[2025-02-02 18:55:42,675] torch.distributed.run: [WARNING] [2025-02-02 18:55:42,675] torch.distributed.run: [WARNING] ***************************************** [2025-02-02 18:55:42,675] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. [2025-02-02 18:55:42,675] torch.distributed.run: [WARNING] ***************************************** /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/timm/models/layers/__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/timm/models/layers/__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) Local Rank: 1, World Size: 2 RANK and WORLD_SIZE in environment: 1/2 Local Rank: 0, World Size: 2 RANK and WORLD_SIZE in environment: 0/2 Image size: 480 Metric Learning Ops metric learning flag : True metric loss weight : 0.1 metric mode and hardpos selection : hardpos_only_refined strict margin value : 10.0 temperature : 0.07 loading dataset refcocog into memory... loading dataset split umd creating index... index created. DONE (t=5.30s) loading dataset refcocog into memory... loading dataset split umd creating index... index created. DONE (t=4.69s) /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 6, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary. warnings.warn(_create_warning_msg( /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] local rank 0 / global rank 0 successfully built train dataset. /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 6, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary. warnings.warn(_create_warning_msg( dmmi_swin_hardpos_only Window size 12! /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] Initializing Multi-modal Swin Transformer weights from /data2/projects/chaeyun/LAVT-RIS/pretrained_weights/swin_base_patch4_window12_384_22k.pth /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. warnings.warn(warning.format(ret)) /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. warnings.warn(warning.format(ret)) Epoch: [0] [ 0/5278] eta: 8:27:00 lr: 4.9999786851029476e-05 loss: 0.8114 (0.8114) loss_seg: 0.8780 (0.8780) loss_lansim: 0.2336 (0.2336) loss_contra: 2.8420 (2.8420) time: 5.7636 data: 2.2097 max mem: 20965 Epoch: [0] [ 10/5278] eta: 4:06:39 lr: 4.999765535577125e-05 loss: 0.4962 (0.5683) loss_seg: 0.5273 (0.5775) loss_lansim: 0.1918 (0.1880) loss_contra: 2.8006 (2.7694) time: 2.8094 data: 0.2040 max mem: 20965 Epoch: [0] [ 20/5278] eta: 3:55:19 lr: 4.9995523850416324e-05 loss: 0.4346 (0.4962) loss_seg: 0.4600 (0.5001) loss_lansim: 0.2188 (0.2186) loss_contra: 2.6684 (2.5836) time: 2.6854 data: 0.1076 max mem: 23435 Epoch: [0] [ 30/5278] eta: 3:53:16 lr: 4.9993392334964207e-05 loss: 0.3994 (0.4766) loss_seg: 0.4000 (0.4814) loss_lansim: 0.2276 (0.2273) loss_contra: 2.4588 (2.3721) time: 2.6670 data: 0.0736 max mem: 28839 Epoch: [0] [ 40/5278] eta: 3:49:11 lr: 4.999126080941435e-05 loss: 0.3884 (0.4727) loss_seg: 0.3964 (0.4784) loss_lansim: 0.2273 (0.2281) loss_contra: 2.2947 (2.2108) time: 2.6254 data: 0.0562 max mem: 28839 Epoch: [0] [ 50/5278] eta: 3:47:39 lr: 4.998912927376624e-05 loss: 0.3711 (0.4500) loss_seg: 0.3762 (0.4571) loss_lansim: 0.2232 (0.2235) loss_contra: 2.1814 (2.1042) time: 2.6127 data: 0.0457 max mem: 31630 Epoch: [0] [ 60/5278] eta: 3:46:52 lr: 4.9986997728019336e-05 loss: 0.3536 (0.4350) loss_seg: 0.3641 (0.4427) loss_lansim: 0.2188 (0.2179) loss_contra: 2.0641 (2.0409) time: 2.6087 data: 0.0386 max mem: 31630 Epoch: [0] [ 70/5278] eta: 3:45:23 lr: 4.998486617217312e-05 loss: 0.3515 (0.4233) loss_seg: 0.3619 (0.4315) loss_lansim: 0.2090 (0.2118) loss_contra: 1.9583 (1.9458) time: 2.5967 data: 0.0335 max mem: 31630 Epoch: [0] [ 80/5278] eta: 3:44:39 lr: 4.998273460622707e-05 loss: 0.3371 (0.4089) loss_seg: 0.3346 (0.4179) loss_lansim: 0.1986 (0.2024) loss_contra: 1.9019 (1.9205) time: 2.5932 data: 0.0297 max mem: 31630 Epoch: [0] [ 90/5278] eta: 3:43:52 lr: 4.998060303018065e-05 loss: 0.3290 (0.4162) loss_seg: 0.3268 (0.4253) loss_lansim: 0.1929 (0.1939) loss_contra: 1.8140 (1.8737) time: 2.5891 data: 0.0267 max mem: 31630 Epoch: [0] [ 100/5278] eta: 3:42:49 lr: 4.9978471444033336e-05 loss: 0.3273 (0.4074) loss_seg: 0.3245 (0.4170) loss_lansim: 0.1852 (0.1854) loss_contra: 1.7322 (1.8489) time: 2.5501 data: 0.0025 max mem: 31630 Epoch: [0] [ 110/5278] eta: 3:42:48 lr: 4.997633984778461e-05 loss: 0.3046 (0.3991) loss_seg: 0.3208 (0.4100) loss_lansim: 0.1757 (0.1775) loss_contra: 1.6771 (1.7996) time: 2.5624 data: 0.0024 max mem: 31630 Epoch: [0] [ 120/5278] eta: 3:42:28 lr: 4.9974208241433936e-05 loss: 0.2998 (0.3901) loss_seg: 0.3101 (0.4012) loss_lansim: 0.1513 (0.1722) loss_contra: 1.5888 (1.7355) time: 2.5676 data: 0.0025 max mem: 31630 Epoch: [0] [ 130/5278] eta: 3:41:34 lr: 4.99720766249808e-05 loss: 0.2898 (0.3853) loss_seg: 0.3094 (0.3965) loss_lansim: 0.1331 (0.1669) loss_contra: 1.5084 (1.6992) time: 2.5563 data: 0.0026 max mem: 31630 Epoch: [0] [ 140/5278] eta: 3:41:23 lr: 4.996994499842465e-05 loss: 0.2881 (0.3836) loss_seg: 0.3043 (0.3947) loss_lansim: 0.1244 (0.1627) loss_contra: 1.3625 (1.6436) time: 2.5689 data: 0.0026 max mem: 31630 Epoch: [0] [ 150/5278] eta: 3:40:52 lr: 4.996781336176498e-05 loss: 0.2898 (0.3799) loss_seg: 0.3094 (0.3916) loss_lansim: 0.1137 (0.1596) loss_contra: 1.2946 (1.5865) time: 2.5697 data: 0.0026 max mem: 31630 Epoch: [0] [ 160/5278] eta: 3:40:36 lr: 4.996568171500126e-05 loss: 0.2834 (0.3729) loss_seg: 0.3020 (0.3850) loss_lansim: 0.1127 (0.1572) loss_contra: 1.2514 (1.5550) time: 2.5726 data: 0.0026 max mem: 31630 Epoch: [0] [ 170/5278] eta: 3:39:49 lr: 4.996355005813296e-05 loss: 0.2834 (0.3681) loss_seg: 0.3014 (0.3799) loss_lansim: 0.1103 (0.1545) loss_contra: 1.1280 (1.5108) time: 2.5716 data: 0.0025 max mem: 31630 Epoch: [0] [ 180/5278] eta: 3:39:22 lr: 4.996141839115956e-05 loss: 0.2813 (0.3636) loss_seg: 0.3014 (0.3761) loss_lansim: 0.1066 (0.1519) loss_contra: 1.0279 (1.4695) time: 2.5729 data: 0.0026 max mem: 31639 Epoch: [0] [ 190/5278] eta: 3:38:43 lr: 4.9959286714080524e-05 loss: 0.2855 (0.3642) loss_seg: 0.3041 (0.3776) loss_lansim: 0.1062 (0.1494) loss_contra: 0.9131 (1.4293) time: 2.5705 data: 0.0026 max mem: 31639 Epoch: [0] [ 200/5278] eta: 3:38:21 lr: 4.995715502689532e-05 loss: 0.2850 (0.3605) loss_seg: 0.3033 (0.3742) loss_lansim: 0.1059 (0.1476) loss_contra: 0.8435 (1.3884) time: 2.5780 data: 0.0025 max mem: 31639 Epoch: [0] [ 210/5278] eta: 3:37:41 lr: 4.9955023329603445e-05 loss: 0.2881 (0.3608) loss_seg: 0.3041 (0.3744) loss_lansim: 0.1103 (0.1478) loss_contra: 0.7978 (1.3562) time: 2.5664 data: 0.0026 max mem: 31639 Epoch: [0] [ 220/5278] eta: 3:37:03 lr: 4.9952891622204344e-05 loss: 0.2881 (0.3608) loss_seg: 0.3041 (0.3740) loss_lansim: 0.1103 (0.1463) loss_contra: 0.8199 (1.3327) time: 2.5588 data: 0.0026 max mem: 31639 Epoch: [0] [ 230/5278] eta: 3:36:37 lr: 4.995075990469751e-05 loss: 0.2904 (0.3583) loss_seg: 0.3041 (0.3716) loss_lansim: 0.1092 (0.1442) loss_contra: 0.7978 (1.3218) time: 2.5645 data: 0.0025 max mem: 31639 Epoch: [0] [ 240/5278] eta: 3:36:06 lr: 4.99486281770824e-05 loss: 0.2855 (0.3553) loss_seg: 0.3033 (0.3686) loss_lansim: 0.1092 (0.1423) loss_contra: 0.7747 (1.3061) time: 2.5576 data: 0.0025 max mem: 31639 Epoch: [0] [ 250/5278] eta: 3:35:22 lr: 4.9946496439358506e-05 loss: 0.2826 (0.3535) loss_seg: 0.3014 (0.3672) loss_lansim: 0.1072 (0.1402) loss_contra: 0.6927 (1.2777) time: 2.5486 data: 0.0026 max mem: 31639 Epoch: [0] [ 260/5278] eta: 3:34:55 lr: 4.994436469152528e-05 loss: 0.2904 (0.3515) loss_seg: 0.3033 (0.3655) loss_lansim: 0.1050 (0.1390) loss_contra: 0.6790 (1.2450) time: 2.5436 data: 0.0026 max mem: 31639 Epoch: [0] [ 270/5278] eta: 3:34:37 lr: 4.99422329335822e-05 loss: 0.2826 (0.3498) loss_seg: 0.3050 (0.3644) loss_lansim: 0.1037 (0.1375) loss_contra: 0.6192 (1.2183) time: 2.5529 data: 0.0026 max mem: 31639 Epoch: [0] [ 280/5278] eta: 3:34:18 lr: 4.9940101165528746e-05 loss: 0.2943 (0.3480) loss_seg: 0.3108 (0.3628) loss_lansim: 0.1023 (0.1361) loss_contra: 0.6192 (1.1946) time: 2.5558 data: 0.0026 max mem: 31639 Epoch: [0] [ 290/5278] eta: 3:33:46 lr: 4.993796938736439e-05 loss: 0.2920 (0.3480) loss_seg: 0.3105 (0.3633) loss_lansim: 0.1023 (0.1351) loss_contra: 0.6127 (1.1777) time: 2.5562 data: 0.0026 max mem: 31639 Epoch: [0] [ 300/5278] eta: 3:33:28 lr: 4.99358375990886e-05 loss: 0.2904 (0.3452) loss_seg: 0.3053 (0.3604) loss_lansim: 0.0966 (0.1338) loss_contra: 0.6379 (1.1652) time: 2.5591 data: 0.0027 max mem: 31639 Epoch: [0] [ 310/5278] eta: 3:33:00 lr: 4.9933705800700855e-05 loss: 0.2780 (0.3425) loss_seg: 0.2992 (0.3580) loss_lansim: 0.0957 (0.1327) loss_contra: 0.6073 (1.1361) time: 2.5630 data: 0.0027 max mem: 31639 Epoch: [0] [ 320/5278] eta: 3:32:30 lr: 4.993157399220061e-05 loss: 0.2780 (0.3400) loss_seg: 0.2989 (0.3555) loss_lansim: 0.0952 (0.1317) loss_contra: 0.5515 (1.1138) time: 2.5650 data: 0.0027 max mem: 31639 Epoch: [0] [ 330/5278] eta: 3:32:08 lr: 4.9929442173587366e-05 loss: 0.2654 (0.3368) loss_seg: 0.2871 (0.3525) loss_lansim: 0.0952 (0.1307) loss_contra: 0.4867 (1.0907) time: 2.5674 data: 0.0027 max mem: 31642 Epoch: [0] [ 340/5278] eta: 3:31:52 lr: 4.992731034486057e-05 loss: 0.2654 (0.3347) loss_seg: 0.2871 (0.3506) loss_lansim: 0.0963 (0.1301) loss_contra: 0.4550 (1.0727) time: 2.5759 data: 0.0027 max mem: 31643 Epoch: [0] [ 350/5278] eta: 3:31:23 lr: 4.99251785060197e-05 loss: 0.2608 (0.3322) loss_seg: 0.2835 (0.3482) loss_lansim: 0.0972 (0.1293) loss_contra: 0.3965 (1.0524) time: 2.5829 data: 0.0026 max mem: 31643 Epoch: [0] [ 360/5278] eta: 3:31:01 lr: 4.992304665706423e-05 loss: 0.2608 (0.3303) loss_seg: 0.2830 (0.3465) loss_lansim: 0.0969 (0.1283) loss_contra: 0.3652 (1.0326) time: 2.5863 data: 0.0026 max mem: 31643 Epoch: [0] [ 370/5278] eta: 3:30:37 lr: 4.992091479799364e-05 loss: 0.2573 (0.3294) loss_seg: 0.2762 (0.3458) loss_lansim: 0.0997 (0.1278) loss_contra: 0.3796 (1.0255) time: 2.5843 data: 0.0025 max mem: 31643 Epoch: [0] [ 380/5278] eta: 3:30:07 lr: 4.9918782928807396e-05 loss: 0.2528 (0.3291) loss_seg: 0.2719 (0.3458) loss_lansim: 0.1011 (0.1272) loss_contra: 0.3796 (1.0163) time: 2.5774 data: 0.0025 max mem: 31643 Epoch: [0] [ 390/5278] eta: 3:29:44 lr: 4.991665104950496e-05 loss: 0.2528 (0.3280) loss_seg: 0.2682 (0.3446) loss_lansim: 0.1032 (0.1283) loss_contra: 0.3796 (1.0053) time: 2.5841 data: 0.0025 max mem: 31643 Epoch: [0] [ 400/5278] eta: 3:29:24 lr: 4.9914519160085815e-05 loss: 0.2497 (0.3259) loss_seg: 0.2654 (0.3425) loss_lansim: 0.1051 (0.1293) loss_contra: 0.3796 (1.0081) time: 2.5840 data: 0.0025 max mem: 31650 Epoch: [0] [ 410/5278] eta: 3:29:06 lr: 4.991238726054944e-05 loss: 0.2544 (0.3253) loss_seg: 0.2679 (0.3420) loss_lansim: 0.1080 (0.1297) loss_contra: 0.4569 (1.0092) time: 2.5924 data: 0.0025 max mem: 31650 Epoch: [0] [ 420/5278] eta: 3:28:43 lr: 4.991025535089529e-05 loss: 0.2565 (0.3244) loss_seg: 0.2682 (0.3410) loss_lansim: 0.1129 (0.1302) loss_contra: 0.5162 (1.0015) time: 2.5980 data: 0.0025 max mem: 31650 Epoch: [0] [ 430/5278] eta: 3:28:21 lr: 4.990812343112285e-05 loss: 0.2595 (0.3237) loss_seg: 0.2733 (0.3405) loss_lansim: 0.1167 (0.1309) loss_contra: 0.5298 (0.9902) time: 2.5995 data: 0.0025 max mem: 31650 Epoch: [0] [ 440/5278] eta: 3:27:54 lr: 4.990599150123158e-05 loss: 0.2657 (0.3234) loss_seg: 0.2808 (0.3403) loss_lansim: 0.1215 (0.1320) loss_contra: 0.5389 (0.9795) time: 2.5924 data: 0.0025 max mem: 31650 Epoch: [0] [ 450/5278] eta: 3:27:26 lr: 4.990385956122097e-05 loss: 0.2640 (0.3208) loss_seg: 0.2779 (0.3376) loss_lansim: 0.1285 (0.1328) loss_contra: 0.5683 (0.9691) time: 2.5930 data: 0.0025 max mem: 31650 Epoch: [0] [ 460/5278] eta: 3:26:59 lr: 4.990172761109047e-05 loss: 0.2565 (0.3191) loss_seg: 0.2733 (0.3359) loss_lansim: 0.1375 (0.1329) loss_contra: 0.5731 (0.9584) time: 2.5893 data: 0.0025 max mem: 31650 Epoch: [0] [ 470/5278] eta: 3:26:35 lr: 4.9899595650839556e-05 loss: 0.2521 (0.3178) loss_seg: 0.2666 (0.3346) loss_lansim: 0.1458 (0.1333) loss_contra: 0.5731 (0.9501) time: 2.5904 data: 0.0025 max mem: 31650 Epoch: [0] [ 480/5278] eta: 3:26:13 lr: 4.989746368046771e-05 loss: 0.2565 (0.3181) loss_seg: 0.2733 (0.3351) loss_lansim: 0.1506 (0.1337) loss_contra: 0.5683 (0.9430) time: 2.5978 data: 0.0025 max mem: 31650 Epoch: [0] [ 490/5278] eta: 3:25:44 lr: 4.9895331699974395e-05 loss: 0.2484 (0.3166) loss_seg: 0.2656 (0.3337) loss_lansim: 0.1506 (0.1343) loss_contra: 0.5683 (0.9334) time: 2.5925 data: 0.0025 max mem: 31650 Epoch: [0] [ 500/5278] eta: 3:25:24 lr: 4.9893199709359095e-05 loss: 0.2445 (0.3147) loss_seg: 0.2633 (0.3317) loss_lansim: 0.1495 (0.1345) loss_contra: 0.5311 (0.9222) time: 2.5946 data: 0.0025 max mem: 31650 Epoch: [0] [ 510/5278] eta: 3:25:04 lr: 4.989106770862127e-05 loss: 0.2439 (0.3146) loss_seg: 0.2633 (0.3317) loss_lansim: 0.1495 (0.1345) loss_contra: 0.5298 (0.9207) time: 2.5943 data: 0.0025 max mem: 31650 Epoch: [0] [ 520/5278] eta: 3:24:40 lr: 4.9888935697760384e-05 loss: 0.2416 (0.3137) loss_seg: 0.2602 (0.3309) loss_lansim: 0.1473 (0.1343) loss_contra: 0.4865 (0.9116) time: 2.5942 data: 0.0025 max mem: 31650 Epoch: [0] [ 530/5278] eta: 3:24:12 lr: 4.988680367677592e-05 loss: 0.2376 (0.3117) loss_seg: 0.2570 (0.3289) loss_lansim: 0.1425 (0.1343) loss_contra: 0.4163 (0.8993) time: 2.5879 data: 0.0024 max mem: 31650 Epoch: [0] [ 540/5278] eta: 3:23:41 lr: 4.988467164566736e-05 loss: 0.2314 (0.3101) loss_seg: 0.2511 (0.3272) loss_lansim: 0.1375 (0.1340) loss_contra: 0.3730 (0.8879) time: 2.5839 data: 0.0024 max mem: 31650 Epoch: [0] [ 550/5278] eta: 3:23:17 lr: 4.988253960443415e-05 loss: 0.2353 (0.3089) loss_seg: 0.2514 (0.3261) loss_lansim: 0.1355 (0.1338) loss_contra: 0.3610 (0.8781) time: 2.5880 data: 0.0024 max mem: 31650 Epoch: [0] [ 560/5278] eta: 3:22:45 lr: 4.988040755307578e-05 loss: 0.2353 (0.3085) loss_seg: 0.2537 (0.3254) loss_lansim: 0.1296 (0.1335) loss_contra: 0.3610 (0.8714) time: 2.5828 data: 0.0024 max mem: 31650 Epoch: [0] [ 570/5278] eta: 3:22:18 lr: 4.98782754915917e-05 loss: 0.2356 (0.3078) loss_seg: 0.2554 (0.3247) loss_lansim: 0.1276 (0.1334) loss_contra: 0.3123 (0.8638) time: 2.5790 data: 0.0024 max mem: 31650 Epoch: [0] [ 580/5278] eta: 3:21:47 lr: 4.987614341998141e-05 loss: 0.2356 (0.3074) loss_seg: 0.2559 (0.3245) loss_lansim: 0.1253 (0.1334) loss_contra: 0.2871 (0.8515) time: 2.5684 data: 0.0025 max mem: 31650 Epoch: [0] [ 590/5278] eta: 3:21:22 lr: 4.987401133824436e-05 loss: 0.2408 (0.3064) loss_seg: 0.2559 (0.3236) loss_lansim: 0.1231 (0.1333) loss_contra: 0.2571 (0.8418) time: 2.5726 data: 0.0025 max mem: 31650 Epoch: [0] [ 600/5278] eta: 3:20:48 lr: 4.9871879246380026e-05 loss: 0.2508 (0.3059) loss_seg: 0.2623 (0.3230) loss_lansim: 0.1228 (0.1336) loss_contra: 0.2871 (0.8368) time: 2.5557 data: 0.0025 max mem: 31650 Epoch: [0] [ 610/5278] eta: 3:20:18 lr: 4.986974714438788e-05 loss: 0.2461 (0.3052) loss_seg: 0.2570 (0.3223) loss_lansim: 0.1222 (0.1335) loss_contra: 0.2487 (0.8316) time: 2.5440 data: 0.0026 max mem: 31650 Epoch: [0] [ 620/5278] eta: 3:19:51 lr: 4.986761503226739e-05 loss: 0.2492 (0.3046) loss_seg: 0.2570 (0.3218) loss_lansim: 0.1222 (0.1335) loss_contra: 0.2188 (0.8241) time: 2.5388 data: 0.0026 max mem: 31650 Epoch: [0] [ 630/5278] eta: 3:19:22 lr: 4.9865482910018036e-05 loss: 0.2479 (0.3032) loss_seg: 0.2566 (0.3203) loss_lansim: 0.1231 (0.1337) loss_contra: 0.2188 (0.8178) time: 2.5373 data: 0.0027 max mem: 31650 Epoch: [0] [ 640/5278] eta: 3:18:53 lr: 4.9863350777639276e-05 loss: 0.2508 (0.3025) loss_seg: 0.2566 (0.3195) loss_lansim: 0.1245 (0.1337) loss_contra: 0.2283 (0.8139) time: 2.5373 data: 0.0026 max mem: 31650 Epoch: [0] [ 650/5278] eta: 3:18:32 lr: 4.986121863513059e-05 loss: 0.2508 (0.3021) loss_seg: 0.2698 (0.3192) loss_lansim: 0.1269 (0.1339) loss_contra: 0.2188 (0.8062) time: 2.5420 data: 0.0027 max mem: 31650 Epoch: [0] [ 660/5278] eta: 3:18:07 lr: 4.985908648249145e-05 loss: 0.2508 (0.3012) loss_seg: 0.2698 (0.3182) loss_lansim: 0.1324 (0.1341) loss_contra: 0.2188 (0.7985) time: 2.5489 data: 0.0027 max mem: 31650 Epoch: [0] [ 670/5278] eta: 3:17:39 lr: 4.985695431972131e-05 loss: 0.2486 (0.3005) loss_seg: 0.2566 (0.3177) loss_lansim: 0.1324 (0.1340) loss_contra: 0.2585 (0.7944) time: 2.5473 data: 0.0027 max mem: 31650 Epoch: [0] [ 680/5278] eta: 3:17:10 lr: 4.985482214681966e-05 loss: 0.2435 (0.2995) loss_seg: 0.2525 (0.3166) loss_lansim: 0.1343 (0.1345) loss_contra: 0.2660 (0.7857) time: 2.5493 data: 0.0027 max mem: 31650 Epoch: [0] [ 690/5278] eta: 3:16:42 lr: 4.985268996378595e-05 loss: 0.2321 (0.2987) loss_seg: 0.2478 (0.3158) loss_lansim: 0.1356 (0.1347) loss_contra: 0.2585 (0.7790) time: 2.5441 data: 0.0028 max mem: 31650 Epoch: [0] [ 700/5278] eta: 3:16:19 lr: 4.9850557770619675e-05 loss: 0.2226 (0.2977) loss_seg: 0.2444 (0.3148) loss_lansim: 0.1366 (0.1350) loss_contra: 0.2188 (0.7721) time: 2.5577 data: 0.0027 max mem: 31650 Epoch: [0] [ 710/5278] eta: 3:15:52 lr: 4.98484255673203e-05 loss: 0.2226 (0.2968) loss_seg: 0.2418 (0.3139) loss_lansim: 0.1398 (0.1353) loss_contra: 0.2133 (0.7643) time: 2.5615 data: 0.0027 max mem: 31650 Epoch: [0] [ 720/5278] eta: 3:15:19 lr: 4.984629335388727e-05 loss: 0.2223 (0.2962) loss_seg: 0.2405 (0.3131) loss_lansim: 0.1403 (0.1355) loss_contra: 0.2527 (0.7610) time: 2.5525 data: 0.0027 max mem: 31650 Epoch: [0] [ 730/5278] eta: 3:14:51 lr: 4.9844161130320084e-05 loss: 0.2260 (0.2953) loss_seg: 0.2411 (0.3122) loss_lansim: 0.1403 (0.1356) loss_contra: 0.2527 (0.7547) time: 2.5527 data: 0.0026 max mem: 31650 Epoch: [0] [ 740/5278] eta: 3:14:22 lr: 4.984202889661819e-05 loss: 0.2260 (0.2953) loss_seg: 0.2411 (0.3121) loss_lansim: 0.1398 (0.1355) loss_contra: 0.2585 (0.7548) time: 2.5504 data: 0.0026 max mem: 31650 Epoch: [0] [ 750/5278] eta: 3:13:53 lr: 4.9839896652781085e-05 loss: 0.2263 (0.2950) loss_seg: 0.2419 (0.3120) loss_lansim: 0.1403 (0.1358) loss_contra: 0.2660 (0.7507) time: 2.5382 data: 0.0026 max mem: 31650 Epoch: [0] [ 760/5278] eta: 3:13:25 lr: 4.983776439880822e-05 loss: 0.2310 (0.2950) loss_seg: 0.2460 (0.3120) loss_lansim: 0.1399 (0.1358) loss_contra: 0.2762 (0.7470) time: 2.5337 data: 0.0026 max mem: 31650 Epoch: [0] [ 770/5278] eta: 3:12:57 lr: 4.9835632134699064e-05 loss: 0.2358 (0.2947) loss_seg: 0.2541 (0.3117) loss_lansim: 0.1443 (0.1361) loss_contra: 0.2762 (0.7427) time: 2.5319 data: 0.0025 max mem: 31650 Epoch: [0] [ 780/5278] eta: 3:12:27 lr: 4.9833499860453094e-05 loss: 0.2361 (0.2943) loss_seg: 0.2547 (0.3113) loss_lansim: 0.1443 (0.1364) loss_contra: 0.2771 (0.7370) time: 2.5284 data: 0.0025 max mem: 31650 Epoch: [0] [ 790/5278] eta: 3:11:59 lr: 4.983136757606978e-05 loss: 0.2369 (0.2937) loss_seg: 0.2550 (0.3107) loss_lansim: 0.1461 (0.1366) loss_contra: 0.3108 (0.7356) time: 2.5269 data: 0.0024 max mem: 31650 Epoch: [0] [ 800/5278] eta: 3:11:38 lr: 4.9829235281548584e-05 loss: 0.2369 (0.2930) loss_seg: 0.2550 (0.3101) loss_lansim: 0.1455 (0.1367) loss_contra: 0.3294 (0.7327) time: 2.5315 data: 0.0024 max mem: 31650 Epoch: [0] [ 810/5278] eta: 3:11:09 lr: 4.982710297688899e-05 loss: 0.2394 (0.2926) loss_seg: 0.2550 (0.3096) loss_lansim: 0.1434 (0.1366) loss_contra: 0.3565 (0.7285) time: 2.5258 data: 0.0025 max mem: 31650 Epoch: [0] [ 820/5278] eta: 3:10:41 lr: 4.982497066209045e-05 loss: 0.2411 (0.2928) loss_seg: 0.2616 (0.3100) loss_lansim: 0.1413 (0.1365) loss_contra: 0.3546 (0.7256) time: 2.5330 data: 0.0025 max mem: 31650 Epoch: [0] [ 830/5278] eta: 3:10:16 lr: 4.982283833715245e-05 loss: 0.2411 (0.2920) loss_seg: 0.2618 (0.3091) loss_lansim: 0.1402 (0.1364) loss_contra: 0.3108 (0.7177) time: 2.5367 data: 0.0025 max mem: 31650 Epoch: [0] [ 840/5278] eta: 3:09:52 lr: 4.982070600207444e-05 loss: 0.2412 (0.2914) loss_seg: 0.2625 (0.3085) loss_lansim: 0.1404 (0.1364) loss_contra: 0.2771 (0.7142) time: 2.5460 data: 0.0025 max mem: 31650 Epoch: [0] [ 850/5278] eta: 3:09:25 lr: 4.9818573656855914e-05 loss: 0.2411 (0.2908) loss_seg: 0.2616 (0.3079) loss_lansim: 0.1374 (0.1363) loss_contra: 0.2239 (0.7089) time: 2.5477 data: 0.0025 max mem: 31650 Epoch: [0] [ 860/5278] eta: 3:08:58 lr: 4.981644130149633e-05 loss: 0.2387 (0.2906) loss_seg: 0.2605 (0.3076) loss_lansim: 0.1393 (0.1365) loss_contra: 0.2434 (0.7055) time: 2.5487 data: 0.0025 max mem: 31650 Epoch: [0] [ 870/5278] eta: 3:08:32 lr: 4.9814308935995154e-05 loss: 0.2387 (0.2903) loss_seg: 0.2597 (0.3073) loss_lansim: 0.1370 (0.1364) loss_contra: 0.1890 (0.6994) time: 2.5517 data: 0.0025 max mem: 31650 Epoch: [0] [ 880/5278] eta: 3:08:04 lr: 4.9812176560351846e-05 loss: 0.2376 (0.2896) loss_seg: 0.2567 (0.3067) loss_lansim: 0.1330 (0.1362) loss_contra: 0.2094 (0.6954) time: 2.5549 data: 0.0025 max mem: 31650 Epoch: [0] [ 890/5278] eta: 3:07:40 lr: 4.98100441745659e-05 loss: 0.2376 (0.2889) loss_seg: 0.2567 (0.3059) loss_lansim: 0.1314 (0.1361) loss_contra: 0.1551 (0.6898) time: 2.5620 data: 0.0025 max mem: 31650 Epoch: [0] [ 900/5278] eta: 3:07:20 lr: 4.980791177863677e-05 loss: 0.2387 (0.2890) loss_seg: 0.2575 (0.3061) loss_lansim: 0.1303 (0.1361) loss_contra: 0.1521 (0.6844) time: 2.5644 data: 0.0025 max mem: 31650 Epoch: [0] [ 910/5278] eta: 3:06:52 lr: 4.980577937256393e-05 loss: 0.2404 (0.2889) loss_seg: 0.2627 (0.3062) loss_lansim: 0.1320 (0.1364) loss_contra: 0.1391 (0.6802) time: 2.5656 data: 0.0025 max mem: 31650 Epoch: [0] [ 920/5278] eta: 3:06:26 lr: 4.980364695634684e-05 loss: 0.2376 (0.2885) loss_seg: 0.2575 (0.3058) loss_lansim: 0.1323 (0.1365) loss_contra: 0.1013 (0.6755) time: 2.5698 data: 0.0025 max mem: 31650 Epoch: [0] [ 930/5278] eta: 3:06:03 lr: 4.9801514529984984e-05 loss: 0.2387 (0.2880) loss_seg: 0.2584 (0.3054) loss_lansim: 0.1349 (0.1367) loss_contra: 0.1013 (0.6692) time: 2.5741 data: 0.0025 max mem: 31650 Epoch: [0] [ 940/5278] eta: 3:05:33 lr: 4.979938209347782e-05 loss: 0.2364 (0.2873) loss_seg: 0.2573 (0.3047) loss_lansim: 0.1387 (0.1370) loss_contra: 0.1052 (0.6651) time: 2.5618 data: 0.0026 max mem: 31650 Epoch: [0] [ 950/5278] eta: 3:05:04 lr: 4.9797249646824823e-05 loss: 0.2397 (0.2874) loss_seg: 0.2575 (0.3047) loss_lansim: 0.1386 (0.1369) loss_contra: 0.1052 (0.6591) time: 2.5567 data: 0.0026 max mem: 31650 Epoch: [0] [ 960/5278] eta: 3:04:37 lr: 4.979511719002546e-05 loss: 0.2314 (0.2865) loss_seg: 0.2491 (0.3038) loss_lansim: 0.1349 (0.1368) loss_contra: 0.0884 (0.6553) time: 2.5574 data: 0.0026 max mem: 31650 Epoch: [0] [ 970/5278] eta: 3:04:09 lr: 4.9792984723079195e-05 loss: 0.2330 (0.2867) loss_seg: 0.2501 (0.3042) loss_lansim: 0.1363 (0.1370) loss_contra: 0.1013 (0.6502) time: 2.5518 data: 0.0026 max mem: 31650 Epoch: [0] [ 980/5278] eta: 3:03:47 lr: 4.9790852245985496e-05 loss: 0.2287 (0.2860) loss_seg: 0.2491 (0.3035) loss_lansim: 0.1387 (0.1371) loss_contra: 0.0911 (0.6458) time: 2.5633 data: 0.0026 max mem: 31650 Epoch: [0] [ 990/5278] eta: 3:03:21 lr: 4.978871975874385e-05 loss: 0.2287 (0.2856) loss_seg: 0.2491 (0.3031) loss_lansim: 0.1434 (0.1373) loss_contra: 0.1010 (0.6419) time: 2.5613 data: 0.0026 max mem: 31650 Epoch: [0] [1000/5278] eta: 3:02:54 lr: 4.978658726135371e-05 loss: 0.2266 (0.2852) loss_seg: 0.2442 (0.3027) loss_lansim: 0.1429 (0.1372) loss_contra: 0.1013 (0.6389) time: 2.5464 data: 0.0026 max mem: 31650 Epoch: [0] [1010/5278] eta: 3:02:24 lr: 4.9784454753814544e-05 loss: 0.2253 (0.2849) loss_seg: 0.2438 (0.3023) loss_lansim: 0.1450 (0.1373) loss_contra: 0.1165 (0.6384) time: 2.5401 data: 0.0025 max mem: 31650 Epoch: [0] [1020/5278] eta: 3:02:01 lr: 4.9782322236125816e-05 loss: 0.2277 (0.2844) loss_seg: 0.2412 (0.3018) loss_lansim: 0.1408 (0.1372) loss_contra: 0.1378 (0.6359) time: 2.5471 data: 0.0025 max mem: 31650 Epoch: [0] [1030/5278] eta: 3:01:34 lr: 4.978018970828701e-05 loss: 0.2253 (0.2839) loss_seg: 0.2412 (0.3013) loss_lansim: 0.1380 (0.1371) loss_contra: 0.1606 (0.6316) time: 2.5381 data: 0.0025 max mem: 31650 Epoch: [0] [1040/5278] eta: 3:01:08 lr: 4.977805717029759e-05 loss: 0.2209 (0.2831) loss_seg: 0.2412 (0.3004) loss_lansim: 0.1327 (0.1370) loss_contra: 0.1981 (0.6303) time: 2.5465 data: 0.0025 max mem: 31650 Epoch: [0] [1050/5278] eta: 3:00:40 lr: 4.977592462215702e-05 loss: 0.2199 (0.2828) loss_seg: 0.2387 (0.3000) loss_lansim: 0.1346 (0.1369) loss_contra: 0.1858 (0.6266) time: 2.5491 data: 0.0025 max mem: 31650 Epoch: [0] [1060/5278] eta: 3:00:17 lr: 4.977379206386477e-05 loss: 0.2285 (0.2826) loss_seg: 0.2420 (0.2998) loss_lansim: 0.1346 (0.1368) loss_contra: 0.2278 (0.6228) time: 2.5561 data: 0.0025 max mem: 31650 Epoch: [0] [1070/5278] eta: 2:59:53 lr: 4.9771659495420305e-05 loss: 0.2285 (0.2827) loss_seg: 0.2420 (0.3000) loss_lansim: 0.1346 (0.1368) loss_contra: 0.2286 (0.6190) time: 2.5668 data: 0.0025 max mem: 31650 Epoch: [0] [1080/5278] eta: 2:59:29 lr: 4.9769526916823105e-05 loss: 0.2362 (0.2825) loss_seg: 0.2498 (0.2998) loss_lansim: 0.1299 (0.1367) loss_contra: 0.2144 (0.6142) time: 2.5627 data: 0.0024 max mem: 31650 Epoch: [0] [1090/5278] eta: 2:59:05 lr: 4.976739432807262e-05 loss: 0.2376 (0.2824) loss_seg: 0.2503 (0.2997) loss_lansim: 0.1274 (0.1365) loss_contra: 0.2144 (0.6102) time: 2.5653 data: 0.0025 max mem: 31650 Epoch: [0] [1100/5278] eta: 2:58:41 lr: 4.9765261729168336e-05 loss: 0.2376 (0.2820) loss_seg: 0.2522 (0.2994) loss_lansim: 0.1239 (0.1363) loss_contra: 0.1604 (0.6057) time: 2.5743 data: 0.0025 max mem: 31650 Epoch: [0] [1110/5278] eta: 2:58:15 lr: 4.9763129120109716e-05 loss: 0.2362 (0.2814) loss_seg: 0.2503 (0.2989) loss_lansim: 0.1207 (0.1362) loss_contra: 0.0907 (0.6010) time: 2.5844 data: 0.0025 max mem: 31650 Epoch: [0] [1120/5278] eta: 2:57:44 lr: 4.976099650089622e-05 loss: 0.2362 (0.2810) loss_seg: 0.2503 (0.2984) loss_lansim: 0.1229 (0.1361) loss_contra: 0.0660 (0.5975) time: 2.5638 data: 0.0025 max mem: 31650 Epoch: [0] [1130/5278] eta: 2:57:18 lr: 4.9758863871527325e-05 loss: 0.2357 (0.2808) loss_seg: 0.2498 (0.2982) loss_lansim: 0.1267 (0.1362) loss_contra: 0.0657 (0.5939) time: 2.5670 data: 0.0025 max mem: 31650 Epoch: [0] [1140/5278] eta: 2:56:52 lr: 4.9756731232002496e-05 loss: 0.2357 (0.2800) loss_seg: 0.2505 (0.2975) loss_lansim: 0.1275 (0.1361) loss_contra: 0.0567 (0.5894) time: 2.5650 data: 0.0025 max mem: 31650 Epoch: [0] [1150/5278] eta: 2:56:27 lr: 4.97545985823212e-05 loss: 0.2357 (0.2794) loss_seg: 0.2505 (0.2970) loss_lansim: 0.1229 (0.1359) loss_contra: 0.0613 (0.5859) time: 2.5729 data: 0.0025 max mem: 31650 Epoch: [0] [1160/5278] eta: 2:56:00 lr: 4.975246592248291e-05 loss: 0.2357 (0.2794) loss_seg: 0.2505 (0.2969) loss_lansim: 0.1242 (0.1358) loss_contra: 0.0487 (0.5820) time: 2.5639 data: 0.0025 max mem: 31650 Epoch: [0] [1170/5278] eta: 2:55:34 lr: 4.975033325248708e-05 loss: 0.2263 (0.2790) loss_seg: 0.2486 (0.2965) loss_lansim: 0.1183 (0.1355) loss_contra: 0.0486 (0.5782) time: 2.5563 data: 0.0025 max mem: 31650 Epoch: [0] [1180/5278] eta: 2:55:07 lr: 4.9748200572333196e-05 loss: 0.2256 (0.2786) loss_seg: 0.2467 (0.2961) loss_lansim: 0.1190 (0.1354) loss_contra: 0.0486 (0.5757) time: 2.5505 data: 0.0025 max mem: 31650 Epoch: [0] [1190/5278] eta: 2:54:39 lr: 4.974606788202071e-05 loss: 0.2249 (0.2783) loss_seg: 0.2407 (0.2958) loss_lansim: 0.1179 (0.1352) loss_contra: 0.0349 (0.5713) time: 2.5404 data: 0.0025 max mem: 31650 Epoch: [0] [1200/5278] eta: 2:54:15 lr: 4.9743935181549104e-05 loss: 0.2256 (0.2787) loss_seg: 0.2435 (0.2963) loss_lansim: 0.1179 (0.1351) loss_contra: 0.0372 (0.5679) time: 2.5379 data: 0.0025 max mem: 31650 Epoch: [0] [1210/5278] eta: 2:53:51 lr: 4.974180247091784e-05 loss: 0.2267 (0.2784) loss_seg: 0.2467 (0.2960) loss_lansim: 0.1156 (0.1349) loss_contra: 0.0472 (0.5650) time: 2.5437 data: 0.0025 max mem: 31650 Epoch: [0] [1220/5278] eta: 2:53:24 lr: 4.973966975012637e-05 loss: 0.2267 (0.2785) loss_seg: 0.2467 (0.2962) loss_lansim: 0.1134 (0.1347) loss_contra: 0.0294 (0.5612) time: 2.5525 data: 0.0024 max mem: 31650 Epoch: [0] [1230/5278] eta: 2:53:00 lr: 4.973753701917419e-05 loss: 0.2322 (0.2782) loss_seg: 0.2505 (0.2959) loss_lansim: 0.1107 (0.1345) loss_contra: 0.0294 (0.5580) time: 2.5595 data: 0.0024 max mem: 31650 Epoch: [0] [1240/5278] eta: 2:52:35 lr: 4.9735404278060746e-05 loss: 0.2258 (0.2775) loss_seg: 0.2437 (0.2951) loss_lansim: 0.1100 (0.1342) loss_contra: 0.0302 (0.5546) time: 2.5629 data: 0.0024 max mem: 31650 Epoch: [0] [1250/5278] eta: 2:52:09 lr: 4.973327152678551e-05 loss: 0.2267 (0.2775) loss_seg: 0.2467 (0.2952) loss_lansim: 0.1091 (0.1340) loss_contra: 0.0302 (0.5510) time: 2.5589 data: 0.0025 max mem: 31650 Epoch: [0] [1260/5278] eta: 2:51:42 lr: 4.973113876534796e-05 loss: 0.2210 (0.2770) loss_seg: 0.2312 (0.2946) loss_lansim: 0.1080 (0.1338) loss_contra: 0.0372 (0.5480) time: 2.5583 data: 0.0025 max mem: 31650 Epoch: [0] [1270/5278] eta: 2:51:17 lr: 4.972900599374755e-05 loss: 0.2210 (0.2769) loss_seg: 0.2377 (0.2946) loss_lansim: 0.1100 (0.1337) loss_contra: 0.0372 (0.5443) time: 2.5649 data: 0.0025 max mem: 31650 Epoch: [0] [1280/5278] eta: 2:50:52 lr: 4.972687321198376e-05 loss: 0.2258 (0.2766) loss_seg: 0.2437 (0.2943) loss_lansim: 0.1091 (0.1335) loss_contra: 0.0367 (0.5410) time: 2.5668 data: 0.0025 max mem: 31650 Epoch: [0] [1290/5278] eta: 2:50:27 lr: 4.9724740420056044e-05 loss: 0.2268 (0.2764) loss_seg: 0.2456 (0.2940) loss_lansim: 0.1096 (0.1334) loss_contra: 0.0380 (0.5383) time: 2.5758 data: 0.0025 max mem: 31650 Epoch: [0] [1300/5278] eta: 2:49:59 lr: 4.9722607617963874e-05 loss: 0.2210 (0.2760) loss_seg: 0.2384 (0.2937) loss_lansim: 0.1070 (0.1331) loss_contra: 0.0445 (0.5350) time: 2.5676 data: 0.0025 max mem: 31650 Epoch: [0] [1310/5278] eta: 2:49:30 lr: 4.972047480570672e-05 loss: 0.2206 (0.2756) loss_seg: 0.2384 (0.2932) loss_lansim: 0.1073 (0.1329) loss_contra: 0.0445 (0.5325) time: 2.5505 data: 0.0025 max mem: 31650 Epoch: [0] [1320/5278] eta: 2:49:03 lr: 4.9718341983284045e-05 loss: 0.2148 (0.2750) loss_seg: 0.2292 (0.2926) loss_lansim: 0.1083 (0.1329) loss_contra: 0.0452 (0.5294) time: 2.5503 data: 0.0025 max mem: 31650 Epoch: [0] [1330/5278] eta: 2:48:38 lr: 4.971620915069532e-05 loss: 0.2158 (0.2748) loss_seg: 0.2368 (0.2923) loss_lansim: 0.1073 (0.1327) loss_contra: 0.0536 (0.5276) time: 2.5439 data: 0.0025 max mem: 31650 Epoch: [0] [1340/5278] eta: 2:48:10 lr: 4.9714076307940014e-05 loss: 0.2239 (0.2750) loss_seg: 0.2436 (0.2925) loss_lansim: 0.1096 (0.1326) loss_contra: 0.0525 (0.5246) time: 2.5370 data: 0.0025 max mem: 31650 Epoch: [0] [1350/5278] eta: 2:47:43 lr: 4.971194345501758e-05 loss: 0.2239 (0.2746) loss_seg: 0.2429 (0.2921) loss_lansim: 0.1098 (0.1324) loss_contra: 0.0421 (0.5215) time: 2.5316 data: 0.0025 max mem: 31650 Epoch: [0] [1360/5278] eta: 2:47:17 lr: 4.9709810591927505e-05 loss: 0.2262 (0.2744) loss_seg: 0.2460 (0.2920) loss_lansim: 0.1098 (0.1322) loss_contra: 0.0375 (0.5196) time: 2.5331 data: 0.0025 max mem: 31650 Epoch: [0] [1370/5278] eta: 2:46:53 lr: 4.970767771866925e-05 loss: 0.2276 (0.2743) loss_seg: 0.2466 (0.2919) loss_lansim: 0.1096 (0.1320) loss_contra: 0.0404 (0.5173) time: 2.5357 data: 0.0025 max mem: 31650 Epoch: [0] [1380/5278] eta: 2:46:28 lr: 4.9705544835242256e-05 loss: 0.2276 (0.2742) loss_seg: 0.2466 (0.2918) loss_lansim: 0.1099 (0.1319) loss_contra: 0.0479 (0.5144) time: 2.5376 data: 0.0025 max mem: 31650 Epoch: [0] [1390/5278] eta: 2:46:02 lr: 4.9703411941646025e-05 loss: 0.2262 (0.2739) loss_seg: 0.2466 (0.2915) loss_lansim: 0.1103 (0.1318) loss_contra: 0.0536 (0.5125) time: 2.5350 data: 0.0025 max mem: 31650 Epoch: [0] [1400/5278] eta: 2:45:35 lr: 4.970127903788001e-05 loss: 0.2245 (0.2735) loss_seg: 0.2453 (0.2911) loss_lansim: 0.1108 (0.1316) loss_contra: 0.0536 (0.5109) time: 2.5336 data: 0.0025 max mem: 31650 Epoch: [0] [1410/5278] eta: 2:45:11 lr: 4.969914612394368e-05 loss: 0.2269 (0.2731) loss_seg: 0.2475 (0.2908) loss_lansim: 0.1123 (0.1315) loss_contra: 0.0684 (0.5087) time: 2.5541 data: 0.0025 max mem: 31650 Epoch: [0] [1420/5278] eta: 2:44:45 lr: 4.969701319983649e-05 loss: 0.2289 (0.2728) loss_seg: 0.2489 (0.2905) loss_lansim: 0.1110 (0.1312) loss_contra: 0.0798 (0.5070) time: 2.5572 data: 0.0025 max mem: 31650 Epoch: [0] [1430/5278] eta: 2:44:20 lr: 4.969488026555792e-05 loss: 0.2272 (0.2724) loss_seg: 0.2472 (0.2901) loss_lansim: 0.1103 (0.1309) loss_contra: 0.0745 (0.5046) time: 2.5560 data: 0.0025 max mem: 31650 Epoch: [0] [1440/5278] eta: 2:43:55 lr: 4.969274732110743e-05 loss: 0.2262 (0.2723) loss_seg: 0.2400 (0.2900) loss_lansim: 0.1082 (0.1307) loss_contra: 0.0684 (0.5016) time: 2.5656 data: 0.0025 max mem: 31650 Epoch: [0] [1450/5278] eta: 2:43:30 lr: 4.969061436648449e-05 loss: 0.2264 (0.2720) loss_seg: 0.2470 (0.2898) loss_lansim: 0.1082 (0.1306) loss_contra: 0.0684 (0.4993) time: 2.5753 data: 0.0025 max mem: 31650 Epoch: [0] [1460/5278] eta: 2:43:05 lr: 4.968848140168857e-05 loss: 0.2269 (0.2718) loss_seg: 0.2466 (0.2895) loss_lansim: 0.1073 (0.1304) loss_contra: 0.0798 (0.4976) time: 2.5808 data: 0.0025 max mem: 31650 Epoch: [0] [1470/5278] eta: 2:42:39 lr: 4.968634842671913e-05 loss: 0.2264 (0.2717) loss_seg: 0.2400 (0.2893) loss_lansim: 0.1073 (0.1302) loss_contra: 0.0720 (0.4960) time: 2.5735 data: 0.0026 max mem: 31650 Epoch: [0] [1480/5278] eta: 2:42:14 lr: 4.9684215441575625e-05 loss: 0.2209 (0.2713) loss_seg: 0.2386 (0.2890) loss_lansim: 0.1072 (0.1301) loss_contra: 0.0871 (0.4946) time: 2.5726 data: 0.0026 max mem: 31650 Epoch: [0] [1490/5278] eta: 2:41:48 lr: 4.968208244625754e-05 loss: 0.2209 (0.2714) loss_seg: 0.2396 (0.2892) loss_lansim: 0.1073 (0.1300) loss_contra: 0.0936 (0.4925) time: 2.5719 data: 0.0026 max mem: 31650 Epoch: [0] [1500/5278] eta: 2:41:23 lr: 4.967994944076434e-05 loss: 0.2130 (0.2709) loss_seg: 0.2333 (0.2886) loss_lansim: 0.1099 (0.1299) loss_contra: 0.0755 (0.4904) time: 2.5790 data: 0.0026 max mem: 31650 Epoch: [0] [1510/5278] eta: 2:40:57 lr: 4.9677816425095476e-05 loss: 0.2130 (0.2705) loss_seg: 0.2333 (0.2883) loss_lansim: 0.1072 (0.1298) loss_contra: 0.0745 (0.4883) time: 2.5711 data: 0.0026 max mem: 31650 Epoch: [0] [1520/5278] eta: 2:40:33 lr: 4.9675683399250426e-05 loss: 0.2175 (0.2701) loss_seg: 0.2322 (0.2879) loss_lansim: 0.1073 (0.1296) loss_contra: 0.0591 (0.4859) time: 2.5774 data: 0.0026 max mem: 31650 Epoch: [0] [1530/5278] eta: 2:40:07 lr: 4.9673550363228654e-05 loss: 0.2107 (0.2699) loss_seg: 0.2276 (0.2877) loss_lansim: 0.1072 (0.1294) loss_contra: 0.0591 (0.4833) time: 2.5780 data: 0.0026 max mem: 31650 Epoch: [0] [1540/5278] eta: 2:39:42 lr: 4.9671417317029626e-05 loss: 0.2107 (0.2699) loss_seg: 0.2276 (0.2878) loss_lansim: 0.1073 (0.1293) loss_contra: 0.0651 (0.4809) time: 2.5784 data: 0.0026 max mem: 31650 Epoch: [0] [1550/5278] eta: 2:39:16 lr: 4.9669284260652806e-05 loss: 0.2107 (0.2698) loss_seg: 0.2258 (0.2877) loss_lansim: 0.1070 (0.1291) loss_contra: 0.0653 (0.4798) time: 2.5731 data: 0.0026 max mem: 31650 Epoch: [0] [1560/5278] eta: 2:38:50 lr: 4.966715119409766e-05 loss: 0.2066 (0.2695) loss_seg: 0.2220 (0.2874) loss_lansim: 0.1056 (0.1289) loss_contra: 0.0522 (0.4772) time: 2.5690 data: 0.0025 max mem: 31650 Epoch: [0] [1570/5278] eta: 2:38:25 lr: 4.9665018117363654e-05 loss: 0.2107 (0.2697) loss_seg: 0.2276 (0.2876) loss_lansim: 0.1074 (0.1289) loss_contra: 0.0647 (0.4756) time: 2.5696 data: 0.0025 max mem: 31650 Epoch: [0] [1580/5278] eta: 2:38:00 lr: 4.966288503045026e-05 loss: 0.2097 (0.2694) loss_seg: 0.2276 (0.2873) loss_lansim: 0.1072 (0.1288) loss_contra: 0.0458 (0.4737) time: 2.5719 data: 0.0025 max mem: 31650 Epoch: [0] [1590/5278] eta: 2:37:35 lr: 4.966075193335693e-05 loss: 0.2115 (0.2692) loss_seg: 0.2266 (0.2871) loss_lansim: 0.1063 (0.1286) loss_contra: 0.0458 (0.4721) time: 2.5771 data: 0.0025 max mem: 31650 Epoch: [0] [1600/5278] eta: 2:37:09 lr: 4.9658618826083134e-05 loss: 0.2153 (0.2690) loss_seg: 0.2281 (0.2869) loss_lansim: 0.1034 (0.1286) loss_contra: 0.0458 (0.4710) time: 2.5722 data: 0.0025 max mem: 31650 Epoch: [0] [1610/5278] eta: 2:36:42 lr: 4.965648570862835e-05 loss: 0.2095 (0.2685) loss_seg: 0.2266 (0.2864) loss_lansim: 0.1041 (0.1284) loss_contra: 0.0288 (0.4688) time: 2.5699 data: 0.0024 max mem: 31650 Epoch: [0] [1620/5278] eta: 2:36:17 lr: 4.9654352580992034e-05 loss: 0.2095 (0.2683) loss_seg: 0.2274 (0.2862) loss_lansim: 0.1033 (0.1283) loss_contra: 0.0306 (0.4665) time: 2.5643 data: 0.0025 max mem: 31650 Epoch: [0] [1630/5278] eta: 2:35:51 lr: 4.9652219443173646e-05 loss: 0.2163 (0.2682) loss_seg: 0.2290 (0.2860) loss_lansim: 0.1063 (0.1282) loss_contra: 0.0309 (0.4643) time: 2.5633 data: 0.0025 max mem: 31650 Epoch: [0] [1640/5278] eta: 2:35:25 lr: 4.965008629517266e-05 loss: 0.2163 (0.2679) loss_seg: 0.2285 (0.2858) loss_lansim: 0.1068 (0.1281) loss_contra: 0.0353 (0.4616) time: 2.5589 data: 0.0025 max mem: 31650 Epoch: [0] [1650/5278] eta: 2:34:59 lr: 4.964795313698853e-05 loss: 0.2163 (0.2676) loss_seg: 0.2290 (0.2855) loss_lansim: 0.1077 (0.1281) loss_contra: 0.0353 (0.4602) time: 2.5579 data: 0.0025 max mem: 31650 Epoch: [0] [1660/5278] eta: 2:34:33 lr: 4.964581996862075e-05 loss: 0.2180 (0.2675) loss_seg: 0.2302 (0.2854) loss_lansim: 0.1094 (0.1281) loss_contra: 0.0353 (0.4580) time: 2.5580 data: 0.0025 max mem: 31650 Epoch: [0] [1670/5278] eta: 2:34:08 lr: 4.964368679006875e-05 loss: 0.2176 (0.2673) loss_seg: 0.2321 (0.2852) loss_lansim: 0.1082 (0.1280) loss_contra: 0.0349 (0.4562) time: 2.5605 data: 0.0025 max mem: 31650 Epoch: [0] [1680/5278] eta: 2:33:42 lr: 4.964155360133201e-05 loss: 0.2176 (0.2671) loss_seg: 0.2357 (0.2850) loss_lansim: 0.1077 (0.1279) loss_contra: 0.0364 (0.4544) time: 2.5592 data: 0.0025 max mem: 31650 Epoch: [0] [1690/5278] eta: 2:33:16 lr: 4.963942040240999e-05 loss: 0.2180 (0.2669) loss_seg: 0.2363 (0.2848) loss_lansim: 0.1082 (0.1278) loss_contra: 0.0288 (0.4520) time: 2.5522 data: 0.0025 max mem: 31650 Epoch: [0] [1700/5278] eta: 2:32:51 lr: 4.9637287193302166e-05 loss: 0.2213 (0.2672) loss_seg: 0.2402 (0.2852) loss_lansim: 0.1082 (0.1277) loss_contra: 0.0353 (0.4505) time: 2.5601 data: 0.0025 max mem: 31650 Epoch: [0] [1710/5278] eta: 2:32:26 lr: 4.9635153974008004e-05 loss: 0.2328 (0.2671) loss_seg: 0.2517 (0.2851) loss_lansim: 0.1082 (0.1276) loss_contra: 0.0353 (0.4487) time: 2.5614 data: 0.0025 max mem: 31650 Epoch: [0] [1720/5278] eta: 2:32:01 lr: 4.963302074452696e-05 loss: 0.2312 (0.2668) loss_seg: 0.2475 (0.2848) loss_lansim: 0.1082 (0.1274) loss_contra: 0.0351 (0.4464) time: 2.5641 data: 0.0025 max mem: 31650 Epoch: [0] [1730/5278] eta: 2:31:35 lr: 4.963088750485849e-05 loss: 0.2227 (0.2665) loss_seg: 0.2470 (0.2846) loss_lansim: 0.1077 (0.1274) loss_contra: 0.0288 (0.4440) time: 2.5663 data: 0.0025 max mem: 31650 Epoch: [0] [1740/5278] eta: 2:31:09 lr: 4.9628754255002077e-05 loss: 0.2292 (0.2665) loss_seg: 0.2489 (0.2845) loss_lansim: 0.1062 (0.1272) loss_contra: 0.0258 (0.4423) time: 2.5650 data: 0.0025 max mem: 31650 Epoch: [0] [1750/5278] eta: 2:30:44 lr: 4.962662099495718e-05 loss: 0.2290 (0.2664) loss_seg: 0.2475 (0.2845) loss_lansim: 0.1048 (0.1271) loss_contra: 0.0258 (0.4404) time: 2.5702 data: 0.0025 max mem: 31650 Epoch: [0] [1760/5278] eta: 2:30:19 lr: 4.962448772472326e-05 loss: 0.2227 (0.2663) loss_seg: 0.2460 (0.2844) loss_lansim: 0.1039 (0.1270) loss_contra: 0.0290 (0.4396) time: 2.5732 data: 0.0025 max mem: 31650 Epoch: [0] [1770/5278] eta: 2:29:54 lr: 4.962235444429977e-05 loss: 0.2277 (0.2661) loss_seg: 0.2470 (0.2842) loss_lansim: 0.1027 (0.1268) loss_contra: 0.0290 (0.4380) time: 2.5761 data: 0.0025 max mem: 31650 Epoch: [0] [1780/5278] eta: 2:29:28 lr: 4.96202211536862e-05 loss: 0.2227 (0.2660) loss_seg: 0.2382 (0.2841) loss_lansim: 0.1027 (0.1267) loss_contra: 0.0290 (0.4366) time: 2.5743 data: 0.0025 max mem: 31650 Epoch: [0] [1790/5278] eta: 2:29:03 lr: 4.961808785288201e-05 loss: 0.2186 (0.2658) loss_seg: 0.2312 (0.2839) loss_lansim: 0.1013 (0.1266) loss_contra: 0.0396 (0.4350) time: 2.5770 data: 0.0025 max mem: 31650 Epoch: [0] [1800/5278] eta: 2:28:38 lr: 4.961595454188665e-05 loss: 0.2116 (0.2656) loss_seg: 0.2296 (0.2836) loss_lansim: 0.1013 (0.1265) loss_contra: 0.0287 (0.4331) time: 2.5774 data: 0.0025 max mem: 31650 Epoch: [0] [1810/5278] eta: 2:28:12 lr: 4.961382122069959e-05 loss: 0.2074 (0.2652) loss_seg: 0.2239 (0.2832) loss_lansim: 0.1031 (0.1265) loss_contra: 0.0309 (0.4320) time: 2.5748 data: 0.0025 max mem: 31650 Epoch: [0] [1820/5278] eta: 2:27:44 lr: 4.9611687889320304e-05 loss: 0.2076 (0.2651) loss_seg: 0.2265 (0.2831) loss_lansim: 0.1039 (0.1264) loss_contra: 0.0396 (0.4308) time: 2.5646 data: 0.0025 max mem: 31650 Epoch: [0] [1830/5278] eta: 2:27:18 lr: 4.960955454774824e-05 loss: 0.2076 (0.2649) loss_seg: 0.2212 (0.2829) loss_lansim: 0.1039 (0.1263) loss_contra: 0.0480 (0.4293) time: 2.5610 data: 0.0024 max mem: 31650 Epoch: [0] [1840/5278] eta: 2:26:52 lr: 4.960742119598287e-05 loss: 0.2074 (0.2647) loss_seg: 0.2210 (0.2828) loss_lansim: 0.1039 (0.1261) loss_contra: 0.0404 (0.4273) time: 2.5576 data: 0.0025 max mem: 31650 Epoch: [0] [1850/5278] eta: 2:26:26 lr: 4.960528783402367e-05 loss: 0.2112 (0.2646) loss_seg: 0.2234 (0.2826) loss_lansim: 0.1035 (0.1260) loss_contra: 0.0404 (0.4263) time: 2.5563 data: 0.0025 max mem: 31650 Epoch: [0] [1860/5278] eta: 2:26:00 lr: 4.9603154461870085e-05 loss: 0.2112 (0.2642) loss_seg: 0.2267 (0.2823) loss_lansim: 0.1035 (0.1259) loss_contra: 0.0373 (0.4245) time: 2.5501 data: 0.0025 max mem: 31650 Epoch: [0] [1870/5278] eta: 2:25:33 lr: 4.960102107952159e-05 loss: 0.2116 (0.2640) loss_seg: 0.2283 (0.2820) loss_lansim: 0.1051 (0.1258) loss_contra: 0.0373 (0.4233) time: 2.5406 data: 0.0025 max mem: 31650 Epoch: [0] [1880/5278] eta: 2:25:08 lr: 4.9598887686977644e-05 loss: 0.2035 (0.2636) loss_seg: 0.2212 (0.2816) loss_lansim: 0.1040 (0.1257) loss_contra: 0.0309 (0.4218) time: 2.5412 data: 0.0025 max mem: 31650 Epoch: [0] [1890/5278] eta: 2:24:42 lr: 4.959675428423771e-05 loss: 0.2157 (0.2636) loss_seg: 0.2334 (0.2816) loss_lansim: 0.1035 (0.1255) loss_contra: 0.0287 (0.4202) time: 2.5427 data: 0.0025 max mem: 31650 Epoch: [0] [1900/5278] eta: 2:24:16 lr: 4.959462087130126e-05 loss: 0.2120 (0.2632) loss_seg: 0.2292 (0.2812) loss_lansim: 0.1018 (0.1254) loss_contra: 0.0373 (0.4185) time: 2.5339 data: 0.0025 max mem: 31650 Epoch: [0] [1910/5278] eta: 2:23:50 lr: 4.959248744816775e-05 loss: 0.2162 (0.2633) loss_seg: 0.2361 (0.2814) loss_lansim: 0.0996 (0.1252) loss_contra: 0.0359 (0.4170) time: 2.5350 data: 0.0025 max mem: 31650 Epoch: [0] [1920/5278] eta: 2:23:25 lr: 4.959035401483665e-05 loss: 0.2157 (0.2630) loss_seg: 0.2325 (0.2811) loss_lansim: 0.1003 (0.1251) loss_contra: 0.0380 (0.4171) time: 2.5438 data: 0.0026 max mem: 31650 Epoch: [0] [1930/5278] eta: 2:22:59 lr: 4.958822057130742e-05 loss: 0.2162 (0.2628) loss_seg: 0.2325 (0.2809) loss_lansim: 0.1009 (0.1251) loss_contra: 0.0373 (0.4155) time: 2.5464 data: 0.0026 max mem: 31650 Epoch: [0] [1940/5278] eta: 2:22:35 lr: 4.9586087117579524e-05 loss: 0.2162 (0.2626) loss_seg: 0.2308 (0.2807) loss_lansim: 0.1009 (0.1250) loss_contra: 0.0506 (0.4137) time: 2.5615 data: 0.0026 max mem: 31650 Epoch: [0] [1950/5278] eta: 2:22:10 lr: 4.958395365365243e-05 loss: 0.2151 (0.2624) loss_seg: 0.2292 (0.2804) loss_lansim: 0.1017 (0.1249) loss_contra: 0.0506 (0.4122) time: 2.5627 data: 0.0026 max mem: 31650 Epoch: [0] [1960/5278] eta: 2:21:45 lr: 4.958182017952559e-05 loss: 0.2200 (0.2623) loss_seg: 0.2358 (0.2803) loss_lansim: 0.1001 (0.1248) loss_contra: 0.0504 (0.4107) time: 2.5693 data: 0.0026 max mem: 31654 Epoch: [0] [1970/5278] eta: 2:21:18 lr: 4.957968669519848e-05 loss: 0.2162 (0.2620) loss_seg: 0.2308 (0.2800) loss_lansim: 0.1001 (0.1247) loss_contra: 0.0359 (0.4089) time: 2.5700 data: 0.0026 max mem: 31654 Epoch: [0] [1980/5278] eta: 2:20:53 lr: 4.957755320067056e-05 loss: 0.2231 (0.2619) loss_seg: 0.2384 (0.2800) loss_lansim: 0.1003 (0.1246) loss_contra: 0.0441 (0.4077) time: 2.5699 data: 0.0026 max mem: 31654 Epoch: [0] [1990/5278] eta: 2:20:27 lr: 4.957541969594129e-05 loss: 0.2162 (0.2617) loss_seg: 0.2307 (0.2797) loss_lansim: 0.1046 (0.1245) loss_contra: 0.0484 (0.4069) time: 2.5658 data: 0.0026 max mem: 31654 Epoch: [0] [2000/5278] eta: 2:20:02 lr: 4.957328618101014e-05 loss: 0.2240 (0.2615) loss_seg: 0.2384 (0.2795) loss_lansim: 0.1055 (0.1244) loss_contra: 0.0441 (0.4053) time: 2.5758 data: 0.0025 max mem: 31654 Epoch: [0] [2010/5278] eta: 2:19:36 lr: 4.9571152655876564e-05 loss: 0.2231 (0.2612) loss_seg: 0.2377 (0.2792) loss_lansim: 0.1035 (0.1242) loss_contra: 0.0350 (0.4035) time: 2.5780 data: 0.0025 max mem: 31654 Epoch: [0] [2020/5278] eta: 2:19:10 lr: 4.956901912054003e-05 loss: 0.2231 (0.2610) loss_seg: 0.2384 (0.2791) loss_lansim: 0.1017 (0.1241) loss_contra: 0.0289 (0.4019) time: 2.5762 data: 0.0026 max mem: 31654 Epoch: [0] [2030/5278] eta: 2:18:44 lr: 4.9566885575e-05 loss: 0.2124 (0.2607) loss_seg: 0.2345 (0.2788) loss_lansim: 0.1003 (0.1240) loss_contra: 0.0293 (0.4004) time: 2.5720 data: 0.0025 max mem: 31654 Epoch: [0] [2040/5278] eta: 2:18:18 lr: 4.956475201925595e-05 loss: 0.2157 (0.2607) loss_seg: 0.2357 (0.2788) loss_lansim: 0.0979 (0.1238) loss_contra: 0.0293 (0.3989) time: 2.5596 data: 0.0025 max mem: 31654 Epoch: [0] [2050/5278] eta: 2:17:50 lr: 4.956261845330732e-05 loss: 0.2124 (0.2606) loss_seg: 0.2309 (0.2786) loss_lansim: 0.0979 (0.1238) loss_contra: 0.0329 (0.3977) time: 2.5443 data: 0.0025 max mem: 31654 Epoch: [0] [2060/5278] eta: 2:17:26 lr: 4.95604848771536e-05 loss: 0.2108 (0.2602) loss_seg: 0.2242 (0.2783) loss_lansim: 0.1000 (0.1236) loss_contra: 0.0309 (0.3966) time: 2.5468 data: 0.0025 max mem: 31654 Epoch: [0] [2070/5278] eta: 2:16:59 lr: 4.9558351290794226e-05 loss: 0.2114 (0.2604) loss_seg: 0.2270 (0.2784) loss_lansim: 0.0971 (0.1235) loss_contra: 0.0509 (0.3962) time: 2.5462 data: 0.0025 max mem: 31654 Epoch: [0] [2080/5278] eta: 2:16:33 lr: 4.9556217694228676e-05 loss: 0.2119 (0.2603) loss_seg: 0.2294 (0.2783) loss_lansim: 0.0979 (0.1234) loss_contra: 0.0509 (0.3952) time: 2.5390 data: 0.0025 max mem: 31654 Epoch: [0] [2090/5278] eta: 2:17:42 lr: 4.955408408745641e-05 loss: 0.2114 (0.2601) loss_seg: 0.2294 (0.2781) loss_lansim: 0.0955 (0.1233) loss_contra: 0.0440 (0.3936) time: 3.1656 data: 0.0025 max mem: 31654 Epoch: [0] [2100/5278] eta: 2:17:15 lr: 4.9551950470476894e-05 loss: 0.2108 (0.2600) loss_seg: 0.2287 (0.2780) loss_lansim: 0.0971 (0.1232) loss_contra: 0.0469 (0.3921) time: 3.1580 data: 0.0025 max mem: 31654 Epoch: [0] [2110/5278] eta: 2:16:48 lr: 4.954981684328958e-05 loss: 0.2096 (0.2597) loss_seg: 0.2270 (0.2777) loss_lansim: 0.0980 (0.1232) loss_contra: 0.0494 (0.3907) time: 3.1529 data: 0.0025 max mem: 31654 Epoch: [0] [2120/5278] eta: 2:16:23 lr: 4.954768320589394e-05 loss: 0.2069 (0.2594) loss_seg: 0.2242 (0.2774) loss_lansim: 0.1000 (0.1231) loss_contra: 0.0490 (0.3891) time: 3.1631 data: 0.0025 max mem: 31654 Epoch: [0] [2130/5278] eta: 2:15:57 lr: 4.954554955828945e-05 loss: 0.2096 (0.2592) loss_seg: 0.2242 (0.2771) loss_lansim: 0.1016 (0.1231) loss_contra: 0.0494 (0.3879) time: 3.1695 data: 0.0025 max mem: 31654 Epoch: [0] [2140/5278] eta: 2:15:32 lr: 4.954341590047554e-05 loss: 0.2051 (0.2589) loss_seg: 0.2217 (0.2769) loss_lansim: 0.1047 (0.1230) loss_contra: 0.0478 (0.3862) time: 3.1751 data: 0.0025 max mem: 31654 Epoch: [0] [2150/5278] eta: 2:15:04 lr: 4.95412822324517e-05 loss: 0.2071 (0.2588) loss_seg: 0.2218 (0.2768) loss_lansim: 0.1076 (0.1230) loss_contra: 0.0469 (0.3854) time: 3.1814 data: 0.0025 max mem: 31654 Epoch: [0] [2160/5278] eta: 2:14:38 lr: 4.9539148554217384e-05 loss: 0.2071 (0.2587) loss_seg: 0.2277 (0.2766) loss_lansim: 0.1079 (0.1229) loss_contra: 0.0440 (0.3842) time: 3.1762 data: 0.0025 max mem: 31654 Epoch: [0] [2170/5278] eta: 2:14:12 lr: 4.9537014865772056e-05 loss: 0.2064 (0.2584) loss_seg: 0.2243 (0.2763) loss_lansim: 0.1092 (0.1229) loss_contra: 0.0228 (0.3826) time: 3.1849 data: 0.0025 max mem: 31654 Epoch: [0] [2180/5278] eta: 2:13:45 lr: 4.953488116711516e-05 loss: 0.2039 (0.2584) loss_seg: 0.2217 (0.2764) loss_lansim: 0.1108 (0.1229) loss_contra: 0.0170 (0.3811) time: 3.1886 data: 0.0025 max mem: 31654 Epoch: [0] [2190/5278] eta: 2:13:19 lr: 4.953274745824619e-05 loss: 0.2039 (0.2582) loss_seg: 0.2216 (0.2761) loss_lansim: 0.1118 (0.1228) loss_contra: 0.0180 (0.3798) time: 2.5654 data: 0.0025 max mem: 31654 Epoch: [0] [2200/5278] eta: 2:12:53 lr: 4.953061373916459e-05 loss: 0.2035 (0.2579) loss_seg: 0.2216 (0.2759) loss_lansim: 0.1134 (0.1228) loss_contra: 0.0170 (0.3784) time: 2.5706 data: 0.0025 max mem: 31654 Epoch: [0] [2210/5278] eta: 2:12:27 lr: 4.952848000986983e-05 loss: 0.2039 (0.2579) loss_seg: 0.2214 (0.2758) loss_lansim: 0.1118 (0.1229) loss_contra: 0.0170 (0.3772) time: 2.5741 data: 0.0025 max mem: 31654 Epoch: [0] [2220/5278] eta: 2:12:01 lr: 4.9526346270361356e-05 loss: 0.2064 (0.2576) loss_seg: 0.2214 (0.2756) loss_lansim: 0.1111 (0.1227) loss_contra: 0.0147 (0.3756) time: 2.5694 data: 0.0025 max mem: 31654 Epoch: [0] [2230/5278] eta: 2:11:35 lr: 4.952421252063864e-05 loss: 0.2067 (0.2579) loss_seg: 0.2243 (0.2759) loss_lansim: 0.1107 (0.1226) loss_contra: 0.0168 (0.3743) time: 2.5701 data: 0.0025 max mem: 31654 Epoch: [0] [2240/5278] eta: 2:11:09 lr: 4.952207876070116e-05 loss: 0.2039 (0.2577) loss_seg: 0.2214 (0.2757) loss_lansim: 0.1105 (0.1225) loss_contra: 0.0176 (0.3735) time: 2.5663 data: 0.0025 max mem: 31654 Epoch: [0] [2250/5278] eta: 2:10:43 lr: 4.9519944990548356e-05 loss: 0.2039 (0.2575) loss_seg: 0.2161 (0.2755) loss_lansim: 0.1079 (0.1225) loss_contra: 0.0175 (0.3721) time: 2.5745 data: 0.0024 max mem: 31654 Epoch: [0] [2260/5278] eta: 2:10:17 lr: 4.951781121017969e-05 loss: 0.2067 (0.2577) loss_seg: 0.2243 (0.2758) loss_lansim: 0.1085 (0.1225) loss_contra: 0.0198 (0.3710) time: 2.5767 data: 0.0024 max mem: 31654 Epoch: [0] [2270/5278] eta: 2:09:51 lr: 4.9515677419594645e-05 loss: 0.2138 (0.2576) loss_seg: 0.2217 (0.2756) loss_lansim: 0.1107 (0.1224) loss_contra: 0.0282 (0.3706) time: 2.5729 data: 0.0024 max mem: 31654 Epoch: [0] [2280/5278] eta: 2:09:24 lr: 4.951354361879266e-05 loss: 0.2149 (0.2576) loss_seg: 0.2217 (0.2756) loss_lansim: 0.1105 (0.1224) loss_contra: 0.0313 (0.3701) time: 2.5724 data: 0.0024 max mem: 31654 Epoch: [0] [2290/5278] eta: 2:08:58 lr: 4.9511409807773214e-05 loss: 0.2138 (0.2574) loss_seg: 0.2251 (0.2754) loss_lansim: 0.1072 (0.1223) loss_contra: 0.0316 (0.3689) time: 2.5731 data: 0.0024 max mem: 31654 Epoch: [0] [2300/5278] eta: 2:08:31 lr: 4.950927598653576e-05 loss: 0.2110 (0.2571) loss_seg: 0.2161 (0.2751) loss_lansim: 0.1072 (0.1223) loss_contra: 0.0406 (0.3679) time: 2.5670 data: 0.0025 max mem: 31654 Epoch: [0] [2310/5278] eta: 2:08:06 lr: 4.950714215507975e-05 loss: 0.2099 (0.2568) loss_seg: 0.2179 (0.2748) loss_lansim: 0.1059 (0.1222) loss_contra: 0.0417 (0.3672) time: 2.5724 data: 0.0025 max mem: 31654 Epoch: [0] [2320/5278] eta: 2:07:40 lr: 4.9505008313404674e-05 loss: 0.2149 (0.2569) loss_seg: 0.2260 (0.2749) loss_lansim: 0.1061 (0.1222) loss_contra: 0.0450 (0.3660) time: 2.5700 data: 0.0025 max mem: 31654 Epoch: [0] [2330/5278] eta: 2:07:14 lr: 4.9502874461509966e-05 loss: 0.2152 (0.2567) loss_seg: 0.2286 (0.2747) loss_lansim: 0.1072 (0.1221) loss_contra: 0.0426 (0.3648) time: 2.5700 data: 0.0025 max mem: 31654 Epoch: [0] [2340/5278] eta: 2:06:48 lr: 4.95007405993951e-05 loss: 0.2186 (0.2567) loss_seg: 0.2325 (0.2747) loss_lansim: 0.1087 (0.1221) loss_contra: 0.0452 (0.3636) time: 2.5736 data: 0.0024 max mem: 31654 Epoch: [0] [2350/5278] eta: 2:06:22 lr: 4.949860672705953e-05 loss: 0.2190 (0.2566) loss_seg: 0.2391 (0.2746) loss_lansim: 0.1087 (0.1221) loss_contra: 0.0467 (0.3624) time: 2.5748 data: 0.0025 max mem: 31654 Epoch: [0] [2360/5278] eta: 2:05:56 lr: 4.949647284450273e-05 loss: 0.2152 (0.2565) loss_seg: 0.2306 (0.2745) loss_lansim: 0.1070 (0.1220) loss_contra: 0.0426 (0.3613) time: 2.5722 data: 0.0025 max mem: 31654 Epoch: [0] [2370/5278] eta: 2:05:29 lr: 4.9494338951724155e-05 loss: 0.2127 (0.2562) loss_seg: 0.2306 (0.2742) loss_lansim: 0.1068 (0.1220) loss_contra: 0.0360 (0.3600) time: 2.5667 data: 0.0025 max mem: 31654 Epoch: [0] [2380/5278] eta: 2:05:03 lr: 4.949220504872326e-05 loss: 0.2186 (0.2560) loss_seg: 0.2325 (0.2740) loss_lansim: 0.1068 (0.1220) loss_contra: 0.0234 (0.3586) time: 2.5725 data: 0.0025 max mem: 31654 Epoch: [0] [2390/5278] eta: 2:04:37 lr: 4.949007113549952e-05 loss: 0.2188 (0.2559) loss_seg: 0.2403 (0.2739) loss_lansim: 0.1058 (0.1219) loss_contra: 0.0234 (0.3574) time: 2.5718 data: 0.0025 max mem: 31654 Epoch: [0] [2400/5278] eta: 2:04:10 lr: 4.948793721205238e-05 loss: 0.2199 (0.2558) loss_seg: 0.2437 (0.2738) loss_lansim: 0.1059 (0.1219) loss_contra: 0.0197 (0.3561) time: 2.5733 data: 0.0025 max mem: 31654 Epoch: [0] [2410/5278] eta: 2:03:44 lr: 4.9485803278381316e-05 loss: 0.2205 (0.2557) loss_seg: 0.2441 (0.2737) loss_lansim: 0.1059 (0.1219) loss_contra: 0.0168 (0.3553) time: 2.5678 data: 0.0025 max mem: 31654 Epoch: [0] [2420/5278] eta: 2:03:18 lr: 4.948366933448578e-05 loss: 0.2216 (0.2557) loss_seg: 0.2447 (0.2737) loss_lansim: 0.1078 (0.1219) loss_contra: 0.0178 (0.3544) time: 2.5670 data: 0.0025 max mem: 31654 Epoch: [0] [2430/5278] eta: 2:02:52 lr: 4.948153538036523e-05 loss: 0.2205 (0.2555) loss_seg: 0.2441 (0.2736) loss_lansim: 0.1112 (0.1222) loss_contra: 0.0223 (0.3536) time: 2.5660 data: 0.0025 max mem: 31654 Epoch: [0] [2440/5278] eta: 2:02:25 lr: 4.9479401416019136e-05 loss: 0.2205 (0.2556) loss_seg: 0.2441 (0.2737) loss_lansim: 0.1152 (0.1222) loss_contra: 0.0230 (0.3531) time: 2.5574 data: 0.0025 max mem: 31654 Epoch: [0] [2450/5278] eta: 2:01:59 lr: 4.947726744144696e-05 loss: 0.2216 (0.2555) loss_seg: 0.2447 (0.2735) loss_lansim: 0.1161 (0.1223) loss_contra: 0.0230 (0.3525) time: 2.5592 data: 0.0025 max mem: 31654 Epoch: [0] [2460/5278] eta: 2:01:33 lr: 4.947513345664816e-05 loss: 0.2218 (0.2554) loss_seg: 0.2460 (0.2735) loss_lansim: 0.1244 (0.1224) loss_contra: 0.0234 (0.3515) time: 2.5554 data: 0.0025 max mem: 31654 Epoch: [0] [2470/5278] eta: 2:01:07 lr: 4.9472999461622185e-05 loss: 0.2229 (0.2555) loss_seg: 0.2486 (0.2736) loss_lansim: 0.1258 (0.1224) loss_contra: 0.0248 (0.3510) time: 2.5658 data: 0.0025 max mem: 31654 Epoch: [0] [2480/5278] eta: 2:00:41 lr: 4.9470865456368516e-05 loss: 0.2218 (0.2556) loss_seg: 0.2447 (0.2737) loss_lansim: 0.1286 (0.1224) loss_contra: 0.0273 (0.3502) time: 2.5607 data: 0.0025 max mem: 31654 Epoch: [0] [2490/5278] eta: 2:00:15 lr: 4.94687314408866e-05 loss: 0.2208 (0.2555) loss_seg: 0.2409 (0.2736) loss_lansim: 0.1320 (0.1225) loss_contra: 0.0287 (0.3496) time: 2.5605 data: 0.0025 max mem: 31654 Epoch: [0] [2500/5278] eta: 1:59:49 lr: 4.9466597415175906e-05 loss: 0.2218 (0.2557) loss_seg: 0.2439 (0.2738) loss_lansim: 0.1314 (0.1225) loss_contra: 0.0338 (0.3490) time: 2.5633 data: 0.0024 max mem: 31654 Epoch: [0] [2510/5278] eta: 1:59:23 lr: 4.946446337923589e-05 loss: 0.2208 (0.2554) loss_seg: 0.2389 (0.2735) loss_lansim: 0.1320 (0.1225) loss_contra: 0.0455 (0.3484) time: 2.5659 data: 0.0024 max mem: 31654 Epoch: [0] [2520/5278] eta: 1:58:56 lr: 4.9462329333066e-05 loss: 0.2132 (0.2553) loss_seg: 0.2279 (0.2734) loss_lansim: 0.1293 (0.1225) loss_contra: 0.0540 (0.3477) time: 2.5646 data: 0.0024 max mem: 31654 Epoch: [0] [2530/5278] eta: 1:58:29 lr: 4.946019527666572e-05 loss: 0.2145 (0.2551) loss_seg: 0.2341 (0.2732) loss_lansim: 0.1280 (0.1225) loss_contra: 0.0628 (0.3475) time: 2.5544 data: 0.0025 max mem: 31654 Epoch: [0] [2540/5278] eta: 1:58:03 lr: 4.9458061210034504e-05 loss: 0.2126 (0.2549) loss_seg: 0.2278 (0.2730) loss_lansim: 0.1280 (0.1225) loss_contra: 0.0628 (0.3465) time: 2.5586 data: 0.0024 max mem: 31654 Epoch: [0] [2550/5278] eta: 1:57:37 lr: 4.945592713317181e-05 loss: 0.2126 (0.2549) loss_seg: 0.2278 (0.2730) loss_lansim: 0.1271 (0.1225) loss_contra: 0.0540 (0.3453) time: 2.5517 data: 0.0024 max mem: 31654 Epoch: [0] [2560/5278] eta: 1:57:10 lr: 4.945379304607709e-05 loss: 0.2126 (0.2547) loss_seg: 0.2278 (0.2728) loss_lansim: 0.1195 (0.1224) loss_contra: 0.0448 (0.3441) time: 2.5539 data: 0.0024 max mem: 31654 Epoch: [0] [2570/5278] eta: 1:56:44 lr: 4.9451658948749805e-05 loss: 0.2126 (0.2545) loss_seg: 0.2265 (0.2727) loss_lansim: 0.1191 (0.1224) loss_contra: 0.0358 (0.3434) time: 2.5464 data: 0.0024 max mem: 31654 Epoch: [0] [2580/5278] eta: 1:56:18 lr: 4.944952484118944e-05 loss: 0.2000 (0.2544) loss_seg: 0.2201 (0.2725) loss_lansim: 0.1172 (0.1224) loss_contra: 0.0358 (0.3428) time: 2.5537 data: 0.0024 max mem: 31654 Epoch: [0] [2590/5278] eta: 1:55:51 lr: 4.944739072339543e-05 loss: 0.1990 (0.2541) loss_seg: 0.2167 (0.2723) loss_lansim: 0.1147 (0.1224) loss_contra: 0.0349 (0.3418) time: 2.5439 data: 0.0024 max mem: 31654 Epoch: [0] [2600/5278] eta: 1:55:26 lr: 4.9445256595367226e-05 loss: 0.1898 (0.2539) loss_seg: 0.2088 (0.2721) loss_lansim: 0.1134 (0.1223) loss_contra: 0.0329 (0.3407) time: 2.5476 data: 0.0024 max mem: 31654 Epoch: [0] [2610/5278] eta: 1:54:59 lr: 4.944312245710432e-05 loss: 0.1923 (0.2539) loss_seg: 0.2113 (0.2720) loss_lansim: 0.1138 (0.1223) loss_contra: 0.0312 (0.3399) time: 2.5423 data: 0.0024 max mem: 31654 Epoch: [0] [2620/5278] eta: 1:54:33 lr: 4.944098830860616e-05 loss: 0.1990 (0.2538) loss_seg: 0.2192 (0.2719) loss_lansim: 0.1124 (0.1222) loss_contra: 0.0201 (0.3388) time: 2.5401 data: 0.0024 max mem: 31654 Epoch: [0] [2630/5278] eta: 1:54:07 lr: 4.9438854149872186e-05 loss: 0.2000 (0.2538) loss_seg: 0.2196 (0.2719) loss_lansim: 0.1081 (0.1222) loss_contra: 0.0200 (0.3383) time: 2.5513 data: 0.0024 max mem: 31654 Epoch: [0] [2640/5278] eta: 1:53:41 lr: 4.943671998090188e-05 loss: 0.2034 (0.2536) loss_seg: 0.2229 (0.2718) loss_lansim: 0.1093 (0.1222) loss_contra: 0.0143 (0.3372) time: 2.5576 data: 0.0024 max mem: 31654 Epoch: [0] [2650/5278] eta: 1:53:15 lr: 4.9434585801694704e-05 loss: 0.2064 (0.2535) loss_seg: 0.2250 (0.2716) loss_lansim: 0.1093 (0.1222) loss_contra: 0.0201 (0.3368) time: 2.5599 data: 0.0024 max mem: 31654 Epoch: [0] [2660/5278] eta: 1:52:49 lr: 4.943245161225011e-05 loss: 0.2118 (0.2536) loss_seg: 0.2267 (0.2718) loss_lansim: 0.1116 (0.1223) loss_contra: 0.0273 (0.3367) time: 2.5575 data: 0.0025 max mem: 31654 Epoch: [0] [2670/5278] eta: 1:52:22 lr: 4.943031741256755e-05 loss: 0.2125 (0.2536) loss_seg: 0.2311 (0.2718) loss_lansim: 0.1171 (0.1223) loss_contra: 0.0316 (0.3363) time: 2.5563 data: 0.0025 max mem: 31654 Epoch: [0] [2680/5278] eta: 1:51:56 lr: 4.942818320264649e-05 loss: 0.2150 (0.2534) loss_seg: 0.2311 (0.2715) loss_lansim: 0.1183 (0.1223) loss_contra: 0.0456 (0.3355) time: 2.5522 data: 0.0025 max mem: 31654 Epoch: [0] [2690/5278] eta: 1:51:30 lr: 4.942604898248639e-05 loss: 0.2123 (0.2532) loss_seg: 0.2308 (0.2713) loss_lansim: 0.1154 (0.1223) loss_contra: 0.0459 (0.3350) time: 2.5611 data: 0.0025 max mem: 31654 Epoch: [0] [2700/5278] eta: 1:51:05 lr: 4.942391475208672e-05 loss: 0.2125 (0.2530) loss_seg: 0.2311 (0.2712) loss_lansim: 0.1155 (0.1223) loss_contra: 0.0536 (0.3344) time: 2.5621 data: 0.0025 max mem: 31654 Epoch: [0] [2710/5278] eta: 1:50:38 lr: 4.942178051144693e-05 loss: 0.2082 (0.2528) loss_seg: 0.2306 (0.2710) loss_lansim: 0.1151 (0.1222) loss_contra: 0.0488 (0.3335) time: 2.5634 data: 0.0025 max mem: 31654 Epoch: [0] [2720/5278] eta: 1:50:12 lr: 4.9419646260566474e-05 loss: 0.2112 (0.2528) loss_seg: 0.2311 (0.2709) loss_lansim: 0.1171 (0.1222) loss_contra: 0.0536 (0.3328) time: 2.5642 data: 0.0025 max mem: 31654 Epoch: [0] [2730/5278] eta: 1:49:46 lr: 4.941751199944481e-05 loss: 0.2073 (0.2526) loss_seg: 0.2281 (0.2707) loss_lansim: 0.1181 (0.1222) loss_contra: 0.0578 (0.3325) time: 2.5583 data: 0.0025 max mem: 31654 Epoch: [0] [2740/5278] eta: 1:49:20 lr: 4.941537772808142e-05 loss: 0.2095 (0.2527) loss_seg: 0.2308 (0.2708) loss_lansim: 0.1142 (0.1221) loss_contra: 0.0578 (0.3318) time: 2.5512 data: 0.0025 max mem: 31654 Epoch: [0] [2750/5278] eta: 1:48:53 lr: 4.941324344647574e-05 loss: 0.2082 (0.2525) loss_seg: 0.2306 (0.2707) loss_lansim: 0.1142 (0.1221) loss_contra: 0.0524 (0.3309) time: 2.5453 data: 0.0025 max mem: 31654 Epoch: [0] [2760/5278] eta: 1:48:26 lr: 4.941110915462724e-05 loss: 0.2082 (0.2526) loss_seg: 0.2306 (0.2708) loss_lansim: 0.1131 (0.1222) loss_contra: 0.0373 (0.3297) time: 2.5392 data: 0.0026 max mem: 31654 Epoch: [0] [2770/5278] eta: 1:48:00 lr: 4.940897485253537e-05 loss: 0.2050 (0.2524) loss_seg: 0.2225 (0.2706) loss_lansim: 0.1131 (0.1222) loss_contra: 0.0349 (0.3292) time: 2.5390 data: 0.0026 max mem: 31654 Epoch: [0] [2780/5278] eta: 1:47:34 lr: 4.94068405401996e-05 loss: 0.2084 (0.2526) loss_seg: 0.2306 (0.2707) loss_lansim: 0.1131 (0.1222) loss_contra: 0.0291 (0.3285) time: 2.5374 data: 0.0026 max mem: 31654 Epoch: [0] [2790/5278] eta: 1:47:08 lr: 4.940470621761939e-05 loss: 0.2113 (0.2525) loss_seg: 0.2338 (0.2706) loss_lansim: 0.1152 (0.1223) loss_contra: 0.0291 (0.3275) time: 2.5396 data: 0.0027 max mem: 31654 Epoch: [0] [2800/5278] eta: 1:46:41 lr: 4.940257188479419e-05 loss: 0.2095 (0.2522) loss_seg: 0.2316 (0.2703) loss_lansim: 0.1181 (0.1224) loss_contra: 0.0250 (0.3267) time: 2.5261 data: 0.0027 max mem: 31654 Epoch: [0] [2810/5278] eta: 1:46:15 lr: 4.940043754172346e-05 loss: 0.2127 (0.2522) loss_seg: 0.2338 (0.2704) loss_lansim: 0.1218 (0.1224) loss_contra: 0.0250 (0.3267) time: 2.5305 data: 0.0026 max mem: 31654 Epoch: [0] [2820/5278] eta: 1:45:49 lr: 4.939830318840666e-05 loss: 0.2142 (0.2522) loss_seg: 0.2329 (0.2703) loss_lansim: 0.1243 (0.1225) loss_contra: 0.0250 (0.3261) time: 2.5304 data: 0.0026 max mem: 31654 Epoch: [0] [2830/5278] eta: 1:45:23 lr: 4.9396168824843265e-05 loss: 0.2192 (0.2523) loss_seg: 0.2364 (0.2704) loss_lansim: 0.1309 (0.1225) loss_contra: 0.0200 (0.3255) time: 2.5331 data: 0.0026 max mem: 31654 Epoch: [0] [2840/5278] eta: 1:44:56 lr: 4.9394034451032706e-05 loss: 0.2165 (0.2522) loss_seg: 0.2355 (0.2703) loss_lansim: 0.1381 (0.1226) loss_contra: 0.0173 (0.3245) time: 2.5254 data: 0.0026 max mem: 31654 Epoch: [0] [2850/5278] eta: 1:44:29 lr: 4.939190006697446e-05 loss: 0.2225 (0.2521) loss_seg: 0.2358 (0.2702) loss_lansim: 0.1362 (0.1226) loss_contra: 0.0199 (0.3237) time: 2.5239 data: 0.0025 max mem: 31654 Epoch: [0] [2860/5278] eta: 1:44:03 lr: 4.938976567266797e-05 loss: 0.2158 (0.2519) loss_seg: 0.2355 (0.2700) loss_lansim: 0.1374 (0.1226) loss_contra: 0.0173 (0.3226) time: 2.5336 data: 0.0025 max mem: 31654 Epoch: [0] [2870/5278] eta: 1:43:37 lr: 4.938763126811273e-05 loss: 0.2148 (0.2517) loss_seg: 0.2335 (0.2698) loss_lansim: 0.1374 (0.1226) loss_contra: 0.0200 (0.3219) time: 2.5340 data: 0.0025 max mem: 31654 Epoch: [0] [2880/5278] eta: 1:43:11 lr: 4.938549685330816e-05 loss: 0.2123 (0.2516) loss_seg: 0.2321 (0.2696) loss_lansim: 0.1369 (0.1227) loss_contra: 0.0199 (0.3215) time: 2.5292 data: 0.0025 max mem: 31654 Epoch: [0] [2890/5278] eta: 1:42:44 lr: 4.9383362428253734e-05 loss: 0.2156 (0.2516) loss_seg: 0.2335 (0.2697) loss_lansim: 0.1338 (0.1228) loss_contra: 0.0232 (0.3207) time: 2.5189 data: 0.0025 max mem: 31654 Epoch: [0] [2900/5278] eta: 1:42:18 lr: 4.938122799294891e-05 loss: 0.2156 (0.2515) loss_seg: 0.2335 (0.2695) loss_lansim: 0.1369 (0.1228) loss_contra: 0.0289 (0.3202) time: 2.5234 data: 0.0025 max mem: 31654 Epoch: [0] [2910/5278] eta: 1:41:52 lr: 4.937909354739315e-05 loss: 0.2142 (0.2513) loss_seg: 0.2253 (0.2694) loss_lansim: 0.1338 (0.1228) loss_contra: 0.0279 (0.3196) time: 2.5198 data: 0.0025 max mem: 31654 Epoch: [0] [2920/5278] eta: 1:41:26 lr: 4.93769590915859e-05 loss: 0.2122 (0.2511) loss_seg: 0.2250 (0.2691) loss_lansim: 0.1323 (0.1229) loss_contra: 0.0305 (0.3191) time: 2.5280 data: 0.0024 max mem: 31654 Epoch: [0] [2930/5278] eta: 1:41:01 lr: 4.9374824625526634e-05 loss: 0.2024 (0.2510) loss_seg: 0.2202 (0.2691) loss_lansim: 0.1286 (0.1228) loss_contra: 0.0316 (0.3184) time: 2.5346 data: 0.0025 max mem: 31654 Epoch: [0] [2940/5278] eta: 1:40:34 lr: 4.9372690149214796e-05 loss: 0.2024 (0.2511) loss_seg: 0.2184 (0.2691) loss_lansim: 0.1303 (0.1229) loss_contra: 0.0329 (0.3180) time: 2.5410 data: 0.0025 max mem: 31654 Epoch: [0] [2950/5278] eta: 1:40:09 lr: 4.937055566264986e-05 loss: 0.1955 (0.2509) loss_seg: 0.2142 (0.2689) loss_lansim: 0.1347 (0.1230) loss_contra: 0.0316 (0.3173) time: 2.5549 data: 0.0025 max mem: 31654 Epoch: [0] [2960/5278] eta: 1:39:43 lr: 4.9368421165831274e-05 loss: 0.1951 (0.2507) loss_seg: 0.2122 (0.2687) loss_lansim: 0.1348 (0.1231) loss_contra: 0.0316 (0.3163) time: 2.5514 data: 0.0025 max mem: 31654 Epoch: [0] [2970/5278] eta: 1:39:17 lr: 4.93662866587585e-05 loss: 0.1965 (0.2505) loss_seg: 0.2181 (0.2685) loss_lansim: 0.1354 (0.1231) loss_contra: 0.0303 (0.3159) time: 2.5537 data: 0.0025 max mem: 31654 Epoch: [0] [2980/5278] eta: 1:38:50 lr: 4.936415214143099e-05 loss: 0.2069 (0.2505) loss_seg: 0.2202 (0.2685) loss_lansim: 0.1354 (0.1232) loss_contra: 0.0305 (0.3152) time: 2.5566 data: 0.0025 max mem: 31654 Epoch: [0] [2990/5278] eta: 1:38:24 lr: 4.93620176138482e-05 loss: 0.1976 (0.2504) loss_seg: 0.2142 (0.2684) loss_lansim: 0.1348 (0.1232) loss_contra: 0.0303 (0.3147) time: 2.5628 data: 0.0025 max mem: 31654 Epoch: [0] [3000/5278] eta: 1:37:59 lr: 4.935988307600961e-05 loss: 0.2012 (0.2502) loss_seg: 0.2193 (0.2682) loss_lansim: 0.1354 (0.1233) loss_contra: 0.0254 (0.3142) time: 2.5716 data: 0.0025 max mem: 31654 Epoch: [0] [3010/5278] eta: 1:37:33 lr: 4.935774852791465e-05 loss: 0.2008 (0.2502) loss_seg: 0.2193 (0.2683) loss_lansim: 0.1355 (0.1234) loss_contra: 0.0254 (0.3134) time: 2.5706 data: 0.0025 max mem: 31654 Epoch: [0] [3020/5278] eta: 1:37:07 lr: 4.935561396956279e-05 loss: 0.2008 (0.2501) loss_seg: 0.2193 (0.2681) loss_lansim: 0.1380 (0.1235) loss_contra: 0.0303 (0.3131) time: 2.5670 data: 0.0025 max mem: 31654 Epoch: [0] [3030/5278] eta: 1:36:40 lr: 4.935347940095349e-05 loss: 0.2069 (0.2501) loss_seg: 0.2210 (0.2681) loss_lansim: 0.1422 (0.1236) loss_contra: 0.0303 (0.3122) time: 2.5533 data: 0.0025 max mem: 31654 Epoch: [0] [3040/5278] eta: 1:36:14 lr: 4.935134482208621e-05 loss: 0.2015 (0.2500) loss_seg: 0.2205 (0.2680) loss_lansim: 0.1422 (0.1237) loss_contra: 0.0314 (0.3116) time: 2.5536 data: 0.0025 max mem: 31654 Epoch: [0] [3050/5278] eta: 1:35:49 lr: 4.93492102329604e-05 loss: 0.2082 (0.2499) loss_seg: 0.2226 (0.2679) loss_lansim: 0.1388 (0.1237) loss_contra: 0.0317 (0.3108) time: 2.5505 data: 0.0025 max mem: 31654 Epoch: [0] [3060/5278] eta: 1:35:22 lr: 4.9347075633575514e-05 loss: 0.2082 (0.2498) loss_seg: 0.2210 (0.2678) loss_lansim: 0.1341 (0.1237) loss_contra: 0.0372 (0.3102) time: 2.5470 data: 0.0025 max mem: 31654 Epoch: [0] [3070/5278] eta: 1:34:56 lr: 4.934494102393103e-05 loss: 0.2082 (0.2497) loss_seg: 0.2210 (0.2677) loss_lansim: 0.1338 (0.1237) loss_contra: 0.0317 (0.3093) time: 2.5414 data: 0.0025 max mem: 31654 Epoch: [0] [3080/5278] eta: 1:34:29 lr: 4.934280640402638e-05 loss: 0.2008 (0.2497) loss_seg: 0.2193 (0.2677) loss_lansim: 0.1338 (0.1238) loss_contra: 0.0327 (0.3088) time: 2.5388 data: 0.0025 max mem: 31654 Epoch: [0] [3090/5278] eta: 1:34:03 lr: 4.934067177386104e-05 loss: 0.2015 (0.2496) loss_seg: 0.2209 (0.2676) loss_lansim: 0.1342 (0.1238) loss_contra: 0.0280 (0.3079) time: 2.5400 data: 0.0025 max mem: 31654 Epoch: [0] [3100/5278] eta: 1:33:37 lr: 4.933853713343445e-05 loss: 0.2066 (0.2496) loss_seg: 0.2210 (0.2676) loss_lansim: 0.1306 (0.1238) loss_contra: 0.0258 (0.3071) time: 2.5284 data: 0.0025 max mem: 31654 Epoch: [0] [3110/5278] eta: 1:33:10 lr: 4.933640248274609e-05 loss: 0.2066 (0.2495) loss_seg: 0.2209 (0.2674) loss_lansim: 0.1306 (0.1238) loss_contra: 0.0300 (0.3068) time: 2.5192 data: 0.0025 max mem: 31654 Epoch: [0] [3120/5278] eta: 1:32:44 lr: 4.933426782179541e-05 loss: 0.2077 (0.2493) loss_seg: 0.2209 (0.2673) loss_lansim: 0.1291 (0.1238) loss_contra: 0.0243 (0.3063) time: 2.5131 data: 0.0025 max mem: 31654 Epoch: [0] [3130/5278] eta: 1:32:18 lr: 4.933213315058186e-05 loss: 0.1987 (0.2493) loss_seg: 0.2188 (0.2672) loss_lansim: 0.1277 (0.1239) loss_contra: 0.0156 (0.3054) time: 2.5198 data: 0.0025 max mem: 31654 Epoch: [0] [3140/5278] eta: 1:31:52 lr: 4.932999846910489e-05 loss: 0.2031 (0.2491) loss_seg: 0.2193 (0.2671) loss_lansim: 0.1261 (0.1239) loss_contra: 0.0152 (0.3048) time: 2.5203 data: 0.0025 max mem: 31654 Epoch: [0] [3150/5278] eta: 1:31:27 lr: 4.932786377736397e-05 loss: 0.2077 (0.2492) loss_seg: 0.2239 (0.2671) loss_lansim: 0.1254 (0.1239) loss_contra: 0.0152 (0.3045) time: 2.5208 data: 0.0025 max mem: 31654 Epoch: [0] [3160/5278] eta: 1:31:01 lr: 4.932572907535856e-05 loss: 0.2060 (0.2489) loss_seg: 0.2227 (0.2669) loss_lansim: 0.1287 (0.1239) loss_contra: 0.0156 (0.3041) time: 2.5335 data: 0.0025 max mem: 31654 Epoch: [0] [3170/5278] eta: 1:30:35 lr: 4.932359436308811e-05 loss: 0.2031 (0.2487) loss_seg: 0.2209 (0.2667) loss_lansim: 0.1302 (0.1240) loss_contra: 0.0300 (0.3035) time: 2.5450 data: 0.0025 max mem: 31654 Epoch: [0] [3180/5278] eta: 1:30:10 lr: 4.932145964055208e-05 loss: 0.2060 (0.2486) loss_seg: 0.2239 (0.2666) loss_lansim: 0.1313 (0.1241) loss_contra: 0.0258 (0.3034) time: 2.5508 data: 0.0025 max mem: 31654 Epoch: [0] [3190/5278] eta: 1:29:44 lr: 4.931932490774992e-05 loss: 0.2060 (0.2486) loss_seg: 0.2239 (0.2665) loss_lansim: 0.1299 (0.1241) loss_contra: 0.0322 (0.3028) time: 2.5495 data: 0.0025 max mem: 31654 Epoch: [0] [3200/5278] eta: 1:29:18 lr: 4.9317190164681096e-05 loss: 0.2025 (0.2484) loss_seg: 0.2227 (0.2664) loss_lansim: 0.1313 (0.1241) loss_contra: 0.0406 (0.3021) time: 2.5548 data: 0.0025 max mem: 31654 Epoch: [0] [3210/5278] eta: 1:28:51 lr: 4.931505541134506e-05 loss: 0.2025 (0.2484) loss_seg: 0.2239 (0.2663) loss_lansim: 0.1328 (0.1242) loss_contra: 0.0424 (0.3017) time: 2.5546 data: 0.0025 max mem: 31654 Epoch: [0] [3220/5278] eta: 1:28:25 lr: 4.9312920647741275e-05 loss: 0.2062 (0.2484) loss_seg: 0.2259 (0.2663) loss_lansim: 0.1353 (0.1243) loss_contra: 0.0424 (0.3011) time: 2.5557 data: 0.0025 max mem: 31654 Epoch: [0] [3230/5278] eta: 1:27:59 lr: 4.931078587386919e-05 loss: 0.2060 (0.2482) loss_seg: 0.2239 (0.2661) loss_lansim: 0.1313 (0.1242) loss_contra: 0.0437 (0.3003) time: 2.5578 data: 0.0025 max mem: 31654 Epoch: [0] [3240/5278] eta: 1:27:33 lr: 4.930865108972826e-05 loss: 0.2025 (0.2481) loss_seg: 0.2244 (0.2660) loss_lansim: 0.1353 (0.1243) loss_contra: 0.0437 (0.2998) time: 2.5581 data: 0.0025 max mem: 31654 Epoch: [0] [3250/5278] eta: 1:27:07 lr: 4.930651629531795e-05 loss: 0.1982 (0.2482) loss_seg: 0.2189 (0.2660) loss_lansim: 0.1353 (0.1243) loss_contra: 0.0424 (0.2994) time: 2.5520 data: 0.0025 max mem: 31654 Epoch: [0] [3260/5278] eta: 1:26:41 lr: 4.930438149063771e-05 loss: 0.2014 (0.2480) loss_seg: 0.2211 (0.2659) loss_lansim: 0.1335 (0.1244) loss_contra: 0.0424 (0.2994) time: 2.5434 data: 0.0026 max mem: 31654 Epoch: [0] [3270/5278] eta: 1:26:15 lr: 4.9302246675687e-05 loss: 0.1982 (0.2478) loss_seg: 0.2189 (0.2657) loss_lansim: 0.1333 (0.1244) loss_contra: 0.0424 (0.2990) time: 2.5370 data: 0.0026 max mem: 31654 Epoch: [0] [3280/5278] eta: 1:25:50 lr: 4.9300111850465276e-05 loss: 0.1974 (0.2478) loss_seg: 0.2162 (0.2656) loss_lansim: 0.1271 (0.1244) loss_contra: 0.0420 (0.2982) time: 2.5454 data: 0.0026 max mem: 31654 Epoch: [0] [3290/5278] eta: 1:25:24 lr: 4.9297977014972e-05 loss: 0.1945 (0.2476) loss_seg: 0.2114 (0.2655) loss_lansim: 0.1264 (0.1244) loss_contra: 0.0420 (0.2977) time: 2.5449 data: 0.0026 max mem: 31654 Epoch: [0] [3300/5278] eta: 1:24:58 lr: 4.929584216920661e-05 loss: 0.1957 (0.2475) loss_seg: 0.2123 (0.2654) loss_lansim: 0.1271 (0.1244) loss_contra: 0.0355 (0.2969) time: 2.5425 data: 0.0025 max mem: 31654 Epoch: [0] [3310/5278] eta: 1:24:31 lr: 4.929370731316858e-05 loss: 0.2084 (0.2475) loss_seg: 0.2189 (0.2654) loss_lansim: 0.1271 (0.1245) loss_contra: 0.0317 (0.2962) time: 2.5508 data: 0.0025 max mem: 31654 Epoch: [0] [3320/5278] eta: 1:24:06 lr: 4.9291572446857365e-05 loss: 0.1991 (0.2475) loss_seg: 0.2162 (0.2653) loss_lansim: 0.1271 (0.1245) loss_contra: 0.0274 (0.2955) time: 2.5531 data: 0.0025 max mem: 31654 Epoch: [0] [3330/5278] eta: 1:23:40 lr: 4.928943757027242e-05 loss: 0.1998 (0.2473) loss_seg: 0.2189 (0.2652) loss_lansim: 0.1276 (0.1245) loss_contra: 0.0293 (0.2949) time: 2.5574 data: 0.0026 max mem: 31654 Epoch: [0] [3340/5278] eta: 1:23:14 lr: 4.928730268341319e-05 loss: 0.1991 (0.2472) loss_seg: 0.2123 (0.2651) loss_lansim: 0.1271 (0.1245) loss_contra: 0.0274 (0.2947) time: 2.5542 data: 0.0026 max mem: 31654 Epoch: [0] [3350/5278] eta: 1:22:48 lr: 4.928516778627913e-05 loss: 0.1998 (0.2471) loss_seg: 0.2179 (0.2650) loss_lansim: 0.1247 (0.1245) loss_contra: 0.0168 (0.2939) time: 2.5624 data: 0.0026 max mem: 31654 Epoch: [0] [3360/5278] eta: 1:22:23 lr: 4.928303287886972e-05 loss: 0.1991 (0.2471) loss_seg: 0.2123 (0.2649) loss_lansim: 0.1248 (0.1246) loss_contra: 0.0119 (0.2935) time: 2.5673 data: 0.0025 max mem: 31654 Epoch: [0] [3370/5278] eta: 1:21:56 lr: 4.92808979611844e-05 loss: 0.2021 (0.2469) loss_seg: 0.2179 (0.2648) loss_lansim: 0.1264 (0.1246) loss_contra: 0.0115 (0.2930) time: 2.5629 data: 0.0025 max mem: 31654 Epoch: [0] [3380/5278] eta: 1:21:30 lr: 4.927876303322262e-05 loss: 0.2021 (0.2469) loss_seg: 0.2188 (0.2648) loss_lansim: 0.1343 (0.1247) loss_contra: 0.0115 (0.2922) time: 2.5525 data: 0.0025 max mem: 31654 Epoch: [0] [3390/5278] eta: 1:21:05 lr: 4.9276628094983854e-05 loss: 0.2036 (0.2468) loss_seg: 0.2233 (0.2647) loss_lansim: 0.1352 (0.1247) loss_contra: 0.0115 (0.2918) time: 2.5582 data: 0.0025 max mem: 31654 Epoch: [0] [3400/5278] eta: 1:20:39 lr: 4.927449314646754e-05 loss: 0.2021 (0.2467) loss_seg: 0.2188 (0.2646) loss_lansim: 0.1352 (0.1248) loss_contra: 0.0117 (0.2914) time: 2.5659 data: 0.0026 max mem: 31654 Epoch: [0] [3410/5278] eta: 1:20:13 lr: 4.927235818767314e-05 loss: 0.1967 (0.2467) loss_seg: 0.2119 (0.2646) loss_lansim: 0.1350 (0.1248) loss_contra: 0.0119 (0.2908) time: 2.5718 data: 0.0026 max mem: 31654 Epoch: [0] [3420/5278] eta: 1:19:47 lr: 4.9270223218600106e-05 loss: 0.1969 (0.2466) loss_seg: 0.2130 (0.2644) loss_lansim: 0.1333 (0.1248) loss_contra: 0.0117 (0.2902) time: 2.5603 data: 0.0026 max mem: 31654 Epoch: [0] [3430/5278] eta: 1:19:21 lr: 4.926808823924791e-05 loss: 0.1969 (0.2465) loss_seg: 0.2130 (0.2644) loss_lansim: 0.1303 (0.1248) loss_contra: 0.0117 (0.2901) time: 2.5498 data: 0.0026 max mem: 31654 Epoch: [0] [3440/5278] eta: 1:18:55 lr: 4.926595324961598e-05 loss: 0.1969 (0.2464) loss_seg: 0.2149 (0.2642) loss_lansim: 0.1303 (0.1248) loss_contra: 0.0119 (0.2900) time: 2.5584 data: 0.0026 max mem: 31654 Epoch: [0] [3450/5278] eta: 1:18:29 lr: 4.92638182497038e-05 loss: 0.1967 (0.2464) loss_seg: 0.2130 (0.2642) loss_lansim: 0.1298 (0.1248) loss_contra: 0.0150 (0.2901) time: 2.5539 data: 0.0026 max mem: 31654 Epoch: [0] [3460/5278] eta: 1:18:03 lr: 4.926168323951081e-05 loss: 0.1968 (0.2463) loss_seg: 0.2149 (0.2641) loss_lansim: 0.1286 (0.1248) loss_contra: 0.0189 (0.2898) time: 2.5478 data: 0.0027 max mem: 31654 Epoch: [0] [3470/5278] eta: 1:17:38 lr: 4.925954821903646e-05 loss: 0.2055 (0.2462) loss_seg: 0.2192 (0.2640) loss_lansim: 0.1238 (0.1247) loss_contra: 0.0218 (0.2891) time: 2.5557 data: 0.0027 max mem: 31654 Epoch: [0] [3480/5278] eta: 1:17:12 lr: 4.9257413188280214e-05 loss: 0.2055 (0.2461) loss_seg: 0.2241 (0.2640) loss_lansim: 0.1216 (0.1247) loss_contra: 0.0218 (0.2884) time: 2.5595 data: 0.0027 max mem: 31654 Epoch: [0] [3490/5278] eta: 1:16:46 lr: 4.925527814724153e-05 loss: 0.2091 (0.2461) loss_seg: 0.2285 (0.2640) loss_lansim: 0.1174 (0.1246) loss_contra: 0.0178 (0.2882) time: 2.5564 data: 0.0027 max mem: 31654 Epoch: [0] [3500/5278] eta: 1:16:20 lr: 4.925314309591986e-05 loss: 0.2091 (0.2460) loss_seg: 0.2285 (0.2639) loss_lansim: 0.1154 (0.1246) loss_contra: 0.0218 (0.2875) time: 2.5491 data: 0.0027 max mem: 31654 Epoch: [0] [3510/5278] eta: 1:15:54 lr: 4.925100803431466e-05 loss: 0.2011 (0.2459) loss_seg: 0.2215 (0.2637) loss_lansim: 0.1123 (0.1245) loss_contra: 0.0178 (0.2869) time: 2.5476 data: 0.0026 max mem: 31654 Epoch: [0] [3520/5278] eta: 1:15:28 lr: 4.924887296242538e-05 loss: 0.2011 (0.2458) loss_seg: 0.2171 (0.2636) loss_lansim: 0.1123 (0.1245) loss_contra: 0.0150 (0.2861) time: 2.5550 data: 0.0026 max mem: 31654 Epoch: [0] [3530/5278] eta: 1:15:02 lr: 4.9246737880251484e-05 loss: 0.1987 (0.2456) loss_seg: 0.2166 (0.2635) loss_lansim: 0.1115 (0.1245) loss_contra: 0.0145 (0.2855) time: 2.5536 data: 0.0026 max mem: 31654 Epoch: [0] [3540/5278] eta: 1:14:37 lr: 4.924460278779242e-05 loss: 0.2003 (0.2456) loss_seg: 0.2171 (0.2634) loss_lansim: 0.1095 (0.1245) loss_contra: 0.0107 (0.2848) time: 2.5588 data: 0.0026 max mem: 31654 Epoch: [0] [3550/5278] eta: 1:14:11 lr: 4.9242467685047645e-05 loss: 0.1986 (0.2455) loss_seg: 0.2166 (0.2633) loss_lansim: 0.1106 (0.1245) loss_contra: 0.0108 (0.2844) time: 2.5526 data: 0.0026 max mem: 31654 Epoch: [0] [3560/5278] eta: 1:13:45 lr: 4.9240332572016614e-05 loss: 0.1963 (0.2453) loss_seg: 0.2161 (0.2631) loss_lansim: 0.1120 (0.1245) loss_contra: 0.0078 (0.2837) time: 2.5517 data: 0.0026 max mem: 31654 Epoch: [0] [3570/5278] eta: 1:13:19 lr: 4.9238197448698774e-05 loss: 0.1884 (0.2451) loss_seg: 0.2055 (0.2630) loss_lansim: 0.1162 (0.1245) loss_contra: 0.0045 (0.2830) time: 2.5507 data: 0.0026 max mem: 31654 Epoch: [0] [3580/5278] eta: 1:12:53 lr: 4.9236062315093604e-05 loss: 0.1864 (0.2450) loss_seg: 0.2036 (0.2628) loss_lansim: 0.1189 (0.1245) loss_contra: 0.0078 (0.2824) time: 2.5549 data: 0.0026 max mem: 31654 Epoch: [0] [3590/5278] eta: 1:12:27 lr: 4.923392717120053e-05 loss: 0.1851 (0.2450) loss_seg: 0.2030 (0.2628) loss_lansim: 0.1189 (0.1245) loss_contra: 0.0084 (0.2819) time: 2.5543 data: 0.0026 max mem: 31654 Epoch: [0] [3600/5278] eta: 1:12:02 lr: 4.9231792017019016e-05 loss: 0.1861 (0.2449) loss_seg: 0.2041 (0.2627) loss_lansim: 0.1162 (0.1244) loss_contra: 0.0084 (0.2813) time: 2.5569 data: 0.0026 max mem: 31654 Epoch: [0] [3610/5278] eta: 1:11:36 lr: 4.922965685254853e-05 loss: 0.1906 (0.2448) loss_seg: 0.2068 (0.2626) loss_lansim: 0.1199 (0.1244) loss_contra: 0.0102 (0.2806) time: 2.5546 data: 0.0026 max mem: 31654 Epoch: [0] [3620/5278] eta: 1:11:10 lr: 4.9227521677788514e-05 loss: 0.1915 (0.2447) loss_seg: 0.2098 (0.2625) loss_lansim: 0.1164 (0.1244) loss_contra: 0.0109 (0.2800) time: 2.5586 data: 0.0026 max mem: 31654 Epoch: [0] [3630/5278] eta: 1:10:44 lr: 4.9225386492738425e-05 loss: 0.1864 (0.2445) loss_seg: 0.2068 (0.2623) loss_lansim: 0.1177 (0.1244) loss_contra: 0.0112 (0.2799) time: 2.5642 data: 0.0025 max mem: 31654 Epoch: [0] [3640/5278] eta: 1:10:18 lr: 4.922325129739771e-05 loss: 0.1891 (0.2444) loss_seg: 0.2068 (0.2622) loss_lansim: 0.1169 (0.1244) loss_contra: 0.0181 (0.2794) time: 2.5510 data: 0.0025 max mem: 31654 Epoch: [0] [3650/5278] eta: 1:09:52 lr: 4.9221116091765834e-05 loss: 0.1930 (0.2443) loss_seg: 0.2107 (0.2621) loss_lansim: 0.1163 (0.1243) loss_contra: 0.0183 (0.2792) time: 2.5605 data: 0.0025 max mem: 31654 Epoch: [0] [3660/5278] eta: 1:09:27 lr: 4.9218980875842255e-05 loss: 0.1937 (0.2444) loss_seg: 0.2139 (0.2622) loss_lansim: 0.1149 (0.1243) loss_contra: 0.0210 (0.2786) time: 2.5676 data: 0.0025 max mem: 31654 Epoch: [0] [3670/5278] eta: 1:09:01 lr: 4.921684564962641e-05 loss: 0.2072 (0.2443) loss_seg: 0.2222 (0.2621) loss_lansim: 0.1128 (0.1242) loss_contra: 0.0250 (0.2783) time: 2.5751 data: 0.0025 max mem: 31654 Epoch: [0] [3680/5278] eta: 1:08:35 lr: 4.921471041311777e-05 loss: 0.2097 (0.2443) loss_seg: 0.2287 (0.2621) loss_lansim: 0.1085 (0.1242) loss_contra: 0.0210 (0.2778) time: 2.5695 data: 0.0025 max mem: 31654 Epoch: [0] [3690/5278] eta: 1:08:10 lr: 4.9212575166315775e-05 loss: 0.2079 (0.2442) loss_seg: 0.2287 (0.2621) loss_lansim: 0.1078 (0.1241) loss_contra: 0.0250 (0.2773) time: 2.5691 data: 0.0025 max mem: 31654 Epoch: [0] [3700/5278] eta: 1:07:44 lr: 4.9210439909219896e-05 loss: 0.2078 (0.2441) loss_seg: 0.2248 (0.2620) loss_lansim: 0.1073 (0.1241) loss_contra: 0.0313 (0.2772) time: 2.5680 data: 0.0025 max mem: 31654 Epoch: [0] [3710/5278] eta: 1:07:17 lr: 4.920830464182958e-05 loss: 0.2039 (0.2440) loss_seg: 0.2222 (0.2618) loss_lansim: 0.1054 (0.1240) loss_contra: 0.0313 (0.2767) time: 2.5618 data: 0.0025 max mem: 31654 Epoch: [0] [3720/5278] eta: 1:06:52 lr: 4.9206169364144274e-05 loss: 0.2030 (0.2440) loss_seg: 0.2181 (0.2619) loss_lansim: 0.1034 (0.1240) loss_contra: 0.0321 (0.2766) time: 2.5594 data: 0.0025 max mem: 31654 Epoch: [0] [3730/5278] eta: 1:06:26 lr: 4.920403407616343e-05 loss: 0.2072 (0.2440) loss_seg: 0.2248 (0.2618) loss_lansim: 0.1034 (0.1240) loss_contra: 0.0361 (0.2764) time: 2.5571 data: 0.0025 max mem: 31654 Epoch: [0] [3740/5278] eta: 1:06:00 lr: 4.920189877788652e-05 loss: 0.2108 (0.2440) loss_seg: 0.2314 (0.2618) loss_lansim: 0.1053 (0.1239) loss_contra: 0.0528 (0.2765) time: 2.5555 data: 0.0025 max mem: 31654 Epoch: [0] [3750/5278] eta: 1:05:34 lr: 4.9199763469312985e-05 loss: 0.2122 (0.2440) loss_seg: 0.2326 (0.2618) loss_lansim: 0.1067 (0.1240) loss_contra: 0.0634 (0.2764) time: 2.5512 data: 0.0025 max mem: 31654 Epoch: [0] [3760/5278] eta: 1:05:08 lr: 4.9197628150442275e-05 loss: 0.2079 (0.2440) loss_seg: 0.2272 (0.2618) loss_lansim: 0.1073 (0.1239) loss_contra: 0.0634 (0.2758) time: 2.5517 data: 0.0025 max mem: 31654 Epoch: [0] [3770/5278] eta: 1:04:42 lr: 4.9195492821273854e-05 loss: 0.2078 (0.2439) loss_seg: 0.2248 (0.2617) loss_lansim: 0.1073 (0.1239) loss_contra: 0.0361 (0.2752) time: 2.5416 data: 0.0025 max mem: 31654 Epoch: [0] [3780/5278] eta: 1:04:16 lr: 4.9193357481807165e-05 loss: 0.2020 (0.2440) loss_seg: 0.2220 (0.2617) loss_lansim: 0.1067 (0.1238) loss_contra: 0.0320 (0.2748) time: 2.5343 data: 0.0025 max mem: 31654 Epoch: [0] [3790/5278] eta: 1:03:50 lr: 4.919122213204168e-05 loss: 0.2005 (0.2439) loss_seg: 0.2185 (0.2617) loss_lansim: 0.1067 (0.1238) loss_contra: 0.0317 (0.2742) time: 2.5294 data: 0.0025 max mem: 31654 Epoch: [0] [3800/5278] eta: 1:03:24 lr: 4.918908677197683e-05 loss: 0.2122 (0.2439) loss_seg: 0.2272 (0.2617) loss_lansim: 0.1075 (0.1238) loss_contra: 0.0250 (0.2739) time: 2.5293 data: 0.0025 max mem: 31654 Epoch: [0] [3810/5278] eta: 1:02:58 lr: 4.918695140161208e-05 loss: 0.2184 (0.2438) loss_seg: 0.2331 (0.2616) loss_lansim: 0.1082 (0.1237) loss_contra: 0.0250 (0.2735) time: 2.5291 data: 0.0025 max mem: 31654 Epoch: [0] [3820/5278] eta: 1:02:32 lr: 4.918481602094688e-05 loss: 0.2184 (0.2438) loss_seg: 0.2284 (0.2615) loss_lansim: 0.1099 (0.1237) loss_contra: 0.0183 (0.2731) time: 2.5333 data: 0.0025 max mem: 31654 Epoch: [0] [3830/5278] eta: 1:02:07 lr: 4.91826806299807e-05 loss: 0.2162 (0.2436) loss_seg: 0.2237 (0.2613) loss_lansim: 0.1086 (0.1237) loss_contra: 0.0183 (0.2727) time: 2.5346 data: 0.0025 max mem: 31654 Epoch: [0] [3840/5278] eta: 1:01:41 lr: 4.918054522871297e-05 loss: 0.2007 (0.2434) loss_seg: 0.2185 (0.2611) loss_lansim: 0.1073 (0.1236) loss_contra: 0.0172 (0.2722) time: 2.5452 data: 0.0025 max mem: 31654 Epoch: [0] [3850/5278] eta: 1:01:15 lr: 4.917840981714315e-05 loss: 0.2005 (0.2433) loss_seg: 0.2176 (0.2610) loss_lansim: 0.1035 (0.1236) loss_contra: 0.0130 (0.2716) time: 2.5403 data: 0.0024 max mem: 31654 Epoch: [0] [3860/5278] eta: 1:00:49 lr: 4.917627439527069e-05 loss: 0.2007 (0.2432) loss_seg: 0.2176 (0.2609) loss_lansim: 0.1017 (0.1235) loss_contra: 0.0130 (0.2711) time: 2.5339 data: 0.0024 max mem: 31654 Epoch: [0] [3870/5278] eta: 1:00:23 lr: 4.917413896309506e-05 loss: 0.2007 (0.2432) loss_seg: 0.2172 (0.2609) loss_lansim: 0.1030 (0.1235) loss_contra: 0.0159 (0.2705) time: 2.5352 data: 0.0024 max mem: 31654 Epoch: [0] [3880/5278] eta: 0:59:58 lr: 4.9172003520615693e-05 loss: 0.1977 (0.2431) loss_seg: 0.2126 (0.2608) loss_lansim: 0.1035 (0.1234) loss_contra: 0.0130 (0.2698) time: 2.5491 data: 0.0024 max mem: 31654 Epoch: [0] [3890/5278] eta: 0:59:32 lr: 4.9169868067832056e-05 loss: 0.2003 (0.2431) loss_seg: 0.2126 (0.2608) loss_lansim: 0.1034 (0.1234) loss_contra: 0.0125 (0.2694) time: 2.5513 data: 0.0024 max mem: 31654 Epoch: [0] [3900/5278] eta: 0:59:06 lr: 4.91677326047436e-05 loss: 0.1906 (0.2429) loss_seg: 0.2092 (0.2606) loss_lansim: 0.1012 (0.1233) loss_contra: 0.0112 (0.2689) time: 2.5444 data: 0.0024 max mem: 31654 Epoch: [0] [3910/5278] eta: 0:58:40 lr: 4.9165597131349766e-05 loss: 0.1821 (0.2427) loss_seg: 0.1966 (0.2604) loss_lansim: 0.1018 (0.1233) loss_contra: 0.0172 (0.2684) time: 2.5429 data: 0.0024 max mem: 31654 Epoch: [0] [3920/5278] eta: 0:58:14 lr: 4.916346164765003e-05 loss: 0.1777 (0.2426) loss_seg: 0.1940 (0.2602) loss_lansim: 0.1007 (0.1232) loss_contra: 0.0171 (0.2677) time: 2.5448 data: 0.0024 max mem: 31654 Epoch: [0] [3930/5278] eta: 0:57:48 lr: 4.916132615364382e-05 loss: 0.1799 (0.2425) loss_seg: 0.1946 (0.2601) loss_lansim: 0.1007 (0.1232) loss_contra: 0.0154 (0.2674) time: 2.5481 data: 0.0024 max mem: 31654 Epoch: [0] [3940/5278] eta: 0:57:23 lr: 4.91591906493306e-05 loss: 0.1799 (0.2423) loss_seg: 0.1946 (0.2600) loss_lansim: 0.1018 (0.1232) loss_contra: 0.0154 (0.2668) time: 2.5450 data: 0.0024 max mem: 31654 Epoch: [0] [3950/5278] eta: 0:56:57 lr: 4.9157055134709824e-05 loss: 0.1775 (0.2422) loss_seg: 0.1940 (0.2599) loss_lansim: 0.1034 (0.1231) loss_contra: 0.0130 (0.2661) time: 2.5537 data: 0.0025 max mem: 31654 Epoch: [0] [3960/5278] eta: 0:56:31 lr: 4.915491960978095e-05 loss: 0.1781 (0.2422) loss_seg: 0.1946 (0.2598) loss_lansim: 0.1039 (0.1231) loss_contra: 0.0118 (0.2655) time: 2.5547 data: 0.0025 max mem: 31654 Epoch: [0] [3970/5278] eta: 0:56:05 lr: 4.915278407454341e-05 loss: 0.1777 (0.2421) loss_seg: 0.1928 (0.2598) loss_lansim: 0.1021 (0.1230) loss_contra: 0.0110 (0.2650) time: 2.5519 data: 0.0025 max mem: 31654 Epoch: [0] [3980/5278] eta: 0:55:39 lr: 4.915064852899668e-05 loss: 0.1799 (0.2420) loss_seg: 0.1955 (0.2597) loss_lansim: 0.1012 (0.1229) loss_contra: 0.0110 (0.2645) time: 2.5407 data: 0.0025 max mem: 31654 Epoch: [0] [3990/5278] eta: 0:55:14 lr: 4.91485129731402e-05 loss: 0.1785 (0.2420) loss_seg: 0.1928 (0.2596) loss_lansim: 0.1018 (0.1229) loss_contra: 0.0118 (0.2640) time: 2.5466 data: 0.0024 max mem: 31654 Epoch: [0] [4000/5278] eta: 0:54:48 lr: 4.914637740697343e-05 loss: 0.1868 (0.2420) loss_seg: 0.1988 (0.2597) loss_lansim: 0.1018 (0.1228) loss_contra: 0.0093 (0.2635) time: 2.5606 data: 0.0024 max mem: 31654 Epoch: [0] [4010/5278] eta: 0:54:22 lr: 4.914424183049581e-05 loss: 0.1901 (0.2418) loss_seg: 0.2062 (0.2595) loss_lansim: 0.1018 (0.1228) loss_contra: 0.0075 (0.2630) time: 2.5645 data: 0.0024 max mem: 31654 Epoch: [0] [4020/5278] eta: 0:53:56 lr: 4.91421062437068e-05 loss: 0.1901 (0.2417) loss_seg: 0.2062 (0.2594) loss_lansim: 0.1027 (0.1228) loss_contra: 0.0089 (0.2625) time: 2.5614 data: 0.0024 max mem: 31654 Epoch: [0] [4030/5278] eta: 0:53:30 lr: 4.913997064660586e-05 loss: 0.1915 (0.2416) loss_seg: 0.2086 (0.2593) loss_lansim: 0.1020 (0.1227) loss_contra: 0.0088 (0.2619) time: 2.5560 data: 0.0024 max mem: 31654 Epoch: [0] [4040/5278] eta: 0:53:04 lr: 4.9137835039192436e-05 loss: 0.1940 (0.2416) loss_seg: 0.2119 (0.2593) loss_lansim: 0.1028 (0.1227) loss_contra: 0.0088 (0.2613) time: 2.5453 data: 0.0024 max mem: 31654 Epoch: [0] [4050/5278] eta: 0:52:39 lr: 4.913569942146598e-05 loss: 0.1953 (0.2415) loss_seg: 0.2148 (0.2592) loss_lansim: 0.1010 (0.1226) loss_contra: 0.0084 (0.2607) time: 2.5480 data: 0.0024 max mem: 31654 Epoch: [0] [4060/5278] eta: 0:52:13 lr: 4.913356379342593e-05 loss: 0.1940 (0.2414) loss_seg: 0.2115 (0.2590) loss_lansim: 0.1005 (0.1225) loss_contra: 0.0083 (0.2601) time: 2.5527 data: 0.0024 max mem: 31654 Epoch: [0] [4070/5278] eta: 0:51:47 lr: 4.9131428155071755e-05 loss: 0.1943 (0.2414) loss_seg: 0.2120 (0.2590) loss_lansim: 0.1014 (0.1225) loss_contra: 0.0083 (0.2596) time: 2.5550 data: 0.0024 max mem: 31654 Epoch: [0] [4080/5278] eta: 0:51:22 lr: 4.912929250640291e-05 loss: 0.1940 (0.2413) loss_seg: 0.2120 (0.2589) loss_lansim: 0.1025 (0.1225) loss_contra: 0.0083 (0.2590) time: 2.5627 data: 0.0024 max mem: 31654 Epoch: [0] [4090/5278] eta: 0:50:56 lr: 4.9127156847418834e-05 loss: 0.1930 (0.2412) loss_seg: 0.2122 (0.2589) loss_lansim: 0.1017 (0.1224) loss_contra: 0.0064 (0.2585) time: 2.5628 data: 0.0025 max mem: 31654 Epoch: [0] [4100/5278] eta: 0:50:30 lr: 4.912502117811899e-05 loss: 0.1926 (0.2413) loss_seg: 0.2120 (0.2590) loss_lansim: 0.1017 (0.1223) loss_contra: 0.0072 (0.2579) time: 2.5508 data: 0.0025 max mem: 31654 Epoch: [0] [4110/5278] eta: 0:50:04 lr: 4.9122885498502826e-05 loss: 0.1926 (0.2412) loss_seg: 0.2122 (0.2589) loss_lansim: 0.1010 (0.1223) loss_contra: 0.0076 (0.2575) time: 2.5546 data: 0.0025 max mem: 31654 Epoch: [0] [4120/5278] eta: 0:49:38 lr: 4.912074980856979e-05 loss: 0.1943 (0.2411) loss_seg: 0.2135 (0.2588) loss_lansim: 0.1005 (0.1223) loss_contra: 0.0064 (0.2570) time: 2.5513 data: 0.0025 max mem: 31654 Epoch: [0] [4130/5278] eta: 0:49:13 lr: 4.911861410831934e-05 loss: 0.1940 (0.2410) loss_seg: 0.2122 (0.2587) loss_lansim: 0.1014 (0.1222) loss_contra: 0.0047 (0.2566) time: 2.5592 data: 0.0025 max mem: 31654 Epoch: [0] [4140/5278] eta: 0:48:47 lr: 4.911647839775092e-05 loss: 0.1903 (0.2409) loss_seg: 0.2118 (0.2586) loss_lansim: 0.1014 (0.1222) loss_contra: 0.0046 (0.2562) time: 2.5737 data: 0.0025 max mem: 31654 Epoch: [0] [4150/5278] eta: 0:48:22 lr: 4.911434267686398e-05 loss: 0.1908 (0.2411) loss_seg: 0.2121 (0.2588) loss_lansim: 0.1015 (0.1222) loss_contra: 0.0048 (0.2558) time: 2.5708 data: 0.0025 max mem: 31654 Epoch: [0] [4160/5278] eta: 0:47:56 lr: 4.911220694565799e-05 loss: 0.1974 (0.2410) loss_seg: 0.2164 (0.2587) loss_lansim: 0.1016 (0.1221) loss_contra: 0.0053 (0.2558) time: 2.5695 data: 0.0025 max mem: 31654 Epoch: [0] [4170/5278] eta: 0:47:30 lr: 4.911007120413238e-05 loss: 0.1974 (0.2410) loss_seg: 0.2201 (0.2587) loss_lansim: 0.1005 (0.1221) loss_contra: 0.0056 (0.2554) time: 2.5674 data: 0.0025 max mem: 31654 Epoch: [0] [4180/5278] eta: 0:47:04 lr: 4.910793545228662e-05 loss: 0.2011 (0.2410) loss_seg: 0.2237 (0.2587) loss_lansim: 0.0998 (0.1220) loss_contra: 0.0069 (0.2550) time: 2.5610 data: 0.0025 max mem: 31654 Epoch: [0] [4190/5278] eta: 0:46:38 lr: 4.910579969012014e-05 loss: 0.2030 (0.2409) loss_seg: 0.2262 (0.2586) loss_lansim: 0.1005 (0.1220) loss_contra: 0.0071 (0.2546) time: 2.5625 data: 0.0025 max mem: 31654 Epoch: [0] [4200/5278] eta: 0:46:13 lr: 4.9103663917632406e-05 loss: 0.2030 (0.2409) loss_seg: 0.2230 (0.2586) loss_lansim: 0.1018 (0.1220) loss_contra: 0.0070 (0.2541) time: 2.5706 data: 0.0026 max mem: 31654 Epoch: [0] [4210/5278] eta: 0:45:47 lr: 4.910152813482288e-05 loss: 0.2030 (0.2409) loss_seg: 0.2201 (0.2585) loss_lansim: 0.1018 (0.1220) loss_contra: 0.0071 (0.2537) time: 2.5680 data: 0.0025 max mem: 31654 Epoch: [0] [4220/5278] eta: 0:45:21 lr: 4.909939234169099e-05 loss: 0.2030 (0.2409) loss_seg: 0.2164 (0.2586) loss_lansim: 0.1058 (0.1220) loss_contra: 0.0070 (0.2532) time: 2.5600 data: 0.0025 max mem: 31654 Epoch: [0] [4230/5278] eta: 0:44:55 lr: 4.909725653823619e-05 loss: 0.2043 (0.2409) loss_seg: 0.2201 (0.2586) loss_lansim: 0.1060 (0.1220) loss_contra: 0.0071 (0.2527) time: 2.5441 data: 0.0025 max mem: 31654 Epoch: [0] [4240/5278] eta: 0:44:29 lr: 4.909512072445794e-05 loss: 0.2081 (0.2408) loss_seg: 0.2262 (0.2585) loss_lansim: 0.1060 (0.1219) loss_contra: 0.0137 (0.2523) time: 2.5334 data: 0.0025 max mem: 31654 Epoch: [0] [4250/5278] eta: 0:44:03 lr: 4.9092984900355706e-05 loss: 0.2090 (0.2408) loss_seg: 0.2262 (0.2585) loss_lansim: 0.1079 (0.1219) loss_contra: 0.0156 (0.2519) time: 2.5283 data: 0.0025 max mem: 31654 Epoch: [0] [4260/5278] eta: 0:43:37 lr: 4.9090849065928906e-05 loss: 0.2088 (0.2407) loss_seg: 0.2277 (0.2584) loss_lansim: 0.1079 (0.1219) loss_contra: 0.0150 (0.2515) time: 2.5231 data: 0.0025 max mem: 31654 Epoch: [0] [4270/5278] eta: 0:43:12 lr: 4.9088713221177005e-05 loss: 0.2073 (0.2406) loss_seg: 0.2259 (0.2583) loss_lansim: 0.1084 (0.1219) loss_contra: 0.0175 (0.2512) time: 2.5281 data: 0.0025 max mem: 31654 Epoch: [0] [4280/5278] eta: 0:42:46 lr: 4.908657736609947e-05 loss: 0.2061 (0.2406) loss_seg: 0.2230 (0.2582) loss_lansim: 0.1114 (0.1218) loss_contra: 0.0203 (0.2509) time: 2.5249 data: 0.0024 max mem: 31654 Epoch: [0] [4290/5278] eta: 0:42:20 lr: 4.908444150069573e-05 loss: 0.2051 (0.2405) loss_seg: 0.2198 (0.2581) loss_lansim: 0.1118 (0.1218) loss_contra: 0.0203 (0.2507) time: 2.5229 data: 0.0024 max mem: 31654 Epoch: [0] [4300/5278] eta: 0:41:54 lr: 4.9082305624965245e-05 loss: 0.2045 (0.2403) loss_seg: 0.2177 (0.2580) loss_lansim: 0.1131 (0.1218) loss_contra: 0.0228 (0.2503) time: 2.5187 data: 0.0025 max mem: 31654 Epoch: [0] [4310/5278] eta: 0:41:28 lr: 4.9080169738907464e-05 loss: 0.1985 (0.2402) loss_seg: 0.2177 (0.2579) loss_lansim: 0.1119 (0.1218) loss_contra: 0.0203 (0.2497) time: 2.5174 data: 0.0025 max mem: 31654 Epoch: [0] [4320/5278] eta: 0:41:02 lr: 4.9078033842521836e-05 loss: 0.1973 (0.2401) loss_seg: 0.2114 (0.2577) loss_lansim: 0.1084 (0.1217) loss_contra: 0.0205 (0.2494) time: 2.5153 data: 0.0025 max mem: 31654 Epoch: [0] [4330/5278] eta: 0:40:36 lr: 4.907589793580782e-05 loss: 0.1971 (0.2400) loss_seg: 0.2106 (0.2576) loss_lansim: 0.1084 (0.1217) loss_contra: 0.0205 (0.2489) time: 2.5126 data: 0.0025 max mem: 31654 Epoch: [0] [4340/5278] eta: 0:40:11 lr: 4.9073762018764857e-05 loss: 0.1921 (0.2400) loss_seg: 0.2069 (0.2577) loss_lansim: 0.1067 (0.1216) loss_contra: 0.0174 (0.2485) time: 2.5127 data: 0.0025 max mem: 31654 Epoch: [0] [4350/5278] eta: 0:39:45 lr: 4.9071626091392406e-05 loss: 0.1855 (0.2399) loss_seg: 0.2027 (0.2575) loss_lansim: 0.1050 (0.1216) loss_contra: 0.0143 (0.2481) time: 2.5065 data: 0.0025 max mem: 31654 Epoch: [0] [4360/5278] eta: 0:39:19 lr: 4.90694901536899e-05 loss: 0.1839 (0.2398) loss_seg: 0.2003 (0.2574) loss_lansim: 0.1033 (0.1216) loss_contra: 0.0131 (0.2477) time: 2.4991 data: 0.0025 max mem: 31654 Epoch: [0] [4370/5278] eta: 0:38:53 lr: 4.906735420565682e-05 loss: 0.1855 (0.2397) loss_seg: 0.2022 (0.2573) loss_lansim: 0.1016 (0.1215) loss_contra: 0.0131 (0.2473) time: 2.4915 data: 0.0025 max mem: 31654 Epoch: [0] [4380/5278] eta: 0:38:27 lr: 4.9065218247292585e-05 loss: 0.1839 (0.2396) loss_seg: 0.1999 (0.2572) loss_lansim: 0.1033 (0.1215) loss_contra: 0.0096 (0.2468) time: 2.4843 data: 0.0025 max mem: 31654 Epoch: [0] [4390/5278] eta: 0:38:01 lr: 4.9063082278596663e-05 loss: 0.1884 (0.2396) loss_seg: 0.2022 (0.2572) loss_lansim: 0.1050 (0.1215) loss_contra: 0.0105 (0.2464) time: 2.4809 data: 0.0025 max mem: 31654 Epoch: [0] [4400/5278] eta: 0:37:35 lr: 4.906094629956849e-05 loss: 0.1917 (0.2396) loss_seg: 0.2048 (0.2572) loss_lansim: 0.1057 (0.1215) loss_contra: 0.0095 (0.2458) time: 2.4848 data: 0.0024 max mem: 31654 Epoch: [0] [4410/5278] eta: 0:37:10 lr: 4.905881031020754e-05 loss: 0.1917 (0.2396) loss_seg: 0.2012 (0.2572) loss_lansim: 0.1047 (0.1214) loss_contra: 0.0095 (0.2454) time: 2.4850 data: 0.0024 max mem: 31654 Epoch: [0] [4420/5278] eta: 0:36:44 lr: 4.905667431051325e-05 loss: 0.1930 (0.2395) loss_seg: 0.2027 (0.2571) loss_lansim: 0.1046 (0.1214) loss_contra: 0.0095 (0.2450) time: 2.4891 data: 0.0025 max mem: 31654 Epoch: [0] [4430/5278] eta: 0:36:18 lr: 4.905453830048507e-05 loss: 0.1936 (0.2395) loss_seg: 0.2073 (0.2570) loss_lansim: 0.1039 (0.1214) loss_contra: 0.0119 (0.2446) time: 2.5043 data: 0.0025 max mem: 31654 Epoch: [0] [4440/5278] eta: 0:35:52 lr: 4.905240228012243e-05 loss: 0.1911 (0.2393) loss_seg: 0.1986 (0.2569) loss_lansim: 0.1051 (0.1214) loss_contra: 0.0121 (0.2443) time: 2.5042 data: 0.0024 max mem: 31654 Epoch: [0] [4450/5278] eta: 0:35:27 lr: 4.905026624942482e-05 loss: 0.1936 (0.2393) loss_seg: 0.2073 (0.2568) loss_lansim: 0.1078 (0.1214) loss_contra: 0.0121 (0.2440) time: 2.5120 data: 0.0024 max mem: 31654 Epoch: [0] [4460/5278] eta: 0:35:01 lr: 4.9048130208391665e-05 loss: 0.1939 (0.2391) loss_seg: 0.2074 (0.2567) loss_lansim: 0.1107 (0.1215) loss_contra: 0.0119 (0.2436) time: 2.5179 data: 0.0024 max mem: 31654 Epoch: [0] [4470/5278] eta: 0:34:35 lr: 4.9045994157022413e-05 loss: 0.1947 (0.2391) loss_seg: 0.2106 (0.2566) loss_lansim: 0.1123 (0.1215) loss_contra: 0.0093 (0.2431) time: 2.5240 data: 0.0024 max mem: 31654 Epoch: [0] [4480/5278] eta: 0:34:09 lr: 4.904385809531652e-05 loss: 0.1931 (0.2389) loss_seg: 0.2073 (0.2564) loss_lansim: 0.1161 (0.1215) loss_contra: 0.0071 (0.2426) time: 2.5412 data: 0.0024 max mem: 31654 Epoch: [0] [4490/5278] eta: 0:33:44 lr: 4.904172202327344e-05 loss: 0.1862 (0.2387) loss_seg: 0.1957 (0.2563) loss_lansim: 0.1196 (0.1215) loss_contra: 0.0071 (0.2421) time: 2.5421 data: 0.0025 max mem: 31654 Epoch: [0] [4500/5278] eta: 0:33:18 lr: 4.903958594089262e-05 loss: 0.1862 (0.2387) loss_seg: 0.1979 (0.2562) loss_lansim: 0.1180 (0.1215) loss_contra: 0.0104 (0.2417) time: 2.5421 data: 0.0025 max mem: 31654 Epoch: [0] [4510/5278] eta: 0:32:52 lr: 4.903744984817351e-05 loss: 0.1888 (0.2387) loss_seg: 0.2071 (0.2562) loss_lansim: 0.1211 (0.1215) loss_contra: 0.0093 (0.2412) time: 2.5453 data: 0.0025 max mem: 31654 Epoch: [0] [4520/5278] eta: 0:32:27 lr: 4.903531374511555e-05 loss: 0.1925 (0.2387) loss_seg: 0.2093 (0.2562) loss_lansim: 0.1211 (0.1215) loss_contra: 0.0104 (0.2408) time: 2.5576 data: 0.0025 max mem: 31654 Epoch: [0] [4530/5278] eta: 0:32:01 lr: 4.9033177631718196e-05 loss: 0.1925 (0.2387) loss_seg: 0.2093 (0.2562) loss_lansim: 0.1219 (0.1215) loss_contra: 0.0080 (0.2404) time: 2.5532 data: 0.0025 max mem: 31654 Epoch: [0] [4540/5278] eta: 0:31:35 lr: 4.903104150798091e-05 loss: 0.1926 (0.2386) loss_seg: 0.2120 (0.2561) loss_lansim: 0.1230 (0.1215) loss_contra: 0.0077 (0.2400) time: 2.5488 data: 0.0025 max mem: 31654 Epoch: [0] [4550/5278] eta: 0:31:09 lr: 4.902890537390312e-05 loss: 0.1931 (0.2385) loss_seg: 0.2125 (0.2561) loss_lansim: 0.1220 (0.1216) loss_contra: 0.0077 (0.2397) time: 2.5487 data: 0.0024 max mem: 31654 Epoch: [0] [4560/5278] eta: 0:30:44 lr: 4.902676922948428e-05 loss: 0.1981 (0.2385) loss_seg: 0.2150 (0.2560) loss_lansim: 0.1220 (0.1216) loss_contra: 0.0081 (0.2394) time: 2.5544 data: 0.0024 max mem: 31654 Epoch: [0] [4570/5278] eta: 0:30:18 lr: 4.902463307472385e-05 loss: 0.1939 (0.2384) loss_seg: 0.2129 (0.2560) loss_lansim: 0.1211 (0.1216) loss_contra: 0.0104 (0.2389) time: 2.5468 data: 0.0024 max mem: 31654 Epoch: [0] [4580/5278] eta: 0:29:52 lr: 4.9022496909621285e-05 loss: 0.2042 (0.2384) loss_seg: 0.2193 (0.2559) loss_lansim: 0.1218 (0.1216) loss_contra: 0.0104 (0.2384) time: 2.5386 data: 0.0024 max mem: 31654 Epoch: [0] [4590/5278] eta: 0:29:26 lr: 4.902036073417601e-05 loss: 0.2045 (0.2385) loss_seg: 0.2206 (0.2560) loss_lansim: 0.1211 (0.1216) loss_contra: 0.0104 (0.2381) time: 2.5332 data: 0.0024 max mem: 31654 Epoch: [0] [4600/5278] eta: 0:29:01 lr: 4.901822454838749e-05 loss: 0.2045 (0.2384) loss_seg: 0.2206 (0.2559) loss_lansim: 0.1211 (0.1216) loss_contra: 0.0102 (0.2378) time: 2.5325 data: 0.0024 max mem: 31654 Epoch: [0] [4610/5278] eta: 0:28:35 lr: 4.901608835225517e-05 loss: 0.2042 (0.2383) loss_seg: 0.2193 (0.2559) loss_lansim: 0.1222 (0.1216) loss_contra: 0.0111 (0.2374) time: 2.5367 data: 0.0024 max mem: 31654 Epoch: [0] [4620/5278] eta: 0:28:09 lr: 4.9013952145778515e-05 loss: 0.1981 (0.2383) loss_seg: 0.2136 (0.2558) loss_lansim: 0.1272 (0.1217) loss_contra: 0.0111 (0.2372) time: 2.5255 data: 0.0024 max mem: 31654 Epoch: [0] [4630/5278] eta: 0:27:43 lr: 4.901181592895694e-05 loss: 0.1979 (0.2382) loss_seg: 0.2129 (0.2558) loss_lansim: 0.1254 (0.1217) loss_contra: 0.0140 (0.2369) time: 2.5204 data: 0.0024 max mem: 31654 Epoch: [0] [4640/5278] eta: 0:27:18 lr: 4.9009679701789926e-05 loss: 0.1981 (0.2382) loss_seg: 0.2125 (0.2557) loss_lansim: 0.1224 (0.1217) loss_contra: 0.0152 (0.2365) time: 2.5287 data: 0.0024 max mem: 31654 Epoch: [0] [4650/5278] eta: 0:26:52 lr: 4.90075434642769e-05 loss: 0.1941 (0.2380) loss_seg: 0.2097 (0.2555) loss_lansim: 0.1222 (0.1217) loss_contra: 0.0140 (0.2362) time: 2.5318 data: 0.0023 max mem: 31654 Epoch: [0] [4660/5278] eta: 0:26:26 lr: 4.9005407216417334e-05 loss: 0.1908 (0.2379) loss_seg: 0.2047 (0.2554) loss_lansim: 0.1224 (0.1217) loss_contra: 0.0151 (0.2360) time: 2.5344 data: 0.0024 max mem: 31654 Epoch: [0] [4670/5278] eta: 0:26:01 lr: 4.9003270958210647e-05 loss: 0.1888 (0.2378) loss_seg: 0.2029 (0.2554) loss_lansim: 0.1254 (0.1217) loss_contra: 0.0151 (0.2356) time: 2.5409 data: 0.0024 max mem: 31654 Epoch: [0] [4680/5278] eta: 0:25:35 lr: 4.9001134689656306e-05 loss: 0.1881 (0.2377) loss_seg: 0.2029 (0.2553) loss_lansim: 0.1222 (0.1217) loss_contra: 0.0151 (0.2352) time: 2.5400 data: 0.0023 max mem: 31654 Epoch: [0] [4690/5278] eta: 0:25:09 lr: 4.899899841075376e-05 loss: 0.1930 (0.2377) loss_seg: 0.2072 (0.2552) loss_lansim: 0.1208 (0.1217) loss_contra: 0.0151 (0.2350) time: 2.5504 data: 0.0023 max mem: 31654 Epoch: [0] [4700/5278] eta: 0:24:43 lr: 4.899686212150245e-05 loss: 0.1930 (0.2376) loss_seg: 0.2047 (0.2551) loss_lansim: 0.1199 (0.1217) loss_contra: 0.0173 (0.2346) time: 2.5389 data: 0.0023 max mem: 31654 Epoch: [0] [4710/5278] eta: 0:24:18 lr: 4.899472582190184e-05 loss: 0.1954 (0.2376) loss_seg: 0.2125 (0.2551) loss_lansim: 0.1199 (0.1217) loss_contra: 0.0188 (0.2343) time: 2.5419 data: 0.0023 max mem: 31654 Epoch: [0] [4720/5278] eta: 0:23:52 lr: 4.899258951195136e-05 loss: 0.1954 (0.2375) loss_seg: 0.2099 (0.2550) loss_lansim: 0.1185 (0.1217) loss_contra: 0.0188 (0.2340) time: 2.5447 data: 0.0023 max mem: 31654 Epoch: [0] [4730/5278] eta: 0:23:26 lr: 4.8990453191650463e-05 loss: 0.1950 (0.2374) loss_seg: 0.2045 (0.2549) loss_lansim: 0.1177 (0.1217) loss_contra: 0.0180 (0.2337) time: 2.5543 data: 0.0023 max mem: 31654 Epoch: [0] [4740/5278] eta: 0:23:01 lr: 4.8988316860998607e-05 loss: 0.1954 (0.2374) loss_seg: 0.2069 (0.2549) loss_lansim: 0.1199 (0.1217) loss_contra: 0.0194 (0.2335) time: 2.5572 data: 0.0023 max mem: 31654 Epoch: [0] [4750/5278] eta: 0:22:35 lr: 4.8986180519995235e-05 loss: 0.1990 (0.2374) loss_seg: 0.2170 (0.2549) loss_lansim: 0.1205 (0.1218) loss_contra: 0.0212 (0.2331) time: 2.5570 data: 0.0023 max mem: 31654 Epoch: [0] [4760/5278] eta: 0:22:09 lr: 4.8984044168639785e-05 loss: 0.1993 (0.2374) loss_seg: 0.2177 (0.2549) loss_lansim: 0.1203 (0.1218) loss_contra: 0.0188 (0.2327) time: 2.5527 data: 0.0023 max mem: 31654 Epoch: [0] [4770/5278] eta: 0:21:44 lr: 4.8981907806931716e-05 loss: 0.2046 (0.2374) loss_seg: 0.2196 (0.2549) loss_lansim: 0.1244 (0.1218) loss_contra: 0.0212 (0.2327) time: 2.5591 data: 0.0023 max mem: 31654 Epoch: [0] [4780/5278] eta: 0:21:18 lr: 4.897977143487048e-05 loss: 0.2073 (0.2374) loss_seg: 0.2226 (0.2549) loss_lansim: 0.1294 (0.1219) loss_contra: 0.0212 (0.2323) time: 2.5680 data: 0.0023 max mem: 31654 Epoch: [0] [4790/5278] eta: 0:20:52 lr: 4.897763505245551e-05 loss: 0.2073 (0.2374) loss_seg: 0.2204 (0.2549) loss_lansim: 0.1345 (0.1219) loss_contra: 0.0223 (0.2324) time: 2.5645 data: 0.0023 max mem: 31654 Epoch: [0] [4800/5278] eta: 0:20:27 lr: 4.897549865968627e-05 loss: 0.2073 (0.2373) loss_seg: 0.2204 (0.2548) loss_lansim: 0.1345 (0.1219) loss_contra: 0.0290 (0.2321) time: 2.5661 data: 0.0023 max mem: 31654 Epoch: [0] [4810/5278] eta: 0:20:01 lr: 4.89733622565622e-05 loss: 0.1980 (0.2372) loss_seg: 0.2142 (0.2547) loss_lansim: 0.1330 (0.1219) loss_contra: 0.0290 (0.2318) time: 2.5594 data: 0.0023 max mem: 31654 Epoch: [0] [4820/5278] eta: 0:19:35 lr: 4.897122584308275e-05 loss: 0.1939 (0.2370) loss_seg: 0.2138 (0.2545) loss_lansim: 0.1290 (0.1219) loss_contra: 0.0245 (0.2314) time: 2.5603 data: 0.0023 max mem: 31654 Epoch: [0] [4830/5278] eta: 0:19:10 lr: 4.896908941924737e-05 loss: 0.1980 (0.2370) loss_seg: 0.2142 (0.2545) loss_lansim: 0.1259 (0.1219) loss_contra: 0.0290 (0.2311) time: 2.5528 data: 0.0023 max mem: 31654 Epoch: [0] [4840/5278] eta: 0:18:44 lr: 4.896695298505549e-05 loss: 0.2014 (0.2371) loss_seg: 0.2150 (0.2546) loss_lansim: 0.1256 (0.1219) loss_contra: 0.0284 (0.2311) time: 2.5448 data: 0.0024 max mem: 31654 Epoch: [0] [4850/5278] eta: 0:18:18 lr: 4.8964816540506584e-05 loss: 0.1933 (0.2371) loss_seg: 0.2138 (0.2546) loss_lansim: 0.1255 (0.1219) loss_contra: 0.0294 (0.2307) time: 2.5463 data: 0.0024 max mem: 31654 Epoch: [0] [4860/5278] eta: 0:17:52 lr: 4.896268008560009e-05 loss: 0.1939 (0.2370) loss_seg: 0.2142 (0.2545) loss_lansim: 0.1240 (0.1219) loss_contra: 0.0322 (0.2305) time: 2.5488 data: 0.0024 max mem: 31654 Epoch: [0] [4870/5278] eta: 0:17:27 lr: 4.8960543620335446e-05 loss: 0.1939 (0.2369) loss_seg: 0.2138 (0.2544) loss_lansim: 0.1220 (0.1219) loss_contra: 0.0261 (0.2304) time: 2.5298 data: 0.0024 max mem: 31654 Epoch: [0] [4880/5278] eta: 0:17:01 lr: 4.895840714471212e-05 loss: 0.1939 (0.2369) loss_seg: 0.2142 (0.2544) loss_lansim: 0.1189 (0.1219) loss_contra: 0.0312 (0.2303) time: 2.5274 data: 0.0024 max mem: 31654 Epoch: [0] [4890/5278] eta: 0:16:35 lr: 4.895627065872953e-05 loss: 0.1992 (0.2369) loss_seg: 0.2177 (0.2545) loss_lansim: 0.1183 (0.1218) loss_contra: 0.0312 (0.2300) time: 2.5222 data: 0.0024 max mem: 31654 Epoch: [0] [4900/5278] eta: 0:16:10 lr: 4.8954134162387145e-05 loss: 0.1975 (0.2368) loss_seg: 0.2170 (0.2544) loss_lansim: 0.1172 (0.1218) loss_contra: 0.0261 (0.2297) time: 2.5257 data: 0.0024 max mem: 31654 Epoch: [0] [4910/5278] eta: 0:15:44 lr: 4.895199765568441e-05 loss: 0.1999 (0.2368) loss_seg: 0.2200 (0.2544) loss_lansim: 0.1177 (0.1219) loss_contra: 0.0170 (0.2294) time: 2.5254 data: 0.0024 max mem: 31654 Epoch: [0] [4920/5278] eta: 0:15:18 lr: 4.8949861138620774e-05 loss: 0.2087 (0.2368) loss_seg: 0.2325 (0.2544) loss_lansim: 0.1174 (0.1218) loss_contra: 0.0170 (0.2289) time: 2.5227 data: 0.0024 max mem: 31654 Epoch: [0] [4930/5278] eta: 0:14:53 lr: 4.8947724611195676e-05 loss: 0.2139 (0.2368) loss_seg: 0.2341 (0.2543) loss_lansim: 0.1172 (0.1218) loss_contra: 0.0149 (0.2286) time: 2.5271 data: 0.0024 max mem: 31654 Epoch: [0] [4940/5278] eta: 0:14:27 lr: 4.8945588073408566e-05 loss: 0.2004 (0.2368) loss_seg: 0.2214 (0.2544) loss_lansim: 0.1172 (0.1218) loss_contra: 0.0137 (0.2283) time: 2.5369 data: 0.0024 max mem: 31654 Epoch: [0] [4950/5278] eta: 0:14:01 lr: 4.8943451525258896e-05 loss: 0.2004 (0.2367) loss_seg: 0.2214 (0.2543) loss_lansim: 0.1174 (0.1218) loss_contra: 0.0137 (0.2280) time: 2.5289 data: 0.0024 max mem: 31654 Epoch: [0] [4960/5278] eta: 0:13:36 lr: 4.894131496674611e-05 loss: 0.1999 (0.2366) loss_seg: 0.2200 (0.2542) loss_lansim: 0.1164 (0.1218) loss_contra: 0.0123 (0.2276) time: 2.5300 data: 0.0024 max mem: 31654 Epoch: [0] [4970/5278] eta: 0:13:10 lr: 4.893917839786965e-05 loss: 0.2004 (0.2365) loss_seg: 0.2221 (0.2541) loss_lansim: 0.1174 (0.1218) loss_contra: 0.0165 (0.2273) time: 2.5381 data: 0.0023 max mem: 31654 Epoch: [0] [4980/5278] eta: 0:12:44 lr: 4.893704181862897e-05 loss: 0.2017 (0.2365) loss_seg: 0.2232 (0.2541) loss_lansim: 0.1181 (0.1218) loss_contra: 0.0118 (0.2269) time: 2.5259 data: 0.0023 max mem: 31654 Epoch: [0] [4990/5278] eta: 0:12:18 lr: 4.893490522902351e-05 loss: 0.2002 (0.2365) loss_seg: 0.2215 (0.2541) loss_lansim: 0.1177 (0.1218) loss_contra: 0.0115 (0.2266) time: 2.5332 data: 0.0023 max mem: 31654 Epoch: [0] [5000/5278] eta: 0:11:53 lr: 4.893276862905273e-05 loss: 0.2017 (0.2367) loss_seg: 0.2232 (0.2542) loss_lansim: 0.1181 (0.1218) loss_contra: 0.0115 (0.2265) time: 2.5381 data: 0.0023 max mem: 31654 Epoch: [0] [5010/5278] eta: 0:11:27 lr: 4.893063201871606e-05 loss: 0.1986 (0.2365) loss_seg: 0.2159 (0.2541) loss_lansim: 0.1165 (0.1218) loss_contra: 0.0118 (0.2262) time: 2.5391 data: 0.0023 max mem: 31654 Epoch: [0] [5020/5278] eta: 0:11:01 lr: 4.8928495398012966e-05 loss: 0.1962 (0.2364) loss_seg: 0.2130 (0.2540) loss_lansim: 0.1203 (0.1218) loss_contra: 0.0118 (0.2257) time: 2.5365 data: 0.0023 max mem: 31654 Epoch: [0] [5030/5278] eta: 0:10:36 lr: 4.892635876694288e-05 loss: 0.1920 (0.2364) loss_seg: 0.2112 (0.2539) loss_lansim: 0.1170 (0.1218) loss_contra: 0.0115 (0.2254) time: 2.5385 data: 0.0023 max mem: 31654 Epoch: [0] [5040/5278] eta: 0:10:10 lr: 4.892422212550525e-05 loss: 0.1938 (0.2364) loss_seg: 0.2130 (0.2540) loss_lansim: 0.1209 (0.1218) loss_contra: 0.0113 (0.2252) time: 2.5337 data: 0.0023 max mem: 31654 Epoch: [0] [5050/5278] eta: 0:09:44 lr: 4.8922085473699526e-05 loss: 0.2017 (0.2365) loss_seg: 0.2232 (0.2540) loss_lansim: 0.1221 (0.1219) loss_contra: 0.0113 (0.2249) time: 2.5348 data: 0.0023 max mem: 31654 Epoch: [0] [5060/5278] eta: 0:09:19 lr: 4.8919948811525154e-05 loss: 0.2018 (0.2364) loss_seg: 0.2227 (0.2540) loss_lansim: 0.1241 (0.1219) loss_contra: 0.0103 (0.2246) time: 2.5287 data: 0.0023 max mem: 31654 Epoch: [0] [5070/5278] eta: 0:08:53 lr: 4.891781213898158e-05 loss: 0.2017 (0.2364) loss_seg: 0.2189 (0.2539) loss_lansim: 0.1228 (0.1218) loss_contra: 0.0066 (0.2242) time: 2.5330 data: 0.0023 max mem: 31654 Epoch: [0] [5080/5278] eta: 0:08:27 lr: 4.891567545606825e-05 loss: 0.2000 (0.2364) loss_seg: 0.2179 (0.2539) loss_lansim: 0.1170 (0.1218) loss_contra: 0.0078 (0.2239) time: 2.5350 data: 0.0023 max mem: 31654 Epoch: [0] [5090/5278] eta: 0:08:02 lr: 4.891353876278461e-05 loss: 0.1999 (0.2364) loss_seg: 0.2179 (0.2539) loss_lansim: 0.1170 (0.1218) loss_contra: 0.0076 (0.2235) time: 2.5319 data: 0.0024 max mem: 31654 Epoch: [0] [5100/5278] eta: 0:07:36 lr: 4.891140205913011e-05 loss: 0.2000 (0.2364) loss_seg: 0.2186 (0.2539) loss_lansim: 0.1170 (0.1218) loss_contra: 0.0076 (0.2233) time: 2.5284 data: 0.0023 max mem: 31654 Epoch: [0] [5110/5278] eta: 0:07:10 lr: 4.890926534510419e-05 loss: 0.1999 (0.2362) loss_seg: 0.2186 (0.2538) loss_lansim: 0.1175 (0.1218) loss_contra: 0.0076 (0.2230) time: 2.5399 data: 0.0023 max mem: 31654 Epoch: [0] [5120/5278] eta: 0:06:45 lr: 4.890712862070631e-05 loss: 0.1999 (0.2362) loss_seg: 0.2189 (0.2537) loss_lansim: 0.1224 (0.1218) loss_contra: 0.0081 (0.2228) time: 2.5503 data: 0.0023 max mem: 31654 Epoch: [0] [5130/5278] eta: 0:06:19 lr: 4.890499188593589e-05 loss: 0.2009 (0.2362) loss_seg: 0.2198 (0.2538) loss_lansim: 0.1224 (0.1218) loss_contra: 0.0102 (0.2227) time: 2.5534 data: 0.0023 max mem: 31654 Epoch: [0] [5140/5278] eta: 0:05:54 lr: 4.89028551407924e-05 loss: 0.2000 (0.2361) loss_seg: 0.2189 (0.2537) loss_lansim: 0.1158 (0.1218) loss_contra: 0.0108 (0.2225) time: 2.5478 data: 0.0023 max mem: 31654 Epoch: [0] [5150/5278] eta: 0:05:28 lr: 4.8900718385275274e-05 loss: 0.1962 (0.2361) loss_seg: 0.2153 (0.2536) loss_lansim: 0.1145 (0.1218) loss_contra: 0.0098 (0.2221) time: 2.5494 data: 0.0023 max mem: 31654 Epoch: [0] [5160/5278] eta: 0:05:02 lr: 4.8898581619383974e-05 loss: 0.1948 (0.2360) loss_seg: 0.2143 (0.2535) loss_lansim: 0.1141 (0.1218) loss_contra: 0.0092 (0.2218) time: 2.5600 data: 0.0023 max mem: 31654 Epoch: [0] [5170/5278] eta: 0:04:37 lr: 4.889644484311792e-05 loss: 0.1986 (0.2360) loss_seg: 0.2150 (0.2535) loss_lansim: 0.1140 (0.1217) loss_contra: 0.0102 (0.2215) time: 2.5596 data: 0.0023 max mem: 31654 Epoch: [0] [5180/5278] eta: 0:04:11 lr: 4.889430805647658e-05 loss: 0.1967 (0.2360) loss_seg: 0.2143 (0.2535) loss_lansim: 0.1121 (0.1217) loss_contra: 0.0098 (0.2212) time: 2.5649 data: 0.0023 max mem: 31654 Epoch: [0] [5190/5278] eta: 0:03:45 lr: 4.8892171259459385e-05 loss: 0.1943 (0.2359) loss_seg: 0.2105 (0.2534) loss_lansim: 0.1121 (0.1217) loss_contra: 0.0098 (0.2209) time: 2.5634 data: 0.0023 max mem: 31654 Epoch: [0] [5200/5278] eta: 0:03:20 lr: 4.8890034452065794e-05 loss: 0.1874 (0.2358) loss_seg: 0.2018 (0.2533) loss_lansim: 0.1113 (0.1217) loss_contra: 0.0079 (0.2205) time: 2.5666 data: 0.0023 max mem: 31654 Epoch: [0] [5210/5278] eta: 0:02:54 lr: 4.8887897634295244e-05 loss: 0.1986 (0.2358) loss_seg: 0.2105 (0.2533) loss_lansim: 0.1074 (0.1216) loss_contra: 0.0079 (0.2201) time: 2.5468 data: 0.0023 max mem: 31654 Epoch: [0] [5220/5278] eta: 0:02:28 lr: 4.8885760806147185e-05 loss: 0.2001 (0.2357) loss_seg: 0.2105 (0.2532) loss_lansim: 0.1058 (0.1216) loss_contra: 0.0079 (0.2199) time: 2.5516 data: 0.0023 max mem: 31654 Epoch: [0] [5230/5278] eta: 0:02:03 lr: 4.8883623967621054e-05 loss: 0.2004 (0.2357) loss_seg: 0.2150 (0.2532) loss_lansim: 0.1066 (0.1216) loss_contra: 0.0069 (0.2195) time: 2.5422 data: 0.0023 max mem: 31654 Epoch: [0] [5240/5278] eta: 0:01:37 lr: 4.888148711871631e-05 loss: 0.2004 (0.2356) loss_seg: 0.2164 (0.2532) loss_lansim: 0.1059 (0.1216) loss_contra: 0.0066 (0.2191) time: 2.5498 data: 0.0024 max mem: 31654 Epoch: [0] [5250/5278] eta: 0:01:11 lr: 4.887935025943239e-05 loss: 0.2037 (0.2356) loss_seg: 0.2209 (0.2531) loss_lansim: 0.1082 (0.1216) loss_contra: 0.0087 (0.2188) time: 2.5476 data: 0.0024 max mem: 31654 Epoch: [0] [5260/5278] eta: 0:00:46 lr: 4.887721338976874e-05 loss: 0.2037 (0.2356) loss_seg: 0.2205 (0.2531) loss_lansim: 0.1068 (0.1216) loss_contra: 0.0087 (0.2184) time: 2.5394 data: 0.0023 max mem: 31654 Epoch: [0] [5270/5278] eta: 0:00:20 lr: 4.88750765097248e-05 loss: 0.2038 (0.2356) loss_seg: 0.2209 (0.2531) loss_lansim: 0.1082 (0.1216) loss_contra: 0.0060 (0.2180) time: 2.5380 data: 0.0023 max mem: 31654 Epoch: [0] Total time: 3:45:37 Test: [ 0/2573] eta: 1:35:06 time: 2.2179 data: 1.9545 max mem: 31654 Test: [ 100/2573] eta: 0:06:40 time: 0.1414 data: 0.0014 max mem: 31654 Test: [ 200/2573] eta: 0:06:07 time: 0.1476 data: 0.0014 max mem: 31654 Test: [ 300/2573] eta: 0:05:42 time: 0.1417 data: 0.0014 max mem: 31654 Test: [ 400/2573] eta: 0:05:23 time: 0.1448 data: 0.0014 max mem: 31654 Test: [ 500/2573] eta: 0:05:07 time: 0.1451 data: 0.0014 max mem: 31654 Test: [ 600/2573] eta: 0:04:52 time: 0.1471 data: 0.0016 max mem: 31654 Test: [ 700/2573] eta: 0:04:38 time: 0.1516 data: 0.0016 max mem: 31654 Test: [ 800/2573] eta: 0:04:23 time: 0.1471 data: 0.0017 max mem: 31654 Test: [ 900/2573] eta: 0:04:08 time: 0.1478 data: 0.0015 max mem: 31654 Test: [1000/2573] eta: 0:03:52 time: 0.1460 data: 0.0016 max mem: 31654 Test: [1100/2573] eta: 0:03:37 time: 0.1446 data: 0.0015 max mem: 31654 Test: [1200/2573] eta: 0:03:22 time: 0.1456 data: 0.0015 max mem: 31654 Test: [1300/2573] eta: 0:03:07 time: 0.1456 data: 0.0016 max mem: 31654 Test: [1400/2573] eta: 0:02:52 time: 0.1416 data: 0.0015 max mem: 31654 Test: [1500/2573] eta: 0:02:37 time: 0.1447 data: 0.0015 max mem: 31654 Test: [1600/2573] eta: 0:02:22 time: 0.1454 data: 0.0016 max mem: 31654 Test: [1700/2573] eta: 0:02:08 time: 0.1452 data: 0.0015 max mem: 31654 Test: [1800/2573] eta: 0:01:53 time: 0.1425 data: 0.0015 max mem: 31654 Test: [1900/2573] eta: 0:01:38 time: 0.1410 data: 0.0015 max mem: 31654 Test: [2000/2573] eta: 0:01:23 time: 0.1411 data: 0.0016 max mem: 31654 Test: [2100/2573] eta: 0:01:08 time: 0.1450 data: 0.0015 max mem: 31654 Test: [2200/2573] eta: 0:00:54 time: 0.1413 data: 0.0014 max mem: 31654 Test: [2300/2573] eta: 0:00:39 time: 0.1445 data: 0.0015 max mem: 31654 Test: [2400/2573] eta: 0:00:25 time: 0.1422 data: 0.0016 max mem: 31654 Test: [2500/2573] eta: 0:00:10 time: 0.1462 data: 0.0016 max mem: 31654 Test: Total time: 0:06:14 /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/numpy/core/fromnumeric.py:3504: RuntimeWarning: Mean of empty slice. return _methods._mean(a, axis=axis, dtype=dtype, /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/numpy/core/_methods.py:129: RuntimeWarning: invalid value encountered in scalar divide ret = ret.dtype.type(ret / rcount) Final results: precision@0.5 = 24.78 precision@0.6 = 18.04 precision@0.7 = 11.64 precision@0.8 = 6.13 precision@0.9 = 1.21 overall IoU = 31.06 mean IoU = 27.23 Average object IoU 0.2722990948323614 Overall IoU 31.058296836668628 Better epoch: 0 /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/numpy/core/fromnumeric.py:3504: RuntimeWarning: Mean of empty slice. return _methods._mean(a, axis=axis, dtype=dtype, /home/chaeyun/.conda/envs/risall/lib/python3.9/site-packages/numpy/core/_methods.py:129: RuntimeWarning: invalid value encountered in scalar divide ret = ret.dtype.type(ret / rcount) The best_performance is 31.058296836668628 Epoch: [1] [ 0/5278] eta: 5:57:51 lr: 4.887336699821547e-05 loss: 0.1628 (0.1628) loss_seg: 0.1808 (0.1808) loss_lansim: 0.1211 (0.1211) loss_contra: 0.0322 (0.0322) time: 4.0681 data: 1.3835 max mem: 31654 Epoch: [1] [ 10/5278] eta: 3:54:27 lr: 4.8871230099485635e-05 loss: 0.1758 (0.1940) loss_seg: 0.1957 (0.2065) loss_lansim: 0.1324 (0.1289) loss_contra: 0.0258 (0.0624) time: 2.6704 data: 0.1281 max mem: 31654 Epoch: [1] [ 20/5278] eta: 3:50:21 lr: 4.886909319037395e-05 loss: 0.1695 (0.1793) loss_seg: 0.1866 (0.1922) loss_lansim: 0.1216 (0.1222) loss_contra: 0.0227 (0.0525) time: 2.6286 data: 0.0682 max mem: 31654 Epoch: [1] [ 30/5278] eta: 3:47:43 lr: 4.886695627087988e-05 loss: 0.1628 (0.1657) loss_seg: 0.1709 (0.1766) loss_lansim: 0.1159 (0.1169) loss_contra: 0.0154 (0.0634) time: 2.6037 data: 0.0470 max mem: 31654 Epoch: [1] [ 40/5278] eta: 3:44:41 lr: 4.886481934100286e-05 loss: 0.1652 (0.1764) loss_seg: 0.1808 (0.1876) loss_lansim: 0.1135 (0.1152) loss_contra: 0.0142 (0.0506) time: 2.5739 data: 0.0362 max mem: 31654 Epoch: [1] [ 50/5278] eta: 3:42:47 lr: 4.886268240074234e-05 loss: 0.1670 (0.1810) loss_seg: 0.1840 (0.1928) loss_lansim: 0.1078 (0.1134) loss_contra: 0.0054 (0.0412) time: 2.5569 data: 0.0295 max mem: 31654 Epoch: [1] [ 60/5278] eta: 3:41:20 lr: 4.886054545009776e-05 loss: 0.1690 (0.1799) loss_seg: 0.1857 (0.1917) loss_lansim: 0.1087 (0.1121) loss_contra: 0.0042 (0.0417) time: 2.5451 data: 0.0251 max mem: 31654 Epoch: [1] [ 70/5278] eta: 3:41:19 lr: 4.885840848906857e-05 loss: 0.1690 (0.1843) loss_seg: 0.1857 (0.1969) loss_lansim: 0.1072 (0.1109) loss_contra: 0.0042 (0.0502) time: 2.5498 data: 0.0219 max mem: 31654 Epoch: [1] [ 80/5278] eta: 3:40:11 lr: 4.8856271517654214e-05 loss: 0.1695 (0.1871) loss_seg: 0.1863 (0.2003) loss_lansim: 0.1067 (0.1097) loss_contra: 0.0042 (0.0466) time: 2.5417 data: 0.0195 max mem: 31654 Epoch: [1] [ 90/5278] eta: 3:39:30 lr: 4.885413453585413e-05 loss: 0.1695 (0.1862) loss_seg: 0.1863 (0.2000) loss_lansim: 0.1067 (0.1096) loss_contra: 0.0043 (0.0451) time: 2.5387 data: 0.0177 max mem: 31654 Epoch: [1] [ 100/5278] eta: 3:38:53 lr: 4.885199754366777e-05 loss: 0.1739 (0.1882) loss_seg: 0.1909 (0.2030) loss_lansim: 0.1067 (0.1093) loss_contra: 0.0038 (0.0423) time: 2.5211 data: 0.0025 max mem: 31654 Epoch: [1] [ 110/5278] eta: 3:37:22 lr: 4.8849860541094586e-05 loss: 0.1784 (0.1910) loss_seg: 0.1910 (0.2052) loss_lansim: 0.1055 (0.1097) loss_contra: 0.0042 (0.0522) time: 2.5077 data: 0.0025 max mem: 31654 Epoch: [1] [ 120/5278] eta: 3:36:48 lr: 4.884772352813401e-05 loss: 0.1772 (0.1880) loss_seg: 0.1909 (0.2023) loss_lansim: 0.1060 (0.1109) loss_contra: 0.0043 (0.0557) time: 2.4997 data: 0.0025 max mem: 31654 Epoch: [1] [ 130/5278] eta: 3:36:06 lr: 4.8845586504785484e-05 loss: 0.1818 (0.1899) loss_seg: 0.1991 (0.2046) loss_lansim: 0.1060 (0.1116) loss_contra: 0.0029 (0.0603) time: 2.4923 data: 0.0025 max mem: 31654 Epoch: [1] [ 140/5278] eta: 3:35:24 lr: 4.884344947104846e-05 loss: 0.1868 (0.1919) loss_seg: 0.2022 (0.2062) loss_lansim: 0.1087 (0.1126) loss_contra: 0.0034 (0.0628) time: 2.4916 data: 0.0025 max mem: 31654 Epoch: [1] [ 150/5278] eta: 3:34:33 lr: 4.884131242692239e-05 loss: 0.1870 (0.1928) loss_seg: 0.2022 (0.2073) loss_lansim: 0.1098 (0.1123) loss_contra: 0.0043 (0.0622) time: 2.4869 data: 0.0025 max mem: 31654 Epoch: [1] [ 160/5278] eta: 3:33:46 lr: 4.88391753724067e-05 loss: 0.1870 (0.1929) loss_seg: 0.2022 (0.2076) loss_lansim: 0.1094 (0.1120) loss_contra: 0.0063 (0.0599) time: 2.4825 data: 0.0024 max mem: 31654 Epoch: [1] [ 170/5278] eta: 3:33:32 lr: 4.883703830750085e-05 loss: 0.1844 (0.1931) loss_seg: 0.2032 (0.2077) loss_lansim: 0.1140 (0.1131) loss_contra: 0.0065 (0.0576) time: 2.4789 data: 0.0024 max mem: 31654 Epoch: [1] [ 180/5278] eta: 3:33:09 lr: 4.883490123220427e-05 loss: 0.1894 (0.1940) loss_seg: 0.2045 (0.2088) loss_lansim: 0.1146 (0.1132) loss_contra: 0.0070 (0.0577) time: 2.4820 data: 0.0024 max mem: 31654 Epoch: [1] [ 190/5278] eta: 3:32:52 lr: 4.883276414651642e-05 loss: 0.1870 (0.1924) loss_seg: 0.2032 (0.2068) loss_lansim: 0.1161 (0.1143) loss_contra: 0.0067 (0.0559) time: 2.4846 data: 0.0024 max mem: 31654 Epoch: [1] [ 200/5278] eta: 3:32:28 lr: 4.883062705043674e-05 loss: 0.1870 (0.1947) loss_seg: 0.2032 (0.2092) loss_lansim: 0.1181 (0.1151) loss_contra: 0.0081 (0.0591) time: 2.4846 data: 0.0024 max mem: 31654 Epoch: [1] [ 210/5278] eta: 3:31:58 lr: 4.8828489943964665e-05 loss: 0.1873 (0.1968) loss_seg: 0.2055 (0.2116) loss_lansim: 0.1182 (0.1155) loss_contra: 0.0067 (0.0571) time: 2.4939 data: 0.0024 max mem: 31654 Epoch: [1] [ 220/5278] eta: 3:31:33 lr: 4.8826352827099646e-05 loss: 0.1924 (0.1970) loss_seg: 0.2107 (0.2121) loss_lansim: 0.1169 (0.1149) loss_contra: 0.0067 (0.0559) time: 2.4944 data: 0.0024 max mem: 31654 Epoch: [1] [ 230/5278] eta: 3:31:01 lr: 4.8824215699841125e-05 loss: 0.1903 (0.1977) loss_seg: 0.2055 (0.2130) loss_lansim: 0.1165 (0.1146) loss_contra: 0.0076 (0.0568) time: 2.4945 data: 0.0025 max mem: 31654 Epoch: [1] [ 240/5278] eta: 3:30:26 lr: 4.8822078562188555e-05 loss: 0.1861 (0.1975) loss_seg: 0.2043 (0.2128) loss_lansim: 0.1161 (0.1145) loss_contra: 0.0081 (0.0556) time: 2.4931 data: 0.0025 max mem: 31654 Epoch: [1] [ 250/5278] eta: 3:30:01 lr: 4.881994141414136e-05 loss: 0.1844 (0.1964) loss_seg: 0.2023 (0.2118) loss_lansim: 0.1156 (0.1142) loss_contra: 0.0079 (0.0554) time: 2.5000 data: 0.0025 max mem: 31654 Epoch: [1] [ 260/5278] eta: 3:29:38 lr: 4.8817804255699e-05 loss: 0.1844 (0.1962) loss_seg: 0.2032 (0.2113) loss_lansim: 0.1165 (0.1143) loss_contra: 0.0069 (0.0542) time: 2.5075 data: 0.0025 max mem: 31654 Epoch: [1] [ 270/5278] eta: 3:29:21 lr: 4.8815667086860915e-05 loss: 0.1924 (0.1966) loss_seg: 0.2045 (0.2119) loss_lansim: 0.1111 (0.1134) loss_contra: 0.0083 (0.0554) time: 2.5083 data: 0.0026 max mem: 31654 Epoch: [1] [ 280/5278] eta: 3:28:48 lr: 4.8813529907626556e-05 loss: 0.1937 (0.1975) loss_seg: 0.2063 (0.2127) loss_lansim: 0.1115 (0.1136) loss_contra: 0.0076 (0.0545) time: 2.5032 data: 0.0026 max mem: 31654 Epoch: [1] [ 290/5278] eta: 3:28:32 lr: 4.8811392717995355e-05 loss: 0.1939 (0.1967) loss_seg: 0.2063 (0.2119) loss_lansim: 0.1101 (0.1134) loss_contra: 0.0076 (0.0541) time: 2.5049 data: 0.0026 max mem: 31654 Epoch: [1] [ 300/5278] eta: 3:27:59 lr: 4.880925551796675e-05 loss: 0.1846 (0.1955) loss_seg: 0.1951 (0.2107) loss_lansim: 0.1070 (0.1138) loss_contra: 0.0076 (0.0534) time: 2.4993 data: 0.0026 max mem: 31654 Epoch: [1] [ 310/5278] eta: 3:27:38 lr: 4.88071183075402e-05 loss: 0.1835 (0.1970) loss_seg: 0.1951 (0.2123) loss_lansim: 0.1041 (0.1136) loss_contra: 0.0067 (0.0523) time: 2.5037 data: 0.0026 max mem: 31654 Epoch: [1] [ 320/5278] eta: 3:26:59 lr: 4.8804981086715146e-05 loss: 0.1789 (0.1975) loss_seg: 0.1935 (0.2127) loss_lansim: 0.1070 (0.1135) loss_contra: 0.0067 (0.0519) time: 2.4945 data: 0.0026 max mem: 31654 Epoch: [1] [ 330/5278] eta: 3:26:38 lr: 4.880284385549103e-05 loss: 0.1835 (0.1971) loss_seg: 0.1935 (0.2123) loss_lansim: 0.1097 (0.1135) loss_contra: 0.0038 (0.0506) time: 2.5001 data: 0.0026 max mem: 31654 Epoch: [1] [ 340/5278] eta: 3:26:15 lr: 4.880070661386728e-05 loss: 0.1846 (0.1967) loss_seg: 0.1935 (0.2119) loss_lansim: 0.1101 (0.1133) loss_contra: 0.0038 (0.0506) time: 2.5058 data: 0.0026 max mem: 31654 Epoch: [1] [ 350/5278] eta: 3:25:47 lr: 4.879856936184336e-05 loss: 0.1924 (0.1964) loss_seg: 0.2050 (0.2116) loss_lansim: 0.1114 (0.1136) loss_contra: 0.0037 (0.0493) time: 2.5035 data: 0.0026 max mem: 31654 Epoch: [1] [ 360/5278] eta: 3:25:19 lr: 4.879643209941872e-05 loss: 0.1924 (0.1967) loss_seg: 0.2051 (0.2119) loss_lansim: 0.1108 (0.1135) loss_contra: 0.0036 (0.0482) time: 2.5006 data: 0.0025 max mem: 31654 Epoch: [1] [ 370/5278] eta: 3:24:58 lr: 4.8794294826592767e-05 loss: 0.1883 (0.1961) loss_seg: 0.1996 (0.2113) loss_lansim: 0.1145 (0.1137) loss_contra: 0.0023 (0.0470) time: 2.4990 data: 0.0025 max mem: 31654 Epoch: [1] [ 380/5278] eta: 3:24:35 lr: 4.879215754336498e-05 loss: 0.1851 (0.1960) loss_seg: 0.1956 (0.2112) loss_lansim: 0.1114 (0.1137) loss_contra: 0.0016 (0.0460) time: 2.5045 data: 0.0025 max mem: 31654 Epoch: [1] [ 390/5278] eta: 3:24:05 lr: 4.879002024973478e-05 loss: 0.1796 (0.1949) loss_seg: 0.1917 (0.2101) loss_lansim: 0.1098 (0.1136) loss_contra: 0.0026 (0.0459) time: 2.4955 data: 0.0025 max mem: 31654 Epoch: [1] [ 400/5278] eta: 3:23:50 lr: 4.878788294570163e-05 loss: 0.1850 (0.1946) loss_seg: 0.1956 (0.2098) loss_lansim: 0.1062 (0.1135) loss_contra: 0.0026 (0.0460) time: 2.5086 data: 0.0025 max mem: 31654 Epoch: [1] [ 410/5278] eta: 3:23:23 lr: 4.878574563126495e-05 loss: 0.1730 (0.1938) loss_seg: 0.1891 (0.2088) loss_lansim: 0.1098 (0.1136) loss_contra: 0.0027 (0.0473) time: 2.5046 data: 0.0025 max mem: 31654 Epoch: [1] [ 420/5278] eta: 3:23:01 lr: 4.87836083064242e-05 loss: 0.1746 (0.1933) loss_seg: 0.1883 (0.2082) loss_lansim: 0.1098 (0.1138) loss_contra: 0.0027 (0.0463) time: 2.5157 data: 0.0025 max mem: 31654 Epoch: [1] [ 430/5278] eta: 3:22:33 lr: 4.878147097117882e-05 loss: 0.1730 (0.1936) loss_seg: 0.1874 (0.2087) loss_lansim: 0.1109 (0.1139) loss_contra: 0.0046 (0.0456) time: 2.5103 data: 0.0025 max mem: 31654 Epoch: [1] [ 440/5278] eta: 3:22:00 lr: 4.877933362552824e-05 loss: 0.1730 (0.1940) loss_seg: 0.1883 (0.2090) loss_lansim: 0.1108 (0.1141) loss_contra: 0.0046 (0.0456) time: 2.5026 data: 0.0024 max mem: 31654 Epoch: [1] [ 450/5278] eta: 3:21:33 lr: 4.8777196269471925e-05 loss: 0.1748 (0.1945) loss_seg: 0.1909 (0.2095) loss_lansim: 0.1144 (0.1149) loss_contra: 0.0056 (0.0451) time: 2.5028 data: 0.0025 max mem: 31654 Epoch: [1] [ 460/5278] eta: 3:21:13 lr: 4.8775058903009294e-05 loss: 0.1748 (0.1946) loss_seg: 0.1917 (0.2097) loss_lansim: 0.1144 (0.1151) loss_contra: 0.0056 (0.0459) time: 2.5094 data: 0.0025 max mem: 31654 Epoch: [1] [ 470/5278] eta: 3:20:56 lr: 4.877292152613981e-05 loss: 0.1760 (0.1946) loss_seg: 0.1949 (0.2098) loss_lansim: 0.1101 (0.1147) loss_contra: 0.0061 (0.0467) time: 2.5143 data: 0.0025 max mem: 31654 Epoch: [1] [ 480/5278] eta: 3:20:26 lr: 4.87707841388629e-05 loss: 0.1787 (0.1952) loss_seg: 0.1949 (0.2103) loss_lansim: 0.1144 (0.1148) loss_contra: 0.0056 (0.0466) time: 2.5077 data: 0.0025 max mem: 31654 Epoch: [1] [ 490/5278] eta: 3:20:05 lr: 4.8768646741178025e-05 loss: 0.1817 (0.1953) loss_seg: 0.2004 (0.2104) loss_lansim: 0.1168 (0.1149) loss_contra: 0.0056 (0.0477) time: 2.5162 data: 0.0025 max mem: 31654 Epoch: [1] [ 500/5278] eta: 3:19:42 lr: 4.8766509333084606e-05 loss: 0.1821 (0.1948) loss_seg: 0.2020 (0.2099) loss_lansim: 0.1168 (0.1149) loss_contra: 0.0056 (0.0479) time: 2.5100 data: 0.0026 max mem: 31654 Epoch: [1] [ 510/5278] eta: 3:19:17 lr: 4.8764371914582094e-05 loss: 0.1869 (0.1943) loss_seg: 0.2021 (0.2094) loss_lansim: 0.1149 (0.1147) loss_contra: 0.0050 (0.0472) time: 2.5119 data: 0.0025 max mem: 31654 Epoch: [1] [ 520/5278] eta: 3:18:48 lr: 4.876223448566994e-05 loss: 0.1887 (0.1949) loss_seg: 0.2092 (0.2102) loss_lansim: 0.1144 (0.1147) loss_contra: 0.0047 (0.0468) time: 2.5057 data: 0.0025 max mem: 31654 Epoch: [1] [ 530/5278] eta: 3:18:24 lr: 4.876009704634758e-05 loss: 0.1884 (0.1943) loss_seg: 0.2089 (0.2096) loss_lansim: 0.1123 (0.1143) loss_contra: 0.0043 (0.0464) time: 2.5096 data: 0.0025 max mem: 31654 Epoch: [1] [ 540/5278] eta: 3:17:54 lr: 4.875795959661445e-05 loss: 0.1887 (0.1950) loss_seg: 0.2092 (0.2101) loss_lansim: 0.1123 (0.1144) loss_contra: 0.0042 (0.0488) time: 2.5106 data: 0.0026 max mem: 31654 Epoch: [1] [ 550/5278] eta: 3:17:34 lr: 4.8755822136469996e-05 loss: 0.1884 (0.1959) loss_seg: 0.2089 (0.2111) loss_lansim: 0.1076 (0.1144) loss_contra: 0.0038 (0.0490) time: 2.5178 data: 0.0025 max mem: 31654 Epoch: [1] [ 560/5278] eta: 3:17:06 lr: 4.8753684665913664e-05 loss: 0.1887 (0.1966) loss_seg: 0.2103 (0.2118) loss_lansim: 0.1108 (0.1143) loss_contra: 0.0043 (0.0512) time: 2.5105 data: 0.0025 max mem: 31654 Epoch: [1] [ 570/5278] eta: 3:16:44 lr: 4.87515471849449e-05 loss: 0.1821 (0.1965) loss_seg: 0.2029 (0.2117) loss_lansim: 0.1108 (0.1140) loss_contra: 0.0046 (0.0512) time: 2.5060 data: 0.0025 max mem: 31654 Epoch: [1] [ 580/5278] eta: 3:16:23 lr: 4.874940969356312e-05 loss: 0.1806 (0.1967) loss_seg: 0.2013 (0.2119) loss_lansim: 0.1081 (0.1140) loss_contra: 0.0066 (0.0513) time: 2.5165 data: 0.0024 max mem: 31654 Epoch: [1] [ 590/5278] eta: 3:16:04 lr: 4.874727219176781e-05 loss: 0.1795 (0.1960) loss_seg: 0.1975 (0.2112) loss_lansim: 0.1056 (0.1136) loss_contra: 0.0072 (0.0519) time: 2.5202 data: 0.0024 max mem: 31654 Epoch: [1] [ 600/5278] eta: 3:15:42 lr: 4.874513467955837e-05 loss: 0.1795 (0.1958) loss_seg: 0.1975 (0.2110) loss_lansim: 0.1012 (0.1132) loss_contra: 0.0077 (0.0514) time: 2.5214 data: 0.0024 max mem: 31654 Epoch: [1] [ 610/5278] eta: 3:15:25 lr: 4.874299715693427e-05 loss: 0.1799 (0.1957) loss_seg: 0.2000 (0.2110) loss_lansim: 0.1003 (0.1130) loss_contra: 0.0056 (0.0514) time: 2.5327 data: 0.0024 max mem: 31654 Epoch: [1] [ 620/5278] eta: 3:14:54 lr: 4.874085962389494e-05 loss: 0.1792 (0.1959) loss_seg: 0.1940 (0.2112) loss_lansim: 0.1006 (0.1129) loss_contra: 0.0072 (0.0512) time: 2.5292 data: 0.0024 max mem: 31654 Epoch: [1] [ 630/5278] eta: 3:14:29 lr: 4.8738722080439814e-05 loss: 0.1799 (0.1955) loss_seg: 0.2000 (0.2108) loss_lansim: 0.1008 (0.1126) loss_contra: 0.0078 (0.0522) time: 2.5281 data: 0.0024 max mem: 31654 Epoch: [1] [ 640/5278] eta: 3:14:08 lr: 4.8736584526568345e-05 loss: 0.1799 (0.1954) loss_seg: 0.1975 (0.2107) loss_lansim: 0.1006 (0.1125) loss_contra: 0.0085 (0.0523) time: 2.5393 data: 0.0024 max mem: 31654 Epoch: [1] [ 650/5278] eta: 3:13:42 lr: 4.873444696227998e-05 loss: 0.1741 (0.1949) loss_seg: 0.1866 (0.2101) loss_lansim: 0.1006 (0.1124) loss_contra: 0.0069 (0.0519) time: 2.5342 data: 0.0024 max mem: 31654 Epoch: [1] [ 660/5278] eta: 3:13:51 lr: 4.873230938757415e-05 loss: 0.1741 (0.1952) loss_seg: 0.1866 (0.2103) loss_lansim: 0.1008 (0.1126) loss_contra: 0.0051 (0.0514) time: 2.5862 data: 0.0024 max mem: 31654 Epoch: [1] [ 670/5278] eta: 3:13:28 lr: 4.8730171802450293e-05 loss: 0.1692 (0.1951) loss_seg: 0.1866 (0.2103) loss_lansim: 0.1006 (0.1124) loss_contra: 0.0056 (0.0510) time: 2.5871 data: 0.0024 max mem: 31654 Epoch: [1] [ 680/5278] eta: 3:13:07 lr: 4.872803420690786e-05 loss: 0.1693 (0.1953) loss_seg: 0.1881 (0.2105) loss_lansim: 0.0986 (0.1122) loss_contra: 0.0050 (0.0507) time: 2.5894 data: 0.0024 max mem: 31654 Epoch: [1] [ 690/5278] eta: 3:12:39 lr: 4.872589660094629e-05 loss: 0.1792 (0.1952) loss_seg: 0.1887 (0.2104) loss_lansim: 0.0993 (0.1121) loss_contra: 0.0047 (0.0506) time: 2.5779 data: 0.0024 max mem: 31654 Epoch: [1] [ 700/5278] eta: 3:12:07 lr: 4.8723758984565024e-05 loss: 0.1741 (0.1950) loss_seg: 0.1887 (0.2101) loss_lansim: 0.1022 (0.1123) loss_contra: 0.0050 (0.0506) time: 2.5655 data: 0.0024 max mem: 31654 Epoch: [1] [ 710/5278] eta: 3:11:41 lr: 4.8721621357763503e-05 loss: 0.1692 (0.1952) loss_seg: 0.1870 (0.2104) loss_lansim: 0.1028 (0.1121) loss_contra: 0.0056 (0.0505) time: 2.5540 data: 0.0024 max mem: 31654 Epoch: [1] [ 720/5278] eta: 3:11:16 lr: 4.871948372054117e-05 loss: 0.1799 (0.1956) loss_seg: 0.1918 (0.2108) loss_lansim: 0.1028 (0.1120) loss_contra: 0.0056 (0.0504) time: 2.5635 data: 0.0024 max mem: 31654 Epoch: [1] [ 730/5278] eta: 3:10:57 lr: 4.871734607289746e-05 loss: 0.1692 (0.1951) loss_seg: 0.1870 (0.2103) loss_lansim: 0.1038 (0.1118) loss_contra: 0.0050 (0.0498) time: 2.5730 data: 0.0024 max mem: 31654 Epoch: [1] [ 740/5278] eta: 3:10:30 lr: 4.871520841483182e-05 loss: 0.1674 (0.1950) loss_seg: 0.1866 (0.2103) loss_lansim: 0.1043 (0.1117) loss_contra: 0.0048 (0.0498) time: 2.5668 data: 0.0024 max mem: 31654 Epoch: [1] [ 750/5278] eta: 3:10:08 lr: 4.8713070746343685e-05 loss: 0.1680 (0.1949) loss_seg: 0.1870 (0.2102) loss_lansim: 0.1024 (0.1115) loss_contra: 0.0048 (0.0494) time: 2.5726 data: 0.0024 max mem: 31654 Epoch: [1] [ 760/5278] eta: 3:09:42 lr: 4.871093306743251e-05 loss: 0.1671 (0.1948) loss_seg: 0.1856 (0.2100) loss_lansim: 0.1022 (0.1115) loss_contra: 0.0069 (0.0505) time: 2.5227 data: 0.0024 max mem: 31654 Epoch: [1] [ 770/5278] eta: 3:09:16 lr: 4.8708795378097716e-05 loss: 0.1754 (0.1950) loss_seg: 0.1895 (0.2103) loss_lansim: 0.1024 (0.1115) loss_contra: 0.0055 (0.0501) time: 2.5192 data: 0.0025 max mem: 31654 Epoch: [1] [ 780/5278] eta: 3:08:56 lr: 4.8706657678338755e-05 loss: 0.1704 (0.1951) loss_seg: 0.1864 (0.2104) loss_lansim: 0.1022 (0.1114) loss_contra: 0.0064 (0.0502) time: 2.5220 data: 0.0025 max mem: 31654 Epoch: [1] [ 790/5278] eta: 3:08:31 lr: 4.8704519968155074e-05 loss: 0.1806 (0.1954) loss_seg: 0.1958 (0.2107) loss_lansim: 0.1022 (0.1113) loss_contra: 0.0069 (0.0499) time: 2.5271 data: 0.0025 max mem: 31654 Epoch: [1] [ 800/5278] eta: 3:08:08 lr: 4.8702382247546104e-05 loss: 0.1840 (0.1956) loss_seg: 0.2020 (0.2109) loss_lansim: 0.1004 (0.1112) loss_contra: 0.0061 (0.0496) time: 2.5416 data: 0.0025 max mem: 31654 Epoch: [1] [ 810/5278] eta: 3:07:40 lr: 4.8700244516511284e-05 loss: 0.1855 (0.1967) loss_seg: 0.2050 (0.2122) loss_lansim: 0.1022 (0.1112) loss_contra: 0.0055 (0.0491) time: 2.5378 data: 0.0025 max mem: 31654 Epoch: [1] [ 820/5278] eta: 3:07:12 lr: 4.8698106775050065e-05 loss: 0.1886 (0.1970) loss_seg: 0.2071 (0.2125) loss_lansim: 0.1043 (0.1115) loss_contra: 0.0061 (0.0487) time: 2.5320 data: 0.0025 max mem: 31654 Epoch: [1] [ 830/5278] eta: 3:06:50 lr: 4.8695969023161877e-05 loss: 0.1886 (0.1964) loss_seg: 0.2063 (0.2119) loss_lansim: 0.1043 (0.1114) loss_contra: 0.0064 (0.0483) time: 2.5299 data: 0.0025 max mem: 31654 Epoch: [1] [ 840/5278] eta: 3:06:27 lr: 4.8693831260846164e-05 loss: 0.1863 (0.1961) loss_seg: 0.2050 (0.2116) loss_lansim: 0.1049 (0.1113) loss_contra: 0.0057 (0.0485) time: 2.5354 data: 0.0025 max mem: 31654 Epoch: [1] [ 850/5278] eta: 3:06:02 lr: 4.869169348810237e-05 loss: 0.1886 (0.1966) loss_seg: 0.2050 (0.2121) loss_lansim: 0.1059 (0.1111) loss_contra: 0.0061 (0.0488) time: 2.5310 data: 0.0025 max mem: 31654 Epoch: [1] [ 860/5278] eta: 3:05:34 lr: 4.8689555704929935e-05 loss: 0.1863 (0.1964) loss_seg: 0.2050 (0.2120) loss_lansim: 0.1049 (0.1110) loss_contra: 0.0049 (0.0483) time: 2.5281 data: 0.0025 max mem: 31654 Epoch: [1] [ 870/5278] eta: 3:05:07 lr: 4.8687417911328295e-05 loss: 0.1887 (0.1966) loss_seg: 0.2050 (0.2123) loss_lansim: 0.1010 (0.1109) loss_contra: 0.0049 (0.0481) time: 2.5245 data: 0.0025 max mem: 31654 Epoch: [1] [ 880/5278] eta: 3:04:39 lr: 4.8685280107296894e-05 loss: 0.1918 (0.1973) loss_seg: 0.2064 (0.2130) loss_lansim: 0.1049 (0.1108) loss_contra: 0.0046 (0.0479) time: 2.5105 data: 0.0024 max mem: 31654 Epoch: [1] [ 890/5278] eta: 3:04:11 lr: 4.868314229283516e-05 loss: 0.1918 (0.1976) loss_seg: 0.2076 (0.2132) loss_lansim: 0.1031 (0.1107) loss_contra: 0.0043 (0.0485) time: 2.5034 data: 0.0024 max mem: 31654 Epoch: [1] [ 900/5278] eta: 3:03:46 lr: 4.868100446794256e-05 loss: 0.1918 (0.1975) loss_seg: 0.2064 (0.2131) loss_lansim: 0.1062 (0.1108) loss_contra: 0.0047 (0.0498) time: 2.5007 data: 0.0024 max mem: 31654 Epoch: [1] [ 910/5278] eta: 3:03:17 lr: 4.8678866632618516e-05 loss: 0.1887 (0.1974) loss_seg: 0.2048 (0.2130) loss_lansim: 0.1031 (0.1108) loss_contra: 0.0053 (0.0499) time: 2.4968 data: 0.0024 max mem: 31654 Epoch: [1] [ 920/5278] eta: 3:02:51 lr: 4.867672878686246e-05 loss: 0.1850 (0.1974) loss_seg: 0.2013 (0.2129) loss_lansim: 0.1022 (0.1109) loss_contra: 0.0056 (0.0506) time: 2.5001 data: 0.0024 max mem: 31654 Epoch: [1] [ 930/5278] eta: 3:02:28 lr: 4.8674590930673855e-05 loss: 0.1861 (0.1971) loss_seg: 0.2048 (0.2126) loss_lansim: 0.1031 (0.1109) loss_contra: 0.0056 (0.0518) time: 2.4979 data: 0.0024 max mem: 31654 Epoch: [1] [ 940/5278] eta: 3:02:00 lr: 4.867245306405212e-05 loss: 0.1850 (0.1967) loss_seg: 0.2013 (0.2122) loss_lansim: 0.1024 (0.1109) loss_contra: 0.0061 (0.0514) time: 2.4890 data: 0.0024 max mem: 31654 Epoch: [1] [ 950/5278] eta: 3:01:34 lr: 4.867031518699671e-05 loss: 0.1849 (0.1966) loss_seg: 0.1996 (0.2120) loss_lansim: 0.1031 (0.1109) loss_contra: 0.0061 (0.0521) time: 2.4852 data: 0.0024 max mem: 31654 Epoch: [1] [ 960/5278] eta: 3:01:06 lr: 4.866817729950705e-05 loss: 0.1849 (0.1964) loss_seg: 0.1996 (0.2118) loss_lansim: 0.1057 (0.1108) loss_contra: 0.0068 (0.0530) time: 2.4851 data: 0.0024 max mem: 31654 Epoch: [1] [ 970/5278] eta: 3:00:39 lr: 4.8666039401582594e-05 loss: 0.1801 (0.1966) loss_seg: 0.1969 (0.2120) loss_lansim: 0.1057 (0.1108) loss_contra: 0.0061 (0.0527) time: 2.4843 data: 0.0025 max mem: 31654 Epoch: [1] [ 980/5278] eta: 3:00:14 lr: 4.866390149322277e-05 loss: 0.1801 (0.1974) loss_seg: 0.1969 (0.2129) loss_lansim: 0.1039 (0.1107) loss_contra: 0.0070 (0.0526) time: 2.4881 data: 0.0025 max mem: 31654 Epoch: [1] [ 990/5278] eta: 2:59:47 lr: 4.866176357442703e-05 loss: 0.1782 (0.1970) loss_seg: 0.1875 (0.2125) loss_lansim: 0.1080 (0.1109) loss_contra: 0.0073 (0.0531) time: 2.4905 data: 0.0025 max mem: 31654 Epoch: [1] [1000/5278] eta: 2:59:21 lr: 4.86596256451948e-05 loss: 0.1793 (0.1976) loss_seg: 0.1948 (0.2131) loss_lansim: 0.1044 (0.1109) loss_contra: 0.0070 (0.0537) time: 2.4871 data: 0.0025 max mem: 31654 Epoch: [1] [1010/5278] eta: 2:58:58 lr: 4.8657487705525527e-05 loss: 0.1697 (0.1975) loss_seg: 0.1868 (0.2130) loss_lansim: 0.1069 (0.1108) loss_contra: 0.0131 (0.0546) time: 2.5012 data: 0.0025 max mem: 31654 Epoch: [1] [1020/5278] eta: 2:58:32 lr: 4.865534975541865e-05 loss: 0.1782 (0.1974) loss_seg: 0.1875 (0.2130) loss_lansim: 0.1069 (0.1109) loss_contra: 0.0095 (0.0545) time: 2.5000 data: 0.0025 max mem: 31654 Epoch: [1] [1030/5278] eta: 2:58:07 lr: 4.8653211794873614e-05 loss: 0.1793 (0.1973) loss_seg: 0.1893 (0.2129) loss_lansim: 0.1044 (0.1108) loss_contra: 0.0131 (0.0553) time: 2.4962 data: 0.0025 max mem: 31654 Epoch: [1] [1040/5278] eta: 2:57:39 lr: 4.865107382388985e-05 loss: 0.1833 (0.1972) loss_seg: 0.1969 (0.2127) loss_lansim: 0.1045 (0.1110) loss_contra: 0.0139 (0.0551) time: 2.4950 data: 0.0025 max mem: 31654 Epoch: [1] [1050/5278] eta: 2:57:13 lr: 4.86489358424668e-05 loss: 0.1826 (0.1972) loss_seg: 0.1978 (0.2127) loss_lansim: 0.1080 (0.1111) loss_contra: 0.0095 (0.0550) time: 2.4946 data: 0.0025 max mem: 31654 Epoch: [1] [1060/5278] eta: 2:56:48 lr: 4.86467978506039e-05 loss: 0.1823 (0.1970) loss_seg: 0.1905 (0.2125) loss_lansim: 0.1093 (0.1111) loss_contra: 0.0079 (0.0546) time: 2.5002 data: 0.0025 max mem: 31654 Epoch: [1] [1070/5278] eta: 2:56:20 lr: 4.8644659848300596e-05 loss: 0.1833 (0.1969) loss_seg: 0.1905 (0.2124) loss_lansim: 0.1105 (0.1111) loss_contra: 0.0080 (0.0543) time: 2.4973 data: 0.0025 max mem: 31654 Epoch: [1] [1080/5278] eta: 2:55:56 lr: 4.864252183555632e-05 loss: 0.1855 (0.1972) loss_seg: 0.1908 (0.2127) loss_lansim: 0.1135 (0.1111) loss_contra: 0.0065 (0.0538) time: 2.4998 data: 0.0025 max mem: 31654 Epoch: [1] [1090/5278] eta: 2:55:34 lr: 4.864038381237052e-05 loss: 0.1867 (0.1972) loss_seg: 0.1992 (0.2128) loss_lansim: 0.1115 (0.1111) loss_contra: 0.0061 (0.0540) time: 2.5114 data: 0.0025 max mem: 31654 Epoch: [1] [1100/5278] eta: 2:55:11 lr: 4.8638245778742625e-05 loss: 0.1855 (0.1974) loss_seg: 0.1992 (0.2131) loss_lansim: 0.1093 (0.1109) loss_contra: 0.0057 (0.0538) time: 2.5201 data: 0.0025 max mem: 31654 Epoch: [1] [1110/5278] eta: 2:54:45 lr: 4.863610773467208e-05 loss: 0.1924 (0.1976) loss_seg: 0.2041 (0.2133) loss_lansim: 0.1069 (0.1109) loss_contra: 0.0051 (0.0536) time: 2.5122 data: 0.0025 max mem: 31654 Epoch: [1] [1120/5278] eta: 2:54:22 lr: 4.8633969680158326e-05 loss: 0.1867 (0.1972) loss_seg: 0.1992 (0.2129) loss_lansim: 0.1045 (0.1107) loss_contra: 0.0043 (0.0540) time: 2.5195 data: 0.0025 max mem: 31654 Epoch: [1] [1130/5278] eta: 2:53:56 lr: 4.86318316152008e-05 loss: 0.1875 (0.1971) loss_seg: 0.2011 (0.2129) loss_lansim: 0.1101 (0.1108) loss_contra: 0.0052 (0.0551) time: 2.5181 data: 0.0025 max mem: 31654 Epoch: [1] [1140/5278] eta: 2:53:32 lr: 4.862969353979893e-05 loss: 0.1803 (0.1966) loss_seg: 0.1912 (0.2123) loss_lansim: 0.1101 (0.1109) loss_contra: 0.0052 (0.0548) time: 2.5263 data: 0.0026 max mem: 31654 Epoch: [1] [1150/5278] eta: 2:53:04 lr: 4.8627555453952175e-05 loss: 0.1824 (0.1970) loss_seg: 0.2003 (0.2127) loss_lansim: 0.1080 (0.1109) loss_contra: 0.0052 (0.0544) time: 2.5236 data: 0.0026 max mem: 31654 Epoch: [1] [1160/5278] eta: 2:52:39 lr: 4.862541735765995e-05 loss: 0.1832 (0.1971) loss_seg: 0.2003 (0.2128) loss_lansim: 0.1074 (0.1109) loss_contra: 0.0051 (0.0540) time: 2.5228 data: 0.0026 max mem: 31654 Epoch: [1] [1170/5278] eta: 2:52:14 lr: 4.8623279250921715e-05 loss: 0.1839 (0.1977) loss_seg: 0.2042 (0.2134) loss_lansim: 0.1101 (0.1110) loss_contra: 0.0042 (0.0536) time: 2.5291 data: 0.0026 max mem: 31654 Epoch: [1] [1180/5278] eta: 2:51:49 lr: 4.86211411337369e-05 loss: 0.1824 (0.1977) loss_seg: 0.2003 (0.2135) loss_lansim: 0.1138 (0.1113) loss_contra: 0.0057 (0.0543) time: 2.5283 data: 0.0026 max mem: 31654 Epoch: [1] [1190/5278] eta: 2:51:26 lr: 4.8619003006104944e-05 loss: 0.1824 (0.1978) loss_seg: 0.1937 (0.2135) loss_lansim: 0.1137 (0.1113) loss_contra: 0.0051 (0.0544) time: 2.5280 data: 0.0026 max mem: 31654 Epoch: [1] [1200/5278] eta: 2:51:01 lr: 4.8616864868025283e-05 loss: 0.1800 (0.1978) loss_seg: 0.1927 (0.2135) loss_lansim: 0.1145 (0.1114) loss_contra: 0.0051 (0.0546) time: 2.5217 data: 0.0025 max mem: 31654 Epoch: [1] [1210/5278] eta: 2:50:35 lr: 4.861472671949736e-05 loss: 0.1800 (0.1980) loss_seg: 0.1927 (0.2138) loss_lansim: 0.1153 (0.1114) loss_contra: 0.0057 (0.0547) time: 2.5192 data: 0.0025 max mem: 31654 Epoch: [1] [1220/5278] eta: 2:50:07 lr: 4.861258856052061e-05 loss: 0.1863 (0.1986) loss_seg: 0.2031 (0.2143) loss_lansim: 0.1172 (0.1115) loss_contra: 0.0057 (0.0553) time: 2.5077 data: 0.0025 max mem: 31654 Epoch: [1] [1230/5278] eta: 2:49:40 lr: 4.861045039109447e-05 loss: 0.1863 (0.1985) loss_seg: 0.2031 (0.2144) loss_lansim: 0.1182 (0.1115) loss_contra: 0.0051 (0.0551) time: 2.5025 data: 0.0025 max mem: 31654 Epoch: [1] [1240/5278] eta: 2:49:17 lr: 4.8608312211218385e-05 loss: 0.1938 (0.1985) loss_seg: 0.2066 (0.2143) loss_lansim: 0.1205 (0.1116) loss_contra: 0.0048 (0.0550) time: 2.5053 data: 0.0025 max mem: 31654 Epoch: [1] [1250/5278] eta: 2:48:52 lr: 4.860617402089178e-05 loss: 0.1907 (0.1985) loss_seg: 0.2052 (0.2142) loss_lansim: 0.1192 (0.1116) loss_contra: 0.0049 (0.0553) time: 2.5142 data: 0.0025 max mem: 31654 Epoch: [1] [1260/5278] eta: 2:48:28 lr: 4.8604035820114105e-05 loss: 0.1978 (0.1985) loss_seg: 0.2078 (0.2143) loss_lansim: 0.1190 (0.1116) loss_contra: 0.0055 (0.0558) time: 2.5172 data: 0.0025 max mem: 31654 Epoch: [1] [1270/5278] eta: 2:48:04 lr: 4.86018976088848e-05 loss: 0.1885 (0.1982) loss_seg: 0.2014 (0.2139) loss_lansim: 0.1190 (0.1117) loss_contra: 0.0076 (0.0560) time: 2.5209 data: 0.0025 max mem: 31654 Epoch: [1] [1280/5278] eta: 2:47:39 lr: 4.85997593872033e-05 loss: 0.1907 (0.1982) loss_seg: 0.2014 (0.2139) loss_lansim: 0.1137 (0.1117) loss_contra: 0.0070 (0.0559) time: 2.5211 data: 0.0025 max mem: 31654 Epoch: [1] [1290/5278] eta: 2:47:15 lr: 4.8597621155069027e-05 loss: 0.1883 (0.1981) loss_seg: 0.1988 (0.2138) loss_lansim: 0.1124 (0.1117) loss_contra: 0.0074 (0.0556) time: 2.5174 data: 0.0025 max mem: 31654 Epoch: [1] [1300/5278] eta: 2:46:48 lr: 4.8595482912481445e-05 loss: 0.1858 (0.1979) loss_seg: 0.1971 (0.2136) loss_lansim: 0.1124 (0.1117) loss_contra: 0.0074 (0.0558) time: 2.5111 data: 0.0025 max mem: 31654 Epoch: [1] [1310/5278] eta: 2:46:25 lr: 4.859334465943997e-05 loss: 0.1821 (0.1978) loss_seg: 0.1949 (0.2135) loss_lansim: 0.1078 (0.1116) loss_contra: 0.0055 (0.0556) time: 2.5206 data: 0.0025 max mem: 31654 Epoch: [1] [1320/5278] eta: 2:45:56 lr: 4.859120639594405e-05 loss: 0.1750 (0.1980) loss_seg: 0.1863 (0.2136) loss_lansim: 0.1078 (0.1116) loss_contra: 0.0054 (0.0556) time: 2.5159 data: 0.0025 max mem: 31654 Epoch: [1] [1330/5278] eta: 2:45:32 lr: 4.858906812199313e-05 loss: 0.1791 (0.1981) loss_seg: 0.1869 (0.2138) loss_lansim: 0.1072 (0.1116) loss_contra: 0.0036 (0.0556) time: 2.5264 data: 0.0025 max mem: 31654 Epoch: [1] [1340/5278] eta: 2:45:07 lr: 4.858692983758664e-05 loss: 0.1799 (0.1980) loss_seg: 0.1951 (0.2138) loss_lansim: 0.1061 (0.1117) loss_contra: 0.0033 (0.0553) time: 2.5227 data: 0.0025 max mem: 31654 Epoch: [1] [1350/5278] eta: 2:44:41 lr: 4.8584791542724006e-05 loss: 0.1799 (0.1980) loss_seg: 0.1953 (0.2138) loss_lansim: 0.1060 (0.1116) loss_contra: 0.0020 (0.0550) time: 2.5178 data: 0.0025 max mem: 31654 Epoch: [1] [1360/5278] eta: 2:44:17 lr: 4.858265323740468e-05 loss: 0.1799 (0.1980) loss_seg: 0.1953 (0.2138) loss_lansim: 0.1063 (0.1116) loss_contra: 0.0020 (0.0547) time: 2.5165 data: 0.0025 max mem: 31654 Epoch: [1] [1370/5278] eta: 2:43:53 lr: 4.858051492162811e-05 loss: 0.1803 (0.1979) loss_seg: 0.1991 (0.2138) loss_lansim: 0.1049 (0.1116) loss_contra: 0.0019 (0.0545) time: 2.5172 data: 0.0024 max mem: 31654 Epoch: [1] [1380/5278] eta: 2:43:29 lr: 4.85783765953937e-05 loss: 0.1795 (0.1978) loss_seg: 0.1953 (0.2136) loss_lansim: 0.1046 (0.1115) loss_contra: 0.0019 (0.0543) time: 2.5206 data: 0.0024 max mem: 31654 Epoch: [1] [1390/5278] eta: 2:43:03 lr: 4.857623825870092e-05 loss: 0.1802 (0.1979) loss_seg: 0.1974 (0.2137) loss_lansim: 0.1063 (0.1115) loss_contra: 0.0020 (0.0542) time: 2.5146 data: 0.0024 max mem: 31654 Epoch: [1] [1400/5278] eta: 2:42:38 lr: 4.857409991154918e-05 loss: 0.1799 (0.1979) loss_seg: 0.1972 (0.2137) loss_lansim: 0.1060 (0.1114) loss_contra: 0.0015 (0.0539) time: 2.5197 data: 0.0025 max mem: 31654 Epoch: [1] [1410/5278] eta: 2:42:12 lr: 4.857196155393795e-05 loss: 0.1803 (0.1981) loss_seg: 0.1991 (0.2139) loss_lansim: 0.1063 (0.1114) loss_contra: 0.0010 (0.0537) time: 2.5120 data: 0.0024 max mem: 31654 Epoch: [1] [1420/5278] eta: 2:41:46 lr: 4.8569823185866635e-05 loss: 0.1799 (0.1978) loss_seg: 0.1959 (0.2136) loss_lansim: 0.1057 (0.1114) loss_contra: 0.0010 (0.0535) time: 2.5232 data: 0.0025 max mem: 31654 Epoch: [1] [1430/5278] eta: 2:41:21 lr: 4.856768480733469e-05 loss: 0.1762 (0.1976) loss_seg: 0.1864 (0.2134) loss_lansim: 0.1057 (0.1114) loss_contra: 0.0010 (0.0532) time: 2.5184 data: 0.0024 max mem: 31654 Epoch: [1] [1440/5278] eta: 2:40:56 lr: 4.856554641834155e-05 loss: 0.1718 (0.1978) loss_seg: 0.1864 (0.2136) loss_lansim: 0.1068 (0.1115) loss_contra: 0.0010 (0.0531) time: 2.5188 data: 0.0024 max mem: 31654 Epoch: [1] [1450/5278] eta: 2:40:29 lr: 4.856340801888665e-05 loss: 0.1731 (0.1978) loss_seg: 0.1853 (0.2136) loss_lansim: 0.1070 (0.1115) loss_contra: 0.0010 (0.0529) time: 2.5139 data: 0.0024 max mem: 31654 Epoch: [1] [1460/5278] eta: 2:40:05 lr: 4.8561269608969425e-05 loss: 0.1761 (0.1982) loss_seg: 0.1853 (0.2141) loss_lansim: 0.1046 (0.1114) loss_contra: 0.0014 (0.0527) time: 2.5162 data: 0.0024 max mem: 31654 Epoch: [1] [1470/5278] eta: 2:39:39 lr: 4.8559131188589316e-05 loss: 0.1667 (0.1981) loss_seg: 0.1776 (0.2139) loss_lansim: 0.1079 (0.1115) loss_contra: 0.0021 (0.0527) time: 2.5093 data: 0.0025 max mem: 31654 Epoch: [1] [1480/5278] eta: 2:39:16 lr: 4.855699275774575e-05 loss: 0.1761 (0.1984) loss_seg: 0.1864 (0.2143) loss_lansim: 0.1083 (0.1115) loss_contra: 0.0022 (0.0528) time: 2.5128 data: 0.0024 max mem: 31654 Epoch: [1] [1490/5278] eta: 2:38:49 lr: 4.855485431643818e-05 loss: 0.1768 (0.1983) loss_seg: 0.1918 (0.2141) loss_lansim: 0.1082 (0.1115) loss_contra: 0.0021 (0.0525) time: 2.5072 data: 0.0024 max mem: 31654 Epoch: [1] [1500/5278] eta: 2:38:25 lr: 4.855271586466603e-05 loss: 0.1805 (0.1984) loss_seg: 0.1964 (0.2142) loss_lansim: 0.1088 (0.1116) loss_contra: 0.0025 (0.0530) time: 2.5130 data: 0.0024 max mem: 31654 Epoch: [1] [1510/5278] eta: 2:37:58 lr: 4.855057740242874e-05 loss: 0.1798 (0.1983) loss_seg: 0.1956 (0.2141) loss_lansim: 0.1088 (0.1116) loss_contra: 0.0029 (0.0529) time: 2.5084 data: 0.0024 max mem: 31654 Epoch: [1] [1520/5278] eta: 2:37:33 lr: 4.8548438929725746e-05 loss: 0.1836 (0.1984) loss_seg: 0.1986 (0.2143) loss_lansim: 0.1083 (0.1116) loss_contra: 0.0031 (0.0530) time: 2.5095 data: 0.0024 max mem: 31654 Epoch: [1] [1530/5278] eta: 2:37:10 lr: 4.8546300446556495e-05 loss: 0.1836 (0.1982) loss_seg: 0.1986 (0.2141) loss_lansim: 0.1077 (0.1115) loss_contra: 0.0028 (0.0530) time: 2.5180 data: 0.0024 max mem: 31654 Epoch: [1] [1540/5278] eta: 2:36:46 lr: 4.854416195292041e-05 loss: 0.1798 (0.1984) loss_seg: 0.1979 (0.2143) loss_lansim: 0.1077 (0.1116) loss_contra: 0.0029 (0.0528) time: 2.5190 data: 0.0024 max mem: 31654 Epoch: [1] [1550/5278] eta: 2:36:20 lr: 4.8542023448816934e-05 loss: 0.1798 (0.1983) loss_seg: 0.1973 (0.2141) loss_lansim: 0.1083 (0.1117) loss_contra: 0.0043 (0.0526) time: 2.5254 data: 0.0024 max mem: 31654 Epoch: [1] [1560/5278] eta: 2:35:57 lr: 4.8539884934245495e-05 loss: 0.1853 (0.1986) loss_seg: 0.1986 (0.2145) loss_lansim: 0.1088 (0.1117) loss_contra: 0.0043 (0.0524) time: 2.5292 data: 0.0024 max mem: 31654 Epoch: [1] [1570/5278] eta: 2:35:31 lr: 4.853774640920554e-05 loss: 0.1853 (0.1986) loss_seg: 0.2003 (0.2145) loss_lansim: 0.1106 (0.1118) loss_contra: 0.0043 (0.0526) time: 2.5306 data: 0.0024 max mem: 31654 Epoch: [1] [1580/5278] eta: 2:35:05 lr: 4.8535607873696497e-05 loss: 0.1836 (0.1987) loss_seg: 0.2003 (0.2146) loss_lansim: 0.1077 (0.1117) loss_contra: 0.0042 (0.0524) time: 2.5201 data: 0.0024 max mem: 31654 Epoch: [1] [1590/5278] eta: 2:34:40 lr: 4.853346932771781e-05 loss: 0.1773 (0.1985) loss_seg: 0.1973 (0.2144) loss_lansim: 0.1076 (0.1117) loss_contra: 0.0040 (0.0523) time: 2.5288 data: 0.0025 max mem: 31654 Epoch: [1] [1600/5278] eta: 2:34:15 lr: 4.853133077126891e-05 loss: 0.1772 (0.1983) loss_seg: 0.1936 (0.2143) loss_lansim: 0.1076 (0.1117) loss_contra: 0.0039 (0.0528) time: 2.5225 data: 0.0025 max mem: 31654 Epoch: [1] [1610/5278] eta: 2:33:48 lr: 4.852919220434924e-05 loss: 0.1734 (0.1980) loss_seg: 0.1904 (0.2140) loss_lansim: 0.1083 (0.1117) loss_contra: 0.0029 (0.0526) time: 2.5226 data: 0.0025 max mem: 31654 Epoch: [1] [1620/5278] eta: 2:33:23 lr: 4.852705362695822e-05 loss: 0.1734 (0.1981) loss_seg: 0.1904 (0.2140) loss_lansim: 0.1105 (0.1118) loss_contra: 0.0031 (0.0524) time: 2.5232 data: 0.0026 max mem: 31654 Epoch: [1] [1630/5278] eta: 2:33:00 lr: 4.8524915039095295e-05 loss: 0.1826 (0.1981) loss_seg: 0.2035 (0.2141) loss_lansim: 0.1105 (0.1118) loss_contra: 0.0029 (0.0520) time: 2.5216 data: 0.0026 max mem: 31654 Epoch: [1] [1640/5278] eta: 2:32:34 lr: 4.8522776440759906e-05 loss: 0.1802 (0.1979) loss_seg: 0.1973 (0.2138) loss_lansim: 0.1083 (0.1118) loss_contra: 0.0031 (0.0524) time: 2.5188 data: 0.0026 max mem: 31654 Epoch: [1] [1650/5278] eta: 2:32:08 lr: 4.85206378319515e-05 loss: 0.1802 (0.1980) loss_seg: 0.1946 (0.2139) loss_lansim: 0.1078 (0.1119) loss_contra: 0.0029 (0.0523) time: 2.5145 data: 0.0026 max mem: 31654 Epoch: [1] [1660/5278] eta: 2:31:43 lr: 4.8518499212669485e-05 loss: 0.1701 (0.1978) loss_seg: 0.1848 (0.2137) loss_lansim: 0.1063 (0.1118) loss_contra: 0.0030 (0.0528) time: 2.5051 data: 0.0026 max mem: 31654 Epoch: [1] [1670/5278] eta: 2:31:17 lr: 4.851636058291331e-05 loss: 0.1674 (0.1976) loss_seg: 0.1808 (0.2135) loss_lansim: 0.1034 (0.1117) loss_contra: 0.0028 (0.0525) time: 2.5070 data: 0.0026 max mem: 31654 Epoch: [1] [1680/5278] eta: 2:30:53 lr: 4.851422194268241e-05 loss: 0.1674 (0.1975) loss_seg: 0.1808 (0.2134) loss_lansim: 0.1026 (0.1117) loss_contra: 0.0028 (0.0527) time: 2.5147 data: 0.0026 max mem: 31654 Epoch: [1] [1690/5278] eta: 2:30:29 lr: 4.851208329197622e-05 loss: 0.1678 (0.1973) loss_seg: 0.1809 (0.2132) loss_lansim: 0.1025 (0.1116) loss_contra: 0.0030 (0.0527) time: 2.5173 data: 0.0026 max mem: 31654 Epoch: [1] [1700/5278] eta: 2:30:03 lr: 4.850994463079418e-05 loss: 0.1677 (0.1971) loss_seg: 0.1800 (0.2130) loss_lansim: 0.1022 (0.1116) loss_contra: 0.0032 (0.0532) time: 2.5147 data: 0.0025 max mem: 31654 Epoch: [1] [1710/5278] eta: 2:29:37 lr: 4.8507805959135715e-05 loss: 0.1701 (0.1971) loss_seg: 0.1809 (0.2129) loss_lansim: 0.1025 (0.1116) loss_contra: 0.0040 (0.0536) time: 2.5198 data: 0.0026 max mem: 31654 Epoch: [1] [1720/5278] eta: 2:29:13 lr: 4.850566727700028e-05 loss: 0.1701 (0.1972) loss_seg: 0.1808 (0.2131) loss_lansim: 0.1022 (0.1117) loss_contra: 0.0038 (0.0539) time: 2.5243 data: 0.0025 max mem: 31654 Epoch: [1] [1730/5278] eta: 2:28:48 lr: 4.8503528584387286e-05 loss: 0.1701 (0.1973) loss_seg: 0.1788 (0.2132) loss_lansim: 0.1046 (0.1118) loss_contra: 0.0076 (0.0543) time: 2.5177 data: 0.0025 max mem: 31654 Epoch: [1] [1740/5278] eta: 2:28:24 lr: 4.850138988129619e-05 loss: 0.1723 (0.1973) loss_seg: 0.1863 (0.2131) loss_lansim: 0.1116 (0.1118) loss_contra: 0.0040 (0.0546) time: 2.5241 data: 0.0025 max mem: 31654 Epoch: [1] [1750/5278] eta: 2:27:59 lr: 4.849925116772641e-05 loss: 0.1724 (0.1972) loss_seg: 0.1867 (0.2130) loss_lansim: 0.1116 (0.1119) loss_contra: 0.0047 (0.0546) time: 2.5267 data: 0.0025 max mem: 31654 Epoch: [1] [1760/5278] eta: 2:27:35 lr: 4.849711244367739e-05 loss: 0.1723 (0.1971) loss_seg: 0.1867 (0.2129) loss_lansim: 0.1127 (0.1119) loss_contra: 0.0047 (0.0544) time: 2.5340 data: 0.0025 max mem: 31654 Epoch: [1] [1770/5278] eta: 2:27:10 lr: 4.849497370914857e-05 loss: 0.1742 (0.1970) loss_seg: 0.1873 (0.2128) loss_lansim: 0.1135 (0.1119) loss_contra: 0.0040 (0.0544) time: 2.5344 data: 0.0024 max mem: 31654 Epoch: [1] [1780/5278] eta: 2:26:45 lr: 4.849283496413937e-05 loss: 0.1727 (0.1969) loss_seg: 0.1867 (0.2127) loss_lansim: 0.1139 (0.1118) loss_contra: 0.0061 (0.0547) time: 2.5312 data: 0.0025 max mem: 31654 Epoch: [1] [1790/5278] eta: 2:26:20 lr: 4.849069620864924e-05 loss: 0.1782 (0.1970) loss_seg: 0.1917 (0.2128) loss_lansim: 0.1149 (0.1119) loss_contra: 0.0061 (0.0546) time: 2.5282 data: 0.0025 max mem: 31654 Epoch: [1] [1800/5278] eta: 2:25:55 lr: 4.848855744267761e-05 loss: 0.1807 (0.1974) loss_seg: 0.1947 (0.2132) loss_lansim: 0.1174 (0.1119) loss_contra: 0.0029 (0.0546) time: 2.5365 data: 0.0025 max mem: 31654 Epoch: [1] [1810/5278] eta: 2:25:32 lr: 4.848641866622391e-05 loss: 0.1807 (0.1973) loss_seg: 0.1947 (0.2131) loss_lansim: 0.1174 (0.1119) loss_contra: 0.0047 (0.0545) time: 2.5468 data: 0.0025 max mem: 31654 Epoch: [1] [1820/5278] eta: 2:25:07 lr: 4.8484279879287584e-05 loss: 0.1782 (0.1971) loss_seg: 0.1917 (0.2129) loss_lansim: 0.1169 (0.1120) loss_contra: 0.0061 (0.0546) time: 2.5429 data: 0.0025 max mem: 31654 Epoch: [1] [1830/5278] eta: 2:24:41 lr: 4.848214108186806e-05 loss: 0.1745 (0.1971) loss_seg: 0.1917 (0.2129) loss_lansim: 0.1148 (0.1120) loss_contra: 0.0074 (0.0547) time: 2.5415 data: 0.0025 max mem: 31654 Epoch: [1] [1840/5278] eta: 2:24:16 lr: 4.848000227396477e-05 loss: 0.1759 (0.1972) loss_seg: 0.1922 (0.2129) loss_lansim: 0.1137 (0.1121) loss_contra: 0.0055 (0.0545) time: 2.5362 data: 0.0025 max mem: 31654 Epoch: [1] [1850/5278] eta: 2:23:51 lr: 4.8477863455577156e-05 loss: 0.1745 (0.1969) loss_seg: 0.1910 (0.2127) loss_lansim: 0.1119 (0.1121) loss_contra: 0.0044 (0.0542) time: 2.5386 data: 0.0025 max mem: 31654 Epoch: [1] [1860/5278] eta: 2:23:24 lr: 4.8475724626704654e-05 loss: 0.1759 (0.1970) loss_seg: 0.1943 (0.2128) loss_lansim: 0.1137 (0.1122) loss_contra: 0.0044 (0.0543) time: 2.5241 data: 0.0025 max mem: 31654 Epoch: [1] [1870/5278] eta: 2:23:00 lr: 4.847358578734669e-05 loss: 0.1749 (0.1969) loss_seg: 0.1922 (0.2127) loss_lansim: 0.1136 (0.1122) loss_contra: 0.0044 (0.0541) time: 2.5318 data: 0.0025 max mem: 31654 Epoch: [1] [1880/5278] eta: 2:22:34 lr: 4.8471446937502704e-05 loss: 0.1889 (0.1972) loss_seg: 0.1944 (0.2131) loss_lansim: 0.1125 (0.1122) loss_contra: 0.0055 (0.0539) time: 2.5253 data: 0.0025 max mem: 31654 Epoch: [1] [1890/5278] eta: 2:22:09 lr: 4.846930807717213e-05 loss: 0.1889 (0.1972) loss_seg: 0.1944 (0.2130) loss_lansim: 0.1125 (0.1122) loss_contra: 0.0034 (0.0537) time: 2.5234 data: 0.0025 max mem: 31654 Epoch: [1] [1900/5278] eta: 2:21:44 lr: 4.84671692063544e-05 loss: 0.1717 (0.1971) loss_seg: 0.1894 (0.2129) loss_lansim: 0.1124 (0.1122) loss_contra: 0.0028 (0.0534) time: 2.5195 data: 0.0025 max mem: 31654 Epoch: [1] [1910/5278] eta: 2:21:18 lr: 4.8465030325048954e-05 loss: 0.1715 (0.1969) loss_seg: 0.1872 (0.2127) loss_lansim: 0.1154 (0.1123) loss_contra: 0.0028 (0.0535) time: 2.5099 data: 0.0025 max mem: 31654 Epoch: [1] [1920/5278] eta: 2:20:53 lr: 4.846289143325522e-05 loss: 0.1757 (0.1970) loss_seg: 0.1910 (0.2128) loss_lansim: 0.1148 (0.1123) loss_contra: 0.0021 (0.0533) time: 2.5053 data: 0.0025 max mem: 31654 Epoch: [1] [1930/5278] eta: 2:20:28 lr: 4.846075253097263e-05 loss: 0.1757 (0.1971) loss_seg: 0.1894 (0.2129) loss_lansim: 0.1124 (0.1122) loss_contra: 0.0015 (0.0531) time: 2.5101 data: 0.0025 max mem: 31654 Epoch: [1] [1940/5278] eta: 2:20:02 lr: 4.845861361820063e-05 loss: 0.1735 (0.1970) loss_seg: 0.1891 (0.2129) loss_lansim: 0.1124 (0.1122) loss_contra: 0.0018 (0.0530) time: 2.5059 data: 0.0024 max mem: 31654 Epoch: [1] [1950/5278] eta: 2:19:37 lr: 4.845647469493865e-05 loss: 0.1774 (0.1973) loss_seg: 0.1969 (0.2132) loss_lansim: 0.1124 (0.1122) loss_contra: 0.0014 (0.0530) time: 2.5074 data: 0.0024 max mem: 31654 Epoch: [1] [1960/5278] eta: 2:19:12 lr: 4.8454335761186114e-05 loss: 0.1772 (0.1973) loss_seg: 0.1963 (0.2132) loss_lansim: 0.1114 (0.1123) loss_contra: 0.0015 (0.0531) time: 2.5161 data: 0.0024 max mem: 31654 Epoch: [1] [1970/5278] eta: 2:18:46 lr: 4.845219681694246e-05 loss: 0.1780 (0.1974) loss_seg: 0.1984 (0.2132) loss_lansim: 0.1098 (0.1122) loss_contra: 0.0022 (0.0530) time: 2.5036 data: 0.0024 max mem: 31654 Epoch: [1] [1980/5278] eta: 2:18:20 lr: 4.845005786220713e-05 loss: 0.1757 (0.1973) loss_seg: 0.1941 (0.2131) loss_lansim: 0.1124 (0.1123) loss_contra: 0.0018 (0.0531) time: 2.5009 data: 0.0024 max mem: 31654 Epoch: [1] [1990/5278] eta: 2:17:54 lr: 4.844791889697956e-05 loss: 0.1762 (0.1972) loss_seg: 0.1941 (0.2131) loss_lansim: 0.1124 (0.1123) loss_contra: 0.0030 (0.0531) time: 2.5006 data: 0.0024 max mem: 31654 Epoch: [1] [2000/5278] eta: 2:17:29 lr: 4.844577992125917e-05 loss: 0.1780 (0.1972) loss_seg: 0.1963 (0.2131) loss_lansim: 0.1124 (0.1123) loss_contra: 0.0034 (0.0529) time: 2.4972 data: 0.0024 max mem: 31654 Epoch: [1] [2010/5278] eta: 2:17:05 lr: 4.84436409350454e-05 loss: 0.1859 (0.1973) loss_seg: 0.2025 (0.2131) loss_lansim: 0.1114 (0.1123) loss_contra: 0.0032 (0.0530) time: 2.5049 data: 0.0024 max mem: 31654 Epoch: [1] [2020/5278] eta: 2:16:39 lr: 4.844150193833768e-05 loss: 0.1843 (0.1971) loss_seg: 0.1963 (0.2129) loss_lansim: 0.1084 (0.1123) loss_contra: 0.0050 (0.0531) time: 2.5078 data: 0.0024 max mem: 31654 Epoch: [1] [2030/5278] eta: 2:16:15 lr: 4.843936293113546e-05 loss: 0.1806 (0.1971) loss_seg: 0.1951 (0.2129) loss_lansim: 0.1124 (0.1123) loss_contra: 0.0035 (0.0533) time: 2.5077 data: 0.0024 max mem: 31654 Epoch: [1] [2040/5278] eta: 2:15:50 lr: 4.843722391343815e-05 loss: 0.1783 (0.1971) loss_seg: 0.1951 (0.2129) loss_lansim: 0.1084 (0.1123) loss_contra: 0.0028 (0.0530) time: 2.5137 data: 0.0024 max mem: 31654 Epoch: [1] [2050/5278] eta: 2:15:25 lr: 4.8435084885245195e-05 loss: 0.1806 (0.1972) loss_seg: 0.1941 (0.2130) loss_lansim: 0.1071 (0.1122) loss_contra: 0.0026 (0.0528) time: 2.5159 data: 0.0024 max mem: 31654 Epoch: [1] [2060/5278] eta: 2:15:01 lr: 4.843294584655603e-05 loss: 0.1740 (0.1969) loss_seg: 0.1887 (0.2128) loss_lansim: 0.1066 (0.1122) loss_contra: 0.0019 (0.0526) time: 2.5183 data: 0.0024 max mem: 31654 Epoch: [1] [2070/5278] eta: 2:14:36 lr: 4.843080679737009e-05 loss: 0.1760 (0.1972) loss_seg: 0.1887 (0.2131) loss_lansim: 0.1066 (0.1121) loss_contra: 0.0015 (0.0524) time: 2.5241 data: 0.0024 max mem: 31654 Epoch: [1] [2080/5278] eta: 2:14:11 lr: 4.8428667737686803e-05 loss: 0.1760 (0.1971) loss_seg: 0.1901 (0.2130) loss_lansim: 0.1040 (0.1121) loss_contra: 0.0019 (0.0523) time: 2.5358 data: 0.0024 max mem: 31654 Epoch: [1] [2090/5278] eta: 2:13:47 lr: 4.842652866750561e-05 loss: 0.1736 (0.1971) loss_seg: 0.1901 (0.2129) loss_lansim: 0.1040 (0.1121) loss_contra: 0.0019 (0.0523) time: 2.5420 data: 0.0024 max mem: 31654 Epoch: [1] [2100/5278] eta: 2:13:21 lr: 4.842438958682593e-05 loss: 0.1736 (0.1969) loss_seg: 0.1872 (0.2128) loss_lansim: 0.1039 (0.1121) loss_contra: 0.0028 (0.0523) time: 2.5416 data: 0.0024 max mem: 31654 Epoch: [1] [2110/5278] eta: 2:12:56 lr: 4.842225049564721e-05 loss: 0.1678 (0.1969) loss_seg: 0.1843 (0.2127) loss_lansim: 0.1025 (0.1120) loss_contra: 0.0034 (0.0522) time: 2.5373 data: 0.0025 max mem: 31654 Epoch: [1] [2120/5278] eta: 2:12:30 lr: 4.842011139396888e-05 loss: 0.1741 (0.1969) loss_seg: 0.1901 (0.2127) loss_lansim: 0.1026 (0.1119) loss_contra: 0.0027 (0.0521) time: 2.5325 data: 0.0025 max mem: 31654 Epoch: [1] [2130/5278] eta: 2:12:05 lr: 4.841797228179037e-05 loss: 0.1710 (0.1967) loss_seg: 0.1867 (0.2125) loss_lansim: 0.0995 (0.1119) loss_contra: 0.0022 (0.0519) time: 2.5295 data: 0.0025 max mem: 31654 Epoch: [1] [2140/5278] eta: 2:11:40 lr: 4.8415833159111116e-05 loss: 0.1710 (0.1966) loss_seg: 0.1867 (0.2124) loss_lansim: 0.1001 (0.1118) loss_contra: 0.0034 (0.0517) time: 2.5271 data: 0.0025 max mem: 31654 Epoch: [1] [2150/5278] eta: 2:11:15 lr: 4.841369402593054e-05 loss: 0.1678 (0.1966) loss_seg: 0.1867 (0.2125) loss_lansim: 0.0972 (0.1117) loss_contra: 0.0036 (0.0518) time: 2.5250 data: 0.0025 max mem: 31654 Epoch: [1] [2160/5278] eta: 2:10:51 lr: 4.8411554882248095e-05 loss: 0.1754 (0.1967) loss_seg: 0.1927 (0.2126) loss_lansim: 0.0989 (0.1117) loss_contra: 0.0056 (0.0519) time: 2.5309 data: 0.0025 max mem: 31654 Epoch: [1] [2170/5278] eta: 2:10:25 lr: 4.84094157280632e-05 loss: 0.1743 (0.1967) loss_seg: 0.1927 (0.2126) loss_lansim: 0.1001 (0.1117) loss_contra: 0.0052 (0.0516) time: 2.5269 data: 0.0025 max mem: 31654 Epoch: [1] [2180/5278] eta: 2:10:00 lr: 4.840727656337529e-05 loss: 0.1805 (0.1968) loss_seg: 0.1957 (0.2127) loss_lansim: 0.1021 (0.1117) loss_contra: 0.0043 (0.0515) time: 2.5196 data: 0.0025 max mem: 31654 Epoch: [1] [2190/5278] eta: 2:09:35 lr: 4.840513738818379e-05 loss: 0.1760 (0.1967) loss_seg: 0.1930 (0.2126) loss_lansim: 0.1017 (0.1118) loss_contra: 0.0030 (0.0513) time: 2.5210 data: 0.0026 max mem: 31654 Epoch: [1] [2200/5278] eta: 2:09:10 lr: 4.840299820248815e-05 loss: 0.1789 (0.1967) loss_seg: 0.1930 (0.2126) loss_lansim: 0.1017 (0.1118) loss_contra: 0.0029 (0.0512) time: 2.5272 data: 0.0026 max mem: 31654 Epoch: [1] [2210/5278] eta: 2:08:45 lr: 4.84008590062878e-05 loss: 0.1789 (0.1965) loss_seg: 0.1938 (0.2124) loss_lansim: 0.1017 (0.1118) loss_contra: 0.0026 (0.0514) time: 2.5220 data: 0.0026 max mem: 31654 Epoch: [1] [2220/5278] eta: 2:08:19 lr: 4.8398719799582155e-05 loss: 0.1789 (0.1966) loss_seg: 0.1925 (0.2124) loss_lansim: 0.1001 (0.1117) loss_contra: 0.0027 (0.0514) time: 2.5237 data: 0.0025 max mem: 31654 Epoch: [1] [2230/5278] eta: 2:07:54 lr: 4.839658058237066e-05 loss: 0.1838 (0.1966) loss_seg: 0.1994 (0.2124) loss_lansim: 0.1026 (0.1117) loss_contra: 0.0026 (0.0512) time: 2.5264 data: 0.0025 max mem: 31654 Epoch: [1] [2240/5278] eta: 2:07:29 lr: 4.839444135465275e-05 loss: 0.1870 (0.1966) loss_seg: 0.1994 (0.2125) loss_lansim: 0.1047 (0.1118) loss_contra: 0.0023 (0.0511) time: 2.5210 data: 0.0025 max mem: 31654 Epoch: [1] [2250/5278] eta: 2:07:04 lr: 4.839230211642785e-05 loss: 0.1805 (0.1965) loss_seg: 0.1938 (0.2124) loss_lansim: 0.1047 (0.1117) loss_contra: 0.0026 (0.0510) time: 2.5222 data: 0.0025 max mem: 31654 Epoch: [1] [2260/5278] eta: 2:06:40 lr: 4.8390162867695393e-05 loss: 0.1789 (0.1966) loss_seg: 0.1920 (0.2125) loss_lansim: 0.1035 (0.1116) loss_contra: 0.0026 (0.0508) time: 2.5252 data: 0.0025 max mem: 31654 Epoch: [1] [2270/5278] eta: 2:06:14 lr: 4.8388023608454816e-05 loss: 0.1787 (0.1966) loss_seg: 0.1909 (0.2125) loss_lansim: 0.1035 (0.1116) loss_contra: 0.0026 (0.0506) time: 2.5227 data: 0.0025 max mem: 31654 Epoch: [1] [2280/5278] eta: 2:05:50 lr: 4.8385884338705555e-05 loss: 0.1789 (0.1969) loss_seg: 0.1920 (0.2128) loss_lansim: 0.1023 (0.1116) loss_contra: 0.0027 (0.0507) time: 2.5356 data: 0.0025 max mem: 31654 Epoch: [1] [2290/5278] eta: 2:05:25 lr: 4.8383745058447034e-05 loss: 0.1903 (0.1969) loss_seg: 0.2029 (0.2129) loss_lansim: 0.1011 (0.1115) loss_contra: 0.0040 (0.0506) time: 2.5283 data: 0.0025 max mem: 31654 Epoch: [1] [2300/5278] eta: 2:05:00 lr: 4.8381605767678684e-05 loss: 0.1787 (0.1967) loss_seg: 0.1920 (0.2127) loss_lansim: 0.0999 (0.1115) loss_contra: 0.0034 (0.0504) time: 2.5277 data: 0.0025 max mem: 31654 Epoch: [1] [2310/5278] eta: 2:04:36 lr: 4.837946646639994e-05 loss: 0.1858 (0.1966) loss_seg: 0.1920 (0.2126) loss_lansim: 0.1011 (0.1115) loss_contra: 0.0029 (0.0502) time: 2.5386 data: 0.0025 max mem: 31654 Epoch: [1] [2320/5278] eta: 2:04:10 lr: 4.837732715461024e-05 loss: 0.1733 (0.1964) loss_seg: 0.1901 (0.2124) loss_lansim: 0.1021 (0.1114) loss_contra: 0.0027 (0.0500) time: 2.5405 data: 0.0025 max mem: 31654 Epoch: [1] [2330/5278] eta: 2:03:45 lr: 4.8375187832309e-05 loss: 0.1726 (0.1963) loss_seg: 0.1890 (0.2123) loss_lansim: 0.1021 (0.1114) loss_contra: 0.0034 (0.0499) time: 2.5372 data: 0.0025 max mem: 31654 Epoch: [1] [2340/5278] eta: 2:03:20 lr: 4.837304849949568e-05 loss: 0.1689 (0.1962) loss_seg: 0.1819 (0.2122) loss_lansim: 0.0999 (0.1114) loss_contra: 0.0034 (0.0498) time: 2.5429 data: 0.0025 max mem: 31654 Epoch: [1] [2350/5278] eta: 2:02:54 lr: 4.837090915616967e-05 loss: 0.1703 (0.1963) loss_seg: 0.1819 (0.2122) loss_lansim: 0.1023 (0.1113) loss_contra: 0.0029 (0.0497) time: 2.5318 data: 0.0025 max mem: 31654 Epoch: [1] [2360/5278] eta: 2:02:29 lr: 4.836876980233045e-05 loss: 0.1689 (0.1962) loss_seg: 0.1801 (0.2122) loss_lansim: 0.1023 (0.1113) loss_contra: 0.0029 (0.0502) time: 2.5239 data: 0.0025 max mem: 31654 Epoch: [1] [2370/5278] eta: 2:02:03 lr: 4.8366630437977414e-05 loss: 0.1631 (0.1962) loss_seg: 0.1789 (0.2121) loss_lansim: 0.1035 (0.1114) loss_contra: 0.0033 (0.0500) time: 2.5247 data: 0.0025 max mem: 31654 Epoch: [1] [2380/5278] eta: 2:01:37 lr: 4.836449106311001e-05 loss: 0.1606 (0.1962) loss_seg: 0.1748 (0.2121) loss_lansim: 0.1055 (0.1114) loss_contra: 0.0034 (0.0501) time: 2.5096 data: 0.0025 max mem: 31654 Epoch: [1] [2390/5278] eta: 2:01:12 lr: 4.836235167772766e-05 loss: 0.1617 (0.1962) loss_seg: 0.1753 (0.2121) loss_lansim: 0.1064 (0.1114) loss_contra: 0.0031 (0.0506) time: 2.5092 data: 0.0025 max mem: 31654 Epoch: [1] [2400/5278] eta: 2:00:45 lr: 4.83602122818298e-05 loss: 0.1689 (0.1962) loss_seg: 0.1801 (0.2121) loss_lansim: 0.1080 (0.1114) loss_contra: 0.0038 (0.0505) time: 2.4970 data: 0.0025 max mem: 31654 Epoch: [1] [2410/5278] eta: 2:00:20 lr: 4.835807287541588e-05 loss: 0.1735 (0.1963) loss_seg: 0.1889 (0.2122) loss_lansim: 0.1097 (0.1115) loss_contra: 0.0044 (0.0505) time: 2.4894 data: 0.0025 max mem: 31654 Epoch: [1] [2420/5278] eta: 1:59:55 lr: 4.83559334584853e-05 loss: 0.1806 (0.1963) loss_seg: 0.1939 (0.2122) loss_lansim: 0.1088 (0.1114) loss_contra: 0.0047 (0.0507) time: 2.4913 data: 0.0025 max mem: 31654 Epoch: [1] [2430/5278] eta: 1:59:30 lr: 4.835379403103751e-05 loss: 0.1875 (0.1964) loss_seg: 0.2005 (0.2123) loss_lansim: 0.1097 (0.1114) loss_contra: 0.0047 (0.0508) time: 2.4956 data: 0.0025 max mem: 31654 Epoch: [1] [2440/5278] eta: 1:59:05 lr: 4.835165459307194e-05 loss: 0.1875 (0.1961) loss_seg: 0.1984 (0.2120) loss_lansim: 0.1110 (0.1115) loss_contra: 0.0060 (0.0507) time: 2.4891 data: 0.0025 max mem: 31654 Epoch: [1] [2450/5278] eta: 1:58:39 lr: 4.834951514458802e-05 loss: 0.1806 (0.1961) loss_seg: 0.1969 (0.2120) loss_lansim: 0.1121 (0.1115) loss_contra: 0.0087 (0.0507) time: 2.4990 data: 0.0025 max mem: 31654 Epoch: [1] [2460/5278] eta: 1:58:14 lr: 4.834737568558517e-05 loss: 0.1802 (0.1960) loss_seg: 0.1949 (0.2119) loss_lansim: 0.1135 (0.1115) loss_contra: 0.0059 (0.0506) time: 2.4922 data: 0.0025 max mem: 31654 Epoch: [1] [2470/5278] eta: 1:57:48 lr: 4.834523621606284e-05 loss: 0.1775 (0.1959) loss_seg: 0.1933 (0.2118) loss_lansim: 0.1104 (0.1115) loss_contra: 0.0054 (0.0506) time: 2.4938 data: 0.0025 max mem: 31654 Epoch: [1] [2480/5278] eta: 1:57:24 lr: 4.834309673602044e-05 loss: 0.1784 (0.1957) loss_seg: 0.1939 (0.2116) loss_lansim: 0.1099 (0.1115) loss_contra: 0.0059 (0.0505) time: 2.5074 data: 0.0024 max mem: 31654 Epoch: [1] [2490/5278] eta: 1:56:59 lr: 4.834095724545743e-05 loss: 0.1784 (0.1958) loss_seg: 0.1933 (0.2117) loss_lansim: 0.1104 (0.1114) loss_contra: 0.0079 (0.0504) time: 2.5122 data: 0.0025 max mem: 31654 Epoch: [1] [2500/5278] eta: 1:56:35 lr: 4.833881774437322e-05 loss: 0.1759 (0.1957) loss_seg: 0.1916 (0.2116) loss_lansim: 0.1104 (0.1114) loss_contra: 0.0050 (0.0504) time: 2.5262 data: 0.0025 max mem: 31654 Epoch: [1] [2510/5278] eta: 1:56:10 lr: 4.833667823276723e-05 loss: 0.1741 (0.1959) loss_seg: 0.1889 (0.2118) loss_lansim: 0.1019 (0.1114) loss_contra: 0.0050 (0.0505) time: 2.5308 data: 0.0025 max mem: 31654 Epoch: [1] [2520/5278] eta: 1:55:44 lr: 4.833453871063892e-05 loss: 0.1738 (0.1959) loss_seg: 0.1887 (0.2118) loss_lansim: 0.1115 (0.1114) loss_contra: 0.0066 (0.0511) time: 2.5266 data: 0.0025 max mem: 31654 Epoch: [1] [2530/5278] eta: 1:55:19 lr: 4.83323991779877e-05 loss: 0.1669 (0.1957) loss_seg: 0.1823 (0.2117) loss_lansim: 0.1072 (0.1114) loss_contra: 0.0062 (0.0515) time: 2.5222 data: 0.0025 max mem: 31654 Epoch: [1] [2540/5278] eta: 1:54:55 lr: 4.8330259634813005e-05 loss: 0.1669 (0.1956) loss_seg: 0.1811 (0.2116) loss_lansim: 0.1028 (0.1113) loss_contra: 0.0042 (0.0514) time: 2.5374 data: 0.0025 max mem: 31654 Epoch: [1] [2550/5278] eta: 1:54:29 lr: 4.8328120081114264e-05 loss: 0.1657 (0.1955) loss_seg: 0.1783 (0.2115) loss_lansim: 0.1029 (0.1113) loss_contra: 0.0042 (0.0516) time: 2.5299 data: 0.0026 max mem: 31654 Epoch: [1] [2560/5278] eta: 1:54:05 lr: 4.8325980516890916e-05 loss: 0.1661 (0.1955) loss_seg: 0.1783 (0.2114) loss_lansim: 0.1029 (0.1113) loss_contra: 0.0061 (0.0517) time: 2.5396 data: 0.0025 max mem: 31654 Epoch: [1] [2570/5278] eta: 1:53:39 lr: 4.832384094214239e-05 loss: 0.1657 (0.1955) loss_seg: 0.1758 (0.2114) loss_lansim: 0.1047 (0.1114) loss_contra: 0.0081 (0.0521) time: 2.5428 data: 0.0025 max mem: 31654 Epoch: [1] [2580/5278] eta: 1:53:14 lr: 4.8321701356868104e-05 loss: 0.1657 (0.1955) loss_seg: 0.1756 (0.2114) loss_lansim: 0.1045 (0.1113) loss_contra: 0.0061 (0.0520) time: 2.5340 data: 0.0025 max mem: 31654 Epoch: [1] [2590/5278] eta: 1:52:49 lr: 4.83195617610675e-05 loss: 0.1669 (0.1956) loss_seg: 0.1744 (0.2115) loss_lansim: 0.1036 (0.1113) loss_contra: 0.0060 (0.0521) time: 2.5352 data: 0.0025 max mem: 31654 Epoch: [1] [2600/5278] eta: 1:52:25 lr: 4.831742215474e-05 loss: 0.1721 (0.1956) loss_seg: 0.1796 (0.2115) loss_lansim: 0.1047 (0.1113) loss_contra: 0.0062 (0.0519) time: 2.5399 data: 0.0025 max mem: 31654 Epoch: [1] [2610/5278] eta: 1:52:00 lr: 4.831528253788505e-05 loss: 0.1669 (0.1955) loss_seg: 0.1785 (0.2114) loss_lansim: 0.1036 (0.1112) loss_contra: 0.0059 (0.0518) time: 2.5365 data: 0.0025 max mem: 31654 Epoch: [1] [2620/5278] eta: 1:51:34 lr: 4.8313142910502066e-05 loss: 0.1721 (0.1956) loss_seg: 0.1785 (0.2115) loss_lansim: 0.1030 (0.1113) loss_contra: 0.0041 (0.0517) time: 2.5293 data: 0.0025 max mem: 31654 Epoch: [1] [2630/5278] eta: 1:51:09 lr: 4.831100327259048e-05 loss: 0.1729 (0.1955) loss_seg: 0.1785 (0.2113) loss_lansim: 0.1057 (0.1113) loss_contra: 0.0042 (0.0518) time: 2.5312 data: 0.0025 max mem: 31654 Epoch: [1] [2640/5278] eta: 1:50:43 lr: 4.830886362414973e-05 loss: 0.1734 (0.1954) loss_seg: 0.1879 (0.2113) loss_lansim: 0.1068 (0.1113) loss_contra: 0.0060 (0.0517) time: 2.5225 data: 0.0025 max mem: 31654 Epoch: [1] [2650/5278] eta: 1:50:19 lr: 4.8306723965179236e-05 loss: 0.1762 (0.1954) loss_seg: 0.1879 (0.2113) loss_lansim: 0.1089 (0.1113) loss_contra: 0.0051 (0.0516) time: 2.5325 data: 0.0025 max mem: 31654 Epoch: [1] [2660/5278] eta: 1:49:53 lr: 4.830458429567843e-05 loss: 0.1762 (0.1953) loss_seg: 0.1875 (0.2112) loss_lansim: 0.1094 (0.1114) loss_contra: 0.0042 (0.0515) time: 2.5213 data: 0.0025 max mem: 31654 Epoch: [1] [2670/5278] eta: 1:49:28 lr: 4.830244461564675e-05 loss: 0.1733 (0.1952) loss_seg: 0.1875 (0.2110) loss_lansim: 0.1085 (0.1114) loss_contra: 0.0041 (0.0513) time: 2.5205 data: 0.0025 max mem: 31654 Epoch: [1] [2680/5278] eta: 1:49:03 lr: 4.8300304925083605e-05 loss: 0.1733 (0.1952) loss_seg: 0.1875 (0.2111) loss_lansim: 0.1094 (0.1114) loss_contra: 0.0053 (0.0513) time: 2.5220 data: 0.0025 max mem: 31654 Epoch: [1] [2690/5278] eta: 1:48:37 lr: 4.829816522398845e-05 loss: 0.1695 (0.1950) loss_seg: 0.1781 (0.2109) loss_lansim: 0.1112 (0.1114) loss_contra: 0.0042 (0.0512) time: 2.5089 data: 0.0025 max mem: 31654 Epoch: [1] [2700/5278] eta: 1:48:11 lr: 4.829602551236071e-05 loss: 0.1713 (0.1950) loss_seg: 0.1785 (0.2109) loss_lansim: 0.1088 (0.1113) loss_contra: 0.0036 (0.0512) time: 2.4980 data: 0.0024 max mem: 31654 Epoch: [1] [2710/5278] eta: 1:47:46 lr: 4.82938857901998e-05 loss: 0.1733 (0.1950) loss_seg: 0.1855 (0.2108) loss_lansim: 0.1091 (0.1113) loss_contra: 0.0042 (0.0511) time: 2.4976 data: 0.0024 max mem: 31654 Epoch: [1] [2720/5278] eta: 1:47:20 lr: 4.829174605750516e-05 loss: 0.1756 (0.1951) loss_seg: 0.1868 (0.2109) loss_lansim: 0.1085 (0.1113) loss_contra: 0.0053 (0.0510) time: 2.4945 data: 0.0024 max mem: 31654 Epoch: [1] [2730/5278] eta: 1:46:55 lr: 4.8289606314276216e-05 loss: 0.1728 (0.1949) loss_seg: 0.1855 (0.2108) loss_lansim: 0.1074 (0.1113) loss_contra: 0.0042 (0.0509) time: 2.4947 data: 0.0024 max mem: 31654 Epoch: [1] [2740/5278] eta: 1:46:30 lr: 4.8287466560512406e-05 loss: 0.1785 (0.1950) loss_seg: 0.1907 (0.2108) loss_lansim: 0.1067 (0.1112) loss_contra: 0.0032 (0.0508) time: 2.4965 data: 0.0024 max mem: 31654 Epoch: [1] [2750/5278] eta: 1:46:04 lr: 4.828532679621315e-05 loss: 0.1786 (0.1950) loss_seg: 0.1907 (0.2108) loss_lansim: 0.1051 (0.1112) loss_contra: 0.0036 (0.0508) time: 2.4909 data: 0.0024 max mem: 31654 Epoch: [1] [2760/5278] eta: 1:45:39 lr: 4.8283187021377875e-05 loss: 0.1804 (0.1950) loss_seg: 0.1930 (0.2108) loss_lansim: 0.1040 (0.1112) loss_contra: 0.0038 (0.0507) time: 2.4935 data: 0.0024 max mem: 31654 Epoch: [1] [2770/5278] eta: 1:45:14 lr: 4.8281047236006014e-05 loss: 0.1809 (0.1950) loss_seg: 0.1936 (0.2108) loss_lansim: 0.1025 (0.1112) loss_contra: 0.0038 (0.0506) time: 2.4955 data: 0.0024 max mem: 31654 Epoch: [1] [2780/5278] eta: 1:44:49 lr: 4.827890744009701e-05 loss: 0.1809 (0.1949) loss_seg: 0.1936 (0.2107) loss_lansim: 0.1039 (0.1112) loss_contra: 0.0031 (0.0504) time: 2.4966 data: 0.0024 max mem: 31654 Epoch: [1] [2790/5278] eta: 1:44:24 lr: 4.827676763365027e-05 loss: 0.1809 (0.1949) loss_seg: 0.1923 (0.2108) loss_lansim: 0.1039 (0.1112) loss_contra: 0.0031 (0.0503) time: 2.5078 data: 0.0024 max mem: 31654 Epoch: [1] [2800/5278] eta: 1:43:58 lr: 4.827462781666524e-05 loss: 0.1728 (0.1948) loss_seg: 0.1862 (0.2107) loss_lansim: 0.1039 (0.1112) loss_contra: 0.0036 (0.0503) time: 2.5019 data: 0.0025 max mem: 31654 Epoch: [1] [2810/5278] eta: 1:43:32 lr: 4.827248798914133e-05 loss: 0.1734 (0.1949) loss_seg: 0.1868 (0.2107) loss_lansim: 0.1040 (0.1112) loss_contra: 0.0031 (0.0502) time: 2.4947 data: 0.0025 max mem: 31654 Epoch: [1] [2820/5278] eta: 1:43:07 lr: 4.8270348151078e-05 loss: 0.1670 (0.1948) loss_seg: 0.1846 (0.2106) loss_lansim: 0.1046 (0.1112) loss_contra: 0.0031 (0.0500) time: 2.5043 data: 0.0025 max mem: 31654 Epoch: [1] [2830/5278] eta: 1:42:42 lr: 4.826820830247465e-05 loss: 0.1679 (0.1947) loss_seg: 0.1845 (0.2106) loss_lansim: 0.1047 (0.1112) loss_contra: 0.0022 (0.0498) time: 2.5063 data: 0.0025 max mem: 31654 Epoch: [1] [2840/5278] eta: 1:42:16 lr: 4.826606844333072e-05 loss: 0.1652 (0.1946) loss_seg: 0.1807 (0.2104) loss_lansim: 0.1046 (0.1112) loss_contra: 0.0022 (0.0497) time: 2.5001 data: 0.0025 max mem: 31654 Epoch: [1] [2850/5278] eta: 1:41:51 lr: 4.826392857364563e-05 loss: 0.1670 (0.1946) loss_seg: 0.1834 (0.2104) loss_lansim: 0.1047 (0.1112) loss_contra: 0.0022 (0.0497) time: 2.5002 data: 0.0025 max mem: 31654 Epoch: [1] [2860/5278] eta: 1:41:26 lr: 4.826178869341883e-05 loss: 0.1652 (0.1944) loss_seg: 0.1792 (0.2102) loss_lansim: 0.1065 (0.1112) loss_contra: 0.0018 (0.0496) time: 2.5009 data: 0.0025 max mem: 31654 Epoch: [1] [2870/5278] eta: 1:40:59 lr: 4.825964880264973e-05 loss: 0.1656 (0.1946) loss_seg: 0.1807 (0.2104) loss_lansim: 0.1047 (0.1112) loss_contra: 0.0022 (0.0497) time: 2.4875 data: 0.0025 max mem: 31654 Epoch: [1] [2880/5278] eta: 1:40:35 lr: 4.825750890133776e-05 loss: 0.1697 (0.1947) loss_seg: 0.1831 (0.2105) loss_lansim: 0.1036 (0.1111) loss_contra: 0.0018 (0.0497) time: 2.4916 data: 0.0024 max mem: 31654 Epoch: [1] [2890/5278] eta: 1:40:09 lr: 4.825536898948235e-05 loss: 0.1714 (0.1949) loss_seg: 0.1879 (0.2108) loss_lansim: 0.1038 (0.1111) loss_contra: 0.0016 (0.0498) time: 2.4864 data: 0.0024 max mem: 31654 Epoch: [1] [2900/5278] eta: 1:39:45 lr: 4.8253229067082936e-05 loss: 0.1725 (0.1949) loss_seg: 0.1893 (0.2107) loss_lansim: 0.1023 (0.1112) loss_contra: 0.0014 (0.0499) time: 2.5003 data: 0.0024 max mem: 31654 Epoch: [1] [2910/5278] eta: 1:39:20 lr: 4.825108913413895e-05 loss: 0.1709 (0.1949) loss_seg: 0.1879 (0.2107) loss_lansim: 0.1038 (0.1112) loss_contra: 0.0014 (0.0498) time: 2.5115 data: 0.0024 max mem: 31654 Epoch: [1] [2920/5278] eta: 1:38:54 lr: 4.824894919064981e-05 loss: 0.1706 (0.1948) loss_seg: 0.1859 (0.2106) loss_lansim: 0.1023 (0.1112) loss_contra: 0.0015 (0.0500) time: 2.5089 data: 0.0024 max mem: 31654 Epoch: [1] [2930/5278] eta: 1:38:29 lr: 4.824680923661494e-05 loss: 0.1714 (0.1948) loss_seg: 0.1891 (0.2106) loss_lansim: 0.1038 (0.1113) loss_contra: 0.0022 (0.0500) time: 2.5052 data: 0.0024 max mem: 31654 Epoch: [1] [2940/5278] eta: 1:38:04 lr: 4.824466927203377e-05 loss: 0.1854 (0.1949) loss_seg: 0.1912 (0.2107) loss_lansim: 0.1023 (0.1112) loss_contra: 0.0022 (0.0498) time: 2.5088 data: 0.0024 max mem: 31654 Epoch: [1] [2950/5278] eta: 1:37:39 lr: 4.824252929690574e-05 loss: 0.1758 (0.1949) loss_seg: 0.1903 (0.2107) loss_lansim: 0.1023 (0.1112) loss_contra: 0.0021 (0.0498) time: 2.5139 data: 0.0024 max mem: 31654 Epoch: [1] [2960/5278] eta: 1:37:14 lr: 4.824038931123027e-05 loss: 0.1752 (0.1948) loss_seg: 0.1903 (0.2106) loss_lansim: 0.1012 (0.1111) loss_contra: 0.0026 (0.0498) time: 2.5134 data: 0.0024 max mem: 31654 Epoch: [1] [2970/5278] eta: 1:36:48 lr: 4.823824931500679e-05 loss: 0.1735 (0.1950) loss_seg: 0.1912 (0.2108) loss_lansim: 0.1020 (0.1111) loss_contra: 0.0029 (0.0499) time: 2.5203 data: 0.0024 max mem: 31654 Epoch: [1] [2980/5278] eta: 1:36:23 lr: 4.823610930823473e-05 loss: 0.1727 (0.1949) loss_seg: 0.1859 (0.2108) loss_lansim: 0.1023 (0.1111) loss_contra: 0.0037 (0.0501) time: 2.5199 data: 0.0024 max mem: 31654 Epoch: [1] [2990/5278] eta: 1:35:58 lr: 4.8233969290913514e-05 loss: 0.1727 (0.1950) loss_seg: 0.1859 (0.2108) loss_lansim: 0.1048 (0.1111) loss_contra: 0.0053 (0.0502) time: 2.5226 data: 0.0025 max mem: 31654 Epoch: [1] [3000/5278] eta: 1:35:33 lr: 4.823182926304257e-05 loss: 0.1752 (0.1950) loss_seg: 0.1920 (0.2108) loss_lansim: 0.1048 (0.1111) loss_contra: 0.0055 (0.0502) time: 2.5151 data: 0.0025 max mem: 31654 Epoch: [1] [3010/5278] eta: 1:35:08 lr: 4.8229689224621327e-05 loss: 0.1735 (0.1949) loss_seg: 0.1903 (0.2107) loss_lansim: 0.1017 (0.1111) loss_contra: 0.0053 (0.0501) time: 2.5076 data: 0.0025 max mem: 31654 Epoch: [1] [3020/5278] eta: 1:34:42 lr: 4.8227549175649215e-05 loss: 0.1758 (0.1948) loss_seg: 0.1961 (0.2106) loss_lansim: 0.1011 (0.1110) loss_contra: 0.0037 (0.0500) time: 2.5132 data: 0.0025 max mem: 31654 Epoch: [1] [3030/5278] eta: 1:34:17 lr: 4.822540911612566e-05 loss: 0.1819 (0.1949) loss_seg: 0.1995 (0.2108) loss_lansim: 0.0999 (0.1110) loss_contra: 0.0055 (0.0499) time: 2.5101 data: 0.0025 max mem: 31654 Epoch: [1] [3040/5278] eta: 1:33:51 lr: 4.822326904605008e-05 loss: 0.1817 (0.1948) loss_seg: 0.1961 (0.2107) loss_lansim: 0.1011 (0.1110) loss_contra: 0.0072 (0.0501) time: 2.5070 data: 0.0025 max mem: 31654 Epoch: [1] [3050/5278] eta: 1:33:26 lr: 4.8221128965421924e-05 loss: 0.1808 (0.1948) loss_seg: 0.1953 (0.2106) loss_lansim: 0.1011 (0.1110) loss_contra: 0.0058 (0.0500) time: 2.5031 data: 0.0025 max mem: 31654 Epoch: [1] [3060/5278] eta: 1:33:01 lr: 4.82189888742406e-05 loss: 0.1819 (0.1948) loss_seg: 0.1995 (0.2106) loss_lansim: 0.1013 (0.1110) loss_contra: 0.0057 (0.0499) time: 2.5035 data: 0.0025 max mem: 31654 Epoch: [1] [3070/5278] eta: 1:32:35 lr: 4.8216848772505554e-05 loss: 0.1810 (0.1949) loss_seg: 0.1953 (0.2107) loss_lansim: 0.1019 (0.1110) loss_contra: 0.0056 (0.0500) time: 2.5035 data: 0.0025 max mem: 31654 Epoch: [1] [3080/5278] eta: 1:32:10 lr: 4.82147086602162e-05 loss: 0.1817 (0.1949) loss_seg: 0.1969 (0.2107) loss_lansim: 0.1033 (0.1110) loss_contra: 0.0057 (0.0500) time: 2.4915 data: 0.0025 max mem: 31654 Epoch: [1] [3090/5278] eta: 1:31:45 lr: 4.821256853737196e-05 loss: 0.1810 (0.1949) loss_seg: 0.1953 (0.2107) loss_lansim: 0.1019 (0.1110) loss_contra: 0.0058 (0.0498) time: 2.4959 data: 0.0025 max mem: 31654 Epoch: [1] [3100/5278] eta: 1:31:20 lr: 4.821042840397227e-05 loss: 0.1754 (0.1949) loss_seg: 0.1856 (0.2107) loss_lansim: 0.1026 (0.1110) loss_contra: 0.0056 (0.0497) time: 2.4955 data: 0.0025 max mem: 31654 Epoch: [1] [3110/5278] eta: 1:30:55 lr: 4.820828826001656e-05 loss: 0.1754 (0.1948) loss_seg: 0.1922 (0.2107) loss_lansim: 0.1053 (0.1109) loss_contra: 0.0056 (0.0498) time: 2.4992 data: 0.0025 max mem: 31654 Epoch: [1] [3120/5278] eta: 1:30:29 lr: 4.820614810550426e-05 loss: 0.1787 (0.1947) loss_seg: 0.1934 (0.2106) loss_lansim: 0.1036 (0.1109) loss_contra: 0.0043 (0.0496) time: 2.4985 data: 0.0025 max mem: 31654 Epoch: [1] [3130/5278] eta: 1:30:04 lr: 4.820400794043478e-05 loss: 0.1664 (0.1946) loss_seg: 0.1850 (0.2105) loss_lansim: 0.1060 (0.1109) loss_contra: 0.0041 (0.0495) time: 2.4959 data: 0.0025 max mem: 31654 Epoch: [1] [3140/5278] eta: 1:29:38 lr: 4.820186776480757e-05 loss: 0.1728 (0.1947) loss_seg: 0.1856 (0.2106) loss_lansim: 0.1047 (0.1109) loss_contra: 0.0034 (0.0494) time: 2.4938 data: 0.0025 max mem: 31654 Epoch: [1] [3150/5278] eta: 1:29:13 lr: 4.819972757862204e-05 loss: 0.1645 (0.1946) loss_seg: 0.1831 (0.2105) loss_lansim: 0.1030 (0.1109) loss_contra: 0.0036 (0.0495) time: 2.4848 data: 0.0025 max mem: 31654 Epoch: [1] [3160/5278] eta: 1:28:47 lr: 4.819758738187763e-05 loss: 0.1574 (0.1944) loss_seg: 0.1747 (0.2103) loss_lansim: 0.1034 (0.1108) loss_contra: 0.0042 (0.0496) time: 2.4865 data: 0.0024 max mem: 31654 Epoch: [1] [3170/5278] eta: 1:28:22 lr: 4.8195447174573746e-05 loss: 0.1629 (0.1946) loss_seg: 0.1789 (0.2104) loss_lansim: 0.1026 (0.1108) loss_contra: 0.0034 (0.0496) time: 2.4859 data: 0.0024 max mem: 31654 Epoch: [1] [3180/5278] eta: 1:27:56 lr: 4.8193306956709824e-05 loss: 0.1629 (0.1945) loss_seg: 0.1789 (0.2103) loss_lansim: 0.0989 (0.1107) loss_contra: 0.0028 (0.0495) time: 2.4875 data: 0.0024 max mem: 31654 Epoch: [1] [3190/5278] eta: 1:27:31 lr: 4.8191166728285305e-05 loss: 0.1595 (0.1944) loss_seg: 0.1772 (0.2102) loss_lansim: 0.0999 (0.1107) loss_contra: 0.0031 (0.0495) time: 2.4789 data: 0.0024 max mem: 31654 Epoch: [1] [3200/5278] eta: 1:27:06 lr: 4.8189026489299614e-05 loss: 0.1567 (0.1943) loss_seg: 0.1721 (0.2101) loss_lansim: 0.0989 (0.1107) loss_contra: 0.0031 (0.0494) time: 2.4790 data: 0.0024 max mem: 31654 Epoch: [1] [3210/5278] eta: 1:26:40 lr: 4.818688623975216e-05 loss: 0.1610 (0.1943) loss_seg: 0.1772 (0.2101) loss_lansim: 0.0982 (0.1107) loss_contra: 0.0025 (0.0492) time: 2.4687 data: 0.0024 max mem: 31654 Epoch: [1] [3220/5278] eta: 1:26:15 lr: 4.818474597964238e-05 loss: 0.1604 (0.1943) loss_seg: 0.1755 (0.2101) loss_lansim: 0.0996 (0.1107) loss_contra: 0.0022 (0.0491) time: 2.4697 data: 0.0024 max mem: 31654 Epoch: [1] [3230/5278] eta: 1:25:49 lr: 4.81826057089697e-05 loss: 0.1595 (0.1942) loss_seg: 0.1745 (0.2100) loss_lansim: 0.0993 (0.1107) loss_contra: 0.0022 (0.0491) time: 2.4694 data: 0.0025 max mem: 31654 Epoch: [1] [3240/5278] eta: 1:25:24 lr: 4.8180465427733554e-05 loss: 0.1595 (0.1943) loss_seg: 0.1745 (0.2101) loss_lansim: 0.0999 (0.1106) loss_contra: 0.0021 (0.0491) time: 2.4766 data: 0.0025 max mem: 31654 Epoch: [1] [3250/5278] eta: 1:24:59 lr: 4.817832513593335e-05 loss: 0.1657 (0.1943) loss_seg: 0.1776 (0.2101) loss_lansim: 0.0996 (0.1106) loss_contra: 0.0020 (0.0489) time: 2.4844 data: 0.0025 max mem: 31654 Epoch: [1] [3260/5278] eta: 1:24:34 lr: 4.8176184833568536e-05 loss: 0.1764 (0.1942) loss_seg: 0.1877 (0.2100) loss_lansim: 0.1014 (0.1106) loss_contra: 0.0019 (0.0488) time: 2.4810 data: 0.0025 max mem: 31654 Epoch: [1] [3270/5278] eta: 1:24:09 lr: 4.8174044520638515e-05 loss: 0.1764 (0.1942) loss_seg: 0.1899 (0.2100) loss_lansim: 0.0989 (0.1105) loss_contra: 0.0019 (0.0488) time: 2.4944 data: 0.0025 max mem: 31654 Epoch: [1] [3280/5278] eta: 1:23:44 lr: 4.8171904197142734e-05 loss: 0.1729 (0.1942) loss_seg: 0.1847 (0.2100) loss_lansim: 0.0998 (0.1105) loss_contra: 0.0019 (0.0487) time: 2.5012 data: 0.0025 max mem: 31654 Epoch: [1] [3290/5278] eta: 1:23:19 lr: 4.816976386308061e-05 loss: 0.1780 (0.1943) loss_seg: 0.1929 (0.2101) loss_lansim: 0.0996 (0.1105) loss_contra: 0.0018 (0.0485) time: 2.5059 data: 0.0026 max mem: 31654 Epoch: [1] [3300/5278] eta: 1:22:54 lr: 4.816762351845157e-05 loss: 0.1849 (0.1943) loss_seg: 0.1975 (0.2101) loss_lansim: 0.0996 (0.1105) loss_contra: 0.0018 (0.0484) time: 2.5070 data: 0.0026 max mem: 31654 Epoch: [1] [3310/5278] eta: 1:22:29 lr: 4.8165483163255035e-05 loss: 0.1760 (0.1943) loss_seg: 0.1932 (0.2101) loss_lansim: 0.0998 (0.1104) loss_contra: 0.0021 (0.0486) time: 2.5230 data: 0.0026 max mem: 31654 Epoch: [1] [3320/5278] eta: 1:22:04 lr: 4.8163342797490446e-05 loss: 0.1737 (0.1942) loss_seg: 0.1900 (0.2100) loss_lansim: 0.0993 (0.1104) loss_contra: 0.0018 (0.0484) time: 2.5222 data: 0.0026 max mem: 31654 Epoch: [1] [3330/5278] eta: 1:21:38 lr: 4.816120242115722e-05 loss: 0.1753 (0.1941) loss_seg: 0.1899 (0.2099) loss_lansim: 0.0968 (0.1104) loss_contra: 0.0014 (0.0484) time: 2.5222 data: 0.0026 max mem: 31654 Epoch: [1] [3340/5278] eta: 1:21:13 lr: 4.815906203425477e-05 loss: 0.1742 (0.1940) loss_seg: 0.1866 (0.2098) loss_lansim: 0.0962 (0.1103) loss_contra: 0.0013 (0.0483) time: 2.5238 data: 0.0026 max mem: 31654 Epoch: [1] [3350/5278] eta: 1:20:49 lr: 4.815692163678254e-05 loss: 0.1742 (0.1940) loss_seg: 0.1866 (0.2098) loss_lansim: 0.0993 (0.1103) loss_contra: 0.0013 (0.0483) time: 2.5321 data: 0.0026 max mem: 31654 Epoch: [1] [3360/5278] eta: 1:20:24 lr: 4.8154781228739956e-05 loss: 0.1742 (0.1939) loss_seg: 0.1856 (0.2097) loss_lansim: 0.0999 (0.1103) loss_contra: 0.0013 (0.0482) time: 2.5393 data: 0.0025 max mem: 31654 Epoch: [1] [3370/5278] eta: 1:19:58 lr: 4.8152640810126434e-05 loss: 0.1742 (0.1939) loss_seg: 0.1833 (0.2097) loss_lansim: 0.0999 (0.1103) loss_contra: 0.0014 (0.0486) time: 2.5310 data: 0.0025 max mem: 31654 Epoch: [1] [3380/5278] eta: 1:19:33 lr: 4.81505003809414e-05 loss: 0.1758 (0.1939) loss_seg: 0.1898 (0.2097) loss_lansim: 0.1023 (0.1103) loss_contra: 0.0014 (0.0487) time: 2.5314 data: 0.0025 max mem: 31654 Epoch: [1] [3390/5278] eta: 1:19:08 lr: 4.814835994118429e-05 loss: 0.1753 (0.1940) loss_seg: 0.1866 (0.2098) loss_lansim: 0.1017 (0.1103) loss_contra: 0.0017 (0.0486) time: 2.5264 data: 0.0025 max mem: 31654 Epoch: [1] [3400/5278] eta: 1:18:43 lr: 4.814621949085451e-05 loss: 0.1749 (0.1941) loss_seg: 0.1822 (0.2099) loss_lansim: 0.1024 (0.1103) loss_contra: 0.0019 (0.0487) time: 2.5252 data: 0.0025 max mem: 31654 Epoch: [1] [3410/5278] eta: 1:18:18 lr: 4.814407902995151e-05 loss: 0.1723 (0.1940) loss_seg: 0.1802 (0.2098) loss_lansim: 0.1017 (0.1103) loss_contra: 0.0017 (0.0485) time: 2.5170 data: 0.0025 max mem: 31654 Epoch: [1] [3420/5278] eta: 1:17:52 lr: 4.8141938558474705e-05 loss: 0.1779 (0.1939) loss_seg: 0.1866 (0.2098) loss_lansim: 0.1017 (0.1102) loss_contra: 0.0031 (0.0486) time: 2.5110 data: 0.0025 max mem: 31654 Epoch: [1] [3430/5278] eta: 1:17:27 lr: 4.813979807642351e-05 loss: 0.1758 (0.1939) loss_seg: 0.1898 (0.2097) loss_lansim: 0.1017 (0.1102) loss_contra: 0.0036 (0.0487) time: 2.5119 data: 0.0025 max mem: 31654 Epoch: [1] [3440/5278] eta: 1:17:01 lr: 4.813765758379736e-05 loss: 0.1723 (0.1938) loss_seg: 0.1822 (0.2096) loss_lansim: 0.1024 (0.1102) loss_contra: 0.0046 (0.0488) time: 2.5044 data: 0.0025 max mem: 31654 Epoch: [1] [3450/5278] eta: 1:16:36 lr: 4.8135517080595686e-05 loss: 0.1615 (0.1938) loss_seg: 0.1764 (0.2096) loss_lansim: 0.0996 (0.1101) loss_contra: 0.0042 (0.0486) time: 2.4946 data: 0.0026 max mem: 31654 Epoch: [1] [3460/5278] eta: 1:16:11 lr: 4.8133376566817904e-05 loss: 0.1634 (0.1938) loss_seg: 0.1769 (0.2095) loss_lansim: 0.0987 (0.1101) loss_contra: 0.0036 (0.0486) time: 2.4907 data: 0.0026 max mem: 31654 Epoch: [1] [3470/5278] eta: 1:15:45 lr: 4.8131236042463445e-05 loss: 0.1588 (0.1937) loss_seg: 0.1756 (0.2094) loss_lansim: 0.0995 (0.1101) loss_contra: 0.0025 (0.0485) time: 2.4870 data: 0.0026 max mem: 31654 Epoch: [1] [3480/5278] eta: 1:15:21 lr: 4.8129095507531726e-05 loss: 0.1568 (0.1936) loss_seg: 0.1722 (0.2094) loss_lansim: 0.0967 (0.1100) loss_contra: 0.0025 (0.0485) time: 2.4893 data: 0.0026 max mem: 31654 Epoch: [1] [3490/5278] eta: 1:14:55 lr: 4.8126954962022186e-05 loss: 0.1514 (0.1936) loss_seg: 0.1634 (0.2093) loss_lansim: 0.0966 (0.1100) loss_contra: 0.0024 (0.0484) time: 2.4866 data: 0.0026 max mem: 31654 Epoch: [1] [3500/5278] eta: 1:14:30 lr: 4.812481440593423e-05 loss: 0.1552 (0.1936) loss_seg: 0.1686 (0.2093) loss_lansim: 0.0966 (0.1100) loss_contra: 0.0017 (0.0483) time: 2.4930 data: 0.0026 max mem: 31654 Epoch: [1] [3510/5278] eta: 1:14:05 lr: 4.81226738392673e-05 loss: 0.1552 (0.1935) loss_seg: 0.1686 (0.2092) loss_lansim: 0.0957 (0.1100) loss_contra: 0.0023 (0.0482) time: 2.4945 data: 0.0026 max mem: 31654 Epoch: [1] [3520/5278] eta: 1:13:40 lr: 4.812053326202081e-05 loss: 0.1513 (0.1934) loss_seg: 0.1624 (0.2092) loss_lansim: 0.0928 (0.1099) loss_contra: 0.0023 (0.0485) time: 2.5080 data: 0.0026 max mem: 31654 Epoch: [1] [3530/5278] eta: 1:13:15 lr: 4.81183926741942e-05 loss: 0.1498 (0.1933) loss_seg: 0.1605 (0.2090) loss_lansim: 0.0928 (0.1098) loss_contra: 0.0025 (0.0484) time: 2.5171 data: 0.0026 max mem: 31654 Epoch: [1] [3540/5278] eta: 1:12:50 lr: 4.811625207578688e-05 loss: 0.1498 (0.1932) loss_seg: 0.1605 (0.2090) loss_lansim: 0.0928 (0.1098) loss_contra: 0.0025 (0.0484) time: 2.5265 data: 0.0025 max mem: 31654 Epoch: [1] [3550/5278] eta: 1:12:25 lr: 4.8114111466798276e-05 loss: 0.1513 (0.1932) loss_seg: 0.1667 (0.2090) loss_lansim: 0.0968 (0.1098) loss_contra: 0.0029 (0.0483) time: 2.5274 data: 0.0025 max mem: 31654 Epoch: [1] [3560/5278] eta: 1:12:00 lr: 4.811197084722781e-05 loss: 0.1538 (0.1932) loss_seg: 0.1677 (0.2090) loss_lansim: 0.0968 (0.1098) loss_contra: 0.0031 (0.0483) time: 2.5290 data: 0.0025 max mem: 31654 Epoch: [1] [3570/5278] eta: 1:11:35 lr: 4.810983021707493e-05 loss: 0.1599 (0.1933) loss_seg: 0.1783 (0.2090) loss_lansim: 0.0931 (0.1097) loss_contra: 0.0068 (0.0486) time: 2.5292 data: 0.0025 max mem: 31654 Epoch: [1] [3580/5278] eta: 1:11:09 lr: 4.810768957633903e-05 loss: 0.1584 (0.1931) loss_seg: 0.1748 (0.2089) loss_lansim: 0.0978 (0.1097) loss_contra: 0.0068 (0.0485) time: 2.5207 data: 0.0025 max mem: 31654 Epoch: [1] [3590/5278] eta: 1:10:45 lr: 4.810554892501954e-05 loss: 0.1611 (0.1930) loss_seg: 0.1793 (0.2088) loss_lansim: 0.0978 (0.1096) loss_contra: 0.0058 (0.0485) time: 2.5339 data: 0.0025 max mem: 31654 Epoch: [1] [3600/5278] eta: 1:10:19 lr: 4.8103408263115904e-05 loss: 0.1594 (0.1931) loss_seg: 0.1774 (0.2088) loss_lansim: 0.0928 (0.1096) loss_contra: 0.0058 (0.0485) time: 2.5295 data: 0.0025 max mem: 31654 Epoch: [1] [3610/5278] eta: 1:09:54 lr: 4.810126759062753e-05 loss: 0.1599 (0.1931) loss_seg: 0.1783 (0.2088) loss_lansim: 0.0963 (0.1096) loss_contra: 0.0059 (0.0485) time: 2.5319 data: 0.0025 max mem: 31654 Epoch: [1] [3620/5278] eta: 1:09:29 lr: 4.809912690755386e-05 loss: 0.1599 (0.1930) loss_seg: 0.1773 (0.2087) loss_lansim: 0.0972 (0.1095) loss_contra: 0.0071 (0.0485) time: 2.5212 data: 0.0025 max mem: 31654 Epoch: [1] [3630/5278] eta: 1:09:04 lr: 4.8096986213894277e-05 loss: 0.1594 (0.1929) loss_seg: 0.1770 (0.2085) loss_lansim: 0.0964 (0.1095) loss_contra: 0.0050 (0.0484) time: 2.5159 data: 0.0025 max mem: 31654 Epoch: [1] [3640/5278] eta: 1:08:39 lr: 4.809484550964825e-05 loss: 0.1599 (0.1929) loss_seg: 0.1773 (0.2086) loss_lansim: 0.0968 (0.1095) loss_contra: 0.0050 (0.0484) time: 2.5087 data: 0.0024 max mem: 31654 Epoch: [1] [3650/5278] eta: 1:08:14 lr: 4.809270479481519e-05 loss: 0.1599 (0.1928) loss_seg: 0.1773 (0.2085) loss_lansim: 0.0972 (0.1095) loss_contra: 0.0032 (0.0484) time: 2.5146 data: 0.0024 max mem: 31654 Epoch: [1] [3660/5278] eta: 1:07:49 lr: 4.809056406939451e-05 loss: 0.1611 (0.1928) loss_seg: 0.1774 (0.2085) loss_lansim: 0.0972 (0.1095) loss_contra: 0.0039 (0.0484) time: 2.5225 data: 0.0024 max mem: 31654 Epoch: [1] [3670/5278] eta: 1:07:24 lr: 4.808842333338564e-05 loss: 0.1596 (0.1928) loss_seg: 0.1770 (0.2085) loss_lansim: 0.0976 (0.1095) loss_contra: 0.0030 (0.0483) time: 2.5282 data: 0.0025 max mem: 31654 Epoch: [1] [3680/5278] eta: 1:06:59 lr: 4.8086282586788e-05 loss: 0.1600 (0.1929) loss_seg: 0.1767 (0.2086) loss_lansim: 0.0989 (0.1095) loss_contra: 0.0030 (0.0483) time: 2.5322 data: 0.0025 max mem: 31654 Epoch: [1] [3690/5278] eta: 1:06:33 lr: 4.808414182960102e-05 loss: 0.1637 (0.1929) loss_seg: 0.1770 (0.2086) loss_lansim: 0.1006 (0.1095) loss_contra: 0.0036 (0.0482) time: 2.5239 data: 0.0024 max mem: 31654 Epoch: [1] [3700/5278] eta: 1:06:09 lr: 4.808200106182413e-05 loss: 0.1665 (0.1929) loss_seg: 0.1781 (0.2086) loss_lansim: 0.1041 (0.1095) loss_contra: 0.0039 (0.0482) time: 2.5322 data: 0.0024 max mem: 31654 Epoch: [1] [3710/5278] eta: 1:05:44 lr: 4.807986028345674e-05 loss: 0.1706 (0.1929) loss_seg: 0.1825 (0.2086) loss_lansim: 0.1058 (0.1095) loss_contra: 0.0030 (0.0481) time: 2.5337 data: 0.0024 max mem: 31654 Epoch: [1] [3720/5278] eta: 1:05:19 lr: 4.807771949449828e-05 loss: 0.1721 (0.1929) loss_seg: 0.1861 (0.2087) loss_lansim: 0.1060 (0.1095) loss_contra: 0.0028 (0.0480) time: 2.5393 data: 0.0025 max mem: 31654 Epoch: [1] [3730/5278] eta: 1:04:53 lr: 4.807557869494817e-05 loss: 0.1783 (0.1929) loss_seg: 0.1903 (0.2087) loss_lansim: 0.1086 (0.1096) loss_contra: 0.0030 (0.0479) time: 2.5410 data: 0.0025 max mem: 31654 Epoch: [1] [3740/5278] eta: 1:04:29 lr: 4.807343788480585e-05 loss: 0.1750 (0.1929) loss_seg: 0.1883 (0.2086) loss_lansim: 0.1097 (0.1096) loss_contra: 0.0030 (0.0478) time: 2.5477 data: 0.0025 max mem: 31654 Epoch: [1] [3750/5278] eta: 1:04:03 lr: 4.807129706407071e-05 loss: 0.1783 (0.1929) loss_seg: 0.1903 (0.2086) loss_lansim: 0.1118 (0.1096) loss_contra: 0.0036 (0.0478) time: 2.5382 data: 0.0025 max mem: 31654 Epoch: [1] [3760/5278] eta: 1:03:38 lr: 4.806915623274221e-05 loss: 0.1747 (0.1929) loss_seg: 0.1865 (0.2086) loss_lansim: 0.1152 (0.1096) loss_contra: 0.0035 (0.0477) time: 2.5344 data: 0.0025 max mem: 31654 Epoch: [1] [3770/5278] eta: 1:03:13 lr: 4.806701539081975e-05 loss: 0.1783 (0.1930) loss_seg: 0.1918 (0.2088) loss_lansim: 0.1164 (0.1097) loss_contra: 0.0035 (0.0477) time: 2.5294 data: 0.0025 max mem: 31654 Epoch: [1] [3780/5278] eta: 1:02:48 lr: 4.8064874538302764e-05 loss: 0.1829 (0.1931) loss_seg: 0.2004 (0.2088) loss_lansim: 0.1156 (0.1097) loss_contra: 0.0028 (0.0476) time: 2.5305 data: 0.0025 max mem: 31654 Epoch: [1] [3790/5278] eta: 1:02:23 lr: 4.806273367519067e-05 loss: 0.1891 (0.1931) loss_seg: 0.2065 (0.2088) loss_lansim: 0.1132 (0.1097) loss_contra: 0.0027 (0.0475) time: 2.5380 data: 0.0024 max mem: 31654 Epoch: [1] [3800/5278] eta: 1:01:58 lr: 4.8060592801482887e-05 loss: 0.1862 (0.1931) loss_seg: 0.2035 (0.2088) loss_lansim: 0.1102 (0.1097) loss_contra: 0.0030 (0.0474) time: 2.5323 data: 0.0024 max mem: 31654 Epoch: [1] [3810/5278] eta: 1:01:32 lr: 4.805845191717885e-05 loss: 0.1783 (0.1930) loss_seg: 0.1883 (0.2087) loss_lansim: 0.1084 (0.1096) loss_contra: 0.0040 (0.0474) time: 2.5188 data: 0.0024 max mem: 31654 Epoch: [1] [3820/5278] eta: 1:01:07 lr: 4.8056311022277976e-05 loss: 0.1820 (0.1930) loss_seg: 0.1973 (0.2087) loss_lansim: 0.1102 (0.1096) loss_contra: 0.0040 (0.0474) time: 2.5176 data: 0.0024 max mem: 31654 Epoch: [1] [3830/5278] eta: 1:00:42 lr: 4.805417011677968e-05 loss: 0.1762 (0.1929) loss_seg: 0.1879 (0.2086) loss_lansim: 0.1095 (0.1096) loss_contra: 0.0027 (0.0473) time: 2.5137 data: 0.0024 max mem: 31654 Epoch: [1] [3840/5278] eta: 1:00:17 lr: 4.80520292006834e-05 loss: 0.1832 (0.1929) loss_seg: 0.1973 (0.2086) loss_lansim: 0.1081 (0.1096) loss_contra: 0.0025 (0.0472) time: 2.5048 data: 0.0024 max mem: 31654 Epoch: [1] [3850/5278] eta: 0:59:51 lr: 4.804988827398855e-05 loss: 0.1768 (0.1929) loss_seg: 0.1957 (0.2086) loss_lansim: 0.1042 (0.1096) loss_contra: 0.0023 (0.0472) time: 2.5068 data: 0.0025 max mem: 31654 Epoch: [1] [3860/5278] eta: 0:59:26 lr: 4.804774733669456e-05 loss: 0.1812 (0.1929) loss_seg: 0.1970 (0.2086) loss_lansim: 0.1046 (0.1096) loss_contra: 0.0021 (0.0471) time: 2.5006 data: 0.0025 max mem: 31654 Epoch: [1] [3870/5278] eta: 0:59:01 lr: 4.804560638880084e-05 loss: 0.1768 (0.1929) loss_seg: 0.1957 (0.2086) loss_lansim: 0.1006 (0.1095) loss_contra: 0.0021 (0.0471) time: 2.5093 data: 0.0025 max mem: 31654 Epoch: [1] [3880/5278] eta: 0:58:36 lr: 4.8043465430306824e-05 loss: 0.1759 (0.1929) loss_seg: 0.1908 (0.2087) loss_lansim: 0.0992 (0.1095) loss_contra: 0.0023 (0.0470) time: 2.5016 data: 0.0025 max mem: 31654 Epoch: [1] [3890/5278] eta: 0:58:11 lr: 4.804132446121192e-05 loss: 0.1724 (0.1929) loss_seg: 0.1879 (0.2086) loss_lansim: 0.0974 (0.1095) loss_contra: 0.0026 (0.0470) time: 2.4976 data: 0.0026 max mem: 31654 Epoch: [1] [3900/5278] eta: 0:57:45 lr: 4.803918348151558e-05 loss: 0.1759 (0.1929) loss_seg: 0.1894 (0.2087) loss_lansim: 0.1008 (0.1095) loss_contra: 0.0014 (0.0469) time: 2.4907 data: 0.0026 max mem: 31654 Epoch: [1] [3910/5278] eta: 0:57:20 lr: 4.80370424912172e-05 loss: 0.1768 (0.1929) loss_seg: 0.1922 (0.2086) loss_lansim: 0.1063 (0.1095) loss_contra: 0.0014 (0.0468) time: 2.5027 data: 0.0026 max mem: 31654 Epoch: [1] [3920/5278] eta: 0:56:55 lr: 4.80349014903162e-05 loss: 0.1812 (0.1929) loss_seg: 0.1956 (0.2086) loss_lansim: 0.1056 (0.1095) loss_contra: 0.0013 (0.0467) time: 2.5042 data: 0.0026 max mem: 31654 Epoch: [1] [3930/5278] eta: 0:56:30 lr: 4.803276047881202e-05 loss: 0.1855 (0.1932) loss_seg: 0.2043 (0.2090) loss_lansim: 0.1008 (0.1095) loss_contra: 0.0010 (0.0468) time: 2.5026 data: 0.0026 max mem: 31654 Epoch: [1] [3940/5278] eta: 0:56:05 lr: 4.803061945670408e-05 loss: 0.1839 (0.1931) loss_seg: 0.2022 (0.2089) loss_lansim: 0.1056 (0.1095) loss_contra: 0.0010 (0.0471) time: 2.5053 data: 0.0026 max mem: 31654 Epoch: [1] [3950/5278] eta: 0:55:40 lr: 4.80284784239918e-05 loss: 0.1853 (0.1931) loss_seg: 0.1956 (0.2089) loss_lansim: 0.1073 (0.1095) loss_contra: 0.0009 (0.0471) time: 2.5159 data: 0.0026 max mem: 31654 Epoch: [1] [3960/5278] eta: 0:55:15 lr: 4.802633738067458e-05 loss: 0.1883 (0.1932) loss_seg: 0.2022 (0.2090) loss_lansim: 0.1073 (0.1095) loss_contra: 0.0013 (0.0470) time: 2.5148 data: 0.0026 max mem: 31654 Epoch: [1] [3970/5278] eta: 0:54:49 lr: 4.802419632675188e-05 loss: 0.1883 (0.1933) loss_seg: 0.2015 (0.2091) loss_lansim: 0.1090 (0.1096) loss_contra: 0.0014 (0.0472) time: 2.5080 data: 0.0025 max mem: 31654 Epoch: [1] [3980/5278] eta: 0:54:24 lr: 4.802205526222309e-05 loss: 0.1887 (0.1934) loss_seg: 0.2066 (0.2092) loss_lansim: 0.1094 (0.1096) loss_contra: 0.0019 (0.0474) time: 2.5166 data: 0.0025 max mem: 31654 Epoch: [1] [3990/5278] eta: 0:53:59 lr: 4.801991418708766e-05 loss: 0.1887 (0.1934) loss_seg: 0.2077 (0.2092) loss_lansim: 0.1106 (0.1096) loss_contra: 0.0022 (0.0474) time: 2.5117 data: 0.0025 max mem: 31654 Epoch: [1] [4000/5278] eta: 0:53:34 lr: 4.801777310134499e-05 loss: 0.1894 (0.1934) loss_seg: 0.2098 (0.2093) loss_lansim: 0.1119 (0.1096) loss_contra: 0.0018 (0.0473) time: 2.5264 data: 0.0025 max mem: 31654 Epoch: [1] [4010/5278] eta: 0:53:09 lr: 4.801563200499451e-05 loss: 0.1930 (0.1934) loss_seg: 0.2110 (0.2092) loss_lansim: 0.1112 (0.1096) loss_contra: 0.0018 (0.0472) time: 2.5288 data: 0.0025 max mem: 31654 Epoch: [1] [4020/5278] eta: 0:52:44 lr: 4.801349089803564e-05 loss: 0.1940 (0.1934) loss_seg: 0.2102 (0.2092) loss_lansim: 0.1113 (0.1096) loss_contra: 0.0020 (0.0473) time: 2.5264 data: 0.0025 max mem: 31654 Epoch: [1] [4030/5278] eta: 0:52:19 lr: 4.801134978046781e-05 loss: 0.1897 (0.1934) loss_seg: 0.2015 (0.2093) loss_lansim: 0.1098 (0.1096) loss_contra: 0.0022 (0.0473) time: 2.5408 data: 0.0024 max mem: 31654 Epoch: [1] [4040/5278] eta: 0:51:54 lr: 4.800920865229043e-05 loss: 0.1896 (0.1934) loss_seg: 0.2036 (0.2092) loss_lansim: 0.1079 (0.1095) loss_contra: 0.0023 (0.0472) time: 2.5418 data: 0.0024 max mem: 31654 Epoch: [1] [4050/5278] eta: 0:51:29 lr: 4.800706751350293e-05 loss: 0.1894 (0.1933) loss_seg: 0.2036 (0.2092) loss_lansim: 0.1070 (0.1095) loss_contra: 0.0025 (0.0471) time: 2.5361 data: 0.0024 max mem: 31654 Epoch: [1] [4060/5278] eta: 0:51:04 lr: 4.8004926364104725e-05 loss: 0.1896 (0.1934) loss_seg: 0.2012 (0.2092) loss_lansim: 0.1075 (0.1095) loss_contra: 0.0024 (0.0471) time: 2.5351 data: 0.0024 max mem: 31654 Epoch: [1] [4070/5278] eta: 0:50:39 lr: 4.800278520409524e-05 loss: 0.1825 (0.1934) loss_seg: 0.1950 (0.2092) loss_lansim: 0.1070 (0.1095) loss_contra: 0.0028 (0.0471) time: 2.5380 data: 0.0024 max mem: 31654 Epoch: [1] [4080/5278] eta: 0:50:13 lr: 4.80006440334739e-05 loss: 0.1810 (0.1935) loss_seg: 0.1946 (0.2093) loss_lansim: 0.1057 (0.1095) loss_contra: 0.0024 (0.0470) time: 2.5329 data: 0.0024 max mem: 31654 Epoch: [1] [4090/5278] eta: 0:49:48 lr: 4.7998502852240116e-05 loss: 0.1810 (0.1935) loss_seg: 0.1939 (0.2093) loss_lansim: 0.1053 (0.1095) loss_contra: 0.0024 (0.0470) time: 2.5316 data: 0.0024 max mem: 31654 Epoch: [1] [4100/5278] eta: 0:49:23 lr: 4.799636166039332e-05 loss: 0.1837 (0.1936) loss_seg: 0.2015 (0.2095) loss_lansim: 0.1047 (0.1095) loss_contra: 0.0026 (0.0469) time: 2.5236 data: 0.0025 max mem: 31654 Epoch: [1] [4110/5278] eta: 0:48:57 lr: 4.799422045793292e-05 loss: 0.1894 (0.1936) loss_seg: 0.2036 (0.2095) loss_lansim: 0.1051 (0.1095) loss_contra: 0.0028 (0.0470) time: 2.5063 data: 0.0025 max mem: 31654 Epoch: [1] [4120/5278] eta: 0:48:32 lr: 4.799207924485837e-05 loss: 0.1897 (0.1936) loss_seg: 0.2036 (0.2095) loss_lansim: 0.1041 (0.1094) loss_contra: 0.0026 (0.0469) time: 2.5051 data: 0.0025 max mem: 31654 Epoch: [1] [4130/5278] eta: 0:48:07 lr: 4.798993802116905e-05 loss: 0.1894 (0.1936) loss_seg: 0.2015 (0.2094) loss_lansim: 0.1041 (0.1094) loss_contra: 0.0026 (0.0469) time: 2.4968 data: 0.0025 max mem: 31654 Epoch: [1] [4140/5278] eta: 0:47:42 lr: 4.7987796786864406e-05 loss: 0.1970 (0.1937) loss_seg: 0.2046 (0.2095) loss_lansim: 0.1047 (0.1094) loss_contra: 0.0020 (0.0468) time: 2.5033 data: 0.0025 max mem: 31654 Epoch: [1] [4150/5278] eta: 0:47:17 lr: 4.7985655541943844e-05 loss: 0.1979 (0.1937) loss_seg: 0.2134 (0.2096) loss_lansim: 0.1047 (0.1094) loss_contra: 0.0020 (0.0467) time: 2.5045 data: 0.0025 max mem: 31654 Epoch: [1] [4160/5278] eta: 0:46:52 lr: 4.798351428640681e-05 loss: 0.1982 (0.1937) loss_seg: 0.2126 (0.2096) loss_lansim: 0.1028 (0.1094) loss_contra: 0.0015 (0.0466) time: 2.5063 data: 0.0025 max mem: 31654 Epoch: [1] [4170/5278] eta: 0:46:27 lr: 4.798137302025269e-05 loss: 0.1995 (0.1937) loss_seg: 0.2126 (0.2095) loss_lansim: 0.1019 (0.1094) loss_contra: 0.0013 (0.0466) time: 2.5021 data: 0.0025 max mem: 31654 Epoch: [1] [4180/5278] eta: 0:46:01 lr: 4.7979231743480934e-05 loss: 0.1995 (0.1937) loss_seg: 0.2126 (0.2095) loss_lansim: 0.1002 (0.1094) loss_contra: 0.0014 (0.0466) time: 2.5033 data: 0.0026 max mem: 31654 Epoch: [1] [4190/5278] eta: 0:45:36 lr: 4.7977090456090946e-05 loss: 0.1976 (0.1936) loss_seg: 0.2067 (0.2094) loss_lansim: 0.1001 (0.1094) loss_contra: 0.0012 (0.0464) time: 2.5097 data: 0.0025 max mem: 31654 Epoch: [1] [4200/5278] eta: 0:45:11 lr: 4.797494915808216e-05 loss: 0.1923 (0.1935) loss_seg: 0.1989 (0.2094) loss_lansim: 0.1019 (0.1094) loss_contra: 0.0014 (0.0468) time: 2.5103 data: 0.0025 max mem: 31654 Epoch: [1] [4210/5278] eta: 0:44:46 lr: 4.797280784945398e-05 loss: 0.1834 (0.1935) loss_seg: 0.1981 (0.2094) loss_lansim: 0.1026 (0.1094) loss_contra: 0.0014 (0.0469) time: 2.5247 data: 0.0025 max mem: 31654 Epoch: [1] [4220/5278] eta: 0:44:21 lr: 4.797066653020584e-05 loss: 0.1780 (0.1935) loss_seg: 0.1947 (0.2093) loss_lansim: 0.1049 (0.1094) loss_contra: 0.0018 (0.0468) time: 2.5205 data: 0.0025 max mem: 31654 Epoch: [1] [4230/5278] eta: 0:43:56 lr: 4.796852520033716e-05 loss: 0.1766 (0.1934) loss_seg: 0.1947 (0.2093) loss_lansim: 0.1050 (0.1094) loss_contra: 0.0018 (0.0468) time: 2.5228 data: 0.0025 max mem: 31654 Epoch: [1] [4240/5278] eta: 0:43:30 lr: 4.796638385984736e-05 loss: 0.1644 (0.1933) loss_seg: 0.1762 (0.2091) loss_lansim: 0.1049 (0.1093) loss_contra: 0.0024 (0.0469) time: 2.5137 data: 0.0025 max mem: 31654 Epoch: [1] [4250/5278] eta: 0:43:06 lr: 4.796424250873585e-05 loss: 0.1644 (0.1934) loss_seg: 0.1762 (0.2092) loss_lansim: 0.1049 (0.1093) loss_contra: 0.0018 (0.0468) time: 2.5194 data: 0.0025 max mem: 31654 Epoch: [1] [4260/5278] eta: 0:42:40 lr: 4.796210114700206e-05 loss: 0.1576 (0.1933) loss_seg: 0.1729 (0.2092) loss_lansim: 0.1037 (0.1093) loss_contra: 0.0019 (0.0467) time: 2.5245 data: 0.0025 max mem: 31654 Epoch: [1] [4270/5278] eta: 0:42:15 lr: 4.7959959774645406e-05 loss: 0.1585 (0.1934) loss_seg: 0.1744 (0.2092) loss_lansim: 0.1037 (0.1093) loss_contra: 0.0014 (0.0466) time: 2.5303 data: 0.0025 max mem: 31654 Epoch: [1] [4280/5278] eta: 0:41:50 lr: 4.795781839166532e-05 loss: 0.1576 (0.1933) loss_seg: 0.1716 (0.2091) loss_lansim: 0.1001 (0.1093) loss_contra: 0.0016 (0.0467) time: 2.5314 data: 0.0025 max mem: 31654 Epoch: [1] [4290/5278] eta: 0:41:25 lr: 4.7955676998061205e-05 loss: 0.1622 (0.1933) loss_seg: 0.1755 (0.2092) loss_lansim: 0.1001 (0.1093) loss_contra: 0.0019 (0.0467) time: 2.5287 data: 0.0025 max mem: 31654 Epoch: [1] [4300/5278] eta: 0:41:00 lr: 4.795353559383249e-05 loss: 0.1707 (0.1933) loss_seg: 0.1830 (0.2092) loss_lansim: 0.0985 (0.1093) loss_contra: 0.0018 (0.0466) time: 2.5232 data: 0.0025 max mem: 31654 Epoch: [1] [4310/5278] eta: 0:40:34 lr: 4.795139417897859e-05 loss: 0.1729 (0.1934) loss_seg: 0.1873 (0.2092) loss_lansim: 0.0974 (0.1092) loss_contra: 0.0018 (0.0466) time: 2.5120 data: 0.0025 max mem: 31654 Epoch: [1] [4320/5278] eta: 0:40:09 lr: 4.794925275349894e-05 loss: 0.1770 (0.1934) loss_seg: 0.1899 (0.2092) loss_lansim: 0.0974 (0.1092) loss_contra: 0.0017 (0.0466) time: 2.5210 data: 0.0024 max mem: 31654 Epoch: [1] [4330/5278] eta: 0:39:44 lr: 4.7947111317392946e-05 loss: 0.1810 (0.1934) loss_seg: 0.1932 (0.2092) loss_lansim: 0.0970 (0.1092) loss_contra: 0.0017 (0.0465) time: 2.5158 data: 0.0024 max mem: 31654 Epoch: [1] [4340/5278] eta: 0:39:19 lr: 4.794496987066003e-05 loss: 0.1820 (0.1934) loss_seg: 0.1958 (0.2092) loss_lansim: 0.0985 (0.1092) loss_contra: 0.0017 (0.0464) time: 2.5162 data: 0.0024 max mem: 31654 Epoch: [1] [4350/5278] eta: 0:38:54 lr: 4.7942828413299604e-05 loss: 0.1810 (0.1933) loss_seg: 0.1946 (0.2091) loss_lansim: 0.0986 (0.1092) loss_contra: 0.0022 (0.0463) time: 2.5034 data: 0.0025 max mem: 31654 Epoch: [1] [4360/5278] eta: 0:38:28 lr: 4.794068694531111e-05 loss: 0.1770 (0.1932) loss_seg: 0.1935 (0.2090) loss_lansim: 0.0986 (0.1092) loss_contra: 0.0018 (0.0462) time: 2.4910 data: 0.0025 max mem: 31654 Epoch: [1] [4370/5278] eta: 0:38:03 lr: 4.793854546669395e-05 loss: 0.1792 (0.1931) loss_seg: 0.1935 (0.2089) loss_lansim: 0.0993 (0.1091) loss_contra: 0.0022 (0.0463) time: 2.4871 data: 0.0025 max mem: 31654 Epoch: [1] [4380/5278] eta: 0:37:38 lr: 4.793640397744755e-05 loss: 0.1812 (0.1931) loss_seg: 0.1951 (0.2089) loss_lansim: 0.0993 (0.1091) loss_contra: 0.0022 (0.0464) time: 2.4862 data: 0.0025 max mem: 31654 Epoch: [1] [4390/5278] eta: 0:37:13 lr: 4.793426247757133e-05 loss: 0.1810 (0.1932) loss_seg: 0.1958 (0.2090) loss_lansim: 0.0986 (0.1091) loss_contra: 0.0018 (0.0463) time: 2.4953 data: 0.0025 max mem: 31654 Epoch: [1] [4400/5278] eta: 0:36:48 lr: 4.7932120967064695e-05 loss: 0.1758 (0.1932) loss_seg: 0.1886 (0.2089) loss_lansim: 0.0997 (0.1091) loss_contra: 0.0026 (0.0464) time: 2.4989 data: 0.0025 max mem: 31654 Epoch: [1] [4410/5278] eta: 0:36:23 lr: 4.7929979445927095e-05 loss: 0.1746 (0.1931) loss_seg: 0.1876 (0.2089) loss_lansim: 0.1001 (0.1091) loss_contra: 0.0027 (0.0463) time: 2.5073 data: 0.0025 max mem: 31654 Epoch: [1] [4420/5278] eta: 0:35:57 lr: 4.792783791415792e-05 loss: 0.1718 (0.1930) loss_seg: 0.1865 (0.2088) loss_lansim: 0.1001 (0.1091) loss_contra: 0.0027 (0.0462) time: 2.4992 data: 0.0025 max mem: 31654 Epoch: [1] [4430/5278] eta: 0:35:32 lr: 4.7925696371756604e-05 loss: 0.1728 (0.1932) loss_seg: 0.1875 (0.2090) loss_lansim: 0.1001 (0.1091) loss_contra: 0.0027 (0.0462) time: 2.4996 data: 0.0025 max mem: 31654 Epoch: [1] [4440/5278] eta: 0:35:07 lr: 4.792355481872257e-05 loss: 0.1781 (0.1933) loss_seg: 0.1886 (0.2091) loss_lansim: 0.1001 (0.1091) loss_contra: 0.0027 (0.0461) time: 2.4990 data: 0.0025 max mem: 31654 Epoch: [1] [4450/5278] eta: 0:34:42 lr: 4.792141325505522e-05 loss: 0.1787 (0.1933) loss_seg: 0.1951 (0.2090) loss_lansim: 0.1029 (0.1091) loss_contra: 0.0027 (0.0461) time: 2.5113 data: 0.0025 max mem: 31654 Epoch: [1] [4460/5278] eta: 0:34:17 lr: 4.7919271680753984e-05 loss: 0.1871 (0.1933) loss_seg: 0.2006 (0.2090) loss_lansim: 0.1055 (0.1092) loss_contra: 0.0027 (0.0460) time: 2.5136 data: 0.0025 max mem: 31654 Epoch: [1] [4470/5278] eta: 0:33:52 lr: 4.791713009581828e-05 loss: 0.1842 (0.1932) loss_seg: 0.2006 (0.2090) loss_lansim: 0.1079 (0.1092) loss_contra: 0.0037 (0.0460) time: 2.5151 data: 0.0026 max mem: 31654 Epoch: [1] [4480/5278] eta: 0:33:27 lr: 4.791498850024754e-05 loss: 0.1839 (0.1933) loss_seg: 0.1983 (0.2090) loss_lansim: 0.1098 (0.1092) loss_contra: 0.0029 (0.0459) time: 2.5203 data: 0.0026 max mem: 31654 Epoch: [1] [4490/5278] eta: 0:33:02 lr: 4.791284689404116e-05 loss: 0.1812 (0.1932) loss_seg: 0.1982 (0.2090) loss_lansim: 0.1106 (0.1092) loss_contra: 0.0037 (0.0459) time: 2.5155 data: 0.0026 max mem: 31654 Epoch: [1] [4500/5278] eta: 0:32:37 lr: 4.7910705277198575e-05 loss: 0.1815 (0.1932) loss_seg: 0.2022 (0.2090) loss_lansim: 0.1106 (0.1092) loss_contra: 0.0037 (0.0460) time: 2.5236 data: 0.0026 max mem: 31654 Epoch: [1] [4510/5278] eta: 0:32:11 lr: 4.79085636497192e-05 loss: 0.1815 (0.1931) loss_seg: 0.2022 (0.2089) loss_lansim: 0.1105 (0.1092) loss_contra: 0.0027 (0.0459) time: 2.5262 data: 0.0026 max mem: 31654 Epoch: [1] [4520/5278] eta: 0:31:46 lr: 4.790642201160245e-05 loss: 0.1913 (0.1932) loss_seg: 0.2059 (0.2090) loss_lansim: 0.1085 (0.1092) loss_contra: 0.0026 (0.0459) time: 2.5400 data: 0.0026 max mem: 31654 Epoch: [1] [4530/5278] eta: 0:31:21 lr: 4.7904280362847746e-05 loss: 0.1815 (0.1932) loss_seg: 0.2022 (0.2090) loss_lansim: 0.1100 (0.1092) loss_contra: 0.0021 (0.0458) time: 2.5401 data: 0.0026 max mem: 31654 Epoch: [1] [4540/5278] eta: 0:30:56 lr: 4.790213870345451e-05 loss: 0.1812 (0.1933) loss_seg: 0.2016 (0.2091) loss_lansim: 0.1105 (0.1092) loss_contra: 0.0021 (0.0457) time: 2.5421 data: 0.0025 max mem: 31654 Epoch: [1] [4550/5278] eta: 0:30:31 lr: 4.7899997033422155e-05 loss: 0.1789 (0.1933) loss_seg: 0.1988 (0.2091) loss_lansim: 0.1069 (0.1092) loss_contra: 0.0026 (0.0457) time: 2.5366 data: 0.0025 max mem: 31654 Epoch: [1] [4560/5278] eta: 0:30:06 lr: 4.78978553527501e-05 loss: 0.1778 (0.1933) loss_seg: 0.1952 (0.2091) loss_lansim: 0.1058 (0.1092) loss_contra: 0.0026 (0.0457) time: 2.5427 data: 0.0025 max mem: 31654 Epoch: [1] [4570/5278] eta: 0:29:41 lr: 4.7895713661437774e-05 loss: 0.1778 (0.1933) loss_seg: 0.1952 (0.2091) loss_lansim: 0.1058 (0.1093) loss_contra: 0.0022 (0.0456) time: 2.5379 data: 0.0025 max mem: 31654 Epoch: [1] [4580/5278] eta: 0:29:15 lr: 4.789357195948458e-05 loss: 0.1779 (0.1932) loss_seg: 0.1976 (0.2091) loss_lansim: 0.1058 (0.1093) loss_contra: 0.0022 (0.0456) time: 2.5397 data: 0.0025 max mem: 31654 Epoch: [1] [4590/5278] eta: 0:28:50 lr: 4.789143024688995e-05 loss: 0.1751 (0.1931) loss_seg: 0.1944 (0.2090) loss_lansim: 0.1055 (0.1092) loss_contra: 0.0023 (0.0457) time: 2.5469 data: 0.0025 max mem: 31654 Epoch: [1] [4600/5278] eta: 0:28:25 lr: 4.788928852365329e-05 loss: 0.1739 (0.1931) loss_seg: 0.1935 (0.2089) loss_lansim: 0.1055 (0.1093) loss_contra: 0.0026 (0.0456) time: 2.5366 data: 0.0025 max mem: 31654 Epoch: [1] [4610/5278] eta: 0:28:00 lr: 4.7887146789774025e-05 loss: 0.1739 (0.1930) loss_seg: 0.1935 (0.2088) loss_lansim: 0.1059 (0.1093) loss_contra: 0.0023 (0.0455) time: 2.5305 data: 0.0025 max mem: 31654 Epoch: [1] [4620/5278] eta: 0:27:35 lr: 4.7885005045251577e-05 loss: 0.1709 (0.1930) loss_seg: 0.1888 (0.2088) loss_lansim: 0.1066 (0.1093) loss_contra: 0.0018 (0.0454) time: 2.5158 data: 0.0025 max mem: 31654 Epoch: [1] [4630/5278] eta: 0:27:10 lr: 4.788286329008535e-05 loss: 0.1708 (0.1930) loss_seg: 0.1858 (0.2087) loss_lansim: 0.1066 (0.1093) loss_contra: 0.0026 (0.0454) time: 2.5167 data: 0.0025 max mem: 31654 Epoch: [1] [4640/5278] eta: 0:26:44 lr: 4.7880721524274785e-05 loss: 0.1609 (0.1929) loss_seg: 0.1750 (0.2087) loss_lansim: 0.1066 (0.1093) loss_contra: 0.0026 (0.0453) time: 2.5171 data: 0.0025 max mem: 31654 Epoch: [1] [4650/5278] eta: 0:26:19 lr: 4.787857974781928e-05 loss: 0.1589 (0.1929) loss_seg: 0.1735 (0.2087) loss_lansim: 0.1068 (0.1093) loss_contra: 0.0017 (0.0453) time: 2.5100 data: 0.0025 max mem: 31654 Epoch: [1] [4660/5278] eta: 0:25:54 lr: 4.787643796071827e-05 loss: 0.1562 (0.1929) loss_seg: 0.1681 (0.2086) loss_lansim: 0.1068 (0.1093) loss_contra: 0.0017 (0.0453) time: 2.5048 data: 0.0025 max mem: 31654 Epoch: [1] [4670/5278] eta: 0:25:29 lr: 4.787429616297116e-05 loss: 0.1587 (0.1928) loss_seg: 0.1698 (0.2086) loss_lansim: 0.1062 (0.1093) loss_contra: 0.0017 (0.0452) time: 2.5067 data: 0.0025 max mem: 31654 Epoch: [1] [4680/5278] eta: 0:25:04 lr: 4.7872154354577356e-05 loss: 0.1587 (0.1928) loss_seg: 0.1698 (0.2086) loss_lansim: 0.1096 (0.1093) loss_contra: 0.0019 (0.0452) time: 2.4993 data: 0.0025 max mem: 31654 Epoch: [1] [4690/5278] eta: 0:24:39 lr: 4.787001253553631e-05 loss: 0.1667 (0.1929) loss_seg: 0.1784 (0.2086) loss_lansim: 0.1099 (0.1093) loss_contra: 0.0015 (0.0451) time: 2.4885 data: 0.0025 max mem: 31654 Epoch: [1] [4700/5278] eta: 0:24:13 lr: 4.786787070584741e-05 loss: 0.1667 (0.1928) loss_seg: 0.1759 (0.2086) loss_lansim: 0.1084 (0.1093) loss_contra: 0.0015 (0.0450) time: 2.4900 data: 0.0026 max mem: 31654 Epoch: [1] [4710/5278] eta: 0:23:48 lr: 4.7865728865510085e-05 loss: 0.1724 (0.1927) loss_seg: 0.1759 (0.2085) loss_lansim: 0.1062 (0.1093) loss_contra: 0.0019 (0.0449) time: 2.4968 data: 0.0026 max mem: 31654 Epoch: [1] [4720/5278] eta: 0:23:23 lr: 4.7863587014523753e-05 loss: 0.1724 (0.1928) loss_seg: 0.1787 (0.2086) loss_lansim: 0.1059 (0.1093) loss_contra: 0.0019 (0.0449) time: 2.4987 data: 0.0026 max mem: 31654 Epoch: [1] [4730/5278] eta: 0:22:58 lr: 4.7861445152887826e-05 loss: 0.1665 (0.1927) loss_seg: 0.1759 (0.2085) loss_lansim: 0.1051 (0.1093) loss_contra: 0.0020 (0.0448) time: 2.5041 data: 0.0026 max mem: 31654 Epoch: [1] [4740/5278] eta: 0:22:33 lr: 4.785930328060173e-05 loss: 0.1687 (0.1927) loss_seg: 0.1787 (0.2085) loss_lansim: 0.1061 (0.1093) loss_contra: 0.0019 (0.0448) time: 2.5003 data: 0.0026 max mem: 31654 Epoch: [1] [4750/5278] eta: 0:22:08 lr: 4.7857161397664886e-05 loss: 0.1687 (0.1927) loss_seg: 0.1787 (0.2085) loss_lansim: 0.1051 (0.1093) loss_contra: 0.0020 (0.0447) time: 2.5113 data: 0.0026 max mem: 31654 Epoch: [1] [4760/5278] eta: 0:21:43 lr: 4.7855019504076693e-05 loss: 0.1724 (0.1926) loss_seg: 0.1817 (0.2084) loss_lansim: 0.1040 (0.1092) loss_contra: 0.0020 (0.0447) time: 2.5199 data: 0.0027 max mem: 31654 Epoch: [1] [4770/5278] eta: 0:21:18 lr: 4.785287759983658e-05 loss: 0.1687 (0.1926) loss_seg: 0.1787 (0.2084) loss_lansim: 0.1003 (0.1092) loss_contra: 0.0018 (0.0446) time: 2.5356 data: 0.0027 max mem: 31654 Epoch: [1] [4780/5278] eta: 0:20:52 lr: 4.785073568494397e-05 loss: 0.1607 (0.1925) loss_seg: 0.1759 (0.2083) loss_lansim: 0.0987 (0.1092) loss_contra: 0.0018 (0.0446) time: 2.5304 data: 0.0027 max mem: 31654 Epoch: [1] [4790/5278] eta: 0:20:27 lr: 4.784859375939827e-05 loss: 0.1580 (0.1925) loss_seg: 0.1744 (0.2083) loss_lansim: 0.1015 (0.1092) loss_contra: 0.0025 (0.0446) time: 2.5351 data: 0.0027 max mem: 31654 Epoch: [1] [4800/5278] eta: 0:20:02 lr: 4.784645182319889e-05 loss: 0.1580 (0.1925) loss_seg: 0.1759 (0.2083) loss_lansim: 0.1015 (0.1092) loss_contra: 0.0028 (0.0446) time: 2.5348 data: 0.0026 max mem: 31654 Epoch: [1] [4810/5278] eta: 0:19:37 lr: 4.784430987634527e-05 loss: 0.1526 (0.1924) loss_seg: 0.1701 (0.2082) loss_lansim: 0.1036 (0.1093) loss_contra: 0.0024 (0.0447) time: 2.5366 data: 0.0026 max mem: 31654 Epoch: [1] [4820/5278] eta: 0:19:12 lr: 4.784216791883682e-05 loss: 0.1521 (0.1924) loss_seg: 0.1692 (0.2082) loss_lansim: 0.1051 (0.1093) loss_contra: 0.0022 (0.0447) time: 2.5413 data: 0.0026 max mem: 31654 Epoch: [1] [4830/5278] eta: 0:18:47 lr: 4.784002595067295e-05 loss: 0.1565 (0.1924) loss_seg: 0.1731 (0.2082) loss_lansim: 0.1053 (0.1093) loss_contra: 0.0018 (0.0447) time: 2.5353 data: 0.0026 max mem: 31654 Epoch: [1] [4840/5278] eta: 0:18:21 lr: 4.783788397185306e-05 loss: 0.1555 (0.1924) loss_seg: 0.1729 (0.2082) loss_lansim: 0.1033 (0.1092) loss_contra: 0.0022 (0.0446) time: 2.5450 data: 0.0026 max mem: 31654 Epoch: [1] [4850/5278] eta: 0:17:56 lr: 4.78357419823766e-05 loss: 0.1602 (0.1924) loss_seg: 0.1731 (0.2082) loss_lansim: 0.1035 (0.1092) loss_contra: 0.0022 (0.0446) time: 2.5325 data: 0.0026 max mem: 31654 Epoch: [1] [4860/5278] eta: 0:17:31 lr: 4.783359998224298e-05 loss: 0.1565 (0.1925) loss_seg: 0.1729 (0.2083) loss_lansim: 0.1038 (0.1092) loss_contra: 0.0018 (0.0446) time: 2.5267 data: 0.0026 max mem: 31654 Epoch: [1] [4870/5278] eta: 0:17:06 lr: 4.783145797145159e-05 loss: 0.1602 (0.1924) loss_seg: 0.1729 (0.2082) loss_lansim: 0.1062 (0.1092) loss_contra: 0.0024 (0.0445) time: 2.5092 data: 0.0025 max mem: 31654 Epoch: [1] [4880/5278] eta: 0:16:41 lr: 4.782931595000188e-05 loss: 0.1639 (0.1924) loss_seg: 0.1805 (0.2082) loss_lansim: 0.1040 (0.1092) loss_contra: 0.0026 (0.0445) time: 2.5145 data: 0.0025 max mem: 31654 Epoch: [1] [4890/5278] eta: 0:16:16 lr: 4.7827173917893245e-05 loss: 0.1602 (0.1923) loss_seg: 0.1745 (0.2081) loss_lansim: 0.1006 (0.1091) loss_contra: 0.0019 (0.0445) time: 2.5240 data: 0.0025 max mem: 31654 Epoch: [1] [4900/5278] eta: 0:15:51 lr: 4.782503187512511e-05 loss: 0.1648 (0.1923) loss_seg: 0.1810 (0.2081) loss_lansim: 0.1020 (0.1091) loss_contra: 0.0021 (0.0444) time: 2.5324 data: 0.0025 max mem: 31654 Epoch: [1] [4910/5278] eta: 0:15:25 lr: 4.782288982169689e-05 loss: 0.1696 (0.1924) loss_seg: 0.1843 (0.2082) loss_lansim: 0.1006 (0.1091) loss_contra: 0.0020 (0.0444) time: 2.5284 data: 0.0024 max mem: 31654 Epoch: [1] [4920/5278] eta: 0:15:00 lr: 4.7820747757608e-05 loss: 0.1696 (0.1923) loss_seg: 0.1843 (0.2081) loss_lansim: 0.1006 (0.1091) loss_contra: 0.0026 (0.0446) time: 2.5293 data: 0.0024 max mem: 31654 Epoch: [1] [4930/5278] eta: 0:14:35 lr: 4.781860568285787e-05 loss: 0.1698 (0.1923) loss_seg: 0.1875 (0.2081) loss_lansim: 0.1006 (0.1091) loss_contra: 0.0031 (0.0445) time: 2.5347 data: 0.0024 max mem: 31654 Epoch: [1] [4940/5278] eta: 0:14:10 lr: 4.7816463597445884e-05 loss: 0.1701 (0.1923) loss_seg: 0.1886 (0.2081) loss_lansim: 0.1037 (0.1091) loss_contra: 0.0031 (0.0445) time: 2.5315 data: 0.0024 max mem: 31654 Epoch: [1] [4950/5278] eta: 0:13:45 lr: 4.78143215013715e-05 loss: 0.1650 (0.1922) loss_seg: 0.1810 (0.2080) loss_lansim: 0.1040 (0.1091) loss_contra: 0.0037 (0.0445) time: 2.5427 data: 0.0023 max mem: 31654 Epoch: [1] [4960/5278] eta: 0:13:20 lr: 4.78121793946341e-05 loss: 0.1650 (0.1921) loss_seg: 0.1810 (0.2079) loss_lansim: 0.1052 (0.1091) loss_contra: 0.0054 (0.0444) time: 2.5422 data: 0.0024 max mem: 31654 Epoch: [1] [4970/5278] eta: 0:12:55 lr: 4.781003727723311e-05 loss: 0.1667 (0.1921) loss_seg: 0.1836 (0.2079) loss_lansim: 0.1040 (0.1091) loss_contra: 0.0054 (0.0444) time: 2.5471 data: 0.0024 max mem: 31654 Epoch: [1] [4980/5278] eta: 0:12:29 lr: 4.780789514916795e-05 loss: 0.1667 (0.1920) loss_seg: 0.1820 (0.2078) loss_lansim: 0.1037 (0.1090) loss_contra: 0.0057 (0.0444) time: 2.5486 data: 0.0024 max mem: 31654 Epoch: [1] [4990/5278] eta: 0:12:04 lr: 4.780575301043805e-05 loss: 0.1667 (0.1920) loss_seg: 0.1820 (0.2077) loss_lansim: 0.1014 (0.1090) loss_contra: 0.0061 (0.0444) time: 2.5382 data: 0.0024 max mem: 31654 Epoch: [1] [5000/5278] eta: 0:11:39 lr: 4.7803610861042796e-05 loss: 0.1626 (0.1920) loss_seg: 0.1770 (0.2077) loss_lansim: 0.1009 (0.1090) loss_contra: 0.0061 (0.0443) time: 2.5251 data: 0.0024 max mem: 31654 Epoch: [1] [5010/5278] eta: 0:11:14 lr: 4.780146870098162e-05 loss: 0.1584 (0.1920) loss_seg: 0.1713 (0.2078) loss_lansim: 0.1008 (0.1090) loss_contra: 0.0057 (0.0442) time: 2.5199 data: 0.0024 max mem: 31654 Epoch: [1] [5020/5278] eta: 0:10:49 lr: 4.7799326530253934e-05 loss: 0.1626 (0.1921) loss_seg: 0.1795 (0.2078) loss_lansim: 0.1009 (0.1090) loss_contra: 0.0051 (0.0443) time: 2.5161 data: 0.0024 max mem: 31654 Epoch: [1] [5030/5278] eta: 0:10:23 lr: 4.7797184348859166e-05 loss: 0.1580 (0.1920) loss_seg: 0.1713 (0.2078) loss_lansim: 0.0982 (0.1090) loss_contra: 0.0049 (0.0443) time: 2.5058 data: 0.0025 max mem: 31654 Epoch: [1] [5040/5278] eta: 0:09:58 lr: 4.7795042156796716e-05 loss: 0.1538 (0.1920) loss_seg: 0.1702 (0.2077) loss_lansim: 0.1006 (0.1090) loss_contra: 0.0048 (0.0444) time: 2.5142 data: 0.0025 max mem: 31654 Epoch: [1] [5050/5278] eta: 0:09:33 lr: 4.779289995406601e-05 loss: 0.1584 (0.1919) loss_seg: 0.1752 (0.2077) loss_lansim: 0.1008 (0.1090) loss_contra: 0.0041 (0.0444) time: 2.5092 data: 0.0025 max mem: 31654 Epoch: [1] [5060/5278] eta: 0:09:08 lr: 4.7790757740666445e-05 loss: 0.1626 (0.1918) loss_seg: 0.1760 (0.2076) loss_lansim: 0.1009 (0.1090) loss_contra: 0.0026 (0.0443) time: 2.5141 data: 0.0025 max mem: 31654 Epoch: [1] [5070/5278] eta: 0:08:43 lr: 4.7788615516597466e-05 loss: 0.1629 (0.1919) loss_seg: 0.1796 (0.2077) loss_lansim: 0.1040 (0.1090) loss_contra: 0.0030 (0.0443) time: 2.5133 data: 0.0025 max mem: 31654 Epoch: [1] [5080/5278] eta: 0:08:18 lr: 4.778647328185846e-05 loss: 0.1648 (0.1919) loss_seg: 0.1795 (0.2077) loss_lansim: 0.1087 (0.1091) loss_contra: 0.0026 (0.0444) time: 2.5092 data: 0.0025 max mem: 31654 Epoch: [1] [5090/5278] eta: 0:07:53 lr: 4.7784331036448865e-05 loss: 0.1724 (0.1920) loss_seg: 0.1851 (0.2077) loss_lansim: 0.1115 (0.1091) loss_contra: 0.0026 (0.0443) time: 2.5025 data: 0.0025 max mem: 31654 Epoch: [1] [5100/5278] eta: 0:07:27 lr: 4.778218878036808e-05 loss: 0.1718 (0.1920) loss_seg: 0.1846 (0.2077) loss_lansim: 0.1115 (0.1091) loss_contra: 0.0024 (0.0443) time: 2.5000 data: 0.0025 max mem: 31654 Epoch: [1] [5110/5278] eta: 0:07:02 lr: 4.778004651361554e-05 loss: 0.1727 (0.1919) loss_seg: 0.1851 (0.2077) loss_lansim: 0.1113 (0.1091) loss_contra: 0.0024 (0.0442) time: 2.5076 data: 0.0025 max mem: 31654 Epoch: [1] [5120/5278] eta: 0:06:37 lr: 4.777790423619064e-05 loss: 0.1683 (0.1919) loss_seg: 0.1821 (0.2076) loss_lansim: 0.1105 (0.1091) loss_contra: 0.0021 (0.0442) time: 2.5161 data: 0.0025 max mem: 31654 Epoch: [1] [5130/5278] eta: 0:06:12 lr: 4.777576194809279e-05 loss: 0.1718 (0.1918) loss_seg: 0.1846 (0.2076) loss_lansim: 0.1104 (0.1091) loss_contra: 0.0024 (0.0441) time: 2.5178 data: 0.0025 max mem: 31654 Epoch: [1] [5140/5278] eta: 0:05:47 lr: 4.777361964932143e-05 loss: 0.1727 (0.1918) loss_seg: 0.1851 (0.2075) loss_lansim: 0.1091 (0.1091) loss_contra: 0.0024 (0.0441) time: 2.5128 data: 0.0025 max mem: 31654 Epoch: [1] [5150/5278] eta: 0:05:22 lr: 4.777147733987595e-05 loss: 0.1716 (0.1917) loss_seg: 0.1846 (0.2074) loss_lansim: 0.1094 (0.1091) loss_contra: 0.0024 (0.0441) time: 2.5090 data: 0.0025 max mem: 31654 Epoch: [1] [5160/5278] eta: 0:04:56 lr: 4.7769335019755796e-05 loss: 0.1718 (0.1917) loss_seg: 0.1851 (0.2074) loss_lansim: 0.1079 (0.1090) loss_contra: 0.0026 (0.0440) time: 2.5076 data: 0.0025 max mem: 31654 Epoch: [1] [5170/5278] eta: 0:04:31 lr: 4.776719268896035e-05 loss: 0.1710 (0.1918) loss_seg: 0.1846 (0.2075) loss_lansim: 0.1054 (0.1090) loss_contra: 0.0034 (0.0440) time: 2.5089 data: 0.0025 max mem: 31654 Epoch: [1] [5180/5278] eta: 0:04:06 lr: 4.7765050347489044e-05 loss: 0.1641 (0.1917) loss_seg: 0.1727 (0.2074) loss_lansim: 0.1030 (0.1090) loss_contra: 0.0030 (0.0440) time: 2.5108 data: 0.0025 max mem: 31654 Epoch: [1] [5190/5278] eta: 0:03:41 lr: 4.776290799534129e-05 loss: 0.1600 (0.1916) loss_seg: 0.1674 (0.2073) loss_lansim: 0.1013 (0.1090) loss_contra: 0.0038 (0.0440) time: 2.5119 data: 0.0025 max mem: 31654 Epoch: [1] [5200/5278] eta: 0:03:16 lr: 4.776076563251651e-05 loss: 0.1620 (0.1916) loss_seg: 0.1698 (0.2073) loss_lansim: 0.1004 (0.1090) loss_contra: 0.0038 (0.0439) time: 2.5149 data: 0.0025 max mem: 31654 Epoch: [1] [5210/5278] eta: 0:02:51 lr: 4.775862325901409e-05 loss: 0.1634 (0.1915) loss_seg: 0.1698 (0.2072) loss_lansim: 0.0982 (0.1089) loss_contra: 0.0028 (0.0439) time: 2.5053 data: 0.0025 max mem: 31654 Epoch: [1] [5220/5278] eta: 0:02:25 lr: 4.7756480874833485e-05 loss: 0.1636 (0.1915) loss_seg: 0.1727 (0.2072) loss_lansim: 0.0943 (0.1089) loss_contra: 0.0030 (0.0440) time: 2.5013 data: 0.0025 max mem: 31654 Epoch: [1] [5230/5278] eta: 0:02:00 lr: 4.775433847997409e-05 loss: 0.1641 (0.1915) loss_seg: 0.1763 (0.2072) loss_lansim: 0.0959 (0.1089) loss_contra: 0.0030 (0.0440) time: 2.5154 data: 0.0025 max mem: 31654 Epoch: [1] [5240/5278] eta: 0:01:35 lr: 4.775219607443531e-05 loss: 0.1698 (0.1916) loss_seg: 0.1847 (0.2073) loss_lansim: 0.0978 (0.1089) loss_contra: 0.0030 (0.0440) time: 2.5125 data: 0.0025 max mem: 31654 Epoch: [1] [5250/5278] eta: 0:01:10 lr: 4.775005365821658e-05 loss: 0.1713 (0.1917) loss_seg: 0.1897 (0.2074) loss_lansim: 0.0969 (0.1089) loss_contra: 0.0030 (0.0439) time: 2.5173 data: 0.0025 max mem: 31654 Epoch: [1] [5260/5278] eta: 0:00:45 lr: 4.7747911231317285e-05 loss: 0.1745 (0.1917) loss_seg: 0.1907 (0.2074) loss_lansim: 0.0949 (0.1089) loss_contra: 0.0035 (0.0440) time: 2.5193 data: 0.0025 max mem: 31654 Epoch: [1] [5270/5278] eta: 0:00:20 lr: 4.7745768793736874e-05 loss: 0.1745 (0.1917) loss_seg: 0.1907 (0.2074) loss_lansim: 0.0969 (0.1089) loss_contra: 0.0030 (0.0440) time: 2.5246 data: 0.0024 max mem: 31654 Epoch: [1] Total time: 3:41:21 Test: [ 0/2573] eta: 1:25:09 time: 1.9858 data: 1.5544 max mem: 31654 Test: [ 100/2573] eta: 0:06:32 time: 0.1406 data: 0.0015 max mem: 31654 Test: [ 200/2573] eta: 0:06:02 time: 0.1465 data: 0.0014 max mem: 31654 Test: [ 300/2573] eta: 0:05:38 time: 0.1415 data: 0.0017 max mem: 31654 Test: [ 400/2573] eta: 0:05:20 time: 0.1439 data: 0.0015 max mem: 31654 Test: [ 500/2573] eta: 0:05:05 time: 0.1451 data: 0.0014 max mem: 31654 Test: [ 600/2573] eta: 0:04:49 time: 0.1459 data: 0.0014 max mem: 31654 Test: [ 700/2573] eta: 0:04:36 time: 0.1501 data: 0.0015 max mem: 31654 Test: [ 800/2573] eta: 0:04:21 time: 0.1467 data: 0.0015 max mem: 31654 Test: [ 900/2573] eta: 0:04:06 time: 0.1474 data: 0.0015 max mem: 31654 Test: [1000/2573] eta: 0:03:51 time: 0.1456 data: 0.0016 max mem: 31654 Test: [1100/2573] eta: 0:03:36 time: 0.1436 data: 0.0015 max mem: 31654 Test: [1200/2573] eta: 0:03:21 time: 0.1474 data: 0.0015 max mem: 31654 Test: [1300/2573] eta: 0:03:06 time: 0.1464 data: 0.0014 max mem: 31654 Test: [1400/2573] eta: 0:02:51 time: 0.1416 data: 0.0014 max mem: 31654 Test: [1500/2573] eta: 0:02:37 time: 0.1445 data: 0.0014 max mem: 31654 Test: [1600/2573] eta: 0:02:22 time: 0.1458 data: 0.0015 max mem: 31654 Test: [1700/2573] eta: 0:02:07 time: 0.1451 data: 0.0015 max mem: 31654 Test: [1800/2573] eta: 0:01:52 time: 0.1428 data: 0.0015 max mem: 31654 Test: [1900/2573] eta: 0:01:38 time: 0.1414 data: 0.0015 max mem: 31654 Test: [2000/2573] eta: 0:01:23 time: 0.1416 data: 0.0014 max mem: 31654 Test: [2100/2573] eta: 0:01:08 time: 0.1458 data: 0.0015 max mem: 31654 Test: [2200/2573] eta: 0:00:54 time: 0.1422 data: 0.0015 max mem: 31654 Test: [2300/2573] eta: 0:00:39 time: 0.1470 data: 0.0016 max mem: 31654 Test: [2400/2573] eta: 0:00:25 time: 0.1447 data: 0.0015 max mem: 31654 Test: [2500/2573] eta: 0:00:10 time: 0.1465 data: 0.0015 max mem: 31654 Test: Total time: 0:06:14 Final results: precision@0.5 = 44.61 precision@0.6 = 35.54 precision@0.7 = 26.29 precision@0.8 = 15.65 precision@0.9 = 4.66 overall IoU = 44.55 mean IoU = 43.73 Average object IoU 0.43725684347378585 Overall IoU 44.54994982816502 Better epoch: 1 The best_performance is 44.54994982816502 Epoch: [2] [ 0/5278] eta: 6:09:04 lr: 4.7744054835981725e-05 loss: 0.1760 (0.1760) loss_seg: 0.1961 (0.1961) loss_lansim: 0.1035 (0.1035) loss_contra: 0.0039 (0.0039) time: 4.1957 data: 1.2817 max mem: 31654 Epoch: [2] [ 10/5278] eta: 3:52:53 lr: 4.7741912379173795e-05 loss: 0.1760 (0.1896) loss_seg: 0.1961 (0.2083) loss_lansim: 0.1152 (0.1197) loss_contra: 0.0023 (0.0045) time: 2.6525 data: 0.1183 max mem: 31654 Epoch: [2] [ 20/5278] eta: 3:45:45 lr: 4.77397699116831e-05 loss: 0.1605 (0.1765) loss_seg: 0.1786 (0.1937) loss_lansim: 0.1123 (0.1105) loss_contra: 0.0018 (0.0161) time: 2.5762 data: 0.0628 max mem: 31654 Epoch: [2] [ 30/5278] eta: 3:43:23 lr: 4.773762743350903e-05 loss: 0.1760 (0.1959) loss_seg: 0.1961 (0.2128) loss_lansim: 0.1123 (0.1085) loss_contra: 0.0023 (0.0177) time: 2.5541 data: 0.0434 max mem: 31654 Epoch: [2] [ 40/5278] eta: 3:42:27 lr: 4.773548494465102e-05 loss: 0.1755 (0.1883) loss_seg: 0.1875 (0.2040) loss_lansim: 0.1031 (0.1068) loss_contra: 0.0023 (0.0187) time: 2.5483 data: 0.0334 max mem: 31654 Epoch: [2] [ 50/5278] eta: 3:41:40 lr: 4.773334244510848e-05 loss: 0.1755 (0.1950) loss_seg: 0.1875 (0.2104) loss_lansim: 0.1123 (0.1093) loss_contra: 0.0027 (0.0233) time: 2.5440 data: 0.0274 max mem: 31654 Epoch: [2] [ 60/5278] eta: 3:40:03 lr: 4.773119993488083e-05 loss: 0.1622 (0.1868) loss_seg: 0.1787 (0.2021) loss_lansim: 0.1081 (0.1091) loss_contra: 0.0027 (0.0209) time: 2.5304 data: 0.0234 max mem: 31654 Epoch: [2] [ 70/5278] eta: 3:39:07 lr: 4.772905741396747e-05 loss: 0.1655 (0.1881) loss_seg: 0.1842 (0.2038) loss_lansim: 0.1086 (0.1087) loss_contra: 0.0028 (0.0210) time: 2.5245 data: 0.0205 max mem: 31654 Epoch: [2] [ 80/5278] eta: 3:38:21 lr: 4.772691488236782e-05 loss: 0.1655 (0.1859) loss_seg: 0.1787 (0.2013) loss_lansim: 0.1086 (0.1081) loss_contra: 0.0028 (0.0212) time: 2.5205 data: 0.0182 max mem: 31654 Epoch: [2] [ 90/5278] eta: 3:37:54 lr: 4.772477234008129e-05 loss: 0.1606 (0.1826) loss_seg: 0.1725 (0.1974) loss_lansim: 0.1121 (0.1101) loss_contra: 0.0027 (0.0193) time: 2.5202 data: 0.0165 max mem: 31654 Epoch: [2] [ 100/5278] eta: 3:37:07 lr: 4.7722629787107306e-05 loss: 0.1573 (0.1802) loss_seg: 0.1663 (0.1950) loss_lansim: 0.1111 (0.1096) loss_contra: 0.0022 (0.0194) time: 2.4992 data: 0.0025 max mem: 31654 Epoch: [2] [ 110/5278] eta: 3:36:47 lr: 4.772048722344527e-05 loss: 0.1547 (0.1781) loss_seg: 0.1650 (0.1925) loss_lansim: 0.1086 (0.1099) loss_contra: 0.0021 (0.0195) time: 2.5019 data: 0.0026 max mem: 31654 Epoch: [2] [ 120/5278] eta: 3:36:38 lr: 4.7718344649094596e-05 loss: 0.1545 (0.1783) loss_seg: 0.1663 (0.1925) loss_lansim: 0.1081 (0.1090) loss_contra: 0.0019 (0.0226) time: 2.5082 data: 0.0027 max mem: 31654 Epoch: [2] [ 130/5278] eta: 3:36:32 lr: 4.7716202064054706e-05 loss: 0.1524 (0.1752) loss_seg: 0.1613 (0.1892) loss_lansim: 0.1074 (0.1079) loss_contra: 0.0017 (0.0229) time: 2.5143 data: 0.0027 max mem: 31654 Epoch: [2] [ 140/5278] eta: 3:35:55 lr: 4.7714059468325e-05 loss: 0.1501 (0.1741) loss_seg: 0.1605 (0.1876) loss_lansim: 0.1074 (0.1073) loss_contra: 0.0019 (0.0244) time: 2.5106 data: 0.0026 max mem: 31654 Epoch: [2] [ 150/5278] eta: 3:35:27 lr: 4.771191686190491e-05 loss: 0.1525 (0.1834) loss_seg: 0.1636 (0.1975) loss_lansim: 0.1055 (0.1069) loss_contra: 0.0019 (0.0275) time: 2.5093 data: 0.0027 max mem: 31654 Epoch: [2] [ 160/5278] eta: 3:34:49 lr: 4.7709774244793834e-05 loss: 0.1547 (0.1833) loss_seg: 0.1698 (0.1973) loss_lansim: 0.1071 (0.1077) loss_contra: 0.0021 (0.0292) time: 2.5112 data: 0.0026 max mem: 31654 Epoch: [2] [ 170/5278] eta: 3:34:04 lr: 4.770763161699118e-05 loss: 0.1544 (0.1805) loss_seg: 0.1656 (0.1944) loss_lansim: 0.1054 (0.1075) loss_contra: 0.0018 (0.0332) time: 2.5077 data: 0.0026 max mem: 31654 Epoch: [2] [ 180/5278] eta: 3:33:40 lr: 4.770548897849638e-05 loss: 0.1545 (0.1801) loss_seg: 0.1650 (0.1939) loss_lansim: 0.1054 (0.1073) loss_contra: 0.0017 (0.0340) time: 2.5103 data: 0.0026 max mem: 31654 Epoch: [2] [ 190/5278] eta: 3:33:18 lr: 4.770334632930883e-05 loss: 0.1545 (0.1777) loss_seg: 0.1698 (0.1914) loss_lansim: 0.1054 (0.1079) loss_contra: 0.0018 (0.0403) time: 2.5111 data: 0.0026 max mem: 31654 Epoch: [2] [ 200/5278] eta: 3:32:51 lr: 4.770120366942796e-05 loss: 0.1580 (0.1784) loss_seg: 0.1720 (0.1925) loss_lansim: 0.1063 (0.1081) loss_contra: 0.0018 (0.0404) time: 2.5142 data: 0.0026 max mem: 31654 Epoch: [2] [ 210/5278] eta: 3:32:51 lr: 4.7699060998853164e-05 loss: 0.1581 (0.1776) loss_seg: 0.1704 (0.1917) loss_lansim: 0.1066 (0.1082) loss_contra: 0.0020 (0.0419) time: 2.5234 data: 0.0026 max mem: 31654 Epoch: [2] [ 220/5278] eta: 3:32:18 lr: 4.769691831758387e-05 loss: 0.1581 (0.1767) loss_seg: 0.1704 (0.1908) loss_lansim: 0.1064 (0.1077) loss_contra: 0.0036 (0.0455) time: 2.5165 data: 0.0026 max mem: 31654 Epoch: [2] [ 230/5278] eta: 3:31:53 lr: 4.7694775625619485e-05 loss: 0.1583 (0.1758) loss_seg: 0.1706 (0.1899) loss_lansim: 0.1066 (0.1072) loss_contra: 0.0036 (0.0438) time: 2.5119 data: 0.0026 max mem: 31654 Epoch: [2] [ 240/5278] eta: 3:31:22 lr: 4.769263292295942e-05 loss: 0.1583 (0.1758) loss_seg: 0.1706 (0.1897) loss_lansim: 0.1064 (0.1067) loss_contra: 0.0026 (0.0433) time: 2.5114 data: 0.0026 max mem: 31654 Epoch: [2] [ 250/5278] eta: 3:31:01 lr: 4.7690490209603086e-05 loss: 0.1581 (0.1780) loss_seg: 0.1701 (0.1920) loss_lansim: 0.1066 (0.1067) loss_contra: 0.0026 (0.0438) time: 2.5138 data: 0.0026 max mem: 31654 Epoch: [2] [ 260/5278] eta: 3:30:44 lr: 4.76883474855499e-05 loss: 0.1581 (0.1796) loss_seg: 0.1701 (0.1940) loss_lansim: 0.1066 (0.1071) loss_contra: 0.0026 (0.0458) time: 2.5218 data: 0.0026 max mem: 31654 Epoch: [2] [ 270/5278] eta: 3:30:24 lr: 4.768620475079928e-05 loss: 0.1621 (0.1802) loss_seg: 0.1805 (0.1949) loss_lansim: 0.1065 (0.1070) loss_contra: 0.0031 (0.0444) time: 2.5316 data: 0.0026 max mem: 31654 Epoch: [2] [ 280/5278] eta: 3:29:59 lr: 4.768406200535063e-05 loss: 0.1608 (0.1796) loss_seg: 0.1759 (0.1942) loss_lansim: 0.1064 (0.1067) loss_contra: 0.0038 (0.0434) time: 2.5319 data: 0.0026 max mem: 31654 Epoch: [2] [ 290/5278] eta: 3:29:22 lr: 4.768191924920336e-05 loss: 0.1634 (0.1800) loss_seg: 0.1816 (0.1946) loss_lansim: 0.1049 (0.1066) loss_contra: 0.0035 (0.0433) time: 2.5246 data: 0.0026 max mem: 31654 Epoch: [2] [ 300/5278] eta: 3:29:02 lr: 4.767977648235689e-05 loss: 0.1621 (0.1792) loss_seg: 0.1804 (0.1938) loss_lansim: 0.1041 (0.1065) loss_contra: 0.0035 (0.0436) time: 2.5286 data: 0.0026 max mem: 31654 Epoch: [2] [ 310/5278] eta: 3:28:25 lr: 4.767763370481063e-05 loss: 0.1621 (0.1788) loss_seg: 0.1804 (0.1932) loss_lansim: 0.1018 (0.1060) loss_contra: 0.0031 (0.0448) time: 2.5115 data: 0.0026 max mem: 31654 Epoch: [2] [ 320/5278] eta: 3:27:58 lr: 4.7675490916563985e-05 loss: 0.1621 (0.1781) loss_seg: 0.1805 (0.1926) loss_lansim: 0.1018 (0.1058) loss_contra: 0.0024 (0.0435) time: 2.5135 data: 0.0026 max mem: 31654 Epoch: [2] [ 330/5278] eta: 3:27:39 lr: 4.767334811761638e-05 loss: 0.1618 (0.1776) loss_seg: 0.1771 (0.1918) loss_lansim: 0.0998 (0.1053) loss_contra: 0.0019 (0.0422) time: 2.5168 data: 0.0026 max mem: 31654 Epoch: [2] [ 340/5278] eta: 3:27:02 lr: 4.767120530796722e-05 loss: 0.1621 (0.1781) loss_seg: 0.1805 (0.1924) loss_lansim: 0.1025 (0.1053) loss_contra: 0.0018 (0.0428) time: 2.5119 data: 0.0025 max mem: 31654 Epoch: [2] [ 350/5278] eta: 3:26:42 lr: 4.7669062487615926e-05 loss: 0.1618 (0.1778) loss_seg: 0.1771 (0.1921) loss_lansim: 0.0999 (0.1048) loss_contra: 0.0019 (0.0435) time: 2.5134 data: 0.0026 max mem: 31654 Epoch: [2] [ 360/5278] eta: 3:26:19 lr: 4.766691965656189e-05 loss: 0.1525 (0.1767) loss_seg: 0.1696 (0.1910) loss_lansim: 0.0992 (0.1045) loss_contra: 0.0014 (0.0423) time: 2.5103 data: 0.0026 max mem: 31654 Epoch: [2] [ 370/5278] eta: 3:25:58 lr: 4.7664776814804535e-05 loss: 0.1504 (0.1762) loss_seg: 0.1621 (0.1904) loss_lansim: 0.0979 (0.1044) loss_contra: 0.0014 (0.0415) time: 2.5104 data: 0.0026 max mem: 31654 Epoch: [2] [ 380/5278] eta: 3:25:37 lr: 4.766263396234328e-05 loss: 0.1504 (0.1754) loss_seg: 0.1621 (0.1896) loss_lansim: 0.0979 (0.1045) loss_contra: 0.0014 (0.0425) time: 2.5129 data: 0.0026 max mem: 31654 Epoch: [2] [ 390/5278] eta: 3:25:16 lr: 4.766049109917752e-05 loss: 0.1464 (0.1761) loss_seg: 0.1570 (0.1901) loss_lansim: 0.0992 (0.1046) loss_contra: 0.0012 (0.0416) time: 2.5229 data: 0.0026 max mem: 31654 Epoch: [2] [ 400/5278] eta: 3:24:53 lr: 4.7658348225306694e-05 loss: 0.1464 (0.1755) loss_seg: 0.1570 (0.1896) loss_lansim: 0.0989 (0.1045) loss_contra: 0.0012 (0.0410) time: 2.5220 data: 0.0026 max mem: 31654 Epoch: [2] [ 410/5278] eta: 3:24:38 lr: 4.7656205340730184e-05 loss: 0.1522 (0.1757) loss_seg: 0.1619 (0.1898) loss_lansim: 0.0995 (0.1045) loss_contra: 0.0014 (0.0403) time: 2.5384 data: 0.0025 max mem: 31654 Epoch: [2] [ 420/5278] eta: 3:24:16 lr: 4.765406244544742e-05 loss: 0.1522 (0.1753) loss_seg: 0.1642 (0.1894) loss_lansim: 0.0999 (0.1045) loss_contra: 0.0015 (0.0401) time: 2.5426 data: 0.0025 max mem: 31654 Epoch: [2] [ 430/5278] eta: 3:23:51 lr: 4.7651919539457804e-05 loss: 0.1573 (0.1756) loss_seg: 0.1688 (0.1898) loss_lansim: 0.1020 (0.1048) loss_contra: 0.0025 (0.0422) time: 2.5396 data: 0.0025 max mem: 31654 Epoch: [2] [ 440/5278] eta: 3:23:34 lr: 4.764977662276076e-05 loss: 0.1540 (0.1761) loss_seg: 0.1642 (0.1904) loss_lansim: 0.0995 (0.1045) loss_contra: 0.0025 (0.0413) time: 2.5547 data: 0.0026 max mem: 31654 Epoch: [2] [ 450/5278] eta: 3:23:09 lr: 4.7647633695355684e-05 loss: 0.1540 (0.1755) loss_seg: 0.1642 (0.1897) loss_lansim: 0.1020 (0.1046) loss_contra: 0.0015 (0.0418) time: 2.5528 data: 0.0025 max mem: 31654 Epoch: [2] [ 460/5278] eta: 3:22:31 lr: 4.7645490757242e-05 loss: 0.1606 (0.1751) loss_seg: 0.1688 (0.1892) loss_lansim: 0.1021 (0.1046) loss_contra: 0.0026 (0.0416) time: 2.5401 data: 0.0025 max mem: 31654 Epoch: [2] [ 470/5278] eta: 3:22:08 lr: 4.764334780841911e-05 loss: 0.1649 (0.1762) loss_seg: 0.1807 (0.1905) loss_lansim: 0.1022 (0.1044) loss_contra: 0.0024 (0.0412) time: 2.5393 data: 0.0025 max mem: 31654 Epoch: [2] [ 480/5278] eta: 3:21:47 lr: 4.7641204848886436e-05 loss: 0.1660 (0.1758) loss_seg: 0.1815 (0.1901) loss_lansim: 0.1022 (0.1045) loss_contra: 0.0019 (0.0410) time: 2.5406 data: 0.0025 max mem: 31654 Epoch: [2] [ 490/5278] eta: 3:21:13 lr: 4.763906187864338e-05 loss: 0.1660 (0.1758) loss_seg: 0.1815 (0.1901) loss_lansim: 0.1031 (0.1045) loss_contra: 0.0019 (0.0404) time: 2.5290 data: 0.0025 max mem: 31654 Epoch: [2] [ 500/5278] eta: 3:20:48 lr: 4.7636918897689347e-05 loss: 0.1660 (0.1757) loss_seg: 0.1815 (0.1900) loss_lansim: 0.1035 (0.1045) loss_contra: 0.0016 (0.0397) time: 2.5277 data: 0.0025 max mem: 31654 Epoch: [2] [ 510/5278] eta: 3:20:26 lr: 4.763477590602376e-05 loss: 0.1660 (0.1760) loss_seg: 0.1830 (0.1905) loss_lansim: 0.1035 (0.1042) loss_contra: 0.0016 (0.0391) time: 2.5217 data: 0.0025 max mem: 31654 Epoch: [2] [ 520/5278] eta: 3:19:55 lr: 4.763263290364603e-05 loss: 0.1690 (0.1761) loss_seg: 0.1857 (0.1907) loss_lansim: 0.1035 (0.1042) loss_contra: 0.0012 (0.0386) time: 2.5136 data: 0.0025 max mem: 31654 Epoch: [2] [ 530/5278] eta: 3:19:39 lr: 4.763048989055556e-05 loss: 0.1687 (0.1759) loss_seg: 0.1835 (0.1905) loss_lansim: 0.1032 (0.1043) loss_contra: 0.0013 (0.0391) time: 2.5233 data: 0.0025 max mem: 31654 Epoch: [2] [ 540/5278] eta: 3:19:18 lr: 4.762834686675177e-05 loss: 0.1687 (0.1769) loss_seg: 0.1835 (0.1917) loss_lansim: 0.1035 (0.1044) loss_contra: 0.0013 (0.0399) time: 2.5210 data: 0.0025 max mem: 31654 Epoch: [2] [ 550/5278] eta: 3:18:49 lr: 4.7626203832234065e-05 loss: 0.1687 (0.1770) loss_seg: 0.1839 (0.1917) loss_lansim: 0.1035 (0.1046) loss_contra: 0.0012 (0.0393) time: 2.5160 data: 0.0025 max mem: 31654 Epoch: [2] [ 560/5278] eta: 3:18:25 lr: 4.762406078700185e-05 loss: 0.1664 (0.1766) loss_seg: 0.1831 (0.1914) loss_lansim: 0.1035 (0.1045) loss_contra: 0.0013 (0.0404) time: 2.5293 data: 0.0024 max mem: 31654 Epoch: [2] [ 570/5278] eta: 3:18:00 lr: 4.762191773105455e-05 loss: 0.1646 (0.1761) loss_seg: 0.1783 (0.1908) loss_lansim: 0.1043 (0.1045) loss_contra: 0.0010 (0.0408) time: 2.5278 data: 0.0024 max mem: 31654 Epoch: [2] [ 580/5278] eta: 3:17:37 lr: 4.761977466439157e-05 loss: 0.1664 (0.1767) loss_seg: 0.1829 (0.1913) loss_lansim: 0.1032 (0.1047) loss_contra: 0.0012 (0.0413) time: 2.5270 data: 0.0024 max mem: 31654 Epoch: [2] [ 590/5278] eta: 3:17:14 lr: 4.761763158701232e-05 loss: 0.1687 (0.1764) loss_seg: 0.1829 (0.1910) loss_lansim: 0.1018 (0.1047) loss_contra: 0.0013 (0.0409) time: 2.5378 data: 0.0024 max mem: 31654 Epoch: [2] [ 600/5278] eta: 3:16:49 lr: 4.761548849891621e-05 loss: 0.1700 (0.1760) loss_seg: 0.1829 (0.1905) loss_lansim: 0.1009 (0.1046) loss_contra: 0.0013 (0.0404) time: 2.5383 data: 0.0025 max mem: 31654 Epoch: [2] [ 610/5278] eta: 3:16:26 lr: 4.761334540010264e-05 loss: 0.1664 (0.1761) loss_seg: 0.1758 (0.1906) loss_lansim: 0.1004 (0.1045) loss_contra: 0.0010 (0.0398) time: 2.5384 data: 0.0025 max mem: 31654 Epoch: [2] [ 620/5278] eta: 3:16:01 lr: 4.7611202290571035e-05 loss: 0.1662 (0.1763) loss_seg: 0.1758 (0.1909) loss_lansim: 0.1004 (0.1044) loss_contra: 0.0010 (0.0391) time: 2.5452 data: 0.0025 max mem: 31654 Epoch: [2] [ 630/5278] eta: 3:15:36 lr: 4.760905917032081e-05 loss: 0.1662 (0.1761) loss_seg: 0.1758 (0.1905) loss_lansim: 0.0993 (0.1044) loss_contra: 0.0008 (0.0387) time: 2.5352 data: 0.0025 max mem: 31654 Epoch: [2] [ 640/5278] eta: 3:15:06 lr: 4.760691603935136e-05 loss: 0.1662 (0.1767) loss_seg: 0.1758 (0.1911) loss_lansim: 0.0989 (0.1043) loss_contra: 0.0008 (0.0381) time: 2.5244 data: 0.0025 max mem: 31654 Epoch: [2] [ 650/5278] eta: 3:14:34 lr: 4.76047728976621e-05 loss: 0.1661 (0.1764) loss_seg: 0.1768 (0.1909) loss_lansim: 0.0994 (0.1046) loss_contra: 0.0006 (0.0378) time: 2.5200 data: 0.0025 max mem: 31654 Epoch: [2] [ 660/5278] eta: 3:14:05 lr: 4.7602629745252435e-05 loss: 0.1637 (0.1761) loss_seg: 0.1747 (0.1904) loss_lansim: 0.1003 (0.1046) loss_contra: 0.0006 (0.0374) time: 2.5125 data: 0.0026 max mem: 31654 Epoch: [2] [ 670/5278] eta: 3:13:41 lr: 4.760048658212179e-05 loss: 0.1637 (0.1758) loss_seg: 0.1747 (0.1902) loss_lansim: 0.0993 (0.1044) loss_contra: 0.0008 (0.0373) time: 2.5138 data: 0.0026 max mem: 31654 Epoch: [2] [ 680/5278] eta: 3:13:16 lr: 4.759834340826956e-05 loss: 0.1607 (0.1758) loss_seg: 0.1682 (0.1902) loss_lansim: 0.0981 (0.1042) loss_contra: 0.0007 (0.0371) time: 2.5111 data: 0.0026 max mem: 31654 Epoch: [2] [ 690/5278] eta: 3:12:47 lr: 4.759620022369517e-05 loss: 0.1607 (0.1761) loss_seg: 0.1703 (0.1904) loss_lansim: 0.0974 (0.1041) loss_contra: 0.0008 (0.0378) time: 2.5034 data: 0.0026 max mem: 31654 Epoch: [2] [ 700/5278] eta: 3:12:20 lr: 4.7594057028398014e-05 loss: 0.1607 (0.1756) loss_seg: 0.1703 (0.1899) loss_lansim: 0.0974 (0.1040) loss_contra: 0.0013 (0.0396) time: 2.4994 data: 0.0025 max mem: 31654 Epoch: [2] [ 710/5278] eta: 3:11:55 lr: 4.7591913822377515e-05 loss: 0.1597 (0.1750) loss_seg: 0.1676 (0.1893) loss_lansim: 0.0972 (0.1038) loss_contra: 0.0017 (0.0394) time: 2.4968 data: 0.0025 max mem: 31654 Epoch: [2] [ 720/5278] eta: 3:11:27 lr: 4.758977060563307e-05 loss: 0.1509 (0.1747) loss_seg: 0.1662 (0.1890) loss_lansim: 0.0972 (0.1038) loss_contra: 0.0033 (0.0390) time: 2.4907 data: 0.0025 max mem: 31654 Epoch: [2] [ 730/5278] eta: 3:11:00 lr: 4.7587627378164106e-05 loss: 0.1536 (0.1746) loss_seg: 0.1682 (0.1889) loss_lansim: 0.0970 (0.1037) loss_contra: 0.0044 (0.0388) time: 2.4878 data: 0.0025 max mem: 31654 Epoch: [2] [ 740/5278] eta: 3:10:35 lr: 4.7585484139970016e-05 loss: 0.1482 (0.1746) loss_seg: 0.1648 (0.1887) loss_lansim: 0.0955 (0.1035) loss_contra: 0.0052 (0.0387) time: 2.4939 data: 0.0025 max mem: 31654 Epoch: [2] [ 750/5278] eta: 3:10:07 lr: 4.758334089105021e-05 loss: 0.1428 (0.1749) loss_seg: 0.1585 (0.1891) loss_lansim: 0.0927 (0.1033) loss_contra: 0.0075 (0.0392) time: 2.4977 data: 0.0024 max mem: 31654 Epoch: [2] [ 760/5278] eta: 3:09:46 lr: 4.758119763140411e-05 loss: 0.1482 (0.1751) loss_seg: 0.1629 (0.1894) loss_lansim: 0.0921 (0.1031) loss_contra: 0.0052 (0.0388) time: 2.5096 data: 0.0025 max mem: 31654 Epoch: [2] [ 770/5278] eta: 3:09:20 lr: 4.7579054361031125e-05 loss: 0.1508 (0.1753) loss_seg: 0.1662 (0.1897) loss_lansim: 0.0926 (0.1030) loss_contra: 0.0084 (0.0385) time: 2.5067 data: 0.0024 max mem: 31654 Epoch: [2] [ 780/5278] eta: 3:08:54 lr: 4.757691107993065e-05 loss: 0.1508 (0.1753) loss_seg: 0.1662 (0.1896) loss_lansim: 0.0926 (0.1030) loss_contra: 0.0085 (0.0402) time: 2.5051 data: 0.0025 max mem: 31654 Epoch: [2] [ 790/5278] eta: 3:08:25 lr: 4.75747677881021e-05 loss: 0.1482 (0.1751) loss_seg: 0.1629 (0.1892) loss_lansim: 0.0923 (0.1029) loss_contra: 0.0093 (0.0414) time: 2.5027 data: 0.0024 max mem: 31654 Epoch: [2] [ 800/5278] eta: 3:07:57 lr: 4.757262448554489e-05 loss: 0.1508 (0.1751) loss_seg: 0.1652 (0.1892) loss_lansim: 0.0923 (0.1031) loss_contra: 0.0075 (0.0410) time: 2.5016 data: 0.0024 max mem: 31654 Epoch: [2] [ 810/5278] eta: 3:07:34 lr: 4.757048117225844e-05 loss: 0.1536 (0.1751) loss_seg: 0.1661 (0.1891) loss_lansim: 0.0930 (0.1030) loss_contra: 0.0077 (0.0407) time: 2.5046 data: 0.0024 max mem: 31654 Epoch: [2] [ 820/5278] eta: 3:07:09 lr: 4.756833784824213e-05 loss: 0.1542 (0.1748) loss_seg: 0.1661 (0.1889) loss_lansim: 0.0926 (0.1029) loss_contra: 0.0072 (0.0406) time: 2.5096 data: 0.0024 max mem: 31654 Epoch: [2] [ 830/5278] eta: 3:06:46 lr: 4.756619451349538e-05 loss: 0.1578 (0.1750) loss_seg: 0.1679 (0.1890) loss_lansim: 0.0923 (0.1029) loss_contra: 0.0051 (0.0410) time: 2.5164 data: 0.0024 max mem: 31654 Epoch: [2] [ 840/5278] eta: 3:06:20 lr: 4.756405116801762e-05 loss: 0.1578 (0.1748) loss_seg: 0.1679 (0.1888) loss_lansim: 0.0926 (0.1027) loss_contra: 0.0041 (0.0407) time: 2.5134 data: 0.0024 max mem: 31654 Epoch: [2] [ 850/5278] eta: 3:05:52 lr: 4.756190781180823e-05 loss: 0.1637 (0.1747) loss_seg: 0.1696 (0.1885) loss_lansim: 0.0931 (0.1027) loss_contra: 0.0043 (0.0415) time: 2.5133 data: 0.0024 max mem: 31654 Epoch: [2] [ 860/5278] eta: 3:05:25 lr: 4.755976444486664e-05 loss: 0.1542 (0.1749) loss_seg: 0.1664 (0.1889) loss_lansim: 0.0943 (0.1027) loss_contra: 0.0051 (0.0413) time: 2.5029 data: 0.0024 max mem: 31654 Epoch: [2] [ 870/5278] eta: 3:05:00 lr: 4.7557621067192235e-05 loss: 0.1493 (0.1746) loss_seg: 0.1631 (0.1886) loss_lansim: 0.0932 (0.1027) loss_contra: 0.0041 (0.0410) time: 2.5045 data: 0.0024 max mem: 31654 Epoch: [2] [ 880/5278] eta: 3:04:33 lr: 4.755547767878445e-05 loss: 0.1461 (0.1742) loss_seg: 0.1557 (0.1882) loss_lansim: 0.0929 (0.1025) loss_contra: 0.0041 (0.0408) time: 2.5012 data: 0.0024 max mem: 31654 Epoch: [2] [ 890/5278] eta: 3:04:06 lr: 4.755333427964268e-05 loss: 0.1531 (0.1744) loss_seg: 0.1631 (0.1883) loss_lansim: 0.0929 (0.1025) loss_contra: 0.0021 (0.0409) time: 2.5053 data: 0.0024 max mem: 31654 Epoch: [2] [ 900/5278] eta: 3:03:42 lr: 4.755119086976634e-05 loss: 0.1637 (0.1749) loss_seg: 0.1737 (0.1890) loss_lansim: 0.0929 (0.1024) loss_contra: 0.0028 (0.0406) time: 2.5110 data: 0.0024 max mem: 31654 Epoch: [2] [ 910/5278] eta: 3:03:15 lr: 4.7549047449154836e-05 loss: 0.1638 (0.1751) loss_seg: 0.1746 (0.1891) loss_lansim: 0.0927 (0.1023) loss_contra: 0.0021 (0.0403) time: 2.5040 data: 0.0025 max mem: 31654 Epoch: [2] [ 920/5278] eta: 3:02:50 lr: 4.7546904017807575e-05 loss: 0.1650 (0.1752) loss_seg: 0.1759 (0.1893) loss_lansim: 0.0927 (0.1023) loss_contra: 0.0021 (0.0400) time: 2.5026 data: 0.0025 max mem: 31654 Epoch: [2] [ 930/5278] eta: 3:02:25 lr: 4.754476057572396e-05 loss: 0.1650 (0.1753) loss_seg: 0.1815 (0.1895) loss_lansim: 0.0941 (0.1023) loss_contra: 0.0020 (0.0396) time: 2.4990 data: 0.0025 max mem: 31654 Epoch: [2] [ 940/5278] eta: 3:02:02 lr: 4.754261712290342e-05 loss: 0.1638 (0.1749) loss_seg: 0.1746 (0.1890) loss_lansim: 0.0949 (0.1023) loss_contra: 0.0021 (0.0395) time: 2.5071 data: 0.0025 max mem: 31654 Epoch: [2] [ 950/5278] eta: 3:01:38 lr: 4.754047365934533e-05 loss: 0.1573 (0.1749) loss_seg: 0.1733 (0.1890) loss_lansim: 0.0949 (0.1024) loss_contra: 0.0028 (0.0392) time: 2.5131 data: 0.0025 max mem: 31654 Epoch: [2] [ 960/5278] eta: 3:01:16 lr: 4.753833018504913e-05 loss: 0.1589 (0.1747) loss_seg: 0.1744 (0.1889) loss_lansim: 0.0975 (0.1025) loss_contra: 0.0020 (0.0389) time: 2.5251 data: 0.0026 max mem: 31654 Epoch: [2] [ 970/5278] eta: 3:00:50 lr: 4.753618670001421e-05 loss: 0.1670 (0.1747) loss_seg: 0.1768 (0.1889) loss_lansim: 0.0975 (0.1025) loss_contra: 0.0018 (0.0386) time: 2.5230 data: 0.0026 max mem: 31654 Epoch: [2] [ 980/5278] eta: 3:00:26 lr: 4.7534043204239986e-05 loss: 0.1678 (0.1748) loss_seg: 0.1862 (0.1891) loss_lansim: 0.0988 (0.1025) loss_contra: 0.0015 (0.0385) time: 2.5302 data: 0.0026 max mem: 31654 Epoch: [2] [ 990/5278] eta: 3:00:03 lr: 4.7531899697725855e-05 loss: 0.1675 (0.1748) loss_seg: 0.1861 (0.1891) loss_lansim: 0.0993 (0.1025) loss_contra: 0.0021 (0.0385) time: 2.5371 data: 0.0026 max mem: 31654 Epoch: [2] [1000/5278] eta: 2:59:37 lr: 4.752975618047124e-05 loss: 0.1573 (0.1748) loss_seg: 0.1733 (0.1890) loss_lansim: 0.0992 (0.1025) loss_contra: 0.0015 (0.0383) time: 2.5337 data: 0.0026 max mem: 31654 Epoch: [2] [1010/5278] eta: 2:59:11 lr: 4.7527612652475546e-05 loss: 0.1589 (0.1751) loss_seg: 0.1733 (0.1894) loss_lansim: 0.0992 (0.1024) loss_contra: 0.0013 (0.0381) time: 2.5367 data: 0.0026 max mem: 31654 Epoch: [2] [1020/5278] eta: 2:58:47 lr: 4.752546911373818e-05 loss: 0.1555 (0.1748) loss_seg: 0.1702 (0.1890) loss_lansim: 0.1000 (0.1025) loss_contra: 0.0013 (0.0380) time: 2.5382 data: 0.0026 max mem: 31654 Epoch: [2] [1030/5278] eta: 2:58:25 lr: 4.7523325564258534e-05 loss: 0.1516 (0.1746) loss_seg: 0.1626 (0.1889) loss_lansim: 0.1007 (0.1026) loss_contra: 0.0015 (0.0377) time: 2.5457 data: 0.0026 max mem: 31654 Epoch: [2] [1040/5278] eta: 2:58:01 lr: 4.752118200403604e-05 loss: 0.1548 (0.1745) loss_seg: 0.1702 (0.1888) loss_lansim: 0.1023 (0.1026) loss_contra: 0.0013 (0.0374) time: 2.5450 data: 0.0026 max mem: 31654 Epoch: [2] [1050/5278] eta: 2:57:35 lr: 4.751903843307009e-05 loss: 0.1631 (0.1746) loss_seg: 0.1727 (0.1889) loss_lansim: 0.1025 (0.1026) loss_contra: 0.0010 (0.0371) time: 2.5396 data: 0.0026 max mem: 31654 Epoch: [2] [1060/5278] eta: 2:57:07 lr: 4.75168948513601e-05 loss: 0.1631 (0.1747) loss_seg: 0.1727 (0.1890) loss_lansim: 0.1007 (0.1025) loss_contra: 0.0009 (0.0368) time: 2.5267 data: 0.0026 max mem: 31654 Epoch: [2] [1070/5278] eta: 2:56:42 lr: 4.7514751258905473e-05 loss: 0.1631 (0.1747) loss_seg: 0.1723 (0.1891) loss_lansim: 0.1025 (0.1027) loss_contra: 0.0010 (0.0365) time: 2.5284 data: 0.0026 max mem: 31654 Epoch: [2] [1080/5278] eta: 2:56:22 lr: 4.751260765570562e-05 loss: 0.1617 (0.1745) loss_seg: 0.1721 (0.1889) loss_lansim: 0.1025 (0.1027) loss_contra: 0.0011 (0.0369) time: 2.5387 data: 0.0026 max mem: 31654 Epoch: [2] [1090/5278] eta: 2:55:55 lr: 4.7510464041759944e-05 loss: 0.1617 (0.1744) loss_seg: 0.1714 (0.1887) loss_lansim: 0.1017 (0.1026) loss_contra: 0.0007 (0.0365) time: 2.5293 data: 0.0026 max mem: 31654 Epoch: [2] [1100/5278] eta: 2:55:30 lr: 4.750832041706785e-05 loss: 0.1631 (0.1744) loss_seg: 0.1721 (0.1887) loss_lansim: 0.1022 (0.1027) loss_contra: 0.0011 (0.0366) time: 2.5333 data: 0.0026 max mem: 31654 Epoch: [2] [1110/5278] eta: 2:55:05 lr: 4.750617678162876e-05 loss: 0.1631 (0.1745) loss_seg: 0.1721 (0.1889) loss_lansim: 0.1034 (0.1028) loss_contra: 0.0011 (0.0363) time: 2.5346 data: 0.0026 max mem: 31654 Epoch: [2] [1120/5278] eta: 2:54:38 lr: 4.750403313544206e-05 loss: 0.1665 (0.1746) loss_seg: 0.1765 (0.1890) loss_lansim: 0.1045 (0.1028) loss_contra: 0.0011 (0.0362) time: 2.5273 data: 0.0026 max mem: 31654 Epoch: [2] [1130/5278] eta: 2:54:13 lr: 4.750188947850718e-05 loss: 0.1667 (0.1745) loss_seg: 0.1772 (0.1889) loss_lansim: 0.1034 (0.1029) loss_contra: 0.0011 (0.0363) time: 2.5200 data: 0.0026 max mem: 31654 Epoch: [2] [1140/5278] eta: 2:53:50 lr: 4.749974581082351e-05 loss: 0.1665 (0.1743) loss_seg: 0.1774 (0.1886) loss_lansim: 0.1034 (0.1029) loss_contra: 0.0011 (0.0360) time: 2.5231 data: 0.0025 max mem: 31654 Epoch: [2] [1150/5278] eta: 2:53:25 lr: 4.749760213239046e-05 loss: 0.1673 (0.1746) loss_seg: 0.1816 (0.1889) loss_lansim: 0.1025 (0.1029) loss_contra: 0.0011 (0.0358) time: 2.5271 data: 0.0026 max mem: 31654 Epoch: [2] [1160/5278] eta: 2:53:00 lr: 4.749545844320744e-05 loss: 0.1674 (0.1747) loss_seg: 0.1849 (0.1890) loss_lansim: 0.1057 (0.1030) loss_contra: 0.0014 (0.0357) time: 2.5321 data: 0.0026 max mem: 31654 Epoch: [2] [1170/5278] eta: 2:52:35 lr: 4.749331474327386e-05 loss: 0.1674 (0.1747) loss_seg: 0.1849 (0.1890) loss_lansim: 0.1034 (0.1031) loss_contra: 0.0014 (0.0354) time: 2.5329 data: 0.0026 max mem: 31654 Epoch: [2] [1180/5278] eta: 2:52:09 lr: 4.749117103258912e-05 loss: 0.1674 (0.1746) loss_seg: 0.1849 (0.1889) loss_lansim: 0.1022 (0.1031) loss_contra: 0.0012 (0.0351) time: 2.5182 data: 0.0026 max mem: 31654 Epoch: [2] [1190/5278] eta: 2:51:43 lr: 4.748902731115264e-05 loss: 0.1660 (0.1742) loss_seg: 0.1816 (0.1885) loss_lansim: 0.1026 (0.1031) loss_contra: 0.0016 (0.0350) time: 2.5225 data: 0.0026 max mem: 31654 Epoch: [2] [1200/5278] eta: 2:51:20 lr: 4.748688357896381e-05 loss: 0.1672 (0.1742) loss_seg: 0.1849 (0.1885) loss_lansim: 0.1026 (0.1030) loss_contra: 0.0017 (0.0350) time: 2.5259 data: 0.0026 max mem: 31654 Epoch: [2] [1210/5278] eta: 2:50:54 lr: 4.7484739836022044e-05 loss: 0.1660 (0.1742) loss_seg: 0.1816 (0.1885) loss_lansim: 0.1023 (0.1030) loss_contra: 0.0015 (0.0348) time: 2.5216 data: 0.0026 max mem: 31654 Epoch: [2] [1220/5278] eta: 2:50:27 lr: 4.7482596082326745e-05 loss: 0.1664 (0.1742) loss_seg: 0.1849 (0.1885) loss_lansim: 0.1022 (0.1031) loss_contra: 0.0017 (0.0346) time: 2.5245 data: 0.0026 max mem: 31654 Epoch: [2] [1230/5278] eta: 2:50:01 lr: 4.748045231787733e-05 loss: 0.1664 (0.1742) loss_seg: 0.1849 (0.1885) loss_lansim: 0.1046 (0.1033) loss_contra: 0.0015 (0.0343) time: 2.5201 data: 0.0026 max mem: 31654 Epoch: [2] [1240/5278] eta: 2:49:36 lr: 4.74783085426732e-05 loss: 0.1757 (0.1746) loss_seg: 0.1921 (0.1889) loss_lansim: 0.1059 (0.1035) loss_contra: 0.0015 (0.0343) time: 2.5126 data: 0.0026 max mem: 31654 Epoch: [2] [1250/5278] eta: 2:49:11 lr: 4.7476164756713756e-05 loss: 0.1746 (0.1747) loss_seg: 0.1863 (0.1890) loss_lansim: 0.1063 (0.1035) loss_contra: 0.0018 (0.0342) time: 2.5152 data: 0.0026 max mem: 31654 Epoch: [2] [1260/5278] eta: 2:48:47 lr: 4.7474020959998405e-05 loss: 0.1757 (0.1748) loss_seg: 0.1863 (0.1891) loss_lansim: 0.1074 (0.1036) loss_contra: 0.0018 (0.0345) time: 2.5174 data: 0.0026 max mem: 31654 Epoch: [2] [1270/5278] eta: 2:48:21 lr: 4.747187715252657e-05 loss: 0.1757 (0.1747) loss_seg: 0.1852 (0.1890) loss_lansim: 0.1070 (0.1037) loss_contra: 0.0015 (0.0346) time: 2.5152 data: 0.0026 max mem: 31654 Epoch: [2] [1280/5278] eta: 2:47:56 lr: 4.7469733334297634e-05 loss: 0.1788 (0.1753) loss_seg: 0.1863 (0.1897) loss_lansim: 0.1077 (0.1037) loss_contra: 0.0015 (0.0344) time: 2.5160 data: 0.0025 max mem: 31654 Epoch: [2] [1290/5278] eta: 2:47:29 lr: 4.746758950531101e-05 loss: 0.1788 (0.1753) loss_seg: 0.1863 (0.1895) loss_lansim: 0.1080 (0.1037) loss_contra: 0.0015 (0.0349) time: 2.5133 data: 0.0025 max mem: 31654 Epoch: [2] [1300/5278] eta: 2:47:05 lr: 4.746544566556612e-05 loss: 0.1726 (0.1750) loss_seg: 0.1850 (0.1893) loss_lansim: 0.1095 (0.1038) loss_contra: 0.0015 (0.0351) time: 2.5112 data: 0.0025 max mem: 31654 Epoch: [2] [1310/5278] eta: 2:46:39 lr: 4.746330181506235e-05 loss: 0.1723 (0.1749) loss_seg: 0.1829 (0.1891) loss_lansim: 0.1110 (0.1038) loss_contra: 0.0023 (0.0349) time: 2.5123 data: 0.0026 max mem: 31654 Epoch: [2] [1320/5278] eta: 2:46:15 lr: 4.7461157953799114e-05 loss: 0.1702 (0.1750) loss_seg: 0.1818 (0.1892) loss_lansim: 0.1110 (0.1039) loss_contra: 0.0018 (0.0349) time: 2.5197 data: 0.0025 max mem: 31654 Epoch: [2] [1330/5278] eta: 2:45:51 lr: 4.745901408177582e-05 loss: 0.1649 (0.1749) loss_seg: 0.1782 (0.1891) loss_lansim: 0.1092 (0.1040) loss_contra: 0.0020 (0.0349) time: 2.5270 data: 0.0025 max mem: 31654 Epoch: [2] [1340/5278] eta: 2:45:25 lr: 4.745687019899187e-05 loss: 0.1613 (0.1753) loss_seg: 0.1774 (0.1895) loss_lansim: 0.1070 (0.1040) loss_contra: 0.0020 (0.0349) time: 2.5243 data: 0.0025 max mem: 31654 Epoch: [2] [1350/5278] eta: 2:44:59 lr: 4.745472630544668e-05 loss: 0.1590 (0.1752) loss_seg: 0.1730 (0.1895) loss_lansim: 0.1065 (0.1040) loss_contra: 0.0020 (0.0349) time: 2.5180 data: 0.0025 max mem: 31654 Epoch: [2] [1360/5278] eta: 2:44:35 lr: 4.7452582401139636e-05 loss: 0.1590 (0.1752) loss_seg: 0.1730 (0.1894) loss_lansim: 0.1056 (0.1041) loss_contra: 0.0015 (0.0349) time: 2.5202 data: 0.0025 max mem: 31654 Epoch: [2] [1370/5278] eta: 2:44:11 lr: 4.745043848607016e-05 loss: 0.1613 (0.1755) loss_seg: 0.1774 (0.1897) loss_lansim: 0.1061 (0.1041) loss_contra: 0.0019 (0.0353) time: 2.5259 data: 0.0025 max mem: 31654 Epoch: [2] [1380/5278] eta: 2:43:45 lr: 4.744829456023765e-05 loss: 0.1575 (0.1755) loss_seg: 0.1730 (0.1897) loss_lansim: 0.1061 (0.1041) loss_contra: 0.0020 (0.0351) time: 2.5248 data: 0.0025 max mem: 31654 Epoch: [2] [1390/5278] eta: 2:43:20 lr: 4.7446150623641516e-05 loss: 0.1667 (0.1754) loss_seg: 0.1793 (0.1897) loss_lansim: 0.1061 (0.1041) loss_contra: 0.0015 (0.0351) time: 2.5291 data: 0.0025 max mem: 31654 Epoch: [2] [1400/5278] eta: 2:42:56 lr: 4.7444006676281166e-05 loss: 0.1702 (0.1754) loss_seg: 0.1845 (0.1896) loss_lansim: 0.1061 (0.1041) loss_contra: 0.0016 (0.0352) time: 2.5328 data: 0.0025 max mem: 31654 Epoch: [2] [1410/5278] eta: 2:42:33 lr: 4.7441862718155997e-05 loss: 0.1734 (0.1754) loss_seg: 0.1917 (0.1897) loss_lansim: 0.1056 (0.1041) loss_contra: 0.0012 (0.0355) time: 2.5406 data: 0.0025 max mem: 31654 Epoch: [2] [1420/5278] eta: 2:42:08 lr: 4.7439718749265425e-05 loss: 0.1751 (0.1756) loss_seg: 0.1911 (0.1899) loss_lansim: 0.1056 (0.1042) loss_contra: 0.0014 (0.0355) time: 2.5390 data: 0.0025 max mem: 31654 Epoch: [2] [1430/5278] eta: 2:41:42 lr: 4.743757476960884e-05 loss: 0.1751 (0.1756) loss_seg: 0.1911 (0.1899) loss_lansim: 0.1043 (0.1042) loss_contra: 0.0014 (0.0360) time: 2.5325 data: 0.0025 max mem: 31654 Epoch: [2] [1440/5278] eta: 2:41:15 lr: 4.743543077918567e-05 loss: 0.1684 (0.1753) loss_seg: 0.1845 (0.1897) loss_lansim: 0.1051 (0.1042) loss_contra: 0.0012 (0.0358) time: 2.5297 data: 0.0025 max mem: 31654 Epoch: [2] [1450/5278] eta: 2:40:50 lr: 4.74332867779953e-05 loss: 0.1715 (0.1755) loss_seg: 0.1847 (0.1899) loss_lansim: 0.1043 (0.1042) loss_contra: 0.0018 (0.0358) time: 2.5348 data: 0.0025 max mem: 31654 Epoch: [2] [1460/5278] eta: 2:40:23 lr: 4.743114276603713e-05 loss: 0.1684 (0.1756) loss_seg: 0.1841 (0.1899) loss_lansim: 0.1056 (0.1043) loss_contra: 0.0024 (0.0357) time: 2.5219 data: 0.0025 max mem: 31654 Epoch: [2] [1470/5278] eta: 2:39:58 lr: 4.742899874331059e-05 loss: 0.1664 (0.1754) loss_seg: 0.1806 (0.1897) loss_lansim: 0.1039 (0.1043) loss_contra: 0.0018 (0.0357) time: 2.5181 data: 0.0025 max mem: 31654 Epoch: [2] [1480/5278] eta: 2:39:33 lr: 4.742685470981507e-05 loss: 0.1664 (0.1752) loss_seg: 0.1806 (0.1895) loss_lansim: 0.1037 (0.1043) loss_contra: 0.0021 (0.0358) time: 2.5223 data: 0.0025 max mem: 31654 Epoch: [2] [1490/5278] eta: 2:39:08 lr: 4.742471066554998e-05 loss: 0.1664 (0.1752) loss_seg: 0.1806 (0.1895) loss_lansim: 0.1030 (0.1042) loss_contra: 0.0029 (0.0357) time: 2.5225 data: 0.0024 max mem: 31654 Epoch: [2] [1500/5278] eta: 2:38:42 lr: 4.742256661051472e-05 loss: 0.1664 (0.1752) loss_seg: 0.1803 (0.1895) loss_lansim: 0.1030 (0.1042) loss_contra: 0.0031 (0.0359) time: 2.5102 data: 0.0024 max mem: 31654 Epoch: [2] [1510/5278] eta: 2:38:16 lr: 4.742042254470869e-05 loss: 0.1648 (0.1754) loss_seg: 0.1766 (0.1898) loss_lansim: 0.1027 (0.1043) loss_contra: 0.0026 (0.0357) time: 2.5048 data: 0.0025 max mem: 31654 Epoch: [2] [1520/5278] eta: 2:37:52 lr: 4.741827846813131e-05 loss: 0.1647 (0.1755) loss_seg: 0.1714 (0.1898) loss_lansim: 0.1027 (0.1043) loss_contra: 0.0031 (0.0359) time: 2.5071 data: 0.0025 max mem: 31654 Epoch: [2] [1530/5278] eta: 2:37:28 lr: 4.7416134380781975e-05 loss: 0.1647 (0.1758) loss_seg: 0.1768 (0.1901) loss_lansim: 0.1038 (0.1044) loss_contra: 0.0043 (0.0360) time: 2.5141 data: 0.0025 max mem: 31654 Epoch: [2] [1540/5278] eta: 2:37:05 lr: 4.7413990282660095e-05 loss: 0.1647 (0.1757) loss_seg: 0.1768 (0.1900) loss_lansim: 0.1041 (0.1044) loss_contra: 0.0061 (0.0373) time: 2.5273 data: 0.0025 max mem: 31654 Epoch: [2] [1550/5278] eta: 2:36:39 lr: 4.741184617376505e-05 loss: 0.1631 (0.1756) loss_seg: 0.1757 (0.1899) loss_lansim: 0.1060 (0.1046) loss_contra: 0.0059 (0.0374) time: 2.5223 data: 0.0025 max mem: 31654 Epoch: [2] [1560/5278] eta: 2:36:12 lr: 4.7409702054096294e-05 loss: 0.1663 (0.1756) loss_seg: 0.1766 (0.1899) loss_lansim: 0.1051 (0.1046) loss_contra: 0.0059 (0.0375) time: 2.5236 data: 0.0025 max mem: 31654 Epoch: [2] [1570/5278] eta: 2:35:46 lr: 4.740755792365319e-05 loss: 0.1647 (0.1756) loss_seg: 0.1759 (0.1898) loss_lansim: 0.1060 (0.1046) loss_contra: 0.0058 (0.0374) time: 2.5230 data: 0.0025 max mem: 31654 Epoch: [2] [1580/5278] eta: 2:35:22 lr: 4.7405413782435146e-05 loss: 0.1679 (0.1755) loss_seg: 0.1812 (0.1898) loss_lansim: 0.1084 (0.1046) loss_contra: 0.0033 (0.0372) time: 2.5228 data: 0.0025 max mem: 31654 Epoch: [2] [1590/5278] eta: 2:34:55 lr: 4.740326963044159e-05 loss: 0.1663 (0.1755) loss_seg: 0.1784 (0.1898) loss_lansim: 0.1094 (0.1046) loss_contra: 0.0021 (0.0375) time: 2.5162 data: 0.0025 max mem: 31654 Epoch: [2] [1600/5278] eta: 2:34:30 lr: 4.7401125467671906e-05 loss: 0.1628 (0.1753) loss_seg: 0.1759 (0.1896) loss_lansim: 0.1075 (0.1046) loss_contra: 0.0018 (0.0373) time: 2.5239 data: 0.0026 max mem: 31654 Epoch: [2] [1610/5278] eta: 2:34:05 lr: 4.73989812941255e-05 loss: 0.1604 (0.1755) loss_seg: 0.1759 (0.1897) loss_lansim: 0.1066 (0.1046) loss_contra: 0.0015 (0.0373) time: 2.5220 data: 0.0026 max mem: 31654 Epoch: [2] [1620/5278] eta: 2:33:40 lr: 4.739683710980178e-05 loss: 0.1679 (0.1757) loss_seg: 0.1839 (0.1900) loss_lansim: 0.1051 (0.1046) loss_contra: 0.0020 (0.0374) time: 2.5197 data: 0.0026 max mem: 31654 Epoch: [2] [1630/5278] eta: 2:33:15 lr: 4.739469291470015e-05 loss: 0.1713 (0.1760) loss_seg: 0.1886 (0.1902) loss_lansim: 0.1066 (0.1046) loss_contra: 0.0018 (0.0373) time: 2.5159 data: 0.0026 max mem: 31654 Epoch: [2] [1640/5278] eta: 2:32:48 lr: 4.739254870882002e-05 loss: 0.1722 (0.1760) loss_seg: 0.1894 (0.1903) loss_lansim: 0.1038 (0.1046) loss_contra: 0.0019 (0.0373) time: 2.5009 data: 0.0025 max mem: 31654 Epoch: [2] [1650/5278] eta: 2:32:24 lr: 4.739040449216079e-05 loss: 0.1772 (0.1761) loss_seg: 0.1930 (0.1904) loss_lansim: 0.1015 (0.1046) loss_contra: 0.0014 (0.0372) time: 2.5123 data: 0.0025 max mem: 31654 Epoch: [2] [1660/5278] eta: 2:32:00 lr: 4.7388260264721864e-05 loss: 0.1713 (0.1759) loss_seg: 0.1889 (0.1902) loss_lansim: 0.1012 (0.1046) loss_contra: 0.0014 (0.0370) time: 2.5213 data: 0.0025 max mem: 31654 Epoch: [2] [1670/5278] eta: 2:31:35 lr: 4.738611602650264e-05 loss: 0.1722 (0.1760) loss_seg: 0.1910 (0.1902) loss_lansim: 0.0999 (0.1045) loss_contra: 0.0012 (0.0368) time: 2.5239 data: 0.0026 max mem: 31654 Epoch: [2] [1680/5278] eta: 2:31:09 lr: 4.738397177750252e-05 loss: 0.1732 (0.1760) loss_seg: 0.1910 (0.1902) loss_lansim: 0.0982 (0.1045) loss_contra: 0.0016 (0.0367) time: 2.5163 data: 0.0026 max mem: 31654 Epoch: [2] [1690/5278] eta: 2:30:46 lr: 4.738182751772092e-05 loss: 0.1722 (0.1760) loss_seg: 0.1910 (0.1902) loss_lansim: 0.0961 (0.1044) loss_contra: 0.0020 (0.0365) time: 2.5335 data: 0.0026 max mem: 31654 Epoch: [2] [1700/5278] eta: 2:30:19 lr: 4.737968324715723e-05 loss: 0.1732 (0.1759) loss_seg: 0.1910 (0.1902) loss_lansim: 0.0979 (0.1044) loss_contra: 0.0020 (0.0364) time: 2.5219 data: 0.0026 max mem: 31654 Epoch: [2] [1710/5278] eta: 2:29:53 lr: 4.737753896581086e-05 loss: 0.1732 (0.1759) loss_seg: 0.1889 (0.1902) loss_lansim: 0.0975 (0.1043) loss_contra: 0.0019 (0.0363) time: 2.5213 data: 0.0025 max mem: 31654 Epoch: [2] [1720/5278] eta: 2:29:28 lr: 4.737539467368122e-05 loss: 0.1722 (0.1759) loss_seg: 0.1835 (0.1902) loss_lansim: 0.0969 (0.1043) loss_contra: 0.0015 (0.0361) time: 2.5202 data: 0.0025 max mem: 31654 Epoch: [2] [1730/5278] eta: 2:29:03 lr: 4.737325037076771e-05 loss: 0.1651 (0.1759) loss_seg: 0.1806 (0.1902) loss_lansim: 0.0942 (0.1042) loss_contra: 0.0013 (0.0362) time: 2.5207 data: 0.0025 max mem: 31654 Epoch: [2] [1740/5278] eta: 2:28:35 lr: 4.7371106057069733e-05 loss: 0.1605 (0.1757) loss_seg: 0.1736 (0.1900) loss_lansim: 0.0907 (0.1042) loss_contra: 0.0012 (0.0362) time: 2.5172 data: 0.0025 max mem: 31654 Epoch: [2] [1750/5278] eta: 2:28:10 lr: 4.736896173258668e-05 loss: 0.1553 (0.1756) loss_seg: 0.1700 (0.1899) loss_lansim: 0.0934 (0.1041) loss_contra: 0.0011 (0.0361) time: 2.5066 data: 0.0025 max mem: 31654 Epoch: [2] [1760/5278] eta: 2:27:43 lr: 4.736681739731797e-05 loss: 0.1553 (0.1756) loss_seg: 0.1700 (0.1899) loss_lansim: 0.0932 (0.1041) loss_contra: 0.0013 (0.0359) time: 2.5001 data: 0.0025 max mem: 31654 Epoch: [2] [1770/5278] eta: 2:27:18 lr: 4.736467305126301e-05 loss: 0.1568 (0.1757) loss_seg: 0.1734 (0.1900) loss_lansim: 0.0946 (0.1041) loss_contra: 0.0015 (0.0357) time: 2.4962 data: 0.0025 max mem: 31654 Epoch: [2] [1780/5278] eta: 2:26:52 lr: 4.736252869442118e-05 loss: 0.1567 (0.1758) loss_seg: 0.1730 (0.1901) loss_lansim: 0.0943 (0.1041) loss_contra: 0.0011 (0.0360) time: 2.4991 data: 0.0025 max mem: 31654 Epoch: [2] [1790/5278] eta: 2:26:27 lr: 4.73603843267919e-05 loss: 0.1557 (0.1758) loss_seg: 0.1714 (0.1901) loss_lansim: 0.0966 (0.1041) loss_contra: 0.0011 (0.0361) time: 2.4873 data: 0.0025 max mem: 31654 Epoch: [2] [1800/5278] eta: 2:26:01 lr: 4.7358239948374575e-05 loss: 0.1554 (0.1756) loss_seg: 0.1714 (0.1899) loss_lansim: 0.0969 (0.1042) loss_contra: 0.0011 (0.0360) time: 2.4902 data: 0.0025 max mem: 31654 Epoch: [2] [1810/5278] eta: 2:25:34 lr: 4.73560955591686e-05 loss: 0.1557 (0.1756) loss_seg: 0.1700 (0.1899) loss_lansim: 0.0983 (0.1042) loss_contra: 0.0011 (0.0359) time: 2.4874 data: 0.0024 max mem: 31654 Epoch: [2] [1820/5278] eta: 2:25:08 lr: 4.735395115917338e-05 loss: 0.1557 (0.1761) loss_seg: 0.1700 (0.1903) loss_lansim: 0.0991 (0.1042) loss_contra: 0.0015 (0.0359) time: 2.4787 data: 0.0024 max mem: 31654 Epoch: [2] [1830/5278] eta: 2:24:43 lr: 4.735180674838832e-05 loss: 0.1594 (0.1761) loss_seg: 0.1716 (0.1903) loss_lansim: 0.0993 (0.1042) loss_contra: 0.0020 (0.0357) time: 2.4779 data: 0.0024 max mem: 31654 Epoch: [2] [1840/5278] eta: 2:24:19 lr: 4.7349662326812824e-05 loss: 0.1644 (0.1761) loss_seg: 0.1755 (0.1903) loss_lansim: 0.0998 (0.1041) loss_contra: 0.0015 (0.0359) time: 2.4969 data: 0.0024 max mem: 31654 Epoch: [2] [1850/5278] eta: 2:23:53 lr: 4.7347517894446294e-05 loss: 0.1651 (0.1762) loss_seg: 0.1790 (0.1904) loss_lansim: 0.1022 (0.1041) loss_contra: 0.0020 (0.0360) time: 2.4932 data: 0.0025 max mem: 31654 Epoch: [2] [1860/5278] eta: 2:23:28 lr: 4.7345373451288124e-05 loss: 0.1689 (0.1762) loss_seg: 0.1826 (0.1904) loss_lansim: 0.1022 (0.1041) loss_contra: 0.0025 (0.0359) time: 2.4996 data: 0.0025 max mem: 31654 Epoch: [2] [1870/5278] eta: 2:23:02 lr: 4.734322899733773e-05 loss: 0.1666 (0.1761) loss_seg: 0.1790 (0.1903) loss_lansim: 0.1011 (0.1041) loss_contra: 0.0026 (0.0360) time: 2.4992 data: 0.0025 max mem: 31654 Epoch: [2] [1880/5278] eta: 2:22:38 lr: 4.7341084532594506e-05 loss: 0.1666 (0.1760) loss_seg: 0.1790 (0.1902) loss_lansim: 0.1011 (0.1040) loss_contra: 0.0025 (0.0359) time: 2.5080 data: 0.0025 max mem: 31654 Epoch: [2] [1890/5278] eta: 2:22:15 lr: 4.733894005705785e-05 loss: 0.1696 (0.1762) loss_seg: 0.1819 (0.1904) loss_lansim: 0.1000 (0.1041) loss_contra: 0.0025 (0.0358) time: 2.5207 data: 0.0024 max mem: 31654 Epoch: [2] [1900/5278] eta: 2:21:50 lr: 4.7336795570727185e-05 loss: 0.1711 (0.1760) loss_seg: 0.1819 (0.1902) loss_lansim: 0.1000 (0.1041) loss_contra: 0.0025 (0.0359) time: 2.5248 data: 0.0024 max mem: 31654 Epoch: [2] [1910/5278] eta: 2:21:25 lr: 4.733465107360189e-05 loss: 0.1697 (0.1760) loss_seg: 0.1819 (0.1902) loss_lansim: 0.1000 (0.1042) loss_contra: 0.0025 (0.0358) time: 2.5352 data: 0.0024 max mem: 31654 Epoch: [2] [1920/5278] eta: 2:21:00 lr: 4.7332506565681377e-05 loss: 0.1641 (0.1759) loss_seg: 0.1772 (0.1900) loss_lansim: 0.1003 (0.1042) loss_contra: 0.0024 (0.0361) time: 2.5402 data: 0.0024 max mem: 31654 Epoch: [2] [1930/5278] eta: 2:20:33 lr: 4.733036204696505e-05 loss: 0.1615 (0.1758) loss_seg: 0.1757 (0.1900) loss_lansim: 0.1031 (0.1042) loss_contra: 0.0014 (0.0360) time: 2.5335 data: 0.0024 max mem: 31654 Epoch: [2] [1940/5278] eta: 2:20:07 lr: 4.7328217517452304e-05 loss: 0.1611 (0.1758) loss_seg: 0.1756 (0.1899) loss_lansim: 0.1032 (0.1042) loss_contra: 0.0014 (0.0359) time: 2.5202 data: 0.0024 max mem: 31654 Epoch: [2] [1950/5278] eta: 2:19:41 lr: 4.732607297714255e-05 loss: 0.1579 (0.1756) loss_seg: 0.1716 (0.1897) loss_lansim: 0.1045 (0.1042) loss_contra: 0.0013 (0.0363) time: 2.5207 data: 0.0024 max mem: 31654 Epoch: [2] [1960/5278] eta: 2:19:14 lr: 4.732392842603518e-05 loss: 0.1571 (0.1756) loss_seg: 0.1716 (0.1897) loss_lansim: 0.1059 (0.1043) loss_contra: 0.0012 (0.0361) time: 2.5048 data: 0.0024 max mem: 31654 Epoch: [2] [1970/5278] eta: 2:18:47 lr: 4.7321783864129614e-05 loss: 0.1571 (0.1759) loss_seg: 0.1724 (0.1900) loss_lansim: 0.1059 (0.1043) loss_contra: 0.0012 (0.0363) time: 2.5005 data: 0.0024 max mem: 31654 Epoch: [2] [1980/5278] eta: 2:18:22 lr: 4.7319639291425236e-05 loss: 0.1607 (0.1761) loss_seg: 0.1734 (0.1902) loss_lansim: 0.1062 (0.1043) loss_contra: 0.0019 (0.0361) time: 2.4939 data: 0.0024 max mem: 31654 Epoch: [2] [1990/5278] eta: 2:17:56 lr: 4.731749470792145e-05 loss: 0.1536 (0.1759) loss_seg: 0.1663 (0.1899) loss_lansim: 0.1058 (0.1043) loss_contra: 0.0014 (0.0362) time: 2.4737 data: 0.0025 max mem: 31654 Epoch: [2] [2000/5278] eta: 2:17:30 lr: 4.7315350113617667e-05 loss: 0.1607 (0.1762) loss_seg: 0.1709 (0.1902) loss_lansim: 0.1058 (0.1043) loss_contra: 0.0022 (0.0361) time: 2.4740 data: 0.0024 max mem: 31654 Epoch: [2] [2010/5278] eta: 2:17:04 lr: 4.731320550851328e-05 loss: 0.1607 (0.1761) loss_seg: 0.1709 (0.1901) loss_lansim: 0.1055 (0.1043) loss_contra: 0.0022 (0.0361) time: 2.4634 data: 0.0024 max mem: 31654 Epoch: [2] [2020/5278] eta: 2:16:39 lr: 4.73110608926077e-05 loss: 0.1607 (0.1762) loss_seg: 0.1691 (0.1903) loss_lansim: 0.1039 (0.1043) loss_contra: 0.0022 (0.0365) time: 2.4656 data: 0.0024 max mem: 31654 Epoch: [2] [2030/5278] eta: 2:16:13 lr: 4.730891626590032e-05 loss: 0.1616 (0.1763) loss_seg: 0.1734 (0.1904) loss_lansim: 0.1055 (0.1044) loss_contra: 0.0025 (0.0364) time: 2.4643 data: 0.0024 max mem: 31654 Epoch: [2] [2040/5278] eta: 2:15:46 lr: 4.7306771628390535e-05 loss: 0.1607 (0.1761) loss_seg: 0.1690 (0.1902) loss_lansim: 0.1093 (0.1044) loss_contra: 0.0030 (0.0367) time: 2.4612 data: 0.0025 max mem: 31654 Epoch: [2] [2050/5278] eta: 2:15:18 lr: 4.730462698007776e-05 loss: 0.1693 (0.1762) loss_seg: 0.1813 (0.1904) loss_lansim: 0.1095 (0.1045) loss_contra: 0.0025 (0.0366) time: 2.4487 data: 0.0025 max mem: 31654 Epoch: [2] [2060/5278] eta: 2:14:53 lr: 4.73024823209614e-05 loss: 0.1693 (0.1764) loss_seg: 0.1814 (0.1905) loss_lansim: 0.1105 (0.1045) loss_contra: 0.0025 (0.0365) time: 2.4582 data: 0.0024 max mem: 31654 Epoch: [2] [2070/5278] eta: 2:14:26 lr: 4.730033765104084e-05 loss: 0.1693 (0.1763) loss_seg: 0.1834 (0.1904) loss_lansim: 0.1106 (0.1045) loss_contra: 0.0018 (0.0366) time: 2.4574 data: 0.0024 max mem: 31654 Epoch: [2] [2080/5278] eta: 2:14:00 lr: 4.729819297031549e-05 loss: 0.1635 (0.1761) loss_seg: 0.1794 (0.1902) loss_lansim: 0.1093 (0.1045) loss_contra: 0.0018 (0.0369) time: 2.4514 data: 0.0024 max mem: 31654 Epoch: [2] [2090/5278] eta: 2:13:34 lr: 4.729604827878474e-05 loss: 0.1655 (0.1760) loss_seg: 0.1809 (0.1901) loss_lansim: 0.1082 (0.1045) loss_contra: 0.0017 (0.0368) time: 2.4533 data: 0.0024 max mem: 31654 Epoch: [2] [2100/5278] eta: 2:13:10 lr: 4.7293903576448014e-05 loss: 0.1495 (0.1758) loss_seg: 0.1652 (0.1899) loss_lansim: 0.1077 (0.1045) loss_contra: 0.0016 (0.0370) time: 2.4580 data: 0.0024 max mem: 31654 Epoch: [2] [2110/5278] eta: 2:12:44 lr: 4.7291758863304706e-05 loss: 0.1496 (0.1757) loss_seg: 0.1652 (0.1898) loss_lansim: 0.1082 (0.1045) loss_contra: 0.0016 (0.0369) time: 2.4561 data: 0.0025 max mem: 31654 Epoch: [2] [2120/5278] eta: 2:12:18 lr: 4.7289614139354206e-05 loss: 0.1533 (0.1759) loss_seg: 0.1655 (0.1900) loss_lansim: 0.1077 (0.1045) loss_contra: 0.0013 (0.0367) time: 2.4503 data: 0.0025 max mem: 31654 Epoch: [2] [2130/5278] eta: 2:11:53 lr: 4.728746940459591e-05 loss: 0.1520 (0.1758) loss_seg: 0.1652 (0.1899) loss_lansim: 0.1075 (0.1045) loss_contra: 0.0009 (0.0366) time: 2.4622 data: 0.0025 max mem: 31654 Epoch: [2] [2140/5278] eta: 2:11:27 lr: 4.7285324659029246e-05 loss: 0.1563 (0.1759) loss_seg: 0.1734 (0.1900) loss_lansim: 0.1056 (0.1045) loss_contra: 0.0008 (0.0366) time: 2.4641 data: 0.0025 max mem: 31654 Epoch: [2] [2150/5278] eta: 2:11:02 lr: 4.7283179902653594e-05 loss: 0.1533 (0.1760) loss_seg: 0.1690 (0.1901) loss_lansim: 0.1036 (0.1045) loss_contra: 0.0009 (0.0366) time: 2.4824 data: 0.0025 max mem: 31654 Epoch: [2] [2160/5278] eta: 2:10:37 lr: 4.728103513546836e-05 loss: 0.1520 (0.1760) loss_seg: 0.1682 (0.1900) loss_lansim: 0.1033 (0.1045) loss_contra: 0.0011 (0.0364) time: 2.4880 data: 0.0025 max mem: 31654 Epoch: [2] [2170/5278] eta: 2:10:14 lr: 4.7278890357472933e-05 loss: 0.1484 (0.1760) loss_seg: 0.1645 (0.1901) loss_lansim: 0.1033 (0.1045) loss_contra: 0.0016 (0.0367) time: 2.5066 data: 0.0025 max mem: 31654 Epoch: [2] [2180/5278] eta: 2:09:49 lr: 4.7276745568666734e-05 loss: 0.1541 (0.1761) loss_seg: 0.1701 (0.1902) loss_lansim: 0.1036 (0.1045) loss_contra: 0.0015 (0.0368) time: 2.5122 data: 0.0025 max mem: 31654 Epoch: [2] [2190/5278] eta: 2:09:24 lr: 4.727460076904915e-05 loss: 0.1627 (0.1762) loss_seg: 0.1770 (0.1903) loss_lansim: 0.1036 (0.1045) loss_contra: 0.0016 (0.0367) time: 2.5210 data: 0.0025 max mem: 31654 Epoch: [2] [2200/5278] eta: 2:09:00 lr: 4.7272455958619586e-05 loss: 0.1647 (0.1761) loss_seg: 0.1813 (0.1903) loss_lansim: 0.1042 (0.1046) loss_contra: 0.0015 (0.0366) time: 2.5260 data: 0.0025 max mem: 31654 Epoch: [2] [2210/5278] eta: 2:08:35 lr: 4.7270311137377445e-05 loss: 0.1660 (0.1762) loss_seg: 0.1824 (0.1903) loss_lansim: 0.1052 (0.1046) loss_contra: 0.0011 (0.0366) time: 2.5372 data: 0.0025 max mem: 31654 Epoch: [2] [2220/5278] eta: 2:08:10 lr: 4.7268166305322116e-05 loss: 0.1647 (0.1762) loss_seg: 0.1813 (0.1903) loss_lansim: 0.1072 (0.1047) loss_contra: 0.0015 (0.0365) time: 2.5402 data: 0.0025 max mem: 31654 Epoch: [2] [2230/5278] eta: 2:07:44 lr: 4.726602146245302e-05 loss: 0.1647 (0.1762) loss_seg: 0.1813 (0.1903) loss_lansim: 0.1065 (0.1047) loss_contra: 0.0019 (0.0364) time: 2.5289 data: 0.0025 max mem: 31654 Epoch: [2] [2240/5278] eta: 2:07:19 lr: 4.726387660876954e-05 loss: 0.1661 (0.1765) loss_seg: 0.1824 (0.1906) loss_lansim: 0.1065 (0.1047) loss_contra: 0.0015 (0.0363) time: 2.5341 data: 0.0025 max mem: 31654 Epoch: [2] [2250/5278] eta: 2:06:53 lr: 4.726173174427107e-05 loss: 0.1647 (0.1764) loss_seg: 0.1813 (0.1905) loss_lansim: 0.1071 (0.1047) loss_contra: 0.0012 (0.0362) time: 2.5293 data: 0.0025 max mem: 31654 Epoch: [2] [2260/5278] eta: 2:06:28 lr: 4.725958686895703e-05 loss: 0.1647 (0.1765) loss_seg: 0.1813 (0.1906) loss_lansim: 0.1072 (0.1047) loss_contra: 0.0017 (0.0362) time: 2.5273 data: 0.0025 max mem: 31654 Epoch: [2] [2270/5278] eta: 2:06:02 lr: 4.7257441982826814e-05 loss: 0.1674 (0.1764) loss_seg: 0.1817 (0.1905) loss_lansim: 0.1065 (0.1048) loss_contra: 0.0016 (0.0362) time: 2.5137 data: 0.0025 max mem: 31654 Epoch: [2] [2280/5278] eta: 2:05:37 lr: 4.7255297085879817e-05 loss: 0.1638 (0.1762) loss_seg: 0.1748 (0.1903) loss_lansim: 0.1056 (0.1047) loss_contra: 0.0016 (0.0364) time: 2.5101 data: 0.0025 max mem: 31654 Epoch: [2] [2290/5278] eta: 2:05:11 lr: 4.725315217811544e-05 loss: 0.1632 (0.1763) loss_seg: 0.1740 (0.1904) loss_lansim: 0.1051 (0.1047) loss_contra: 0.0017 (0.0365) time: 2.5050 data: 0.0026 max mem: 31654 Epoch: [2] [2300/5278] eta: 2:04:47 lr: 4.725100725953308e-05 loss: 0.1674 (0.1762) loss_seg: 0.1748 (0.1903) loss_lansim: 0.1018 (0.1046) loss_contra: 0.0021 (0.0364) time: 2.5034 data: 0.0026 max mem: 31654 Epoch: [2] [2310/5278] eta: 2:04:21 lr: 4.724886233013215e-05 loss: 0.1674 (0.1764) loss_seg: 0.1748 (0.1905) loss_lansim: 0.1004 (0.1046) loss_contra: 0.0026 (0.0364) time: 2.4964 data: 0.0026 max mem: 31654 Epoch: [2] [2320/5278] eta: 2:03:56 lr: 4.724671738991203e-05 loss: 0.1568 (0.1764) loss_seg: 0.1675 (0.1905) loss_lansim: 0.0993 (0.1046) loss_contra: 0.0035 (0.0364) time: 2.4964 data: 0.0025 max mem: 31654 Epoch: [2] [2330/5278] eta: 2:03:31 lr: 4.724457243887214e-05 loss: 0.1632 (0.1766) loss_seg: 0.1748 (0.1907) loss_lansim: 0.0992 (0.1046) loss_contra: 0.0023 (0.0363) time: 2.5019 data: 0.0025 max mem: 31654 Epoch: [2] [2340/5278] eta: 2:03:06 lr: 4.724242747701186e-05 loss: 0.1524 (0.1765) loss_seg: 0.1635 (0.1906) loss_lansim: 0.0990 (0.1046) loss_contra: 0.0041 (0.0369) time: 2.5030 data: 0.0025 max mem: 31654 Epoch: [2] [2350/5278] eta: 2:02:41 lr: 4.7240282504330606e-05 loss: 0.1524 (0.1765) loss_seg: 0.1675 (0.1905) loss_lansim: 0.0983 (0.1046) loss_contra: 0.0037 (0.0370) time: 2.5101 data: 0.0025 max mem: 31654 Epoch: [2] [2360/5278] eta: 2:02:16 lr: 4.723813752082777e-05 loss: 0.1433 (0.1763) loss_seg: 0.1551 (0.1904) loss_lansim: 0.0987 (0.1046) loss_contra: 0.0023 (0.0368) time: 2.5165 data: 0.0025 max mem: 31654 Epoch: [2] [2370/5278] eta: 2:01:52 lr: 4.723599252650275e-05 loss: 0.1400 (0.1762) loss_seg: 0.1538 (0.1903) loss_lansim: 0.0992 (0.1046) loss_contra: 0.0034 (0.0371) time: 2.5221 data: 0.0025 max mem: 31654 Epoch: [2] [2380/5278] eta: 2:01:27 lr: 4.723384752135495e-05 loss: 0.1390 (0.1761) loss_seg: 0.1530 (0.1901) loss_lansim: 0.1007 (0.1046) loss_contra: 0.0023 (0.0370) time: 2.5302 data: 0.0025 max mem: 31654 Epoch: [2] [2390/5278] eta: 2:01:02 lr: 4.723170250538376e-05 loss: 0.1395 (0.1759) loss_seg: 0.1538 (0.1899) loss_lansim: 0.0994 (0.1046) loss_contra: 0.0023 (0.0369) time: 2.5329 data: 0.0025 max mem: 31654 Epoch: [2] [2400/5278] eta: 2:00:37 lr: 4.72295574785886e-05 loss: 0.1390 (0.1758) loss_seg: 0.1530 (0.1899) loss_lansim: 0.1007 (0.1046) loss_contra: 0.0023 (0.0369) time: 2.5245 data: 0.0025 max mem: 31654 Epoch: [2] [2410/5278] eta: 2:00:12 lr: 4.722741244096884e-05 loss: 0.1398 (0.1758) loss_seg: 0.1549 (0.1899) loss_lansim: 0.0992 (0.1045) loss_contra: 0.0020 (0.0368) time: 2.5280 data: 0.0025 max mem: 31654 Epoch: [2] [2420/5278] eta: 1:59:47 lr: 4.7225267392523904e-05 loss: 0.1395 (0.1758) loss_seg: 0.1547 (0.1899) loss_lansim: 0.0983 (0.1045) loss_contra: 0.0017 (0.0368) time: 2.5318 data: 0.0025 max mem: 31654 Epoch: [2] [2430/5278] eta: 1:59:22 lr: 4.722312233325317e-05 loss: 0.1398 (0.1758) loss_seg: 0.1549 (0.1898) loss_lansim: 0.0982 (0.1045) loss_contra: 0.0017 (0.0369) time: 2.5353 data: 0.0025 max mem: 31654 Epoch: [2] [2440/5278] eta: 1:58:56 lr: 4.7220977263156065e-05 loss: 0.1501 (0.1761) loss_seg: 0.1624 (0.1901) loss_lansim: 0.0982 (0.1045) loss_contra: 0.0013 (0.0368) time: 2.5272 data: 0.0025 max mem: 31654 Epoch: [2] [2450/5278] eta: 1:58:31 lr: 4.721883218223196e-05 loss: 0.1505 (0.1761) loss_seg: 0.1659 (0.1902) loss_lansim: 0.0983 (0.1045) loss_contra: 0.0013 (0.0367) time: 2.5308 data: 0.0025 max mem: 31654 Epoch: [2] [2460/5278] eta: 1:58:06 lr: 4.7216687090480265e-05 loss: 0.1505 (0.1760) loss_seg: 0.1664 (0.1901) loss_lansim: 0.0978 (0.1045) loss_contra: 0.0013 (0.0367) time: 2.5235 data: 0.0025 max mem: 31654 Epoch: [2] [2470/5278] eta: 1:57:41 lr: 4.721454198790038e-05 loss: 0.1505 (0.1760) loss_seg: 0.1664 (0.1900) loss_lansim: 0.0982 (0.1045) loss_contra: 0.0013 (0.0369) time: 2.5233 data: 0.0025 max mem: 31654 Epoch: [2] [2480/5278] eta: 1:57:15 lr: 4.721239687449171e-05 loss: 0.1547 (0.1759) loss_seg: 0.1671 (0.1899) loss_lansim: 0.0992 (0.1046) loss_contra: 0.0020 (0.0368) time: 2.5116 data: 0.0025 max mem: 31654 Epoch: [2] [2490/5278] eta: 1:56:50 lr: 4.7210251750253636e-05 loss: 0.1558 (0.1759) loss_seg: 0.1705 (0.1900) loss_lansim: 0.0992 (0.1045) loss_contra: 0.0016 (0.0369) time: 2.5103 data: 0.0025 max mem: 31654 Epoch: [2] [2500/5278] eta: 1:56:25 lr: 4.720810661518557e-05 loss: 0.1550 (0.1759) loss_seg: 0.1694 (0.1900) loss_lansim: 0.0995 (0.1045) loss_contra: 0.0016 (0.0368) time: 2.5131 data: 0.0025 max mem: 31654 Epoch: [2] [2510/5278] eta: 1:56:01 lr: 4.720596146928691e-05 loss: 0.1565 (0.1760) loss_seg: 0.1709 (0.1901) loss_lansim: 0.1010 (0.1045) loss_contra: 0.0018 (0.0367) time: 2.5171 data: 0.0025 max mem: 31654 Epoch: [2] [2520/5278] eta: 1:55:35 lr: 4.720381631255705e-05 loss: 0.1593 (0.1760) loss_seg: 0.1756 (0.1902) loss_lansim: 0.1008 (0.1045) loss_contra: 0.0020 (0.0366) time: 2.5096 data: 0.0025 max mem: 31654 Epoch: [2] [2530/5278] eta: 1:55:10 lr: 4.7201671144995384e-05 loss: 0.1593 (0.1760) loss_seg: 0.1759 (0.1901) loss_lansim: 0.0997 (0.1045) loss_contra: 0.0025 (0.0368) time: 2.5083 data: 0.0025 max mem: 31654 Epoch: [2] [2540/5278] eta: 1:54:45 lr: 4.719952596660133e-05 loss: 0.1549 (0.1758) loss_seg: 0.1700 (0.1900) loss_lansim: 0.0997 (0.1044) loss_contra: 0.0025 (0.0368) time: 2.5164 data: 0.0025 max mem: 31654 Epoch: [2] [2550/5278] eta: 1:54:20 lr: 4.7197380777374254e-05 loss: 0.1547 (0.1758) loss_seg: 0.1675 (0.1900) loss_lansim: 0.0988 (0.1044) loss_contra: 0.0021 (0.0368) time: 2.5182 data: 0.0025 max mem: 31654 Epoch: [2] [2560/5278] eta: 1:53:55 lr: 4.719523557731359e-05 loss: 0.1549 (0.1760) loss_seg: 0.1700 (0.1901) loss_lansim: 0.0995 (0.1043) loss_contra: 0.0022 (0.0368) time: 2.5212 data: 0.0025 max mem: 31654 Epoch: [2] [2570/5278] eta: 1:53:30 lr: 4.7193090366418714e-05 loss: 0.1593 (0.1760) loss_seg: 0.1705 (0.1901) loss_lansim: 0.0983 (0.1044) loss_contra: 0.0021 (0.0369) time: 2.5122 data: 0.0025 max mem: 31654 Epoch: [2] [2580/5278] eta: 1:53:04 lr: 4.719094514468902e-05 loss: 0.1620 (0.1760) loss_seg: 0.1759 (0.1901) loss_lansim: 0.0980 (0.1044) loss_contra: 0.0018 (0.0370) time: 2.5181 data: 0.0025 max mem: 31654 Epoch: [2] [2590/5278] eta: 1:52:41 lr: 4.718879991212393e-05 loss: 0.1601 (0.1760) loss_seg: 0.1729 (0.1901) loss_lansim: 0.0988 (0.1044) loss_contra: 0.0017 (0.0372) time: 2.5356 data: 0.0025 max mem: 31654 Epoch: [2] [2600/5278] eta: 1:52:16 lr: 4.7186654668722816e-05 loss: 0.1621 (0.1761) loss_seg: 0.1799 (0.1903) loss_lansim: 0.0988 (0.1043) loss_contra: 0.0016 (0.0371) time: 2.5359 data: 0.0026 max mem: 31654 Epoch: [2] [2610/5278] eta: 1:51:51 lr: 4.7184509414485097e-05 loss: 0.1620 (0.1761) loss_seg: 0.1781 (0.1903) loss_lansim: 0.0960 (0.1043) loss_contra: 0.0016 (0.0370) time: 2.5306 data: 0.0025 max mem: 31654 Epoch: [2] [2620/5278] eta: 1:51:26 lr: 4.718236414941015e-05 loss: 0.1501 (0.1761) loss_seg: 0.1669 (0.1902) loss_lansim: 0.0951 (0.1042) loss_contra: 0.0018 (0.0369) time: 2.5414 data: 0.0025 max mem: 31654 Epoch: [2] [2630/5278] eta: 1:51:01 lr: 4.718021887349739e-05 loss: 0.1497 (0.1761) loss_seg: 0.1665 (0.1904) loss_lansim: 0.0957 (0.1042) loss_contra: 0.0014 (0.0368) time: 2.5403 data: 0.0025 max mem: 31654 Epoch: [2] [2640/5278] eta: 1:50:35 lr: 4.717807358674621e-05 loss: 0.1575 (0.1762) loss_seg: 0.1709 (0.1904) loss_lansim: 0.0980 (0.1043) loss_contra: 0.0014 (0.0368) time: 2.5343 data: 0.0025 max mem: 31654 Epoch: [2] [2650/5278] eta: 1:50:09 lr: 4.7175928289155994e-05 loss: 0.1632 (0.1762) loss_seg: 0.1735 (0.1904) loss_lansim: 0.0989 (0.1043) loss_contra: 0.0028 (0.0368) time: 2.5219 data: 0.0025 max mem: 31654 Epoch: [2] [2660/5278] eta: 1:49:45 lr: 4.7173782980726164e-05 loss: 0.1692 (0.1761) loss_seg: 0.1754 (0.1904) loss_lansim: 0.0976 (0.1042) loss_contra: 0.0017 (0.0367) time: 2.5234 data: 0.0025 max mem: 31654 Epoch: [2] [2670/5278] eta: 1:49:19 lr: 4.7171637661456094e-05 loss: 0.1632 (0.1762) loss_seg: 0.1747 (0.1904) loss_lansim: 0.0960 (0.1042) loss_contra: 0.0014 (0.0367) time: 2.5221 data: 0.0025 max mem: 31654 Epoch: [2] [2680/5278] eta: 1:48:54 lr: 4.71694923313452e-05 loss: 0.1681 (0.1763) loss_seg: 0.1754 (0.1905) loss_lansim: 0.0960 (0.1042) loss_contra: 0.0014 (0.0365) time: 2.5224 data: 0.0025 max mem: 31654 Epoch: [2] [2690/5278] eta: 1:48:28 lr: 4.716734699039287e-05 loss: 0.1692 (0.1762) loss_seg: 0.1782 (0.1905) loss_lansim: 0.0936 (0.1041) loss_contra: 0.0013 (0.0364) time: 2.5039 data: 0.0025 max mem: 31654 Epoch: [2] [2700/5278] eta: 1:48:03 lr: 4.716520163859851e-05 loss: 0.1685 (0.1762) loss_seg: 0.1782 (0.1904) loss_lansim: 0.0953 (0.1041) loss_contra: 0.0014 (0.0363) time: 2.5002 data: 0.0025 max mem: 31654 Epoch: [2] [2710/5278] eta: 1:47:38 lr: 4.716305627596151e-05 loss: 0.1595 (0.1761) loss_seg: 0.1709 (0.1903) loss_lansim: 0.0971 (0.1041) loss_contra: 0.0013 (0.0363) time: 2.4987 data: 0.0025 max mem: 31654 Epoch: [2] [2720/5278] eta: 1:47:13 lr: 4.7160910902481254e-05 loss: 0.1632 (0.1760) loss_seg: 0.1756 (0.1903) loss_lansim: 0.0981 (0.1041) loss_contra: 0.0011 (0.0363) time: 2.4970 data: 0.0025 max mem: 31654 Epoch: [2] [2730/5278] eta: 1:46:47 lr: 4.715876551815716e-05 loss: 0.1692 (0.1763) loss_seg: 0.1816 (0.1906) loss_lansim: 0.0999 (0.1041) loss_contra: 0.0011 (0.0362) time: 2.4973 data: 0.0025 max mem: 31654 Epoch: [2] [2740/5278] eta: 1:46:23 lr: 4.715662012298862e-05 loss: 0.1691 (0.1764) loss_seg: 0.1857 (0.1907) loss_lansim: 0.0989 (0.1042) loss_contra: 0.0009 (0.0360) time: 2.5062 data: 0.0025 max mem: 31654 Epoch: [2] [2750/5278] eta: 1:45:57 lr: 4.715447471697503e-05 loss: 0.1685 (0.1764) loss_seg: 0.1868 (0.1907) loss_lansim: 0.0989 (0.1042) loss_contra: 0.0008 (0.0360) time: 2.5041 data: 0.0025 max mem: 31654 Epoch: [2] [2760/5278] eta: 1:45:32 lr: 4.715232930011578e-05 loss: 0.1611 (0.1764) loss_seg: 0.1779 (0.1907) loss_lansim: 0.1017 (0.1042) loss_contra: 0.0007 (0.0360) time: 2.5047 data: 0.0025 max mem: 31654 Epoch: [2] [2770/5278] eta: 1:45:07 lr: 4.715018387241027e-05 loss: 0.1611 (0.1764) loss_seg: 0.1770 (0.1907) loss_lansim: 0.1053 (0.1043) loss_contra: 0.0006 (0.0359) time: 2.5073 data: 0.0025 max mem: 31654 Epoch: [2] [2780/5278] eta: 1:44:41 lr: 4.714803843385791e-05 loss: 0.1547 (0.1763) loss_seg: 0.1686 (0.1906) loss_lansim: 0.1055 (0.1043) loss_contra: 0.0005 (0.0358) time: 2.5045 data: 0.0025 max mem: 31654 Epoch: [2] [2790/5278] eta: 1:44:16 lr: 4.7145892984458077e-05 loss: 0.1547 (0.1762) loss_seg: 0.1692 (0.1905) loss_lansim: 0.1057 (0.1042) loss_contra: 0.0006 (0.0358) time: 2.5050 data: 0.0025 max mem: 31654 Epoch: [2] [2800/5278] eta: 1:43:50 lr: 4.714374752421018e-05 loss: 0.1498 (0.1760) loss_seg: 0.1600 (0.1903) loss_lansim: 0.1057 (0.1042) loss_contra: 0.0005 (0.0357) time: 2.5009 data: 0.0025 max mem: 31654 Epoch: [2] [2810/5278] eta: 1:43:25 lr: 4.714160205311361e-05 loss: 0.1506 (0.1760) loss_seg: 0.1603 (0.1903) loss_lansim: 0.1059 (0.1043) loss_contra: 0.0004 (0.0357) time: 2.5066 data: 0.0025 max mem: 31654 Epoch: [2] [2820/5278] eta: 1:43:00 lr: 4.713945657116777e-05 loss: 0.1506 (0.1760) loss_seg: 0.1603 (0.1903) loss_lansim: 0.1059 (0.1043) loss_contra: 0.0004 (0.0356) time: 2.5039 data: 0.0025 max mem: 31654 Epoch: [2] [2830/5278] eta: 1:42:35 lr: 4.7137311078372046e-05 loss: 0.1491 (0.1760) loss_seg: 0.1603 (0.1903) loss_lansim: 0.1035 (0.1043) loss_contra: 0.0004 (0.0355) time: 2.5083 data: 0.0025 max mem: 31654 Epoch: [2] [2840/5278] eta: 1:42:10 lr: 4.713516557472585e-05 loss: 0.1453 (0.1761) loss_seg: 0.1590 (0.1904) loss_lansim: 0.1017 (0.1043) loss_contra: 0.0004 (0.0355) time: 2.5016 data: 0.0025 max mem: 31654 Epoch: [2] [2850/5278] eta: 1:41:45 lr: 4.713302006022856e-05 loss: 0.1427 (0.1762) loss_seg: 0.1564 (0.1905) loss_lansim: 0.1015 (0.1043) loss_contra: 0.0005 (0.0354) time: 2.5084 data: 0.0025 max mem: 31654 Epoch: [2] [2860/5278] eta: 1:41:20 lr: 4.713087453487959e-05 loss: 0.1426 (0.1761) loss_seg: 0.1552 (0.1904) loss_lansim: 0.1015 (0.1044) loss_contra: 0.0005 (0.0353) time: 2.5073 data: 0.0025 max mem: 31654 Epoch: [2] [2870/5278] eta: 1:40:55 lr: 4.712872899867832e-05 loss: 0.1427 (0.1761) loss_seg: 0.1552 (0.1904) loss_lansim: 0.1010 (0.1044) loss_contra: 0.0007 (0.0353) time: 2.5133 data: 0.0025 max mem: 31654 Epoch: [2] [2880/5278] eta: 1:40:30 lr: 4.712658345162415e-05 loss: 0.1508 (0.1759) loss_seg: 0.1660 (0.1902) loss_lansim: 0.1002 (0.1044) loss_contra: 0.0012 (0.0353) time: 2.5202 data: 0.0026 max mem: 31654 Epoch: [2] [2890/5278] eta: 1:40:05 lr: 4.712443789371649e-05 loss: 0.1427 (0.1759) loss_seg: 0.1548 (0.1902) loss_lansim: 0.1010 (0.1044) loss_contra: 0.0012 (0.0352) time: 2.5172 data: 0.0025 max mem: 31654 Epoch: [2] [2900/5278] eta: 1:39:39 lr: 4.712229232495472e-05 loss: 0.1516 (0.1759) loss_seg: 0.1680 (0.1901) loss_lansim: 0.1065 (0.1044) loss_contra: 0.0012 (0.0351) time: 2.5145 data: 0.0025 max mem: 31654 Epoch: [2] [2910/5278] eta: 1:39:13 lr: 4.712014674533825e-05 loss: 0.1508 (0.1757) loss_seg: 0.1604 (0.1900) loss_lansim: 0.1033 (0.1044) loss_contra: 0.0015 (0.0351) time: 2.5081 data: 0.0025 max mem: 31654 Epoch: [2] [2920/5278] eta: 1:38:48 lr: 4.711800115486645e-05 loss: 0.1487 (0.1757) loss_seg: 0.1604 (0.1900) loss_lansim: 0.1049 (0.1044) loss_contra: 0.0023 (0.0352) time: 2.5102 data: 0.0025 max mem: 31654 Epoch: [2] [2930/5278] eta: 1:38:23 lr: 4.711585555353875e-05 loss: 0.1487 (0.1758) loss_seg: 0.1604 (0.1900) loss_lansim: 0.1057 (0.1044) loss_contra: 0.0023 (0.0352) time: 2.5088 data: 0.0025 max mem: 31654 Epoch: [2] [2940/5278] eta: 1:37:58 lr: 4.7113709941354525e-05 loss: 0.1383 (0.1756) loss_seg: 0.1509 (0.1898) loss_lansim: 0.1057 (0.1044) loss_contra: 0.0023 (0.0351) time: 2.5106 data: 0.0025 max mem: 31654 Epoch: [2] [2950/5278] eta: 1:37:33 lr: 4.711156431831317e-05 loss: 0.1410 (0.1757) loss_seg: 0.1549 (0.1899) loss_lansim: 0.1057 (0.1044) loss_contra: 0.0035 (0.0351) time: 2.5094 data: 0.0025 max mem: 31654 Epoch: [2] [2960/5278] eta: 1:37:08 lr: 4.710941868441409e-05 loss: 0.1441 (0.1757) loss_seg: 0.1584 (0.1899) loss_lansim: 0.1057 (0.1045) loss_contra: 0.0030 (0.0351) time: 2.5125 data: 0.0025 max mem: 31654 Epoch: [2] [2970/5278] eta: 1:36:43 lr: 4.710727303965668e-05 loss: 0.1441 (0.1756) loss_seg: 0.1584 (0.1899) loss_lansim: 0.1065 (0.1045) loss_contra: 0.0025 (0.0351) time: 2.5067 data: 0.0025 max mem: 31654 Epoch: [2] [2980/5278] eta: 1:36:18 lr: 4.710512738404033e-05 loss: 0.1487 (0.1758) loss_seg: 0.1646 (0.1900) loss_lansim: 0.1066 (0.1045) loss_contra: 0.0025 (0.0352) time: 2.5123 data: 0.0025 max mem: 31654 Epoch: [2] [2990/5278] eta: 1:35:53 lr: 4.710298171756443e-05 loss: 0.1542 (0.1758) loss_seg: 0.1672 (0.1901) loss_lansim: 0.1052 (0.1045) loss_contra: 0.0025 (0.0352) time: 2.5134 data: 0.0025 max mem: 31654 Epoch: [2] [3000/5278] eta: 1:35:28 lr: 4.710083604022839e-05 loss: 0.1544 (0.1758) loss_seg: 0.1697 (0.1900) loss_lansim: 0.1033 (0.1045) loss_contra: 0.0025 (0.0352) time: 2.5256 data: 0.0025 max mem: 31654 Epoch: [2] [3010/5278] eta: 1:35:03 lr: 4.709869035203159e-05 loss: 0.1573 (0.1757) loss_seg: 0.1719 (0.1900) loss_lansim: 0.1025 (0.1044) loss_contra: 0.0025 (0.0352) time: 2.5246 data: 0.0025 max mem: 31654 Epoch: [2] [3020/5278] eta: 1:34:38 lr: 4.709654465297344e-05 loss: 0.1573 (0.1756) loss_seg: 0.1719 (0.1899) loss_lansim: 0.1023 (0.1044) loss_contra: 0.0025 (0.0351) time: 2.5224 data: 0.0025 max mem: 31654 Epoch: [2] [3030/5278] eta: 1:34:13 lr: 4.709439894305333e-05 loss: 0.1568 (0.1757) loss_seg: 0.1697 (0.1900) loss_lansim: 0.1023 (0.1045) loss_contra: 0.0025 (0.0351) time: 2.5260 data: 0.0024 max mem: 31654 Epoch: [2] [3040/5278] eta: 1:33:47 lr: 4.709225322227065e-05 loss: 0.1573 (0.1756) loss_seg: 0.1732 (0.1899) loss_lansim: 0.1026 (0.1045) loss_contra: 0.0025 (0.0351) time: 2.5208 data: 0.0024 max mem: 31654 Epoch: [2] [3050/5278] eta: 1:33:22 lr: 4.70901074906248e-05 loss: 0.1568 (0.1756) loss_seg: 0.1719 (0.1899) loss_lansim: 0.1040 (0.1045) loss_contra: 0.0022 (0.0350) time: 2.5221 data: 0.0024 max mem: 31654 Epoch: [2] [3060/5278] eta: 1:32:57 lr: 4.708796174811517e-05 loss: 0.1568 (0.1755) loss_seg: 0.1690 (0.1897) loss_lansim: 0.1048 (0.1046) loss_contra: 0.0022 (0.0349) time: 2.5155 data: 0.0025 max mem: 31654 Epoch: [2] [3070/5278] eta: 1:32:32 lr: 4.7085815994741165e-05 loss: 0.1557 (0.1754) loss_seg: 0.1638 (0.1897) loss_lansim: 0.1048 (0.1046) loss_contra: 0.0022 (0.0348) time: 2.5184 data: 0.0024 max mem: 31654 Epoch: [2] [3080/5278] eta: 1:32:07 lr: 4.708367023050217e-05 loss: 0.1474 (0.1754) loss_seg: 0.1586 (0.1897) loss_lansim: 0.1067 (0.1047) loss_contra: 0.0022 (0.0348) time: 2.5176 data: 0.0024 max mem: 31654 Epoch: [2] [3090/5278] eta: 1:31:42 lr: 4.708152445539758e-05 loss: 0.1464 (0.1753) loss_seg: 0.1586 (0.1896) loss_lansim: 0.1074 (0.1047) loss_contra: 0.0022 (0.0347) time: 2.5216 data: 0.0024 max mem: 31654 Epoch: [2] [3100/5278] eta: 1:31:17 lr: 4.7079378669426796e-05 loss: 0.1464 (0.1754) loss_seg: 0.1586 (0.1897) loss_lansim: 0.1098 (0.1047) loss_contra: 0.0020 (0.0346) time: 2.5182 data: 0.0024 max mem: 31654 Epoch: [2] [3110/5278] eta: 1:30:52 lr: 4.707723287258921e-05 loss: 0.1462 (0.1754) loss_seg: 0.1560 (0.1897) loss_lansim: 0.1110 (0.1047) loss_contra: 0.0016 (0.0345) time: 2.5258 data: 0.0024 max mem: 31654 Epoch: [2] [3120/5278] eta: 1:30:27 lr: 4.707508706488422e-05 loss: 0.1469 (0.1755) loss_seg: 0.1626 (0.1897) loss_lansim: 0.1102 (0.1047) loss_contra: 0.0015 (0.0346) time: 2.5272 data: 0.0024 max mem: 31654 Epoch: [2] [3130/5278] eta: 1:30:01 lr: 4.7072941246311204e-05 loss: 0.1474 (0.1755) loss_seg: 0.1627 (0.1897) loss_lansim: 0.1101 (0.1048) loss_contra: 0.0015 (0.0345) time: 2.5137 data: 0.0025 max mem: 31654 Epoch: [2] [3140/5278] eta: 1:29:36 lr: 4.707079541686958e-05 loss: 0.1474 (0.1754) loss_seg: 0.1627 (0.1896) loss_lansim: 0.1112 (0.1048) loss_contra: 0.0016 (0.0348) time: 2.5235 data: 0.0025 max mem: 31654 Epoch: [2] [3150/5278] eta: 1:29:11 lr: 4.7068649576558725e-05 loss: 0.1493 (0.1754) loss_seg: 0.1663 (0.1897) loss_lansim: 0.1101 (0.1048) loss_contra: 0.0016 (0.0348) time: 2.5186 data: 0.0024 max mem: 31654 Epoch: [2] [3160/5278] eta: 1:28:46 lr: 4.7066503725378046e-05 loss: 0.1493 (0.1754) loss_seg: 0.1663 (0.1896) loss_lansim: 0.1085 (0.1048) loss_contra: 0.0016 (0.0348) time: 2.5174 data: 0.0025 max mem: 31654 Epoch: [2] [3170/5278] eta: 1:28:21 lr: 4.706435786332693e-05 loss: 0.1521 (0.1755) loss_seg: 0.1683 (0.1897) loss_lansim: 0.1080 (0.1049) loss_contra: 0.0015 (0.0348) time: 2.5211 data: 0.0024 max mem: 31654 Epoch: [2] [3180/5278] eta: 1:27:56 lr: 4.706221199040477e-05 loss: 0.1521 (0.1754) loss_seg: 0.1683 (0.1897) loss_lansim: 0.1075 (0.1049) loss_contra: 0.0013 (0.0348) time: 2.5190 data: 0.0025 max mem: 31654 Epoch: [2] [3190/5278] eta: 1:27:31 lr: 4.706006610661097e-05 loss: 0.1555 (0.1754) loss_seg: 0.1686 (0.1897) loss_lansim: 0.1074 (0.1049) loss_contra: 0.0015 (0.0347) time: 2.5197 data: 0.0025 max mem: 31654 Epoch: [2] [3200/5278] eta: 1:27:06 lr: 4.7057920211944906e-05 loss: 0.1639 (0.1755) loss_seg: 0.1747 (0.1898) loss_lansim: 0.1074 (0.1049) loss_contra: 0.0013 (0.0346) time: 2.5198 data: 0.0025 max mem: 31654 Epoch: [2] [3210/5278] eta: 1:26:41 lr: 4.705577430640599e-05 loss: 0.1661 (0.1756) loss_seg: 0.1837 (0.1899) loss_lansim: 0.1058 (0.1049) loss_contra: 0.0015 (0.0346) time: 2.5191 data: 0.0025 max mem: 31654 Epoch: [2] [3220/5278] eta: 1:26:15 lr: 4.70536283899936e-05 loss: 0.1669 (0.1756) loss_seg: 0.1850 (0.1899) loss_lansim: 0.1058 (0.1049) loss_contra: 0.0015 (0.0346) time: 2.5124 data: 0.0025 max mem: 31654 Epoch: [2] [3230/5278] eta: 1:25:50 lr: 4.7051482462707156e-05 loss: 0.1674 (0.1756) loss_seg: 0.1856 (0.1899) loss_lansim: 0.1053 (0.1049) loss_contra: 0.0015 (0.0346) time: 2.5180 data: 0.0025 max mem: 31654 Epoch: [2] [3240/5278] eta: 1:25:25 lr: 4.704933652454602e-05 loss: 0.1674 (0.1757) loss_seg: 0.1856 (0.1899) loss_lansim: 0.1049 (0.1049) loss_contra: 0.0011 (0.0346) time: 2.5152 data: 0.0025 max mem: 31654 Epoch: [2] [3250/5278] eta: 1:25:00 lr: 4.70471905755096e-05 loss: 0.1652 (0.1755) loss_seg: 0.1791 (0.1898) loss_lansim: 0.1053 (0.1050) loss_contra: 0.0010 (0.0346) time: 2.5217 data: 0.0025 max mem: 31654 Epoch: [2] [3260/5278] eta: 1:24:34 lr: 4.7045044615597296e-05 loss: 0.1661 (0.1755) loss_seg: 0.1838 (0.1898) loss_lansim: 0.1048 (0.1050) loss_contra: 0.0008 (0.0346) time: 2.5199 data: 0.0025 max mem: 31654 Epoch: [2] [3270/5278] eta: 1:24:09 lr: 4.70428986448085e-05 loss: 0.1610 (0.1754) loss_seg: 0.1742 (0.1897) loss_lansim: 0.1045 (0.1051) loss_contra: 0.0010 (0.0348) time: 2.5115 data: 0.0025 max mem: 31654 Epoch: [2] [3280/5278] eta: 1:23:44 lr: 4.704075266314259e-05 loss: 0.1615 (0.1754) loss_seg: 0.1747 (0.1897) loss_lansim: 0.1048 (0.1051) loss_contra: 0.0011 (0.0347) time: 2.5117 data: 0.0025 max mem: 31654 Epoch: [2] [3290/5278] eta: 1:23:19 lr: 4.703860667059897e-05 loss: 0.1615 (0.1755) loss_seg: 0.1799 (0.1897) loss_lansim: 0.1056 (0.1051) loss_contra: 0.0010 (0.0346) time: 2.5068 data: 0.0025 max mem: 31654 Epoch: [2] [3300/5278] eta: 1:22:53 lr: 4.703646066717705e-05 loss: 0.1479 (0.1754) loss_seg: 0.1646 (0.1897) loss_lansim: 0.1072 (0.1051) loss_contra: 0.0010 (0.0345) time: 2.5024 data: 0.0026 max mem: 31654 Epoch: [2] [3310/5278] eta: 1:22:29 lr: 4.7034314652876194e-05 loss: 0.1424 (0.1753) loss_seg: 0.1538 (0.1896) loss_lansim: 0.1075 (0.1051) loss_contra: 0.0011 (0.0346) time: 2.5054 data: 0.0026 max mem: 31654 Epoch: [2] [3320/5278] eta: 1:22:03 lr: 4.703216862769582e-05 loss: 0.1461 (0.1754) loss_seg: 0.1569 (0.1896) loss_lansim: 0.1072 (0.1051) loss_contra: 0.0011 (0.0345) time: 2.5051 data: 0.0025 max mem: 31654 Epoch: [2] [3330/5278] eta: 1:21:39 lr: 4.70300225916353e-05 loss: 0.1412 (0.1753) loss_seg: 0.1538 (0.1896) loss_lansim: 0.1085 (0.1052) loss_contra: 0.0020 (0.0345) time: 2.5153 data: 0.0025 max mem: 31654 Epoch: [2] [3340/5278] eta: 1:21:14 lr: 4.7027876544694036e-05 loss: 0.1461 (0.1753) loss_seg: 0.1569 (0.1896) loss_lansim: 0.1097 (0.1052) loss_contra: 0.0017 (0.0345) time: 2.5196 data: 0.0025 max mem: 31654 Epoch: [2] [3350/5278] eta: 1:20:49 lr: 4.702573048687143e-05 loss: 0.1514 (0.1753) loss_seg: 0.1649 (0.1895) loss_lansim: 0.1078 (0.1051) loss_contra: 0.0021 (0.0345) time: 2.5300 data: 0.0025 max mem: 31654 Epoch: [2] [3360/5278] eta: 1:20:24 lr: 4.702358441816687e-05 loss: 0.1514 (0.1752) loss_seg: 0.1649 (0.1894) loss_lansim: 0.1078 (0.1052) loss_contra: 0.0021 (0.0344) time: 2.5352 data: 0.0026 max mem: 31654 Epoch: [2] [3370/5278] eta: 1:19:59 lr: 4.702143833857973e-05 loss: 0.1532 (0.1751) loss_seg: 0.1688 (0.1893) loss_lansim: 0.1084 (0.1052) loss_contra: 0.0031 (0.0344) time: 2.5347 data: 0.0025 max mem: 31654 Epoch: [2] [3380/5278] eta: 1:19:33 lr: 4.701929224810943e-05 loss: 0.1532 (0.1751) loss_seg: 0.1677 (0.1893) loss_lansim: 0.1085 (0.1052) loss_contra: 0.0040 (0.0354) time: 2.5258 data: 0.0025 max mem: 31654 Epoch: [2] [3390/5278] eta: 1:19:08 lr: 4.7017146146755356e-05 loss: 0.1510 (0.1751) loss_seg: 0.1649 (0.1893) loss_lansim: 0.1108 (0.1053) loss_contra: 0.0031 (0.0354) time: 2.5324 data: 0.0025 max mem: 31654 Epoch: [2] [3400/5278] eta: 1:18:43 lr: 4.70150000345169e-05 loss: 0.1413 (0.1750) loss_seg: 0.1561 (0.1892) loss_lansim: 0.1097 (0.1054) loss_contra: 0.0040 (0.0353) time: 2.5385 data: 0.0025 max mem: 31654 Epoch: [2] [3410/5278] eta: 1:18:18 lr: 4.701285391139345e-05 loss: 0.1532 (0.1751) loss_seg: 0.1666 (0.1894) loss_lansim: 0.1119 (0.1054) loss_contra: 0.0052 (0.0354) time: 2.5344 data: 0.0025 max mem: 31654 Epoch: [2] [3420/5278] eta: 1:17:53 lr: 4.701070777738439e-05 loss: 0.1459 (0.1751) loss_seg: 0.1561 (0.1893) loss_lansim: 0.1116 (0.1055) loss_contra: 0.0052 (0.0353) time: 2.5449 data: 0.0025 max mem: 31654 Epoch: [2] [3430/5278] eta: 1:17:28 lr: 4.7008561632489127e-05 loss: 0.1532 (0.1751) loss_seg: 0.1677 (0.1894) loss_lansim: 0.1113 (0.1055) loss_contra: 0.0038 (0.0353) time: 2.5340 data: 0.0026 max mem: 31654 Epoch: [2] [3440/5278] eta: 1:17:03 lr: 4.700641547670706e-05 loss: 0.1532 (0.1752) loss_seg: 0.1677 (0.1895) loss_lansim: 0.1129 (0.1056) loss_contra: 0.0040 (0.0353) time: 2.5291 data: 0.0026 max mem: 31654 Epoch: [2] [3450/5278] eta: 1:16:38 lr: 4.700426931003756e-05 loss: 0.1572 (0.1753) loss_seg: 0.1705 (0.1895) loss_lansim: 0.1151 (0.1056) loss_contra: 0.0036 (0.0353) time: 2.5162 data: 0.0026 max mem: 31654 Epoch: [2] [3460/5278] eta: 1:16:13 lr: 4.700212313248004e-05 loss: 0.1505 (0.1752) loss_seg: 0.1660 (0.1894) loss_lansim: 0.1154 (0.1056) loss_contra: 0.0032 (0.0353) time: 2.5174 data: 0.0026 max mem: 31654 Epoch: [2] [3470/5278] eta: 1:15:47 lr: 4.699997694403387e-05 loss: 0.1572 (0.1753) loss_seg: 0.1677 (0.1895) loss_lansim: 0.1167 (0.1056) loss_contra: 0.0032 (0.0353) time: 2.5195 data: 0.0026 max mem: 31654 Epoch: [2] [3480/5278] eta: 1:15:22 lr: 4.699783074469847e-05 loss: 0.1582 (0.1753) loss_seg: 0.1690 (0.1895) loss_lansim: 0.1154 (0.1056) loss_contra: 0.0027 (0.0352) time: 2.5227 data: 0.0026 max mem: 31654 Epoch: [2] [3490/5278] eta: 1:14:57 lr: 4.699568453447321e-05 loss: 0.1639 (0.1754) loss_seg: 0.1783 (0.1896) loss_lansim: 0.1151 (0.1057) loss_contra: 0.0032 (0.0353) time: 2.5126 data: 0.0026 max mem: 31654 Epoch: [2] [3500/5278] eta: 1:14:31 lr: 4.6993538313357495e-05 loss: 0.1684 (0.1753) loss_seg: 0.1798 (0.1896) loss_lansim: 0.1138 (0.1057) loss_contra: 0.0025 (0.0352) time: 2.5069 data: 0.0026 max mem: 31654 Epoch: [2] [3510/5278] eta: 1:14:06 lr: 4.699139208135071e-05 loss: 0.1639 (0.1753) loss_seg: 0.1783 (0.1896) loss_lansim: 0.1138 (0.1057) loss_contra: 0.0022 (0.0352) time: 2.5047 data: 0.0026 max mem: 31654 Epoch: [2] [3520/5278] eta: 1:13:41 lr: 4.6989245838452236e-05 loss: 0.1670 (0.1754) loss_seg: 0.1787 (0.1896) loss_lansim: 0.1154 (0.1058) loss_contra: 0.0020 (0.0351) time: 2.5027 data: 0.0026 max mem: 31654 Epoch: [2] [3530/5278] eta: 1:13:16 lr: 4.69870995846615e-05 loss: 0.1604 (0.1754) loss_seg: 0.1771 (0.1896) loss_lansim: 0.1149 (0.1058) loss_contra: 0.0020 (0.0351) time: 2.5108 data: 0.0026 max mem: 31654 Epoch: [2] [3540/5278] eta: 1:12:51 lr: 4.698495331997785e-05 loss: 0.1604 (0.1754) loss_seg: 0.1771 (0.1896) loss_lansim: 0.1128 (0.1058) loss_contra: 0.0020 (0.0350) time: 2.5060 data: 0.0025 max mem: 31654 Epoch: [2] [3550/5278] eta: 1:12:26 lr: 4.6982807044400714e-05 loss: 0.1601 (0.1753) loss_seg: 0.1761 (0.1896) loss_lansim: 0.1130 (0.1058) loss_contra: 0.0025 (0.0350) time: 2.5024 data: 0.0025 max mem: 31654 Epoch: [2] [3560/5278] eta: 1:12:00 lr: 4.6980660757929465e-05 loss: 0.1597 (0.1753) loss_seg: 0.1761 (0.1896) loss_lansim: 0.1135 (0.1059) loss_contra: 0.0025 (0.0349) time: 2.4915 data: 0.0026 max mem: 31654 Epoch: [2] [3570/5278] eta: 1:11:35 lr: 4.69785144605635e-05 loss: 0.1597 (0.1753) loss_seg: 0.1761 (0.1895) loss_lansim: 0.1128 (0.1059) loss_contra: 0.0016 (0.0348) time: 2.5003 data: 0.0025 max mem: 31654 Epoch: [2] [3580/5278] eta: 1:11:10 lr: 4.697636815230221e-05 loss: 0.1553 (0.1753) loss_seg: 0.1728 (0.1895) loss_lansim: 0.1130 (0.1059) loss_contra: 0.0013 (0.0347) time: 2.4955 data: 0.0025 max mem: 31654 Epoch: [2] [3590/5278] eta: 1:10:44 lr: 4.697422183314498e-05 loss: 0.1509 (0.1753) loss_seg: 0.1668 (0.1895) loss_lansim: 0.1135 (0.1060) loss_contra: 0.0012 (0.0346) time: 2.5006 data: 0.0025 max mem: 31654 Epoch: [2] [3600/5278] eta: 1:10:19 lr: 4.6972075503091216e-05 loss: 0.1500 (0.1752) loss_seg: 0.1648 (0.1894) loss_lansim: 0.1130 (0.1060) loss_contra: 0.0012 (0.0346) time: 2.4973 data: 0.0025 max mem: 31654 Epoch: [2] [3610/5278] eta: 1:09:54 lr: 4.6969929162140305e-05 loss: 0.1500 (0.1752) loss_seg: 0.1648 (0.1894) loss_lansim: 0.1159 (0.1061) loss_contra: 0.0013 (0.0348) time: 2.4975 data: 0.0025 max mem: 31654 Epoch: [2] [3620/5278] eta: 1:09:28 lr: 4.6967782810291625e-05 loss: 0.1509 (0.1752) loss_seg: 0.1668 (0.1894) loss_lansim: 0.1157 (0.1061) loss_contra: 0.0018 (0.0348) time: 2.4863 data: 0.0025 max mem: 31654 Epoch: [2] [3630/5278] eta: 1:09:03 lr: 4.6965636447544584e-05 loss: 0.1509 (0.1752) loss_seg: 0.1668 (0.1894) loss_lansim: 0.1157 (0.1061) loss_contra: 0.0013 (0.0348) time: 2.4753 data: 0.0025 max mem: 31654 Epoch: [2] [3640/5278] eta: 1:08:38 lr: 4.696349007389856e-05 loss: 0.1509 (0.1752) loss_seg: 0.1668 (0.1894) loss_lansim: 0.1157 (0.1061) loss_contra: 0.0018 (0.0348) time: 2.4796 data: 0.0025 max mem: 31654 Epoch: [2] [3650/5278] eta: 1:08:13 lr: 4.696134368935296e-05 loss: 0.1509 (0.1752) loss_seg: 0.1668 (0.1894) loss_lansim: 0.1134 (0.1061) loss_contra: 0.0012 (0.0347) time: 2.4846 data: 0.0025 max mem: 31654 Epoch: [2] [3660/5278] eta: 1:07:48 lr: 4.6959197293907146e-05 loss: 0.1551 (0.1752) loss_seg: 0.1702 (0.1894) loss_lansim: 0.1130 (0.1061) loss_contra: 0.0011 (0.0347) time: 2.4925 data: 0.0025 max mem: 31654 Epoch: [2] [3670/5278] eta: 1:07:22 lr: 4.695705088756054e-05 loss: 0.1620 (0.1753) loss_seg: 0.1798 (0.1895) loss_lansim: 0.1146 (0.1062) loss_contra: 0.0013 (0.0346) time: 2.4843 data: 0.0025 max mem: 31654 Epoch: [2] [3680/5278] eta: 1:06:57 lr: 4.695490447031253e-05 loss: 0.1578 (0.1752) loss_seg: 0.1755 (0.1894) loss_lansim: 0.1146 (0.1062) loss_contra: 0.0014 (0.0346) time: 2.4946 data: 0.0025 max mem: 31654 Epoch: [2] [3690/5278] eta: 1:06:32 lr: 4.695275804216249e-05 loss: 0.1672 (0.1753) loss_seg: 0.1802 (0.1895) loss_lansim: 0.1135 (0.1062) loss_contra: 0.0016 (0.0345) time: 2.4960 data: 0.0025 max mem: 31654 Epoch: [2] [3700/5278] eta: 1:06:07 lr: 4.695061160310982e-05 loss: 0.1694 (0.1752) loss_seg: 0.1802 (0.1894) loss_lansim: 0.1135 (0.1062) loss_contra: 0.0016 (0.0345) time: 2.4973 data: 0.0025 max mem: 31654 Epoch: [2] [3710/5278] eta: 1:05:42 lr: 4.694846515315391e-05 loss: 0.1694 (0.1752) loss_seg: 0.1800 (0.1894) loss_lansim: 0.1102 (0.1062) loss_contra: 0.0012 (0.0344) time: 2.4966 data: 0.0025 max mem: 31654 Epoch: [2] [3720/5278] eta: 1:05:17 lr: 4.694631869229415e-05 loss: 0.1551 (0.1755) loss_seg: 0.1686 (0.1897) loss_lansim: 0.1081 (0.1062) loss_contra: 0.0011 (0.0343) time: 2.5056 data: 0.0025 max mem: 31654 Epoch: [2] [3730/5278] eta: 1:04:52 lr: 4.6944172220529934e-05 loss: 0.1694 (0.1755) loss_seg: 0.1756 (0.1897) loss_lansim: 0.1069 (0.1062) loss_contra: 0.0011 (0.0343) time: 2.5175 data: 0.0025 max mem: 31654 Epoch: [2] [3740/5278] eta: 1:04:26 lr: 4.6942025737860653e-05 loss: 0.1694 (0.1755) loss_seg: 0.1802 (0.1897) loss_lansim: 0.1081 (0.1062) loss_contra: 0.0011 (0.0343) time: 2.5137 data: 0.0025 max mem: 31654 Epoch: [2] [3750/5278] eta: 1:04:01 lr: 4.693987924428568e-05 loss: 0.1651 (0.1754) loss_seg: 0.1756 (0.1896) loss_lansim: 0.1102 (0.1063) loss_contra: 0.0011 (0.0342) time: 2.5136 data: 0.0025 max mem: 31654 Epoch: [2] [3760/5278] eta: 1:03:36 lr: 4.6937732739804435e-05 loss: 0.1653 (0.1755) loss_seg: 0.1837 (0.1898) loss_lansim: 0.1092 (0.1062) loss_contra: 0.0008 (0.0342) time: 2.5106 data: 0.0025 max mem: 31654 Epoch: [2] [3770/5278] eta: 1:03:11 lr: 4.69355862244163e-05 loss: 0.1508 (0.1755) loss_seg: 0.1668 (0.1897) loss_lansim: 0.1061 (0.1062) loss_contra: 0.0010 (0.0341) time: 2.5211 data: 0.0025 max mem: 31654 Epoch: [2] [3780/5278] eta: 1:02:46 lr: 4.693343969812064e-05 loss: 0.1617 (0.1756) loss_seg: 0.1761 (0.1898) loss_lansim: 0.1042 (0.1062) loss_contra: 0.0007 (0.0340) time: 2.5127 data: 0.0025 max mem: 31654 Epoch: [2] [3790/5278] eta: 1:02:20 lr: 4.693129316091687e-05 loss: 0.1651 (0.1756) loss_seg: 0.1801 (0.1899) loss_lansim: 0.1053 (0.1062) loss_contra: 0.0008 (0.0340) time: 2.5062 data: 0.0025 max mem: 31654 Epoch: [2] [3800/5278] eta: 1:01:55 lr: 4.692914661280437e-05 loss: 0.1580 (0.1755) loss_seg: 0.1761 (0.1898) loss_lansim: 0.1053 (0.1063) loss_contra: 0.0007 (0.0340) time: 2.5108 data: 0.0025 max mem: 31654 Epoch: [2] [3810/5278] eta: 1:01:30 lr: 4.6927000053782547e-05 loss: 0.1597 (0.1755) loss_seg: 0.1777 (0.1898) loss_lansim: 0.1063 (0.1062) loss_contra: 0.0008 (0.0339) time: 2.5127 data: 0.0025 max mem: 31654 Epoch: [2] [3820/5278] eta: 1:01:05 lr: 4.692485348385078e-05 loss: 0.1597 (0.1755) loss_seg: 0.1777 (0.1898) loss_lansim: 0.1071 (0.1062) loss_contra: 0.0008 (0.0339) time: 2.5128 data: 0.0025 max mem: 31654 Epoch: [2] [3830/5278] eta: 1:00:40 lr: 4.692270690300844e-05 loss: 0.1617 (0.1757) loss_seg: 0.1801 (0.1899) loss_lansim: 0.1079 (0.1063) loss_contra: 0.0009 (0.0338) time: 2.5100 data: 0.0024 max mem: 31654 Epoch: [2] [3840/5278] eta: 1:00:15 lr: 4.692056031125495e-05 loss: 0.1593 (0.1757) loss_seg: 0.1761 (0.1899) loss_lansim: 0.1071 (0.1063) loss_contra: 0.0008 (0.0338) time: 2.5100 data: 0.0024 max mem: 31654 Epoch: [2] [3850/5278] eta: 0:59:50 lr: 4.6918413708589685e-05 loss: 0.1618 (0.1757) loss_seg: 0.1794 (0.1899) loss_lansim: 0.1063 (0.1063) loss_contra: 0.0010 (0.0338) time: 2.5115 data: 0.0025 max mem: 31654 Epoch: [2] [3860/5278] eta: 0:59:25 lr: 4.691626709501203e-05 loss: 0.1580 (0.1756) loss_seg: 0.1716 (0.1898) loss_lansim: 0.1076 (0.1063) loss_contra: 0.0010 (0.0337) time: 2.5145 data: 0.0024 max mem: 31654 Epoch: [2] [3870/5278] eta: 0:59:00 lr: 4.6914120470521374e-05 loss: 0.1616 (0.1756) loss_seg: 0.1765 (0.1899) loss_lansim: 0.1071 (0.1062) loss_contra: 0.0011 (0.0337) time: 2.5152 data: 0.0024 max mem: 31654 Epoch: [2] [3880/5278] eta: 0:58:34 lr: 4.691197383511712e-05 loss: 0.1597 (0.1756) loss_seg: 0.1716 (0.1898) loss_lansim: 0.1062 (0.1062) loss_contra: 0.0020 (0.0337) time: 2.5139 data: 0.0024 max mem: 31654 Epoch: [2] [3890/5278] eta: 0:58:09 lr: 4.6909827188798646e-05 loss: 0.1578 (0.1756) loss_seg: 0.1689 (0.1898) loss_lansim: 0.1052 (0.1063) loss_contra: 0.0013 (0.0337) time: 2.5230 data: 0.0024 max mem: 31654 Epoch: [2] [3900/5278] eta: 0:57:44 lr: 4.690768053156535e-05 loss: 0.1618 (0.1755) loss_seg: 0.1716 (0.1898) loss_lansim: 0.1041 (0.1062) loss_contra: 0.0015 (0.0337) time: 2.5211 data: 0.0024 max mem: 31654 Epoch: [2] [3910/5278] eta: 0:57:19 lr: 4.690553386341661e-05 loss: 0.1616 (0.1755) loss_seg: 0.1689 (0.1897) loss_lansim: 0.1024 (0.1062) loss_contra: 0.0020 (0.0337) time: 2.5260 data: 0.0024 max mem: 31654 Epoch: [2] [3920/5278] eta: 0:56:54 lr: 4.6903387184351815e-05 loss: 0.1618 (0.1755) loss_seg: 0.1675 (0.1897) loss_lansim: 0.1016 (0.1062) loss_contra: 0.0020 (0.0336) time: 2.5223 data: 0.0025 max mem: 31654 Epoch: [2] [3930/5278] eta: 0:56:29 lr: 4.6901240494370367e-05 loss: 0.1593 (0.1754) loss_seg: 0.1668 (0.1897) loss_lansim: 0.1016 (0.1062) loss_contra: 0.0013 (0.0336) time: 2.5243 data: 0.0025 max mem: 31654 Epoch: [2] [3940/5278] eta: 0:56:04 lr: 4.689909379347165e-05 loss: 0.1502 (0.1753) loss_seg: 0.1661 (0.1896) loss_lansim: 0.0987 (0.1062) loss_contra: 0.0013 (0.0335) time: 2.5292 data: 0.0025 max mem: 31654 Epoch: [2] [3950/5278] eta: 0:55:39 lr: 4.6896947081655064e-05 loss: 0.1502 (0.1753) loss_seg: 0.1667 (0.1896) loss_lansim: 0.0983 (0.1062) loss_contra: 0.0010 (0.0335) time: 2.5279 data: 0.0025 max mem: 31654 Epoch: [2] [3960/5278] eta: 0:55:13 lr: 4.689480035891997e-05 loss: 0.1503 (0.1753) loss_seg: 0.1667 (0.1895) loss_lansim: 0.0983 (0.1062) loss_contra: 0.0010 (0.0335) time: 2.5233 data: 0.0025 max mem: 31654 Epoch: [2] [3970/5278] eta: 0:54:48 lr: 4.689265362526578e-05 loss: 0.1542 (0.1753) loss_seg: 0.1668 (0.1896) loss_lansim: 0.0995 (0.1062) loss_contra: 0.0010 (0.0335) time: 2.5154 data: 0.0025 max mem: 31654 Epoch: [2] [3980/5278] eta: 0:54:24 lr: 4.6890506880691886e-05 loss: 0.1581 (0.1754) loss_seg: 0.1685 (0.1897) loss_lansim: 0.0983 (0.1062) loss_contra: 0.0010 (0.0335) time: 2.5312 data: 0.0025 max mem: 31654 Epoch: [2] [3990/5278] eta: 0:53:58 lr: 4.6888360125197664e-05 loss: 0.1653 (0.1754) loss_seg: 0.1685 (0.1897) loss_lansim: 0.0994 (0.1062) loss_contra: 0.0014 (0.0335) time: 2.5279 data: 0.0025 max mem: 31654 Epoch: [2] [4000/5278] eta: 0:53:33 lr: 4.6886213358782496e-05 loss: 0.1667 (0.1754) loss_seg: 0.1757 (0.1897) loss_lansim: 0.1013 (0.1062) loss_contra: 0.0015 (0.0334) time: 2.5349 data: 0.0025 max mem: 31654 Epoch: [2] [4010/5278] eta: 0:53:08 lr: 4.688406658144579e-05 loss: 0.1620 (0.1754) loss_seg: 0.1711 (0.1896) loss_lansim: 0.1013 (0.1062) loss_contra: 0.0014 (0.0333) time: 2.5331 data: 0.0025 max mem: 31654 Epoch: [2] [4020/5278] eta: 0:52:43 lr: 4.688191979318692e-05 loss: 0.1615 (0.1754) loss_seg: 0.1711 (0.1896) loss_lansim: 0.1027 (0.1062) loss_contra: 0.0013 (0.0333) time: 2.5343 data: 0.0025 max mem: 31654 Epoch: [2] [4030/5278] eta: 0:52:18 lr: 4.6879772994005295e-05 loss: 0.1620 (0.1753) loss_seg: 0.1685 (0.1896) loss_lansim: 0.1009 (0.1062) loss_contra: 0.0014 (0.0333) time: 2.5301 data: 0.0025 max mem: 31654 Epoch: [2] [4040/5278] eta: 0:51:53 lr: 4.687762618390028e-05 loss: 0.1641 (0.1752) loss_seg: 0.1757 (0.1895) loss_lansim: 0.1036 (0.1062) loss_contra: 0.0014 (0.0332) time: 2.5327 data: 0.0025 max mem: 31654 Epoch: [2] [4050/5278] eta: 0:51:28 lr: 4.687547936287128e-05 loss: 0.1581 (0.1752) loss_seg: 0.1662 (0.1894) loss_lansim: 0.1036 (0.1062) loss_contra: 0.0015 (0.0331) time: 2.5354 data: 0.0025 max mem: 31654 Epoch: [2] [4060/5278] eta: 0:51:03 lr: 4.6873332530917674e-05 loss: 0.1620 (0.1752) loss_seg: 0.1757 (0.1894) loss_lansim: 0.1044 (0.1062) loss_contra: 0.0014 (0.0331) time: 2.5381 data: 0.0025 max mem: 31654 Epoch: [2] [4070/5278] eta: 0:50:38 lr: 4.687118568803886e-05 loss: 0.1620 (0.1752) loss_seg: 0.1773 (0.1895) loss_lansim: 0.1044 (0.1062) loss_contra: 0.0013 (0.0330) time: 2.5464 data: 0.0025 max mem: 31654 Epoch: [2] [4080/5278] eta: 0:50:13 lr: 4.6869038834234203e-05 loss: 0.1615 (0.1752) loss_seg: 0.1678 (0.1894) loss_lansim: 0.1045 (0.1062) loss_contra: 0.0010 (0.0330) time: 2.5398 data: 0.0025 max mem: 31654 Epoch: [2] [4090/5278] eta: 0:49:48 lr: 4.6866891969503116e-05 loss: 0.1583 (0.1751) loss_seg: 0.1650 (0.1893) loss_lansim: 0.1061 (0.1063) loss_contra: 0.0008 (0.0329) time: 2.5387 data: 0.0025 max mem: 31654 Epoch: [2] [4100/5278] eta: 0:49:23 lr: 4.686474509384498e-05 loss: 0.1506 (0.1751) loss_seg: 0.1596 (0.1893) loss_lansim: 0.1061 (0.1063) loss_contra: 0.0008 (0.0329) time: 2.5377 data: 0.0025 max mem: 31654 Epoch: [2] [4110/5278] eta: 0:48:57 lr: 4.686259820725919e-05 loss: 0.1537 (0.1751) loss_seg: 0.1650 (0.1893) loss_lansim: 0.1087 (0.1063) loss_contra: 0.0006 (0.0328) time: 2.5320 data: 0.0025 max mem: 31654 Epoch: [2] [4120/5278] eta: 0:48:32 lr: 4.686045130974512e-05 loss: 0.1515 (0.1750) loss_seg: 0.1611 (0.1892) loss_lansim: 0.1087 (0.1063) loss_contra: 0.0008 (0.0328) time: 2.5314 data: 0.0025 max mem: 31654 Epoch: [2] [4130/5278] eta: 0:48:07 lr: 4.685830440130217e-05 loss: 0.1466 (0.1749) loss_seg: 0.1563 (0.1891) loss_lansim: 0.1113 (0.1063) loss_contra: 0.0010 (0.0328) time: 2.5347 data: 0.0025 max mem: 31654 Epoch: [2] [4140/5278] eta: 0:47:42 lr: 4.685615748192971e-05 loss: 0.1476 (0.1748) loss_seg: 0.1578 (0.1890) loss_lansim: 0.1087 (0.1063) loss_contra: 0.0009 (0.0327) time: 2.5310 data: 0.0025 max mem: 31654 Epoch: [2] [4150/5278] eta: 0:47:17 lr: 4.685401055162716e-05 loss: 0.1476 (0.1748) loss_seg: 0.1594 (0.1889) loss_lansim: 0.1111 (0.1063) loss_contra: 0.0009 (0.0327) time: 2.5314 data: 0.0025 max mem: 31654 Epoch: [2] [4160/5278] eta: 0:46:52 lr: 4.685186361039387e-05 loss: 0.1406 (0.1747) loss_seg: 0.1560 (0.1889) loss_lansim: 0.1111 (0.1063) loss_contra: 0.0010 (0.0327) time: 2.5375 data: 0.0025 max mem: 31654 Epoch: [2] [4170/5278] eta: 0:46:27 lr: 4.684971665822926e-05 loss: 0.1362 (0.1746) loss_seg: 0.1492 (0.1888) loss_lansim: 0.1111 (0.1063) loss_contra: 0.0009 (0.0327) time: 2.5317 data: 0.0025 max mem: 31654 Epoch: [2] [4180/5278] eta: 0:46:02 lr: 4.684756969513269e-05 loss: 0.1344 (0.1746) loss_seg: 0.1435 (0.1887) loss_lansim: 0.1114 (0.1064) loss_contra: 0.0009 (0.0326) time: 2.5275 data: 0.0025 max mem: 31654 Epoch: [2] [4190/5278] eta: 0:45:37 lr: 4.6845422721103574e-05 loss: 0.1362 (0.1746) loss_seg: 0.1435 (0.1888) loss_lansim: 0.1078 (0.1064) loss_contra: 0.0009 (0.0326) time: 2.5391 data: 0.0025 max mem: 31654 Epoch: [2] [4200/5278] eta: 0:45:12 lr: 4.684327573614129e-05 loss: 0.1402 (0.1746) loss_seg: 0.1504 (0.1887) loss_lansim: 0.1093 (0.1064) loss_contra: 0.0009 (0.0325) time: 2.5359 data: 0.0025 max mem: 31654 Epoch: [2] [4210/5278] eta: 0:44:46 lr: 4.684112874024522e-05 loss: 0.1376 (0.1745) loss_seg: 0.1456 (0.1887) loss_lansim: 0.1092 (0.1065) loss_contra: 0.0009 (0.0324) time: 2.5408 data: 0.0025 max mem: 31654 Epoch: [2] [4220/5278] eta: 0:44:21 lr: 4.6838981733414744e-05 loss: 0.1362 (0.1744) loss_seg: 0.1442 (0.1885) loss_lansim: 0.1105 (0.1065) loss_contra: 0.0008 (0.0326) time: 2.5372 data: 0.0025 max mem: 31654 Epoch: [2] [4230/5278] eta: 0:43:56 lr: 4.683683471564927e-05 loss: 0.1440 (0.1744) loss_seg: 0.1532 (0.1885) loss_lansim: 0.1105 (0.1065) loss_contra: 0.0007 (0.0325) time: 2.5290 data: 0.0025 max mem: 31654 Epoch: [2] [4240/5278] eta: 0:43:31 lr: 4.683468768694818e-05 loss: 0.1440 (0.1743) loss_seg: 0.1550 (0.1885) loss_lansim: 0.1105 (0.1065) loss_contra: 0.0008 (0.0325) time: 2.5405 data: 0.0025 max mem: 31654 Epoch: [2] [4250/5278] eta: 0:43:06 lr: 4.6832540647310844e-05 loss: 0.1482 (0.1743) loss_seg: 0.1572 (0.1884) loss_lansim: 0.1117 (0.1065) loss_contra: 0.0007 (0.0324) time: 2.5332 data: 0.0025 max mem: 31654 Epoch: [2] [4260/5278] eta: 0:42:41 lr: 4.683039359673667e-05 loss: 0.1472 (0.1742) loss_seg: 0.1563 (0.1883) loss_lansim: 0.1122 (0.1066) loss_contra: 0.0007 (0.0323) time: 2.5307 data: 0.0024 max mem: 31654 Epoch: [2] [4270/5278] eta: 0:42:15 lr: 4.682824653522503e-05 loss: 0.1516 (0.1745) loss_seg: 0.1655 (0.1886) loss_lansim: 0.1106 (0.1066) loss_contra: 0.0007 (0.0323) time: 2.5239 data: 0.0024 max mem: 31654 Epoch: [2] [4280/5278] eta: 0:41:50 lr: 4.6826099462775325e-05 loss: 0.1524 (0.1745) loss_seg: 0.1663 (0.1886) loss_lansim: 0.1105 (0.1066) loss_contra: 0.0009 (0.0323) time: 2.5239 data: 0.0024 max mem: 31654 Epoch: [2] [4290/5278] eta: 0:41:25 lr: 4.6823952379386924e-05 loss: 0.1524 (0.1745) loss_seg: 0.1663 (0.1886) loss_lansim: 0.1125 (0.1066) loss_contra: 0.0009 (0.0322) time: 2.5215 data: 0.0024 max mem: 31654 Epoch: [2] [4300/5278] eta: 0:41:00 lr: 4.6821805285059235e-05 loss: 0.1498 (0.1744) loss_seg: 0.1592 (0.1885) loss_lansim: 0.1104 (0.1066) loss_contra: 0.0013 (0.0323) time: 2.5227 data: 0.0025 max mem: 31654 Epoch: [2] [4310/5278] eta: 0:40:35 lr: 4.6819658179791634e-05 loss: 0.1482 (0.1744) loss_seg: 0.1590 (0.1885) loss_lansim: 0.1101 (0.1066) loss_contra: 0.0018 (0.0322) time: 2.5161 data: 0.0025 max mem: 31654 Epoch: [2] [4320/5278] eta: 0:40:10 lr: 4.681751106358351e-05 loss: 0.1516 (0.1744) loss_seg: 0.1681 (0.1885) loss_lansim: 0.1086 (0.1066) loss_contra: 0.0021 (0.0322) time: 2.5224 data: 0.0025 max mem: 31654 Epoch: [2] [4330/5278] eta: 0:39:44 lr: 4.6815363936434244e-05 loss: 0.1516 (0.1745) loss_seg: 0.1681 (0.1886) loss_lansim: 0.1106 (0.1067) loss_contra: 0.0023 (0.0323) time: 2.5185 data: 0.0025 max mem: 31654 Epoch: [2] [4340/5278] eta: 0:39:19 lr: 4.681321679834322e-05 loss: 0.1641 (0.1746) loss_seg: 0.1713 (0.1887) loss_lansim: 0.1106 (0.1067) loss_contra: 0.0028 (0.0324) time: 2.4984 data: 0.0025 max mem: 31654 Epoch: [2] [4350/5278] eta: 0:38:54 lr: 4.681106964930985e-05 loss: 0.1631 (0.1746) loss_seg: 0.1691 (0.1887) loss_lansim: 0.1084 (0.1067) loss_contra: 0.0029 (0.0323) time: 2.5064 data: 0.0025 max mem: 31654 Epoch: [2] [4360/5278] eta: 0:38:29 lr: 4.680892248933349e-05 loss: 0.1644 (0.1745) loss_seg: 0.1744 (0.1886) loss_lansim: 0.1067 (0.1067) loss_contra: 0.0035 (0.0324) time: 2.5032 data: 0.0025 max mem: 31654 Epoch: [2] [4370/5278] eta: 0:38:04 lr: 4.6806775318413534e-05 loss: 0.1576 (0.1745) loss_seg: 0.1691 (0.1886) loss_lansim: 0.1054 (0.1067) loss_contra: 0.0035 (0.0323) time: 2.5092 data: 0.0025 max mem: 31654 Epoch: [2] [4380/5278] eta: 0:37:38 lr: 4.680462813654938e-05 loss: 0.1576 (0.1745) loss_seg: 0.1665 (0.1886) loss_lansim: 0.1050 (0.1067) loss_contra: 0.0030 (0.0323) time: 2.5039 data: 0.0025 max mem: 31654 Epoch: [2] [4390/5278] eta: 0:37:13 lr: 4.680248094374041e-05 loss: 0.1564 (0.1746) loss_seg: 0.1632 (0.1887) loss_lansim: 0.1033 (0.1066) loss_contra: 0.0029 (0.0323) time: 2.4974 data: 0.0025 max mem: 31654 Epoch: [2] [4400/5278] eta: 0:36:48 lr: 4.6800333739986004e-05 loss: 0.1601 (0.1746) loss_seg: 0.1691 (0.1888) loss_lansim: 0.1029 (0.1066) loss_contra: 0.0029 (0.0323) time: 2.4846 data: 0.0025 max mem: 31654 Epoch: [2] [4410/5278] eta: 0:36:23 lr: 4.679818652528556e-05 loss: 0.1631 (0.1747) loss_seg: 0.1743 (0.1889) loss_lansim: 0.1018 (0.1066) loss_contra: 0.0019 (0.0322) time: 2.4900 data: 0.0024 max mem: 31654 Epoch: [2] [4420/5278] eta: 0:35:58 lr: 4.6796039299638444e-05 loss: 0.1714 (0.1748) loss_seg: 0.1772 (0.1889) loss_lansim: 0.1007 (0.1066) loss_contra: 0.0013 (0.0321) time: 2.4866 data: 0.0025 max mem: 31654 Epoch: [2] [4430/5278] eta: 0:35:32 lr: 4.6793892063044057e-05 loss: 0.1684 (0.1748) loss_seg: 0.1772 (0.1889) loss_lansim: 0.1003 (0.1066) loss_contra: 0.0013 (0.0322) time: 2.4972 data: 0.0025 max mem: 31654 Epoch: [2] [4440/5278] eta: 0:35:07 lr: 4.6791744815501795e-05 loss: 0.1633 (0.1749) loss_seg: 0.1743 (0.1890) loss_lansim: 0.0976 (0.1066) loss_contra: 0.0010 (0.0321) time: 2.5091 data: 0.0025 max mem: 31654 Epoch: [2] [4450/5278] eta: 0:34:42 lr: 4.6789597557011016e-05 loss: 0.1684 (0.1749) loss_seg: 0.1788 (0.1890) loss_lansim: 0.0983 (0.1066) loss_contra: 0.0013 (0.0321) time: 2.5055 data: 0.0025 max mem: 31654 Epoch: [2] [4460/5278] eta: 0:34:17 lr: 4.678745028757112e-05 loss: 0.1732 (0.1749) loss_seg: 0.1915 (0.1890) loss_lansim: 0.0986 (0.1066) loss_contra: 0.0010 (0.0321) time: 2.5027 data: 0.0025 max mem: 31654 Epoch: [2] [4470/5278] eta: 0:33:52 lr: 4.67853030071815e-05 loss: 0.1732 (0.1748) loss_seg: 0.1915 (0.1890) loss_lansim: 0.0983 (0.1066) loss_contra: 0.0010 (0.0321) time: 2.5087 data: 0.0025 max mem: 31654 Epoch: [2] [4480/5278] eta: 0:33:27 lr: 4.678315571584154e-05 loss: 0.1764 (0.1749) loss_seg: 0.1923 (0.1890) loss_lansim: 0.0966 (0.1066) loss_contra: 0.0010 (0.0321) time: 2.5162 data: 0.0025 max mem: 31654 Epoch: [2] [4490/5278] eta: 0:33:02 lr: 4.678100841355062e-05 loss: 0.1764 (0.1748) loss_seg: 0.1915 (0.1890) loss_lansim: 0.0990 (0.1066) loss_contra: 0.0010 (0.0320) time: 2.5202 data: 0.0025 max mem: 31654 Epoch: [2] [4500/5278] eta: 0:32:37 lr: 4.677886110030812e-05 loss: 0.1785 (0.1750) loss_seg: 0.1954 (0.1892) loss_lansim: 0.1007 (0.1066) loss_contra: 0.0008 (0.0322) time: 2.5327 data: 0.0025 max mem: 31654 Epoch: [2] [4510/5278] eta: 0:32:12 lr: 4.677671377611344e-05 loss: 0.1785 (0.1751) loss_seg: 0.1954 (0.1893) loss_lansim: 0.0980 (0.1065) loss_contra: 0.0010 (0.0321) time: 2.5376 data: 0.0025 max mem: 31654 Epoch: [2] [4520/5278] eta: 0:31:46 lr: 4.6774566440965953e-05 loss: 0.1785 (0.1752) loss_seg: 0.1954 (0.1894) loss_lansim: 0.0970 (0.1065) loss_contra: 0.0007 (0.0321) time: 2.5400 data: 0.0025 max mem: 31654 Epoch: [2] [4530/5278] eta: 0:31:21 lr: 4.677241909486505e-05 loss: 0.1774 (0.1752) loss_seg: 0.1961 (0.1894) loss_lansim: 0.0948 (0.1065) loss_contra: 0.0007 (0.0320) time: 2.5453 data: 0.0024 max mem: 31654 Epoch: [2] [4540/5278] eta: 0:30:56 lr: 4.677027173781012e-05 loss: 0.1759 (0.1752) loss_seg: 0.1905 (0.1894) loss_lansim: 0.0963 (0.1065) loss_contra: 0.0007 (0.0320) time: 2.5469 data: 0.0024 max mem: 31654 Epoch: [2] [4550/5278] eta: 0:30:31 lr: 4.6768124369800534e-05 loss: 0.1767 (0.1753) loss_seg: 0.1954 (0.1895) loss_lansim: 0.0970 (0.1065) loss_contra: 0.0007 (0.0320) time: 2.5411 data: 0.0024 max mem: 31654 Epoch: [2] [4560/5278] eta: 0:30:06 lr: 4.67659769908357e-05 loss: 0.1759 (0.1753) loss_seg: 0.1946 (0.1895) loss_lansim: 0.0963 (0.1064) loss_contra: 0.0007 (0.0320) time: 2.5513 data: 0.0025 max mem: 31654 Epoch: [2] [4570/5278] eta: 0:29:41 lr: 4.676382960091499e-05 loss: 0.1798 (0.1753) loss_seg: 0.1961 (0.1896) loss_lansim: 0.0970 (0.1064) loss_contra: 0.0007 (0.0321) time: 2.5466 data: 0.0025 max mem: 31654 Epoch: [2] [4580/5278] eta: 0:29:16 lr: 4.676168220003778e-05 loss: 0.1799 (0.1754) loss_seg: 0.1959 (0.1897) loss_lansim: 0.0977 (0.1064) loss_contra: 0.0009 (0.0320) time: 2.5509 data: 0.0025 max mem: 31654 Epoch: [2] [4590/5278] eta: 0:28:51 lr: 4.675953478820347e-05 loss: 0.1798 (0.1754) loss_seg: 0.1959 (0.1896) loss_lansim: 0.0970 (0.1064) loss_contra: 0.0009 (0.0320) time: 2.5525 data: 0.0025 max mem: 31654 Epoch: [2] [4600/5278] eta: 0:28:26 lr: 4.6757387365411435e-05 loss: 0.1759 (0.1754) loss_seg: 0.1957 (0.1896) loss_lansim: 0.0977 (0.1064) loss_contra: 0.0015 (0.0321) time: 2.5538 data: 0.0025 max mem: 31654 Epoch: [2] [4610/5278] eta: 0:28:00 lr: 4.6755239931661075e-05 loss: 0.1750 (0.1753) loss_seg: 0.1944 (0.1896) loss_lansim: 0.0984 (0.1064) loss_contra: 0.0015 (0.0321) time: 2.5456 data: 0.0025 max mem: 31654 Epoch: [2] [4620/5278] eta: 0:27:35 lr: 4.675309248695176e-05 loss: 0.1747 (0.1753) loss_seg: 0.1920 (0.1896) loss_lansim: 0.1000 (0.1064) loss_contra: 0.0018 (0.0321) time: 2.5496 data: 0.0025 max mem: 31654 Epoch: [2] [4630/5278] eta: 0:27:10 lr: 4.6750945031282875e-05 loss: 0.1602 (0.1752) loss_seg: 0.1785 (0.1895) loss_lansim: 0.1001 (0.1064) loss_contra: 0.0016 (0.0322) time: 2.5347 data: 0.0025 max mem: 31654 Epoch: [2] [4640/5278] eta: 0:26:45 lr: 4.674879756465381e-05 loss: 0.1579 (0.1752) loss_seg: 0.1748 (0.1894) loss_lansim: 0.1000 (0.1064) loss_contra: 0.0025 (0.0323) time: 2.5353 data: 0.0024 max mem: 31654 Epoch: [2] [4650/5278] eta: 0:26:20 lr: 4.6746650087063956e-05 loss: 0.1522 (0.1752) loss_seg: 0.1649 (0.1894) loss_lansim: 0.0993 (0.1064) loss_contra: 0.0025 (0.0323) time: 2.5322 data: 0.0024 max mem: 31654 Epoch: [2] [4660/5278] eta: 0:25:55 lr: 4.6744502598512686e-05 loss: 0.1481 (0.1752) loss_seg: 0.1638 (0.1895) loss_lansim: 0.1001 (0.1064) loss_contra: 0.0036 (0.0324) time: 2.5247 data: 0.0024 max mem: 31654 Epoch: [2] [4670/5278] eta: 0:25:29 lr: 4.6742355098999387e-05 loss: 0.1488 (0.1752) loss_seg: 0.1644 (0.1895) loss_lansim: 0.1001 (0.1064) loss_contra: 0.0028 (0.0323) time: 2.5266 data: 0.0024 max mem: 31654 Epoch: [2] [4680/5278] eta: 0:25:04 lr: 4.674020758852344e-05 loss: 0.1481 (0.1752) loss_seg: 0.1638 (0.1894) loss_lansim: 0.1005 (0.1064) loss_contra: 0.0025 (0.0323) time: 2.5187 data: 0.0024 max mem: 31654 Epoch: [2] [4690/5278] eta: 0:24:39 lr: 4.673806006708425e-05 loss: 0.1522 (0.1751) loss_seg: 0.1655 (0.1894) loss_lansim: 0.1003 (0.1063) loss_contra: 0.0021 (0.0324) time: 2.5138 data: 0.0024 max mem: 31654 Epoch: [2] [4700/5278] eta: 0:24:14 lr: 4.673591253468117e-05 loss: 0.1488 (0.1752) loss_seg: 0.1644 (0.1894) loss_lansim: 0.1003 (0.1063) loss_contra: 0.0021 (0.0323) time: 2.5133 data: 0.0024 max mem: 31654 Epoch: [2] [4710/5278] eta: 0:23:49 lr: 4.67337649913136e-05 loss: 0.1509 (0.1752) loss_seg: 0.1644 (0.1894) loss_lansim: 0.0989 (0.1063) loss_contra: 0.0018 (0.0323) time: 2.5125 data: 0.0024 max mem: 31654 Epoch: [2] [4720/5278] eta: 0:23:24 lr: 4.6731617436980935e-05 loss: 0.1488 (0.1751) loss_seg: 0.1644 (0.1894) loss_lansim: 0.0989 (0.1063) loss_contra: 0.0021 (0.0323) time: 2.5024 data: 0.0024 max mem: 31654 Epoch: [2] [4730/5278] eta: 0:22:58 lr: 4.6729469871682543e-05 loss: 0.1575 (0.1752) loss_seg: 0.1703 (0.1895) loss_lansim: 0.0995 (0.1063) loss_contra: 0.0021 (0.0322) time: 2.5051 data: 0.0025 max mem: 31654 Epoch: [2] [4740/5278] eta: 0:22:33 lr: 4.672732229541781e-05 loss: 0.1575 (0.1752) loss_seg: 0.1703 (0.1895) loss_lansim: 0.1005 (0.1063) loss_contra: 0.0021 (0.0322) time: 2.5045 data: 0.0025 max mem: 31654 Epoch: [2] [4750/5278] eta: 0:22:08 lr: 4.6725174708186134e-05 loss: 0.1509 (0.1751) loss_seg: 0.1644 (0.1894) loss_lansim: 0.0995 (0.1063) loss_contra: 0.0016 (0.0322) time: 2.5067 data: 0.0025 max mem: 31654 Epoch: [2] [4760/5278] eta: 0:21:43 lr: 4.6723027109986876e-05 loss: 0.1509 (0.1751) loss_seg: 0.1636 (0.1894) loss_lansim: 0.0995 (0.1063) loss_contra: 0.0011 (0.0321) time: 2.5033 data: 0.0025 max mem: 31654 Epoch: [2] [4770/5278] eta: 0:21:18 lr: 4.672087950081944e-05 loss: 0.1496 (0.1751) loss_seg: 0.1630 (0.1894) loss_lansim: 0.0995 (0.1062) loss_contra: 0.0016 (0.0321) time: 2.5035 data: 0.0025 max mem: 31654 Epoch: [2] [4780/5278] eta: 0:20:53 lr: 4.67187318806832e-05 loss: 0.1496 (0.1752) loss_seg: 0.1630 (0.1894) loss_lansim: 0.0989 (0.1063) loss_contra: 0.0010 (0.0320) time: 2.5044 data: 0.0025 max mem: 31654 Epoch: [2] [4790/5278] eta: 0:20:27 lr: 4.671658424957754e-05 loss: 0.1542 (0.1752) loss_seg: 0.1636 (0.1894) loss_lansim: 0.0995 (0.1062) loss_contra: 0.0010 (0.0321) time: 2.4983 data: 0.0025 max mem: 31654 Epoch: [2] [4800/5278] eta: 0:20:02 lr: 4.671443660750185e-05 loss: 0.1508 (0.1752) loss_seg: 0.1636 (0.1894) loss_lansim: 0.0988 (0.1062) loss_contra: 0.0015 (0.0320) time: 2.5030 data: 0.0025 max mem: 31654 Epoch: [2] [4810/5278] eta: 0:19:37 lr: 4.6712288954455506e-05 loss: 0.1508 (0.1752) loss_seg: 0.1663 (0.1894) loss_lansim: 0.0995 (0.1062) loss_contra: 0.0012 (0.0320) time: 2.5004 data: 0.0024 max mem: 31654 Epoch: [2] [4820/5278] eta: 0:19:12 lr: 4.67101412904379e-05 loss: 0.1565 (0.1752) loss_seg: 0.1729 (0.1894) loss_lansim: 0.0994 (0.1062) loss_contra: 0.0011 (0.0319) time: 2.5035 data: 0.0024 max mem: 31654 Epoch: [2] [4830/5278] eta: 0:18:47 lr: 4.67079936154484e-05 loss: 0.1508 (0.1751) loss_seg: 0.1676 (0.1894) loss_lansim: 0.0995 (0.1062) loss_contra: 0.0011 (0.0319) time: 2.5073 data: 0.0025 max mem: 31654 Epoch: [2] [4840/5278] eta: 0:18:21 lr: 4.67058459294864e-05 loss: 0.1552 (0.1751) loss_seg: 0.1676 (0.1893) loss_lansim: 0.0980 (0.1062) loss_contra: 0.0011 (0.0320) time: 2.5039 data: 0.0025 max mem: 31654 Epoch: [2] [4850/5278] eta: 0:17:56 lr: 4.6703698232551296e-05 loss: 0.1591 (0.1751) loss_seg: 0.1717 (0.1893) loss_lansim: 0.0985 (0.1062) loss_contra: 0.0009 (0.0320) time: 2.5146 data: 0.0025 max mem: 31654 Epoch: [2] [4860/5278] eta: 0:17:31 lr: 4.6701550524642446e-05 loss: 0.1607 (0.1751) loss_seg: 0.1731 (0.1893) loss_lansim: 0.0985 (0.1062) loss_contra: 0.0009 (0.0319) time: 2.5206 data: 0.0025 max mem: 31654 Epoch: [2] [4870/5278] eta: 0:17:06 lr: 4.669940280575925e-05 loss: 0.1595 (0.1751) loss_seg: 0.1731 (0.1893) loss_lansim: 0.0985 (0.1062) loss_contra: 0.0013 (0.0319) time: 2.5153 data: 0.0025 max mem: 31654 Epoch: [2] [4880/5278] eta: 0:16:41 lr: 4.669725507590107e-05 loss: 0.1595 (0.1751) loss_seg: 0.1731 (0.1893) loss_lansim: 0.0985 (0.1061) loss_contra: 0.0014 (0.0319) time: 2.5116 data: 0.0025 max mem: 31654 Epoch: [2] [4890/5278] eta: 0:16:16 lr: 4.669510733506732e-05 loss: 0.1607 (0.1752) loss_seg: 0.1729 (0.1895) loss_lansim: 0.0985 (0.1061) loss_contra: 0.0014 (0.0319) time: 2.5190 data: 0.0025 max mem: 31654 Epoch: [2] [4900/5278] eta: 0:15:51 lr: 4.6692959583257377e-05 loss: 0.1619 (0.1752) loss_seg: 0.1761 (0.1894) loss_lansim: 0.1003 (0.1062) loss_contra: 0.0014 (0.0319) time: 2.5113 data: 0.0025 max mem: 31654 Epoch: [2] [4910/5278] eta: 0:15:25 lr: 4.6690811820470604e-05 loss: 0.1619 (0.1752) loss_seg: 0.1761 (0.1894) loss_lansim: 0.1002 (0.1062) loss_contra: 0.0014 (0.0319) time: 2.5147 data: 0.0026 max mem: 31654 Epoch: [2] [4920/5278] eta: 0:15:00 lr: 4.6688664046706393e-05 loss: 0.1607 (0.1752) loss_seg: 0.1711 (0.1894) loss_lansim: 0.1016 (0.1062) loss_contra: 0.0017 (0.0319) time: 2.5190 data: 0.0026 max mem: 31654 Epoch: [2] [4930/5278] eta: 0:14:35 lr: 4.668651626196413e-05 loss: 0.1619 (0.1752) loss_seg: 0.1773 (0.1894) loss_lansim: 0.1022 (0.1062) loss_contra: 0.0020 (0.0319) time: 2.5101 data: 0.0026 max mem: 31654 Epoch: [2] [4940/5278] eta: 0:14:10 lr: 4.66843684662432e-05 loss: 0.1612 (0.1752) loss_seg: 0.1750 (0.1894) loss_lansim: 0.1042 (0.1062) loss_contra: 0.0020 (0.0318) time: 2.5132 data: 0.0025 max mem: 31654 Epoch: [2] [4950/5278] eta: 0:13:45 lr: 4.6682220659542983e-05 loss: 0.1618 (0.1753) loss_seg: 0.1771 (0.1895) loss_lansim: 0.1044 (0.1063) loss_contra: 0.0020 (0.0318) time: 2.5061 data: 0.0025 max mem: 31654 Epoch: [2] [4960/5278] eta: 0:13:20 lr: 4.668007284186286e-05 loss: 0.1618 (0.1753) loss_seg: 0.1750 (0.1895) loss_lansim: 0.1051 (0.1062) loss_contra: 0.0021 (0.0318) time: 2.5004 data: 0.0025 max mem: 31654 Epoch: [2] [4970/5278] eta: 0:12:54 lr: 4.667792501320221e-05 loss: 0.1568 (0.1752) loss_seg: 0.1720 (0.1894) loss_lansim: 0.1042 (0.1062) loss_contra: 0.0022 (0.0318) time: 2.4984 data: 0.0025 max mem: 31654 Epoch: [2] [4980/5278] eta: 0:12:29 lr: 4.6675777173560434e-05 loss: 0.1565 (0.1752) loss_seg: 0.1699 (0.1893) loss_lansim: 0.1064 (0.1062) loss_contra: 0.0020 (0.0318) time: 2.5052 data: 0.0025 max mem: 31654 Epoch: [2] [4990/5278] eta: 0:12:04 lr: 4.667362932293689e-05 loss: 0.1568 (0.1751) loss_seg: 0.1694 (0.1893) loss_lansim: 0.1073 (0.1062) loss_contra: 0.0020 (0.0320) time: 2.4934 data: 0.0025 max mem: 31654 Epoch: [2] [5000/5278] eta: 0:11:39 lr: 4.667148146133096e-05 loss: 0.1547 (0.1751) loss_seg: 0.1678 (0.1892) loss_lansim: 0.1026 (0.1062) loss_contra: 0.0022 (0.0320) time: 2.5063 data: 0.0024 max mem: 31654 Epoch: [2] [5010/5278] eta: 0:11:14 lr: 4.666933358874205e-05 loss: 0.1547 (0.1751) loss_seg: 0.1678 (0.1893) loss_lansim: 0.1064 (0.1062) loss_contra: 0.0021 (0.0321) time: 2.5016 data: 0.0024 max mem: 31654 Epoch: [2] [5020/5278] eta: 0:10:49 lr: 4.6667185705169516e-05 loss: 0.1545 (0.1750) loss_seg: 0.1667 (0.1892) loss_lansim: 0.1036 (0.1062) loss_contra: 0.0025 (0.0321) time: 2.4949 data: 0.0024 max mem: 31654 Epoch: [2] [5030/5278] eta: 0:10:23 lr: 4.666503781061277e-05 loss: 0.1500 (0.1750) loss_seg: 0.1571 (0.1892) loss_lansim: 0.1019 (0.1062) loss_contra: 0.0021 (0.0321) time: 2.5005 data: 0.0024 max mem: 31654 Epoch: [2] [5040/5278] eta: 0:09:58 lr: 4.666288990507117e-05 loss: 0.1497 (0.1751) loss_seg: 0.1560 (0.1892) loss_lansim: 0.1026 (0.1062) loss_contra: 0.0040 (0.0322) time: 2.4987 data: 0.0024 max mem: 31654 Epoch: [2] [5050/5278] eta: 0:09:33 lr: 4.66607419885441e-05 loss: 0.1465 (0.1751) loss_seg: 0.1553 (0.1892) loss_lansim: 0.1019 (0.1062) loss_contra: 0.0050 (0.0326) time: 2.4963 data: 0.0024 max mem: 31654 Epoch: [2] [5060/5278] eta: 0:09:08 lr: 4.6658594061030964e-05 loss: 0.1454 (0.1750) loss_seg: 0.1552 (0.1892) loss_lansim: 0.1026 (0.1062) loss_contra: 0.0034 (0.0325) time: 2.4967 data: 0.0024 max mem: 31654 Epoch: [2] [5070/5278] eta: 0:08:43 lr: 4.665644612253111e-05 loss: 0.1454 (0.1750) loss_seg: 0.1553 (0.1892) loss_lansim: 0.1036 (0.1062) loss_contra: 0.0027 (0.0325) time: 2.5001 data: 0.0024 max mem: 31654 Epoch: [2] [5080/5278] eta: 0:08:18 lr: 4.6654298173043945e-05 loss: 0.1497 (0.1750) loss_seg: 0.1571 (0.1892) loss_lansim: 0.1074 (0.1063) loss_contra: 0.0047 (0.0325) time: 2.4965 data: 0.0024 max mem: 31654 Epoch: [2] [5090/5278] eta: 0:07:52 lr: 4.665215021256884e-05 loss: 0.1443 (0.1750) loss_seg: 0.1571 (0.1892) loss_lansim: 0.1045 (0.1063) loss_contra: 0.0039 (0.0324) time: 2.5081 data: 0.0024 max mem: 31654 Epoch: [2] [5100/5278] eta: 0:07:27 lr: 4.665000224110517e-05 loss: 0.1465 (0.1750) loss_seg: 0.1606 (0.1891) loss_lansim: 0.1064 (0.1062) loss_contra: 0.0027 (0.0325) time: 2.4924 data: 0.0024 max mem: 31654 Epoch: [2] [5110/5278] eta: 0:07:02 lr: 4.664785425865234e-05 loss: 0.1479 (0.1751) loss_seg: 0.1618 (0.1893) loss_lansim: 0.1036 (0.1062) loss_contra: 0.0027 (0.0324) time: 2.4969 data: 0.0024 max mem: 31654 Epoch: [2] [5120/5278] eta: 0:06:37 lr: 4.664570626520971e-05 loss: 0.1561 (0.1751) loss_seg: 0.1640 (0.1892) loss_lansim: 0.1045 (0.1062) loss_contra: 0.0025 (0.0324) time: 2.5048 data: 0.0024 max mem: 31654 Epoch: [2] [5130/5278] eta: 0:06:12 lr: 4.664355826077667e-05 loss: 0.1565 (0.1750) loss_seg: 0.1687 (0.1892) loss_lansim: 0.1045 (0.1062) loss_contra: 0.0027 (0.0324) time: 2.5036 data: 0.0024 max mem: 31654 Epoch: [2] [5140/5278] eta: 0:05:47 lr: 4.6641410245352605e-05 loss: 0.1565 (0.1751) loss_seg: 0.1705 (0.1892) loss_lansim: 0.1036 (0.1062) loss_contra: 0.0017 (0.0323) time: 2.5062 data: 0.0024 max mem: 31654 Epoch: [2] [5150/5278] eta: 0:05:21 lr: 4.6639262218936884e-05 loss: 0.1561 (0.1750) loss_seg: 0.1705 (0.1891) loss_lansim: 0.1016 (0.1062) loss_contra: 0.0015 (0.0323) time: 2.5121 data: 0.0025 max mem: 31654 Epoch: [2] [5160/5278] eta: 0:04:56 lr: 4.6637114181528904e-05 loss: 0.1519 (0.1749) loss_seg: 0.1647 (0.1891) loss_lansim: 0.1016 (0.1062) loss_contra: 0.0014 (0.0322) time: 2.5179 data: 0.0025 max mem: 31654 Epoch: [2] [5170/5278] eta: 0:04:31 lr: 4.663496613312803e-05 loss: 0.1565 (0.1750) loss_seg: 0.1735 (0.1891) loss_lansim: 0.1040 (0.1062) loss_contra: 0.0014 (0.0322) time: 2.5162 data: 0.0025 max mem: 31654 Epoch: [2] [5180/5278] eta: 0:04:06 lr: 4.663281807373365e-05 loss: 0.1531 (0.1749) loss_seg: 0.1692 (0.1891) loss_lansim: 0.1034 (0.1062) loss_contra: 0.0014 (0.0322) time: 2.5139 data: 0.0025 max mem: 31654 Epoch: [2] [5190/5278] eta: 0:03:41 lr: 4.6630670003345155e-05 loss: 0.1561 (0.1749) loss_seg: 0.1692 (0.1891) loss_lansim: 0.1019 (0.1062) loss_contra: 0.0013 (0.0321) time: 2.5146 data: 0.0026 max mem: 31654 Epoch: [2] [5200/5278] eta: 0:03:16 lr: 4.6628521921961915e-05 loss: 0.1561 (0.1750) loss_seg: 0.1692 (0.1892) loss_lansim: 0.1030 (0.1062) loss_contra: 0.0013 (0.0321) time: 2.5153 data: 0.0026 max mem: 31654 Epoch: [2] [5210/5278] eta: 0:02:51 lr: 4.662637382958331e-05 loss: 0.1528 (0.1750) loss_seg: 0.1637 (0.1891) loss_lansim: 0.1040 (0.1062) loss_contra: 0.0012 (0.0320) time: 2.5162 data: 0.0026 max mem: 31654 Epoch: [2] [5220/5278] eta: 0:02:25 lr: 4.662422572620872e-05 loss: 0.1526 (0.1749) loss_seg: 0.1637 (0.1891) loss_lansim: 0.1045 (0.1062) loss_contra: 0.0012 (0.0320) time: 2.5146 data: 0.0026 max mem: 31654 Epoch: [2] [5230/5278] eta: 0:02:00 lr: 4.662207761183754e-05 loss: 0.1526 (0.1749) loss_seg: 0.1624 (0.1891) loss_lansim: 0.1040 (0.1062) loss_contra: 0.0011 (0.0319) time: 2.5181 data: 0.0026 max mem: 31654 Epoch: [2] [5240/5278] eta: 0:01:35 lr: 4.661992948646913e-05 loss: 0.1492 (0.1749) loss_seg: 0.1539 (0.1890) loss_lansim: 0.1030 (0.1062) loss_contra: 0.0010 (0.0319) time: 2.5163 data: 0.0026 max mem: 31654 Epoch: [2] [5250/5278] eta: 0:01:10 lr: 4.661778135010289e-05 loss: 0.1544 (0.1749) loss_seg: 0.1665 (0.1891) loss_lansim: 0.1032 (0.1062) loss_contra: 0.0009 (0.0318) time: 2.5206 data: 0.0026 max mem: 31654 Epoch: [2] [5260/5278] eta: 0:00:45 lr: 4.661563320273819e-05 loss: 0.1550 (0.1748) loss_seg: 0.1693 (0.1890) loss_lansim: 0.1037 (0.1062) loss_contra: 0.0009 (0.0318) time: 2.5143 data: 0.0025 max mem: 31654 Epoch: [2] [5270/5278] eta: 0:00:20 lr: 4.661348504437441e-05 loss: 0.1536 (0.1749) loss_seg: 0.1650 (0.1891) loss_lansim: 0.1037 (0.1062) loss_contra: 0.0009 (0.0318) time: 2.5059 data: 0.0025 max mem: 31654 Epoch: [2] Total time: 3:41:16 Test: [ 0/2573] eta: 1:28:47 time: 2.0707 data: 1.8497 max mem: 31654 Test: [ 100/2573] eta: 0:06:40 time: 0.1428 data: 0.0014 max mem: 31654 Test: [ 200/2573] eta: 0:06:07 time: 0.1478 data: 0.0016 max mem: 31654 Test: [ 300/2573] eta: 0:05:42 time: 0.1428 data: 0.0016 max mem: 31654 Test: [ 400/2573] eta: 0:05:24 time: 0.1452 data: 0.0016 max mem: 31654 Test: [ 500/2573] eta: 0:05:08 time: 0.1458 data: 0.0016 max mem: 31654 Test: [ 600/2573] eta: 0:04:52 time: 0.1468 data: 0.0015 max mem: 31654 Test: [ 700/2573] eta: 0:04:38 time: 0.1494 data: 0.0015 max mem: 31654 Test: [ 800/2573] eta: 0:04:22 time: 0.1466 data: 0.0014 max mem: 31654 Test: [ 900/2573] eta: 0:04:07 time: 0.1465 data: 0.0014 max mem: 31654 Test: [1000/2573] eta: 0:03:52 time: 0.1448 data: 0.0015 max mem: 31654 Test: [1100/2573] eta: 0:03:37 time: 0.1448 data: 0.0015 max mem: 31654 Test: [1200/2573] eta: 0:03:22 time: 0.1472 data: 0.0017 max mem: 31654 Test: [1300/2573] eta: 0:03:07 time: 0.1455 data: 0.0016 max mem: 31654 Test: [1400/2573] eta: 0:02:52 time: 0.1418 data: 0.0015 max mem: 31654 Test: [1500/2573] eta: 0:02:37 time: 0.1454 data: 0.0015 max mem: 31654 Test: [1600/2573] eta: 0:02:22 time: 0.1451 data: 0.0014 max mem: 31654 Test: [1700/2573] eta: 0:02:08 time: 0.1469 data: 0.0015 max mem: 31654 Test: [1800/2573] eta: 0:01:53 time: 0.1442 data: 0.0015 max mem: 31654 Test: [1900/2573] eta: 0:01:38 time: 0.1415 data: 0.0015 max mem: 31654 Test: [2000/2573] eta: 0:01:23 time: 0.1441 data: 0.0015 max mem: 31654 Test: [2100/2573] eta: 0:01:09 time: 0.1482 data: 0.0015 max mem: 31654 Test: [2200/2573] eta: 0:00:54 time: 0.1427 data: 0.0015 max mem: 31654 Test: [2300/2573] eta: 0:00:39 time: 0.1477 data: 0.0015 max mem: 31654 Test: [2400/2573] eta: 0:00:25 time: 0.1447 data: 0.0016 max mem: 31654 Test: [2500/2573] eta: 0:00:10 time: 0.1469 data: 0.0016 max mem: 31654 Test: Total time: 0:06:16 Final results: precision@0.5 = 44.87 precision@0.6 = 37.30 precision@0.7 = 29.19 precision@0.8 = 18.77 precision@0.9 = 6.09 overall IoU = 44.29 mean IoU = 41.14 Average object IoU 0.41141410181924354 Overall IoU 44.287125774796756 Epoch: [3] [ 0/5278] eta: 10:08:31 lr: 4.661176650976363e-05 loss: 0.0747 (0.0747) loss_seg: 0.0812 (0.0812) loss_lansim: 0.1036 (0.1036) loss_contra: 0.1381 (0.1381) time: 6.9177 data: 1.3250 max mem: 31654 Epoch: [3] [ 10/5278] eta: 4:16:46 lr: 4.660961833159995e-05 loss: 0.1127 (0.1134) loss_seg: 0.1206 (0.1202) loss_lansim: 0.1091 (0.1077) loss_contra: 0.0047 (0.0413) time: 2.9245 data: 0.1229 max mem: 31654 Epoch: [3] [ 20/5278] eta: 4:01:22 lr: 4.660747014243546e-05 loss: 0.1286 (0.1469) loss_seg: 0.1429 (0.1579) loss_lansim: 0.1107 (0.1075) loss_contra: 0.0013 (0.0221) time: 2.7545 data: 0.0652 max mem: 31654 Epoch: [3] [ 30/5278] eta: 3:53:35 lr: 4.6605321942269534e-05 loss: 0.1448 (0.1521) loss_seg: 0.1603 (0.1630) loss_lansim: 0.1091 (0.1059) loss_contra: 0.0017 (0.0264) time: 2.6706 data: 0.0450 max mem: 31654 Epoch: [3] [ 40/5278] eta: 3:48:59 lr: 4.6603173731101554e-05 loss: 0.1501 (0.1518) loss_seg: 0.1652 (0.1626) loss_lansim: 0.1075 (0.1066) loss_contra: 0.0017 (0.0404) time: 2.6230 data: 0.0346 max mem: 31654 Epoch: [3] [ 50/5278] eta: 3:46:33 lr: 4.660102550893091e-05 loss: 0.1484 (0.1521) loss_seg: 0.1603 (0.1638) loss_lansim: 0.1042 (0.1036) loss_contra: 0.0013 (0.0331) time: 2.6001 data: 0.0283 max mem: 31654 Epoch: [3] [ 60/5278] eta: 3:46:02 lr: 4.6598877275756966e-05 loss: 0.1286 (0.1459) loss_seg: 0.1394 (0.1573) loss_lansim: 0.1042 (0.1033) loss_contra: 0.0017 (0.0405) time: 2.5991 data: 0.0241 max mem: 31654 Epoch: [3] [ 70/5278] eta: 3:45:37 lr: 4.659672903157911e-05 loss: 0.1401 (0.1493) loss_seg: 0.1475 (0.1619) loss_lansim: 0.1042 (0.1040) loss_contra: 0.0014 (0.0373) time: 2.5993 data: 0.0211 max mem: 31654 Epoch: [3] [ 80/5278] eta: 3:44:39 lr: 4.659458077639672e-05 loss: 0.1448 (0.1523) loss_seg: 0.1558 (0.1649) loss_lansim: 0.1069 (0.1059) loss_contra: 0.0013 (0.0328) time: 2.5932 data: 0.0188 max mem: 31654 Epoch: [3] [ 90/5278] eta: 3:43:38 lr: 4.659243251020919e-05 loss: 0.1492 (0.1535) loss_seg: 0.1621 (0.1662) loss_lansim: 0.1075 (0.1075) loss_contra: 0.0013 (0.0300) time: 2.5864 data: 0.0170 max mem: 31654 Epoch: [3] [ 100/5278] eta: 3:42:37 lr: 4.659028423301589e-05 loss: 0.1492 (0.1550) loss_seg: 0.1621 (0.1681) loss_lansim: 0.1069 (0.1073) loss_contra: 0.0011 (0.0271) time: 2.5363 data: 0.0024 max mem: 31654 Epoch: [3] [ 110/5278] eta: 3:42:14 lr: 4.6588135944816183e-05 loss: 0.1501 (0.1555) loss_seg: 0.1652 (0.1688) loss_lansim: 0.1069 (0.1069) loss_contra: 0.0011 (0.0250) time: 2.5422 data: 0.0024 max mem: 31654 Epoch: [3] [ 120/5278] eta: 3:40:57 lr: 4.658598764560946e-05 loss: 0.1402 (0.1551) loss_seg: 0.1541 (0.1682) loss_lansim: 0.1044 (0.1066) loss_contra: 0.0012 (0.0245) time: 2.5317 data: 0.0025 max mem: 31654 Epoch: [3] [ 130/5278] eta: 3:40:45 lr: 4.658383933539512e-05 loss: 0.1402 (0.1575) loss_seg: 0.1517 (0.1706) loss_lansim: 0.1042 (0.1063) loss_contra: 0.0011 (0.0251) time: 2.5427 data: 0.0025 max mem: 31654 Epoch: [3] [ 140/5278] eta: 3:39:54 lr: 4.658169101417252e-05 loss: 0.1388 (0.1561) loss_seg: 0.1479 (0.1690) loss_lansim: 0.1034 (0.1058) loss_contra: 0.0012 (0.0237) time: 2.5454 data: 0.0025 max mem: 31654 Epoch: [3] [ 150/5278] eta: 3:39:24 lr: 4.657954268194105e-05 loss: 0.1399 (0.1552) loss_seg: 0.1541 (0.1682) loss_lansim: 0.1042 (0.1054) loss_contra: 0.0012 (0.0223) time: 2.5505 data: 0.0025 max mem: 31654 Epoch: [3] [ 160/5278] eta: 3:38:28 lr: 4.657739433870008e-05 loss: 0.1448 (0.1564) loss_seg: 0.1559 (0.1697) loss_lansim: 0.1038 (0.1052) loss_contra: 0.0008 (0.0209) time: 2.5382 data: 0.0025 max mem: 31654 Epoch: [3] [ 170/5278] eta: 3:37:29 lr: 4.657524598444899e-05 loss: 0.1437 (0.1557) loss_seg: 0.1556 (0.1690) loss_lansim: 0.1038 (0.1051) loss_contra: 0.0008 (0.0210) time: 2.5230 data: 0.0024 max mem: 31654 Epoch: [3] [ 180/5278] eta: 3:37:03 lr: 4.657309761918717e-05 loss: 0.1385 (0.1552) loss_seg: 0.1517 (0.1681) loss_lansim: 0.1025 (0.1046) loss_contra: 0.0012 (0.0224) time: 2.5235 data: 0.0024 max mem: 31654 Epoch: [3] [ 190/5278] eta: 3:36:51 lr: 4.657094924291399e-05 loss: 0.1362 (0.1552) loss_seg: 0.1491 (0.1681) loss_lansim: 0.1024 (0.1047) loss_contra: 0.0010 (0.0214) time: 2.5309 data: 0.0024 max mem: 31654 Epoch: [3] [ 200/5278] eta: 3:36:18 lr: 4.6568800855628835e-05 loss: 0.1346 (0.1547) loss_seg: 0.1479 (0.1674) loss_lansim: 0.1022 (0.1042) loss_contra: 0.0010 (0.0212) time: 2.5316 data: 0.0025 max mem: 31654 Epoch: [3] [ 210/5278] eta: 3:36:04 lr: 4.6566652457331084e-05 loss: 0.1316 (0.1532) loss_seg: 0.1426 (0.1659) loss_lansim: 0.1020 (0.1038) loss_contra: 0.0012 (0.0204) time: 2.5335 data: 0.0025 max mem: 31654 Epoch: [3] [ 220/5278] eta: 3:35:43 lr: 4.6564504048020116e-05 loss: 0.1340 (0.1547) loss_seg: 0.1470 (0.1677) loss_lansim: 0.1015 (0.1036) loss_contra: 0.0010 (0.0198) time: 2.5455 data: 0.0025 max mem: 31654 Epoch: [3] [ 230/5278] eta: 3:35:06 lr: 4.65623556276953e-05 loss: 0.1340 (0.1541) loss_seg: 0.1490 (0.1672) loss_lansim: 0.1001 (0.1038) loss_contra: 0.0010 (0.0192) time: 2.5356 data: 0.0025 max mem: 31654 Epoch: [3] [ 240/5278] eta: 3:34:32 lr: 4.656020719635602e-05 loss: 0.1340 (0.1536) loss_seg: 0.1490 (0.1666) loss_lansim: 0.0997 (0.1035) loss_contra: 0.0008 (0.0204) time: 2.5369 data: 0.0025 max mem: 31654 Epoch: [3] [ 250/5278] eta: 3:34:14 lr: 4.655805875400167e-05 loss: 0.1333 (0.1551) loss_seg: 0.1484 (0.1684) loss_lansim: 0.0997 (0.1033) loss_contra: 0.0008 (0.0198) time: 2.5404 data: 0.0025 max mem: 31654 Epoch: [3] [ 260/5278] eta: 3:33:41 lr: 4.6555910300631603e-05 loss: 0.1341 (0.1549) loss_seg: 0.1490 (0.1684) loss_lansim: 0.0997 (0.1036) loss_contra: 0.0008 (0.0191) time: 2.5453 data: 0.0025 max mem: 31654 Epoch: [3] [ 270/5278] eta: 3:33:01 lr: 4.655376183624521e-05 loss: 0.1333 (0.1541) loss_seg: 0.1484 (0.1675) loss_lansim: 0.0990 (0.1032) loss_contra: 0.0008 (0.0185) time: 2.5478 data: 0.0025 max mem: 31654 Epoch: [3] [ 280/5278] eta: 3:32:33 lr: 4.6551613360841876e-05 loss: 0.1396 (0.1550) loss_seg: 0.1495 (0.1684) loss_lansim: 0.0986 (0.1029) loss_contra: 0.0007 (0.0179) time: 2.5464 data: 0.0025 max mem: 31654 Epoch: [3] [ 290/5278] eta: 3:32:15 lr: 4.654946487442097e-05 loss: 0.1396 (0.1544) loss_seg: 0.1490 (0.1678) loss_lansim: 0.0982 (0.1027) loss_contra: 0.0006 (0.0179) time: 2.5454 data: 0.0025 max mem: 31654 Epoch: [3] [ 300/5278] eta: 3:31:46 lr: 4.6547316376981884e-05 loss: 0.1357 (0.1539) loss_seg: 0.1489 (0.1673) loss_lansim: 0.0982 (0.1028) loss_contra: 0.0006 (0.0186) time: 2.5460 data: 0.0025 max mem: 31654 Epoch: [3] [ 310/5278] eta: 3:31:22 lr: 4.654516786852398e-05 loss: 0.1403 (0.1538) loss_seg: 0.1511 (0.1673) loss_lansim: 0.0984 (0.1030) loss_contra: 0.0007 (0.0189) time: 2.5417 data: 0.0025 max mem: 31654 Epoch: [3] [ 320/5278] eta: 3:30:39 lr: 4.654301934904664e-05 loss: 0.1430 (0.1539) loss_seg: 0.1550 (0.1674) loss_lansim: 0.0986 (0.1029) loss_contra: 0.0006 (0.0183) time: 2.5280 data: 0.0025 max mem: 31654 Epoch: [3] [ 330/5278] eta: 3:30:11 lr: 4.654087081854925e-05 loss: 0.1466 (0.1537) loss_seg: 0.1552 (0.1671) loss_lansim: 0.0984 (0.1032) loss_contra: 0.0007 (0.0207) time: 2.5302 data: 0.0025 max mem: 31654 Epoch: [3] [ 340/5278] eta: 3:29:47 lr: 4.653872227703118e-05 loss: 0.1489 (0.1540) loss_seg: 0.1552 (0.1675) loss_lansim: 0.0982 (0.1030) loss_contra: 0.0007 (0.0202) time: 2.5344 data: 0.0025 max mem: 31654 Epoch: [3] [ 350/5278] eta: 3:29:13 lr: 4.6536573724491814e-05 loss: 0.1430 (0.1543) loss_seg: 0.1530 (0.1677) loss_lansim: 0.0984 (0.1029) loss_contra: 0.0007 (0.0218) time: 2.5243 data: 0.0025 max mem: 31654 Epoch: [3] [ 360/5278] eta: 3:28:52 lr: 4.653442516093052e-05 loss: 0.1499 (0.1549) loss_seg: 0.1530 (0.1682) loss_lansim: 0.0990 (0.1031) loss_contra: 0.0008 (0.0219) time: 2.5304 data: 0.0025 max mem: 31654 Epoch: [3] [ 370/5278] eta: 3:28:15 lr: 4.653227658634669e-05 loss: 0.1488 (0.1548) loss_seg: 0.1504 (0.1681) loss_lansim: 0.0979 (0.1029) loss_contra: 0.0008 (0.0215) time: 2.5289 data: 0.0025 max mem: 31654 Epoch: [3] [ 380/5278] eta: 3:27:57 lr: 4.65301280007397e-05 loss: 0.1346 (0.1546) loss_seg: 0.1483 (0.1678) loss_lansim: 0.0965 (0.1026) loss_contra: 0.0009 (0.0213) time: 2.5352 data: 0.0025 max mem: 31654 Epoch: [3] [ 390/5278] eta: 3:27:22 lr: 4.652797940410892e-05 loss: 0.1350 (0.1547) loss_seg: 0.1483 (0.1677) loss_lansim: 0.0970 (0.1026) loss_contra: 0.0011 (0.0292) time: 2.5231 data: 0.0025 max mem: 31654 Epoch: [3] [ 400/5278] eta: 3:27:04 lr: 4.6525830796453726e-05 loss: 0.1347 (0.1538) loss_seg: 0.1481 (0.1668) loss_lansim: 0.1013 (0.1028) loss_contra: 0.0011 (0.0307) time: 2.5304 data: 0.0025 max mem: 31654 Epoch: [3] [ 410/5278] eta: 3:26:36 lr: 4.65236821777735e-05 loss: 0.1350 (0.1552) loss_seg: 0.1483 (0.1682) loss_lansim: 0.1007 (0.1033) loss_contra: 0.0011 (0.0312) time: 2.5269 data: 0.0025 max mem: 31654 Epoch: [3] [ 420/5278] eta: 3:26:21 lr: 4.652153354806763e-05 loss: 0.1359 (0.1556) loss_seg: 0.1490 (0.1687) loss_lansim: 0.1020 (0.1038) loss_contra: 0.0015 (0.0310) time: 2.5464 data: 0.0025 max mem: 31654 Epoch: [3] [ 430/5278] eta: 3:25:53 lr: 4.651938490733548e-05 loss: 0.1346 (0.1551) loss_seg: 0.1481 (0.1681) loss_lansim: 0.1013 (0.1037) loss_contra: 0.0015 (0.0328) time: 2.5459 data: 0.0025 max mem: 31654 Epoch: [3] [ 440/5278] eta: 3:25:23 lr: 4.651723625557644e-05 loss: 0.1341 (0.1552) loss_seg: 0.1479 (0.1683) loss_lansim: 0.1007 (0.1035) loss_contra: 0.0020 (0.0322) time: 2.5415 data: 0.0025 max mem: 31654 Epoch: [3] [ 450/5278] eta: 3:24:51 lr: 4.6515087592789864e-05 loss: 0.1339 (0.1554) loss_seg: 0.1479 (0.1685) loss_lansim: 0.1010 (0.1035) loss_contra: 0.0021 (0.0332) time: 2.5409 data: 0.0025 max mem: 31654 Epoch: [3] [ 460/5278] eta: 3:24:20 lr: 4.651293891897515e-05 loss: 0.1341 (0.1561) loss_seg: 0.1481 (0.1693) loss_lansim: 0.1002 (0.1037) loss_contra: 0.0022 (0.0328) time: 2.5319 data: 0.0025 max mem: 31654 Epoch: [3] [ 470/5278] eta: 3:23:52 lr: 4.651079023413167e-05 loss: 0.1347 (0.1565) loss_seg: 0.1479 (0.1698) loss_lansim: 0.1007 (0.1037) loss_contra: 0.0025 (0.0327) time: 2.5380 data: 0.0025 max mem: 31654 Epoch: [3] [ 480/5278] eta: 3:23:20 lr: 4.6508641538258805e-05 loss: 0.1433 (0.1563) loss_seg: 0.1499 (0.1695) loss_lansim: 0.1014 (0.1038) loss_contra: 0.0028 (0.0325) time: 2.5252 data: 0.0025 max mem: 31654 Epoch: [3] [ 490/5278] eta: 3:22:47 lr: 4.650649283135593e-05 loss: 0.1422 (0.1559) loss_seg: 0.1508 (0.1690) loss_lansim: 0.1017 (0.1039) loss_contra: 0.0022 (0.0331) time: 2.5247 data: 0.0025 max mem: 31654 Epoch: [3] [ 500/5278] eta: 3:22:17 lr: 4.6504344113422416e-05 loss: 0.1457 (0.1564) loss_seg: 0.1551 (0.1697) loss_lansim: 0.0987 (0.1036) loss_contra: 0.0028 (0.0342) time: 2.5136 data: 0.0025 max mem: 31654 Epoch: [3] [ 510/5278] eta: 3:22:00 lr: 4.650219538445764e-05 loss: 0.1447 (0.1562) loss_seg: 0.1528 (0.1695) loss_lansim: 0.0971 (0.1032) loss_contra: 0.0028 (0.0345) time: 2.5236 data: 0.0025 max mem: 31654 Epoch: [3] [ 520/5278] eta: 3:21:35 lr: 4.6500046644461e-05 loss: 0.1433 (0.1558) loss_seg: 0.1514 (0.1690) loss_lansim: 0.0962 (0.1030) loss_contra: 0.0034 (0.0343) time: 2.5151 data: 0.0025 max mem: 31654 Epoch: [3] [ 530/5278] eta: 3:21:05 lr: 4.649789789343184e-05 loss: 0.1513 (0.1562) loss_seg: 0.1623 (0.1695) loss_lansim: 0.0946 (0.1030) loss_contra: 0.0034 (0.0354) time: 2.5118 data: 0.0025 max mem: 31654 Epoch: [3] [ 540/5278] eta: 3:20:42 lr: 4.649574913136956e-05 loss: 0.1526 (0.1563) loss_seg: 0.1623 (0.1695) loss_lansim: 0.0962 (0.1029) loss_contra: 0.0041 (0.0360) time: 2.5172 data: 0.0026 max mem: 31654 Epoch: [3] [ 550/5278] eta: 3:20:11 lr: 4.649360035827353e-05 loss: 0.1539 (0.1563) loss_seg: 0.1611 (0.1695) loss_lansim: 0.0945 (0.1026) loss_contra: 0.0041 (0.0368) time: 2.5154 data: 0.0026 max mem: 31654 Epoch: [3] [ 560/5278] eta: 3:19:43 lr: 4.649145157414313e-05 loss: 0.1524 (0.1562) loss_seg: 0.1554 (0.1693) loss_lansim: 0.0936 (0.1024) loss_contra: 0.0041 (0.0364) time: 2.5180 data: 0.0026 max mem: 31654 Epoch: [3] [ 570/5278] eta: 3:19:19 lr: 4.648930277897773e-05 loss: 0.1540 (0.1565) loss_seg: 0.1609 (0.1696) loss_lansim: 0.0932 (0.1024) loss_contra: 0.0041 (0.0364) time: 2.5211 data: 0.0026 max mem: 31654 Epoch: [3] [ 580/5278] eta: 3:18:54 lr: 4.648715397277671e-05 loss: 0.1524 (0.1566) loss_seg: 0.1609 (0.1698) loss_lansim: 0.0936 (0.1024) loss_contra: 0.0037 (0.0359) time: 2.5288 data: 0.0026 max mem: 31654 Epoch: [3] [ 590/5278] eta: 3:18:35 lr: 4.648500515553945e-05 loss: 0.1513 (0.1561) loss_seg: 0.1574 (0.1692) loss_lansim: 0.0915 (0.1022) loss_contra: 0.0037 (0.0363) time: 2.5442 data: 0.0026 max mem: 31654 Epoch: [3] [ 600/5278] eta: 3:18:07 lr: 4.648285632726532e-05 loss: 0.1512 (0.1564) loss_seg: 0.1574 (0.1697) loss_lansim: 0.0932 (0.1022) loss_contra: 0.0037 (0.0360) time: 2.5448 data: 0.0026 max mem: 31654 Epoch: [3] [ 610/5278] eta: 3:17:41 lr: 4.64807074879537e-05 loss: 0.1507 (0.1560) loss_seg: 0.1554 (0.1693) loss_lansim: 0.0946 (0.1021) loss_contra: 0.0037 (0.0359) time: 2.5361 data: 0.0026 max mem: 31654 Epoch: [3] [ 620/5278] eta: 3:17:20 lr: 4.647855863760397e-05 loss: 0.1473 (0.1556) loss_seg: 0.1554 (0.1688) loss_lansim: 0.0945 (0.1020) loss_contra: 0.0037 (0.0360) time: 2.5403 data: 0.0025 max mem: 31654 Epoch: [3] [ 630/5278] eta: 3:16:56 lr: 4.6476409776215496e-05 loss: 0.1426 (0.1556) loss_seg: 0.1518 (0.1688) loss_lansim: 0.0957 (0.1021) loss_contra: 0.0035 (0.0355) time: 2.5471 data: 0.0025 max mem: 31654 Epoch: [3] [ 640/5278] eta: 3:16:24 lr: 4.647426090378767e-05 loss: 0.1415 (0.1556) loss_seg: 0.1506 (0.1687) loss_lansim: 0.0957 (0.1021) loss_contra: 0.0025 (0.0354) time: 2.5368 data: 0.0025 max mem: 31654 Epoch: [3] [ 650/5278] eta: 3:15:59 lr: 4.6472112020319844e-05 loss: 0.1438 (0.1556) loss_seg: 0.1561 (0.1688) loss_lansim: 0.0966 (0.1021) loss_contra: 0.0019 (0.0351) time: 2.5441 data: 0.0025 max mem: 31654 Epoch: [3] [ 660/5278] eta: 3:15:41 lr: 4.646996312581142e-05 loss: 0.1415 (0.1553) loss_seg: 0.1561 (0.1684) loss_lansim: 0.0980 (0.1020) loss_contra: 0.0014 (0.0346) time: 2.5565 data: 0.0025 max mem: 31654 Epoch: [3] [ 670/5278] eta: 3:15:13 lr: 4.646781422026176e-05 loss: 0.1379 (0.1549) loss_seg: 0.1486 (0.1680) loss_lansim: 0.0980 (0.1020) loss_contra: 0.0011 (0.0341) time: 2.5523 data: 0.0025 max mem: 31654 Epoch: [3] [ 680/5278] eta: 3:14:50 lr: 4.6465665303670245e-05 loss: 0.1372 (0.1547) loss_seg: 0.1486 (0.1678) loss_lansim: 0.0964 (0.1019) loss_contra: 0.0011 (0.0341) time: 2.5548 data: 0.0025 max mem: 31654 Epoch: [3] [ 690/5278] eta: 3:14:22 lr: 4.646351637603625e-05 loss: 0.1400 (0.1548) loss_seg: 0.1530 (0.1680) loss_lansim: 0.0964 (0.1016) loss_contra: 0.0010 (0.0337) time: 2.5436 data: 0.0024 max mem: 31654 Epoch: [3] [ 700/5278] eta: 3:13:59 lr: 4.646136743735914e-05 loss: 0.1400 (0.1550) loss_seg: 0.1530 (0.1681) loss_lansim: 0.0944 (0.1015) loss_contra: 0.0009 (0.0332) time: 2.5515 data: 0.0024 max mem: 31654 Epoch: [3] [ 710/5278] eta: 3:13:31 lr: 4.6459218487638304e-05 loss: 0.1413 (0.1553) loss_seg: 0.1571 (0.1685) loss_lansim: 0.0938 (0.1014) loss_contra: 0.0006 (0.0330) time: 2.5472 data: 0.0024 max mem: 31654 Epoch: [3] [ 720/5278] eta: 3:13:02 lr: 4.645706952687312e-05 loss: 0.1497 (0.1554) loss_seg: 0.1599 (0.1686) loss_lansim: 0.0929 (0.1013) loss_contra: 0.0005 (0.0331) time: 2.5365 data: 0.0025 max mem: 31654 Epoch: [3] [ 730/5278] eta: 3:12:41 lr: 4.645492055506295e-05 loss: 0.1425 (0.1551) loss_seg: 0.1571 (0.1682) loss_lansim: 0.0917 (0.1011) loss_contra: 0.0008 (0.0328) time: 2.5412 data: 0.0025 max mem: 31654 Epoch: [3] [ 740/5278] eta: 3:12:08 lr: 4.6452771572207176e-05 loss: 0.1512 (0.1555) loss_seg: 0.1599 (0.1686) loss_lansim: 0.0905 (0.1010) loss_contra: 0.0009 (0.0326) time: 2.5372 data: 0.0025 max mem: 31654 Epoch: [3] [ 750/5278] eta: 3:11:45 lr: 4.645062257830518e-05 loss: 0.1425 (0.1553) loss_seg: 0.1571 (0.1685) loss_lansim: 0.0893 (0.1008) loss_contra: 0.0009 (0.0323) time: 2.5408 data: 0.0025 max mem: 31654 Epoch: [3] [ 760/5278] eta: 3:11:19 lr: 4.644847357335633e-05 loss: 0.1531 (0.1561) loss_seg: 0.1667 (0.1693) loss_lansim: 0.0903 (0.1010) loss_contra: 0.0008 (0.0320) time: 2.5301 data: 0.0025 max mem: 31654 Epoch: [3] [ 770/5278] eta: 3:10:55 lr: 4.644632455736001e-05 loss: 0.1519 (0.1559) loss_seg: 0.1599 (0.1691) loss_lansim: 0.0910 (0.1010) loss_contra: 0.0008 (0.0318) time: 2.5355 data: 0.0024 max mem: 31654 Epoch: [3] [ 780/5278] eta: 3:10:29 lr: 4.644417553031557e-05 loss: 0.1542 (0.1561) loss_seg: 0.1667 (0.1693) loss_lansim: 0.0915 (0.1011) loss_contra: 0.0005 (0.0322) time: 2.5315 data: 0.0024 max mem: 31654 Epoch: [3] [ 790/5278] eta: 3:10:00 lr: 4.644202649222241e-05 loss: 0.1554 (0.1568) loss_seg: 0.1685 (0.1700) loss_lansim: 0.0931 (0.1012) loss_contra: 0.0008 (0.0319) time: 2.5277 data: 0.0025 max mem: 31654 Epoch: [3] [ 800/5278] eta: 3:09:32 lr: 4.6439877443079905e-05 loss: 0.1554 (0.1568) loss_seg: 0.1599 (0.1700) loss_lansim: 0.0934 (0.1012) loss_contra: 0.0010 (0.0320) time: 2.5188 data: 0.0025 max mem: 31654 Epoch: [3] [ 810/5278] eta: 3:09:02 lr: 4.643772838288742e-05 loss: 0.1554 (0.1571) loss_seg: 0.1667 (0.1703) loss_lansim: 0.0939 (0.1012) loss_contra: 0.0012 (0.0316) time: 2.5144 data: 0.0025 max mem: 31654 Epoch: [3] [ 820/5278] eta: 3:08:34 lr: 4.643557931164434e-05 loss: 0.1613 (0.1576) loss_seg: 0.1797 (0.1708) loss_lansim: 0.0942 (0.1011) loss_contra: 0.0010 (0.0312) time: 2.5150 data: 0.0025 max mem: 31654 Epoch: [3] [ 830/5278] eta: 3:08:03 lr: 4.6433430229350024e-05 loss: 0.1670 (0.1575) loss_seg: 0.1859 (0.1707) loss_lansim: 0.0947 (0.1009) loss_contra: 0.0010 (0.0313) time: 2.4984 data: 0.0025 max mem: 31654 Epoch: [3] [ 840/5278] eta: 3:07:39 lr: 4.6431281136003864e-05 loss: 0.1613 (0.1578) loss_seg: 0.1797 (0.1710) loss_lansim: 0.0974 (0.1011) loss_contra: 0.0007 (0.0310) time: 2.5115 data: 0.0025 max mem: 31654 Epoch: [3] [ 850/5278] eta: 3:07:11 lr: 4.642913203160522e-05 loss: 0.1617 (0.1578) loss_seg: 0.1797 (0.1710) loss_lansim: 0.0984 (0.1010) loss_contra: 0.0009 (0.0313) time: 2.5025 data: 0.0024 max mem: 31654 Epoch: [3] [ 860/5278] eta: 3:06:45 lr: 4.642698291615348e-05 loss: 0.1596 (0.1580) loss_seg: 0.1733 (0.1712) loss_lansim: 0.1001 (0.1011) loss_contra: 0.0010 (0.0311) time: 2.5018 data: 0.0024 max mem: 31654 Epoch: [3] [ 870/5278] eta: 3:06:15 lr: 4.6424833789648e-05 loss: 0.1617 (0.1583) loss_seg: 0.1797 (0.1715) loss_lansim: 0.0984 (0.1011) loss_contra: 0.0010 (0.0310) time: 2.4896 data: 0.0024 max mem: 31654 Epoch: [3] [ 880/5278] eta: 3:05:48 lr: 4.642268465208818e-05 loss: 0.1613 (0.1581) loss_seg: 0.1778 (0.1712) loss_lansim: 0.0987 (0.1012) loss_contra: 0.0012 (0.0308) time: 2.4861 data: 0.0024 max mem: 31654 Epoch: [3] [ 890/5278] eta: 3:05:21 lr: 4.6420535503473385e-05 loss: 0.1587 (0.1578) loss_seg: 0.1696 (0.1710) loss_lansim: 0.0987 (0.1012) loss_contra: 0.0014 (0.0326) time: 2.4888 data: 0.0024 max mem: 31654 Epoch: [3] [ 900/5278] eta: 3:04:53 lr: 4.641838634380298e-05 loss: 0.1587 (0.1576) loss_seg: 0.1696 (0.1707) loss_lansim: 0.0980 (0.1012) loss_contra: 0.0014 (0.0323) time: 2.4889 data: 0.0024 max mem: 31654 Epoch: [3] [ 910/5278] eta: 3:04:27 lr: 4.6416237173076335e-05 loss: 0.1556 (0.1575) loss_seg: 0.1670 (0.1706) loss_lansim: 0.0988 (0.1012) loss_contra: 0.0019 (0.0323) time: 2.4957 data: 0.0024 max mem: 31654 Epoch: [3] [ 920/5278] eta: 3:04:02 lr: 4.641408799129285e-05 loss: 0.1481 (0.1575) loss_seg: 0.1640 (0.1706) loss_lansim: 0.1013 (0.1014) loss_contra: 0.0020 (0.0322) time: 2.4996 data: 0.0024 max mem: 31654 Epoch: [3] [ 930/5278] eta: 3:03:35 lr: 4.641193879845187e-05 loss: 0.1481 (0.1573) loss_seg: 0.1640 (0.1704) loss_lansim: 0.1044 (0.1016) loss_contra: 0.0020 (0.0322) time: 2.5055 data: 0.0025 max mem: 31654 Epoch: [3] [ 940/5278] eta: 3:03:08 lr: 4.64097895945528e-05 loss: 0.1481 (0.1576) loss_seg: 0.1640 (0.1707) loss_lansim: 0.1044 (0.1017) loss_contra: 0.0020 (0.0319) time: 2.4994 data: 0.0025 max mem: 31654 Epoch: [3] [ 950/5278] eta: 3:02:39 lr: 4.6407640379594985e-05 loss: 0.1447 (0.1576) loss_seg: 0.1610 (0.1707) loss_lansim: 0.1044 (0.1018) loss_contra: 0.0017 (0.0316) time: 2.4959 data: 0.0025 max mem: 31654 Epoch: [3] [ 960/5278] eta: 3:02:12 lr: 4.640549115357781e-05 loss: 0.1417 (0.1572) loss_seg: 0.1578 (0.1703) loss_lansim: 0.1033 (0.1018) loss_contra: 0.0020 (0.0313) time: 2.4934 data: 0.0025 max mem: 31654 Epoch: [3] [ 970/5278] eta: 3:01:43 lr: 4.6403341916500656e-05 loss: 0.1397 (0.1571) loss_seg: 0.1531 (0.1702) loss_lansim: 0.1071 (0.1021) loss_contra: 0.0017 (0.0311) time: 2.4940 data: 0.0026 max mem: 31654 Epoch: [3] [ 980/5278] eta: 3:01:18 lr: 4.640119266836289e-05 loss: 0.1337 (0.1570) loss_seg: 0.1475 (0.1701) loss_lansim: 0.1075 (0.1022) loss_contra: 0.0018 (0.0312) time: 2.4975 data: 0.0026 max mem: 31654 Epoch: [3] [ 990/5278] eta: 3:00:54 lr: 4.639904340916389e-05 loss: 0.1337 (0.1569) loss_seg: 0.1475 (0.1700) loss_lansim: 0.1095 (0.1023) loss_contra: 0.0014 (0.0319) time: 2.5038 data: 0.0026 max mem: 31654 Epoch: [3] [1000/5278] eta: 3:00:31 lr: 4.639689413890302e-05 loss: 0.1397 (0.1568) loss_seg: 0.1542 (0.1699) loss_lansim: 0.1106 (0.1025) loss_contra: 0.0014 (0.0316) time: 2.5131 data: 0.0026 max mem: 31654 Epoch: [3] [1010/5278] eta: 3:00:06 lr: 4.6394744857579665e-05 loss: 0.1381 (0.1566) loss_seg: 0.1486 (0.1698) loss_lansim: 0.1115 (0.1026) loss_contra: 0.0014 (0.0315) time: 2.5153 data: 0.0025 max mem: 31654 Epoch: [3] [1020/5278] eta: 2:59:37 lr: 4.639259556519319e-05 loss: 0.1381 (0.1567) loss_seg: 0.1486 (0.1698) loss_lansim: 0.1099 (0.1027) loss_contra: 0.0012 (0.0316) time: 2.5053 data: 0.0025 max mem: 31654 Epoch: [3] [1030/5278] eta: 2:59:09 lr: 4.6390446261742974e-05 loss: 0.1308 (0.1564) loss_seg: 0.1384 (0.1695) loss_lansim: 0.1080 (0.1028) loss_contra: 0.0010 (0.0315) time: 2.5038 data: 0.0026 max mem: 31654 Epoch: [3] [1040/5278] eta: 2:58:44 lr: 4.638829694722839e-05 loss: 0.1275 (0.1565) loss_seg: 0.1381 (0.1696) loss_lansim: 0.1095 (0.1029) loss_contra: 0.0010 (0.0315) time: 2.5066 data: 0.0026 max mem: 31654 Epoch: [3] [1050/5278] eta: 2:58:18 lr: 4.638614762164882e-05 loss: 0.1275 (0.1566) loss_seg: 0.1377 (0.1696) loss_lansim: 0.1095 (0.1029) loss_contra: 0.0012 (0.0316) time: 2.5123 data: 0.0025 max mem: 31654 Epoch: [3] [1060/5278] eta: 2:57:51 lr: 4.638399828500362e-05 loss: 0.1304 (0.1568) loss_seg: 0.1384 (0.1699) loss_lansim: 0.1105 (0.1030) loss_contra: 0.0017 (0.0320) time: 2.5117 data: 0.0025 max mem: 31654 Epoch: [3] [1070/5278] eta: 2:57:25 lr: 4.638184893729216e-05 loss: 0.1275 (0.1566) loss_seg: 0.1403 (0.1696) loss_lansim: 0.1068 (0.1030) loss_contra: 0.0022 (0.0318) time: 2.5198 data: 0.0025 max mem: 31654 Epoch: [3] [1080/5278] eta: 2:56:56 lr: 4.6379699578513836e-05 loss: 0.1304 (0.1568) loss_seg: 0.1413 (0.1698) loss_lansim: 0.1095 (0.1031) loss_contra: 0.0023 (0.0324) time: 2.5087 data: 0.0025 max mem: 31654 Epoch: [3] [1090/5278] eta: 2:56:32 lr: 4.637755020866801e-05 loss: 0.1304 (0.1566) loss_seg: 0.1413 (0.1696) loss_lansim: 0.1068 (0.1031) loss_contra: 0.0022 (0.0322) time: 2.5080 data: 0.0025 max mem: 31654 Epoch: [3] [1100/5278] eta: 2:56:09 lr: 4.6375400827754054e-05 loss: 0.1304 (0.1566) loss_seg: 0.1413 (0.1696) loss_lansim: 0.1054 (0.1031) loss_contra: 0.0023 (0.0321) time: 2.5078 data: 0.0025 max mem: 31654 Epoch: [3] [1110/5278] eta: 2:55:41 lr: 4.637325143577134e-05 loss: 0.1400 (0.1568) loss_seg: 0.1528 (0.1698) loss_lansim: 0.1052 (0.1031) loss_contra: 0.0021 (0.0319) time: 2.5009 data: 0.0025 max mem: 31654 Epoch: [3] [1120/5278] eta: 2:55:19 lr: 4.6371102032719236e-05 loss: 0.1355 (0.1567) loss_seg: 0.1458 (0.1696) loss_lansim: 0.1043 (0.1032) loss_contra: 0.0023 (0.0319) time: 2.5187 data: 0.0026 max mem: 31654 Epoch: [3] [1130/5278] eta: 2:54:54 lr: 4.636895261859713e-05 loss: 0.1449 (0.1571) loss_seg: 0.1590 (0.1701) loss_lansim: 0.1043 (0.1032) loss_contra: 0.0022 (0.0316) time: 2.5234 data: 0.0026 max mem: 31654 Epoch: [3] [1140/5278] eta: 2:54:27 lr: 4.636680319340439e-05 loss: 0.1453 (0.1571) loss_seg: 0.1597 (0.1701) loss_lansim: 0.1040 (0.1033) loss_contra: 0.0025 (0.0320) time: 2.5203 data: 0.0026 max mem: 31654 Epoch: [3] [1150/5278] eta: 2:54:02 lr: 4.6364653757140375e-05 loss: 0.1461 (0.1571) loss_seg: 0.1597 (0.1700) loss_lansim: 0.1047 (0.1033) loss_contra: 0.0024 (0.0322) time: 2.5238 data: 0.0026 max mem: 31654 Epoch: [3] [1160/5278] eta: 2:53:38 lr: 4.6362504309804475e-05 loss: 0.1475 (0.1570) loss_seg: 0.1602 (0.1700) loss_lansim: 0.1047 (0.1034) loss_contra: 0.0022 (0.0324) time: 2.5292 data: 0.0026 max mem: 31654 Epoch: [3] [1170/5278] eta: 2:53:13 lr: 4.6360354851396046e-05 loss: 0.1494 (0.1573) loss_seg: 0.1607 (0.1703) loss_lansim: 0.1047 (0.1034) loss_contra: 0.0022 (0.0330) time: 2.5317 data: 0.0026 max mem: 31654 Epoch: [3] [1180/5278] eta: 2:52:50 lr: 4.6358205381914484e-05 loss: 0.1470 (0.1573) loss_seg: 0.1602 (0.1702) loss_lansim: 0.1043 (0.1034) loss_contra: 0.0010 (0.0328) time: 2.5481 data: 0.0025 max mem: 31654 Epoch: [3] [1190/5278] eta: 2:52:25 lr: 4.635605590135914e-05 loss: 0.1467 (0.1572) loss_seg: 0.1602 (0.1701) loss_lansim: 0.1052 (0.1035) loss_contra: 0.0010 (0.0329) time: 2.5473 data: 0.0025 max mem: 31654 Epoch: [3] [1200/5278] eta: 2:51:59 lr: 4.635390640972939e-05 loss: 0.1467 (0.1572) loss_seg: 0.1600 (0.1702) loss_lansim: 0.1068 (0.1035) loss_contra: 0.0010 (0.0330) time: 2.5407 data: 0.0025 max mem: 31654 Epoch: [3] [1210/5278] eta: 2:51:34 lr: 4.635175690702461e-05 loss: 0.1461 (0.1573) loss_seg: 0.1600 (0.1702) loss_lansim: 0.1070 (0.1035) loss_contra: 0.0010 (0.0327) time: 2.5472 data: 0.0025 max mem: 31654 Epoch: [3] [1220/5278] eta: 2:51:09 lr: 4.634960739324419e-05 loss: 0.1494 (0.1574) loss_seg: 0.1632 (0.1703) loss_lansim: 0.1070 (0.1034) loss_contra: 0.0010 (0.0325) time: 2.5385 data: 0.0025 max mem: 31654 Epoch: [3] [1230/5278] eta: 2:50:45 lr: 4.6347457868387466e-05 loss: 0.1470 (0.1572) loss_seg: 0.1599 (0.1702) loss_lansim: 0.1070 (0.1035) loss_contra: 0.0010 (0.0323) time: 2.5439 data: 0.0025 max mem: 31654 Epoch: [3] [1240/5278] eta: 2:50:20 lr: 4.634530833245383e-05 loss: 0.1461 (0.1571) loss_seg: 0.1588 (0.1701) loss_lansim: 0.1061 (0.1035) loss_contra: 0.0008 (0.0324) time: 2.5477 data: 0.0025 max mem: 31654 Epoch: [3] [1250/5278] eta: 2:49:55 lr: 4.634315878544266e-05 loss: 0.1467 (0.1571) loss_seg: 0.1590 (0.1700) loss_lansim: 0.1046 (0.1035) loss_contra: 0.0006 (0.0322) time: 2.5485 data: 0.0025 max mem: 31654 Epoch: [3] [1260/5278] eta: 2:49:29 lr: 4.634100922735331e-05 loss: 0.1470 (0.1572) loss_seg: 0.1599 (0.1702) loss_lansim: 0.1039 (0.1035) loss_contra: 0.0006 (0.0320) time: 2.5449 data: 0.0025 max mem: 31654 Epoch: [3] [1270/5278] eta: 2:49:04 lr: 4.633885965818518e-05 loss: 0.1505 (0.1576) loss_seg: 0.1636 (0.1706) loss_lansim: 0.1043 (0.1035) loss_contra: 0.0006 (0.0318) time: 2.5428 data: 0.0025 max mem: 31654 Epoch: [3] [1280/5278] eta: 2:48:38 lr: 4.633671007793761e-05 loss: 0.1512 (0.1575) loss_seg: 0.1632 (0.1705) loss_lansim: 0.1043 (0.1035) loss_contra: 0.0004 (0.0317) time: 2.5331 data: 0.0025 max mem: 31654 Epoch: [3] [1290/5278] eta: 2:48:15 lr: 4.633456048660999e-05 loss: 0.1505 (0.1574) loss_seg: 0.1593 (0.1704) loss_lansim: 0.1024 (0.1035) loss_contra: 0.0004 (0.0315) time: 2.5389 data: 0.0025 max mem: 31654 Epoch: [3] [1300/5278] eta: 2:47:47 lr: 4.6332410884201686e-05 loss: 0.1505 (0.1574) loss_seg: 0.1593 (0.1704) loss_lansim: 0.1009 (0.1034) loss_contra: 0.0004 (0.0316) time: 2.5337 data: 0.0025 max mem: 31654 Epoch: [3] [1310/5278] eta: 2:47:23 lr: 4.633026127071208e-05 loss: 0.1482 (0.1573) loss_seg: 0.1542 (0.1703) loss_lansim: 0.1021 (0.1035) loss_contra: 0.0004 (0.0315) time: 2.5355 data: 0.0025 max mem: 31654 Epoch: [3] [1320/5278] eta: 2:46:55 lr: 4.6328111646140535e-05 loss: 0.1385 (0.1573) loss_seg: 0.1542 (0.1703) loss_lansim: 0.1015 (0.1034) loss_contra: 0.0004 (0.0313) time: 2.5297 data: 0.0025 max mem: 31654 Epoch: [3] [1330/5278] eta: 2:46:31 lr: 4.6325962010486416e-05 loss: 0.1493 (0.1572) loss_seg: 0.1542 (0.1702) loss_lansim: 0.1020 (0.1034) loss_contra: 0.0004 (0.0314) time: 2.5287 data: 0.0024 max mem: 31654 Epoch: [3] [1340/5278] eta: 2:46:07 lr: 4.632381236374911e-05 loss: 0.1528 (0.1576) loss_seg: 0.1673 (0.1706) loss_lansim: 0.1022 (0.1035) loss_contra: 0.0004 (0.0313) time: 2.5319 data: 0.0024 max mem: 31654 Epoch: [3] [1350/5278] eta: 2:45:44 lr: 4.632166270592797e-05 loss: 0.1528 (0.1575) loss_seg: 0.1610 (0.1705) loss_lansim: 0.1020 (0.1036) loss_contra: 0.0006 (0.0311) time: 2.5383 data: 0.0024 max mem: 31654 Epoch: [3] [1360/5278] eta: 2:45:19 lr: 4.6319513037022385e-05 loss: 0.1435 (0.1575) loss_seg: 0.1578 (0.1705) loss_lansim: 0.1021 (0.1036) loss_contra: 0.0006 (0.0310) time: 2.5393 data: 0.0025 max mem: 31654 Epoch: [3] [1370/5278] eta: 2:44:49 lr: 4.631736335703171e-05 loss: 0.1422 (0.1575) loss_seg: 0.1515 (0.1704) loss_lansim: 0.1024 (0.1036) loss_contra: 0.0007 (0.0313) time: 2.5259 data: 0.0025 max mem: 31654 Epoch: [3] [1380/5278] eta: 2:44:25 lr: 4.6315213665955323e-05 loss: 0.1476 (0.1576) loss_seg: 0.1578 (0.1705) loss_lansim: 0.1024 (0.1036) loss_contra: 0.0008 (0.0311) time: 2.5314 data: 0.0025 max mem: 31654 Epoch: [3] [1390/5278] eta: 2:44:01 lr: 4.6313063963792605e-05 loss: 0.1488 (0.1575) loss_seg: 0.1578 (0.1704) loss_lansim: 0.1028 (0.1036) loss_contra: 0.0011 (0.0309) time: 2.5294 data: 0.0025 max mem: 31654 Epoch: [3] [1400/5278] eta: 2:43:35 lr: 4.631091425054292e-05 loss: 0.1488 (0.1574) loss_seg: 0.1578 (0.1704) loss_lansim: 0.1046 (0.1036) loss_contra: 0.0011 (0.0308) time: 2.5354 data: 0.0025 max mem: 31654 Epoch: [3] [1410/5278] eta: 2:43:12 lr: 4.630876452620563e-05 loss: 0.1457 (0.1573) loss_seg: 0.1570 (0.1702) loss_lansim: 0.1034 (0.1037) loss_contra: 0.0011 (0.0306) time: 2.5390 data: 0.0025 max mem: 31654 Epoch: [3] [1420/5278] eta: 2:42:47 lr: 4.630661479078012e-05 loss: 0.1476 (0.1575) loss_seg: 0.1578 (0.1704) loss_lansim: 0.1035 (0.1037) loss_contra: 0.0010 (0.0307) time: 2.5463 data: 0.0025 max mem: 31654 Epoch: [3] [1430/5278] eta: 2:42:26 lr: 4.630446504426576e-05 loss: 0.1436 (0.1574) loss_seg: 0.1578 (0.1704) loss_lansim: 0.1035 (0.1037) loss_contra: 0.0011 (0.0306) time: 2.5592 data: 0.0026 max mem: 31654 Epoch: [3] [1440/5278] eta: 2:42:01 lr: 4.63023152866619e-05 loss: 0.1436 (0.1574) loss_seg: 0.1565 (0.1704) loss_lansim: 0.1028 (0.1036) loss_contra: 0.0011 (0.0305) time: 2.5592 data: 0.0026 max mem: 31654 Epoch: [3] [1450/5278] eta: 2:41:34 lr: 4.630016551796794e-05 loss: 0.1436 (0.1573) loss_seg: 0.1520 (0.1702) loss_lansim: 0.1018 (0.1036) loss_contra: 0.0008 (0.0306) time: 2.5436 data: 0.0026 max mem: 31654 Epoch: [3] [1460/5278] eta: 2:41:06 lr: 4.629801573818323e-05 loss: 0.1457 (0.1572) loss_seg: 0.1515 (0.1701) loss_lansim: 0.1018 (0.1036) loss_contra: 0.0007 (0.0304) time: 2.5354 data: 0.0026 max mem: 31654 Epoch: [3] [1470/5278] eta: 2:40:40 lr: 4.629586594730715e-05 loss: 0.1457 (0.1572) loss_seg: 0.1520 (0.1700) loss_lansim: 0.1018 (0.1036) loss_contra: 0.0006 (0.0304) time: 2.5435 data: 0.0026 max mem: 31654 Epoch: [3] [1480/5278] eta: 2:40:17 lr: 4.629371614533906e-05 loss: 0.1488 (0.1574) loss_seg: 0.1600 (0.1703) loss_lansim: 0.1001 (0.1036) loss_contra: 0.0006 (0.0306) time: 2.5527 data: 0.0026 max mem: 31654 Epoch: [3] [1490/5278] eta: 2:39:53 lr: 4.629156633227835e-05 loss: 0.1499 (0.1575) loss_seg: 0.1622 (0.1704) loss_lansim: 0.1024 (0.1036) loss_contra: 0.0006 (0.0305) time: 2.5502 data: 0.0026 max mem: 31654 Epoch: [3] [1500/5278] eta: 2:39:26 lr: 4.628941650812437e-05 loss: 0.1457 (0.1574) loss_seg: 0.1582 (0.1703) loss_lansim: 0.0976 (0.1035) loss_contra: 0.0006 (0.0304) time: 2.5476 data: 0.0026 max mem: 31654 Epoch: [3] [1510/5278] eta: 2:39:00 lr: 4.6287266672876495e-05 loss: 0.1499 (0.1573) loss_seg: 0.1600 (0.1702) loss_lansim: 0.0934 (0.1034) loss_contra: 0.0007 (0.0303) time: 2.5384 data: 0.0025 max mem: 31654 Epoch: [3] [1520/5278] eta: 2:38:35 lr: 4.628511682653411e-05 loss: 0.1422 (0.1573) loss_seg: 0.1567 (0.1702) loss_lansim: 0.0948 (0.1034) loss_contra: 0.0007 (0.0302) time: 2.5396 data: 0.0025 max mem: 31654 Epoch: [3] [1530/5278] eta: 2:38:10 lr: 4.6282966969096566e-05 loss: 0.1454 (0.1573) loss_seg: 0.1578 (0.1703) loss_lansim: 0.0948 (0.1034) loss_contra: 0.0009 (0.0301) time: 2.5228 data: 0.0025 max mem: 31654 Epoch: [3] [1540/5278] eta: 2:37:46 lr: 4.628081710056325e-05 loss: 0.1377 (0.1571) loss_seg: 0.1533 (0.1700) loss_lansim: 0.0933 (0.1033) loss_contra: 0.0009 (0.0307) time: 2.5240 data: 0.0025 max mem: 31654 Epoch: [3] [1550/5278] eta: 2:37:21 lr: 4.627866722093351e-05 loss: 0.1402 (0.1572) loss_seg: 0.1533 (0.1701) loss_lansim: 0.0943 (0.1033) loss_contra: 0.0011 (0.0308) time: 2.5320 data: 0.0025 max mem: 31654 Epoch: [3] [1560/5278] eta: 2:36:54 lr: 4.6276517330206744e-05 loss: 0.1366 (0.1570) loss_seg: 0.1512 (0.1698) loss_lansim: 0.0943 (0.1032) loss_contra: 0.0015 (0.0308) time: 2.5370 data: 0.0025 max mem: 31654 Epoch: [3] [1570/5278] eta: 2:36:29 lr: 4.62743674283823e-05 loss: 0.1336 (0.1570) loss_seg: 0.1467 (0.1698) loss_lansim: 0.0933 (0.1031) loss_contra: 0.0017 (0.0307) time: 2.5420 data: 0.0025 max mem: 31654 Epoch: [3] [1580/5278] eta: 2:36:03 lr: 4.627221751545955e-05 loss: 0.1289 (0.1571) loss_seg: 0.1433 (0.1700) loss_lansim: 0.0932 (0.1031) loss_contra: 0.0018 (0.0311) time: 2.5284 data: 0.0025 max mem: 31654 Epoch: [3] [1590/5278] eta: 2:35:36 lr: 4.627006759143787e-05 loss: 0.1288 (0.1572) loss_seg: 0.1404 (0.1700) loss_lansim: 0.0932 (0.1031) loss_contra: 0.0018 (0.0309) time: 2.5199 data: 0.0025 max mem: 31654 Epoch: [3] [1600/5278] eta: 2:35:13 lr: 4.626791765631664e-05 loss: 0.1293 (0.1572) loss_seg: 0.1419 (0.1701) loss_lansim: 0.0933 (0.1031) loss_contra: 0.0019 (0.0309) time: 2.5304 data: 0.0026 max mem: 31654 Epoch: [3] [1610/5278] eta: 2:34:46 lr: 4.626576771009521e-05 loss: 0.1296 (0.1571) loss_seg: 0.1438 (0.1700) loss_lansim: 0.0933 (0.1030) loss_contra: 0.0019 (0.0309) time: 2.5262 data: 0.0026 max mem: 31654 Epoch: [3] [1620/5278] eta: 2:34:20 lr: 4.626361775277296e-05 loss: 0.1335 (0.1571) loss_seg: 0.1485 (0.1700) loss_lansim: 0.0939 (0.1030) loss_contra: 0.0019 (0.0309) time: 2.5231 data: 0.0025 max mem: 31654 Epoch: [3] [1630/5278] eta: 2:33:55 lr: 4.626146778434925e-05 loss: 0.1325 (0.1569) loss_seg: 0.1467 (0.1699) loss_lansim: 0.0932 (0.1030) loss_contra: 0.0017 (0.0308) time: 2.5228 data: 0.0025 max mem: 31654 Epoch: [3] [1640/5278] eta: 2:33:30 lr: 4.6259317804823465e-05 loss: 0.1371 (0.1573) loss_seg: 0.1527 (0.1703) loss_lansim: 0.0948 (0.1030) loss_contra: 0.0020 (0.0307) time: 2.5218 data: 0.0025 max mem: 31654 Epoch: [3] [1650/5278] eta: 2:33:06 lr: 4.625716781419496e-05 loss: 0.1371 (0.1573) loss_seg: 0.1527 (0.1703) loss_lansim: 0.0947 (0.1029) loss_contra: 0.0022 (0.0306) time: 2.5256 data: 0.0025 max mem: 31654 Epoch: [3] [1660/5278] eta: 2:32:40 lr: 4.625501781246312e-05 loss: 0.1431 (0.1575) loss_seg: 0.1589 (0.1704) loss_lansim: 0.0948 (0.1030) loss_contra: 0.0023 (0.0306) time: 2.5271 data: 0.0025 max mem: 31654 Epoch: [3] [1670/5278] eta: 2:32:13 lr: 4.6252867799627293e-05 loss: 0.1427 (0.1574) loss_seg: 0.1546 (0.1704) loss_lansim: 0.0987 (0.1030) loss_contra: 0.0023 (0.0307) time: 2.5195 data: 0.0025 max mem: 31654 Epoch: [3] [1680/5278] eta: 2:31:49 lr: 4.625071777568686e-05 loss: 0.1420 (0.1572) loss_seg: 0.1527 (0.1702) loss_lansim: 0.0989 (0.1030) loss_contra: 0.0022 (0.0307) time: 2.5276 data: 0.0025 max mem: 31654 Epoch: [3] [1690/5278] eta: 2:31:23 lr: 4.62485677406412e-05 loss: 0.1420 (0.1572) loss_seg: 0.1527 (0.1701) loss_lansim: 0.0978 (0.1030) loss_contra: 0.0022 (0.0307) time: 2.5321 data: 0.0025 max mem: 31654 Epoch: [3] [1700/5278] eta: 2:30:57 lr: 4.6246417694489664e-05 loss: 0.1424 (0.1572) loss_seg: 0.1532 (0.1702) loss_lansim: 0.0989 (0.1030) loss_contra: 0.0019 (0.0305) time: 2.5201 data: 0.0025 max mem: 31654 Epoch: [3] [1710/5278] eta: 2:30:33 lr: 4.6244267637231624e-05 loss: 0.1420 (0.1575) loss_seg: 0.1532 (0.1704) loss_lansim: 0.0998 (0.1030) loss_contra: 0.0018 (0.0304) time: 2.5346 data: 0.0025 max mem: 31654 Epoch: [3] [1720/5278] eta: 2:30:06 lr: 4.624211756886647e-05 loss: 0.1431 (0.1576) loss_seg: 0.1527 (0.1704) loss_lansim: 0.0997 (0.1030) loss_contra: 0.0020 (0.0302) time: 2.5271 data: 0.0025 max mem: 31654 Epoch: [3] [1730/5278] eta: 2:29:40 lr: 4.623996748939354e-05 loss: 0.1431 (0.1576) loss_seg: 0.1521 (0.1704) loss_lansim: 0.1022 (0.1031) loss_contra: 0.0019 (0.0301) time: 2.5206 data: 0.0025 max mem: 31654 Epoch: [3] [1740/5278] eta: 2:29:16 lr: 4.6237817398812215e-05 loss: 0.1424 (0.1576) loss_seg: 0.1514 (0.1705) loss_lansim: 0.1022 (0.1031) loss_contra: 0.0016 (0.0304) time: 2.5243 data: 0.0025 max mem: 31654 Epoch: [3] [1750/5278] eta: 2:28:50 lr: 4.623566729712187e-05 loss: 0.1422 (0.1575) loss_seg: 0.1478 (0.1704) loss_lansim: 0.1002 (0.1030) loss_contra: 0.0014 (0.0302) time: 2.5174 data: 0.0025 max mem: 31654 Epoch: [3] [1760/5278] eta: 2:28:27 lr: 4.6233517184321874e-05 loss: 0.1440 (0.1578) loss_seg: 0.1493 (0.1707) loss_lansim: 0.1002 (0.1030) loss_contra: 0.0014 (0.0301) time: 2.5315 data: 0.0025 max mem: 31654 Epoch: [3] [1770/5278] eta: 2:28:00 lr: 4.6231367060411585e-05 loss: 0.1446 (0.1578) loss_seg: 0.1565 (0.1707) loss_lansim: 0.1001 (0.1030) loss_contra: 0.0015 (0.0300) time: 2.5311 data: 0.0025 max mem: 31654 Epoch: [3] [1780/5278] eta: 2:27:35 lr: 4.622921692539038e-05 loss: 0.1475 (0.1578) loss_seg: 0.1595 (0.1707) loss_lansim: 0.1001 (0.1030) loss_contra: 0.0016 (0.0299) time: 2.5303 data: 0.0025 max mem: 31654 Epoch: [3] [1790/5278] eta: 2:27:12 lr: 4.6227066779257616e-05 loss: 0.1456 (0.1577) loss_seg: 0.1594 (0.1706) loss_lansim: 0.0998 (0.1029) loss_contra: 0.0015 (0.0298) time: 2.5404 data: 0.0025 max mem: 31654 Epoch: [3] [1800/5278] eta: 2:26:46 lr: 4.622491662201268e-05 loss: 0.1501 (0.1580) loss_seg: 0.1620 (0.1709) loss_lansim: 0.1011 (0.1030) loss_contra: 0.0015 (0.0297) time: 2.5441 data: 0.0025 max mem: 31654 Epoch: [3] [1810/5278] eta: 2:26:20 lr: 4.622276645365492e-05 loss: 0.1522 (0.1582) loss_seg: 0.1659 (0.1711) loss_lansim: 0.1001 (0.1030) loss_contra: 0.0015 (0.0296) time: 2.5337 data: 0.0025 max mem: 31654 Epoch: [3] [1820/5278] eta: 2:25:55 lr: 4.6220616274183724e-05 loss: 0.1522 (0.1582) loss_seg: 0.1668 (0.1711) loss_lansim: 0.1001 (0.1029) loss_contra: 0.0011 (0.0295) time: 2.5441 data: 0.0025 max mem: 31654 Epoch: [3] [1830/5278] eta: 2:25:32 lr: 4.621846608359845e-05 loss: 0.1501 (0.1582) loss_seg: 0.1656 (0.1711) loss_lansim: 0.0998 (0.1030) loss_contra: 0.0011 (0.0293) time: 2.5597 data: 0.0025 max mem: 31654 Epoch: [3] [1840/5278] eta: 2:25:09 lr: 4.6216315881898464e-05 loss: 0.1501 (0.1581) loss_seg: 0.1659 (0.1710) loss_lansim: 0.0990 (0.1030) loss_contra: 0.0009 (0.0292) time: 2.5646 data: 0.0025 max mem: 31654 Epoch: [3] [1850/5278] eta: 2:24:44 lr: 4.6214165669083136e-05 loss: 0.1565 (0.1583) loss_seg: 0.1699 (0.1713) loss_lansim: 0.0990 (0.1030) loss_contra: 0.0010 (0.0292) time: 2.5682 data: 0.0025 max mem: 31654 Epoch: [3] [1860/5278] eta: 2:24:16 lr: 4.6212015445151835e-05 loss: 0.1522 (0.1582) loss_seg: 0.1659 (0.1711) loss_lansim: 0.0988 (0.1029) loss_contra: 0.0009 (0.0291) time: 2.5471 data: 0.0025 max mem: 31654 Epoch: [3] [1870/5278] eta: 2:23:52 lr: 4.6209865210103924e-05 loss: 0.1501 (0.1581) loss_seg: 0.1656 (0.1711) loss_lansim: 0.0986 (0.1029) loss_contra: 0.0009 (0.0291) time: 2.5622 data: 0.0025 max mem: 31654 Epoch: [3] [1880/5278] eta: 2:23:27 lr: 4.620771496393878e-05 loss: 0.1522 (0.1582) loss_seg: 0.1656 (0.1711) loss_lansim: 0.0986 (0.1029) loss_contra: 0.0007 (0.0290) time: 2.5577 data: 0.0025 max mem: 31654 Epoch: [3] [1890/5278] eta: 2:23:01 lr: 4.620556470665577e-05 loss: 0.1526 (0.1580) loss_seg: 0.1659 (0.1710) loss_lansim: 0.0990 (0.1029) loss_contra: 0.0007 (0.0289) time: 2.5448 data: 0.0025 max mem: 31654 Epoch: [3] [1900/5278] eta: 2:22:35 lr: 4.620341443825425e-05 loss: 0.1464 (0.1580) loss_seg: 0.1581 (0.1709) loss_lansim: 0.0986 (0.1028) loss_contra: 0.0006 (0.0288) time: 2.5453 data: 0.0025 max mem: 31654 Epoch: [3] [1910/5278] eta: 2:22:09 lr: 4.620126415873359e-05 loss: 0.1446 (0.1580) loss_seg: 0.1551 (0.1709) loss_lansim: 0.0986 (0.1028) loss_contra: 0.0005 (0.0287) time: 2.5446 data: 0.0025 max mem: 31654 Epoch: [3] [1920/5278] eta: 2:21:45 lr: 4.6199113868093166e-05 loss: 0.1446 (0.1580) loss_seg: 0.1534 (0.1709) loss_lansim: 0.0985 (0.1028) loss_contra: 0.0008 (0.0291) time: 2.5499 data: 0.0025 max mem: 31654 Epoch: [3] [1930/5278] eta: 2:21:19 lr: 4.619696356633235e-05 loss: 0.1457 (0.1579) loss_seg: 0.1551 (0.1708) loss_lansim: 0.0986 (0.1028) loss_contra: 0.0008 (0.0296) time: 2.5358 data: 0.0025 max mem: 31654 Epoch: [3] [1940/5278] eta: 2:20:54 lr: 4.6194813253450495e-05 loss: 0.1421 (0.1578) loss_seg: 0.1505 (0.1707) loss_lansim: 0.0985 (0.1028) loss_contra: 0.0009 (0.0294) time: 2.5260 data: 0.0026 max mem: 31654 Epoch: [3] [1950/5278] eta: 2:20:27 lr: 4.6192662929446975e-05 loss: 0.1376 (0.1577) loss_seg: 0.1478 (0.1705) loss_lansim: 0.0985 (0.1028) loss_contra: 0.0018 (0.0296) time: 2.5162 data: 0.0026 max mem: 31654 Epoch: [3] [1960/5278] eta: 2:20:02 lr: 4.619051259432116e-05 loss: 0.1331 (0.1574) loss_seg: 0.1451 (0.1703) loss_lansim: 0.0974 (0.1027) loss_contra: 0.0025 (0.0295) time: 2.5282 data: 0.0026 max mem: 31654 Epoch: [3] [1970/5278] eta: 2:19:37 lr: 4.618836224807241e-05 loss: 0.1313 (0.1573) loss_seg: 0.1445 (0.1702) loss_lansim: 0.0966 (0.1026) loss_contra: 0.0018 (0.0294) time: 2.5217 data: 0.0026 max mem: 31654 Epoch: [3] [1980/5278] eta: 2:19:12 lr: 4.6186211890700096e-05 loss: 0.1226 (0.1573) loss_seg: 0.1344 (0.1701) loss_lansim: 0.0954 (0.1026) loss_contra: 0.0016 (0.0293) time: 2.5214 data: 0.0026 max mem: 31654 Epoch: [3] [1990/5278] eta: 2:18:47 lr: 4.618406152220358e-05 loss: 0.1337 (0.1574) loss_seg: 0.1377 (0.1702) loss_lansim: 0.0952 (0.1026) loss_contra: 0.0016 (0.0292) time: 2.5278 data: 0.0026 max mem: 31654 Epoch: [3] [2000/5278] eta: 2:18:22 lr: 4.618191114258224e-05 loss: 0.1337 (0.1574) loss_seg: 0.1377 (0.1702) loss_lansim: 0.0947 (0.1025) loss_contra: 0.0023 (0.0295) time: 2.5338 data: 0.0026 max mem: 31654 Epoch: [3] [2010/5278] eta: 2:17:56 lr: 4.6179760751835435e-05 loss: 0.1337 (0.1574) loss_seg: 0.1377 (0.1702) loss_lansim: 0.0938 (0.1024) loss_contra: 0.0026 (0.0295) time: 2.5340 data: 0.0026 max mem: 31654 Epoch: [3] [2020/5278] eta: 2:17:31 lr: 4.617761034996253e-05 loss: 0.1230 (0.1572) loss_seg: 0.1330 (0.1700) loss_lansim: 0.0932 (0.1024) loss_contra: 0.0023 (0.0295) time: 2.5299 data: 0.0026 max mem: 31654 Epoch: [3] [2030/5278] eta: 2:17:06 lr: 4.61754599369629e-05 loss: 0.1339 (0.1574) loss_seg: 0.1445 (0.1702) loss_lansim: 0.0932 (0.1024) loss_contra: 0.0020 (0.0295) time: 2.5326 data: 0.0026 max mem: 31654 Epoch: [3] [2040/5278] eta: 2:16:40 lr: 4.617330951283591e-05 loss: 0.1389 (0.1575) loss_seg: 0.1533 (0.1703) loss_lansim: 0.0938 (0.1024) loss_contra: 0.0019 (0.0294) time: 2.5303 data: 0.0026 max mem: 31654 Epoch: [3] [2050/5278] eta: 2:16:16 lr: 4.617115907758092e-05 loss: 0.1395 (0.1577) loss_seg: 0.1550 (0.1705) loss_lansim: 0.0945 (0.1024) loss_contra: 0.0014 (0.0294) time: 2.5471 data: 0.0026 max mem: 31654 Epoch: [3] [2060/5278] eta: 2:15:52 lr: 4.616900863119729e-05 loss: 0.1483 (0.1575) loss_seg: 0.1605 (0.1703) loss_lansim: 0.0997 (0.1025) loss_contra: 0.0013 (0.0295) time: 2.5492 data: 0.0026 max mem: 31654 Epoch: [3] [2070/5278] eta: 2:15:27 lr: 4.616685817368441e-05 loss: 0.1510 (0.1576) loss_seg: 0.1651 (0.1705) loss_lansim: 0.1009 (0.1025) loss_contra: 0.0014 (0.0294) time: 2.5512 data: 0.0026 max mem: 31654 Epoch: [3] [2080/5278] eta: 2:15:01 lr: 4.6164707705041624e-05 loss: 0.1510 (0.1577) loss_seg: 0.1664 (0.1706) loss_lansim: 0.1015 (0.1026) loss_contra: 0.0011 (0.0293) time: 2.5506 data: 0.0026 max mem: 31654 Epoch: [3] [2090/5278] eta: 2:14:35 lr: 4.616255722526831e-05 loss: 0.1499 (0.1577) loss_seg: 0.1651 (0.1706) loss_lansim: 0.1032 (0.1026) loss_contra: 0.0010 (0.0293) time: 2.5422 data: 0.0026 max mem: 31654 Epoch: [3] [2100/5278] eta: 2:14:09 lr: 4.616040673436384e-05 loss: 0.1495 (0.1577) loss_seg: 0.1625 (0.1706) loss_lansim: 0.1015 (0.1025) loss_contra: 0.0011 (0.0293) time: 2.5347 data: 0.0026 max mem: 31654 Epoch: [3] [2110/5278] eta: 2:13:44 lr: 4.6158256232327566e-05 loss: 0.1483 (0.1575) loss_seg: 0.1624 (0.1704) loss_lansim: 0.1015 (0.1025) loss_contra: 0.0011 (0.0291) time: 2.5361 data: 0.0026 max mem: 31654 Epoch: [3] [2120/5278] eta: 2:13:19 lr: 4.6156105719158854e-05 loss: 0.1483 (0.1574) loss_seg: 0.1625 (0.1703) loss_lansim: 0.1018 (0.1025) loss_contra: 0.0011 (0.0291) time: 2.5376 data: 0.0026 max mem: 31654 Epoch: [3] [2130/5278] eta: 2:12:54 lr: 4.615395519485707e-05 loss: 0.1473 (0.1576) loss_seg: 0.1624 (0.1705) loss_lansim: 0.1018 (0.1025) loss_contra: 0.0011 (0.0290) time: 2.5447 data: 0.0026 max mem: 31654 Epoch: [3] [2140/5278] eta: 2:12:29 lr: 4.6151804659421606e-05 loss: 0.1460 (0.1577) loss_seg: 0.1596 (0.1706) loss_lansim: 0.1029 (0.1025) loss_contra: 0.0010 (0.0289) time: 2.5443 data: 0.0026 max mem: 31654 Epoch: [3] [2150/5278] eta: 2:12:03 lr: 4.6149654112851796e-05 loss: 0.1473 (0.1580) loss_seg: 0.1596 (0.1710) loss_lansim: 0.1029 (0.1025) loss_contra: 0.0008 (0.0288) time: 2.5361 data: 0.0026 max mem: 31654 Epoch: [3] [2160/5278] eta: 2:11:39 lr: 4.614750355514701e-05 loss: 0.1473 (0.1580) loss_seg: 0.1596 (0.1709) loss_lansim: 0.1004 (0.1025) loss_contra: 0.0008 (0.0288) time: 2.5348 data: 0.0025 max mem: 31654 Epoch: [3] [2170/5278] eta: 2:11:12 lr: 4.6145352986306633e-05 loss: 0.1425 (0.1580) loss_seg: 0.1547 (0.1710) loss_lansim: 0.1018 (0.1026) loss_contra: 0.0008 (0.0288) time: 2.5273 data: 0.0025 max mem: 31654 Epoch: [3] [2180/5278] eta: 2:10:48 lr: 4.614320240633002e-05 loss: 0.1397 (0.1579) loss_seg: 0.1481 (0.1708) loss_lansim: 0.1004 (0.1026) loss_contra: 0.0013 (0.0289) time: 2.5334 data: 0.0025 max mem: 31654 Epoch: [3] [2190/5278] eta: 2:10:22 lr: 4.614105181521654e-05 loss: 0.1425 (0.1579) loss_seg: 0.1547 (0.1708) loss_lansim: 0.1004 (0.1026) loss_contra: 0.0013 (0.0288) time: 2.5340 data: 0.0025 max mem: 31654 Epoch: [3] [2200/5278] eta: 2:09:55 lr: 4.613890121296554e-05 loss: 0.1405 (0.1578) loss_seg: 0.1530 (0.1707) loss_lansim: 0.1004 (0.1026) loss_contra: 0.0013 (0.0287) time: 2.5278 data: 0.0025 max mem: 31654 Epoch: [3] [2210/5278] eta: 2:09:29 lr: 4.6136750599576404e-05 loss: 0.1482 (0.1579) loss_seg: 0.1561 (0.1708) loss_lansim: 0.1000 (0.1025) loss_contra: 0.0012 (0.0291) time: 2.5258 data: 0.0025 max mem: 31654 Epoch: [3] [2220/5278] eta: 2:09:04 lr: 4.61345999750485e-05 loss: 0.1490 (0.1579) loss_seg: 0.1587 (0.1709) loss_lansim: 0.1009 (0.1025) loss_contra: 0.0010 (0.0292) time: 2.5225 data: 0.0025 max mem: 31654 Epoch: [3] [2230/5278] eta: 2:08:39 lr: 4.613244933938118e-05 loss: 0.1490 (0.1581) loss_seg: 0.1587 (0.1711) loss_lansim: 0.1009 (0.1025) loss_contra: 0.0010 (0.0292) time: 2.5195 data: 0.0025 max mem: 31654 Epoch: [3] [2240/5278] eta: 2:08:14 lr: 4.6130298692573815e-05 loss: 0.1530 (0.1584) loss_seg: 0.1608 (0.1714) loss_lansim: 0.1015 (0.1026) loss_contra: 0.0011 (0.0291) time: 2.5226 data: 0.0025 max mem: 31654 Epoch: [3] [2250/5278] eta: 2:07:50 lr: 4.6128148034625766e-05 loss: 0.1446 (0.1583) loss_seg: 0.1587 (0.1713) loss_lansim: 0.1011 (0.1026) loss_contra: 0.0011 (0.0291) time: 2.5305 data: 0.0025 max mem: 31654 Epoch: [3] [2260/5278] eta: 2:07:24 lr: 4.6125997365536415e-05 loss: 0.1482 (0.1583) loss_seg: 0.1593 (0.1713) loss_lansim: 0.1011 (0.1026) loss_contra: 0.0013 (0.0289) time: 2.5241 data: 0.0026 max mem: 31654 Epoch: [3] [2270/5278] eta: 2:06:59 lr: 4.612384668530511e-05 loss: 0.1489 (0.1584) loss_seg: 0.1593 (0.1714) loss_lansim: 0.1011 (0.1026) loss_contra: 0.0013 (0.0289) time: 2.5311 data: 0.0026 max mem: 31654 Epoch: [3] [2280/5278] eta: 2:06:34 lr: 4.6121695993931224e-05 loss: 0.1587 (0.1585) loss_seg: 0.1669 (0.1716) loss_lansim: 0.1006 (0.1026) loss_contra: 0.0019 (0.0290) time: 2.5289 data: 0.0026 max mem: 31654 Epoch: [3] [2290/5278] eta: 2:06:09 lr: 4.611954529141411e-05 loss: 0.1633 (0.1588) loss_seg: 0.1766 (0.1718) loss_lansim: 0.1001 (0.1026) loss_contra: 0.0016 (0.0291) time: 2.5348 data: 0.0026 max mem: 31654 Epoch: [3] [2300/5278] eta: 2:05:43 lr: 4.6117394577753154e-05 loss: 0.1587 (0.1586) loss_seg: 0.1761 (0.1716) loss_lansim: 0.1015 (0.1026) loss_contra: 0.0010 (0.0290) time: 2.5403 data: 0.0026 max mem: 31654 Epoch: [3] [2310/5278] eta: 2:05:18 lr: 4.61152438529477e-05 loss: 0.1566 (0.1585) loss_seg: 0.1743 (0.1715) loss_lansim: 0.1024 (0.1026) loss_contra: 0.0011 (0.0289) time: 2.5451 data: 0.0026 max mem: 31654 Epoch: [3] [2320/5278] eta: 2:04:52 lr: 4.611309311699713e-05 loss: 0.1489 (0.1584) loss_seg: 0.1657 (0.1714) loss_lansim: 0.1037 (0.1026) loss_contra: 0.0011 (0.0289) time: 2.5405 data: 0.0026 max mem: 31654 Epoch: [3] [2330/5278] eta: 2:04:26 lr: 4.611094236990079e-05 loss: 0.1408 (0.1583) loss_seg: 0.1564 (0.1713) loss_lansim: 0.1037 (0.1026) loss_contra: 0.0011 (0.0289) time: 2.5358 data: 0.0025 max mem: 31654 Epoch: [3] [2340/5278] eta: 2:04:01 lr: 4.6108791611658067e-05 loss: 0.1376 (0.1583) loss_seg: 0.1523 (0.1713) loss_lansim: 0.1001 (0.1026) loss_contra: 0.0011 (0.0288) time: 2.5315 data: 0.0025 max mem: 31654 Epoch: [3] [2350/5278] eta: 2:03:35 lr: 4.6106640842268305e-05 loss: 0.1416 (0.1584) loss_seg: 0.1564 (0.1714) loss_lansim: 0.1001 (0.1026) loss_contra: 0.0011 (0.0288) time: 2.5246 data: 0.0025 max mem: 31654 Epoch: [3] [2360/5278] eta: 2:03:10 lr: 4.610449006173088e-05 loss: 0.1416 (0.1583) loss_seg: 0.1551 (0.1713) loss_lansim: 0.1001 (0.1026) loss_contra: 0.0010 (0.0287) time: 2.5270 data: 0.0025 max mem: 31654 Epoch: [3] [2370/5278] eta: 2:02:45 lr: 4.610233927004515e-05 loss: 0.1370 (0.1583) loss_seg: 0.1496 (0.1713) loss_lansim: 0.0988 (0.1025) loss_contra: 0.0009 (0.0286) time: 2.5268 data: 0.0025 max mem: 31654 Epoch: [3] [2380/5278] eta: 2:02:20 lr: 4.610018846721048e-05 loss: 0.1295 (0.1581) loss_seg: 0.1435 (0.1711) loss_lansim: 0.0986 (0.1025) loss_contra: 0.0009 (0.0287) time: 2.5237 data: 0.0025 max mem: 31654 Epoch: [3] [2390/5278] eta: 2:01:54 lr: 4.609803765322625e-05 loss: 0.1294 (0.1583) loss_seg: 0.1434 (0.1712) loss_lansim: 0.0976 (0.1025) loss_contra: 0.0010 (0.0286) time: 2.5233 data: 0.0025 max mem: 31654 Epoch: [3] [2400/5278] eta: 2:01:29 lr: 4.60958868280918e-05 loss: 0.1300 (0.1582) loss_seg: 0.1443 (0.1712) loss_lansim: 0.0952 (0.1024) loss_contra: 0.0012 (0.0287) time: 2.5247 data: 0.0025 max mem: 31654 Epoch: [3] [2410/5278] eta: 2:01:03 lr: 4.609373599180651e-05 loss: 0.1364 (0.1583) loss_seg: 0.1480 (0.1712) loss_lansim: 0.0939 (0.1024) loss_contra: 0.0013 (0.0289) time: 2.5230 data: 0.0025 max mem: 31654 Epoch: [3] [2420/5278] eta: 2:00:37 lr: 4.609158514436973e-05 loss: 0.1419 (0.1584) loss_seg: 0.1535 (0.1714) loss_lansim: 0.0922 (0.1024) loss_contra: 0.0013 (0.0289) time: 2.5198 data: 0.0025 max mem: 31654 Epoch: [3] [2430/5278] eta: 2:00:12 lr: 4.6089434285780845e-05 loss: 0.1420 (0.1583) loss_seg: 0.1551 (0.1713) loss_lansim: 0.0904 (0.1023) loss_contra: 0.0015 (0.0290) time: 2.5246 data: 0.0025 max mem: 31654 Epoch: [3] [2440/5278] eta: 1:59:47 lr: 4.60872834160392e-05 loss: 0.1423 (0.1585) loss_seg: 0.1578 (0.1715) loss_lansim: 0.0916 (0.1024) loss_contra: 0.0015 (0.0296) time: 2.5297 data: 0.0026 max mem: 31654 Epoch: [3] [2450/5278] eta: 1:59:21 lr: 4.6085132535144165e-05 loss: 0.1419 (0.1585) loss_seg: 0.1521 (0.1715) loss_lansim: 0.0916 (0.1024) loss_contra: 0.0015 (0.0295) time: 2.5264 data: 0.0026 max mem: 31654 Epoch: [3] [2460/5278] eta: 1:58:56 lr: 4.608298164309511e-05 loss: 0.1468 (0.1586) loss_seg: 0.1578 (0.1716) loss_lansim: 0.0951 (0.1024) loss_contra: 0.0028 (0.0295) time: 2.5262 data: 0.0026 max mem: 31654 Epoch: [3] [2470/5278] eta: 1:58:31 lr: 4.6080830739891394e-05 loss: 0.1480 (0.1585) loss_seg: 0.1602 (0.1716) loss_lansim: 0.0977 (0.1024) loss_contra: 0.0038 (0.0294) time: 2.5257 data: 0.0026 max mem: 31654 Epoch: [3] [2480/5278] eta: 1:58:04 lr: 4.607867982553237e-05 loss: 0.1524 (0.1586) loss_seg: 0.1654 (0.1717) loss_lansim: 0.0963 (0.1024) loss_contra: 0.0027 (0.0294) time: 2.5170 data: 0.0026 max mem: 31654 Epoch: [3] [2490/5278] eta: 1:57:39 lr: 4.607652890001742e-05 loss: 0.1480 (0.1586) loss_seg: 0.1607 (0.1717) loss_lansim: 0.0957 (0.1023) loss_contra: 0.0032 (0.0293) time: 2.5190 data: 0.0026 max mem: 31654 Epoch: [3] [2500/5278] eta: 1:57:14 lr: 4.6074377963345896e-05 loss: 0.1480 (0.1585) loss_seg: 0.1607 (0.1716) loss_lansim: 0.0940 (0.1023) loss_contra: 0.0028 (0.0292) time: 2.5169 data: 0.0026 max mem: 31654 Epoch: [3] [2510/5278] eta: 1:56:48 lr: 4.6072227015517166e-05 loss: 0.1524 (0.1586) loss_seg: 0.1634 (0.1716) loss_lansim: 0.0939 (0.1022) loss_contra: 0.0028 (0.0292) time: 2.5192 data: 0.0026 max mem: 31654 Epoch: [3] [2520/5278] eta: 1:56:23 lr: 4.60700760565306e-05 loss: 0.1546 (0.1587) loss_seg: 0.1709 (0.1718) loss_lansim: 0.0951 (0.1022) loss_contra: 0.0030 (0.0293) time: 2.5243 data: 0.0026 max mem: 31654 Epoch: [3] [2530/5278] eta: 1:55:58 lr: 4.6067925086385544e-05 loss: 0.1537 (0.1586) loss_seg: 0.1709 (0.1717) loss_lansim: 0.0951 (0.1021) loss_contra: 0.0016 (0.0292) time: 2.5267 data: 0.0026 max mem: 31654 Epoch: [3] [2540/5278] eta: 1:55:32 lr: 4.606577410508137e-05 loss: 0.1546 (0.1588) loss_seg: 0.1720 (0.1719) loss_lansim: 0.0939 (0.1021) loss_contra: 0.0018 (0.0291) time: 2.5211 data: 0.0026 max mem: 31654 Epoch: [3] [2550/5278] eta: 1:55:07 lr: 4.606362311261744e-05 loss: 0.1537 (0.1588) loss_seg: 0.1713 (0.1719) loss_lansim: 0.0933 (0.1021) loss_contra: 0.0016 (0.0290) time: 2.5191 data: 0.0026 max mem: 31654 Epoch: [3] [2560/5278] eta: 1:54:41 lr: 4.6061472108993126e-05 loss: 0.1515 (0.1587) loss_seg: 0.1691 (0.1718) loss_lansim: 0.0911 (0.1021) loss_contra: 0.0013 (0.0289) time: 2.5161 data: 0.0026 max mem: 31654 Epoch: [3] [2570/5278] eta: 1:54:16 lr: 4.6059321094207776e-05 loss: 0.1537 (0.1589) loss_seg: 0.1713 (0.1719) loss_lansim: 0.0930 (0.1021) loss_contra: 0.0009 (0.0288) time: 2.5140 data: 0.0025 max mem: 31654 Epoch: [3] [2580/5278] eta: 1:53:49 lr: 4.605717006826076e-05 loss: 0.1537 (0.1590) loss_seg: 0.1711 (0.1721) loss_lansim: 0.0916 (0.1020) loss_contra: 0.0008 (0.0287) time: 2.5138 data: 0.0025 max mem: 31654 Epoch: [3] [2590/5278] eta: 1:53:24 lr: 4.605501903115145e-05 loss: 0.1583 (0.1590) loss_seg: 0.1757 (0.1721) loss_lansim: 0.0933 (0.1020) loss_contra: 0.0008 (0.0287) time: 2.5135 data: 0.0025 max mem: 31654 Epoch: [3] [2600/5278] eta: 1:52:58 lr: 4.6052867982879194e-05 loss: 0.1586 (0.1590) loss_seg: 0.1761 (0.1721) loss_lansim: 0.0963 (0.1020) loss_contra: 0.0008 (0.0286) time: 2.5071 data: 0.0025 max mem: 31654 Epoch: [3] [2610/5278] eta: 1:52:32 lr: 4.605071692344336e-05 loss: 0.1586 (0.1591) loss_seg: 0.1761 (0.1722) loss_lansim: 0.1001 (0.1020) loss_contra: 0.0008 (0.0287) time: 2.5038 data: 0.0026 max mem: 31654 Epoch: [3] [2620/5278] eta: 1:52:07 lr: 4.604856585284331e-05 loss: 0.1578 (0.1593) loss_seg: 0.1736 (0.1723) loss_lansim: 0.1001 (0.1020) loss_contra: 0.0008 (0.0287) time: 2.5043 data: 0.0026 max mem: 31654 Epoch: [3] [2630/5278] eta: 1:51:41 lr: 4.604641477107842e-05 loss: 0.1583 (0.1593) loss_seg: 0.1757 (0.1723) loss_lansim: 0.1002 (0.1020) loss_contra: 0.0007 (0.0286) time: 2.4950 data: 0.0026 max mem: 31654 Epoch: [3] [2640/5278] eta: 1:51:16 lr: 4.604426367814803e-05 loss: 0.1528 (0.1592) loss_seg: 0.1695 (0.1722) loss_lansim: 0.0980 (0.1019) loss_contra: 0.0007 (0.0286) time: 2.4959 data: 0.0026 max mem: 31654 Epoch: [3] [2650/5278] eta: 1:50:51 lr: 4.604211257405152e-05 loss: 0.1528 (0.1591) loss_seg: 0.1695 (0.1722) loss_lansim: 0.0985 (0.1019) loss_contra: 0.0007 (0.0286) time: 2.5023 data: 0.0026 max mem: 31654 Epoch: [3] [2660/5278] eta: 1:50:24 lr: 4.603996145878823e-05 loss: 0.1524 (0.1590) loss_seg: 0.1545 (0.1721) loss_lansim: 0.0985 (0.1019) loss_contra: 0.0009 (0.0285) time: 2.4977 data: 0.0026 max mem: 31654 Epoch: [3] [2670/5278] eta: 1:49:58 lr: 4.603781033235755e-05 loss: 0.1375 (0.1590) loss_seg: 0.1525 (0.1720) loss_lansim: 0.0965 (0.1019) loss_contra: 0.0008 (0.0286) time: 2.4915 data: 0.0026 max mem: 31654 Epoch: [3] [2680/5278] eta: 1:49:33 lr: 4.603565919475883e-05 loss: 0.1406 (0.1591) loss_seg: 0.1525 (0.1721) loss_lansim: 0.0955 (0.1018) loss_contra: 0.0008 (0.0286) time: 2.4961 data: 0.0027 max mem: 31654 Epoch: [3] [2690/5278] eta: 1:49:07 lr: 4.603350804599144e-05 loss: 0.1380 (0.1592) loss_seg: 0.1521 (0.1722) loss_lansim: 0.0936 (0.1018) loss_contra: 0.0008 (0.0285) time: 2.4873 data: 0.0027 max mem: 31654 Epoch: [3] [2700/5278] eta: 1:48:42 lr: 4.603135688605472e-05 loss: 0.1375 (0.1591) loss_seg: 0.1476 (0.1721) loss_lansim: 0.0937 (0.1018) loss_contra: 0.0007 (0.0284) time: 2.4983 data: 0.0026 max mem: 31654 Epoch: [3] [2710/5278] eta: 1:48:16 lr: 4.602920571494805e-05 loss: 0.1400 (0.1592) loss_seg: 0.1525 (0.1722) loss_lansim: 0.0929 (0.1017) loss_contra: 0.0006 (0.0283) time: 2.4980 data: 0.0026 max mem: 31654 Epoch: [3] [2720/5278] eta: 1:47:50 lr: 4.60270545326708e-05 loss: 0.1380 (0.1592) loss_seg: 0.1476 (0.1721) loss_lansim: 0.0928 (0.1017) loss_contra: 0.0003 (0.0282) time: 2.4932 data: 0.0026 max mem: 31654 Epoch: [3] [2730/5278] eta: 1:47:25 lr: 4.6024903339222305e-05 loss: 0.1400 (0.1594) loss_seg: 0.1526 (0.1723) loss_lansim: 0.0928 (0.1017) loss_contra: 0.0006 (0.0282) time: 2.4991 data: 0.0026 max mem: 31654 Epoch: [3] [2740/5278] eta: 1:47:00 lr: 4.602275213460194e-05 loss: 0.1441 (0.1593) loss_seg: 0.1584 (0.1723) loss_lansim: 0.0932 (0.1017) loss_contra: 0.0007 (0.0281) time: 2.4988 data: 0.0026 max mem: 31654 Epoch: [3] [2750/5278] eta: 1:46:34 lr: 4.6020600918809074e-05 loss: 0.1452 (0.1593) loss_seg: 0.1604 (0.1723) loss_lansim: 0.0931 (0.1017) loss_contra: 0.0004 (0.0280) time: 2.4906 data: 0.0026 max mem: 31654 Epoch: [3] [2760/5278] eta: 1:46:09 lr: 4.6018449691843074e-05 loss: 0.1513 (0.1593) loss_seg: 0.1618 (0.1723) loss_lansim: 0.0931 (0.1017) loss_contra: 0.0004 (0.0279) time: 2.5001 data: 0.0025 max mem: 31654 Epoch: [3] [2770/5278] eta: 1:45:43 lr: 4.6016298453703274e-05 loss: 0.1535 (0.1595) loss_seg: 0.1619 (0.1725) loss_lansim: 0.0932 (0.1017) loss_contra: 0.0003 (0.0279) time: 2.5010 data: 0.0025 max mem: 31654 Epoch: [3] [2780/5278] eta: 1:45:18 lr: 4.601414720438906e-05 loss: 0.1513 (0.1596) loss_seg: 0.1618 (0.1726) loss_lansim: 0.0955 (0.1018) loss_contra: 0.0004 (0.0280) time: 2.5066 data: 0.0025 max mem: 31654 Epoch: [3] [2790/5278] eta: 1:44:53 lr: 4.60119959438998e-05 loss: 0.1513 (0.1597) loss_seg: 0.1618 (0.1727) loss_lansim: 0.0995 (0.1018) loss_contra: 0.0004 (0.0279) time: 2.5263 data: 0.0025 max mem: 31654 Epoch: [3] [2800/5278] eta: 1:44:29 lr: 4.600984467223482e-05 loss: 0.1580 (0.1597) loss_seg: 0.1709 (0.1727) loss_lansim: 0.0973 (0.1018) loss_contra: 0.0004 (0.0279) time: 2.5295 data: 0.0025 max mem: 31654 Epoch: [3] [2810/5278] eta: 1:44:04 lr: 4.600769338939351e-05 loss: 0.1497 (0.1596) loss_seg: 0.1619 (0.1726) loss_lansim: 0.0961 (0.1017) loss_contra: 0.0004 (0.0278) time: 2.5355 data: 0.0025 max mem: 31654 Epoch: [3] [2820/5278] eta: 1:43:38 lr: 4.600554209537523e-05 loss: 0.1513 (0.1598) loss_seg: 0.1619 (0.1728) loss_lansim: 0.1020 (0.1018) loss_contra: 0.0006 (0.0278) time: 2.5360 data: 0.0025 max mem: 31654 Epoch: [3] [2830/5278] eta: 1:43:12 lr: 4.600339079017933e-05 loss: 0.1479 (0.1598) loss_seg: 0.1537 (0.1727) loss_lansim: 0.1014 (0.1018) loss_contra: 0.0006 (0.0283) time: 2.5236 data: 0.0025 max mem: 31654 Epoch: [3] [2840/5278] eta: 1:42:46 lr: 4.600123947380518e-05 loss: 0.1479 (0.1597) loss_seg: 0.1537 (0.1727) loss_lansim: 0.1014 (0.1018) loss_contra: 0.0004 (0.0282) time: 2.5277 data: 0.0025 max mem: 31654 Epoch: [3] [2850/5278] eta: 1:42:21 lr: 4.5999088146252136e-05 loss: 0.1485 (0.1598) loss_seg: 0.1548 (0.1728) loss_lansim: 0.1050 (0.1018) loss_contra: 0.0006 (0.0282) time: 2.5341 data: 0.0025 max mem: 31654 Epoch: [3] [2860/5278] eta: 1:41:56 lr: 4.599693680751956e-05 loss: 0.1497 (0.1599) loss_seg: 0.1622 (0.1728) loss_lansim: 0.1057 (0.1019) loss_contra: 0.0007 (0.0282) time: 2.5288 data: 0.0026 max mem: 31654 Epoch: [3] [2870/5278] eta: 1:41:31 lr: 4.5994785457606807e-05 loss: 0.1480 (0.1598) loss_seg: 0.1531 (0.1727) loss_lansim: 0.1052 (0.1019) loss_contra: 0.0011 (0.0284) time: 2.5392 data: 0.0025 max mem: 31654 Epoch: [3] [2880/5278] eta: 1:41:05 lr: 4.599263409651325e-05 loss: 0.1480 (0.1598) loss_seg: 0.1531 (0.1727) loss_lansim: 0.1050 (0.1019) loss_contra: 0.0009 (0.0283) time: 2.5320 data: 0.0025 max mem: 31654 Epoch: [3] [2890/5278] eta: 1:40:40 lr: 4.5990482724238246e-05 loss: 0.1480 (0.1598) loss_seg: 0.1531 (0.1727) loss_lansim: 0.1050 (0.1019) loss_contra: 0.0011 (0.0283) time: 2.5206 data: 0.0025 max mem: 31654 Epoch: [3] [2900/5278] eta: 1:40:14 lr: 4.5988331340781155e-05 loss: 0.1420 (0.1598) loss_seg: 0.1491 (0.1727) loss_lansim: 0.1057 (0.1020) loss_contra: 0.0014 (0.0283) time: 2.5134 data: 0.0025 max mem: 31654 Epoch: [3] [2910/5278] eta: 1:39:49 lr: 4.598617994614133e-05 loss: 0.1420 (0.1597) loss_seg: 0.1491 (0.1726) loss_lansim: 0.1058 (0.1020) loss_contra: 0.0016 (0.0282) time: 2.5088 data: 0.0024 max mem: 31654 Epoch: [3] [2920/5278] eta: 1:39:23 lr: 4.598402854031814e-05 loss: 0.1377 (0.1597) loss_seg: 0.1491 (0.1726) loss_lansim: 0.1051 (0.1019) loss_contra: 0.0016 (0.0281) time: 2.5114 data: 0.0024 max mem: 31654 Epoch: [3] [2930/5278] eta: 1:38:58 lr: 4.598187712331095e-05 loss: 0.1441 (0.1599) loss_seg: 0.1570 (0.1728) loss_lansim: 0.1055 (0.1020) loss_contra: 0.0014 (0.0281) time: 2.5263 data: 0.0024 max mem: 31654 Epoch: [3] [2940/5278] eta: 1:38:33 lr: 4.597972569511911e-05 loss: 0.1441 (0.1599) loss_seg: 0.1600 (0.1728) loss_lansim: 0.1065 (0.1020) loss_contra: 0.0016 (0.0281) time: 2.5200 data: 0.0024 max mem: 31654 Epoch: [3] [2950/5278] eta: 1:38:08 lr: 4.597757425574198e-05 loss: 0.1486 (0.1600) loss_seg: 0.1604 (0.1729) loss_lansim: 0.1063 (0.1021) loss_contra: 0.0013 (0.0280) time: 2.5205 data: 0.0024 max mem: 31654 Epoch: [3] [2960/5278] eta: 1:37:43 lr: 4.597542280517892e-05 loss: 0.1441 (0.1600) loss_seg: 0.1600 (0.1729) loss_lansim: 0.1048 (0.1021) loss_contra: 0.0014 (0.0281) time: 2.5279 data: 0.0024 max mem: 31654 Epoch: [3] [2970/5278] eta: 1:37:17 lr: 4.5973271343429315e-05 loss: 0.1461 (0.1600) loss_seg: 0.1605 (0.1730) loss_lansim: 0.1040 (0.1021) loss_contra: 0.0011 (0.0281) time: 2.5147 data: 0.0025 max mem: 31654 Epoch: [3] [2980/5278] eta: 1:36:51 lr: 4.597111987049249e-05 loss: 0.1522 (0.1600) loss_seg: 0.1649 (0.1730) loss_lansim: 0.1048 (0.1021) loss_contra: 0.0011 (0.0280) time: 2.5132 data: 0.0025 max mem: 31654 Epoch: [3] [2990/5278] eta: 1:36:25 lr: 4.596896838636782e-05 loss: 0.1493 (0.1600) loss_seg: 0.1627 (0.1730) loss_lansim: 0.1040 (0.1021) loss_contra: 0.0010 (0.0281) time: 2.5081 data: 0.0025 max mem: 31654 Epoch: [3] [3000/5278] eta: 1:36:00 lr: 4.5966816891054665e-05 loss: 0.1493 (0.1600) loss_seg: 0.1644 (0.1729) loss_lansim: 0.1022 (0.1021) loss_contra: 0.0009 (0.0281) time: 2.5100 data: 0.0025 max mem: 31654 Epoch: [3] [3010/5278] eta: 1:35:35 lr: 4.5964665384552384e-05 loss: 0.1541 (0.1601) loss_seg: 0.1692 (0.1730) loss_lansim: 0.1031 (0.1021) loss_contra: 0.0009 (0.0281) time: 2.5104 data: 0.0025 max mem: 31654 Epoch: [3] [3020/5278] eta: 1:35:09 lr: 4.596251386686034e-05 loss: 0.1496 (0.1600) loss_seg: 0.1649 (0.1729) loss_lansim: 0.1031 (0.1021) loss_contra: 0.0010 (0.0282) time: 2.5137 data: 0.0026 max mem: 31654 Epoch: [3] [3030/5278] eta: 1:34:44 lr: 4.59603623379779e-05 loss: 0.1475 (0.1601) loss_seg: 0.1627 (0.1730) loss_lansim: 0.1015 (0.1020) loss_contra: 0.0011 (0.0282) time: 2.5085 data: 0.0026 max mem: 31654 Epoch: [3] [3040/5278] eta: 1:34:18 lr: 4.59582107979044e-05 loss: 0.1496 (0.1601) loss_seg: 0.1632 (0.1730) loss_lansim: 0.1014 (0.1021) loss_contra: 0.0011 (0.0282) time: 2.5084 data: 0.0026 max mem: 31654 Epoch: [3] [3050/5278] eta: 1:33:53 lr: 4.595605924663923e-05 loss: 0.1430 (0.1601) loss_seg: 0.1544 (0.1730) loss_lansim: 0.1001 (0.1020) loss_contra: 0.0011 (0.0281) time: 2.5064 data: 0.0025 max mem: 31654 Epoch: [3] [3060/5278] eta: 1:33:27 lr: 4.595390768418172e-05 loss: 0.1332 (0.1600) loss_seg: 0.1480 (0.1730) loss_lansim: 0.1006 (0.1021) loss_contra: 0.0011 (0.0280) time: 2.4996 data: 0.0025 max mem: 31654 Epoch: [3] [3070/5278] eta: 1:33:02 lr: 4.595175611053125e-05 loss: 0.1332 (0.1600) loss_seg: 0.1481 (0.1729) loss_lansim: 0.1001 (0.1021) loss_contra: 0.0013 (0.0279) time: 2.5073 data: 0.0025 max mem: 31654 Epoch: [3] [3080/5278] eta: 1:32:36 lr: 4.594960452568716e-05 loss: 0.1326 (0.1601) loss_seg: 0.1471 (0.1730) loss_lansim: 0.0983 (0.1020) loss_contra: 0.0012 (0.0279) time: 2.5060 data: 0.0025 max mem: 31654 Epoch: [3] [3090/5278] eta: 1:32:11 lr: 4.5947452929648836e-05 loss: 0.1322 (0.1599) loss_seg: 0.1464 (0.1728) loss_lansim: 0.0976 (0.1020) loss_contra: 0.0011 (0.0279) time: 2.5115 data: 0.0025 max mem: 31654 Epoch: [3] [3100/5278] eta: 1:31:46 lr: 4.594530132241562e-05 loss: 0.1322 (0.1599) loss_seg: 0.1470 (0.1728) loss_lansim: 0.0983 (0.1020) loss_contra: 0.0011 (0.0278) time: 2.5122 data: 0.0025 max mem: 31654 Epoch: [3] [3110/5278] eta: 1:31:20 lr: 4.5943149703986875e-05 loss: 0.1321 (0.1599) loss_seg: 0.1464 (0.1728) loss_lansim: 0.0981 (0.1020) loss_contra: 0.0011 (0.0278) time: 2.5066 data: 0.0025 max mem: 31654 Epoch: [3] [3120/5278] eta: 1:30:54 lr: 4.594099807436196e-05 loss: 0.1253 (0.1598) loss_seg: 0.1360 (0.1727) loss_lansim: 0.0981 (0.1020) loss_contra: 0.0010 (0.0277) time: 2.4988 data: 0.0024 max mem: 31654 Epoch: [3] [3130/5278] eta: 1:30:29 lr: 4.593884643354023e-05 loss: 0.1292 (0.1598) loss_seg: 0.1381 (0.1726) loss_lansim: 0.1001 (0.1020) loss_contra: 0.0009 (0.0277) time: 2.4949 data: 0.0024 max mem: 31654 Epoch: [3] [3140/5278] eta: 1:30:03 lr: 4.593669478152105e-05 loss: 0.1315 (0.1599) loss_seg: 0.1438 (0.1728) loss_lansim: 0.0991 (0.1020) loss_contra: 0.0007 (0.0277) time: 2.4936 data: 0.0024 max mem: 31654 Epoch: [3] [3150/5278] eta: 1:29:38 lr: 4.5934543118303773e-05 loss: 0.1322 (0.1601) loss_seg: 0.1464 (0.1729) loss_lansim: 0.1014 (0.1020) loss_contra: 0.0009 (0.0277) time: 2.4895 data: 0.0025 max mem: 31654 Epoch: [3] [3160/5278] eta: 1:29:12 lr: 4.593239144388777e-05 loss: 0.1471 (0.1602) loss_seg: 0.1580 (0.1731) loss_lansim: 0.1014 (0.1021) loss_contra: 0.0009 (0.0277) time: 2.4956 data: 0.0025 max mem: 31654 Epoch: [3] [3170/5278] eta: 1:28:47 lr: 4.593023975827238e-05 loss: 0.1471 (0.1603) loss_seg: 0.1583 (0.1732) loss_lansim: 0.1040 (0.1021) loss_contra: 0.0005 (0.0276) time: 2.4981 data: 0.0025 max mem: 31654 Epoch: [3] [3180/5278] eta: 1:28:22 lr: 4.592808806145699e-05 loss: 0.1425 (0.1603) loss_seg: 0.1542 (0.1732) loss_lansim: 0.1040 (0.1022) loss_contra: 0.0005 (0.0276) time: 2.5051 data: 0.0025 max mem: 31654 Epoch: [3] [3190/5278] eta: 1:27:57 lr: 4.592593635344092e-05 loss: 0.1549 (0.1603) loss_seg: 0.1681 (0.1733) loss_lansim: 0.1054 (0.1022) loss_contra: 0.0005 (0.0275) time: 2.5026 data: 0.0025 max mem: 31654 Epoch: [3] [3200/5278] eta: 1:27:31 lr: 4.592378463422357e-05 loss: 0.1542 (0.1604) loss_seg: 0.1646 (0.1733) loss_lansim: 0.1076 (0.1022) loss_contra: 0.0008 (0.0276) time: 2.4967 data: 0.0025 max mem: 31654 Epoch: [3] [3210/5278] eta: 1:27:05 lr: 4.5921632903804265e-05 loss: 0.1542 (0.1603) loss_seg: 0.1650 (0.1733) loss_lansim: 0.1081 (0.1022) loss_contra: 0.0009 (0.0276) time: 2.4996 data: 0.0024 max mem: 31654 Epoch: [3] [3220/5278] eta: 1:26:41 lr: 4.591948116218239e-05 loss: 0.1576 (0.1605) loss_seg: 0.1724 (0.1734) loss_lansim: 0.1116 (0.1023) loss_contra: 0.0011 (0.0277) time: 2.5122 data: 0.0024 max mem: 31654 Epoch: [3] [3230/5278] eta: 1:26:16 lr: 4.591732940935728e-05 loss: 0.1576 (0.1605) loss_seg: 0.1724 (0.1734) loss_lansim: 0.1123 (0.1023) loss_contra: 0.0014 (0.0277) time: 2.5256 data: 0.0024 max mem: 31654 Epoch: [3] [3240/5278] eta: 1:25:50 lr: 4.591517764532831e-05 loss: 0.1580 (0.1607) loss_seg: 0.1735 (0.1737) loss_lansim: 0.1116 (0.1023) loss_contra: 0.0015 (0.0278) time: 2.5282 data: 0.0024 max mem: 31654 Epoch: [3] [3250/5278] eta: 1:25:25 lr: 4.5913025870094836e-05 loss: 0.1611 (0.1608) loss_seg: 0.1740 (0.1738) loss_lansim: 0.1126 (0.1024) loss_contra: 0.0013 (0.0277) time: 2.5331 data: 0.0024 max mem: 31654 Epoch: [3] [3260/5278] eta: 1:25:00 lr: 4.591087408365621e-05 loss: 0.1542 (0.1607) loss_seg: 0.1662 (0.1737) loss_lansim: 0.1116 (0.1024) loss_contra: 0.0014 (0.0277) time: 2.5364 data: 0.0024 max mem: 31654 Epoch: [3] [3270/5278] eta: 1:24:35 lr: 4.590872228601179e-05 loss: 0.1496 (0.1607) loss_seg: 0.1650 (0.1737) loss_lansim: 0.1127 (0.1025) loss_contra: 0.0014 (0.0277) time: 2.5310 data: 0.0024 max mem: 31654 Epoch: [3] [3280/5278] eta: 1:24:09 lr: 4.590657047716094e-05 loss: 0.1544 (0.1607) loss_seg: 0.1681 (0.1737) loss_lansim: 0.1127 (0.1025) loss_contra: 0.0013 (0.0278) time: 2.5315 data: 0.0024 max mem: 31654 Epoch: [3] [3290/5278] eta: 1:23:44 lr: 4.590441865710301e-05 loss: 0.1496 (0.1608) loss_seg: 0.1650 (0.1738) loss_lansim: 0.1134 (0.1026) loss_contra: 0.0012 (0.0278) time: 2.5290 data: 0.0024 max mem: 31654 Epoch: [3] [3300/5278] eta: 1:23:19 lr: 4.590226682583737e-05 loss: 0.1558 (0.1609) loss_seg: 0.1662 (0.1739) loss_lansim: 0.1135 (0.1026) loss_contra: 0.0008 (0.0278) time: 2.5385 data: 0.0024 max mem: 31654 Epoch: [3] [3310/5278] eta: 1:22:54 lr: 4.5900114983363364e-05 loss: 0.1530 (0.1608) loss_seg: 0.1650 (0.1738) loss_lansim: 0.1157 (0.1027) loss_contra: 0.0008 (0.0278) time: 2.5496 data: 0.0024 max mem: 31671 Epoch: [3] [3320/5278] eta: 1:22:29 lr: 4.589796312968036e-05 loss: 0.1489 (0.1609) loss_seg: 0.1619 (0.1739) loss_lansim: 0.1166 (0.1028) loss_contra: 0.0007 (0.0277) time: 2.5442 data: 0.0024 max mem: 31671 Epoch: [3] [3330/5278] eta: 1:22:03 lr: 4.589581126478771e-05 loss: 0.1513 (0.1610) loss_seg: 0.1636 (0.1739) loss_lansim: 0.1180 (0.1029) loss_contra: 0.0007 (0.0277) time: 2.5302 data: 0.0024 max mem: 31671 Epoch: [3] [3340/5278] eta: 1:21:38 lr: 4.5893659388684777e-05 loss: 0.1505 (0.1611) loss_seg: 0.1619 (0.1741) loss_lansim: 0.1180 (0.1029) loss_contra: 0.0006 (0.0278) time: 2.5278 data: 0.0024 max mem: 31671 Epoch: [3] [3350/5278] eta: 1:21:12 lr: 4.589150750137091e-05 loss: 0.1530 (0.1612) loss_seg: 0.1650 (0.1742) loss_lansim: 0.1176 (0.1029) loss_contra: 0.0007 (0.0279) time: 2.5244 data: 0.0024 max mem: 31671 Epoch: [3] [3360/5278] eta: 1:20:47 lr: 4.5889355602845476e-05 loss: 0.1533 (0.1612) loss_seg: 0.1656 (0.1742) loss_lansim: 0.1163 (0.1029) loss_contra: 0.0007 (0.0279) time: 2.5139 data: 0.0024 max mem: 31671 Epoch: [3] [3370/5278] eta: 1:20:21 lr: 4.588720369310783e-05 loss: 0.1570 (0.1612) loss_seg: 0.1671 (0.1742) loss_lansim: 0.1170 (0.1030) loss_contra: 0.0008 (0.0282) time: 2.5059 data: 0.0024 max mem: 31671 Epoch: [3] [3380/5278] eta: 1:19:55 lr: 4.588505177215732e-05 loss: 0.1568 (0.1612) loss_seg: 0.1656 (0.1742) loss_lansim: 0.1166 (0.1030) loss_contra: 0.0008 (0.0288) time: 2.5051 data: 0.0025 max mem: 31671 Epoch: [3] [3390/5278] eta: 1:19:30 lr: 4.588289983999332e-05 loss: 0.1533 (0.1611) loss_seg: 0.1626 (0.1741) loss_lansim: 0.1163 (0.1030) loss_contra: 0.0009 (0.0287) time: 2.4991 data: 0.0025 max mem: 31671 Epoch: [3] [3400/5278] eta: 1:19:04 lr: 4.588074789661517e-05 loss: 0.1505 (0.1610) loss_seg: 0.1622 (0.1740) loss_lansim: 0.1176 (0.1030) loss_contra: 0.0021 (0.0289) time: 2.4940 data: 0.0025 max mem: 31671 Epoch: [3] [3410/5278] eta: 1:18:39 lr: 4.587859594202224e-05 loss: 0.1466 (0.1609) loss_seg: 0.1531 (0.1738) loss_lansim: 0.1152 (0.1030) loss_contra: 0.0016 (0.0288) time: 2.4870 data: 0.0026 max mem: 31671 Epoch: [3] [3420/5278] eta: 1:18:14 lr: 4.587644397621388e-05 loss: 0.1478 (0.1610) loss_seg: 0.1541 (0.1740) loss_lansim: 0.1129 (0.1031) loss_contra: 0.0021 (0.0288) time: 2.4816 data: 0.0026 max mem: 31671 Epoch: [3] [3430/5278] eta: 1:17:48 lr: 4.587429199918945e-05 loss: 0.1478 (0.1611) loss_seg: 0.1567 (0.1741) loss_lansim: 0.1104 (0.1031) loss_contra: 0.0016 (0.0289) time: 2.4902 data: 0.0026 max mem: 31671 Epoch: [3] [3440/5278] eta: 1:17:23 lr: 4.587214001094831e-05 loss: 0.1466 (0.1611) loss_seg: 0.1531 (0.1741) loss_lansim: 0.1072 (0.1031) loss_contra: 0.0021 (0.0288) time: 2.4906 data: 0.0026 max mem: 31671 Epoch: [3] [3450/5278] eta: 1:16:58 lr: 4.5869988011489806e-05 loss: 0.1459 (0.1611) loss_seg: 0.1513 (0.1741) loss_lansim: 0.1064 (0.1031) loss_contra: 0.0028 (0.0289) time: 2.4961 data: 0.0026 max mem: 31671 Epoch: [3] [3460/5278] eta: 1:16:32 lr: 4.58678360008133e-05 loss: 0.1387 (0.1609) loss_seg: 0.1474 (0.1739) loss_lansim: 0.1068 (0.1032) loss_contra: 0.0016 (0.0288) time: 2.4973 data: 0.0027 max mem: 31671 Epoch: [3] [3470/5278] eta: 1:16:07 lr: 4.586568397891816e-05 loss: 0.1267 (0.1608) loss_seg: 0.1383 (0.1737) loss_lansim: 0.1068 (0.1032) loss_contra: 0.0013 (0.0288) time: 2.5088 data: 0.0026 max mem: 31671 Epoch: [3] [3480/5278] eta: 1:15:41 lr: 4.5863531945803735e-05 loss: 0.1248 (0.1609) loss_seg: 0.1366 (0.1739) loss_lansim: 0.1072 (0.1032) loss_contra: 0.0010 (0.0287) time: 2.4993 data: 0.0027 max mem: 31671 Epoch: [3] [3490/5278] eta: 1:15:16 lr: 4.586137990146937e-05 loss: 0.1369 (0.1609) loss_seg: 0.1411 (0.1739) loss_lansim: 0.1069 (0.1032) loss_contra: 0.0010 (0.0286) time: 2.5054 data: 0.0027 max mem: 31671 Epoch: [3] [3500/5278] eta: 1:14:51 lr: 4.5859227845914434e-05 loss: 0.1253 (0.1609) loss_seg: 0.1380 (0.1738) loss_lansim: 0.1069 (0.1033) loss_contra: 0.0008 (0.0286) time: 2.5083 data: 0.0027 max mem: 31671 Epoch: [3] [3510/5278] eta: 1:14:25 lr: 4.585707577913828e-05 loss: 0.1369 (0.1608) loss_seg: 0.1411 (0.1738) loss_lansim: 0.1072 (0.1033) loss_contra: 0.0008 (0.0286) time: 2.5021 data: 0.0027 max mem: 31671 Epoch: [3] [3520/5278] eta: 1:14:00 lr: 4.585492370114027e-05 loss: 0.1267 (0.1607) loss_seg: 0.1383 (0.1737) loss_lansim: 0.1069 (0.1033) loss_contra: 0.0010 (0.0286) time: 2.5106 data: 0.0027 max mem: 31671 Epoch: [3] [3530/5278] eta: 1:13:35 lr: 4.5852771611919745e-05 loss: 0.1207 (0.1607) loss_seg: 0.1301 (0.1736) loss_lansim: 0.1056 (0.1033) loss_contra: 0.0010 (0.0286) time: 2.5099 data: 0.0027 max mem: 31671 Epoch: [3] [3540/5278] eta: 1:13:09 lr: 4.5850619511476085e-05 loss: 0.1253 (0.1607) loss_seg: 0.1362 (0.1737) loss_lansim: 0.1061 (0.1034) loss_contra: 0.0012 (0.0286) time: 2.5094 data: 0.0026 max mem: 31671 Epoch: [3] [3550/5278] eta: 1:12:44 lr: 4.584846739980863e-05 loss: 0.1270 (0.1608) loss_seg: 0.1366 (0.1737) loss_lansim: 0.1069 (0.1034) loss_contra: 0.0008 (0.0285) time: 2.5060 data: 0.0026 max mem: 31671 Epoch: [3] [3560/5278] eta: 1:12:19 lr: 4.584631527691673e-05 loss: 0.1375 (0.1608) loss_seg: 0.1488 (0.1737) loss_lansim: 0.1085 (0.1034) loss_contra: 0.0008 (0.0284) time: 2.5074 data: 0.0026 max mem: 31671 Epoch: [3] [3570/5278] eta: 1:11:54 lr: 4.5844163142799756e-05 loss: 0.1391 (0.1607) loss_seg: 0.1531 (0.1737) loss_lansim: 0.1086 (0.1035) loss_contra: 0.0008 (0.0284) time: 2.5153 data: 0.0026 max mem: 31671 Epoch: [3] [3580/5278] eta: 1:11:29 lr: 4.5842010997457054e-05 loss: 0.1380 (0.1607) loss_seg: 0.1531 (0.1737) loss_lansim: 0.1078 (0.1035) loss_contra: 0.0006 (0.0283) time: 2.5223 data: 0.0026 max mem: 31671 Epoch: [3] [3590/5278] eta: 1:11:03 lr: 4.583985884088798e-05 loss: 0.1380 (0.1606) loss_seg: 0.1524 (0.1736) loss_lansim: 0.1080 (0.1035) loss_contra: 0.0005 (0.0283) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [3] [3600/5278] eta: 1:10:38 lr: 4.5837706673091905e-05 loss: 0.1391 (0.1606) loss_seg: 0.1531 (0.1736) loss_lansim: 0.1073 (0.1035) loss_contra: 0.0005 (0.0283) time: 2.5230 data: 0.0026 max mem: 31671 Epoch: [3] [3610/5278] eta: 1:10:12 lr: 4.583555449406817e-05 loss: 0.1380 (0.1607) loss_seg: 0.1524 (0.1737) loss_lansim: 0.1072 (0.1035) loss_contra: 0.0005 (0.0284) time: 2.5213 data: 0.0026 max mem: 31671 Epoch: [3] [3620/5278] eta: 1:09:47 lr: 4.583340230381613e-05 loss: 0.1406 (0.1607) loss_seg: 0.1546 (0.1737) loss_lansim: 0.1086 (0.1035) loss_contra: 0.0005 (0.0286) time: 2.5143 data: 0.0025 max mem: 31671 Epoch: [3] [3630/5278] eta: 1:09:22 lr: 4.5831250102335145e-05 loss: 0.1481 (0.1608) loss_seg: 0.1631 (0.1738) loss_lansim: 0.1091 (0.1035) loss_contra: 0.0005 (0.0285) time: 2.5096 data: 0.0025 max mem: 31671 Epoch: [3] [3640/5278] eta: 1:08:56 lr: 4.582909788962457e-05 loss: 0.1481 (0.1608) loss_seg: 0.1631 (0.1738) loss_lansim: 0.1089 (0.1036) loss_contra: 0.0004 (0.0285) time: 2.5162 data: 0.0025 max mem: 31671 Epoch: [3] [3650/5278] eta: 1:08:31 lr: 4.5826945665683766e-05 loss: 0.1493 (0.1609) loss_seg: 0.1631 (0.1739) loss_lansim: 0.1091 (0.1036) loss_contra: 0.0005 (0.0285) time: 2.5084 data: 0.0025 max mem: 31671 Epoch: [3] [3660/5278] eta: 1:08:05 lr: 4.5824793430512074e-05 loss: 0.1493 (0.1609) loss_seg: 0.1640 (0.1739) loss_lansim: 0.1089 (0.1036) loss_contra: 0.0008 (0.0285) time: 2.5056 data: 0.0025 max mem: 31671 Epoch: [3] [3670/5278] eta: 1:07:40 lr: 4.582264118410886e-05 loss: 0.1567 (0.1609) loss_seg: 0.1661 (0.1739) loss_lansim: 0.1075 (0.1036) loss_contra: 0.0012 (0.0287) time: 2.4954 data: 0.0025 max mem: 31671 Epoch: [3] [3680/5278] eta: 1:07:15 lr: 4.5820488926473484e-05 loss: 0.1502 (0.1609) loss_seg: 0.1648 (0.1739) loss_lansim: 0.1086 (0.1036) loss_contra: 0.0018 (0.0287) time: 2.4958 data: 0.0026 max mem: 31671 Epoch: [3] [3690/5278] eta: 1:06:49 lr: 4.581833665760529e-05 loss: 0.1518 (0.1610) loss_seg: 0.1661 (0.1740) loss_lansim: 0.1086 (0.1036) loss_contra: 0.0021 (0.0286) time: 2.4893 data: 0.0026 max mem: 31671 Epoch: [3] [3700/5278] eta: 1:06:24 lr: 4.581618437750363e-05 loss: 0.1581 (0.1610) loss_seg: 0.1740 (0.1740) loss_lansim: 0.1075 (0.1036) loss_contra: 0.0021 (0.0286) time: 2.4868 data: 0.0027 max mem: 31671 Epoch: [3] [3710/5278] eta: 1:05:58 lr: 4.5814032086167875e-05 loss: 0.1518 (0.1609) loss_seg: 0.1670 (0.1739) loss_lansim: 0.1075 (0.1036) loss_contra: 0.0021 (0.0287) time: 2.4886 data: 0.0027 max mem: 31671 Epoch: [3] [3720/5278] eta: 1:05:33 lr: 4.5811879783597366e-05 loss: 0.1535 (0.1609) loss_seg: 0.1688 (0.1739) loss_lansim: 0.1068 (0.1037) loss_contra: 0.0021 (0.0287) time: 2.4881 data: 0.0027 max mem: 31671 Epoch: [3] [3730/5278] eta: 1:05:08 lr: 4.5809727469791466e-05 loss: 0.1535 (0.1610) loss_seg: 0.1705 (0.1740) loss_lansim: 0.1064 (0.1037) loss_contra: 0.0018 (0.0286) time: 2.4957 data: 0.0027 max mem: 31671 Epoch: [3] [3740/5278] eta: 1:04:42 lr: 4.580757514474953e-05 loss: 0.1502 (0.1609) loss_seg: 0.1670 (0.1739) loss_lansim: 0.1062 (0.1037) loss_contra: 0.0016 (0.0286) time: 2.4899 data: 0.0027 max mem: 31671 Epoch: [3] [3750/5278] eta: 1:04:17 lr: 4.580542280847091e-05 loss: 0.1535 (0.1611) loss_seg: 0.1705 (0.1741) loss_lansim: 0.1062 (0.1037) loss_contra: 0.0014 (0.0285) time: 2.4979 data: 0.0027 max mem: 31671 Epoch: [3] [3760/5278] eta: 1:03:52 lr: 4.5803270460954964e-05 loss: 0.1502 (0.1611) loss_seg: 0.1625 (0.1741) loss_lansim: 0.1050 (0.1037) loss_contra: 0.0010 (0.0285) time: 2.5123 data: 0.0027 max mem: 31671 Epoch: [3] [3770/5278] eta: 1:03:27 lr: 4.580111810220104e-05 loss: 0.1535 (0.1611) loss_seg: 0.1705 (0.1741) loss_lansim: 0.1066 (0.1037) loss_contra: 0.0007 (0.0285) time: 2.5202 data: 0.0027 max mem: 31671 Epoch: [3] [3780/5278] eta: 1:03:02 lr: 4.579896573220849e-05 loss: 0.1535 (0.1610) loss_seg: 0.1705 (0.1741) loss_lansim: 0.1066 (0.1037) loss_contra: 0.0007 (0.0285) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [3] [3790/5278] eta: 1:02:37 lr: 4.579681335097667e-05 loss: 0.1560 (0.1612) loss_seg: 0.1735 (0.1743) loss_lansim: 0.1066 (0.1037) loss_contra: 0.0007 (0.0285) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [3] [3800/5278] eta: 1:02:12 lr: 4.579466095850495e-05 loss: 0.1467 (0.1611) loss_seg: 0.1581 (0.1742) loss_lansim: 0.1074 (0.1038) loss_contra: 0.0005 (0.0284) time: 2.5401 data: 0.0025 max mem: 31671 Epoch: [3] [3810/5278] eta: 1:01:47 lr: 4.579250855479267e-05 loss: 0.1561 (0.1612) loss_seg: 0.1739 (0.1743) loss_lansim: 0.1101 (0.1038) loss_contra: 0.0004 (0.0284) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [3] [3820/5278] eta: 1:01:21 lr: 4.5790356139839184e-05 loss: 0.1606 (0.1613) loss_seg: 0.1767 (0.1744) loss_lansim: 0.1072 (0.1038) loss_contra: 0.0004 (0.0283) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [3] [3830/5278] eta: 1:00:56 lr: 4.578820371364385e-05 loss: 0.1483 (0.1613) loss_seg: 0.1633 (0.1744) loss_lansim: 0.1101 (0.1038) loss_contra: 0.0005 (0.0286) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [3] [3840/5278] eta: 1:00:31 lr: 4.5786051276206024e-05 loss: 0.1483 (0.1612) loss_seg: 0.1630 (0.1743) loss_lansim: 0.1101 (0.1038) loss_contra: 0.0006 (0.0290) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [3] [3850/5278] eta: 1:00:06 lr: 4.5783898827525055e-05 loss: 0.1467 (0.1613) loss_seg: 0.1570 (0.1743) loss_lansim: 0.1079 (0.1038) loss_contra: 0.0010 (0.0290) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [3] [3860/5278] eta: 0:59:40 lr: 4.57817463676003e-05 loss: 0.1477 (0.1613) loss_seg: 0.1581 (0.1744) loss_lansim: 0.1064 (0.1038) loss_contra: 0.0010 (0.0290) time: 2.5393 data: 0.0024 max mem: 31671 Epoch: [3] [3870/5278] eta: 0:59:15 lr: 4.577959389643111e-05 loss: 0.1455 (0.1613) loss_seg: 0.1564 (0.1744) loss_lansim: 0.1043 (0.1038) loss_contra: 0.0014 (0.0290) time: 2.5290 data: 0.0024 max mem: 31671 Epoch: [3] [3880/5278] eta: 0:58:50 lr: 4.577744141401684e-05 loss: 0.1470 (0.1613) loss_seg: 0.1570 (0.1743) loss_lansim: 0.1038 (0.1038) loss_contra: 0.0014 (0.0290) time: 2.5195 data: 0.0024 max mem: 31671 Epoch: [3] [3890/5278] eta: 0:58:24 lr: 4.577528892035685e-05 loss: 0.1407 (0.1612) loss_seg: 0.1535 (0.1742) loss_lansim: 0.1043 (0.1039) loss_contra: 0.0012 (0.0290) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [3] [3900/5278] eta: 0:57:59 lr: 4.577313641545049e-05 loss: 0.1455 (0.1612) loss_seg: 0.1559 (0.1742) loss_lansim: 0.1043 (0.1038) loss_contra: 0.0010 (0.0289) time: 2.5222 data: 0.0024 max mem: 31671 Epoch: [3] [3910/5278] eta: 0:57:34 lr: 4.57709838992971e-05 loss: 0.1377 (0.1610) loss_seg: 0.1492 (0.1741) loss_lansim: 0.1043 (0.1038) loss_contra: 0.0015 (0.0289) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [3] [3920/5278] eta: 0:57:09 lr: 4.576883137189606e-05 loss: 0.1379 (0.1611) loss_seg: 0.1509 (0.1741) loss_lansim: 0.1051 (0.1039) loss_contra: 0.0017 (0.0288) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [3] [3930/5278] eta: 0:56:44 lr: 4.576667883324671e-05 loss: 0.1386 (0.1610) loss_seg: 0.1534 (0.1741) loss_lansim: 0.1021 (0.1038) loss_contra: 0.0017 (0.0289) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [3] [3940/5278] eta: 0:56:18 lr: 4.5764526283348394e-05 loss: 0.1439 (0.1609) loss_seg: 0.1544 (0.1740) loss_lansim: 0.1017 (0.1038) loss_contra: 0.0017 (0.0289) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [3] [3950/5278] eta: 0:55:53 lr: 4.576237372220047e-05 loss: 0.1386 (0.1609) loss_seg: 0.1492 (0.1740) loss_lansim: 0.1017 (0.1038) loss_contra: 0.0015 (0.0288) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [3] [3960/5278] eta: 0:55:28 lr: 4.5760221149802303e-05 loss: 0.1386 (0.1610) loss_seg: 0.1492 (0.1740) loss_lansim: 0.1014 (0.1038) loss_contra: 0.0014 (0.0288) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [3] [3970/5278] eta: 0:55:03 lr: 4.5758068566153235e-05 loss: 0.1386 (0.1609) loss_seg: 0.1492 (0.1740) loss_lansim: 0.1017 (0.1038) loss_contra: 0.0015 (0.0287) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [3] [3980/5278] eta: 0:54:38 lr: 4.575591597125262e-05 loss: 0.1379 (0.1609) loss_seg: 0.1455 (0.1740) loss_lansim: 0.1017 (0.1038) loss_contra: 0.0013 (0.0287) time: 2.5455 data: 0.0025 max mem: 31671 Epoch: [3] [3990/5278] eta: 0:54:12 lr: 4.575376336509982e-05 loss: 0.1439 (0.1609) loss_seg: 0.1482 (0.1740) loss_lansim: 0.1008 (0.1038) loss_contra: 0.0012 (0.0286) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [3] [4000/5278] eta: 0:53:47 lr: 4.5751610747694175e-05 loss: 0.1333 (0.1608) loss_seg: 0.1455 (0.1739) loss_lansim: 0.1014 (0.1038) loss_contra: 0.0011 (0.0286) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [3] [4010/5278] eta: 0:53:22 lr: 4.574945811903504e-05 loss: 0.1333 (0.1608) loss_seg: 0.1465 (0.1738) loss_lansim: 0.1014 (0.1038) loss_contra: 0.0009 (0.0285) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [3] [4020/5278] eta: 0:52:57 lr: 4.574730547912178e-05 loss: 0.1253 (0.1607) loss_seg: 0.1392 (0.1738) loss_lansim: 0.0987 (0.1038) loss_contra: 0.0006 (0.0284) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [3] [4030/5278] eta: 0:52:32 lr: 4.574515282795374e-05 loss: 0.1284 (0.1607) loss_seg: 0.1396 (0.1738) loss_lansim: 0.0987 (0.1038) loss_contra: 0.0006 (0.0284) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [3] [4040/5278] eta: 0:52:06 lr: 4.574300016553027e-05 loss: 0.1316 (0.1607) loss_seg: 0.1455 (0.1738) loss_lansim: 0.1007 (0.1038) loss_contra: 0.0004 (0.0283) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [3] [4050/5278] eta: 0:51:41 lr: 4.574084749185073e-05 loss: 0.1284 (0.1606) loss_seg: 0.1392 (0.1737) loss_lansim: 0.1000 (0.1037) loss_contra: 0.0004 (0.0283) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [3] [4060/5278] eta: 0:51:16 lr: 4.5738694806914465e-05 loss: 0.1278 (0.1606) loss_seg: 0.1392 (0.1737) loss_lansim: 0.0987 (0.1037) loss_contra: 0.0004 (0.0282) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [3] [4070/5278] eta: 0:50:51 lr: 4.5736542110720826e-05 loss: 0.1278 (0.1605) loss_seg: 0.1380 (0.1736) loss_lansim: 0.0972 (0.1037) loss_contra: 0.0004 (0.0283) time: 2.5539 data: 0.0025 max mem: 31671 Epoch: [3] [4080/5278] eta: 0:50:26 lr: 4.5734389403269164e-05 loss: 0.1282 (0.1606) loss_seg: 0.1422 (0.1737) loss_lansim: 0.0938 (0.1036) loss_contra: 0.0004 (0.0282) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [3] [4090/5278] eta: 0:50:01 lr: 4.573223668455885e-05 loss: 0.1347 (0.1606) loss_seg: 0.1423 (0.1737) loss_lansim: 0.0916 (0.1036) loss_contra: 0.0004 (0.0282) time: 2.5555 data: 0.0025 max mem: 31671 Epoch: [3] [4100/5278] eta: 0:49:35 lr: 4.573008395458922e-05 loss: 0.1365 (0.1606) loss_seg: 0.1518 (0.1736) loss_lansim: 0.0916 (0.1036) loss_contra: 0.0005 (0.0281) time: 2.5561 data: 0.0025 max mem: 31671 Epoch: [3] [4110/5278] eta: 0:49:10 lr: 4.572793121335963e-05 loss: 0.1394 (0.1606) loss_seg: 0.1544 (0.1736) loss_lansim: 0.0927 (0.1036) loss_contra: 0.0004 (0.0281) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [3] [4120/5278] eta: 0:48:45 lr: 4.572577846086942e-05 loss: 0.1470 (0.1606) loss_seg: 0.1603 (0.1736) loss_lansim: 0.0938 (0.1036) loss_contra: 0.0006 (0.0281) time: 2.5583 data: 0.0025 max mem: 31671 Epoch: [3] [4130/5278] eta: 0:48:20 lr: 4.572362569711797e-05 loss: 0.1431 (0.1606) loss_seg: 0.1551 (0.1736) loss_lansim: 0.0953 (0.1036) loss_contra: 0.0007 (0.0281) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [3] [4140/5278] eta: 0:47:55 lr: 4.5721472922104606e-05 loss: 0.1431 (0.1606) loss_seg: 0.1593 (0.1737) loss_lansim: 0.0949 (0.1036) loss_contra: 0.0007 (0.0281) time: 2.5669 data: 0.0025 max mem: 31671 Epoch: [3] [4150/5278] eta: 0:47:29 lr: 4.571932013582869e-05 loss: 0.1491 (0.1606) loss_seg: 0.1608 (0.1737) loss_lansim: 0.0946 (0.1035) loss_contra: 0.0009 (0.0280) time: 2.5540 data: 0.0026 max mem: 31671 Epoch: [3] [4160/5278] eta: 0:47:04 lr: 4.571716733828957e-05 loss: 0.1507 (0.1606) loss_seg: 0.1662 (0.1737) loss_lansim: 0.0946 (0.1036) loss_contra: 0.0010 (0.0280) time: 2.5385 data: 0.0025 max mem: 31671 Epoch: [3] [4170/5278] eta: 0:46:39 lr: 4.571501452948661e-05 loss: 0.1507 (0.1606) loss_seg: 0.1652 (0.1737) loss_lansim: 0.0953 (0.1035) loss_contra: 0.0009 (0.0280) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [3] [4180/5278] eta: 0:46:13 lr: 4.5712861709419144e-05 loss: 0.1484 (0.1605) loss_seg: 0.1633 (0.1736) loss_lansim: 0.0953 (0.1035) loss_contra: 0.0010 (0.0279) time: 2.5235 data: 0.0026 max mem: 31671 Epoch: [3] [4190/5278] eta: 0:45:48 lr: 4.5710708878086535e-05 loss: 0.1465 (0.1605) loss_seg: 0.1585 (0.1736) loss_lansim: 0.0953 (0.1035) loss_contra: 0.0006 (0.0279) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [3] [4200/5278] eta: 0:45:23 lr: 4.570855603548813e-05 loss: 0.1465 (0.1605) loss_seg: 0.1573 (0.1736) loss_lansim: 0.0953 (0.1035) loss_contra: 0.0009 (0.0280) time: 2.5254 data: 0.0026 max mem: 31671 Epoch: [3] [4210/5278] eta: 0:44:57 lr: 4.570640318162328e-05 loss: 0.1430 (0.1604) loss_seg: 0.1516 (0.1735) loss_lansim: 0.0923 (0.1034) loss_contra: 0.0010 (0.0280) time: 2.5207 data: 0.0026 max mem: 31671 Epoch: [3] [4220/5278] eta: 0:44:32 lr: 4.5704250316491345e-05 loss: 0.1384 (0.1604) loss_seg: 0.1492 (0.1735) loss_lansim: 0.0923 (0.1034) loss_contra: 0.0017 (0.0280) time: 2.5224 data: 0.0026 max mem: 31671 Epoch: [3] [4230/5278] eta: 0:44:07 lr: 4.570209744009167e-05 loss: 0.1384 (0.1604) loss_seg: 0.1492 (0.1735) loss_lansim: 0.0920 (0.1034) loss_contra: 0.0017 (0.0279) time: 2.5233 data: 0.0026 max mem: 31671 Epoch: [3] [4240/5278] eta: 0:43:42 lr: 4.56999445524236e-05 loss: 0.1381 (0.1603) loss_seg: 0.1492 (0.1735) loss_lansim: 0.0918 (0.1033) loss_contra: 0.0017 (0.0279) time: 2.5094 data: 0.0025 max mem: 31671 Epoch: [3] [4250/5278] eta: 0:43:17 lr: 4.569779165348649e-05 loss: 0.1381 (0.1603) loss_seg: 0.1492 (0.1734) loss_lansim: 0.0899 (0.1033) loss_contra: 0.0013 (0.0279) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [3] [4260/5278] eta: 0:42:51 lr: 4.5695638743279706e-05 loss: 0.1370 (0.1603) loss_seg: 0.1492 (0.1734) loss_lansim: 0.0889 (0.1033) loss_contra: 0.0017 (0.0278) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [3] [4270/5278] eta: 0:42:26 lr: 4.569348582180258e-05 loss: 0.1368 (0.1602) loss_seg: 0.1468 (0.1733) loss_lansim: 0.0900 (0.1033) loss_contra: 0.0013 (0.0278) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [3] [4280/5278] eta: 0:42:01 lr: 4.5691332889054463e-05 loss: 0.1440 (0.1604) loss_seg: 0.1573 (0.1734) loss_lansim: 0.0896 (0.1032) loss_contra: 0.0017 (0.0277) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [3] [4290/5278] eta: 0:41:36 lr: 4.568917994503472e-05 loss: 0.1477 (0.1604) loss_seg: 0.1620 (0.1734) loss_lansim: 0.0896 (0.1032) loss_contra: 0.0018 (0.0277) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [3] [4300/5278] eta: 0:41:10 lr: 4.5687026989742694e-05 loss: 0.1490 (0.1604) loss_seg: 0.1634 (0.1735) loss_lansim: 0.0919 (0.1032) loss_contra: 0.0017 (0.0277) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [3] [4310/5278] eta: 0:40:45 lr: 4.568487402317774e-05 loss: 0.1502 (0.1604) loss_seg: 0.1655 (0.1735) loss_lansim: 0.0941 (0.1032) loss_contra: 0.0017 (0.0276) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [3] [4320/5278] eta: 0:40:20 lr: 4.568272104533919e-05 loss: 0.1502 (0.1604) loss_seg: 0.1655 (0.1735) loss_lansim: 0.0943 (0.1032) loss_contra: 0.0015 (0.0277) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [3] [4330/5278] eta: 0:39:54 lr: 4.5680568056226416e-05 loss: 0.1570 (0.1604) loss_seg: 0.1657 (0.1735) loss_lansim: 0.0943 (0.1032) loss_contra: 0.0018 (0.0276) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [3] [4340/5278] eta: 0:39:29 lr: 4.567841505583877e-05 loss: 0.1544 (0.1604) loss_seg: 0.1663 (0.1735) loss_lansim: 0.0934 (0.1031) loss_contra: 0.0017 (0.0276) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [3] [4350/5278] eta: 0:39:04 lr: 4.567626204417559e-05 loss: 0.1490 (0.1603) loss_seg: 0.1634 (0.1734) loss_lansim: 0.0941 (0.1031) loss_contra: 0.0017 (0.0277) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [3] [4360/5278] eta: 0:38:39 lr: 4.567410902123623e-05 loss: 0.1490 (0.1604) loss_seg: 0.1634 (0.1735) loss_lansim: 0.0942 (0.1031) loss_contra: 0.0015 (0.0277) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [3] [4370/5278] eta: 0:38:14 lr: 4.567195598702004e-05 loss: 0.1474 (0.1603) loss_seg: 0.1624 (0.1734) loss_lansim: 0.0934 (0.1031) loss_contra: 0.0013 (0.0276) time: 2.5276 data: 0.0024 max mem: 31671 Epoch: [3] [4380/5278] eta: 0:37:48 lr: 4.566980294152637e-05 loss: 0.1442 (0.1604) loss_seg: 0.1605 (0.1735) loss_lansim: 0.0939 (0.1031) loss_contra: 0.0012 (0.0276) time: 2.5387 data: 0.0024 max mem: 31671 Epoch: [3] [4390/5278] eta: 0:37:23 lr: 4.5667649884754574e-05 loss: 0.1383 (0.1603) loss_seg: 0.1538 (0.1734) loss_lansim: 0.0939 (0.1030) loss_contra: 0.0012 (0.0275) time: 2.5372 data: 0.0024 max mem: 31671 Epoch: [3] [4400/5278] eta: 0:36:58 lr: 4.5665496816704e-05 loss: 0.1383 (0.1602) loss_seg: 0.1538 (0.1733) loss_lansim: 0.0917 (0.1030) loss_contra: 0.0011 (0.0275) time: 2.5411 data: 0.0024 max mem: 31671 Epoch: [3] [4410/5278] eta: 0:36:33 lr: 4.566334373737399e-05 loss: 0.1342 (0.1603) loss_seg: 0.1449 (0.1734) loss_lansim: 0.0906 (0.1030) loss_contra: 0.0011 (0.0275) time: 2.5390 data: 0.0024 max mem: 31671 Epoch: [3] [4420/5278] eta: 0:36:07 lr: 4.566119064676391e-05 loss: 0.1289 (0.1602) loss_seg: 0.1431 (0.1733) loss_lansim: 0.0881 (0.1029) loss_contra: 0.0010 (0.0274) time: 2.5456 data: 0.0024 max mem: 31671 Epoch: [3] [4430/5278] eta: 0:35:42 lr: 4.56590375448731e-05 loss: 0.1286 (0.1603) loss_seg: 0.1423 (0.1733) loss_lansim: 0.0881 (0.1029) loss_contra: 0.0009 (0.0274) time: 2.5474 data: 0.0024 max mem: 31671 Epoch: [3] [4440/5278] eta: 0:35:17 lr: 4.565688443170091e-05 loss: 0.1289 (0.1602) loss_seg: 0.1431 (0.1733) loss_lansim: 0.0881 (0.1029) loss_contra: 0.0006 (0.0273) time: 2.5436 data: 0.0024 max mem: 31671 Epoch: [3] [4450/5278] eta: 0:34:52 lr: 4.565473130724669e-05 loss: 0.1347 (0.1602) loss_seg: 0.1494 (0.1733) loss_lansim: 0.0897 (0.1029) loss_contra: 0.0006 (0.0273) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [3] [4460/5278] eta: 0:34:26 lr: 4.565257817150979e-05 loss: 0.1342 (0.1602) loss_seg: 0.1469 (0.1733) loss_lansim: 0.0897 (0.1028) loss_contra: 0.0004 (0.0272) time: 2.5416 data: 0.0024 max mem: 31671 Epoch: [3] [4470/5278] eta: 0:34:01 lr: 4.565042502448956e-05 loss: 0.1342 (0.1602) loss_seg: 0.1469 (0.1733) loss_lansim: 0.0905 (0.1028) loss_contra: 0.0004 (0.0272) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [3] [4480/5278] eta: 0:33:36 lr: 4.5648271866185354e-05 loss: 0.1342 (0.1603) loss_seg: 0.1469 (0.1735) loss_lansim: 0.0914 (0.1029) loss_contra: 0.0004 (0.0271) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [3] [4490/5278] eta: 0:33:10 lr: 4.564611869659652e-05 loss: 0.1392 (0.1604) loss_seg: 0.1546 (0.1735) loss_lansim: 0.0928 (0.1029) loss_contra: 0.0004 (0.0271) time: 2.5213 data: 0.0024 max mem: 31671 Epoch: [3] [4500/5278] eta: 0:32:45 lr: 4.5643965515722396e-05 loss: 0.1452 (0.1605) loss_seg: 0.1583 (0.1736) loss_lansim: 0.0948 (0.1029) loss_contra: 0.0004 (0.0270) time: 2.5239 data: 0.0024 max mem: 31671 Epoch: [3] [4510/5278] eta: 0:32:20 lr: 4.5641812323562344e-05 loss: 0.1465 (0.1605) loss_seg: 0.1610 (0.1736) loss_lansim: 0.1011 (0.1029) loss_contra: 0.0004 (0.0270) time: 2.5155 data: 0.0024 max mem: 31671 Epoch: [3] [4520/5278] eta: 0:31:54 lr: 4.5639659120115713e-05 loss: 0.1522 (0.1604) loss_seg: 0.1633 (0.1736) loss_lansim: 0.1015 (0.1029) loss_contra: 0.0003 (0.0269) time: 2.5113 data: 0.0024 max mem: 31671 Epoch: [3] [4530/5278] eta: 0:31:29 lr: 4.563750590538185e-05 loss: 0.1559 (0.1605) loss_seg: 0.1653 (0.1737) loss_lansim: 0.1027 (0.1029) loss_contra: 0.0003 (0.0269) time: 2.5153 data: 0.0024 max mem: 31671 Epoch: [3] [4540/5278] eta: 0:31:04 lr: 4.563535267936009e-05 loss: 0.1539 (0.1605) loss_seg: 0.1705 (0.1737) loss_lansim: 0.1058 (0.1030) loss_contra: 0.0003 (0.0270) time: 2.5213 data: 0.0024 max mem: 31671 Epoch: [3] [4550/5278] eta: 0:30:39 lr: 4.5633199442049805e-05 loss: 0.1537 (0.1605) loss_seg: 0.1653 (0.1736) loss_lansim: 0.1089 (0.1030) loss_contra: 0.0004 (0.0270) time: 2.5222 data: 0.0024 max mem: 31671 Epoch: [3] [4560/5278] eta: 0:30:14 lr: 4.5631046193450334e-05 loss: 0.1537 (0.1604) loss_seg: 0.1674 (0.1736) loss_lansim: 0.1096 (0.1030) loss_contra: 0.0004 (0.0270) time: 2.5320 data: 0.0024 max mem: 31671 Epoch: [3] [4570/5278] eta: 0:29:48 lr: 4.562889293356102e-05 loss: 0.1522 (0.1604) loss_seg: 0.1653 (0.1736) loss_lansim: 0.1100 (0.1030) loss_contra: 0.0004 (0.0270) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [3] [4580/5278] eta: 0:29:23 lr: 4.5626739662381216e-05 loss: 0.1503 (0.1605) loss_seg: 0.1621 (0.1736) loss_lansim: 0.1100 (0.1030) loss_contra: 0.0006 (0.0273) time: 2.5330 data: 0.0024 max mem: 31671 Epoch: [3] [4590/5278] eta: 0:28:58 lr: 4.562458637991028e-05 loss: 0.1456 (0.1605) loss_seg: 0.1585 (0.1736) loss_lansim: 0.1080 (0.1030) loss_contra: 0.0006 (0.0273) time: 2.5266 data: 0.0024 max mem: 31671 Epoch: [3] [4600/5278] eta: 0:28:33 lr: 4.562243308614755e-05 loss: 0.1501 (0.1607) loss_seg: 0.1616 (0.1738) loss_lansim: 0.1053 (0.1030) loss_contra: 0.0012 (0.0273) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [3] [4610/5278] eta: 0:28:07 lr: 4.562027978109237e-05 loss: 0.1503 (0.1607) loss_seg: 0.1616 (0.1738) loss_lansim: 0.1050 (0.1030) loss_contra: 0.0015 (0.0274) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [3] [4620/5278] eta: 0:27:42 lr: 4.561812646474411e-05 loss: 0.1503 (0.1606) loss_seg: 0.1619 (0.1738) loss_lansim: 0.1053 (0.1030) loss_contra: 0.0022 (0.0275) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [3] [4630/5278] eta: 0:27:17 lr: 4.561597313710209e-05 loss: 0.1456 (0.1606) loss_seg: 0.1558 (0.1738) loss_lansim: 0.1070 (0.1030) loss_contra: 0.0019 (0.0276) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [3] [4640/5278] eta: 0:26:52 lr: 4.5613819798165684e-05 loss: 0.1456 (0.1607) loss_seg: 0.1518 (0.1738) loss_lansim: 0.1050 (0.1030) loss_contra: 0.0022 (0.0279) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [3] [4650/5278] eta: 0:26:26 lr: 4.561166644793423e-05 loss: 0.1501 (0.1607) loss_seg: 0.1600 (0.1738) loss_lansim: 0.1032 (0.1031) loss_contra: 0.0029 (0.0280) time: 2.5270 data: 0.0024 max mem: 31671 Epoch: [3] [4660/5278] eta: 0:26:01 lr: 4.560951308640707e-05 loss: 0.1501 (0.1607) loss_seg: 0.1600 (0.1739) loss_lansim: 0.1064 (0.1031) loss_contra: 0.0045 (0.0283) time: 2.5276 data: 0.0024 max mem: 31671 Epoch: [3] [4670/5278] eta: 0:25:36 lr: 4.560735971358355e-05 loss: 0.1532 (0.1608) loss_seg: 0.1600 (0.1739) loss_lansim: 0.1086 (0.1031) loss_contra: 0.0061 (0.0284) time: 2.5226 data: 0.0024 max mem: 31671 Epoch: [3] [4680/5278] eta: 0:25:11 lr: 4.560520632946304e-05 loss: 0.1601 (0.1608) loss_seg: 0.1619 (0.1740) loss_lansim: 0.1064 (0.1031) loss_contra: 0.0039 (0.0284) time: 2.5319 data: 0.0024 max mem: 31671 Epoch: [3] [4690/5278] eta: 0:24:45 lr: 4.560305293404487e-05 loss: 0.1610 (0.1609) loss_seg: 0.1784 (0.1740) loss_lansim: 0.1070 (0.1032) loss_contra: 0.0039 (0.0283) time: 2.5369 data: 0.0024 max mem: 31671 Epoch: [3] [4700/5278] eta: 0:24:20 lr: 4.560089952732838e-05 loss: 0.1434 (0.1608) loss_seg: 0.1540 (0.1739) loss_lansim: 0.1070 (0.1031) loss_contra: 0.0035 (0.0283) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [3] [4710/5278] eta: 0:23:55 lr: 4.559874610931294e-05 loss: 0.1459 (0.1608) loss_seg: 0.1561 (0.1740) loss_lansim: 0.1062 (0.1031) loss_contra: 0.0039 (0.0283) time: 2.5314 data: 0.0024 max mem: 31671 Epoch: [3] [4720/5278] eta: 0:23:29 lr: 4.559659267999788e-05 loss: 0.1404 (0.1608) loss_seg: 0.1537 (0.1739) loss_lansim: 0.1058 (0.1031) loss_contra: 0.0031 (0.0283) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [3] [4730/5278] eta: 0:23:04 lr: 4.5594439239382575e-05 loss: 0.1404 (0.1608) loss_seg: 0.1537 (0.1739) loss_lansim: 0.1050 (0.1031) loss_contra: 0.0033 (0.0285) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [3] [4740/5278] eta: 0:22:39 lr: 4.559228578746634e-05 loss: 0.1381 (0.1607) loss_seg: 0.1472 (0.1738) loss_lansim: 0.1049 (0.1031) loss_contra: 0.0020 (0.0286) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [3] [4750/5278] eta: 0:22:14 lr: 4.559013232424853e-05 loss: 0.1381 (0.1607) loss_seg: 0.1531 (0.1738) loss_lansim: 0.1036 (0.1031) loss_contra: 0.0018 (0.0286) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [3] [4760/5278] eta: 0:21:48 lr: 4.558797884972851e-05 loss: 0.1381 (0.1607) loss_seg: 0.1470 (0.1738) loss_lansim: 0.1019 (0.1031) loss_contra: 0.0016 (0.0287) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [3] [4770/5278] eta: 0:21:23 lr: 4.55858253639056e-05 loss: 0.1373 (0.1608) loss_seg: 0.1466 (0.1739) loss_lansim: 0.1005 (0.1031) loss_contra: 0.0010 (0.0287) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [3] [4780/5278] eta: 0:20:58 lr: 4.558367186677917e-05 loss: 0.1376 (0.1608) loss_seg: 0.1470 (0.1739) loss_lansim: 0.1021 (0.1031) loss_contra: 0.0011 (0.0287) time: 2.5248 data: 0.0025 max mem: 31671 Epoch: [3] [4790/5278] eta: 0:20:33 lr: 4.5581518358348564e-05 loss: 0.1342 (0.1608) loss_seg: 0.1459 (0.1739) loss_lansim: 0.0993 (0.1031) loss_contra: 0.0011 (0.0287) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [3] [4800/5278] eta: 0:20:07 lr: 4.557936483861312e-05 loss: 0.1376 (0.1608) loss_seg: 0.1494 (0.1739) loss_lansim: 0.1005 (0.1031) loss_contra: 0.0011 (0.0286) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [3] [4810/5278] eta: 0:19:42 lr: 4.5577211307572196e-05 loss: 0.1381 (0.1609) loss_seg: 0.1531 (0.1740) loss_lansim: 0.1025 (0.1032) loss_contra: 0.0009 (0.0286) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [3] [4820/5278] eta: 0:19:17 lr: 4.557505776522513e-05 loss: 0.1392 (0.1609) loss_seg: 0.1531 (0.1740) loss_lansim: 0.1044 (0.1032) loss_contra: 0.0012 (0.0286) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [3] [4830/5278] eta: 0:18:52 lr: 4.557290421157127e-05 loss: 0.1488 (0.1610) loss_seg: 0.1546 (0.1741) loss_lansim: 0.1044 (0.1032) loss_contra: 0.0010 (0.0287) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [3] [4840/5278] eta: 0:18:26 lr: 4.5570750646609974e-05 loss: 0.1581 (0.1610) loss_seg: 0.1662 (0.1741) loss_lansim: 0.1047 (0.1032) loss_contra: 0.0010 (0.0287) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [3] [4850/5278] eta: 0:18:01 lr: 4.556859707034058e-05 loss: 0.1599 (0.1610) loss_seg: 0.1781 (0.1741) loss_lansim: 0.1045 (0.1032) loss_contra: 0.0010 (0.0287) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [3] [4860/5278] eta: 0:17:36 lr: 4.5566443482762426e-05 loss: 0.1599 (0.1609) loss_seg: 0.1737 (0.1741) loss_lansim: 0.1063 (0.1032) loss_contra: 0.0009 (0.0288) time: 2.5491 data: 0.0026 max mem: 31671 Epoch: [3] [4870/5278] eta: 0:17:11 lr: 4.556428988387487e-05 loss: 0.1664 (0.1610) loss_seg: 0.1783 (0.1742) loss_lansim: 0.1046 (0.1032) loss_contra: 0.0010 (0.0287) time: 2.5471 data: 0.0025 max mem: 31671 Epoch: [3] [4880/5278] eta: 0:16:45 lr: 4.556213627367726e-05 loss: 0.1599 (0.1611) loss_seg: 0.1738 (0.1742) loss_lansim: 0.1044 (0.1032) loss_contra: 0.0011 (0.0287) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [3] [4890/5278] eta: 0:16:20 lr: 4.555998265216895e-05 loss: 0.1601 (0.1610) loss_seg: 0.1751 (0.1741) loss_lansim: 0.1046 (0.1032) loss_contra: 0.0009 (0.0287) time: 2.5551 data: 0.0026 max mem: 31671 Epoch: [3] [4900/5278] eta: 0:15:55 lr: 4.555782901934926e-05 loss: 0.1664 (0.1610) loss_seg: 0.1781 (0.1742) loss_lansim: 0.1043 (0.1032) loss_contra: 0.0011 (0.0286) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [3] [4910/5278] eta: 0:15:30 lr: 4.555567537521756e-05 loss: 0.1615 (0.1611) loss_seg: 0.1763 (0.1742) loss_lansim: 0.1043 (0.1032) loss_contra: 0.0013 (0.0286) time: 2.5423 data: 0.0026 max mem: 31671 Epoch: [3] [4920/5278] eta: 0:15:04 lr: 4.555352171977318e-05 loss: 0.1601 (0.1610) loss_seg: 0.1738 (0.1741) loss_lansim: 0.0995 (0.1032) loss_contra: 0.0014 (0.0286) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [3] [4930/5278] eta: 0:14:39 lr: 4.5551368053015485e-05 loss: 0.1583 (0.1609) loss_seg: 0.1674 (0.1741) loss_lansim: 0.0992 (0.1032) loss_contra: 0.0014 (0.0286) time: 2.5392 data: 0.0026 max mem: 31671 Epoch: [3] [4940/5278] eta: 0:14:14 lr: 4.554921437494381e-05 loss: 0.1583 (0.1609) loss_seg: 0.1674 (0.1741) loss_lansim: 0.0989 (0.1032) loss_contra: 0.0013 (0.0286) time: 2.5370 data: 0.0027 max mem: 31671 Epoch: [3] [4950/5278] eta: 0:13:48 lr: 4.5547060685557493e-05 loss: 0.1514 (0.1608) loss_seg: 0.1604 (0.1740) loss_lansim: 0.0987 (0.1032) loss_contra: 0.0013 (0.0285) time: 2.5269 data: 0.0027 max mem: 31671 Epoch: [3] [4960/5278] eta: 0:13:23 lr: 4.55449069848559e-05 loss: 0.1542 (0.1609) loss_seg: 0.1664 (0.1740) loss_lansim: 0.0986 (0.1032) loss_contra: 0.0014 (0.0285) time: 2.5243 data: 0.0027 max mem: 31671 Epoch: [3] [4970/5278] eta: 0:12:58 lr: 4.554275327283837e-05 loss: 0.1512 (0.1608) loss_seg: 0.1570 (0.1739) loss_lansim: 0.0986 (0.1032) loss_contra: 0.0015 (0.0284) time: 2.5200 data: 0.0027 max mem: 31671 Epoch: [3] [4980/5278] eta: 0:12:33 lr: 4.5540599549504235e-05 loss: 0.1516 (0.1609) loss_seg: 0.1600 (0.1740) loss_lansim: 0.0987 (0.1032) loss_contra: 0.0011 (0.0285) time: 2.5162 data: 0.0027 max mem: 31671 Epoch: [3] [4990/5278] eta: 0:12:07 lr: 4.553844581485285e-05 loss: 0.1514 (0.1609) loss_seg: 0.1571 (0.1740) loss_lansim: 0.1014 (0.1032) loss_contra: 0.0015 (0.0285) time: 2.5112 data: 0.0027 max mem: 31671 Epoch: [3] [5000/5278] eta: 0:11:42 lr: 4.553629206888358e-05 loss: 0.1487 (0.1609) loss_seg: 0.1550 (0.1740) loss_lansim: 0.0996 (0.1032) loss_contra: 0.0014 (0.0285) time: 2.5180 data: 0.0027 max mem: 31671 Epoch: [3] [5010/5278] eta: 0:11:17 lr: 4.553413831159573e-05 loss: 0.1429 (0.1609) loss_seg: 0.1516 (0.1740) loss_lansim: 0.0993 (0.1032) loss_contra: 0.0008 (0.0285) time: 2.5263 data: 0.0026 max mem: 31671 Epoch: [3] [5020/5278] eta: 0:10:52 lr: 4.553198454298868e-05 loss: 0.1514 (0.1610) loss_seg: 0.1558 (0.1742) loss_lansim: 0.1001 (0.1031) loss_contra: 0.0006 (0.0285) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [3] [5030/5278] eta: 0:10:26 lr: 4.552983076306177e-05 loss: 0.1514 (0.1611) loss_seg: 0.1592 (0.1742) loss_lansim: 0.1022 (0.1031) loss_contra: 0.0007 (0.0284) time: 2.5405 data: 0.0026 max mem: 31671 Epoch: [3] [5040/5278] eta: 0:10:01 lr: 4.5527676971814326e-05 loss: 0.1510 (0.1611) loss_seg: 0.1592 (0.1742) loss_lansim: 0.1023 (0.1031) loss_contra: 0.0007 (0.0284) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [3] [5050/5278] eta: 0:09:36 lr: 4.552552316924572e-05 loss: 0.1514 (0.1611) loss_seg: 0.1619 (0.1742) loss_lansim: 0.1016 (0.1031) loss_contra: 0.0009 (0.0284) time: 2.5404 data: 0.0026 max mem: 31671 Epoch: [3] [5060/5278] eta: 0:09:10 lr: 4.552336935535528e-05 loss: 0.1483 (0.1611) loss_seg: 0.1601 (0.1742) loss_lansim: 0.1022 (0.1031) loss_contra: 0.0010 (0.0284) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [3] [5070/5278] eta: 0:08:45 lr: 4.552121553014235e-05 loss: 0.1510 (0.1611) loss_seg: 0.1619 (0.1742) loss_lansim: 0.1022 (0.1031) loss_contra: 0.0010 (0.0286) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [3] [5080/5278] eta: 0:08:20 lr: 4.551906169360629e-05 loss: 0.1455 (0.1611) loss_seg: 0.1601 (0.1743) loss_lansim: 0.1024 (0.1032) loss_contra: 0.0010 (0.0285) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [3] [5090/5278] eta: 0:07:55 lr: 4.551690784574642e-05 loss: 0.1483 (0.1611) loss_seg: 0.1619 (0.1743) loss_lansim: 0.1028 (0.1032) loss_contra: 0.0009 (0.0285) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [3] [5100/5278] eta: 0:07:29 lr: 4.551475398656213e-05 loss: 0.1510 (0.1611) loss_seg: 0.1651 (0.1743) loss_lansim: 0.1052 (0.1032) loss_contra: 0.0009 (0.0285) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [3] [5110/5278] eta: 0:07:04 lr: 4.551260011605271e-05 loss: 0.1510 (0.1612) loss_seg: 0.1642 (0.1743) loss_lansim: 0.1060 (0.1032) loss_contra: 0.0009 (0.0285) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [3] [5120/5278] eta: 0:06:39 lr: 4.551044623421754e-05 loss: 0.1475 (0.1611) loss_seg: 0.1601 (0.1743) loss_lansim: 0.1067 (0.1032) loss_contra: 0.0010 (0.0285) time: 2.5109 data: 0.0024 max mem: 31671 Epoch: [3] [5130/5278] eta: 0:06:13 lr: 4.550829234105596e-05 loss: 0.1441 (0.1611) loss_seg: 0.1595 (0.1742) loss_lansim: 0.1066 (0.1032) loss_contra: 0.0009 (0.0285) time: 2.4951 data: 0.0025 max mem: 31671 Epoch: [3] [5140/5278] eta: 0:05:48 lr: 4.5506138436567305e-05 loss: 0.1440 (0.1612) loss_seg: 0.1550 (0.1743) loss_lansim: 0.1070 (0.1032) loss_contra: 0.0010 (0.0285) time: 2.4871 data: 0.0024 max mem: 31671 Epoch: [3] [5150/5278] eta: 0:05:23 lr: 4.550398452075093e-05 loss: 0.1440 (0.1612) loss_seg: 0.1550 (0.1743) loss_lansim: 0.1081 (0.1032) loss_contra: 0.0009 (0.0284) time: 2.4766 data: 0.0024 max mem: 31671 Epoch: [3] [5160/5278] eta: 0:04:58 lr: 4.550183059360617e-05 loss: 0.1431 (0.1612) loss_seg: 0.1550 (0.1743) loss_lansim: 0.1066 (0.1032) loss_contra: 0.0006 (0.0284) time: 2.4696 data: 0.0024 max mem: 31671 Epoch: [3] [5170/5278] eta: 0:04:32 lr: 4.5499676655132376e-05 loss: 0.1431 (0.1611) loss_seg: 0.1550 (0.1743) loss_lansim: 0.1071 (0.1032) loss_contra: 0.0004 (0.0284) time: 2.4705 data: 0.0025 max mem: 31671 Epoch: [3] [5180/5278] eta: 0:04:07 lr: 4.54975227053289e-05 loss: 0.1417 (0.1611) loss_seg: 0.1543 (0.1743) loss_lansim: 0.1065 (0.1032) loss_contra: 0.0004 (0.0283) time: 2.4520 data: 0.0025 max mem: 31671 Epoch: [3] [5190/5278] eta: 0:03:42 lr: 4.5495368744195074e-05 loss: 0.1417 (0.1611) loss_seg: 0.1543 (0.1743) loss_lansim: 0.1053 (0.1033) loss_contra: 0.0004 (0.0283) time: 2.4584 data: 0.0024 max mem: 31671 Epoch: [3] [5200/5278] eta: 0:03:17 lr: 4.549321477173024e-05 loss: 0.1397 (0.1612) loss_seg: 0.1485 (0.1743) loss_lansim: 0.1078 (0.1033) loss_contra: 0.0004 (0.0282) time: 2.4574 data: 0.0025 max mem: 31671 Epoch: [3] [5210/5278] eta: 0:02:51 lr: 4.549106078793375e-05 loss: 0.1397 (0.1612) loss_seg: 0.1463 (0.1743) loss_lansim: 0.1078 (0.1033) loss_contra: 0.0004 (0.0282) time: 2.4614 data: 0.0025 max mem: 31671 Epoch: [3] [5220/5278] eta: 0:02:26 lr: 4.548890679280495e-05 loss: 0.1417 (0.1612) loss_seg: 0.1532 (0.1744) loss_lansim: 0.1085 (0.1033) loss_contra: 0.0004 (0.0282) time: 2.4647 data: 0.0025 max mem: 31671 Epoch: [3] [5230/5278] eta: 0:02:01 lr: 4.548675278634319e-05 loss: 0.1431 (0.1612) loss_seg: 0.1577 (0.1744) loss_lansim: 0.1114 (0.1033) loss_contra: 0.0006 (0.0281) time: 2.4729 data: 0.0025 max mem: 31671 Epoch: [3] [5240/5278] eta: 0:01:35 lr: 4.5484598768547785e-05 loss: 0.1434 (0.1613) loss_seg: 0.1591 (0.1745) loss_lansim: 0.1120 (0.1034) loss_contra: 0.0006 (0.0281) time: 2.4831 data: 0.0025 max mem: 31671 Epoch: [3] [5250/5278] eta: 0:01:10 lr: 4.5482444739418106e-05 loss: 0.1432 (0.1613) loss_seg: 0.1587 (0.1745) loss_lansim: 0.1125 (0.1034) loss_contra: 0.0006 (0.0280) time: 2.4854 data: 0.0026 max mem: 31671 Epoch: [3] [5260/5278] eta: 0:00:45 lr: 4.54802906989535e-05 loss: 0.1634 (0.1613) loss_seg: 0.1710 (0.1745) loss_lansim: 0.1143 (0.1035) loss_contra: 0.0007 (0.0280) time: 2.4915 data: 0.0026 max mem: 31671 Epoch: [3] [5270/5278] eta: 0:00:20 lr: 4.547813664715328e-05 loss: 0.1688 (0.1614) loss_seg: 0.1818 (0.1745) loss_lansim: 0.1144 (0.1035) loss_contra: 0.0006 (0.0279) time: 2.5037 data: 0.0025 max mem: 31671 Epoch: [3] Total time: 3:42:12 Test: [ 0/2573] eta: 1:23:11 time: 1.9399 data: 1.7396 max mem: 31671 Test: [ 100/2573] eta: 0:06:39 time: 0.1437 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:08 time: 0.1487 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:43 time: 0.1425 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:24 time: 0.1443 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:08 time: 0.1465 data: 0.0017 max mem: 31671 Test: [ 600/2573] eta: 0:04:52 time: 0.1473 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:38 time: 0.1503 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:23 time: 0.1467 data: 0.0014 max mem: 31671 Test: [ 900/2573] eta: 0:04:08 time: 0.1485 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:53 time: 0.1474 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:38 time: 0.1462 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:23 time: 0.1488 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:08 time: 0.1469 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:53 time: 0.1428 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1474 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1461 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1458 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1432 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1424 data: 0.0014 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1435 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1474 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1424 data: 0.0014 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1462 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1434 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1474 data: 0.0015 max mem: 31671 Test: Total time: 0:06:17 Final results: precision@0.5 = 47.34 precision@0.6 = 40.67 precision@0.7 = 32.84 precision@0.8 = 22.22 precision@0.9 = 7.72 overall IoU = 46.40 mean IoU = 43.79 Average object IoU 0.43792988197777466 Overall IoU 46.40178194063651 Better epoch: 3 The best_performance is 46.40178194063651 Epoch: [4] [ 0/5278] eta: 5:40:36 lr: 4.547641339755105e-05 loss: 0.1655 (0.1655) loss_seg: 0.1838 (0.1838) loss_lansim: 0.1153 (0.1153) loss_contra: 0.0429 (0.0429) time: 3.8721 data: 1.2291 max mem: 31671 Epoch: [4] [ 10/5278] eta: 3:53:25 lr: 4.5474259325345125e-05 loss: 0.1404 (0.1241) loss_seg: 0.1448 (0.1336) loss_lansim: 0.1125 (0.1118) loss_contra: 0.0016 (0.0114) time: 2.6587 data: 0.1140 max mem: 31671 Epoch: [4] [ 20/5278] eta: 3:47:17 lr: 4.547210524180176e-05 loss: 0.1299 (0.1341) loss_seg: 0.1443 (0.1435) loss_lansim: 0.1093 (0.1088) loss_contra: 0.0004 (0.0065) time: 2.5938 data: 0.0607 max mem: 31671 Epoch: [4] [ 30/5278] eta: 3:43:33 lr: 4.5469951146920314e-05 loss: 0.1299 (0.1363) loss_seg: 0.1443 (0.1470) loss_lansim: 0.1080 (0.1065) loss_contra: 0.0004 (0.0065) time: 2.5559 data: 0.0420 max mem: 31671 Epoch: [4] [ 40/5278] eta: 3:43:44 lr: 4.546779704070013e-05 loss: 0.1388 (0.1444) loss_seg: 0.1448 (0.1558) loss_lansim: 0.1059 (0.1066) loss_contra: 0.0004 (0.0055) time: 2.5629 data: 0.0324 max mem: 31671 Epoch: [4] [ 50/5278] eta: 3:42:37 lr: 4.5465642923140533e-05 loss: 0.1399 (0.1478) loss_seg: 0.1524 (0.1602) loss_lansim: 0.1054 (0.1062) loss_contra: 0.0004 (0.0051) time: 2.5549 data: 0.0265 max mem: 31671 Epoch: [4] [ 60/5278] eta: 3:41:37 lr: 4.5463488794240883e-05 loss: 0.1404 (0.1536) loss_seg: 0.1540 (0.1660) loss_lansim: 0.1054 (0.1062) loss_contra: 0.0004 (0.0048) time: 2.5485 data: 0.0226 max mem: 31671 Epoch: [4] [ 70/5278] eta: 3:40:21 lr: 4.546133465400052e-05 loss: 0.1388 (0.1495) loss_seg: 0.1499 (0.1612) loss_lansim: 0.1018 (0.1047) loss_contra: 0.0004 (0.0043) time: 2.5386 data: 0.0198 max mem: 31671 Epoch: [4] [ 80/5278] eta: 3:40:10 lr: 4.545918050241878e-05 loss: 0.1388 (0.1530) loss_seg: 0.1499 (0.1658) loss_lansim: 0.1016 (0.1036) loss_contra: 0.0004 (0.0046) time: 2.5415 data: 0.0176 max mem: 31671 Epoch: [4] [ 90/5278] eta: 3:40:02 lr: 4.545702633949503e-05 loss: 0.1347 (0.1485) loss_seg: 0.1460 (0.1611) loss_lansim: 0.1016 (0.1029) loss_contra: 0.0004 (0.0042) time: 2.5448 data: 0.0159 max mem: 31671 Epoch: [4] [ 100/5278] eta: 3:38:52 lr: 4.5454872165228577e-05 loss: 0.1346 (0.1472) loss_seg: 0.1444 (0.1594) loss_lansim: 0.1011 (0.1022) loss_contra: 0.0004 (0.0045) time: 2.5228 data: 0.0024 max mem: 31671 Epoch: [4] [ 110/5278] eta: 3:38:14 lr: 4.545271797961879e-05 loss: 0.1299 (0.1475) loss_seg: 0.1443 (0.1595) loss_lansim: 0.1010 (0.1020) loss_contra: 0.0003 (0.0055) time: 2.5201 data: 0.0024 max mem: 31671 Epoch: [4] [ 120/5278] eta: 3:37:40 lr: 4.5450563782665e-05 loss: 0.1346 (0.1452) loss_seg: 0.1418 (0.1570) loss_lansim: 0.1008 (0.1018) loss_contra: 0.0004 (0.0052) time: 2.5193 data: 0.0025 max mem: 31671 Epoch: [4] [ 130/5278] eta: 3:37:15 lr: 4.544840957436657e-05 loss: 0.1346 (0.1466) loss_seg: 0.1418 (0.1589) loss_lansim: 0.0999 (0.1012) loss_contra: 0.0004 (0.0056) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [4] [ 140/5278] eta: 3:36:23 lr: 4.544625535472281e-05 loss: 0.1298 (0.1469) loss_seg: 0.1373 (0.1591) loss_lansim: 0.0980 (0.1013) loss_contra: 0.0003 (0.0055) time: 2.5122 data: 0.0025 max mem: 31671 Epoch: [4] [ 150/5278] eta: 3:36:01 lr: 4.5444101123733086e-05 loss: 0.1294 (0.1474) loss_seg: 0.1370 (0.1598) loss_lansim: 0.0976 (0.1012) loss_contra: 0.0003 (0.0052) time: 2.5136 data: 0.0026 max mem: 31671 Epoch: [4] [ 160/5278] eta: 3:35:01 lr: 4.544194688139674e-05 loss: 0.1201 (0.1467) loss_seg: 0.1325 (0.1587) loss_lansim: 0.0946 (0.1002) loss_contra: 0.0002 (0.0050) time: 2.5039 data: 0.0025 max mem: 31671 Epoch: [4] [ 170/5278] eta: 3:34:16 lr: 4.54397926277131e-05 loss: 0.1183 (0.1451) loss_seg: 0.1312 (0.1570) loss_lansim: 0.0952 (0.1000) loss_contra: 0.0002 (0.0056) time: 2.5015 data: 0.0025 max mem: 31671 Epoch: [4] [ 180/5278] eta: 3:34:17 lr: 4.5437638362681514e-05 loss: 0.1178 (0.1435) loss_seg: 0.1276 (0.1554) loss_lansim: 0.0922 (0.0993) loss_contra: 0.0002 (0.0060) time: 2.5064 data: 0.0025 max mem: 31671 Epoch: [4] [ 190/5278] eta: 3:33:47 lr: 4.543548408630134e-05 loss: 0.1183 (0.1431) loss_seg: 0.1312 (0.1550) loss_lansim: 0.0915 (0.0991) loss_contra: 0.0003 (0.0071) time: 2.4995 data: 0.0025 max mem: 31671 Epoch: [4] [ 200/5278] eta: 3:33:45 lr: 4.54333297985719e-05 loss: 0.1166 (0.1421) loss_seg: 0.1276 (0.1539) loss_lansim: 0.0913 (0.0986) loss_contra: 0.0004 (0.0085) time: 2.5153 data: 0.0025 max mem: 31671 Epoch: [4] [ 210/5278] eta: 3:33:39 lr: 4.543117549949255e-05 loss: 0.1147 (0.1408) loss_seg: 0.1271 (0.1526) loss_lansim: 0.0915 (0.0987) loss_contra: 0.0004 (0.0107) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [4] [ 220/5278] eta: 3:33:18 lr: 4.5429021189062625e-05 loss: 0.1144 (0.1402) loss_seg: 0.1271 (0.1521) loss_lansim: 0.0920 (0.0990) loss_contra: 0.0003 (0.0142) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [4] [ 230/5278] eta: 3:32:37 lr: 4.5426866867281464e-05 loss: 0.1144 (0.1403) loss_seg: 0.1271 (0.1522) loss_lansim: 0.0946 (0.0990) loss_contra: 0.0004 (0.0139) time: 2.5211 data: 0.0024 max mem: 31671 Epoch: [4] [ 240/5278] eta: 3:32:09 lr: 4.5424712534148414e-05 loss: 0.1088 (0.1400) loss_seg: 0.1210 (0.1517) loss_lansim: 0.0947 (0.0989) loss_contra: 0.0004 (0.0135) time: 2.5263 data: 0.0024 max mem: 31671 Epoch: [4] [ 250/5278] eta: 3:31:38 lr: 4.5422558189662826e-05 loss: 0.1088 (0.1407) loss_seg: 0.1210 (0.1525) loss_lansim: 0.0975 (0.0990) loss_contra: 0.0007 (0.0135) time: 2.5227 data: 0.0024 max mem: 31671 Epoch: [4] [ 260/5278] eta: 3:31:22 lr: 4.5420403833824036e-05 loss: 0.1166 (0.1409) loss_seg: 0.1296 (0.1527) loss_lansim: 0.0982 (0.0991) loss_contra: 0.0007 (0.0133) time: 2.5380 data: 0.0024 max mem: 31671 Epoch: [4] [ 270/5278] eta: 3:31:04 lr: 4.541824946663137e-05 loss: 0.1229 (0.1416) loss_seg: 0.1352 (0.1536) loss_lansim: 0.0976 (0.0989) loss_contra: 0.0007 (0.0128) time: 2.5493 data: 0.0024 max mem: 31671 Epoch: [4] [ 280/5278] eta: 3:30:46 lr: 4.541609508808418e-05 loss: 0.1265 (0.1421) loss_seg: 0.1368 (0.1543) loss_lansim: 0.0982 (0.0986) loss_contra: 0.0007 (0.0127) time: 2.5452 data: 0.0024 max mem: 31671 Epoch: [4] [ 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2.5526 data: 0.0025 max mem: 31671 Epoch: [4] [ 340/5278] eta: 3:28:32 lr: 4.540316857831926e-05 loss: 0.1356 (0.1433) loss_seg: 0.1451 (0.1557) loss_lansim: 0.0965 (0.0985) loss_contra: 0.0005 (0.0120) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [4] [ 350/5278] eta: 3:28:10 lr: 4.540101412027199e-05 loss: 0.1315 (0.1452) loss_seg: 0.1376 (0.1578) loss_lansim: 0.0947 (0.0985) loss_contra: 0.0005 (0.0132) time: 2.5569 data: 0.0025 max mem: 31671 Epoch: [4] [ 360/5278] eta: 3:27:45 lr: 4.539885965086492e-05 loss: 0.1191 (0.1441) loss_seg: 0.1298 (0.1566) loss_lansim: 0.0936 (0.0983) loss_contra: 0.0005 (0.0132) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [4] [ 370/5278] eta: 3:27:25 lr: 4.5396705170097415e-05 loss: 0.1161 (0.1440) loss_seg: 0.1290 (0.1566) loss_lansim: 0.0936 (0.0983) loss_contra: 0.0007 (0.0130) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [4] [ 380/5278] eta: 3:27:02 lr: 4.5394550677968794e-05 loss: 0.1212 (0.1447) loss_seg: 0.1298 (0.1573) loss_lansim: 0.0956 (0.0985) loss_contra: 0.0004 (0.0127) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [4] [ 390/5278] eta: 3:26:31 lr: 4.539239617447841e-05 loss: 0.1191 (0.1448) loss_seg: 0.1293 (0.1576) loss_lansim: 0.0973 (0.0990) loss_contra: 0.0003 (0.0127) time: 2.5485 data: 0.0025 max mem: 31671 Epoch: [4] [ 400/5278] eta: 3:26:01 lr: 4.5390241659625597e-05 loss: 0.1230 (0.1456) loss_seg: 0.1320 (0.1584) loss_lansim: 0.1014 (0.0992) loss_contra: 0.0003 (0.0127) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [4] [ 410/5278] eta: 3:25:27 lr: 4.538808713340969e-05 loss: 0.1297 (0.1458) loss_seg: 0.1368 (0.1585) loss_lansim: 0.1009 (0.0992) loss_contra: 0.0003 (0.0126) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [4] [ 420/5278] eta: 3:25:01 lr: 4.538593259583006e-05 loss: 0.1317 (0.1464) loss_seg: 0.1376 (0.1592) loss_lansim: 0.1019 (0.0996) loss_contra: 0.0003 (0.0124) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [4] [ 430/5278] eta: 3:24:39 lr: 4.538377804688601e-05 loss: 0.1335 (0.1467) loss_seg: 0.1439 (0.1594) loss_lansim: 0.1031 (0.0999) loss_contra: 0.0003 (0.0137) time: 2.5260 data: 0.0025 max mem: 31671 Epoch: [4] [ 440/5278] eta: 3:24:06 lr: 4.53816234865769e-05 loss: 0.1338 (0.1469) loss_seg: 0.1465 (0.1595) loss_lansim: 0.1041 (0.1002) loss_contra: 0.0004 (0.0139) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [4] [ 450/5278] eta: 3:23:43 lr: 4.5379468914902066e-05 loss: 0.1384 (0.1468) loss_seg: 0.1486 (0.1595) loss_lansim: 0.1048 (0.1004) loss_contra: 0.0007 (0.0145) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [4] [ 460/5278] eta: 3:23:06 lr: 4.5377314331860856e-05 loss: 0.1443 (0.1477) loss_seg: 0.1584 (0.1604) loss_lansim: 0.1070 (0.1007) loss_contra: 0.0011 (0.0166) time: 2.5104 data: 0.0025 max mem: 31671 Epoch: [4] [ 470/5278] eta: 3:22:39 lr: 4.537515973745259e-05 loss: 0.1432 (0.1467) loss_seg: 0.1579 (0.1593) loss_lansim: 0.1073 (0.1007) loss_contra: 0.0011 (0.0169) time: 2.5043 data: 0.0025 max mem: 31671 Epoch: [4] [ 480/5278] eta: 3:22:15 lr: 4.537300513167664e-05 loss: 0.1426 (0.1465) loss_seg: 0.1568 (0.1591) loss_lansim: 0.1075 (0.1010) loss_contra: 0.0016 (0.0176) time: 2.5029 data: 0.0025 max mem: 31671 Epoch: [4] [ 490/5278] eta: 3:21:47 lr: 4.537085051453232e-05 loss: 0.1417 (0.1464) loss_seg: 0.1526 (0.1591) loss_lansim: 0.1075 (0.1013) loss_contra: 0.0033 (0.0183) time: 2.5032 data: 0.0025 max mem: 31671 Epoch: [4] [ 500/5278] eta: 3:21:20 lr: 4.536869588601897e-05 loss: 0.1384 (0.1465) loss_seg: 0.1489 (0.1591) loss_lansim: 0.1085 (0.1016) loss_contra: 0.0039 (0.0183) time: 2.5054 data: 0.0025 max mem: 31671 Epoch: [4] [ 510/5278] eta: 3:20:53 lr: 4.536654124613595e-05 loss: 0.1362 (0.1466) loss_seg: 0.1489 (0.1591) loss_lansim: 0.1087 (0.1018) loss_contra: 0.0039 (0.0181) time: 2.5105 data: 0.0025 max mem: 31671 Epoch: [4] [ 520/5278] eta: 3:20:30 lr: 4.5364386594882586e-05 loss: 0.1343 (0.1468) loss_seg: 0.1473 (0.1594) loss_lansim: 0.1087 (0.1019) loss_contra: 0.0033 (0.0178) time: 2.5131 data: 0.0025 max mem: 31671 Epoch: [4] [ 530/5278] eta: 3:20:09 lr: 4.536223193225822e-05 loss: 0.1362 (0.1469) loss_seg: 0.1489 (0.1595) loss_lansim: 0.1090 (0.1022) loss_contra: 0.0026 (0.0176) time: 2.5147 data: 0.0026 max mem: 31671 Epoch: [4] [ 540/5278] eta: 3:19:42 lr: 4.53600772582622e-05 loss: 0.1343 (0.1469) loss_seg: 0.1489 (0.1595) loss_lansim: 0.1097 (0.1025) loss_contra: 0.0023 (0.0174) time: 2.5196 data: 0.0026 max mem: 31671 Epoch: [4] [ 550/5278] eta: 3:19:24 lr: 4.5357922572893846e-05 loss: 0.1341 (0.1469) loss_seg: 0.1414 (0.1595) loss_lansim: 0.1109 (0.1027) loss_contra: 0.0021 (0.0172) time: 2.5252 data: 0.0026 max mem: 31671 Epoch: [4] [ 560/5278] eta: 3:18:58 lr: 4.535576787615251e-05 loss: 0.1341 (0.1476) loss_seg: 0.1414 (0.1603) loss_lansim: 0.1110 (0.1031) loss_contra: 0.0013 (0.0170) time: 2.5354 data: 0.0026 max mem: 31671 Epoch: [4] [ 570/5278] eta: 3:18:34 lr: 4.5353613168037535e-05 loss: 0.1408 (0.1476) loss_seg: 0.1554 (0.1603) loss_lansim: 0.1142 (0.1032) loss_contra: 0.0012 (0.0170) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [4] [ 580/5278] eta: 3:18:09 lr: 4.5351458448548255e-05 loss: 0.1408 (0.1480) loss_seg: 0.1554 (0.1607) loss_lansim: 0.1149 (0.1035) loss_contra: 0.0012 (0.0169) time: 2.5383 data: 0.0026 max mem: 31671 Epoch: [4] [ 590/5278] eta: 3:17:43 lr: 4.534930371768402e-05 loss: 0.1413 (0.1486) loss_seg: 0.1563 (0.1613) loss_lansim: 0.1144 (0.1038) loss_contra: 0.0014 (0.0167) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [4] [ 600/5278] eta: 3:17:13 lr: 4.534714897544416e-05 loss: 0.1409 (0.1484) loss_seg: 0.1563 (0.1610) loss_lansim: 0.1139 (0.1040) loss_contra: 0.0014 (0.0165) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [4] [ 610/5278] eta: 3:16:46 lr: 4.5344994221828006e-05 loss: 0.1413 (0.1484) loss_seg: 0.1563 (0.1610) loss_lansim: 0.1142 (0.1042) loss_contra: 0.0011 (0.0163) time: 2.5356 data: 0.0025 max mem: 31671 Epoch: [4] [ 620/5278] eta: 3:16:19 lr: 4.534283945683491e-05 loss: 0.1408 (0.1483) loss_seg: 0.1536 (0.1609) loss_lansim: 0.1142 (0.1044) loss_contra: 0.0011 (0.0162) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [4] [ 630/5278] eta: 3:15:51 lr: 4.534068468046422e-05 loss: 0.1409 (0.1488) loss_seg: 0.1536 (0.1614) loss_lansim: 0.1145 (0.1047) loss_contra: 0.0008 (0.0159) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [4] [ 640/5278] eta: 3:15:25 lr: 4.533852989271525e-05 loss: 0.1408 (0.1484) loss_seg: 0.1527 (0.1610) loss_lansim: 0.1142 (0.1048) loss_contra: 0.0005 (0.0158) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [4] [ 650/5278] eta: 3:15:06 lr: 4.533637509358735e-05 loss: 0.1409 (0.1484) loss_seg: 0.1536 (0.1610) loss_lansim: 0.1145 (0.1050) loss_contra: 0.0008 (0.0162) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [4] [ 660/5278] eta: 3:14:36 lr: 4.533422028307987e-05 loss: 0.1408 (0.1487) loss_seg: 0.1530 (0.1613) loss_lansim: 0.1139 (0.1052) loss_contra: 0.0005 (0.0160) time: 2.5180 data: 0.0025 max mem: 31671 Epoch: [4] [ 670/5278] eta: 3:14:12 lr: 4.533206546119214e-05 loss: 0.1403 (0.1494) loss_seg: 0.1527 (0.1620) loss_lansim: 0.1151 (0.1054) loss_contra: 0.0006 (0.0163) time: 2.5182 data: 0.0025 max mem: 31671 Epoch: [4] [ 680/5278] eta: 3:13:48 lr: 4.5329910627923496e-05 loss: 0.1409 (0.1496) loss_seg: 0.1527 (0.1622) loss_lansim: 0.1137 (0.1057) loss_contra: 0.0005 (0.0177) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [4] [ 690/5278] eta: 3:13:22 lr: 4.5327755783273274e-05 loss: 0.1403 (0.1501) loss_seg: 0.1471 (0.1627) loss_lansim: 0.1152 (0.1061) loss_contra: 0.0004 (0.0177) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [4] [ 700/5278] eta: 3:12:59 lr: 4.5325600927240827e-05 loss: 0.1403 (0.1499) loss_seg: 0.1473 (0.1625) loss_lansim: 0.1145 (0.1062) loss_contra: 0.0004 (0.0178) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [4] [ 710/5278] eta: 3:12:32 lr: 4.5323446059825476e-05 loss: 0.1419 (0.1502) loss_seg: 0.1478 (0.1627) loss_lansim: 0.1152 (0.1065) loss_contra: 0.0005 (0.0176) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [4] [ 720/5278] eta: 3:12:07 lr: 4.532129118102658e-05 loss: 0.1450 (0.1501) loss_seg: 0.1535 (0.1626) loss_lansim: 0.1172 (0.1067) loss_contra: 0.0005 (0.0174) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [4] [ 730/5278] eta: 3:11:40 lr: 4.5319136290843456e-05 loss: 0.1419 (0.1502) loss_seg: 0.1531 (0.1628) loss_lansim: 0.1164 (0.1068) loss_contra: 0.0005 (0.0172) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [4] [ 740/5278] eta: 3:11:17 lr: 4.531698138927545e-05 loss: 0.1378 (0.1498) loss_seg: 0.1497 (0.1623) loss_lansim: 0.1154 (0.1068) loss_contra: 0.0007 (0.0175) time: 2.5363 data: 0.0025 max mem: 31671 Epoch: [4] [ 750/5278] eta: 3:10:55 lr: 4.531482647632192e-05 loss: 0.1368 (0.1496) loss_seg: 0.1478 (0.1621) loss_lansim: 0.1127 (0.1067) loss_contra: 0.0007 (0.0174) time: 2.5324 data: 0.0024 max mem: 31671 Epoch: [4] [ 760/5278] eta: 3:10:26 lr: 4.5312671551982164e-05 loss: 0.1368 (0.1499) loss_seg: 0.1478 (0.1624) loss_lansim: 0.1136 (0.1069) loss_contra: 0.0007 (0.0172) time: 2.5332 data: 0.0024 max mem: 31671 Epoch: [4] [ 770/5278] eta: 3:10:01 lr: 4.531051661625556e-05 loss: 0.1378 (0.1496) loss_seg: 0.1497 (0.1622) loss_lansim: 0.1154 (0.1072) loss_contra: 0.0006 (0.0170) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [4] [ 780/5278] eta: 3:09:34 lr: 4.530836166914142e-05 loss: 0.1378 (0.1495) loss_seg: 0.1497 (0.1621) loss_lansim: 0.1149 (0.1073) loss_contra: 0.0009 (0.0172) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [4] [ 790/5278] eta: 3:09:09 lr: 4.5306206710639094e-05 loss: 0.1327 (0.1496) loss_seg: 0.1471 (0.1622) loss_lansim: 0.1126 (0.1075) loss_contra: 0.0010 (0.0170) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [4] [ 800/5278] eta: 3:08:46 lr: 4.530405174074792e-05 loss: 0.1308 (0.1489) loss_seg: 0.1447 (0.1615) loss_lansim: 0.1127 (0.1076) loss_contra: 0.0010 (0.0168) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [4] [ 810/5278] eta: 3:08:23 lr: 4.5301896759467226e-05 loss: 0.1235 (0.1487) loss_seg: 0.1360 (0.1613) loss_lansim: 0.1124 (0.1077) loss_contra: 0.0009 (0.0168) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [4] [ 820/5278] eta: 3:07:58 lr: 4.5299741766796364e-05 loss: 0.1274 (0.1486) loss_seg: 0.1410 (0.1612) loss_lansim: 0.1123 (0.1079) loss_contra: 0.0009 (0.0166) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [4] [ 830/5278] eta: 3:07:32 lr: 4.529758676273466e-05 loss: 0.1235 (0.1484) loss_seg: 0.1360 (0.1610) loss_lansim: 0.1127 (0.1080) loss_contra: 0.0008 (0.0165) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [4] [ 840/5278] eta: 3:07:11 lr: 4.529543174728147e-05 loss: 0.1200 (0.1478) loss_seg: 0.1330 (0.1604) loss_lansim: 0.1124 (0.1079) loss_contra: 0.0006 (0.0168) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [4] [ 850/5278] eta: 3:06:43 lr: 4.52932767204361e-05 loss: 0.1235 (0.1480) loss_seg: 0.1330 (0.1605) loss_lansim: 0.1129 (0.1079) loss_contra: 0.0005 (0.0166) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [4] [ 860/5278] eta: 3:06:16 lr: 4.5291121682197905e-05 loss: 0.1195 (0.1479) loss_seg: 0.1302 (0.1604) loss_lansim: 0.1124 (0.1080) loss_contra: 0.0005 (0.0172) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [4] [ 870/5278] eta: 3:05:50 lr: 4.528896663256623e-05 loss: 0.1170 (0.1481) loss_seg: 0.1299 (0.1606) loss_lansim: 0.1111 (0.1079) loss_contra: 0.0006 (0.0170) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [4] [ 880/5278] eta: 3:05:24 lr: 4.5286811571540406e-05 loss: 0.1158 (0.1480) loss_seg: 0.1268 (0.1605) loss_lansim: 0.1094 (0.1079) loss_contra: 0.0006 (0.0173) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [4] [ 890/5278] eta: 3:05:02 lr: 4.5284656499119765e-05 loss: 0.1168 (0.1482) loss_seg: 0.1268 (0.1607) loss_lansim: 0.1094 (0.1079) loss_contra: 0.0009 (0.0184) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [4] [ 900/5278] eta: 3:04:36 lr: 4.528250141530365e-05 loss: 0.1280 (0.1481) loss_seg: 0.1410 (0.1606) loss_lansim: 0.1093 (0.1079) loss_contra: 0.0011 (0.0187) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [4] [ 910/5278] eta: 3:04:17 lr: 4.52803463200914e-05 loss: 0.1222 (0.1476) loss_seg: 0.1327 (0.1601) loss_lansim: 0.1093 (0.1079) loss_contra: 0.0019 (0.0189) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [4] [ 920/5278] eta: 3:03:51 lr: 4.5278191213482354e-05 loss: 0.1195 (0.1475) loss_seg: 0.1306 (0.1600) loss_lansim: 0.1060 (0.1078) loss_contra: 0.0019 (0.0187) time: 2.5435 data: 0.0025 max mem: 31671 Epoch: [4] [ 930/5278] eta: 3:03:22 lr: 4.527603609547583e-05 loss: 0.1222 (0.1476) loss_seg: 0.1296 (0.1600) loss_lansim: 0.1044 (0.1077) loss_contra: 0.0019 (0.0185) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [4] [ 940/5278] eta: 3:02:58 lr: 4.527388096607119e-05 loss: 0.1273 (0.1475) loss_seg: 0.1390 (0.1600) loss_lansim: 0.1055 (0.1078) loss_contra: 0.0016 (0.0184) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [4] [ 950/5278] eta: 3:02:31 lr: 4.527172582526775e-05 loss: 0.1252 (0.1475) loss_seg: 0.1371 (0.1600) loss_lansim: 0.1047 (0.1077) loss_contra: 0.0024 (0.0183) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [4] [ 960/5278] eta: 3:02:02 lr: 4.5269570673064864e-05 loss: 0.1273 (0.1476) loss_seg: 0.1389 (0.1600) loss_lansim: 0.1040 (0.1077) loss_contra: 0.0017 (0.0182) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [4] [ 970/5278] eta: 3:01:37 lr: 4.526741550946186e-05 loss: 0.1299 (0.1478) loss_seg: 0.1436 (0.1602) loss_lansim: 0.1047 (0.1077) loss_contra: 0.0017 (0.0180) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [4] [ 980/5278] eta: 3:01:09 lr: 4.526526033445807e-05 loss: 0.1296 (0.1476) loss_seg: 0.1415 (0.1600) loss_lansim: 0.1029 (0.1076) loss_contra: 0.0014 (0.0179) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [4] [ 990/5278] eta: 3:00:46 lr: 4.526310514805284e-05 loss: 0.1296 (0.1478) loss_seg: 0.1415 (0.1602) loss_lansim: 0.1029 (0.1076) loss_contra: 0.0010 (0.0194) time: 2.5229 data: 0.0025 max mem: 31671 Epoch: [4] [1000/5278] eta: 3:00:19 lr: 4.5260949950245504e-05 loss: 0.1273 (0.1478) loss_seg: 0.1344 (0.1602) loss_lansim: 0.1027 (0.1076) loss_contra: 0.0007 (0.0194) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [4] [1010/5278] eta: 2:59:56 lr: 4.525879474103539e-05 loss: 0.1280 (0.1476) loss_seg: 0.1389 (0.1600) loss_lansim: 0.1026 (0.1076) loss_contra: 0.0006 (0.0193) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [4] [1020/5278] eta: 2:59:27 lr: 4.525663952042185e-05 loss: 0.1296 (0.1480) loss_seg: 0.1398 (0.1604) loss_lansim: 0.1026 (0.1076) loss_contra: 0.0006 (0.0194) time: 2.5044 data: 0.0025 max mem: 31671 Epoch: [4] [1030/5278] eta: 2:58:59 lr: 4.525448428840421e-05 loss: 0.1296 (0.1480) loss_seg: 0.1398 (0.1604) loss_lansim: 0.1027 (0.1075) loss_contra: 0.0007 (0.0192) time: 2.5049 data: 0.0025 max mem: 31671 Epoch: [4] [1040/5278] eta: 2:58:34 lr: 4.525232904498181e-05 loss: 0.1340 (0.1481) loss_seg: 0.1409 (0.1606) loss_lansim: 0.1026 (0.1076) loss_contra: 0.0006 (0.0190) time: 2.5048 data: 0.0025 max mem: 31671 Epoch: [4] [1050/5278] eta: 2:58:06 lr: 4.525017379015398e-05 loss: 0.1399 (0.1484) loss_seg: 0.1489 (0.1608) loss_lansim: 0.1040 (0.1077) loss_contra: 0.0008 (0.0192) time: 2.5008 data: 0.0025 max mem: 31671 Epoch: [4] [1060/5278] eta: 2:57:39 lr: 4.524801852392006e-05 loss: 0.1383 (0.1485) loss_seg: 0.1489 (0.1609) loss_lansim: 0.1082 (0.1078) loss_contra: 0.0009 (0.0191) time: 2.5045 data: 0.0025 max mem: 31671 Epoch: [4] [1070/5278] eta: 2:57:12 lr: 4.524586324627939e-05 loss: 0.1340 (0.1484) loss_seg: 0.1446 (0.1608) loss_lansim: 0.1089 (0.1079) loss_contra: 0.0007 (0.0192) time: 2.4987 data: 0.0025 max mem: 31671 Epoch: [4] [1080/5278] eta: 2:56:45 lr: 4.52437079572313e-05 loss: 0.1412 (0.1487) loss_seg: 0.1559 (0.1611) loss_lansim: 0.1111 (0.1079) loss_contra: 0.0008 (0.0191) time: 2.5011 data: 0.0025 max mem: 31671 Epoch: [4] [1090/5278] eta: 2:56:18 lr: 4.524155265677513e-05 loss: 0.1400 (0.1487) loss_seg: 0.1503 (0.1611) loss_lansim: 0.1116 (0.1080) loss_contra: 0.0005 (0.0195) time: 2.4902 data: 0.0025 max mem: 31671 Epoch: [4] [1100/5278] eta: 2:55:51 lr: 4.523939734491021e-05 loss: 0.1400 (0.1487) loss_seg: 0.1507 (0.1611) loss_lansim: 0.1117 (0.1080) loss_contra: 0.0005 (0.0195) time: 2.4905 data: 0.0025 max mem: 31671 Epoch: [4] [1110/5278] eta: 2:55:27 lr: 4.5237242021635874e-05 loss: 0.1383 (0.1491) loss_seg: 0.1503 (0.1616) loss_lansim: 0.1127 (0.1080) loss_contra: 0.0008 (0.0194) time: 2.4872 data: 0.0025 max mem: 31671 Epoch: [4] [1120/5278] eta: 2:55:01 lr: 4.5235086686951464e-05 loss: 0.1357 (0.1491) loss_seg: 0.1479 (0.1615) loss_lansim: 0.1139 (0.1081) loss_contra: 0.0009 (0.0193) time: 2.4943 data: 0.0025 max mem: 31671 Epoch: [4] [1130/5278] eta: 2:54:34 lr: 4.523293134085633e-05 loss: 0.1349 (0.1488) loss_seg: 0.1446 (0.1612) loss_lansim: 0.1132 (0.1080) loss_contra: 0.0009 (0.0192) time: 2.4955 data: 0.0025 max mem: 31671 Epoch: [4] [1140/5278] eta: 2:54:09 lr: 4.523077598334978e-05 loss: 0.1252 (0.1489) loss_seg: 0.1360 (0.1613) loss_lansim: 0.1132 (0.1080) loss_contra: 0.0016 (0.0192) time: 2.4955 data: 0.0025 max mem: 31671 Epoch: [4] [1150/5278] eta: 2:53:44 lr: 4.522862061443116e-05 loss: 0.1212 (0.1490) loss_seg: 0.1338 (0.1614) loss_lansim: 0.1127 (0.1080) loss_contra: 0.0011 (0.0194) time: 2.5009 data: 0.0025 max mem: 31671 Epoch: [4] [1160/5278] eta: 2:53:18 lr: 4.5226465234099804e-05 loss: 0.1301 (0.1491) loss_seg: 0.1345 (0.1615) loss_lansim: 0.1089 (0.1079) loss_contra: 0.0011 (0.0201) time: 2.5023 data: 0.0025 max mem: 31671 Epoch: [4] [1170/5278] eta: 2:52:54 lr: 4.522430984235505e-05 loss: 0.1242 (0.1491) loss_seg: 0.1345 (0.1614) loss_lansim: 0.1064 (0.1079) loss_contra: 0.0017 (0.0206) time: 2.5113 data: 0.0026 max mem: 31671 Epoch: [4] [1180/5278] eta: 2:52:25 lr: 4.522215443919624e-05 loss: 0.1242 (0.1493) loss_seg: 0.1345 (0.1617) loss_lansim: 0.1060 (0.1080) loss_contra: 0.0026 (0.0216) time: 2.5051 data: 0.0026 max mem: 31671 Epoch: [4] [1190/5278] eta: 2:52:01 lr: 4.52199990246227e-05 loss: 0.1339 (0.1493) loss_seg: 0.1418 (0.1617) loss_lansim: 0.1054 (0.1079) loss_contra: 0.0016 (0.0217) time: 2.5118 data: 0.0026 max mem: 31671 Epoch: [4] [1200/5278] eta: 2:51:33 lr: 4.521784359863376e-05 loss: 0.1360 (0.1496) loss_seg: 0.1420 (0.1620) loss_lansim: 0.1046 (0.1079) loss_contra: 0.0022 (0.0215) time: 2.5096 data: 0.0026 max mem: 31671 Epoch: [4] [1210/5278] eta: 2:51:09 lr: 4.521568816122877e-05 loss: 0.1409 (0.1494) loss_seg: 0.1505 (0.1618) loss_lansim: 0.1015 (0.1079) loss_contra: 0.0023 (0.0220) time: 2.5094 data: 0.0026 max mem: 31671 Epoch: [4] [1220/5278] eta: 2:50:45 lr: 4.521353271240706e-05 loss: 0.1347 (0.1491) loss_seg: 0.1438 (0.1614) loss_lansim: 0.1012 (0.1078) loss_contra: 0.0022 (0.0220) time: 2.5140 data: 0.0026 max mem: 31671 Epoch: [4] [1230/5278] eta: 2:50:17 lr: 4.521137725216795e-05 loss: 0.1347 (0.1489) loss_seg: 0.1438 (0.1613) loss_lansim: 0.1009 (0.1077) loss_contra: 0.0024 (0.0223) time: 2.5131 data: 0.0026 max mem: 31671 Epoch: [4] [1240/5278] eta: 2:49:50 lr: 4.520922178051079e-05 loss: 0.1357 (0.1491) loss_seg: 0.1452 (0.1614) loss_lansim: 0.1009 (0.1077) loss_contra: 0.0023 (0.0225) time: 2.5042 data: 0.0026 max mem: 31671 Epoch: [4] [1250/5278] eta: 2:49:24 lr: 4.520706629743492e-05 loss: 0.1347 (0.1493) loss_seg: 0.1438 (0.1617) loss_lansim: 0.0994 (0.1075) loss_contra: 0.0025 (0.0225) time: 2.5021 data: 0.0026 max mem: 31671 Epoch: [4] [1260/5278] eta: 2:48:59 lr: 4.520491080293966e-05 loss: 0.1368 (0.1495) loss_seg: 0.1497 (0.1619) loss_lansim: 0.0999 (0.1075) loss_contra: 0.0026 (0.0226) time: 2.5039 data: 0.0026 max mem: 31671 Epoch: [4] [1270/5278] eta: 2:48:36 lr: 4.520275529702434e-05 loss: 0.1392 (0.1496) loss_seg: 0.1511 (0.1620) loss_lansim: 0.0993 (0.1075) loss_contra: 0.0022 (0.0224) time: 2.5088 data: 0.0025 max mem: 31671 Epoch: [4] [1280/5278] eta: 2:48:09 lr: 4.520059977968831e-05 loss: 0.1387 (0.1496) loss_seg: 0.1499 (0.1620) loss_lansim: 0.0969 (0.1074) loss_contra: 0.0022 (0.0225) time: 2.5128 data: 0.0025 max mem: 31671 Epoch: [4] [1290/5278] eta: 2:47:43 lr: 4.51984442509309e-05 loss: 0.1387 (0.1496) loss_seg: 0.1499 (0.1620) loss_lansim: 0.0970 (0.1073) loss_contra: 0.0023 (0.0232) time: 2.5085 data: 0.0025 max mem: 31671 Epoch: [4] [1300/5278] eta: 2:47:20 lr: 4.519628871075145e-05 loss: 0.1347 (0.1493) loss_seg: 0.1452 (0.1618) loss_lansim: 0.0967 (0.1073) loss_contra: 0.0025 (0.0234) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [4] [1310/5278] eta: 2:46:55 lr: 4.5194133159149276e-05 loss: 0.1333 (0.1490) loss_seg: 0.1421 (0.1614) loss_lansim: 0.0958 (0.1072) loss_contra: 0.0022 (0.0235) time: 2.5189 data: 0.0025 max mem: 31671 Epoch: [4] [1320/5278] eta: 2:46:29 lr: 4.5191977596123724e-05 loss: 0.1381 (0.1492) loss_seg: 0.1444 (0.1616) loss_lansim: 0.0953 (0.1072) loss_contra: 0.0021 (0.0234) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [4] [1330/5278] eta: 2:46:02 lr: 4.5189822021674136e-05 loss: 0.1412 (0.1494) loss_seg: 0.1548 (0.1618) loss_lansim: 0.0999 (0.1073) loss_contra: 0.0019 (0.0233) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [4] [1340/5278] eta: 2:45:38 lr: 4.518766643579983e-05 loss: 0.1412 (0.1494) loss_seg: 0.1548 (0.1617) loss_lansim: 0.1032 (0.1073) loss_contra: 0.0018 (0.0242) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [4] [1350/5278] eta: 2:45:10 lr: 4.518551083850015e-05 loss: 0.1424 (0.1494) loss_seg: 0.1548 (0.1618) loss_lansim: 0.1065 (0.1074) loss_contra: 0.0018 (0.0240) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [4] [1360/5278] eta: 2:44:46 lr: 4.518335522977442e-05 loss: 0.1424 (0.1496) loss_seg: 0.1535 (0.1619) loss_lansim: 0.1096 (0.1075) loss_contra: 0.0020 (0.0245) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [4] [1370/5278] eta: 2:44:22 lr: 4.518119960962199e-05 loss: 0.1381 (0.1494) loss_seg: 0.1483 (0.1617) loss_lansim: 0.1109 (0.1076) loss_contra: 0.0025 (0.0246) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [4] [1380/5278] eta: 2:43:55 lr: 4.5179043978042185e-05 loss: 0.1382 (0.1494) loss_seg: 0.1483 (0.1618) loss_lansim: 0.1116 (0.1077) loss_contra: 0.0029 (0.0246) time: 2.5180 data: 0.0025 max mem: 31671 Epoch: [4] [1390/5278] eta: 2:43:29 lr: 4.5176888335034326e-05 loss: 0.1334 (0.1493) loss_seg: 0.1461 (0.1616) loss_lansim: 0.1116 (0.1078) loss_contra: 0.0027 (0.0244) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [4] [1400/5278] eta: 2:43:04 lr: 4.517473268059777e-05 loss: 0.1340 (0.1494) loss_seg: 0.1483 (0.1617) loss_lansim: 0.1131 (0.1078) loss_contra: 0.0025 (0.0243) time: 2.5101 data: 0.0025 max mem: 31671 Epoch: [4] [1410/5278] eta: 2:42:42 lr: 4.517257701473183e-05 loss: 0.1395 (0.1494) loss_seg: 0.1535 (0.1618) loss_lansim: 0.1138 (0.1078) loss_contra: 0.0028 (0.0249) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [4] [1420/5278] eta: 2:42:17 lr: 4.517042133743586e-05 loss: 0.1424 (0.1496) loss_seg: 0.1548 (0.1619) loss_lansim: 0.1136 (0.1079) loss_contra: 0.0030 (0.0251) time: 2.5259 data: 0.0026 max mem: 31671 Epoch: [4] [1430/5278] eta: 2:41:52 lr: 4.516826564870917e-05 loss: 0.1404 (0.1495) loss_seg: 0.1533 (0.1618) loss_lansim: 0.1115 (0.1078) loss_contra: 0.0031 (0.0250) time: 2.5320 data: 0.0026 max mem: 31671 Epoch: [4] [1440/5278] eta: 2:41:26 lr: 4.516610994855111e-05 loss: 0.1456 (0.1500) loss_seg: 0.1570 (0.1623) loss_lansim: 0.1116 (0.1078) loss_contra: 0.0033 (0.0252) time: 2.5267 data: 0.0026 max mem: 31671 Epoch: [4] [1450/5278] eta: 2:41:00 lr: 4.516395423696101e-05 loss: 0.1456 (0.1501) loss_seg: 0.1570 (0.1625) loss_lansim: 0.1115 (0.1079) loss_contra: 0.0031 (0.0251) time: 2.5335 data: 0.0026 max mem: 31671 Epoch: [4] [1460/5278] eta: 2:40:36 lr: 4.51617985139382e-05 loss: 0.1440 (0.1504) loss_seg: 0.1562 (0.1628) loss_lansim: 0.1131 (0.1081) loss_contra: 0.0031 (0.0250) time: 2.5307 data: 0.0026 max mem: 31671 Epoch: [4] [1470/5278] eta: 2:40:11 lr: 4.515964277948202e-05 loss: 0.1485 (0.1506) loss_seg: 0.1594 (0.1630) loss_lansim: 0.1146 (0.1083) loss_contra: 0.0028 (0.0253) time: 2.5288 data: 0.0027 max mem: 31671 Epoch: [4] [1480/5278] eta: 2:39:45 lr: 4.515748703359178e-05 loss: 0.1472 (0.1504) loss_seg: 0.1562 (0.1628) loss_lansim: 0.1157 (0.1086) loss_contra: 0.0026 (0.0252) time: 2.5328 data: 0.0026 max mem: 31671 Epoch: [4] [1490/5278] eta: 2:39:19 lr: 4.515533127626684e-05 loss: 0.1485 (0.1504) loss_seg: 0.1581 (0.1627) loss_lansim: 0.1164 (0.1087) loss_contra: 0.0026 (0.0252) time: 2.5305 data: 0.0026 max mem: 31671 Epoch: [4] [1500/5278] eta: 2:38:53 lr: 4.515317550750652e-05 loss: 0.1485 (0.1504) loss_seg: 0.1581 (0.1628) loss_lansim: 0.1202 (0.1089) loss_contra: 0.0031 (0.0255) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [4] [1510/5278] eta: 2:38:27 lr: 4.515101972731016e-05 loss: 0.1485 (0.1504) loss_seg: 0.1581 (0.1628) loss_lansim: 0.1204 (0.1089) loss_contra: 0.0026 (0.0254) time: 2.5137 data: 0.0026 max mem: 31671 Epoch: [4] [1520/5278] eta: 2:38:03 lr: 4.514886393567708e-05 loss: 0.1473 (0.1506) loss_seg: 0.1581 (0.1629) loss_lansim: 0.1245 (0.1091) loss_contra: 0.0026 (0.0253) time: 2.5151 data: 0.0025 max mem: 31671 Epoch: [4] [1530/5278] eta: 2:37:38 lr: 4.514670813260663e-05 loss: 0.1485 (0.1505) loss_seg: 0.1525 (0.1628) loss_lansim: 0.1259 (0.1092) loss_contra: 0.0021 (0.0253) time: 2.5187 data: 0.0025 max mem: 31671 Epoch: [4] [1540/5278] eta: 2:37:14 lr: 4.514455231809813e-05 loss: 0.1430 (0.1504) loss_seg: 0.1462 (0.1627) loss_lansim: 0.1284 (0.1094) loss_contra: 0.0015 (0.0251) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [4] [1550/5278] eta: 2:36:47 lr: 4.5142396492150915e-05 loss: 0.1374 (0.1506) loss_seg: 0.1441 (0.1628) loss_lansim: 0.1289 (0.1095) loss_contra: 0.0021 (0.0251) time: 2.5220 data: 0.0024 max mem: 31671 Epoch: [4] [1560/5278] eta: 2:36:21 lr: 4.5140240654764316e-05 loss: 0.1374 (0.1505) loss_seg: 0.1441 (0.1628) loss_lansim: 0.1288 (0.1097) loss_contra: 0.0015 (0.0250) time: 2.5164 data: 0.0024 max mem: 31671 Epoch: [4] [1570/5278] eta: 2:35:55 lr: 4.5138084805937663e-05 loss: 0.1399 (0.1508) loss_seg: 0.1454 (0.1630) loss_lansim: 0.1279 (0.1098) loss_contra: 0.0021 (0.0250) time: 2.5112 data: 0.0024 max mem: 31671 Epoch: [4] [1580/5278] eta: 2:35:30 lr: 4.51359289456703e-05 loss: 0.1401 (0.1507) loss_seg: 0.1456 (0.1629) loss_lansim: 0.1288 (0.1100) loss_contra: 0.0021 (0.0249) time: 2.5096 data: 0.0024 max mem: 31671 Epoch: [4] [1590/5278] eta: 2:35:04 lr: 4.513377307396155e-05 loss: 0.1431 (0.1510) loss_seg: 0.1515 (0.1632) loss_lansim: 0.1312 (0.1102) loss_contra: 0.0019 (0.0248) time: 2.5122 data: 0.0024 max mem: 31671 Epoch: [4] [1600/5278] eta: 2:34:39 lr: 4.5131617190810746e-05 loss: 0.1401 (0.1511) loss_seg: 0.1514 (0.1633) loss_lansim: 0.1294 (0.1103) loss_contra: 0.0015 (0.0247) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [4] [1610/5278] eta: 2:34:16 lr: 4.5129461296217216e-05 loss: 0.1368 (0.1509) loss_seg: 0.1451 (0.1632) loss_lansim: 0.1340 (0.1105) loss_contra: 0.0014 (0.0246) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [4] [1620/5278] eta: 2:33:50 lr: 4.51273053901803e-05 loss: 0.1322 (0.1509) loss_seg: 0.1440 (0.1632) loss_lansim: 0.1340 (0.1107) loss_contra: 0.0013 (0.0245) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [4] [1630/5278] eta: 2:33:24 lr: 4.5125149472699327e-05 loss: 0.1322 (0.1510) loss_seg: 0.1456 (0.1632) loss_lansim: 0.1343 (0.1108) loss_contra: 0.0007 (0.0244) time: 2.5140 data: 0.0025 max mem: 31671 Epoch: [4] [1640/5278] eta: 2:32:59 lr: 4.512299354377362e-05 loss: 0.1307 (0.1507) loss_seg: 0.1440 (0.1629) loss_lansim: 0.1340 (0.1109) loss_contra: 0.0007 (0.0244) time: 2.5151 data: 0.0025 max mem: 31671 Epoch: [4] [1650/5278] eta: 2:32:35 lr: 4.512083760340252e-05 loss: 0.1367 (0.1508) loss_seg: 0.1440 (0.1631) loss_lansim: 0.1344 (0.1110) loss_contra: 0.0007 (0.0249) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [4] [1660/5278] eta: 2:32:09 lr: 4.511868165158537e-05 loss: 0.1311 (0.1510) loss_seg: 0.1440 (0.1632) loss_lansim: 0.1340 (0.1110) loss_contra: 0.0013 (0.0249) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [4] [1670/5278] eta: 2:31:44 lr: 4.511652568832147e-05 loss: 0.1307 (0.1509) loss_seg: 0.1433 (0.1631) loss_lansim: 0.1312 (0.1111) loss_contra: 0.0012 (0.0250) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [4] [1680/5278] eta: 2:31:19 lr: 4.5114369713610186e-05 loss: 0.1304 (0.1507) loss_seg: 0.1404 (0.1629) loss_lansim: 0.1259 (0.1112) loss_contra: 0.0008 (0.0252) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [4] [1690/5278] eta: 2:30:54 lr: 4.511221372745082e-05 loss: 0.1294 (0.1507) loss_seg: 0.1395 (0.1629) loss_lansim: 0.1231 (0.1112) loss_contra: 0.0014 (0.0252) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [4] [1700/5278] eta: 2:30:28 lr: 4.511005772984272e-05 loss: 0.1304 (0.1507) loss_seg: 0.1404 (0.1629) loss_lansim: 0.1231 (0.1113) loss_contra: 0.0008 (0.0250) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [4] [1710/5278] eta: 2:30:03 lr: 4.5107901720785226e-05 loss: 0.1309 (0.1508) loss_seg: 0.1433 (0.1629) loss_lansim: 0.1216 (0.1114) loss_contra: 0.0012 (0.0251) time: 2.5191 data: 0.0025 max mem: 31671 Epoch: [4] [1720/5278] eta: 2:29:37 lr: 4.5105745700277646e-05 loss: 0.1367 (0.1508) loss_seg: 0.1434 (0.1630) loss_lansim: 0.1217 (0.1115) loss_contra: 0.0012 (0.0250) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [4] [1730/5278] eta: 2:29:13 lr: 4.5103589668319325e-05 loss: 0.1367 (0.1507) loss_seg: 0.1433 (0.1629) loss_lansim: 0.1217 (0.1116) loss_contra: 0.0014 (0.0250) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [4] [1740/5278] eta: 2:28:47 lr: 4.510143362490959e-05 loss: 0.1467 (0.1509) loss_seg: 0.1531 (0.1631) loss_lansim: 0.1216 (0.1116) loss_contra: 0.0015 (0.0251) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [4] [1750/5278] eta: 2:28:22 lr: 4.5099277570047774e-05 loss: 0.1467 (0.1510) loss_seg: 0.1532 (0.1632) loss_lansim: 0.1208 (0.1117) loss_contra: 0.0014 (0.0250) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [4] [1760/5278] eta: 2:27:57 lr: 4.50971215037332e-05 loss: 0.1458 (0.1509) loss_seg: 0.1532 (0.1630) loss_lansim: 0.1208 (0.1117) loss_contra: 0.0012 (0.0249) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [4] [1770/5278] eta: 2:27:31 lr: 4.509496542596521e-05 loss: 0.1467 (0.1509) loss_seg: 0.1537 (0.1630) loss_lansim: 0.1223 (0.1118) loss_contra: 0.0009 (0.0249) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [4] [1780/5278] eta: 2:27:07 lr: 4.509280933674313e-05 loss: 0.1517 (0.1512) loss_seg: 0.1623 (0.1634) loss_lansim: 0.1228 (0.1119) loss_contra: 0.0009 (0.0248) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [4] [1790/5278] eta: 2:26:41 lr: 4.50906532360663e-05 loss: 0.1503 (0.1512) loss_seg: 0.1617 (0.1634) loss_lansim: 0.1226 (0.1119) loss_contra: 0.0007 (0.0249) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [4] [1800/5278] eta: 2:26:16 lr: 4.508849712393403e-05 loss: 0.1513 (0.1511) loss_seg: 0.1635 (0.1633) loss_lansim: 0.1228 (0.1121) loss_contra: 0.0007 (0.0248) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [4] [1810/5278] eta: 2:25:50 lr: 4.5086341000345665e-05 loss: 0.1513 (0.1512) loss_seg: 0.1635 (0.1634) loss_lansim: 0.1237 (0.1122) loss_contra: 0.0007 (0.0248) time: 2.5197 data: 0.0025 max mem: 31671 Epoch: [4] [1820/5278] eta: 2:25:26 lr: 4.5084184865300535e-05 loss: 0.1433 (0.1510) loss_seg: 0.1584 (0.1632) loss_lansim: 0.1227 (0.1123) loss_contra: 0.0007 (0.0249) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [4] [1830/5278] eta: 2:25:00 lr: 4.508202871879796e-05 loss: 0.1542 (0.1512) loss_seg: 0.1635 (0.1634) loss_lansim: 0.1235 (0.1124) loss_contra: 0.0007 (0.0248) time: 2.5197 data: 0.0025 max mem: 31671 Epoch: [4] [1840/5278] eta: 2:24:34 lr: 4.507987256083729e-05 loss: 0.1433 (0.1512) loss_seg: 0.1584 (0.1634) loss_lansim: 0.1238 (0.1125) loss_contra: 0.0006 (0.0247) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [4] [1850/5278] eta: 2:24:09 lr: 4.5077716391417836e-05 loss: 0.1433 (0.1512) loss_seg: 0.1584 (0.1634) loss_lansim: 0.1242 (0.1126) loss_contra: 0.0007 (0.0246) time: 2.5168 data: 0.0025 max mem: 31671 Epoch: [4] [1860/5278] eta: 2:23:43 lr: 4.507556021053893e-05 loss: 0.1503 (0.1512) loss_seg: 0.1635 (0.1634) loss_lansim: 0.1242 (0.1126) loss_contra: 0.0006 (0.0245) time: 2.5133 data: 0.0025 max mem: 31671 Epoch: [4] [1870/5278] eta: 2:23:17 lr: 4.507340401819991e-05 loss: 0.1426 (0.1511) loss_seg: 0.1551 (0.1633) loss_lansim: 0.1242 (0.1127) loss_contra: 0.0006 (0.0244) time: 2.5114 data: 0.0025 max mem: 31671 Epoch: [4] [1880/5278] eta: 2:22:51 lr: 4.5071247814400114e-05 loss: 0.1454 (0.1514) loss_seg: 0.1584 (0.1636) loss_lansim: 0.1241 (0.1128) loss_contra: 0.0005 (0.0243) time: 2.5062 data: 0.0026 max mem: 31671 Epoch: [4] [1890/5278] eta: 2:22:26 lr: 4.506909159913885e-05 loss: 0.1423 (0.1513) loss_seg: 0.1572 (0.1635) loss_lansim: 0.1249 (0.1128) loss_contra: 0.0005 (0.0243) time: 2.5096 data: 0.0026 max mem: 31671 Epoch: [4] [1900/5278] eta: 2:22:03 lr: 4.506693537241546e-05 loss: 0.1413 (0.1511) loss_seg: 0.1551 (0.1634) loss_lansim: 0.1237 (0.1128) loss_contra: 0.0006 (0.0246) time: 2.5170 data: 0.0026 max mem: 31671 Epoch: [4] [1910/5278] eta: 2:21:39 lr: 4.5064779134229276e-05 loss: 0.1411 (0.1511) loss_seg: 0.1503 (0.1633) loss_lansim: 0.1221 (0.1129) loss_contra: 0.0005 (0.0245) time: 2.5280 data: 0.0026 max mem: 31671 Epoch: [4] [1920/5278] eta: 2:21:13 lr: 4.506262288457962e-05 loss: 0.1413 (0.1510) loss_seg: 0.1551 (0.1633) loss_lansim: 0.1211 (0.1129) loss_contra: 0.0004 (0.0250) time: 2.5204 data: 0.0026 max mem: 31671 Epoch: [4] [1930/5278] eta: 2:20:48 lr: 4.5060466623465825e-05 loss: 0.1317 (0.1510) loss_seg: 0.1416 (0.1632) loss_lansim: 0.1202 (0.1130) loss_contra: 0.0005 (0.0249) time: 2.5246 data: 0.0026 max mem: 31671 Epoch: [4] [1940/5278] eta: 2:20:24 lr: 4.505831035088722e-05 loss: 0.1276 (0.1510) loss_seg: 0.1405 (0.1632) loss_lansim: 0.1196 (0.1130) loss_contra: 0.0007 (0.0248) time: 2.5313 data: 0.0026 max mem: 31671 Epoch: [4] [1950/5278] eta: 2:19:59 lr: 4.505615406684314e-05 loss: 0.1227 (0.1510) loss_seg: 0.1340 (0.1632) loss_lansim: 0.1196 (0.1130) loss_contra: 0.0006 (0.0247) time: 2.5360 data: 0.0026 max mem: 31671 Epoch: [4] [1960/5278] eta: 2:19:34 lr: 4.505399777133292e-05 loss: 0.1226 (0.1510) loss_seg: 0.1336 (0.1632) loss_lansim: 0.1196 (0.1130) loss_contra: 0.0007 (0.0247) time: 2.5433 data: 0.0026 max mem: 31671 Epoch: [4] [1970/5278] eta: 2:19:09 lr: 4.505184146435586e-05 loss: 0.1261 (0.1509) loss_seg: 0.1400 (0.1632) loss_lansim: 0.1169 (0.1130) loss_contra: 0.0008 (0.0246) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [4] [1980/5278] eta: 2:18:43 lr: 4.504968514591132e-05 loss: 0.1236 (0.1510) loss_seg: 0.1336 (0.1632) loss_lansim: 0.1169 (0.1131) loss_contra: 0.0008 (0.0246) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [4] [1990/5278] eta: 2:18:19 lr: 4.504752881599861e-05 loss: 0.1317 (0.1510) loss_seg: 0.1420 (0.1633) loss_lansim: 0.1156 (0.1132) loss_contra: 0.0008 (0.0245) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [4] [2000/5278] eta: 2:17:54 lr: 4.504537247461707e-05 loss: 0.1349 (0.1511) loss_seg: 0.1500 (0.1633) loss_lansim: 0.1197 (0.1132) loss_contra: 0.0011 (0.0245) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [4] [2010/5278] eta: 2:17:29 lr: 4.504321612176603e-05 loss: 0.1379 (0.1512) loss_seg: 0.1526 (0.1635) loss_lansim: 0.1196 (0.1133) loss_contra: 0.0012 (0.0246) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [4] [2020/5278] eta: 2:17:04 lr: 4.5041059757444806e-05 loss: 0.1336 (0.1510) loss_seg: 0.1457 (0.1633) loss_lansim: 0.1198 (0.1133) loss_contra: 0.0012 (0.0245) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [4] [2030/5278] eta: 2:16:38 lr: 4.503890338165274e-05 loss: 0.1406 (0.1511) loss_seg: 0.1526 (0.1634) loss_lansim: 0.1198 (0.1134) loss_contra: 0.0012 (0.0244) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [4] [2040/5278] eta: 2:16:13 lr: 4.503674699438916e-05 loss: 0.1421 (0.1512) loss_seg: 0.1530 (0.1635) loss_lansim: 0.1209 (0.1134) loss_contra: 0.0008 (0.0246) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [4] [2050/5278] eta: 2:15:48 lr: 4.503459059565339e-05 loss: 0.1421 (0.1511) loss_seg: 0.1530 (0.1634) loss_lansim: 0.1209 (0.1135) loss_contra: 0.0008 (0.0245) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [4] [2060/5278] eta: 2:15:22 lr: 4.503243418544476e-05 loss: 0.1406 (0.1510) loss_seg: 0.1526 (0.1633) loss_lansim: 0.1213 (0.1135) loss_contra: 0.0008 (0.0244) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [4] [2070/5278] eta: 2:14:56 lr: 4.503027776376259e-05 loss: 0.1421 (0.1509) loss_seg: 0.1530 (0.1632) loss_lansim: 0.1209 (0.1135) loss_contra: 0.0008 (0.0244) time: 2.5203 data: 0.0025 max mem: 31671 Epoch: [4] [2080/5278] eta: 2:14:32 lr: 4.5028121330606217e-05 loss: 0.1422 (0.1510) loss_seg: 0.1543 (0.1633) loss_lansim: 0.1205 (0.1135) loss_contra: 0.0007 (0.0243) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [4] [2090/5278] eta: 2:14:07 lr: 4.5025964885974976e-05 loss: 0.1406 (0.1510) loss_seg: 0.1494 (0.1633) loss_lansim: 0.1209 (0.1135) loss_contra: 0.0008 (0.0243) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [4] [2100/5278] eta: 2:13:42 lr: 4.502380842986818e-05 loss: 0.1346 (0.1509) loss_seg: 0.1457 (0.1632) loss_lansim: 0.1210 (0.1136) loss_contra: 0.0007 (0.0242) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [4] [2110/5278] eta: 2:13:17 lr: 4.502165196228517e-05 loss: 0.1445 (0.1511) loss_seg: 0.1471 (0.1634) loss_lansim: 0.1205 (0.1136) loss_contra: 0.0007 (0.0242) time: 2.5301 data: 0.0024 max mem: 31671 Epoch: [4] [2120/5278] eta: 2:12:53 lr: 4.501949548322527e-05 loss: 0.1513 (0.1512) loss_seg: 0.1651 (0.1635) loss_lansim: 0.1192 (0.1136) loss_contra: 0.0007 (0.0242) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [4] [2130/5278] eta: 2:12:27 lr: 4.501733899268781e-05 loss: 0.1513 (0.1515) loss_seg: 0.1651 (0.1638) loss_lansim: 0.1192 (0.1136) loss_contra: 0.0008 (0.0241) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [4] [2140/5278] eta: 2:12:02 lr: 4.501518249067211e-05 loss: 0.1569 (0.1518) loss_seg: 0.1686 (0.1641) loss_lansim: 0.1188 (0.1137) loss_contra: 0.0009 (0.0242) time: 2.5350 data: 0.0024 max mem: 31671 Epoch: [4] [2150/5278] eta: 2:11:38 lr: 4.5013025977177506e-05 loss: 0.1586 (0.1517) loss_seg: 0.1705 (0.1640) loss_lansim: 0.1163 (0.1136) loss_contra: 0.0010 (0.0241) time: 2.5405 data: 0.0024 max mem: 31671 Epoch: [4] [2160/5278] eta: 2:11:13 lr: 4.501086945220332e-05 loss: 0.1565 (0.1516) loss_seg: 0.1682 (0.1639) loss_lansim: 0.1162 (0.1136) loss_contra: 0.0010 (0.0241) time: 2.5501 data: 0.0024 max mem: 31671 Epoch: [4] [2170/5278] eta: 2:10:47 lr: 4.500871291574888e-05 loss: 0.1554 (0.1516) loss_seg: 0.1686 (0.1639) loss_lansim: 0.1158 (0.1136) loss_contra: 0.0012 (0.0241) time: 2.5487 data: 0.0024 max mem: 31671 Epoch: [4] [2180/5278] eta: 2:10:22 lr: 4.500655636781353e-05 loss: 0.1554 (0.1517) loss_seg: 0.1686 (0.1640) loss_lansim: 0.1156 (0.1136) loss_contra: 0.0012 (0.0241) time: 2.5455 data: 0.0024 max mem: 31671 Epoch: [4] [2190/5278] eta: 2:09:57 lr: 4.500439980839657e-05 loss: 0.1541 (0.1517) loss_seg: 0.1686 (0.1640) loss_lansim: 0.1156 (0.1136) loss_contra: 0.0009 (0.0240) time: 2.5441 data: 0.0024 max mem: 31671 Epoch: [4] [2200/5278] eta: 2:09:33 lr: 4.500224323749735e-05 loss: 0.1612 (0.1517) loss_seg: 0.1725 (0.1641) loss_lansim: 0.1143 (0.1136) loss_contra: 0.0010 (0.0241) time: 2.5512 data: 0.0024 max mem: 31671 Epoch: [4] [2210/5278] eta: 2:09:07 lr: 4.500008665511519e-05 loss: 0.1549 (0.1517) loss_seg: 0.1699 (0.1641) loss_lansim: 0.1143 (0.1136) loss_contra: 0.0008 (0.0240) time: 2.5403 data: 0.0024 max mem: 31671 Epoch: [4] [2220/5278] eta: 2:08:41 lr: 4.4997930061249414e-05 loss: 0.1549 (0.1520) loss_seg: 0.1725 (0.1643) loss_lansim: 0.1135 (0.1137) loss_contra: 0.0008 (0.0240) time: 2.5302 data: 0.0024 max mem: 31671 Epoch: [4] [2230/5278] eta: 2:08:15 lr: 4.499577345589935e-05 loss: 0.1473 (0.1518) loss_seg: 0.1636 (0.1642) loss_lansim: 0.1134 (0.1137) loss_contra: 0.0008 (0.0239) time: 2.5283 data: 0.0024 max mem: 31671 Epoch: [4] [2240/5278] eta: 2:07:49 lr: 4.499361683906433e-05 loss: 0.1332 (0.1516) loss_seg: 0.1450 (0.1640) loss_lansim: 0.1124 (0.1137) loss_contra: 0.0007 (0.0240) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [4] [2250/5278] eta: 2:07:24 lr: 4.499146021074368e-05 loss: 0.1408 (0.1517) loss_seg: 0.1481 (0.1641) loss_lansim: 0.1134 (0.1137) loss_contra: 0.0006 (0.0239) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [4] [2260/5278] eta: 2:06:59 lr: 4.498930357093672e-05 loss: 0.1450 (0.1518) loss_seg: 0.1614 (0.1642) loss_lansim: 0.1156 (0.1137) loss_contra: 0.0005 (0.0239) time: 2.5089 data: 0.0025 max mem: 31671 Epoch: [4] [2270/5278] eta: 2:06:34 lr: 4.498714691964279e-05 loss: 0.1475 (0.1517) loss_seg: 0.1637 (0.1641) loss_lansim: 0.1179 (0.1138) loss_contra: 0.0005 (0.0238) time: 2.5174 data: 0.0025 max mem: 31671 Epoch: [4] [2280/5278] eta: 2:06:10 lr: 4.49849902568612e-05 loss: 0.1447 (0.1517) loss_seg: 0.1509 (0.1641) loss_lansim: 0.1164 (0.1138) loss_contra: 0.0005 (0.0238) time: 2.5234 data: 0.0026 max mem: 31671 Epoch: [4] [2290/5278] eta: 2:05:44 lr: 4.498283358259129e-05 loss: 0.1440 (0.1516) loss_seg: 0.1494 (0.1640) loss_lansim: 0.1158 (0.1138) loss_contra: 0.0007 (0.0238) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [4] [2300/5278] eta: 2:05:19 lr: 4.498067689683239e-05 loss: 0.1407 (0.1515) loss_seg: 0.1456 (0.1639) loss_lansim: 0.1163 (0.1138) loss_contra: 0.0006 (0.0237) time: 2.5098 data: 0.0025 max mem: 31671 Epoch: [4] [2310/5278] eta: 2:04:53 lr: 4.497852019958381e-05 loss: 0.1358 (0.1514) loss_seg: 0.1450 (0.1638) loss_lansim: 0.1163 (0.1139) loss_contra: 0.0007 (0.0237) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [4] [2320/5278] eta: 2:04:27 lr: 4.497636349084489e-05 loss: 0.1358 (0.1515) loss_seg: 0.1450 (0.1638) loss_lansim: 0.1151 (0.1139) loss_contra: 0.0007 (0.0236) time: 2.5135 data: 0.0025 max mem: 31671 Epoch: [4] [2330/5278] eta: 2:04:02 lr: 4.497420677061496e-05 loss: 0.1407 (0.1513) loss_seg: 0.1467 (0.1637) loss_lansim: 0.1148 (0.1139) loss_contra: 0.0007 (0.0235) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [4] [2340/5278] eta: 2:03:37 lr: 4.497205003889333e-05 loss: 0.1418 (0.1513) loss_seg: 0.1494 (0.1636) loss_lansim: 0.1151 (0.1139) loss_contra: 0.0005 (0.0234) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [4] [2350/5278] eta: 2:03:12 lr: 4.4969893295679346e-05 loss: 0.1408 (0.1514) loss_seg: 0.1493 (0.1637) loss_lansim: 0.1149 (0.1139) loss_contra: 0.0007 (0.0234) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [4] [2360/5278] eta: 2:02:47 lr: 4.496773654097231e-05 loss: 0.1383 (0.1513) loss_seg: 0.1456 (0.1637) loss_lansim: 0.1132 (0.1139) loss_contra: 0.0008 (0.0233) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [4] [2370/5278] eta: 2:02:22 lr: 4.496557977477157e-05 loss: 0.1331 (0.1514) loss_seg: 0.1446 (0.1637) loss_lansim: 0.1133 (0.1139) loss_contra: 0.0008 (0.0232) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [4] [2380/5278] eta: 2:01:57 lr: 4.4963422997076456e-05 loss: 0.1407 (0.1515) loss_seg: 0.1493 (0.1638) loss_lansim: 0.1149 (0.1139) loss_contra: 0.0008 (0.0232) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [4] [2390/5278] eta: 2:01:31 lr: 4.496126620788627e-05 loss: 0.1407 (0.1514) loss_seg: 0.1493 (0.1637) loss_lansim: 0.1150 (0.1140) loss_contra: 0.0005 (0.0231) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [4] [2400/5278] eta: 2:01:07 lr: 4.495910940720035e-05 loss: 0.1397 (0.1514) loss_seg: 0.1493 (0.1637) loss_lansim: 0.1131 (0.1140) loss_contra: 0.0005 (0.0230) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [4] [2410/5278] eta: 2:00:42 lr: 4.4956952595018025e-05 loss: 0.1509 (0.1515) loss_seg: 0.1551 (0.1638) loss_lansim: 0.1124 (0.1139) loss_contra: 0.0005 (0.0229) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [4] [2420/5278] eta: 2:00:16 lr: 4.4954795771338625e-05 loss: 0.1509 (0.1515) loss_seg: 0.1551 (0.1638) loss_lansim: 0.1136 (0.1140) loss_contra: 0.0003 (0.0228) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [4] [2430/5278] eta: 1:59:51 lr: 4.4952638936161465e-05 loss: 0.1481 (0.1515) loss_seg: 0.1551 (0.1638) loss_lansim: 0.1165 (0.1140) loss_contra: 0.0005 (0.0228) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [4] [2440/5278] eta: 1:59:26 lr: 4.495048208948587e-05 loss: 0.1396 (0.1513) loss_seg: 0.1446 (0.1636) loss_lansim: 0.1133 (0.1140) loss_contra: 0.0005 (0.0227) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [4] [2450/5278] eta: 1:59:01 lr: 4.4948325231311186e-05 loss: 0.1310 (0.1513) loss_seg: 0.1446 (0.1636) loss_lansim: 0.1136 (0.1140) loss_contra: 0.0003 (0.0226) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [4] [2460/5278] eta: 1:58:35 lr: 4.494616836163672e-05 loss: 0.1305 (0.1512) loss_seg: 0.1441 (0.1635) loss_lansim: 0.1172 (0.1141) loss_contra: 0.0005 (0.0226) time: 2.5307 data: 0.0024 max mem: 31671 Epoch: [4] [2470/5278] eta: 1:58:10 lr: 4.494401148046179e-05 loss: 0.1304 (0.1512) loss_seg: 0.1438 (0.1635) loss_lansim: 0.1173 (0.1141) loss_contra: 0.0005 (0.0225) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [4] [2480/5278] eta: 1:57:44 lr: 4.494185458778574e-05 loss: 0.1304 (0.1513) loss_seg: 0.1435 (0.1635) loss_lansim: 0.1172 (0.1141) loss_contra: 0.0005 (0.0225) time: 2.5253 data: 0.0024 max mem: 31671 Epoch: [4] [2490/5278] eta: 1:57:19 lr: 4.493969768360788e-05 loss: 0.1380 (0.1513) loss_seg: 0.1438 (0.1636) loss_lansim: 0.1156 (0.1141) loss_contra: 0.0005 (0.0224) time: 2.5311 data: 0.0024 max mem: 31671 Epoch: [4] [2500/5278] eta: 1:56:55 lr: 4.493754076792755e-05 loss: 0.1377 (0.1513) loss_seg: 0.1441 (0.1635) loss_lansim: 0.1156 (0.1141) loss_contra: 0.0005 (0.0224) time: 2.5306 data: 0.0024 max mem: 31671 Epoch: [4] [2510/5278] eta: 1:56:30 lr: 4.493538384074407e-05 loss: 0.1304 (0.1512) loss_seg: 0.1386 (0.1634) loss_lansim: 0.1156 (0.1141) loss_contra: 0.0005 (0.0223) time: 2.5341 data: 0.0024 max mem: 31671 Epoch: [4] [2520/5278] eta: 1:56:05 lr: 4.4933226902056766e-05 loss: 0.1293 (0.1512) loss_seg: 0.1367 (0.1635) loss_lansim: 0.1156 (0.1142) loss_contra: 0.0006 (0.0222) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [4] [2530/5278] eta: 1:55:39 lr: 4.493106995186495e-05 loss: 0.1304 (0.1512) loss_seg: 0.1386 (0.1635) loss_lansim: 0.1156 (0.1142) loss_contra: 0.0006 (0.0222) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [4] [2540/5278] eta: 1:55:13 lr: 4.4928912990167965e-05 loss: 0.1322 (0.1511) loss_seg: 0.1448 (0.1634) loss_lansim: 0.1179 (0.1142) loss_contra: 0.0005 (0.0221) time: 2.5230 data: 0.0025 max mem: 31671 Epoch: [4] [2550/5278] eta: 1:54:48 lr: 4.4926756016965126e-05 loss: 0.1377 (0.1512) loss_seg: 0.1455 (0.1635) loss_lansim: 0.1181 (0.1142) loss_contra: 0.0005 (0.0221) time: 2.5193 data: 0.0025 max mem: 31671 Epoch: [4] [2560/5278] eta: 1:54:23 lr: 4.4924599032255764e-05 loss: 0.1370 (0.1513) loss_seg: 0.1455 (0.1636) loss_lansim: 0.1156 (0.1142) loss_contra: 0.0006 (0.0220) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [4] [2570/5278] eta: 1:53:58 lr: 4.4922442036039196e-05 loss: 0.1377 (0.1514) loss_seg: 0.1470 (0.1637) loss_lansim: 0.1144 (0.1142) loss_contra: 0.0005 (0.0220) time: 2.5251 data: 0.0026 max mem: 31671 Epoch: [4] [2580/5278] eta: 1:53:32 lr: 4.492028502831475e-05 loss: 0.1316 (0.1513) loss_seg: 0.1442 (0.1637) loss_lansim: 0.1144 (0.1142) loss_contra: 0.0006 (0.0220) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [4] [2590/5278] eta: 1:53:07 lr: 4.491812800908176e-05 loss: 0.1311 (0.1513) loss_seg: 0.1442 (0.1637) loss_lansim: 0.1133 (0.1142) loss_contra: 0.0006 (0.0219) time: 2.5269 data: 0.0026 max mem: 31671 Epoch: [4] [2600/5278] eta: 1:52:42 lr: 4.4915970978339533e-05 loss: 0.1296 (0.1515) loss_seg: 0.1433 (0.1638) loss_lansim: 0.1133 (0.1141) loss_contra: 0.0006 (0.0218) time: 2.5203 data: 0.0026 max mem: 31671 Epoch: [4] [2610/5278] eta: 1:52:16 lr: 4.491381393608741e-05 loss: 0.1330 (0.1515) loss_seg: 0.1442 (0.1639) loss_lansim: 0.1135 (0.1141) loss_contra: 0.0006 (0.0218) time: 2.5147 data: 0.0026 max mem: 31671 Epoch: [4] [2620/5278] eta: 1:51:51 lr: 4.4911656882324696e-05 loss: 0.1330 (0.1515) loss_seg: 0.1433 (0.1638) loss_lansim: 0.1144 (0.1142) loss_contra: 0.0007 (0.0217) time: 2.5079 data: 0.0026 max mem: 31671 Epoch: [4] [2630/5278] eta: 1:51:25 lr: 4.4909499817050744e-05 loss: 0.1330 (0.1514) loss_seg: 0.1401 (0.1638) loss_lansim: 0.1117 (0.1142) loss_contra: 0.0006 (0.0216) time: 2.5083 data: 0.0026 max mem: 31671 Epoch: [4] [2640/5278] eta: 1:51:00 lr: 4.490734274026485e-05 loss: 0.1293 (0.1513) loss_seg: 0.1387 (0.1636) loss_lansim: 0.1102 (0.1142) loss_contra: 0.0006 (0.0216) time: 2.5131 data: 0.0026 max mem: 31671 Epoch: [4] [2650/5278] eta: 1:50:34 lr: 4.4905185651966346e-05 loss: 0.1251 (0.1512) loss_seg: 0.1376 (0.1635) loss_lansim: 0.1101 (0.1141) loss_contra: 0.0006 (0.0215) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [4] [2660/5278] eta: 1:50:10 lr: 4.490302855215457e-05 loss: 0.1252 (0.1511) loss_seg: 0.1376 (0.1635) loss_lansim: 0.1108 (0.1142) loss_contra: 0.0006 (0.0214) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [4] [2670/5278] eta: 1:49:44 lr: 4.490087144082883e-05 loss: 0.1251 (0.1511) loss_seg: 0.1376 (0.1635) loss_lansim: 0.1109 (0.1142) loss_contra: 0.0006 (0.0215) time: 2.5155 data: 0.0025 max mem: 31671 Epoch: [4] [2680/5278] eta: 1:49:19 lr: 4.4898714317988456e-05 loss: 0.1208 (0.1510) loss_seg: 0.1333 (0.1634) loss_lansim: 0.1109 (0.1142) loss_contra: 0.0006 (0.0216) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [4] [2690/5278] eta: 1:48:54 lr: 4.489655718363277e-05 loss: 0.1241 (0.1510) loss_seg: 0.1376 (0.1634) loss_lansim: 0.1133 (0.1142) loss_contra: 0.0006 (0.0217) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [4] [2700/5278] eta: 1:48:28 lr: 4.4894400037761096e-05 loss: 0.1241 (0.1510) loss_seg: 0.1376 (0.1633) loss_lansim: 0.1133 (0.1142) loss_contra: 0.0006 (0.0216) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [4] [2710/5278] eta: 1:48:04 lr: 4.4892242880372766e-05 loss: 0.1208 (0.1510) loss_seg: 0.1342 (0.1633) loss_lansim: 0.1133 (0.1142) loss_contra: 0.0005 (0.0216) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [4] [2720/5278] eta: 1:47:39 lr: 4.48900857114671e-05 loss: 0.1241 (0.1510) loss_seg: 0.1378 (0.1634) loss_lansim: 0.1112 (0.1142) loss_contra: 0.0005 (0.0216) time: 2.5335 data: 0.0024 max mem: 31671 Epoch: [4] [2730/5278] eta: 1:47:14 lr: 4.48879285310434e-05 loss: 0.1241 (0.1511) loss_seg: 0.1378 (0.1634) loss_lansim: 0.1131 (0.1142) loss_contra: 0.0005 (0.0215) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [4] [2740/5278] eta: 1:46:48 lr: 4.488577133910102e-05 loss: 0.1282 (0.1512) loss_seg: 0.1389 (0.1636) loss_lansim: 0.1133 (0.1142) loss_contra: 0.0007 (0.0215) time: 2.5357 data: 0.0024 max mem: 31671 Epoch: [4] [2750/5278] eta: 1:46:23 lr: 4.4883614135639265e-05 loss: 0.1328 (0.1513) loss_seg: 0.1475 (0.1637) loss_lansim: 0.1133 (0.1142) loss_contra: 0.0005 (0.0214) time: 2.5353 data: 0.0024 max mem: 31671 Epoch: [4] [2760/5278] eta: 1:45:57 lr: 4.488145692065747e-05 loss: 0.1345 (0.1514) loss_seg: 0.1458 (0.1638) loss_lansim: 0.1131 (0.1142) loss_contra: 0.0005 (0.0214) time: 2.5224 data: 0.0024 max mem: 31671 Epoch: [4] [2770/5278] eta: 1:45:32 lr: 4.4879299694154945e-05 loss: 0.1312 (0.1514) loss_seg: 0.1433 (0.1638) loss_lansim: 0.1140 (0.1142) loss_contra: 0.0005 (0.0214) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [4] [2780/5278] eta: 1:45:06 lr: 4.487714245613103e-05 loss: 0.1312 (0.1512) loss_seg: 0.1433 (0.1636) loss_lansim: 0.1140 (0.1142) loss_contra: 0.0005 (0.0213) time: 2.5214 data: 0.0024 max mem: 31671 Epoch: [4] [2790/5278] eta: 1:44:41 lr: 4.487498520658503e-05 loss: 0.1288 (0.1514) loss_seg: 0.1385 (0.1637) loss_lansim: 0.1131 (0.1142) loss_contra: 0.0005 (0.0213) time: 2.5144 data: 0.0024 max mem: 31671 Epoch: [4] [2800/5278] eta: 1:44:16 lr: 4.4872827945516284e-05 loss: 0.1278 (0.1512) loss_seg: 0.1385 (0.1636) loss_lansim: 0.1140 (0.1142) loss_contra: 0.0005 (0.0212) time: 2.5249 data: 0.0024 max mem: 31671 Epoch: [4] [2810/5278] eta: 1:43:50 lr: 4.48706706729241e-05 loss: 0.1276 (0.1511) loss_seg: 0.1383 (0.1635) loss_lansim: 0.1140 (0.1142) loss_contra: 0.0004 (0.0212) time: 2.5168 data: 0.0024 max mem: 31671 Epoch: [4] [2820/5278] eta: 1:43:25 lr: 4.4868513388807816e-05 loss: 0.1282 (0.1512) loss_seg: 0.1418 (0.1636) loss_lansim: 0.1154 (0.1143) loss_contra: 0.0005 (0.0211) time: 2.5081 data: 0.0024 max mem: 31671 Epoch: [4] [2830/5278] eta: 1:43:01 lr: 4.486635609316675e-05 loss: 0.1258 (0.1511) loss_seg: 0.1383 (0.1635) loss_lansim: 0.1178 (0.1143) loss_contra: 0.0005 (0.0210) time: 2.5195 data: 0.0024 max mem: 31671 Epoch: [4] [2840/5278] eta: 1:42:36 lr: 4.486419878600021e-05 loss: 0.1258 (0.1510) loss_seg: 0.1383 (0.1634) loss_lansim: 0.1169 (0.1143) loss_contra: 0.0005 (0.0210) time: 2.5245 data: 0.0024 max mem: 31671 Epoch: [4] [2850/5278] eta: 1:42:11 lr: 4.486204146730754e-05 loss: 0.1258 (0.1511) loss_seg: 0.1383 (0.1635) loss_lansim: 0.1165 (0.1143) loss_contra: 0.0010 (0.0210) time: 2.5320 data: 0.0024 max mem: 31671 Epoch: [4] [2860/5278] eta: 1:41:45 lr: 4.485988413708805e-05 loss: 0.1258 (0.1510) loss_seg: 0.1338 (0.1634) loss_lansim: 0.1178 (0.1144) loss_contra: 0.0013 (0.0210) time: 2.5361 data: 0.0024 max mem: 31671 Epoch: [4] [2870/5278] eta: 1:41:20 lr: 4.485772679534106e-05 loss: 0.1276 (0.1513) loss_seg: 0.1391 (0.1636) loss_lansim: 0.1202 (0.1145) loss_contra: 0.0013 (0.0210) time: 2.5287 data: 0.0024 max mem: 31671 Epoch: [4] [2880/5278] eta: 1:40:55 lr: 4.485556944206591e-05 loss: 0.1283 (0.1513) loss_seg: 0.1420 (0.1636) loss_lansim: 0.1202 (0.1145) loss_contra: 0.0013 (0.0210) time: 2.5405 data: 0.0024 max mem: 31671 Epoch: [4] [2890/5278] eta: 1:40:30 lr: 4.48534120772619e-05 loss: 0.1304 (0.1512) loss_seg: 0.1418 (0.1635) loss_lansim: 0.1206 (0.1145) loss_contra: 0.0010 (0.0210) time: 2.5412 data: 0.0024 max mem: 31671 Epoch: [4] [2900/5278] eta: 1:40:04 lr: 4.4851254700928366e-05 loss: 0.1324 (0.1512) loss_seg: 0.1434 (0.1635) loss_lansim: 0.1237 (0.1146) loss_contra: 0.0013 (0.0211) time: 2.5364 data: 0.0024 max mem: 31671 Epoch: [4] [2910/5278] eta: 1:39:40 lr: 4.4849097313064627e-05 loss: 0.1367 (0.1512) loss_seg: 0.1471 (0.1635) loss_lansim: 0.1230 (0.1146) loss_contra: 0.0015 (0.0212) time: 2.5448 data: 0.0024 max mem: 31671 Epoch: [4] [2920/5278] eta: 1:39:14 lr: 4.484693991367001e-05 loss: 0.1322 (0.1510) loss_seg: 0.1384 (0.1633) loss_lansim: 0.1230 (0.1146) loss_contra: 0.0016 (0.0212) time: 2.5460 data: 0.0024 max mem: 31671 Epoch: [4] [2930/5278] eta: 1:38:49 lr: 4.484478250274383e-05 loss: 0.1324 (0.1510) loss_seg: 0.1391 (0.1633) loss_lansim: 0.1237 (0.1147) loss_contra: 0.0022 (0.0212) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [4] [2940/5278] eta: 1:38:24 lr: 4.48426250802854e-05 loss: 0.1330 (0.1510) loss_seg: 0.1393 (0.1633) loss_lansim: 0.1257 (0.1147) loss_contra: 0.0027 (0.0213) time: 2.5316 data: 0.0024 max mem: 31671 Epoch: [4] [2950/5278] eta: 1:37:59 lr: 4.484046764629406e-05 loss: 0.1360 (0.1511) loss_seg: 0.1406 (0.1634) loss_lansim: 0.1281 (0.1148) loss_contra: 0.0018 (0.0213) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [4] [2960/5278] eta: 1:37:35 lr: 4.483831020076913e-05 loss: 0.1330 (0.1510) loss_seg: 0.1406 (0.1633) loss_lansim: 0.1260 (0.1148) loss_contra: 0.0018 (0.0213) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [4] [2970/5278] eta: 1:37:09 lr: 4.483615274370992e-05 loss: 0.1292 (0.1509) loss_seg: 0.1380 (0.1632) loss_lansim: 0.1206 (0.1148) loss_contra: 0.0011 (0.0212) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [4] [2980/5278] eta: 1:36:44 lr: 4.483399527511576e-05 loss: 0.1292 (0.1508) loss_seg: 0.1380 (0.1631) loss_lansim: 0.1216 (0.1149) loss_contra: 0.0014 (0.0212) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [4] [2990/5278] eta: 1:36:20 lr: 4.483183779498597e-05 loss: 0.1262 (0.1507) loss_seg: 0.1350 (0.1630) loss_lansim: 0.1193 (0.1149) loss_contra: 0.0015 (0.0212) time: 2.5578 data: 0.0025 max mem: 31671 Epoch: [4] [3000/5278] eta: 1:35:54 lr: 4.482968030331986e-05 loss: 0.1196 (0.1506) loss_seg: 0.1326 (0.1628) loss_lansim: 0.1182 (0.1148) loss_contra: 0.0015 (0.0215) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [4] [3010/5278] eta: 1:35:29 lr: 4.4827522800116786e-05 loss: 0.1183 (0.1506) loss_seg: 0.1299 (0.1628) loss_lansim: 0.1174 (0.1149) loss_contra: 0.0015 (0.0214) time: 2.5454 data: 0.0025 max mem: 31671 Epoch: [4] [3020/5278] eta: 1:35:03 lr: 4.482536528537603e-05 loss: 0.1218 (0.1506) loss_seg: 0.1349 (0.1628) loss_lansim: 0.1172 (0.1149) loss_contra: 0.0018 (0.0214) time: 2.5487 data: 0.0025 max mem: 31671 Epoch: [4] [3030/5278] eta: 1:34:38 lr: 4.482320775909693e-05 loss: 0.1292 (0.1507) loss_seg: 0.1406 (0.1629) loss_lansim: 0.1164 (0.1149) loss_contra: 0.0015 (0.0216) time: 2.5481 data: 0.0025 max mem: 31671 Epoch: [4] [3040/5278] eta: 1:34:12 lr: 4.482105022127881e-05 loss: 0.1314 (0.1507) loss_seg: 0.1426 (0.1630) loss_lansim: 0.1170 (0.1150) loss_contra: 0.0007 (0.0215) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [4] [3050/5278] eta: 1:33:47 lr: 4.4818892671920985e-05 loss: 0.1301 (0.1508) loss_seg: 0.1435 (0.1630) loss_lansim: 0.1164 (0.1150) loss_contra: 0.0006 (0.0214) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [4] [3060/5278] eta: 1:33:21 lr: 4.481673511102278e-05 loss: 0.1356 (0.1509) loss_seg: 0.1442 (0.1631) loss_lansim: 0.1170 (0.1151) loss_contra: 0.0006 (0.0214) time: 2.5171 data: 0.0026 max mem: 31671 Epoch: [4] [3070/5278] eta: 1:32:56 lr: 4.481457753858351e-05 loss: 0.1356 (0.1508) loss_seg: 0.1458 (0.1630) loss_lansim: 0.1170 (0.1151) loss_contra: 0.0006 (0.0216) time: 2.5167 data: 0.0026 max mem: 31671 Epoch: [4] [3080/5278] eta: 1:32:31 lr: 4.4812419954602496e-05 loss: 0.1342 (0.1508) loss_seg: 0.1458 (0.1630) loss_lansim: 0.1161 (0.1151) loss_contra: 0.0005 (0.0216) time: 2.5152 data: 0.0026 max mem: 31671 Epoch: [4] [3090/5278] eta: 1:32:06 lr: 4.4810262359079075e-05 loss: 0.1356 (0.1507) loss_seg: 0.1460 (0.1630) loss_lansim: 0.1164 (0.1151) loss_contra: 0.0006 (0.0216) time: 2.5078 data: 0.0026 max mem: 31671 Epoch: [4] [3100/5278] eta: 1:31:40 lr: 4.4808104752012554e-05 loss: 0.1420 (0.1508) loss_seg: 0.1493 (0.1631) loss_lansim: 0.1181 (0.1151) loss_contra: 0.0006 (0.0215) time: 2.5051 data: 0.0026 max mem: 31671 Epoch: [4] [3110/5278] eta: 1:31:15 lr: 4.480594713340225e-05 loss: 0.1438 (0.1510) loss_seg: 0.1575 (0.1633) loss_lansim: 0.1219 (0.1151) loss_contra: 0.0007 (0.0217) time: 2.5077 data: 0.0026 max mem: 31671 Epoch: [4] [3120/5278] eta: 1:30:49 lr: 4.480378950324749e-05 loss: 0.1420 (0.1510) loss_seg: 0.1507 (0.1632) loss_lansim: 0.1182 (0.1151) loss_contra: 0.0007 (0.0217) time: 2.5075 data: 0.0026 max mem: 31671 Epoch: [4] [3130/5278] eta: 1:30:24 lr: 4.48016318615476e-05 loss: 0.1415 (0.1511) loss_seg: 0.1460 (0.1634) loss_lansim: 0.1214 (0.1152) loss_contra: 0.0006 (0.0217) time: 2.5046 data: 0.0026 max mem: 31671 Epoch: [4] [3140/5278] eta: 1:29:59 lr: 4.479947420830188e-05 loss: 0.1408 (0.1511) loss_seg: 0.1460 (0.1634) loss_lansim: 0.1182 (0.1152) loss_contra: 0.0007 (0.0217) time: 2.5093 data: 0.0025 max mem: 31671 Epoch: [4] [3150/5278] eta: 1:29:33 lr: 4.479731654350968e-05 loss: 0.1408 (0.1512) loss_seg: 0.1474 (0.1635) loss_lansim: 0.1175 (0.1153) loss_contra: 0.0007 (0.0217) time: 2.5080 data: 0.0025 max mem: 31671 Epoch: [4] [3160/5278] eta: 1:29:08 lr: 4.479515886717029e-05 loss: 0.1342 (0.1511) loss_seg: 0.1460 (0.1634) loss_lansim: 0.1182 (0.1153) loss_contra: 0.0008 (0.0218) time: 2.5104 data: 0.0025 max mem: 31671 Epoch: [4] [3170/5278] eta: 1:28:42 lr: 4.4793001179283054e-05 loss: 0.1330 (0.1511) loss_seg: 0.1465 (0.1633) loss_lansim: 0.1220 (0.1154) loss_contra: 0.0008 (0.0218) time: 2.5162 data: 0.0025 max mem: 31671 Epoch: [4] [3180/5278] eta: 1:28:17 lr: 4.4790843479847284e-05 loss: 0.1408 (0.1510) loss_seg: 0.1465 (0.1633) loss_lansim: 0.1245 (0.1154) loss_contra: 0.0008 (0.0219) time: 2.5116 data: 0.0025 max mem: 31671 Epoch: [4] [3190/5278] eta: 1:27:52 lr: 4.4788685768862295e-05 loss: 0.1408 (0.1510) loss_seg: 0.1475 (0.1633) loss_lansim: 0.1247 (0.1154) loss_contra: 0.0007 (0.0218) time: 2.5079 data: 0.0025 max mem: 31671 Epoch: [4] [3200/5278] eta: 1:27:27 lr: 4.478652804632741e-05 loss: 0.1319 (0.1511) loss_seg: 0.1458 (0.1633) loss_lansim: 0.1247 (0.1154) loss_contra: 0.0011 (0.0219) time: 2.5142 data: 0.0025 max mem: 31671 Epoch: [4] [3210/5278] eta: 1:27:01 lr: 4.478437031224195e-05 loss: 0.1291 (0.1510) loss_seg: 0.1418 (0.1633) loss_lansim: 0.1229 (0.1154) loss_contra: 0.0008 (0.0218) time: 2.5060 data: 0.0025 max mem: 31671 Epoch: [4] [3220/5278] eta: 1:26:36 lr: 4.478221256660524e-05 loss: 0.1305 (0.1510) loss_seg: 0.1418 (0.1632) loss_lansim: 0.1230 (0.1154) loss_contra: 0.0008 (0.0220) time: 2.5040 data: 0.0025 max mem: 31671 Epoch: [4] [3230/5278] eta: 1:26:10 lr: 4.478005480941659e-05 loss: 0.1306 (0.1510) loss_seg: 0.1416 (0.1633) loss_lansim: 0.1220 (0.1154) loss_contra: 0.0008 (0.0220) time: 2.5001 data: 0.0025 max mem: 31671 Epoch: [4] [3240/5278] eta: 1:25:44 lr: 4.4777897040675324e-05 loss: 0.1305 (0.1510) loss_seg: 0.1411 (0.1633) loss_lansim: 0.1220 (0.1155) loss_contra: 0.0008 (0.0220) time: 2.4933 data: 0.0025 max mem: 31671 Epoch: [4] [3250/5278] eta: 1:25:19 lr: 4.477573926038076e-05 loss: 0.1269 (0.1509) loss_seg: 0.1342 (0.1632) loss_lansim: 0.1220 (0.1155) loss_contra: 0.0008 (0.0221) time: 2.4982 data: 0.0025 max mem: 31671 Epoch: [4] [3260/5278] eta: 1:24:54 lr: 4.4773581468532225e-05 loss: 0.1243 (0.1509) loss_seg: 0.1339 (0.1632) loss_lansim: 0.1213 (0.1154) loss_contra: 0.0009 (0.0222) time: 2.5079 data: 0.0025 max mem: 31671 Epoch: [4] [3270/5278] eta: 1:24:29 lr: 4.477142366512902e-05 loss: 0.1233 (0.1508) loss_seg: 0.1338 (0.1631) loss_lansim: 0.1197 (0.1154) loss_contra: 0.0009 (0.0221) time: 2.5091 data: 0.0025 max mem: 31671 Epoch: [4] [3280/5278] eta: 1:24:04 lr: 4.476926585017049e-05 loss: 0.1262 (0.1509) loss_seg: 0.1342 (0.1631) loss_lansim: 0.1190 (0.1154) loss_contra: 0.0009 (0.0221) time: 2.5080 data: 0.0025 max mem: 31671 Epoch: [4] [3290/5278] eta: 1:23:38 lr: 4.476710802365593e-05 loss: 0.1262 (0.1508) loss_seg: 0.1342 (0.1631) loss_lansim: 0.1177 (0.1154) loss_contra: 0.0011 (0.0221) time: 2.5019 data: 0.0026 max mem: 31671 Epoch: [4] [3300/5278] eta: 1:23:13 lr: 4.476495018558468e-05 loss: 0.1291 (0.1509) loss_seg: 0.1383 (0.1631) loss_lansim: 0.1167 (0.1154) loss_contra: 0.0007 (0.0221) time: 2.5070 data: 0.0026 max mem: 31671 Epoch: [4] [3310/5278] eta: 1:22:48 lr: 4.476279233595605e-05 loss: 0.1262 (0.1507) loss_seg: 0.1346 (0.1630) loss_lansim: 0.1167 (0.1154) loss_contra: 0.0007 (0.0220) time: 2.5150 data: 0.0026 max mem: 31671 Epoch: [4] [3320/5278] eta: 1:22:23 lr: 4.476063447476935e-05 loss: 0.1332 (0.1508) loss_seg: 0.1411 (0.1631) loss_lansim: 0.1167 (0.1154) loss_contra: 0.0007 (0.0220) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [4] [3330/5278] eta: 1:21:57 lr: 4.475847660202391e-05 loss: 0.1389 (0.1509) loss_seg: 0.1529 (0.1631) loss_lansim: 0.1177 (0.1154) loss_contra: 0.0009 (0.0220) time: 2.5210 data: 0.0026 max mem: 31671 Epoch: [4] [3340/5278] eta: 1:21:32 lr: 4.4756318717719056e-05 loss: 0.1389 (0.1509) loss_seg: 0.1529 (0.1632) loss_lansim: 0.1136 (0.1154) loss_contra: 0.0008 (0.0220) time: 2.5368 data: 0.0026 max mem: 31671 Epoch: [4] [3350/5278] eta: 1:21:07 lr: 4.475416082185408e-05 loss: 0.1382 (0.1508) loss_seg: 0.1460 (0.1631) loss_lansim: 0.1133 (0.1154) loss_contra: 0.0011 (0.0219) time: 2.5356 data: 0.0026 max mem: 31671 Epoch: [4] [3360/5278] eta: 1:20:42 lr: 4.475200291442833e-05 loss: 0.1399 (0.1508) loss_seg: 0.1543 (0.1631) loss_lansim: 0.1155 (0.1154) loss_contra: 0.0008 (0.0220) time: 2.5309 data: 0.0026 max mem: 31671 Epoch: [4] [3370/5278] eta: 1:20:17 lr: 4.474984499544111e-05 loss: 0.1417 (0.1509) loss_seg: 0.1577 (0.1632) loss_lansim: 0.1136 (0.1153) loss_contra: 0.0008 (0.0219) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [4] [3380/5278] eta: 1:19:52 lr: 4.4747687064891746e-05 loss: 0.1421 (0.1509) loss_seg: 0.1578 (0.1633) loss_lansim: 0.1130 (0.1153) loss_contra: 0.0008 (0.0219) time: 2.5407 data: 0.0026 max mem: 31671 Epoch: [4] [3390/5278] eta: 1:19:27 lr: 4.4745529122779546e-05 loss: 0.1427 (0.1509) loss_seg: 0.1581 (0.1632) loss_lansim: 0.1120 (0.1153) loss_contra: 0.0007 (0.0219) time: 2.5431 data: 0.0026 max mem: 31671 Epoch: [4] [3400/5278] eta: 1:19:01 lr: 4.474337116910383e-05 loss: 0.1427 (0.1509) loss_seg: 0.1581 (0.1633) loss_lansim: 0.1120 (0.1153) loss_contra: 0.0008 (0.0219) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [4] [3410/5278] eta: 1:18:36 lr: 4.474121320386393e-05 loss: 0.1506 (0.1510) loss_seg: 0.1654 (0.1633) loss_lansim: 0.1112 (0.1153) loss_contra: 0.0009 (0.0218) time: 2.5353 data: 0.0026 max mem: 31671 Epoch: [4] [3420/5278] eta: 1:18:11 lr: 4.4739055227059145e-05 loss: 0.1452 (0.1509) loss_seg: 0.1590 (0.1632) loss_lansim: 0.1108 (0.1152) loss_contra: 0.0009 (0.0217) time: 2.5329 data: 0.0026 max mem: 31671 Epoch: [4] [3430/5278] eta: 1:17:45 lr: 4.4736897238688816e-05 loss: 0.1439 (0.1509) loss_seg: 0.1581 (0.1632) loss_lansim: 0.1076 (0.1152) loss_contra: 0.0006 (0.0217) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [4] [3440/5278] eta: 1:17:20 lr: 4.473473923875224e-05 loss: 0.1452 (0.1509) loss_seg: 0.1590 (0.1632) loss_lansim: 0.1068 (0.1151) loss_contra: 0.0005 (0.0216) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [4] [3450/5278] eta: 1:16:55 lr: 4.4732581227248735e-05 loss: 0.1458 (0.1507) loss_seg: 0.1615 (0.1631) loss_lansim: 0.1067 (0.1151) loss_contra: 0.0006 (0.0217) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [4] [3460/5278] eta: 1:16:30 lr: 4.473042320417765e-05 loss: 0.1439 (0.1507) loss_seg: 0.1581 (0.1630) loss_lansim: 0.1063 (0.1151) loss_contra: 0.0005 (0.0216) time: 2.5323 data: 0.0026 max mem: 31671 Epoch: [4] [3470/5278] eta: 1:16:05 lr: 4.472826516953826e-05 loss: 0.1396 (0.1507) loss_seg: 0.1521 (0.1630) loss_lansim: 0.1050 (0.1150) loss_contra: 0.0005 (0.0216) time: 2.5301 data: 0.0026 max mem: 31671 Epoch: [4] [3480/5278] eta: 1:15:40 lr: 4.4726107123329906e-05 loss: 0.1385 (0.1507) loss_seg: 0.1485 (0.1630) loss_lansim: 0.1026 (0.1150) loss_contra: 0.0004 (0.0216) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [4] [3490/5278] eta: 1:15:14 lr: 4.47239490655519e-05 loss: 0.1396 (0.1506) loss_seg: 0.1488 (0.1629) loss_lansim: 0.1026 (0.1150) loss_contra: 0.0004 (0.0217) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [4] [3500/5278] eta: 1:14:49 lr: 4.472179099620357e-05 loss: 0.1382 (0.1506) loss_seg: 0.1485 (0.1629) loss_lansim: 0.1020 (0.1150) loss_contra: 0.0004 (0.0216) time: 2.5248 data: 0.0025 max mem: 31671 Epoch: [4] [3510/5278] eta: 1:14:24 lr: 4.4719632915284225e-05 loss: 0.1381 (0.1506) loss_seg: 0.1485 (0.1630) loss_lansim: 0.1027 (0.1150) loss_contra: 0.0004 (0.0217) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [4] [3520/5278] eta: 1:13:59 lr: 4.4717474822793184e-05 loss: 0.1385 (0.1507) loss_seg: 0.1488 (0.1631) loss_lansim: 0.1033 (0.1150) loss_contra: 0.0004 (0.0217) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [4] [3530/5278] eta: 1:13:33 lr: 4.471531671872976e-05 loss: 0.1406 (0.1511) loss_seg: 0.1517 (0.1635) loss_lansim: 0.1075 (0.1150) loss_contra: 0.0004 (0.0218) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [4] [3540/5278] eta: 1:13:08 lr: 4.4713158603093275e-05 loss: 0.1451 (0.1512) loss_seg: 0.1555 (0.1636) loss_lansim: 0.1132 (0.1151) loss_contra: 0.0005 (0.0222) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [4] [3550/5278] eta: 1:12:43 lr: 4.4711000475883045e-05 loss: 0.1497 (0.1513) loss_seg: 0.1563 (0.1636) loss_lansim: 0.1147 (0.1152) loss_contra: 0.0008 (0.0223) time: 2.5268 data: 0.0025 max mem: 31671 Epoch: [4] [3560/5278] eta: 1:12:17 lr: 4.470884233709839e-05 loss: 0.1520 (0.1514) loss_seg: 0.1630 (0.1638) loss_lansim: 0.1204 (0.1153) loss_contra: 0.0025 (0.0236) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [4] [3570/5278] eta: 1:11:52 lr: 4.4706684186738625e-05 loss: 0.1554 (0.1514) loss_seg: 0.1682 (0.1638) loss_lansim: 0.1205 (0.1153) loss_contra: 0.0036 (0.0237) time: 2.5233 data: 0.0024 max mem: 31671 Epoch: [4] [3580/5278] eta: 1:11:27 lr: 4.470452602480306e-05 loss: 0.1621 (0.1515) loss_seg: 0.1798 (0.1638) loss_lansim: 0.1214 (0.1153) loss_contra: 0.0044 (0.0238) time: 2.5192 data: 0.0024 max mem: 31671 Epoch: [4] [3590/5278] eta: 1:11:01 lr: 4.4702367851291026e-05 loss: 0.1621 (0.1515) loss_seg: 0.1798 (0.1638) loss_lansim: 0.1228 (0.1153) loss_contra: 0.0043 (0.0238) time: 2.5192 data: 0.0024 max mem: 31671 Epoch: [4] [3600/5278] eta: 1:10:36 lr: 4.470020966620183e-05 loss: 0.1554 (0.1514) loss_seg: 0.1638 (0.1638) loss_lansim: 0.1228 (0.1153) loss_contra: 0.0051 (0.0240) time: 2.5232 data: 0.0024 max mem: 31671 Epoch: [4] [3610/5278] eta: 1:10:11 lr: 4.4698051469534795e-05 loss: 0.1621 (0.1515) loss_seg: 0.1708 (0.1638) loss_lansim: 0.1217 (0.1153) loss_contra: 0.0044 (0.0239) time: 2.5175 data: 0.0024 max mem: 31671 Epoch: [4] [3620/5278] eta: 1:09:46 lr: 4.469589326128923e-05 loss: 0.1580 (0.1515) loss_seg: 0.1676 (0.1638) loss_lansim: 0.1209 (0.1153) loss_contra: 0.0051 (0.0239) time: 2.5233 data: 0.0024 max mem: 31671 Epoch: [4] [3630/5278] eta: 1:09:21 lr: 4.469373504146446e-05 loss: 0.1554 (0.1515) loss_seg: 0.1676 (0.1639) loss_lansim: 0.1161 (0.1152) loss_contra: 0.0043 (0.0239) time: 2.5361 data: 0.0024 max mem: 31671 Epoch: [4] [3640/5278] eta: 1:08:56 lr: 4.4691576810059795e-05 loss: 0.1509 (0.1515) loss_seg: 0.1579 (0.1639) loss_lansim: 0.1121 (0.1152) loss_contra: 0.0029 (0.0239) time: 2.5269 data: 0.0024 max mem: 31671 Epoch: [4] [3650/5278] eta: 1:08:31 lr: 4.4689418567074554e-05 loss: 0.1554 (0.1517) loss_seg: 0.1676 (0.1641) loss_lansim: 0.1101 (0.1152) loss_contra: 0.0022 (0.0240) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [4] [3660/5278] eta: 1:08:06 lr: 4.468726031250805e-05 loss: 0.1509 (0.1517) loss_seg: 0.1581 (0.1641) loss_lansim: 0.1086 (0.1152) loss_contra: 0.0015 (0.0240) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [4] [3670/5278] eta: 1:07:41 lr: 4.468510204635961e-05 loss: 0.1460 (0.1517) loss_seg: 0.1579 (0.1641) loss_lansim: 0.1073 (0.1152) loss_contra: 0.0009 (0.0239) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [4] [3680/5278] eta: 1:07:15 lr: 4.468294376862854e-05 loss: 0.1420 (0.1517) loss_seg: 0.1538 (0.1641) loss_lansim: 0.1057 (0.1152) loss_contra: 0.0006 (0.0240) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [4] [3690/5278] eta: 1:06:50 lr: 4.468078547931416e-05 loss: 0.1509 (0.1517) loss_seg: 0.1615 (0.1642) loss_lansim: 0.1057 (0.1152) loss_contra: 0.0006 (0.0242) time: 2.5567 data: 0.0026 max mem: 31671 Epoch: [4] [3700/5278] eta: 1:06:25 lr: 4.4678627178415784e-05 loss: 0.1522 (0.1517) loss_seg: 0.1684 (0.1641) loss_lansim: 0.1070 (0.1152) loss_contra: 0.0005 (0.0241) time: 2.5553 data: 0.0026 max mem: 31671 Epoch: [4] [3710/5278] eta: 1:06:00 lr: 4.467646886593272e-05 loss: 0.1389 (0.1516) loss_seg: 0.1506 (0.1640) loss_lansim: 0.1057 (0.1152) loss_contra: 0.0006 (0.0242) time: 2.5593 data: 0.0026 max mem: 31671 Epoch: [4] [3720/5278] eta: 1:05:35 lr: 4.467431054186431e-05 loss: 0.1382 (0.1515) loss_seg: 0.1503 (0.1639) loss_lansim: 0.1079 (0.1153) loss_contra: 0.0007 (0.0241) time: 2.5556 data: 0.0026 max mem: 31671 Epoch: [4] [3730/5278] eta: 1:05:10 lr: 4.467215220620985e-05 loss: 0.1382 (0.1516) loss_seg: 0.1447 (0.1640) loss_lansim: 0.1089 (0.1153) loss_contra: 0.0010 (0.0241) time: 2.5582 data: 0.0026 max mem: 31671 Epoch: [4] [3740/5278] eta: 1:04:44 lr: 4.4669993858968656e-05 loss: 0.1319 (0.1515) loss_seg: 0.1442 (0.1639) loss_lansim: 0.1089 (0.1153) loss_contra: 0.0007 (0.0243) time: 2.5535 data: 0.0026 max mem: 31671 Epoch: [4] [3750/5278] eta: 1:04:19 lr: 4.466783550014005e-05 loss: 0.1319 (0.1517) loss_seg: 0.1442 (0.1640) loss_lansim: 0.1094 (0.1153) loss_contra: 0.0007 (0.0242) time: 2.5473 data: 0.0026 max mem: 31671 Epoch: [4] [3760/5278] eta: 1:03:54 lr: 4.466567712972334e-05 loss: 0.1319 (0.1516) loss_seg: 0.1441 (0.1640) loss_lansim: 0.1128 (0.1153) loss_contra: 0.0011 (0.0243) time: 2.5493 data: 0.0026 max mem: 31671 Epoch: [4] [3770/5278] eta: 1:03:29 lr: 4.4663518747717846e-05 loss: 0.1355 (0.1517) loss_seg: 0.1466 (0.1641) loss_lansim: 0.1160 (0.1153) loss_contra: 0.0012 (0.0242) time: 2.5447 data: 0.0026 max mem: 31671 Epoch: [4] [3780/5278] eta: 1:03:03 lr: 4.466136035412288e-05 loss: 0.1377 (0.1517) loss_seg: 0.1478 (0.1641) loss_lansim: 0.1160 (0.1153) loss_contra: 0.0014 (0.0243) time: 2.5404 data: 0.0026 max mem: 31671 Epoch: [4] [3790/5278] eta: 1:02:38 lr: 4.465920194893777e-05 loss: 0.1355 (0.1517) loss_seg: 0.1459 (0.1641) loss_lansim: 0.1112 (0.1153) loss_contra: 0.0014 (0.0243) time: 2.5339 data: 0.0026 max mem: 31671 Epoch: [4] [3800/5278] eta: 1:02:13 lr: 4.4657043532161826e-05 loss: 0.1368 (0.1517) loss_seg: 0.1478 (0.1641) loss_lansim: 0.1096 (0.1153) loss_contra: 0.0016 (0.0243) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [4] [3810/5278] eta: 1:01:48 lr: 4.465488510379435e-05 loss: 0.1449 (0.1517) loss_seg: 0.1526 (0.1641) loss_lansim: 0.1084 (0.1152) loss_contra: 0.0014 (0.0242) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [4] [3820/5278] eta: 1:01:22 lr: 4.4652726663834674e-05 loss: 0.1386 (0.1516) loss_seg: 0.1491 (0.1641) loss_lansim: 0.1081 (0.1152) loss_contra: 0.0008 (0.0242) time: 2.5295 data: 0.0026 max mem: 31671 Epoch: [4] [3830/5278] eta: 1:00:57 lr: 4.46505682122821e-05 loss: 0.1333 (0.1516) loss_seg: 0.1459 (0.1640) loss_lansim: 0.1081 (0.1152) loss_contra: 0.0007 (0.0242) time: 2.5161 data: 0.0025 max mem: 31671 Epoch: [4] [3840/5278] eta: 1:00:32 lr: 4.464840974913595e-05 loss: 0.1342 (0.1516) loss_seg: 0.1478 (0.1640) loss_lansim: 0.1068 (0.1152) loss_contra: 0.0007 (0.0242) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [4] [3850/5278] eta: 1:00:06 lr: 4.464625127439554e-05 loss: 0.1342 (0.1516) loss_seg: 0.1464 (0.1640) loss_lansim: 0.1066 (0.1152) loss_contra: 0.0007 (0.0241) time: 2.5242 data: 0.0025 max mem: 31671 Epoch: [4] [3860/5278] eta: 0:59:41 lr: 4.464409278806018e-05 loss: 0.1405 (0.1515) loss_seg: 0.1509 (0.1640) loss_lansim: 0.1068 (0.1152) loss_contra: 0.0007 (0.0242) time: 2.5184 data: 0.0025 max mem: 31671 Epoch: [4] [3870/5278] eta: 0:59:16 lr: 4.464193429012919e-05 loss: 0.1405 (0.1516) loss_seg: 0.1559 (0.1640) loss_lansim: 0.1068 (0.1153) loss_contra: 0.0007 (0.0241) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [4] [3880/5278] eta: 0:58:50 lr: 4.463977578060189e-05 loss: 0.1368 (0.1515) loss_seg: 0.1486 (0.1640) loss_lansim: 0.1086 (0.1152) loss_contra: 0.0007 (0.0241) time: 2.5115 data: 0.0025 max mem: 31671 Epoch: [4] [3890/5278] eta: 0:58:25 lr: 4.4637617259477573e-05 loss: 0.1343 (0.1515) loss_seg: 0.1486 (0.1639) loss_lansim: 0.1110 (0.1152) loss_contra: 0.0006 (0.0241) time: 2.5051 data: 0.0024 max mem: 31671 Epoch: [4] [3900/5278] eta: 0:58:00 lr: 4.463545872675558e-05 loss: 0.1336 (0.1514) loss_seg: 0.1461 (0.1639) loss_lansim: 0.1107 (0.1152) loss_contra: 0.0006 (0.0241) time: 2.5043 data: 0.0024 max mem: 31671 Epoch: [4] [3910/5278] eta: 0:57:34 lr: 4.463330018243521e-05 loss: 0.1317 (0.1514) loss_seg: 0.1438 (0.1638) loss_lansim: 0.1112 (0.1152) loss_contra: 0.0006 (0.0241) time: 2.5083 data: 0.0024 max mem: 31671 Epoch: [4] [3920/5278] eta: 0:57:08 lr: 4.463114162651578e-05 loss: 0.1323 (0.1514) loss_seg: 0.1438 (0.1638) loss_lansim: 0.1119 (0.1152) loss_contra: 0.0006 (0.0240) time: 2.4895 data: 0.0025 max mem: 31671 Epoch: [4] [3930/5278] eta: 0:56:43 lr: 4.4628983058996606e-05 loss: 0.1367 (0.1515) loss_seg: 0.1485 (0.1638) loss_lansim: 0.1121 (0.1152) loss_contra: 0.0005 (0.0243) time: 2.4821 data: 0.0025 max mem: 31671 Epoch: [4] [3940/5278] eta: 0:56:17 lr: 4.4626824479877e-05 loss: 0.1354 (0.1514) loss_seg: 0.1475 (0.1638) loss_lansim: 0.1125 (0.1152) loss_contra: 0.0005 (0.0243) time: 2.4736 data: 0.0025 max mem: 31671 Epoch: [4] [3950/5278] eta: 0:55:52 lr: 4.462466588915627e-05 loss: 0.1354 (0.1515) loss_seg: 0.1475 (0.1639) loss_lansim: 0.1152 (0.1152) loss_contra: 0.0005 (0.0243) time: 2.4729 data: 0.0024 max mem: 31671 Epoch: [4] [3960/5278] eta: 0:55:27 lr: 4.4622507286833756e-05 loss: 0.1343 (0.1514) loss_seg: 0.1461 (0.1638) loss_lansim: 0.1146 (0.1153) loss_contra: 0.0006 (0.0243) time: 2.4718 data: 0.0025 max mem: 31671 Epoch: [4] [3970/5278] eta: 0:55:01 lr: 4.462034867290874e-05 loss: 0.1300 (0.1514) loss_seg: 0.1422 (0.1638) loss_lansim: 0.1125 (0.1152) loss_contra: 0.0006 (0.0243) time: 2.4672 data: 0.0025 max mem: 31671 Epoch: [4] [3980/5278] eta: 0:54:36 lr: 4.461819004738055e-05 loss: 0.1292 (0.1513) loss_seg: 0.1423 (0.1637) loss_lansim: 0.1148 (0.1152) loss_contra: 0.0006 (0.0243) time: 2.4609 data: 0.0025 max mem: 31671 Epoch: [4] [3990/5278] eta: 0:54:10 lr: 4.46160314102485e-05 loss: 0.1281 (0.1513) loss_seg: 0.1422 (0.1637) loss_lansim: 0.1148 (0.1152) loss_contra: 0.0008 (0.0242) time: 2.4589 data: 0.0025 max mem: 31671 Epoch: [4] [4000/5278] eta: 0:53:45 lr: 4.4613872761511907e-05 loss: 0.1280 (0.1512) loss_seg: 0.1422 (0.1636) loss_lansim: 0.1162 (0.1153) loss_contra: 0.0010 (0.0243) time: 2.4556 data: 0.0025 max mem: 31671 Epoch: [4] [4010/5278] eta: 0:53:19 lr: 4.461171410117008e-05 loss: 0.1337 (0.1513) loss_seg: 0.1461 (0.1636) loss_lansim: 0.1162 (0.1153) loss_contra: 0.0010 (0.0245) time: 2.4411 data: 0.0025 max mem: 31671 Epoch: [4] [4020/5278] eta: 0:52:54 lr: 4.4609555429222336e-05 loss: 0.1340 (0.1513) loss_seg: 0.1475 (0.1636) loss_lansim: 0.1198 (0.1153) loss_contra: 0.0011 (0.0245) time: 2.4545 data: 0.0026 max mem: 31671 Epoch: [4] [4030/5278] eta: 0:52:28 lr: 4.4607396745667984e-05 loss: 0.1330 (0.1513) loss_seg: 0.1461 (0.1637) loss_lansim: 0.1178 (0.1153) loss_contra: 0.0013 (0.0244) time: 2.4615 data: 0.0026 max mem: 31671 Epoch: [4] [4040/5278] eta: 0:52:03 lr: 4.460523805050634e-05 loss: 0.1330 (0.1514) loss_seg: 0.1461 (0.1638) loss_lansim: 0.1198 (0.1153) loss_contra: 0.0012 (0.0244) time: 2.4604 data: 0.0026 max mem: 31671 Epoch: [4] [4050/5278] eta: 0:51:38 lr: 4.460307934373672e-05 loss: 0.1327 (0.1515) loss_seg: 0.1455 (0.1639) loss_lansim: 0.1164 (0.1153) loss_contra: 0.0013 (0.0244) time: 2.4604 data: 0.0026 max mem: 31671 Epoch: [4] [4060/5278] eta: 0:51:12 lr: 4.460092062535843e-05 loss: 0.1318 (0.1514) loss_seg: 0.1448 (0.1638) loss_lansim: 0.1159 (0.1153) loss_contra: 0.0007 (0.0244) time: 2.4568 data: 0.0026 max mem: 31671 Epoch: [4] [4070/5278] eta: 0:50:47 lr: 4.45987618953708e-05 loss: 0.1292 (0.1514) loss_seg: 0.1437 (0.1638) loss_lansim: 0.1164 (0.1153) loss_contra: 0.0007 (0.0243) time: 2.4667 data: 0.0026 max mem: 31671 Epoch: [4] [4080/5278] eta: 0:50:22 lr: 4.459660315377311e-05 loss: 0.1292 (0.1513) loss_seg: 0.1437 (0.1637) loss_lansim: 0.1179 (0.1153) loss_contra: 0.0006 (0.0243) time: 2.4765 data: 0.0026 max mem: 31671 Epoch: [4] [4090/5278] eta: 0:49:57 lr: 4.459444440056471e-05 loss: 0.1313 (0.1513) loss_seg: 0.1448 (0.1637) loss_lansim: 0.1208 (0.1154) loss_contra: 0.0003 (0.0242) time: 2.4819 data: 0.0025 max mem: 31671 Epoch: [4] [4100/5278] eta: 0:49:31 lr: 4.45922856357449e-05 loss: 0.1290 (0.1512) loss_seg: 0.1433 (0.1636) loss_lansim: 0.1197 (0.1154) loss_contra: 0.0004 (0.0242) time: 2.4856 data: 0.0025 max mem: 31671 Epoch: [4] [4110/5278] eta: 0:49:06 lr: 4.4590126859312976e-05 loss: 0.1239 (0.1512) loss_seg: 0.1378 (0.1636) loss_lansim: 0.1191 (0.1154) loss_contra: 0.0005 (0.0243) time: 2.5093 data: 0.0025 max mem: 31671 Epoch: [4] [4120/5278] eta: 0:48:41 lr: 4.4587968071268275e-05 loss: 0.1239 (0.1512) loss_seg: 0.1378 (0.1635) loss_lansim: 0.1179 (0.1154) loss_contra: 0.0005 (0.0242) time: 2.5118 data: 0.0025 max mem: 31671 Epoch: [4] [4130/5278] eta: 0:48:16 lr: 4.4585809271610094e-05 loss: 0.1236 (0.1512) loss_seg: 0.1352 (0.1636) loss_lansim: 0.1179 (0.1155) loss_contra: 0.0005 (0.0242) time: 2.5168 data: 0.0024 max mem: 31671 Epoch: [4] [4140/5278] eta: 0:47:51 lr: 4.4583650460337756e-05 loss: 0.1258 (0.1512) loss_seg: 0.1384 (0.1636) loss_lansim: 0.1179 (0.1155) loss_contra: 0.0005 (0.0244) time: 2.5244 data: 0.0024 max mem: 31671 Epoch: [4] [4150/5278] eta: 0:47:25 lr: 4.458149163745057e-05 loss: 0.1212 (0.1511) loss_seg: 0.1333 (0.1635) loss_lansim: 0.1170 (0.1154) loss_contra: 0.0006 (0.0243) time: 2.5244 data: 0.0024 max mem: 31671 Epoch: [4] [4160/5278] eta: 0:47:00 lr: 4.457933280294784e-05 loss: 0.1217 (0.1511) loss_seg: 0.1346 (0.1635) loss_lansim: 0.1176 (0.1154) loss_contra: 0.0008 (0.0243) time: 2.5271 data: 0.0024 max mem: 31671 Epoch: [4] [4170/5278] eta: 0:46:35 lr: 4.45771739568289e-05 loss: 0.1248 (0.1511) loss_seg: 0.1384 (0.1635) loss_lansim: 0.1158 (0.1154) loss_contra: 0.0008 (0.0243) time: 2.5270 data: 0.0024 max mem: 31671 Epoch: [4] [4180/5278] eta: 0:46:10 lr: 4.457501509909304e-05 loss: 0.1307 (0.1511) loss_seg: 0.1443 (0.1635) loss_lansim: 0.1170 (0.1154) loss_contra: 0.0014 (0.0244) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [4] [4190/5278] eta: 0:45:45 lr: 4.457285622973958e-05 loss: 0.1359 (0.1513) loss_seg: 0.1456 (0.1637) loss_lansim: 0.1155 (0.1154) loss_contra: 0.0017 (0.0244) time: 2.5440 data: 0.0024 max mem: 31671 Epoch: [4] [4200/5278] eta: 0:45:20 lr: 4.457069734876784e-05 loss: 0.1359 (0.1511) loss_seg: 0.1456 (0.1635) loss_lansim: 0.1136 (0.1154) loss_contra: 0.0015 (0.0244) time: 2.5484 data: 0.0024 max mem: 31671 Epoch: [4] [4210/5278] eta: 0:44:54 lr: 4.456853845617712e-05 loss: 0.1303 (0.1510) loss_seg: 0.1410 (0.1634) loss_lansim: 0.1139 (0.1154) loss_contra: 0.0014 (0.0243) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [4] [4220/5278] eta: 0:44:29 lr: 4.456637955196674e-05 loss: 0.1277 (0.1510) loss_seg: 0.1408 (0.1634) loss_lansim: 0.1139 (0.1154) loss_contra: 0.0011 (0.0243) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [4] [4230/5278] eta: 0:44:04 lr: 4.456422063613601e-05 loss: 0.1300 (0.1511) loss_seg: 0.1432 (0.1634) loss_lansim: 0.1142 (0.1154) loss_contra: 0.0007 (0.0244) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [4] [4240/5278] eta: 0:43:39 lr: 4.4562061708684235e-05 loss: 0.1267 (0.1510) loss_seg: 0.1408 (0.1634) loss_lansim: 0.1142 (0.1155) loss_contra: 0.0007 (0.0246) time: 2.5461 data: 0.0025 max mem: 31671 Epoch: [4] [4250/5278] eta: 0:43:14 lr: 4.4559902769610747e-05 loss: 0.1300 (0.1510) loss_seg: 0.1443 (0.1633) loss_lansim: 0.1148 (0.1155) loss_contra: 0.0008 (0.0245) time: 2.5501 data: 0.0025 max mem: 31671 Epoch: [4] [4260/5278] eta: 0:42:48 lr: 4.4557743818914834e-05 loss: 0.1267 (0.1509) loss_seg: 0.1408 (0.1632) loss_lansim: 0.1148 (0.1155) loss_contra: 0.0010 (0.0247) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [4] [4270/5278] eta: 0:42:23 lr: 4.455558485659582e-05 loss: 0.1267 (0.1510) loss_seg: 0.1408 (0.1633) loss_lansim: 0.1170 (0.1155) loss_contra: 0.0006 (0.0246) time: 2.5514 data: 0.0025 max mem: 31671 Epoch: [4] [4280/5278] eta: 0:41:58 lr: 4.4553425882653015e-05 loss: 0.1259 (0.1509) loss_seg: 0.1396 (0.1633) loss_lansim: 0.1167 (0.1155) loss_contra: 0.0008 (0.0246) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [4] [4290/5278] eta: 0:41:33 lr: 4.455126689708573e-05 loss: 0.1213 (0.1510) loss_seg: 0.1326 (0.1633) loss_lansim: 0.1158 (0.1155) loss_contra: 0.0010 (0.0246) time: 2.5476 data: 0.0024 max mem: 31671 Epoch: [4] [4300/5278] eta: 0:41:08 lr: 4.4549107899893274e-05 loss: 0.1293 (0.1511) loss_seg: 0.1432 (0.1635) loss_lansim: 0.1181 (0.1156) loss_contra: 0.0008 (0.0246) time: 2.5419 data: 0.0024 max mem: 31671 Epoch: [4] [4310/5278] eta: 0:40:43 lr: 4.454694889107497e-05 loss: 0.1299 (0.1511) loss_seg: 0.1437 (0.1635) loss_lansim: 0.1203 (0.1156) loss_contra: 0.0006 (0.0246) time: 2.5409 data: 0.0024 max mem: 31671 Epoch: [4] [4320/5278] eta: 0:40:17 lr: 4.454478987063011e-05 loss: 0.1357 (0.1511) loss_seg: 0.1448 (0.1635) loss_lansim: 0.1176 (0.1156) loss_contra: 0.0006 (0.0245) time: 2.5265 data: 0.0024 max mem: 31671 Epoch: [4] [4330/5278] eta: 0:39:52 lr: 4.454263083855802e-05 loss: 0.1328 (0.1511) loss_seg: 0.1443 (0.1634) loss_lansim: 0.1181 (0.1156) loss_contra: 0.0006 (0.0245) time: 2.5253 data: 0.0024 max mem: 31671 Epoch: [4] [4340/5278] eta: 0:39:26 lr: 4.4540471794858014e-05 loss: 0.1358 (0.1512) loss_seg: 0.1461 (0.1636) loss_lansim: 0.1176 (0.1157) loss_contra: 0.0006 (0.0245) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [4] [4350/5278] eta: 0:39:01 lr: 4.453831273952939e-05 loss: 0.1357 (0.1512) loss_seg: 0.1443 (0.1635) loss_lansim: 0.1181 (0.1157) loss_contra: 0.0004 (0.0244) time: 2.5226 data: 0.0024 max mem: 31671 Epoch: [4] [4360/5278] eta: 0:38:36 lr: 4.4536153672571455e-05 loss: 0.1358 (0.1511) loss_seg: 0.1443 (0.1634) loss_lansim: 0.1213 (0.1157) loss_contra: 0.0004 (0.0244) time: 2.5205 data: 0.0024 max mem: 31671 Epoch: [4] [4370/5278] eta: 0:38:11 lr: 4.453399459398354e-05 loss: 0.1350 (0.1511) loss_seg: 0.1433 (0.1634) loss_lansim: 0.1208 (0.1158) loss_contra: 0.0004 (0.0244) time: 2.5104 data: 0.0025 max mem: 31671 Epoch: [4] [4380/5278] eta: 0:37:45 lr: 4.453183550376495e-05 loss: 0.1358 (0.1511) loss_seg: 0.1443 (0.1634) loss_lansim: 0.1220 (0.1158) loss_contra: 0.0003 (0.0243) time: 2.5058 data: 0.0025 max mem: 31671 Epoch: [4] [4390/5278] eta: 0:37:20 lr: 4.452967640191499e-05 loss: 0.1358 (0.1511) loss_seg: 0.1443 (0.1634) loss_lansim: 0.1220 (0.1158) loss_contra: 0.0003 (0.0243) time: 2.4993 data: 0.0025 max mem: 31671 Epoch: [4] [4400/5278] eta: 0:36:55 lr: 4.4527517288432964e-05 loss: 0.1319 (0.1510) loss_seg: 0.1388 (0.1634) loss_lansim: 0.1198 (0.1158) loss_contra: 0.0003 (0.0244) time: 2.5077 data: 0.0025 max mem: 31671 Epoch: [4] [4410/5278] eta: 0:36:30 lr: 4.4525358163318195e-05 loss: 0.1311 (0.1510) loss_seg: 0.1376 (0.1634) loss_lansim: 0.1198 (0.1158) loss_contra: 0.0004 (0.0243) time: 2.5158 data: 0.0025 max mem: 31671 Epoch: [4] [4420/5278] eta: 0:36:05 lr: 4.4523199026569985e-05 loss: 0.1250 (0.1510) loss_seg: 0.1306 (0.1633) loss_lansim: 0.1218 (0.1158) loss_contra: 0.0003 (0.0242) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [4] [4430/5278] eta: 0:35:39 lr: 4.452103987818766e-05 loss: 0.1290 (0.1510) loss_seg: 0.1363 (0.1634) loss_lansim: 0.1199 (0.1158) loss_contra: 0.0005 (0.0242) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [4] [4440/5278] eta: 0:35:14 lr: 4.451888071817051e-05 loss: 0.1224 (0.1510) loss_seg: 0.1301 (0.1633) loss_lansim: 0.1204 (0.1159) loss_contra: 0.0003 (0.0242) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [4] [4450/5278] eta: 0:34:49 lr: 4.451672154651786e-05 loss: 0.1226 (0.1510) loss_seg: 0.1333 (0.1634) loss_lansim: 0.1198 (0.1159) loss_contra: 0.0005 (0.0241) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [4] [4460/5278] eta: 0:34:24 lr: 4.451456236322901e-05 loss: 0.1226 (0.1512) loss_seg: 0.1359 (0.1636) loss_lansim: 0.1199 (0.1159) loss_contra: 0.0005 (0.0241) time: 2.5318 data: 0.0026 max mem: 31671 Epoch: [4] [4470/5278] eta: 0:33:58 lr: 4.451240316830328e-05 loss: 0.1227 (0.1512) loss_seg: 0.1363 (0.1636) loss_lansim: 0.1194 (0.1159) loss_contra: 0.0005 (0.0241) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [4] [4480/5278] eta: 0:33:33 lr: 4.451024396173997e-05 loss: 0.1269 (0.1513) loss_seg: 0.1377 (0.1636) loss_lansim: 0.1187 (0.1160) loss_contra: 0.0005 (0.0241) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [4] [4490/5278] eta: 0:33:08 lr: 4.45080847435384e-05 loss: 0.1337 (0.1513) loss_seg: 0.1432 (0.1637) loss_lansim: 0.1194 (0.1160) loss_contra: 0.0004 (0.0240) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [4] [4500/5278] eta: 0:32:43 lr: 4.450592551369787e-05 loss: 0.1370 (0.1513) loss_seg: 0.1486 (0.1637) loss_lansim: 0.1197 (0.1160) loss_contra: 0.0004 (0.0240) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [4] [4510/5278] eta: 0:32:18 lr: 4.450376627221769e-05 loss: 0.1391 (0.1513) loss_seg: 0.1522 (0.1637) loss_lansim: 0.1194 (0.1160) loss_contra: 0.0004 (0.0240) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [4] [4520/5278] eta: 0:31:52 lr: 4.4501607019097185e-05 loss: 0.1431 (0.1513) loss_seg: 0.1547 (0.1637) loss_lansim: 0.1200 (0.1160) loss_contra: 0.0006 (0.0240) time: 2.5264 data: 0.0026 max mem: 31671 Epoch: [4] [4530/5278] eta: 0:31:27 lr: 4.449944775433565e-05 loss: 0.1388 (0.1513) loss_seg: 0.1501 (0.1637) loss_lansim: 0.1215 (0.1160) loss_contra: 0.0006 (0.0241) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [4] [4540/5278] eta: 0:31:02 lr: 4.44972884779324e-05 loss: 0.1424 (0.1513) loss_seg: 0.1523 (0.1637) loss_lansim: 0.1218 (0.1161) loss_contra: 0.0008 (0.0241) time: 2.5229 data: 0.0026 max mem: 31671 Epoch: [4] [4550/5278] eta: 0:30:37 lr: 4.449512918988675e-05 loss: 0.1388 (0.1513) loss_seg: 0.1501 (0.1637) loss_lansim: 0.1232 (0.1161) loss_contra: 0.0007 (0.0240) time: 2.5203 data: 0.0026 max mem: 31671 Epoch: [4] [4560/5278] eta: 0:30:12 lr: 4.4492969890197995e-05 loss: 0.1388 (0.1513) loss_seg: 0.1501 (0.1636) loss_lansim: 0.1216 (0.1161) loss_contra: 0.0007 (0.0240) time: 2.5273 data: 0.0026 max mem: 31671 Epoch: [4] [4570/5278] eta: 0:29:46 lr: 4.449081057886545e-05 loss: 0.1368 (0.1512) loss_seg: 0.1498 (0.1636) loss_lansim: 0.1232 (0.1162) loss_contra: 0.0007 (0.0241) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [4] [4580/5278] eta: 0:29:21 lr: 4.448865125588843e-05 loss: 0.1332 (0.1512) loss_seg: 0.1412 (0.1635) loss_lansim: 0.1247 (0.1163) loss_contra: 0.0007 (0.0240) time: 2.5333 data: 0.0026 max mem: 31671 Epoch: [4] [4590/5278] eta: 0:28:56 lr: 4.448649192126624e-05 loss: 0.1271 (0.1511) loss_seg: 0.1364 (0.1635) loss_lansim: 0.1274 (0.1163) loss_contra: 0.0011 (0.0242) time: 2.5414 data: 0.0026 max mem: 31671 Epoch: [4] [4600/5278] eta: 0:28:31 lr: 4.448433257499819e-05 loss: 0.1232 (0.1511) loss_seg: 0.1305 (0.1635) loss_lansim: 0.1313 (0.1163) loss_contra: 0.0012 (0.0242) time: 2.5396 data: 0.0026 max mem: 31671 Epoch: [4] [4610/5278] eta: 0:28:05 lr: 4.448217321708359e-05 loss: 0.1232 (0.1512) loss_seg: 0.1334 (0.1635) loss_lansim: 0.1321 (0.1164) loss_contra: 0.0013 (0.0241) time: 2.5277 data: 0.0026 max mem: 31671 Epoch: [4] [4620/5278] eta: 0:27:40 lr: 4.448001384752174e-05 loss: 0.1248 (0.1512) loss_seg: 0.1364 (0.1635) loss_lansim: 0.1329 (0.1164) loss_contra: 0.0012 (0.0241) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [4] [4630/5278] eta: 0:27:15 lr: 4.447785446631198e-05 loss: 0.1278 (0.1512) loss_seg: 0.1409 (0.1635) loss_lansim: 0.1321 (0.1164) loss_contra: 0.0011 (0.0241) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [4] [4640/5278] eta: 0:26:50 lr: 4.447569507345357e-05 loss: 0.1295 (0.1511) loss_seg: 0.1409 (0.1635) loss_lansim: 0.1319 (0.1164) loss_contra: 0.0011 (0.0241) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [4] [4650/5278] eta: 0:26:24 lr: 4.447353566894585e-05 loss: 0.1295 (0.1511) loss_seg: 0.1409 (0.1635) loss_lansim: 0.1318 (0.1165) loss_contra: 0.0011 (0.0242) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [4] [4660/5278] eta: 0:25:59 lr: 4.447137625278813e-05 loss: 0.1351 (0.1511) loss_seg: 0.1428 (0.1635) loss_lansim: 0.1318 (0.1165) loss_contra: 0.0012 (0.0242) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [4] [4670/5278] eta: 0:25:34 lr: 4.4469216824979714e-05 loss: 0.1363 (0.1511) loss_seg: 0.1500 (0.1634) loss_lansim: 0.1314 (0.1166) loss_contra: 0.0012 (0.0242) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [4] [4680/5278] eta: 0:25:09 lr: 4.44670573855199e-05 loss: 0.1377 (0.1511) loss_seg: 0.1500 (0.1634) loss_lansim: 0.1302 (0.1166) loss_contra: 0.0011 (0.0241) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [4] [4690/5278] eta: 0:24:44 lr: 4.446489793440801e-05 loss: 0.1377 (0.1511) loss_seg: 0.1500 (0.1634) loss_lansim: 0.1302 (0.1166) loss_contra: 0.0007 (0.0242) time: 2.5284 data: 0.0024 max mem: 31671 Epoch: [4] [4700/5278] eta: 0:24:18 lr: 4.446273847164334e-05 loss: 0.1377 (0.1510) loss_seg: 0.1490 (0.1634) loss_lansim: 0.1281 (0.1166) loss_contra: 0.0006 (0.0241) time: 2.5270 data: 0.0024 max mem: 31671 Epoch: [4] [4710/5278] eta: 0:23:53 lr: 4.446057899722521e-05 loss: 0.1378 (0.1510) loss_seg: 0.1500 (0.1634) loss_lansim: 0.1289 (0.1167) loss_contra: 0.0005 (0.0241) time: 2.5255 data: 0.0024 max mem: 31671 Epoch: [4] [4720/5278] eta: 0:23:28 lr: 4.445841951115293e-05 loss: 0.1331 (0.1510) loss_seg: 0.1424 (0.1633) loss_lansim: 0.1279 (0.1167) loss_contra: 0.0006 (0.0241) time: 2.5162 data: 0.0024 max mem: 31671 Epoch: [4] [4730/5278] eta: 0:23:02 lr: 4.445626001342579e-05 loss: 0.1311 (0.1510) loss_seg: 0.1377 (0.1634) loss_lansim: 0.1279 (0.1167) loss_contra: 0.0005 (0.0240) time: 2.5140 data: 0.0024 max mem: 31671 Epoch: [4] [4740/5278] eta: 0:22:37 lr: 4.445410050404311e-05 loss: 0.1311 (0.1510) loss_seg: 0.1424 (0.1634) loss_lansim: 0.1257 (0.1167) loss_contra: 0.0006 (0.0240) time: 2.5172 data: 0.0024 max mem: 31671 Epoch: [4] [4750/5278] eta: 0:22:12 lr: 4.445194098300421e-05 loss: 0.1342 (0.1510) loss_seg: 0.1440 (0.1634) loss_lansim: 0.1257 (0.1167) loss_contra: 0.0006 (0.0241) time: 2.5137 data: 0.0024 max mem: 31671 Epoch: [4] [4760/5278] eta: 0:21:47 lr: 4.4449781450308374e-05 loss: 0.1345 (0.1511) loss_seg: 0.1454 (0.1635) loss_lansim: 0.1255 (0.1168) loss_contra: 0.0006 (0.0241) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [4] [4770/5278] eta: 0:21:22 lr: 4.4447621905954926e-05 loss: 0.1365 (0.1511) loss_seg: 0.1490 (0.1635) loss_lansim: 0.1238 (0.1168) loss_contra: 0.0006 (0.0241) time: 2.5202 data: 0.0024 max mem: 31671 Epoch: [4] [4780/5278] eta: 0:20:56 lr: 4.444546234994317e-05 loss: 0.1408 (0.1511) loss_seg: 0.1541 (0.1635) loss_lansim: 0.1257 (0.1169) loss_contra: 0.0007 (0.0241) time: 2.5115 data: 0.0024 max mem: 31671 Epoch: [4] [4790/5278] eta: 0:20:31 lr: 4.444330278227241e-05 loss: 0.1437 (0.1511) loss_seg: 0.1577 (0.1635) loss_lansim: 0.1229 (0.1169) loss_contra: 0.0007 (0.0241) time: 2.5095 data: 0.0024 max mem: 31671 Epoch: [4] [4800/5278] eta: 0:20:06 lr: 4.4441143202941953e-05 loss: 0.1464 (0.1513) loss_seg: 0.1603 (0.1637) loss_lansim: 0.1237 (0.1169) loss_contra: 0.0007 (0.0241) time: 2.5205 data: 0.0024 max mem: 31671 Epoch: [4] [4810/5278] eta: 0:19:41 lr: 4.4438983611951116e-05 loss: 0.1436 (0.1513) loss_seg: 0.1577 (0.1636) loss_lansim: 0.1232 (0.1169) loss_contra: 0.0013 (0.0243) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [4] [4820/5278] eta: 0:19:15 lr: 4.4436824009299195e-05 loss: 0.1443 (0.1512) loss_seg: 0.1594 (0.1636) loss_lansim: 0.1223 (0.1169) loss_contra: 0.0012 (0.0243) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [4] [4830/5278] eta: 0:18:50 lr: 4.44346643949855e-05 loss: 0.1448 (0.1513) loss_seg: 0.1595 (0.1636) loss_lansim: 0.1225 (0.1169) loss_contra: 0.0017 (0.0243) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [4] [4840/5278] eta: 0:18:25 lr: 4.443250476900935e-05 loss: 0.1436 (0.1512) loss_seg: 0.1577 (0.1636) loss_lansim: 0.1232 (0.1169) loss_contra: 0.0016 (0.0243) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [4] [4850/5278] eta: 0:18:00 lr: 4.4430345131370036e-05 loss: 0.1421 (0.1512) loss_seg: 0.1541 (0.1635) loss_lansim: 0.1217 (0.1169) loss_contra: 0.0007 (0.0242) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [4] [4860/5278] eta: 0:17:34 lr: 4.4428185482066876e-05 loss: 0.1398 (0.1512) loss_seg: 0.1512 (0.1635) loss_lansim: 0.1217 (0.1169) loss_contra: 0.0007 (0.0242) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [4] [4870/5278] eta: 0:17:09 lr: 4.442602582109917e-05 loss: 0.1360 (0.1512) loss_seg: 0.1507 (0.1635) loss_lansim: 0.1211 (0.1169) loss_contra: 0.0008 (0.0243) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [4] [4880/5278] eta: 0:16:44 lr: 4.4423866148466234e-05 loss: 0.1359 (0.1512) loss_seg: 0.1500 (0.1636) loss_lansim: 0.1180 (0.1169) loss_contra: 0.0006 (0.0243) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [4] [4890/5278] eta: 0:16:19 lr: 4.4421706464167365e-05 loss: 0.1360 (0.1512) loss_seg: 0.1503 (0.1636) loss_lansim: 0.1165 (0.1169) loss_contra: 0.0004 (0.0243) time: 2.5495 data: 0.0025 max mem: 31671 Epoch: [4] [4900/5278] eta: 0:15:54 lr: 4.441954676820187e-05 loss: 0.1284 (0.1512) loss_seg: 0.1427 (0.1635) loss_lansim: 0.1154 (0.1169) loss_contra: 0.0004 (0.0243) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [4] [4910/5278] eta: 0:15:28 lr: 4.4417387060569067e-05 loss: 0.1323 (0.1512) loss_seg: 0.1468 (0.1635) loss_lansim: 0.1140 (0.1169) loss_contra: 0.0003 (0.0242) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [4] [4920/5278] eta: 0:15:03 lr: 4.441522734126825e-05 loss: 0.1323 (0.1512) loss_seg: 0.1468 (0.1636) loss_lansim: 0.1154 (0.1169) loss_contra: 0.0003 (0.0242) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [4] [4930/5278] eta: 0:14:38 lr: 4.441306761029873e-05 loss: 0.1323 (0.1512) loss_seg: 0.1468 (0.1635) loss_lansim: 0.1162 (0.1169) loss_contra: 0.0003 (0.0242) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [4] [4940/5278] eta: 0:14:13 lr: 4.441090786765981e-05 loss: 0.1344 (0.1512) loss_seg: 0.1475 (0.1635) loss_lansim: 0.1165 (0.1169) loss_contra: 0.0003 (0.0242) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [4] [4950/5278] eta: 0:13:47 lr: 4.440874811335081e-05 loss: 0.1372 (0.1512) loss_seg: 0.1480 (0.1635) loss_lansim: 0.1165 (0.1169) loss_contra: 0.0003 (0.0242) time: 2.5467 data: 0.0025 max mem: 31671 Epoch: [4] [4960/5278] eta: 0:13:22 lr: 4.440658834737103e-05 loss: 0.1372 (0.1512) loss_seg: 0.1480 (0.1636) loss_lansim: 0.1165 (0.1170) loss_contra: 0.0004 (0.0242) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [4] [4970/5278] eta: 0:12:57 lr: 4.4404428569719755e-05 loss: 0.1399 (0.1514) loss_seg: 0.1510 (0.1637) loss_lansim: 0.1192 (0.1170) loss_contra: 0.0003 (0.0241) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [4] [4980/5278] eta: 0:12:32 lr: 4.440226878039632e-05 loss: 0.1406 (0.1514) loss_seg: 0.1526 (0.1638) loss_lansim: 0.1179 (0.1170) loss_contra: 0.0004 (0.0241) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [4] [4990/5278] eta: 0:12:06 lr: 4.4400108979400016e-05 loss: 0.1371 (0.1514) loss_seg: 0.1491 (0.1637) loss_lansim: 0.1179 (0.1170) loss_contra: 0.0005 (0.0241) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [4] [5000/5278] eta: 0:11:41 lr: 4.439794916673016e-05 loss: 0.1431 (0.1514) loss_seg: 0.1563 (0.1638) loss_lansim: 0.1193 (0.1169) loss_contra: 0.0008 (0.0240) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [4] [5010/5278] eta: 0:11:16 lr: 4.439578934238605e-05 loss: 0.1531 (0.1514) loss_seg: 0.1664 (0.1638) loss_lansim: 0.1207 (0.1170) loss_contra: 0.0008 (0.0240) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [4] [5020/5278] eta: 0:10:51 lr: 4.439362950636699e-05 loss: 0.1410 (0.1514) loss_seg: 0.1563 (0.1638) loss_lansim: 0.1203 (0.1170) loss_contra: 0.0008 (0.0240) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [4] [5030/5278] eta: 0:10:26 lr: 4.4391469658672287e-05 loss: 0.1410 (0.1514) loss_seg: 0.1563 (0.1638) loss_lansim: 0.1175 (0.1169) loss_contra: 0.0009 (0.0239) time: 2.5336 data: 0.0024 max mem: 31671 Epoch: [4] [5040/5278] eta: 0:10:00 lr: 4.438930979930125e-05 loss: 0.1439 (0.1514) loss_seg: 0.1589 (0.1638) loss_lansim: 0.1165 (0.1169) loss_contra: 0.0008 (0.0239) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [4] [5050/5278] eta: 0:09:35 lr: 4.438714992825318e-05 loss: 0.1590 (0.1514) loss_seg: 0.1686 (0.1638) loss_lansim: 0.1162 (0.1169) loss_contra: 0.0008 (0.0239) time: 2.5392 data: 0.0024 max mem: 31671 Epoch: [4] [5060/5278] eta: 0:09:10 lr: 4.438499004552739e-05 loss: 0.1454 (0.1514) loss_seg: 0.1570 (0.1638) loss_lansim: 0.1147 (0.1169) loss_contra: 0.0006 (0.0238) time: 2.5440 data: 0.0024 max mem: 31671 Epoch: [4] [5070/5278] eta: 0:08:45 lr: 4.438283015112319e-05 loss: 0.1454 (0.1514) loss_seg: 0.1570 (0.1638) loss_lansim: 0.1147 (0.1169) loss_contra: 0.0008 (0.0238) time: 2.5501 data: 0.0024 max mem: 31671 Epoch: [4] [5080/5278] eta: 0:08:19 lr: 4.438067024503986e-05 loss: 0.1389 (0.1514) loss_seg: 0.1495 (0.1638) loss_lansim: 0.1147 (0.1169) loss_contra: 0.0006 (0.0238) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [4] [5090/5278] eta: 0:07:54 lr: 4.437851032727673e-05 loss: 0.1410 (0.1513) loss_seg: 0.1495 (0.1638) loss_lansim: 0.1156 (0.1170) loss_contra: 0.0005 (0.0237) time: 2.5662 data: 0.0025 max mem: 31671 Epoch: [4] [5100/5278] eta: 0:07:29 lr: 4.4376350397833094e-05 loss: 0.1342 (0.1514) loss_seg: 0.1490 (0.1638) loss_lansim: 0.1164 (0.1170) loss_contra: 0.0004 (0.0238) time: 2.5688 data: 0.0025 max mem: 31671 Epoch: [4] [5110/5278] eta: 0:07:04 lr: 4.437419045670826e-05 loss: 0.1342 (0.1514) loss_seg: 0.1489 (0.1638) loss_lansim: 0.1162 (0.1170) loss_contra: 0.0005 (0.0237) time: 2.5557 data: 0.0025 max mem: 31671 Epoch: [4] [5120/5278] eta: 0:06:38 lr: 4.437203050390153e-05 loss: 0.1406 (0.1514) loss_seg: 0.1546 (0.1639) loss_lansim: 0.1155 (0.1170) loss_contra: 0.0005 (0.0238) time: 2.5627 data: 0.0025 max mem: 31671 Epoch: [4] [5130/5278] eta: 0:06:13 lr: 4.436987053941222e-05 loss: 0.1435 (0.1515) loss_seg: 0.1548 (0.1639) loss_lansim: 0.1155 (0.1170) loss_contra: 0.0005 (0.0238) time: 2.5567 data: 0.0025 max mem: 31671 Epoch: [4] [5140/5278] eta: 0:05:48 lr: 4.436771056323962e-05 loss: 0.1487 (0.1515) loss_seg: 0.1570 (0.1639) loss_lansim: 0.1143 (0.1170) loss_contra: 0.0005 (0.0238) time: 2.5622 data: 0.0025 max mem: 31671 Epoch: [4] [5150/5278] eta: 0:05:23 lr: 4.436555057538304e-05 loss: 0.1368 (0.1514) loss_seg: 0.1498 (0.1638) loss_lansim: 0.1136 (0.1170) loss_contra: 0.0005 (0.0238) time: 2.5527 data: 0.0024 max mem: 31671 Epoch: [4] [5160/5278] eta: 0:04:57 lr: 4.43633905758418e-05 loss: 0.1389 (0.1514) loss_seg: 0.1521 (0.1639) loss_lansim: 0.1136 (0.1170) loss_contra: 0.0006 (0.0238) time: 2.5543 data: 0.0024 max mem: 31671 Epoch: [4] [5170/5278] eta: 0:04:32 lr: 4.436123056461518e-05 loss: 0.1368 (0.1515) loss_seg: 0.1519 (0.1639) loss_lansim: 0.1134 (0.1170) loss_contra: 0.0006 (0.0237) time: 2.5469 data: 0.0024 max mem: 31671 Epoch: [4] [5180/5278] eta: 0:04:07 lr: 4.43590705417025e-05 loss: 0.1366 (0.1514) loss_seg: 0.1498 (0.1639) loss_lansim: 0.1134 (0.1169) loss_contra: 0.0006 (0.0237) time: 2.5412 data: 0.0024 max mem: 31671 Epoch: [4] [5190/5278] eta: 0:03:42 lr: 4.435691050710305e-05 loss: 0.1366 (0.1514) loss_seg: 0.1498 (0.1638) loss_lansim: 0.1134 (0.1170) loss_contra: 0.0007 (0.0238) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [4] [5200/5278] eta: 0:03:16 lr: 4.435475046081615e-05 loss: 0.1308 (0.1512) loss_seg: 0.1453 (0.1637) loss_lansim: 0.1085 (0.1169) loss_contra: 0.0007 (0.0238) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [4] [5210/5278] eta: 0:02:51 lr: 4.43525904028411e-05 loss: 0.1300 (0.1512) loss_seg: 0.1441 (0.1636) loss_lansim: 0.1070 (0.1169) loss_contra: 0.0006 (0.0237) time: 2.5412 data: 0.0024 max mem: 31671 Epoch: [4] [5220/5278] eta: 0:02:26 lr: 4.4350430333177215e-05 loss: 0.1231 (0.1511) loss_seg: 0.1341 (0.1635) loss_lansim: 0.1038 (0.1168) loss_contra: 0.0007 (0.0241) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [4] [5230/5278] eta: 0:02:01 lr: 4.434827025182377e-05 loss: 0.1210 (0.1511) loss_seg: 0.1328 (0.1635) loss_lansim: 0.1038 (0.1168) loss_contra: 0.0008 (0.0241) time: 2.5470 data: 0.0024 max mem: 31671 Epoch: [4] [5240/5278] eta: 0:01:35 lr: 4.434611015878009e-05 loss: 0.1179 (0.1510) loss_seg: 0.1286 (0.1635) loss_lansim: 0.1010 (0.1168) loss_contra: 0.0015 (0.0241) time: 2.5392 data: 0.0024 max mem: 31671 Epoch: [4] [5250/5278] eta: 0:01:10 lr: 4.4343950054045484e-05 loss: 0.1204 (0.1510) loss_seg: 0.1304 (0.1634) loss_lansim: 0.1004 (0.1167) loss_contra: 0.0014 (0.0241) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [4] [5260/5278] eta: 0:00:45 lr: 4.4341789937619244e-05 loss: 0.1161 (0.1510) loss_seg: 0.1252 (0.1634) loss_lansim: 0.0996 (0.1167) loss_contra: 0.0012 (0.0241) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [4] [5270/5278] eta: 0:00:20 lr: 4.433962980950068e-05 loss: 0.1146 (0.1509) loss_seg: 0.1227 (0.1633) loss_lansim: 0.0968 (0.1166) loss_contra: 0.0014 (0.0241) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [4] Total time: 3:42:09 Test: [ 0/2573] eta: 1:33:42 time: 2.1853 data: 1.9628 max mem: 31671 Test: [ 100/2573] eta: 0:06:42 time: 0.1424 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:07 time: 0.1472 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:41 time: 0.1413 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:23 time: 0.1439 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:06 time: 0.1443 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:50 time: 0.1453 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1513 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1468 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1471 data: 0.0014 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1464 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:37 time: 0.1459 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1470 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1455 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1420 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1462 data: 0.0014 max mem: 31671 Test: [1600/2573] eta: 0:02:22 time: 0.1443 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1455 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1437 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1426 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1430 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1480 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1422 data: 0.0014 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1467 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1451 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1461 data: 0.0015 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 45.73 precision@0.6 = 39.73 precision@0.7 = 32.11 precision@0.8 = 22.63 precision@0.9 = 7.97 overall IoU = 45.77 mean IoU = 41.70 Average object IoU 0.41703778704510697 Overall IoU 45.76771902755926 Epoch: [5] [ 0/5278] eta: 8:42:01 lr: 4.4337901698586876e-05 loss: 0.1201 (0.1201) loss_seg: 0.1334 (0.1334) loss_lansim: 0.1127 (0.1127) loss_contra: 0.0001 (0.0001) time: 5.9343 data: 1.1664 max mem: 31671 Epoch: [5] [ 10/5278] eta: 4:11:21 lr: 4.433574154942037e-05 loss: 0.1185 (0.1456) loss_seg: 0.1276 (0.1591) loss_lansim: 0.0913 (0.0945) loss_contra: 0.0001 (0.0009) time: 2.8629 data: 0.1083 max mem: 31671 Epoch: [5] [ 20/5278] eta: 4:00:14 lr: 4.433358138855957e-05 loss: 0.1099 (0.1335) loss_seg: 0.1175 (0.1464) loss_lansim: 0.0920 (0.0939) loss_contra: 0.0001 (0.0010) time: 2.7415 data: 0.0575 max mem: 31671 Epoch: [5] [ 30/5278] eta: 3:54:31 lr: 4.433142121600382e-05 loss: 0.1084 (0.1277) loss_seg: 0.1157 (0.1383) loss_lansim: 0.0952 (0.0956) loss_contra: 0.0001 (0.0029) time: 2.6813 data: 0.0398 max mem: 31671 Epoch: [5] [ 40/5278] eta: 3:51:58 lr: 4.432926103175239e-05 loss: 0.1099 (0.1294) loss_seg: 0.1175 (0.1410) loss_lansim: 0.0952 (0.0982) loss_contra: 0.0001 (0.0046) time: 2.6572 data: 0.0307 max mem: 31671 Epoch: [5] [ 50/5278] eta: 3:49:53 lr: 4.4327100835804595e-05 loss: 0.1185 (0.1307) loss_seg: 0.1220 (0.1414) loss_lansim: 0.0974 (0.0985) loss_contra: 0.0004 (0.0049) time: 2.6383 data: 0.0251 max mem: 31671 Epoch: [5] [ 60/5278] eta: 3:48:18 lr: 4.432494062815974e-05 loss: 0.1201 (0.1314) loss_seg: 0.1306 (0.1422) loss_lansim: 0.0969 (0.0978) loss_contra: 0.0004 (0.0052) time: 2.6252 data: 0.0214 max mem: 31671 Epoch: [5] [ 70/5278] eta: 3:46:37 lr: 4.432278040881712e-05 loss: 0.1222 (0.1340) loss_seg: 0.1334 (0.1446) loss_lansim: 0.0982 (0.0986) loss_contra: 0.0004 (0.0055) time: 2.6110 data: 0.0187 max mem: 31671 Epoch: [5] [ 80/5278] eta: 3:45:04 lr: 4.432062017777605e-05 loss: 0.1185 (0.1397) loss_seg: 0.1276 (0.1499) loss_lansim: 0.0981 (0.0978) loss_contra: 0.0004 (0.0057) time: 2.5980 data: 0.0167 max mem: 31671 Epoch: [5] [ 90/5278] eta: 3:43:51 lr: 4.431845993503582e-05 loss: 0.1175 (0.1391) loss_seg: 0.1252 (0.1498) loss_lansim: 0.0981 (0.0984) loss_contra: 0.0003 (0.0052) time: 2.5890 data: 0.0151 max mem: 31671 Epoch: [5] [ 100/5278] eta: 3:42:52 lr: 4.431629968059575e-05 loss: 0.1151 (0.1393) loss_seg: 0.1249 (0.1504) loss_lansim: 0.0974 (0.0987) loss_contra: 0.0003 (0.0085) time: 2.5489 data: 0.0024 max mem: 31671 Epoch: [5] [ 110/5278] eta: 3:42:02 lr: 4.431413941445512e-05 loss: 0.1222 (0.1404) loss_seg: 0.1306 (0.1519) loss_lansim: 0.0998 (0.0998) loss_contra: 0.0004 (0.0083) time: 2.5465 data: 0.0024 max mem: 31671 Epoch: [5] [ 120/5278] eta: 3:40:46 lr: 4.4311979136613256e-05 loss: 0.1224 (0.1388) loss_seg: 0.1347 (0.1503) loss_lansim: 0.1004 (0.1001) loss_contra: 0.0004 (0.0084) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [5] [ 130/5278] eta: 3:40:15 lr: 4.4309818847069454e-05 loss: 0.1277 (0.1365) loss_seg: 0.1347 (0.1478) loss_lansim: 0.1008 (0.1000) loss_contra: 0.0005 (0.0084) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [5] [ 140/5278] eta: 3:39:37 lr: 4.4307658545823004e-05 loss: 0.1222 (0.1361) loss_seg: 0.1306 (0.1475) loss_lansim: 0.0998 (0.1000) loss_contra: 0.0005 (0.0079) time: 2.5269 data: 0.0024 max mem: 31671 Epoch: [5] [ 150/5278] eta: 3:38:50 lr: 4.430549823287322e-05 loss: 0.1178 (0.1372) loss_seg: 0.1306 (0.1487) loss_lansim: 0.1008 (0.1006) loss_contra: 0.0005 (0.0082) time: 2.5209 data: 0.0024 max mem: 31671 Epoch: [5] [ 160/5278] eta: 3:38:43 lr: 4.43033379082194e-05 loss: 0.1127 (0.1355) loss_seg: 0.1252 (0.1471) loss_lansim: 0.1014 (0.1011) loss_contra: 0.0004 (0.0077) time: 2.5270 data: 0.0024 max mem: 31671 Epoch: [5] [ 170/5278] eta: 3:38:03 lr: 4.4301177571860856e-05 loss: 0.1133 (0.1363) loss_seg: 0.1252 (0.1479) loss_lansim: 0.1016 (0.1015) loss_contra: 0.0004 (0.0073) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [5] [ 180/5278] eta: 3:37:31 lr: 4.429901722379688e-05 loss: 0.1175 (0.1363) loss_seg: 0.1258 (0.1476) loss_lansim: 0.1023 (0.1017) loss_contra: 0.0004 (0.0102) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [5] [ 190/5278] eta: 3:37:05 lr: 4.429685686402678e-05 loss: 0.1178 (0.1352) loss_seg: 0.1269 (0.1465) loss_lansim: 0.1031 (0.1026) loss_contra: 0.0005 (0.0098) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [5] [ 200/5278] eta: 3:36:49 lr: 4.429469649254985e-05 loss: 0.1215 (0.1377) loss_seg: 0.1310 (0.1493) loss_lansim: 0.1033 (0.1031) loss_contra: 0.0006 (0.0121) time: 2.5411 data: 0.0025 max mem: 31671 Epoch: [5] [ 210/5278] eta: 3:36:12 lr: 4.4292536109365406e-05 loss: 0.1215 (0.1395) loss_seg: 0.1310 (0.1511) loss_lansim: 0.1042 (0.1037) loss_contra: 0.0005 (0.0116) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [5] [ 220/5278] eta: 3:35:58 lr: 4.4290375714472735e-05 loss: 0.1229 (0.1386) loss_seg: 0.1310 (0.1500) loss_lansim: 0.1046 (0.1042) loss_contra: 0.0006 (0.0135) time: 2.5547 data: 0.0025 max mem: 31671 Epoch: [5] [ 230/5278] eta: 3:35:28 lr: 4.428821530787115e-05 loss: 0.1237 (0.1388) loss_seg: 0.1368 (0.1504) loss_lansim: 0.1088 (0.1044) loss_contra: 0.0008 (0.0132) time: 2.5533 data: 0.0026 max mem: 31671 Epoch: [5] [ 240/5278] eta: 3:35:01 lr: 4.4286054889559954e-05 loss: 0.1237 (0.1383) loss_seg: 0.1368 (0.1499) loss_lansim: 0.1098 (0.1045) loss_contra: 0.0011 (0.0129) time: 2.5552 data: 0.0025 max mem: 31671 Epoch: [5] [ 250/5278] eta: 3:34:41 lr: 4.4283894459538435e-05 loss: 0.1232 (0.1384) loss_seg: 0.1357 (0.1500) loss_lansim: 0.1109 (0.1050) loss_contra: 0.0008 (0.0138) time: 2.5641 data: 0.0025 max mem: 31671 Epoch: [5] [ 260/5278] eta: 3:33:59 lr: 4.4281734017805906e-05 loss: 0.1277 (0.1397) loss_seg: 0.1403 (0.1513) loss_lansim: 0.1109 (0.1053) loss_contra: 0.0010 (0.0152) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [5] [ 270/5278] eta: 3:33:27 lr: 4.427957356436166e-05 loss: 0.1291 (0.1400) loss_seg: 0.1434 (0.1516) loss_lansim: 0.1108 (0.1052) loss_contra: 0.0011 (0.0152) time: 2.5509 data: 0.0025 max mem: 31671 Epoch: [5] [ 280/5278] eta: 3:33:04 lr: 4.427741309920501e-05 loss: 0.1297 (0.1401) loss_seg: 0.1439 (0.1517) loss_lansim: 0.1098 (0.1049) loss_contra: 0.0011 (0.0149) time: 2.5536 data: 0.0025 max mem: 31671 Epoch: [5] [ 290/5278] eta: 3:32:33 lr: 4.4275252622335254e-05 loss: 0.1325 (0.1400) loss_seg: 0.1461 (0.1515) loss_lansim: 0.1085 (0.1049) loss_contra: 0.0017 (0.0156) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [5] [ 300/5278] eta: 3:32:07 lr: 4.427309213375169e-05 loss: 0.1297 (0.1399) loss_seg: 0.1439 (0.1515) loss_lansim: 0.1078 (0.1049) loss_contra: 0.0012 (0.0170) time: 2.5461 data: 0.0025 max mem: 31671 Epoch: [5] [ 310/5278] eta: 3:31:35 lr: 4.4270931633453625e-05 loss: 0.1297 (0.1411) loss_seg: 0.1439 (0.1528) loss_lansim: 0.1076 (0.1054) loss_contra: 0.0019 (0.0240) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [5] [ 320/5278] eta: 3:31:02 lr: 4.426877112144035e-05 loss: 0.1312 (0.1415) loss_seg: 0.1443 (0.1533) loss_lansim: 0.1076 (0.1056) loss_contra: 0.0016 (0.0246) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [5] [ 330/5278] eta: 3:30:33 lr: 4.426661059771118e-05 loss: 0.1317 (0.1428) loss_seg: 0.1461 (0.1549) loss_lansim: 0.1087 (0.1059) loss_contra: 0.0009 (0.0239) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [5] [ 340/5278] eta: 3:30:01 lr: 4.42644500622654e-05 loss: 0.1315 (0.1424) loss_seg: 0.1459 (0.1544) loss_lansim: 0.1085 (0.1061) loss_contra: 0.0010 (0.0234) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [5] [ 350/5278] eta: 3:29:38 lr: 4.4262289515102326e-05 loss: 0.1315 (0.1419) loss_seg: 0.1459 (0.1539) loss_lansim: 0.1065 (0.1064) loss_contra: 0.0010 (0.0244) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [5] [ 360/5278] eta: 3:29:12 lr: 4.426012895622125e-05 loss: 0.1317 (0.1415) loss_seg: 0.1461 (0.1535) loss_lansim: 0.1085 (0.1067) loss_contra: 0.0010 (0.0238) time: 2.5356 data: 0.0025 max mem: 31671 Epoch: [5] [ 370/5278] eta: 3:28:51 lr: 4.425796838562148e-05 loss: 0.1312 (0.1414) loss_seg: 0.1424 (0.1535) loss_lansim: 0.1128 (0.1072) loss_contra: 0.0009 (0.0233) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [5] [ 380/5278] eta: 3:28:19 lr: 4.42558078033023e-05 loss: 0.1278 (0.1410) loss_seg: 0.1392 (0.1530) loss_lansim: 0.1159 (0.1078) loss_contra: 0.0010 (0.0229) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [5] [ 390/5278] eta: 3:27:48 lr: 4.4253647209263035e-05 loss: 0.1278 (0.1422) loss_seg: 0.1392 (0.1544) loss_lansim: 0.1159 (0.1078) loss_contra: 0.0009 (0.0225) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [5] [ 400/5278] eta: 3:27:10 lr: 4.425148660350297e-05 loss: 0.1318 (0.1423) loss_seg: 0.1424 (0.1545) loss_lansim: 0.1173 (0.1080) loss_contra: 0.0009 (0.0226) time: 2.5229 data: 0.0024 max mem: 31671 Epoch: [5] [ 410/5278] eta: 3:26:49 lr: 4.42493259860214e-05 loss: 0.1315 (0.1417) loss_seg: 0.1392 (0.1538) loss_lansim: 0.1177 (0.1083) loss_contra: 0.0008 (0.0223) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [5] [ 420/5278] eta: 3:26:18 lr: 4.4247165356817647e-05 loss: 0.1323 (0.1426) loss_seg: 0.1459 (0.1547) loss_lansim: 0.1180 (0.1089) loss_contra: 0.0009 (0.0235) time: 2.5287 data: 0.0024 max mem: 31671 Epoch: [5] [ 430/5278] eta: 3:25:50 lr: 4.4245004715890995e-05 loss: 0.1281 (0.1417) loss_seg: 0.1392 (0.1537) loss_lansim: 0.1180 (0.1090) loss_contra: 0.0009 (0.0231) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [5] [ 440/5278] eta: 3:25:27 lr: 4.424284406324074e-05 loss: 0.1323 (0.1418) loss_seg: 0.1424 (0.1539) loss_lansim: 0.1180 (0.1091) loss_contra: 0.0010 (0.0254) time: 2.5347 data: 0.0024 max mem: 31671 Epoch: [5] [ 450/5278] eta: 3:25:04 lr: 4.424068339886621e-05 loss: 0.1318 (0.1414) loss_seg: 0.1395 (0.1533) loss_lansim: 0.1180 (0.1092) loss_contra: 0.0007 (0.0249) time: 2.5345 data: 0.0024 max mem: 31671 Epoch: [5] [ 460/5278] eta: 3:24:28 lr: 4.4238522722766675e-05 loss: 0.1258 (0.1408) loss_seg: 0.1342 (0.1526) loss_lansim: 0.1174 (0.1092) loss_contra: 0.0007 (0.0245) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [5] [ 470/5278] eta: 3:23:55 lr: 4.423636203494144e-05 loss: 0.1251 (0.1404) loss_seg: 0.1342 (0.1522) loss_lansim: 0.1166 (0.1092) loss_contra: 0.0007 (0.0241) time: 2.5134 data: 0.0025 max mem: 31671 Epoch: [5] [ 480/5278] eta: 3:23:24 lr: 4.423420133538981e-05 loss: 0.1251 (0.1418) loss_seg: 0.1368 (0.1535) loss_lansim: 0.1160 (0.1095) loss_contra: 0.0006 (0.0240) time: 2.5114 data: 0.0025 max mem: 31671 Epoch: [5] [ 490/5278] eta: 3:22:59 lr: 4.4232040624111096e-05 loss: 0.1221 (0.1412) loss_seg: 0.1298 (0.1529) loss_lansim: 0.1160 (0.1094) loss_contra: 0.0006 (0.0236) time: 2.5159 data: 0.0024 max mem: 31671 Epoch: [5] [ 500/5278] eta: 3:22:28 lr: 4.422987990110458e-05 loss: 0.1221 (0.1414) loss_seg: 0.1298 (0.1531) loss_lansim: 0.1160 (0.1097) loss_contra: 0.0005 (0.0232) time: 2.5201 data: 0.0024 max mem: 31671 Epoch: [5] [ 510/5278] eta: 3:21:55 lr: 4.422771916636957e-05 loss: 0.1218 (0.1410) loss_seg: 0.1325 (0.1527) loss_lansim: 0.1142 (0.1096) loss_contra: 0.0005 (0.0228) time: 2.5072 data: 0.0025 max mem: 31671 Epoch: [5] [ 520/5278] eta: 3:21:19 lr: 4.4225558419905366e-05 loss: 0.1193 (0.1412) loss_seg: 0.1282 (0.1529) loss_lansim: 0.1116 (0.1098) loss_contra: 0.0004 (0.0224) time: 2.5005 data: 0.0025 max mem: 31671 Epoch: [5] [ 530/5278] eta: 3:20:53 lr: 4.422339766171127e-05 loss: 0.1218 (0.1414) loss_seg: 0.1334 (0.1531) loss_lansim: 0.1131 (0.1100) loss_contra: 0.0004 (0.0224) time: 2.5010 data: 0.0025 max mem: 31671 Epoch: [5] [ 540/5278] eta: 3:20:17 lr: 4.422123689178658e-05 loss: 0.1218 (0.1412) loss_seg: 0.1334 (0.1528) loss_lansim: 0.1160 (0.1101) loss_contra: 0.0003 (0.0221) time: 2.4852 data: 0.0025 max mem: 31671 Epoch: [5] [ 550/5278] eta: 3:19:51 lr: 4.4219076110130586e-05 loss: 0.1240 (0.1419) loss_seg: 0.1351 (0.1535) loss_lansim: 0.1160 (0.1103) loss_contra: 0.0004 (0.0229) time: 2.4813 data: 0.0025 max mem: 31671 Epoch: [5] [ 560/5278] eta: 3:19:24 lr: 4.421691531674259e-05 loss: 0.1240 (0.1417) loss_seg: 0.1351 (0.1534) loss_lansim: 0.1163 (0.1104) loss_contra: 0.0004 (0.0237) time: 2.4882 data: 0.0025 max mem: 31671 Epoch: [5] [ 570/5278] eta: 3:19:04 lr: 4.42147545116219e-05 loss: 0.1221 (0.1414) loss_seg: 0.1334 (0.1530) loss_lansim: 0.1159 (0.1103) loss_contra: 0.0004 (0.0234) time: 2.5007 data: 0.0025 max mem: 31671 Epoch: [5] [ 580/5278] eta: 3:18:43 lr: 4.421259369476782e-05 loss: 0.1215 (0.1407) loss_seg: 0.1321 (0.1522) loss_lansim: 0.1156 (0.1105) loss_contra: 0.0005 (0.0231) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [5] [ 590/5278] eta: 3:18:19 lr: 4.421043286617963e-05 loss: 0.1215 (0.1404) loss_seg: 0.1301 (0.1518) loss_lansim: 0.1156 (0.1105) loss_contra: 0.0007 (0.0241) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [5] [ 600/5278] eta: 3:17:55 lr: 4.420827202585665e-05 loss: 0.1215 (0.1407) loss_seg: 0.1325 (0.1523) loss_lansim: 0.1117 (0.1104) loss_contra: 0.0007 (0.0244) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [5] [ 610/5278] eta: 3:17:32 lr: 4.420611117379816e-05 loss: 0.1211 (0.1406) loss_seg: 0.1301 (0.1522) loss_lansim: 0.1146 (0.1106) loss_contra: 0.0006 (0.0241) time: 2.5299 data: 0.0025 max mem: 31671 Epoch: [5] [ 620/5278] eta: 3:17:06 lr: 4.420395031000347e-05 loss: 0.1194 (0.1404) loss_seg: 0.1263 (0.1519) loss_lansim: 0.1133 (0.1108) loss_contra: 0.0008 (0.0239) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [5] [ 630/5278] eta: 3:16:45 lr: 4.420178943447188e-05 loss: 0.1188 (0.1404) loss_seg: 0.1263 (0.1520) loss_lansim: 0.1146 (0.1109) loss_contra: 0.0007 (0.0236) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [5] [ 640/5278] eta: 3:16:19 lr: 4.419962854720268e-05 loss: 0.1119 (0.1396) loss_seg: 0.1227 (0.1511) loss_lansim: 0.1124 (0.1109) loss_contra: 0.0007 (0.0244) time: 2.5585 data: 0.0025 max mem: 31671 Epoch: [5] [ 650/5278] eta: 3:15:55 lr: 4.419746764819517e-05 loss: 0.1116 (0.1397) loss_seg: 0.1227 (0.1513) loss_lansim: 0.1117 (0.1110) loss_contra: 0.0006 (0.0241) time: 2.5609 data: 0.0025 max mem: 31671 Epoch: [5] [ 660/5278] eta: 3:15:25 lr: 4.419530673744865e-05 loss: 0.1132 (0.1397) loss_seg: 0.1257 (0.1512) loss_lansim: 0.1120 (0.1111) loss_contra: 0.0008 (0.0248) time: 2.5569 data: 0.0024 max mem: 31671 Epoch: [5] [ 670/5278] eta: 3:15:04 lr: 4.4193145814962435e-05 loss: 0.1134 (0.1403) loss_seg: 0.1260 (0.1518) loss_lansim: 0.1120 (0.1111) loss_contra: 0.0008 (0.0245) time: 2.5571 data: 0.0024 max mem: 31671 Epoch: [5] [ 680/5278] eta: 3:14:39 lr: 4.419098488073579e-05 loss: 0.1211 (0.1413) loss_seg: 0.1345 (0.1530) loss_lansim: 0.1122 (0.1111) loss_contra: 0.0005 (0.0246) time: 2.5521 data: 0.0024 max mem: 31671 Epoch: [5] [ 690/5278] eta: 3:14:11 lr: 4.418882393476804e-05 loss: 0.1259 (0.1413) loss_seg: 0.1393 (0.1530) loss_lansim: 0.1132 (0.1112) loss_contra: 0.0005 (0.0243) time: 2.5468 data: 0.0024 max mem: 31671 Epoch: [5] [ 700/5278] eta: 3:13:42 lr: 4.418666297705848e-05 loss: 0.1259 (0.1412) loss_seg: 0.1393 (0.1529) loss_lansim: 0.1166 (0.1115) loss_contra: 0.0005 (0.0243) time: 2.5400 data: 0.0024 max mem: 31671 Epoch: [5] [ 710/5278] eta: 3:13:19 lr: 4.4184502007606406e-05 loss: 0.1292 (0.1420) loss_seg: 0.1398 (0.1538) loss_lansim: 0.1133 (0.1115) loss_contra: 0.0008 (0.0240) time: 2.5398 data: 0.0024 max mem: 31671 Epoch: [5] [ 720/5278] eta: 3:12:55 lr: 4.418234102641111e-05 loss: 0.1304 (0.1419) loss_seg: 0.1398 (0.1537) loss_lansim: 0.1159 (0.1116) loss_contra: 0.0005 (0.0237) time: 2.5441 data: 0.0024 max mem: 31671 Epoch: [5] [ 730/5278] eta: 3:12:26 lr: 4.418018003347188e-05 loss: 0.1304 (0.1416) loss_seg: 0.1398 (0.1533) loss_lansim: 0.1171 (0.1118) loss_contra: 0.0005 (0.0235) time: 2.5323 data: 0.0024 max mem: 31671 Epoch: [5] [ 740/5278] eta: 3:11:59 lr: 4.417801902878804e-05 loss: 0.1349 (0.1414) loss_seg: 0.1450 (0.1531) loss_lansim: 0.1176 (0.1119) loss_contra: 0.0005 (0.0235) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [5] [ 750/5278] eta: 3:11:36 lr: 4.417585801235888e-05 loss: 0.1332 (0.1410) loss_seg: 0.1435 (0.1527) loss_lansim: 0.1176 (0.1119) loss_contra: 0.0005 (0.0234) time: 2.5322 data: 0.0024 max mem: 31671 Epoch: [5] [ 760/5278] eta: 3:11:10 lr: 4.4173696984183685e-05 loss: 0.1353 (0.1418) loss_seg: 0.1467 (0.1536) loss_lansim: 0.1176 (0.1120) loss_contra: 0.0005 (0.0232) time: 2.5368 data: 0.0024 max mem: 31671 Epoch: [5] [ 770/5278] eta: 3:10:47 lr: 4.417153594426176e-05 loss: 0.1349 (0.1422) loss_seg: 0.1438 (0.1540) loss_lansim: 0.1176 (0.1120) loss_contra: 0.0005 (0.0229) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [5] [ 780/5278] eta: 3:10:19 lr: 4.41693748925924e-05 loss: 0.1292 (0.1424) loss_seg: 0.1317 (0.1542) loss_lansim: 0.1181 (0.1122) loss_contra: 0.0005 (0.0227) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [5] [ 790/5278] eta: 3:09:53 lr: 4.416721382917492e-05 loss: 0.1189 (0.1423) loss_seg: 0.1316 (0.1541) loss_lansim: 0.1180 (0.1122) loss_contra: 0.0005 (0.0224) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [5] [ 800/5278] eta: 3:09:29 lr: 4.416505275400859e-05 loss: 0.1165 (0.1418) loss_seg: 0.1252 (0.1536) loss_lansim: 0.1181 (0.1123) loss_contra: 0.0005 (0.0232) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [5] [ 810/5278] eta: 3:09:04 lr: 4.416289166709272e-05 loss: 0.1152 (0.1416) loss_seg: 0.1252 (0.1534) loss_lansim: 0.1195 (0.1125) loss_contra: 0.0005 (0.0230) time: 2.5385 data: 0.0025 max mem: 31671 Epoch: [5] [ 820/5278] eta: 3:08:36 lr: 4.416073056842662e-05 loss: 0.1142 (0.1417) loss_seg: 0.1252 (0.1535) loss_lansim: 0.1184 (0.1126) loss_contra: 0.0005 (0.0227) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [5] [ 830/5278] eta: 3:08:06 lr: 4.415856945800957e-05 loss: 0.1127 (0.1416) loss_seg: 0.1195 (0.1534) loss_lansim: 0.1184 (0.1127) loss_contra: 0.0009 (0.0226) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [5] [ 840/5278] eta: 3:07:35 lr: 4.4156408335840864e-05 loss: 0.1152 (0.1414) loss_seg: 0.1220 (0.1532) loss_lansim: 0.1191 (0.1128) loss_contra: 0.0009 (0.0225) time: 2.5189 data: 0.0025 max mem: 31671 Epoch: [5] [ 850/5278] eta: 3:07:11 lr: 4.4154247201919814e-05 loss: 0.1181 (0.1423) loss_seg: 0.1264 (0.1541) loss_lansim: 0.1198 (0.1132) loss_contra: 0.0011 (0.0230) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [5] [ 860/5278] eta: 3:06:43 lr: 4.415208605624571e-05 loss: 0.1152 (0.1422) loss_seg: 0.1260 (0.1540) loss_lansim: 0.1209 (0.1137) loss_contra: 0.0011 (0.0231) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [5] [ 870/5278] eta: 3:06:18 lr: 4.414992489881785e-05 loss: 0.1165 (0.1422) loss_seg: 0.1261 (0.1540) loss_lansim: 0.1214 (0.1138) loss_contra: 0.0012 (0.0229) time: 2.5096 data: 0.0025 max mem: 31671 Epoch: [5] [ 880/5278] eta: 3:05:54 lr: 4.4147763729635526e-05 loss: 0.1181 (0.1423) loss_seg: 0.1264 (0.1541) loss_lansim: 0.1237 (0.1143) loss_contra: 0.0012 (0.0228) time: 2.5157 data: 0.0025 max mem: 31671 Epoch: [5] [ 890/5278] eta: 3:05:29 lr: 4.414560254869804e-05 loss: 0.1174 (0.1421) loss_seg: 0.1264 (0.1539) loss_lansim: 0.1279 (0.1149) loss_contra: 0.0011 (0.0226) time: 2.5193 data: 0.0025 max mem: 31671 Epoch: [5] [ 900/5278] eta: 3:05:07 lr: 4.414344135600469e-05 loss: 0.1174 (0.1419) loss_seg: 0.1261 (0.1536) loss_lansim: 0.1309 (0.1153) loss_contra: 0.0011 (0.0225) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [5] [ 910/5278] eta: 3:04:42 lr: 4.414128015155476e-05 loss: 0.1187 (0.1421) loss_seg: 0.1301 (0.1539) loss_lansim: 0.1340 (0.1157) loss_contra: 0.0011 (0.0224) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [5] [ 920/5278] eta: 3:04:14 lr: 4.4139118935347565e-05 loss: 0.1161 (0.1417) loss_seg: 0.1260 (0.1534) loss_lansim: 0.1382 (0.1161) loss_contra: 0.0009 (0.0228) time: 2.5209 data: 0.0026 max mem: 31671 Epoch: [5] [ 930/5278] eta: 3:03:52 lr: 4.413695770738239e-05 loss: 0.1237 (0.1423) loss_seg: 0.1371 (0.1542) loss_lansim: 0.1390 (0.1163) loss_contra: 0.0007 (0.0228) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [5] [ 940/5278] eta: 3:03:23 lr: 4.413479646765854e-05 loss: 0.1207 (0.1421) loss_seg: 0.1320 (0.1539) loss_lansim: 0.1409 (0.1164) loss_contra: 0.0008 (0.0226) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [5] [ 950/5278] eta: 3:03:00 lr: 4.41326352161753e-05 loss: 0.1207 (0.1422) loss_seg: 0.1320 (0.1540) loss_lansim: 0.1382 (0.1164) loss_contra: 0.0009 (0.0224) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [5] [ 960/5278] eta: 3:02:34 lr: 4.4130473952931974e-05 loss: 0.1214 (0.1422) loss_seg: 0.1339 (0.1540) loss_lansim: 0.1364 (0.1164) loss_contra: 0.0007 (0.0223) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [5] [ 970/5278] eta: 3:02:09 lr: 4.412831267792785e-05 loss: 0.1264 (0.1422) loss_seg: 0.1371 (0.1540) loss_lansim: 0.1359 (0.1165) loss_contra: 0.0007 (0.0222) time: 2.5474 data: 0.0025 max mem: 31671 Epoch: [5] [ 980/5278] eta: 3:01:44 lr: 4.412615139116223e-05 loss: 0.1264 (0.1421) loss_seg: 0.1371 (0.1539) loss_lansim: 0.1309 (0.1165) loss_contra: 0.0007 (0.0222) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [5] [ 990/5278] eta: 3:01:19 lr: 4.41239900926344e-05 loss: 0.1265 (0.1420) loss_seg: 0.1371 (0.1538) loss_lansim: 0.1302 (0.1166) loss_contra: 0.0007 (0.0222) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [5] [1000/5278] eta: 3:00:53 lr: 4.4121828782343684e-05 loss: 0.1276 (0.1420) loss_seg: 0.1386 (0.1538) loss_lansim: 0.1282 (0.1167) loss_contra: 0.0004 (0.0220) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [5] [1010/5278] eta: 3:00:25 lr: 4.411966746028935e-05 loss: 0.1251 (0.1420) loss_seg: 0.1371 (0.1537) loss_lansim: 0.1255 (0.1168) loss_contra: 0.0004 (0.0218) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [5] [1020/5278] eta: 2:59:59 lr: 4.4117506126470695e-05 loss: 0.1287 (0.1419) loss_seg: 0.1386 (0.1536) loss_lansim: 0.1220 (0.1169) loss_contra: 0.0005 (0.0218) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [5] [1030/5278] eta: 2:59:35 lr: 4.411534478088704e-05 loss: 0.1259 (0.1418) loss_seg: 0.1365 (0.1535) loss_lansim: 0.1195 (0.1169) loss_contra: 0.0007 (0.0217) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [5] [1040/5278] eta: 2:59:10 lr: 4.411318342353765e-05 loss: 0.1251 (0.1416) loss_seg: 0.1365 (0.1533) loss_lansim: 0.1182 (0.1169) loss_contra: 0.0007 (0.0223) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [5] [1050/5278] eta: 2:58:44 lr: 4.411102205442183e-05 loss: 0.1233 (0.1413) loss_seg: 0.1330 (0.1530) loss_lansim: 0.1174 (0.1168) loss_contra: 0.0007 (0.0224) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [5] [1060/5278] eta: 2:58:18 lr: 4.410886067353888e-05 loss: 0.1247 (0.1413) loss_seg: 0.1354 (0.1530) loss_lansim: 0.1174 (0.1169) loss_contra: 0.0008 (0.0222) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [5] [1070/5278] eta: 2:57:56 lr: 4.41066992808881e-05 loss: 0.1204 (0.1412) loss_seg: 0.1298 (0.1530) loss_lansim: 0.1167 (0.1168) loss_contra: 0.0009 (0.0227) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [5] [1080/5278] eta: 2:57:32 lr: 4.410453787646878e-05 loss: 0.1210 (0.1415) loss_seg: 0.1309 (0.1533) loss_lansim: 0.1167 (0.1168) loss_contra: 0.0008 (0.0227) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [5] [1090/5278] eta: 2:57:06 lr: 4.4102376460280205e-05 loss: 0.1251 (0.1417) loss_seg: 0.1365 (0.1534) loss_lansim: 0.1157 (0.1168) loss_contra: 0.0009 (0.0225) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [5] [1100/5278] eta: 2:56:43 lr: 4.410021503232168e-05 loss: 0.1233 (0.1414) loss_seg: 0.1315 (0.1531) loss_lansim: 0.1165 (0.1168) loss_contra: 0.0016 (0.0231) time: 2.5469 data: 0.0025 max mem: 31671 Epoch: [5] [1110/5278] eta: 2:56:17 lr: 4.4098053592592505e-05 loss: 0.1259 (0.1414) loss_seg: 0.1348 (0.1531) loss_lansim: 0.1154 (0.1168) loss_contra: 0.0012 (0.0232) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [5] [1120/5278] eta: 2:55:51 lr: 4.409589214109196e-05 loss: 0.1217 (0.1414) loss_seg: 0.1315 (0.1530) loss_lansim: 0.1154 (0.1168) loss_contra: 0.0017 (0.0231) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [5] [1130/5278] eta: 2:55:23 lr: 4.4093730677819356e-05 loss: 0.1218 (0.1424) loss_seg: 0.1352 (0.1541) loss_lansim: 0.1161 (0.1168) loss_contra: 0.0023 (0.0232) time: 2.5424 data: 0.0024 max mem: 31671 Epoch: [5] [1140/5278] eta: 2:54:57 lr: 4.4091569202773974e-05 loss: 0.1316 (0.1428) loss_seg: 0.1402 (0.1545) loss_lansim: 0.1150 (0.1167) loss_contra: 0.0023 (0.0233) time: 2.5382 data: 0.0024 max mem: 31671 Epoch: [5] [1150/5278] eta: 2:54:28 lr: 4.408940771595512e-05 loss: 0.1268 (0.1425) loss_seg: 0.1399 (0.1543) loss_lansim: 0.1134 (0.1166) loss_contra: 0.0019 (0.0232) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [5] [1160/5278] eta: 2:54:02 lr: 4.4087246217362084e-05 loss: 0.1262 (0.1424) loss_seg: 0.1364 (0.1542) loss_lansim: 0.1101 (0.1164) loss_contra: 0.0024 (0.0231) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [5] [1170/5278] eta: 2:53:38 lr: 4.4085084706994154e-05 loss: 0.1289 (0.1426) loss_seg: 0.1397 (0.1543) loss_lansim: 0.1109 (0.1163) loss_contra: 0.0023 (0.0231) time: 2.5240 data: 0.0024 max mem: 31671 Epoch: [5] [1180/5278] eta: 2:53:10 lr: 4.408292318485063e-05 loss: 0.1259 (0.1424) loss_seg: 0.1352 (0.1542) loss_lansim: 0.1077 (0.1162) loss_contra: 0.0026 (0.0231) time: 2.5158 data: 0.0024 max mem: 31671 Epoch: [5] [1190/5278] eta: 2:52:46 lr: 4.4080761650930806e-05 loss: 0.1217 (0.1423) loss_seg: 0.1277 (0.1540) loss_lansim: 0.1039 (0.1161) loss_contra: 0.0019 (0.0229) time: 2.5203 data: 0.0024 max mem: 31671 Epoch: [5] [1200/5278] eta: 2:52:21 lr: 4.407860010523398e-05 loss: 0.1217 (0.1420) loss_seg: 0.1278 (0.1537) loss_lansim: 0.1036 (0.1159) loss_contra: 0.0019 (0.0228) time: 2.5151 data: 0.0024 max mem: 31671 Epoch: [5] [1210/5278] eta: 2:51:55 lr: 4.4076438547759443e-05 loss: 0.1148 (0.1418) loss_seg: 0.1252 (0.1534) loss_lansim: 0.1016 (0.1158) loss_contra: 0.0024 (0.0228) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [5] [1220/5278] eta: 2:51:31 lr: 4.407427697850649e-05 loss: 0.1193 (0.1418) loss_seg: 0.1270 (0.1535) loss_lansim: 0.0996 (0.1156) loss_contra: 0.0026 (0.0227) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [5] [1230/5278] eta: 2:51:05 lr: 4.4072115397474414e-05 loss: 0.1178 (0.1421) loss_seg: 0.1270 (0.1538) loss_lansim: 0.0981 (0.1155) loss_contra: 0.0019 (0.0226) time: 2.5248 data: 0.0026 max mem: 31671 Epoch: [5] [1240/5278] eta: 2:50:42 lr: 4.4069953804662504e-05 loss: 0.1148 (0.1422) loss_seg: 0.1259 (0.1540) loss_lansim: 0.0981 (0.1154) loss_contra: 0.0009 (0.0225) time: 2.5322 data: 0.0026 max mem: 31671 Epoch: [5] [1250/5278] eta: 2:50:15 lr: 4.406779220007006e-05 loss: 0.1158 (0.1421) loss_seg: 0.1270 (0.1539) loss_lansim: 0.0983 (0.1153) loss_contra: 0.0010 (0.0224) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [5] [1260/5278] eta: 2:49:49 lr: 4.4065630583696376e-05 loss: 0.1148 (0.1422) loss_seg: 0.1259 (0.1539) loss_lansim: 0.1008 (0.1153) loss_contra: 0.0007 (0.0223) time: 2.5359 data: 0.0026 max mem: 31671 Epoch: [5] [1270/5278] eta: 2:49:23 lr: 4.4063468955540736e-05 loss: 0.1147 (0.1422) loss_seg: 0.1259 (0.1540) loss_lansim: 0.0989 (0.1152) loss_contra: 0.0009 (0.0222) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [5] [1280/5278] eta: 2:48:59 lr: 4.4061307315602454e-05 loss: 0.1241 (0.1423) loss_seg: 0.1333 (0.1541) loss_lansim: 0.1015 (0.1153) loss_contra: 0.0007 (0.0221) time: 2.5425 data: 0.0026 max mem: 31671 Epoch: [5] [1290/5278] eta: 2:48:30 lr: 4.4059145663880805e-05 loss: 0.1241 (0.1421) loss_seg: 0.1324 (0.1539) loss_lansim: 0.1016 (0.1152) loss_contra: 0.0007 (0.0220) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [5] [1300/5278] eta: 2:48:04 lr: 4.4056984000375085e-05 loss: 0.1296 (0.1424) loss_seg: 0.1399 (0.1541) loss_lansim: 0.1033 (0.1153) loss_contra: 0.0006 (0.0218) time: 2.5239 data: 0.0026 max mem: 31671 Epoch: [5] [1310/5278] eta: 2:47:41 lr: 4.4054822325084595e-05 loss: 0.1333 (0.1423) loss_seg: 0.1449 (0.1540) loss_lansim: 0.1074 (0.1153) loss_contra: 0.0005 (0.0217) time: 2.5331 data: 0.0026 max mem: 31671 Epoch: [5] [1320/5278] eta: 2:47:17 lr: 4.405266063800862e-05 loss: 0.1273 (0.1422) loss_seg: 0.1397 (0.1539) loss_lansim: 0.1076 (0.1152) loss_contra: 0.0004 (0.0220) time: 2.5350 data: 0.0026 max mem: 31671 Epoch: [5] [1330/5278] eta: 2:46:52 lr: 4.405049893914646e-05 loss: 0.1255 (0.1421) loss_seg: 0.1375 (0.1538) loss_lansim: 0.1094 (0.1152) loss_contra: 0.0004 (0.0219) time: 2.5361 data: 0.0026 max mem: 31671 Epoch: [5] [1340/5278] eta: 2:46:24 lr: 4.40483372284974e-05 loss: 0.1250 (0.1421) loss_seg: 0.1333 (0.1538) loss_lansim: 0.1100 (0.1152) loss_contra: 0.0004 (0.0218) time: 2.5224 data: 0.0026 max mem: 31671 Epoch: [5] [1350/5278] eta: 2:45:59 lr: 4.4046175506060746e-05 loss: 0.1255 (0.1422) loss_seg: 0.1380 (0.1539) loss_lansim: 0.1101 (0.1152) loss_contra: 0.0002 (0.0216) time: 2.5259 data: 0.0026 max mem: 31671 Epoch: [5] [1360/5278] eta: 2:45:35 lr: 4.404401377183577e-05 loss: 0.1323 (0.1423) loss_seg: 0.1396 (0.1541) loss_lansim: 0.1101 (0.1152) loss_contra: 0.0003 (0.0218) time: 2.5372 data: 0.0026 max mem: 31671 Epoch: [5] [1370/5278] eta: 2:45:13 lr: 4.40418520258218e-05 loss: 0.1331 (0.1422) loss_seg: 0.1383 (0.1539) loss_lansim: 0.1106 (0.1150) loss_contra: 0.0003 (0.0217) time: 2.5475 data: 0.0026 max mem: 31671 Epoch: [5] [1380/5278] eta: 2:44:46 lr: 4.403969026801809e-05 loss: 0.1323 (0.1423) loss_seg: 0.1380 (0.1540) loss_lansim: 0.1101 (0.1150) loss_contra: 0.0002 (0.0215) time: 2.5371 data: 0.0026 max mem: 31671 Epoch: [5] [1390/5278] eta: 2:44:21 lr: 4.4037528498423944e-05 loss: 0.1286 (0.1423) loss_seg: 0.1380 (0.1540) loss_lansim: 0.1101 (0.1149) loss_contra: 0.0002 (0.0214) time: 2.5517 data: 0.0026 max mem: 31671 Epoch: [5] [1400/5278] eta: 2:43:57 lr: 4.403536671703867e-05 loss: 0.1240 (0.1420) loss_seg: 0.1312 (0.1537) loss_lansim: 0.1100 (0.1149) loss_contra: 0.0002 (0.0214) time: 2.5590 data: 0.0026 max mem: 31671 Epoch: [5] [1410/5278] eta: 2:43:31 lr: 4.403320492386154e-05 loss: 0.1233 (0.1419) loss_seg: 0.1307 (0.1536) loss_lansim: 0.1092 (0.1148) loss_contra: 0.0003 (0.0213) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [5] [1420/5278] eta: 2:43:07 lr: 4.403104311889187e-05 loss: 0.1240 (0.1421) loss_seg: 0.1312 (0.1538) loss_lansim: 0.1066 (0.1147) loss_contra: 0.0002 (0.0212) time: 2.5476 data: 0.0026 max mem: 31671 Epoch: [5] [1430/5278] eta: 2:42:42 lr: 4.402888130212894e-05 loss: 0.1240 (0.1421) loss_seg: 0.1337 (0.1538) loss_lansim: 0.1066 (0.1147) loss_contra: 0.0003 (0.0211) time: 2.5507 data: 0.0026 max mem: 31671 Epoch: [5] [1440/5278] eta: 2:42:16 lr: 4.402671947357203e-05 loss: 0.1286 (0.1423) loss_seg: 0.1361 (0.1540) loss_lansim: 0.1066 (0.1147) loss_contra: 0.0003 (0.0209) time: 2.5580 data: 0.0026 max mem: 31671 Epoch: [5] [1450/5278] eta: 2:41:48 lr: 4.402455763322045e-05 loss: 0.1225 (0.1421) loss_seg: 0.1316 (0.1539) loss_lansim: 0.1061 (0.1147) loss_contra: 0.0003 (0.0210) time: 2.5469 data: 0.0026 max mem: 31671 Epoch: [5] [1460/5278] eta: 2:41:23 lr: 4.402239578107348e-05 loss: 0.1274 (0.1425) loss_seg: 0.1340 (0.1543) loss_lansim: 0.1068 (0.1147) loss_contra: 0.0004 (0.0211) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [5] [1470/5278] eta: 2:40:58 lr: 4.4020233917130425e-05 loss: 0.1281 (0.1425) loss_seg: 0.1361 (0.1543) loss_lansim: 0.1084 (0.1147) loss_contra: 0.0005 (0.0210) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [5] [1480/5278] eta: 2:40:34 lr: 4.4018072041390564e-05 loss: 0.1233 (0.1425) loss_seg: 0.1316 (0.1543) loss_lansim: 0.1096 (0.1148) loss_contra: 0.0010 (0.0209) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [5] [1490/5278] eta: 2:40:10 lr: 4.4015910153853195e-05 loss: 0.1259 (0.1424) loss_seg: 0.1361 (0.1542) loss_lansim: 0.1096 (0.1148) loss_contra: 0.0010 (0.0208) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [5] [1500/5278] eta: 2:39:46 lr: 4.401374825451762e-05 loss: 0.1281 (0.1426) loss_seg: 0.1391 (0.1544) loss_lansim: 0.1099 (0.1147) loss_contra: 0.0012 (0.0209) time: 2.5488 data: 0.0024 max mem: 31671 Epoch: [5] [1510/5278] eta: 2:39:21 lr: 4.401158634338311e-05 loss: 0.1293 (0.1428) loss_seg: 0.1416 (0.1546) loss_lansim: 0.1096 (0.1147) loss_contra: 0.0010 (0.0210) time: 2.5509 data: 0.0024 max mem: 31671 Epoch: [5] [1520/5278] eta: 2:38:56 lr: 4.4009424420448966e-05 loss: 0.1275 (0.1427) loss_seg: 0.1365 (0.1544) loss_lansim: 0.1096 (0.1145) loss_contra: 0.0015 (0.0210) time: 2.5476 data: 0.0024 max mem: 31671 Epoch: [5] [1530/5278] eta: 2:38:32 lr: 4.4007262485714486e-05 loss: 0.1281 (0.1427) loss_seg: 0.1398 (0.1545) loss_lansim: 0.1092 (0.1145) loss_contra: 0.0012 (0.0208) time: 2.5526 data: 0.0024 max mem: 31671 Epoch: [5] [1540/5278] eta: 2:38:07 lr: 4.400510053917895e-05 loss: 0.1272 (0.1426) loss_seg: 0.1391 (0.1543) loss_lansim: 0.1072 (0.1144) loss_contra: 0.0013 (0.0208) time: 2.5569 data: 0.0024 max mem: 31671 Epoch: [5] [1550/5278] eta: 2:37:45 lr: 4.400293858084165e-05 loss: 0.1280 (0.1424) loss_seg: 0.1402 (0.1541) loss_lansim: 0.1067 (0.1143) loss_contra: 0.0012 (0.0208) time: 2.5782 data: 0.0024 max mem: 31671 Epoch: [5] [1560/5278] eta: 2:37:20 lr: 4.400077661070189e-05 loss: 0.1264 (0.1426) loss_seg: 0.1365 (0.1544) loss_lansim: 0.1028 (0.1142) loss_contra: 0.0012 (0.0207) time: 2.5815 data: 0.0024 max mem: 31671 Epoch: [5] [1570/5278] eta: 2:36:55 lr: 4.3998614628758954e-05 loss: 0.1243 (0.1426) loss_seg: 0.1359 (0.1544) loss_lansim: 0.1004 (0.1141) loss_contra: 0.0013 (0.0210) time: 2.5808 data: 0.0024 max mem: 31671 Epoch: [5] [1580/5278] eta: 2:36:30 lr: 4.399645263501213e-05 loss: 0.1226 (0.1425) loss_seg: 0.1304 (0.1543) loss_lansim: 0.0987 (0.1140) loss_contra: 0.0008 (0.0208) time: 2.5781 data: 0.0024 max mem: 31671 Epoch: [5] [1590/5278] eta: 2:36:05 lr: 4.3994290629460716e-05 loss: 0.1231 (0.1428) loss_seg: 0.1304 (0.1547) loss_lansim: 0.0987 (0.1140) loss_contra: 0.0009 (0.0207) time: 2.5756 data: 0.0024 max mem: 31671 Epoch: [5] [1600/5278] eta: 2:35:39 lr: 4.3992128612103994e-05 loss: 0.1180 (0.1426) loss_seg: 0.1292 (0.1545) loss_lansim: 0.0991 (0.1139) loss_contra: 0.0008 (0.0208) time: 2.5667 data: 0.0024 max mem: 31671 Epoch: [5] [1610/5278] eta: 2:35:15 lr: 4.398996658294126e-05 loss: 0.1169 (0.1424) loss_seg: 0.1288 (0.1542) loss_lansim: 0.0991 (0.1139) loss_contra: 0.0008 (0.0208) time: 2.5714 data: 0.0024 max mem: 31671 Epoch: [5] [1620/5278] eta: 2:34:50 lr: 4.39878045419718e-05 loss: 0.1160 (0.1421) loss_seg: 0.1272 (0.1539) loss_lansim: 0.0999 (0.1139) loss_contra: 0.0006 (0.0208) time: 2.5741 data: 0.0024 max mem: 31671 Epoch: [5] [1630/5278] eta: 2:34:25 lr: 4.3985642489194916e-05 loss: 0.1160 (0.1423) loss_seg: 0.1263 (0.1541) loss_lansim: 0.1006 (0.1139) loss_contra: 0.0008 (0.0209) time: 2.5657 data: 0.0024 max mem: 31671 Epoch: [5] [1640/5278] eta: 2:33:59 lr: 4.3983480424609893e-05 loss: 0.1161 (0.1423) loss_seg: 0.1263 (0.1541) loss_lansim: 0.1022 (0.1139) loss_contra: 0.0006 (0.0208) time: 2.5611 data: 0.0024 max mem: 31671 Epoch: [5] [1650/5278] eta: 2:33:34 lr: 4.398131834821602e-05 loss: 0.1189 (0.1423) loss_seg: 0.1288 (0.1541) loss_lansim: 0.1030 (0.1139) loss_contra: 0.0005 (0.0209) time: 2.5531 data: 0.0024 max mem: 31671 Epoch: [5] [1660/5278] eta: 2:33:07 lr: 4.3979156260012586e-05 loss: 0.1189 (0.1422) loss_seg: 0.1274 (0.1540) loss_lansim: 0.1052 (0.1139) loss_contra: 0.0006 (0.0212) time: 2.5441 data: 0.0024 max mem: 31671 Epoch: [5] [1670/5278] eta: 2:32:42 lr: 4.397699415999887e-05 loss: 0.1233 (0.1423) loss_seg: 0.1295 (0.1541) loss_lansim: 0.1070 (0.1139) loss_contra: 0.0006 (0.0212) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [5] [1680/5278] eta: 2:32:17 lr: 4.397483204817419e-05 loss: 0.1216 (0.1420) loss_seg: 0.1274 (0.1538) loss_lansim: 0.1109 (0.1139) loss_contra: 0.0005 (0.0211) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [5] [1690/5278] eta: 2:31:50 lr: 4.397266992453782e-05 loss: 0.1216 (0.1421) loss_seg: 0.1272 (0.1539) loss_lansim: 0.1074 (0.1138) loss_contra: 0.0007 (0.0215) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [5] [1700/5278] eta: 2:31:24 lr: 4.397050778908905e-05 loss: 0.1222 (0.1420) loss_seg: 0.1274 (0.1537) loss_lansim: 0.1088 (0.1138) loss_contra: 0.0011 (0.0214) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [5] [1710/5278] eta: 2:30:59 lr: 4.3968345641827175e-05 loss: 0.1216 (0.1420) loss_seg: 0.1274 (0.1537) loss_lansim: 0.1070 (0.1137) loss_contra: 0.0008 (0.0215) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [5] [1720/5278] eta: 2:30:33 lr: 4.3966183482751486e-05 loss: 0.1242 (0.1419) loss_seg: 0.1295 (0.1536) loss_lansim: 0.1090 (0.1137) loss_contra: 0.0007 (0.0214) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [5] [1730/5278] eta: 2:30:08 lr: 4.396402131186125e-05 loss: 0.1222 (0.1419) loss_seg: 0.1274 (0.1536) loss_lansim: 0.1090 (0.1137) loss_contra: 0.0011 (0.0213) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [5] [1740/5278] eta: 2:29:43 lr: 4.39618591291558e-05 loss: 0.1239 (0.1419) loss_seg: 0.1295 (0.1535) loss_lansim: 0.1069 (0.1136) loss_contra: 0.0012 (0.0213) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [5] [1750/5278] eta: 2:29:18 lr: 4.395969693463439e-05 loss: 0.1222 (0.1418) loss_seg: 0.1274 (0.1535) loss_lansim: 0.1057 (0.1135) loss_contra: 0.0012 (0.0214) time: 2.5319 data: 0.0024 max mem: 31671 Epoch: [5] [1760/5278] eta: 2:28:53 lr: 4.3957534728296316e-05 loss: 0.1148 (0.1416) loss_seg: 0.1266 (0.1533) loss_lansim: 0.1043 (0.1134) loss_contra: 0.0011 (0.0214) time: 2.5367 data: 0.0024 max mem: 31671 Epoch: [5] [1770/5278] eta: 2:28:28 lr: 4.395537251014087e-05 loss: 0.1143 (0.1416) loss_seg: 0.1243 (0.1532) loss_lansim: 0.1014 (0.1133) loss_contra: 0.0014 (0.0217) time: 2.5411 data: 0.0024 max mem: 31671 Epoch: [5] [1780/5278] eta: 2:28:02 lr: 4.3953210280167354e-05 loss: 0.1162 (0.1416) loss_seg: 0.1254 (0.1533) loss_lansim: 0.0997 (0.1133) loss_contra: 0.0014 (0.0216) time: 2.5323 data: 0.0024 max mem: 31671 Epoch: [5] [1790/5278] eta: 2:27:39 lr: 4.3951048038375056e-05 loss: 0.1145 (0.1415) loss_seg: 0.1243 (0.1532) loss_lansim: 0.0992 (0.1132) loss_contra: 0.0009 (0.0217) time: 2.5533 data: 0.0024 max mem: 31671 Epoch: [5] [1800/5278] eta: 2:27:15 lr: 4.394888578476324e-05 loss: 0.1173 (0.1415) loss_seg: 0.1290 (0.1532) loss_lansim: 0.0987 (0.1131) loss_contra: 0.0009 (0.0217) time: 2.5628 data: 0.0024 max mem: 31671 Epoch: [5] [1810/5278] eta: 2:26:49 lr: 4.3946723519331214e-05 loss: 0.1183 (0.1413) loss_seg: 0.1304 (0.1530) loss_lansim: 0.0986 (0.1130) loss_contra: 0.0013 (0.0217) time: 2.5629 data: 0.0024 max mem: 31671 Epoch: [5] [1820/5278] eta: 2:26:24 lr: 4.3944561242078275e-05 loss: 0.1248 (0.1413) loss_seg: 0.1335 (0.1530) loss_lansim: 0.0981 (0.1129) loss_contra: 0.0013 (0.0217) time: 2.5626 data: 0.0024 max mem: 31671 Epoch: [5] [1830/5278] eta: 2:25:59 lr: 4.39423989530037e-05 loss: 0.1210 (0.1413) loss_seg: 0.1331 (0.1530) loss_lansim: 0.0981 (0.1129) loss_contra: 0.0009 (0.0216) time: 2.5627 data: 0.0024 max mem: 31671 Epoch: [5] [1840/5278] eta: 2:25:32 lr: 4.3940236652106775e-05 loss: 0.1250 (0.1414) loss_seg: 0.1335 (0.1531) loss_lansim: 0.0981 (0.1129) loss_contra: 0.0007 (0.0215) time: 2.5546 data: 0.0024 max mem: 31671 Epoch: [5] [1850/5278] eta: 2:25:06 lr: 4.393807433938679e-05 loss: 0.1218 (0.1414) loss_seg: 0.1335 (0.1531) loss_lansim: 0.0978 (0.1128) loss_contra: 0.0009 (0.0214) time: 2.5485 data: 0.0024 max mem: 31671 Epoch: [5] [1860/5278] eta: 2:24:40 lr: 4.393591201484305e-05 loss: 0.1218 (0.1413) loss_seg: 0.1335 (0.1530) loss_lansim: 0.0967 (0.1126) loss_contra: 0.0009 (0.0213) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [5] [1870/5278] eta: 2:24:15 lr: 4.393374967847483e-05 loss: 0.1219 (0.1413) loss_seg: 0.1346 (0.1530) loss_lansim: 0.0973 (0.1126) loss_contra: 0.0007 (0.0212) time: 2.5471 data: 0.0025 max mem: 31671 Epoch: [5] [1880/5278] eta: 2:23:51 lr: 4.393158733028142e-05 loss: 0.1238 (0.1412) loss_seg: 0.1346 (0.1529) loss_lansim: 0.0973 (0.1125) loss_contra: 0.0009 (0.0212) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [5] [1890/5278] eta: 2:23:24 lr: 4.39294249702621e-05 loss: 0.1250 (0.1412) loss_seg: 0.1356 (0.1528) loss_lansim: 0.0981 (0.1124) loss_contra: 0.0009 (0.0212) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [5] [1900/5278] eta: 2:22:59 lr: 4.392726259841618e-05 loss: 0.1244 (0.1411) loss_seg: 0.1335 (0.1528) loss_lansim: 0.0981 (0.1124) loss_contra: 0.0007 (0.0211) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [5] [1910/5278] eta: 2:22:35 lr: 4.392510021474293e-05 loss: 0.1230 (0.1409) loss_seg: 0.1331 (0.1525) loss_lansim: 0.0973 (0.1123) loss_contra: 0.0007 (0.0211) time: 2.5371 data: 0.0025 max mem: 31671 Epoch: [5] [1920/5278] eta: 2:22:10 lr: 4.392293781924165e-05 loss: 0.1218 (0.1408) loss_seg: 0.1303 (0.1524) loss_lansim: 0.0973 (0.1122) loss_contra: 0.0007 (0.0211) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [5] [1930/5278] eta: 2:21:44 lr: 4.392077541191162e-05 loss: 0.1230 (0.1408) loss_seg: 0.1318 (0.1524) loss_lansim: 0.0973 (0.1122) loss_contra: 0.0007 (0.0210) time: 2.5336 data: 0.0026 max mem: 31671 Epoch: [5] [1940/5278] eta: 2:21:20 lr: 4.391861299275213e-05 loss: 0.1187 (0.1407) loss_seg: 0.1270 (0.1523) loss_lansim: 0.0969 (0.1121) loss_contra: 0.0009 (0.0211) time: 2.5524 data: 0.0026 max mem: 31671 Epoch: [5] [1950/5278] eta: 2:20:56 lr: 4.3916450561762464e-05 loss: 0.1219 (0.1407) loss_seg: 0.1291 (0.1523) loss_lansim: 0.0973 (0.1121) loss_contra: 0.0007 (0.0211) time: 2.5613 data: 0.0026 max mem: 31671 Epoch: [5] [1960/5278] eta: 2:20:30 lr: 4.3914288118941926e-05 loss: 0.1248 (0.1408) loss_seg: 0.1355 (0.1524) loss_lansim: 0.1006 (0.1121) loss_contra: 0.0006 (0.0210) time: 2.5649 data: 0.0026 max mem: 31671 Epoch: [5] [1970/5278] eta: 2:20:05 lr: 4.391212566428979e-05 loss: 0.1238 (0.1406) loss_seg: 0.1318 (0.1522) loss_lansim: 0.1014 (0.1121) loss_contra: 0.0006 (0.0210) time: 2.5606 data: 0.0026 max mem: 31671 Epoch: [5] [1980/5278] eta: 2:19:40 lr: 4.3909963197805344e-05 loss: 0.1219 (0.1404) loss_seg: 0.1270 (0.1521) loss_lansim: 0.1005 (0.1120) loss_contra: 0.0005 (0.0209) time: 2.5607 data: 0.0026 max mem: 31671 Epoch: [5] [1990/5278] eta: 2:19:15 lr: 4.390780071948787e-05 loss: 0.1187 (0.1403) loss_seg: 0.1268 (0.1519) loss_lansim: 0.0994 (0.1119) loss_contra: 0.0006 (0.0210) time: 2.5676 data: 0.0025 max mem: 31671 Epoch: [5] [2000/5278] eta: 2:18:50 lr: 4.390563822933669e-05 loss: 0.1148 (0.1402) loss_seg: 0.1238 (0.1518) loss_lansim: 0.0994 (0.1118) loss_contra: 0.0007 (0.0210) time: 2.5724 data: 0.0025 max mem: 31671 Epoch: [5] [2010/5278] eta: 2:18:24 lr: 4.390347572735104e-05 loss: 0.1160 (0.1400) loss_seg: 0.1268 (0.1516) loss_lansim: 0.0996 (0.1118) loss_contra: 0.0006 (0.0214) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [5] [2020/5278] eta: 2:17:59 lr: 4.390131321353025e-05 loss: 0.1160 (0.1401) loss_seg: 0.1268 (0.1517) loss_lansim: 0.0996 (0.1117) loss_contra: 0.0004 (0.0213) time: 2.5619 data: 0.0025 max mem: 31671 Epoch: [5] [2030/5278] eta: 2:17:34 lr: 4.389915068787359e-05 loss: 0.1105 (0.1399) loss_seg: 0.1228 (0.1515) loss_lansim: 0.0996 (0.1117) loss_contra: 0.0004 (0.0214) time: 2.5690 data: 0.0025 max mem: 31671 Epoch: [5] [2040/5278] eta: 2:17:09 lr: 4.389698815038034e-05 loss: 0.1105 (0.1398) loss_seg: 0.1228 (0.1514) loss_lansim: 0.0996 (0.1116) loss_contra: 0.0004 (0.0214) time: 2.5606 data: 0.0025 max mem: 31671 Epoch: [5] [2050/5278] eta: 2:16:44 lr: 4.38948256010498e-05 loss: 0.1102 (0.1399) loss_seg: 0.1226 (0.1515) loss_lansim: 0.0991 (0.1116) loss_contra: 0.0004 (0.0214) time: 2.5555 data: 0.0025 max mem: 31671 Epoch: [5] [2060/5278] eta: 2:16:19 lr: 4.389266303988125e-05 loss: 0.1102 (0.1400) loss_seg: 0.1226 (0.1516) loss_lansim: 0.0996 (0.1116) loss_contra: 0.0005 (0.0214) time: 2.5606 data: 0.0024 max mem: 31671 Epoch: [5] [2070/5278] eta: 2:15:54 lr: 4.389050046687399e-05 loss: 0.1155 (0.1400) loss_seg: 0.1281 (0.1516) loss_lansim: 0.0976 (0.1115) loss_contra: 0.0003 (0.0213) time: 2.5591 data: 0.0024 max mem: 31671 Epoch: [5] [2080/5278] eta: 2:15:29 lr: 4.38883378820273e-05 loss: 0.1156 (0.1399) loss_seg: 0.1285 (0.1515) loss_lansim: 0.0985 (0.1115) loss_contra: 0.0004 (0.0213) time: 2.5608 data: 0.0025 max mem: 31671 Epoch: [5] [2090/5278] eta: 2:15:03 lr: 4.388617528534045e-05 loss: 0.1215 (0.1399) loss_seg: 0.1346 (0.1515) loss_lansim: 0.0999 (0.1114) loss_contra: 0.0003 (0.0212) time: 2.5548 data: 0.0025 max mem: 31671 Epoch: [5] [2100/5278] eta: 2:14:36 lr: 4.388401267681275e-05 loss: 0.1235 (0.1398) loss_seg: 0.1352 (0.1514) loss_lansim: 0.0998 (0.1114) loss_contra: 0.0003 (0.0211) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [5] [2110/5278] eta: 2:14:12 lr: 4.388185005644347e-05 loss: 0.1247 (0.1399) loss_seg: 0.1372 (0.1515) loss_lansim: 0.0999 (0.1113) loss_contra: 0.0004 (0.0210) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [5] [2120/5278] eta: 2:13:47 lr: 4.387968742423191e-05 loss: 0.1250 (0.1399) loss_seg: 0.1372 (0.1515) loss_lansim: 0.1022 (0.1113) loss_contra: 0.0003 (0.0210) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [5] [2130/5278] eta: 2:13:22 lr: 4.3877524780177355e-05 loss: 0.1287 (0.1399) loss_seg: 0.1387 (0.1515) loss_lansim: 0.1018 (0.1113) loss_contra: 0.0003 (0.0209) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [5] [2140/5278] eta: 2:12:58 lr: 4.3875362124279086e-05 loss: 0.1329 (0.1399) loss_seg: 0.1402 (0.1515) loss_lansim: 0.1029 (0.1113) loss_contra: 0.0004 (0.0209) time: 2.5615 data: 0.0025 max mem: 31671 Epoch: [5] [2150/5278] eta: 2:12:31 lr: 4.387319945653638e-05 loss: 0.1268 (0.1399) loss_seg: 0.1380 (0.1515) loss_lansim: 0.1029 (0.1112) loss_contra: 0.0004 (0.0209) time: 2.5537 data: 0.0025 max mem: 31671 Epoch: [5] [2160/5278] eta: 2:12:06 lr: 4.387103677694855e-05 loss: 0.1261 (0.1399) loss_seg: 0.1380 (0.1515) loss_lansim: 0.1032 (0.1112) loss_contra: 0.0005 (0.0210) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [5] [2170/5278] eta: 2:11:39 lr: 4.3868874085514866e-05 loss: 0.1272 (0.1399) loss_seg: 0.1380 (0.1514) loss_lansim: 0.1048 (0.1112) loss_contra: 0.0006 (0.0209) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [5] [2180/5278] eta: 2:11:13 lr: 4.386671138223461e-05 loss: 0.1268 (0.1399) loss_seg: 0.1367 (0.1514) loss_lansim: 0.1052 (0.1112) loss_contra: 0.0006 (0.0209) time: 2.5291 data: 0.0025 max mem: 31671 Epoch: [5] [2190/5278] eta: 2:10:48 lr: 4.3864548667107074e-05 loss: 0.1289 (0.1401) loss_seg: 0.1388 (0.1516) loss_lansim: 0.1048 (0.1112) loss_contra: 0.0006 (0.0208) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [5] [2200/5278] eta: 2:10:23 lr: 4.386238594013154e-05 loss: 0.1268 (0.1401) loss_seg: 0.1405 (0.1517) loss_lansim: 0.1057 (0.1111) loss_contra: 0.0006 (0.0208) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [5] [2210/5278] eta: 2:09:57 lr: 4.386022320130731e-05 loss: 0.1268 (0.1401) loss_seg: 0.1405 (0.1516) loss_lansim: 0.1063 (0.1111) loss_contra: 0.0004 (0.0209) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [5] [2220/5278] eta: 2:09:33 lr: 4.385806045063365e-05 loss: 0.1264 (0.1400) loss_seg: 0.1388 (0.1516) loss_lansim: 0.1053 (0.1110) loss_contra: 0.0005 (0.0208) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [5] [2230/5278] eta: 2:09:08 lr: 4.385589768810985e-05 loss: 0.1265 (0.1401) loss_seg: 0.1388 (0.1516) loss_lansim: 0.1048 (0.1110) loss_contra: 0.0003 (0.0207) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [5] [2240/5278] eta: 2:08:42 lr: 4.38537349137352e-05 loss: 0.1265 (0.1402) loss_seg: 0.1367 (0.1517) loss_lansim: 0.1043 (0.1110) loss_contra: 0.0003 (0.0206) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [5] [2250/5278] eta: 2:08:17 lr: 4.385157212750899e-05 loss: 0.1289 (0.1403) loss_seg: 0.1405 (0.1519) loss_lansim: 0.1043 (0.1110) loss_contra: 0.0003 (0.0206) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [5] [2260/5278] eta: 2:07:51 lr: 4.384940932943049e-05 loss: 0.1280 (0.1403) loss_seg: 0.1405 (0.1519) loss_lansim: 0.1027 (0.1109) loss_contra: 0.0003 (0.0205) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [5] [2270/5278] eta: 2:07:25 lr: 4.3847246519499e-05 loss: 0.1273 (0.1402) loss_seg: 0.1405 (0.1518) loss_lansim: 0.1019 (0.1109) loss_contra: 0.0004 (0.0205) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [5] [2280/5278] eta: 2:07:00 lr: 4.384508369771381e-05 loss: 0.1273 (0.1400) loss_seg: 0.1405 (0.1516) loss_lansim: 0.1017 (0.1108) loss_contra: 0.0004 (0.0206) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [5] [2290/5278] eta: 2:06:34 lr: 4.384292086407419e-05 loss: 0.1264 (0.1400) loss_seg: 0.1401 (0.1516) loss_lansim: 0.1018 (0.1108) loss_contra: 0.0004 (0.0205) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [5] [2300/5278] eta: 2:06:08 lr: 4.384075801857943e-05 loss: 0.1273 (0.1401) loss_seg: 0.1401 (0.1516) loss_lansim: 0.1017 (0.1107) loss_contra: 0.0004 (0.0204) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [5] [2310/5278] eta: 2:05:42 lr: 4.3838595161228815e-05 loss: 0.1280 (0.1401) loss_seg: 0.1405 (0.1517) loss_lansim: 0.0997 (0.1107) loss_contra: 0.0004 (0.0204) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [5] [2320/5278] eta: 2:05:17 lr: 4.383643229202164e-05 loss: 0.1305 (0.1402) loss_seg: 0.1424 (0.1518) loss_lansim: 0.1017 (0.1107) loss_contra: 0.0004 (0.0203) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [5] [2330/5278] eta: 2:04:52 lr: 4.3834269410957174e-05 loss: 0.1298 (0.1401) loss_seg: 0.1405 (0.1517) loss_lansim: 0.1017 (0.1106) loss_contra: 0.0007 (0.0203) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [5] [2340/5278] eta: 2:04:26 lr: 4.383210651803472e-05 loss: 0.1298 (0.1402) loss_seg: 0.1417 (0.1517) loss_lansim: 0.0998 (0.1106) loss_contra: 0.0007 (0.0204) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [5] [2350/5278] eta: 2:04:02 lr: 4.3829943613253544e-05 loss: 0.1189 (0.1401) loss_seg: 0.1312 (0.1517) loss_lansim: 0.0994 (0.1105) loss_contra: 0.0005 (0.0204) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [5] [2360/5278] eta: 2:03:36 lr: 4.382778069661294e-05 loss: 0.1201 (0.1400) loss_seg: 0.1312 (0.1516) loss_lansim: 0.0988 (0.1105) loss_contra: 0.0004 (0.0203) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [5] [2370/5278] eta: 2:03:11 lr: 4.38256177681122e-05 loss: 0.1201 (0.1399) loss_seg: 0.1312 (0.1515) loss_lansim: 0.0983 (0.1104) loss_contra: 0.0005 (0.0203) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [5] [2380/5278] eta: 2:02:45 lr: 4.3823454827750594e-05 loss: 0.1228 (0.1399) loss_seg: 0.1363 (0.1515) loss_lansim: 0.0983 (0.1104) loss_contra: 0.0004 (0.0203) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [5] [2390/5278] eta: 2:02:21 lr: 4.382129187552741e-05 loss: 0.1228 (0.1399) loss_seg: 0.1363 (0.1514) loss_lansim: 0.0978 (0.1103) loss_contra: 0.0005 (0.0203) time: 2.5474 data: 0.0025 max mem: 31671 Epoch: [5] [2400/5278] eta: 2:01:56 lr: 4.3819128911441934e-05 loss: 0.1187 (0.1398) loss_seg: 0.1312 (0.1514) loss_lansim: 0.0978 (0.1102) loss_contra: 0.0006 (0.0205) time: 2.5582 data: 0.0025 max mem: 31671 Epoch: [5] [2410/5278] eta: 2:01:30 lr: 4.381696593549346e-05 loss: 0.1135 (0.1396) loss_seg: 0.1243 (0.1512) loss_lansim: 0.0980 (0.1102) loss_contra: 0.0007 (0.0205) time: 2.5586 data: 0.0025 max mem: 31671 Epoch: [5] [2420/5278] eta: 2:01:05 lr: 4.381480294768127e-05 loss: 0.1180 (0.1397) loss_seg: 0.1268 (0.1513) loss_lansim: 0.0977 (0.1101) loss_contra: 0.0006 (0.0205) time: 2.5595 data: 0.0025 max mem: 31671 Epoch: [5] [2430/5278] eta: 2:00:40 lr: 4.381263994800463e-05 loss: 0.1228 (0.1399) loss_seg: 0.1314 (0.1514) loss_lansim: 0.0978 (0.1101) loss_contra: 0.0006 (0.0204) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [5] [2440/5278] eta: 2:00:15 lr: 4.381047693646284e-05 loss: 0.1227 (0.1400) loss_seg: 0.1314 (0.1515) loss_lansim: 0.0978 (0.1100) loss_contra: 0.0006 (0.0204) time: 2.5627 data: 0.0025 max mem: 31671 Epoch: [5] [2450/5278] eta: 1:59:50 lr: 4.380831391305519e-05 loss: 0.1269 (0.1400) loss_seg: 0.1376 (0.1516) loss_lansim: 0.0969 (0.1100) loss_contra: 0.0008 (0.0206) time: 2.5636 data: 0.0026 max mem: 31671 Epoch: [5] [2460/5278] eta: 1:59:24 lr: 4.380615087778094e-05 loss: 0.1308 (0.1402) loss_seg: 0.1398 (0.1518) loss_lansim: 0.0970 (0.1099) loss_contra: 0.0013 (0.0206) time: 2.5638 data: 0.0026 max mem: 31671 Epoch: [5] [2470/5278] eta: 1:58:59 lr: 4.380398783063939e-05 loss: 0.1308 (0.1401) loss_seg: 0.1394 (0.1516) loss_lansim: 0.0970 (0.1099) loss_contra: 0.0009 (0.0205) time: 2.5663 data: 0.0026 max mem: 31671 Epoch: [5] [2480/5278] eta: 1:58:35 lr: 4.380182477162983e-05 loss: 0.1377 (0.1402) loss_seg: 0.1418 (0.1518) loss_lansim: 0.0976 (0.1098) loss_contra: 0.0008 (0.0205) time: 2.5759 data: 0.0025 max mem: 31671 Epoch: [5] [2490/5278] eta: 1:58:08 lr: 4.379966170075153e-05 loss: 0.1377 (0.1401) loss_seg: 0.1418 (0.1517) loss_lansim: 0.0982 (0.1098) loss_contra: 0.0008 (0.0206) time: 2.5589 data: 0.0025 max mem: 31671 Epoch: [5] [2500/5278] eta: 1:57:42 lr: 4.3797498618003786e-05 loss: 0.1389 (0.1402) loss_seg: 0.1437 (0.1517) loss_lansim: 0.0993 (0.1098) loss_contra: 0.0008 (0.0206) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [5] [2510/5278] eta: 1:57:17 lr: 4.3795335523385866e-05 loss: 0.1389 (0.1402) loss_seg: 0.1456 (0.1517) loss_lansim: 0.0984 (0.1097) loss_contra: 0.0006 (0.0205) time: 2.5494 data: 0.0024 max mem: 31671 Epoch: [5] [2520/5278] eta: 1:56:52 lr: 4.379317241689706e-05 loss: 0.1338 (0.1401) loss_seg: 0.1418 (0.1517) loss_lansim: 0.0984 (0.1097) loss_contra: 0.0008 (0.0209) time: 2.5526 data: 0.0024 max mem: 31671 Epoch: [5] [2530/5278] eta: 1:56:26 lr: 4.3791009298536673e-05 loss: 0.1304 (0.1400) loss_seg: 0.1347 (0.1516) loss_lansim: 0.0978 (0.1096) loss_contra: 0.0008 (0.0209) time: 2.5449 data: 0.0024 max mem: 31671 Epoch: [5] [2540/5278] eta: 1:56:01 lr: 4.378884616830395e-05 loss: 0.1282 (0.1400) loss_seg: 0.1303 (0.1515) loss_lansim: 0.0970 (0.1095) loss_contra: 0.0008 (0.0210) time: 2.5519 data: 0.0024 max mem: 31671 Epoch: [5] [2550/5278] eta: 1:55:36 lr: 4.37866830261982e-05 loss: 0.1219 (0.1398) loss_seg: 0.1279 (0.1514) loss_lansim: 0.0965 (0.1095) loss_contra: 0.0008 (0.0210) time: 2.5476 data: 0.0024 max mem: 31671 Epoch: [5] [2560/5278] eta: 1:55:11 lr: 4.37845198722187e-05 loss: 0.1172 (0.1399) loss_seg: 0.1254 (0.1514) loss_lansim: 0.0976 (0.1095) loss_contra: 0.0007 (0.0211) time: 2.5488 data: 0.0024 max mem: 31671 Epoch: [5] [2570/5278] eta: 1:54:45 lr: 4.378235670636473e-05 loss: 0.1172 (0.1399) loss_seg: 0.1227 (0.1514) loss_lansim: 0.0981 (0.1094) loss_contra: 0.0009 (0.0211) time: 2.5426 data: 0.0024 max mem: 31671 Epoch: [5] [2580/5278] eta: 1:54:19 lr: 4.378019352863558e-05 loss: 0.1162 (0.1399) loss_seg: 0.1202 (0.1515) loss_lansim: 0.0982 (0.1094) loss_contra: 0.0013 (0.0211) time: 2.5322 data: 0.0024 max mem: 31671 Epoch: [5] [2590/5278] eta: 1:53:54 lr: 4.377803033903052e-05 loss: 0.1172 (0.1399) loss_seg: 0.1211 (0.1514) loss_lansim: 0.0981 (0.1094) loss_contra: 0.0010 (0.0210) time: 2.5427 data: 0.0024 max mem: 31671 Epoch: [5] [2600/5278] eta: 1:53:29 lr: 4.3775867137548845e-05 loss: 0.1154 (0.1399) loss_seg: 0.1211 (0.1514) loss_lansim: 0.0976 (0.1094) loss_contra: 0.0010 (0.0212) time: 2.5565 data: 0.0025 max mem: 31671 Epoch: [5] [2610/5278] eta: 1:53:04 lr: 4.3773703924189835e-05 loss: 0.1154 (0.1399) loss_seg: 0.1211 (0.1513) loss_lansim: 0.0969 (0.1093) loss_contra: 0.0014 (0.0213) time: 2.5586 data: 0.0025 max mem: 31671 Epoch: [5] [2620/5278] eta: 1:52:39 lr: 4.3771540698952766e-05 loss: 0.1172 (0.1399) loss_seg: 0.1259 (0.1514) loss_lansim: 0.0981 (0.1093) loss_contra: 0.0014 (0.0213) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [5] [2630/5278] eta: 1:52:13 lr: 4.3769377461836934e-05 loss: 0.1240 (0.1400) loss_seg: 0.1303 (0.1515) loss_lansim: 0.0989 (0.1093) loss_contra: 0.0016 (0.0212) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [5] [2640/5278] eta: 1:51:47 lr: 4.376721421284161e-05 loss: 0.1240 (0.1401) loss_seg: 0.1356 (0.1516) loss_lansim: 0.0989 (0.1092) loss_contra: 0.0015 (0.0212) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [5] [2650/5278] eta: 1:51:21 lr: 4.3765050951966074e-05 loss: 0.1256 (0.1401) loss_seg: 0.1385 (0.1516) loss_lansim: 0.0976 (0.1091) loss_contra: 0.0015 (0.0211) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [5] [2660/5278] eta: 1:50:56 lr: 4.376288767920962e-05 loss: 0.1254 (0.1400) loss_seg: 0.1385 (0.1515) loss_lansim: 0.0955 (0.1090) loss_contra: 0.0015 (0.0211) time: 2.5401 data: 0.0026 max mem: 31671 Epoch: [5] [2670/5278] eta: 1:50:31 lr: 4.3760724394571516e-05 loss: 0.1256 (0.1400) loss_seg: 0.1395 (0.1515) loss_lansim: 0.0940 (0.1090) loss_contra: 0.0010 (0.0210) time: 2.5485 data: 0.0025 max mem: 31671 Epoch: [5] [2680/5278] eta: 1:50:06 lr: 4.375856109805106e-05 loss: 0.1256 (0.1400) loss_seg: 0.1395 (0.1516) loss_lansim: 0.0933 (0.1089) loss_contra: 0.0009 (0.0209) time: 2.5571 data: 0.0026 max mem: 31671 Epoch: [5] [2690/5278] eta: 1:49:40 lr: 4.375639778964752e-05 loss: 0.1254 (0.1399) loss_seg: 0.1381 (0.1514) loss_lansim: 0.0923 (0.1088) loss_contra: 0.0009 (0.0210) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [5] [2700/5278] eta: 1:49:14 lr: 4.375423446936019e-05 loss: 0.1272 (0.1399) loss_seg: 0.1398 (0.1514) loss_lansim: 0.0916 (0.1088) loss_contra: 0.0014 (0.0209) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [5] [2710/5278] eta: 1:48:48 lr: 4.375207113718834e-05 loss: 0.1272 (0.1400) loss_seg: 0.1398 (0.1515) loss_lansim: 0.0910 (0.1087) loss_contra: 0.0015 (0.0211) time: 2.5223 data: 0.0026 max mem: 31671 Epoch: [5] [2720/5278] eta: 1:48:21 lr: 4.374990779313126e-05 loss: 0.1274 (0.1400) loss_seg: 0.1415 (0.1515) loss_lansim: 0.0909 (0.1087) loss_contra: 0.0010 (0.0210) time: 2.5102 data: 0.0026 max mem: 31671 Epoch: [5] [2730/5278] eta: 1:47:56 lr: 4.374774443718823e-05 loss: 0.1272 (0.1401) loss_seg: 0.1415 (0.1516) loss_lansim: 0.0920 (0.1087) loss_contra: 0.0007 (0.0210) time: 2.5132 data: 0.0026 max mem: 31671 Epoch: [5] [2740/5278] eta: 1:47:30 lr: 4.374558106935854e-05 loss: 0.1256 (0.1400) loss_seg: 0.1398 (0.1515) loss_lansim: 0.0923 (0.1087) loss_contra: 0.0006 (0.0210) time: 2.5144 data: 0.0025 max mem: 31671 Epoch: [5] [2750/5278] eta: 1:47:05 lr: 4.3743417689641444e-05 loss: 0.1254 (0.1399) loss_seg: 0.1395 (0.1514) loss_lansim: 0.0941 (0.1087) loss_contra: 0.0004 (0.0209) time: 2.5133 data: 0.0025 max mem: 31671 Epoch: [5] [2760/5278] eta: 1:46:39 lr: 4.3741254298036256e-05 loss: 0.1260 (0.1400) loss_seg: 0.1400 (0.1515) loss_lansim: 0.0978 (0.1087) loss_contra: 0.0004 (0.0209) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [5] [2770/5278] eta: 1:46:13 lr: 4.3739090894542235e-05 loss: 0.1245 (0.1399) loss_seg: 0.1372 (0.1514) loss_lansim: 0.0981 (0.1087) loss_contra: 0.0004 (0.0208) time: 2.4992 data: 0.0025 max mem: 31671 Epoch: [5] [2780/5278] eta: 1:45:47 lr: 4.3736927479158676e-05 loss: 0.1274 (0.1401) loss_seg: 0.1419 (0.1516) loss_lansim: 0.0990 (0.1087) loss_contra: 0.0006 (0.0208) time: 2.4858 data: 0.0025 max mem: 31671 Epoch: [5] [2790/5278] eta: 1:45:22 lr: 4.373476405188485e-05 loss: 0.1375 (0.1401) loss_seg: 0.1479 (0.1517) loss_lansim: 0.1020 (0.1086) loss_contra: 0.0005 (0.0207) time: 2.4940 data: 0.0024 max mem: 31671 Epoch: [5] [2800/5278] eta: 1:44:55 lr: 4.373260061272005e-05 loss: 0.1295 (0.1401) loss_seg: 0.1430 (0.1516) loss_lansim: 0.1037 (0.1086) loss_contra: 0.0004 (0.0207) time: 2.4900 data: 0.0024 max mem: 31671 Epoch: [5] [2810/5278] eta: 1:44:30 lr: 4.373043716166354e-05 loss: 0.1295 (0.1401) loss_seg: 0.1430 (0.1516) loss_lansim: 0.1037 (0.1086) loss_contra: 0.0003 (0.0207) time: 2.5038 data: 0.0024 max mem: 31671 Epoch: [5] [2820/5278] eta: 1:44:04 lr: 4.372827369871462e-05 loss: 0.1305 (0.1403) loss_seg: 0.1430 (0.1518) loss_lansim: 0.1047 (0.1087) loss_contra: 0.0003 (0.0206) time: 2.5079 data: 0.0024 max mem: 31671 Epoch: [5] [2830/5278] eta: 1:43:39 lr: 4.372611022387255e-05 loss: 0.1375 (0.1404) loss_seg: 0.1430 (0.1519) loss_lansim: 0.1042 (0.1086) loss_contra: 0.0003 (0.0206) time: 2.5060 data: 0.0024 max mem: 31671 Epoch: [5] [2840/5278] eta: 1:43:12 lr: 4.372394673713664e-05 loss: 0.1418 (0.1404) loss_seg: 0.1445 (0.1519) loss_lansim: 0.1037 (0.1086) loss_contra: 0.0003 (0.0205) time: 2.4959 data: 0.0024 max mem: 31671 Epoch: [5] [2850/5278] eta: 1:42:46 lr: 4.372178323850614e-05 loss: 0.1392 (0.1403) loss_seg: 0.1445 (0.1518) loss_lansim: 0.1042 (0.1086) loss_contra: 0.0004 (0.0205) time: 2.4860 data: 0.0024 max mem: 31671 Epoch: [5] [2860/5278] eta: 1:42:20 lr: 4.371961972798035e-05 loss: 0.1392 (0.1403) loss_seg: 0.1430 (0.1518) loss_lansim: 0.1037 (0.1086) loss_contra: 0.0004 (0.0206) time: 2.4857 data: 0.0025 max mem: 31671 Epoch: [5] [2870/5278] eta: 1:41:55 lr: 4.371745620555854e-05 loss: 0.1392 (0.1402) loss_seg: 0.1430 (0.1517) loss_lansim: 0.1037 (0.1086) loss_contra: 0.0004 (0.0206) time: 2.4998 data: 0.0024 max mem: 31671 Epoch: [5] [2880/5278] eta: 1:41:30 lr: 4.3715292671239997e-05 loss: 0.1239 (0.1402) loss_seg: 0.1364 (0.1517) loss_lansim: 0.1029 (0.1085) loss_contra: 0.0004 (0.0205) time: 2.5028 data: 0.0025 max mem: 31671 Epoch: [5] [2890/5278] eta: 1:41:04 lr: 4.3713129125024e-05 loss: 0.1255 (0.1403) loss_seg: 0.1386 (0.1518) loss_lansim: 0.1022 (0.1085) loss_contra: 0.0005 (0.0205) time: 2.5010 data: 0.0025 max mem: 31671 Epoch: [5] [2900/5278] eta: 1:40:38 lr: 4.371096556690982e-05 loss: 0.1305 (0.1402) loss_seg: 0.1407 (0.1517) loss_lansim: 0.1032 (0.1086) loss_contra: 0.0006 (0.0205) time: 2.4973 data: 0.0025 max mem: 31671 Epoch: [5] [2910/5278] eta: 1:40:12 lr: 4.370880199689675e-05 loss: 0.1265 (0.1402) loss_seg: 0.1383 (0.1517) loss_lansim: 0.1020 (0.1085) loss_contra: 0.0007 (0.0206) time: 2.4921 data: 0.0025 max mem: 31671 Epoch: [5] [2920/5278] eta: 1:39:47 lr: 4.370663841498408e-05 loss: 0.1242 (0.1402) loss_seg: 0.1364 (0.1517) loss_lansim: 0.1022 (0.1085) loss_contra: 0.0008 (0.0205) time: 2.4994 data: 0.0025 max mem: 31671 Epoch: [5] [2930/5278] eta: 1:39:21 lr: 4.3704474821171056e-05 loss: 0.1183 (0.1401) loss_seg: 0.1272 (0.1516) loss_lansim: 0.1020 (0.1084) loss_contra: 0.0008 (0.0205) time: 2.4959 data: 0.0026 max mem: 31671 Epoch: [5] [2940/5278] eta: 1:38:55 lr: 4.3702311215456986e-05 loss: 0.1153 (0.1401) loss_seg: 0.1251 (0.1515) loss_lansim: 0.1018 (0.1084) loss_contra: 0.0009 (0.0204) time: 2.5077 data: 0.0025 max mem: 31671 Epoch: [5] [2950/5278] eta: 1:38:30 lr: 4.370014759784115e-05 loss: 0.1146 (0.1400) loss_seg: 0.1251 (0.1515) loss_lansim: 0.1015 (0.1084) loss_contra: 0.0009 (0.0205) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [5] [2960/5278] eta: 1:38:04 lr: 4.369798396832281e-05 loss: 0.1195 (0.1401) loss_seg: 0.1272 (0.1515) loss_lansim: 0.1018 (0.1084) loss_contra: 0.0011 (0.0205) time: 2.5148 data: 0.0025 max mem: 31671 Epoch: [5] [2970/5278] eta: 1:37:39 lr: 4.369582032690125e-05 loss: 0.1147 (0.1400) loss_seg: 0.1240 (0.1514) loss_lansim: 0.1022 (0.1084) loss_contra: 0.0009 (0.0206) time: 2.5062 data: 0.0025 max mem: 31671 Epoch: [5] [2980/5278] eta: 1:37:13 lr: 4.369365667357576e-05 loss: 0.1242 (0.1401) loss_seg: 0.1265 (0.1515) loss_lansim: 0.1025 (0.1084) loss_contra: 0.0009 (0.0207) time: 2.5010 data: 0.0025 max mem: 31671 Epoch: [5] [2990/5278] eta: 1:36:48 lr: 4.369149300834561e-05 loss: 0.1216 (0.1401) loss_seg: 0.1255 (0.1516) loss_lansim: 0.1032 (0.1084) loss_contra: 0.0009 (0.0206) time: 2.5057 data: 0.0025 max mem: 31671 Epoch: [5] [3000/5278] eta: 1:36:22 lr: 4.36893293312101e-05 loss: 0.1242 (0.1402) loss_seg: 0.1272 (0.1516) loss_lansim: 0.1041 (0.1085) loss_contra: 0.0008 (0.0206) time: 2.5139 data: 0.0025 max mem: 31671 Epoch: [5] [3010/5278] eta: 1:35:55 lr: 4.3687165642168476e-05 loss: 0.1262 (0.1402) loss_seg: 0.1302 (0.1516) loss_lansim: 0.1053 (0.1085) loss_contra: 0.0008 (0.0205) time: 2.5005 data: 0.0025 max mem: 31671 Epoch: [5] [3020/5278] eta: 1:35:30 lr: 4.368500194122004e-05 loss: 0.1264 (0.1402) loss_seg: 0.1308 (0.1517) loss_lansim: 0.1075 (0.1085) loss_contra: 0.0007 (0.0205) time: 2.5008 data: 0.0025 max mem: 31671 Epoch: [5] [3030/5278] eta: 1:35:04 lr: 4.368283822836407e-05 loss: 0.1276 (0.1401) loss_seg: 0.1404 (0.1516) loss_lansim: 0.1132 (0.1086) loss_contra: 0.0006 (0.0204) time: 2.5015 data: 0.0025 max mem: 31671 Epoch: [5] [3040/5278] eta: 1:34:39 lr: 4.368067450359983e-05 loss: 0.1232 (0.1401) loss_seg: 0.1328 (0.1515) loss_lansim: 0.1155 (0.1087) loss_contra: 0.0006 (0.0208) time: 2.5008 data: 0.0025 max mem: 31671 Epoch: [5] [3050/5278] eta: 1:34:13 lr: 4.3678510766926615e-05 loss: 0.1276 (0.1401) loss_seg: 0.1404 (0.1515) loss_lansim: 0.1157 (0.1087) loss_contra: 0.0006 (0.0208) time: 2.4960 data: 0.0025 max mem: 31671 Epoch: [5] [3060/5278] eta: 1:33:47 lr: 4.367634701834371e-05 loss: 0.1232 (0.1400) loss_seg: 0.1328 (0.1514) loss_lansim: 0.1165 (0.1087) loss_contra: 0.0006 (0.0209) time: 2.4980 data: 0.0025 max mem: 31671 Epoch: [5] [3070/5278] eta: 1:33:22 lr: 4.3674183257850364e-05 loss: 0.1276 (0.1400) loss_seg: 0.1329 (0.1514) loss_lansim: 0.1163 (0.1087) loss_contra: 0.0008 (0.0208) time: 2.5043 data: 0.0025 max mem: 31671 Epoch: [5] [3080/5278] eta: 1:32:57 lr: 4.367201948544589e-05 loss: 0.1276 (0.1400) loss_seg: 0.1329 (0.1514) loss_lansim: 0.1175 (0.1088) loss_contra: 0.0009 (0.0208) time: 2.5128 data: 0.0025 max mem: 31671 Epoch: [5] [3090/5278] eta: 1:32:32 lr: 4.3669855701129534e-05 loss: 0.1276 (0.1401) loss_seg: 0.1345 (0.1515) loss_lansim: 0.1181 (0.1088) loss_contra: 0.0008 (0.0207) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [5] [3100/5278] eta: 1:32:06 lr: 4.36676919049006e-05 loss: 0.1232 (0.1402) loss_seg: 0.1329 (0.1516) loss_lansim: 0.1194 (0.1089) loss_contra: 0.0014 (0.0210) time: 2.5107 data: 0.0025 max mem: 31671 Epoch: [5] [3110/5278] eta: 1:31:41 lr: 4.366552809675836e-05 loss: 0.1255 (0.1402) loss_seg: 0.1345 (0.1517) loss_lansim: 0.1171 (0.1089) loss_contra: 0.0014 (0.0209) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [5] [3120/5278] eta: 1:31:15 lr: 4.366336427670209e-05 loss: 0.1222 (0.1402) loss_seg: 0.1329 (0.1516) loss_lansim: 0.1171 (0.1089) loss_contra: 0.0014 (0.0209) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [5] [3130/5278] eta: 1:30:50 lr: 4.366120044473108e-05 loss: 0.1232 (0.1402) loss_seg: 0.1329 (0.1516) loss_lansim: 0.1167 (0.1089) loss_contra: 0.0016 (0.0208) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [5] [3140/5278] eta: 1:30:25 lr: 4.365903660084458e-05 loss: 0.1263 (0.1402) loss_seg: 0.1345 (0.1517) loss_lansim: 0.1171 (0.1090) loss_contra: 0.0013 (0.0208) time: 2.5399 data: 0.0025 max mem: 31671 Epoch: [5] [3150/5278] eta: 1:29:59 lr: 4.365687274504189e-05 loss: 0.1308 (0.1403) loss_seg: 0.1345 (0.1517) loss_lansim: 0.1209 (0.1091) loss_contra: 0.0011 (0.0208) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [5] [3160/5278] eta: 1:29:34 lr: 4.3654708877322286e-05 loss: 0.1319 (0.1402) loss_seg: 0.1366 (0.1517) loss_lansim: 0.1209 (0.1091) loss_contra: 0.0009 (0.0207) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [5] [3170/5278] eta: 1:29:09 lr: 4.3652544997685044e-05 loss: 0.1378 (0.1403) loss_seg: 0.1507 (0.1518) loss_lansim: 0.1244 (0.1092) loss_contra: 0.0008 (0.0207) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [5] [3180/5278] eta: 1:28:44 lr: 4.365038110612944e-05 loss: 0.1348 (0.1403) loss_seg: 0.1437 (0.1517) loss_lansim: 0.1233 (0.1092) loss_contra: 0.0004 (0.0207) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [5] [3190/5278] eta: 1:28:19 lr: 4.3648217202654753e-05 loss: 0.1378 (0.1404) loss_seg: 0.1465 (0.1518) loss_lansim: 0.1227 (0.1093) loss_contra: 0.0005 (0.0208) time: 2.5537 data: 0.0025 max mem: 31671 Epoch: [5] [3200/5278] eta: 1:27:54 lr: 4.364605328726026e-05 loss: 0.1386 (0.1404) loss_seg: 0.1495 (0.1518) loss_lansim: 0.1219 (0.1093) loss_contra: 0.0004 (0.0208) time: 2.5551 data: 0.0025 max mem: 31671 Epoch: [5] [3210/5278] eta: 1:27:28 lr: 4.364388935994524e-05 loss: 0.1359 (0.1404) loss_seg: 0.1480 (0.1518) loss_lansim: 0.1224 (0.1094) loss_contra: 0.0005 (0.0207) time: 2.5434 data: 0.0024 max mem: 31671 Epoch: [5] [3220/5278] eta: 1:27:02 lr: 4.364172542070898e-05 loss: 0.1403 (0.1404) loss_seg: 0.1542 (0.1518) loss_lansim: 0.1234 (0.1094) loss_contra: 0.0004 (0.0207) time: 2.5488 data: 0.0024 max mem: 31671 Epoch: [5] [3230/5278] eta: 1:26:37 lr: 4.363956146955074e-05 loss: 0.1359 (0.1402) loss_seg: 0.1480 (0.1517) loss_lansim: 0.1249 (0.1094) loss_contra: 0.0004 (0.0207) time: 2.5531 data: 0.0024 max mem: 31671 Epoch: [5] [3240/5278] eta: 1:26:13 lr: 4.363739750646981e-05 loss: 0.1348 (0.1402) loss_seg: 0.1461 (0.1517) loss_lansim: 0.1219 (0.1095) loss_contra: 0.0003 (0.0206) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [5] [3250/5278] eta: 1:25:47 lr: 4.363523353146545e-05 loss: 0.1319 (0.1402) loss_seg: 0.1452 (0.1517) loss_lansim: 0.1211 (0.1095) loss_contra: 0.0003 (0.0206) time: 2.5600 data: 0.0025 max mem: 31671 Epoch: [5] [3260/5278] eta: 1:25:22 lr: 4.3633069544536966e-05 loss: 0.1304 (0.1402) loss_seg: 0.1444 (0.1517) loss_lansim: 0.1211 (0.1095) loss_contra: 0.0003 (0.0205) time: 2.5591 data: 0.0025 max mem: 31671 Epoch: [5] [3270/5278] eta: 1:24:56 lr: 4.363090554568361e-05 loss: 0.1225 (0.1403) loss_seg: 0.1360 (0.1518) loss_lansim: 0.1204 (0.1096) loss_contra: 0.0002 (0.0205) time: 2.5557 data: 0.0025 max mem: 31671 Epoch: [5] [3280/5278] eta: 1:24:31 lr: 4.362874153490467e-05 loss: 0.1251 (0.1405) loss_seg: 0.1386 (0.1519) loss_lansim: 0.1177 (0.1096) loss_contra: 0.0004 (0.0205) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [5] [3290/5278] eta: 1:24:06 lr: 4.3626577512199424e-05 loss: 0.1218 (0.1405) loss_seg: 0.1347 (0.1520) loss_lansim: 0.1177 (0.1096) loss_contra: 0.0003 (0.0205) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [5] [3300/5278] eta: 1:23:40 lr: 4.362441347756714e-05 loss: 0.1177 (0.1404) loss_seg: 0.1302 (0.1519) loss_lansim: 0.1177 (0.1097) loss_contra: 0.0004 (0.0205) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [5] [3310/5278] eta: 1:23:15 lr: 4.362224943100711e-05 loss: 0.1173 (0.1404) loss_seg: 0.1302 (0.1519) loss_lansim: 0.1168 (0.1097) loss_contra: 0.0004 (0.0205) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [5] [3320/5278] eta: 1:22:49 lr: 4.36200853725186e-05 loss: 0.1173 (0.1404) loss_seg: 0.1298 (0.1519) loss_lansim: 0.1168 (0.1097) loss_contra: 0.0007 (0.0205) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [5] [3330/5278] eta: 1:22:24 lr: 4.3617921302100886e-05 loss: 0.1173 (0.1404) loss_seg: 0.1298 (0.1518) loss_lansim: 0.1165 (0.1097) loss_contra: 0.0007 (0.0204) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [5] [3340/5278] eta: 1:21:58 lr: 4.361575721975325e-05 loss: 0.1124 (0.1402) loss_seg: 0.1247 (0.1517) loss_lansim: 0.1134 (0.1097) loss_contra: 0.0007 (0.0204) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [5] [3350/5278] eta: 1:21:33 lr: 4.361359312547497e-05 loss: 0.1143 (0.1403) loss_seg: 0.1269 (0.1518) loss_lansim: 0.1136 (0.1097) loss_contra: 0.0008 (0.0203) time: 2.5370 data: 0.0024 max mem: 31671 Epoch: [5] [3360/5278] eta: 1:21:08 lr: 4.361142901926531e-05 loss: 0.1178 (0.1403) loss_seg: 0.1286 (0.1518) loss_lansim: 0.1136 (0.1097) loss_contra: 0.0008 (0.0203) time: 2.5353 data: 0.0024 max mem: 31671 Epoch: [5] [3370/5278] eta: 1:20:42 lr: 4.360926490112356e-05 loss: 0.1190 (0.1403) loss_seg: 0.1286 (0.1518) loss_lansim: 0.1132 (0.1097) loss_contra: 0.0008 (0.0203) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [5] [3380/5278] eta: 1:20:17 lr: 4.3607100771048994e-05 loss: 0.1209 (0.1403) loss_seg: 0.1298 (0.1517) loss_lansim: 0.1119 (0.1097) loss_contra: 0.0008 (0.0202) time: 2.5397 data: 0.0024 max mem: 31671 Epoch: [5] [3390/5278] eta: 1:19:51 lr: 4.360493662904088e-05 loss: 0.1190 (0.1402) loss_seg: 0.1286 (0.1517) loss_lansim: 0.1118 (0.1097) loss_contra: 0.0008 (0.0202) time: 2.5307 data: 0.0024 max mem: 31671 Epoch: [5] [3400/5278] eta: 1:19:26 lr: 4.3602772475098495e-05 loss: 0.1242 (0.1403) loss_seg: 0.1319 (0.1517) loss_lansim: 0.1125 (0.1098) loss_contra: 0.0007 (0.0201) time: 2.5286 data: 0.0024 max mem: 31671 Epoch: [5] [3410/5278] eta: 1:19:00 lr: 4.3600608309221127e-05 loss: 0.1221 (0.1403) loss_seg: 0.1306 (0.1518) loss_lansim: 0.1103 (0.1098) loss_contra: 0.0007 (0.0201) time: 2.5292 data: 0.0024 max mem: 31671 Epoch: [5] [3420/5278] eta: 1:18:35 lr: 4.359844413140804e-05 loss: 0.1209 (0.1403) loss_seg: 0.1305 (0.1518) loss_lansim: 0.1116 (0.1098) loss_contra: 0.0005 (0.0201) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [5] [3430/5278] eta: 1:18:10 lr: 4.359627994165851e-05 loss: 0.1273 (0.1404) loss_seg: 0.1327 (0.1519) loss_lansim: 0.1116 (0.1098) loss_contra: 0.0005 (0.0201) time: 2.5370 data: 0.0024 max mem: 31671 Epoch: [5] [3440/5278] eta: 1:17:44 lr: 4.359411573997182e-05 loss: 0.1273 (0.1403) loss_seg: 0.1327 (0.1518) loss_lansim: 0.1139 (0.1098) loss_contra: 0.0005 (0.0202) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [5] [3450/5278] eta: 1:17:19 lr: 4.359195152634726e-05 loss: 0.1214 (0.1403) loss_seg: 0.1306 (0.1518) loss_lansim: 0.1125 (0.1099) loss_contra: 0.0004 (0.0202) time: 2.5364 data: 0.0024 max mem: 31671 Epoch: [5] [3460/5278] eta: 1:16:54 lr: 4.358978730078407e-05 loss: 0.1237 (0.1403) loss_seg: 0.1327 (0.1517) loss_lansim: 0.1116 (0.1099) loss_contra: 0.0005 (0.0202) time: 2.5342 data: 0.0024 max mem: 31671 Epoch: [5] [3470/5278] eta: 1:16:28 lr: 4.3587623063281546e-05 loss: 0.1315 (0.1404) loss_seg: 0.1430 (0.1519) loss_lansim: 0.1125 (0.1099) loss_contra: 0.0007 (0.0201) time: 2.5310 data: 0.0024 max mem: 31671 Epoch: [5] [3480/5278] eta: 1:16:03 lr: 4.358545881383896e-05 loss: 0.1286 (0.1404) loss_seg: 0.1416 (0.1519) loss_lansim: 0.1135 (0.1100) loss_contra: 0.0007 (0.0201) time: 2.5279 data: 0.0024 max mem: 31671 Epoch: [5] [3490/5278] eta: 1:15:37 lr: 4.358329455245559e-05 loss: 0.1315 (0.1405) loss_seg: 0.1459 (0.1520) loss_lansim: 0.1149 (0.1100) loss_contra: 0.0007 (0.0201) time: 2.5377 data: 0.0024 max mem: 31671 Epoch: [5] [3500/5278] eta: 1:15:13 lr: 4.358113027913072e-05 loss: 0.1282 (0.1405) loss_seg: 0.1419 (0.1520) loss_lansim: 0.1141 (0.1100) loss_contra: 0.0007 (0.0202) time: 2.5475 data: 0.0024 max mem: 31671 Epoch: [5] [3510/5278] eta: 1:14:47 lr: 4.35789659938636e-05 loss: 0.1327 (0.1406) loss_seg: 0.1464 (0.1521) loss_lansim: 0.1163 (0.1101) loss_contra: 0.0005 (0.0201) time: 2.5482 data: 0.0024 max mem: 31671 Epoch: [5] [3520/5278] eta: 1:14:21 lr: 4.357680169665353e-05 loss: 0.1315 (0.1405) loss_seg: 0.1435 (0.1520) loss_lansim: 0.1160 (0.1101) loss_contra: 0.0005 (0.0201) time: 2.5380 data: 0.0024 max mem: 31671 Epoch: [5] [3530/5278] eta: 1:13:56 lr: 4.3574637387499775e-05 loss: 0.1249 (0.1405) loss_seg: 0.1349 (0.1520) loss_lansim: 0.1163 (0.1101) loss_contra: 0.0007 (0.0201) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [5] [3540/5278] eta: 1:13:31 lr: 4.3572473066401606e-05 loss: 0.1315 (0.1405) loss_seg: 0.1459 (0.1520) loss_lansim: 0.1166 (0.1101) loss_contra: 0.0007 (0.0201) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [5] [3550/5278] eta: 1:13:05 lr: 4.35703087333583e-05 loss: 0.1370 (0.1405) loss_seg: 0.1514 (0.1520) loss_lansim: 0.1176 (0.1101) loss_contra: 0.0007 (0.0201) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [5] [3560/5278] eta: 1:12:40 lr: 4.3568144388369134e-05 loss: 0.1429 (0.1406) loss_seg: 0.1550 (0.1522) loss_lansim: 0.1189 (0.1102) loss_contra: 0.0004 (0.0200) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [5] [3570/5278] eta: 1:12:14 lr: 4.356598003143339e-05 loss: 0.1370 (0.1406) loss_seg: 0.1462 (0.1522) loss_lansim: 0.1189 (0.1102) loss_contra: 0.0004 (0.0200) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [5] [3580/5278] eta: 1:11:49 lr: 4.356381566255033e-05 loss: 0.1370 (0.1407) loss_seg: 0.1462 (0.1522) loss_lansim: 0.1201 (0.1102) loss_contra: 0.0003 (0.0199) time: 2.5364 data: 0.0026 max mem: 31671 Epoch: [5] [3590/5278] eta: 1:11:23 lr: 4.356165128171923e-05 loss: 0.1282 (0.1406) loss_seg: 0.1419 (0.1521) loss_lansim: 0.1189 (0.1103) loss_contra: 0.0004 (0.0199) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [5] [3600/5278] eta: 1:10:58 lr: 4.355948688893937e-05 loss: 0.1284 (0.1406) loss_seg: 0.1426 (0.1521) loss_lansim: 0.1201 (0.1103) loss_contra: 0.0005 (0.0199) time: 2.5220 data: 0.0026 max mem: 31671 Epoch: [5] [3610/5278] eta: 1:10:33 lr: 4.355732248421002e-05 loss: 0.1222 (0.1406) loss_seg: 0.1303 (0.1521) loss_lansim: 0.1202 (0.1104) loss_contra: 0.0008 (0.0198) time: 2.5254 data: 0.0026 max mem: 31671 Epoch: [5] [3620/5278] eta: 1:10:08 lr: 4.3555158067530465e-05 loss: 0.1257 (0.1406) loss_seg: 0.1373 (0.1521) loss_lansim: 0.1216 (0.1104) loss_contra: 0.0011 (0.0199) time: 2.5366 data: 0.0026 max mem: 31671 Epoch: [5] [3630/5278] eta: 1:09:43 lr: 4.3552993638899966e-05 loss: 0.1257 (0.1405) loss_seg: 0.1373 (0.1520) loss_lansim: 0.1216 (0.1104) loss_contra: 0.0007 (0.0198) time: 2.5436 data: 0.0026 max mem: 31671 Epoch: [5] [3640/5278] eta: 1:09:17 lr: 4.3550829198317805e-05 loss: 0.1262 (0.1405) loss_seg: 0.1373 (0.1519) loss_lansim: 0.1217 (0.1105) loss_contra: 0.0005 (0.0198) time: 2.5409 data: 0.0026 max mem: 31671 Epoch: [5] [3650/5278] eta: 1:08:51 lr: 4.3548664745783244e-05 loss: 0.1284 (0.1405) loss_seg: 0.1373 (0.1520) loss_lansim: 0.1224 (0.1105) loss_contra: 0.0007 (0.0198) time: 2.5350 data: 0.0026 max mem: 31671 Epoch: [5] [3660/5278] eta: 1:08:26 lr: 4.3546500281295577e-05 loss: 0.1239 (0.1405) loss_seg: 0.1322 (0.1519) loss_lansim: 0.1231 (0.1106) loss_contra: 0.0012 (0.0197) time: 2.5376 data: 0.0027 max mem: 31671 Epoch: [5] [3670/5278] eta: 1:08:01 lr: 4.3544335804854066e-05 loss: 0.1239 (0.1404) loss_seg: 0.1339 (0.1519) loss_lansim: 0.1231 (0.1106) loss_contra: 0.0011 (0.0197) time: 2.5417 data: 0.0027 max mem: 31671 Epoch: [5] [3680/5278] eta: 1:07:35 lr: 4.354217131645797e-05 loss: 0.1223 (0.1404) loss_seg: 0.1322 (0.1519) loss_lansim: 0.1224 (0.1107) loss_contra: 0.0008 (0.0197) time: 2.5356 data: 0.0027 max mem: 31671 Epoch: [5] [3690/5278] eta: 1:07:10 lr: 4.354000681610659e-05 loss: 0.1262 (0.1405) loss_seg: 0.1358 (0.1519) loss_lansim: 0.1232 (0.1107) loss_contra: 0.0008 (0.0196) time: 2.5384 data: 0.0027 max mem: 31671 Epoch: [5] [3700/5278] eta: 1:06:44 lr: 4.3537842303799185e-05 loss: 0.1239 (0.1405) loss_seg: 0.1339 (0.1519) loss_lansim: 0.1232 (0.1108) loss_contra: 0.0005 (0.0197) time: 2.5377 data: 0.0027 max mem: 31671 Epoch: [5] [3710/5278] eta: 1:06:19 lr: 4.353567777953504e-05 loss: 0.1212 (0.1404) loss_seg: 0.1322 (0.1519) loss_lansim: 0.1231 (0.1108) loss_contra: 0.0003 (0.0196) time: 2.5385 data: 0.0027 max mem: 31671 Epoch: [5] [3720/5278] eta: 1:05:54 lr: 4.3533513243313414e-05 loss: 0.1206 (0.1403) loss_seg: 0.1303 (0.1518) loss_lansim: 0.1210 (0.1108) loss_contra: 0.0003 (0.0196) time: 2.5348 data: 0.0026 max mem: 31671 Epoch: [5] [3730/5278] eta: 1:05:28 lr: 4.353134869513358e-05 loss: 0.1212 (0.1403) loss_seg: 0.1322 (0.1518) loss_lansim: 0.1232 (0.1109) loss_contra: 0.0004 (0.0201) time: 2.5164 data: 0.0026 max mem: 31671 Epoch: [5] [3740/5278] eta: 1:05:02 lr: 4.352918413499482e-05 loss: 0.1191 (0.1404) loss_seg: 0.1283 (0.1518) loss_lansim: 0.1242 (0.1110) loss_contra: 0.0006 (0.0204) time: 2.5120 data: 0.0026 max mem: 31671 Epoch: [5] [3750/5278] eta: 1:04:37 lr: 4.3527019562896406e-05 loss: 0.1160 (0.1404) loss_seg: 0.1211 (0.1519) loss_lansim: 0.1244 (0.1110) loss_contra: 0.0005 (0.0204) time: 2.5239 data: 0.0026 max mem: 31671 Epoch: [5] [3760/5278] eta: 1:04:12 lr: 4.352485497883761e-05 loss: 0.1160 (0.1406) loss_seg: 0.1218 (0.1520) loss_lansim: 0.1254 (0.1111) loss_contra: 0.0006 (0.0205) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [5] [3770/5278] eta: 1:03:46 lr: 4.352269038281771e-05 loss: 0.1089 (0.1405) loss_seg: 0.1198 (0.1520) loss_lansim: 0.1269 (0.1111) loss_contra: 0.0007 (0.0205) time: 2.5140 data: 0.0025 max mem: 31671 Epoch: [5] [3780/5278] eta: 1:03:21 lr: 4.352052577483596e-05 loss: 0.1089 (0.1406) loss_seg: 0.1199 (0.1521) loss_lansim: 0.1246 (0.1111) loss_contra: 0.0009 (0.0205) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [5] [3790/5278] eta: 1:02:55 lr: 4.3518361154891657e-05 loss: 0.1089 (0.1405) loss_seg: 0.1199 (0.1520) loss_lansim: 0.1242 (0.1111) loss_contra: 0.0009 (0.0205) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [5] [3800/5278] eta: 1:02:30 lr: 4.351619652298405e-05 loss: 0.1099 (0.1406) loss_seg: 0.1199 (0.1521) loss_lansim: 0.1224 (0.1112) loss_contra: 0.0011 (0.0205) time: 2.5162 data: 0.0024 max mem: 31671 Epoch: [5] [3810/5278] eta: 1:02:04 lr: 4.351403187911244e-05 loss: 0.1159 (0.1406) loss_seg: 0.1214 (0.1520) loss_lansim: 0.1233 (0.1112) loss_contra: 0.0017 (0.0205) time: 2.5086 data: 0.0024 max mem: 31671 Epoch: [5] [3820/5278] eta: 1:01:39 lr: 4.351186722327608e-05 loss: 0.1160 (0.1407) loss_seg: 0.1218 (0.1521) loss_lansim: 0.1242 (0.1112) loss_contra: 0.0017 (0.0205) time: 2.5042 data: 0.0024 max mem: 31671 Epoch: [5] [3830/5278] eta: 1:01:13 lr: 4.350970255547423e-05 loss: 0.1166 (0.1408) loss_seg: 0.1281 (0.1522) loss_lansim: 0.1227 (0.1113) loss_contra: 0.0020 (0.0204) time: 2.5148 data: 0.0024 max mem: 31671 Epoch: [5] [3840/5278] eta: 1:00:48 lr: 4.35075378757062e-05 loss: 0.1213 (0.1407) loss_seg: 0.1285 (0.1522) loss_lansim: 0.1219 (0.1113) loss_contra: 0.0017 (0.0205) time: 2.5195 data: 0.0024 max mem: 31671 Epoch: [5] [3850/5278] eta: 1:00:23 lr: 4.350537318397124e-05 loss: 0.1217 (0.1408) loss_seg: 0.1296 (0.1523) loss_lansim: 0.1219 (0.1113) loss_contra: 0.0017 (0.0205) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [5] [3860/5278] eta: 0:59:57 lr: 4.350320848026861e-05 loss: 0.1222 (0.1408) loss_seg: 0.1297 (0.1523) loss_lansim: 0.1199 (0.1114) loss_contra: 0.0013 (0.0205) time: 2.5153 data: 0.0025 max mem: 31671 Epoch: [5] [3870/5278] eta: 0:59:32 lr: 4.350104376459761e-05 loss: 0.1246 (0.1408) loss_seg: 0.1367 (0.1523) loss_lansim: 0.1195 (0.1114) loss_contra: 0.0011 (0.0204) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [5] [3880/5278] eta: 0:59:06 lr: 4.349887903695749e-05 loss: 0.1259 (0.1408) loss_seg: 0.1369 (0.1523) loss_lansim: 0.1199 (0.1114) loss_contra: 0.0010 (0.0204) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [5] [3890/5278] eta: 0:58:41 lr: 4.3496714297347526e-05 loss: 0.1246 (0.1408) loss_seg: 0.1365 (0.1522) loss_lansim: 0.1199 (0.1114) loss_contra: 0.0017 (0.0205) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [5] [3900/5278] eta: 0:58:15 lr: 4.349454954576701e-05 loss: 0.1259 (0.1409) loss_seg: 0.1368 (0.1524) loss_lansim: 0.1195 (0.1114) loss_contra: 0.0013 (0.0205) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [5] [3910/5278] eta: 0:57:50 lr: 4.349238478221518e-05 loss: 0.1293 (0.1409) loss_seg: 0.1382 (0.1524) loss_lansim: 0.1199 (0.1115) loss_contra: 0.0008 (0.0204) time: 2.5277 data: 0.0026 max mem: 31671 Epoch: [5] [3920/5278] eta: 0:57:24 lr: 4.349022000669134e-05 loss: 0.1346 (0.1410) loss_seg: 0.1447 (0.1525) loss_lansim: 0.1195 (0.1115) loss_contra: 0.0008 (0.0204) time: 2.5229 data: 0.0026 max mem: 31671 Epoch: [5] [3930/5278] eta: 0:56:59 lr: 4.348805521919474e-05 loss: 0.1327 (0.1410) loss_seg: 0.1432 (0.1525) loss_lansim: 0.1188 (0.1115) loss_contra: 0.0006 (0.0203) time: 2.5297 data: 0.0026 max mem: 31671 Epoch: [5] [3940/5278] eta: 0:56:34 lr: 4.348589041972465e-05 loss: 0.1346 (0.1410) loss_seg: 0.1454 (0.1525) loss_lansim: 0.1188 (0.1115) loss_contra: 0.0006 (0.0203) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [5] [3950/5278] eta: 0:56:09 lr: 4.348372560828036e-05 loss: 0.1346 (0.1410) loss_seg: 0.1454 (0.1525) loss_lansim: 0.1152 (0.1115) loss_contra: 0.0005 (0.0203) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [5] [3960/5278] eta: 0:55:43 lr: 4.348156078486113e-05 loss: 0.1345 (0.1410) loss_seg: 0.1470 (0.1525) loss_lansim: 0.1141 (0.1115) loss_contra: 0.0005 (0.0203) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [5] [3970/5278] eta: 0:55:18 lr: 4.347939594946623e-05 loss: 0.1346 (0.1409) loss_seg: 0.1476 (0.1524) loss_lansim: 0.1150 (0.1116) loss_contra: 0.0005 (0.0202) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [5] [3980/5278] eta: 0:54:52 lr: 4.347723110209494e-05 loss: 0.1352 (0.1409) loss_seg: 0.1470 (0.1524) loss_lansim: 0.1137 (0.1116) loss_contra: 0.0004 (0.0202) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [5] [3990/5278] eta: 0:54:27 lr: 4.347506624274651e-05 loss: 0.1371 (0.1408) loss_seg: 0.1485 (0.1523) loss_lansim: 0.1167 (0.1116) loss_contra: 0.0003 (0.0202) time: 2.5360 data: 0.0026 max mem: 31671 Epoch: [5] [4000/5278] eta: 0:54:02 lr: 4.3472901371420245e-05 loss: 0.1371 (0.1410) loss_seg: 0.1485 (0.1524) loss_lansim: 0.1183 (0.1116) loss_contra: 0.0002 (0.0202) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [5] [4010/5278] eta: 0:53:37 lr: 4.347073648811538e-05 loss: 0.1359 (0.1410) loss_seg: 0.1484 (0.1524) loss_lansim: 0.1167 (0.1117) loss_contra: 0.0002 (0.0201) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [5] [4020/5278] eta: 0:53:11 lr: 4.346857159283122e-05 loss: 0.1336 (0.1409) loss_seg: 0.1445 (0.1524) loss_lansim: 0.1166 (0.1117) loss_contra: 0.0003 (0.0201) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [5] [4030/5278] eta: 0:52:46 lr: 4.3466406685567005e-05 loss: 0.1237 (0.1409) loss_seg: 0.1364 (0.1524) loss_lansim: 0.1176 (0.1117) loss_contra: 0.0003 (0.0201) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [5] [4040/5278] eta: 0:52:20 lr: 4.3464241766322026e-05 loss: 0.1359 (0.1410) loss_seg: 0.1484 (0.1524) loss_lansim: 0.1183 (0.1118) loss_contra: 0.0003 (0.0202) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [5] [4050/5278] eta: 0:51:55 lr: 4.346207683509554e-05 loss: 0.1371 (0.1410) loss_seg: 0.1448 (0.1525) loss_lansim: 0.1210 (0.1118) loss_contra: 0.0004 (0.0202) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [5] [4060/5278] eta: 0:51:30 lr: 4.3459911891886835e-05 loss: 0.1359 (0.1410) loss_seg: 0.1445 (0.1525) loss_lansim: 0.1211 (0.1118) loss_contra: 0.0005 (0.0201) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [5] [4070/5278] eta: 0:51:04 lr: 4.345774693669517e-05 loss: 0.1382 (0.1410) loss_seg: 0.1485 (0.1525) loss_lansim: 0.1211 (0.1119) loss_contra: 0.0006 (0.0201) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [5] [4080/5278] eta: 0:50:39 lr: 4.345558196951981e-05 loss: 0.1385 (0.1413) loss_seg: 0.1510 (0.1528) loss_lansim: 0.1212 (0.1119) loss_contra: 0.0007 (0.0201) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [5] [4090/5278] eta: 0:50:13 lr: 4.345341699036003e-05 loss: 0.1410 (0.1413) loss_seg: 0.1519 (0.1527) loss_lansim: 0.1209 (0.1119) loss_contra: 0.0007 (0.0201) time: 2.5375 data: 0.0024 max mem: 31671 Epoch: [5] [4100/5278] eta: 0:49:48 lr: 4.345125199921511e-05 loss: 0.1385 (0.1413) loss_seg: 0.1504 (0.1528) loss_lansim: 0.1209 (0.1119) loss_contra: 0.0007 (0.0201) time: 2.5389 data: 0.0024 max mem: 31671 Epoch: [5] [4110/5278] eta: 0:49:23 lr: 4.344908699608431e-05 loss: 0.1382 (0.1412) loss_seg: 0.1458 (0.1527) loss_lansim: 0.1210 (0.1119) loss_contra: 0.0009 (0.0200) time: 2.5314 data: 0.0024 max mem: 31671 Epoch: [5] [4120/5278] eta: 0:48:57 lr: 4.34469219809669e-05 loss: 0.1404 (0.1413) loss_seg: 0.1510 (0.1527) loss_lansim: 0.1210 (0.1120) loss_contra: 0.0009 (0.0200) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [5] [4130/5278] eta: 0:48:32 lr: 4.344475695386215e-05 loss: 0.1411 (0.1413) loss_seg: 0.1536 (0.1528) loss_lansim: 0.1205 (0.1120) loss_contra: 0.0009 (0.0200) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [5] [4140/5278] eta: 0:48:07 lr: 4.344259191476934e-05 loss: 0.1409 (0.1413) loss_seg: 0.1519 (0.1528) loss_lansim: 0.1205 (0.1120) loss_contra: 0.0009 (0.0199) time: 2.5336 data: 0.0024 max mem: 31671 Epoch: [5] [4150/5278] eta: 0:47:41 lr: 4.3440426863687725e-05 loss: 0.1399 (0.1413) loss_seg: 0.1502 (0.1528) loss_lansim: 0.1188 (0.1120) loss_contra: 0.0008 (0.0199) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [5] [4160/5278] eta: 0:47:16 lr: 4.3438261800616586e-05 loss: 0.1404 (0.1414) loss_seg: 0.1555 (0.1528) loss_lansim: 0.1188 (0.1121) loss_contra: 0.0007 (0.0199) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [5] [4170/5278] eta: 0:46:50 lr: 4.343609672555519e-05 loss: 0.1351 (0.1414) loss_seg: 0.1481 (0.1528) loss_lansim: 0.1188 (0.1121) loss_contra: 0.0006 (0.0200) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [5] [4180/5278] eta: 0:46:25 lr: 4.3433931638502796e-05 loss: 0.1283 (0.1413) loss_seg: 0.1402 (0.1528) loss_lansim: 0.1189 (0.1121) loss_contra: 0.0006 (0.0200) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [5] [4190/5278] eta: 0:45:59 lr: 4.343176653945868e-05 loss: 0.1331 (0.1413) loss_seg: 0.1422 (0.1528) loss_lansim: 0.1183 (0.1121) loss_contra: 0.0006 (0.0200) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [5] [4200/5278] eta: 0:45:34 lr: 4.342960142842212e-05 loss: 0.1351 (0.1413) loss_seg: 0.1473 (0.1528) loss_lansim: 0.1189 (0.1121) loss_contra: 0.0007 (0.0200) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [5] [4210/5278] eta: 0:45:09 lr: 4.3427436305392385e-05 loss: 0.1401 (0.1413) loss_seg: 0.1502 (0.1528) loss_lansim: 0.1189 (0.1122) loss_contra: 0.0006 (0.0200) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [5] [4220/5278] eta: 0:44:43 lr: 4.3425271170368724e-05 loss: 0.1399 (0.1416) loss_seg: 0.1502 (0.1531) loss_lansim: 0.1188 (0.1122) loss_contra: 0.0006 (0.0199) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [5] [4230/5278] eta: 0:44:18 lr: 4.342310602335043e-05 loss: 0.1351 (0.1416) loss_seg: 0.1481 (0.1531) loss_lansim: 0.1182 (0.1122) loss_contra: 0.0005 (0.0199) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [5] [4240/5278] eta: 0:43:52 lr: 4.342094086433676e-05 loss: 0.1343 (0.1415) loss_seg: 0.1435 (0.1530) loss_lansim: 0.1164 (0.1122) loss_contra: 0.0007 (0.0200) time: 2.5142 data: 0.0025 max mem: 31671 Epoch: [5] [4250/5278] eta: 0:43:27 lr: 4.3418775693326984e-05 loss: 0.1343 (0.1415) loss_seg: 0.1435 (0.1530) loss_lansim: 0.1164 (0.1122) loss_contra: 0.0006 (0.0199) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [5] [4260/5278] eta: 0:43:02 lr: 4.341661051032037e-05 loss: 0.1291 (0.1415) loss_seg: 0.1387 (0.1530) loss_lansim: 0.1153 (0.1122) loss_contra: 0.0006 (0.0199) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [5] [4270/5278] eta: 0:42:36 lr: 4.3414445315316185e-05 loss: 0.1329 (0.1415) loss_seg: 0.1435 (0.1530) loss_lansim: 0.1149 (0.1122) loss_contra: 0.0006 (0.0199) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [5] [4280/5278] eta: 0:42:11 lr: 4.341228010831371e-05 loss: 0.1343 (0.1415) loss_seg: 0.1479 (0.1531) loss_lansim: 0.1134 (0.1122) loss_contra: 0.0006 (0.0199) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [5] [4290/5278] eta: 0:41:46 lr: 4.34101148893122e-05 loss: 0.1343 (0.1415) loss_seg: 0.1479 (0.1531) loss_lansim: 0.1149 (0.1123) loss_contra: 0.0006 (0.0200) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [5] [4300/5278] eta: 0:41:20 lr: 4.340794965831093e-05 loss: 0.1355 (0.1416) loss_seg: 0.1502 (0.1531) loss_lansim: 0.1149 (0.1123) loss_contra: 0.0006 (0.0200) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [5] [4310/5278] eta: 0:40:55 lr: 4.3405784415309165e-05 loss: 0.1343 (0.1417) loss_seg: 0.1479 (0.1532) loss_lansim: 0.1159 (0.1123) loss_contra: 0.0006 (0.0199) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [5] [4320/5278] eta: 0:40:29 lr: 4.3403619160306173e-05 loss: 0.1343 (0.1416) loss_seg: 0.1474 (0.1531) loss_lansim: 0.1175 (0.1124) loss_contra: 0.0006 (0.0199) time: 2.5215 data: 0.0025 max mem: 31671 Epoch: [5] [4330/5278] eta: 0:40:04 lr: 4.3401453893301233e-05 loss: 0.1335 (0.1416) loss_seg: 0.1474 (0.1531) loss_lansim: 0.1175 (0.1124) loss_contra: 0.0006 (0.0199) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [5] [4340/5278] eta: 0:39:39 lr: 4.33992886142936e-05 loss: 0.1293 (0.1416) loss_seg: 0.1391 (0.1531) loss_lansim: 0.1208 (0.1124) loss_contra: 0.0005 (0.0199) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [5] [4350/5278] eta: 0:39:13 lr: 4.339712332328254e-05 loss: 0.1272 (0.1416) loss_seg: 0.1391 (0.1531) loss_lansim: 0.1209 (0.1124) loss_contra: 0.0005 (0.0198) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [5] [4360/5278] eta: 0:38:48 lr: 4.3394958020267336e-05 loss: 0.1335 (0.1416) loss_seg: 0.1435 (0.1531) loss_lansim: 0.1213 (0.1124) loss_contra: 0.0006 (0.0198) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [5] [4370/5278] eta: 0:38:22 lr: 4.339279270524725e-05 loss: 0.1317 (0.1415) loss_seg: 0.1435 (0.1531) loss_lansim: 0.1206 (0.1124) loss_contra: 0.0009 (0.0198) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [5] [4380/5278] eta: 0:37:57 lr: 4.339062737822154e-05 loss: 0.1246 (0.1415) loss_seg: 0.1369 (0.1530) loss_lansim: 0.1206 (0.1125) loss_contra: 0.0006 (0.0199) time: 2.5166 data: 0.0024 max mem: 31671 Epoch: [5] [4390/5278] eta: 0:37:32 lr: 4.338846203918947e-05 loss: 0.1182 (0.1413) loss_seg: 0.1314 (0.1529) loss_lansim: 0.1200 (0.1125) loss_contra: 0.0006 (0.0198) time: 2.5152 data: 0.0024 max mem: 31671 Epoch: [5] [4400/5278] eta: 0:37:06 lr: 4.338629668815033e-05 loss: 0.1185 (0.1414) loss_seg: 0.1314 (0.1529) loss_lansim: 0.1169 (0.1125) loss_contra: 0.0005 (0.0198) time: 2.5161 data: 0.0024 max mem: 31671 Epoch: [5] [4410/5278] eta: 0:36:41 lr: 4.338413132510338e-05 loss: 0.1235 (0.1414) loss_seg: 0.1316 (0.1529) loss_lansim: 0.1146 (0.1125) loss_contra: 0.0003 (0.0197) time: 2.5149 data: 0.0024 max mem: 31671 Epoch: [5] [4420/5278] eta: 0:36:15 lr: 4.3381965950047885e-05 loss: 0.1189 (0.1414) loss_seg: 0.1316 (0.1529) loss_lansim: 0.1139 (0.1125) loss_contra: 0.0004 (0.0197) time: 2.5239 data: 0.0024 max mem: 31671 Epoch: [5] [4430/5278] eta: 0:35:50 lr: 4.3379800562983106e-05 loss: 0.1235 (0.1415) loss_seg: 0.1304 (0.1530) loss_lansim: 0.1146 (0.1125) loss_contra: 0.0006 (0.0197) time: 2.5228 data: 0.0024 max mem: 31671 Epoch: [5] [4440/5278] eta: 0:35:25 lr: 4.337763516390832e-05 loss: 0.1268 (0.1415) loss_seg: 0.1316 (0.1531) loss_lansim: 0.1141 (0.1125) loss_contra: 0.0006 (0.0199) time: 2.5292 data: 0.0024 max mem: 31671 Epoch: [5] [4450/5278] eta: 0:35:00 lr: 4.337546975282279e-05 loss: 0.1246 (0.1416) loss_seg: 0.1302 (0.1531) loss_lansim: 0.1128 (0.1125) loss_contra: 0.0006 (0.0199) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [5] [4460/5278] eta: 0:34:34 lr: 4.337330432972578e-05 loss: 0.1246 (0.1416) loss_seg: 0.1302 (0.1531) loss_lansim: 0.1132 (0.1126) loss_contra: 0.0004 (0.0199) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [5] [4470/5278] eta: 0:34:09 lr: 4.337113889461656e-05 loss: 0.1268 (0.1416) loss_seg: 0.1316 (0.1531) loss_lansim: 0.1146 (0.1126) loss_contra: 0.0006 (0.0199) time: 2.5528 data: 0.0024 max mem: 31671 Epoch: [5] [4480/5278] eta: 0:33:44 lr: 4.3368973447494395e-05 loss: 0.1298 (0.1416) loss_seg: 0.1407 (0.1531) loss_lansim: 0.1128 (0.1126) loss_contra: 0.0008 (0.0201) time: 2.5498 data: 0.0024 max mem: 31671 Epoch: [5] [4490/5278] eta: 0:33:18 lr: 4.336680798835855e-05 loss: 0.1335 (0.1415) loss_seg: 0.1442 (0.1531) loss_lansim: 0.1160 (0.1126) loss_contra: 0.0008 (0.0201) time: 2.5521 data: 0.0024 max mem: 31671 Epoch: [5] [4500/5278] eta: 0:32:53 lr: 4.33646425172083e-05 loss: 0.1335 (0.1415) loss_seg: 0.1442 (0.1531) loss_lansim: 0.1176 (0.1126) loss_contra: 0.0008 (0.0201) time: 2.5530 data: 0.0024 max mem: 31671 Epoch: [5] [4510/5278] eta: 0:32:27 lr: 4.3362477034042905e-05 loss: 0.1390 (0.1416) loss_seg: 0.1471 (0.1531) loss_lansim: 0.1182 (0.1127) loss_contra: 0.0010 (0.0201) time: 2.5570 data: 0.0024 max mem: 31671 Epoch: [5] [4520/5278] eta: 0:32:02 lr: 4.336031153886164e-05 loss: 0.1441 (0.1416) loss_seg: 0.1514 (0.1532) loss_lansim: 0.1187 (0.1127) loss_contra: 0.0010 (0.0201) time: 2.5466 data: 0.0024 max mem: 31671 Epoch: [5] [4530/5278] eta: 0:31:36 lr: 4.3358146031663765e-05 loss: 0.1443 (0.1416) loss_seg: 0.1514 (0.1532) loss_lansim: 0.1198 (0.1127) loss_contra: 0.0010 (0.0202) time: 2.5380 data: 0.0024 max mem: 31671 Epoch: [5] [4540/5278] eta: 0:31:11 lr: 4.335598051244854e-05 loss: 0.1416 (0.1416) loss_seg: 0.1503 (0.1532) loss_lansim: 0.1196 (0.1127) loss_contra: 0.0010 (0.0201) time: 2.5296 data: 0.0024 max mem: 31671 Epoch: [5] [4550/5278] eta: 0:30:46 lr: 4.335381498121525e-05 loss: 0.1397 (0.1416) loss_seg: 0.1494 (0.1532) loss_lansim: 0.1198 (0.1127) loss_contra: 0.0013 (0.0201) time: 2.5168 data: 0.0024 max mem: 31671 Epoch: [5] [4560/5278] eta: 0:30:20 lr: 4.3351649437963136e-05 loss: 0.1401 (0.1416) loss_seg: 0.1471 (0.1532) loss_lansim: 0.1194 (0.1127) loss_contra: 0.0007 (0.0201) time: 2.5176 data: 0.0024 max mem: 31671 Epoch: [5] [4570/5278] eta: 0:29:55 lr: 4.3349483882691485e-05 loss: 0.1401 (0.1416) loss_seg: 0.1469 (0.1532) loss_lansim: 0.1190 (0.1128) loss_contra: 0.0006 (0.0201) time: 2.5107 data: 0.0025 max mem: 31671 Epoch: [5] [4580/5278] eta: 0:29:30 lr: 4.3347318315399555e-05 loss: 0.1397 (0.1416) loss_seg: 0.1466 (0.1532) loss_lansim: 0.1194 (0.1128) loss_contra: 0.0005 (0.0201) time: 2.5162 data: 0.0025 max mem: 31671 Epoch: [5] [4590/5278] eta: 0:29:04 lr: 4.3345152736086615e-05 loss: 0.1401 (0.1418) loss_seg: 0.1466 (0.1533) loss_lansim: 0.1194 (0.1128) loss_contra: 0.0005 (0.0201) time: 2.5113 data: 0.0025 max mem: 31671 Epoch: [5] [4600/5278] eta: 0:28:39 lr: 4.3342987144751926e-05 loss: 0.1416 (0.1419) loss_seg: 0.1469 (0.1535) loss_lansim: 0.1213 (0.1128) loss_contra: 0.0005 (0.0201) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [5] [4610/5278] eta: 0:28:14 lr: 4.3340821541394757e-05 loss: 0.1367 (0.1419) loss_seg: 0.1424 (0.1535) loss_lansim: 0.1213 (0.1128) loss_contra: 0.0004 (0.0200) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [5] [4620/5278] eta: 0:27:48 lr: 4.3338655926014374e-05 loss: 0.1250 (0.1418) loss_seg: 0.1388 (0.1534) loss_lansim: 0.1202 (0.1129) loss_contra: 0.0004 (0.0200) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [5] [4630/5278] eta: 0:27:23 lr: 4.333649029861004e-05 loss: 0.1205 (0.1418) loss_seg: 0.1339 (0.1534) loss_lansim: 0.1221 (0.1129) loss_contra: 0.0005 (0.0200) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [5] [4640/5278] eta: 0:26:58 lr: 4.3334324659181025e-05 loss: 0.1183 (0.1417) loss_seg: 0.1300 (0.1533) loss_lansim: 0.1232 (0.1129) loss_contra: 0.0007 (0.0199) time: 2.5421 data: 0.0025 max mem: 31671 Epoch: [5] [4650/5278] eta: 0:26:32 lr: 4.333215900772659e-05 loss: 0.1183 (0.1418) loss_seg: 0.1300 (0.1533) loss_lansim: 0.1232 (0.1130) loss_contra: 0.0007 (0.0199) time: 2.5401 data: 0.0025 max mem: 31671 Epoch: [5] [4660/5278] eta: 0:26:07 lr: 4.332999334424601e-05 loss: 0.1120 (0.1418) loss_seg: 0.1235 (0.1534) loss_lansim: 0.1232 (0.1130) loss_contra: 0.0007 (0.0199) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [5] [4670/5278] eta: 0:25:41 lr: 4.332782766873854e-05 loss: 0.1120 (0.1418) loss_seg: 0.1235 (0.1534) loss_lansim: 0.1238 (0.1130) loss_contra: 0.0007 (0.0199) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [5] [4680/5278] eta: 0:25:16 lr: 4.3325661981203445e-05 loss: 0.1183 (0.1418) loss_seg: 0.1300 (0.1534) loss_lansim: 0.1248 (0.1130) loss_contra: 0.0007 (0.0199) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [5] [4690/5278] eta: 0:24:51 lr: 4.332349628163999e-05 loss: 0.1183 (0.1418) loss_seg: 0.1300 (0.1534) loss_lansim: 0.1294 (0.1131) loss_contra: 0.0007 (0.0198) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [5] [4700/5278] eta: 0:24:25 lr: 4.3321330570047444e-05 loss: 0.1175 (0.1418) loss_seg: 0.1300 (0.1533) loss_lansim: 0.1273 (0.1131) loss_contra: 0.0007 (0.0198) time: 2.5260 data: 0.0025 max mem: 31671 Epoch: [5] [4710/5278] eta: 0:24:00 lr: 4.331916484642508e-05 loss: 0.1175 (0.1418) loss_seg: 0.1300 (0.1533) loss_lansim: 0.1294 (0.1132) loss_contra: 0.0010 (0.0199) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [5] [4720/5278] eta: 0:23:35 lr: 4.331699911077215e-05 loss: 0.1220 (0.1418) loss_seg: 0.1317 (0.1533) loss_lansim: 0.1297 (0.1132) loss_contra: 0.0008 (0.0200) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [5] [4730/5278] eta: 0:23:09 lr: 4.331483336308793e-05 loss: 0.1220 (0.1417) loss_seg: 0.1317 (0.1532) loss_lansim: 0.1303 (0.1133) loss_contra: 0.0008 (0.0200) time: 2.5328 data: 0.0024 max mem: 31671 Epoch: [5] [4740/5278] eta: 0:22:44 lr: 4.331266760337167e-05 loss: 0.1258 (0.1417) loss_seg: 0.1359 (0.1532) loss_lansim: 0.1303 (0.1133) loss_contra: 0.0006 (0.0200) time: 2.5312 data: 0.0024 max mem: 31671 Epoch: [5] [4750/5278] eta: 0:22:19 lr: 4.331050183162264e-05 loss: 0.1258 (0.1417) loss_seg: 0.1359 (0.1532) loss_lansim: 0.1297 (0.1133) loss_contra: 0.0006 (0.0200) time: 2.5401 data: 0.0025 max mem: 31671 Epoch: [5] [4760/5278] eta: 0:21:53 lr: 4.3308336047840114e-05 loss: 0.1258 (0.1417) loss_seg: 0.1360 (0.1532) loss_lansim: 0.1294 (0.1133) loss_contra: 0.0005 (0.0200) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [5] [4770/5278] eta: 0:21:28 lr: 4.330617025202335e-05 loss: 0.1254 (0.1417) loss_seg: 0.1369 (0.1533) loss_lansim: 0.1289 (0.1133) loss_contra: 0.0005 (0.0199) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [5] [4780/5278] eta: 0:21:02 lr: 4.330400444417161e-05 loss: 0.1229 (0.1417) loss_seg: 0.1355 (0.1532) loss_lansim: 0.1283 (0.1134) loss_contra: 0.0005 (0.0200) time: 2.5400 data: 0.0025 max mem: 31671 Epoch: [5] [4790/5278] eta: 0:20:37 lr: 4.330183862428416e-05 loss: 0.1226 (0.1416) loss_seg: 0.1314 (0.1532) loss_lansim: 0.1269 (0.1134) loss_contra: 0.0005 (0.0199) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [5] [4800/5278] eta: 0:20:12 lr: 4.329967279236026e-05 loss: 0.1228 (0.1417) loss_seg: 0.1359 (0.1532) loss_lansim: 0.1252 (0.1134) loss_contra: 0.0004 (0.0199) time: 2.5537 data: 0.0025 max mem: 31671 Epoch: [5] [4810/5278] eta: 0:19:46 lr: 4.329750694839919e-05 loss: 0.1228 (0.1417) loss_seg: 0.1359 (0.1532) loss_lansim: 0.1224 (0.1134) loss_contra: 0.0003 (0.0199) time: 2.5568 data: 0.0025 max mem: 31671 Epoch: [5] [4820/5278] eta: 0:19:21 lr: 4.329534109240019e-05 loss: 0.1239 (0.1417) loss_seg: 0.1363 (0.1532) loss_lansim: 0.1212 (0.1134) loss_contra: 0.0002 (0.0198) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [5] [4830/5278] eta: 0:18:56 lr: 4.329317522436255e-05 loss: 0.1239 (0.1416) loss_seg: 0.1360 (0.1531) loss_lansim: 0.1199 (0.1135) loss_contra: 0.0002 (0.0198) time: 2.5407 data: 0.0026 max mem: 31671 Epoch: [5] [4840/5278] eta: 0:18:30 lr: 4.329100934428552e-05 loss: 0.1239 (0.1417) loss_seg: 0.1363 (0.1532) loss_lansim: 0.1189 (0.1135) loss_contra: 0.0002 (0.0198) time: 2.5450 data: 0.0026 max mem: 31671 Epoch: [5] [4850/5278] eta: 0:18:05 lr: 4.328884345216836e-05 loss: 0.1239 (0.1416) loss_seg: 0.1360 (0.1531) loss_lansim: 0.1189 (0.1135) loss_contra: 0.0002 (0.0198) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [5] [4860/5278] eta: 0:17:40 lr: 4.328667754801034e-05 loss: 0.1239 (0.1417) loss_seg: 0.1359 (0.1532) loss_lansim: 0.1198 (0.1135) loss_contra: 0.0002 (0.0198) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [5] [4870/5278] eta: 0:17:14 lr: 4.328451163181072e-05 loss: 0.1262 (0.1417) loss_seg: 0.1363 (0.1532) loss_lansim: 0.1184 (0.1135) loss_contra: 0.0002 (0.0198) time: 2.5554 data: 0.0025 max mem: 31671 Epoch: [5] [4880/5278] eta: 0:16:49 lr: 4.328234570356877e-05 loss: 0.1269 (0.1417) loss_seg: 0.1378 (0.1532) loss_lansim: 0.1175 (0.1135) loss_contra: 0.0002 (0.0197) time: 2.5544 data: 0.0025 max mem: 31671 Epoch: [5] [4890/5278] eta: 0:16:24 lr: 4.328017976328374e-05 loss: 0.1341 (0.1417) loss_seg: 0.1436 (0.1533) loss_lansim: 0.1196 (0.1136) loss_contra: 0.0002 (0.0197) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [5] [4900/5278] eta: 0:15:58 lr: 4.327801381095491e-05 loss: 0.1341 (0.1418) loss_seg: 0.1444 (0.1533) loss_lansim: 0.1199 (0.1136) loss_contra: 0.0002 (0.0197) time: 2.5620 data: 0.0025 max mem: 31671 Epoch: [5] [4910/5278] eta: 0:15:33 lr: 4.327584784658153e-05 loss: 0.1301 (0.1417) loss_seg: 0.1436 (0.1532) loss_lansim: 0.1205 (0.1136) loss_contra: 0.0003 (0.0197) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [5] [4920/5278] eta: 0:15:08 lr: 4.327368187016288e-05 loss: 0.1301 (0.1418) loss_seg: 0.1436 (0.1533) loss_lansim: 0.1219 (0.1137) loss_contra: 0.0003 (0.0196) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [5] [4930/5278] eta: 0:14:42 lr: 4.32715158816982e-05 loss: 0.1335 (0.1418) loss_seg: 0.1452 (0.1533) loss_lansim: 0.1232 (0.1137) loss_contra: 0.0002 (0.0196) time: 2.5695 data: 0.0025 max mem: 31671 Epoch: [5] [4940/5278] eta: 0:14:17 lr: 4.326934988118677e-05 loss: 0.1284 (0.1417) loss_seg: 0.1410 (0.1533) loss_lansim: 0.1237 (0.1138) loss_contra: 0.0001 (0.0196) time: 2.5674 data: 0.0025 max mem: 31671 Epoch: [5] [4950/5278] eta: 0:13:52 lr: 4.3267183868627854e-05 loss: 0.1284 (0.1418) loss_seg: 0.1410 (0.1533) loss_lansim: 0.1268 (0.1138) loss_contra: 0.0001 (0.0195) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [5] [4960/5278] eta: 0:13:26 lr: 4.32650178440207e-05 loss: 0.1301 (0.1418) loss_seg: 0.1423 (0.1533) loss_lansim: 0.1276 (0.1139) loss_contra: 0.0002 (0.0195) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [5] [4970/5278] eta: 0:13:01 lr: 4.326285180736458e-05 loss: 0.1269 (0.1418) loss_seg: 0.1372 (0.1534) loss_lansim: 0.1296 (0.1139) loss_contra: 0.0001 (0.0195) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [5] [4980/5278] eta: 0:12:35 lr: 4.326068575865876e-05 loss: 0.1311 (0.1418) loss_seg: 0.1444 (0.1534) loss_lansim: 0.1342 (0.1140) loss_contra: 0.0002 (0.0195) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [5] [4990/5278] eta: 0:12:10 lr: 4.3258519697902495e-05 loss: 0.1325 (0.1419) loss_seg: 0.1457 (0.1534) loss_lansim: 0.1348 (0.1140) loss_contra: 0.0002 (0.0195) time: 2.5417 data: 0.0026 max mem: 31671 Epoch: [5] [5000/5278] eta: 0:11:45 lr: 4.325635362509506e-05 loss: 0.1335 (0.1419) loss_seg: 0.1472 (0.1535) loss_lansim: 0.1350 (0.1141) loss_contra: 0.0001 (0.0196) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [5] [5010/5278] eta: 0:11:19 lr: 4.3254187540235704e-05 loss: 0.1470 (0.1419) loss_seg: 0.1545 (0.1535) loss_lansim: 0.1383 (0.1142) loss_contra: 0.0002 (0.0197) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [5] [5020/5278] eta: 0:10:54 lr: 4.3252021443323685e-05 loss: 0.1356 (0.1419) loss_seg: 0.1474 (0.1535) loss_lansim: 0.1410 (0.1143) loss_contra: 0.0002 (0.0198) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [5] [5030/5278] eta: 0:10:29 lr: 4.324985533435829e-05 loss: 0.1378 (0.1420) loss_seg: 0.1526 (0.1535) loss_lansim: 0.1439 (0.1144) loss_contra: 0.0004 (0.0200) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [5] [5040/5278] eta: 0:10:03 lr: 4.324768921333875e-05 loss: 0.1399 (0.1420) loss_seg: 0.1545 (0.1535) loss_lansim: 0.1477 (0.1144) loss_contra: 0.0004 (0.0200) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [5] [5050/5278] eta: 0:09:38 lr: 4.3245523080264355e-05 loss: 0.1470 (0.1421) loss_seg: 0.1598 (0.1536) loss_lansim: 0.1445 (0.1145) loss_contra: 0.0006 (0.0199) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [5] [5060/5278] eta: 0:09:13 lr: 4.324335693513435e-05 loss: 0.1424 (0.1420) loss_seg: 0.1552 (0.1536) loss_lansim: 0.1439 (0.1145) loss_contra: 0.0006 (0.0200) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [5] [5070/5278] eta: 0:08:47 lr: 4.3241190777948006e-05 loss: 0.1407 (0.1420) loss_seg: 0.1529 (0.1536) loss_lansim: 0.1439 (0.1146) loss_contra: 0.0006 (0.0200) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [5] [5080/5278] eta: 0:08:22 lr: 4.323902460870458e-05 loss: 0.1372 (0.1420) loss_seg: 0.1487 (0.1536) loss_lansim: 0.1433 (0.1146) loss_contra: 0.0007 (0.0200) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [5] [5090/5278] eta: 0:07:56 lr: 4.323685842740333e-05 loss: 0.1281 (0.1420) loss_seg: 0.1418 (0.1535) loss_lansim: 0.1405 (0.1146) loss_contra: 0.0010 (0.0200) time: 2.5497 data: 0.0024 max mem: 31671 Epoch: [5] [5100/5278] eta: 0:07:31 lr: 4.323469223404352e-05 loss: 0.1278 (0.1420) loss_seg: 0.1415 (0.1535) loss_lansim: 0.1404 (0.1147) loss_contra: 0.0010 (0.0200) time: 2.5656 data: 0.0024 max mem: 31671 Epoch: [5] [5110/5278] eta: 0:07:06 lr: 4.3232526028624416e-05 loss: 0.1300 (0.1420) loss_seg: 0.1416 (0.1535) loss_lansim: 0.1367 (0.1147) loss_contra: 0.0007 (0.0199) time: 2.5596 data: 0.0025 max mem: 31671 Epoch: [5] [5120/5278] eta: 0:06:40 lr: 4.323035981114527e-05 loss: 0.1325 (0.1420) loss_seg: 0.1444 (0.1535) loss_lansim: 0.1326 (0.1147) loss_contra: 0.0007 (0.0199) time: 2.5637 data: 0.0025 max mem: 31671 Epoch: [5] [5130/5278] eta: 0:06:15 lr: 4.322819358160536e-05 loss: 0.1281 (0.1420) loss_seg: 0.1415 (0.1535) loss_lansim: 0.1289 (0.1147) loss_contra: 0.0007 (0.0199) time: 2.5692 data: 0.0025 max mem: 31671 Epoch: [5] [5140/5278] eta: 0:05:50 lr: 4.322602734000394e-05 loss: 0.1300 (0.1420) loss_seg: 0.1415 (0.1535) loss_lansim: 0.1257 (0.1147) loss_contra: 0.0007 (0.0199) time: 2.5707 data: 0.0025 max mem: 31671 Epoch: [5] [5150/5278] eta: 0:05:24 lr: 4.322386108634026e-05 loss: 0.1300 (0.1420) loss_seg: 0.1415 (0.1535) loss_lansim: 0.1256 (0.1147) loss_contra: 0.0006 (0.0199) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [5] [5160/5278] eta: 0:04:59 lr: 4.322169482061359e-05 loss: 0.1281 (0.1420) loss_seg: 0.1412 (0.1535) loss_lansim: 0.1247 (0.1147) loss_contra: 0.0007 (0.0198) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [5] [5170/5278] eta: 0:04:33 lr: 4.3219528542823204e-05 loss: 0.1281 (0.1419) loss_seg: 0.1412 (0.1534) loss_lansim: 0.1227 (0.1148) loss_contra: 0.0007 (0.0198) time: 2.5522 data: 0.0025 max mem: 31671 Epoch: [5] [5180/5278] eta: 0:04:08 lr: 4.3217362252968334e-05 loss: 0.1323 (0.1420) loss_seg: 0.1418 (0.1535) loss_lansim: 0.1227 (0.1148) loss_contra: 0.0006 (0.0198) time: 2.5371 data: 0.0025 max mem: 31671 Epoch: [5] [5190/5278] eta: 0:03:43 lr: 4.321519595104827e-05 loss: 0.1341 (0.1420) loss_seg: 0.1468 (0.1535) loss_lansim: 0.1223 (0.1148) loss_contra: 0.0004 (0.0198) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [5] [5200/5278] eta: 0:03:17 lr: 4.321302963706225e-05 loss: 0.1323 (0.1419) loss_seg: 0.1423 (0.1535) loss_lansim: 0.1218 (0.1148) loss_contra: 0.0004 (0.0197) time: 2.5121 data: 0.0025 max mem: 31671 Epoch: [5] [5210/5278] eta: 0:02:52 lr: 4.321086331100955e-05 loss: 0.1322 (0.1420) loss_seg: 0.1423 (0.1535) loss_lansim: 0.1211 (0.1148) loss_contra: 0.0003 (0.0197) time: 2.5093 data: 0.0025 max mem: 31671 Epoch: [5] [5220/5278] eta: 0:02:27 lr: 4.320869697288942e-05 loss: 0.1275 (0.1419) loss_seg: 0.1394 (0.1534) loss_lansim: 0.1209 (0.1148) loss_contra: 0.0003 (0.0197) time: 2.5131 data: 0.0025 max mem: 31671 Epoch: [5] [5230/5278] eta: 0:02:01 lr: 4.3206530622701126e-05 loss: 0.1275 (0.1419) loss_seg: 0.1394 (0.1534) loss_lansim: 0.1211 (0.1149) loss_contra: 0.0003 (0.0196) time: 2.5084 data: 0.0025 max mem: 31671 Epoch: [5] [5240/5278] eta: 0:01:36 lr: 4.320436426044393e-05 loss: 0.1237 (0.1418) loss_seg: 0.1312 (0.1533) loss_lansim: 0.1211 (0.1149) loss_contra: 0.0003 (0.0196) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [5] [5250/5278] eta: 0:01:11 lr: 4.320219788611709e-05 loss: 0.1175 (0.1418) loss_seg: 0.1300 (0.1533) loss_lansim: 0.1211 (0.1149) loss_contra: 0.0003 (0.0196) time: 2.5155 data: 0.0025 max mem: 31671 Epoch: [5] [5260/5278] eta: 0:00:45 lr: 4.3200031499719865e-05 loss: 0.1169 (0.1418) loss_seg: 0.1294 (0.1533) loss_lansim: 0.1211 (0.1149) loss_contra: 0.0003 (0.0196) time: 2.5195 data: 0.0026 max mem: 31671 Epoch: [5] [5270/5278] eta: 0:00:20 lr: 4.319786510125152e-05 loss: 0.1175 (0.1418) loss_seg: 0.1300 (0.1533) loss_lansim: 0.1209 (0.1149) loss_contra: 0.0003 (0.0195) time: 2.5195 data: 0.0025 max mem: 31671 Epoch: [5] Total time: 3:43:09 Test: [ 0/2573] eta: 1:36:13 time: 2.2439 data: 2.0588 max mem: 31671 Test: [ 100/2573] eta: 0:06:40 time: 0.1413 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:05 time: 0.1458 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:41 time: 0.1421 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:23 time: 0.1449 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:07 time: 0.1459 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:51 time: 0.1457 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1490 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1472 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1475 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1466 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:37 time: 0.1454 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1485 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1473 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1426 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1465 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1465 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1465 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1434 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1422 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1413 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1461 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1406 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1467 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1436 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1469 data: 0.0016 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 54.72 precision@0.6 = 47.67 precision@0.7 = 38.62 precision@0.8 = 27.94 precision@0.9 = 10.93 overall IoU = 49.85 mean IoU = 50.53 Average object IoU 0.5053349828794861 Overall IoU 49.84524674369825 Better epoch: 5 The best_performance is 49.84524674369825 Epoch: [6] [ 0/5278] eta: 6:43:45 lr: 4.319613197378513e-05 loss: 0.1154 (0.1154) loss_seg: 0.1279 (0.1279) loss_lansim: 0.1378 (0.1378) loss_contra: 0.0000 (0.0000) time: 4.5898 data: 1.7848 max mem: 31671 Epoch: [6] [ 10/5278] eta: 4:00:43 lr: 4.31939655535869e-05 loss: 0.1190 (0.1386) loss_seg: 0.1323 (0.1523) loss_lansim: 0.1219 (0.1231) loss_contra: 0.0001 (0.0078) time: 2.7417 data: 0.1632 max mem: 31671 Epoch: [6] [ 20/5278] eta: 3:54:54 lr: 4.319179912131547e-05 loss: 0.1163 (0.1290) loss_seg: 0.1286 (0.1416) loss_lansim: 0.1271 (0.1271) loss_contra: 0.0002 (0.0128) time: 2.6806 data: 0.0862 max mem: 31671 Epoch: [6] [ 30/5278] eta: 3:52:07 lr: 4.31896326769701e-05 loss: 0.1163 (0.1229) loss_seg: 0.1286 (0.1343) loss_lansim: 0.1267 (0.1261) loss_contra: 0.0003 (0.0168) time: 2.6539 data: 0.0592 max mem: 31671 Epoch: [6] [ 40/5278] eta: 3:48:24 lr: 4.3187466220550066e-05 loss: 0.1190 (0.1376) loss_seg: 0.1323 (0.1496) loss_lansim: 0.1246 (0.1252) loss_contra: 0.0002 (0.0145) time: 2.6164 data: 0.0453 max mem: 31671 Epoch: [6] [ 50/5278] eta: 3:45:50 lr: 4.3185299752054606e-05 loss: 0.1234 (0.1441) loss_seg: 0.1368 (0.1570) loss_lansim: 0.1267 (0.1277) loss_contra: 0.0004 (0.0269) time: 2.5918 data: 0.0369 max mem: 31671 Epoch: [6] [ 60/5278] eta: 3:45:37 lr: 4.3183133271483e-05 loss: 0.1212 (0.1424) loss_seg: 0.1348 (0.1552) loss_lansim: 0.1267 (0.1282) loss_contra: 0.0003 (0.0250) time: 2.5944 data: 0.0313 max mem: 31671 Epoch: [6] [ 70/5278] eta: 3:43:31 lr: 4.318096677883449e-05 loss: 0.1190 (0.1379) loss_seg: 0.1323 (0.1501) loss_lansim: 0.1267 (0.1285) loss_contra: 0.0003 (0.0216) time: 2.5752 data: 0.0272 max mem: 31671 Epoch: [6] [ 80/5278] eta: 3:42:10 lr: 4.317880027410834e-05 loss: 0.1190 (0.1391) loss_seg: 0.1323 (0.1514) loss_lansim: 0.1280 (0.1302) loss_contra: 0.0004 (0.0279) time: 2.5646 data: 0.0242 max mem: 31671 Epoch: [6] [ 90/5278] eta: 3:41:40 lr: 4.317663375730381e-05 loss: 0.1166 (0.1378) loss_seg: 0.1297 (0.1496) loss_lansim: 0.1271 (0.1298) loss_contra: 0.0004 (0.0266) time: 2.5636 data: 0.0218 max mem: 31671 Epoch: [6] [ 100/5278] eta: 3:41:27 lr: 4.317446722842017e-05 loss: 0.1163 (0.1362) loss_seg: 0.1286 (0.1479) loss_lansim: 0.1271 (0.1300) loss_contra: 0.0004 (0.0281) time: 2.5459 data: 0.0022 max mem: 31671 Epoch: [6] [ 110/5278] eta: 3:41:06 lr: 4.317230068745666e-05 loss: 0.1151 (0.1336) loss_seg: 0.1267 (0.1452) loss_lansim: 0.1271 (0.1291) loss_contra: 0.0004 (0.0321) time: 2.5478 data: 0.0024 max mem: 31671 Epoch: [6] [ 120/5278] eta: 3:40:32 lr: 4.3170134134412556e-05 loss: 0.1152 (0.1340) loss_seg: 0.1277 (0.1455) loss_lansim: 0.1255 (0.1284) loss_contra: 0.0006 (0.0300) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [6] [ 130/5278] eta: 3:39:25 lr: 4.316796756928712e-05 loss: 0.1161 (0.1336) loss_seg: 0.1277 (0.1452) loss_lansim: 0.1245 (0.1278) loss_contra: 0.0006 (0.0280) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [6] [ 140/5278] eta: 3:38:37 lr: 4.316580099207959e-05 loss: 0.1142 (0.1333) loss_seg: 0.1242 (0.1449) loss_lansim: 0.1234 (0.1268) loss_contra: 0.0006 (0.0277) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [6] [ 150/5278] eta: 3:37:54 lr: 4.316363440278923e-05 loss: 0.1131 (0.1328) loss_seg: 0.1242 (0.1442) loss_lansim: 0.1225 (0.1265) loss_contra: 0.0006 (0.0263) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [6] [ 160/5278] eta: 3:36:57 lr: 4.316146780141532e-05 loss: 0.1093 (0.1332) loss_seg: 0.1201 (0.1444) loss_lansim: 0.1211 (0.1261) loss_contra: 0.0006 (0.0254) time: 2.5124 data: 0.0026 max mem: 31671 Epoch: [6] [ 170/5278] eta: 3:36:54 lr: 4.3159301187957093e-05 loss: 0.1084 (0.1308) loss_seg: 0.1169 (0.1419) loss_lansim: 0.1190 (0.1251) loss_contra: 0.0006 (0.0267) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [6] [ 180/5278] eta: 3:36:33 lr: 4.315713456241382e-05 loss: 0.1093 (0.1312) loss_seg: 0.1206 (0.1424) loss_lansim: 0.1174 (0.1249) loss_contra: 0.0003 (0.0253) time: 2.5359 data: 0.0026 max mem: 31671 Epoch: [6] [ 190/5278] eta: 3:36:01 lr: 4.315496792478475e-05 loss: 0.1119 (0.1304) loss_seg: 0.1211 (0.1414) loss_lansim: 0.1175 (0.1252) loss_contra: 0.0003 (0.0243) time: 2.5329 data: 0.0026 max mem: 31671 Epoch: [6] [ 200/5278] eta: 3:35:24 lr: 4.315280127506916e-05 loss: 0.1119 (0.1292) loss_seg: 0.1206 (0.1400) loss_lansim: 0.1174 (0.1258) loss_contra: 0.0005 (0.0233) time: 2.5240 data: 0.0026 max mem: 31671 Epoch: [6] [ 210/5278] eta: 3:34:57 lr: 4.3150634613266294e-05 loss: 0.1131 (0.1303) loss_seg: 0.1215 (0.1411) loss_lansim: 0.1175 (0.1254) loss_contra: 0.0005 (0.0223) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [6] [ 220/5278] eta: 3:34:48 lr: 4.314846793937541e-05 loss: 0.1150 (0.1306) loss_seg: 0.1223 (0.1414) loss_lansim: 0.1174 (0.1250) loss_contra: 0.0004 (0.0218) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [6] [ 230/5278] eta: 3:34:27 lr: 4.3146301253395774e-05 loss: 0.1150 (0.1324) loss_seg: 0.1223 (0.1433) loss_lansim: 0.1181 (0.1252) loss_contra: 0.0004 (0.0211) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [6] [ 240/5278] eta: 3:33:54 lr: 4.314413455532664e-05 loss: 0.1234 (0.1356) loss_seg: 0.1315 (0.1465) loss_lansim: 0.1192 (0.1251) loss_contra: 0.0005 (0.0208) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [6] [ 250/5278] eta: 3:33:16 lr: 4.3141967845167257e-05 loss: 0.1185 (0.1358) loss_seg: 0.1277 (0.1466) loss_lansim: 0.1206 (0.1252) loss_contra: 0.0005 (0.0202) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [6] [ 260/5278] eta: 3:32:44 lr: 4.31398011229169e-05 loss: 0.1234 (0.1361) loss_seg: 0.1315 (0.1471) loss_lansim: 0.1205 (0.1248) loss_contra: 0.0006 (0.0196) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [6] [ 270/5278] eta: 3:32:31 lr: 4.313763438857481e-05 loss: 0.1185 (0.1345) loss_seg: 0.1300 (0.1453) loss_lansim: 0.1205 (0.1243) loss_contra: 0.0006 (0.0190) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [6] [ 280/5278] eta: 3:32:12 lr: 4.313546764214026e-05 loss: 0.1173 (0.1358) loss_seg: 0.1245 (0.1465) loss_lansim: 0.1204 (0.1241) loss_contra: 0.0008 (0.0194) time: 2.5455 data: 0.0025 max mem: 31671 Epoch: [6] [ 290/5278] eta: 3:31:43 lr: 4.31333008836125e-05 loss: 0.1150 (0.1343) loss_seg: 0.1241 (0.1448) loss_lansim: 0.1204 (0.1239) loss_contra: 0.0008 (0.0191) time: 2.5454 data: 0.0025 max mem: 31671 Epoch: [6] [ 300/5278] eta: 3:31:17 lr: 4.3131134112990784e-05 loss: 0.1173 (0.1345) loss_seg: 0.1251 (0.1449) loss_lansim: 0.1196 (0.1236) loss_contra: 0.0007 (0.0189) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [6] [ 310/5278] eta: 3:30:53 lr: 4.312896733027437e-05 loss: 0.1171 (0.1337) loss_seg: 0.1245 (0.1441) loss_lansim: 0.1173 (0.1230) loss_contra: 0.0009 (0.0187) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [6] [ 320/5278] eta: 3:30:43 lr: 4.3126800535462525e-05 loss: 0.1141 (0.1334) loss_seg: 0.1241 (0.1439) loss_lansim: 0.1171 (0.1225) loss_contra: 0.0008 (0.0192) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [6] [ 330/5278] eta: 3:30:19 lr: 4.3124633728554506e-05 loss: 0.1119 (0.1329) loss_seg: 0.1230 (0.1434) loss_lansim: 0.1161 (0.1222) loss_contra: 0.0008 (0.0217) time: 2.5536 data: 0.0025 max mem: 31671 Epoch: [6] [ 340/5278] eta: 3:29:53 lr: 4.3122466909549555e-05 loss: 0.1122 (0.1334) loss_seg: 0.1231 (0.1439) loss_lansim: 0.1151 (0.1219) loss_contra: 0.0006 (0.0212) time: 2.5575 data: 0.0025 max mem: 31671 Epoch: [6] [ 350/5278] eta: 3:29:41 lr: 4.3120300078446934e-05 loss: 0.1139 (0.1330) loss_seg: 0.1230 (0.1435) loss_lansim: 0.1151 (0.1223) loss_contra: 0.0006 (0.0210) time: 2.5734 data: 0.0025 max mem: 31671 Epoch: [6] [ 360/5278] eta: 3:29:22 lr: 4.311813323524591e-05 loss: 0.1071 (0.1326) loss_seg: 0.1181 (0.1431) loss_lansim: 0.1158 (0.1223) loss_contra: 0.0006 (0.0205) time: 2.5823 data: 0.0025 max mem: 31671 Epoch: [6] [ 370/5278] eta: 3:28:54 lr: 4.311596637994574e-05 loss: 0.1070 (0.1322) loss_seg: 0.1157 (0.1426) loss_lansim: 0.1161 (0.1220) loss_contra: 0.0003 (0.0200) time: 2.5743 data: 0.0025 max mem: 31671 Epoch: [6] [ 380/5278] eta: 3:28:30 lr: 4.311379951254566e-05 loss: 0.1074 (0.1321) loss_seg: 0.1183 (0.1425) loss_lansim: 0.1169 (0.1219) loss_contra: 0.0002 (0.0196) time: 2.5732 data: 0.0025 max mem: 31671 Epoch: [6] [ 390/5278] eta: 3:28:14 lr: 4.311163263304495e-05 loss: 0.1074 (0.1314) loss_seg: 0.1188 (0.1417) loss_lansim: 0.1169 (0.1219) loss_contra: 0.0002 (0.0191) time: 2.5837 data: 0.0025 max mem: 31671 Epoch: [6] [ 400/5278] eta: 3:27:46 lr: 4.310946574144286e-05 loss: 0.1062 (0.1310) loss_seg: 0.1157 (0.1414) loss_lansim: 0.1162 (0.1217) loss_contra: 0.0002 (0.0188) time: 2.5829 data: 0.0025 max mem: 31671 Epoch: [6] [ 410/5278] eta: 3:27:22 lr: 4.310729883773864e-05 loss: 0.1062 (0.1313) loss_seg: 0.1157 (0.1417) loss_lansim: 0.1174 (0.1216) loss_contra: 0.0002 (0.0184) time: 2.5840 data: 0.0025 max mem: 31671 Epoch: [6] [ 420/5278] eta: 3:26:52 lr: 4.310513192193155e-05 loss: 0.1070 (0.1311) loss_seg: 0.1176 (0.1416) loss_lansim: 0.1174 (0.1213) loss_contra: 0.0002 (0.0181) time: 2.5711 data: 0.0025 max mem: 31671 Epoch: [6] [ 430/5278] eta: 3:26:24 lr: 4.310296499402085e-05 loss: 0.1070 (0.1311) loss_seg: 0.1176 (0.1416) loss_lansim: 0.1174 (0.1210) loss_contra: 0.0002 (0.0182) time: 2.5681 data: 0.0025 max mem: 31671 Epoch: [6] [ 440/5278] eta: 3:25:57 lr: 4.31007980540058e-05 loss: 0.1042 (0.1307) loss_seg: 0.1140 (0.1411) loss_lansim: 0.1174 (0.1209) loss_contra: 0.0003 (0.0179) time: 2.5677 data: 0.0025 max mem: 31671 Epoch: [6] [ 450/5278] eta: 3:25:38 lr: 4.309863110188564e-05 loss: 0.1062 (0.1318) loss_seg: 0.1155 (0.1423) loss_lansim: 0.1174 (0.1210) loss_contra: 0.0002 (0.0179) time: 2.5644 data: 0.0024 max mem: 31671 Epoch: [6] [ 460/5278] eta: 3:24:58 lr: 4.3096464137659643e-05 loss: 0.1062 (0.1317) loss_seg: 0.1155 (0.1422) loss_lansim: 0.1144 (0.1208) loss_contra: 0.0002 (0.0176) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [6] [ 470/5278] eta: 3:24:34 lr: 4.309429716132705e-05 loss: 0.1111 (0.1311) loss_seg: 0.1198 (0.1415) loss_lansim: 0.1144 (0.1207) loss_contra: 0.0003 (0.0173) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [6] [ 480/5278] eta: 3:24:11 lr: 4.309213017288713e-05 loss: 0.1125 (0.1313) loss_seg: 0.1202 (0.1416) loss_lansim: 0.1141 (0.1206) loss_contra: 0.0004 (0.0182) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [6] [ 490/5278] eta: 3:23:41 lr: 4.3089963172339134e-05 loss: 0.1189 (0.1315) loss_seg: 0.1255 (0.1419) loss_lansim: 0.1137 (0.1206) loss_contra: 0.0004 (0.0180) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [6] [ 500/5278] eta: 3:23:15 lr: 4.308779615968232e-05 loss: 0.1212 (0.1319) loss_seg: 0.1292 (0.1423) loss_lansim: 0.1126 (0.1203) loss_contra: 0.0005 (0.0190) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [6] [ 510/5278] eta: 3:22:44 lr: 4.308562913491594e-05 loss: 0.1212 (0.1331) loss_seg: 0.1301 (0.1435) loss_lansim: 0.1113 (0.1202) loss_contra: 0.0005 (0.0188) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [6] [ 520/5278] eta: 3:22:14 lr: 4.308346209803925e-05 loss: 0.1189 (0.1326) loss_seg: 0.1274 (0.1430) loss_lansim: 0.1114 (0.1199) loss_contra: 0.0006 (0.0186) time: 2.5303 data: 0.0026 max mem: 31671 Epoch: [6] [ 530/5278] eta: 3:21:47 lr: 4.3081295049051505e-05 loss: 0.1212 (0.1324) loss_seg: 0.1301 (0.1428) loss_lansim: 0.1114 (0.1198) loss_contra: 0.0005 (0.0183) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [6] [ 540/5278] eta: 3:21:15 lr: 4.307912798795196e-05 loss: 0.1212 (0.1324) loss_seg: 0.1301 (0.1427) loss_lansim: 0.1101 (0.1195) loss_contra: 0.0006 (0.0188) time: 2.5234 data: 0.0026 max mem: 31671 Epoch: [6] [ 550/5278] eta: 3:20:54 lr: 4.307696091473988e-05 loss: 0.1125 (0.1318) loss_seg: 0.1240 (0.1420) loss_lansim: 0.1092 (0.1192) loss_contra: 0.0004 (0.0186) time: 2.5227 data: 0.0026 max mem: 31671 Epoch: [6] [ 560/5278] eta: 3:20:29 lr: 4.30747938294145e-05 loss: 0.1147 (0.1317) loss_seg: 0.1263 (0.1420) loss_lansim: 0.1095 (0.1192) loss_contra: 0.0004 (0.0187) time: 2.5364 data: 0.0026 max mem: 31671 Epoch: [6] [ 570/5278] eta: 3:20:07 lr: 4.3072626731975105e-05 loss: 0.1161 (0.1323) loss_seg: 0.1274 (0.1427) loss_lansim: 0.1092 (0.1190) loss_contra: 0.0004 (0.0184) time: 2.5385 data: 0.0026 max mem: 31671 Epoch: [6] [ 580/5278] eta: 3:19:40 lr: 4.307045962242092e-05 loss: 0.1151 (0.1323) loss_seg: 0.1272 (0.1427) loss_lansim: 0.1092 (0.1188) loss_contra: 0.0004 (0.0187) time: 2.5347 data: 0.0026 max mem: 31671 Epoch: [6] [ 590/5278] eta: 3:19:13 lr: 4.3068292500751215e-05 loss: 0.1126 (0.1324) loss_seg: 0.1251 (0.1428) loss_lansim: 0.1067 (0.1186) loss_contra: 0.0004 (0.0184) time: 2.5376 data: 0.0026 max mem: 31671 Epoch: [6] [ 600/5278] eta: 3:18:45 lr: 4.306612536696524e-05 loss: 0.1111 (0.1320) loss_seg: 0.1204 (0.1424) loss_lansim: 0.1094 (0.1186) loss_contra: 0.0004 (0.0182) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [6] [ 610/5278] eta: 3:18:19 lr: 4.306395822106225e-05 loss: 0.1111 (0.1320) loss_seg: 0.1197 (0.1423) loss_lansim: 0.1052 (0.1183) loss_contra: 0.0006 (0.0182) time: 2.5382 data: 0.0026 max mem: 31671 Epoch: [6] [ 620/5278] eta: 3:17:56 lr: 4.3061791063041515e-05 loss: 0.1146 (0.1321) loss_seg: 0.1251 (0.1426) loss_lansim: 0.1052 (0.1180) loss_contra: 0.0004 (0.0179) time: 2.5461 data: 0.0026 max mem: 31671 Epoch: [6] [ 630/5278] eta: 3:17:25 lr: 4.305962389290226e-05 loss: 0.1161 (0.1323) loss_seg: 0.1268 (0.1428) loss_lansim: 0.1041 (0.1178) loss_contra: 0.0004 (0.0176) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [6] [ 640/5278] eta: 3:17:00 lr: 4.305745671064377e-05 loss: 0.1202 (0.1322) loss_seg: 0.1274 (0.1426) loss_lansim: 0.1040 (0.1176) loss_contra: 0.0004 (0.0179) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [6] [ 650/5278] eta: 3:16:31 lr: 4.305528951626528e-05 loss: 0.1218 (0.1322) loss_seg: 0.1317 (0.1426) loss_lansim: 0.1047 (0.1175) loss_contra: 0.0007 (0.0177) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [6] [ 660/5278] eta: 3:16:00 lr: 4.305312230976605e-05 loss: 0.1237 (0.1319) loss_seg: 0.1338 (0.1423) loss_lansim: 0.1042 (0.1174) loss_contra: 0.0004 (0.0177) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [6] [ 670/5278] eta: 3:15:39 lr: 4.3050955091145335e-05 loss: 0.1218 (0.1317) loss_seg: 0.1309 (0.1420) loss_lansim: 0.1040 (0.1171) loss_contra: 0.0004 (0.0174) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [6] [ 680/5278] eta: 3:15:14 lr: 4.3048787860402385e-05 loss: 0.1218 (0.1319) loss_seg: 0.1317 (0.1422) loss_lansim: 0.1041 (0.1170) loss_contra: 0.0004 (0.0172) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [6] [ 690/5278] eta: 3:14:54 lr: 4.304662061753646e-05 loss: 0.1224 (0.1322) loss_seg: 0.1330 (0.1425) loss_lansim: 0.1040 (0.1168) loss_contra: 0.0004 (0.0170) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [6] [ 700/5278] eta: 3:14:24 lr: 4.304445336254681e-05 loss: 0.1266 (0.1326) loss_seg: 0.1348 (0.1429) loss_lansim: 0.1031 (0.1167) loss_contra: 0.0004 (0.0168) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [6] [ 710/5278] eta: 3:13:49 lr: 4.3042286095432696e-05 loss: 0.1243 (0.1323) loss_seg: 0.1330 (0.1426) loss_lansim: 0.1031 (0.1166) loss_contra: 0.0003 (0.0167) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [6] [ 720/5278] eta: 3:13:22 lr: 4.3040118816193356e-05 loss: 0.1218 (0.1322) loss_seg: 0.1262 (0.1426) loss_lansim: 0.1026 (0.1164) loss_contra: 0.0003 (0.0165) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [6] [ 730/5278] eta: 3:12:56 lr: 4.303795152482807e-05 loss: 0.1221 (0.1328) loss_seg: 0.1330 (0.1433) loss_lansim: 0.1031 (0.1162) loss_contra: 0.0004 (0.0163) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [6] [ 740/5278] eta: 3:12:29 lr: 4.303578422133606e-05 loss: 0.1224 (0.1330) loss_seg: 0.1330 (0.1435) loss_lansim: 0.1041 (0.1161) loss_contra: 0.0003 (0.0161) time: 2.5229 data: 0.0026 max mem: 31671 Epoch: [6] [ 750/5278] eta: 3:12:04 lr: 4.30336169057166e-05 loss: 0.1313 (0.1333) loss_seg: 0.1359 (0.1439) loss_lansim: 0.1041 (0.1160) loss_contra: 0.0003 (0.0160) time: 2.5280 data: 0.0026 max mem: 31671 Epoch: [6] [ 760/5278] eta: 3:11:35 lr: 4.3031449577968944e-05 loss: 0.1339 (0.1333) loss_seg: 0.1415 (0.1439) loss_lansim: 0.1042 (0.1160) loss_contra: 0.0004 (0.0161) time: 2.5280 data: 0.0026 max mem: 31671 Epoch: [6] [ 770/5278] eta: 3:11:11 lr: 4.302928223809233e-05 loss: 0.1339 (0.1333) loss_seg: 0.1458 (0.1439) loss_lansim: 0.1045 (0.1159) loss_contra: 0.0003 (0.0159) time: 2.5256 data: 0.0026 max mem: 31671 Epoch: [6] [ 780/5278] eta: 3:10:44 lr: 4.302711488608604e-05 loss: 0.1311 (0.1332) loss_seg: 0.1388 (0.1438) loss_lansim: 0.1042 (0.1157) loss_contra: 0.0003 (0.0161) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [6] [ 790/5278] eta: 3:10:22 lr: 4.302494752194929e-05 loss: 0.1278 (0.1330) loss_seg: 0.1381 (0.1436) loss_lansim: 0.1042 (0.1156) loss_contra: 0.0003 (0.0159) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [6] [ 800/5278] eta: 3:09:54 lr: 4.3022780145681355e-05 loss: 0.1294 (0.1333) loss_seg: 0.1388 (0.1439) loss_lansim: 0.1045 (0.1156) loss_contra: 0.0004 (0.0160) time: 2.5212 data: 0.0026 max mem: 31671 Epoch: [6] [ 810/5278] eta: 3:09:31 lr: 4.302061275728149e-05 loss: 0.1278 (0.1333) loss_seg: 0.1388 (0.1439) loss_lansim: 0.1048 (0.1155) loss_contra: 0.0004 (0.0159) time: 2.5384 data: 0.0026 max mem: 31671 Epoch: [6] [ 820/5278] eta: 3:09:00 lr: 4.301844535674894e-05 loss: 0.1305 (0.1333) loss_seg: 0.1395 (0.1440) loss_lansim: 0.1066 (0.1154) loss_contra: 0.0004 (0.0158) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [6] [ 830/5278] eta: 3:08:31 lr: 4.301627794408297e-05 loss: 0.1214 (0.1330) loss_seg: 0.1323 (0.1437) loss_lansim: 0.1075 (0.1153) loss_contra: 0.0004 (0.0158) time: 2.5263 data: 0.0026 max mem: 31671 Epoch: [6] [ 840/5278] eta: 3:08:04 lr: 4.301411051928281e-05 loss: 0.1214 (0.1333) loss_seg: 0.1306 (0.1439) loss_lansim: 0.1075 (0.1152) loss_contra: 0.0004 (0.0156) time: 2.5248 data: 0.0026 max mem: 31671 Epoch: [6] [ 850/5278] eta: 3:07:41 lr: 4.3011943082347735e-05 loss: 0.1174 (0.1331) loss_seg: 0.1241 (0.1438) loss_lansim: 0.1078 (0.1153) loss_contra: 0.0003 (0.0155) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [6] [ 860/5278] eta: 3:07:13 lr: 4.300977563327699e-05 loss: 0.1174 (0.1339) loss_seg: 0.1241 (0.1447) loss_lansim: 0.1095 (0.1153) loss_contra: 0.0003 (0.0155) time: 2.5311 data: 0.0026 max mem: 31671 Epoch: [6] [ 870/5278] eta: 3:06:46 lr: 4.300760817206982e-05 loss: 0.1208 (0.1339) loss_seg: 0.1253 (0.1448) loss_lansim: 0.1101 (0.1152) loss_contra: 0.0003 (0.0156) time: 2.5247 data: 0.0026 max mem: 31671 Epoch: [6] [ 880/5278] eta: 3:06:22 lr: 4.300544069872548e-05 loss: 0.1208 (0.1338) loss_seg: 0.1253 (0.1446) loss_lansim: 0.1104 (0.1151) loss_contra: 0.0003 (0.0158) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [6] [ 890/5278] eta: 3:05:57 lr: 4.3003273213243236e-05 loss: 0.1208 (0.1336) loss_seg: 0.1241 (0.1444) loss_lansim: 0.1104 (0.1149) loss_contra: 0.0005 (0.0157) time: 2.5232 data: 0.0026 max mem: 31671 Epoch: [6] [ 900/5278] eta: 3:05:30 lr: 4.300110571562232e-05 loss: 0.1150 (0.1333) loss_seg: 0.1226 (0.1441) loss_lansim: 0.1104 (0.1148) loss_contra: 0.0002 (0.0156) time: 2.5240 data: 0.0026 max mem: 31671 Epoch: [6] [ 910/5278] eta: 3:05:01 lr: 4.2998938205862e-05 loss: 0.1104 (0.1330) loss_seg: 0.1212 (0.1438) loss_lansim: 0.1104 (0.1147) loss_contra: 0.0002 (0.0154) time: 2.5138 data: 0.0026 max mem: 31671 Epoch: [6] [ 920/5278] eta: 3:04:35 lr: 4.2996770683961527e-05 loss: 0.1104 (0.1332) loss_seg: 0.1213 (0.1440) loss_lansim: 0.1104 (0.1147) loss_contra: 0.0002 (0.0152) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [6] [ 930/5278] eta: 3:04:13 lr: 4.299460314992015e-05 loss: 0.1193 (0.1337) loss_seg: 0.1241 (0.1445) loss_lansim: 0.1104 (0.1146) loss_contra: 0.0003 (0.0152) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [6] [ 940/5278] eta: 3:03:47 lr: 4.299243560373711e-05 loss: 0.1193 (0.1337) loss_seg: 0.1300 (0.1445) loss_lansim: 0.1104 (0.1147) loss_contra: 0.0003 (0.0152) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [6] [ 950/5278] eta: 3:03:19 lr: 4.299026804541168e-05 loss: 0.1239 (0.1338) loss_seg: 0.1315 (0.1446) loss_lansim: 0.1105 (0.1148) loss_contra: 0.0003 (0.0152) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [6] [ 960/5278] eta: 3:02:54 lr: 4.2988100474943086e-05 loss: 0.1227 (0.1338) loss_seg: 0.1318 (0.1445) loss_lansim: 0.1119 (0.1150) loss_contra: 0.0003 (0.0151) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [6] [ 970/5278] eta: 3:02:27 lr: 4.298593289233061e-05 loss: 0.1214 (0.1338) loss_seg: 0.1313 (0.1445) loss_lansim: 0.1124 (0.1151) loss_contra: 0.0003 (0.0150) time: 2.5300 data: 0.0026 max mem: 31671 Epoch: [6] [ 980/5278] eta: 3:02:02 lr: 4.2983765297573467e-05 loss: 0.1227 (0.1338) loss_seg: 0.1318 (0.1445) loss_lansim: 0.1134 (0.1152) loss_contra: 0.0003 (0.0148) time: 2.5292 data: 0.0026 max mem: 31671 Epoch: [6] [ 990/5278] eta: 3:01:39 lr: 4.298159769067095e-05 loss: 0.1227 (0.1339) loss_seg: 0.1345 (0.1447) loss_lansim: 0.1164 (0.1152) loss_contra: 0.0002 (0.0156) time: 2.5337 data: 0.0026 max mem: 31671 Epoch: [6] [1000/5278] eta: 3:01:15 lr: 4.297943007162228e-05 loss: 0.1308 (0.1342) loss_seg: 0.1396 (0.1450) loss_lansim: 0.1178 (0.1153) loss_contra: 0.0002 (0.0155) time: 2.5406 data: 0.0026 max mem: 31671 Epoch: [6] [1010/5278] eta: 3:00:49 lr: 4.2977262440426716e-05 loss: 0.1373 (0.1345) loss_seg: 0.1453 (0.1453) loss_lansim: 0.1193 (0.1154) loss_contra: 0.0002 (0.0154) time: 2.5471 data: 0.0026 max mem: 31671 Epoch: [6] [1020/5278] eta: 3:00:26 lr: 4.297509479708351e-05 loss: 0.1360 (0.1346) loss_seg: 0.1432 (0.1454) loss_lansim: 0.1201 (0.1155) loss_contra: 0.0003 (0.0153) time: 2.5537 data: 0.0026 max mem: 31671 Epoch: [6] [1030/5278] eta: 3:00:01 lr: 4.2972927141591915e-05 loss: 0.1287 (0.1344) loss_seg: 0.1361 (0.1453) loss_lansim: 0.1208 (0.1155) loss_contra: 0.0002 (0.0152) time: 2.5479 data: 0.0026 max mem: 31671 Epoch: [6] [1040/5278] eta: 2:59:36 lr: 4.297075947395118e-05 loss: 0.1221 (0.1341) loss_seg: 0.1345 (0.1449) loss_lansim: 0.1208 (0.1156) loss_contra: 0.0002 (0.0151) time: 2.5501 data: 0.0026 max mem: 31671 Epoch: [6] [1050/5278] eta: 2:59:11 lr: 4.296859179416056e-05 loss: 0.1178 (0.1342) loss_seg: 0.1306 (0.1450) loss_lansim: 0.1198 (0.1157) loss_contra: 0.0003 (0.0152) time: 2.5558 data: 0.0026 max mem: 31671 Epoch: [6] [1060/5278] eta: 2:58:43 lr: 4.2966424102219294e-05 loss: 0.1178 (0.1342) loss_seg: 0.1306 (0.1450) loss_lansim: 0.1198 (0.1158) loss_contra: 0.0003 (0.0151) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [6] [1070/5278] eta: 2:58:17 lr: 4.296425639812666e-05 loss: 0.1161 (0.1341) loss_seg: 0.1288 (0.1449) loss_lansim: 0.1201 (0.1160) loss_contra: 0.0003 (0.0152) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [6] [1080/5278] eta: 2:57:50 lr: 4.2962088681881865e-05 loss: 0.1178 (0.1342) loss_seg: 0.1306 (0.1450) loss_lansim: 0.1201 (0.1162) loss_contra: 0.0003 (0.0151) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [6] [1090/5278] eta: 2:57:24 lr: 4.29599209534842e-05 loss: 0.1219 (0.1342) loss_seg: 0.1324 (0.1451) loss_lansim: 0.1207 (0.1163) loss_contra: 0.0003 (0.0153) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [6] [1100/5278] eta: 2:56:58 lr: 4.29577532129329e-05 loss: 0.1161 (0.1342) loss_seg: 0.1265 (0.1451) loss_lansim: 0.1240 (0.1164) loss_contra: 0.0003 (0.0152) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [6] [1110/5278] eta: 2:56:31 lr: 4.295558546022721e-05 loss: 0.1161 (0.1343) loss_seg: 0.1265 (0.1452) loss_lansim: 0.1240 (0.1165) loss_contra: 0.0003 (0.0154) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [6] [1120/5278] eta: 2:56:08 lr: 4.295341769536639e-05 loss: 0.1132 (0.1345) loss_seg: 0.1248 (0.1454) loss_lansim: 0.1226 (0.1165) loss_contra: 0.0003 (0.0153) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [6] [1130/5278] eta: 2:55:39 lr: 4.295124991834968e-05 loss: 0.1219 (0.1349) loss_seg: 0.1306 (0.1459) loss_lansim: 0.1261 (0.1167) loss_contra: 0.0004 (0.0155) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [6] [1140/5278] eta: 2:55:15 lr: 4.294908212917634e-05 loss: 0.1219 (0.1349) loss_seg: 0.1324 (0.1459) loss_lansim: 0.1258 (0.1168) loss_contra: 0.0004 (0.0155) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [6] [1150/5278] eta: 2:54:50 lr: 4.2946914327845626e-05 loss: 0.1240 (0.1354) loss_seg: 0.1356 (0.1464) loss_lansim: 0.1273 (0.1169) loss_contra: 0.0004 (0.0154) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [6] [1160/5278] eta: 2:54:23 lr: 4.294474651435677e-05 loss: 0.1220 (0.1352) loss_seg: 0.1324 (0.1461) loss_lansim: 0.1273 (0.1170) loss_contra: 0.0004 (0.0153) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [6] [1170/5278] eta: 2:53:59 lr: 4.294257868870903e-05 loss: 0.1190 (0.1350) loss_seg: 0.1251 (0.1459) loss_lansim: 0.1257 (0.1170) loss_contra: 0.0003 (0.0151) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [6] [1180/5278] eta: 2:53:37 lr: 4.294041085090165e-05 loss: 0.1190 (0.1351) loss_seg: 0.1251 (0.1460) loss_lansim: 0.1254 (0.1171) loss_contra: 0.0004 (0.0152) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [6] [1190/5278] eta: 2:53:09 lr: 4.293824300093389e-05 loss: 0.1185 (0.1351) loss_seg: 0.1251 (0.1461) loss_lansim: 0.1233 (0.1170) loss_contra: 0.0004 (0.0151) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [6] [1200/5278] eta: 2:52:45 lr: 4.2936075138805006e-05 loss: 0.1172 (0.1349) loss_seg: 0.1219 (0.1458) loss_lansim: 0.1233 (0.1171) loss_contra: 0.0004 (0.0150) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [6] [1210/5278] eta: 2:52:19 lr: 4.2933907264514225e-05 loss: 0.1127 (0.1347) loss_seg: 0.1207 (0.1456) loss_lansim: 0.1226 (0.1172) loss_contra: 0.0004 (0.0149) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [6] [1220/5278] eta: 2:51:54 lr: 4.2931739378060804e-05 loss: 0.1102 (0.1345) loss_seg: 0.1207 (0.1453) loss_lansim: 0.1209 (0.1171) loss_contra: 0.0004 (0.0152) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [6] [1230/5278] eta: 2:51:26 lr: 4.292957147944401e-05 loss: 0.1094 (0.1344) loss_seg: 0.1207 (0.1453) loss_lansim: 0.1184 (0.1172) loss_contra: 0.0004 (0.0151) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [6] [1240/5278] eta: 2:50:58 lr: 4.2927403568663064e-05 loss: 0.1153 (0.1344) loss_seg: 0.1251 (0.1453) loss_lansim: 0.1195 (0.1173) loss_contra: 0.0004 (0.0150) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [6] [1250/5278] eta: 2:50:34 lr: 4.292523564571724e-05 loss: 0.1127 (0.1345) loss_seg: 0.1211 (0.1454) loss_lansim: 0.1214 (0.1174) loss_contra: 0.0004 (0.0153) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [6] [1260/5278] eta: 2:50:08 lr: 4.2923067710605774e-05 loss: 0.1117 (0.1344) loss_seg: 0.1207 (0.1452) loss_lansim: 0.1221 (0.1175) loss_contra: 0.0004 (0.0156) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [6] [1270/5278] eta: 2:49:44 lr: 4.292089976332791e-05 loss: 0.1102 (0.1342) loss_seg: 0.1207 (0.1450) loss_lansim: 0.1241 (0.1177) loss_contra: 0.0004 (0.0155) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [6] [1280/5278] eta: 2:49:18 lr: 4.2918731803882925e-05 loss: 0.1117 (0.1343) loss_seg: 0.1211 (0.1450) loss_lansim: 0.1244 (0.1179) loss_contra: 0.0004 (0.0157) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [6] [1290/5278] eta: 2:48:55 lr: 4.291656383227004e-05 loss: 0.1122 (0.1343) loss_seg: 0.1211 (0.1450) loss_lansim: 0.1272 (0.1180) loss_contra: 0.0003 (0.0156) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [6] [1300/5278] eta: 2:48:30 lr: 4.29143958484885e-05 loss: 0.1151 (0.1342) loss_seg: 0.1250 (0.1450) loss_lansim: 0.1244 (0.1179) loss_contra: 0.0004 (0.0156) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [6] [1310/5278] eta: 2:48:05 lr: 4.291222785253757e-05 loss: 0.1203 (0.1343) loss_seg: 0.1292 (0.1451) loss_lansim: 0.1244 (0.1180) loss_contra: 0.0004 (0.0155) time: 2.5431 data: 0.0026 max mem: 31671 Epoch: [6] [1320/5278] eta: 2:47:41 lr: 4.291005984441649e-05 loss: 0.1250 (0.1346) loss_seg: 0.1332 (0.1455) loss_lansim: 0.1245 (0.1181) loss_contra: 0.0004 (0.0154) time: 2.5458 data: 0.0026 max mem: 31671 Epoch: [6] [1330/5278] eta: 2:47:19 lr: 4.290789182412453e-05 loss: 0.1268 (0.1344) loss_seg: 0.1329 (0.1453) loss_lansim: 0.1242 (0.1181) loss_contra: 0.0004 (0.0154) time: 2.5631 data: 0.0026 max mem: 31671 Epoch: [6] [1340/5278] eta: 2:46:51 lr: 4.290572379166091e-05 loss: 0.1203 (0.1343) loss_seg: 0.1264 (0.1451) loss_lansim: 0.1233 (0.1180) loss_contra: 0.0004 (0.0153) time: 2.5646 data: 0.0026 max mem: 31671 Epoch: [6] [1350/5278] eta: 2:46:27 lr: 4.290355574702488e-05 loss: 0.1266 (0.1345) loss_seg: 0.1287 (0.1454) loss_lansim: 0.1213 (0.1180) loss_contra: 0.0005 (0.0154) time: 2.5633 data: 0.0026 max mem: 31671 Epoch: [6] [1360/5278] eta: 2:45:58 lr: 4.2901387690215714e-05 loss: 0.1282 (0.1347) loss_seg: 0.1394 (0.1456) loss_lansim: 0.1206 (0.1180) loss_contra: 0.0005 (0.0155) time: 2.5547 data: 0.0026 max mem: 31671 Epoch: [6] [1370/5278] eta: 2:45:34 lr: 4.2899219621232635e-05 loss: 0.1285 (0.1350) loss_seg: 0.1419 (0.1460) loss_lansim: 0.1196 (0.1180) loss_contra: 0.0005 (0.0155) time: 2.5559 data: 0.0026 max mem: 31671 Epoch: [6] [1380/5278] eta: 2:45:09 lr: 4.2897051540074894e-05 loss: 0.1281 (0.1347) loss_seg: 0.1403 (0.1457) loss_lansim: 0.1146 (0.1179) loss_contra: 0.0005 (0.0156) time: 2.5589 data: 0.0026 max mem: 31671 Epoch: [6] [1390/5278] eta: 2:44:44 lr: 4.2894883446741746e-05 loss: 0.1266 (0.1346) loss_seg: 0.1373 (0.1455) loss_lansim: 0.1141 (0.1179) loss_contra: 0.0006 (0.0155) time: 2.5524 data: 0.0026 max mem: 31671 Epoch: [6] [1400/5278] eta: 2:44:19 lr: 4.289271534123244e-05 loss: 0.1251 (0.1346) loss_seg: 0.1326 (0.1455) loss_lansim: 0.1141 (0.1179) loss_contra: 0.0007 (0.0154) time: 2.5538 data: 0.0026 max mem: 31671 Epoch: [6] [1410/5278] eta: 2:43:55 lr: 4.2890547223546226e-05 loss: 0.1216 (0.1345) loss_seg: 0.1272 (0.1454) loss_lansim: 0.1130 (0.1178) loss_contra: 0.0005 (0.0154) time: 2.5553 data: 0.0026 max mem: 31671 Epoch: [6] [1420/5278] eta: 2:43:29 lr: 4.2888379093682335e-05 loss: 0.1216 (0.1347) loss_seg: 0.1278 (0.1456) loss_lansim: 0.1130 (0.1179) loss_contra: 0.0005 (0.0153) time: 2.5493 data: 0.0026 max mem: 31671 Epoch: [6] [1430/5278] eta: 2:43:05 lr: 4.288621095164003e-05 loss: 0.1251 (0.1348) loss_seg: 0.1351 (0.1457) loss_lansim: 0.1130 (0.1178) loss_contra: 0.0004 (0.0152) time: 2.5463 data: 0.0026 max mem: 31671 Epoch: [6] [1440/5278] eta: 2:42:40 lr: 4.2884042797418554e-05 loss: 0.1257 (0.1349) loss_seg: 0.1392 (0.1458) loss_lansim: 0.1121 (0.1177) loss_contra: 0.0006 (0.0152) time: 2.5544 data: 0.0026 max mem: 31671 Epoch: [6] [1450/5278] eta: 2:42:17 lr: 4.288187463101716e-05 loss: 0.1227 (0.1346) loss_seg: 0.1326 (0.1456) loss_lansim: 0.1099 (0.1175) loss_contra: 0.0004 (0.0152) time: 2.5581 data: 0.0026 max mem: 31671 Epoch: [6] [1460/5278] eta: 2:41:50 lr: 4.287970645243508e-05 loss: 0.1195 (0.1347) loss_seg: 0.1289 (0.1457) loss_lansim: 0.1091 (0.1174) loss_contra: 0.0005 (0.0152) time: 2.5652 data: 0.0026 max mem: 31671 Epoch: [6] [1470/5278] eta: 2:41:24 lr: 4.287753826167158e-05 loss: 0.1183 (0.1346) loss_seg: 0.1283 (0.1456) loss_lansim: 0.1092 (0.1174) loss_contra: 0.0004 (0.0151) time: 2.5604 data: 0.0026 max mem: 31671 Epoch: [6] [1480/5278] eta: 2:40:59 lr: 4.2875370058725896e-05 loss: 0.1163 (0.1343) loss_seg: 0.1278 (0.1452) loss_lansim: 0.1091 (0.1173) loss_contra: 0.0004 (0.0151) time: 2.5609 data: 0.0026 max mem: 31671 Epoch: [6] [1490/5278] eta: 2:40:34 lr: 4.287320184359728e-05 loss: 0.1163 (0.1343) loss_seg: 0.1283 (0.1452) loss_lansim: 0.1076 (0.1172) loss_contra: 0.0004 (0.0151) time: 2.5575 data: 0.0026 max mem: 31671 Epoch: [6] [1500/5278] eta: 2:40:10 lr: 4.287103361628497e-05 loss: 0.1163 (0.1341) loss_seg: 0.1283 (0.1450) loss_lansim: 0.1060 (0.1171) loss_contra: 0.0004 (0.0151) time: 2.5621 data: 0.0026 max mem: 31671 Epoch: [6] [1510/5278] eta: 2:39:45 lr: 4.2868865376788224e-05 loss: 0.1168 (0.1344) loss_seg: 0.1289 (0.1453) loss_lansim: 0.1052 (0.1170) loss_contra: 0.0005 (0.0150) time: 2.5596 data: 0.0026 max mem: 31671 Epoch: [6] [1520/5278] eta: 2:39:21 lr: 4.2866697125106284e-05 loss: 0.1156 (0.1343) loss_seg: 0.1279 (0.1451) loss_lansim: 0.1026 (0.1169) loss_contra: 0.0006 (0.0150) time: 2.5687 data: 0.0026 max mem: 31671 Epoch: [6] [1530/5278] eta: 2:38:55 lr: 4.2864528861238394e-05 loss: 0.1153 (0.1344) loss_seg: 0.1276 (0.1453) loss_lansim: 0.1026 (0.1168) loss_contra: 0.0007 (0.0150) time: 2.5602 data: 0.0026 max mem: 31671 Epoch: [6] [1540/5278] eta: 2:38:29 lr: 4.2862360585183806e-05 loss: 0.1147 (0.1344) loss_seg: 0.1276 (0.1453) loss_lansim: 0.1030 (0.1168) loss_contra: 0.0006 (0.0149) time: 2.5542 data: 0.0026 max mem: 31671 Epoch: [6] [1550/5278] eta: 2:38:04 lr: 4.2860192296941763e-05 loss: 0.1156 (0.1342) loss_seg: 0.1280 (0.1451) loss_lansim: 0.1030 (0.1168) loss_contra: 0.0006 (0.0148) time: 2.5493 data: 0.0026 max mem: 31671 Epoch: [6] [1560/5278] eta: 2:37:37 lr: 4.285802399651151e-05 loss: 0.1158 (0.1344) loss_seg: 0.1283 (0.1453) loss_lansim: 0.1034 (0.1167) loss_contra: 0.0005 (0.0148) time: 2.5473 data: 0.0026 max mem: 31671 Epoch: [6] [1570/5278] eta: 2:37:11 lr: 4.28558556838923e-05 loss: 0.1156 (0.1343) loss_seg: 0.1280 (0.1452) loss_lansim: 0.1030 (0.1166) loss_contra: 0.0005 (0.0147) time: 2.5457 data: 0.0026 max mem: 31671 Epoch: [6] [1580/5278] eta: 2:36:43 lr: 4.285368735908338e-05 loss: 0.1192 (0.1342) loss_seg: 0.1297 (0.1451) loss_lansim: 0.1034 (0.1166) loss_contra: 0.0004 (0.0147) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [6] [1590/5278] eta: 2:36:16 lr: 4.285151902208398e-05 loss: 0.1192 (0.1344) loss_seg: 0.1297 (0.1453) loss_lansim: 0.1045 (0.1165) loss_contra: 0.0003 (0.0146) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [6] [1600/5278] eta: 2:35:51 lr: 4.2849350672893355e-05 loss: 0.1210 (0.1346) loss_seg: 0.1339 (0.1454) loss_lansim: 0.1069 (0.1165) loss_contra: 0.0003 (0.0147) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [6] [1610/5278] eta: 2:35:24 lr: 4.284718231151076e-05 loss: 0.1203 (0.1346) loss_seg: 0.1327 (0.1454) loss_lansim: 0.1086 (0.1165) loss_contra: 0.0003 (0.0146) time: 2.5158 data: 0.0025 max mem: 31671 Epoch: [6] [1620/5278] eta: 2:34:59 lr: 4.284501393793544e-05 loss: 0.1225 (0.1347) loss_seg: 0.1360 (0.1455) loss_lansim: 0.1097 (0.1165) loss_contra: 0.0002 (0.0145) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [6] [1630/5278] eta: 2:34:33 lr: 4.284284555216663e-05 loss: 0.1225 (0.1346) loss_seg: 0.1360 (0.1454) loss_lansim: 0.1086 (0.1164) loss_contra: 0.0003 (0.0146) time: 2.5116 data: 0.0025 max mem: 31671 Epoch: [6] [1640/5278] eta: 2:34:07 lr: 4.2840677154203576e-05 loss: 0.1225 (0.1345) loss_seg: 0.1360 (0.1453) loss_lansim: 0.1089 (0.1164) loss_contra: 0.0003 (0.0147) time: 2.5096 data: 0.0025 max mem: 31671 Epoch: [6] [1650/5278] eta: 2:33:40 lr: 4.283850874404553e-05 loss: 0.1225 (0.1343) loss_seg: 0.1339 (0.1451) loss_lansim: 0.1086 (0.1163) loss_contra: 0.0003 (0.0147) time: 2.5023 data: 0.0025 max mem: 31671 Epoch: [6] [1660/5278] eta: 2:33:12 lr: 4.2836340321691734e-05 loss: 0.1213 (0.1343) loss_seg: 0.1324 (0.1451) loss_lansim: 0.1070 (0.1162) loss_contra: 0.0003 (0.0146) time: 2.4959 data: 0.0025 max mem: 31671 Epoch: [6] [1670/5278] eta: 2:32:47 lr: 4.283417188714144e-05 loss: 0.1213 (0.1343) loss_seg: 0.1324 (0.1451) loss_lansim: 0.1056 (0.1161) loss_contra: 0.0004 (0.0147) time: 2.5000 data: 0.0025 max mem: 31671 Epoch: [6] [1680/5278] eta: 2:32:22 lr: 4.2832003440393884e-05 loss: 0.1208 (0.1342) loss_seg: 0.1324 (0.1449) loss_lansim: 0.1050 (0.1160) loss_contra: 0.0004 (0.0146) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [6] [1690/5278] eta: 2:31:57 lr: 4.2829834981448315e-05 loss: 0.1199 (0.1341) loss_seg: 0.1274 (0.1448) loss_lansim: 0.1036 (0.1159) loss_contra: 0.0006 (0.0145) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [6] [1700/5278] eta: 2:31:29 lr: 4.282766651030399e-05 loss: 0.1191 (0.1340) loss_seg: 0.1219 (0.1447) loss_lansim: 0.1035 (0.1159) loss_contra: 0.0007 (0.0146) time: 2.5085 data: 0.0025 max mem: 31671 Epoch: [6] [1710/5278] eta: 2:31:04 lr: 4.282549802696012e-05 loss: 0.1196 (0.1342) loss_seg: 0.1227 (0.1449) loss_lansim: 0.1021 (0.1158) loss_contra: 0.0007 (0.0145) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [6] [1720/5278] eta: 2:30:39 lr: 4.2823329531415996e-05 loss: 0.1187 (0.1344) loss_seg: 0.1219 (0.1451) loss_lansim: 0.1021 (0.1158) loss_contra: 0.0009 (0.0145) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [6] [1730/5278] eta: 2:30:13 lr: 4.282116102367083e-05 loss: 0.1170 (0.1344) loss_seg: 0.1219 (0.1452) loss_lansim: 0.1023 (0.1157) loss_contra: 0.0009 (0.0145) time: 2.5116 data: 0.0025 max mem: 31671 Epoch: [6] [1740/5278] eta: 2:29:47 lr: 4.281899250372388e-05 loss: 0.1075 (0.1343) loss_seg: 0.1194 (0.1450) loss_lansim: 0.1012 (0.1157) loss_contra: 0.0009 (0.0145) time: 2.5158 data: 0.0025 max mem: 31671 Epoch: [6] [1750/5278] eta: 2:29:23 lr: 4.281682397157438e-05 loss: 0.1148 (0.1344) loss_seg: 0.1227 (0.1451) loss_lansim: 0.1012 (0.1156) loss_contra: 0.0007 (0.0144) time: 2.5257 data: 0.0025 max mem: 31671 Epoch: [6] [1760/5278] eta: 2:28:58 lr: 4.281465542722159e-05 loss: 0.1170 (0.1343) loss_seg: 0.1245 (0.1451) loss_lansim: 0.1007 (0.1154) loss_contra: 0.0006 (0.0144) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [6] [1770/5278] eta: 2:28:31 lr: 4.2812486870664745e-05 loss: 0.1148 (0.1343) loss_seg: 0.1245 (0.1451) loss_lansim: 0.1021 (0.1154) loss_contra: 0.0003 (0.0145) time: 2.5322 data: 0.0025 max mem: 31671 Epoch: [6] [1780/5278] eta: 2:28:06 lr: 4.281031830190309e-05 loss: 0.1148 (0.1344) loss_seg: 0.1277 (0.1452) loss_lansim: 0.1018 (0.1153) loss_contra: 0.0003 (0.0144) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [6] [1790/5278] eta: 2:27:40 lr: 4.280814972093587e-05 loss: 0.1143 (0.1343) loss_seg: 0.1261 (0.1450) loss_lansim: 0.1021 (0.1152) loss_contra: 0.0003 (0.0150) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [6] [1800/5278] eta: 2:27:16 lr: 4.280598112776233e-05 loss: 0.1148 (0.1342) loss_seg: 0.1270 (0.1450) loss_lansim: 0.1018 (0.1152) loss_contra: 0.0003 (0.0149) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [6] [1810/5278] eta: 2:26:52 lr: 4.280381252238171e-05 loss: 0.1102 (0.1341) loss_seg: 0.1218 (0.1449) loss_lansim: 0.1012 (0.1150) loss_contra: 0.0003 (0.0150) time: 2.5543 data: 0.0025 max mem: 31671 Epoch: [6] [1820/5278] eta: 2:26:27 lr: 4.280164390479326e-05 loss: 0.1098 (0.1345) loss_seg: 0.1203 (0.1453) loss_lansim: 0.1000 (0.1150) loss_contra: 0.0003 (0.0149) time: 2.5488 data: 0.0025 max mem: 31671 Epoch: [6] [1830/5278] eta: 2:26:03 lr: 4.2799475274996227e-05 loss: 0.1079 (0.1344) loss_seg: 0.1199 (0.1452) loss_lansim: 0.1000 (0.1149) loss_contra: 0.0003 (0.0149) time: 2.5599 data: 0.0026 max mem: 31671 Epoch: [6] [1840/5278] eta: 2:25:37 lr: 4.279730663298985e-05 loss: 0.1147 (0.1345) loss_seg: 0.1261 (0.1453) loss_lansim: 0.1011 (0.1149) loss_contra: 0.0003 (0.0148) time: 2.5627 data: 0.0026 max mem: 31671 Epoch: [6] [1850/5278] eta: 2:25:12 lr: 4.2795137978773365e-05 loss: 0.1102 (0.1343) loss_seg: 0.1223 (0.1451) loss_lansim: 0.1014 (0.1148) loss_contra: 0.0003 (0.0147) time: 2.5583 data: 0.0026 max mem: 31671 Epoch: [6] [1860/5278] eta: 2:24:47 lr: 4.279296931234603e-05 loss: 0.1102 (0.1345) loss_seg: 0.1223 (0.1453) loss_lansim: 0.1051 (0.1148) loss_contra: 0.0004 (0.0147) time: 2.5586 data: 0.0026 max mem: 31671 Epoch: [6] [1870/5278] eta: 2:24:20 lr: 4.279080063370708e-05 loss: 0.1082 (0.1342) loss_seg: 0.1201 (0.1450) loss_lansim: 0.1043 (0.1148) loss_contra: 0.0008 (0.0150) time: 2.5565 data: 0.0026 max mem: 31671 Epoch: [6] [1880/5278] eta: 2:23:54 lr: 4.278863194285576e-05 loss: 0.1082 (0.1342) loss_seg: 0.1199 (0.1450) loss_lansim: 0.1043 (0.1147) loss_contra: 0.0008 (0.0150) time: 2.5537 data: 0.0025 max mem: 31671 Epoch: [6] [1890/5278] eta: 2:23:29 lr: 4.2786463239791314e-05 loss: 0.1098 (0.1342) loss_seg: 0.1201 (0.1450) loss_lansim: 0.1042 (0.1146) loss_contra: 0.0008 (0.0153) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [6] [1900/5278] eta: 2:23:03 lr: 4.278429452451298e-05 loss: 0.1102 (0.1341) loss_seg: 0.1192 (0.1449) loss_lansim: 0.1042 (0.1146) loss_contra: 0.0011 (0.0153) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [6] [1910/5278] eta: 2:22:39 lr: 4.278212579702002e-05 loss: 0.1109 (0.1341) loss_seg: 0.1201 (0.1448) loss_lansim: 0.1051 (0.1146) loss_contra: 0.0009 (0.0152) time: 2.5435 data: 0.0025 max mem: 31671 Epoch: [6] [1920/5278] eta: 2:22:14 lr: 4.277995705731166e-05 loss: 0.1116 (0.1341) loss_seg: 0.1223 (0.1449) loss_lansim: 0.1051 (0.1146) loss_contra: 0.0009 (0.0153) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [6] [1930/5278] eta: 2:21:50 lr: 4.277778830538714e-05 loss: 0.1111 (0.1343) loss_seg: 0.1201 (0.1451) loss_lansim: 0.1061 (0.1145) loss_contra: 0.0008 (0.0152) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [6] [1940/5278] eta: 2:21:23 lr: 4.277561954124572e-05 loss: 0.1108 (0.1342) loss_seg: 0.1166 (0.1450) loss_lansim: 0.1053 (0.1145) loss_contra: 0.0011 (0.0154) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [6] [1950/5278] eta: 2:20:58 lr: 4.2773450764886624e-05 loss: 0.1065 (0.1340) loss_seg: 0.1147 (0.1448) loss_lansim: 0.1050 (0.1144) loss_contra: 0.0011 (0.0153) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [6] [1960/5278] eta: 2:20:33 lr: 4.277128197630911e-05 loss: 0.1081 (0.1341) loss_seg: 0.1155 (0.1448) loss_lansim: 0.1042 (0.1144) loss_contra: 0.0012 (0.0153) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [6] [1970/5278] eta: 2:20:09 lr: 4.276911317551241e-05 loss: 0.1116 (0.1340) loss_seg: 0.1182 (0.1448) loss_lansim: 0.1044 (0.1144) loss_contra: 0.0009 (0.0154) time: 2.5604 data: 0.0025 max mem: 31671 Epoch: [6] [1980/5278] eta: 2:19:43 lr: 4.276694436249578e-05 loss: 0.1104 (0.1339) loss_seg: 0.1176 (0.1447) loss_lansim: 0.1050 (0.1144) loss_contra: 0.0009 (0.0154) time: 2.5608 data: 0.0026 max mem: 31671 Epoch: [6] [1990/5278] eta: 2:19:17 lr: 4.276477553725845e-05 loss: 0.1099 (0.1338) loss_seg: 0.1182 (0.1446) loss_lansim: 0.1073 (0.1144) loss_contra: 0.0006 (0.0154) time: 2.5546 data: 0.0026 max mem: 31671 Epoch: [6] [2000/5278] eta: 2:18:51 lr: 4.276260669979966e-05 loss: 0.1081 (0.1337) loss_seg: 0.1182 (0.1444) loss_lansim: 0.1081 (0.1144) loss_contra: 0.0006 (0.0153) time: 2.5541 data: 0.0026 max mem: 31671 Epoch: [6] [2010/5278] eta: 2:18:25 lr: 4.276043785011866e-05 loss: 0.1065 (0.1336) loss_seg: 0.1147 (0.1444) loss_lansim: 0.1085 (0.1144) loss_contra: 0.0004 (0.0152) time: 2.5473 data: 0.0026 max mem: 31671 Epoch: [6] [2020/5278] eta: 2:18:00 lr: 4.2758268988214704e-05 loss: 0.1033 (0.1335) loss_seg: 0.1126 (0.1443) loss_lansim: 0.1103 (0.1143) loss_contra: 0.0004 (0.0152) time: 2.5471 data: 0.0026 max mem: 31671 Epoch: [6] [2030/5278] eta: 2:17:36 lr: 4.2756100114087005e-05 loss: 0.1065 (0.1337) loss_seg: 0.1176 (0.1445) loss_lansim: 0.1099 (0.1143) loss_contra: 0.0005 (0.0152) time: 2.5423 data: 0.0026 max mem: 31671 Epoch: [6] [2040/5278] eta: 2:17:09 lr: 4.275393122773483e-05 loss: 0.1085 (0.1338) loss_seg: 0.1203 (0.1446) loss_lansim: 0.1103 (0.1143) loss_contra: 0.0003 (0.0152) time: 2.5421 data: 0.0026 max mem: 31671 Epoch: [6] [2050/5278] eta: 2:16:43 lr: 4.275176232915742e-05 loss: 0.1122 (0.1338) loss_seg: 0.1240 (0.1447) loss_lansim: 0.1099 (0.1143) loss_contra: 0.0003 (0.0152) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [6] [2060/5278] eta: 2:16:18 lr: 4.274959341835399e-05 loss: 0.1122 (0.1339) loss_seg: 0.1241 (0.1447) loss_lansim: 0.1102 (0.1143) loss_contra: 0.0003 (0.0153) time: 2.5342 data: 0.0026 max mem: 31671 Epoch: [6] [2070/5278] eta: 2:15:53 lr: 4.274742449532382e-05 loss: 0.1208 (0.1339) loss_seg: 0.1321 (0.1447) loss_lansim: 0.1102 (0.1142) loss_contra: 0.0003 (0.0152) time: 2.5278 data: 0.0026 max mem: 31671 Epoch: [6] [2080/5278] eta: 2:15:28 lr: 4.274525556006613e-05 loss: 0.1208 (0.1340) loss_seg: 0.1321 (0.1448) loss_lansim: 0.1101 (0.1142) loss_contra: 0.0003 (0.0156) time: 2.5339 data: 0.0026 max mem: 31671 Epoch: [6] [2090/5278] eta: 2:15:03 lr: 4.274308661258016e-05 loss: 0.1218 (0.1339) loss_seg: 0.1321 (0.1447) loss_lansim: 0.1107 (0.1143) loss_contra: 0.0006 (0.0157) time: 2.5421 data: 0.0026 max mem: 31671 Epoch: [6] [2100/5278] eta: 2:14:39 lr: 4.274091765286516e-05 loss: 0.1234 (0.1339) loss_seg: 0.1356 (0.1447) loss_lansim: 0.1107 (0.1143) loss_contra: 0.0008 (0.0158) time: 2.5525 data: 0.0026 max mem: 31671 Epoch: [6] [2110/5278] eta: 2:14:13 lr: 4.2738748680920356e-05 loss: 0.1265 (0.1343) loss_seg: 0.1380 (0.1451) loss_lansim: 0.1103 (0.1143) loss_contra: 0.0008 (0.0157) time: 2.5532 data: 0.0026 max mem: 31671 Epoch: [6] [2120/5278] eta: 2:13:46 lr: 4.273657969674502e-05 loss: 0.1319 (0.1343) loss_seg: 0.1424 (0.1451) loss_lansim: 0.1107 (0.1143) loss_contra: 0.0007 (0.0157) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [6] [2130/5278] eta: 2:13:20 lr: 4.273441070033837e-05 loss: 0.1265 (0.1342) loss_seg: 0.1380 (0.1451) loss_lansim: 0.1122 (0.1143) loss_contra: 0.0008 (0.0160) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [6] [2140/5278] eta: 2:12:56 lr: 4.2732241691699644e-05 loss: 0.1220 (0.1342) loss_seg: 0.1329 (0.1450) loss_lansim: 0.1136 (0.1143) loss_contra: 0.0009 (0.0159) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [6] [2150/5278] eta: 2:12:31 lr: 4.2730072670828095e-05 loss: 0.1218 (0.1341) loss_seg: 0.1296 (0.1449) loss_lansim: 0.1139 (0.1143) loss_contra: 0.0009 (0.0159) time: 2.5547 data: 0.0025 max mem: 31671 Epoch: [6] [2160/5278] eta: 2:12:05 lr: 4.2727903637722964e-05 loss: 0.1218 (0.1341) loss_seg: 0.1296 (0.1449) loss_lansim: 0.1142 (0.1143) loss_contra: 0.0009 (0.0158) time: 2.5461 data: 0.0025 max mem: 31671 Epoch: [6] [2170/5278] eta: 2:11:39 lr: 4.272573459238348e-05 loss: 0.1154 (0.1340) loss_seg: 0.1259 (0.1448) loss_lansim: 0.1143 (0.1143) loss_contra: 0.0009 (0.0159) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [6] [2180/5278] eta: 2:11:13 lr: 4.27235655348089e-05 loss: 0.1138 (0.1339) loss_seg: 0.1237 (0.1447) loss_lansim: 0.1142 (0.1143) loss_contra: 0.0006 (0.0159) time: 2.5412 data: 0.0025 max mem: 31671 Epoch: [6] [2190/5278] eta: 2:10:47 lr: 4.272139646499845e-05 loss: 0.1193 (0.1339) loss_seg: 0.1262 (0.1447) loss_lansim: 0.1097 (0.1142) loss_contra: 0.0005 (0.0159) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [6] [2200/5278] eta: 2:10:21 lr: 4.2719227382951384e-05 loss: 0.1193 (0.1339) loss_seg: 0.1280 (0.1446) loss_lansim: 0.1088 (0.1142) loss_contra: 0.0003 (0.0159) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [6] [2210/5278] eta: 2:09:55 lr: 4.271705828866694e-05 loss: 0.1193 (0.1338) loss_seg: 0.1280 (0.1446) loss_lansim: 0.1088 (0.1142) loss_contra: 0.0003 (0.0158) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [6] [2220/5278] eta: 2:09:30 lr: 4.271488918214435e-05 loss: 0.1193 (0.1339) loss_seg: 0.1280 (0.1446) loss_lansim: 0.1088 (0.1141) loss_contra: 0.0003 (0.0158) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [6] [2230/5278] eta: 2:09:06 lr: 4.2712720063382855e-05 loss: 0.1220 (0.1339) loss_seg: 0.1298 (0.1447) loss_lansim: 0.1077 (0.1141) loss_contra: 0.0003 (0.0158) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [6] [2240/5278] eta: 2:08:41 lr: 4.27105509323817e-05 loss: 0.1154 (0.1338) loss_seg: 0.1259 (0.1446) loss_lansim: 0.1076 (0.1141) loss_contra: 0.0007 (0.0157) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [6] [2250/5278] eta: 2:08:15 lr: 4.270838178914013e-05 loss: 0.1168 (0.1337) loss_seg: 0.1280 (0.1445) loss_lansim: 0.1077 (0.1141) loss_contra: 0.0006 (0.0158) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [6] [2260/5278] eta: 2:07:49 lr: 4.270621263365737e-05 loss: 0.1124 (0.1337) loss_seg: 0.1176 (0.1445) loss_lansim: 0.1077 (0.1141) loss_contra: 0.0007 (0.0157) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [6] [2270/5278] eta: 2:07:24 lr: 4.270404346593268e-05 loss: 0.1135 (0.1338) loss_seg: 0.1216 (0.1446) loss_lansim: 0.1073 (0.1141) loss_contra: 0.0006 (0.0157) time: 2.5392 data: 0.0026 max mem: 31671 Epoch: [6] [2280/5278] eta: 2:07:00 lr: 4.270187428596529e-05 loss: 0.1168 (0.1337) loss_seg: 0.1249 (0.1444) loss_lansim: 0.1077 (0.1140) loss_contra: 0.0009 (0.0158) time: 2.5499 data: 0.0026 max mem: 31671 Epoch: [6] [2290/5278] eta: 2:06:35 lr: 4.269970509375443e-05 loss: 0.1135 (0.1337) loss_seg: 0.1176 (0.1445) loss_lansim: 0.1088 (0.1140) loss_contra: 0.0011 (0.0158) time: 2.5564 data: 0.0025 max mem: 31671 Epoch: [6] [2300/5278] eta: 2:06:09 lr: 4.2697535889299354e-05 loss: 0.1128 (0.1336) loss_seg: 0.1166 (0.1444) loss_lansim: 0.1096 (0.1140) loss_contra: 0.0014 (0.0159) time: 2.5583 data: 0.0025 max mem: 31671 Epoch: [6] [2310/5278] eta: 2:05:43 lr: 4.2695366672599304e-05 loss: 0.1059 (0.1334) loss_seg: 0.1164 (0.1442) loss_lansim: 0.1096 (0.1140) loss_contra: 0.0015 (0.0159) time: 2.5589 data: 0.0025 max mem: 31671 Epoch: [6] [2320/5278] eta: 2:05:19 lr: 4.26931974436535e-05 loss: 0.1124 (0.1334) loss_seg: 0.1165 (0.1441) loss_lansim: 0.1077 (0.1139) loss_contra: 0.0015 (0.0160) time: 2.5623 data: 0.0025 max mem: 31671 Epoch: [6] [2330/5278] eta: 2:04:54 lr: 4.269102820246121e-05 loss: 0.1124 (0.1335) loss_seg: 0.1166 (0.1442) loss_lansim: 0.1085 (0.1140) loss_contra: 0.0017 (0.0162) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [6] [2340/5278] eta: 2:04:28 lr: 4.2688858949021646e-05 loss: 0.1135 (0.1334) loss_seg: 0.1243 (0.1442) loss_lansim: 0.1084 (0.1140) loss_contra: 0.0014 (0.0163) time: 2.5551 data: 0.0025 max mem: 31671 Epoch: [6] [2350/5278] eta: 2:04:03 lr: 4.268668968333406e-05 loss: 0.1135 (0.1335) loss_seg: 0.1249 (0.1443) loss_lansim: 0.1083 (0.1140) loss_contra: 0.0017 (0.0163) time: 2.5570 data: 0.0025 max mem: 31671 Epoch: [6] [2360/5278] eta: 2:03:38 lr: 4.26845204053977e-05 loss: 0.1193 (0.1335) loss_seg: 0.1282 (0.1442) loss_lansim: 0.1067 (0.1139) loss_contra: 0.0015 (0.0163) time: 2.5623 data: 0.0024 max mem: 31671 Epoch: [6] [2370/5278] eta: 2:03:13 lr: 4.268235111521179e-05 loss: 0.1225 (0.1336) loss_seg: 0.1307 (0.1444) loss_lansim: 0.1062 (0.1138) loss_contra: 0.0018 (0.0162) time: 2.5605 data: 0.0024 max mem: 31671 Epoch: [6] [2380/5278] eta: 2:02:47 lr: 4.268018181277558e-05 loss: 0.1217 (0.1336) loss_seg: 0.1287 (0.1444) loss_lansim: 0.1056 (0.1138) loss_contra: 0.0010 (0.0163) time: 2.5475 data: 0.0024 max mem: 31671 Epoch: [6] [2390/5278] eta: 2:02:21 lr: 4.267801249808829e-05 loss: 0.1193 (0.1336) loss_seg: 0.1282 (0.1444) loss_lansim: 0.1051 (0.1138) loss_contra: 0.0009 (0.0163) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [6] [2400/5278] eta: 2:01:56 lr: 4.267584317114918e-05 loss: 0.1252 (0.1337) loss_seg: 0.1324 (0.1445) loss_lansim: 0.1056 (0.1138) loss_contra: 0.0008 (0.0162) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [6] [2410/5278] eta: 2:01:32 lr: 4.2673673831957486e-05 loss: 0.1319 (0.1338) loss_seg: 0.1399 (0.1446) loss_lansim: 0.1060 (0.1138) loss_contra: 0.0007 (0.0162) time: 2.5626 data: 0.0025 max mem: 31671 Epoch: [6] [2420/5278] eta: 2:01:07 lr: 4.267150448051244e-05 loss: 0.1338 (0.1337) loss_seg: 0.1439 (0.1445) loss_lansim: 0.1067 (0.1138) loss_contra: 0.0007 (0.0163) time: 2.5612 data: 0.0025 max mem: 31671 Epoch: [6] [2430/5278] eta: 2:00:40 lr: 4.2669335116813274e-05 loss: 0.1338 (0.1337) loss_seg: 0.1404 (0.1445) loss_lansim: 0.1062 (0.1138) loss_contra: 0.0007 (0.0163) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [6] [2440/5278] eta: 2:00:15 lr: 4.266716574085925e-05 loss: 0.1319 (0.1337) loss_seg: 0.1404 (0.1445) loss_lansim: 0.1060 (0.1138) loss_contra: 0.0007 (0.0162) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [6] [2450/5278] eta: 1:59:49 lr: 4.2664996352649585e-05 loss: 0.1304 (0.1337) loss_seg: 0.1377 (0.1445) loss_lansim: 0.1059 (0.1137) loss_contra: 0.0005 (0.0161) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [6] [2460/5278] eta: 1:59:23 lr: 4.2662826952183514e-05 loss: 0.1304 (0.1337) loss_seg: 0.1396 (0.1445) loss_lansim: 0.1059 (0.1137) loss_contra: 0.0006 (0.0161) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [6] [2470/5278] eta: 1:58:57 lr: 4.2660657539460294e-05 loss: 0.1241 (0.1338) loss_seg: 0.1323 (0.1445) loss_lansim: 0.1060 (0.1137) loss_contra: 0.0005 (0.0160) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [6] [2480/5278] eta: 1:58:33 lr: 4.265848811447916e-05 loss: 0.1231 (0.1336) loss_seg: 0.1323 (0.1444) loss_lansim: 0.1059 (0.1136) loss_contra: 0.0003 (0.0160) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [6] [2490/5278] eta: 1:58:07 lr: 4.2656318677239334e-05 loss: 0.1193 (0.1335) loss_seg: 0.1270 (0.1443) loss_lansim: 0.1055 (0.1136) loss_contra: 0.0004 (0.0160) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [6] [2500/5278] eta: 1:57:42 lr: 4.265414922774008e-05 loss: 0.1163 (0.1336) loss_seg: 0.1288 (0.1444) loss_lansim: 0.1035 (0.1135) loss_contra: 0.0003 (0.0159) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [6] [2510/5278] eta: 1:57:16 lr: 4.26519797659806e-05 loss: 0.1162 (0.1337) loss_seg: 0.1218 (0.1446) loss_lansim: 0.1019 (0.1135) loss_contra: 0.0003 (0.0159) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [6] [2520/5278] eta: 1:56:51 lr: 4.264981029196016e-05 loss: 0.1162 (0.1337) loss_seg: 0.1256 (0.1446) loss_lansim: 0.1019 (0.1134) loss_contra: 0.0002 (0.0158) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [6] [2530/5278] eta: 1:56:26 lr: 4.2647640805678e-05 loss: 0.1184 (0.1338) loss_seg: 0.1288 (0.1446) loss_lansim: 0.1002 (0.1134) loss_contra: 0.0002 (0.0158) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [6] [2540/5278] eta: 1:56:00 lr: 4.264547130713334e-05 loss: 0.1154 (0.1337) loss_seg: 0.1248 (0.1445) loss_lansim: 0.0984 (0.1133) loss_contra: 0.0002 (0.0157) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [6] [2550/5278] eta: 1:55:34 lr: 4.264330179632542e-05 loss: 0.1186 (0.1339) loss_seg: 0.1313 (0.1448) loss_lansim: 0.0980 (0.1132) loss_contra: 0.0002 (0.0157) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [6] [2560/5278] eta: 1:55:09 lr: 4.264113227325349e-05 loss: 0.1163 (0.1341) loss_seg: 0.1276 (0.1449) loss_lansim: 0.0995 (0.1132) loss_contra: 0.0002 (0.0158) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [6] [2570/5278] eta: 1:54:43 lr: 4.263896273791678e-05 loss: 0.1148 (0.1340) loss_seg: 0.1276 (0.1449) loss_lansim: 0.0979 (0.1132) loss_contra: 0.0002 (0.0159) time: 2.5450 data: 0.0025 max mem: 31671 Epoch: [6] [2580/5278] eta: 1:54:18 lr: 4.263679319031452e-05 loss: 0.1184 (0.1342) loss_seg: 0.1291 (0.1450) loss_lansim: 0.0984 (0.1131) loss_contra: 0.0003 (0.0158) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [6] [2590/5278] eta: 1:53:53 lr: 4.263462363044596e-05 loss: 0.1189 (0.1341) loss_seg: 0.1317 (0.1449) loss_lansim: 0.0993 (0.1131) loss_contra: 0.0003 (0.0158) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [6] [2600/5278] eta: 1:53:28 lr: 4.2632454058310334e-05 loss: 0.1189 (0.1341) loss_seg: 0.1313 (0.1450) loss_lansim: 0.0996 (0.1131) loss_contra: 0.0005 (0.0158) time: 2.5426 data: 0.0026 max mem: 31671 Epoch: [6] [2610/5278] eta: 1:53:02 lr: 4.263028447390687e-05 loss: 0.1184 (0.1341) loss_seg: 0.1298 (0.1449) loss_lansim: 0.1009 (0.1131) loss_contra: 0.0005 (0.0157) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [6] [2620/5278] eta: 1:52:37 lr: 4.262811487723482e-05 loss: 0.1200 (0.1341) loss_seg: 0.1298 (0.1449) loss_lansim: 0.1008 (0.1130) loss_contra: 0.0008 (0.0157) time: 2.5453 data: 0.0026 max mem: 31671 Epoch: [6] [2630/5278] eta: 1:52:12 lr: 4.262594526829341e-05 loss: 0.1207 (0.1342) loss_seg: 0.1304 (0.1450) loss_lansim: 0.1014 (0.1131) loss_contra: 0.0009 (0.0158) time: 2.5401 data: 0.0026 max mem: 31671 Epoch: [6] [2640/5278] eta: 1:51:47 lr: 4.262377564708187e-05 loss: 0.1310 (0.1343) loss_seg: 0.1363 (0.1451) loss_lansim: 0.1055 (0.1131) loss_contra: 0.0009 (0.0158) time: 2.5511 data: 0.0026 max mem: 31671 Epoch: [6] [2650/5278] eta: 1:51:22 lr: 4.2621606013599455e-05 loss: 0.1238 (0.1342) loss_seg: 0.1325 (0.1450) loss_lansim: 0.1070 (0.1132) loss_contra: 0.0010 (0.0159) time: 2.5616 data: 0.0026 max mem: 31671 Epoch: [6] [2660/5278] eta: 1:50:56 lr: 4.261943636784539e-05 loss: 0.1295 (0.1342) loss_seg: 0.1339 (0.1450) loss_lansim: 0.1098 (0.1132) loss_contra: 0.0010 (0.0160) time: 2.5523 data: 0.0026 max mem: 31671 Epoch: [6] [2670/5278] eta: 1:50:30 lr: 4.261726670981891e-05 loss: 0.1306 (0.1343) loss_seg: 0.1390 (0.1451) loss_lansim: 0.1121 (0.1132) loss_contra: 0.0010 (0.0160) time: 2.5498 data: 0.0026 max mem: 31671 Epoch: [6] [2680/5278] eta: 1:50:05 lr: 4.2615097039519254e-05 loss: 0.1306 (0.1344) loss_seg: 0.1390 (0.1452) loss_lansim: 0.1138 (0.1133) loss_contra: 0.0010 (0.0159) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [6] [2690/5278] eta: 1:49:39 lr: 4.261292735694566e-05 loss: 0.1310 (0.1344) loss_seg: 0.1434 (0.1452) loss_lansim: 0.1175 (0.1133) loss_contra: 0.0010 (0.0160) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [6] [2700/5278] eta: 1:49:14 lr: 4.2610757662097375e-05 loss: 0.1314 (0.1344) loss_seg: 0.1439 (0.1452) loss_lansim: 0.1191 (0.1133) loss_contra: 0.0010 (0.0160) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [6] [2710/5278] eta: 1:48:49 lr: 4.26085879549736e-05 loss: 0.1336 (0.1345) loss_seg: 0.1455 (0.1453) loss_lansim: 0.1183 (0.1134) loss_contra: 0.0013 (0.0160) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [6] [2720/5278] eta: 1:48:23 lr: 4.2606418235573613e-05 loss: 0.1373 (0.1345) loss_seg: 0.1459 (0.1453) loss_lansim: 0.1202 (0.1134) loss_contra: 0.0008 (0.0160) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [6] [2730/5278] eta: 1:47:57 lr: 4.260424850389663e-05 loss: 0.1308 (0.1344) loss_seg: 0.1397 (0.1452) loss_lansim: 0.1191 (0.1134) loss_contra: 0.0008 (0.0159) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [6] [2740/5278] eta: 1:47:31 lr: 4.260207875994189e-05 loss: 0.1336 (0.1348) loss_seg: 0.1412 (0.1456) loss_lansim: 0.1199 (0.1134) loss_contra: 0.0008 (0.0160) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [6] [2750/5278] eta: 1:47:05 lr: 4.259990900370862e-05 loss: 0.1337 (0.1348) loss_seg: 0.1431 (0.1457) loss_lansim: 0.1183 (0.1135) loss_contra: 0.0008 (0.0164) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [6] [2760/5278] eta: 1:46:40 lr: 4.259773923519606e-05 loss: 0.1343 (0.1349) loss_seg: 0.1441 (0.1457) loss_lansim: 0.1171 (0.1135) loss_contra: 0.0008 (0.0164) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [6] [2770/5278] eta: 1:46:14 lr: 4.259556945440345e-05 loss: 0.1374 (0.1350) loss_seg: 0.1481 (0.1459) loss_lansim: 0.1175 (0.1135) loss_contra: 0.0007 (0.0165) time: 2.5252 data: 0.0024 max mem: 31671 Epoch: [6] [2780/5278] eta: 1:45:49 lr: 4.259339966133003e-05 loss: 0.1371 (0.1349) loss_seg: 0.1455 (0.1458) loss_lansim: 0.1175 (0.1135) loss_contra: 0.0006 (0.0165) time: 2.5256 data: 0.0024 max mem: 31671 Epoch: [6] [2790/5278] eta: 1:45:23 lr: 4.2591229855975026e-05 loss: 0.1349 (0.1349) loss_seg: 0.1487 (0.1458) loss_lansim: 0.1175 (0.1136) loss_contra: 0.0006 (0.0164) time: 2.5252 data: 0.0024 max mem: 31671 Epoch: [6] [2800/5278] eta: 1:44:58 lr: 4.258906003833767e-05 loss: 0.1327 (0.1348) loss_seg: 0.1397 (0.1457) loss_lansim: 0.1171 (0.1136) loss_contra: 0.0005 (0.0164) time: 2.5275 data: 0.0024 max mem: 31671 Epoch: [6] [2810/5278] eta: 1:44:33 lr: 4.258689020841721e-05 loss: 0.1303 (0.1347) loss_seg: 0.1377 (0.1456) loss_lansim: 0.1175 (0.1137) loss_contra: 0.0004 (0.0164) time: 2.5281 data: 0.0024 max mem: 31671 Epoch: [6] [2820/5278] eta: 1:44:08 lr: 4.258472036621287e-05 loss: 0.1240 (0.1347) loss_seg: 0.1353 (0.1456) loss_lansim: 0.1175 (0.1137) loss_contra: 0.0004 (0.0164) time: 2.5358 data: 0.0024 max mem: 31671 Epoch: [6] [2830/5278] eta: 1:43:42 lr: 4.25825505117239e-05 loss: 0.1280 (0.1347) loss_seg: 0.1392 (0.1455) loss_lansim: 0.1189 (0.1137) loss_contra: 0.0003 (0.0164) time: 2.5395 data: 0.0024 max mem: 31671 Epoch: [6] [2840/5278] eta: 1:43:17 lr: 4.2580380644949516e-05 loss: 0.1216 (0.1347) loss_seg: 0.1335 (0.1455) loss_lansim: 0.1186 (0.1137) loss_contra: 0.0003 (0.0164) time: 2.5520 data: 0.0024 max mem: 31671 Epoch: [6] [2850/5278] eta: 1:42:52 lr: 4.257821076588896e-05 loss: 0.1216 (0.1347) loss_seg: 0.1324 (0.1456) loss_lansim: 0.1189 (0.1138) loss_contra: 0.0003 (0.0164) time: 2.5620 data: 0.0024 max mem: 31671 Epoch: [6] [2860/5278] eta: 1:42:28 lr: 4.257604087454147e-05 loss: 0.1194 (0.1347) loss_seg: 0.1311 (0.1455) loss_lansim: 0.1184 (0.1138) loss_contra: 0.0002 (0.0164) time: 2.5710 data: 0.0024 max mem: 31671 Epoch: [6] [2870/5278] eta: 1:42:03 lr: 4.257387097090628e-05 loss: 0.1171 (0.1347) loss_seg: 0.1235 (0.1455) loss_lansim: 0.1179 (0.1138) loss_contra: 0.0003 (0.0164) time: 2.5764 data: 0.0024 max mem: 31671 Epoch: [6] [2880/5278] eta: 1:41:37 lr: 4.2571701054982623e-05 loss: 0.1112 (0.1346) loss_seg: 0.1213 (0.1455) loss_lansim: 0.1179 (0.1138) loss_contra: 0.0002 (0.0164) time: 2.5694 data: 0.0025 max mem: 31671 Epoch: [6] [2890/5278] eta: 1:41:11 lr: 4.256953112676973e-05 loss: 0.1103 (0.1345) loss_seg: 0.1194 (0.1453) loss_lansim: 0.1158 (0.1138) loss_contra: 0.0003 (0.0164) time: 2.5674 data: 0.0024 max mem: 31671 Epoch: [6] [2900/5278] eta: 1:40:46 lr: 4.2567361186266836e-05 loss: 0.1171 (0.1345) loss_seg: 0.1236 (0.1453) loss_lansim: 0.1158 (0.1138) loss_contra: 0.0004 (0.0164) time: 2.5604 data: 0.0025 max mem: 31671 Epoch: [6] [2910/5278] eta: 1:40:20 lr: 4.256519123347319e-05 loss: 0.1232 (0.1347) loss_seg: 0.1298 (0.1455) loss_lansim: 0.1158 (0.1138) loss_contra: 0.0004 (0.0163) time: 2.5569 data: 0.0025 max mem: 31671 Epoch: [6] [2920/5278] eta: 1:39:55 lr: 4.2563021268388e-05 loss: 0.1249 (0.1346) loss_seg: 0.1336 (0.1455) loss_lansim: 0.1146 (0.1138) loss_contra: 0.0002 (0.0163) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [6] [2930/5278] eta: 1:39:30 lr: 4.256085129101052e-05 loss: 0.1243 (0.1347) loss_seg: 0.1324 (0.1455) loss_lansim: 0.1130 (0.1138) loss_contra: 0.0005 (0.0162) time: 2.5600 data: 0.0025 max mem: 31671 Epoch: [6] [2940/5278] eta: 1:39:05 lr: 4.2558681301339985e-05 loss: 0.1249 (0.1348) loss_seg: 0.1355 (0.1457) loss_lansim: 0.1128 (0.1138) loss_contra: 0.0005 (0.0162) time: 2.5589 data: 0.0025 max mem: 31671 Epoch: [6] [2950/5278] eta: 1:38:38 lr: 4.255651129937562e-05 loss: 0.1237 (0.1348) loss_seg: 0.1336 (0.1457) loss_lansim: 0.1107 (0.1137) loss_contra: 0.0005 (0.0162) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [6] [2960/5278] eta: 1:38:13 lr: 4.2554341285116656e-05 loss: 0.1237 (0.1348) loss_seg: 0.1336 (0.1456) loss_lansim: 0.1120 (0.1138) loss_contra: 0.0005 (0.0161) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [6] [2970/5278] eta: 1:37:48 lr: 4.255217125856233e-05 loss: 0.1237 (0.1348) loss_seg: 0.1336 (0.1457) loss_lansim: 0.1120 (0.1138) loss_contra: 0.0005 (0.0161) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [6] [2980/5278] eta: 1:37:23 lr: 4.255000121971188e-05 loss: 0.1221 (0.1347) loss_seg: 0.1330 (0.1455) loss_lansim: 0.1124 (0.1138) loss_contra: 0.0006 (0.0164) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [6] [2990/5278] eta: 1:36:57 lr: 4.254783116856454e-05 loss: 0.1236 (0.1346) loss_seg: 0.1355 (0.1454) loss_lansim: 0.1136 (0.1138) loss_contra: 0.0007 (0.0164) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [6] [3000/5278] eta: 1:36:32 lr: 4.254566110511954e-05 loss: 0.1254 (0.1347) loss_seg: 0.1372 (0.1455) loss_lansim: 0.1142 (0.1139) loss_contra: 0.0006 (0.0163) time: 2.5551 data: 0.0025 max mem: 31671 Epoch: [6] [3010/5278] eta: 1:36:07 lr: 4.254349102937612e-05 loss: 0.1205 (0.1346) loss_seg: 0.1330 (0.1454) loss_lansim: 0.1139 (0.1139) loss_contra: 0.0008 (0.0164) time: 2.5570 data: 0.0026 max mem: 31671 Epoch: [6] [3020/5278] eta: 1:35:42 lr: 4.25413209413335e-05 loss: 0.1145 (0.1345) loss_seg: 0.1252 (0.1454) loss_lansim: 0.1139 (0.1139) loss_contra: 0.0008 (0.0164) time: 2.5545 data: 0.0026 max mem: 31671 Epoch: [6] [3030/5278] eta: 1:35:16 lr: 4.2539150840990916e-05 loss: 0.1193 (0.1346) loss_seg: 0.1271 (0.1454) loss_lansim: 0.1139 (0.1138) loss_contra: 0.0008 (0.0163) time: 2.5460 data: 0.0026 max mem: 31671 Epoch: [6] [3040/5278] eta: 1:34:50 lr: 4.2536980728347614e-05 loss: 0.1127 (0.1344) loss_seg: 0.1190 (0.1453) loss_lansim: 0.1139 (0.1138) loss_contra: 0.0010 (0.0164) time: 2.5416 data: 0.0026 max mem: 31671 Epoch: [6] [3050/5278] eta: 1:34:25 lr: 4.253481060340281e-05 loss: 0.1145 (0.1345) loss_seg: 0.1228 (0.1454) loss_lansim: 0.1143 (0.1138) loss_contra: 0.0010 (0.0164) time: 2.5530 data: 0.0026 max mem: 31671 Epoch: [6] [3060/5278] eta: 1:33:59 lr: 4.253264046615575e-05 loss: 0.1195 (0.1346) loss_seg: 0.1271 (0.1454) loss_lansim: 0.1142 (0.1138) loss_contra: 0.0010 (0.0164) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [6] [3070/5278] eta: 1:33:34 lr: 4.253047031660566e-05 loss: 0.1202 (0.1347) loss_seg: 0.1271 (0.1456) loss_lansim: 0.1126 (0.1138) loss_contra: 0.0010 (0.0164) time: 2.5407 data: 0.0026 max mem: 31671 Epoch: [6] [3080/5278] eta: 1:33:09 lr: 4.252830015475178e-05 loss: 0.1366 (0.1347) loss_seg: 0.1373 (0.1455) loss_lansim: 0.1112 (0.1138) loss_contra: 0.0004 (0.0163) time: 2.5534 data: 0.0026 max mem: 31671 Epoch: [6] [3090/5278] eta: 1:32:45 lr: 4.252612998059333e-05 loss: 0.1373 (0.1347) loss_seg: 0.1528 (0.1456) loss_lansim: 0.1100 (0.1138) loss_contra: 0.0002 (0.0164) time: 2.5643 data: 0.0026 max mem: 31671 Epoch: [6] [3100/5278] eta: 1:32:20 lr: 4.2523959794129556e-05 loss: 0.1390 (0.1348) loss_seg: 0.1506 (0.1457) loss_lansim: 0.1094 (0.1138) loss_contra: 0.0002 (0.0164) time: 2.5663 data: 0.0025 max mem: 31671 Epoch: [6] [3110/5278] eta: 1:31:55 lr: 4.252178959535968e-05 loss: 0.1395 (0.1349) loss_seg: 0.1546 (0.1458) loss_lansim: 0.1094 (0.1138) loss_contra: 0.0002 (0.0163) time: 2.5744 data: 0.0025 max mem: 31671 Epoch: [6] [3120/5278] eta: 1:31:29 lr: 4.251961938428294e-05 loss: 0.1415 (0.1350) loss_seg: 0.1566 (0.1459) loss_lansim: 0.1087 (0.1138) loss_contra: 0.0003 (0.0163) time: 2.5644 data: 0.0025 max mem: 31671 Epoch: [6] [3130/5278] eta: 1:31:03 lr: 4.251744916089857e-05 loss: 0.1398 (0.1349) loss_seg: 0.1546 (0.1458) loss_lansim: 0.1086 (0.1138) loss_contra: 0.0003 (0.0163) time: 2.5702 data: 0.0025 max mem: 31671 Epoch: [6] [3140/5278] eta: 1:30:37 lr: 4.25152789252058e-05 loss: 0.1426 (0.1349) loss_seg: 0.1566 (0.1458) loss_lansim: 0.1086 (0.1138) loss_contra: 0.0002 (0.0162) time: 2.5623 data: 0.0025 max mem: 31671 Epoch: [6] [3150/5278] eta: 1:30:11 lr: 4.2513108677203864e-05 loss: 0.1426 (0.1351) loss_seg: 0.1555 (0.1459) loss_lansim: 0.1094 (0.1138) loss_contra: 0.0002 (0.0162) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [6] [3160/5278] eta: 1:29:46 lr: 4.2510938416891975e-05 loss: 0.1366 (0.1350) loss_seg: 0.1465 (0.1459) loss_lansim: 0.1082 (0.1138) loss_contra: 0.0002 (0.0162) time: 2.5635 data: 0.0025 max mem: 31671 Epoch: [6] [3170/5278] eta: 1:29:21 lr: 4.25087681442694e-05 loss: 0.1363 (0.1349) loss_seg: 0.1434 (0.1458) loss_lansim: 0.1082 (0.1138) loss_contra: 0.0003 (0.0161) time: 2.5622 data: 0.0025 max mem: 31671 Epoch: [6] [3180/5278] eta: 1:28:56 lr: 4.250659785933534e-05 loss: 0.1363 (0.1350) loss_seg: 0.1465 (0.1459) loss_lansim: 0.1072 (0.1138) loss_contra: 0.0003 (0.0161) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [6] [3190/5278] eta: 1:28:30 lr: 4.250442756208904e-05 loss: 0.1353 (0.1351) loss_seg: 0.1429 (0.1460) loss_lansim: 0.1071 (0.1137) loss_contra: 0.0003 (0.0161) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [6] [3200/5278] eta: 1:28:05 lr: 4.250225725252974e-05 loss: 0.1317 (0.1353) loss_seg: 0.1401 (0.1462) loss_lansim: 0.1072 (0.1137) loss_contra: 0.0003 (0.0163) time: 2.5421 data: 0.0025 max mem: 31671 Epoch: [6] [3210/5278] eta: 1:27:40 lr: 4.2500086930656646e-05 loss: 0.1258 (0.1353) loss_seg: 0.1387 (0.1462) loss_lansim: 0.1071 (0.1137) loss_contra: 0.0003 (0.0162) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [6] [3220/5278] eta: 1:27:15 lr: 4.249791659646901e-05 loss: 0.1236 (0.1353) loss_seg: 0.1339 (0.1462) loss_lansim: 0.1071 (0.1137) loss_contra: 0.0002 (0.0162) time: 2.5527 data: 0.0026 max mem: 31671 Epoch: [6] [3230/5278] eta: 1:26:50 lr: 4.249574624996607e-05 loss: 0.1248 (0.1353) loss_seg: 0.1373 (0.1462) loss_lansim: 0.1102 (0.1137) loss_contra: 0.0002 (0.0162) time: 2.5578 data: 0.0026 max mem: 31671 Epoch: [6] [3240/5278] eta: 1:26:24 lr: 4.2493575891147034e-05 loss: 0.1205 (0.1352) loss_seg: 0.1315 (0.1461) loss_lansim: 0.1104 (0.1138) loss_contra: 0.0002 (0.0162) time: 2.5609 data: 0.0026 max mem: 31671 Epoch: [6] [3250/5278] eta: 1:25:58 lr: 4.249140552001115e-05 loss: 0.1181 (0.1351) loss_seg: 0.1287 (0.1460) loss_lansim: 0.1116 (0.1138) loss_contra: 0.0002 (0.0162) time: 2.5638 data: 0.0026 max mem: 31671 Epoch: [6] [3260/5278] eta: 1:25:33 lr: 4.2489235136557644e-05 loss: 0.1187 (0.1351) loss_seg: 0.1310 (0.1460) loss_lansim: 0.1147 (0.1138) loss_contra: 0.0002 (0.0162) time: 2.5551 data: 0.0026 max mem: 31671 Epoch: [6] [3270/5278] eta: 1:25:07 lr: 4.2487064740785746e-05 loss: 0.1181 (0.1351) loss_seg: 0.1294 (0.1460) loss_lansim: 0.1172 (0.1139) loss_contra: 0.0001 (0.0161) time: 2.5497 data: 0.0026 max mem: 31671 Epoch: [6] [3280/5278] eta: 1:24:42 lr: 4.2484894332694695e-05 loss: 0.1181 (0.1351) loss_seg: 0.1294 (0.1460) loss_lansim: 0.1172 (0.1139) loss_contra: 0.0002 (0.0161) time: 2.5516 data: 0.0026 max mem: 31671 Epoch: [6] [3290/5278] eta: 1:24:17 lr: 4.24827239122837e-05 loss: 0.1181 (0.1351) loss_seg: 0.1294 (0.1460) loss_lansim: 0.1174 (0.1139) loss_contra: 0.0002 (0.0160) time: 2.5553 data: 0.0026 max mem: 31671 Epoch: [6] [3300/5278] eta: 1:23:51 lr: 4.248055347955202e-05 loss: 0.1164 (0.1350) loss_seg: 0.1290 (0.1459) loss_lansim: 0.1176 (0.1139) loss_contra: 0.0003 (0.0160) time: 2.5502 data: 0.0026 max mem: 31671 Epoch: [6] [3310/5278] eta: 1:23:26 lr: 4.247838303449886e-05 loss: 0.1164 (0.1350) loss_seg: 0.1273 (0.1458) loss_lansim: 0.1176 (0.1139) loss_contra: 0.0002 (0.0159) time: 2.5405 data: 0.0026 max mem: 31671 Epoch: [6] [3320/5278] eta: 1:23:00 lr: 4.247621257712347e-05 loss: 0.1146 (0.1351) loss_seg: 0.1267 (0.1460) loss_lansim: 0.1196 (0.1139) loss_contra: 0.0003 (0.0159) time: 2.5361 data: 0.0026 max mem: 31671 Epoch: [6] [3330/5278] eta: 1:22:34 lr: 4.247404210742508e-05 loss: 0.1146 (0.1352) loss_seg: 0.1256 (0.1461) loss_lansim: 0.1188 (0.1139) loss_contra: 0.0003 (0.0159) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [6] [3340/5278] eta: 1:22:09 lr: 4.24718716254029e-05 loss: 0.1223 (0.1353) loss_seg: 0.1291 (0.1462) loss_lansim: 0.1188 (0.1139) loss_contra: 0.0003 (0.0160) time: 2.5309 data: 0.0026 max mem: 31671 Epoch: [6] [3350/5278] eta: 1:21:44 lr: 4.246970113105618e-05 loss: 0.1260 (0.1354) loss_seg: 0.1313 (0.1464) loss_lansim: 0.1157 (0.1139) loss_contra: 0.0004 (0.0161) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [6] [3360/5278] eta: 1:21:18 lr: 4.2467530624384145e-05 loss: 0.1223 (0.1354) loss_seg: 0.1295 (0.1463) loss_lansim: 0.1140 (0.1139) loss_contra: 0.0006 (0.0161) time: 2.5404 data: 0.0026 max mem: 31671 Epoch: [6] [3370/5278] eta: 1:20:53 lr: 4.246536010538602e-05 loss: 0.1292 (0.1355) loss_seg: 0.1323 (0.1465) loss_lansim: 0.1131 (0.1139) loss_contra: 0.0006 (0.0161) time: 2.5433 data: 0.0026 max mem: 31671 Epoch: [6] [3380/5278] eta: 1:20:27 lr: 4.246318957406104e-05 loss: 0.1260 (0.1355) loss_seg: 0.1313 (0.1464) loss_lansim: 0.1122 (0.1139) loss_contra: 0.0006 (0.0161) time: 2.5416 data: 0.0026 max mem: 31671 Epoch: [6] [3390/5278] eta: 1:20:02 lr: 4.246101903040843e-05 loss: 0.1280 (0.1355) loss_seg: 0.1341 (0.1464) loss_lansim: 0.1114 (0.1139) loss_contra: 0.0004 (0.0160) time: 2.5393 data: 0.0026 max mem: 31671 Epoch: [6] [3400/5278] eta: 1:19:37 lr: 4.2458848474427435e-05 loss: 0.1280 (0.1354) loss_seg: 0.1341 (0.1464) loss_lansim: 0.1102 (0.1138) loss_contra: 0.0003 (0.0160) time: 2.5401 data: 0.0026 max mem: 31671 Epoch: [6] [3410/5278] eta: 1:19:11 lr: 4.245667790611726e-05 loss: 0.1349 (0.1354) loss_seg: 0.1361 (0.1463) loss_lansim: 0.1102 (0.1138) loss_contra: 0.0006 (0.0160) time: 2.5380 data: 0.0026 max mem: 31671 Epoch: [6] [3420/5278] eta: 1:18:46 lr: 4.245450732547716e-05 loss: 0.1349 (0.1354) loss_seg: 0.1361 (0.1463) loss_lansim: 0.1088 (0.1138) loss_contra: 0.0003 (0.0160) time: 2.5406 data: 0.0026 max mem: 31671 Epoch: [6] [3430/5278] eta: 1:18:20 lr: 4.245233673250634e-05 loss: 0.1289 (0.1353) loss_seg: 0.1342 (0.1463) loss_lansim: 0.1081 (0.1138) loss_contra: 0.0003 (0.0160) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [6] [3440/5278] eta: 1:17:54 lr: 4.2450166127204056e-05 loss: 0.1289 (0.1354) loss_seg: 0.1396 (0.1464) loss_lansim: 0.1082 (0.1138) loss_contra: 0.0003 (0.0161) time: 2.5415 data: 0.0026 max mem: 31671 Epoch: [6] [3450/5278] eta: 1:17:29 lr: 4.2447995509569516e-05 loss: 0.1289 (0.1354) loss_seg: 0.1401 (0.1464) loss_lansim: 0.1093 (0.1139) loss_contra: 0.0002 (0.0160) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [6] [3460/5278] eta: 1:17:03 lr: 4.244582487960195e-05 loss: 0.1293 (0.1354) loss_seg: 0.1427 (0.1463) loss_lansim: 0.1093 (0.1138) loss_contra: 0.0002 (0.0160) time: 2.5367 data: 0.0026 max mem: 31671 Epoch: [6] [3470/5278] eta: 1:16:39 lr: 4.24436542373006e-05 loss: 0.1284 (0.1353) loss_seg: 0.1359 (0.1463) loss_lansim: 0.1096 (0.1138) loss_contra: 0.0002 (0.0161) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [6] [3480/5278] eta: 1:16:13 lr: 4.2441483582664685e-05 loss: 0.1226 (0.1352) loss_seg: 0.1342 (0.1462) loss_lansim: 0.1096 (0.1138) loss_contra: 0.0002 (0.0160) time: 2.5453 data: 0.0026 max mem: 31671 Epoch: [6] [3490/5278] eta: 1:15:48 lr: 4.243931291569345e-05 loss: 0.1222 (0.1352) loss_seg: 0.1334 (0.1461) loss_lansim: 0.1088 (0.1138) loss_contra: 0.0003 (0.0161) time: 2.5480 data: 0.0026 max mem: 31671 Epoch: [6] [3500/5278] eta: 1:15:22 lr: 4.2437142236386095e-05 loss: 0.1241 (0.1352) loss_seg: 0.1348 (0.1461) loss_lansim: 0.1103 (0.1138) loss_contra: 0.0005 (0.0161) time: 2.5462 data: 0.0026 max mem: 31671 Epoch: [6] [3510/5278] eta: 1:14:57 lr: 4.243497154474187e-05 loss: 0.1256 (0.1353) loss_seg: 0.1349 (0.1462) loss_lansim: 0.1103 (0.1138) loss_contra: 0.0003 (0.0160) time: 2.5582 data: 0.0026 max mem: 31671 Epoch: [6] [3520/5278] eta: 1:14:32 lr: 4.2432800840759995e-05 loss: 0.1226 (0.1353) loss_seg: 0.1342 (0.1462) loss_lansim: 0.1103 (0.1138) loss_contra: 0.0005 (0.0160) time: 2.5624 data: 0.0026 max mem: 31671 Epoch: [6] [3530/5278] eta: 1:14:07 lr: 4.2430630124439706e-05 loss: 0.1201 (0.1352) loss_seg: 0.1329 (0.1462) loss_lansim: 0.1112 (0.1139) loss_contra: 0.0006 (0.0160) time: 2.5714 data: 0.0026 max mem: 31671 Epoch: [6] [3540/5278] eta: 1:13:41 lr: 4.2428459395780234e-05 loss: 0.1164 (0.1352) loss_seg: 0.1268 (0.1461) loss_lansim: 0.1112 (0.1139) loss_contra: 0.0005 (0.0160) time: 2.5658 data: 0.0025 max mem: 31671 Epoch: [6] [3550/5278] eta: 1:13:15 lr: 4.24262886547808e-05 loss: 0.1164 (0.1352) loss_seg: 0.1268 (0.1462) loss_lansim: 0.1118 (0.1140) loss_contra: 0.0005 (0.0159) time: 2.5662 data: 0.0025 max mem: 31671 Epoch: [6] [3560/5278] eta: 1:12:50 lr: 4.2424117901440624e-05 loss: 0.1164 (0.1352) loss_seg: 0.1243 (0.1461) loss_lansim: 0.1134 (0.1140) loss_contra: 0.0005 (0.0159) time: 2.5596 data: 0.0025 max mem: 31671 Epoch: [6] [3570/5278] eta: 1:12:24 lr: 4.2421947135758954e-05 loss: 0.1164 (0.1351) loss_seg: 0.1243 (0.1460) loss_lansim: 0.1143 (0.1140) loss_contra: 0.0004 (0.0159) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [6] [3580/5278] eta: 1:11:59 lr: 4.2419776357735005e-05 loss: 0.1201 (0.1351) loss_seg: 0.1292 (0.1460) loss_lansim: 0.1159 (0.1140) loss_contra: 0.0004 (0.0158) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [6] [3590/5278] eta: 1:11:34 lr: 4.241760556736801e-05 loss: 0.1219 (0.1351) loss_seg: 0.1292 (0.1460) loss_lansim: 0.1183 (0.1140) loss_contra: 0.0003 (0.0159) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [6] [3600/5278] eta: 1:11:08 lr: 4.2415434764657184e-05 loss: 0.1219 (0.1351) loss_seg: 0.1292 (0.1459) loss_lansim: 0.1183 (0.1140) loss_contra: 0.0002 (0.0158) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [6] [3610/5278] eta: 1:10:43 lr: 4.2413263949601774e-05 loss: 0.1152 (0.1350) loss_seg: 0.1243 (0.1459) loss_lansim: 0.1183 (0.1140) loss_contra: 0.0002 (0.0158) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [6] [3620/5278] eta: 1:10:17 lr: 4.2411093122201e-05 loss: 0.1152 (0.1350) loss_seg: 0.1243 (0.1459) loss_lansim: 0.1197 (0.1140) loss_contra: 0.0002 (0.0157) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [6] [3630/5278] eta: 1:09:52 lr: 4.240892228245409e-05 loss: 0.1213 (0.1350) loss_seg: 0.1291 (0.1459) loss_lansim: 0.1197 (0.1141) loss_contra: 0.0002 (0.0160) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [6] [3640/5278] eta: 1:09:27 lr: 4.240675143036027e-05 loss: 0.1189 (0.1350) loss_seg: 0.1280 (0.1459) loss_lansim: 0.1190 (0.1141) loss_contra: 0.0002 (0.0163) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [6] [3650/5278] eta: 1:09:01 lr: 4.240458056591877e-05 loss: 0.1152 (0.1350) loss_seg: 0.1243 (0.1459) loss_lansim: 0.1156 (0.1141) loss_contra: 0.0002 (0.0163) time: 2.5539 data: 0.0026 max mem: 31671 Epoch: [6] [3660/5278] eta: 1:08:36 lr: 4.2402409689128805e-05 loss: 0.1173 (0.1350) loss_seg: 0.1280 (0.1459) loss_lansim: 0.1132 (0.1140) loss_contra: 0.0003 (0.0163) time: 2.5498 data: 0.0026 max mem: 31671 Epoch: [6] [3670/5278] eta: 1:08:11 lr: 4.240023879998963e-05 loss: 0.1181 (0.1350) loss_seg: 0.1301 (0.1459) loss_lansim: 0.1109 (0.1140) loss_contra: 0.0003 (0.0164) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [6] [3680/5278] eta: 1:07:45 lr: 4.2398067898500444e-05 loss: 0.1181 (0.1350) loss_seg: 0.1306 (0.1459) loss_lansim: 0.1102 (0.1140) loss_contra: 0.0003 (0.0164) time: 2.5691 data: 0.0025 max mem: 31671 Epoch: [6] [3690/5278] eta: 1:07:20 lr: 4.239589698466048e-05 loss: 0.1173 (0.1349) loss_seg: 0.1280 (0.1459) loss_lansim: 0.1094 (0.1140) loss_contra: 0.0003 (0.0164) time: 2.5622 data: 0.0025 max mem: 31671 Epoch: [6] [3700/5278] eta: 1:06:55 lr: 4.239372605846899e-05 loss: 0.1150 (0.1349) loss_seg: 0.1221 (0.1458) loss_lansim: 0.1091 (0.1140) loss_contra: 0.0003 (0.0163) time: 2.5656 data: 0.0025 max mem: 31671 Epoch: [6] [3710/5278] eta: 1:06:29 lr: 4.239155511992517e-05 loss: 0.1173 (0.1350) loss_seg: 0.1278 (0.1459) loss_lansim: 0.1086 (0.1140) loss_contra: 0.0003 (0.0163) time: 2.5694 data: 0.0025 max mem: 31671 Epoch: [6] [3720/5278] eta: 1:06:04 lr: 4.238938416902825e-05 loss: 0.1173 (0.1349) loss_seg: 0.1273 (0.1459) loss_lansim: 0.1080 (0.1139) loss_contra: 0.0004 (0.0163) time: 2.5674 data: 0.0025 max mem: 31671 Epoch: [6] [3730/5278] eta: 1:05:39 lr: 4.2387213205777475e-05 loss: 0.1173 (0.1349) loss_seg: 0.1278 (0.1459) loss_lansim: 0.1076 (0.1139) loss_contra: 0.0004 (0.0163) time: 2.5661 data: 0.0025 max mem: 31671 Epoch: [6] [3740/5278] eta: 1:05:13 lr: 4.238504223017206e-05 loss: 0.1150 (0.1348) loss_seg: 0.1257 (0.1458) loss_lansim: 0.1070 (0.1139) loss_contra: 0.0004 (0.0163) time: 2.5637 data: 0.0025 max mem: 31671 Epoch: [6] [3750/5278] eta: 1:04:47 lr: 4.2382871242211224e-05 loss: 0.1150 (0.1348) loss_seg: 0.1221 (0.1457) loss_lansim: 0.1064 (0.1139) loss_contra: 0.0004 (0.0164) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [6] [3760/5278] eta: 1:04:22 lr: 4.238070024189421e-05 loss: 0.1121 (0.1348) loss_seg: 0.1189 (0.1457) loss_lansim: 0.1067 (0.1138) loss_contra: 0.0004 (0.0164) time: 2.5584 data: 0.0025 max mem: 31671 Epoch: [6] [3770/5278] eta: 1:03:57 lr: 4.2378529229220235e-05 loss: 0.1173 (0.1348) loss_seg: 0.1212 (0.1458) loss_lansim: 0.1064 (0.1138) loss_contra: 0.0004 (0.0164) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [6] [3780/5278] eta: 1:03:31 lr: 4.2376358204188535e-05 loss: 0.1223 (0.1349) loss_seg: 0.1318 (0.1458) loss_lansim: 0.1064 (0.1138) loss_contra: 0.0005 (0.0163) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [6] [3790/5278] eta: 1:03:06 lr: 4.237418716679833e-05 loss: 0.1296 (0.1351) loss_seg: 0.1367 (0.1460) loss_lansim: 0.1060 (0.1138) loss_contra: 0.0004 (0.0163) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [6] [3800/5278] eta: 1:02:40 lr: 4.237201611704883e-05 loss: 0.1313 (0.1351) loss_seg: 0.1416 (0.1460) loss_lansim: 0.1072 (0.1138) loss_contra: 0.0005 (0.0163) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [6] [3810/5278] eta: 1:02:15 lr: 4.236984505493928e-05 loss: 0.1276 (0.1352) loss_seg: 0.1359 (0.1461) loss_lansim: 0.1088 (0.1138) loss_contra: 0.0006 (0.0163) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [6] [3820/5278] eta: 1:01:50 lr: 4.2367673980468904e-05 loss: 0.1307 (0.1352) loss_seg: 0.1415 (0.1462) loss_lansim: 0.1097 (0.1139) loss_contra: 0.0005 (0.0162) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [6] [3830/5278] eta: 1:01:24 lr: 4.2365502893636935e-05 loss: 0.1313 (0.1353) loss_seg: 0.1422 (0.1462) loss_lansim: 0.1098 (0.1139) loss_contra: 0.0007 (0.0162) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [6] [3840/5278] eta: 1:00:59 lr: 4.2363331794442575e-05 loss: 0.1341 (0.1353) loss_seg: 0.1444 (0.1462) loss_lansim: 0.1102 (0.1139) loss_contra: 0.0006 (0.0162) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [6] [3850/5278] eta: 1:00:33 lr: 4.2361160682885064e-05 loss: 0.1377 (0.1353) loss_seg: 0.1488 (0.1462) loss_lansim: 0.1102 (0.1139) loss_contra: 0.0006 (0.0162) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [6] [3860/5278] eta: 1:00:08 lr: 4.235898955896364e-05 loss: 0.1352 (0.1353) loss_seg: 0.1477 (0.1462) loss_lansim: 0.1102 (0.1139) loss_contra: 0.0005 (0.0161) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [6] [3870/5278] eta: 0:59:42 lr: 4.23568184226775e-05 loss: 0.1313 (0.1352) loss_seg: 0.1444 (0.1462) loss_lansim: 0.1102 (0.1139) loss_contra: 0.0004 (0.0161) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [6] [3880/5278] eta: 0:59:17 lr: 4.23546472740259e-05 loss: 0.1298 (0.1353) loss_seg: 0.1443 (0.1463) loss_lansim: 0.1122 (0.1139) loss_contra: 0.0004 (0.0161) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [6] [3890/5278] eta: 0:58:51 lr: 4.235247611300803e-05 loss: 0.1244 (0.1353) loss_seg: 0.1382 (0.1462) loss_lansim: 0.1122 (0.1139) loss_contra: 0.0003 (0.0160) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [6] [3900/5278] eta: 0:58:26 lr: 4.2350304939623146e-05 loss: 0.1273 (0.1352) loss_seg: 0.1382 (0.1462) loss_lansim: 0.1108 (0.1139) loss_contra: 0.0002 (0.0160) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [6] [3910/5278] eta: 0:58:00 lr: 4.2348133753870476e-05 loss: 0.1244 (0.1352) loss_seg: 0.1359 (0.1461) loss_lansim: 0.1098 (0.1138) loss_contra: 0.0002 (0.0160) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [6] [3920/5278] eta: 0:57:35 lr: 4.234596255574921e-05 loss: 0.1244 (0.1352) loss_seg: 0.1359 (0.1461) loss_lansim: 0.1089 (0.1138) loss_contra: 0.0002 (0.0160) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [6] [3930/5278] eta: 0:57:09 lr: 4.2343791345258606e-05 loss: 0.1185 (0.1352) loss_seg: 0.1297 (0.1461) loss_lansim: 0.1079 (0.1138) loss_contra: 0.0002 (0.0160) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [6] [3940/5278] eta: 0:56:44 lr: 4.2341620122397876e-05 loss: 0.1193 (0.1352) loss_seg: 0.1309 (0.1461) loss_lansim: 0.1086 (0.1138) loss_contra: 0.0001 (0.0159) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [6] [3950/5278] eta: 0:56:18 lr: 4.233944888716625e-05 loss: 0.1180 (0.1352) loss_seg: 0.1247 (0.1461) loss_lansim: 0.1108 (0.1138) loss_contra: 0.0001 (0.0160) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [6] [3960/5278] eta: 0:55:53 lr: 4.2337277639562936e-05 loss: 0.1177 (0.1351) loss_seg: 0.1232 (0.1460) loss_lansim: 0.1089 (0.1138) loss_contra: 0.0002 (0.0161) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [6] [3970/5278] eta: 0:55:27 lr: 4.233510637958718e-05 loss: 0.1193 (0.1352) loss_seg: 0.1309 (0.1461) loss_lansim: 0.1089 (0.1138) loss_contra: 0.0003 (0.0161) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [6] [3980/5278] eta: 0:55:02 lr: 4.23329351072382e-05 loss: 0.1128 (0.1352) loss_seg: 0.1243 (0.1462) loss_lansim: 0.1079 (0.1138) loss_contra: 0.0005 (0.0161) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [6] [3990/5278] eta: 0:54:36 lr: 4.233076382251521e-05 loss: 0.1180 (0.1352) loss_seg: 0.1290 (0.1462) loss_lansim: 0.1085 (0.1137) loss_contra: 0.0005 (0.0161) time: 2.5370 data: 0.0026 max mem: 31671 Epoch: [6] [4000/5278] eta: 0:54:11 lr: 4.232859252541745e-05 loss: 0.1185 (0.1352) loss_seg: 0.1297 (0.1462) loss_lansim: 0.1086 (0.1137) loss_contra: 0.0007 (0.0161) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [6] [4010/5278] eta: 0:53:45 lr: 4.232642121594413e-05 loss: 0.1193 (0.1353) loss_seg: 0.1309 (0.1463) loss_lansim: 0.1087 (0.1137) loss_contra: 0.0007 (0.0160) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [6] [4020/5278] eta: 0:53:20 lr: 4.232424989409448e-05 loss: 0.1180 (0.1352) loss_seg: 0.1297 (0.1462) loss_lansim: 0.1087 (0.1137) loss_contra: 0.0008 (0.0160) time: 2.5362 data: 0.0026 max mem: 31671 Epoch: [6] [4030/5278] eta: 0:52:55 lr: 4.232207855986773e-05 loss: 0.1128 (0.1352) loss_seg: 0.1253 (0.1462) loss_lansim: 0.1085 (0.1137) loss_contra: 0.0010 (0.0160) time: 2.5414 data: 0.0026 max mem: 31671 Epoch: [6] [4040/5278] eta: 0:52:29 lr: 4.2319907213263096e-05 loss: 0.1128 (0.1352) loss_seg: 0.1253 (0.1462) loss_lansim: 0.1063 (0.1137) loss_contra: 0.0010 (0.0160) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [6] [4050/5278] eta: 0:52:04 lr: 4.23177358542798e-05 loss: 0.1206 (0.1353) loss_seg: 0.1339 (0.1462) loss_lansim: 0.1059 (0.1137) loss_contra: 0.0010 (0.0160) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [6] [4060/5278] eta: 0:51:39 lr: 4.231556448291707e-05 loss: 0.1208 (0.1353) loss_seg: 0.1339 (0.1462) loss_lansim: 0.1052 (0.1136) loss_contra: 0.0008 (0.0159) time: 2.5496 data: 0.0025 max mem: 31671 Epoch: [6] [4070/5278] eta: 0:51:13 lr: 4.2313393099174136e-05 loss: 0.1208 (0.1353) loss_seg: 0.1339 (0.1463) loss_lansim: 0.1059 (0.1136) loss_contra: 0.0006 (0.0159) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [6] [4080/5278] eta: 0:50:48 lr: 4.231122170305021e-05 loss: 0.1270 (0.1353) loss_seg: 0.1414 (0.1463) loss_lansim: 0.1063 (0.1136) loss_contra: 0.0004 (0.0159) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [6] [4090/5278] eta: 0:50:22 lr: 4.2309050294544514e-05 loss: 0.1270 (0.1353) loss_seg: 0.1414 (0.1463) loss_lansim: 0.1062 (0.1136) loss_contra: 0.0005 (0.0158) time: 2.5496 data: 0.0025 max mem: 31671 Epoch: [6] [4100/5278] eta: 0:49:57 lr: 4.230687887365628e-05 loss: 0.1267 (0.1352) loss_seg: 0.1346 (0.1462) loss_lansim: 0.1054 (0.1136) loss_contra: 0.0003 (0.0158) time: 2.5577 data: 0.0025 max mem: 31671 Epoch: [6] [4110/5278] eta: 0:49:31 lr: 4.2304707440384736e-05 loss: 0.1270 (0.1354) loss_seg: 0.1406 (0.1463) loss_lansim: 0.1043 (0.1136) loss_contra: 0.0005 (0.0158) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [6] [4120/5278] eta: 0:49:06 lr: 4.2302535994729106e-05 loss: 0.1294 (0.1354) loss_seg: 0.1435 (0.1464) loss_lansim: 0.1047 (0.1136) loss_contra: 0.0003 (0.0158) time: 2.5528 data: 0.0024 max mem: 31671 Epoch: [6] [4130/5278] eta: 0:48:40 lr: 4.230036453668859e-05 loss: 0.1294 (0.1354) loss_seg: 0.1435 (0.1463) loss_lansim: 0.1056 (0.1136) loss_contra: 0.0002 (0.0158) time: 2.5512 data: 0.0024 max mem: 31671 Epoch: [6] [4140/5278] eta: 0:48:15 lr: 4.229819306626243e-05 loss: 0.1272 (0.1354) loss_seg: 0.1406 (0.1463) loss_lansim: 0.1082 (0.1136) loss_contra: 0.0002 (0.0158) time: 2.5574 data: 0.0024 max mem: 31671 Epoch: [6] [4150/5278] eta: 0:47:50 lr: 4.229602158344984e-05 loss: 0.1278 (0.1354) loss_seg: 0.1422 (0.1464) loss_lansim: 0.1082 (0.1135) loss_contra: 0.0001 (0.0157) time: 2.5551 data: 0.0024 max mem: 31671 Epoch: [6] [4160/5278] eta: 0:47:24 lr: 4.2293850088250054e-05 loss: 0.1283 (0.1356) loss_seg: 0.1425 (0.1465) loss_lansim: 0.1099 (0.1135) loss_contra: 0.0001 (0.0158) time: 2.5479 data: 0.0024 max mem: 31671 Epoch: [6] [4170/5278] eta: 0:46:59 lr: 4.229167858066228e-05 loss: 0.1278 (0.1355) loss_seg: 0.1422 (0.1465) loss_lansim: 0.1099 (0.1135) loss_contra: 0.0001 (0.0158) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [6] [4180/5278] eta: 0:46:33 lr: 4.228950706068575e-05 loss: 0.1272 (0.1357) loss_seg: 0.1409 (0.1467) loss_lansim: 0.1068 (0.1135) loss_contra: 0.0002 (0.0158) time: 2.5504 data: 0.0024 max mem: 31671 Epoch: [6] [4190/5278] eta: 0:46:08 lr: 4.228733552831969e-05 loss: 0.1267 (0.1357) loss_seg: 0.1355 (0.1467) loss_lansim: 0.1083 (0.1135) loss_contra: 0.0002 (0.0159) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [6] [4200/5278] eta: 0:45:42 lr: 4.228516398356332e-05 loss: 0.1278 (0.1358) loss_seg: 0.1422 (0.1468) loss_lansim: 0.1099 (0.1135) loss_contra: 0.0002 (0.0159) time: 2.5292 data: 0.0024 max mem: 31671 Epoch: [6] [4210/5278] eta: 0:45:17 lr: 4.2282992426415854e-05 loss: 0.1267 (0.1358) loss_seg: 0.1409 (0.1468) loss_lansim: 0.1099 (0.1135) loss_contra: 0.0002 (0.0159) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [6] [4220/5278] eta: 0:44:51 lr: 4.228082085687652e-05 loss: 0.1278 (0.1358) loss_seg: 0.1409 (0.1468) loss_lansim: 0.1099 (0.1135) loss_contra: 0.0002 (0.0158) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [6] [4230/5278] eta: 0:44:26 lr: 4.227864927494455e-05 loss: 0.1278 (0.1358) loss_seg: 0.1409 (0.1468) loss_lansim: 0.1099 (0.1135) loss_contra: 0.0002 (0.0158) time: 2.5263 data: 0.0024 max mem: 31671 Epoch: [6] [4240/5278] eta: 0:44:00 lr: 4.227647768061914e-05 loss: 0.1258 (0.1357) loss_seg: 0.1378 (0.1467) loss_lansim: 0.1103 (0.1135) loss_contra: 0.0002 (0.0158) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [6] [4250/5278] eta: 0:43:35 lr: 4.227430607389954e-05 loss: 0.1237 (0.1357) loss_seg: 0.1333 (0.1467) loss_lansim: 0.1101 (0.1135) loss_contra: 0.0002 (0.0158) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [6] [4260/5278] eta: 0:43:09 lr: 4.227213445478495e-05 loss: 0.1237 (0.1357) loss_seg: 0.1333 (0.1467) loss_lansim: 0.1095 (0.1135) loss_contra: 0.0002 (0.0158) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [6] [4270/5278] eta: 0:42:44 lr: 4.2269962823274604e-05 loss: 0.1237 (0.1357) loss_seg: 0.1322 (0.1467) loss_lansim: 0.1095 (0.1135) loss_contra: 0.0003 (0.0158) time: 2.5299 data: 0.0025 max mem: 31671 Epoch: [6] [4280/5278] eta: 0:42:19 lr: 4.2267791179367735e-05 loss: 0.1168 (0.1357) loss_seg: 0.1254 (0.1467) loss_lansim: 0.1092 (0.1135) loss_contra: 0.0004 (0.0158) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [6] [4290/5278] eta: 0:41:53 lr: 4.2265619523063536e-05 loss: 0.1168 (0.1356) loss_seg: 0.1244 (0.1466) loss_lansim: 0.1078 (0.1135) loss_contra: 0.0005 (0.0157) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [6] [4300/5278] eta: 0:41:28 lr: 4.226344785436125e-05 loss: 0.1135 (0.1357) loss_seg: 0.1243 (0.1467) loss_lansim: 0.1069 (0.1134) loss_contra: 0.0005 (0.0158) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [6] [4310/5278] eta: 0:41:02 lr: 4.2261276173260084e-05 loss: 0.1131 (0.1357) loss_seg: 0.1227 (0.1467) loss_lansim: 0.1065 (0.1134) loss_contra: 0.0005 (0.0158) time: 2.5555 data: 0.0025 max mem: 31671 Epoch: [6] [4320/5278] eta: 0:40:37 lr: 4.225910447975927e-05 loss: 0.1104 (0.1356) loss_seg: 0.1196 (0.1466) loss_lansim: 0.1051 (0.1134) loss_contra: 0.0006 (0.0157) time: 2.5622 data: 0.0025 max mem: 31671 Epoch: [6] [4330/5278] eta: 0:40:12 lr: 4.2256932773858035e-05 loss: 0.1038 (0.1356) loss_seg: 0.1133 (0.1466) loss_lansim: 0.1047 (0.1134) loss_contra: 0.0006 (0.0157) time: 2.5636 data: 0.0025 max mem: 31671 Epoch: [6] [4340/5278] eta: 0:39:46 lr: 4.2254761055555584e-05 loss: 0.1028 (0.1356) loss_seg: 0.1092 (0.1466) loss_lansim: 0.1046 (0.1134) loss_contra: 0.0005 (0.0157) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [6] [4350/5278] eta: 0:39:21 lr: 4.225258932485114e-05 loss: 0.1028 (0.1357) loss_seg: 0.1123 (0.1467) loss_lansim: 0.1032 (0.1133) loss_contra: 0.0005 (0.0157) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [6] [4360/5278] eta: 0:38:55 lr: 4.225041758174394e-05 loss: 0.1119 (0.1357) loss_seg: 0.1193 (0.1467) loss_lansim: 0.1032 (0.1134) loss_contra: 0.0006 (0.0157) time: 2.5573 data: 0.0025 max mem: 31671 Epoch: [6] [4370/5278] eta: 0:38:30 lr: 4.224824582623318e-05 loss: 0.1119 (0.1357) loss_seg: 0.1193 (0.1467) loss_lansim: 0.1026 (0.1133) loss_contra: 0.0005 (0.0156) time: 2.5578 data: 0.0025 max mem: 31671 Epoch: [6] [4380/5278] eta: 0:38:04 lr: 4.224607405831811e-05 loss: 0.1164 (0.1357) loss_seg: 0.1275 (0.1467) loss_lansim: 0.1027 (0.1133) loss_contra: 0.0005 (0.0156) time: 2.5497 data: 0.0026 max mem: 31671 Epoch: [6] [4390/5278] eta: 0:37:39 lr: 4.2243902277997924e-05 loss: 0.1258 (0.1357) loss_seg: 0.1312 (0.1467) loss_lansim: 0.1032 (0.1133) loss_contra: 0.0003 (0.0156) time: 2.5462 data: 0.0026 max mem: 31671 Epoch: [6] [4400/5278] eta: 0:37:13 lr: 4.224173048527186e-05 loss: 0.1296 (0.1358) loss_seg: 0.1406 (0.1468) loss_lansim: 0.1031 (0.1133) loss_contra: 0.0003 (0.0156) time: 2.5446 data: 0.0026 max mem: 31671 Epoch: [6] [4410/5278] eta: 0:36:48 lr: 4.223955868013913e-05 loss: 0.1296 (0.1357) loss_seg: 0.1350 (0.1467) loss_lansim: 0.1037 (0.1133) loss_contra: 0.0004 (0.0156) time: 2.5537 data: 0.0026 max mem: 31671 Epoch: [6] [4420/5278] eta: 0:36:23 lr: 4.223738686259895e-05 loss: 0.1323 (0.1357) loss_seg: 0.1429 (0.1467) loss_lansim: 0.1072 (0.1133) loss_contra: 0.0003 (0.0156) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [6] [4430/5278] eta: 0:35:57 lr: 4.223521503265055e-05 loss: 0.1327 (0.1357) loss_seg: 0.1460 (0.1467) loss_lansim: 0.1072 (0.1133) loss_contra: 0.0003 (0.0156) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [6] [4440/5278] eta: 0:35:32 lr: 4.223304319029316e-05 loss: 0.1336 (0.1358) loss_seg: 0.1471 (0.1468) loss_lansim: 0.1082 (0.1133) loss_contra: 0.0005 (0.0157) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [6] [4450/5278] eta: 0:35:06 lr: 4.2230871335525976e-05 loss: 0.1323 (0.1358) loss_seg: 0.1429 (0.1468) loss_lansim: 0.1092 (0.1132) loss_contra: 0.0006 (0.0159) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [6] [4460/5278] eta: 0:34:41 lr: 4.222869946834822e-05 loss: 0.1336 (0.1358) loss_seg: 0.1471 (0.1469) loss_lansim: 0.1091 (0.1132) loss_contra: 0.0006 (0.0159) time: 2.5404 data: 0.0025 max mem: 31671 Epoch: [6] [4470/5278] eta: 0:34:15 lr: 4.222652758875913e-05 loss: 0.1321 (0.1358) loss_seg: 0.1429 (0.1468) loss_lansim: 0.1072 (0.1132) loss_contra: 0.0007 (0.0159) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [6] [4480/5278] eta: 0:33:50 lr: 4.222435569675792e-05 loss: 0.1286 (0.1358) loss_seg: 0.1342 (0.1468) loss_lansim: 0.1071 (0.1132) loss_contra: 0.0007 (0.0158) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [6] [4490/5278] eta: 0:33:24 lr: 4.22221837923438e-05 loss: 0.1286 (0.1358) loss_seg: 0.1326 (0.1468) loss_lansim: 0.1082 (0.1132) loss_contra: 0.0008 (0.0159) time: 2.5382 data: 0.0024 max mem: 31671 Epoch: [6] [4500/5278] eta: 0:32:59 lr: 4.2220011875516e-05 loss: 0.1208 (0.1358) loss_seg: 0.1319 (0.1468) loss_lansim: 0.1086 (0.1131) loss_contra: 0.0007 (0.0159) time: 2.5457 data: 0.0024 max mem: 31671 Epoch: [6] [4510/5278] eta: 0:32:34 lr: 4.221783994627373e-05 loss: 0.1261 (0.1358) loss_seg: 0.1342 (0.1468) loss_lansim: 0.1056 (0.1131) loss_contra: 0.0007 (0.0158) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [6] [4520/5278] eta: 0:32:08 lr: 4.2215668004616217e-05 loss: 0.1261 (0.1358) loss_seg: 0.1342 (0.1469) loss_lansim: 0.1048 (0.1131) loss_contra: 0.0008 (0.0158) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [6] [4530/5278] eta: 0:31:43 lr: 4.2213496050542673e-05 loss: 0.1267 (0.1358) loss_seg: 0.1403 (0.1469) loss_lansim: 0.1039 (0.1131) loss_contra: 0.0008 (0.0159) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [6] [4540/5278] eta: 0:31:17 lr: 4.221132408405233e-05 loss: 0.1287 (0.1359) loss_seg: 0.1408 (0.1469) loss_lansim: 0.1025 (0.1131) loss_contra: 0.0007 (0.0159) time: 2.5483 data: 0.0025 max mem: 31671 Epoch: [6] [4550/5278] eta: 0:30:52 lr: 4.220915210514439e-05 loss: 0.1261 (0.1358) loss_seg: 0.1397 (0.1469) loss_lansim: 0.1007 (0.1130) loss_contra: 0.0007 (0.0159) time: 2.5560 data: 0.0025 max mem: 31671 Epoch: [6] [4560/5278] eta: 0:30:26 lr: 4.22069801138181e-05 loss: 0.1208 (0.1359) loss_seg: 0.1342 (0.1469) loss_lansim: 0.1011 (0.1130) loss_contra: 0.0006 (0.0158) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [6] [4570/5278] eta: 0:30:01 lr: 4.2204808110072644e-05 loss: 0.1262 (0.1359) loss_seg: 0.1397 (0.1470) loss_lansim: 0.1023 (0.1130) loss_contra: 0.0007 (0.0158) time: 2.5464 data: 0.0025 max mem: 31671 Epoch: [6] [4580/5278] eta: 0:29:35 lr: 4.220263609390726e-05 loss: 0.1287 (0.1360) loss_seg: 0.1408 (0.1470) loss_lansim: 0.1020 (0.1130) loss_contra: 0.0006 (0.0158) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [6] [4590/5278] eta: 0:29:10 lr: 4.220046406532117e-05 loss: 0.1262 (0.1360) loss_seg: 0.1397 (0.1470) loss_lansim: 0.1015 (0.1129) loss_contra: 0.0004 (0.0158) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [6] [4600/5278] eta: 0:28:44 lr: 4.2198292024313576e-05 loss: 0.1262 (0.1360) loss_seg: 0.1329 (0.1470) loss_lansim: 0.1015 (0.1129) loss_contra: 0.0002 (0.0158) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [6] [4610/5278] eta: 0:28:19 lr: 4.2196119970883705e-05 loss: 0.1248 (0.1359) loss_seg: 0.1274 (0.1469) loss_lansim: 0.1020 (0.1129) loss_contra: 0.0003 (0.0158) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [6] [4620/5278] eta: 0:27:53 lr: 4.219394790503079e-05 loss: 0.1262 (0.1359) loss_seg: 0.1375 (0.1469) loss_lansim: 0.1011 (0.1129) loss_contra: 0.0002 (0.0157) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [6] [4630/5278] eta: 0:27:28 lr: 4.219177582675403e-05 loss: 0.1237 (0.1359) loss_seg: 0.1308 (0.1469) loss_lansim: 0.1009 (0.1128) loss_contra: 0.0003 (0.0157) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [6] [4640/5278] eta: 0:27:02 lr: 4.218960373605265e-05 loss: 0.1142 (0.1358) loss_seg: 0.1219 (0.1468) loss_lansim: 0.1003 (0.1128) loss_contra: 0.0002 (0.0157) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [6] [4650/5278] eta: 0:26:37 lr: 4.2187431632925875e-05 loss: 0.1218 (0.1359) loss_seg: 0.1270 (0.1469) loss_lansim: 0.1003 (0.1128) loss_contra: 0.0002 (0.0157) time: 2.4931 data: 0.0026 max mem: 31671 Epoch: [6] [4660/5278] eta: 0:26:11 lr: 4.218525951737291e-05 loss: 0.1237 (0.1360) loss_seg: 0.1328 (0.1470) loss_lansim: 0.1004 (0.1128) loss_contra: 0.0002 (0.0157) time: 2.4962 data: 0.0026 max mem: 31671 Epoch: [6] [4670/5278] eta: 0:25:46 lr: 4.218308738939297e-05 loss: 0.1237 (0.1359) loss_seg: 0.1352 (0.1470) loss_lansim: 0.1005 (0.1128) loss_contra: 0.0002 (0.0156) time: 2.4976 data: 0.0025 max mem: 31671 Epoch: [6] [4680/5278] eta: 0:25:20 lr: 4.2180915248985297e-05 loss: 0.1232 (0.1360) loss_seg: 0.1352 (0.1470) loss_lansim: 0.1008 (0.1127) loss_contra: 0.0002 (0.0156) time: 2.5045 data: 0.0026 max mem: 31671 Epoch: [6] [4690/5278] eta: 0:24:55 lr: 4.217874309614909e-05 loss: 0.1197 (0.1359) loss_seg: 0.1308 (0.1469) loss_lansim: 0.1007 (0.1127) loss_contra: 0.0003 (0.0156) time: 2.5029 data: 0.0026 max mem: 31671 Epoch: [6] [4700/5278] eta: 0:24:29 lr: 4.217657093088357e-05 loss: 0.1222 (0.1359) loss_seg: 0.1328 (0.1469) loss_lansim: 0.1008 (0.1127) loss_contra: 0.0003 (0.0156) time: 2.5005 data: 0.0026 max mem: 31671 Epoch: [6] [4710/5278] eta: 0:24:04 lr: 4.217439875318795e-05 loss: 0.1237 (0.1359) loss_seg: 0.1358 (0.1470) loss_lansim: 0.1008 (0.1127) loss_contra: 0.0003 (0.0155) time: 2.4982 data: 0.0026 max mem: 31671 Epoch: [6] [4720/5278] eta: 0:23:39 lr: 4.217222656306146e-05 loss: 0.1222 (0.1360) loss_seg: 0.1328 (0.1470) loss_lansim: 0.1009 (0.1126) loss_contra: 0.0004 (0.0157) time: 2.5069 data: 0.0027 max mem: 31671 Epoch: [6] [4730/5278] eta: 0:23:13 lr: 4.2170054360503306e-05 loss: 0.1232 (0.1360) loss_seg: 0.1344 (0.1470) loss_lansim: 0.1026 (0.1127) loss_contra: 0.0003 (0.0157) time: 2.5074 data: 0.0026 max mem: 31671 Epoch: [6] [4740/5278] eta: 0:22:48 lr: 4.216788214551271e-05 loss: 0.1353 (0.1359) loss_seg: 0.1367 (0.1469) loss_lansim: 0.1041 (0.1127) loss_contra: 0.0004 (0.0156) time: 2.5149 data: 0.0026 max mem: 31671 Epoch: [6] [4750/5278] eta: 0:22:22 lr: 4.2165709918088894e-05 loss: 0.1222 (0.1359) loss_seg: 0.1327 (0.1469) loss_lansim: 0.1042 (0.1127) loss_contra: 0.0004 (0.0156) time: 2.5247 data: 0.0026 max mem: 31671 Epoch: [6] [4760/5278] eta: 0:21:57 lr: 4.216353767823106e-05 loss: 0.1197 (0.1360) loss_seg: 0.1325 (0.1470) loss_lansim: 0.1052 (0.1127) loss_contra: 0.0005 (0.0156) time: 2.5240 data: 0.0026 max mem: 31671 Epoch: [6] [4770/5278] eta: 0:21:31 lr: 4.216136542593844e-05 loss: 0.1197 (0.1359) loss_seg: 0.1315 (0.1469) loss_lansim: 0.1071 (0.1127) loss_contra: 0.0004 (0.0156) time: 2.5273 data: 0.0026 max mem: 31671 Epoch: [6] [4780/5278] eta: 0:21:06 lr: 4.2159193161210253e-05 loss: 0.1197 (0.1359) loss_seg: 0.1277 (0.1469) loss_lansim: 0.1071 (0.1127) loss_contra: 0.0004 (0.0156) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [6] [4790/5278] eta: 0:20:41 lr: 4.21570208840457e-05 loss: 0.1262 (0.1359) loss_seg: 0.1344 (0.1469) loss_lansim: 0.1097 (0.1127) loss_contra: 0.0003 (0.0155) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [6] [4800/5278] eta: 0:20:15 lr: 4.215484859444401e-05 loss: 0.1267 (0.1359) loss_seg: 0.1344 (0.1469) loss_lansim: 0.1124 (0.1127) loss_contra: 0.0004 (0.0155) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [6] [4810/5278] eta: 0:19:50 lr: 4.2152676292404394e-05 loss: 0.1249 (0.1359) loss_seg: 0.1331 (0.1469) loss_lansim: 0.1131 (0.1127) loss_contra: 0.0004 (0.0155) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [6] [4820/5278] eta: 0:19:24 lr: 4.215050397792607e-05 loss: 0.1238 (0.1359) loss_seg: 0.1327 (0.1469) loss_lansim: 0.1131 (0.1127) loss_contra: 0.0003 (0.0154) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [6] [4830/5278] eta: 0:18:59 lr: 4.214833165100827e-05 loss: 0.1197 (0.1358) loss_seg: 0.1263 (0.1468) loss_lansim: 0.1125 (0.1127) loss_contra: 0.0003 (0.0154) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [6] [4840/5278] eta: 0:18:33 lr: 4.2146159311650175e-05 loss: 0.1176 (0.1358) loss_seg: 0.1255 (0.1468) loss_lansim: 0.1116 (0.1127) loss_contra: 0.0002 (0.0154) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [6] [4850/5278] eta: 0:18:08 lr: 4.214398695985103e-05 loss: 0.1168 (0.1358) loss_seg: 0.1255 (0.1467) loss_lansim: 0.1124 (0.1127) loss_contra: 0.0002 (0.0154) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [6] [4860/5278] eta: 0:17:42 lr: 4.214181459561004e-05 loss: 0.1130 (0.1358) loss_seg: 0.1231 (0.1468) loss_lansim: 0.1116 (0.1127) loss_contra: 0.0002 (0.0153) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [6] [4870/5278] eta: 0:17:17 lr: 4.213964221892643e-05 loss: 0.1161 (0.1358) loss_seg: 0.1255 (0.1468) loss_lansim: 0.1117 (0.1127) loss_contra: 0.0001 (0.0153) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [6] [4880/5278] eta: 0:16:51 lr: 4.213746982979941e-05 loss: 0.1113 (0.1357) loss_seg: 0.1228 (0.1467) loss_lansim: 0.1117 (0.1127) loss_contra: 0.0001 (0.0153) time: 2.5239 data: 0.0025 max mem: 31671 Epoch: [6] [4890/5278] eta: 0:16:26 lr: 4.2135297428228194e-05 loss: 0.1130 (0.1358) loss_seg: 0.1246 (0.1468) loss_lansim: 0.1118 (0.1127) loss_contra: 0.0002 (0.0153) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [6] [4900/5278] eta: 0:16:01 lr: 4.2133125014212e-05 loss: 0.1130 (0.1358) loss_seg: 0.1246 (0.1468) loss_lansim: 0.1125 (0.1127) loss_contra: 0.0002 (0.0152) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [6] [4910/5278] eta: 0:15:35 lr: 4.2130952587750046e-05 loss: 0.1101 (0.1358) loss_seg: 0.1221 (0.1468) loss_lansim: 0.1118 (0.1127) loss_contra: 0.0002 (0.0152) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [6] [4920/5278] eta: 0:15:10 lr: 4.2128780148841545e-05 loss: 0.1101 (0.1358) loss_seg: 0.1208 (0.1468) loss_lansim: 0.1139 (0.1127) loss_contra: 0.0002 (0.0152) time: 2.5164 data: 0.0025 max mem: 31671 Epoch: [6] [4930/5278] eta: 0:14:44 lr: 4.212660769748571e-05 loss: 0.1113 (0.1358) loss_seg: 0.1221 (0.1468) loss_lansim: 0.1146 (0.1128) loss_contra: 0.0002 (0.0152) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [6] [4940/5278] eta: 0:14:19 lr: 4.212443523368176e-05 loss: 0.1189 (0.1359) loss_seg: 0.1273 (0.1468) loss_lansim: 0.1146 (0.1128) loss_contra: 0.0003 (0.0151) time: 2.5180 data: 0.0025 max mem: 31671 Epoch: [6] [4950/5278] eta: 0:13:53 lr: 4.2122262757428914e-05 loss: 0.1189 (0.1358) loss_seg: 0.1273 (0.1468) loss_lansim: 0.1142 (0.1128) loss_contra: 0.0003 (0.0152) time: 2.5185 data: 0.0026 max mem: 31671 Epoch: [6] [4960/5278] eta: 0:13:28 lr: 4.2120090268726376e-05 loss: 0.1200 (0.1359) loss_seg: 0.1321 (0.1469) loss_lansim: 0.1142 (0.1128) loss_contra: 0.0003 (0.0151) time: 2.5166 data: 0.0025 max mem: 31671 Epoch: [6] [4970/5278] eta: 0:13:03 lr: 4.2117917767573375e-05 loss: 0.1169 (0.1359) loss_seg: 0.1281 (0.1469) loss_lansim: 0.1127 (0.1128) loss_contra: 0.0003 (0.0151) time: 2.5271 data: 0.0026 max mem: 31671 Epoch: [6] [4980/5278] eta: 0:12:37 lr: 4.211574525396911e-05 loss: 0.1229 (0.1360) loss_seg: 0.1327 (0.1469) loss_lansim: 0.1139 (0.1128) loss_contra: 0.0005 (0.0151) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [6] [4990/5278] eta: 0:12:12 lr: 4.211357272791282e-05 loss: 0.1216 (0.1359) loss_seg: 0.1323 (0.1469) loss_lansim: 0.1123 (0.1128) loss_contra: 0.0004 (0.0151) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [6] [5000/5278] eta: 0:11:46 lr: 4.2111400189403694e-05 loss: 0.1216 (0.1360) loss_seg: 0.1321 (0.1469) loss_lansim: 0.1121 (0.1128) loss_contra: 0.0005 (0.0151) time: 2.5219 data: 0.0026 max mem: 31671 Epoch: [6] [5010/5278] eta: 0:11:21 lr: 4.2109227638440954e-05 loss: 0.1200 (0.1359) loss_seg: 0.1281 (0.1469) loss_lansim: 0.1117 (0.1128) loss_contra: 0.0004 (0.0151) time: 2.5245 data: 0.0026 max mem: 31671 Epoch: [6] [5020/5278] eta: 0:10:55 lr: 4.210705507502383e-05 loss: 0.1217 (0.1360) loss_seg: 0.1285 (0.1470) loss_lansim: 0.1117 (0.1128) loss_contra: 0.0004 (0.0151) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [6] [5030/5278] eta: 0:10:30 lr: 4.2104882499151516e-05 loss: 0.1217 (0.1359) loss_seg: 0.1281 (0.1469) loss_lansim: 0.1091 (0.1127) loss_contra: 0.0004 (0.0152) time: 2.5374 data: 0.0026 max mem: 31671 Epoch: [6] [5040/5278] eta: 0:10:05 lr: 4.2102709910823246e-05 loss: 0.1152 (0.1359) loss_seg: 0.1215 (0.1469) loss_lansim: 0.1088 (0.1127) loss_contra: 0.0004 (0.0152) time: 2.5442 data: 0.0026 max mem: 31671 Epoch: [6] [5050/5278] eta: 0:09:39 lr: 4.210053731003822e-05 loss: 0.1152 (0.1359) loss_seg: 0.1239 (0.1468) loss_lansim: 0.1077 (0.1127) loss_contra: 0.0004 (0.0151) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [6] [5060/5278] eta: 0:09:14 lr: 4.2098364696795653e-05 loss: 0.1152 (0.1359) loss_seg: 0.1239 (0.1469) loss_lansim: 0.1077 (0.1127) loss_contra: 0.0004 (0.0152) time: 2.5403 data: 0.0026 max mem: 31671 Epoch: [6] [5070/5278] eta: 0:08:48 lr: 4.2096192071094765e-05 loss: 0.1209 (0.1361) loss_seg: 0.1261 (0.1470) loss_lansim: 0.1083 (0.1127) loss_contra: 0.0004 (0.0152) time: 2.5343 data: 0.0026 max mem: 31671 Epoch: [6] [5080/5278] eta: 0:08:23 lr: 4.209401943293476e-05 loss: 0.1152 (0.1360) loss_seg: 0.1255 (0.1470) loss_lansim: 0.1083 (0.1127) loss_contra: 0.0004 (0.0152) time: 2.5260 data: 0.0026 max mem: 31671 Epoch: [6] [5090/5278] eta: 0:07:57 lr: 4.209184678231487e-05 loss: 0.1178 (0.1360) loss_seg: 0.1247 (0.1470) loss_lansim: 0.1101 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5320 data: 0.0026 max mem: 31671 Epoch: [6] [5100/5278] eta: 0:07:32 lr: 4.2089674119234294e-05 loss: 0.1199 (0.1360) loss_seg: 0.1255 (0.1470) loss_lansim: 0.1110 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [6] [5110/5278] eta: 0:07:07 lr: 4.208750144369225e-05 loss: 0.1223 (0.1361) loss_seg: 0.1344 (0.1471) loss_lansim: 0.1094 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [6] [5120/5278] eta: 0:06:41 lr: 4.208532875568796e-05 loss: 0.1209 (0.1361) loss_seg: 0.1329 (0.1471) loss_lansim: 0.1083 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5522 data: 0.0025 max mem: 31671 Epoch: [6] [5130/5278] eta: 0:06:16 lr: 4.2083156055220616e-05 loss: 0.1230 (0.1362) loss_seg: 0.1344 (0.1472) loss_lansim: 0.1112 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [6] [5140/5278] eta: 0:05:50 lr: 4.208098334228946e-05 loss: 0.1260 (0.1362) loss_seg: 0.1371 (0.1472) loss_lansim: 0.1127 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [6] [5150/5278] eta: 0:05:25 lr: 4.2078810616893684e-05 loss: 0.1260 (0.1362) loss_seg: 0.1371 (0.1472) loss_lansim: 0.1129 (0.1128) loss_contra: 0.0006 (0.0152) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [6] [5160/5278] eta: 0:04:59 lr: 4.207663787903251e-05 loss: 0.1230 (0.1362) loss_seg: 0.1337 (0.1471) loss_lansim: 0.1131 (0.1128) loss_contra: 0.0007 (0.0152) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [6] [5170/5278] eta: 0:04:34 lr: 4.207446512870515e-05 loss: 0.1236 (0.1362) loss_seg: 0.1337 (0.1471) loss_lansim: 0.1125 (0.1128) loss_contra: 0.0007 (0.0152) time: 2.5334 data: 0.0025 max mem: 31671 Epoch: [6] [5180/5278] eta: 0:04:09 lr: 4.207229236591081e-05 loss: 0.1230 (0.1361) loss_seg: 0.1328 (0.1471) loss_lansim: 0.1110 (0.1128) loss_contra: 0.0007 (0.0153) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [6] [5190/5278] eta: 0:03:43 lr: 4.207011959064871e-05 loss: 0.1223 (0.1361) loss_seg: 0.1321 (0.1471) loss_lansim: 0.1085 (0.1128) loss_contra: 0.0008 (0.0153) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [6] [5200/5278] eta: 0:03:18 lr: 4.206794680291807e-05 loss: 0.1226 (0.1361) loss_seg: 0.1321 (0.1471) loss_lansim: 0.1078 (0.1128) loss_contra: 0.0007 (0.0153) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [6] [5210/5278] eta: 0:02:52 lr: 4.20657740027181e-05 loss: 0.1226 (0.1362) loss_seg: 0.1309 (0.1472) loss_lansim: 0.1088 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [6] [5220/5278] eta: 0:02:27 lr: 4.2063601190047994e-05 loss: 0.1230 (0.1362) loss_seg: 0.1328 (0.1472) loss_lansim: 0.1089 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [6] [5230/5278] eta: 0:02:01 lr: 4.206142836490699e-05 loss: 0.1217 (0.1362) loss_seg: 0.1314 (0.1472) loss_lansim: 0.1090 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [6] [5240/5278] eta: 0:01:36 lr: 4.205925552729428e-05 loss: 0.1217 (0.1363) loss_seg: 0.1314 (0.1472) loss_lansim: 0.1083 (0.1128) loss_contra: 0.0005 (0.0152) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [6] [5250/5278] eta: 0:01:11 lr: 4.20570826772091e-05 loss: 0.1230 (0.1363) loss_seg: 0.1336 (0.1473) loss_lansim: 0.1083 (0.1128) loss_contra: 0.0005 (0.0152) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [6] [5260/5278] eta: 0:00:45 lr: 4.205490981465065e-05 loss: 0.1230 (0.1362) loss_seg: 0.1336 (0.1472) loss_lansim: 0.1080 (0.1128) loss_contra: 0.0005 (0.0151) time: 2.5180 data: 0.0025 max mem: 31671 Epoch: [6] [5270/5278] eta: 0:00:20 lr: 4.2052736939618124e-05 loss: 0.1270 (0.1363) loss_seg: 0.1362 (0.1473) loss_lansim: 0.1090 (0.1128) loss_contra: 0.0004 (0.0152) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [6] Total time: 3:43:35 Test: [ 0/2573] eta: 1:35:00 time: 2.2153 data: 2.0129 max mem: 31671 Test: [ 100/2573] eta: 0:06:45 time: 0.1433 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:08 time: 0.1465 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:43 time: 0.1428 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:24 time: 0.1441 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:07 time: 0.1451 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:52 time: 0.1468 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1496 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1475 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:08 time: 0.1485 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:53 time: 0.1481 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:38 time: 0.1467 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:23 time: 0.1496 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:08 time: 0.1471 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:53 time: 0.1429 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1469 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1463 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1479 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1439 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1412 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1429 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1479 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1429 data: 0.0017 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1481 data: 0.0017 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1453 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1466 data: 0.0016 max mem: 31671 Test: Total time: 0:06:17 Final results: precision@0.5 = 55.00 precision@0.6 = 48.43 precision@0.7 = 39.95 precision@0.8 = 28.70 precision@0.9 = 11.25 overall IoU = 50.32 mean IoU = 49.99 Average object IoU 0.4999170296263387 Overall IoU 50.3200984514884 Better epoch: 6 The best_performance is 50.3200984514884 Epoch: [7] [ 0/5278] eta: 5:59:15 lr: 4.205099863061026e-05 loss: 0.0830 (0.0830) loss_seg: 0.0919 (0.0919) loss_lansim: 0.1024 (0.1024) loss_contra: 0.0000 (0.0000) time: 4.0841 data: 1.3444 max mem: 31671 Epoch: [7] [ 10/5278] eta: 3:53:10 lr: 4.204882573312246e-05 loss: 0.0984 (0.0992) loss_seg: 0.1088 (0.1070) loss_lansim: 0.1066 (0.1104) loss_contra: 0.0001 (0.0036) time: 2.6557 data: 0.1245 max mem: 31671 Epoch: [7] [ 20/5278] eta: 3:50:37 lr: 4.2046652823158375e-05 loss: 0.0984 (0.1073) loss_seg: 0.1088 (0.1168) loss_lansim: 0.1025 (0.1067) loss_contra: 0.0002 (0.0025) time: 2.6316 data: 0.0662 max mem: 31671 Epoch: [7] [ 30/5278] eta: 3:47:43 lr: 4.2044479900717255e-05 loss: 0.0984 (0.1085) loss_seg: 0.1088 (0.1168) loss_lansim: 0.1033 (0.1082) loss_contra: 0.0002 (0.0045) time: 2.6036 data: 0.0457 max mem: 31671 Epoch: [7] [ 40/5278] eta: 3:46:03 lr: 4.204230696579829e-05 loss: 0.1025 (0.1098) loss_seg: 0.1119 (0.1181) loss_lansim: 0.1033 (0.1069) loss_contra: 0.0003 (0.0296) time: 2.5894 data: 0.0351 max mem: 31671 Epoch: [7] [ 50/5278] eta: 3:44:39 lr: 4.204013401840069e-05 loss: 0.1058 (0.1142) loss_seg: 0.1124 (0.1229) loss_lansim: 0.1034 (0.1065) loss_contra: 0.0002 (0.0263) time: 2.5784 data: 0.0287 max mem: 31671 Epoch: [7] [ 60/5278] eta: 3:43:53 lr: 4.203796105852368e-05 loss: 0.1071 (0.1179) loss_seg: 0.1153 (0.1271) loss_lansim: 0.1033 (0.1062) loss_contra: 0.0003 (0.0225) time: 2.5745 data: 0.0244 max mem: 31671 Epoch: [7] [ 70/5278] eta: 3:43:19 lr: 4.203578808616646e-05 loss: 0.1072 (0.1186) loss_seg: 0.1154 (0.1281) loss_lansim: 0.1041 (0.1077) loss_contra: 0.0003 (0.0220) time: 2.5729 data: 0.0214 max mem: 31671 Epoch: [7] [ 80/5278] eta: 3:42:55 lr: 4.2033615101328245e-05 loss: 0.1072 (0.1168) loss_seg: 0.1154 (0.1262) loss_lansim: 0.1041 (0.1081) loss_contra: 0.0004 (0.0199) time: 2.5733 data: 0.0190 max mem: 31671 Epoch: [7] [ 90/5278] eta: 3:42:07 lr: 4.2031442104008247e-05 loss: 0.1129 (0.1178) loss_seg: 0.1180 (0.1274) loss_lansim: 0.1066 (0.1089) loss_contra: 0.0004 (0.0183) time: 2.5688 data: 0.0172 max mem: 31671 Epoch: [7] [ 100/5278] eta: 3:41:38 lr: 4.202926909420567e-05 loss: 0.1123 (0.1168) loss_seg: 0.1173 (0.1263) loss_lansim: 0.1060 (0.1079) loss_contra: 0.0006 (0.0173) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [7] [ 110/5278] eta: 3:40:29 lr: 4.202709607191975e-05 loss: 0.1128 (0.1176) loss_seg: 0.1189 (0.1273) loss_lansim: 0.1041 (0.1076) loss_contra: 0.0007 (0.0160) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [7] [ 120/5278] eta: 3:39:52 lr: 4.202492303714967e-05 loss: 0.1072 (0.1143) loss_seg: 0.1154 (0.1237) loss_lansim: 0.1041 (0.1069) loss_contra: 0.0008 (0.0152) time: 2.5422 data: 0.0026 max mem: 31671 Epoch: [7] [ 130/5278] eta: 3:39:18 lr: 4.202274998989464e-05 loss: 0.1072 (0.1132) loss_seg: 0.1154 (0.1224) loss_lansim: 0.1026 (0.1063) loss_contra: 0.0012 (0.0153) time: 2.5413 data: 0.0026 max mem: 31671 Epoch: [7] [ 140/5278] eta: 3:38:32 lr: 4.2020576930153906e-05 loss: 0.1071 (0.1131) loss_seg: 0.1124 (0.1223) loss_lansim: 0.1041 (0.1061) loss_contra: 0.0007 (0.0142) time: 2.5368 data: 0.0026 max mem: 31671 Epoch: [7] [ 150/5278] eta: 3:38:16 lr: 4.2018403857926644e-05 loss: 0.1037 (0.1157) loss_seg: 0.1115 (0.1250) loss_lansim: 0.1045 (0.1069) loss_contra: 0.0012 (0.0141) time: 2.5415 data: 0.0026 max mem: 31671 Epoch: [7] [ 160/5278] eta: 3:37:43 lr: 4.201623077321207e-05 loss: 0.0992 (0.1136) loss_seg: 0.1094 (0.1229) loss_lansim: 0.1060 (0.1074) loss_contra: 0.0008 (0.0148) time: 2.5390 data: 0.0026 max mem: 31671 Epoch: [7] [ 170/5278] eta: 3:37:04 lr: 4.20140576760094e-05 loss: 0.0998 (0.1152) loss_seg: 0.1102 (0.1245) loss_lansim: 0.1060 (0.1081) loss_contra: 0.0006 (0.0140) time: 2.5333 data: 0.0026 max mem: 31671 Epoch: [7] [ 180/5278] eta: 3:36:49 lr: 4.201188456631785e-05 loss: 0.1112 (0.1179) loss_seg: 0.1191 (0.1270) loss_lansim: 0.1052 (0.1080) loss_contra: 0.0005 (0.0136) time: 2.5346 data: 0.0026 max mem: 31671 Epoch: [7] [ 190/5278] eta: 3:36:12 lr: 4.200971144413663e-05 loss: 0.1001 (0.1167) loss_seg: 0.1102 (0.1256) loss_lansim: 0.1045 (0.1084) loss_contra: 0.0005 (0.0133) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [7] [ 200/5278] eta: 3:35:55 lr: 4.200753830946494e-05 loss: 0.1005 (0.1166) loss_seg: 0.1115 (0.1257) loss_lansim: 0.1061 (0.1084) loss_contra: 0.0003 (0.0127) time: 2.5343 data: 0.0026 max mem: 31671 Epoch: [7] [ 210/5278] eta: 3:35:19 lr: 4.2005365162302e-05 loss: 0.1001 (0.1166) loss_seg: 0.1109 (0.1256) loss_lansim: 0.1084 (0.1091) loss_contra: 0.0004 (0.0125) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [7] [ 220/5278] eta: 3:34:36 lr: 4.200319200264702e-05 loss: 0.1121 (0.1174) loss_seg: 0.1208 (0.1264) loss_lansim: 0.1093 (0.1096) loss_contra: 0.0003 (0.0122) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [7] [ 230/5278] eta: 3:34:03 lr: 4.200101883049919e-05 loss: 0.1121 (0.1181) loss_seg: 0.1223 (0.1273) loss_lansim: 0.1097 (0.1095) loss_contra: 0.0002 (0.0117) time: 2.5291 data: 0.0026 max mem: 31671 Epoch: [7] [ 240/5278] eta: 3:33:35 lr: 4.1998845645857755e-05 loss: 0.1124 (0.1195) loss_seg: 0.1229 (0.1286) loss_lansim: 0.1102 (0.1097) loss_contra: 0.0002 (0.0125) time: 2.5320 data: 0.0026 max mem: 31671 Epoch: [7] [ 250/5278] eta: 3:32:57 lr: 4.199667244872189e-05 loss: 0.1211 (0.1201) loss_seg: 0.1239 (0.1293) loss_lansim: 0.1103 (0.1102) loss_contra: 0.0002 (0.0121) time: 2.5222 data: 0.0026 max mem: 31671 Epoch: [7] [ 260/5278] eta: 3:32:33 lr: 4.199449923909083e-05 loss: 0.1245 (0.1208) loss_seg: 0.1319 (0.1300) loss_lansim: 0.1103 (0.1102) loss_contra: 0.0002 (0.0116) time: 2.5238 data: 0.0026 max mem: 31671 Epoch: [7] [ 270/5278] eta: 3:32:06 lr: 4.199232601696378e-05 loss: 0.1245 (0.1213) loss_seg: 0.1256 (0.1304) loss_lansim: 0.1103 (0.1106) loss_contra: 0.0001 (0.0117) time: 2.5265 data: 0.0026 max mem: 31671 Epoch: [7] [ 280/5278] eta: 3:31:41 lr: 4.199015278233994e-05 loss: 0.1231 (0.1220) loss_seg: 0.1246 (0.1313) loss_lansim: 0.1127 (0.1107) loss_contra: 0.0001 (0.0114) time: 2.5224 data: 0.0026 max mem: 31671 Epoch: [7] [ 290/5278] eta: 3:30:57 lr: 4.198797953521852e-05 loss: 0.1245 (0.1222) loss_seg: 0.1349 (0.1313) loss_lansim: 0.1144 (0.1108) loss_contra: 0.0002 (0.0113) time: 2.5146 data: 0.0026 max mem: 31671 Epoch: [7] [ 300/5278] eta: 3:30:37 lr: 4.198580627559874e-05 loss: 0.1231 (0.1216) loss_seg: 0.1287 (0.1306) loss_lansim: 0.1153 (0.1108) loss_contra: 0.0002 (0.0112) time: 2.5131 data: 0.0026 max mem: 31671 Epoch: [7] [ 310/5278] eta: 3:30:11 lr: 4.1983633003479794e-05 loss: 0.1231 (0.1217) loss_seg: 0.1287 (0.1307) loss_lansim: 0.1142 (0.1109) loss_contra: 0.0001 (0.0109) time: 2.5161 data: 0.0026 max mem: 31671 Epoch: [7] [ 320/5278] eta: 3:29:32 lr: 4.198145971886092e-05 loss: 0.1173 (0.1211) loss_seg: 0.1238 (0.1302) loss_lansim: 0.1118 (0.1109) loss_contra: 0.0002 (0.0106) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [7] [ 330/5278] eta: 3:29:17 lr: 4.197928642174129e-05 loss: 0.1215 (0.1216) loss_seg: 0.1287 (0.1308) loss_lansim: 0.1124 (0.1111) loss_contra: 0.0002 (0.0108) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [7] [ 340/5278] eta: 3:28:44 lr: 4.197711311212013e-05 loss: 0.1173 (0.1212) loss_seg: 0.1249 (0.1304) loss_lansim: 0.1127 (0.1113) loss_contra: 0.0002 (0.0108) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [7] [ 350/5278] eta: 3:28:00 lr: 4.197493978999666e-05 loss: 0.1160 (0.1218) loss_seg: 0.1249 (0.1308) loss_lansim: 0.1153 (0.1116) loss_contra: 0.0002 (0.0105) time: 2.5109 data: 0.0025 max mem: 31671 Epoch: [7] [ 360/5278] eta: 3:27:35 lr: 4.197276645537007e-05 loss: 0.1124 (0.1214) loss_seg: 0.1201 (0.1305) loss_lansim: 0.1168 (0.1121) loss_contra: 0.0002 (0.0104) time: 2.5093 data: 0.0025 max mem: 31671 Epoch: [7] [ 370/5278] eta: 3:27:13 lr: 4.1970593108239584e-05 loss: 0.1080 (0.1214) loss_seg: 0.1162 (0.1304) loss_lansim: 0.1172 (0.1126) loss_contra: 0.0003 (0.0104) time: 2.5122 data: 0.0026 max mem: 31671 Epoch: [7] [ 380/5278] eta: 3:26:52 lr: 4.19684197486044e-05 loss: 0.1049 (0.1209) loss_seg: 0.1126 (0.1299) loss_lansim: 0.1177 (0.1128) loss_contra: 0.0002 (0.0102) time: 2.5140 data: 0.0025 max mem: 31671 Epoch: [7] [ 390/5278] eta: 3:26:34 lr: 4.196624637646373e-05 loss: 0.1049 (0.1211) loss_seg: 0.1126 (0.1300) loss_lansim: 0.1177 (0.1129) loss_contra: 0.0002 (0.0101) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [7] [ 400/5278] eta: 3:26:10 lr: 4.196407299181679e-05 loss: 0.1049 (0.1214) loss_seg: 0.1152 (0.1304) loss_lansim: 0.1177 (0.1131) loss_contra: 0.0002 (0.0099) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [7] [ 410/5278] eta: 3:25:51 lr: 4.1961899594662767e-05 loss: 0.1049 (0.1217) loss_seg: 0.1152 (0.1309) loss_lansim: 0.1177 (0.1130) loss_contra: 0.0003 (0.0097) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [7] [ 420/5278] eta: 3:25:17 lr: 4.1959726185000895e-05 loss: 0.1068 (0.1218) loss_seg: 0.1162 (0.1310) loss_lansim: 0.1190 (0.1132) loss_contra: 0.0003 (0.0095) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [7] [ 430/5278] eta: 3:24:55 lr: 4.1957552762830366e-05 loss: 0.1052 (0.1215) loss_seg: 0.1162 (0.1308) loss_lansim: 0.1191 (0.1134) loss_contra: 0.0002 (0.0094) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [7] [ 440/5278] eta: 3:24:26 lr: 4.1955379328150393e-05 loss: 0.1064 (0.1209) loss_seg: 0.1161 (0.1302) loss_lansim: 0.1189 (0.1136) loss_contra: 0.0002 (0.0093) time: 2.5324 data: 0.0026 max mem: 31671 Epoch: [7] [ 450/5278] eta: 3:23:55 lr: 4.1953205880960185e-05 loss: 0.1047 (0.1215) loss_seg: 0.1105 (0.1307) loss_lansim: 0.1191 (0.1138) loss_contra: 0.0002 (0.0092) time: 2.5403 data: 0.0026 max mem: 31671 Epoch: [7] [ 460/5278] eta: 3:23:19 lr: 4.195103242125894e-05 loss: 0.1079 (0.1220) loss_seg: 0.1168 (0.1313) loss_lansim: 0.1175 (0.1137) loss_contra: 0.0002 (0.0090) time: 2.5298 data: 0.0026 max mem: 31671 Epoch: [7] [ 470/5278] eta: 3:22:53 lr: 4.194885894904588e-05 loss: 0.1068 (0.1217) loss_seg: 0.1165 (0.1310) loss_lansim: 0.1164 (0.1138) loss_contra: 0.0002 (0.0090) time: 2.5261 data: 0.0026 max mem: 31671 Epoch: [7] [ 480/5278] eta: 3:22:33 lr: 4.1946685464320214e-05 loss: 0.1106 (0.1227) loss_seg: 0.1206 (0.1321) loss_lansim: 0.1164 (0.1140) loss_contra: 0.0002 (0.0090) time: 2.5288 data: 0.0026 max mem: 31671 Epoch: [7] [ 490/5278] eta: 3:21:59 lr: 4.194451196708113e-05 loss: 0.1073 (0.1222) loss_seg: 0.1168 (0.1316) loss_lansim: 0.1164 (0.1142) loss_contra: 0.0001 (0.0088) time: 2.5133 data: 0.0026 max mem: 31671 Epoch: [7] [ 500/5278] eta: 3:21:26 lr: 4.194233845732785e-05 loss: 0.1067 (0.1220) loss_seg: 0.1165 (0.1313) loss_lansim: 0.1167 (0.1143) loss_contra: 0.0002 (0.0088) time: 2.5034 data: 0.0026 max mem: 31671 Epoch: [7] [ 510/5278] eta: 3:20:55 lr: 4.194016493505958e-05 loss: 0.1106 (0.1224) loss_seg: 0.1191 (0.1318) loss_lansim: 0.1164 (0.1144) loss_contra: 0.0002 (0.0095) time: 2.4917 data: 0.0026 max mem: 31671 Epoch: [7] [ 520/5278] eta: 3:20:16 lr: 4.1937991400275536e-05 loss: 0.1109 (0.1219) loss_seg: 0.1191 (0.1312) loss_lansim: 0.1167 (0.1146) loss_contra: 0.0002 (0.0096) time: 2.4834 data: 0.0027 max mem: 31671 Epoch: [7] [ 530/5278] eta: 3:19:43 lr: 4.193581785297491e-05 loss: 0.1123 (0.1222) loss_seg: 0.1206 (0.1314) loss_lansim: 0.1180 (0.1149) loss_contra: 0.0002 (0.0096) time: 2.4709 data: 0.0027 max mem: 31671 Epoch: [7] [ 540/5278] eta: 3:19:13 lr: 4.193364429315691e-05 loss: 0.1193 (0.1231) loss_seg: 0.1289 (0.1324) loss_lansim: 0.1210 (0.1152) loss_contra: 0.0003 (0.0095) time: 2.4674 data: 0.0027 max mem: 31671 Epoch: [7] [ 550/5278] eta: 3:18:42 lr: 4.193147072082075e-05 loss: 0.1203 (0.1239) loss_seg: 0.1321 (0.1331) loss_lansim: 0.1213 (0.1156) loss_contra: 0.0002 (0.0093) time: 2.4651 data: 0.0027 max mem: 31671 Epoch: [7] [ 560/5278] eta: 3:18:17 lr: 4.192929713596563e-05 loss: 0.1208 (0.1246) loss_seg: 0.1323 (0.1339) loss_lansim: 0.1227 (0.1159) loss_contra: 0.0003 (0.0106) time: 2.4747 data: 0.0026 max mem: 31671 Epoch: [7] [ 570/5278] eta: 3:17:54 lr: 4.1927123538590775e-05 loss: 0.1230 (0.1245) loss_seg: 0.1349 (0.1338) loss_lansim: 0.1236 (0.1162) loss_contra: 0.0004 (0.0107) time: 2.4769 data: 0.0026 max mem: 31671 Epoch: [7] [ 580/5278] eta: 3:17:35 lr: 4.192494992869537e-05 loss: 0.1230 (0.1248) loss_seg: 0.1357 (0.1343) loss_lansim: 0.1227 (0.1162) loss_contra: 0.0005 (0.0110) time: 2.4772 data: 0.0026 max mem: 31671 Epoch: [7] [ 590/5278] eta: 3:17:14 lr: 4.192277630627862e-05 loss: 0.1254 (0.1250) loss_seg: 0.1382 (0.1345) loss_lansim: 0.1227 (0.1162) loss_contra: 0.0006 (0.0118) time: 2.4912 data: 0.0026 max mem: 31671 Epoch: [7] [ 600/5278] eta: 3:16:47 lr: 4.192060267133975e-05 loss: 0.1245 (0.1246) loss_seg: 0.1361 (0.1340) loss_lansim: 0.1211 (0.1162) loss_contra: 0.0008 (0.0117) time: 2.4965 data: 0.0026 max mem: 31671 Epoch: [7] [ 610/5278] eta: 3:16:23 lr: 4.191842902387796e-05 loss: 0.1226 (0.1245) loss_seg: 0.1338 (0.1338) loss_lansim: 0.1215 (0.1162) loss_contra: 0.0008 (0.0116) time: 2.5040 data: 0.0026 max mem: 31671 Epoch: [7] [ 620/5278] eta: 3:15:55 lr: 4.1916255363892456e-05 loss: 0.1193 (0.1239) loss_seg: 0.1292 (0.1332) loss_lansim: 0.1194 (0.1161) loss_contra: 0.0005 (0.0126) time: 2.5144 data: 0.0026 max mem: 31671 Epoch: [7] [ 630/5278] eta: 3:15:31 lr: 4.191408169138243e-05 loss: 0.1184 (0.1237) loss_seg: 0.1283 (0.1331) loss_lansim: 0.1210 (0.1162) loss_contra: 0.0006 (0.0125) time: 2.5244 data: 0.0026 max mem: 31671 Epoch: [7] [ 640/5278] eta: 3:15:05 lr: 4.191190800634712e-05 loss: 0.1119 (0.1231) loss_seg: 0.1215 (0.1324) loss_lansim: 0.1174 (0.1160) loss_contra: 0.0006 (0.0133) time: 2.5292 data: 0.0026 max mem: 31671 Epoch: [7] [ 650/5278] eta: 3:14:36 lr: 4.1909734308785694e-05 loss: 0.1074 (0.1228) loss_seg: 0.1137 (0.1320) loss_lansim: 0.1174 (0.1163) loss_contra: 0.0008 (0.0133) time: 2.5305 data: 0.0026 max mem: 31671 Epoch: [7] [ 660/5278] eta: 3:14:17 lr: 4.190756059869739e-05 loss: 0.1023 (0.1226) loss_seg: 0.1090 (0.1318) loss_lansim: 0.1182 (0.1165) loss_contra: 0.0009 (0.0150) time: 2.5385 data: 0.0026 max mem: 31671 Epoch: [7] [ 670/5278] eta: 3:13:52 lr: 4.190538687608139e-05 loss: 0.1031 (0.1231) loss_seg: 0.1130 (0.1324) loss_lansim: 0.1182 (0.1169) loss_contra: 0.0008 (0.0148) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [7] [ 680/5278] eta: 3:13:32 lr: 4.190321314093691e-05 loss: 0.1023 (0.1231) loss_seg: 0.1104 (0.1324) loss_lansim: 0.1214 (0.1172) loss_contra: 0.0010 (0.0157) time: 2.5376 data: 0.0026 max mem: 31671 Epoch: [7] [ 690/5278] eta: 3:13:11 lr: 4.1901039393263165e-05 loss: 0.1022 (0.1230) loss_seg: 0.1104 (0.1323) loss_lansim: 0.1232 (0.1175) loss_contra: 0.0008 (0.0155) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [7] [ 700/5278] eta: 3:12:47 lr: 4.1898865633059344e-05 loss: 0.1031 (0.1232) loss_seg: 0.1130 (0.1326) loss_lansim: 0.1233 (0.1175) loss_contra: 0.0007 (0.0154) time: 2.5433 data: 0.0027 max mem: 31671 Epoch: [7] [ 710/5278] eta: 3:12:27 lr: 4.189669186032465e-05 loss: 0.1060 (0.1234) loss_seg: 0.1149 (0.1328) loss_lansim: 0.1258 (0.1178) loss_contra: 0.0007 (0.0153) time: 2.5492 data: 0.0027 max mem: 31671 Epoch: [7] [ 720/5278] eta: 3:12:10 lr: 4.189451807505832e-05 loss: 0.1102 (0.1232) loss_seg: 0.1222 (0.1327) loss_lansim: 0.1266 (0.1178) loss_contra: 0.0012 (0.0165) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [7] [ 730/5278] eta: 3:11:48 lr: 4.1892344277259524e-05 loss: 0.1142 (0.1233) loss_seg: 0.1264 (0.1328) loss_lansim: 0.1266 (0.1180) loss_contra: 0.0012 (0.0163) time: 2.5717 data: 0.0026 max mem: 31671 Epoch: [7] [ 740/5278] eta: 3:11:25 lr: 4.189017046692748e-05 loss: 0.1158 (0.1233) loss_seg: 0.1284 (0.1329) loss_lansim: 0.1273 (0.1183) loss_contra: 0.0015 (0.0163) time: 2.5762 data: 0.0026 max mem: 31671 Epoch: [7] [ 750/5278] eta: 3:11:01 lr: 4.1887996644061395e-05 loss: 0.1158 (0.1231) loss_seg: 0.1284 (0.1326) loss_lansim: 0.1288 (0.1185) loss_contra: 0.0013 (0.0162) time: 2.5850 data: 0.0026 max mem: 31671 Epoch: [7] [ 760/5278] eta: 3:10:40 lr: 4.1885822808660476e-05 loss: 0.1199 (0.1232) loss_seg: 0.1331 (0.1328) loss_lansim: 0.1291 (0.1187) loss_contra: 0.0009 (0.0160) time: 2.5840 data: 0.0026 max mem: 31671 Epoch: [7] [ 770/5278] eta: 3:10:17 lr: 4.188364896072392e-05 loss: 0.1199 (0.1232) loss_seg: 0.1331 (0.1328) loss_lansim: 0.1276 (0.1187) loss_contra: 0.0005 (0.0161) time: 2.5876 data: 0.0026 max mem: 31671 Epoch: [7] [ 780/5278] eta: 3:09:48 lr: 4.188147510025094e-05 loss: 0.1199 (0.1233) loss_seg: 0.1331 (0.1329) loss_lansim: 0.1266 (0.1187) loss_contra: 0.0004 (0.0159) time: 2.5760 data: 0.0026 max mem: 31671 Epoch: [7] [ 790/5278] eta: 3:09:24 lr: 4.187930122724073e-05 loss: 0.1142 (0.1231) loss_seg: 0.1264 (0.1327) loss_lansim: 0.1247 (0.1187) loss_contra: 0.0009 (0.0163) time: 2.5712 data: 0.0025 max mem: 31671 Epoch: [7] [ 800/5278] eta: 3:09:01 lr: 4.187712734169251e-05 loss: 0.1128 (0.1232) loss_seg: 0.1252 (0.1328) loss_lansim: 0.1247 (0.1188) loss_contra: 0.0010 (0.0165) time: 2.5738 data: 0.0025 max mem: 31671 Epoch: [7] [ 810/5278] eta: 3:08:35 lr: 4.1874953443605465e-05 loss: 0.1062 (0.1229) loss_seg: 0.1181 (0.1326) loss_lansim: 0.1224 (0.1185) loss_contra: 0.0008 (0.0164) time: 2.5666 data: 0.0025 max mem: 31671 Epoch: [7] [ 820/5278] eta: 3:08:05 lr: 4.187277953297882e-05 loss: 0.1062 (0.1228) loss_seg: 0.1152 (0.1323) loss_lansim: 0.1218 (0.1185) loss_contra: 0.0006 (0.0163) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [7] [ 830/5278] eta: 3:07:39 lr: 4.187060560981176e-05 loss: 0.1062 (0.1227) loss_seg: 0.1152 (0.1323) loss_lansim: 0.1196 (0.1184) loss_contra: 0.0006 (0.0163) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [7] [ 840/5278] eta: 3:07:13 lr: 4.1868431674103506e-05 loss: 0.1022 (0.1224) loss_seg: 0.1095 (0.1319) loss_lansim: 0.1172 (0.1184) loss_contra: 0.0006 (0.0163) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [7] [ 850/5278] eta: 3:06:50 lr: 4.186625772585326e-05 loss: 0.1062 (0.1224) loss_seg: 0.1152 (0.1319) loss_lansim: 0.1163 (0.1185) loss_contra: 0.0005 (0.0161) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [7] [ 860/5278] eta: 3:06:25 lr: 4.1864083765060214e-05 loss: 0.1091 (0.1223) loss_seg: 0.1181 (0.1318) loss_lansim: 0.1135 (0.1183) loss_contra: 0.0006 (0.0163) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [7] [ 870/5278] eta: 3:06:01 lr: 4.186190979172358e-05 loss: 0.1062 (0.1223) loss_seg: 0.1169 (0.1318) loss_lansim: 0.1135 (0.1183) loss_contra: 0.0006 (0.0161) time: 2.5274 data: 0.0024 max mem: 31671 Epoch: [7] [ 880/5278] eta: 3:05:34 lr: 4.185973580584256e-05 loss: 0.1062 (0.1225) loss_seg: 0.1169 (0.1320) loss_lansim: 0.1133 (0.1182) loss_contra: 0.0004 (0.0160) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [7] [ 890/5278] eta: 3:05:05 lr: 4.185756180741636e-05 loss: 0.1091 (0.1224) loss_seg: 0.1169 (0.1319) loss_lansim: 0.1128 (0.1182) loss_contra: 0.0003 (0.0158) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [7] [ 900/5278] eta: 3:04:45 lr: 4.1855387796444186e-05 loss: 0.1054 (0.1222) loss_seg: 0.1153 (0.1317) loss_lansim: 0.1101 (0.1180) loss_contra: 0.0003 (0.0159) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [7] [ 910/5278] eta: 3:04:21 lr: 4.1853213772925225e-05 loss: 0.1104 (0.1225) loss_seg: 0.1153 (0.1319) loss_lansim: 0.1126 (0.1181) loss_contra: 0.0003 (0.0159) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [7] [ 920/5278] eta: 3:03:57 lr: 4.18510397368587e-05 loss: 0.1033 (0.1221) loss_seg: 0.1117 (0.1316) loss_lansim: 0.1120 (0.1180) loss_contra: 0.0003 (0.0159) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [7] [ 930/5278] eta: 3:03:30 lr: 4.184886568824381e-05 loss: 0.1004 (0.1222) loss_seg: 0.1092 (0.1316) loss_lansim: 0.1120 (0.1179) loss_contra: 0.0003 (0.0157) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [7] [ 940/5278] eta: 3:03:06 lr: 4.184669162707975e-05 loss: 0.1055 (0.1224) loss_seg: 0.1156 (0.1319) loss_lansim: 0.1094 (0.1179) loss_contra: 0.0003 (0.0158) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [7] [ 950/5278] eta: 3:02:42 lr: 4.184451755336574e-05 loss: 0.1054 (0.1225) loss_seg: 0.1153 (0.1320) loss_lansim: 0.1087 (0.1178) loss_contra: 0.0003 (0.0157) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [7] [ 960/5278] eta: 3:02:14 lr: 4.1842343467100956e-05 loss: 0.1051 (0.1225) loss_seg: 0.1129 (0.1320) loss_lansim: 0.1121 (0.1179) loss_contra: 0.0003 (0.0156) time: 2.5358 data: 0.0026 max mem: 31671 Epoch: [7] [ 970/5278] eta: 3:01:48 lr: 4.184016936828463e-05 loss: 0.1038 (0.1223) loss_seg: 0.1077 (0.1317) loss_lansim: 0.1121 (0.1178) loss_contra: 0.0003 (0.0157) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [7] [ 980/5278] eta: 3:01:23 lr: 4.183799525691594e-05 loss: 0.1004 (0.1222) loss_seg: 0.1064 (0.1317) loss_lansim: 0.1077 (0.1177) loss_contra: 0.0003 (0.0157) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [7] [ 990/5278] eta: 3:00:57 lr: 4.1835821132994114e-05 loss: 0.1004 (0.1221) loss_seg: 0.1069 (0.1316) loss_lansim: 0.1099 (0.1177) loss_contra: 0.0003 (0.0156) time: 2.5426 data: 0.0026 max mem: 31671 Epoch: [7] [1000/5278] eta: 3:00:30 lr: 4.1833646996518336e-05 loss: 0.1004 (0.1220) loss_seg: 0.1069 (0.1315) loss_lansim: 0.1116 (0.1176) loss_contra: 0.0003 (0.0157) time: 2.5283 data: 0.0026 max mem: 31671 Epoch: [7] [1010/5278] eta: 3:00:07 lr: 4.183147284748781e-05 loss: 0.1004 (0.1221) loss_seg: 0.1073 (0.1316) loss_lansim: 0.1099 (0.1176) loss_contra: 0.0003 (0.0156) time: 2.5310 data: 0.0026 max mem: 31671 Epoch: [7] [1020/5278] eta: 2:59:40 lr: 4.182929868590174e-05 loss: 0.1040 (0.1218) loss_seg: 0.1095 (0.1313) loss_lansim: 0.1116 (0.1175) loss_contra: 0.0003 (0.0156) time: 2.5237 data: 0.0026 max mem: 31671 Epoch: [7] [1030/5278] eta: 2:59:16 lr: 4.182712451175933e-05 loss: 0.1040 (0.1220) loss_seg: 0.1128 (0.1315) loss_lansim: 0.1116 (0.1175) loss_contra: 0.0003 (0.0155) time: 2.5292 data: 0.0026 max mem: 31671 Epoch: [7] [1040/5278] eta: 2:58:48 lr: 4.182495032505979e-05 loss: 0.1008 (0.1218) loss_seg: 0.1082 (0.1313) loss_lansim: 0.1116 (0.1175) loss_contra: 0.0003 (0.0154) time: 2.5217 data: 0.0026 max mem: 31671 Epoch: [7] [1050/5278] eta: 2:58:21 lr: 4.182277612580231e-05 loss: 0.1019 (0.1221) loss_seg: 0.1082 (0.1317) loss_lansim: 0.1130 (0.1176) loss_contra: 0.0005 (0.0153) time: 2.5131 data: 0.0026 max mem: 31671 Epoch: [7] [1060/5278] eta: 2:57:56 lr: 4.1820601913986104e-05 loss: 0.1038 (0.1220) loss_seg: 0.1117 (0.1315) loss_lansim: 0.1130 (0.1177) loss_contra: 0.0006 (0.0154) time: 2.5200 data: 0.0026 max mem: 31671 Epoch: [7] [1070/5278] eta: 2:57:31 lr: 4.1818427689610356e-05 loss: 0.1050 (0.1219) loss_seg: 0.1165 (0.1315) loss_lansim: 0.1150 (0.1177) loss_contra: 0.0006 (0.0153) time: 2.5236 data: 0.0026 max mem: 31671 Epoch: [7] [1080/5278] eta: 2:57:04 lr: 4.181625345267429e-05 loss: 0.1096 (0.1219) loss_seg: 0.1192 (0.1315) loss_lansim: 0.1153 (0.1176) loss_contra: 0.0006 (0.0152) time: 2.5160 data: 0.0026 max mem: 31671 Epoch: [7] [1090/5278] eta: 2:56:37 lr: 4.181407920317709e-05 loss: 0.1102 (0.1219) loss_seg: 0.1180 (0.1314) loss_lansim: 0.1153 (0.1177) loss_contra: 0.0006 (0.0156) time: 2.5152 data: 0.0026 max mem: 31671 Epoch: [7] [1100/5278] eta: 2:56:11 lr: 4.1811904941117955e-05 loss: 0.1118 (0.1220) loss_seg: 0.1222 (0.1316) loss_lansim: 0.1162 (0.1177) loss_contra: 0.0002 (0.0154) time: 2.5151 data: 0.0026 max mem: 31671 Epoch: [7] [1110/5278] eta: 2:55:46 lr: 4.180973066649611e-05 loss: 0.1122 (0.1220) loss_seg: 0.1236 (0.1315) loss_lansim: 0.1162 (0.1176) loss_contra: 0.0003 (0.0155) time: 2.5123 data: 0.0026 max mem: 31671 Epoch: [7] [1120/5278] eta: 2:55:23 lr: 4.180755637931074e-05 loss: 0.1118 (0.1218) loss_seg: 0.1223 (0.1314) loss_lansim: 0.1145 (0.1174) loss_contra: 0.0002 (0.0154) time: 2.5214 data: 0.0026 max mem: 31671 Epoch: [7] [1130/5278] eta: 2:55:01 lr: 4.180538207956105e-05 loss: 0.1115 (0.1216) loss_seg: 0.1195 (0.1312) loss_lansim: 0.1141 (0.1173) loss_contra: 0.0003 (0.0153) time: 2.5269 data: 0.0026 max mem: 31671 Epoch: [7] [1140/5278] eta: 2:54:39 lr: 4.180320776724624e-05 loss: 0.1105 (0.1215) loss_seg: 0.1192 (0.1311) loss_lansim: 0.1141 (0.1173) loss_contra: 0.0003 (0.0152) time: 2.5432 data: 0.0026 max mem: 31671 Epoch: [7] [1150/5278] eta: 2:54:16 lr: 4.18010334423655e-05 loss: 0.1074 (0.1213) loss_seg: 0.1134 (0.1308) loss_lansim: 0.1119 (0.1173) loss_contra: 0.0003 (0.0156) time: 2.5528 data: 0.0026 max mem: 31671 Epoch: [7] [1160/5278] eta: 2:53:51 lr: 4.179885910491805e-05 loss: 0.1074 (0.1211) loss_seg: 0.1117 (0.1307) loss_lansim: 0.1072 (0.1171) loss_contra: 0.0003 (0.0156) time: 2.5561 data: 0.0026 max mem: 31671 Epoch: [7] [1170/5278] eta: 2:53:28 lr: 4.1796684754903087e-05 loss: 0.1035 (0.1209) loss_seg: 0.1102 (0.1305) loss_lansim: 0.1066 (0.1169) loss_contra: 0.0003 (0.0157) time: 2.5589 data: 0.0026 max mem: 31671 Epoch: [7] [1180/5278] eta: 2:53:02 lr: 4.1794510392319805e-05 loss: 0.0993 (0.1210) loss_seg: 0.1080 (0.1306) loss_lansim: 0.1057 (0.1169) loss_contra: 0.0004 (0.0157) time: 2.5645 data: 0.0025 max mem: 31671 Epoch: [7] [1190/5278] eta: 2:52:35 lr: 4.1792336017167415e-05 loss: 0.0993 (0.1211) loss_seg: 0.1080 (0.1306) loss_lansim: 0.1053 (0.1169) loss_contra: 0.0003 (0.0156) time: 2.5626 data: 0.0025 max mem: 31671 Epoch: [7] [1200/5278] eta: 2:52:10 lr: 4.179016162944511e-05 loss: 0.1008 (0.1214) loss_seg: 0.1098 (0.1310) loss_lansim: 0.1052 (0.1169) loss_contra: 0.0005 (0.0157) time: 2.5662 data: 0.0025 max mem: 31671 Epoch: [7] [1210/5278] eta: 2:51:47 lr: 4.1787987229152084e-05 loss: 0.0989 (0.1214) loss_seg: 0.1080 (0.1310) loss_lansim: 0.1053 (0.1168) loss_contra: 0.0005 (0.0155) time: 2.5714 data: 0.0025 max mem: 31671 Epoch: [7] [1220/5278] eta: 2:51:23 lr: 4.178581281628755e-05 loss: 0.1053 (0.1214) loss_seg: 0.1126 (0.1311) loss_lansim: 0.1054 (0.1167) loss_contra: 0.0005 (0.0155) time: 2.5708 data: 0.0025 max mem: 31671 Epoch: [7] [1230/5278] eta: 2:50:58 lr: 4.17836383908507e-05 loss: 0.1092 (0.1218) loss_seg: 0.1189 (0.1315) loss_lansim: 0.1056 (0.1167) loss_contra: 0.0005 (0.0153) time: 2.5629 data: 0.0025 max mem: 31671 Epoch: [7] [1240/5278] eta: 2:50:32 lr: 4.178146395284074e-05 loss: 0.1092 (0.1217) loss_seg: 0.1185 (0.1314) loss_lansim: 0.1059 (0.1166) loss_contra: 0.0004 (0.0154) time: 2.5511 data: 0.0025 max mem: 31671 Epoch: [7] [1250/5278] eta: 2:50:07 lr: 4.1779289502256865e-05 loss: 0.1137 (0.1218) loss_seg: 0.1242 (0.1314) loss_lansim: 0.1060 (0.1166) loss_contra: 0.0003 (0.0153) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [7] [1260/5278] eta: 2:49:40 lr: 4.177711503909828e-05 loss: 0.1139 (0.1217) loss_seg: 0.1242 (0.1314) loss_lansim: 0.1075 (0.1166) loss_contra: 0.0003 (0.0152) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [7] [1270/5278] eta: 2:49:16 lr: 4.177494056336419e-05 loss: 0.1178 (0.1218) loss_seg: 0.1266 (0.1314) loss_lansim: 0.1079 (0.1165) loss_contra: 0.0003 (0.0151) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [7] [1280/5278] eta: 2:48:50 lr: 4.1772766075053775e-05 loss: 0.1178 (0.1220) loss_seg: 0.1266 (0.1317) loss_lansim: 0.1085 (0.1166) loss_contra: 0.0003 (0.0150) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [7] [1290/5278] eta: 2:48:25 lr: 4.1770591574166255e-05 loss: 0.1178 (0.1222) loss_seg: 0.1266 (0.1319) loss_lansim: 0.1103 (0.1166) loss_contra: 0.0003 (0.0149) time: 2.5433 data: 0.0024 max mem: 31671 Epoch: [7] [1300/5278] eta: 2:47:58 lr: 4.1768417060700825e-05 loss: 0.1139 (0.1225) loss_seg: 0.1262 (0.1323) loss_lansim: 0.1103 (0.1165) loss_contra: 0.0003 (0.0148) time: 2.5361 data: 0.0024 max mem: 31671 Epoch: [7] [1310/5278] eta: 2:47:31 lr: 4.176624253465668e-05 loss: 0.1137 (0.1223) loss_seg: 0.1242 (0.1321) loss_lansim: 0.1108 (0.1165) loss_contra: 0.0003 (0.0147) time: 2.5257 data: 0.0025 max mem: 31671 Epoch: [7] [1320/5278] eta: 2:47:07 lr: 4.176406799603303e-05 loss: 0.1137 (0.1224) loss_seg: 0.1242 (0.1321) loss_lansim: 0.1114 (0.1164) loss_contra: 0.0003 (0.0148) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [7] [1330/5278] eta: 2:46:40 lr: 4.176189344482906e-05 loss: 0.1137 (0.1225) loss_seg: 0.1237 (0.1323) loss_lansim: 0.1114 (0.1164) loss_contra: 0.0003 (0.0147) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [7] [1340/5278] eta: 2:46:16 lr: 4.175971888104397e-05 loss: 0.1145 (0.1230) loss_seg: 0.1242 (0.1328) loss_lansim: 0.1115 (0.1164) loss_contra: 0.0003 (0.0146) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [7] [1350/5278] eta: 2:45:50 lr: 4.1757544304676973e-05 loss: 0.1180 (0.1234) loss_seg: 0.1271 (0.1334) loss_lansim: 0.1116 (0.1163) loss_contra: 0.0003 (0.0146) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [7] [1360/5278] eta: 2:45:25 lr: 4.175536971572726e-05 loss: 0.1202 (0.1235) loss_seg: 0.1312 (0.1334) loss_lansim: 0.1132 (0.1163) loss_contra: 0.0003 (0.0152) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [7] [1370/5278] eta: 2:45:00 lr: 4.1753195114194026e-05 loss: 0.1171 (0.1232) loss_seg: 0.1246 (0.1331) loss_lansim: 0.1116 (0.1163) loss_contra: 0.0004 (0.0152) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [7] [1380/5278] eta: 2:44:35 lr: 4.1751020500076484e-05 loss: 0.1180 (0.1232) loss_seg: 0.1264 (0.1332) loss_lansim: 0.1114 (0.1163) loss_contra: 0.0004 (0.0151) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [7] [1390/5278] eta: 2:44:13 lr: 4.174884587337381e-05 loss: 0.1171 (0.1231) loss_seg: 0.1250 (0.1330) loss_lansim: 0.1108 (0.1163) loss_contra: 0.0003 (0.0150) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [7] [1400/5278] eta: 2:43:47 lr: 4.1746671234085224e-05 loss: 0.1144 (0.1232) loss_seg: 0.1239 (0.1331) loss_lansim: 0.1103 (0.1162) loss_contra: 0.0003 (0.0150) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [7] [1410/5278] eta: 2:43:22 lr: 4.174449658220992e-05 loss: 0.1144 (0.1232) loss_seg: 0.1239 (0.1331) loss_lansim: 0.1103 (0.1163) loss_contra: 0.0004 (0.0150) time: 2.5492 data: 0.0026 max mem: 31671 Epoch: [7] [1420/5278] eta: 2:42:56 lr: 4.1742321917747086e-05 loss: 0.1117 (0.1229) loss_seg: 0.1189 (0.1328) loss_lansim: 0.1088 (0.1162) loss_contra: 0.0003 (0.0149) time: 2.5407 data: 0.0026 max mem: 31671 Epoch: [7] [1430/5278] eta: 2:42:30 lr: 4.174014724069594e-05 loss: 0.1086 (0.1227) loss_seg: 0.1139 (0.1325) loss_lansim: 0.1105 (0.1162) loss_contra: 0.0004 (0.0148) time: 2.5469 data: 0.0026 max mem: 31671 Epoch: [7] [1440/5278] eta: 2:42:07 lr: 4.173797255105566e-05 loss: 0.1086 (0.1226) loss_seg: 0.1139 (0.1325) loss_lansim: 0.1088 (0.1161) loss_contra: 0.0005 (0.0150) time: 2.5504 data: 0.0026 max mem: 31671 Epoch: [7] [1450/5278] eta: 2:41:41 lr: 4.1735797848825445e-05 loss: 0.1070 (0.1230) loss_seg: 0.1134 (0.1329) loss_lansim: 0.1129 (0.1163) loss_contra: 0.0005 (0.0149) time: 2.5509 data: 0.0026 max mem: 31671 Epoch: [7] [1460/5278] eta: 2:41:15 lr: 4.173362313400451e-05 loss: 0.0975 (0.1228) loss_seg: 0.1079 (0.1327) loss_lansim: 0.1139 (0.1164) loss_contra: 0.0005 (0.0148) time: 2.5481 data: 0.0026 max mem: 31671 Epoch: [7] [1470/5278] eta: 2:40:50 lr: 4.173144840659204e-05 loss: 0.1032 (0.1230) loss_seg: 0.1139 (0.1329) loss_lansim: 0.1183 (0.1165) loss_contra: 0.0004 (0.0149) time: 2.5461 data: 0.0026 max mem: 31671 Epoch: [7] [1480/5278] eta: 2:40:23 lr: 4.1729273666587235e-05 loss: 0.1026 (0.1230) loss_seg: 0.1108 (0.1329) loss_lansim: 0.1202 (0.1165) loss_contra: 0.0004 (0.0148) time: 2.5400 data: 0.0026 max mem: 31671 Epoch: [7] [1490/5278] eta: 2:39:59 lr: 4.17270989139893e-05 loss: 0.1032 (0.1231) loss_seg: 0.1139 (0.1330) loss_lansim: 0.1202 (0.1165) loss_contra: 0.0006 (0.0149) time: 2.5328 data: 0.0026 max mem: 31671 Epoch: [7] [1500/5278] eta: 2:39:31 lr: 4.172492414879742e-05 loss: 0.1086 (0.1230) loss_seg: 0.1143 (0.1329) loss_lansim: 0.1202 (0.1165) loss_contra: 0.0006 (0.0148) time: 2.5259 data: 0.0026 max mem: 31671 Epoch: [7] [1510/5278] eta: 2:39:06 lr: 4.172274937101081e-05 loss: 0.1093 (0.1231) loss_seg: 0.1180 (0.1329) loss_lansim: 0.1207 (0.1166) loss_contra: 0.0005 (0.0147) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [7] [1520/5278] eta: 2:38:37 lr: 4.1720574580628655e-05 loss: 0.1155 (0.1231) loss_seg: 0.1187 (0.1329) loss_lansim: 0.1211 (0.1166) loss_contra: 0.0004 (0.0147) time: 2.5136 data: 0.0025 max mem: 31671 Epoch: [7] [1530/5278] eta: 2:38:11 lr: 4.1718399777650155e-05 loss: 0.1166 (0.1230) loss_seg: 0.1258 (0.1329) loss_lansim: 0.1211 (0.1167) loss_contra: 0.0003 (0.0146) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [7] [1540/5278] eta: 2:37:46 lr: 4.171622496207451e-05 loss: 0.1155 (0.1228) loss_seg: 0.1210 (0.1327) loss_lansim: 0.1225 (0.1167) loss_contra: 0.0003 (0.0147) time: 2.5017 data: 0.0025 max mem: 31671 Epoch: [7] [1550/5278] eta: 2:37:20 lr: 4.1714050133900904e-05 loss: 0.1124 (0.1228) loss_seg: 0.1187 (0.1327) loss_lansim: 0.1217 (0.1168) loss_contra: 0.0003 (0.0146) time: 2.5037 data: 0.0025 max mem: 31671 Epoch: [7] [1560/5278] eta: 2:36:56 lr: 4.171187529312856e-05 loss: 0.1124 (0.1227) loss_seg: 0.1187 (0.1325) loss_lansim: 0.1217 (0.1169) loss_contra: 0.0002 (0.0146) time: 2.5091 data: 0.0025 max mem: 31671 Epoch: [7] [1570/5278] eta: 2:36:30 lr: 4.1709700439756655e-05 loss: 0.1055 (0.1227) loss_seg: 0.1114 (0.1325) loss_lansim: 0.1197 (0.1169) loss_contra: 0.0002 (0.0145) time: 2.5037 data: 0.0025 max mem: 31671 Epoch: [7] [1580/5278] eta: 2:36:04 lr: 4.170752557378439e-05 loss: 0.1110 (0.1229) loss_seg: 0.1156 (0.1327) loss_lansim: 0.1210 (0.1170) loss_contra: 0.0003 (0.0145) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [7] [1590/5278] eta: 2:35:38 lr: 4.170535069521096e-05 loss: 0.1091 (0.1229) loss_seg: 0.1139 (0.1327) loss_lansim: 0.1231 (0.1171) loss_contra: 0.0002 (0.0145) time: 2.5003 data: 0.0025 max mem: 31671 Epoch: [7] [1600/5278] eta: 2:35:13 lr: 4.1703175804035565e-05 loss: 0.1110 (0.1230) loss_seg: 0.1156 (0.1328) loss_lansim: 0.1241 (0.1172) loss_contra: 0.0002 (0.0145) time: 2.5108 data: 0.0025 max mem: 31671 Epoch: [7] [1610/5278] eta: 2:34:47 lr: 4.1701000900257414e-05 loss: 0.1082 (0.1229) loss_seg: 0.1108 (0.1327) loss_lansim: 0.1231 (0.1172) loss_contra: 0.0002 (0.0144) time: 2.5104 data: 0.0025 max mem: 31671 Epoch: [7] [1620/5278] eta: 2:34:22 lr: 4.169882598387568e-05 loss: 0.1082 (0.1229) loss_seg: 0.1102 (0.1327) loss_lansim: 0.1231 (0.1173) loss_contra: 0.0003 (0.0144) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [7] [1630/5278] eta: 2:33:56 lr: 4.1696651054889574e-05 loss: 0.1028 (0.1230) loss_seg: 0.1102 (0.1328) loss_lansim: 0.1262 (0.1174) loss_contra: 0.0004 (0.0143) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [7] [1640/5278] eta: 2:33:29 lr: 4.16944761132983e-05 loss: 0.1112 (0.1230) loss_seg: 0.1232 (0.1328) loss_lansim: 0.1282 (0.1175) loss_contra: 0.0003 (0.0142) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [7] [1650/5278] eta: 2:33:02 lr: 4.1692301159101034e-05 loss: 0.1178 (0.1232) loss_seg: 0.1297 (0.1330) loss_lansim: 0.1287 (0.1176) loss_contra: 0.0004 (0.0142) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [7] [1660/5278] eta: 2:32:36 lr: 4.169012619229698e-05 loss: 0.1210 (0.1233) loss_seg: 0.1325 (0.1331) loss_lansim: 0.1285 (0.1177) loss_contra: 0.0004 (0.0141) time: 2.5045 data: 0.0025 max mem: 31671 Epoch: [7] [1670/5278] eta: 2:32:13 lr: 4.168795121288534e-05 loss: 0.1235 (0.1234) loss_seg: 0.1325 (0.1332) loss_lansim: 0.1295 (0.1178) loss_contra: 0.0003 (0.0140) time: 2.5150 data: 0.0025 max mem: 31671 Epoch: [7] [1680/5278] eta: 2:31:49 lr: 4.1685776220865306e-05 loss: 0.1194 (0.1236) loss_seg: 0.1253 (0.1334) loss_lansim: 0.1295 (0.1178) loss_contra: 0.0003 (0.0140) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [7] [1690/5278] eta: 2:31:24 lr: 4.168360121623607e-05 loss: 0.1109 (0.1235) loss_seg: 0.1192 (0.1334) loss_lansim: 0.1281 (0.1179) loss_contra: 0.0003 (0.0142) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [7] [1700/5278] eta: 2:30:58 lr: 4.168142619899684e-05 loss: 0.1085 (0.1235) loss_seg: 0.1176 (0.1334) loss_lansim: 0.1290 (0.1179) loss_contra: 0.0003 (0.0141) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [7] [1710/5278] eta: 2:30:32 lr: 4.16792511691468e-05 loss: 0.1162 (0.1236) loss_seg: 0.1235 (0.1334) loss_lansim: 0.1281 (0.1179) loss_contra: 0.0003 (0.0143) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [7] [1720/5278] eta: 2:30:06 lr: 4.167707612668516e-05 loss: 0.1162 (0.1234) loss_seg: 0.1240 (0.1333) loss_lansim: 0.1267 (0.1179) loss_contra: 0.0002 (0.0142) time: 2.5195 data: 0.0025 max mem: 31671 Epoch: [7] [1730/5278] eta: 2:29:43 lr: 4.1674901071611085e-05 loss: 0.1162 (0.1234) loss_seg: 0.1240 (0.1332) loss_lansim: 0.1266 (0.1180) loss_contra: 0.0002 (0.0141) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [7] [1740/5278] eta: 2:29:17 lr: 4.16727260039238e-05 loss: 0.1162 (0.1234) loss_seg: 0.1235 (0.1332) loss_lansim: 0.1237 (0.1180) loss_contra: 0.0002 (0.0141) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [7] [1750/5278] eta: 2:28:50 lr: 4.167055092362249e-05 loss: 0.1102 (0.1233) loss_seg: 0.1192 (0.1331) loss_lansim: 0.1219 (0.1180) loss_contra: 0.0002 (0.0144) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [7] [1760/5278] eta: 2:28:25 lr: 4.1668375830706354e-05 loss: 0.1102 (0.1233) loss_seg: 0.1192 (0.1331) loss_lansim: 0.1215 (0.1181) loss_contra: 0.0002 (0.0144) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [7] [1770/5278] eta: 2:28:00 lr: 4.1666200725174584e-05 loss: 0.1084 (0.1233) loss_seg: 0.1176 (0.1330) loss_lansim: 0.1208 (0.1181) loss_contra: 0.0002 (0.0143) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [7] [1780/5278] eta: 2:27:34 lr: 4.166402560702638e-05 loss: 0.1104 (0.1233) loss_seg: 0.1203 (0.1331) loss_lansim: 0.1208 (0.1181) loss_contra: 0.0002 (0.0143) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [7] [1790/5278] eta: 2:27:09 lr: 4.166185047626092e-05 loss: 0.1123 (0.1233) loss_seg: 0.1223 (0.1330) loss_lansim: 0.1191 (0.1181) loss_contra: 0.0002 (0.0142) time: 2.5234 data: 0.0025 max mem: 31671 Epoch: [7] [1800/5278] eta: 2:26:43 lr: 4.1659675332877425e-05 loss: 0.1154 (0.1235) loss_seg: 0.1243 (0.1332) loss_lansim: 0.1190 (0.1181) loss_contra: 0.0003 (0.0143) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [7] [1810/5278] eta: 2:26:21 lr: 4.165750017687506e-05 loss: 0.1123 (0.1234) loss_seg: 0.1231 (0.1332) loss_lansim: 0.1190 (0.1182) loss_contra: 0.0003 (0.0142) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [7] [1820/5278] eta: 2:25:57 lr: 4.165532500825305e-05 loss: 0.1123 (0.1234) loss_seg: 0.1231 (0.1332) loss_lansim: 0.1195 (0.1182) loss_contra: 0.0002 (0.0142) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [7] [1830/5278] eta: 2:25:32 lr: 4.1653149827010576e-05 loss: 0.1146 (0.1235) loss_seg: 0.1243 (0.1333) loss_lansim: 0.1181 (0.1182) loss_contra: 0.0002 (0.0141) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [7] [1840/5278] eta: 2:25:08 lr: 4.165097463314683e-05 loss: 0.1140 (0.1235) loss_seg: 0.1268 (0.1334) loss_lansim: 0.1188 (0.1182) loss_contra: 0.0002 (0.0140) time: 2.5564 data: 0.0025 max mem: 31671 Epoch: [7] [1850/5278] eta: 2:24:43 lr: 4.1648799426661e-05 loss: 0.1146 (0.1234) loss_seg: 0.1273 (0.1333) loss_lansim: 0.1181 (0.1182) loss_contra: 0.0002 (0.0140) time: 2.5642 data: 0.0025 max mem: 31671 Epoch: [7] [1860/5278] eta: 2:24:17 lr: 4.16466242075523e-05 loss: 0.1140 (0.1234) loss_seg: 0.1268 (0.1332) loss_lansim: 0.1188 (0.1183) loss_contra: 0.0001 (0.0141) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [7] [1870/5278] eta: 2:23:53 lr: 4.1644448975819904e-05 loss: 0.1113 (0.1232) loss_seg: 0.1231 (0.1330) loss_lansim: 0.1195 (0.1183) loss_contra: 0.0001 (0.0140) time: 2.5621 data: 0.0025 max mem: 31671 Epoch: [7] [1880/5278] eta: 2:23:27 lr: 4.164227373146302e-05 loss: 0.1108 (0.1233) loss_seg: 0.1228 (0.1331) loss_lansim: 0.1195 (0.1184) loss_contra: 0.0001 (0.0140) time: 2.5645 data: 0.0025 max mem: 31671 Epoch: [7] [1890/5278] eta: 2:23:02 lr: 4.164009847448083e-05 loss: 0.1113 (0.1234) loss_seg: 0.1231 (0.1332) loss_lansim: 0.1237 (0.1184) loss_contra: 0.0001 (0.0140) time: 2.5686 data: 0.0025 max mem: 31671 Epoch: [7] [1900/5278] eta: 2:22:37 lr: 4.163792320487255e-05 loss: 0.1108 (0.1235) loss_seg: 0.1226 (0.1333) loss_lansim: 0.1237 (0.1185) loss_contra: 0.0001 (0.0139) time: 2.5674 data: 0.0026 max mem: 31671 Epoch: [7] [1910/5278] eta: 2:22:12 lr: 4.163574792263734e-05 loss: 0.1108 (0.1234) loss_seg: 0.1213 (0.1332) loss_lansim: 0.1237 (0.1185) loss_contra: 0.0001 (0.0139) time: 2.5576 data: 0.0025 max mem: 31671 Epoch: [7] [1920/5278] eta: 2:21:47 lr: 4.163357262777442e-05 loss: 0.1108 (0.1233) loss_seg: 0.1200 (0.1331) loss_lansim: 0.1237 (0.1185) loss_contra: 0.0001 (0.0138) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [7] [1930/5278] eta: 2:21:21 lr: 4.1631397320282986e-05 loss: 0.1056 (0.1232) loss_seg: 0.1168 (0.1330) loss_lansim: 0.1237 (0.1185) loss_contra: 0.0001 (0.0139) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [7] [1940/5278] eta: 2:20:58 lr: 4.16292220001622e-05 loss: 0.1026 (0.1231) loss_seg: 0.1129 (0.1329) loss_lansim: 0.1216 (0.1185) loss_contra: 0.0001 (0.0143) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [7] [1950/5278] eta: 2:20:32 lr: 4.162704666741129e-05 loss: 0.1032 (0.1232) loss_seg: 0.1140 (0.1330) loss_lansim: 0.1237 (0.1186) loss_contra: 0.0001 (0.0142) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [7] [1960/5278] eta: 2:20:08 lr: 4.1624871322029434e-05 loss: 0.1056 (0.1232) loss_seg: 0.1168 (0.1330) loss_lansim: 0.1237 (0.1187) loss_contra: 0.0002 (0.0143) time: 2.5612 data: 0.0025 max mem: 31671 Epoch: [7] [1970/5278] eta: 2:19:43 lr: 4.162269596401583e-05 loss: 0.1108 (0.1232) loss_seg: 0.1174 (0.1331) loss_lansim: 0.1239 (0.1187) loss_contra: 0.0002 (0.0143) time: 2.5526 data: 0.0025 max mem: 31671 Epoch: [7] [1980/5278] eta: 2:19:18 lr: 4.162052059336967e-05 loss: 0.1106 (0.1232) loss_seg: 0.1152 (0.1330) loss_lansim: 0.1229 (0.1187) loss_contra: 0.0002 (0.0143) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [7] [1990/5278] eta: 2:18:54 lr: 4.1618345210090135e-05 loss: 0.0991 (0.1232) loss_seg: 0.1094 (0.1330) loss_lansim: 0.1237 (0.1188) loss_contra: 0.0003 (0.0143) time: 2.5635 data: 0.0026 max mem: 31671 Epoch: [7] [2000/5278] eta: 2:18:30 lr: 4.161616981417643e-05 loss: 0.0993 (0.1233) loss_seg: 0.1100 (0.1331) loss_lansim: 0.1229 (0.1188) loss_contra: 0.0003 (0.0143) time: 2.5709 data: 0.0025 max mem: 31671 Epoch: [7] [2010/5278] eta: 2:18:04 lr: 4.1613994405627756e-05 loss: 0.1061 (0.1234) loss_seg: 0.1151 (0.1332) loss_lansim: 0.1213 (0.1188) loss_contra: 0.0004 (0.0142) time: 2.5642 data: 0.0025 max mem: 31671 Epoch: [7] [2020/5278] eta: 2:17:39 lr: 4.161181898444328e-05 loss: 0.1032 (0.1233) loss_seg: 0.1140 (0.1331) loss_lansim: 0.1200 (0.1188) loss_contra: 0.0006 (0.0142) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [7] [2030/5278] eta: 2:17:14 lr: 4.160964355062223e-05 loss: 0.1061 (0.1232) loss_seg: 0.1152 (0.1331) loss_lansim: 0.1205 (0.1188) loss_contra: 0.0006 (0.0141) time: 2.5692 data: 0.0026 max mem: 31671 Epoch: [7] [2040/5278] eta: 2:16:47 lr: 4.1607468104163765e-05 loss: 0.1165 (0.1232) loss_seg: 0.1174 (0.1330) loss_lansim: 0.1194 (0.1188) loss_contra: 0.0007 (0.0142) time: 2.5518 data: 0.0026 max mem: 31671 Epoch: [7] [2050/5278] eta: 2:16:21 lr: 4.160529264506709e-05 loss: 0.1222 (0.1234) loss_seg: 0.1243 (0.1332) loss_lansim: 0.1194 (0.1188) loss_contra: 0.0006 (0.0141) time: 2.5469 data: 0.0026 max mem: 31671 Epoch: [7] [2060/5278] eta: 2:15:56 lr: 4.1603117173331416e-05 loss: 0.1222 (0.1234) loss_seg: 0.1243 (0.1333) loss_lansim: 0.1175 (0.1188) loss_contra: 0.0006 (0.0141) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [7] [2070/5278] eta: 2:15:31 lr: 4.16009416889559e-05 loss: 0.1223 (0.1235) loss_seg: 0.1353 (0.1333) loss_lansim: 0.1173 (0.1189) loss_contra: 0.0006 (0.0140) time: 2.5438 data: 0.0026 max mem: 31671 Epoch: [7] [2080/5278] eta: 2:15:05 lr: 4.159876619193976e-05 loss: 0.1245 (0.1234) loss_seg: 0.1356 (0.1333) loss_lansim: 0.1200 (0.1190) loss_contra: 0.0006 (0.0146) time: 2.5341 data: 0.0026 max mem: 31671 Epoch: [7] [2090/5278] eta: 2:14:40 lr: 4.159659068228218e-05 loss: 0.1248 (0.1236) loss_seg: 0.1385 (0.1335) loss_lansim: 0.1176 (0.1190) loss_contra: 0.0006 (0.0145) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [7] [2100/5278] eta: 2:14:14 lr: 4.159441515998234e-05 loss: 0.1254 (0.1237) loss_seg: 0.1385 (0.1335) loss_lansim: 0.1194 (0.1190) loss_contra: 0.0005 (0.0144) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [7] [2110/5278] eta: 2:13:48 lr: 4.159223962503946e-05 loss: 0.1248 (0.1237) loss_seg: 0.1373 (0.1336) loss_lansim: 0.1214 (0.1190) loss_contra: 0.0005 (0.0144) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [7] [2120/5278] eta: 2:13:23 lr: 4.159006407745271e-05 loss: 0.1252 (0.1238) loss_seg: 0.1385 (0.1337) loss_lansim: 0.1224 (0.1190) loss_contra: 0.0003 (0.0145) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [7] [2130/5278] eta: 2:12:59 lr: 4.1587888517221285e-05 loss: 0.1252 (0.1238) loss_seg: 0.1385 (0.1337) loss_lansim: 0.1227 (0.1191) loss_contra: 0.0003 (0.0144) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [7] [2140/5278] eta: 2:12:34 lr: 4.158571294434438e-05 loss: 0.1265 (0.1239) loss_seg: 0.1391 (0.1338) loss_lansim: 0.1240 (0.1191) loss_contra: 0.0003 (0.0144) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [7] [2150/5278] eta: 2:12:08 lr: 4.158353735882118e-05 loss: 0.1254 (0.1239) loss_seg: 0.1377 (0.1338) loss_lansim: 0.1242 (0.1192) loss_contra: 0.0002 (0.0143) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [7] [2160/5278] eta: 2:11:44 lr: 4.158136176065089e-05 loss: 0.1239 (0.1240) loss_seg: 0.1356 (0.1339) loss_lansim: 0.1262 (0.1193) loss_contra: 0.0002 (0.0143) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [7] [2170/5278] eta: 2:11:19 lr: 4.1579186149832686e-05 loss: 0.1239 (0.1239) loss_seg: 0.1331 (0.1338) loss_lansim: 0.1270 (0.1194) loss_contra: 0.0002 (0.0143) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [7] [2180/5278] eta: 2:10:54 lr: 4.157701052636577e-05 loss: 0.1200 (0.1238) loss_seg: 0.1281 (0.1337) loss_lansim: 0.1278 (0.1195) loss_contra: 0.0002 (0.0143) time: 2.5554 data: 0.0025 max mem: 31671 Epoch: [7] [2190/5278] eta: 2:10:30 lr: 4.1574834890249334e-05 loss: 0.1200 (0.1238) loss_seg: 0.1281 (0.1337) loss_lansim: 0.1287 (0.1196) loss_contra: 0.0001 (0.0142) time: 2.5570 data: 0.0025 max mem: 31671 Epoch: [7] [2200/5278] eta: 2:10:04 lr: 4.1572659241482544e-05 loss: 0.1182 (0.1237) loss_seg: 0.1263 (0.1336) loss_lansim: 0.1316 (0.1197) loss_contra: 0.0002 (0.0141) time: 2.5581 data: 0.0025 max mem: 31671 Epoch: [7] [2210/5278] eta: 2:09:39 lr: 4.1570483580064627e-05 loss: 0.1147 (0.1237) loss_seg: 0.1260 (0.1336) loss_lansim: 0.1350 (0.1198) loss_contra: 0.0002 (0.0141) time: 2.5609 data: 0.0025 max mem: 31671 Epoch: [7] [2220/5278] eta: 2:09:13 lr: 4.1568307905994754e-05 loss: 0.1182 (0.1238) loss_seg: 0.1263 (0.1337) loss_lansim: 0.1357 (0.1199) loss_contra: 0.0002 (0.0141) time: 2.5587 data: 0.0024 max mem: 31671 Epoch: [7] [2230/5278] eta: 2:08:48 lr: 4.156613221927212e-05 loss: 0.1182 (0.1238) loss_seg: 0.1263 (0.1337) loss_lansim: 0.1364 (0.1200) loss_contra: 0.0001 (0.0141) time: 2.5551 data: 0.0024 max mem: 31671 Epoch: [7] [2240/5278] eta: 2:08:23 lr: 4.156395651989591e-05 loss: 0.1108 (0.1237) loss_seg: 0.1208 (0.1336) loss_lansim: 0.1357 (0.1201) loss_contra: 0.0001 (0.0142) time: 2.5555 data: 0.0024 max mem: 31671 Epoch: [7] [2250/5278] eta: 2:07:57 lr: 4.156178080786532e-05 loss: 0.1091 (0.1237) loss_seg: 0.1192 (0.1336) loss_lansim: 0.1355 (0.1201) loss_contra: 0.0001 (0.0142) time: 2.5535 data: 0.0024 max mem: 31671 Epoch: [7] [2260/5278] eta: 2:07:31 lr: 4.1559605083179545e-05 loss: 0.1091 (0.1236) loss_seg: 0.1159 (0.1334) loss_lansim: 0.1350 (0.1202) loss_contra: 0.0001 (0.0143) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [7] [2270/5278] eta: 2:07:06 lr: 4.155742934583777e-05 loss: 0.1101 (0.1237) loss_seg: 0.1208 (0.1335) loss_lansim: 0.1350 (0.1203) loss_contra: 0.0002 (0.0143) time: 2.5420 data: 0.0024 max mem: 31671 Epoch: [7] [2280/5278] eta: 2:06:41 lr: 4.155525359583918e-05 loss: 0.1101 (0.1238) loss_seg: 0.1208 (0.1337) loss_lansim: 0.1318 (0.1203) loss_contra: 0.0003 (0.0142) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [7] [2290/5278] eta: 2:06:16 lr: 4.1553077833182967e-05 loss: 0.1101 (0.1238) loss_seg: 0.1214 (0.1336) loss_lansim: 0.1311 (0.1203) loss_contra: 0.0003 (0.0142) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [7] [2300/5278] eta: 2:05:51 lr: 4.155090205786832e-05 loss: 0.1137 (0.1239) loss_seg: 0.1223 (0.1338) loss_lansim: 0.1298 (0.1204) loss_contra: 0.0003 (0.0141) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [7] [2310/5278] eta: 2:05:25 lr: 4.154872626989445e-05 loss: 0.1104 (0.1239) loss_seg: 0.1205 (0.1337) loss_lansim: 0.1293 (0.1204) loss_contra: 0.0003 (0.0141) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [7] [2320/5278] eta: 2:05:00 lr: 4.154655046926051e-05 loss: 0.1138 (0.1239) loss_seg: 0.1222 (0.1338) loss_lansim: 0.1293 (0.1205) loss_contra: 0.0003 (0.0140) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [7] [2330/5278] eta: 2:04:35 lr: 4.1544374655965717e-05 loss: 0.1130 (0.1239) loss_seg: 0.1222 (0.1337) loss_lansim: 0.1287 (0.1205) loss_contra: 0.0004 (0.0140) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [7] [2340/5278] eta: 2:04:10 lr: 4.154219883000926e-05 loss: 0.1203 (0.1240) loss_seg: 0.1285 (0.1338) loss_lansim: 0.1287 (0.1205) loss_contra: 0.0004 (0.0140) time: 2.5376 data: 0.0026 max mem: 31671 Epoch: [7] [2350/5278] eta: 2:03:45 lr: 4.154002299139031e-05 loss: 0.1235 (0.1241) loss_seg: 0.1309 (0.1339) loss_lansim: 0.1286 (0.1206) loss_contra: 0.0004 (0.0139) time: 2.5444 data: 0.0026 max mem: 31671 Epoch: [7] [2360/5278] eta: 2:03:19 lr: 4.1537847140108075e-05 loss: 0.1284 (0.1242) loss_seg: 0.1403 (0.1341) loss_lansim: 0.1274 (0.1206) loss_contra: 0.0004 (0.0139) time: 2.5513 data: 0.0025 max mem: 31671 Epoch: [7] [2370/5278] eta: 2:02:55 lr: 4.1535671276161726e-05 loss: 0.1287 (0.1242) loss_seg: 0.1403 (0.1341) loss_lansim: 0.1255 (0.1206) loss_contra: 0.0003 (0.0138) time: 2.5523 data: 0.0026 max mem: 31671 Epoch: [7] [2380/5278] eta: 2:02:29 lr: 4.1533495399550474e-05 loss: 0.1347 (0.1244) loss_seg: 0.1444 (0.1343) loss_lansim: 0.1266 (0.1206) loss_contra: 0.0003 (0.0138) time: 2.5475 data: 0.0026 max mem: 31671 Epoch: [7] [2390/5278] eta: 2:02:03 lr: 4.153131951027349e-05 loss: 0.1391 (0.1245) loss_seg: 0.1447 (0.1344) loss_lansim: 0.1244 (0.1207) loss_contra: 0.0003 (0.0138) time: 2.5405 data: 0.0026 max mem: 31671 Epoch: [7] [2400/5278] eta: 2:01:38 lr: 4.152914360832997e-05 loss: 0.1334 (0.1246) loss_seg: 0.1426 (0.1344) loss_lansim: 0.1257 (0.1207) loss_contra: 0.0003 (0.0138) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [7] [2410/5278] eta: 2:01:12 lr: 4.15269676937191e-05 loss: 0.1391 (0.1247) loss_seg: 0.1444 (0.1345) loss_lansim: 0.1274 (0.1208) loss_contra: 0.0004 (0.0138) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [7] [2420/5278] eta: 2:00:47 lr: 4.1524791766440074e-05 loss: 0.1300 (0.1247) loss_seg: 0.1403 (0.1345) loss_lansim: 0.1257 (0.1208) loss_contra: 0.0003 (0.0137) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [7] [2430/5278] eta: 2:00:21 lr: 4.152261582649208e-05 loss: 0.1264 (0.1246) loss_seg: 0.1403 (0.1345) loss_lansim: 0.1255 (0.1209) loss_contra: 0.0003 (0.0137) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [7] [2440/5278] eta: 1:59:57 lr: 4.1520439873874306e-05 loss: 0.1232 (0.1246) loss_seg: 0.1262 (0.1345) loss_lansim: 0.1255 (0.1209) loss_contra: 0.0002 (0.0137) time: 2.5458 data: 0.0026 max mem: 31671 Epoch: [7] [2450/5278] eta: 1:59:32 lr: 4.1518263908585934e-05 loss: 0.1174 (0.1246) loss_seg: 0.1244 (0.1345) loss_lansim: 0.1260 (0.1210) loss_contra: 0.0003 (0.0136) time: 2.5393 data: 0.0026 max mem: 31671 Epoch: [7] [2460/5278] eta: 1:59:06 lr: 4.1516087930626166e-05 loss: 0.1132 (0.1246) loss_seg: 0.1156 (0.1344) loss_lansim: 0.1260 (0.1210) loss_contra: 0.0003 (0.0137) time: 2.5340 data: 0.0026 max mem: 31671 Epoch: [7] [2470/5278] eta: 1:58:40 lr: 4.151391193999417e-05 loss: 0.1132 (0.1246) loss_seg: 0.1156 (0.1344) loss_lansim: 0.1273 (0.1210) loss_contra: 0.0003 (0.0136) time: 2.5249 data: 0.0026 max mem: 31671 Epoch: [7] [2480/5278] eta: 1:58:15 lr: 4.1511735936689155e-05 loss: 0.1094 (0.1247) loss_seg: 0.1120 (0.1345) loss_lansim: 0.1273 (0.1211) loss_contra: 0.0004 (0.0136) time: 2.5267 data: 0.0026 max mem: 31671 Epoch: [7] [2490/5278] eta: 1:57:49 lr: 4.150955992071029e-05 loss: 0.1123 (0.1248) loss_seg: 0.1160 (0.1346) loss_lansim: 0.1287 (0.1211) loss_contra: 0.0004 (0.0140) time: 2.5308 data: 0.0026 max mem: 31671 Epoch: [7] [2500/5278] eta: 1:57:23 lr: 4.150738389205678e-05 loss: 0.1116 (0.1247) loss_seg: 0.1160 (0.1346) loss_lansim: 0.1267 (0.1211) loss_contra: 0.0006 (0.0139) time: 2.5238 data: 0.0026 max mem: 31671 Epoch: [7] [2510/5278] eta: 1:56:57 lr: 4.150520785072781e-05 loss: 0.1094 (0.1250) loss_seg: 0.1160 (0.1349) loss_lansim: 0.1249 (0.1211) loss_contra: 0.0006 (0.0139) time: 2.5260 data: 0.0026 max mem: 31671 Epoch: [7] [2520/5278] eta: 1:56:31 lr: 4.1503031796722555e-05 loss: 0.1120 (0.1250) loss_seg: 0.1214 (0.1349) loss_lansim: 0.1242 (0.1211) loss_contra: 0.0007 (0.0140) time: 2.5149 data: 0.0026 max mem: 31671 Epoch: [7] [2530/5278] eta: 1:56:07 lr: 4.150085573004021e-05 loss: 0.1160 (0.1251) loss_seg: 0.1242 (0.1350) loss_lansim: 0.1231 (0.1211) loss_contra: 0.0008 (0.0141) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [7] [2540/5278] eta: 1:55:41 lr: 4.1498679650679975e-05 loss: 0.1204 (0.1253) loss_seg: 0.1321 (0.1352) loss_lansim: 0.1228 (0.1210) loss_contra: 0.0012 (0.0141) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [7] [2550/5278] eta: 1:55:16 lr: 4.149650355864102e-05 loss: 0.1246 (0.1253) loss_seg: 0.1366 (0.1352) loss_lansim: 0.1214 (0.1210) loss_contra: 0.0015 (0.0141) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [7] [2560/5278] eta: 1:54:51 lr: 4.149432745392253e-05 loss: 0.1289 (0.1253) loss_seg: 0.1387 (0.1352) loss_lansim: 0.1214 (0.1210) loss_contra: 0.0014 (0.0142) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [7] [2570/5278] eta: 1:54:26 lr: 4.149215133652371e-05 loss: 0.1266 (0.1252) loss_seg: 0.1387 (0.1352) loss_lansim: 0.1202 (0.1211) loss_contra: 0.0014 (0.0142) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [7] [2580/5278] eta: 1:54:02 lr: 4.148997520644373e-05 loss: 0.1266 (0.1254) loss_seg: 0.1387 (0.1354) loss_lansim: 0.1193 (0.1211) loss_contra: 0.0009 (0.0141) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [7] [2590/5278] eta: 1:53:37 lr: 4.148779906368179e-05 loss: 0.1204 (0.1253) loss_seg: 0.1311 (0.1352) loss_lansim: 0.1195 (0.1211) loss_contra: 0.0008 (0.0142) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [7] [2600/5278] eta: 1:53:12 lr: 4.1485622908237076e-05 loss: 0.1246 (0.1254) loss_seg: 0.1376 (0.1354) loss_lansim: 0.1208 (0.1211) loss_contra: 0.0007 (0.0142) time: 2.5624 data: 0.0025 max mem: 31671 Epoch: [7] [2610/5278] eta: 1:52:47 lr: 4.1483446740108776e-05 loss: 0.1213 (0.1255) loss_seg: 0.1340 (0.1355) loss_lansim: 0.1210 (0.1211) loss_contra: 0.0006 (0.0141) time: 2.5697 data: 0.0025 max mem: 31671 Epoch: [7] [2620/5278] eta: 1:52:22 lr: 4.1481270559296055e-05 loss: 0.1215 (0.1256) loss_seg: 0.1340 (0.1356) loss_lansim: 0.1219 (0.1212) loss_contra: 0.0006 (0.0141) time: 2.5798 data: 0.0025 max mem: 31671 Epoch: [7] [2630/5278] eta: 1:51:57 lr: 4.147909436579813e-05 loss: 0.1215 (0.1256) loss_seg: 0.1336 (0.1356) loss_lansim: 0.1245 (0.1212) loss_contra: 0.0006 (0.0142) time: 2.5718 data: 0.0026 max mem: 31671 Epoch: [7] [2640/5278] eta: 1:51:31 lr: 4.147691815961416e-05 loss: 0.1246 (0.1260) loss_seg: 0.1366 (0.1359) loss_lansim: 0.1219 (0.1212) loss_contra: 0.0005 (0.0142) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [7] [2650/5278] eta: 1:51:07 lr: 4.147474194074336e-05 loss: 0.1223 (0.1259) loss_seg: 0.1340 (0.1359) loss_lansim: 0.1219 (0.1212) loss_contra: 0.0005 (0.0142) time: 2.5761 data: 0.0026 max mem: 31671 Epoch: [7] [2660/5278] eta: 1:50:41 lr: 4.147256570918489e-05 loss: 0.1300 (0.1260) loss_seg: 0.1347 (0.1359) loss_lansim: 0.1217 (0.1212) loss_contra: 0.0005 (0.0142) time: 2.5668 data: 0.0026 max mem: 31671 Epoch: [7] [2670/5278] eta: 1:50:16 lr: 4.1470389464937955e-05 loss: 0.1300 (0.1260) loss_seg: 0.1347 (0.1359) loss_lansim: 0.1215 (0.1212) loss_contra: 0.0005 (0.0142) time: 2.5688 data: 0.0026 max mem: 31671 Epoch: [7] [2680/5278] eta: 1:49:51 lr: 4.146821320800173e-05 loss: 0.1241 (0.1260) loss_seg: 0.1342 (0.1359) loss_lansim: 0.1215 (0.1212) loss_contra: 0.0006 (0.0142) time: 2.5660 data: 0.0026 max mem: 31671 Epoch: [7] [2690/5278] eta: 1:49:25 lr: 4.146603693837541e-05 loss: 0.1393 (0.1261) loss_seg: 0.1447 (0.1360) loss_lansim: 0.1215 (0.1212) loss_contra: 0.0005 (0.0144) time: 2.5575 data: 0.0026 max mem: 31671 Epoch: [7] [2700/5278] eta: 1:49:00 lr: 4.146386065605817e-05 loss: 0.1391 (0.1262) loss_seg: 0.1418 (0.1361) loss_lansim: 0.1205 (0.1212) loss_contra: 0.0005 (0.0144) time: 2.5514 data: 0.0026 max mem: 31671 Epoch: [7] [2710/5278] eta: 1:48:34 lr: 4.146168436104921e-05 loss: 0.1391 (0.1262) loss_seg: 0.1462 (0.1361) loss_lansim: 0.1181 (0.1212) loss_contra: 0.0008 (0.0144) time: 2.5453 data: 0.0026 max mem: 31671 Epoch: [7] [2720/5278] eta: 1:48:09 lr: 4.14595080533477e-05 loss: 0.1306 (0.1261) loss_seg: 0.1397 (0.1361) loss_lansim: 0.1162 (0.1212) loss_contra: 0.0006 (0.0144) time: 2.5402 data: 0.0026 max mem: 31671 Epoch: [7] [2730/5278] eta: 1:47:44 lr: 4.1457331732952834e-05 loss: 0.1347 (0.1262) loss_seg: 0.1447 (0.1362) loss_lansim: 0.1161 (0.1212) loss_contra: 0.0006 (0.0144) time: 2.5427 data: 0.0026 max mem: 31671 Epoch: [7] [2740/5278] eta: 1:47:18 lr: 4.145515539986381e-05 loss: 0.1237 (0.1262) loss_seg: 0.1320 (0.1361) loss_lansim: 0.1176 (0.1212) loss_contra: 0.0009 (0.0144) time: 2.5458 data: 0.0026 max mem: 31671 Epoch: [7] [2750/5278] eta: 1:46:53 lr: 4.145297905407979e-05 loss: 0.1237 (0.1261) loss_seg: 0.1320 (0.1361) loss_lansim: 0.1167 (0.1211) loss_contra: 0.0009 (0.0144) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [7] [2760/5278] eta: 1:46:27 lr: 4.145080269559997e-05 loss: 0.1145 (0.1262) loss_seg: 0.1266 (0.1362) loss_lansim: 0.1188 (0.1211) loss_contra: 0.0011 (0.0144) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [7] [2770/5278] eta: 1:46:01 lr: 4.144862632442353e-05 loss: 0.1247 (0.1264) loss_seg: 0.1325 (0.1364) loss_lansim: 0.1181 (0.1211) loss_contra: 0.0011 (0.0145) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [7] [2780/5278] eta: 1:45:35 lr: 4.144644994054967e-05 loss: 0.1245 (0.1264) loss_seg: 0.1292 (0.1364) loss_lansim: 0.1208 (0.1211) loss_contra: 0.0011 (0.0144) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [7] [2790/5278] eta: 1:45:10 lr: 4.144427354397756e-05 loss: 0.1237 (0.1265) loss_seg: 0.1256 (0.1365) loss_lansim: 0.1210 (0.1211) loss_contra: 0.0014 (0.0145) time: 2.5162 data: 0.0025 max mem: 31671 Epoch: [7] [2800/5278] eta: 1:44:44 lr: 4.144209713470639e-05 loss: 0.1237 (0.1265) loss_seg: 0.1256 (0.1366) loss_lansim: 0.1193 (0.1211) loss_contra: 0.0018 (0.0145) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [7] [2810/5278] eta: 1:44:19 lr: 4.143992071273535e-05 loss: 0.1194 (0.1265) loss_seg: 0.1256 (0.1365) loss_lansim: 0.1193 (0.1211) loss_contra: 0.0013 (0.0145) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [7] [2820/5278] eta: 1:43:53 lr: 4.143774427806362e-05 loss: 0.1194 (0.1265) loss_seg: 0.1254 (0.1365) loss_lansim: 0.1191 (0.1210) loss_contra: 0.0013 (0.0145) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [7] [2830/5278] eta: 1:43:28 lr: 4.143556783069038e-05 loss: 0.1182 (0.1264) loss_seg: 0.1231 (0.1365) loss_lansim: 0.1191 (0.1210) loss_contra: 0.0012 (0.0145) time: 2.5173 data: 0.0025 max mem: 31671 Epoch: [7] [2840/5278] eta: 1:43:03 lr: 4.143339137061482e-05 loss: 0.1194 (0.1265) loss_seg: 0.1256 (0.1365) loss_lansim: 0.1179 (0.1210) loss_contra: 0.0012 (0.0145) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [7] [2850/5278] eta: 1:42:37 lr: 4.1431214897836136e-05 loss: 0.1198 (0.1265) loss_seg: 0.1326 (0.1365) loss_lansim: 0.1179 (0.1210) loss_contra: 0.0011 (0.0144) time: 2.5171 data: 0.0025 max mem: 31671 Epoch: [7] [2860/5278] eta: 1:42:12 lr: 4.1429038412353484e-05 loss: 0.1217 (0.1266) loss_seg: 0.1328 (0.1367) loss_lansim: 0.1152 (0.1210) loss_contra: 0.0007 (0.0144) time: 2.5168 data: 0.0025 max mem: 31671 Epoch: [7] [2870/5278] eta: 1:41:47 lr: 4.142686191416607e-05 loss: 0.1195 (0.1266) loss_seg: 0.1312 (0.1367) loss_lansim: 0.1175 (0.1210) loss_contra: 0.0005 (0.0143) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [7] [2880/5278] eta: 1:41:21 lr: 4.142468540327307e-05 loss: 0.1195 (0.1266) loss_seg: 0.1326 (0.1367) loss_lansim: 0.1175 (0.1211) loss_contra: 0.0005 (0.0143) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [7] [2890/5278] eta: 1:40:55 lr: 4.1422508879673674e-05 loss: 0.1221 (0.1269) loss_seg: 0.1352 (0.1370) loss_lansim: 0.1175 (0.1211) loss_contra: 0.0004 (0.0143) time: 2.5248 data: 0.0025 max mem: 31671 Epoch: [7] [2900/5278] eta: 1:40:29 lr: 4.1420332343367067e-05 loss: 0.1217 (0.1269) loss_seg: 0.1352 (0.1370) loss_lansim: 0.1186 (0.1211) loss_contra: 0.0004 (0.0143) time: 2.5222 data: 0.0024 max mem: 31671 Epoch: [7] [2910/5278] eta: 1:40:04 lr: 4.141815579435242e-05 loss: 0.1271 (0.1270) loss_seg: 0.1355 (0.1371) loss_lansim: 0.1216 (0.1211) loss_contra: 0.0005 (0.0144) time: 2.5185 data: 0.0024 max mem: 31671 Epoch: [7] [2920/5278] eta: 1:39:39 lr: 4.141597923262893e-05 loss: 0.1277 (0.1270) loss_seg: 0.1419 (0.1371) loss_lansim: 0.1217 (0.1211) loss_contra: 0.0006 (0.0145) time: 2.5207 data: 0.0024 max mem: 31671 Epoch: [7] [2930/5278] eta: 1:39:13 lr: 4.141380265819578e-05 loss: 0.1271 (0.1269) loss_seg: 0.1397 (0.1370) loss_lansim: 0.1217 (0.1212) loss_contra: 0.0006 (0.0144) time: 2.5181 data: 0.0024 max mem: 31671 Epoch: [7] [2940/5278] eta: 1:38:47 lr: 4.1411626071052145e-05 loss: 0.1298 (0.1271) loss_seg: 0.1442 (0.1372) loss_lansim: 0.1247 (0.1213) loss_contra: 0.0004 (0.0144) time: 2.5100 data: 0.0024 max mem: 31671 Epoch: [7] [2950/5278] eta: 1:38:23 lr: 4.140944947119721e-05 loss: 0.1297 (0.1271) loss_seg: 0.1435 (0.1372) loss_lansim: 0.1259 (0.1213) loss_contra: 0.0005 (0.0145) time: 2.5245 data: 0.0024 max mem: 31671 Epoch: [7] [2960/5278] eta: 1:37:58 lr: 4.1407272858630166e-05 loss: 0.1279 (0.1271) loss_seg: 0.1420 (0.1372) loss_lansim: 0.1259 (0.1213) loss_contra: 0.0006 (0.0145) time: 2.5300 data: 0.0024 max mem: 31671 Epoch: [7] [2970/5278] eta: 1:37:32 lr: 4.140509623335019e-05 loss: 0.1317 (0.1271) loss_seg: 0.1447 (0.1372) loss_lansim: 0.1267 (0.1213) loss_contra: 0.0009 (0.0144) time: 2.5241 data: 0.0024 max mem: 31671 Epoch: [7] [2980/5278] eta: 1:37:07 lr: 4.140291959535647e-05 loss: 0.1348 (0.1272) loss_seg: 0.1456 (0.1373) loss_lansim: 0.1259 (0.1213) loss_contra: 0.0009 (0.0144) time: 2.5408 data: 0.0024 max mem: 31671 Epoch: [7] [2990/5278] eta: 1:36:42 lr: 4.140074294464818e-05 loss: 0.1348 (0.1273) loss_seg: 0.1447 (0.1374) loss_lansim: 0.1268 (0.1213) loss_contra: 0.0009 (0.0144) time: 2.5375 data: 0.0024 max mem: 31671 Epoch: [7] [3000/5278] eta: 1:36:17 lr: 4.1398566281224514e-05 loss: 0.1322 (0.1272) loss_seg: 0.1414 (0.1373) loss_lansim: 0.1268 (0.1213) loss_contra: 0.0009 (0.0144) time: 2.5494 data: 0.0024 max mem: 31671 Epoch: [7] [3010/5278] eta: 1:35:52 lr: 4.1396389605084646e-05 loss: 0.1332 (0.1273) loss_seg: 0.1435 (0.1374) loss_lansim: 0.1257 (0.1213) loss_contra: 0.0004 (0.0143) time: 2.5528 data: 0.0024 max mem: 31671 Epoch: [7] [3020/5278] eta: 1:35:26 lr: 4.1394212916227764e-05 loss: 0.1352 (0.1274) loss_seg: 0.1447 (0.1375) loss_lansim: 0.1253 (0.1213) loss_contra: 0.0004 (0.0143) time: 2.5530 data: 0.0024 max mem: 31671 Epoch: [7] [3030/5278] eta: 1:35:01 lr: 4.1392036214653054e-05 loss: 0.1352 (0.1273) loss_seg: 0.1451 (0.1374) loss_lansim: 0.1233 (0.1213) loss_contra: 0.0004 (0.0144) time: 2.5497 data: 0.0024 max mem: 31671 Epoch: [7] [3040/5278] eta: 1:34:35 lr: 4.138985950035969e-05 loss: 0.1317 (0.1274) loss_seg: 0.1368 (0.1375) loss_lansim: 0.1215 (0.1213) loss_contra: 0.0004 (0.0143) time: 2.5515 data: 0.0024 max mem: 31671 Epoch: [7] [3050/5278] eta: 1:34:09 lr: 4.138768277334686e-05 loss: 0.1207 (0.1273) loss_seg: 0.1319 (0.1374) loss_lansim: 0.1208 (0.1213) loss_contra: 0.0004 (0.0143) time: 2.5372 data: 0.0024 max mem: 31671 Epoch: [7] [3060/5278] eta: 1:33:43 lr: 4.138550603361374e-05 loss: 0.1233 (0.1273) loss_seg: 0.1339 (0.1374) loss_lansim: 0.1208 (0.1213) loss_contra: 0.0004 (0.0144) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [7] [3070/5278] eta: 1:33:18 lr: 4.138332928115952e-05 loss: 0.1207 (0.1273) loss_seg: 0.1309 (0.1374) loss_lansim: 0.1209 (0.1213) loss_contra: 0.0004 (0.0144) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [7] [3080/5278] eta: 1:32:53 lr: 4.138115251598338e-05 loss: 0.1138 (0.1272) loss_seg: 0.1232 (0.1373) loss_lansim: 0.1209 (0.1213) loss_contra: 0.0003 (0.0145) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [7] [3090/5278] eta: 1:32:27 lr: 4.13789757380845e-05 loss: 0.1068 (0.1272) loss_seg: 0.1169 (0.1373) loss_lansim: 0.1202 (0.1213) loss_contra: 0.0004 (0.0146) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [7] [3100/5278] eta: 1:32:02 lr: 4.137679894746207e-05 loss: 0.1081 (0.1272) loss_seg: 0.1178 (0.1373) loss_lansim: 0.1181 (0.1212) loss_contra: 0.0004 (0.0146) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [7] [3110/5278] eta: 1:31:37 lr: 4.137462214411525e-05 loss: 0.1052 (0.1271) loss_seg: 0.1162 (0.1372) loss_lansim: 0.1181 (0.1212) loss_contra: 0.0005 (0.0147) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [7] [3120/5278] eta: 1:31:11 lr: 4.137244532804325e-05 loss: 0.1068 (0.1272) loss_seg: 0.1169 (0.1373) loss_lansim: 0.1171 (0.1213) loss_contra: 0.0005 (0.0146) time: 2.5090 data: 0.0026 max mem: 31671 Epoch: [7] [3130/5278] eta: 1:30:45 lr: 4.1370268499245236e-05 loss: 0.1090 (0.1273) loss_seg: 0.1193 (0.1374) loss_lansim: 0.1164 (0.1213) loss_contra: 0.0006 (0.0146) time: 2.5118 data: 0.0026 max mem: 31671 Epoch: [7] [3140/5278] eta: 1:30:20 lr: 4.1368091657720396e-05 loss: 0.1103 (0.1273) loss_seg: 0.1193 (0.1374) loss_lansim: 0.1171 (0.1213) loss_contra: 0.0006 (0.0146) time: 2.5083 data: 0.0026 max mem: 31671 Epoch: [7] [3150/5278] eta: 1:29:55 lr: 4.1365914803467896e-05 loss: 0.1138 (0.1274) loss_seg: 0.1245 (0.1375) loss_lansim: 0.1173 (0.1213) loss_contra: 0.0006 (0.0145) time: 2.5197 data: 0.0026 max mem: 31671 Epoch: [7] [3160/5278] eta: 1:29:29 lr: 4.136373793648694e-05 loss: 0.1130 (0.1274) loss_seg: 0.1222 (0.1375) loss_lansim: 0.1201 (0.1213) loss_contra: 0.0006 (0.0145) time: 2.5252 data: 0.0026 max mem: 31671 Epoch: [7] [3170/5278] eta: 1:29:04 lr: 4.136156105677669e-05 loss: 0.1130 (0.1275) loss_seg: 0.1232 (0.1376) loss_lansim: 0.1190 (0.1213) loss_contra: 0.0011 (0.0145) time: 2.5221 data: 0.0026 max mem: 31671 Epoch: [7] [3180/5278] eta: 1:28:39 lr: 4.135938416433634e-05 loss: 0.1132 (0.1275) loss_seg: 0.1245 (0.1376) loss_lansim: 0.1204 (0.1213) loss_contra: 0.0012 (0.0145) time: 2.5262 data: 0.0026 max mem: 31671 Epoch: [7] [3190/5278] eta: 1:28:13 lr: 4.135720725916506e-05 loss: 0.1130 (0.1275) loss_seg: 0.1241 (0.1376) loss_lansim: 0.1204 (0.1213) loss_contra: 0.0012 (0.0146) time: 2.5262 data: 0.0026 max mem: 31671 Epoch: [7] [3200/5278] eta: 1:27:48 lr: 4.135503034126205e-05 loss: 0.1132 (0.1275) loss_seg: 0.1245 (0.1376) loss_lansim: 0.1202 (0.1213) loss_contra: 0.0012 (0.0148) time: 2.5245 data: 0.0026 max mem: 31671 Epoch: [7] [3210/5278] eta: 1:27:22 lr: 4.135285341062647e-05 loss: 0.1135 (0.1275) loss_seg: 0.1254 (0.1376) loss_lansim: 0.1202 (0.1213) loss_contra: 0.0010 (0.0147) time: 2.5151 data: 0.0026 max mem: 31671 Epoch: [7] [3220/5278] eta: 1:26:56 lr: 4.1350676467257504e-05 loss: 0.1120 (0.1274) loss_seg: 0.1193 (0.1375) loss_lansim: 0.1204 (0.1213) loss_contra: 0.0011 (0.0148) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [7] [3230/5278] eta: 1:26:31 lr: 4.134849951115434e-05 loss: 0.1073 (0.1274) loss_seg: 0.1183 (0.1375) loss_lansim: 0.1207 (0.1213) loss_contra: 0.0010 (0.0147) time: 2.5241 data: 0.0026 max mem: 31671 Epoch: [7] [3240/5278] eta: 1:26:06 lr: 4.1346322542316166e-05 loss: 0.1048 (0.1274) loss_seg: 0.1158 (0.1375) loss_lansim: 0.1208 (0.1213) loss_contra: 0.0010 (0.0147) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [7] [3250/5278] eta: 1:25:40 lr: 4.1344145560742146e-05 loss: 0.1045 (0.1274) loss_seg: 0.1145 (0.1375) loss_lansim: 0.1210 (0.1213) loss_contra: 0.0008 (0.0149) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [7] [3260/5278] eta: 1:25:15 lr: 4.134196856643147e-05 loss: 0.1045 (0.1275) loss_seg: 0.1145 (0.1376) loss_lansim: 0.1208 (0.1213) loss_contra: 0.0007 (0.0148) time: 2.5281 data: 0.0026 max mem: 31671 Epoch: [7] [3270/5278] eta: 1:24:50 lr: 4.133979155938332e-05 loss: 0.1033 (0.1274) loss_seg: 0.1135 (0.1375) loss_lansim: 0.1210 (0.1213) loss_contra: 0.0005 (0.0149) time: 2.5348 data: 0.0026 max mem: 31671 Epoch: [7] [3280/5278] eta: 1:24:24 lr: 4.133761453959686e-05 loss: 0.1073 (0.1276) loss_seg: 0.1158 (0.1377) loss_lansim: 0.1216 (0.1214) loss_contra: 0.0005 (0.0148) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [7] [3290/5278] eta: 1:23:59 lr: 4.1335437507071285e-05 loss: 0.1073 (0.1275) loss_seg: 0.1158 (0.1376) loss_lansim: 0.1222 (0.1214) loss_contra: 0.0005 (0.0148) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [7] [3300/5278] eta: 1:23:34 lr: 4.1333260461805775e-05 loss: 0.1086 (0.1276) loss_seg: 0.1160 (0.1377) loss_lansim: 0.1242 (0.1214) loss_contra: 0.0004 (0.0148) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [7] [3310/5278] eta: 1:23:09 lr: 4.1331083403799507e-05 loss: 0.1101 (0.1275) loss_seg: 0.1179 (0.1377) loss_lansim: 0.1242 (0.1214) loss_contra: 0.0004 (0.0148) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [7] [3320/5278] eta: 1:22:43 lr: 4.1328906333051654e-05 loss: 0.1148 (0.1275) loss_seg: 0.1245 (0.1376) loss_lansim: 0.1234 (0.1214) loss_contra: 0.0005 (0.0148) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [7] [3330/5278] eta: 1:22:18 lr: 4.132672924956141e-05 loss: 0.1176 (0.1276) loss_seg: 0.1245 (0.1378) loss_lansim: 0.1242 (0.1214) loss_contra: 0.0005 (0.0147) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [7] [3340/5278] eta: 1:21:53 lr: 4.132455215332794e-05 loss: 0.1152 (0.1277) loss_seg: 0.1245 (0.1378) loss_lansim: 0.1241 (0.1214) loss_contra: 0.0005 (0.0148) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [7] [3350/5278] eta: 1:21:27 lr: 4.132237504435043e-05 loss: 0.1148 (0.1276) loss_seg: 0.1245 (0.1378) loss_lansim: 0.1238 (0.1214) loss_contra: 0.0005 (0.0147) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [7] [3360/5278] eta: 1:21:02 lr: 4.132019792262806e-05 loss: 0.1135 (0.1276) loss_seg: 0.1209 (0.1377) loss_lansim: 0.1238 (0.1214) loss_contra: 0.0006 (0.0147) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [7] [3370/5278] eta: 1:20:37 lr: 4.131802078816001e-05 loss: 0.1174 (0.1276) loss_seg: 0.1222 (0.1377) loss_lansim: 0.1234 (0.1214) loss_contra: 0.0007 (0.0147) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [7] [3380/5278] eta: 1:20:11 lr: 4.131584364094545e-05 loss: 0.1123 (0.1276) loss_seg: 0.1200 (0.1378) loss_lansim: 0.1234 (0.1214) loss_contra: 0.0006 (0.0146) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [7] [3390/5278] eta: 1:19:45 lr: 4.1313666480983584e-05 loss: 0.1174 (0.1276) loss_seg: 0.1222 (0.1378) loss_lansim: 0.1234 (0.1214) loss_contra: 0.0005 (0.0146) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [7] [3400/5278] eta: 1:19:20 lr: 4.1311489308273564e-05 loss: 0.1174 (0.1277) loss_seg: 0.1209 (0.1378) loss_lansim: 0.1226 (0.1214) loss_contra: 0.0007 (0.0146) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [7] [3410/5278] eta: 1:18:55 lr: 4.1309312122814574e-05 loss: 0.1144 (0.1276) loss_seg: 0.1200 (0.1378) loss_lansim: 0.1234 (0.1214) loss_contra: 0.0007 (0.0145) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [7] [3420/5278] eta: 1:18:29 lr: 4.13071349246058e-05 loss: 0.1123 (0.1277) loss_seg: 0.1170 (0.1378) loss_lansim: 0.1256 (0.1215) loss_contra: 0.0007 (0.0146) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [7] [3430/5278] eta: 1:18:04 lr: 4.130495771364643e-05 loss: 0.1110 (0.1277) loss_seg: 0.1163 (0.1378) loss_lansim: 0.1256 (0.1215) loss_contra: 0.0007 (0.0145) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [7] [3440/5278] eta: 1:17:39 lr: 4.130278048993562e-05 loss: 0.1110 (0.1277) loss_seg: 0.1152 (0.1378) loss_lansim: 0.1256 (0.1215) loss_contra: 0.0006 (0.0145) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [7] [3450/5278] eta: 1:17:14 lr: 4.130060325347255e-05 loss: 0.1128 (0.1278) loss_seg: 0.1163 (0.1379) loss_lansim: 0.1265 (0.1215) loss_contra: 0.0006 (0.0145) time: 2.5401 data: 0.0024 max mem: 31671 Epoch: [7] [3460/5278] eta: 1:16:49 lr: 4.129842600425642e-05 loss: 0.1128 (0.1278) loss_seg: 0.1185 (0.1380) loss_lansim: 0.1275 (0.1216) loss_contra: 0.0003 (0.0144) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [7] [3470/5278] eta: 1:16:24 lr: 4.1296248742286384e-05 loss: 0.1180 (0.1278) loss_seg: 0.1267 (0.1380) loss_lansim: 0.1279 (0.1216) loss_contra: 0.0003 (0.0145) time: 2.5530 data: 0.0024 max mem: 31671 Epoch: [7] [3480/5278] eta: 1:15:58 lr: 4.129407146756165e-05 loss: 0.1144 (0.1278) loss_seg: 0.1202 (0.1380) loss_lansim: 0.1278 (0.1216) loss_contra: 0.0002 (0.0145) time: 2.5479 data: 0.0024 max mem: 31671 Epoch: [7] [3490/5278] eta: 1:15:33 lr: 4.129189418008137e-05 loss: 0.1112 (0.1279) loss_seg: 0.1201 (0.1381) loss_lansim: 0.1279 (0.1216) loss_contra: 0.0002 (0.0144) time: 2.5515 data: 0.0024 max mem: 31671 Epoch: [7] [3500/5278] eta: 1:15:07 lr: 4.1289716879844716e-05 loss: 0.1112 (0.1280) loss_seg: 0.1202 (0.1382) loss_lansim: 0.1279 (0.1216) loss_contra: 0.0002 (0.0144) time: 2.5548 data: 0.0024 max mem: 31671 Epoch: [7] [3510/5278] eta: 1:14:42 lr: 4.128753956685089e-05 loss: 0.1193 (0.1280) loss_seg: 0.1321 (0.1382) loss_lansim: 0.1279 (0.1217) loss_contra: 0.0002 (0.0144) time: 2.5522 data: 0.0024 max mem: 31671 Epoch: [7] [3520/5278] eta: 1:14:17 lr: 4.128536224109906e-05 loss: 0.1112 (0.1279) loss_seg: 0.1216 (0.1381) loss_lansim: 0.1258 (0.1217) loss_contra: 0.0002 (0.0144) time: 2.5554 data: 0.0025 max mem: 31671 Epoch: [7] [3530/5278] eta: 1:13:52 lr: 4.12831849025884e-05 loss: 0.1222 (0.1279) loss_seg: 0.1321 (0.1381) loss_lansim: 0.1258 (0.1217) loss_contra: 0.0002 (0.0143) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [7] [3540/5278] eta: 1:13:27 lr: 4.12810075513181e-05 loss: 0.1193 (0.1279) loss_seg: 0.1235 (0.1381) loss_lansim: 0.1259 (0.1217) loss_contra: 0.0003 (0.0143) time: 2.5537 data: 0.0025 max mem: 31671 Epoch: [7] [3550/5278] eta: 1:13:01 lr: 4.127883018728732e-05 loss: 0.1109 (0.1278) loss_seg: 0.1222 (0.1380) loss_lansim: 0.1258 (0.1217) loss_contra: 0.0003 (0.0143) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [7] [3560/5278] eta: 1:12:36 lr: 4.1276652810495245e-05 loss: 0.1109 (0.1277) loss_seg: 0.1222 (0.1379) loss_lansim: 0.1257 (0.1218) loss_contra: 0.0002 (0.0143) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [7] [3570/5278] eta: 1:12:11 lr: 4.127447542094105e-05 loss: 0.1109 (0.1278) loss_seg: 0.1216 (0.1379) loss_lansim: 0.1257 (0.1218) loss_contra: 0.0002 (0.0146) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [7] [3580/5278] eta: 1:11:45 lr: 4.127229801862391e-05 loss: 0.1109 (0.1278) loss_seg: 0.1222 (0.1380) loss_lansim: 0.1247 (0.1218) loss_contra: 0.0002 (0.0145) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [7] [3590/5278] eta: 1:11:20 lr: 4.127012060354302e-05 loss: 0.1118 (0.1277) loss_seg: 0.1226 (0.1379) loss_lansim: 0.1247 (0.1218) loss_contra: 0.0002 (0.0146) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [7] [3600/5278] eta: 1:10:55 lr: 4.126794317569753e-05 loss: 0.1115 (0.1277) loss_seg: 0.1226 (0.1379) loss_lansim: 0.1258 (0.1218) loss_contra: 0.0002 (0.0145) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [7] [3610/5278] eta: 1:10:29 lr: 4.1265765735086645e-05 loss: 0.1115 (0.1278) loss_seg: 0.1226 (0.1380) loss_lansim: 0.1258 (0.1218) loss_contra: 0.0002 (0.0145) time: 2.5454 data: 0.0025 max mem: 31671 Epoch: [7] [3620/5278] eta: 1:10:04 lr: 4.1263588281709514e-05 loss: 0.1109 (0.1277) loss_seg: 0.1222 (0.1379) loss_lansim: 0.1278 (0.1218) loss_contra: 0.0002 (0.0145) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [7] [3630/5278] eta: 1:09:39 lr: 4.126141081556533e-05 loss: 0.1076 (0.1276) loss_seg: 0.1173 (0.1378) loss_lansim: 0.1266 (0.1218) loss_contra: 0.0004 (0.0145) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [7] [3640/5278] eta: 1:09:13 lr: 4.1259233336653275e-05 loss: 0.1057 (0.1276) loss_seg: 0.1148 (0.1378) loss_lansim: 0.1278 (0.1219) loss_contra: 0.0004 (0.0144) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [7] [3650/5278] eta: 1:08:48 lr: 4.125705584497251e-05 loss: 0.1098 (0.1276) loss_seg: 0.1173 (0.1378) loss_lansim: 0.1257 (0.1219) loss_contra: 0.0003 (0.0145) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [7] [3660/5278] eta: 1:08:23 lr: 4.125487834052221e-05 loss: 0.1115 (0.1276) loss_seg: 0.1216 (0.1378) loss_lansim: 0.1237 (0.1219) loss_contra: 0.0006 (0.0145) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [7] [3670/5278] eta: 1:07:58 lr: 4.125270082330157e-05 loss: 0.1022 (0.1275) loss_seg: 0.1133 (0.1377) loss_lansim: 0.1237 (0.1219) loss_contra: 0.0007 (0.0145) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [7] [3680/5278] eta: 1:07:32 lr: 4.125052329330975e-05 loss: 0.1115 (0.1276) loss_seg: 0.1235 (0.1378) loss_lansim: 0.1282 (0.1219) loss_contra: 0.0005 (0.0145) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [7] [3690/5278] eta: 1:07:07 lr: 4.124834575054594e-05 loss: 0.1108 (0.1276) loss_seg: 0.1226 (0.1378) loss_lansim: 0.1283 (0.1220) loss_contra: 0.0005 (0.0145) time: 2.5538 data: 0.0025 max mem: 31671 Epoch: [7] [3700/5278] eta: 1:06:42 lr: 4.1246168195009296e-05 loss: 0.1058 (0.1276) loss_seg: 0.1173 (0.1378) loss_lansim: 0.1265 (0.1220) loss_contra: 0.0005 (0.0144) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [7] [3710/5278] eta: 1:06:17 lr: 4.124399062669901e-05 loss: 0.0997 (0.1275) loss_seg: 0.1102 (0.1377) loss_lansim: 0.1282 (0.1220) loss_contra: 0.0005 (0.0145) time: 2.5641 data: 0.0025 max mem: 31671 Epoch: [7] [3720/5278] eta: 1:05:51 lr: 4.124181304561425e-05 loss: 0.1026 (0.1276) loss_seg: 0.1080 (0.1378) loss_lansim: 0.1283 (0.1220) loss_contra: 0.0004 (0.0145) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [7] [3730/5278] eta: 1:05:26 lr: 4.12396354517542e-05 loss: 0.1026 (0.1275) loss_seg: 0.1080 (0.1377) loss_lansim: 0.1291 (0.1221) loss_contra: 0.0003 (0.0145) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [7] [3740/5278] eta: 1:05:00 lr: 4.1237457845118024e-05 loss: 0.1049 (0.1275) loss_seg: 0.1141 (0.1377) loss_lansim: 0.1291 (0.1221) loss_contra: 0.0002 (0.0145) time: 2.5503 data: 0.0025 max mem: 31671 Epoch: [7] [3750/5278] eta: 1:04:35 lr: 4.1235280225704905e-05 loss: 0.1066 (0.1275) loss_seg: 0.1160 (0.1377) loss_lansim: 0.1317 (0.1221) loss_contra: 0.0004 (0.0145) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [7] [3760/5278] eta: 1:04:10 lr: 4.1233102593514016e-05 loss: 0.1085 (0.1275) loss_seg: 0.1183 (0.1377) loss_lansim: 0.1316 (0.1221) loss_contra: 0.0003 (0.0145) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [7] [3770/5278] eta: 1:03:45 lr: 4.1230924948544544e-05 loss: 0.1049 (0.1274) loss_seg: 0.1141 (0.1376) loss_lansim: 0.1312 (0.1222) loss_contra: 0.0002 (0.0145) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [7] [3780/5278] eta: 1:03:20 lr: 4.1228747290795636e-05 loss: 0.1026 (0.1274) loss_seg: 0.1078 (0.1376) loss_lansim: 0.1308 (0.1222) loss_contra: 0.0002 (0.0145) time: 2.5612 data: 0.0025 max mem: 31671 Epoch: [7] [3790/5278] eta: 1:02:54 lr: 4.122656962026649e-05 loss: 0.1020 (0.1274) loss_seg: 0.1071 (0.1376) loss_lansim: 0.1296 (0.1222) loss_contra: 0.0002 (0.0145) time: 2.5584 data: 0.0025 max mem: 31671 Epoch: [7] [3800/5278] eta: 1:02:29 lr: 4.1224391936956276e-05 loss: 0.1027 (0.1274) loss_seg: 0.1094 (0.1376) loss_lansim: 0.1296 (0.1222) loss_contra: 0.0003 (0.0145) time: 2.5546 data: 0.0025 max mem: 31671 Epoch: [7] [3810/5278] eta: 1:02:03 lr: 4.1222214240864164e-05 loss: 0.1036 (0.1274) loss_seg: 0.1119 (0.1376) loss_lansim: 0.1296 (0.1222) loss_contra: 0.0003 (0.0144) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [7] [3820/5278] eta: 1:01:38 lr: 4.122003653198934e-05 loss: 0.1074 (0.1274) loss_seg: 0.1160 (0.1376) loss_lansim: 0.1287 (0.1222) loss_contra: 0.0004 (0.0144) time: 2.5549 data: 0.0025 max mem: 31671 Epoch: [7] [3830/5278] eta: 1:01:13 lr: 4.1217858810330965e-05 loss: 0.1102 (0.1276) loss_seg: 0.1215 (0.1379) loss_lansim: 0.1273 (0.1222) loss_contra: 0.0004 (0.0144) time: 2.5627 data: 0.0025 max mem: 31671 Epoch: [7] [3840/5278] eta: 1:00:48 lr: 4.1215681075888217e-05 loss: 0.1097 (0.1276) loss_seg: 0.1190 (0.1379) loss_lansim: 0.1267 (0.1223) loss_contra: 0.0004 (0.0144) time: 2.5746 data: 0.0025 max mem: 31671 Epoch: [7] [3850/5278] eta: 1:00:23 lr: 4.121350332866028e-05 loss: 0.1068 (0.1277) loss_seg: 0.1175 (0.1379) loss_lansim: 0.1240 (0.1223) loss_contra: 0.0003 (0.0145) time: 2.5779 data: 0.0025 max mem: 31671 Epoch: [7] [3860/5278] eta: 0:59:58 lr: 4.121132556864632e-05 loss: 0.1045 (0.1277) loss_seg: 0.1160 (0.1379) loss_lansim: 0.1245 (0.1223) loss_contra: 0.0003 (0.0146) time: 2.5682 data: 0.0025 max mem: 31671 Epoch: [7] [3870/5278] eta: 0:59:32 lr: 4.1209147795845506e-05 loss: 0.1144 (0.1277) loss_seg: 0.1220 (0.1380) loss_lansim: 0.1245 (0.1223) loss_contra: 0.0003 (0.0146) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [7] [3880/5278] eta: 0:59:07 lr: 4.1206970010257025e-05 loss: 0.1185 (0.1278) loss_seg: 0.1290 (0.1380) loss_lansim: 0.1257 (0.1223) loss_contra: 0.0004 (0.0146) time: 2.5574 data: 0.0026 max mem: 31671 Epoch: [7] [3890/5278] eta: 0:58:41 lr: 4.1204792211880034e-05 loss: 0.1137 (0.1277) loss_seg: 0.1220 (0.1379) loss_lansim: 0.1246 (0.1223) loss_contra: 0.0003 (0.0145) time: 2.5567 data: 0.0026 max mem: 31671 Epoch: [7] [3900/5278] eta: 0:58:16 lr: 4.120261440071373e-05 loss: 0.1185 (0.1278) loss_seg: 0.1308 (0.1380) loss_lansim: 0.1257 (0.1224) loss_contra: 0.0004 (0.0146) time: 2.5593 data: 0.0026 max mem: 31671 Epoch: [7] [3910/5278] eta: 0:57:51 lr: 4.120043657675727e-05 loss: 0.1197 (0.1278) loss_seg: 0.1325 (0.1380) loss_lansim: 0.1262 (0.1224) loss_contra: 0.0004 (0.0145) time: 2.5665 data: 0.0026 max mem: 31671 Epoch: [7] [3920/5278] eta: 0:57:25 lr: 4.1198258740009826e-05 loss: 0.1235 (0.1279) loss_seg: 0.1367 (0.1381) loss_lansim: 0.1257 (0.1224) loss_contra: 0.0004 (0.0145) time: 2.5541 data: 0.0026 max mem: 31671 Epoch: [7] [3930/5278] eta: 0:57:00 lr: 4.119608089047058e-05 loss: 0.1228 (0.1279) loss_seg: 0.1334 (0.1381) loss_lansim: 0.1246 (0.1224) loss_contra: 0.0003 (0.0145) time: 2.5413 data: 0.0026 max mem: 31671 Epoch: [7] [3940/5278] eta: 0:56:34 lr: 4.1193903028138706e-05 loss: 0.1308 (0.1279) loss_seg: 0.1367 (0.1382) loss_lansim: 0.1246 (0.1224) loss_contra: 0.0003 (0.0145) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [7] [3950/5278] eta: 0:56:09 lr: 4.1191725153013374e-05 loss: 0.1321 (0.1279) loss_seg: 0.1416 (0.1382) loss_lansim: 0.1257 (0.1224) loss_contra: 0.0003 (0.0145) time: 2.5249 data: 0.0026 max mem: 31671 Epoch: [7] [3960/5278] eta: 0:55:43 lr: 4.1189547265093744e-05 loss: 0.1308 (0.1279) loss_seg: 0.1362 (0.1382) loss_lansim: 0.1253 (0.1224) loss_contra: 0.0004 (0.0144) time: 2.5196 data: 0.0026 max mem: 31671 Epoch: [7] [3970/5278] eta: 0:55:18 lr: 4.118736936437902e-05 loss: 0.1308 (0.1280) loss_seg: 0.1362 (0.1382) loss_lansim: 0.1264 (0.1225) loss_contra: 0.0004 (0.0144) time: 2.5244 data: 0.0026 max mem: 31671 Epoch: [7] [3980/5278] eta: 0:54:53 lr: 4.1185191450868355e-05 loss: 0.1203 (0.1279) loss_seg: 0.1321 (0.1382) loss_lansim: 0.1246 (0.1225) loss_contra: 0.0003 (0.0144) time: 2.5224 data: 0.0026 max mem: 31671 Epoch: [7] [3990/5278] eta: 0:54:27 lr: 4.1183013524560915e-05 loss: 0.1228 (0.1278) loss_seg: 0.1321 (0.1381) loss_lansim: 0.1250 (0.1225) loss_contra: 0.0004 (0.0144) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [7] [4000/5278] eta: 0:54:02 lr: 4.118083558545589e-05 loss: 0.1197 (0.1278) loss_seg: 0.1308 (0.1381) loss_lansim: 0.1250 (0.1225) loss_contra: 0.0004 (0.0144) time: 2.5306 data: 0.0026 max mem: 31671 Epoch: [7] [4010/5278] eta: 0:53:37 lr: 4.1178657633552443e-05 loss: 0.1178 (0.1278) loss_seg: 0.1249 (0.1380) loss_lansim: 0.1236 (0.1225) loss_contra: 0.0004 (0.0144) time: 2.5263 data: 0.0026 max mem: 31671 Epoch: [7] [4020/5278] eta: 0:53:11 lr: 4.1176479668849745e-05 loss: 0.1178 (0.1279) loss_seg: 0.1238 (0.1381) loss_lansim: 0.1235 (0.1225) loss_contra: 0.0005 (0.0144) time: 2.5272 data: 0.0026 max mem: 31671 Epoch: [7] [4030/5278] eta: 0:52:46 lr: 4.1174301691346976e-05 loss: 0.1152 (0.1278) loss_seg: 0.1217 (0.1381) loss_lansim: 0.1241 (0.1225) loss_contra: 0.0005 (0.0145) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [7] [4040/5278] eta: 0:52:20 lr: 4.117212370104331e-05 loss: 0.1143 (0.1278) loss_seg: 0.1217 (0.1380) loss_lansim: 0.1235 (0.1225) loss_contra: 0.0005 (0.0144) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [7] [4050/5278] eta: 0:51:55 lr: 4.1169945697937906e-05 loss: 0.1119 (0.1278) loss_seg: 0.1150 (0.1380) loss_lansim: 0.1228 (0.1225) loss_contra: 0.0005 (0.0144) time: 2.5464 data: 0.0025 max mem: 31671 Epoch: [7] [4060/5278] eta: 0:51:30 lr: 4.116776768202995e-05 loss: 0.1119 (0.1278) loss_seg: 0.1154 (0.1381) loss_lansim: 0.1228 (0.1225) loss_contra: 0.0005 (0.0144) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [7] [4070/5278] eta: 0:51:05 lr: 4.11655896533186e-05 loss: 0.1041 (0.1278) loss_seg: 0.1120 (0.1380) loss_lansim: 0.1210 (0.1225) loss_contra: 0.0005 (0.0144) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [7] [4080/5278] eta: 0:50:39 lr: 4.1163411611803044e-05 loss: 0.1111 (0.1278) loss_seg: 0.1150 (0.1380) loss_lansim: 0.1207 (0.1225) loss_contra: 0.0007 (0.0144) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [7] [4090/5278] eta: 0:50:14 lr: 4.1161233557482444e-05 loss: 0.1119 (0.1278) loss_seg: 0.1159 (0.1381) loss_lansim: 0.1235 (0.1226) loss_contra: 0.0005 (0.0144) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [7] [4100/5278] eta: 0:49:49 lr: 4.115905549035597e-05 loss: 0.1111 (0.1277) loss_seg: 0.1154 (0.1380) loss_lansim: 0.1216 (0.1226) loss_contra: 0.0004 (0.0143) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [7] [4110/5278] eta: 0:49:23 lr: 4.115687741042281e-05 loss: 0.1052 (0.1277) loss_seg: 0.1154 (0.1379) loss_lansim: 0.1234 (0.1226) loss_contra: 0.0005 (0.0143) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [7] [4120/5278] eta: 0:48:58 lr: 4.115469931768212e-05 loss: 0.1024 (0.1277) loss_seg: 0.1129 (0.1379) loss_lansim: 0.1237 (0.1226) loss_contra: 0.0005 (0.0143) time: 2.5581 data: 0.0026 max mem: 31671 Epoch: [7] [4130/5278] eta: 0:48:33 lr: 4.1152521212133066e-05 loss: 0.1020 (0.1277) loss_seg: 0.1111 (0.1379) loss_lansim: 0.1231 (0.1226) loss_contra: 0.0004 (0.0143) time: 2.5603 data: 0.0026 max mem: 31671 Epoch: [7] [4140/5278] eta: 0:48:07 lr: 4.115034309377484e-05 loss: 0.1020 (0.1278) loss_seg: 0.1119 (0.1380) loss_lansim: 0.1234 (0.1226) loss_contra: 0.0003 (0.0143) time: 2.5539 data: 0.0026 max mem: 31671 Epoch: [7] [4150/5278] eta: 0:47:42 lr: 4.1148164962606603e-05 loss: 0.1020 (0.1277) loss_seg: 0.1119 (0.1379) loss_lansim: 0.1207 (0.1225) loss_contra: 0.0003 (0.0143) time: 2.5444 data: 0.0026 max mem: 31671 Epoch: [7] [4160/5278] eta: 0:47:16 lr: 4.114598681862751e-05 loss: 0.1052 (0.1277) loss_seg: 0.1129 (0.1379) loss_lansim: 0.1203 (0.1225) loss_contra: 0.0003 (0.0143) time: 2.5443 data: 0.0026 max mem: 31671 Epoch: [7] [4170/5278] eta: 0:46:51 lr: 4.1143808661836755e-05 loss: 0.1108 (0.1277) loss_seg: 0.1183 (0.1379) loss_lansim: 0.1203 (0.1225) loss_contra: 0.0003 (0.0142) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [7] [4180/5278] eta: 0:46:25 lr: 4.114163049223351e-05 loss: 0.1093 (0.1277) loss_seg: 0.1164 (0.1379) loss_lansim: 0.1205 (0.1225) loss_contra: 0.0002 (0.0142) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [7] [4190/5278] eta: 0:46:00 lr: 4.113945230981693e-05 loss: 0.1097 (0.1277) loss_seg: 0.1172 (0.1379) loss_lansim: 0.1177 (0.1225) loss_contra: 0.0002 (0.0142) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [7] [4200/5278] eta: 0:45:35 lr: 4.1137274114586196e-05 loss: 0.1108 (0.1277) loss_seg: 0.1193 (0.1378) loss_lansim: 0.1172 (0.1225) loss_contra: 0.0002 (0.0141) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [7] [4210/5278] eta: 0:45:09 lr: 4.1135095906540466e-05 loss: 0.1138 (0.1277) loss_seg: 0.1210 (0.1379) loss_lansim: 0.1171 (0.1225) loss_contra: 0.0002 (0.0141) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [7] [4220/5278] eta: 0:44:44 lr: 4.113291768567893e-05 loss: 0.1108 (0.1277) loss_seg: 0.1193 (0.1379) loss_lansim: 0.1153 (0.1224) loss_contra: 0.0002 (0.0141) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [7] [4230/5278] eta: 0:44:19 lr: 4.1130739452000744e-05 loss: 0.1138 (0.1277) loss_seg: 0.1215 (0.1379) loss_lansim: 0.1153 (0.1224) loss_contra: 0.0002 (0.0141) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [7] [4240/5278] eta: 0:43:53 lr: 4.112856120550509e-05 loss: 0.1139 (0.1277) loss_seg: 0.1215 (0.1379) loss_lansim: 0.1130 (0.1224) loss_contra: 0.0003 (0.0141) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [7] [4250/5278] eta: 0:43:28 lr: 4.112638294619113e-05 loss: 0.1194 (0.1277) loss_seg: 0.1227 (0.1379) loss_lansim: 0.1171 (0.1224) loss_contra: 0.0002 (0.0141) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [7] [4260/5278] eta: 0:43:03 lr: 4.112420467405803e-05 loss: 0.1132 (0.1277) loss_seg: 0.1210 (0.1379) loss_lansim: 0.1130 (0.1224) loss_contra: 0.0002 (0.0141) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [7] [4270/5278] eta: 0:42:37 lr: 4.1122026389104976e-05 loss: 0.1132 (0.1277) loss_seg: 0.1189 (0.1379) loss_lansim: 0.1145 (0.1224) loss_contra: 0.0002 (0.0141) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [7] [4280/5278] eta: 0:42:12 lr: 4.111984809133112e-05 loss: 0.1106 (0.1277) loss_seg: 0.1158 (0.1378) loss_lansim: 0.1145 (0.1224) loss_contra: 0.0003 (0.0141) time: 2.5380 data: 0.0026 max mem: 31671 Epoch: [7] [4290/5278] eta: 0:41:46 lr: 4.111766978073564e-05 loss: 0.1069 (0.1277) loss_seg: 0.1134 (0.1378) loss_lansim: 0.1158 (0.1224) loss_contra: 0.0003 (0.0141) time: 2.5326 data: 0.0026 max mem: 31671 Epoch: [7] [4300/5278] eta: 0:41:21 lr: 4.111549145731771e-05 loss: 0.1046 (0.1276) loss_seg: 0.1134 (0.1377) loss_lansim: 0.1160 (0.1224) loss_contra: 0.0003 (0.0140) time: 2.5417 data: 0.0026 max mem: 31671 Epoch: [7] [4310/5278] eta: 0:40:56 lr: 4.111331312107648e-05 loss: 0.1074 (0.1276) loss_seg: 0.1158 (0.1377) loss_lansim: 0.1177 (0.1224) loss_contra: 0.0002 (0.0140) time: 2.5346 data: 0.0026 max mem: 31671 Epoch: [7] [4320/5278] eta: 0:40:30 lr: 4.1111134772011164e-05 loss: 0.1107 (0.1276) loss_seg: 0.1189 (0.1377) loss_lansim: 0.1187 (0.1224) loss_contra: 0.0002 (0.0140) time: 2.5262 data: 0.0026 max mem: 31671 Epoch: [7] [4330/5278] eta: 0:40:05 lr: 4.110895641012088e-05 loss: 0.1074 (0.1275) loss_seg: 0.1162 (0.1377) loss_lansim: 0.1187 (0.1224) loss_contra: 0.0002 (0.0140) time: 2.5284 data: 0.0026 max mem: 31671 Epoch: [7] [4340/5278] eta: 0:39:39 lr: 4.110677803540482e-05 loss: 0.1069 (0.1276) loss_seg: 0.1122 (0.1377) loss_lansim: 0.1186 (0.1224) loss_contra: 0.0002 (0.0139) time: 2.5285 data: 0.0026 max mem: 31671 Epoch: [7] [4350/5278] eta: 0:39:14 lr: 4.1104599647862166e-05 loss: 0.1069 (0.1276) loss_seg: 0.1138 (0.1377) loss_lansim: 0.1166 (0.1224) loss_contra: 0.0002 (0.0139) time: 2.5283 data: 0.0026 max mem: 31671 Epoch: [7] [4360/5278] eta: 0:38:49 lr: 4.110242124749207e-05 loss: 0.1074 (0.1276) loss_seg: 0.1169 (0.1377) loss_lansim: 0.1200 (0.1223) loss_contra: 0.0002 (0.0139) time: 2.5306 data: 0.0026 max mem: 31671 Epoch: [7] [4370/5278] eta: 0:38:24 lr: 4.11002428342937e-05 loss: 0.1046 (0.1275) loss_seg: 0.1122 (0.1376) loss_lansim: 0.1177 (0.1223) loss_contra: 0.0002 (0.0139) time: 2.5452 data: 0.0026 max mem: 31671 Epoch: [7] [4380/5278] eta: 0:37:58 lr: 4.109806440826623e-05 loss: 0.1071 (0.1275) loss_seg: 0.1169 (0.1377) loss_lansim: 0.1177 (0.1223) loss_contra: 0.0002 (0.0139) time: 2.5383 data: 0.0026 max mem: 31671 Epoch: [7] [4390/5278] eta: 0:37:33 lr: 4.109588596940883e-05 loss: 0.1071 (0.1275) loss_seg: 0.1169 (0.1377) loss_lansim: 0.1170 (0.1223) loss_contra: 0.0002 (0.0141) time: 2.5429 data: 0.0026 max mem: 31671 Epoch: [7] [4400/5278] eta: 0:37:07 lr: 4.1093707517720674e-05 loss: 0.1071 (0.1275) loss_seg: 0.1169 (0.1376) loss_lansim: 0.1169 (0.1223) loss_contra: 0.0002 (0.0141) time: 2.5407 data: 0.0026 max mem: 31671 Epoch: [7] [4410/5278] eta: 0:36:42 lr: 4.1091529053200924e-05 loss: 0.1056 (0.1274) loss_seg: 0.1138 (0.1375) loss_lansim: 0.1166 (0.1223) loss_contra: 0.0002 (0.0143) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [7] [4420/5278] eta: 0:36:17 lr: 4.1089350575848746e-05 loss: 0.1064 (0.1274) loss_seg: 0.1178 (0.1375) loss_lansim: 0.1169 (0.1223) loss_contra: 0.0003 (0.0150) time: 2.5619 data: 0.0025 max mem: 31671 Epoch: [7] [4430/5278] eta: 0:35:51 lr: 4.1087172085663314e-05 loss: 0.1126 (0.1274) loss_seg: 0.1230 (0.1375) loss_lansim: 0.1200 (0.1223) loss_contra: 0.0005 (0.0152) time: 2.5598 data: 0.0025 max mem: 31671 Epoch: [7] [4440/5278] eta: 0:35:26 lr: 4.108499358264378e-05 loss: 0.1126 (0.1274) loss_seg: 0.1230 (0.1376) loss_lansim: 0.1221 (0.1224) loss_contra: 0.0007 (0.0154) time: 2.5585 data: 0.0025 max mem: 31671 Epoch: [7] [4450/5278] eta: 0:35:01 lr: 4.108281506678934e-05 loss: 0.1136 (0.1275) loss_seg: 0.1243 (0.1376) loss_lansim: 0.1226 (0.1224) loss_contra: 0.0008 (0.0155) time: 2.5611 data: 0.0026 max mem: 31671 Epoch: [7] [4460/5278] eta: 0:34:35 lr: 4.1080636538099146e-05 loss: 0.1136 (0.1275) loss_seg: 0.1243 (0.1376) loss_lansim: 0.1233 (0.1224) loss_contra: 0.0009 (0.0155) time: 2.5543 data: 0.0025 max mem: 31671 Epoch: [7] [4470/5278] eta: 0:34:10 lr: 4.107845799657237e-05 loss: 0.1176 (0.1275) loss_seg: 0.1285 (0.1376) loss_lansim: 0.1238 (0.1224) loss_contra: 0.0010 (0.0156) time: 2.5586 data: 0.0025 max mem: 31671 Epoch: [7] [4480/5278] eta: 0:33:45 lr: 4.107627944220818e-05 loss: 0.1176 (0.1275) loss_seg: 0.1300 (0.1376) loss_lansim: 0.1239 (0.1224) loss_contra: 0.0018 (0.0156) time: 2.5553 data: 0.0025 max mem: 31671 Epoch: [7] [4490/5278] eta: 0:33:19 lr: 4.1074100875005736e-05 loss: 0.1176 (0.1276) loss_seg: 0.1300 (0.1377) loss_lansim: 0.1244 (0.1224) loss_contra: 0.0018 (0.0156) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [7] [4500/5278] eta: 0:32:54 lr: 4.107192229496422e-05 loss: 0.1228 (0.1276) loss_seg: 0.1313 (0.1377) loss_lansim: 0.1281 (0.1225) loss_contra: 0.0021 (0.0155) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [7] [4510/5278] eta: 0:32:28 lr: 4.106974370208278e-05 loss: 0.1185 (0.1275) loss_seg: 0.1303 (0.1376) loss_lansim: 0.1249 (0.1225) loss_contra: 0.0018 (0.0156) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [7] [4520/5278] eta: 0:32:03 lr: 4.1067565096360607e-05 loss: 0.1194 (0.1275) loss_seg: 0.1326 (0.1376) loss_lansim: 0.1254 (0.1225) loss_contra: 0.0014 (0.0156) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [7] [4530/5278] eta: 0:31:38 lr: 4.1065386477796855e-05 loss: 0.1179 (0.1275) loss_seg: 0.1310 (0.1377) loss_lansim: 0.1245 (0.1225) loss_contra: 0.0014 (0.0156) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [7] [4540/5278] eta: 0:31:12 lr: 4.106320784639068e-05 loss: 0.1185 (0.1276) loss_seg: 0.1313 (0.1377) loss_lansim: 0.1239 (0.1225) loss_contra: 0.0011 (0.0156) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [7] [4550/5278] eta: 0:30:47 lr: 4.1061029202141273e-05 loss: 0.1185 (0.1276) loss_seg: 0.1313 (0.1377) loss_lansim: 0.1233 (0.1225) loss_contra: 0.0006 (0.0155) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [7] [4560/5278] eta: 0:30:21 lr: 4.1058850545047796e-05 loss: 0.1228 (0.1277) loss_seg: 0.1347 (0.1378) loss_lansim: 0.1236 (0.1225) loss_contra: 0.0005 (0.0155) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [7] [4570/5278] eta: 0:29:56 lr: 4.1056671875109396e-05 loss: 0.1227 (0.1277) loss_seg: 0.1347 (0.1378) loss_lansim: 0.1241 (0.1225) loss_contra: 0.0005 (0.0155) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [7] [4580/5278] eta: 0:29:31 lr: 4.105449319232526e-05 loss: 0.1175 (0.1276) loss_seg: 0.1261 (0.1378) loss_lansim: 0.1244 (0.1225) loss_contra: 0.0005 (0.0155) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [7] [4590/5278] eta: 0:29:05 lr: 4.105231449669455e-05 loss: 0.1223 (0.1277) loss_seg: 0.1326 (0.1378) loss_lansim: 0.1244 (0.1225) loss_contra: 0.0005 (0.0154) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [7] [4600/5278] eta: 0:28:40 lr: 4.1050135788216434e-05 loss: 0.1175 (0.1276) loss_seg: 0.1261 (0.1378) loss_lansim: 0.1241 (0.1225) loss_contra: 0.0003 (0.0154) time: 2.5189 data: 0.0025 max mem: 31671 Epoch: [7] [4610/5278] eta: 0:28:14 lr: 4.1047957066890076e-05 loss: 0.1175 (0.1276) loss_seg: 0.1266 (0.1377) loss_lansim: 0.1241 (0.1226) loss_contra: 0.0003 (0.0154) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [7] [4620/5278] eta: 0:27:49 lr: 4.1045778332714636e-05 loss: 0.1146 (0.1276) loss_seg: 0.1250 (0.1377) loss_lansim: 0.1244 (0.1226) loss_contra: 0.0003 (0.0154) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [7] [4630/5278] eta: 0:27:24 lr: 4.104359958568929e-05 loss: 0.1175 (0.1276) loss_seg: 0.1264 (0.1377) loss_lansim: 0.1252 (0.1226) loss_contra: 0.0003 (0.0154) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [7] [4640/5278] eta: 0:26:58 lr: 4.104142082581321e-05 loss: 0.1175 (0.1276) loss_seg: 0.1264 (0.1378) loss_lansim: 0.1271 (0.1226) loss_contra: 0.0003 (0.0153) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [7] [4650/5278] eta: 0:26:33 lr: 4.103924205308554e-05 loss: 0.1142 (0.1276) loss_seg: 0.1222 (0.1378) loss_lansim: 0.1270 (0.1226) loss_contra: 0.0003 (0.0153) time: 2.5072 data: 0.0024 max mem: 31671 Epoch: [7] [4660/5278] eta: 0:26:07 lr: 4.1037063267505466e-05 loss: 0.1115 (0.1276) loss_seg: 0.1220 (0.1378) loss_lansim: 0.1270 (0.1226) loss_contra: 0.0003 (0.0153) time: 2.5136 data: 0.0024 max mem: 31671 Epoch: [7] [4670/5278] eta: 0:25:42 lr: 4.103488446907215e-05 loss: 0.1063 (0.1276) loss_seg: 0.1179 (0.1378) loss_lansim: 0.1252 (0.1226) loss_contra: 0.0003 (0.0153) time: 2.5160 data: 0.0024 max mem: 31671 Epoch: [7] [4680/5278] eta: 0:25:17 lr: 4.103270565778475e-05 loss: 0.1142 (0.1277) loss_seg: 0.1227 (0.1379) loss_lansim: 0.1260 (0.1226) loss_contra: 0.0003 (0.0153) time: 2.5181 data: 0.0024 max mem: 31671 Epoch: [7] [4690/5278] eta: 0:24:51 lr: 4.103052683364244e-05 loss: 0.1115 (0.1278) loss_seg: 0.1220 (0.1379) loss_lansim: 0.1236 (0.1226) loss_contra: 0.0003 (0.0153) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [7] [4700/5278] eta: 0:24:26 lr: 4.102834799664439e-05 loss: 0.1174 (0.1278) loss_seg: 0.1240 (0.1380) loss_lansim: 0.1229 (0.1226) loss_contra: 0.0004 (0.0153) time: 2.5162 data: 0.0024 max mem: 31671 Epoch: [7] [4710/5278] eta: 0:24:00 lr: 4.1026169146789745e-05 loss: 0.1235 (0.1278) loss_seg: 0.1286 (0.1380) loss_lansim: 0.1223 (0.1226) loss_contra: 0.0004 (0.0152) time: 2.5153 data: 0.0025 max mem: 31671 Epoch: [7] [4720/5278] eta: 0:23:35 lr: 4.102399028407769e-05 loss: 0.1252 (0.1278) loss_seg: 0.1286 (0.1380) loss_lansim: 0.1207 (0.1225) loss_contra: 0.0004 (0.0152) time: 2.5248 data: 0.0024 max mem: 31671 Epoch: [7] [4730/5278] eta: 0:23:10 lr: 4.102181140850738e-05 loss: 0.1252 (0.1279) loss_seg: 0.1286 (0.1381) loss_lansim: 0.1201 (0.1225) loss_contra: 0.0005 (0.0152) time: 2.5163 data: 0.0024 max mem: 31671 Epoch: [7] [4740/5278] eta: 0:22:44 lr: 4.1019632520078e-05 loss: 0.1252 (0.1279) loss_seg: 0.1286 (0.1381) loss_lansim: 0.1170 (0.1225) loss_contra: 0.0005 (0.0152) time: 2.5185 data: 0.0024 max mem: 31671 Epoch: [7] [4750/5278] eta: 0:22:19 lr: 4.101745361878869e-05 loss: 0.1326 (0.1281) loss_seg: 0.1433 (0.1383) loss_lansim: 0.1154 (0.1225) loss_contra: 0.0005 (0.0152) time: 2.5168 data: 0.0025 max mem: 31671 Epoch: [7] [4760/5278] eta: 0:21:53 lr: 4.101527470463862e-05 loss: 0.1441 (0.1281) loss_seg: 0.1474 (0.1383) loss_lansim: 0.1165 (0.1225) loss_contra: 0.0005 (0.0151) time: 2.5035 data: 0.0025 max mem: 31671 Epoch: [7] [4770/5278] eta: 0:21:28 lr: 4.101309577762697e-05 loss: 0.1408 (0.1281) loss_seg: 0.1474 (0.1383) loss_lansim: 0.1170 (0.1225) loss_contra: 0.0004 (0.0151) time: 2.4960 data: 0.0025 max mem: 31671 Epoch: [7] [4780/5278] eta: 0:21:03 lr: 4.101091683775289e-05 loss: 0.1408 (0.1282) loss_seg: 0.1497 (0.1384) loss_lansim: 0.1170 (0.1225) loss_contra: 0.0004 (0.0151) time: 2.5043 data: 0.0025 max mem: 31671 Epoch: [7] [4790/5278] eta: 0:20:37 lr: 4.100873788501554e-05 loss: 0.1394 (0.1282) loss_seg: 0.1464 (0.1384) loss_lansim: 0.1179 (0.1225) loss_contra: 0.0003 (0.0151) time: 2.5070 data: 0.0025 max mem: 31671 Epoch: [7] [4800/5278] eta: 0:20:12 lr: 4.100655891941411e-05 loss: 0.1326 (0.1282) loss_seg: 0.1431 (0.1384) loss_lansim: 0.1184 (0.1225) loss_contra: 0.0003 (0.0151) time: 2.4959 data: 0.0025 max mem: 31671 Epoch: [7] [4810/5278] eta: 0:19:46 lr: 4.100437994094774e-05 loss: 0.1326 (0.1282) loss_seg: 0.1382 (0.1384) loss_lansim: 0.1194 (0.1225) loss_contra: 0.0002 (0.0151) time: 2.4824 data: 0.0025 max mem: 31671 Epoch: [7] [4820/5278] eta: 0:19:21 lr: 4.10022009496156e-05 loss: 0.1370 (0.1283) loss_seg: 0.1431 (0.1384) loss_lansim: 0.1216 (0.1226) loss_contra: 0.0002 (0.0150) time: 2.4736 data: 0.0025 max mem: 31671 Epoch: [7] [4830/5278] eta: 0:18:55 lr: 4.100002194541686e-05 loss: 0.1285 (0.1282) loss_seg: 0.1376 (0.1384) loss_lansim: 0.1216 (0.1226) loss_contra: 0.0002 (0.0151) time: 2.4792 data: 0.0024 max mem: 31671 Epoch: [7] [4840/5278] eta: 0:18:30 lr: 4.099784292835068e-05 loss: 0.1285 (0.1283) loss_seg: 0.1376 (0.1385) loss_lansim: 0.1239 (0.1226) loss_contra: 0.0002 (0.0151) time: 2.4794 data: 0.0025 max mem: 31671 Epoch: [7] [4850/5278] eta: 0:18:05 lr: 4.099566389841624e-05 loss: 0.1265 (0.1283) loss_seg: 0.1347 (0.1385) loss_lansim: 0.1249 (0.1226) loss_contra: 0.0002 (0.0150) time: 2.4928 data: 0.0025 max mem: 31671 Epoch: [7] [4860/5278] eta: 0:17:40 lr: 4.0993484855612675e-05 loss: 0.1215 (0.1283) loss_seg: 0.1343 (0.1385) loss_lansim: 0.1236 (0.1226) loss_contra: 0.0002 (0.0150) time: 2.5146 data: 0.0025 max mem: 31671 Epoch: [7] [4870/5278] eta: 0:17:14 lr: 4.0991305799939164e-05 loss: 0.1209 (0.1283) loss_seg: 0.1319 (0.1385) loss_lansim: 0.1222 (0.1225) loss_contra: 0.0002 (0.0150) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [7] [4880/5278] eta: 0:16:49 lr: 4.098912673139487e-05 loss: 0.1209 (0.1283) loss_seg: 0.1319 (0.1385) loss_lansim: 0.1236 (0.1226) loss_contra: 0.0002 (0.0150) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [7] [4890/5278] eta: 0:16:24 lr: 4.098694764997896e-05 loss: 0.1188 (0.1283) loss_seg: 0.1263 (0.1385) loss_lansim: 0.1202 (0.1225) loss_contra: 0.0002 (0.0149) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [7] [4900/5278] eta: 0:15:58 lr: 4.09847685556906e-05 loss: 0.1221 (0.1283) loss_seg: 0.1319 (0.1385) loss_lansim: 0.1195 (0.1225) loss_contra: 0.0002 (0.0149) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [7] [4910/5278] eta: 0:15:33 lr: 4.098258944852894e-05 loss: 0.1188 (0.1283) loss_seg: 0.1289 (0.1385) loss_lansim: 0.1195 (0.1225) loss_contra: 0.0002 (0.0149) time: 2.5570 data: 0.0025 max mem: 31671 Epoch: [7] [4920/5278] eta: 0:15:07 lr: 4.098041032849315e-05 loss: 0.1140 (0.1282) loss_seg: 0.1263 (0.1384) loss_lansim: 0.1181 (0.1225) loss_contra: 0.0002 (0.0150) time: 2.5607 data: 0.0025 max mem: 31671 Epoch: [7] [4930/5278] eta: 0:14:42 lr: 4.0978231195582406e-05 loss: 0.1140 (0.1282) loss_seg: 0.1263 (0.1384) loss_lansim: 0.1177 (0.1225) loss_contra: 0.0002 (0.0150) time: 2.5641 data: 0.0026 max mem: 31671 Epoch: [7] [4940/5278] eta: 0:14:17 lr: 4.097605204979585e-05 loss: 0.1172 (0.1283) loss_seg: 0.1289 (0.1385) loss_lansim: 0.1174 (0.1225) loss_contra: 0.0002 (0.0150) time: 2.5660 data: 0.0025 max mem: 31671 Epoch: [7] [4950/5278] eta: 0:13:51 lr: 4.097387289113266e-05 loss: 0.1138 (0.1283) loss_seg: 0.1247 (0.1385) loss_lansim: 0.1156 (0.1225) loss_contra: 0.0002 (0.0150) time: 2.5758 data: 0.0026 max mem: 31671 Epoch: [7] [4960/5278] eta: 0:13:26 lr: 4.097169371959199e-05 loss: 0.1138 (0.1283) loss_seg: 0.1248 (0.1385) loss_lansim: 0.1151 (0.1225) loss_contra: 0.0003 (0.0150) time: 2.5703 data: 0.0025 max mem: 31671 Epoch: [7] [4970/5278] eta: 0:13:01 lr: 4.096951453517301e-05 loss: 0.1124 (0.1282) loss_seg: 0.1239 (0.1385) loss_lansim: 0.1156 (0.1225) loss_contra: 0.0003 (0.0150) time: 2.5622 data: 0.0026 max mem: 31671 Epoch: [7] [4980/5278] eta: 0:12:35 lr: 4.096733533787488e-05 loss: 0.1081 (0.1281) loss_seg: 0.1199 (0.1384) loss_lansim: 0.1153 (0.1225) loss_contra: 0.0004 (0.0150) time: 2.5583 data: 0.0026 max mem: 31671 Epoch: [7] [4990/5278] eta: 0:12:10 lr: 4.096515612769676e-05 loss: 0.1081 (0.1281) loss_seg: 0.1199 (0.1383) loss_lansim: 0.1181 (0.1225) loss_contra: 0.0003 (0.0150) time: 2.5587 data: 0.0025 max mem: 31671 Epoch: [7] [5000/5278] eta: 0:11:45 lr: 4.0962976904637817e-05 loss: 0.1072 (0.1281) loss_seg: 0.1187 (0.1384) loss_lansim: 0.1195 (0.1225) loss_contra: 0.0003 (0.0149) time: 2.5643 data: 0.0026 max mem: 31671 Epoch: [7] [5010/5278] eta: 0:11:19 lr: 4.096079766869721e-05 loss: 0.1081 (0.1281) loss_seg: 0.1199 (0.1384) loss_lansim: 0.1198 (0.1225) loss_contra: 0.0003 (0.0149) time: 2.5608 data: 0.0026 max mem: 31671 Epoch: [7] [5020/5278] eta: 0:10:54 lr: 4.0958618419874104e-05 loss: 0.1115 (0.1281) loss_seg: 0.1237 (0.1384) loss_lansim: 0.1208 (0.1225) loss_contra: 0.0003 (0.0149) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [7] [5030/5278] eta: 0:10:29 lr: 4.095643915816766e-05 loss: 0.1102 (0.1281) loss_seg: 0.1199 (0.1383) loss_lansim: 0.1227 (0.1226) loss_contra: 0.0004 (0.0149) time: 2.5568 data: 0.0025 max mem: 31671 Epoch: [7] [5040/5278] eta: 0:10:03 lr: 4.095425988357705e-05 loss: 0.1037 (0.1281) loss_seg: 0.1149 (0.1383) loss_lansim: 0.1237 (0.1226) loss_contra: 0.0004 (0.0148) time: 2.5612 data: 0.0025 max mem: 31671 Epoch: [7] [5050/5278] eta: 0:09:38 lr: 4.095208059610141e-05 loss: 0.1038 (0.1281) loss_seg: 0.1151 (0.1383) loss_lansim: 0.1274 (0.1226) loss_contra: 0.0004 (0.0148) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [7] [5060/5278] eta: 0:09:13 lr: 4.094990129573993e-05 loss: 0.0992 (0.1280) loss_seg: 0.1099 (0.1382) loss_lansim: 0.1274 (0.1226) loss_contra: 0.0004 (0.0148) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [7] [5070/5278] eta: 0:08:47 lr: 4.094772198249175e-05 loss: 0.1005 (0.1280) loss_seg: 0.1099 (0.1382) loss_lansim: 0.1284 (0.1226) loss_contra: 0.0003 (0.0148) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [7] [5080/5278] eta: 0:08:22 lr: 4.0945542656356044e-05 loss: 0.1045 (0.1280) loss_seg: 0.1155 (0.1382) loss_lansim: 0.1286 (0.1227) loss_contra: 0.0003 (0.0148) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [7] [5090/5278] eta: 0:07:56 lr: 4.094336331733197e-05 loss: 0.1102 (0.1280) loss_seg: 0.1217 (0.1382) loss_lansim: 0.1286 (0.1227) loss_contra: 0.0004 (0.0148) time: 2.5379 data: 0.0026 max mem: 31671 Epoch: [7] [5100/5278] eta: 0:07:31 lr: 4.09411839654187e-05 loss: 0.1045 (0.1280) loss_seg: 0.1155 (0.1382) loss_lansim: 0.1293 (0.1227) loss_contra: 0.0003 (0.0148) time: 2.5346 data: 0.0026 max mem: 31671 Epoch: [7] [5110/5278] eta: 0:07:06 lr: 4.093900460061538e-05 loss: 0.1102 (0.1280) loss_seg: 0.1217 (0.1382) loss_lansim: 0.1300 (0.1227) loss_contra: 0.0003 (0.0148) time: 2.5338 data: 0.0026 max mem: 31671 Epoch: [7] [5120/5278] eta: 0:06:40 lr: 4.0936825222921175e-05 loss: 0.1089 (0.1280) loss_seg: 0.1205 (0.1382) loss_lansim: 0.1308 (0.1227) loss_contra: 0.0003 (0.0148) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [7] [5130/5278] eta: 0:06:15 lr: 4.0934645832335254e-05 loss: 0.1183 (0.1280) loss_seg: 0.1285 (0.1382) loss_lansim: 0.1301 (0.1227) loss_contra: 0.0003 (0.0148) time: 2.5379 data: 0.0026 max mem: 31671 Epoch: [7] [5140/5278] eta: 0:05:50 lr: 4.0932466428856774e-05 loss: 0.1214 (0.1280) loss_seg: 0.1340 (0.1383) loss_lansim: 0.1294 (0.1227) loss_contra: 0.0003 (0.0148) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [7] [5150/5278] eta: 0:05:24 lr: 4.0930287012484894e-05 loss: 0.1215 (0.1281) loss_seg: 0.1340 (0.1383) loss_lansim: 0.1278 (0.1227) loss_contra: 0.0002 (0.0147) time: 2.5230 data: 0.0026 max mem: 31671 Epoch: [7] [5160/5278] eta: 0:04:59 lr: 4.0928107583218774e-05 loss: 0.1233 (0.1280) loss_seg: 0.1348 (0.1383) loss_lansim: 0.1294 (0.1228) loss_contra: 0.0001 (0.0147) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [7] [5170/5278] eta: 0:04:33 lr: 4.092592814105757e-05 loss: 0.1214 (0.1280) loss_seg: 0.1340 (0.1382) loss_lansim: 0.1272 (0.1228) loss_contra: 0.0002 (0.0147) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [7] [5180/5278] eta: 0:04:08 lr: 4.092374868600046e-05 loss: 0.1211 (0.1280) loss_seg: 0.1310 (0.1382) loss_lansim: 0.1272 (0.1228) loss_contra: 0.0001 (0.0147) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [7] [5190/5278] eta: 0:03:43 lr: 4.092156921804659e-05 loss: 0.1211 (0.1280) loss_seg: 0.1331 (0.1382) loss_lansim: 0.1272 (0.1228) loss_contra: 0.0001 (0.0146) time: 2.5148 data: 0.0025 max mem: 31671 Epoch: [7] [5200/5278] eta: 0:03:17 lr: 4.0919389737195125e-05 loss: 0.1213 (0.1281) loss_seg: 0.1331 (0.1383) loss_lansim: 0.1265 (0.1228) loss_contra: 0.0002 (0.0146) time: 2.5082 data: 0.0025 max mem: 31671 Epoch: [7] [5210/5278] eta: 0:02:52 lr: 4.091721024344522e-05 loss: 0.1212 (0.1281) loss_seg: 0.1310 (0.1383) loss_lansim: 0.1250 (0.1228) loss_contra: 0.0002 (0.0146) time: 2.5076 data: 0.0025 max mem: 31671 Epoch: [7] [5220/5278] eta: 0:02:27 lr: 4.091503073679605e-05 loss: 0.1213 (0.1281) loss_seg: 0.1314 (0.1383) loss_lansim: 0.1222 (0.1228) loss_contra: 0.0002 (0.0146) time: 2.5015 data: 0.0025 max mem: 31671 Epoch: [7] [5230/5278] eta: 0:02:01 lr: 4.091285121724675e-05 loss: 0.1162 (0.1280) loss_seg: 0.1251 (0.1382) loss_lansim: 0.1223 (0.1228) loss_contra: 0.0003 (0.0146) time: 2.5101 data: 0.0025 max mem: 31671 Epoch: [7] [5240/5278] eta: 0:01:36 lr: 4.091067168479651e-05 loss: 0.1204 (0.1280) loss_seg: 0.1258 (0.1382) loss_lansim: 0.1223 (0.1228) loss_contra: 0.0002 (0.0146) time: 2.5092 data: 0.0025 max mem: 31671 Epoch: [7] [5250/5278] eta: 0:01:11 lr: 4.0908492139444474e-05 loss: 0.1157 (0.1280) loss_seg: 0.1258 (0.1382) loss_lansim: 0.1226 (0.1228) loss_contra: 0.0002 (0.0145) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [7] [5260/5278] eta: 0:00:45 lr: 4.090631258118979e-05 loss: 0.1204 (0.1281) loss_seg: 0.1282 (0.1383) loss_lansim: 0.1202 (0.1228) loss_contra: 0.0002 (0.0145) time: 2.5081 data: 0.0025 max mem: 31671 Epoch: [7] [5270/5278] eta: 0:00:20 lr: 4.0904133010031646e-05 loss: 0.1162 (0.1280) loss_seg: 0.1258 (0.1382) loss_lansim: 0.1223 (0.1228) loss_contra: 0.0003 (0.0145) time: 2.5155 data: 0.0025 max mem: 31671 Epoch: [7] Total time: 3:43:07 Test: [ 0/2573] eta: 1:35:38 time: 2.2305 data: 1.9019 max mem: 31671 Test: [ 100/2573] eta: 0:06:43 time: 0.1424 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:07 time: 0.1468 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:43 time: 0.1430 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:24 time: 0.1452 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:08 time: 0.1453 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:52 time: 0.1459 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1490 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1475 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1473 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1459 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:37 time: 0.1429 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1480 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1464 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1428 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1472 data: 0.0017 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1475 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1482 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1445 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1404 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1420 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1467 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1416 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1467 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1443 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1459 data: 0.0016 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 56.07 precision@0.6 = 48.53 precision@0.7 = 40.26 precision@0.8 = 29.21 precision@0.9 = 12.19 overall IoU = 52.34 mean IoU = 51.26 Average object IoU 0.5125692253506668 Overall IoU 52.34075125630897 Better epoch: 7 The best_performance is 52.34075125630897 Epoch: [8] [ 0/5278] eta: 5:52:18 lr: 4.0902389343814054e-05 loss: 0.1182 (0.1182) loss_seg: 0.1311 (0.1311) loss_lansim: 0.1244 (0.1244) loss_contra: 0.0012 (0.0012) time: 4.0050 data: 1.2658 max mem: 31671 Epoch: [8] [ 10/5278] eta: 3:53:24 lr: 4.090020974942753e-05 loss: 0.0873 (0.1049) loss_seg: 0.0965 (0.1143) loss_lansim: 0.1244 (0.1234) loss_contra: 0.0001 (0.0016) time: 2.6584 data: 0.1174 max mem: 31671 Epoch: [8] [ 20/5278] eta: 3:46:03 lr: 4.089803014213518e-05 loss: 0.0858 (0.1045) loss_seg: 0.0928 (0.1134) loss_lansim: 0.1231 (0.1204) loss_contra: 0.0001 (0.0026) time: 2.5796 data: 0.0627 max mem: 31671 Epoch: [8] [ 30/5278] eta: 3:44:46 lr: 4.089585052193616e-05 loss: 0.0923 (0.1107) loss_seg: 0.0965 (0.1199) loss_lansim: 0.1165 (0.1153) loss_contra: 0.0003 (0.0146) time: 2.5698 data: 0.0433 max mem: 31671 Epoch: [8] [ 40/5278] eta: 3:44:32 lr: 4.089367088882962e-05 loss: 0.0975 (0.1182) loss_seg: 0.1081 (0.1268) loss_lansim: 0.1111 (0.1140) loss_contra: 0.0003 (0.0168) time: 2.5720 data: 0.0334 max mem: 31671 Epoch: [8] [ 50/5278] eta: 3:43:32 lr: 4.089149124281474e-05 loss: 0.0925 (0.1102) loss_seg: 0.0995 (0.1185) loss_lansim: 0.1109 (0.1134) loss_contra: 0.0005 (0.0227) time: 2.5655 data: 0.0274 max mem: 31671 Epoch: [8] [ 60/5278] eta: 3:42:44 lr: 4.0889311583890675e-05 loss: 0.0923 (0.1098) loss_seg: 0.0995 (0.1179) loss_lansim: 0.1110 (0.1143) loss_contra: 0.0008 (0.0334) time: 2.5613 data: 0.0233 max mem: 31671 Epoch: [8] [ 70/5278] eta: 3:42:33 lr: 4.0887131912056565e-05 loss: 0.0934 (0.1113) loss_seg: 0.1028 (0.1197) loss_lansim: 0.1131 (0.1157) loss_contra: 0.0009 (0.0294) time: 2.5640 data: 0.0204 max mem: 31671 Epoch: [8] [ 80/5278] eta: 3:41:34 lr: 4.088495222731158e-05 loss: 0.0943 (0.1117) loss_seg: 0.1039 (0.1201) loss_lansim: 0.1156 (0.1175) loss_contra: 0.0011 (0.0268) time: 2.5576 data: 0.0182 max mem: 31671 Epoch: [8] [ 90/5278] eta: 3:40:36 lr: 4.0882772529654883e-05 loss: 0.0985 (0.1127) loss_seg: 0.1083 (0.1212) loss_lansim: 0.1158 (0.1186) loss_contra: 0.0010 (0.0244) time: 2.5513 data: 0.0164 max mem: 31671 Epoch: [8] [ 100/5278] eta: 3:39:52 lr: 4.088059281908563e-05 loss: 0.0975 (0.1134) loss_seg: 0.1081 (0.1218) loss_lansim: 0.1166 (0.1198) loss_contra: 0.0010 (0.0223) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [8] [ 110/5278] eta: 3:39:21 lr: 4.087841309560298e-05 loss: 0.0985 (0.1116) loss_seg: 0.1083 (0.1202) loss_lansim: 0.1176 (0.1205) loss_contra: 0.0012 (0.0209) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [8] [ 120/5278] eta: 3:38:44 lr: 4.08762333592061e-05 loss: 0.0988 (0.1106) loss_seg: 0.1083 (0.1193) loss_lansim: 0.1172 (0.1198) loss_contra: 0.0012 (0.0196) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [8] [ 130/5278] eta: 3:38:00 lr: 4.087405360989413e-05 loss: 0.0988 (0.1110) loss_seg: 0.1091 (0.1197) loss_lansim: 0.1193 (0.1198) loss_contra: 0.0010 (0.0186) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [8] [ 140/5278] eta: 3:38:01 lr: 4.0871873847666233e-05 loss: 0.0939 (0.1106) loss_seg: 0.1033 (0.1193) loss_lansim: 0.1209 (0.1199) loss_contra: 0.0009 (0.0173) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [8] [ 150/5278] eta: 3:37:21 lr: 4.086969407252157e-05 loss: 0.0934 (0.1087) loss_seg: 0.1028 (0.1173) loss_lansim: 0.1224 (0.1200) loss_contra: 0.0006 (0.0162) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [8] [ 160/5278] eta: 3:36:42 lr: 4.0867514284459305e-05 loss: 0.0985 (0.1109) loss_seg: 0.1083 (0.1195) loss_lansim: 0.1224 (0.1201) loss_contra: 0.0004 (0.0154) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [8] [ 170/5278] eta: 3:36:21 lr: 4.086533448347858e-05 loss: 0.0985 (0.1146) loss_seg: 0.1083 (0.1234) loss_lansim: 0.1219 (0.1202) loss_contra: 0.0003 (0.0146) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [8] [ 180/5278] eta: 3:36:13 lr: 4.086315466957858e-05 loss: 0.0924 (0.1140) loss_seg: 0.1004 (0.1229) loss_lansim: 0.1205 (0.1196) loss_contra: 0.0003 (0.0152) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [8] [ 190/5278] eta: 3:35:38 lr: 4.0860974842758436e-05 loss: 0.0908 (0.1164) loss_seg: 0.1000 (0.1256) loss_lansim: 0.1205 (0.1201) loss_contra: 0.0002 (0.0145) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [8] [ 200/5278] eta: 3:35:06 lr: 4.0858795003017317e-05 loss: 0.0908 (0.1155) loss_seg: 0.1000 (0.1247) loss_lansim: 0.1202 (0.1206) loss_contra: 0.0002 (0.0146) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [8] [ 210/5278] eta: 3:34:46 lr: 4.0856615150354385e-05 loss: 0.0984 (0.1172) loss_seg: 0.1035 (0.1267) loss_lansim: 0.1202 (0.1207) loss_contra: 0.0002 (0.0140) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [8] [ 220/5278] eta: 3:34:12 lr: 4.0854435284768786e-05 loss: 0.0984 (0.1171) loss_seg: 0.1073 (0.1267) loss_lansim: 0.1212 (0.1208) loss_contra: 0.0002 (0.0140) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [8] [ 230/5278] eta: 3:33:34 lr: 4.085225540625969e-05 loss: 0.0997 (0.1173) loss_seg: 0.1073 (0.1269) loss_lansim: 0.1217 (0.1210) loss_contra: 0.0002 (0.0140) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [8] [ 240/5278] eta: 3:33:07 lr: 4.085007551482624e-05 loss: 0.1071 (0.1181) loss_seg: 0.1142 (0.1277) loss_lansim: 0.1217 (0.1214) loss_contra: 0.0002 (0.0136) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [8] [ 250/5278] eta: 3:32:36 lr: 4.08478956104676e-05 loss: 0.1129 (0.1183) loss_seg: 0.1244 (0.1279) loss_lansim: 0.1228 (0.1220) loss_contra: 0.0002 (0.0131) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [8] [ 260/5278] eta: 3:32:10 lr: 4.084571569318293e-05 loss: 0.1124 (0.1185) loss_seg: 0.1244 (0.1281) loss_lansim: 0.1237 (0.1223) loss_contra: 0.0002 (0.0127) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [8] [ 270/5278] eta: 3:31:54 lr: 4.0843535762971384e-05 loss: 0.1114 (0.1179) loss_seg: 0.1215 (0.1275) loss_lansim: 0.1241 (0.1226) loss_contra: 0.0003 (0.0123) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [8] [ 280/5278] eta: 3:31:21 lr: 4.084135581983212e-05 loss: 0.1123 (0.1175) loss_seg: 0.1239 (0.1271) loss_lansim: 0.1252 (0.1228) loss_contra: 0.0002 (0.0124) time: 2.5233 data: 0.0026 max mem: 31671 Epoch: [8] [ 290/5278] eta: 3:31:07 lr: 4.083917586376429e-05 loss: 0.1096 (0.1164) loss_seg: 0.1214 (0.1260) loss_lansim: 0.1250 (0.1232) loss_contra: 0.0003 (0.0120) time: 2.5331 data: 0.0026 max mem: 31671 Epoch: [8] [ 300/5278] eta: 3:30:54 lr: 4.083699589476705e-05 loss: 0.1087 (0.1161) loss_seg: 0.1208 (0.1257) loss_lansim: 0.1241 (0.1231) loss_contra: 0.0003 (0.0117) time: 2.5429 data: 0.0026 max mem: 31671 Epoch: [8] [ 310/5278] eta: 3:30:38 lr: 4.083481591283957e-05 loss: 0.1052 (0.1163) loss_seg: 0.1142 (0.1259) loss_lansim: 0.1241 (0.1233) loss_contra: 0.0003 (0.0114) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [8] [ 320/5278] eta: 3:30:19 lr: 4.083263591798099e-05 loss: 0.1052 (0.1158) loss_seg: 0.1141 (0.1254) loss_lansim: 0.1241 (0.1231) loss_contra: 0.0004 (0.0112) time: 2.5548 data: 0.0026 max mem: 31671 Epoch: [8] [ 330/5278] eta: 3:29:40 lr: 4.083045591019047e-05 loss: 0.1054 (0.1159) loss_seg: 0.1166 (0.1254) loss_lansim: 0.1236 (0.1232) loss_contra: 0.0004 (0.0112) time: 2.5518 data: 0.0027 max mem: 31671 Epoch: [8] [ 340/5278] eta: 3:29:01 lr: 4.082827588946718e-05 loss: 0.1052 (0.1163) loss_seg: 0.1141 (0.1257) loss_lansim: 0.1229 (0.1233) loss_contra: 0.0004 (0.0114) time: 2.5434 data: 0.0027 max mem: 31671 Epoch: [8] [ 350/5278] eta: 3:28:28 lr: 4.082609585581025e-05 loss: 0.1022 (0.1158) loss_seg: 0.1100 (0.1252) loss_lansim: 0.1223 (0.1234) loss_contra: 0.0006 (0.0113) time: 2.5412 data: 0.0027 max mem: 31671 Epoch: [8] [ 360/5278] eta: 3:28:03 lr: 4.0823915809218864e-05 loss: 0.0990 (0.1159) loss_seg: 0.1079 (0.1254) loss_lansim: 0.1217 (0.1234) loss_contra: 0.0006 (0.0113) time: 2.5415 data: 0.0027 max mem: 31671 Epoch: [8] [ 370/5278] eta: 3:27:43 lr: 4.0821735749692156e-05 loss: 0.0979 (0.1157) loss_seg: 0.1049 (0.1251) loss_lansim: 0.1209 (0.1234) loss_contra: 0.0007 (0.0113) time: 2.5408 data: 0.0027 max mem: 31671 Epoch: [8] [ 380/5278] eta: 3:27:24 lr: 4.081955567722929e-05 loss: 0.0983 (0.1159) loss_seg: 0.1079 (0.1255) loss_lansim: 0.1206 (0.1232) loss_contra: 0.0007 (0.0110) time: 2.5509 data: 0.0027 max mem: 31671 Epoch: [8] [ 390/5278] eta: 3:26:52 lr: 4.081737559182943e-05 loss: 0.0979 (0.1153) loss_seg: 0.1049 (0.1248) loss_lansim: 0.1197 (0.1233) loss_contra: 0.0007 (0.0108) time: 2.5391 data: 0.0026 max mem: 31671 Epoch: [8] [ 400/5278] eta: 3:26:17 lr: 4.0815195493491724e-05 loss: 0.0974 (0.1149) loss_seg: 0.1045 (0.1244) loss_lansim: 0.1197 (0.1230) loss_contra: 0.0008 (0.0109) time: 2.5231 data: 0.0026 max mem: 31671 Epoch: [8] [ 410/5278] eta: 3:25:52 lr: 4.0813015382215315e-05 loss: 0.0974 (0.1155) loss_seg: 0.1045 (0.1252) loss_lansim: 0.1197 (0.1230) loss_contra: 0.0009 (0.0110) time: 2.5173 data: 0.0026 max mem: 31671 Epoch: [8] [ 420/5278] eta: 3:25:38 lr: 4.081083525799938e-05 loss: 0.0979 (0.1156) loss_seg: 0.1047 (0.1251) loss_lansim: 0.1194 (0.1231) loss_contra: 0.0008 (0.0110) time: 2.5220 data: 0.0026 max mem: 31671 Epoch: [8] [ 430/5278] eta: 3:25:06 lr: 4.080865512084306e-05 loss: 0.0956 (0.1152) loss_seg: 0.1037 (0.1247) loss_lansim: 0.1186 (0.1229) loss_contra: 0.0011 (0.0112) time: 2.5256 data: 0.0026 max mem: 31671 Epoch: [8] [ 440/5278] eta: 3:24:40 lr: 4.080647497074551e-05 loss: 0.0956 (0.1151) loss_seg: 0.1037 (0.1246) loss_lansim: 0.1197 (0.1230) loss_contra: 0.0008 (0.0117) time: 2.5340 data: 0.0026 max mem: 31671 Epoch: [8] [ 450/5278] eta: 3:24:10 lr: 4.080429480770589e-05 loss: 0.0956 (0.1148) loss_seg: 0.1037 (0.1243) loss_lansim: 0.1169 (0.1228) loss_contra: 0.0006 (0.0114) time: 2.5339 data: 0.0026 max mem: 31671 Epoch: [8] [ 460/5278] eta: 3:23:45 lr: 4.080211463172336e-05 loss: 0.0943 (0.1146) loss_seg: 0.1035 (0.1240) loss_lansim: 0.1170 (0.1227) loss_contra: 0.0005 (0.0116) time: 2.5342 data: 0.0026 max mem: 31671 Epoch: [8] [ 470/5278] eta: 3:23:18 lr: 4.0799934442797066e-05 loss: 0.0968 (0.1146) loss_seg: 0.1037 (0.1239) loss_lansim: 0.1166 (0.1227) loss_contra: 0.0005 (0.0116) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [8] [ 480/5278] eta: 3:22:55 lr: 4.079775424092616e-05 loss: 0.0959 (0.1143) loss_seg: 0.1035 (0.1236) loss_lansim: 0.1170 (0.1227) loss_contra: 0.0005 (0.0113) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [8] [ 490/5278] eta: 3:22:29 lr: 4.0795574026109806e-05 loss: 0.0983 (0.1143) loss_seg: 0.1047 (0.1237) loss_lansim: 0.1169 (0.1228) loss_contra: 0.0005 (0.0112) time: 2.5299 data: 0.0026 max mem: 31671 Epoch: [8] [ 500/5278] eta: 3:22:06 lr: 4.0793393798347156e-05 loss: 0.1036 (0.1147) loss_seg: 0.1104 (0.1241) loss_lansim: 0.1166 (0.1227) loss_contra: 0.0003 (0.0112) time: 2.5408 data: 0.0026 max mem: 31671 Epoch: [8] [ 510/5278] eta: 3:21:36 lr: 4.079121355763736e-05 loss: 0.1038 (0.1150) loss_seg: 0.1104 (0.1243) loss_lansim: 0.1155 (0.1228) loss_contra: 0.0003 (0.0111) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [8] [ 520/5278] eta: 3:21:06 lr: 4.078903330397958e-05 loss: 0.1045 (0.1150) loss_seg: 0.1110 (0.1243) loss_lansim: 0.1151 (0.1228) loss_contra: 0.0002 (0.0109) time: 2.5201 data: 0.0026 max mem: 31671 Epoch: [8] [ 530/5278] eta: 3:20:41 lr: 4.0786853037372956e-05 loss: 0.1075 (0.1154) loss_seg: 0.1152 (0.1247) loss_lansim: 0.1142 (0.1227) loss_contra: 0.0002 (0.0111) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [8] [ 540/5278] eta: 3:20:13 lr: 4.0784672757816654e-05 loss: 0.1073 (0.1153) loss_seg: 0.1150 (0.1246) loss_lansim: 0.1141 (0.1228) loss_contra: 0.0002 (0.0114) time: 2.5224 data: 0.0026 max mem: 31671 Epoch: [8] [ 550/5278] eta: 3:19:49 lr: 4.078249246530983e-05 loss: 0.1075 (0.1152) loss_seg: 0.1152 (0.1246) loss_lansim: 0.1152 (0.1228) loss_contra: 0.0002 (0.0114) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [8] [ 560/5278] eta: 3:19:21 lr: 4.0780312159851623e-05 loss: 0.1075 (0.1151) loss_seg: 0.1150 (0.1244) loss_lansim: 0.1182 (0.1229) loss_contra: 0.0002 (0.0115) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [8] [ 570/5278] eta: 3:18:56 lr: 4.07781318414412e-05 loss: 0.1052 (0.1149) loss_seg: 0.1132 (0.1242) loss_lansim: 0.1184 (0.1228) loss_contra: 0.0002 (0.0113) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [8] [ 580/5278] eta: 3:18:33 lr: 4.0775951510077715e-05 loss: 0.1075 (0.1156) loss_seg: 0.1159 (0.1250) loss_lansim: 0.1184 (0.1228) loss_contra: 0.0001 (0.0111) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [8] [ 590/5278] eta: 3:18:04 lr: 4.077377116576031e-05 loss: 0.1110 (0.1159) loss_seg: 0.1177 (0.1253) loss_lansim: 0.1191 (0.1230) loss_contra: 0.0002 (0.0110) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [8] [ 600/5278] eta: 3:17:33 lr: 4.077159080848815e-05 loss: 0.1058 (0.1157) loss_seg: 0.1147 (0.1249) loss_lansim: 0.1188 (0.1229) loss_contra: 0.0002 (0.0109) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [8] [ 610/5278] eta: 3:17:11 lr: 4.076941043826039e-05 loss: 0.1104 (0.1163) loss_seg: 0.1170 (0.1257) loss_lansim: 0.1217 (0.1231) loss_contra: 0.0002 (0.0107) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [8] [ 620/5278] eta: 3:16:43 lr: 4.076723005507617e-05 loss: 0.1070 (0.1163) loss_seg: 0.1147 (0.1256) loss_lansim: 0.1250 (0.1233) loss_contra: 0.0001 (0.0109) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [8] [ 630/5278] eta: 3:16:15 lr: 4.076504965893465e-05 loss: 0.1070 (0.1166) loss_seg: 0.1147 (0.1259) loss_lansim: 0.1273 (0.1236) loss_contra: 0.0001 (0.0108) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [8] [ 640/5278] eta: 3:15:46 lr: 4.076286924983498e-05 loss: 0.1104 (0.1170) loss_seg: 0.1170 (0.1262) loss_lansim: 0.1280 (0.1238) loss_contra: 0.0002 (0.0106) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [8] [ 650/5278] eta: 3:15:24 lr: 4.0760688827776315e-05 loss: 0.1104 (0.1173) loss_seg: 0.1170 (0.1266) loss_lansim: 0.1300 (0.1241) loss_contra: 0.0002 (0.0106) time: 2.5197 data: 0.0025 max mem: 31671 Epoch: [8] [ 660/5278] eta: 3:14:59 lr: 4.0758508392757815e-05 loss: 0.1141 (0.1171) loss_seg: 0.1189 (0.1264) loss_lansim: 0.1308 (0.1243) loss_contra: 0.0002 (0.0105) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [8] [ 670/5278] eta: 3:14:38 lr: 4.075632794477862e-05 loss: 0.1141 (0.1168) loss_seg: 0.1189 (0.1261) loss_lansim: 0.1359 (0.1245) loss_contra: 0.0002 (0.0104) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [8] [ 680/5278] eta: 3:14:11 lr: 4.0754147483837896e-05 loss: 0.1089 (0.1169) loss_seg: 0.1170 (0.1262) loss_lansim: 0.1367 (0.1247) loss_contra: 0.0003 (0.0106) time: 2.5234 data: 0.0026 max mem: 31671 Epoch: [8] [ 690/5278] eta: 3:13:50 lr: 4.0751967009934784e-05 loss: 0.1141 (0.1174) loss_seg: 0.1263 (0.1268) loss_lansim: 0.1378 (0.1249) loss_contra: 0.0003 (0.0105) time: 2.5346 data: 0.0026 max mem: 31671 Epoch: [8] [ 700/5278] eta: 3:13:22 lr: 4.074978652306844e-05 loss: 0.1155 (0.1179) loss_seg: 0.1264 (0.1271) loss_lansim: 0.1389 (0.1249) loss_contra: 0.0003 (0.0105) time: 2.5376 data: 0.0026 max mem: 31671 Epoch: [8] [ 710/5278] eta: 3:12:55 lr: 4.0747606023238016e-05 loss: 0.1151 (0.1185) loss_seg: 0.1264 (0.1278) loss_lansim: 0.1393 (0.1252) loss_contra: 0.0005 (0.0103) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [8] [ 720/5278] eta: 3:12:28 lr: 4.074542551044267e-05 loss: 0.1208 (0.1188) loss_seg: 0.1305 (0.1280) loss_lansim: 0.1398 (0.1255) loss_contra: 0.0006 (0.0108) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [8] [ 730/5278] eta: 3:11:57 lr: 4.074324498468154e-05 loss: 0.1157 (0.1186) loss_seg: 0.1264 (0.1278) loss_lansim: 0.1393 (0.1256) loss_contra: 0.0006 (0.0108) time: 2.5268 data: 0.0026 max mem: 31671 Epoch: [8] [ 740/5278] eta: 3:11:35 lr: 4.074106444595379e-05 loss: 0.1140 (0.1183) loss_seg: 0.1251 (0.1275) loss_lansim: 0.1382 (0.1256) loss_contra: 0.0005 (0.0107) time: 2.5370 data: 0.0026 max mem: 31671 Epoch: [8] [ 750/5278] eta: 3:11:07 lr: 4.073888389425857e-05 loss: 0.1140 (0.1184) loss_seg: 0.1251 (0.1275) loss_lansim: 0.1375 (0.1258) loss_contra: 0.0005 (0.0106) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [8] [ 760/5278] eta: 3:10:37 lr: 4.073670332959503e-05 loss: 0.1128 (0.1182) loss_seg: 0.1233 (0.1273) loss_lansim: 0.1352 (0.1258) loss_contra: 0.0005 (0.0105) time: 2.5189 data: 0.0026 max mem: 31671 Epoch: [8] [ 770/5278] eta: 3:10:09 lr: 4.0734522751962316e-05 loss: 0.1140 (0.1182) loss_seg: 0.1236 (0.1273) loss_lansim: 0.1374 (0.1261) loss_contra: 0.0004 (0.0104) time: 2.5072 data: 0.0026 max mem: 31671 Epoch: [8] [ 780/5278] eta: 3:09:45 lr: 4.0732342161359585e-05 loss: 0.1128 (0.1180) loss_seg: 0.1233 (0.1271) loss_lansim: 0.1337 (0.1263) loss_contra: 0.0004 (0.0103) time: 2.5120 data: 0.0026 max mem: 31671 Epoch: [8] [ 790/5278] eta: 3:09:22 lr: 4.0730161557785994e-05 loss: 0.1113 (0.1183) loss_seg: 0.1213 (0.1274) loss_lansim: 0.1374 (0.1265) loss_contra: 0.0004 (0.0118) time: 2.5092 data: 0.0025 max mem: 31671 Epoch: [8] [ 800/5278] eta: 3:09:04 lr: 4.072798094124068e-05 loss: 0.1113 (0.1189) loss_seg: 0.1213 (0.1281) loss_lansim: 0.1382 (0.1268) loss_contra: 0.0005 (0.0120) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [8] [ 810/5278] eta: 3:08:38 lr: 4.0725800311722825e-05 loss: 0.1099 (0.1191) loss_seg: 0.1212 (0.1282) loss_lansim: 0.1378 (0.1271) loss_contra: 0.0005 (0.0120) time: 2.5263 data: 0.0026 max mem: 31671 Epoch: [8] [ 820/5278] eta: 3:08:16 lr: 4.072361966923153e-05 loss: 0.1096 (0.1197) loss_seg: 0.1207 (0.1289) loss_lansim: 0.1380 (0.1273) loss_contra: 0.0005 (0.0124) time: 2.5372 data: 0.0026 max mem: 31671 Epoch: [8] [ 830/5278] eta: 3:07:51 lr: 4.0721439013765986e-05 loss: 0.1096 (0.1196) loss_seg: 0.1197 (0.1288) loss_lansim: 0.1416 (0.1276) loss_contra: 0.0005 (0.0123) time: 2.5462 data: 0.0026 max mem: 31671 Epoch: [8] [ 840/5278] eta: 3:07:26 lr: 4.071925834532534e-05 loss: 0.1096 (0.1192) loss_seg: 0.1195 (0.1284) loss_lansim: 0.1467 (0.1280) loss_contra: 0.0006 (0.0122) time: 2.5413 data: 0.0026 max mem: 31671 Epoch: [8] [ 850/5278] eta: 3:07:02 lr: 4.071707766390873e-05 loss: 0.1079 (0.1189) loss_seg: 0.1158 (0.1280) loss_lansim: 0.1477 (0.1284) loss_contra: 0.0006 (0.0131) time: 2.5484 data: 0.0026 max mem: 31671 Epoch: [8] [ 860/5278] eta: 3:06:39 lr: 4.0714896969515295e-05 loss: 0.1079 (0.1190) loss_seg: 0.1166 (0.1281) loss_lansim: 0.1494 (0.1287) loss_contra: 0.0006 (0.0130) time: 2.5604 data: 0.0026 max mem: 31671 Epoch: [8] [ 870/5278] eta: 3:06:19 lr: 4.071271626214421e-05 loss: 0.1079 (0.1187) loss_seg: 0.1166 (0.1278) loss_lansim: 0.1488 (0.1287) loss_contra: 0.0009 (0.0132) time: 2.5759 data: 0.0026 max mem: 31671 Epoch: [8] [ 880/5278] eta: 3:05:50 lr: 4.071053554179462e-05 loss: 0.1079 (0.1183) loss_seg: 0.1124 (0.1273) loss_lansim: 0.1488 (0.1289) loss_contra: 0.0009 (0.0133) time: 2.5674 data: 0.0026 max mem: 31671 Epoch: [8] [ 890/5278] eta: 3:05:22 lr: 4.070835480846568e-05 loss: 0.0948 (0.1191) loss_seg: 0.1044 (0.1281) loss_lansim: 0.1493 (0.1291) loss_contra: 0.0011 (0.0134) time: 2.5593 data: 0.0026 max mem: 31671 Epoch: [8] [ 900/5278] eta: 3:04:59 lr: 4.070617406215652e-05 loss: 0.0935 (0.1188) loss_seg: 0.1029 (0.1278) loss_lansim: 0.1467 (0.1292) loss_contra: 0.0011 (0.0135) time: 2.5509 data: 0.0026 max mem: 31671 Epoch: [8] [ 910/5278] eta: 3:04:37 lr: 4.07039933028663e-05 loss: 0.0935 (0.1189) loss_seg: 0.1029 (0.1279) loss_lansim: 0.1452 (0.1292) loss_contra: 0.0009 (0.0134) time: 2.5599 data: 0.0026 max mem: 31671 Epoch: [8] [ 920/5278] eta: 3:04:13 lr: 4.070181253059419e-05 loss: 0.0857 (0.1188) loss_seg: 0.0936 (0.1277) loss_lansim: 0.1452 (0.1293) loss_contra: 0.0008 (0.0134) time: 2.5563 data: 0.0026 max mem: 31671 Epoch: [8] [ 930/5278] eta: 3:03:51 lr: 4.06996317453393e-05 loss: 0.0865 (0.1188) loss_seg: 0.0948 (0.1277) loss_lansim: 0.1432 (0.1294) loss_contra: 0.0011 (0.0133) time: 2.5626 data: 0.0026 max mem: 31671 Epoch: [8] [ 940/5278] eta: 3:03:24 lr: 4.0697450947100814e-05 loss: 0.0865 (0.1185) loss_seg: 0.0922 (0.1274) loss_lansim: 0.1402 (0.1294) loss_contra: 0.0010 (0.0132) time: 2.5591 data: 0.0026 max mem: 31671 Epoch: [8] [ 950/5278] eta: 3:02:59 lr: 4.069527013587787e-05 loss: 0.0929 (0.1189) loss_seg: 0.0992 (0.1278) loss_lansim: 0.1391 (0.1296) loss_contra: 0.0008 (0.0131) time: 2.5575 data: 0.0026 max mem: 31671 Epoch: [8] [ 960/5278] eta: 3:02:38 lr: 4.069308931166961e-05 loss: 0.0929 (0.1189) loss_seg: 0.0992 (0.1279) loss_lansim: 0.1367 (0.1296) loss_contra: 0.0006 (0.0130) time: 2.5647 data: 0.0026 max mem: 31671 Epoch: [8] [ 970/5278] eta: 3:02:13 lr: 4.06909084744752e-05 loss: 0.0959 (0.1188) loss_seg: 0.1029 (0.1278) loss_lansim: 0.1351 (0.1295) loss_contra: 0.0008 (0.0129) time: 2.5540 data: 0.0026 max mem: 31671 Epoch: [8] [ 980/5278] eta: 3:01:49 lr: 4.068872762429377e-05 loss: 0.1022 (0.1187) loss_seg: 0.1110 (0.1276) loss_lansim: 0.1333 (0.1294) loss_contra: 0.0007 (0.0129) time: 2.5647 data: 0.0026 max mem: 31671 Epoch: [8] [ 990/5278] eta: 3:01:25 lr: 4.0686546761124484e-05 loss: 0.1074 (0.1187) loss_seg: 0.1154 (0.1276) loss_lansim: 0.1328 (0.1294) loss_contra: 0.0006 (0.0128) time: 2.5716 data: 0.0026 max mem: 31671 Epoch: [8] [1000/5278] eta: 3:00:56 lr: 4.068436588496648e-05 loss: 0.1110 (0.1188) loss_seg: 0.1190 (0.1277) loss_lansim: 0.1328 (0.1293) loss_contra: 0.0006 (0.0129) time: 2.5602 data: 0.0026 max mem: 31671 Epoch: [8] [1010/5278] eta: 3:00:29 lr: 4.068218499581892e-05 loss: 0.1079 (0.1186) loss_seg: 0.1148 (0.1275) loss_lansim: 0.1328 (0.1294) loss_contra: 0.0006 (0.0128) time: 2.5500 data: 0.0026 max mem: 31671 Epoch: [8] [1020/5278] eta: 3:00:01 lr: 4.0680004093680944e-05 loss: 0.1079 (0.1186) loss_seg: 0.1148 (0.1275) loss_lansim: 0.1308 (0.1294) loss_contra: 0.0006 (0.0128) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [8] [1030/5278] eta: 2:59:35 lr: 4.067782317855171e-05 loss: 0.1079 (0.1186) loss_seg: 0.1148 (0.1275) loss_lansim: 0.1298 (0.1294) loss_contra: 0.0006 (0.0130) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [8] [1040/5278] eta: 2:59:11 lr: 4.067564225043035e-05 loss: 0.1110 (0.1189) loss_seg: 0.1190 (0.1279) loss_lansim: 0.1298 (0.1294) loss_contra: 0.0006 (0.0131) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [8] [1050/5278] eta: 2:58:44 lr: 4.0673461309316025e-05 loss: 0.1101 (0.1190) loss_seg: 0.1180 (0.1280) loss_lansim: 0.1260 (0.1293) loss_contra: 0.0008 (0.0133) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [8] [1060/5278] eta: 2:58:19 lr: 4.067128035520788e-05 loss: 0.1066 (0.1188) loss_seg: 0.1135 (0.1277) loss_lansim: 0.1269 (0.1294) loss_contra: 0.0010 (0.0133) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [8] [1070/5278] eta: 2:57:54 lr: 4.0669099388105066e-05 loss: 0.1039 (0.1186) loss_seg: 0.1109 (0.1275) loss_lansim: 0.1271 (0.1293) loss_contra: 0.0010 (0.0132) time: 2.5246 data: 0.0025 max mem: 31671 Epoch: [8] [1080/5278] eta: 2:57:31 lr: 4.066691840800673e-05 loss: 0.1022 (0.1187) loss_seg: 0.1087 (0.1275) loss_lansim: 0.1271 (0.1294) loss_contra: 0.0011 (0.0131) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [8] [1090/5278] eta: 2:57:06 lr: 4.066473741491201e-05 loss: 0.0973 (0.1187) loss_seg: 0.1073 (0.1275) loss_lansim: 0.1273 (0.1293) loss_contra: 0.0014 (0.0134) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [8] [1100/5278] eta: 2:56:39 lr: 4.066255640882007e-05 loss: 0.1022 (0.1186) loss_seg: 0.1087 (0.1275) loss_lansim: 0.1271 (0.1293) loss_contra: 0.0011 (0.0133) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [8] [1110/5278] eta: 2:56:13 lr: 4.066037538973006e-05 loss: 0.1030 (0.1188) loss_seg: 0.1138 (0.1277) loss_lansim: 0.1271 (0.1293) loss_contra: 0.0009 (0.0132) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [8] [1120/5278] eta: 2:55:48 lr: 4.06581943576411e-05 loss: 0.1050 (0.1189) loss_seg: 0.1157 (0.1278) loss_lansim: 0.1260 (0.1292) loss_contra: 0.0009 (0.0136) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [8] [1130/5278] eta: 2:55:23 lr: 4.065601331255238e-05 loss: 0.1071 (0.1193) loss_seg: 0.1176 (0.1282) loss_lansim: 0.1269 (0.1293) loss_contra: 0.0009 (0.0135) time: 2.5425 data: 0.0026 max mem: 31671 Epoch: [8] [1140/5278] eta: 2:55:01 lr: 4.065383225446301e-05 loss: 0.1070 (0.1193) loss_seg: 0.1173 (0.1283) loss_lansim: 0.1260 (0.1292) loss_contra: 0.0008 (0.0134) time: 2.5473 data: 0.0026 max mem: 31671 Epoch: [8] [1150/5278] eta: 2:54:38 lr: 4.065165118337216e-05 loss: 0.1066 (0.1194) loss_seg: 0.1173 (0.1284) loss_lansim: 0.1271 (0.1292) loss_contra: 0.0008 (0.0135) time: 2.5561 data: 0.0026 max mem: 31671 Epoch: [8] [1160/5278] eta: 2:54:14 lr: 4.064947009927896e-05 loss: 0.1100 (0.1195) loss_seg: 0.1189 (0.1285) loss_lansim: 0.1263 (0.1292) loss_contra: 0.0008 (0.0134) time: 2.5589 data: 0.0026 max mem: 31671 Epoch: [8] [1170/5278] eta: 2:53:50 lr: 4.064728900218257e-05 loss: 0.1118 (0.1194) loss_seg: 0.1219 (0.1284) loss_lansim: 0.1240 (0.1291) loss_contra: 0.0007 (0.0133) time: 2.5658 data: 0.0026 max mem: 31671 Epoch: [8] [1180/5278] eta: 2:53:24 lr: 4.064510789208214e-05 loss: 0.1118 (0.1193) loss_seg: 0.1219 (0.1283) loss_lansim: 0.1240 (0.1290) loss_contra: 0.0006 (0.0133) time: 2.5571 data: 0.0026 max mem: 31671 Epoch: [8] [1190/5278] eta: 2:52:59 lr: 4.064292676897681e-05 loss: 0.1110 (0.1194) loss_seg: 0.1226 (0.1284) loss_lansim: 0.1236 (0.1289) loss_contra: 0.0004 (0.0132) time: 2.5589 data: 0.0026 max mem: 31671 Epoch: [8] [1200/5278] eta: 2:52:34 lr: 4.0640745632865723e-05 loss: 0.1125 (0.1194) loss_seg: 0.1232 (0.1284) loss_lansim: 0.1232 (0.1289) loss_contra: 0.0005 (0.0131) time: 2.5625 data: 0.0026 max mem: 31671 Epoch: [8] [1210/5278] eta: 2:52:09 lr: 4.0638564483748033e-05 loss: 0.1138 (0.1194) loss_seg: 0.1248 (0.1284) loss_lansim: 0.1218 (0.1288) loss_contra: 0.0006 (0.0131) time: 2.5656 data: 0.0026 max mem: 31671 Epoch: [8] [1220/5278] eta: 2:51:46 lr: 4.063638332162288e-05 loss: 0.1125 (0.1193) loss_seg: 0.1232 (0.1283) loss_lansim: 0.1223 (0.1288) loss_contra: 0.0005 (0.0130) time: 2.5732 data: 0.0026 max mem: 31671 Epoch: [8] [1230/5278] eta: 2:51:18 lr: 4.0634202146489425e-05 loss: 0.1125 (0.1195) loss_seg: 0.1232 (0.1284) loss_lansim: 0.1213 (0.1288) loss_contra: 0.0005 (0.0129) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [8] [1240/5278] eta: 2:50:54 lr: 4.06320209583468e-05 loss: 0.1110 (0.1193) loss_seg: 0.1231 (0.1282) loss_lansim: 0.1211 (0.1287) loss_contra: 0.0003 (0.0129) time: 2.5579 data: 0.0025 max mem: 31671 Epoch: [8] [1250/5278] eta: 2:50:28 lr: 4.0629839757194155e-05 loss: 0.1064 (0.1190) loss_seg: 0.1142 (0.1279) loss_lansim: 0.1211 (0.1287) loss_contra: 0.0003 (0.0129) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [8] [1260/5278] eta: 2:50:03 lr: 4.062765854303064e-05 loss: 0.1048 (0.1190) loss_seg: 0.1131 (0.1280) loss_lansim: 0.1211 (0.1286) loss_contra: 0.0003 (0.0128) time: 2.5481 data: 0.0024 max mem: 31671 Epoch: [8] [1270/5278] eta: 2:49:40 lr: 4.0625477315855404e-05 loss: 0.1054 (0.1190) loss_seg: 0.1142 (0.1279) loss_lansim: 0.1213 (0.1286) loss_contra: 0.0002 (0.0127) time: 2.5487 data: 0.0024 max mem: 31671 Epoch: [8] [1280/5278] eta: 2:49:16 lr: 4.0623296075667585e-05 loss: 0.1082 (0.1191) loss_seg: 0.1168 (0.1280) loss_lansim: 0.1214 (0.1286) loss_contra: 0.0003 (0.0126) time: 2.5587 data: 0.0024 max mem: 31671 Epoch: [8] [1290/5278] eta: 2:48:49 lr: 4.062111482246633e-05 loss: 0.1023 (0.1188) loss_seg: 0.1131 (0.1278) loss_lansim: 0.1222 (0.1286) loss_contra: 0.0003 (0.0126) time: 2.5514 data: 0.0024 max mem: 31671 Epoch: [8] [1300/5278] eta: 2:48:22 lr: 4.061893355625078e-05 loss: 0.0991 (0.1188) loss_seg: 0.1090 (0.1277) loss_lansim: 0.1222 (0.1285) loss_contra: 0.0003 (0.0125) time: 2.5453 data: 0.0024 max mem: 31671 Epoch: [8] [1310/5278] eta: 2:47:57 lr: 4.06167522770201e-05 loss: 0.0976 (0.1187) loss_seg: 0.1069 (0.1276) loss_lansim: 0.1226 (0.1285) loss_contra: 0.0002 (0.0125) time: 2.5434 data: 0.0024 max mem: 31671 Epoch: [8] [1320/5278] eta: 2:47:32 lr: 4.061457098477342e-05 loss: 0.0991 (0.1189) loss_seg: 0.1098 (0.1279) loss_lansim: 0.1226 (0.1285) loss_contra: 0.0002 (0.0126) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [8] [1330/5278] eta: 2:47:06 lr: 4.061238967950989e-05 loss: 0.0991 (0.1191) loss_seg: 0.1098 (0.1281) loss_lansim: 0.1222 (0.1284) loss_contra: 0.0003 (0.0125) time: 2.5462 data: 0.0024 max mem: 31671 Epoch: [8] [1340/5278] eta: 2:46:42 lr: 4.061020836122866e-05 loss: 0.1009 (0.1191) loss_seg: 0.1118 (0.1281) loss_lansim: 0.1222 (0.1284) loss_contra: 0.0003 (0.0125) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [8] [1350/5278] eta: 2:46:19 lr: 4.060802702992886e-05 loss: 0.1082 (0.1191) loss_seg: 0.1168 (0.1282) loss_lansim: 0.1216 (0.1284) loss_contra: 0.0003 (0.0126) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [8] [1360/5278] eta: 2:45:53 lr: 4.060584568560965e-05 loss: 0.1073 (0.1191) loss_seg: 0.1148 (0.1282) loss_lansim: 0.1249 (0.1284) loss_contra: 0.0003 (0.0126) time: 2.5550 data: 0.0025 max mem: 31671 Epoch: [8] [1370/5278] eta: 2:45:28 lr: 4.060366432827017e-05 loss: 0.1039 (0.1191) loss_seg: 0.1143 (0.1282) loss_lansim: 0.1229 (0.1284) loss_contra: 0.0003 (0.0126) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [8] [1380/5278] eta: 2:45:02 lr: 4.060148295790956e-05 loss: 0.1032 (0.1191) loss_seg: 0.1134 (0.1282) loss_lansim: 0.1246 (0.1284) loss_contra: 0.0002 (0.0125) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [8] [1390/5278] eta: 2:44:35 lr: 4.0599301574526983e-05 loss: 0.1101 (0.1192) loss_seg: 0.1143 (0.1284) loss_lansim: 0.1246 (0.1284) loss_contra: 0.0003 (0.0124) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [8] [1400/5278] eta: 2:44:09 lr: 4.059712017812156e-05 loss: 0.1140 (0.1192) loss_seg: 0.1221 (0.1284) loss_lansim: 0.1251 (0.1284) loss_contra: 0.0003 (0.0123) time: 2.5405 data: 0.0026 max mem: 31671 Epoch: [8] [1410/5278] eta: 2:43:44 lr: 4.059493876869245e-05 loss: 0.1135 (0.1191) loss_seg: 0.1182 (0.1282) loss_lansim: 0.1251 (0.1284) loss_contra: 0.0003 (0.0123) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [8] [1420/5278] eta: 2:43:19 lr: 4.05927573462388e-05 loss: 0.1138 (0.1190) loss_seg: 0.1182 (0.1281) loss_lansim: 0.1251 (0.1283) loss_contra: 0.0003 (0.0123) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [8] [1430/5278] eta: 2:42:54 lr: 4.0590575910759744e-05 loss: 0.1112 (0.1190) loss_seg: 0.1147 (0.1281) loss_lansim: 0.1246 (0.1282) loss_contra: 0.0003 (0.0122) time: 2.5474 data: 0.0026 max mem: 31671 Epoch: [8] [1440/5278] eta: 2:42:29 lr: 4.058839446225444e-05 loss: 0.1138 (0.1191) loss_seg: 0.1182 (0.1283) loss_lansim: 0.1219 (0.1281) loss_contra: 0.0003 (0.0122) time: 2.5445 data: 0.0026 max mem: 31671 Epoch: [8] [1450/5278] eta: 2:42:05 lr: 4.0586213000722014e-05 loss: 0.1112 (0.1190) loss_seg: 0.1166 (0.1282) loss_lansim: 0.1217 (0.1281) loss_contra: 0.0003 (0.0121) time: 2.5400 data: 0.0026 max mem: 31671 Epoch: [8] [1460/5278] eta: 2:41:39 lr: 4.058403152616163e-05 loss: 0.1109 (0.1190) loss_seg: 0.1147 (0.1282) loss_lansim: 0.1205 (0.1280) loss_contra: 0.0003 (0.0121) time: 2.5406 data: 0.0026 max mem: 31671 Epoch: [8] [1470/5278] eta: 2:41:13 lr: 4.058185003857242e-05 loss: 0.1109 (0.1188) loss_seg: 0.1166 (0.1280) loss_lansim: 0.1205 (0.1280) loss_contra: 0.0003 (0.0120) time: 2.5397 data: 0.0026 max mem: 31671 Epoch: [8] [1480/5278] eta: 2:40:47 lr: 4.057966853795352e-05 loss: 0.1109 (0.1188) loss_seg: 0.1166 (0.1279) loss_lansim: 0.1199 (0.1280) loss_contra: 0.0003 (0.0120) time: 2.5355 data: 0.0026 max mem: 31671 Epoch: [8] [1490/5278] eta: 2:40:21 lr: 4.057748702430409e-05 loss: 0.1074 (0.1190) loss_seg: 0.1166 (0.1282) loss_lansim: 0.1196 (0.1279) loss_contra: 0.0002 (0.0119) time: 2.5410 data: 0.0026 max mem: 31671 Epoch: [8] [1500/5278] eta: 2:39:57 lr: 4.0575305497623276e-05 loss: 0.1034 (0.1190) loss_seg: 0.1141 (0.1283) loss_lansim: 0.1167 (0.1279) loss_contra: 0.0002 (0.0119) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [8] [1510/5278] eta: 2:39:29 lr: 4.0573123957910206e-05 loss: 0.1034 (0.1190) loss_seg: 0.1141 (0.1282) loss_lansim: 0.1196 (0.1279) loss_contra: 0.0004 (0.0119) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [8] [1520/5278] eta: 2:39:04 lr: 4.057094240516403e-05 loss: 0.1030 (0.1189) loss_seg: 0.1117 (0.1281) loss_lansim: 0.1199 (0.1278) loss_contra: 0.0004 (0.0118) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [8] [1530/5278] eta: 2:38:39 lr: 4.0568760839383895e-05 loss: 0.0973 (0.1188) loss_seg: 0.1073 (0.1280) loss_lansim: 0.1214 (0.1278) loss_contra: 0.0002 (0.0117) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [8] [1540/5278] eta: 2:38:14 lr: 4.0566579260568946e-05 loss: 0.0964 (0.1191) loss_seg: 0.1063 (0.1283) loss_lansim: 0.1222 (0.1278) loss_contra: 0.0002 (0.0118) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [8] [1550/5278] eta: 2:37:49 lr: 4.0564397668718315e-05 loss: 0.0973 (0.1194) loss_seg: 0.1073 (0.1286) loss_lansim: 0.1223 (0.1278) loss_contra: 0.0002 (0.0117) time: 2.5347 data: 0.0026 max mem: 31671 Epoch: [8] [1560/5278] eta: 2:37:24 lr: 4.056221606383116e-05 loss: 0.0973 (0.1195) loss_seg: 0.1073 (0.1287) loss_lansim: 0.1236 (0.1278) loss_contra: 0.0002 (0.0123) time: 2.5338 data: 0.0026 max mem: 31671 Epoch: [8] [1570/5278] eta: 2:36:57 lr: 4.0560034445906615e-05 loss: 0.1009 (0.1196) loss_seg: 0.1117 (0.1288) loss_lansim: 0.1240 (0.1278) loss_contra: 0.0002 (0.0125) time: 2.5320 data: 0.0026 max mem: 31671 Epoch: [8] [1580/5278] eta: 2:36:32 lr: 4.055785281494382e-05 loss: 0.1098 (0.1196) loss_seg: 0.1171 (0.1289) loss_lansim: 0.1252 (0.1278) loss_contra: 0.0002 (0.0124) time: 2.5367 data: 0.0026 max mem: 31671 Epoch: [8] [1590/5278] eta: 2:36:06 lr: 4.0555671170941924e-05 loss: 0.1029 (0.1196) loss_seg: 0.1129 (0.1288) loss_lansim: 0.1262 (0.1278) loss_contra: 0.0002 (0.0124) time: 2.5332 data: 0.0026 max mem: 31671 Epoch: [8] [1600/5278] eta: 2:35:40 lr: 4.055348951390007e-05 loss: 0.1098 (0.1197) loss_seg: 0.1171 (0.1289) loss_lansim: 0.1266 (0.1278) loss_contra: 0.0003 (0.0124) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [8] [1610/5278] eta: 2:35:13 lr: 4.055130784381739e-05 loss: 0.1161 (0.1200) loss_seg: 0.1243 (0.1293) loss_lansim: 0.1267 (0.1278) loss_contra: 0.0003 (0.0123) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [8] [1620/5278] eta: 2:34:48 lr: 4.0549126160693045e-05 loss: 0.1151 (0.1199) loss_seg: 0.1275 (0.1292) loss_lansim: 0.1272 (0.1278) loss_contra: 0.0004 (0.0124) time: 2.5301 data: 0.0026 max mem: 31671 Epoch: [8] [1630/5278] eta: 2:34:21 lr: 4.0546944464526174e-05 loss: 0.1187 (0.1200) loss_seg: 0.1317 (0.1293) loss_lansim: 0.1267 (0.1278) loss_contra: 0.0007 (0.0123) time: 2.5236 data: 0.0026 max mem: 31671 Epoch: [8] [1640/5278] eta: 2:33:55 lr: 4.0544762755315896e-05 loss: 0.1218 (0.1203) loss_seg: 0.1346 (0.1297) loss_lansim: 0.1267 (0.1278) loss_contra: 0.0005 (0.0123) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [8] [1650/5278] eta: 2:33:31 lr: 4.054258103306138e-05 loss: 0.1107 (0.1202) loss_seg: 0.1129 (0.1295) loss_lansim: 0.1274 (0.1279) loss_contra: 0.0007 (0.0123) time: 2.5199 data: 0.0025 max mem: 31671 Epoch: [8] [1660/5278] eta: 2:33:05 lr: 4.054039929776175e-05 loss: 0.1042 (0.1201) loss_seg: 0.1122 (0.1295) loss_lansim: 0.1257 (0.1279) loss_contra: 0.0005 (0.0124) time: 2.5186 data: 0.0025 max mem: 31671 Epoch: [8] [1670/5278] eta: 2:32:39 lr: 4.0538217549416155e-05 loss: 0.1115 (0.1203) loss_seg: 0.1180 (0.1296) loss_lansim: 0.1266 (0.1279) loss_contra: 0.0007 (0.0127) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [8] [1680/5278] eta: 2:32:14 lr: 4.053603578802375e-05 loss: 0.1107 (0.1202) loss_seg: 0.1134 (0.1296) loss_lansim: 0.1271 (0.1279) loss_contra: 0.0008 (0.0126) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [8] [1690/5278] eta: 2:31:47 lr: 4.053385401358365e-05 loss: 0.1128 (0.1203) loss_seg: 0.1204 (0.1297) loss_lansim: 0.1255 (0.1280) loss_contra: 0.0010 (0.0127) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [8] [1700/5278] eta: 2:31:22 lr: 4.053167222609502e-05 loss: 0.1107 (0.1202) loss_seg: 0.1165 (0.1296) loss_lansim: 0.1255 (0.1280) loss_contra: 0.0010 (0.0127) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [8] [1710/5278] eta: 2:30:56 lr: 4.0529490425556994e-05 loss: 0.1022 (0.1202) loss_seg: 0.1123 (0.1296) loss_lansim: 0.1244 (0.1279) loss_contra: 0.0011 (0.0128) time: 2.5247 data: 0.0024 max mem: 31671 Epoch: [8] [1720/5278] eta: 2:30:32 lr: 4.05273086119687e-05 loss: 0.1022 (0.1201) loss_seg: 0.1134 (0.1294) loss_lansim: 0.1244 (0.1279) loss_contra: 0.0010 (0.0127) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [8] [1730/5278] eta: 2:30:07 lr: 4.052512678532931e-05 loss: 0.1015 (0.1200) loss_seg: 0.1123 (0.1294) loss_lansim: 0.1266 (0.1280) loss_contra: 0.0009 (0.0126) time: 2.5381 data: 0.0024 max mem: 31671 Epoch: [8] [1740/5278] eta: 2:29:42 lr: 4.0522944945637935e-05 loss: 0.1015 (0.1202) loss_seg: 0.1123 (0.1296) loss_lansim: 0.1271 (0.1279) loss_contra: 0.0011 (0.0127) time: 2.5405 data: 0.0024 max mem: 31671 Epoch: [8] [1750/5278] eta: 2:29:17 lr: 4.052076309289373e-05 loss: 0.1093 (0.1203) loss_seg: 0.1204 (0.1298) loss_lansim: 0.1266 (0.1279) loss_contra: 0.0009 (0.0128) time: 2.5394 data: 0.0024 max mem: 31671 Epoch: [8] [1760/5278] eta: 2:28:52 lr: 4.051858122709584e-05 loss: 0.1090 (0.1203) loss_seg: 0.1203 (0.1297) loss_lansim: 0.1283 (0.1280) loss_contra: 0.0011 (0.0127) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [8] [1770/5278] eta: 2:28:27 lr: 4.051639934824338e-05 loss: 0.1037 (0.1202) loss_seg: 0.1123 (0.1296) loss_lansim: 0.1281 (0.1280) loss_contra: 0.0009 (0.0127) time: 2.5502 data: 0.0024 max mem: 31671 Epoch: [8] [1780/5278] eta: 2:28:01 lr: 4.051421745633552e-05 loss: 0.1037 (0.1201) loss_seg: 0.1117 (0.1294) loss_lansim: 0.1258 (0.1279) loss_contra: 0.0009 (0.0126) time: 2.5451 data: 0.0024 max mem: 31671 Epoch: [8] [1790/5278] eta: 2:27:35 lr: 4.05120355513714e-05 loss: 0.1052 (0.1201) loss_seg: 0.1123 (0.1295) loss_lansim: 0.1281 (0.1280) loss_contra: 0.0006 (0.0126) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [8] [1800/5278] eta: 2:27:09 lr: 4.050985363335014e-05 loss: 0.1037 (0.1201) loss_seg: 0.1117 (0.1294) loss_lansim: 0.1283 (0.1280) loss_contra: 0.0006 (0.0130) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [8] [1810/5278] eta: 2:26:43 lr: 4.05076717022709e-05 loss: 0.1053 (0.1201) loss_seg: 0.1117 (0.1294) loss_lansim: 0.1292 (0.1280) loss_contra: 0.0005 (0.0132) time: 2.5428 data: 0.0026 max mem: 31671 Epoch: [8] [1820/5278] eta: 2:26:18 lr: 4.0505489758132804e-05 loss: 0.1028 (0.1199) loss_seg: 0.1085 (0.1293) loss_lansim: 0.1301 (0.1281) loss_contra: 0.0006 (0.0133) time: 2.5371 data: 0.0026 max mem: 31671 Epoch: [8] [1830/5278] eta: 2:25:52 lr: 4.0503307800935e-05 loss: 0.0980 (0.1199) loss_seg: 0.1078 (0.1292) loss_lansim: 0.1309 (0.1283) loss_contra: 0.0006 (0.0132) time: 2.5305 data: 0.0026 max mem: 31671 Epoch: [8] [1840/5278] eta: 2:25:26 lr: 4.050112583067664e-05 loss: 0.0970 (0.1197) loss_seg: 0.1041 (0.1290) loss_lansim: 0.1309 (0.1283) loss_contra: 0.0006 (0.0134) time: 2.5271 data: 0.0026 max mem: 31671 Epoch: [8] [1850/5278] eta: 2:25:01 lr: 4.049894384735684e-05 loss: 0.0970 (0.1197) loss_seg: 0.1047 (0.1291) loss_lansim: 0.1313 (0.1284) loss_contra: 0.0006 (0.0134) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [8] [1860/5278] eta: 2:24:35 lr: 4.0496761850974756e-05 loss: 0.0984 (0.1199) loss_seg: 0.1082 (0.1293) loss_lansim: 0.1356 (0.1285) loss_contra: 0.0004 (0.0135) time: 2.5221 data: 0.0026 max mem: 31671 Epoch: [8] [1870/5278] eta: 2:24:10 lr: 4.049457984152952e-05 loss: 0.1097 (0.1201) loss_seg: 0.1186 (0.1295) loss_lansim: 0.1358 (0.1286) loss_contra: 0.0006 (0.0134) time: 2.5215 data: 0.0026 max mem: 31671 Epoch: [8] [1880/5278] eta: 2:23:44 lr: 4.0492397819020284e-05 loss: 0.1097 (0.1200) loss_seg: 0.1202 (0.1295) loss_lansim: 0.1366 (0.1287) loss_contra: 0.0006 (0.0134) time: 2.5216 data: 0.0026 max mem: 31671 Epoch: [8] [1890/5278] eta: 2:23:19 lr: 4.049021578344618e-05 loss: 0.1084 (0.1199) loss_seg: 0.1162 (0.1293) loss_lansim: 0.1377 (0.1287) loss_contra: 0.0007 (0.0134) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [8] [1900/5278] eta: 2:22:54 lr: 4.048803373480634e-05 loss: 0.1097 (0.1199) loss_seg: 0.1162 (0.1293) loss_lansim: 0.1377 (0.1289) loss_contra: 0.0006 (0.0137) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [8] [1910/5278] eta: 2:22:29 lr: 4.048585167309991e-05 loss: 0.1097 (0.1197) loss_seg: 0.1157 (0.1292) loss_lansim: 0.1388 (0.1289) loss_contra: 0.0007 (0.0138) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [8] [1920/5278] eta: 2:22:03 lr: 4.048366959832604e-05 loss: 0.1102 (0.1197) loss_seg: 0.1168 (0.1291) loss_lansim: 0.1377 (0.1289) loss_contra: 0.0006 (0.0137) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [8] [1930/5278] eta: 2:21:39 lr: 4.0481487510483846e-05 loss: 0.1104 (0.1199) loss_seg: 0.1202 (0.1293) loss_lansim: 0.1357 (0.1289) loss_contra: 0.0006 (0.0137) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [8] [1940/5278] eta: 2:21:13 lr: 4.0479305409572486e-05 loss: 0.1171 (0.1198) loss_seg: 0.1289 (0.1293) loss_lansim: 0.1352 (0.1289) loss_contra: 0.0004 (0.0136) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [8] [1950/5278] eta: 2:20:48 lr: 4.047712329559109e-05 loss: 0.1151 (0.1198) loss_seg: 0.1254 (0.1293) loss_lansim: 0.1352 (0.1290) loss_contra: 0.0005 (0.0136) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [8] [1960/5278] eta: 2:20:23 lr: 4.04749411685388e-05 loss: 0.1104 (0.1200) loss_seg: 0.1209 (0.1295) loss_lansim: 0.1345 (0.1290) loss_contra: 0.0005 (0.0135) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [8] [1970/5278] eta: 2:19:58 lr: 4.047275902841476e-05 loss: 0.1090 (0.1200) loss_seg: 0.1157 (0.1295) loss_lansim: 0.1345 (0.1291) loss_contra: 0.0004 (0.0134) time: 2.5509 data: 0.0025 max mem: 31671 Epoch: [8] [1980/5278] eta: 2:19:32 lr: 4.047057687521809e-05 loss: 0.1077 (0.1199) loss_seg: 0.1137 (0.1294) loss_lansim: 0.1339 (0.1291) loss_contra: 0.0004 (0.0135) time: 2.5489 data: 0.0025 max mem: 31671 Epoch: [8] [1990/5278] eta: 2:19:07 lr: 4.0468394708947946e-05 loss: 0.1104 (0.1200) loss_seg: 0.1157 (0.1295) loss_lansim: 0.1339 (0.1290) loss_contra: 0.0004 (0.0135) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [8] [2000/5278] eta: 2:18:43 lr: 4.046621252960346e-05 loss: 0.1072 (0.1199) loss_seg: 0.1135 (0.1293) loss_lansim: 0.1337 (0.1290) loss_contra: 0.0004 (0.0134) time: 2.5600 data: 0.0025 max mem: 31671 Epoch: [8] [2010/5278] eta: 2:18:19 lr: 4.046403033718378e-05 loss: 0.1077 (0.1198) loss_seg: 0.1135 (0.1293) loss_lansim: 0.1318 (0.1290) loss_contra: 0.0003 (0.0133) time: 2.5604 data: 0.0025 max mem: 31671 Epoch: [8] [2020/5278] eta: 2:17:54 lr: 4.0461848131688033e-05 loss: 0.1099 (0.1198) loss_seg: 0.1185 (0.1292) loss_lansim: 0.1337 (0.1290) loss_contra: 0.0003 (0.0133) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [8] [2030/5278] eta: 2:17:29 lr: 4.045966591311536e-05 loss: 0.1062 (0.1197) loss_seg: 0.1127 (0.1291) loss_lansim: 0.1299 (0.1290) loss_contra: 0.0002 (0.0132) time: 2.5633 data: 0.0025 max mem: 31671 Epoch: [8] [2040/5278] eta: 2:17:03 lr: 4.045748368146489e-05 loss: 0.1047 (0.1196) loss_seg: 0.1094 (0.1291) loss_lansim: 0.1304 (0.1291) loss_contra: 0.0002 (0.0133) time: 2.5661 data: 0.0025 max mem: 31671 Epoch: [8] [2050/5278] eta: 2:16:38 lr: 4.045530143673578e-05 loss: 0.1062 (0.1198) loss_seg: 0.1094 (0.1292) loss_lansim: 0.1304 (0.1292) loss_contra: 0.0002 (0.0133) time: 2.5617 data: 0.0025 max mem: 31671 Epoch: [8] [2060/5278] eta: 2:16:13 lr: 4.045311917892716e-05 loss: 0.1009 (0.1196) loss_seg: 0.1057 (0.1291) loss_lansim: 0.1304 (0.1292) loss_contra: 0.0002 (0.0132) time: 2.5575 data: 0.0026 max mem: 31671 Epoch: [8] [2070/5278] eta: 2:15:47 lr: 4.045093690803815e-05 loss: 0.0996 (0.1196) loss_seg: 0.1033 (0.1290) loss_lansim: 0.1299 (0.1292) loss_contra: 0.0002 (0.0132) time: 2.5562 data: 0.0026 max mem: 31671 Epoch: [8] [2080/5278] eta: 2:15:22 lr: 4.0448754624067915e-05 loss: 0.1031 (0.1197) loss_seg: 0.1087 (0.1292) loss_lansim: 0.1301 (0.1292) loss_contra: 0.0002 (0.0131) time: 2.5605 data: 0.0025 max mem: 31671 Epoch: [8] [2090/5278] eta: 2:14:57 lr: 4.044657232701557e-05 loss: 0.0985 (0.1196) loss_seg: 0.1028 (0.1291) loss_lansim: 0.1294 (0.1292) loss_contra: 0.0002 (0.0131) time: 2.5608 data: 0.0026 max mem: 31671 Epoch: [8] [2100/5278] eta: 2:14:30 lr: 4.044439001688028e-05 loss: 0.1031 (0.1197) loss_seg: 0.1105 (0.1292) loss_lansim: 0.1313 (0.1293) loss_contra: 0.0001 (0.0130) time: 2.5440 data: 0.0026 max mem: 31671 Epoch: [8] [2110/5278] eta: 2:14:05 lr: 4.044220769366115e-05 loss: 0.1009 (0.1196) loss_seg: 0.1083 (0.1291) loss_lansim: 0.1317 (0.1294) loss_contra: 0.0001 (0.0130) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [8] [2120/5278] eta: 2:13:39 lr: 4.044002535735733e-05 loss: 0.1031 (0.1198) loss_seg: 0.1104 (0.1293) loss_lansim: 0.1349 (0.1294) loss_contra: 0.0002 (0.0130) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [8] [2130/5278] eta: 2:13:14 lr: 4.043784300796797e-05 loss: 0.1068 (0.1199) loss_seg: 0.1115 (0.1294) loss_lansim: 0.1367 (0.1295) loss_contra: 0.0004 (0.0129) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [8] [2140/5278] eta: 2:12:48 lr: 4.0435660645492185e-05 loss: 0.1076 (0.1198) loss_seg: 0.1178 (0.1293) loss_lansim: 0.1368 (0.1296) loss_contra: 0.0004 (0.0129) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [8] [2150/5278] eta: 2:12:22 lr: 4.0433478269929124e-05 loss: 0.1064 (0.1198) loss_seg: 0.1115 (0.1293) loss_lansim: 0.1364 (0.1296) loss_contra: 0.0004 (0.0129) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [8] [2160/5278] eta: 2:11:58 lr: 4.043129588127793e-05 loss: 0.1102 (0.1198) loss_seg: 0.1221 (0.1293) loss_lansim: 0.1359 (0.1296) loss_contra: 0.0004 (0.0128) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [8] [2170/5278] eta: 2:11:32 lr: 4.042911347953772e-05 loss: 0.1158 (0.1198) loss_seg: 0.1225 (0.1293) loss_lansim: 0.1349 (0.1296) loss_contra: 0.0004 (0.0128) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [8] [2180/5278] eta: 2:11:08 lr: 4.042693106470765e-05 loss: 0.1076 (0.1197) loss_seg: 0.1174 (0.1292) loss_lansim: 0.1331 (0.1296) loss_contra: 0.0005 (0.0128) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [8] [2190/5278] eta: 2:10:42 lr: 4.042474863678684e-05 loss: 0.1076 (0.1196) loss_seg: 0.1175 (0.1291) loss_lansim: 0.1322 (0.1295) loss_contra: 0.0005 (0.0127) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [8] [2200/5278] eta: 2:10:16 lr: 4.042256619577444e-05 loss: 0.1061 (0.1195) loss_seg: 0.1150 (0.1290) loss_lansim: 0.1294 (0.1294) loss_contra: 0.0005 (0.0127) time: 2.5411 data: 0.0025 max mem: 31671 Epoch: [8] [2210/5278] eta: 2:09:50 lr: 4.0420383741669574e-05 loss: 0.1061 (0.1194) loss_seg: 0.1150 (0.1289) loss_lansim: 0.1276 (0.1294) loss_contra: 0.0005 (0.0127) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [8] [2220/5278] eta: 2:09:25 lr: 4.041820127447139e-05 loss: 0.1050 (0.1194) loss_seg: 0.1144 (0.1289) loss_lansim: 0.1247 (0.1293) loss_contra: 0.0004 (0.0126) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [8] [2230/5278] eta: 2:08:59 lr: 4.041601879417902e-05 loss: 0.1050 (0.1194) loss_seg: 0.1144 (0.1289) loss_lansim: 0.1216 (0.1293) loss_contra: 0.0004 (0.0126) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [8] [2240/5278] eta: 2:08:35 lr: 4.04138363007916e-05 loss: 0.1047 (0.1194) loss_seg: 0.1114 (0.1289) loss_lansim: 0.1206 (0.1293) loss_contra: 0.0004 (0.0125) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [8] [2250/5278] eta: 2:08:11 lr: 4.041165379430826e-05 loss: 0.1019 (0.1195) loss_seg: 0.1109 (0.1290) loss_lansim: 0.1170 (0.1292) loss_contra: 0.0003 (0.0125) time: 2.5579 data: 0.0025 max mem: 31671 Epoch: [8] [2260/5278] eta: 2:07:44 lr: 4.040947127472814e-05 loss: 0.1040 (0.1196) loss_seg: 0.1109 (0.1291) loss_lansim: 0.1159 (0.1292) loss_contra: 0.0003 (0.0124) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [8] [2270/5278] eta: 2:07:19 lr: 4.040728874205037e-05 loss: 0.1019 (0.1197) loss_seg: 0.1087 (0.1292) loss_lansim: 0.1144 (0.1292) loss_contra: 0.0003 (0.0124) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [8] [2280/5278] eta: 2:06:55 lr: 4.0405106196274095e-05 loss: 0.1047 (0.1197) loss_seg: 0.1130 (0.1292) loss_lansim: 0.1144 (0.1291) loss_contra: 0.0003 (0.0124) time: 2.5485 data: 0.0025 max mem: 31671 Epoch: [8] [2290/5278] eta: 2:06:30 lr: 4.040292363739844e-05 loss: 0.1047 (0.1197) loss_seg: 0.1130 (0.1292) loss_lansim: 0.1168 (0.1291) loss_contra: 0.0003 (0.0124) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [8] [2300/5278] eta: 2:06:04 lr: 4.040074106542255e-05 loss: 0.1047 (0.1197) loss_seg: 0.1130 (0.1292) loss_lansim: 0.1190 (0.1291) loss_contra: 0.0004 (0.0125) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [8] [2310/5278] eta: 2:05:38 lr: 4.0398558480345555e-05 loss: 0.1052 (0.1197) loss_seg: 0.1162 (0.1292) loss_lansim: 0.1199 (0.1291) loss_contra: 0.0003 (0.0124) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [8] [2320/5278] eta: 2:05:13 lr: 4.039637588216659e-05 loss: 0.1091 (0.1198) loss_seg: 0.1206 (0.1293) loss_lansim: 0.1192 (0.1291) loss_contra: 0.0003 (0.0124) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [8] [2330/5278] eta: 2:04:47 lr: 4.039419327088479e-05 loss: 0.1103 (0.1201) loss_seg: 0.1224 (0.1296) loss_lansim: 0.1215 (0.1291) loss_contra: 0.0002 (0.0123) time: 2.5538 data: 0.0025 max mem: 31671 Epoch: [8] [2340/5278] eta: 2:04:22 lr: 4.039201064649929e-05 loss: 0.1091 (0.1201) loss_seg: 0.1206 (0.1296) loss_lansim: 0.1219 (0.1291) loss_contra: 0.0003 (0.0123) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [8] [2350/5278] eta: 2:03:56 lr: 4.0389828009009226e-05 loss: 0.1109 (0.1201) loss_seg: 0.1231 (0.1296) loss_lansim: 0.1229 (0.1291) loss_contra: 0.0003 (0.0124) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [8] [2360/5278] eta: 2:03:30 lr: 4.038764535841373e-05 loss: 0.1067 (0.1200) loss_seg: 0.1163 (0.1295) loss_lansim: 0.1247 (0.1291) loss_contra: 0.0005 (0.0126) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [8] [2370/5278] eta: 2:03:05 lr: 4.038546269471193e-05 loss: 0.1018 (0.1199) loss_seg: 0.1129 (0.1294) loss_lansim: 0.1250 (0.1291) loss_contra: 0.0005 (0.0126) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [8] [2380/5278] eta: 2:02:39 lr: 4.038328001790297e-05 loss: 0.0973 (0.1198) loss_seg: 0.1076 (0.1293) loss_lansim: 0.1250 (0.1291) loss_contra: 0.0003 (0.0125) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [8] [2390/5278] eta: 2:02:14 lr: 4.038109732798599e-05 loss: 0.0978 (0.1198) loss_seg: 0.1077 (0.1294) loss_lansim: 0.1263 (0.1290) loss_contra: 0.0003 (0.0128) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [8] [2400/5278] eta: 2:01:49 lr: 4.0378914624960105e-05 loss: 0.0978 (0.1198) loss_seg: 0.1077 (0.1293) loss_lansim: 0.1247 (0.1290) loss_contra: 0.0003 (0.0128) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [8] [2410/5278] eta: 2:01:23 lr: 4.037673190882447e-05 loss: 0.0947 (0.1197) loss_seg: 0.1047 (0.1292) loss_lansim: 0.1250 (0.1289) loss_contra: 0.0003 (0.0127) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [8] [2420/5278] eta: 2:00:57 lr: 4.03745491795782e-05 loss: 0.0904 (0.1196) loss_seg: 0.0987 (0.1291) loss_lansim: 0.1263 (0.1289) loss_contra: 0.0003 (0.0127) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [8] [2430/5278] eta: 2:00:31 lr: 4.037236643722044e-05 loss: 0.0946 (0.1196) loss_seg: 0.1003 (0.1291) loss_lansim: 0.1226 (0.1288) loss_contra: 0.0003 (0.0126) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [8] [2440/5278] eta: 2:00:06 lr: 4.0370183681750326e-05 loss: 0.0956 (0.1197) loss_seg: 0.1038 (0.1292) loss_lansim: 0.1219 (0.1288) loss_contra: 0.0003 (0.0126) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [8] [2450/5278] eta: 1:59:41 lr: 4.036800091316697e-05 loss: 0.0957 (0.1197) loss_seg: 0.1039 (0.1292) loss_lansim: 0.1208 (0.1287) loss_contra: 0.0003 (0.0126) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [8] [2460/5278] eta: 1:59:16 lr: 4.036581813146954e-05 loss: 0.0977 (0.1197) loss_seg: 0.1062 (0.1292) loss_lansim: 0.1189 (0.1286) loss_contra: 0.0002 (0.0126) time: 2.5330 data: 0.0026 max mem: 31671 Epoch: [8] [2470/5278] eta: 1:58:50 lr: 4.036363533665714e-05 loss: 0.0977 (0.1197) loss_seg: 0.1062 (0.1293) loss_lansim: 0.1169 (0.1286) loss_contra: 0.0002 (0.0125) time: 2.5291 data: 0.0025 max mem: 31671 Epoch: [8] [2480/5278] eta: 1:58:25 lr: 4.0361452528728915e-05 loss: 0.1004 (0.1198) loss_seg: 0.1105 (0.1293) loss_lansim: 0.1159 (0.1285) loss_contra: 0.0003 (0.0125) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [8] [2490/5278] eta: 1:57:59 lr: 4.0359269707684e-05 loss: 0.0992 (0.1196) loss_seg: 0.1071 (0.1291) loss_lansim: 0.1127 (0.1284) loss_contra: 0.0002 (0.0125) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [8] [2500/5278] eta: 1:57:33 lr: 4.035708687352152e-05 loss: 0.1020 (0.1196) loss_seg: 0.1098 (0.1291) loss_lansim: 0.1131 (0.1284) loss_contra: 0.0002 (0.0127) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [8] [2510/5278] eta: 1:57:09 lr: 4.035490402624061e-05 loss: 0.1004 (0.1195) loss_seg: 0.1082 (0.1290) loss_lansim: 0.1148 (0.1284) loss_contra: 0.0002 (0.0127) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [8] [2520/5278] eta: 1:56:43 lr: 4.035272116584042e-05 loss: 0.1051 (0.1196) loss_seg: 0.1132 (0.1290) loss_lansim: 0.1160 (0.1284) loss_contra: 0.0002 (0.0127) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [8] [2530/5278] eta: 1:56:17 lr: 4.035053829232006e-05 loss: 0.1021 (0.1196) loss_seg: 0.1117 (0.1291) loss_lansim: 0.1170 (0.1284) loss_contra: 0.0003 (0.0127) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [8] [2540/5278] eta: 1:55:52 lr: 4.034835540567867e-05 loss: 0.1020 (0.1197) loss_seg: 0.1112 (0.1291) loss_lansim: 0.1186 (0.1284) loss_contra: 0.0004 (0.0127) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [8] [2550/5278] eta: 1:55:26 lr: 4.034617250591538e-05 loss: 0.1020 (0.1196) loss_seg: 0.1098 (0.1290) loss_lansim: 0.1186 (0.1284) loss_contra: 0.0004 (0.0126) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [8] [2560/5278] eta: 1:55:01 lr: 4.0343989593029324e-05 loss: 0.1052 (0.1197) loss_seg: 0.1117 (0.1291) loss_lansim: 0.1186 (0.1284) loss_contra: 0.0004 (0.0126) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [8] [2570/5278] eta: 1:54:35 lr: 4.034180666701964e-05 loss: 0.1082 (0.1197) loss_seg: 0.1156 (0.1292) loss_lansim: 0.1187 (0.1283) loss_contra: 0.0004 (0.0126) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [8] [2580/5278] eta: 1:54:10 lr: 4.033962372788545e-05 loss: 0.1076 (0.1197) loss_seg: 0.1133 (0.1291) loss_lansim: 0.1189 (0.1282) loss_contra: 0.0004 (0.0126) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [8] [2590/5278] eta: 1:53:45 lr: 4.0337440775625895e-05 loss: 0.1106 (0.1198) loss_seg: 0.1156 (0.1292) loss_lansim: 0.1190 (0.1282) loss_contra: 0.0005 (0.0126) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [8] [2600/5278] eta: 1:53:20 lr: 4.033525781024011e-05 loss: 0.1106 (0.1198) loss_seg: 0.1156 (0.1293) loss_lansim: 0.1186 (0.1282) loss_contra: 0.0005 (0.0126) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [8] [2610/5278] eta: 1:52:55 lr: 4.033307483172721e-05 loss: 0.1115 (0.1198) loss_seg: 0.1193 (0.1293) loss_lansim: 0.1176 (0.1281) loss_contra: 0.0008 (0.0127) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [8] [2620/5278] eta: 1:52:29 lr: 4.033089184008634e-05 loss: 0.1069 (0.1198) loss_seg: 0.1150 (0.1293) loss_lansim: 0.1165 (0.1280) loss_contra: 0.0006 (0.0126) time: 2.5350 data: 0.0024 max mem: 31671 Epoch: [8] [2630/5278] eta: 1:52:04 lr: 4.032870883531663e-05 loss: 0.1119 (0.1199) loss_seg: 0.1193 (0.1294) loss_lansim: 0.1146 (0.1280) loss_contra: 0.0008 (0.0127) time: 2.5452 data: 0.0024 max mem: 31671 Epoch: [8] [2640/5278] eta: 1:51:38 lr: 4.03265258174172e-05 loss: 0.1119 (0.1200) loss_seg: 0.1165 (0.1294) loss_lansim: 0.1113 (0.1279) loss_contra: 0.0008 (0.0127) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [8] [2650/5278] eta: 1:51:13 lr: 4.03243427863872e-05 loss: 0.1139 (0.1199) loss_seg: 0.1238 (0.1294) loss_lansim: 0.1110 (0.1279) loss_contra: 0.0006 (0.0127) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [8] [2660/5278] eta: 1:50:47 lr: 4.032215974222575e-05 loss: 0.1052 (0.1198) loss_seg: 0.1150 (0.1293) loss_lansim: 0.1110 (0.1278) loss_contra: 0.0006 (0.0127) time: 2.5406 data: 0.0024 max mem: 31671 Epoch: [8] [2670/5278] eta: 1:50:22 lr: 4.0319976684931984e-05 loss: 0.1050 (0.1199) loss_seg: 0.1147 (0.1293) loss_lansim: 0.1110 (0.1278) loss_contra: 0.0006 (0.0126) time: 2.5461 data: 0.0024 max mem: 31671 Epoch: [8] [2680/5278] eta: 1:49:57 lr: 4.0317793614505025e-05 loss: 0.1052 (0.1199) loss_seg: 0.1150 (0.1294) loss_lansim: 0.1110 (0.1277) loss_contra: 0.0006 (0.0126) time: 2.5486 data: 0.0024 max mem: 31671 Epoch: [8] [2690/5278] eta: 1:49:32 lr: 4.031561053094402e-05 loss: 0.1052 (0.1199) loss_seg: 0.1150 (0.1293) loss_lansim: 0.1114 (0.1277) loss_contra: 0.0004 (0.0126) time: 2.5402 data: 0.0024 max mem: 31671 Epoch: [8] [2700/5278] eta: 1:49:06 lr: 4.031342743424808e-05 loss: 0.1103 (0.1199) loss_seg: 0.1163 (0.1294) loss_lansim: 0.1112 (0.1277) loss_contra: 0.0004 (0.0126) time: 2.5396 data: 0.0024 max mem: 31671 Epoch: [8] [2710/5278] eta: 1:48:41 lr: 4.031124432441636e-05 loss: 0.1121 (0.1199) loss_seg: 0.1165 (0.1294) loss_lansim: 0.1130 (0.1276) loss_contra: 0.0004 (0.0126) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [8] [2720/5278] eta: 1:48:15 lr: 4.0309061201447965e-05 loss: 0.1119 (0.1199) loss_seg: 0.1166 (0.1293) loss_lansim: 0.1152 (0.1276) loss_contra: 0.0002 (0.0125) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [8] [2730/5278] eta: 1:47:50 lr: 4.0306878065342044e-05 loss: 0.1052 (0.1198) loss_seg: 0.1147 (0.1292) loss_lansim: 0.1152 (0.1276) loss_contra: 0.0002 (0.0125) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [8] [2740/5278] eta: 1:47:24 lr: 4.030469491609772e-05 loss: 0.1038 (0.1198) loss_seg: 0.1147 (0.1292) loss_lansim: 0.1176 (0.1276) loss_contra: 0.0002 (0.0125) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [8] [2750/5278] eta: 1:46:59 lr: 4.030251175371412e-05 loss: 0.1032 (0.1198) loss_seg: 0.1144 (0.1292) loss_lansim: 0.1159 (0.1275) loss_contra: 0.0002 (0.0126) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [8] [2760/5278] eta: 1:46:33 lr: 4.0300328578190376e-05 loss: 0.1083 (0.1198) loss_seg: 0.1151 (0.1292) loss_lansim: 0.1169 (0.1275) loss_contra: 0.0002 (0.0125) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [8] [2770/5278] eta: 1:46:08 lr: 4.029814538952563e-05 loss: 0.1038 (0.1197) loss_seg: 0.1146 (0.1291) loss_lansim: 0.1150 (0.1274) loss_contra: 0.0001 (0.0125) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [8] [2780/5278] eta: 1:45:43 lr: 4.0295962187718986e-05 loss: 0.1038 (0.1197) loss_seg: 0.1146 (0.1291) loss_lansim: 0.1143 (0.1274) loss_contra: 0.0002 (0.0125) time: 2.5380 data: 0.0026 max mem: 31671 Epoch: [8] [2790/5278] eta: 1:45:18 lr: 4.02937789727696e-05 loss: 0.1032 (0.1197) loss_seg: 0.1110 (0.1291) loss_lansim: 0.1150 (0.1273) loss_contra: 0.0002 (0.0125) time: 2.5436 data: 0.0026 max mem: 31671 Epoch: [8] [2800/5278] eta: 1:44:52 lr: 4.029159574467658e-05 loss: 0.1032 (0.1198) loss_seg: 0.1110 (0.1292) loss_lansim: 0.1150 (0.1273) loss_contra: 0.0002 (0.0124) time: 2.5322 data: 0.0026 max mem: 31671 Epoch: [8] [2810/5278] eta: 1:44:26 lr: 4.028941250343908e-05 loss: 0.1038 (0.1198) loss_seg: 0.1151 (0.1293) loss_lansim: 0.1129 (0.1272) loss_contra: 0.0002 (0.0124) time: 2.5324 data: 0.0026 max mem: 31671 Epoch: [8] [2820/5278] eta: 1:44:01 lr: 4.028722924905621e-05 loss: 0.1075 (0.1199) loss_seg: 0.1182 (0.1293) loss_lansim: 0.1122 (0.1272) loss_contra: 0.0002 (0.0124) time: 2.5332 data: 0.0026 max mem: 31671 Epoch: [8] [2830/5278] eta: 1:43:35 lr: 4.02850459815271e-05 loss: 0.1046 (0.1198) loss_seg: 0.1160 (0.1292) loss_lansim: 0.1120 (0.1272) loss_contra: 0.0002 (0.0124) time: 2.5272 data: 0.0026 max mem: 31671 Epoch: [8] [2840/5278] eta: 1:43:10 lr: 4.02828627008509e-05 loss: 0.1046 (0.1198) loss_seg: 0.1160 (0.1292) loss_lansim: 0.1124 (0.1271) loss_contra: 0.0003 (0.0123) time: 2.5301 data: 0.0026 max mem: 31671 Epoch: [8] [2850/5278] eta: 1:42:44 lr: 4.028067940702671e-05 loss: 0.1083 (0.1198) loss_seg: 0.1197 (0.1293) loss_lansim: 0.1128 (0.1271) loss_contra: 0.0002 (0.0123) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [8] [2860/5278] eta: 1:42:19 lr: 4.027849610005367e-05 loss: 0.1082 (0.1198) loss_seg: 0.1182 (0.1292) loss_lansim: 0.1141 (0.1271) loss_contra: 0.0002 (0.0123) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [8] [2870/5278] eta: 1:41:54 lr: 4.027631277993092e-05 loss: 0.1082 (0.1198) loss_seg: 0.1182 (0.1292) loss_lansim: 0.1149 (0.1270) loss_contra: 0.0003 (0.0122) time: 2.5383 data: 0.0026 max mem: 31671 Epoch: [8] [2880/5278] eta: 1:41:28 lr: 4.027412944665758e-05 loss: 0.1082 (0.1198) loss_seg: 0.1200 (0.1292) loss_lansim: 0.1148 (0.1270) loss_contra: 0.0003 (0.0122) time: 2.5335 data: 0.0026 max mem: 31671 Epoch: [8] [2890/5278] eta: 1:41:03 lr: 4.027194610023277e-05 loss: 0.1079 (0.1198) loss_seg: 0.1198 (0.1292) loss_lansim: 0.1141 (0.1269) loss_contra: 0.0002 (0.0121) time: 2.5283 data: 0.0026 max mem: 31671 Epoch: [8] [2900/5278] eta: 1:40:37 lr: 4.026976274065564e-05 loss: 0.1076 (0.1199) loss_seg: 0.1182 (0.1294) loss_lansim: 0.1145 (0.1269) loss_contra: 0.0002 (0.0121) time: 2.5341 data: 0.0026 max mem: 31671 Epoch: [8] [2910/5278] eta: 1:40:12 lr: 4.026757936792529e-05 loss: 0.1076 (0.1199) loss_seg: 0.1162 (0.1294) loss_lansim: 0.1147 (0.1268) loss_contra: 0.0002 (0.0122) time: 2.5386 data: 0.0026 max mem: 31671 Epoch: [8] [2920/5278] eta: 1:39:47 lr: 4.0265395982040874e-05 loss: 0.1076 (0.1199) loss_seg: 0.1162 (0.1294) loss_lansim: 0.1147 (0.1268) loss_contra: 0.0002 (0.0122) time: 2.5359 data: 0.0026 max mem: 31671 Epoch: [8] [2930/5278] eta: 1:39:21 lr: 4.0263212583001506e-05 loss: 0.1079 (0.1199) loss_seg: 0.1163 (0.1293) loss_lansim: 0.1141 (0.1267) loss_contra: 0.0002 (0.0121) time: 2.5364 data: 0.0026 max mem: 31671 Epoch: [8] [2940/5278] eta: 1:38:55 lr: 4.026102917080633e-05 loss: 0.1086 (0.1200) loss_seg: 0.1198 (0.1295) loss_lansim: 0.1141 (0.1267) loss_contra: 0.0002 (0.0121) time: 2.5351 data: 0.0026 max mem: 31671 Epoch: [8] [2950/5278] eta: 1:38:30 lr: 4.025884574545445e-05 loss: 0.1079 (0.1201) loss_seg: 0.1163 (0.1295) loss_lansim: 0.1141 (0.1267) loss_contra: 0.0002 (0.0121) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [8] [2960/5278] eta: 1:38:05 lr: 4.0256662306945e-05 loss: 0.1086 (0.1201) loss_seg: 0.1198 (0.1296) loss_lansim: 0.1137 (0.1266) loss_contra: 0.0002 (0.0121) time: 2.5350 data: 0.0026 max mem: 31671 Epoch: [8] [2970/5278] eta: 1:37:39 lr: 4.025447885527713e-05 loss: 0.1086 (0.1201) loss_seg: 0.1198 (0.1295) loss_lansim: 0.1134 (0.1266) loss_contra: 0.0002 (0.0121) time: 2.5291 data: 0.0026 max mem: 31671 Epoch: [8] [2980/5278] eta: 1:37:14 lr: 4.025229539044995e-05 loss: 0.1096 (0.1202) loss_seg: 0.1216 (0.1297) loss_lansim: 0.1138 (0.1266) loss_contra: 0.0003 (0.0121) time: 2.5355 data: 0.0026 max mem: 31671 Epoch: [8] [2990/5278] eta: 1:36:48 lr: 4.0250111912462576e-05 loss: 0.1105 (0.1202) loss_seg: 0.1227 (0.1296) loss_lansim: 0.1147 (0.1265) loss_contra: 0.0004 (0.0125) time: 2.5281 data: 0.0026 max mem: 31671 Epoch: [8] [3000/5278] eta: 1:36:22 lr: 4.0247928421314155e-05 loss: 0.1105 (0.1201) loss_seg: 0.1226 (0.1296) loss_lansim: 0.1147 (0.1265) loss_contra: 0.0004 (0.0124) time: 2.5249 data: 0.0026 max mem: 31671 Epoch: [8] [3010/5278] eta: 1:35:57 lr: 4.0245744917003805e-05 loss: 0.1073 (0.1201) loss_seg: 0.1189 (0.1295) loss_lansim: 0.1141 (0.1265) loss_contra: 0.0003 (0.0124) time: 2.5233 data: 0.0026 max mem: 31671 Epoch: [8] [3020/5278] eta: 1:35:32 lr: 4.0243561399530664e-05 loss: 0.1073 (0.1201) loss_seg: 0.1189 (0.1295) loss_lansim: 0.1148 (0.1264) loss_contra: 0.0003 (0.0124) time: 2.5233 data: 0.0026 max mem: 31671 Epoch: [8] [3030/5278] eta: 1:35:07 lr: 4.0241377868893845e-05 loss: 0.1105 (0.1201) loss_seg: 0.1226 (0.1295) loss_lansim: 0.1165 (0.1264) loss_contra: 0.0003 (0.0124) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [8] [3040/5278] eta: 1:34:41 lr: 4.023919432509249e-05 loss: 0.1166 (0.1202) loss_seg: 0.1231 (0.1297) loss_lansim: 0.1152 (0.1264) loss_contra: 0.0003 (0.0123) time: 2.5345 data: 0.0026 max mem: 31671 Epoch: [8] [3050/5278] eta: 1:34:16 lr: 4.023701076812571e-05 loss: 0.1211 (0.1206) loss_seg: 0.1317 (0.1301) loss_lansim: 0.1152 (0.1263) loss_contra: 0.0002 (0.0123) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [8] [3060/5278] eta: 1:33:51 lr: 4.023482719799264e-05 loss: 0.1213 (0.1206) loss_seg: 0.1317 (0.1301) loss_lansim: 0.1163 (0.1263) loss_contra: 0.0003 (0.0123) time: 2.5399 data: 0.0025 max mem: 31671 Epoch: [8] [3070/5278] eta: 1:33:26 lr: 4.023264361469241e-05 loss: 0.1260 (0.1206) loss_seg: 0.1343 (0.1301) loss_lansim: 0.1159 (0.1263) loss_contra: 0.0003 (0.0124) time: 2.5464 data: 0.0025 max mem: 31671 Epoch: [8] [3080/5278] eta: 1:33:00 lr: 4.023046001822413e-05 loss: 0.1228 (0.1206) loss_seg: 0.1331 (0.1301) loss_lansim: 0.1163 (0.1263) loss_contra: 0.0002 (0.0124) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [8] [3090/5278] eta: 1:32:35 lr: 4.0228276408586945e-05 loss: 0.1234 (0.1206) loss_seg: 0.1331 (0.1301) loss_lansim: 0.1166 (0.1263) loss_contra: 0.0003 (0.0124) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [8] [3100/5278] eta: 1:32:09 lr: 4.022609278577998e-05 loss: 0.1197 (0.1205) loss_seg: 0.1303 (0.1299) loss_lansim: 0.1163 (0.1262) loss_contra: 0.0004 (0.0124) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [8] [3110/5278] eta: 1:31:44 lr: 4.0223909149802355e-05 loss: 0.1211 (0.1205) loss_seg: 0.1331 (0.1300) loss_lansim: 0.1165 (0.1262) loss_contra: 0.0006 (0.0125) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [8] [3120/5278] eta: 1:31:18 lr: 4.022172550065319e-05 loss: 0.1199 (0.1205) loss_seg: 0.1328 (0.1300) loss_lansim: 0.1175 (0.1262) loss_contra: 0.0010 (0.0125) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [8] [3130/5278] eta: 1:30:53 lr: 4.0219541838331624e-05 loss: 0.1197 (0.1206) loss_seg: 0.1303 (0.1300) loss_lansim: 0.1193 (0.1261) loss_contra: 0.0008 (0.0125) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [8] [3140/5278] eta: 1:30:27 lr: 4.0217358162836776e-05 loss: 0.1121 (0.1205) loss_seg: 0.1222 (0.1300) loss_lansim: 0.1181 (0.1261) loss_contra: 0.0009 (0.0124) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [8] [3150/5278] eta: 1:30:01 lr: 4.021517447416777e-05 loss: 0.1052 (0.1204) loss_seg: 0.1129 (0.1299) loss_lansim: 0.1193 (0.1261) loss_contra: 0.0008 (0.0124) time: 2.5332 data: 0.0026 max mem: 31671 Epoch: [8] [3160/5278] eta: 1:29:36 lr: 4.0212990772323735e-05 loss: 0.1052 (0.1205) loss_seg: 0.1161 (0.1299) loss_lansim: 0.1169 (0.1261) loss_contra: 0.0007 (0.0124) time: 2.5153 data: 0.0026 max mem: 31671 Epoch: [8] [3170/5278] eta: 1:29:10 lr: 4.0210807057303795e-05 loss: 0.0965 (0.1204) loss_seg: 0.1059 (0.1299) loss_lansim: 0.1158 (0.1260) loss_contra: 0.0007 (0.0124) time: 2.5052 data: 0.0026 max mem: 31671 Epoch: [8] [3180/5278] eta: 1:28:45 lr: 4.0208623329107085e-05 loss: 0.0978 (0.1204) loss_seg: 0.1059 (0.1299) loss_lansim: 0.1152 (0.1260) loss_contra: 0.0006 (0.0123) time: 2.5155 data: 0.0026 max mem: 31671 Epoch: [8] [3190/5278] eta: 1:28:19 lr: 4.020643958773271e-05 loss: 0.0993 (0.1204) loss_seg: 0.1066 (0.1299) loss_lansim: 0.1148 (0.1259) loss_contra: 0.0005 (0.0123) time: 2.5105 data: 0.0025 max mem: 31671 Epoch: [8] [3200/5278] eta: 1:27:54 lr: 4.020425583317982e-05 loss: 0.1045 (0.1205) loss_seg: 0.1146 (0.1299) loss_lansim: 0.1135 (0.1259) loss_contra: 0.0005 (0.0123) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [8] [3210/5278] eta: 1:27:28 lr: 4.0202072065447514e-05 loss: 0.1044 (0.1204) loss_seg: 0.1115 (0.1299) loss_lansim: 0.1130 (0.1258) loss_contra: 0.0004 (0.0123) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [8] [3220/5278] eta: 1:27:03 lr: 4.0199888284534937e-05 loss: 0.1096 (0.1204) loss_seg: 0.1146 (0.1299) loss_lansim: 0.1106 (0.1258) loss_contra: 0.0004 (0.0123) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [8] [3230/5278] eta: 1:26:38 lr: 4.019770449044121e-05 loss: 0.1102 (0.1204) loss_seg: 0.1161 (0.1299) loss_lansim: 0.1102 (0.1257) loss_contra: 0.0004 (0.0123) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [8] [3240/5278] eta: 1:26:12 lr: 4.019552068316546e-05 loss: 0.1127 (0.1204) loss_seg: 0.1161 (0.1298) loss_lansim: 0.1101 (0.1257) loss_contra: 0.0004 (0.0123) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [8] [3250/5278] eta: 1:25:47 lr: 4.019333686270679e-05 loss: 0.1148 (0.1204) loss_seg: 0.1250 (0.1299) loss_lansim: 0.1081 (0.1256) loss_contra: 0.0004 (0.0122) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [8] [3260/5278] eta: 1:25:21 lr: 4.019115302906436e-05 loss: 0.1133 (0.1203) loss_seg: 0.1193 (0.1297) loss_lansim: 0.1058 (0.1255) loss_contra: 0.0004 (0.0125) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [8] [3270/5278] eta: 1:24:56 lr: 4.0188969182237254e-05 loss: 0.1148 (0.1203) loss_seg: 0.1241 (0.1298) loss_lansim: 0.1045 (0.1254) loss_contra: 0.0004 (0.0124) time: 2.5381 data: 0.0026 max mem: 31671 Epoch: [8] [3280/5278] eta: 1:24:30 lr: 4.018678532222463e-05 loss: 0.1148 (0.1204) loss_seg: 0.1241 (0.1299) loss_lansim: 0.1045 (0.1254) loss_contra: 0.0004 (0.0124) time: 2.5266 data: 0.0026 max mem: 31671 Epoch: [8] [3290/5278] eta: 1:24:05 lr: 4.01846014490256e-05 loss: 0.1168 (0.1204) loss_seg: 0.1267 (0.1299) loss_lansim: 0.1040 (0.1253) loss_contra: 0.0006 (0.0127) time: 2.5294 data: 0.0026 max mem: 31671 Epoch: [8] [3300/5278] eta: 1:23:39 lr: 4.018241756263929e-05 loss: 0.1148 (0.1205) loss_seg: 0.1257 (0.1300) loss_lansim: 0.1038 (0.1252) loss_contra: 0.0006 (0.0127) time: 2.5311 data: 0.0026 max mem: 31671 Epoch: [8] [3310/5278] eta: 1:23:14 lr: 4.018023366306482e-05 loss: 0.1153 (0.1205) loss_seg: 0.1267 (0.1300) loss_lansim: 0.1022 (0.1252) loss_contra: 0.0006 (0.0127) time: 2.5273 data: 0.0026 max mem: 31671 Epoch: [8] [3320/5278] eta: 1:22:48 lr: 4.017804975030131e-05 loss: 0.1153 (0.1206) loss_seg: 0.1261 (0.1302) loss_lansim: 0.1013 (0.1251) loss_contra: 0.0006 (0.0127) time: 2.5199 data: 0.0026 max mem: 31671 Epoch: [8] [3330/5278] eta: 1:22:22 lr: 4.0175865824347894e-05 loss: 0.1141 (0.1207) loss_seg: 0.1241 (0.1302) loss_lansim: 0.1000 (0.1251) loss_contra: 0.0006 (0.0128) time: 2.5162 data: 0.0026 max mem: 31671 Epoch: [8] [3340/5278] eta: 1:21:57 lr: 4.01736818852037e-05 loss: 0.1148 (0.1206) loss_seg: 0.1241 (0.1301) loss_lansim: 0.1001 (0.1250) loss_contra: 0.0005 (0.0128) time: 2.5082 data: 0.0026 max mem: 31671 Epoch: [8] [3350/5278] eta: 1:21:32 lr: 4.0171497932867836e-05 loss: 0.1138 (0.1207) loss_seg: 0.1235 (0.1302) loss_lansim: 0.1022 (0.1249) loss_contra: 0.0005 (0.0128) time: 2.5124 data: 0.0026 max mem: 31671 Epoch: [8] [3360/5278] eta: 1:21:06 lr: 4.016931396733943e-05 loss: 0.1211 (0.1208) loss_seg: 0.1325 (0.1303) loss_lansim: 0.1026 (0.1249) loss_contra: 0.0004 (0.0127) time: 2.5106 data: 0.0026 max mem: 31671 Epoch: [8] [3370/5278] eta: 1:20:40 lr: 4.016712998861761e-05 loss: 0.1214 (0.1208) loss_seg: 0.1327 (0.1303) loss_lansim: 0.1029 (0.1248) loss_contra: 0.0006 (0.0127) time: 2.5063 data: 0.0025 max mem: 31671 Epoch: [8] [3380/5278] eta: 1:20:15 lr: 4.0164945996701496e-05 loss: 0.1211 (0.1208) loss_seg: 0.1277 (0.1303) loss_lansim: 0.1029 (0.1247) loss_contra: 0.0006 (0.0128) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [8] [3390/5278] eta: 1:19:50 lr: 4.016276199159022e-05 loss: 0.1156 (0.1208) loss_seg: 0.1258 (0.1303) loss_lansim: 0.1029 (0.1247) loss_contra: 0.0005 (0.0128) time: 2.5150 data: 0.0025 max mem: 31671 Epoch: [8] [3400/5278] eta: 1:19:25 lr: 4.016057797328289e-05 loss: 0.1156 (0.1208) loss_seg: 0.1239 (0.1303) loss_lansim: 0.1036 (0.1246) loss_contra: 0.0006 (0.0128) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [8] [3410/5278] eta: 1:18:59 lr: 4.0158393941778637e-05 loss: 0.1188 (0.1209) loss_seg: 0.1252 (0.1304) loss_lansim: 0.1046 (0.1246) loss_contra: 0.0004 (0.0128) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [8] [3420/5278] eta: 1:18:34 lr: 4.015620989707659e-05 loss: 0.1138 (0.1209) loss_seg: 0.1221 (0.1305) loss_lansim: 0.1044 (0.1245) loss_contra: 0.0006 (0.0128) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [8] [3430/5278] eta: 1:18:09 lr: 4.015402583917585e-05 loss: 0.1126 (0.1209) loss_seg: 0.1212 (0.1304) loss_lansim: 0.1046 (0.1244) loss_contra: 0.0006 (0.0128) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [8] [3440/5278] eta: 1:17:43 lr: 4.015184176807557e-05 loss: 0.1138 (0.1209) loss_seg: 0.1221 (0.1304) loss_lansim: 0.1047 (0.1244) loss_contra: 0.0006 (0.0127) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [8] [3450/5278] eta: 1:17:18 lr: 4.014965768377484e-05 loss: 0.1094 (0.1208) loss_seg: 0.1183 (0.1304) loss_lansim: 0.1036 (0.1243) loss_contra: 0.0004 (0.0127) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [8] [3460/5278] eta: 1:16:52 lr: 4.014747358627281e-05 loss: 0.1055 (0.1208) loss_seg: 0.1170 (0.1304) loss_lansim: 0.1038 (0.1243) loss_contra: 0.0004 (0.0127) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [8] [3470/5278] eta: 1:16:27 lr: 4.01452894755686e-05 loss: 0.1055 (0.1208) loss_seg: 0.1170 (0.1303) loss_lansim: 0.1044 (0.1242) loss_contra: 0.0003 (0.0126) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [8] [3480/5278] eta: 1:16:01 lr: 4.0143105351661306e-05 loss: 0.1034 (0.1208) loss_seg: 0.1137 (0.1303) loss_lansim: 0.1050 (0.1242) loss_contra: 0.0002 (0.0127) time: 2.5295 data: 0.0026 max mem: 31671 Epoch: [8] [3490/5278] eta: 1:15:36 lr: 4.0140921214550076e-05 loss: 0.1034 (0.1207) loss_seg: 0.1137 (0.1303) loss_lansim: 0.1049 (0.1241) loss_contra: 0.0002 (0.0130) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [8] [3500/5278] eta: 1:15:11 lr: 4.0138737064234015e-05 loss: 0.1034 (0.1208) loss_seg: 0.1137 (0.1303) loss_lansim: 0.1044 (0.1241) loss_contra: 0.0003 (0.0130) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [8] [3510/5278] eta: 1:14:45 lr: 4.013655290071226e-05 loss: 0.1055 (0.1209) loss_seg: 0.1108 (0.1304) loss_lansim: 0.1040 (0.1240) loss_contra: 0.0003 (0.0129) time: 2.5347 data: 0.0026 max mem: 31671 Epoch: [8] [3520/5278] eta: 1:14:21 lr: 4.013436872398393e-05 loss: 0.1074 (0.1209) loss_seg: 0.1183 (0.1304) loss_lansim: 0.1050 (0.1240) loss_contra: 0.0004 (0.0130) time: 2.5439 data: 0.0026 max mem: 31671 Epoch: [8] [3530/5278] eta: 1:13:55 lr: 4.013218453404814e-05 loss: 0.1159 (0.1209) loss_seg: 0.1199 (0.1304) loss_lansim: 0.1070 (0.1240) loss_contra: 0.0005 (0.0130) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [8] [3540/5278] eta: 1:13:29 lr: 4.0130000330904e-05 loss: 0.1159 (0.1209) loss_seg: 0.1199 (0.1304) loss_lansim: 0.1085 (0.1239) loss_contra: 0.0005 (0.0130) time: 2.5368 data: 0.0026 max mem: 31671 Epoch: [8] [3550/5278] eta: 1:13:04 lr: 4.0127816114550665e-05 loss: 0.1208 (0.1211) loss_seg: 0.1289 (0.1306) loss_lansim: 0.1093 (0.1239) loss_contra: 0.0005 (0.0130) time: 2.5434 data: 0.0026 max mem: 31671 Epoch: [8] [3560/5278] eta: 1:12:39 lr: 4.0125631884987225e-05 loss: 0.1211 (0.1211) loss_seg: 0.1291 (0.1306) loss_lansim: 0.1101 (0.1239) loss_contra: 0.0005 (0.0130) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [8] [3570/5278] eta: 1:12:13 lr: 4.0123447642212816e-05 loss: 0.1234 (0.1210) loss_seg: 0.1320 (0.1306) loss_lansim: 0.1108 (0.1238) loss_contra: 0.0005 (0.0130) time: 2.5374 data: 0.0026 max mem: 31671 Epoch: [8] [3580/5278] eta: 1:11:48 lr: 4.0121263386226557e-05 loss: 0.1237 (0.1211) loss_seg: 0.1320 (0.1306) loss_lansim: 0.1116 (0.1238) loss_contra: 0.0006 (0.0130) time: 2.5427 data: 0.0025 max mem: 31671 Epoch: [8] [3590/5278] eta: 1:11:22 lr: 4.011907911702756e-05 loss: 0.1234 (0.1211) loss_seg: 0.1320 (0.1307) loss_lansim: 0.1121 (0.1238) loss_contra: 0.0007 (0.0130) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [8] [3600/5278] eta: 1:10:56 lr: 4.011689483461496e-05 loss: 0.1189 (0.1211) loss_seg: 0.1283 (0.1306) loss_lansim: 0.1121 (0.1237) loss_contra: 0.0005 (0.0130) time: 2.5154 data: 0.0025 max mem: 31671 Epoch: [8] [3610/5278] eta: 1:10:31 lr: 4.0114710538987865e-05 loss: 0.1188 (0.1211) loss_seg: 0.1265 (0.1306) loss_lansim: 0.1135 (0.1237) loss_contra: 0.0007 (0.0129) time: 2.5146 data: 0.0025 max mem: 31671 Epoch: [8] [3620/5278] eta: 1:10:05 lr: 4.01125262301454e-05 loss: 0.1157 (0.1211) loss_seg: 0.1226 (0.1306) loss_lansim: 0.1128 (0.1237) loss_contra: 0.0005 (0.0129) time: 2.4934 data: 0.0025 max mem: 31671 Epoch: [8] [3630/5278] eta: 1:09:39 lr: 4.0110341908086696e-05 loss: 0.1132 (0.1211) loss_seg: 0.1215 (0.1306) loss_lansim: 0.1115 (0.1236) loss_contra: 0.0004 (0.0129) time: 2.4849 data: 0.0026 max mem: 31671 Epoch: [8] [3640/5278] eta: 1:09:13 lr: 4.0108157572810854e-05 loss: 0.1132 (0.1212) loss_seg: 0.1215 (0.1307) loss_lansim: 0.1109 (0.1236) loss_contra: 0.0004 (0.0129) time: 2.4879 data: 0.0025 max mem: 31671 Epoch: [8] [3650/5278] eta: 1:08:48 lr: 4.010597322431701e-05 loss: 0.1078 (0.1212) loss_seg: 0.1151 (0.1307) loss_lansim: 0.1109 (0.1236) loss_contra: 0.0004 (0.0128) time: 2.4699 data: 0.0025 max mem: 31671 Epoch: [8] [3660/5278] eta: 1:08:22 lr: 4.0103788862604273e-05 loss: 0.1052 (0.1211) loss_seg: 0.1140 (0.1306) loss_lansim: 0.1108 (0.1235) loss_contra: 0.0005 (0.0128) time: 2.4661 data: 0.0025 max mem: 31671 Epoch: [8] [3670/5278] eta: 1:07:57 lr: 4.010160448767177e-05 loss: 0.1052 (0.1212) loss_seg: 0.1140 (0.1307) loss_lansim: 0.1099 (0.1235) loss_contra: 0.0004 (0.0128) time: 2.4852 data: 0.0025 max mem: 31671 Epoch: [8] [3680/5278] eta: 1:07:32 lr: 4.0099420099518625e-05 loss: 0.1041 (0.1211) loss_seg: 0.1140 (0.1307) loss_lansim: 0.1087 (0.1235) loss_contra: 0.0003 (0.0128) time: 2.4836 data: 0.0025 max mem: 31671 Epoch: [8] [3690/5278] eta: 1:07:06 lr: 4.009723569814395e-05 loss: 0.1037 (0.1211) loss_seg: 0.1135 (0.1306) loss_lansim: 0.1085 (0.1234) loss_contra: 0.0003 (0.0127) time: 2.4959 data: 0.0025 max mem: 31671 Epoch: [8] [3700/5278] eta: 1:06:41 lr: 4.009505128354686e-05 loss: 0.1052 (0.1212) loss_seg: 0.1151 (0.1307) loss_lansim: 0.1085 (0.1234) loss_contra: 0.0003 (0.0127) time: 2.5011 data: 0.0025 max mem: 31671 Epoch: [8] [3710/5278] eta: 1:06:16 lr: 4.0092866855726484e-05 loss: 0.1041 (0.1212) loss_seg: 0.1151 (0.1307) loss_lansim: 0.1082 (0.1233) loss_contra: 0.0003 (0.0127) time: 2.5043 data: 0.0025 max mem: 31671 Epoch: [8] [3720/5278] eta: 1:05:50 lr: 4.009068241468194e-05 loss: 0.1044 (0.1212) loss_seg: 0.1154 (0.1307) loss_lansim: 0.1068 (0.1232) loss_contra: 0.0003 (0.0127) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [8] [3730/5278] eta: 1:05:25 lr: 4.008849796041235e-05 loss: 0.1040 (0.1211) loss_seg: 0.1147 (0.1306) loss_lansim: 0.1048 (0.1232) loss_contra: 0.0002 (0.0127) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [8] [3740/5278] eta: 1:05:00 lr: 4.008631349291682e-05 loss: 0.1021 (0.1210) loss_seg: 0.1126 (0.1305) loss_lansim: 0.1031 (0.1231) loss_contra: 0.0002 (0.0127) time: 2.5450 data: 0.0025 max mem: 31671 Epoch: [8] [3750/5278] eta: 1:04:34 lr: 4.008412901219449e-05 loss: 0.1011 (0.1210) loss_seg: 0.1121 (0.1306) loss_lansim: 0.1027 (0.1230) loss_contra: 0.0002 (0.0126) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [8] [3760/5278] eta: 1:04:09 lr: 4.008194451824446e-05 loss: 0.1033 (0.1210) loss_seg: 0.1126 (0.1306) loss_lansim: 0.1028 (0.1230) loss_contra: 0.0002 (0.0126) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [8] [3770/5278] eta: 1:03:43 lr: 4.0079760011065855e-05 loss: 0.1039 (0.1211) loss_seg: 0.1126 (0.1307) loss_lansim: 0.1026 (0.1229) loss_contra: 0.0002 (0.0126) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [8] [3780/5278] eta: 1:03:18 lr: 4.0077575490657796e-05 loss: 0.1033 (0.1211) loss_seg: 0.1121 (0.1306) loss_lansim: 0.0988 (0.1229) loss_contra: 0.0002 (0.0126) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [8] [3790/5278] eta: 1:02:53 lr: 4.00753909570194e-05 loss: 0.1039 (0.1210) loss_seg: 0.1126 (0.1306) loss_lansim: 0.1004 (0.1228) loss_contra: 0.0002 (0.0127) time: 2.5400 data: 0.0025 max mem: 31671 Epoch: [8] [3800/5278] eta: 1:02:28 lr: 4.007320641014978e-05 loss: 0.1034 (0.1210) loss_seg: 0.1121 (0.1305) loss_lansim: 0.1011 (0.1228) loss_contra: 0.0001 (0.0126) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [8] [3810/5278] eta: 1:02:02 lr: 4.007102185004807e-05 loss: 0.1044 (0.1210) loss_seg: 0.1148 (0.1305) loss_lansim: 0.1003 (0.1227) loss_contra: 0.0002 (0.0127) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [8] [3820/5278] eta: 1:01:37 lr: 4.006883727671338e-05 loss: 0.1034 (0.1209) loss_seg: 0.1088 (0.1304) loss_lansim: 0.1011 (0.1227) loss_contra: 0.0001 (0.0127) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [8] [3830/5278] eta: 1:01:12 lr: 4.0066652690144816e-05 loss: 0.1052 (0.1209) loss_seg: 0.1148 (0.1305) loss_lansim: 0.1027 (0.1226) loss_contra: 0.0002 (0.0127) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [8] [3840/5278] eta: 1:00:46 lr: 4.006446809034152e-05 loss: 0.1095 (0.1210) loss_seg: 0.1188 (0.1305) loss_lansim: 0.1039 (0.1226) loss_contra: 0.0002 (0.0127) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [8] [3850/5278] eta: 1:00:21 lr: 4.006228347730259e-05 loss: 0.1124 (0.1210) loss_seg: 0.1203 (0.1305) loss_lansim: 0.1039 (0.1226) loss_contra: 0.0002 (0.0127) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [8] [3860/5278] eta: 0:59:55 lr: 4.006009885102715e-05 loss: 0.1106 (0.1210) loss_seg: 0.1185 (0.1305) loss_lansim: 0.1039 (0.1225) loss_contra: 0.0002 (0.0127) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [8] [3870/5278] eta: 0:59:30 lr: 4.005791421151432e-05 loss: 0.1034 (0.1209) loss_seg: 0.1139 (0.1304) loss_lansim: 0.1044 (0.1225) loss_contra: 0.0003 (0.0127) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [8] [3880/5278] eta: 0:59:05 lr: 4.005572955876321e-05 loss: 0.1054 (0.1210) loss_seg: 0.1148 (0.1306) loss_lansim: 0.1071 (0.1225) loss_contra: 0.0002 (0.0127) time: 2.5371 data: 0.0025 max mem: 31671 Epoch: [8] [3890/5278] eta: 0:58:39 lr: 4.0053544892772956e-05 loss: 0.1027 (0.1209) loss_seg: 0.1139 (0.1305) loss_lansim: 0.1069 (0.1224) loss_contra: 0.0002 (0.0129) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [8] [3900/5278] eta: 0:58:14 lr: 4.0051360213542655e-05 loss: 0.1065 (0.1209) loss_seg: 0.1140 (0.1305) loss_lansim: 0.1065 (0.1224) loss_contra: 0.0004 (0.0129) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [8] [3910/5278] eta: 0:57:49 lr: 4.004917552107143e-05 loss: 0.1052 (0.1209) loss_seg: 0.1137 (0.1305) loss_lansim: 0.1065 (0.1223) loss_contra: 0.0004 (0.0129) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [8] [3920/5278] eta: 0:57:23 lr: 4.0046990815358405e-05 loss: 0.1065 (0.1209) loss_seg: 0.1140 (0.1305) loss_lansim: 0.1056 (0.1223) loss_contra: 0.0004 (0.0129) time: 2.5334 data: 0.0025 max mem: 31671 Epoch: [8] [3930/5278] eta: 0:56:58 lr: 4.004480609640269e-05 loss: 0.1109 (0.1209) loss_seg: 0.1141 (0.1304) loss_lansim: 0.1056 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5327 data: 0.0026 max mem: 31671 Epoch: [8] [3940/5278] eta: 0:56:33 lr: 4.004262136420342e-05 loss: 0.1109 (0.1210) loss_seg: 0.1141 (0.1306) loss_lansim: 0.1055 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [8] [3950/5278] eta: 0:56:07 lr: 4.004043661875968e-05 loss: 0.1065 (0.1211) loss_seg: 0.1140 (0.1306) loss_lansim: 0.1072 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [8] [3960/5278] eta: 0:55:42 lr: 4.0038251860070606e-05 loss: 0.1109 (0.1211) loss_seg: 0.1164 (0.1306) loss_lansim: 0.1074 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [8] [3970/5278] eta: 0:55:16 lr: 4.0036067088135314e-05 loss: 0.1128 (0.1211) loss_seg: 0.1230 (0.1307) loss_lansim: 0.1092 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5188 data: 0.0026 max mem: 31671 Epoch: [8] [3980/5278] eta: 0:54:51 lr: 4.0033882302952915e-05 loss: 0.1125 (0.1212) loss_seg: 0.1229 (0.1307) loss_lansim: 0.1119 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [8] [3990/5278] eta: 0:54:26 lr: 4.0031697504522534e-05 loss: 0.1148 (0.1212) loss_seg: 0.1240 (0.1307) loss_lansim: 0.1154 (0.1223) loss_contra: 0.0004 (0.0129) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [8] [4000/5278] eta: 0:54:00 lr: 4.002951269284328e-05 loss: 0.1175 (0.1212) loss_seg: 0.1253 (0.1308) loss_lansim: 0.1174 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [8] [4010/5278] eta: 0:53:35 lr: 4.0027327867914264e-05 loss: 0.1195 (0.1212) loss_seg: 0.1283 (0.1308) loss_lansim: 0.1178 (0.1222) loss_contra: 0.0004 (0.0128) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [8] [4020/5278] eta: 0:53:09 lr: 4.002514302973462e-05 loss: 0.1195 (0.1213) loss_seg: 0.1283 (0.1308) loss_lansim: 0.1178 (0.1222) loss_contra: 0.0004 (0.0128) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [8] [4030/5278] eta: 0:52:44 lr: 4.002295817830344e-05 loss: 0.1230 (0.1213) loss_seg: 0.1303 (0.1308) loss_lansim: 0.1186 (0.1222) loss_contra: 0.0004 (0.0128) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [8] [4040/5278] eta: 0:52:19 lr: 4.002077331361987e-05 loss: 0.1190 (0.1213) loss_seg: 0.1282 (0.1309) loss_lansim: 0.1209 (0.1222) loss_contra: 0.0004 (0.0128) time: 2.5229 data: 0.0025 max mem: 31671 Epoch: [8] [4050/5278] eta: 0:51:53 lr: 4.0018588435683e-05 loss: 0.1125 (0.1213) loss_seg: 0.1248 (0.1309) loss_lansim: 0.1201 (0.1222) loss_contra: 0.0003 (0.0129) time: 2.5254 data: 0.0026 max mem: 31671 Epoch: [8] [4060/5278] eta: 0:51:28 lr: 4.0016403544491955e-05 loss: 0.1175 (0.1213) loss_seg: 0.1302 (0.1309) loss_lansim: 0.1190 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5437 data: 0.0026 max mem: 31671 Epoch: [8] [4070/5278] eta: 0:51:03 lr: 4.0014218640045854e-05 loss: 0.1159 (0.1213) loss_seg: 0.1282 (0.1309) loss_lansim: 0.1200 (0.1222) loss_contra: 0.0004 (0.0129) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [8] [4080/5278] eta: 0:50:38 lr: 4.00120337223438e-05 loss: 0.1159 (0.1214) loss_seg: 0.1282 (0.1310) loss_lansim: 0.1190 (0.1222) loss_contra: 0.0004 (0.0128) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [8] [4090/5278] eta: 0:50:12 lr: 4.000984879138492e-05 loss: 0.1159 (0.1214) loss_seg: 0.1282 (0.1310) loss_lansim: 0.1186 (0.1222) loss_contra: 0.0004 (0.0128) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [8] [4100/5278] eta: 0:49:47 lr: 4.000766384716833e-05 loss: 0.1074 (0.1215) loss_seg: 0.1142 (0.1311) loss_lansim: 0.1188 (0.1222) loss_contra: 0.0003 (0.0128) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [8] [4110/5278] eta: 0:49:21 lr: 4.000547888969314e-05 loss: 0.1074 (0.1215) loss_seg: 0.1142 (0.1311) loss_lansim: 0.1188 (0.1222) loss_contra: 0.0004 (0.0128) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [8] [4120/5278] eta: 0:48:56 lr: 4.000329391895846e-05 loss: 0.1074 (0.1214) loss_seg: 0.1142 (0.1310) loss_lansim: 0.1194 (0.1222) loss_contra: 0.0004 (0.0128) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [8] [4130/5278] eta: 0:48:31 lr: 4.0001108934963425e-05 loss: 0.1075 (0.1216) loss_seg: 0.1189 (0.1312) loss_lansim: 0.1188 (0.1222) loss_contra: 0.0005 (0.0128) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [8] [4140/5278] eta: 0:48:05 lr: 3.9998923937707117e-05 loss: 0.1098 (0.1216) loss_seg: 0.1196 (0.1312) loss_lansim: 0.1180 (0.1222) loss_contra: 0.0005 (0.0128) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [8] [4150/5278] eta: 0:47:40 lr: 3.999673892718868e-05 loss: 0.1154 (0.1216) loss_seg: 0.1219 (0.1313) loss_lansim: 0.1176 (0.1221) loss_contra: 0.0007 (0.0128) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [8] [4160/5278] eta: 0:47:14 lr: 3.9994553903407215e-05 loss: 0.1098 (0.1216) loss_seg: 0.1196 (0.1312) loss_lansim: 0.1176 (0.1221) loss_contra: 0.0005 (0.0128) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [8] [4170/5278] eta: 0:46:49 lr: 3.999236886636183e-05 loss: 0.1154 (0.1216) loss_seg: 0.1219 (0.1313) loss_lansim: 0.1155 (0.1221) loss_contra: 0.0006 (0.0128) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [8] [4180/5278] eta: 0:46:24 lr: 3.999018381605166e-05 loss: 0.1154 (0.1217) loss_seg: 0.1226 (0.1313) loss_lansim: 0.1159 (0.1221) loss_contra: 0.0007 (0.0127) time: 2.5191 data: 0.0025 max mem: 31671 Epoch: [8] [4190/5278] eta: 0:45:58 lr: 3.9987998752475805e-05 loss: 0.1213 (0.1217) loss_seg: 0.1307 (0.1314) loss_lansim: 0.1162 (0.1221) loss_contra: 0.0007 (0.0127) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [8] [4200/5278] eta: 0:45:33 lr: 3.998581367563338e-05 loss: 0.1213 (0.1217) loss_seg: 0.1307 (0.1314) loss_lansim: 0.1162 (0.1221) loss_contra: 0.0009 (0.0128) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [8] [4210/5278] eta: 0:45:08 lr: 3.9983628585523496e-05 loss: 0.1213 (0.1217) loss_seg: 0.1226 (0.1313) loss_lansim: 0.1146 (0.1221) loss_contra: 0.0007 (0.0128) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [8] [4220/5278] eta: 0:44:42 lr: 3.998144348214527e-05 loss: 0.1179 (0.1217) loss_seg: 0.1279 (0.1313) loss_lansim: 0.1139 (0.1220) loss_contra: 0.0008 (0.0128) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [8] [4230/5278] eta: 0:44:17 lr: 3.997925836549783e-05 loss: 0.1138 (0.1216) loss_seg: 0.1226 (0.1312) loss_lansim: 0.1138 (0.1220) loss_contra: 0.0007 (0.0128) time: 2.5267 data: 0.0024 max mem: 31671 Epoch: [8] [4240/5278] eta: 0:43:51 lr: 3.9977073235580266e-05 loss: 0.1134 (0.1216) loss_seg: 0.1226 (0.1312) loss_lansim: 0.1135 (0.1220) loss_contra: 0.0006 (0.0128) time: 2.5221 data: 0.0024 max mem: 31671 Epoch: [8] [4250/5278] eta: 0:43:26 lr: 3.99748880923917e-05 loss: 0.1129 (0.1216) loss_seg: 0.1209 (0.1313) loss_lansim: 0.1123 (0.1220) loss_contra: 0.0006 (0.0128) time: 2.5244 data: 0.0024 max mem: 31671 Epoch: [8] [4260/5278] eta: 0:43:01 lr: 3.9972702935931254e-05 loss: 0.1122 (0.1216) loss_seg: 0.1209 (0.1312) loss_lansim: 0.1122 (0.1220) loss_contra: 0.0007 (0.0128) time: 2.5269 data: 0.0024 max mem: 31671 Epoch: [8] [4270/5278] eta: 0:42:35 lr: 3.997051776619803e-05 loss: 0.1129 (0.1215) loss_seg: 0.1226 (0.1312) loss_lansim: 0.1130 (0.1220) loss_contra: 0.0006 (0.0127) time: 2.5226 data: 0.0024 max mem: 31671 Epoch: [8] [4280/5278] eta: 0:42:10 lr: 3.9968332583191145e-05 loss: 0.1116 (0.1215) loss_seg: 0.1173 (0.1312) loss_lansim: 0.1139 (0.1220) loss_contra: 0.0006 (0.0127) time: 2.5288 data: 0.0024 max mem: 31671 Epoch: [8] [4290/5278] eta: 0:41:44 lr: 3.996614738690971e-05 loss: 0.1082 (0.1215) loss_seg: 0.1122 (0.1312) loss_lansim: 0.1141 (0.1220) loss_contra: 0.0006 (0.0127) time: 2.5202 data: 0.0024 max mem: 31671 Epoch: [8] [4300/5278] eta: 0:41:19 lr: 3.9963962177352844e-05 loss: 0.1110 (0.1215) loss_seg: 0.1122 (0.1312) loss_lansim: 0.1122 (0.1220) loss_contra: 0.0005 (0.0127) time: 2.5235 data: 0.0024 max mem: 31671 Epoch: [8] [4310/5278] eta: 0:40:54 lr: 3.996177695451966e-05 loss: 0.1110 (0.1215) loss_seg: 0.1122 (0.1311) loss_lansim: 0.1152 (0.1220) loss_contra: 0.0005 (0.0127) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [8] [4320/5278] eta: 0:40:28 lr: 3.9959591718409264e-05 loss: 0.1110 (0.1215) loss_seg: 0.1148 (0.1311) loss_lansim: 0.1164 (0.1220) loss_contra: 0.0004 (0.0126) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [8] [4330/5278] eta: 0:40:03 lr: 3.9957406469020765e-05 loss: 0.1156 (0.1215) loss_seg: 0.1255 (0.1311) loss_lansim: 0.1173 (0.1220) loss_contra: 0.0004 (0.0127) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [8] [4340/5278] eta: 0:39:37 lr: 3.995522120635329e-05 loss: 0.1156 (0.1215) loss_seg: 0.1199 (0.1311) loss_lansim: 0.1173 (0.1219) loss_contra: 0.0005 (0.0128) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [8] [4350/5278] eta: 0:39:12 lr: 3.9953035930405944e-05 loss: 0.1164 (0.1215) loss_seg: 0.1250 (0.1311) loss_lansim: 0.1164 (0.1219) loss_contra: 0.0005 (0.0128) time: 2.5155 data: 0.0025 max mem: 31671 Epoch: [8] [4360/5278] eta: 0:38:47 lr: 3.9950850641177826e-05 loss: 0.1172 (0.1215) loss_seg: 0.1275 (0.1312) loss_lansim: 0.1173 (0.1219) loss_contra: 0.0005 (0.0128) time: 2.5161 data: 0.0025 max mem: 31671 Epoch: [8] [4370/5278] eta: 0:38:21 lr: 3.994866533866807e-05 loss: 0.1156 (0.1215) loss_seg: 0.1213 (0.1311) loss_lansim: 0.1173 (0.1219) loss_contra: 0.0007 (0.0128) time: 2.5150 data: 0.0025 max mem: 31671 Epoch: [8] [4380/5278] eta: 0:37:56 lr: 3.994648002287578e-05 loss: 0.1164 (0.1215) loss_seg: 0.1275 (0.1311) loss_lansim: 0.1166 (0.1220) loss_contra: 0.0007 (0.0128) time: 2.5143 data: 0.0026 max mem: 31671 Epoch: [8] [4390/5278] eta: 0:37:30 lr: 3.994429469380006e-05 loss: 0.1164 (0.1215) loss_seg: 0.1263 (0.1311) loss_lansim: 0.1177 (0.1219) loss_contra: 0.0005 (0.0128) time: 2.5097 data: 0.0026 max mem: 31671 Epoch: [8] [4400/5278] eta: 0:37:05 lr: 3.994210935144003e-05 loss: 0.1164 (0.1215) loss_seg: 0.1263 (0.1311) loss_lansim: 0.1178 (0.1219) loss_contra: 0.0009 (0.0128) time: 2.5114 data: 0.0026 max mem: 31671 Epoch: [8] [4410/5278] eta: 0:36:40 lr: 3.9939923995794806e-05 loss: 0.1193 (0.1215) loss_seg: 0.1263 (0.1312) loss_lansim: 0.1181 (0.1219) loss_contra: 0.0009 (0.0130) time: 2.5090 data: 0.0026 max mem: 31671 Epoch: [8] [4420/5278] eta: 0:36:14 lr: 3.993773862686348e-05 loss: 0.1156 (0.1215) loss_seg: 0.1252 (0.1311) loss_lansim: 0.1181 (0.1219) loss_contra: 0.0012 (0.0130) time: 2.5132 data: 0.0026 max mem: 31671 Epoch: [8] [4430/5278] eta: 0:35:49 lr: 3.993555324464519e-05 loss: 0.1133 (0.1214) loss_seg: 0.1213 (0.1311) loss_lansim: 0.1178 (0.1219) loss_contra: 0.0011 (0.0130) time: 2.5288 data: 0.0026 max mem: 31671 Epoch: [8] [4440/5278] eta: 0:35:24 lr: 3.993336784913903e-05 loss: 0.1133 (0.1214) loss_seg: 0.1203 (0.1311) loss_lansim: 0.1186 (0.1219) loss_contra: 0.0011 (0.0130) time: 2.5238 data: 0.0026 max mem: 31671 Epoch: [8] [4450/5278] eta: 0:34:58 lr: 3.993118244034412e-05 loss: 0.1147 (0.1214) loss_seg: 0.1203 (0.1310) loss_lansim: 0.1200 (0.1219) loss_contra: 0.0015 (0.0130) time: 2.5353 data: 0.0026 max mem: 31671 Epoch: [8] [4460/5278] eta: 0:34:33 lr: 3.992899701825956e-05 loss: 0.1133 (0.1214) loss_seg: 0.1169 (0.1310) loss_lansim: 0.1197 (0.1219) loss_contra: 0.0010 (0.0130) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [8] [4470/5278] eta: 0:34:08 lr: 3.992681158288447e-05 loss: 0.1147 (0.1214) loss_seg: 0.1203 (0.1310) loss_lansim: 0.1186 (0.1219) loss_contra: 0.0008 (0.0130) time: 2.5304 data: 0.0026 max mem: 31671 Epoch: [8] [4480/5278] eta: 0:33:42 lr: 3.992462613421796e-05 loss: 0.1149 (0.1214) loss_seg: 0.1182 (0.1311) loss_lansim: 0.1183 (0.1219) loss_contra: 0.0010 (0.0130) time: 2.5340 data: 0.0026 max mem: 31671 Epoch: [8] [4490/5278] eta: 0:33:17 lr: 3.992244067225913e-05 loss: 0.1066 (0.1214) loss_seg: 0.1169 (0.1311) loss_lansim: 0.1172 (0.1219) loss_contra: 0.0010 (0.0130) time: 2.5408 data: 0.0026 max mem: 31671 Epoch: [8] [4500/5278] eta: 0:32:52 lr: 3.992025519700711e-05 loss: 0.1054 (0.1214) loss_seg: 0.1155 (0.1310) loss_lansim: 0.1172 (0.1219) loss_contra: 0.0006 (0.0130) time: 2.5368 data: 0.0026 max mem: 31671 Epoch: [8] [4510/5278] eta: 0:32:26 lr: 3.9918069708460995e-05 loss: 0.1044 (0.1214) loss_seg: 0.1150 (0.1310) loss_lansim: 0.1152 (0.1218) loss_contra: 0.0008 (0.0130) time: 2.5393 data: 0.0026 max mem: 31671 Epoch: [8] [4520/5278] eta: 0:32:01 lr: 3.99158842066199e-05 loss: 0.1054 (0.1213) loss_seg: 0.1155 (0.1310) loss_lansim: 0.1165 (0.1218) loss_contra: 0.0008 (0.0131) time: 2.5380 data: 0.0026 max mem: 31671 Epoch: [8] [4530/5278] eta: 0:31:36 lr: 3.991369869148294e-05 loss: 0.1039 (0.1212) loss_seg: 0.1140 (0.1309) loss_lansim: 0.1165 (0.1218) loss_contra: 0.0008 (0.0130) time: 2.5340 data: 0.0026 max mem: 31671 Epoch: [8] [4540/5278] eta: 0:31:10 lr: 3.991151316304922e-05 loss: 0.1036 (0.1212) loss_seg: 0.1112 (0.1309) loss_lansim: 0.1147 (0.1217) loss_contra: 0.0007 (0.0130) time: 2.5462 data: 0.0026 max mem: 31671 Epoch: [8] [4550/5278] eta: 0:30:45 lr: 3.990932762131785e-05 loss: 0.1039 (0.1213) loss_seg: 0.1112 (0.1309) loss_lansim: 0.1121 (0.1217) loss_contra: 0.0004 (0.0130) time: 2.5300 data: 0.0026 max mem: 31671 Epoch: [8] [4560/5278] eta: 0:30:20 lr: 3.990714206628794e-05 loss: 0.1039 (0.1213) loss_seg: 0.1112 (0.1310) loss_lansim: 0.1101 (0.1217) loss_contra: 0.0004 (0.0130) time: 2.5360 data: 0.0026 max mem: 31671 Epoch: [8] [4570/5278] eta: 0:29:54 lr: 3.99049564979586e-05 loss: 0.1036 (0.1213) loss_seg: 0.1054 (0.1310) loss_lansim: 0.1081 (0.1216) loss_contra: 0.0004 (0.0129) time: 2.5329 data: 0.0026 max mem: 31671 Epoch: [8] [4580/5278] eta: 0:29:29 lr: 3.990277091632894e-05 loss: 0.0951 (0.1212) loss_seg: 0.1023 (0.1309) loss_lansim: 0.1069 (0.1216) loss_contra: 0.0003 (0.0130) time: 2.5324 data: 0.0026 max mem: 31671 Epoch: [8] [4590/5278] eta: 0:29:04 lr: 3.9900585321398074e-05 loss: 0.0982 (0.1213) loss_seg: 0.1027 (0.1309) loss_lansim: 0.1073 (0.1216) loss_contra: 0.0003 (0.0130) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [8] [4600/5278] eta: 0:28:38 lr: 3.989839971316511e-05 loss: 0.1001 (0.1213) loss_seg: 0.1038 (0.1309) loss_lansim: 0.1069 (0.1215) loss_contra: 0.0003 (0.0129) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [8] [4610/5278] eta: 0:28:13 lr: 3.9896214091629155e-05 loss: 0.1001 (0.1213) loss_seg: 0.1047 (0.1310) loss_lansim: 0.1059 (0.1215) loss_contra: 0.0002 (0.0129) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [8] [4620/5278] eta: 0:27:47 lr: 3.989402845678931e-05 loss: 0.1012 (0.1214) loss_seg: 0.1101 (0.1310) loss_lansim: 0.1053 (0.1215) loss_contra: 0.0002 (0.0129) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [8] [4630/5278] eta: 0:27:22 lr: 3.98918428086447e-05 loss: 0.1063 (0.1213) loss_seg: 0.1131 (0.1310) loss_lansim: 0.1048 (0.1214) loss_contra: 0.0002 (0.0131) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [8] [4640/5278] eta: 0:26:57 lr: 3.988965714719442e-05 loss: 0.1118 (0.1213) loss_seg: 0.1210 (0.1310) loss_lansim: 0.1059 (0.1214) loss_contra: 0.0002 (0.0131) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [8] [4650/5278] eta: 0:26:32 lr: 3.9887471472437595e-05 loss: 0.1112 (0.1214) loss_seg: 0.1210 (0.1311) loss_lansim: 0.1054 (0.1214) loss_contra: 0.0002 (0.0130) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [8] [4660/5278] eta: 0:26:06 lr: 3.9885285784373314e-05 loss: 0.1104 (0.1214) loss_seg: 0.1176 (0.1311) loss_lansim: 0.1069 (0.1214) loss_contra: 0.0002 (0.0130) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [8] [4670/5278] eta: 0:25:41 lr: 3.98831000830007e-05 loss: 0.1104 (0.1214) loss_seg: 0.1210 (0.1311) loss_lansim: 0.1071 (0.1214) loss_contra: 0.0003 (0.0130) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [8] [4680/5278] eta: 0:25:15 lr: 3.988091436831886e-05 loss: 0.1112 (0.1214) loss_seg: 0.1227 (0.1311) loss_lansim: 0.1076 (0.1214) loss_contra: 0.0004 (0.0130) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [8] [4690/5278] eta: 0:24:50 lr: 3.98787286403269e-05 loss: 0.1104 (0.1214) loss_seg: 0.1227 (0.1310) loss_lansim: 0.1072 (0.1213) loss_contra: 0.0004 (0.0130) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [8] [4700/5278] eta: 0:24:25 lr: 3.987654289902393e-05 loss: 0.1046 (0.1213) loss_seg: 0.1115 (0.1310) loss_lansim: 0.1076 (0.1213) loss_contra: 0.0004 (0.0130) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [8] [4710/5278] eta: 0:24:00 lr: 3.987435714440905e-05 loss: 0.1014 (0.1213) loss_seg: 0.1103 (0.1309) loss_lansim: 0.1088 (0.1213) loss_contra: 0.0004 (0.0130) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [8] [4720/5278] eta: 0:23:34 lr: 3.987217137648138e-05 loss: 0.1007 (0.1213) loss_seg: 0.1095 (0.1309) loss_lansim: 0.1105 (0.1213) loss_contra: 0.0004 (0.0130) time: 2.5553 data: 0.0024 max mem: 31671 Epoch: [8] [4730/5278] eta: 0:23:09 lr: 3.9869985595240025e-05 loss: 0.1033 (0.1214) loss_seg: 0.1121 (0.1311) loss_lansim: 0.1110 (0.1213) loss_contra: 0.0003 (0.0129) time: 2.5587 data: 0.0025 max mem: 31671 Epoch: [8] [4740/5278] eta: 0:22:44 lr: 3.986779980068408e-05 loss: 0.1033 (0.1215) loss_seg: 0.1121 (0.1312) loss_lansim: 0.1111 (0.1213) loss_contra: 0.0003 (0.0130) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [8] [4750/5278] eta: 0:22:18 lr: 3.986561399281267e-05 loss: 0.1071 (0.1215) loss_seg: 0.1146 (0.1312) loss_lansim: 0.1116 (0.1213) loss_contra: 0.0004 (0.0130) time: 2.5485 data: 0.0025 max mem: 31671 Epoch: [8] [4760/5278] eta: 0:21:53 lr: 3.98634281716249e-05 loss: 0.1071 (0.1214) loss_seg: 0.1146 (0.1311) loss_lansim: 0.1152 (0.1213) loss_contra: 0.0003 (0.0130) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [8] [4770/5278] eta: 0:21:27 lr: 3.986124233711987e-05 loss: 0.1024 (0.1215) loss_seg: 0.1121 (0.1311) loss_lansim: 0.1152 (0.1213) loss_contra: 0.0003 (0.0129) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [8] [4780/5278] eta: 0:21:02 lr: 3.985905648929669e-05 loss: 0.1033 (0.1214) loss_seg: 0.1146 (0.1311) loss_lansim: 0.1152 (0.1213) loss_contra: 0.0003 (0.0132) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [8] [4790/5278] eta: 0:20:37 lr: 3.985687062815447e-05 loss: 0.1074 (0.1214) loss_seg: 0.1192 (0.1311) loss_lansim: 0.1155 (0.1213) loss_contra: 0.0002 (0.0132) time: 2.5464 data: 0.0025 max mem: 31671 Epoch: [8] [4800/5278] eta: 0:20:11 lr: 3.9854684753692315e-05 loss: 0.1074 (0.1214) loss_seg: 0.1192 (0.1310) loss_lansim: 0.1155 (0.1213) loss_contra: 0.0002 (0.0132) time: 2.5457 data: 0.0026 max mem: 31671 Epoch: [8] [4810/5278] eta: 0:19:46 lr: 3.985249886590934e-05 loss: 0.1121 (0.1214) loss_seg: 0.1205 (0.1311) loss_lansim: 0.1179 (0.1213) loss_contra: 0.0002 (0.0132) time: 2.5380 data: 0.0026 max mem: 31671 Epoch: [8] [4820/5278] eta: 0:19:21 lr: 3.985031296480464e-05 loss: 0.1121 (0.1214) loss_seg: 0.1205 (0.1310) loss_lansim: 0.1183 (0.1213) loss_contra: 0.0002 (0.0132) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [8] [4830/5278] eta: 0:18:55 lr: 3.984812705037732e-05 loss: 0.1080 (0.1214) loss_seg: 0.1192 (0.1310) loss_lansim: 0.1176 (0.1213) loss_contra: 0.0002 (0.0132) time: 2.5366 data: 0.0026 max mem: 31671 Epoch: [8] [4840/5278] eta: 0:18:30 lr: 3.984594112262651e-05 loss: 0.1033 (0.1213) loss_seg: 0.1130 (0.1310) loss_lansim: 0.1142 (0.1213) loss_contra: 0.0002 (0.0132) time: 2.5340 data: 0.0026 max mem: 31671 Epoch: [8] [4850/5278] eta: 0:18:05 lr: 3.984375518155128e-05 loss: 0.1022 (0.1213) loss_seg: 0.1109 (0.1310) loss_lansim: 0.1142 (0.1212) loss_contra: 0.0002 (0.0133) time: 2.5283 data: 0.0026 max mem: 31671 Epoch: [8] [4860/5278] eta: 0:17:39 lr: 3.9841569227150774e-05 loss: 0.1022 (0.1213) loss_seg: 0.1099 (0.1309) loss_lansim: 0.1141 (0.1212) loss_contra: 0.0001 (0.0132) time: 2.5287 data: 0.0026 max mem: 31671 Epoch: [8] [4870/5278] eta: 0:17:14 lr: 3.983938325942407e-05 loss: 0.1033 (0.1214) loss_seg: 0.1109 (0.1310) loss_lansim: 0.1142 (0.1212) loss_contra: 0.0002 (0.0133) time: 2.5288 data: 0.0026 max mem: 31671 Epoch: [8] [4880/5278] eta: 0:16:48 lr: 3.983719727837029e-05 loss: 0.1036 (0.1213) loss_seg: 0.1118 (0.1309) loss_lansim: 0.1161 (0.1212) loss_contra: 0.0001 (0.0133) time: 2.5332 data: 0.0026 max mem: 31671 Epoch: [8] [4890/5278] eta: 0:16:23 lr: 3.9835011283988535e-05 loss: 0.1033 (0.1213) loss_seg: 0.1110 (0.1310) loss_lansim: 0.1171 (0.1213) loss_contra: 0.0002 (0.0132) time: 2.5292 data: 0.0026 max mem: 31671 Epoch: [8] [4900/5278] eta: 0:15:58 lr: 3.9832825276277906e-05 loss: 0.1047 (0.1214) loss_seg: 0.1130 (0.1310) loss_lansim: 0.1171 (0.1213) loss_contra: 0.0002 (0.0132) time: 2.5283 data: 0.0026 max mem: 31671 Epoch: [8] [4910/5278] eta: 0:15:32 lr: 3.983063925523752e-05 loss: 0.1026 (0.1214) loss_seg: 0.1110 (0.1310) loss_lansim: 0.1171 (0.1213) loss_contra: 0.0004 (0.0132) time: 2.5292 data: 0.0026 max mem: 31671 Epoch: [8] [4920/5278] eta: 0:15:07 lr: 3.982845322086648e-05 loss: 0.1036 (0.1215) loss_seg: 0.1126 (0.1311) loss_lansim: 0.1171 (0.1213) loss_contra: 0.0004 (0.0133) time: 2.5226 data: 0.0026 max mem: 31671 Epoch: [8] [4930/5278] eta: 0:14:42 lr: 3.9826267173163884e-05 loss: 0.1036 (0.1215) loss_seg: 0.1125 (0.1311) loss_lansim: 0.1203 (0.1213) loss_contra: 0.0004 (0.0133) time: 2.5269 data: 0.0026 max mem: 31671 Epoch: [8] [4940/5278] eta: 0:14:16 lr: 3.9824081112128844e-05 loss: 0.1047 (0.1215) loss_seg: 0.1149 (0.1311) loss_lansim: 0.1215 (0.1213) loss_contra: 0.0004 (0.0133) time: 2.5255 data: 0.0026 max mem: 31671 Epoch: [8] [4950/5278] eta: 0:13:51 lr: 3.982189503776047e-05 loss: 0.1049 (0.1215) loss_seg: 0.1158 (0.1311) loss_lansim: 0.1213 (0.1213) loss_contra: 0.0004 (0.0132) time: 2.5212 data: 0.0026 max mem: 31671 Epoch: [8] [4960/5278] eta: 0:13:26 lr: 3.981970895005785e-05 loss: 0.1049 (0.1215) loss_seg: 0.1158 (0.1311) loss_lansim: 0.1213 (0.1213) loss_contra: 0.0004 (0.0132) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [8] [4970/5278] eta: 0:13:00 lr: 3.981752284902012e-05 loss: 0.1049 (0.1215) loss_seg: 0.1158 (0.1311) loss_lansim: 0.1211 (0.1213) loss_contra: 0.0004 (0.0132) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [8] [4980/5278] eta: 0:12:35 lr: 3.981533673464635e-05 loss: 0.1068 (0.1215) loss_seg: 0.1158 (0.1311) loss_lansim: 0.1196 (0.1212) loss_contra: 0.0004 (0.0133) time: 2.5396 data: 0.0026 max mem: 31671 Epoch: [8] [4990/5278] eta: 0:12:10 lr: 3.981315060693567e-05 loss: 0.1067 (0.1215) loss_seg: 0.1153 (0.1311) loss_lansim: 0.1180 (0.1212) loss_contra: 0.0005 (0.0133) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [8] [5000/5278] eta: 0:11:44 lr: 3.9810964465887166e-05 loss: 0.1069 (0.1215) loss_seg: 0.1158 (0.1311) loss_lansim: 0.1198 (0.1213) loss_contra: 0.0008 (0.0133) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [8] [5010/5278] eta: 0:11:19 lr: 3.9808778311499955e-05 loss: 0.1067 (0.1215) loss_seg: 0.1147 (0.1311) loss_lansim: 0.1200 (0.1213) loss_contra: 0.0007 (0.0133) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [8] [5020/5278] eta: 0:10:54 lr: 3.9806592143773154e-05 loss: 0.1036 (0.1215) loss_seg: 0.1134 (0.1311) loss_lansim: 0.1227 (0.1214) loss_contra: 0.0007 (0.0133) time: 2.5471 data: 0.0025 max mem: 31671 Epoch: [8] [5030/5278] eta: 0:10:28 lr: 3.9804405962705835e-05 loss: 0.1067 (0.1215) loss_seg: 0.1147 (0.1312) loss_lansim: 0.1224 (0.1214) loss_contra: 0.0007 (0.0133) time: 2.5435 data: 0.0025 max mem: 31671 Epoch: [8] [5040/5278] eta: 0:10:03 lr: 3.980221976829713e-05 loss: 0.1062 (0.1215) loss_seg: 0.1134 (0.1312) loss_lansim: 0.1202 (0.1214) loss_contra: 0.0007 (0.0133) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [8] [5050/5278] eta: 0:09:38 lr: 3.980003356054613e-05 loss: 0.1062 (0.1215) loss_seg: 0.1134 (0.1311) loss_lansim: 0.1224 (0.1214) loss_contra: 0.0006 (0.0133) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [8] [5060/5278] eta: 0:09:12 lr: 3.979784733945195e-05 loss: 0.1062 (0.1215) loss_seg: 0.1134 (0.1311) loss_lansim: 0.1225 (0.1214) loss_contra: 0.0006 (0.0132) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [8] [5070/5278] eta: 0:08:47 lr: 3.9795661105013684e-05 loss: 0.1067 (0.1215) loss_seg: 0.1172 (0.1312) loss_lansim: 0.1232 (0.1214) loss_contra: 0.0005 (0.0132) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [8] [5080/5278] eta: 0:08:21 lr: 3.979347485723044e-05 loss: 0.1071 (0.1215) loss_seg: 0.1176 (0.1311) loss_lansim: 0.1271 (0.1214) loss_contra: 0.0005 (0.0132) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [8] [5090/5278] eta: 0:07:56 lr: 3.9791288596101314e-05 loss: 0.1062 (0.1215) loss_seg: 0.1172 (0.1311) loss_lansim: 0.1296 (0.1214) loss_contra: 0.0005 (0.0132) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [8] [5100/5278] eta: 0:07:31 lr: 3.978910232162543e-05 loss: 0.1050 (0.1215) loss_seg: 0.1136 (0.1311) loss_lansim: 0.1296 (0.1215) loss_contra: 0.0004 (0.0132) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [8] [5110/5278] eta: 0:07:05 lr: 3.978691603380187e-05 loss: 0.1062 (0.1215) loss_seg: 0.1176 (0.1311) loss_lansim: 0.1235 (0.1215) loss_contra: 0.0004 (0.0131) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [8] [5120/5278] eta: 0:06:40 lr: 3.978472973262975e-05 loss: 0.1107 (0.1215) loss_seg: 0.1199 (0.1312) loss_lansim: 0.1216 (0.1214) loss_contra: 0.0002 (0.0131) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [8] [5130/5278] eta: 0:06:15 lr: 3.9782543418108167e-05 loss: 0.1101 (0.1215) loss_seg: 0.1195 (0.1312) loss_lansim: 0.1204 (0.1214) loss_contra: 0.0002 (0.0131) time: 2.5215 data: 0.0025 max mem: 31671 Epoch: [8] [5140/5278] eta: 0:05:49 lr: 3.978035709023623e-05 loss: 0.1141 (0.1216) loss_seg: 0.1221 (0.1312) loss_lansim: 0.1215 (0.1214) loss_contra: 0.0002 (0.0131) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [8] [5150/5278] eta: 0:05:24 lr: 3.977817074901304e-05 loss: 0.1141 (0.1216) loss_seg: 0.1228 (0.1312) loss_lansim: 0.1198 (0.1214) loss_contra: 0.0001 (0.0131) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [8] [5160/5278] eta: 0:04:59 lr: 3.977598439443769e-05 loss: 0.1175 (0.1216) loss_seg: 0.1245 (0.1312) loss_lansim: 0.1191 (0.1214) loss_contra: 0.0002 (0.0131) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [8] [5170/5278] eta: 0:04:33 lr: 3.97737980265093e-05 loss: 0.1141 (0.1216) loss_seg: 0.1224 (0.1312) loss_lansim: 0.1191 (0.1214) loss_contra: 0.0002 (0.0131) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [8] [5180/5278] eta: 0:04:08 lr: 3.977161164522697e-05 loss: 0.1150 (0.1216) loss_seg: 0.1224 (0.1312) loss_lansim: 0.1186 (0.1214) loss_contra: 0.0002 (0.0131) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [8] [5190/5278] eta: 0:03:43 lr: 3.9769425250589785e-05 loss: 0.1150 (0.1215) loss_seg: 0.1224 (0.1312) loss_lansim: 0.1157 (0.1214) loss_contra: 0.0002 (0.0130) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [8] [5200/5278] eta: 0:03:17 lr: 3.976723884259687e-05 loss: 0.1170 (0.1215) loss_seg: 0.1248 (0.1312) loss_lansim: 0.1157 (0.1214) loss_contra: 0.0002 (0.0130) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [8] [5210/5278] eta: 0:02:52 lr: 3.976505242124732e-05 loss: 0.1138 (0.1215) loss_seg: 0.1205 (0.1311) loss_lansim: 0.1157 (0.1214) loss_contra: 0.0002 (0.0130) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [8] [5220/5278] eta: 0:02:27 lr: 3.9762865986540225e-05 loss: 0.1150 (0.1216) loss_seg: 0.1224 (0.1312) loss_lansim: 0.1183 (0.1214) loss_contra: 0.0002 (0.0130) time: 2.5311 data: 0.0026 max mem: 31671 Epoch: [8] [5230/5278] eta: 0:02:01 lr: 3.976067953847471e-05 loss: 0.1138 (0.1216) loss_seg: 0.1224 (0.1313) loss_lansim: 0.1186 (0.1215) loss_contra: 0.0002 (0.0130) time: 2.5390 data: 0.0026 max mem: 31671 Epoch: [8] [5240/5278] eta: 0:01:36 lr: 3.975849307704986e-05 loss: 0.1170 (0.1217) loss_seg: 0.1248 (0.1313) loss_lansim: 0.1197 (0.1215) loss_contra: 0.0002 (0.0130) time: 2.5297 data: 0.0026 max mem: 31671 Epoch: [8] [5250/5278] eta: 0:01:10 lr: 3.975630660226478e-05 loss: 0.1200 (0.1217) loss_seg: 0.1313 (0.1314) loss_lansim: 0.1217 (0.1215) loss_contra: 0.0004 (0.0130) time: 2.5367 data: 0.0026 max mem: 31671 Epoch: [8] [5260/5278] eta: 0:00:45 lr: 3.975412011411858e-05 loss: 0.1198 (0.1217) loss_seg: 0.1300 (0.1314) loss_lansim: 0.1232 (0.1215) loss_contra: 0.0004 (0.0130) time: 2.5421 data: 0.0026 max mem: 31671 Epoch: [8] [5270/5278] eta: 0:00:20 lr: 3.975193361261035e-05 loss: 0.1187 (0.1217) loss_seg: 0.1298 (0.1314) loss_lansim: 0.1236 (0.1215) loss_contra: 0.0004 (0.0129) time: 2.5382 data: 0.0026 max mem: 31671 Epoch: [8] Total time: 3:43:01 Test: [ 0/2573] eta: 1:33:26 time: 2.1790 data: 1.9957 max mem: 31671 Test: [ 100/2573] eta: 0:06:35 time: 0.1396 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:03 time: 0.1465 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:38 time: 0.1410 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:20 time: 0.1423 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:03 time: 0.1433 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:48 time: 0.1455 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:35 time: 0.1497 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:20 time: 0.1472 data: 0.0014 max mem: 31671 Test: [ 900/2573] eta: 0:04:05 time: 0.1478 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:50 time: 0.1443 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:36 time: 0.1457 data: 0.0017 max mem: 31671 Test: [1200/2573] eta: 0:03:21 time: 0.1476 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:06 time: 0.1460 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:51 time: 0.1422 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:36 time: 0.1456 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:22 time: 0.1459 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:07 time: 0.1464 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:52 time: 0.1441 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1427 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1435 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1480 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1412 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1450 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1449 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1464 data: 0.0015 max mem: 31671 Test: Total time: 0:06:15 Final results: precision@0.5 = 57.31 precision@0.6 = 51.43 precision@0.7 = 43.44 precision@0.8 = 32.21 precision@0.9 = 13.81 overall IoU = 52.20 mean IoU = 51.46 Average object IoU 0.5146227681525167 Overall IoU 52.20223594375391 Epoch: [9] [ 0/5278] eta: 10:50:58 lr: 3.97501844017825e-05 loss: 0.1218 (0.1218) loss_seg: 0.1349 (0.1349) loss_lansim: 0.1456 (0.1456) loss_contra: 0.0005 (0.0005) time: 7.4003 data: 1.4950 max mem: 31671 Epoch: [9] [ 10/5278] eta: 4:21:50 lr: 3.974799787622037e-05 loss: 0.1057 (0.1184) loss_seg: 0.1040 (0.1296) loss_lansim: 0.1154 (0.1210) loss_contra: 0.0003 (0.0037) time: 2.9823 data: 0.1376 max mem: 31671 Epoch: [9] [ 20/5278] eta: 4:02:37 lr: 3.9745811337293695e-05 loss: 0.1085 (0.1192) loss_seg: 0.1203 (0.1301) loss_lansim: 0.1234 (0.1248) loss_contra: 0.0005 (0.0066) time: 2.7687 data: 0.0731 max mem: 31671 Epoch: [9] [ 30/5278] eta: 3:56:01 lr: 3.9743624785001576e-05 loss: 0.1062 (0.1179) loss_seg: 0.1168 (0.1274) loss_lansim: 0.1244 (0.1260) loss_contra: 0.0005 (0.0052) time: 2.6985 data: 0.0504 max mem: 31671 Epoch: [9] [ 40/5278] eta: 3:52:03 lr: 3.974143821934313e-05 loss: 0.1062 (0.1129) loss_seg: 0.1168 (0.1224) loss_lansim: 0.1220 (0.1235) loss_contra: 0.0005 (0.0165) time: 2.6582 data: 0.0387 max mem: 31671 Epoch: [9] [ 50/5278] eta: 3:49:30 lr: 3.973925164031744e-05 loss: 0.1092 (0.1167) loss_seg: 0.1203 (0.1269) loss_lansim: 0.1217 (0.1228) loss_contra: 0.0005 (0.0143) time: 2.6340 data: 0.0317 max mem: 31671 Epoch: [9] [ 60/5278] eta: 3:47:41 lr: 3.973706504792362e-05 loss: 0.1085 (0.1261) loss_seg: 0.1189 (0.1371) loss_lansim: 0.1212 (0.1234) loss_contra: 0.0005 (0.0174) time: 2.6182 data: 0.0269 max mem: 31671 Epoch: [9] [ 70/5278] eta: 3:45:52 lr: 3.9734878442160764e-05 loss: 0.1076 (0.1239) loss_seg: 0.1183 (0.1346) loss_lansim: 0.1217 (0.1234) loss_contra: 0.0004 (0.0170) time: 2.6023 data: 0.0235 max mem: 31671 Epoch: [9] [ 80/5278] eta: 3:44:10 lr: 3.9732691823027975e-05 loss: 0.1062 (0.1200) loss_seg: 0.1152 (0.1299) loss_lansim: 0.1204 (0.1219) loss_contra: 0.0005 (0.0175) time: 2.5876 data: 0.0209 max mem: 31671 Epoch: [9] [ 90/5278] eta: 3:42:34 lr: 3.9730505190524356e-05 loss: 0.1057 (0.1185) loss_seg: 0.1152 (0.1283) loss_lansim: 0.1204 (0.1214) loss_contra: 0.0005 (0.0170) time: 2.5742 data: 0.0189 max mem: 31671 Epoch: [9] [ 100/5278] eta: 3:41:48 lr: 3.9728318544649e-05 loss: 0.1057 (0.1176) loss_seg: 0.1152 (0.1272) loss_lansim: 0.1212 (0.1243) loss_contra: 0.0005 (0.0154) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [9] [ 110/5278] eta: 3:41:12 lr: 3.9726131885401016e-05 loss: 0.1043 (0.1201) loss_seg: 0.1152 (0.1292) loss_lansim: 0.1222 (0.1247) loss_contra: 0.0005 (0.0148) time: 2.5226 data: 0.0026 max mem: 31671 Epoch: [9] [ 120/5278] eta: 3:40:13 lr: 3.9723945212779505e-05 loss: 0.1041 (0.1199) loss_seg: 0.1121 (0.1290) loss_lansim: 0.1212 (0.1251) loss_contra: 0.0005 (0.0152) time: 2.5183 data: 0.0026 max mem: 31671 Epoch: [9] [ 130/5278] eta: 3:39:34 lr: 3.972175852678356e-05 loss: 0.1041 (0.1194) loss_seg: 0.1127 (0.1287) loss_lansim: 0.1212 (0.1257) loss_contra: 0.0004 (0.0145) time: 2.5160 data: 0.0026 max mem: 31671 Epoch: [9] [ 140/5278] eta: 3:38:52 lr: 3.9719571827412275e-05 loss: 0.1043 (0.1209) loss_seg: 0.1121 (0.1303) loss_lansim: 0.1234 (0.1262) loss_contra: 0.0003 (0.0148) time: 2.5141 data: 0.0026 max mem: 31671 Epoch: [9] [ 150/5278] eta: 3:38:29 lr: 3.9717385114664774e-05 loss: 0.0992 (0.1202) loss_seg: 0.1076 (0.1296) loss_lansim: 0.1241 (0.1259) loss_contra: 0.0004 (0.0141) time: 2.5168 data: 0.0026 max mem: 31671 Epoch: [9] [ 160/5278] eta: 3:37:44 lr: 3.971519838854013e-05 loss: 0.0987 (0.1177) loss_seg: 0.1071 (0.1271) loss_lansim: 0.1241 (0.1255) loss_contra: 0.0004 (0.0134) time: 2.5126 data: 0.0026 max mem: 31671 Epoch: [9] [ 170/5278] eta: 3:37:15 lr: 3.9713011649037465e-05 loss: 0.0978 (0.1158) loss_seg: 0.1068 (0.1250) loss_lansim: 0.1222 (0.1243) loss_contra: 0.0003 (0.0127) time: 2.5164 data: 0.0025 max mem: 31671 Epoch: [9] [ 180/5278] eta: 3:36:48 lr: 3.971082489615586e-05 loss: 0.1011 (0.1173) loss_seg: 0.1084 (0.1265) loss_lansim: 0.1223 (0.1241) loss_contra: 0.0002 (0.0121) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [9] [ 190/5278] eta: 3:36:06 lr: 3.970863812989443e-05 loss: 0.0992 (0.1157) loss_seg: 0.1071 (0.1249) loss_lansim: 0.1209 (0.1237) loss_contra: 0.0002 (0.0117) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [9] [ 200/5278] eta: 3:35:33 lr: 3.970645135025227e-05 loss: 0.0971 (0.1151) loss_seg: 0.1063 (0.1241) loss_lansim: 0.1206 (0.1236) loss_contra: 0.0002 (0.0117) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [9] [ 210/5278] eta: 3:35:16 lr: 3.9704264557228465e-05 loss: 0.0969 (0.1146) loss_seg: 0.1050 (0.1236) loss_lansim: 0.1202 (0.1233) loss_contra: 0.0002 (0.0112) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [9] [ 220/5278] eta: 3:35:04 lr: 3.970207775082214e-05 loss: 0.0943 (0.1132) loss_seg: 0.1013 (0.1222) loss_lansim: 0.1183 (0.1224) loss_contra: 0.0001 (0.0107) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [9] [ 230/5278] eta: 3:34:46 lr: 3.9699890931032366e-05 loss: 0.0942 (0.1131) loss_seg: 0.0987 (0.1222) loss_lansim: 0.1167 (0.1223) loss_contra: 0.0001 (0.0106) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [9] [ 240/5278] eta: 3:34:05 lr: 3.969770409785827e-05 loss: 0.0888 (0.1126) loss_seg: 0.0943 (0.1216) loss_lansim: 0.1146 (0.1216) loss_contra: 0.0001 (0.0102) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [9] [ 250/5278] eta: 3:33:38 lr: 3.9695517251298934e-05 loss: 0.0912 (0.1130) loss_seg: 0.0987 (0.1220) loss_lansim: 0.1139 (0.1214) loss_contra: 0.0001 (0.0117) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [9] [ 260/5278] eta: 3:33:09 lr: 3.969333039135345e-05 loss: 0.0912 (0.1126) loss_seg: 0.0987 (0.1215) loss_lansim: 0.1136 (0.1213) loss_contra: 0.0001 (0.0116) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [9] [ 270/5278] eta: 3:32:40 lr: 3.969114351802094e-05 loss: 0.0919 (0.1123) loss_seg: 0.1013 (0.1212) loss_lansim: 0.1135 (0.1207) loss_contra: 0.0002 (0.0115) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [9] [ 280/5278] eta: 3:32:08 lr: 3.968895663130047e-05 loss: 0.0919 (0.1122) loss_seg: 0.1010 (0.1210) loss_lansim: 0.1127 (0.1205) loss_contra: 0.0002 (0.0126) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [9] [ 290/5278] eta: 3:31:41 lr: 3.968676973119117e-05 loss: 0.0943 (0.1116) loss_seg: 0.1013 (0.1204) loss_lansim: 0.1111 (0.1202) loss_contra: 0.0002 (0.0136) time: 2.5423 data: 0.0024 max mem: 31671 Epoch: [9] [ 300/5278] eta: 3:31:04 lr: 3.9684582817692126e-05 loss: 0.0919 (0.1106) loss_seg: 0.1010 (0.1192) loss_lansim: 0.1089 (0.1199) loss_contra: 0.0002 (0.0140) time: 2.5383 data: 0.0024 max mem: 31671 Epoch: [9] [ 310/5278] eta: 3:30:29 lr: 3.968239589080244e-05 loss: 0.0948 (0.1105) loss_seg: 0.1013 (0.1191) loss_lansim: 0.1088 (0.1195) loss_contra: 0.0003 (0.0136) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [9] [ 320/5278] eta: 3:30:00 lr: 3.968020895052119e-05 loss: 0.0948 (0.1096) loss_seg: 0.1013 (0.1182) loss_lansim: 0.1107 (0.1193) loss_contra: 0.0003 (0.0132) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [9] [ 330/5278] eta: 3:29:30 lr: 3.967802199684751e-05 loss: 0.0948 (0.1096) loss_seg: 0.1023 (0.1181) loss_lansim: 0.1087 (0.1191) loss_contra: 0.0003 (0.0141) time: 2.5127 data: 0.0025 max mem: 31671 Epoch: [9] [ 340/5278] eta: 3:29:05 lr: 3.967583502978046e-05 loss: 0.0931 (0.1087) loss_seg: 0.1010 (0.1172) loss_lansim: 0.1087 (0.1187) loss_contra: 0.0003 (0.0138) time: 2.5191 data: 0.0025 max mem: 31671 Epoch: [9] [ 350/5278] eta: 3:28:49 lr: 3.967364804931916e-05 loss: 0.0931 (0.1092) loss_seg: 0.0997 (0.1177) loss_lansim: 0.1081 (0.1186) loss_contra: 0.0003 (0.0134) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [9] [ 360/5278] eta: 3:28:15 lr: 3.96714610554627e-05 loss: 0.0938 (0.1094) loss_seg: 0.1013 (0.1180) loss_lansim: 0.1083 (0.1184) loss_contra: 0.0003 (0.0131) time: 2.5199 data: 0.0026 max mem: 31671 Epoch: [9] [ 370/5278] eta: 3:27:45 lr: 3.966927404821019e-05 loss: 0.0931 (0.1089) loss_seg: 0.0988 (0.1174) loss_lansim: 0.1089 (0.1181) loss_contra: 0.0003 (0.0127) time: 2.5171 data: 0.0026 max mem: 31671 Epoch: [9] [ 380/5278] eta: 3:27:07 lr: 3.9667087027560713e-05 loss: 0.0945 (0.1098) loss_seg: 0.1013 (0.1183) loss_lansim: 0.1104 (0.1180) loss_contra: 0.0003 (0.0124) time: 2.5106 data: 0.0026 max mem: 31671 Epoch: [9] [ 390/5278] eta: 3:26:46 lr: 3.966489999351337e-05 loss: 0.0953 (0.1104) loss_seg: 0.1030 (0.1190) loss_lansim: 0.1111 (0.1178) loss_contra: 0.0003 (0.0121) time: 2.5141 data: 0.0026 max mem: 31671 Epoch: [9] [ 400/5278] eta: 3:26:24 lr: 3.9662712946067255e-05 loss: 0.0957 (0.1107) loss_seg: 0.1032 (0.1194) loss_lansim: 0.1111 (0.1175) loss_contra: 0.0003 (0.0119) time: 2.5229 data: 0.0026 max mem: 31671 Epoch: [9] [ 410/5278] eta: 3:26:10 lr: 3.966052588522147e-05 loss: 0.0938 (0.1100) loss_seg: 0.0997 (0.1188) loss_lansim: 0.1104 (0.1172) loss_contra: 0.0003 (0.0117) time: 2.5380 data: 0.0026 max mem: 31671 Epoch: [9] [ 420/5278] eta: 3:25:36 lr: 3.965833881097511e-05 loss: 0.0953 (0.1107) loss_seg: 0.1032 (0.1194) loss_lansim: 0.1104 (0.1170) loss_contra: 0.0003 (0.0147) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [9] [ 430/5278] eta: 3:25:13 lr: 3.9656151723327276e-05 loss: 0.0945 (0.1103) loss_seg: 0.1017 (0.1190) loss_lansim: 0.1100 (0.1170) loss_contra: 0.0003 (0.0144) time: 2.5376 data: 0.0026 max mem: 31671 Epoch: [9] [ 440/5278] eta: 3:24:54 lr: 3.965396462227706e-05 loss: 0.0973 (0.1102) loss_seg: 0.1051 (0.1190) loss_lansim: 0.1109 (0.1170) loss_contra: 0.0002 (0.0142) time: 2.5431 data: 0.0026 max mem: 31671 Epoch: [9] [ 450/5278] eta: 3:24:33 lr: 3.9651777507823556e-05 loss: 0.0989 (0.1106) loss_seg: 0.1055 (0.1194) loss_lansim: 0.1114 (0.1169) loss_contra: 0.0003 (0.0140) time: 2.5414 data: 0.0026 max mem: 31671 Epoch: [9] [ 460/5278] eta: 3:24:04 lr: 3.9649590379965875e-05 loss: 0.0975 (0.1104) loss_seg: 0.1051 (0.1192) loss_lansim: 0.1115 (0.1171) loss_contra: 0.0003 (0.0139) time: 2.5441 data: 0.0026 max mem: 31671 Epoch: [9] [ 470/5278] eta: 3:23:35 lr: 3.964740323870309e-05 loss: 0.0971 (0.1105) loss_seg: 0.1045 (0.1194) loss_lansim: 0.1115 (0.1172) loss_contra: 0.0003 (0.0166) time: 2.5443 data: 0.0026 max mem: 31671 Epoch: [9] [ 480/5278] eta: 3:23:08 lr: 3.9645216084034317e-05 loss: 0.0918 (0.1108) loss_seg: 0.1015 (0.1197) loss_lansim: 0.1119 (0.1172) loss_contra: 0.0004 (0.0166) time: 2.5522 data: 0.0026 max mem: 31671 Epoch: [9] [ 490/5278] eta: 3:22:39 lr: 3.964302891595864e-05 loss: 0.0918 (0.1107) loss_seg: 0.1015 (0.1195) loss_lansim: 0.1132 (0.1172) loss_contra: 0.0004 (0.0163) time: 2.5455 data: 0.0026 max mem: 31671 Epoch: [9] [ 500/5278] eta: 3:22:16 lr: 3.964084173447515e-05 loss: 0.0932 (0.1107) loss_seg: 0.1017 (0.1196) loss_lansim: 0.1137 (0.1173) loss_contra: 0.0004 (0.0161) time: 2.5457 data: 0.0026 max mem: 31671 Epoch: [9] [ 510/5278] eta: 3:21:45 lr: 3.963865453958297e-05 loss: 0.0944 (0.1107) loss_seg: 0.1037 (0.1196) loss_lansim: 0.1142 (0.1171) loss_contra: 0.0003 (0.0158) time: 2.5295 data: 0.0026 max mem: 31671 Epoch: [9] [ 520/5278] eta: 3:21:16 lr: 3.963646733128117e-05 loss: 0.0944 (0.1110) loss_seg: 0.1037 (0.1198) loss_lansim: 0.1164 (0.1171) loss_contra: 0.0004 (0.0155) time: 2.5333 data: 0.0026 max mem: 31671 Epoch: [9] [ 530/5278] eta: 3:20:59 lr: 3.9634280109568855e-05 loss: 0.0944 (0.1108) loss_seg: 0.1037 (0.1197) loss_lansim: 0.1168 (0.1171) loss_contra: 0.0004 (0.0153) time: 2.5404 data: 0.0026 max mem: 31671 Epoch: [9] [ 540/5278] eta: 3:20:36 lr: 3.963209287444512e-05 loss: 0.0944 (0.1106) loss_seg: 0.1037 (0.1195) loss_lansim: 0.1164 (0.1172) loss_contra: 0.0004 (0.0150) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [9] [ 550/5278] eta: 3:20:08 lr: 3.962990562590906e-05 loss: 0.0917 (0.1104) loss_seg: 0.1014 (0.1191) loss_lansim: 0.1163 (0.1171) loss_contra: 0.0004 (0.0149) time: 2.5289 data: 0.0026 max mem: 31671 Epoch: [9] [ 560/5278] eta: 3:19:41 lr: 3.962771836395976e-05 loss: 0.0906 (0.1103) loss_seg: 0.0989 (0.1190) loss_lansim: 0.1163 (0.1171) loss_contra: 0.0005 (0.0152) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [9] [ 570/5278] eta: 3:19:17 lr: 3.9625531088596326e-05 loss: 0.0951 (0.1107) loss_seg: 0.1012 (0.1194) loss_lansim: 0.1173 (0.1172) loss_contra: 0.0005 (0.0151) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [9] [ 580/5278] eta: 3:18:52 lr: 3.962334379981786e-05 loss: 0.0971 (0.1106) loss_seg: 0.1054 (0.1193) loss_lansim: 0.1182 (0.1174) loss_contra: 0.0004 (0.0149) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [9] [ 590/5278] eta: 3:18:28 lr: 3.962115649762345e-05 loss: 0.0971 (0.1104) loss_seg: 0.1054 (0.1191) loss_lansim: 0.1186 (0.1174) loss_contra: 0.0004 (0.0147) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [9] [ 600/5278] eta: 3:18:06 lr: 3.9618969182012184e-05 loss: 0.0906 (0.1097) loss_seg: 0.0989 (0.1183) loss_lansim: 0.1176 (0.1173) loss_contra: 0.0004 (0.0144) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [9] [ 610/5278] eta: 3:17:44 lr: 3.961678185298316e-05 loss: 0.0892 (0.1092) loss_seg: 0.0944 (0.1178) loss_lansim: 0.1182 (0.1173) loss_contra: 0.0005 (0.0142) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [9] [ 620/5278] eta: 3:17:14 lr: 3.9614594510535484e-05 loss: 0.0860 (0.1086) loss_seg: 0.0941 (0.1172) loss_lansim: 0.1182 (0.1174) loss_contra: 0.0004 (0.0140) time: 2.5536 data: 0.0025 max mem: 31671 Epoch: [9] [ 630/5278] eta: 3:16:45 lr: 3.9612407154668236e-05 loss: 0.0860 (0.1088) loss_seg: 0.0895 (0.1172) loss_lansim: 0.1176 (0.1174) loss_contra: 0.0005 (0.0149) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [9] [ 640/5278] eta: 3:16:17 lr: 3.961021978538051e-05 loss: 0.0852 (0.1084) loss_seg: 0.0888 (0.1169) loss_lansim: 0.1182 (0.1175) loss_contra: 0.0005 (0.0147) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [9] [ 650/5278] eta: 3:15:50 lr: 3.9608032402671405e-05 loss: 0.0833 (0.1082) loss_seg: 0.0882 (0.1166) loss_lansim: 0.1183 (0.1176) loss_contra: 0.0005 (0.0146) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [9] [ 660/5278] eta: 3:15:26 lr: 3.9605845006540025e-05 loss: 0.0852 (0.1083) loss_seg: 0.0923 (0.1168) loss_lansim: 0.1187 (0.1176) loss_contra: 0.0004 (0.0147) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [9] [ 670/5278] eta: 3:15:02 lr: 3.960365759698546e-05 loss: 0.0817 (0.1083) loss_seg: 0.0869 (0.1168) loss_lansim: 0.1186 (0.1177) loss_contra: 0.0003 (0.0145) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [9] [ 680/5278] eta: 3:14:37 lr: 3.960147017400678e-05 loss: 0.0840 (0.1089) loss_seg: 0.0875 (0.1175) loss_lansim: 0.1169 (0.1178) loss_contra: 0.0003 (0.0143) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [9] [ 690/5278] eta: 3:14:13 lr: 3.9599282737603104e-05 loss: 0.0848 (0.1088) loss_seg: 0.0904 (0.1174) loss_lansim: 0.1164 (0.1178) loss_contra: 0.0004 (0.0142) time: 2.5385 data: 0.0025 max mem: 31671 Epoch: [9] [ 700/5278] eta: 3:13:54 lr: 3.9597095287773515e-05 loss: 0.0848 (0.1084) loss_seg: 0.0923 (0.1169) loss_lansim: 0.1195 (0.1179) loss_contra: 0.0004 (0.0140) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [9] [ 710/5278] eta: 3:13:26 lr: 3.959490782451712e-05 loss: 0.0841 (0.1080) loss_seg: 0.0923 (0.1165) loss_lansim: 0.1195 (0.1179) loss_contra: 0.0004 (0.0148) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [9] [ 720/5278] eta: 3:13:00 lr: 3.9592720347833e-05 loss: 0.0922 (0.1082) loss_seg: 0.0941 (0.1166) loss_lansim: 0.1198 (0.1180) loss_contra: 0.0006 (0.0146) time: 2.5412 data: 0.0026 max mem: 31671 Epoch: [9] [ 730/5278] eta: 3:12:39 lr: 3.959053285772025e-05 loss: 0.0965 (0.1086) loss_seg: 0.1034 (0.1172) loss_lansim: 0.1207 (0.1182) loss_contra: 0.0008 (0.0147) time: 2.5533 data: 0.0025 max mem: 31671 Epoch: [9] [ 740/5278] eta: 3:12:17 lr: 3.9588345354177955e-05 loss: 0.0949 (0.1085) loss_seg: 0.1034 (0.1170) loss_lansim: 0.1222 (0.1182) loss_contra: 0.0007 (0.0148) time: 2.5632 data: 0.0025 max mem: 31671 Epoch: [9] [ 750/5278] eta: 3:11:52 lr: 3.958615783720524e-05 loss: 0.0922 (0.1081) loss_seg: 0.0999 (0.1166) loss_lansim: 0.1228 (0.1184) loss_contra: 0.0004 (0.0146) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [9] [ 760/5278] eta: 3:11:27 lr: 3.958397030680115e-05 loss: 0.0888 (0.1080) loss_seg: 0.0975 (0.1165) loss_lansim: 0.1228 (0.1185) loss_contra: 0.0005 (0.0145) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [9] [ 770/5278] eta: 3:11:02 lr: 3.958178276296482e-05 loss: 0.0907 (0.1085) loss_seg: 0.0999 (0.1170) loss_lansim: 0.1225 (0.1185) loss_contra: 0.0004 (0.0143) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [9] [ 780/5278] eta: 3:10:30 lr: 3.9579595205695306e-05 loss: 0.0868 (0.1085) loss_seg: 0.0961 (0.1171) loss_lansim: 0.1223 (0.1186) loss_contra: 0.0003 (0.0142) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [9] [ 790/5278] eta: 3:10:00 lr: 3.957740763499174e-05 loss: 0.0862 (0.1084) loss_seg: 0.0950 (0.1170) loss_lansim: 0.1223 (0.1187) loss_contra: 0.0002 (0.0142) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [9] [ 800/5278] eta: 3:09:35 lr: 3.957522005085318e-05 loss: 0.0907 (0.1085) loss_seg: 0.0986 (0.1170) loss_lansim: 0.1223 (0.1188) loss_contra: 0.0003 (0.0140) time: 2.5322 data: 0.0025 max mem: 31671 Epoch: [9] [ 810/5278] eta: 3:09:08 lr: 3.957303245327874e-05 loss: 0.0929 (0.1089) loss_seg: 0.1011 (0.1175) loss_lansim: 0.1236 (0.1188) loss_contra: 0.0002 (0.0138) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [9] [ 820/5278] eta: 3:08:42 lr: 3.957084484226751e-05 loss: 0.0913 (0.1090) loss_seg: 0.1005 (0.1176) loss_lansim: 0.1224 (0.1188) loss_contra: 0.0001 (0.0139) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [9] [ 830/5278] eta: 3:08:15 lr: 3.956865721781857e-05 loss: 0.0896 (0.1088) loss_seg: 0.0982 (0.1174) loss_lansim: 0.1218 (0.1188) loss_contra: 0.0001 (0.0137) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [9] [ 840/5278] eta: 3:07:49 lr: 3.956646957993102e-05 loss: 0.0896 (0.1090) loss_seg: 0.0982 (0.1176) loss_lansim: 0.1218 (0.1189) loss_contra: 0.0001 (0.0136) time: 2.5164 data: 0.0025 max mem: 31671 Epoch: [9] [ 850/5278] eta: 3:07:23 lr: 3.956428192860395e-05 loss: 0.0914 (0.1090) loss_seg: 0.1005 (0.1177) loss_lansim: 0.1218 (0.1190) loss_contra: 0.0002 (0.0135) time: 2.5155 data: 0.0025 max mem: 31671 Epoch: [9] [ 860/5278] eta: 3:06:57 lr: 3.9562094263836454e-05 loss: 0.0935 (0.1093) loss_seg: 0.1011 (0.1180) loss_lansim: 0.1218 (0.1190) loss_contra: 0.0001 (0.0135) time: 2.5113 data: 0.0025 max mem: 31671 Epoch: [9] [ 870/5278] eta: 3:06:28 lr: 3.955990658562762e-05 loss: 0.0914 (0.1094) loss_seg: 0.1003 (0.1181) loss_lansim: 0.1236 (0.1192) loss_contra: 0.0002 (0.0133) time: 2.5052 data: 0.0026 max mem: 31671 Epoch: [9] [ 880/5278] eta: 3:06:03 lr: 3.955771889397655e-05 loss: 0.0914 (0.1093) loss_seg: 0.1003 (0.1180) loss_lansim: 0.1236 (0.1193) loss_contra: 0.0002 (0.0132) time: 2.5139 data: 0.0026 max mem: 31671 Epoch: [9] [ 890/5278] eta: 3:05:36 lr: 3.955553118888232e-05 loss: 0.0905 (0.1094) loss_seg: 0.0986 (0.1181) loss_lansim: 0.1247 (0.1194) loss_contra: 0.0002 (0.0131) time: 2.5191 data: 0.0026 max mem: 31671 Epoch: [9] [ 900/5278] eta: 3:05:10 lr: 3.955334347034402e-05 loss: 0.0913 (0.1096) loss_seg: 0.1003 (0.1182) loss_lansim: 0.1253 (0.1195) loss_contra: 0.0002 (0.0135) time: 2.5186 data: 0.0026 max mem: 31671 Epoch: [9] [ 910/5278] eta: 3:04:49 lr: 3.955115573836076e-05 loss: 0.0901 (0.1092) loss_seg: 0.0982 (0.1178) loss_lansim: 0.1256 (0.1195) loss_contra: 0.0002 (0.0134) time: 2.5308 data: 0.0026 max mem: 31671 Epoch: [9] [ 920/5278] eta: 3:04:23 lr: 3.954896799293162e-05 loss: 0.0884 (0.1090) loss_seg: 0.0947 (0.1175) loss_lansim: 0.1263 (0.1196) loss_contra: 0.0002 (0.0136) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [9] [ 930/5278] eta: 3:03:57 lr: 3.954678023405569e-05 loss: 0.0884 (0.1088) loss_seg: 0.0974 (0.1173) loss_lansim: 0.1266 (0.1196) loss_contra: 0.0003 (0.0140) time: 2.5298 data: 0.0026 max mem: 31671 Epoch: [9] [ 940/5278] eta: 3:03:32 lr: 3.9544592461732065e-05 loss: 0.0901 (0.1086) loss_seg: 0.0990 (0.1172) loss_lansim: 0.1265 (0.1197) loss_contra: 0.0003 (0.0140) time: 2.5326 data: 0.0026 max mem: 31671 Epoch: [9] [ 950/5278] eta: 3:03:09 lr: 3.9542404675959824e-05 loss: 0.0887 (0.1084) loss_seg: 0.0974 (0.1169) loss_lansim: 0.1265 (0.1199) loss_contra: 0.0003 (0.0139) time: 2.5377 data: 0.0026 max mem: 31671 Epoch: [9] [ 960/5278] eta: 3:02:43 lr: 3.9540216876738076e-05 loss: 0.0871 (0.1082) loss_seg: 0.0947 (0.1168) loss_lansim: 0.1279 (0.1200) loss_contra: 0.0003 (0.0138) time: 2.5402 data: 0.0026 max mem: 31671 Epoch: [9] [ 970/5278] eta: 3:02:19 lr: 3.95380290640659e-05 loss: 0.0854 (0.1079) loss_seg: 0.0925 (0.1164) loss_lansim: 0.1278 (0.1200) loss_contra: 0.0003 (0.0137) time: 2.5485 data: 0.0026 max mem: 31671 Epoch: [9] [ 980/5278] eta: 3:01:52 lr: 3.953584123794239e-05 loss: 0.0854 (0.1077) loss_seg: 0.0909 (0.1162) loss_lansim: 0.1266 (0.1200) loss_contra: 0.0003 (0.0136) time: 2.5449 data: 0.0026 max mem: 31671 Epoch: [9] [ 990/5278] eta: 3:01:26 lr: 3.953365339836663e-05 loss: 0.0860 (0.1074) loss_seg: 0.0942 (0.1160) loss_lansim: 0.1266 (0.1201) loss_contra: 0.0004 (0.0136) time: 2.5466 data: 0.0026 max mem: 31671 Epoch: [9] [1000/5278] eta: 3:01:01 lr: 3.953146554533772e-05 loss: 0.0842 (0.1074) loss_seg: 0.0909 (0.1160) loss_lansim: 0.1266 (0.1202) loss_contra: 0.0006 (0.0135) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [9] [1010/5278] eta: 3:00:34 lr: 3.9529277678854744e-05 loss: 0.0860 (0.1073) loss_seg: 0.0942 (0.1158) loss_lansim: 0.1255 (0.1202) loss_contra: 0.0005 (0.0136) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [9] [1020/5278] eta: 3:00:07 lr: 3.9527089798916786e-05 loss: 0.0881 (0.1076) loss_seg: 0.0957 (0.1160) loss_lansim: 0.1265 (0.1203) loss_contra: 0.0004 (0.0134) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [9] [1030/5278] eta: 2:59:39 lr: 3.9524901905522945e-05 loss: 0.0887 (0.1078) loss_seg: 0.0957 (0.1163) loss_lansim: 0.1279 (0.1204) loss_contra: 0.0003 (0.0134) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [9] [1040/5278] eta: 2:59:15 lr: 3.952271399867231e-05 loss: 0.0907 (0.1078) loss_seg: 0.0981 (0.1164) loss_lansim: 0.1289 (0.1206) loss_contra: 0.0003 (0.0133) time: 2.5299 data: 0.0025 max mem: 31671 Epoch: [9] [1050/5278] eta: 2:58:48 lr: 3.9520526078363965e-05 loss: 0.0925 (0.1078) loss_seg: 0.1004 (0.1163) loss_lansim: 0.1284 (0.1207) loss_contra: 0.0003 (0.0132) time: 2.5230 data: 0.0025 max mem: 31671 Epoch: [9] [1060/5278] eta: 2:58:21 lr: 3.9518338144597e-05 loss: 0.0929 (0.1082) loss_seg: 0.1023 (0.1168) loss_lansim: 0.1270 (0.1207) loss_contra: 0.0003 (0.0131) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [9] [1070/5278] eta: 2:57:54 lr: 3.951615019737052e-05 loss: 0.0954 (0.1083) loss_seg: 0.1054 (0.1169) loss_lansim: 0.1256 (0.1207) loss_contra: 0.0003 (0.0130) time: 2.5115 data: 0.0025 max mem: 31671 Epoch: [9] [1080/5278] eta: 2:57:27 lr: 3.951396223668359e-05 loss: 0.0953 (0.1084) loss_seg: 0.1054 (0.1170) loss_lansim: 0.1284 (0.1209) loss_contra: 0.0003 (0.0129) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [9] [1090/5278] eta: 2:57:03 lr: 3.951177426253531e-05 loss: 0.1010 (0.1089) loss_seg: 0.1118 (0.1175) loss_lansim: 0.1284 (0.1210) loss_contra: 0.0003 (0.0128) time: 2.5157 data: 0.0025 max mem: 31671 Epoch: [9] [1100/5278] eta: 2:56:35 lr: 3.950958627492477e-05 loss: 0.1042 (0.1092) loss_seg: 0.1153 (0.1179) loss_lansim: 0.1286 (0.1211) loss_contra: 0.0002 (0.0127) time: 2.5052 data: 0.0025 max mem: 31671 Epoch: [9] [1110/5278] eta: 2:56:11 lr: 3.950739827385106e-05 loss: 0.1032 (0.1091) loss_seg: 0.1143 (0.1177) loss_lansim: 0.1282 (0.1211) loss_contra: 0.0003 (0.0133) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [9] [1120/5278] eta: 2:55:48 lr: 3.950521025931327e-05 loss: 0.1002 (0.1090) loss_seg: 0.1113 (0.1177) loss_lansim: 0.1279 (0.1212) loss_contra: 0.0002 (0.0133) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [9] [1130/5278] eta: 2:55:21 lr: 3.950302223131048e-05 loss: 0.1010 (0.1092) loss_seg: 0.1113 (0.1178) loss_lansim: 0.1279 (0.1213) loss_contra: 0.0004 (0.0134) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [9] [1140/5278] eta: 2:54:54 lr: 3.950083418984179e-05 loss: 0.1064 (0.1094) loss_seg: 0.1153 (0.1180) loss_lansim: 0.1273 (0.1214) loss_contra: 0.0005 (0.0133) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [9] [1150/5278] eta: 2:54:26 lr: 3.949864613490627e-05 loss: 0.1059 (0.1095) loss_seg: 0.1142 (0.1181) loss_lansim: 0.1279 (0.1215) loss_contra: 0.0006 (0.0132) time: 2.5141 data: 0.0026 max mem: 31671 Epoch: [9] [1160/5278] eta: 2:53:57 lr: 3.9496458066503025e-05 loss: 0.1016 (0.1093) loss_seg: 0.1086 (0.1179) loss_lansim: 0.1284 (0.1216) loss_contra: 0.0006 (0.0131) time: 2.5088 data: 0.0025 max mem: 31671 Epoch: [9] [1170/5278] eta: 2:53:32 lr: 3.9494269984631146e-05 loss: 0.0985 (0.1095) loss_seg: 0.1072 (0.1181) loss_lansim: 0.1288 (0.1217) loss_contra: 0.0008 (0.0131) time: 2.5113 data: 0.0026 max mem: 31671 Epoch: [9] [1180/5278] eta: 2:53:07 lr: 3.949208188928971e-05 loss: 0.1038 (0.1096) loss_seg: 0.1086 (0.1182) loss_lansim: 0.1284 (0.1217) loss_contra: 0.0009 (0.0130) time: 2.5179 data: 0.0026 max mem: 31671 Epoch: [9] [1190/5278] eta: 2:52:39 lr: 3.94898937804778e-05 loss: 0.0954 (0.1094) loss_seg: 0.1049 (0.1180) loss_lansim: 0.1273 (0.1217) loss_contra: 0.0009 (0.0130) time: 2.5051 data: 0.0026 max mem: 31671 Epoch: [9] [1200/5278] eta: 2:52:11 lr: 3.948770565819452e-05 loss: 0.0954 (0.1096) loss_seg: 0.1049 (0.1182) loss_lansim: 0.1273 (0.1218) loss_contra: 0.0010 (0.0130) time: 2.5077 data: 0.0026 max mem: 31671 Epoch: [9] [1210/5278] eta: 2:51:45 lr: 3.9485517522438944e-05 loss: 0.0970 (0.1095) loss_seg: 0.1056 (0.1181) loss_lansim: 0.1250 (0.1218) loss_contra: 0.0012 (0.0129) time: 2.4997 data: 0.0026 max mem: 31671 Epoch: [9] [1220/5278] eta: 2:51:18 lr: 3.948332937321017e-05 loss: 0.1009 (0.1096) loss_seg: 0.1086 (0.1182) loss_lansim: 0.1287 (0.1220) loss_contra: 0.0008 (0.0128) time: 2.4861 data: 0.0026 max mem: 31671 Epoch: [9] [1230/5278] eta: 2:50:50 lr: 3.948114121050728e-05 loss: 0.1010 (0.1100) loss_seg: 0.1109 (0.1185) loss_lansim: 0.1287 (0.1221) loss_contra: 0.0008 (0.0128) time: 2.4840 data: 0.0026 max mem: 31671 Epoch: [9] [1240/5278] eta: 2:50:24 lr: 3.9478953034329355e-05 loss: 0.0985 (0.1099) loss_seg: 0.1066 (0.1185) loss_lansim: 0.1301 (0.1222) loss_contra: 0.0008 (0.0127) time: 2.4876 data: 0.0026 max mem: 31671 Epoch: [9] [1250/5278] eta: 2:50:00 lr: 3.9476764844675495e-05 loss: 0.0985 (0.1099) loss_seg: 0.1091 (0.1185) loss_lansim: 0.1278 (0.1222) loss_contra: 0.0008 (0.0127) time: 2.4950 data: 0.0026 max mem: 31671 Epoch: [9] [1260/5278] eta: 2:49:36 lr: 3.947457664154478e-05 loss: 0.1011 (0.1099) loss_seg: 0.1121 (0.1186) loss_lansim: 0.1258 (0.1222) loss_contra: 0.0009 (0.0126) time: 2.5097 data: 0.0026 max mem: 31671 Epoch: [9] [1270/5278] eta: 2:49:09 lr: 3.9472388424936296e-05 loss: 0.1022 (0.1099) loss_seg: 0.1131 (0.1185) loss_lansim: 0.1243 (0.1222) loss_contra: 0.0008 (0.0125) time: 2.5057 data: 0.0026 max mem: 31671 Epoch: [9] [1280/5278] eta: 2:48:44 lr: 3.947020019484913e-05 loss: 0.1011 (0.1099) loss_seg: 0.1121 (0.1185) loss_lansim: 0.1285 (0.1223) loss_contra: 0.0007 (0.0124) time: 2.5055 data: 0.0026 max mem: 31671 Epoch: [9] [1290/5278] eta: 2:48:19 lr: 3.9468011951282366e-05 loss: 0.1074 (0.1102) loss_seg: 0.1192 (0.1189) loss_lansim: 0.1288 (0.1224) loss_contra: 0.0005 (0.0124) time: 2.5138 data: 0.0026 max mem: 31671 Epoch: [9] [1300/5278] eta: 2:47:54 lr: 3.946582369423511e-05 loss: 0.1022 (0.1101) loss_seg: 0.1131 (0.1188) loss_lansim: 0.1278 (0.1224) loss_contra: 0.0005 (0.0125) time: 2.5202 data: 0.0026 max mem: 31671 Epoch: [9] [1310/5278] eta: 2:47:27 lr: 3.946363542370642e-05 loss: 0.1067 (0.1104) loss_seg: 0.1181 (0.1191) loss_lansim: 0.1298 (0.1224) loss_contra: 0.0004 (0.0124) time: 2.5171 data: 0.0027 max mem: 31671 Epoch: [9] [1320/5278] eta: 2:47:03 lr: 3.94614471396954e-05 loss: 0.1058 (0.1103) loss_seg: 0.1172 (0.1190) loss_lansim: 0.1285 (0.1226) loss_contra: 0.0004 (0.0124) time: 2.5268 data: 0.0026 max mem: 31671 Epoch: [9] [1330/5278] eta: 2:46:36 lr: 3.9459258842201134e-05 loss: 0.1058 (0.1106) loss_seg: 0.1170 (0.1193) loss_lansim: 0.1258 (0.1225) loss_contra: 0.0004 (0.0123) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [9] [1340/5278] eta: 2:46:09 lr: 3.94570705312227e-05 loss: 0.1074 (0.1109) loss_seg: 0.1192 (0.1197) loss_lansim: 0.1259 (0.1226) loss_contra: 0.0003 (0.0122) time: 2.5246 data: 0.0026 max mem: 31671 Epoch: [9] [1350/5278] eta: 2:45:46 lr: 3.945488220675919e-05 loss: 0.1074 (0.1109) loss_seg: 0.1192 (0.1197) loss_lansim: 0.1271 (0.1228) loss_contra: 0.0002 (0.0121) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [9] [1360/5278] eta: 2:45:22 lr: 3.9452693868809693e-05 loss: 0.1079 (0.1111) loss_seg: 0.1196 (0.1199) loss_lansim: 0.1285 (0.1229) loss_contra: 0.0002 (0.0122) time: 2.5289 data: 0.0026 max mem: 31671 Epoch: [9] [1370/5278] eta: 2:44:55 lr: 3.945050551737329e-05 loss: 0.1058 (0.1109) loss_seg: 0.1164 (0.1197) loss_lansim: 0.1295 (0.1230) loss_contra: 0.0002 (0.0122) time: 2.5308 data: 0.0026 max mem: 31671 Epoch: [9] [1380/5278] eta: 2:44:31 lr: 3.944831715244907e-05 loss: 0.1045 (0.1108) loss_seg: 0.1152 (0.1195) loss_lansim: 0.1266 (0.1230) loss_contra: 0.0002 (0.0121) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [9] [1390/5278] eta: 2:44:07 lr: 3.944612877403612e-05 loss: 0.1039 (0.1110) loss_seg: 0.1123 (0.1198) loss_lansim: 0.1266 (0.1231) loss_contra: 0.0002 (0.0120) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [9] [1400/5278] eta: 2:43:41 lr: 3.9443940382133506e-05 loss: 0.1045 (0.1110) loss_seg: 0.1152 (0.1198) loss_lansim: 0.1299 (0.1232) loss_contra: 0.0002 (0.0120) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [9] [1410/5278] eta: 2:43:17 lr: 3.944175197674034e-05 loss: 0.1039 (0.1111) loss_seg: 0.1123 (0.1199) loss_lansim: 0.1295 (0.1232) loss_contra: 0.0001 (0.0132) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [9] [1420/5278] eta: 2:42:49 lr: 3.9439563557855696e-05 loss: 0.1045 (0.1112) loss_seg: 0.1150 (0.1200) loss_lansim: 0.1299 (0.1233) loss_contra: 0.0002 (0.0131) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [9] [1430/5278] eta: 2:42:24 lr: 3.943737512547866e-05 loss: 0.1046 (0.1115) loss_seg: 0.1159 (0.1203) loss_lansim: 0.1316 (0.1234) loss_contra: 0.0002 (0.0133) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [9] [1440/5278] eta: 2:41:58 lr: 3.943518667960832e-05 loss: 0.0999 (0.1114) loss_seg: 0.1054 (0.1201) loss_lansim: 0.1322 (0.1234) loss_contra: 0.0002 (0.0141) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [9] [1450/5278] eta: 2:41:33 lr: 3.943299822024375e-05 loss: 0.0967 (0.1113) loss_seg: 0.1031 (0.1201) loss_lansim: 0.1311 (0.1234) loss_contra: 0.0003 (0.0140) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [9] [1460/5278] eta: 2:41:06 lr: 3.9430809747384054e-05 loss: 0.0956 (0.1113) loss_seg: 0.1020 (0.1201) loss_lansim: 0.1284 (0.1234) loss_contra: 0.0003 (0.0140) time: 2.5246 data: 0.0025 max mem: 31671 Epoch: [9] [1470/5278] eta: 2:40:42 lr: 3.942862126102829e-05 loss: 0.0956 (0.1113) loss_seg: 0.1020 (0.1201) loss_lansim: 0.1273 (0.1234) loss_contra: 0.0003 (0.0139) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [9] [1480/5278] eta: 2:40:18 lr: 3.942643276117556e-05 loss: 0.0967 (0.1112) loss_seg: 0.1053 (0.1200) loss_lansim: 0.1262 (0.1234) loss_contra: 0.0003 (0.0138) time: 2.5345 data: 0.0026 max mem: 31671 Epoch: [9] [1490/5278] eta: 2:39:53 lr: 3.942424424782494e-05 loss: 0.0956 (0.1111) loss_seg: 0.1023 (0.1199) loss_lansim: 0.1252 (0.1234) loss_contra: 0.0005 (0.0139) time: 2.5311 data: 0.0026 max mem: 31671 Epoch: [9] [1500/5278] eta: 2:39:26 lr: 3.9422055720975525e-05 loss: 0.0920 (0.1110) loss_seg: 0.1014 (0.1197) loss_lansim: 0.1221 (0.1234) loss_contra: 0.0006 (0.0139) time: 2.5224 data: 0.0026 max mem: 31671 Epoch: [9] [1510/5278] eta: 2:39:01 lr: 3.9419867180626396e-05 loss: 0.0920 (0.1109) loss_seg: 0.1014 (0.1196) loss_lansim: 0.1197 (0.1233) loss_contra: 0.0007 (0.0138) time: 2.5231 data: 0.0026 max mem: 31671 Epoch: [9] [1520/5278] eta: 2:38:35 lr: 3.9417678626776626e-05 loss: 0.0914 (0.1108) loss_seg: 0.1003 (0.1196) loss_lansim: 0.1194 (0.1233) loss_contra: 0.0005 (0.0137) time: 2.5294 data: 0.0026 max mem: 31671 Epoch: [9] [1530/5278] eta: 2:38:09 lr: 3.941549005942531e-05 loss: 0.0914 (0.1108) loss_seg: 0.1003 (0.1196) loss_lansim: 0.1174 (0.1233) loss_contra: 0.0006 (0.0147) time: 2.5280 data: 0.0026 max mem: 31671 Epoch: [9] [1540/5278] eta: 2:37:42 lr: 3.9413301478571535e-05 loss: 0.0943 (0.1110) loss_seg: 0.1020 (0.1198) loss_lansim: 0.1165 (0.1234) loss_contra: 0.0009 (0.0146) time: 2.5192 data: 0.0026 max mem: 31671 Epoch: [9] [1550/5278] eta: 2:37:19 lr: 3.941111288421437e-05 loss: 0.0943 (0.1109) loss_seg: 0.1023 (0.1197) loss_lansim: 0.1165 (0.1234) loss_contra: 0.0009 (0.0147) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [9] [1560/5278] eta: 2:36:52 lr: 3.940892427635291e-05 loss: 0.0956 (0.1109) loss_seg: 0.1047 (0.1196) loss_lansim: 0.1178 (0.1235) loss_contra: 0.0006 (0.0146) time: 2.5291 data: 0.0026 max mem: 31671 Epoch: [9] [1570/5278] eta: 2:36:26 lr: 3.940673565498624e-05 loss: 0.0984 (0.1111) loss_seg: 0.1090 (0.1199) loss_lansim: 0.1178 (0.1234) loss_contra: 0.0007 (0.0146) time: 2.5171 data: 0.0026 max mem: 31671 Epoch: [9] [1580/5278] eta: 2:36:00 lr: 3.940454702011343e-05 loss: 0.0988 (0.1113) loss_seg: 0.1094 (0.1201) loss_lansim: 0.1189 (0.1234) loss_contra: 0.0010 (0.0147) time: 2.5093 data: 0.0025 max mem: 31671 Epoch: [9] [1590/5278] eta: 2:35:35 lr: 3.9402358371733574e-05 loss: 0.0984 (0.1111) loss_seg: 0.1090 (0.1199) loss_lansim: 0.1198 (0.1234) loss_contra: 0.0008 (0.0148) time: 2.5121 data: 0.0025 max mem: 31671 Epoch: [9] [1600/5278] eta: 2:35:10 lr: 3.9400169709845754e-05 loss: 0.1035 (0.1111) loss_seg: 0.1127 (0.1199) loss_lansim: 0.1194 (0.1233) loss_contra: 0.0007 (0.0155) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [9] [1610/5278] eta: 2:34:44 lr: 3.939798103444905e-05 loss: 0.1037 (0.1110) loss_seg: 0.1133 (0.1198) loss_lansim: 0.1206 (0.1233) loss_contra: 0.0007 (0.0162) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [9] [1620/5278] eta: 2:34:18 lr: 3.939579234554255e-05 loss: 0.1037 (0.1110) loss_seg: 0.1145 (0.1198) loss_lansim: 0.1198 (0.1233) loss_contra: 0.0007 (0.0161) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [9] [1630/5278] eta: 2:33:53 lr: 3.939360364312532e-05 loss: 0.0988 (0.1108) loss_seg: 0.1094 (0.1196) loss_lansim: 0.1189 (0.1232) loss_contra: 0.0005 (0.0160) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [9] [1640/5278] eta: 2:33:27 lr: 3.939141492719647e-05 loss: 0.0988 (0.1109) loss_seg: 0.1069 (0.1196) loss_lansim: 0.1194 (0.1232) loss_contra: 0.0004 (0.0161) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [9] [1650/5278] eta: 2:33:01 lr: 3.9389226197755064e-05 loss: 0.0964 (0.1108) loss_seg: 0.1017 (0.1196) loss_lansim: 0.1180 (0.1232) loss_contra: 0.0004 (0.0160) time: 2.5109 data: 0.0025 max mem: 31671 Epoch: [9] [1660/5278] eta: 2:32:36 lr: 3.938703745480019e-05 loss: 0.0964 (0.1108) loss_seg: 0.1017 (0.1195) loss_lansim: 0.1186 (0.1234) loss_contra: 0.0005 (0.0159) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [9] [1670/5278] eta: 2:32:10 lr: 3.938484869833092e-05 loss: 0.0907 (0.1107) loss_seg: 0.0987 (0.1194) loss_lansim: 0.1216 (0.1236) loss_contra: 0.0006 (0.0159) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [9] [1680/5278] eta: 2:31:44 lr: 3.938265992834635e-05 loss: 0.0956 (0.1107) loss_seg: 0.1003 (0.1195) loss_lansim: 0.1246 (0.1238) loss_contra: 0.0003 (0.0158) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [9] [1690/5278] eta: 2:31:18 lr: 3.9380471144845555e-05 loss: 0.1014 (0.1109) loss_seg: 0.1069 (0.1197) loss_lansim: 0.1281 (0.1239) loss_contra: 0.0004 (0.0159) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [9] [1700/5278] eta: 2:30:52 lr: 3.9378282347827615e-05 loss: 0.1014 (0.1110) loss_seg: 0.1059 (0.1198) loss_lansim: 0.1327 (0.1241) loss_contra: 0.0005 (0.0159) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [9] [1710/5278] eta: 2:30:27 lr: 3.937609353729161e-05 loss: 0.1041 (0.1112) loss_seg: 0.1122 (0.1200) loss_lansim: 0.1332 (0.1241) loss_contra: 0.0003 (0.0158) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [9] [1720/5278] eta: 2:30:02 lr: 3.937390471323664e-05 loss: 0.1049 (0.1113) loss_seg: 0.1127 (0.1201) loss_lansim: 0.1345 (0.1242) loss_contra: 0.0003 (0.0158) time: 2.5151 data: 0.0025 max mem: 31671 Epoch: [9] [1730/5278] eta: 2:29:37 lr: 3.937171587566177e-05 loss: 0.1041 (0.1112) loss_seg: 0.1122 (0.1200) loss_lansim: 0.1366 (0.1244) loss_contra: 0.0003 (0.0157) time: 2.5180 data: 0.0025 max mem: 31671 Epoch: [9] [1740/5278] eta: 2:29:13 lr: 3.936952702456608e-05 loss: 0.1021 (0.1112) loss_seg: 0.1111 (0.1200) loss_lansim: 0.1388 (0.1244) loss_contra: 0.0003 (0.0160) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [9] [1750/5278] eta: 2:28:47 lr: 3.9367338159948656e-05 loss: 0.1073 (0.1114) loss_seg: 0.1130 (0.1202) loss_lansim: 0.1436 (0.1246) loss_contra: 0.0003 (0.0159) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [9] [1760/5278] eta: 2:28:21 lr: 3.936514928180858e-05 loss: 0.1088 (0.1115) loss_seg: 0.1130 (0.1203) loss_lansim: 0.1440 (0.1247) loss_contra: 0.0003 (0.0158) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [9] [1770/5278] eta: 2:27:55 lr: 3.936296039014493e-05 loss: 0.1121 (0.1115) loss_seg: 0.1142 (0.1204) loss_lansim: 0.1450 (0.1249) loss_contra: 0.0002 (0.0158) time: 2.5240 data: 0.0026 max mem: 31671 Epoch: [9] [1780/5278] eta: 2:27:30 lr: 3.936077148495678e-05 loss: 0.1073 (0.1115) loss_seg: 0.1122 (0.1203) loss_lansim: 0.1488 (0.1252) loss_contra: 0.0003 (0.0158) time: 2.5225 data: 0.0026 max mem: 31671 Epoch: [9] [1790/5278] eta: 2:27:05 lr: 3.935858256624323e-05 loss: 0.1018 (0.1116) loss_seg: 0.1110 (0.1205) loss_lansim: 0.1500 (0.1254) loss_contra: 0.0004 (0.0159) time: 2.5280 data: 0.0026 max mem: 31671 Epoch: [9] [1800/5278] eta: 2:26:39 lr: 3.9356393634003343e-05 loss: 0.1018 (0.1116) loss_seg: 0.1110 (0.1205) loss_lansim: 0.1484 (0.1255) loss_contra: 0.0003 (0.0158) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [9] [1810/5278] eta: 2:26:14 lr: 3.935420468823621e-05 loss: 0.1002 (0.1115) loss_seg: 0.1102 (0.1204) loss_lansim: 0.1473 (0.1254) loss_contra: 0.0004 (0.0159) time: 2.5337 data: 0.0026 max mem: 31671 Epoch: [9] [1820/5278] eta: 2:25:48 lr: 3.935201572894091e-05 loss: 0.0998 (0.1115) loss_seg: 0.1079 (0.1204) loss_lansim: 0.1469 (0.1255) loss_contra: 0.0005 (0.0158) time: 2.5294 data: 0.0026 max mem: 31671 Epoch: [9] [1830/5278] eta: 2:25:22 lr: 3.934982675611652e-05 loss: 0.0995 (0.1115) loss_seg: 0.1079 (0.1203) loss_lansim: 0.1431 (0.1254) loss_contra: 0.0010 (0.0158) time: 2.5195 data: 0.0026 max mem: 31671 Epoch: [9] [1840/5278] eta: 2:24:56 lr: 3.934763776976211e-05 loss: 0.0995 (0.1115) loss_seg: 0.1085 (0.1204) loss_lansim: 0.1410 (0.1254) loss_contra: 0.0012 (0.0157) time: 2.5134 data: 0.0025 max mem: 31671 Epoch: [9] [1850/5278] eta: 2:24:32 lr: 3.934544876987678e-05 loss: 0.0914 (0.1113) loss_seg: 0.0995 (0.1202) loss_lansim: 0.1359 (0.1254) loss_contra: 0.0010 (0.0158) time: 2.5219 data: 0.0026 max mem: 31671 Epoch: [9] [1860/5278] eta: 2:24:06 lr: 3.93432597564596e-05 loss: 0.0933 (0.1113) loss_seg: 0.1001 (0.1201) loss_lansim: 0.1314 (0.1253) loss_contra: 0.0011 (0.0159) time: 2.5167 data: 0.0026 max mem: 31671 Epoch: [9] [1870/5278] eta: 2:23:39 lr: 3.9341070729509646e-05 loss: 0.0914 (0.1113) loss_seg: 0.0995 (0.1202) loss_lansim: 0.1225 (0.1252) loss_contra: 0.0012 (0.0160) time: 2.5144 data: 0.0025 max mem: 31671 Epoch: [9] [1880/5278] eta: 2:23:13 lr: 3.933888168902602e-05 loss: 0.0946 (0.1115) loss_seg: 0.1047 (0.1204) loss_lansim: 0.1189 (0.1252) loss_contra: 0.0013 (0.0160) time: 2.5116 data: 0.0025 max mem: 31671 Epoch: [9] [1890/5278] eta: 2:22:47 lr: 3.933669263500776e-05 loss: 0.0940 (0.1115) loss_seg: 0.1006 (0.1203) loss_lansim: 0.1184 (0.1252) loss_contra: 0.0013 (0.0161) time: 2.5034 data: 0.0025 max mem: 31671 Epoch: [9] [1900/5278] eta: 2:22:22 lr: 3.933450356745398e-05 loss: 0.0903 (0.1114) loss_seg: 0.0995 (0.1202) loss_lansim: 0.1175 (0.1251) loss_contra: 0.0014 (0.0161) time: 2.5047 data: 0.0025 max mem: 31671 Epoch: [9] [1910/5278] eta: 2:21:55 lr: 3.9332314486363744e-05 loss: 0.0940 (0.1114) loss_seg: 0.1006 (0.1202) loss_lansim: 0.1161 (0.1251) loss_contra: 0.0011 (0.0161) time: 2.4968 data: 0.0025 max mem: 31671 Epoch: [9] [1920/5278] eta: 2:21:30 lr: 3.933012539173614e-05 loss: 0.0933 (0.1114) loss_seg: 0.0995 (0.1202) loss_lansim: 0.1155 (0.1251) loss_contra: 0.0009 (0.0161) time: 2.4986 data: 0.0025 max mem: 31671 Epoch: [9] [1930/5278] eta: 2:21:05 lr: 3.932793628357025e-05 loss: 0.0946 (0.1116) loss_seg: 0.1047 (0.1204) loss_lansim: 0.1155 (0.1250) loss_contra: 0.0007 (0.0161) time: 2.5061 data: 0.0025 max mem: 31671 Epoch: [9] [1940/5278] eta: 2:20:40 lr: 3.9325747161865134e-05 loss: 0.0950 (0.1116) loss_seg: 0.1047 (0.1204) loss_lansim: 0.1151 (0.1250) loss_contra: 0.0009 (0.0160) time: 2.5098 data: 0.0025 max mem: 31671 Epoch: [9] [1950/5278] eta: 2:20:15 lr: 3.932355802661989e-05 loss: 0.1028 (0.1116) loss_seg: 0.1103 (0.1205) loss_lansim: 0.1151 (0.1250) loss_contra: 0.0007 (0.0160) time: 2.5047 data: 0.0025 max mem: 31671 Epoch: [9] [1960/5278] eta: 2:19:48 lr: 3.9321368877833584e-05 loss: 0.1028 (0.1116) loss_seg: 0.1103 (0.1204) loss_lansim: 0.1161 (0.1250) loss_contra: 0.0007 (0.0159) time: 2.5006 data: 0.0025 max mem: 31671 Epoch: [9] [1970/5278] eta: 2:19:22 lr: 3.93191797155053e-05 loss: 0.1039 (0.1118) loss_seg: 0.1123 (0.1206) loss_lansim: 0.1171 (0.1250) loss_contra: 0.0005 (0.0159) time: 2.5056 data: 0.0025 max mem: 31671 Epoch: [9] [1980/5278] eta: 2:18:58 lr: 3.9316990539634115e-05 loss: 0.1016 (0.1117) loss_seg: 0.1103 (0.1206) loss_lansim: 0.1176 (0.1250) loss_contra: 0.0004 (0.0158) time: 2.5152 data: 0.0026 max mem: 31671 Epoch: [9] [1990/5278] eta: 2:18:33 lr: 3.9314801350219116e-05 loss: 0.1016 (0.1117) loss_seg: 0.1103 (0.1205) loss_lansim: 0.1176 (0.1249) loss_contra: 0.0005 (0.0158) time: 2.5198 data: 0.0026 max mem: 31671 Epoch: [9] [2000/5278] eta: 2:18:06 lr: 3.931261214725937e-05 loss: 0.1016 (0.1116) loss_seg: 0.1109 (0.1205) loss_lansim: 0.1187 (0.1249) loss_contra: 0.0005 (0.0158) time: 2.5124 data: 0.0026 max mem: 31671 Epoch: [9] [2010/5278] eta: 2:17:40 lr: 3.931042293075396e-05 loss: 0.1028 (0.1117) loss_seg: 0.1127 (0.1206) loss_lansim: 0.1224 (0.1250) loss_contra: 0.0005 (0.0158) time: 2.5147 data: 0.0026 max mem: 31671 Epoch: [9] [2020/5278] eta: 2:17:15 lr: 3.930823370070196e-05 loss: 0.1061 (0.1118) loss_seg: 0.1173 (0.1206) loss_lansim: 0.1194 (0.1249) loss_contra: 0.0006 (0.0162) time: 2.5140 data: 0.0026 max mem: 31671 Epoch: [9] [2030/5278] eta: 2:16:50 lr: 3.9306044457102455e-05 loss: 0.1016 (0.1117) loss_seg: 0.1109 (0.1205) loss_lansim: 0.1182 (0.1248) loss_contra: 0.0005 (0.0163) time: 2.5152 data: 0.0026 max mem: 31671 Epoch: [9] [2040/5278] eta: 2:16:24 lr: 3.930385519995452e-05 loss: 0.1061 (0.1118) loss_seg: 0.1129 (0.1207) loss_lansim: 0.1182 (0.1248) loss_contra: 0.0005 (0.0162) time: 2.5090 data: 0.0026 max mem: 31671 Epoch: [9] [2050/5278] eta: 2:15:59 lr: 3.930166592925723e-05 loss: 0.1000 (0.1117) loss_seg: 0.1067 (0.1206) loss_lansim: 0.1160 (0.1247) loss_contra: 0.0005 (0.0166) time: 2.5094 data: 0.0026 max mem: 31671 Epoch: [9] [2060/5278] eta: 2:15:33 lr: 3.929947664500965e-05 loss: 0.1000 (0.1118) loss_seg: 0.1084 (0.1207) loss_lansim: 0.1147 (0.1247) loss_contra: 0.0005 (0.0165) time: 2.5163 data: 0.0026 max mem: 31671 Epoch: [9] [2070/5278] eta: 2:15:08 lr: 3.9297287347210886e-05 loss: 0.1000 (0.1119) loss_seg: 0.1084 (0.1208) loss_lansim: 0.1144 (0.1246) loss_contra: 0.0005 (0.0165) time: 2.5195 data: 0.0026 max mem: 31671 Epoch: [9] [2080/5278] eta: 2:14:43 lr: 3.929509803586e-05 loss: 0.1016 (0.1120) loss_seg: 0.1129 (0.1209) loss_lansim: 0.1144 (0.1246) loss_contra: 0.0006 (0.0165) time: 2.5135 data: 0.0025 max mem: 31671 Epoch: [9] [2090/5278] eta: 2:14:19 lr: 3.929290871095607e-05 loss: 0.1063 (0.1122) loss_seg: 0.1178 (0.1211) loss_lansim: 0.1144 (0.1246) loss_contra: 0.0005 (0.0164) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [9] [2100/5278] eta: 2:13:53 lr: 3.9290719372498166e-05 loss: 0.1077 (0.1122) loss_seg: 0.1193 (0.1211) loss_lansim: 0.1133 (0.1246) loss_contra: 0.0004 (0.0164) time: 2.5230 data: 0.0025 max mem: 31671 Epoch: [9] [2110/5278] eta: 2:13:27 lr: 3.9288530020485374e-05 loss: 0.1016 (0.1121) loss_seg: 0.1129 (0.1210) loss_lansim: 0.1133 (0.1246) loss_contra: 0.0005 (0.0164) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [9] [2120/5278] eta: 2:13:01 lr: 3.9286340654916774e-05 loss: 0.1016 (0.1120) loss_seg: 0.1100 (0.1209) loss_lansim: 0.1133 (0.1245) loss_contra: 0.0004 (0.0163) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [9] [2130/5278] eta: 2:12:36 lr: 3.9284151275791426e-05 loss: 0.1045 (0.1120) loss_seg: 0.1111 (0.1209) loss_lansim: 0.1147 (0.1245) loss_contra: 0.0003 (0.0163) time: 2.5202 data: 0.0026 max mem: 31671 Epoch: [9] [2140/5278] eta: 2:12:12 lr: 3.928196188310843e-05 loss: 0.1010 (0.1119) loss_seg: 0.1084 (0.1209) loss_lansim: 0.1160 (0.1245) loss_contra: 0.0003 (0.0163) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [9] [2150/5278] eta: 2:11:48 lr: 3.927977247686684e-05 loss: 0.1010 (0.1119) loss_seg: 0.1100 (0.1208) loss_lansim: 0.1170 (0.1244) loss_contra: 0.0002 (0.0162) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [9] [2160/5278] eta: 2:11:23 lr: 3.9277583057065746e-05 loss: 0.1002 (0.1118) loss_seg: 0.1080 (0.1207) loss_lansim: 0.1150 (0.1244) loss_contra: 0.0002 (0.0162) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [9] [2170/5278] eta: 2:10:59 lr: 3.927539362370423e-05 loss: 0.0992 (0.1118) loss_seg: 0.1080 (0.1207) loss_lansim: 0.1158 (0.1244) loss_contra: 0.0003 (0.0162) time: 2.5543 data: 0.0025 max mem: 31671 Epoch: [9] [2180/5278] eta: 2:10:35 lr: 3.927320417678134e-05 loss: 0.0981 (0.1117) loss_seg: 0.1066 (0.1206) loss_lansim: 0.1158 (0.1243) loss_contra: 0.0002 (0.0162) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [9] [2190/5278] eta: 2:10:10 lr: 3.9271014716296186e-05 loss: 0.0908 (0.1116) loss_seg: 0.0995 (0.1205) loss_lansim: 0.1174 (0.1243) loss_contra: 0.0002 (0.0161) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [9] [2200/5278] eta: 2:09:45 lr: 3.926882524224781e-05 loss: 0.0897 (0.1116) loss_seg: 0.0972 (0.1206) loss_lansim: 0.1174 (0.1243) loss_contra: 0.0002 (0.0161) time: 2.5644 data: 0.0025 max mem: 31671 Epoch: [9] [2210/5278] eta: 2:09:21 lr: 3.9266635754635324e-05 loss: 0.0963 (0.1117) loss_seg: 0.1029 (0.1207) loss_lansim: 0.1167 (0.1242) loss_contra: 0.0002 (0.0160) time: 2.5771 data: 0.0025 max mem: 31671 Epoch: [9] [2220/5278] eta: 2:08:55 lr: 3.9264446253457786e-05 loss: 0.0908 (0.1116) loss_seg: 0.0990 (0.1206) loss_lansim: 0.1183 (0.1243) loss_contra: 0.0002 (0.0160) time: 2.5770 data: 0.0025 max mem: 31671 Epoch: [9] [2230/5278] eta: 2:08:30 lr: 3.9262256738714264e-05 loss: 0.0960 (0.1117) loss_seg: 0.1064 (0.1207) loss_lansim: 0.1184 (0.1242) loss_contra: 0.0002 (0.0159) time: 2.5796 data: 0.0025 max mem: 31671 Epoch: [9] [2240/5278] eta: 2:08:04 lr: 3.926006721040384e-05 loss: 0.1007 (0.1118) loss_seg: 0.1088 (0.1208) loss_lansim: 0.1184 (0.1243) loss_contra: 0.0002 (0.0159) time: 2.5631 data: 0.0026 max mem: 31671 Epoch: [9] [2250/5278] eta: 2:07:38 lr: 3.925787766852559e-05 loss: 0.0981 (0.1117) loss_seg: 0.1004 (0.1206) loss_lansim: 0.1184 (0.1243) loss_contra: 0.0002 (0.0158) time: 2.5476 data: 0.0026 max mem: 31671 Epoch: [9] [2260/5278] eta: 2:07:13 lr: 3.925568811307859e-05 loss: 0.1002 (0.1118) loss_seg: 0.1064 (0.1207) loss_lansim: 0.1206 (0.1242) loss_contra: 0.0002 (0.0158) time: 2.5487 data: 0.0026 max mem: 31671 Epoch: [9] [2270/5278] eta: 2:06:46 lr: 3.925349854406192e-05 loss: 0.0960 (0.1119) loss_seg: 0.1004 (0.1208) loss_lansim: 0.1205 (0.1243) loss_contra: 0.0002 (0.0159) time: 2.5295 data: 0.0026 max mem: 31671 Epoch: [9] [2280/5278] eta: 2:06:22 lr: 3.9251308961474644e-05 loss: 0.0952 (0.1118) loss_seg: 0.0989 (0.1207) loss_lansim: 0.1236 (0.1243) loss_contra: 0.0002 (0.0159) time: 2.5312 data: 0.0026 max mem: 31671 Epoch: [9] [2290/5278] eta: 2:05:57 lr: 3.924911936531583e-05 loss: 0.0960 (0.1119) loss_seg: 0.0995 (0.1209) loss_lansim: 0.1222 (0.1243) loss_contra: 0.0002 (0.0159) time: 2.5316 data: 0.0026 max mem: 31671 Epoch: [9] [2300/5278] eta: 2:05:33 lr: 3.9246929755584585e-05 loss: 0.0927 (0.1118) loss_seg: 0.0977 (0.1207) loss_lansim: 0.1244 (0.1243) loss_contra: 0.0002 (0.0158) time: 2.5365 data: 0.0027 max mem: 31671 Epoch: [9] [2310/5278] eta: 2:05:08 lr: 3.924474013227995e-05 loss: 0.0902 (0.1119) loss_seg: 0.0922 (0.1208) loss_lansim: 0.1251 (0.1243) loss_contra: 0.0002 (0.0158) time: 2.5295 data: 0.0027 max mem: 31671 Epoch: [9] [2320/5278] eta: 2:04:42 lr: 3.9242550495401015e-05 loss: 0.0922 (0.1119) loss_seg: 0.0922 (0.1208) loss_lansim: 0.1246 (0.1243) loss_contra: 0.0002 (0.0157) time: 2.5305 data: 0.0026 max mem: 31671 Epoch: [9] [2330/5278] eta: 2:04:16 lr: 3.9240360844946856e-05 loss: 0.0902 (0.1119) loss_seg: 0.0916 (0.1208) loss_lansim: 0.1249 (0.1243) loss_contra: 0.0002 (0.0159) time: 2.5231 data: 0.0026 max mem: 31671 Epoch: [9] [2340/5278] eta: 2:03:50 lr: 3.9238171180916534e-05 loss: 0.0898 (0.1119) loss_seg: 0.0913 (0.1208) loss_lansim: 0.1256 (0.1243) loss_contra: 0.0002 (0.0159) time: 2.5236 data: 0.0026 max mem: 31671 Epoch: [9] [2350/5278] eta: 2:03:25 lr: 3.9235981503309135e-05 loss: 0.0925 (0.1119) loss_seg: 0.0938 (0.1208) loss_lansim: 0.1254 (0.1243) loss_contra: 0.0002 (0.0158) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [9] [2360/5278] eta: 2:03:00 lr: 3.923379181212373e-05 loss: 0.0931 (0.1119) loss_seg: 0.0989 (0.1208) loss_lansim: 0.1258 (0.1244) loss_contra: 0.0002 (0.0159) time: 2.5301 data: 0.0026 max mem: 31671 Epoch: [9] [2370/5278] eta: 2:02:34 lr: 3.9231602107359384e-05 loss: 0.0960 (0.1120) loss_seg: 0.0989 (0.1209) loss_lansim: 0.1256 (0.1244) loss_contra: 0.0002 (0.0159) time: 2.5348 data: 0.0026 max mem: 31671 Epoch: [9] [2380/5278] eta: 2:02:08 lr: 3.922941238901519e-05 loss: 0.0964 (0.1120) loss_seg: 0.1027 (0.1209) loss_lansim: 0.1258 (0.1245) loss_contra: 0.0002 (0.0159) time: 2.5211 data: 0.0026 max mem: 31671 Epoch: [9] [2390/5278] eta: 2:01:42 lr: 3.922722265709021e-05 loss: 0.0979 (0.1122) loss_seg: 0.1031 (0.1211) loss_lansim: 0.1262 (0.1245) loss_contra: 0.0004 (0.0159) time: 2.5129 data: 0.0026 max mem: 31671 Epoch: [9] [2400/5278] eta: 2:01:17 lr: 3.922503291158351e-05 loss: 0.1039 (0.1122) loss_seg: 0.1070 (0.1211) loss_lansim: 0.1264 (0.1245) loss_contra: 0.0004 (0.0159) time: 2.5043 data: 0.0025 max mem: 31671 Epoch: [9] [2410/5278] eta: 2:00:51 lr: 3.922284315249417e-05 loss: 0.1046 (0.1121) loss_seg: 0.1070 (0.1210) loss_lansim: 0.1262 (0.1245) loss_contra: 0.0004 (0.0162) time: 2.4958 data: 0.0025 max mem: 31671 Epoch: [9] [2420/5278] eta: 2:00:26 lr: 3.922065337982127e-05 loss: 0.1057 (0.1122) loss_seg: 0.1151 (0.1211) loss_lansim: 0.1271 (0.1245) loss_contra: 0.0003 (0.0162) time: 2.4975 data: 0.0025 max mem: 31671 Epoch: [9] [2430/5278] eta: 1:59:59 lr: 3.9218463593563884e-05 loss: 0.1050 (0.1122) loss_seg: 0.1106 (0.1211) loss_lansim: 0.1271 (0.1245) loss_contra: 0.0004 (0.0162) time: 2.4950 data: 0.0025 max mem: 31671 Epoch: [9] [2440/5278] eta: 1:59:34 lr: 3.921627379372107e-05 loss: 0.1050 (0.1121) loss_seg: 0.1071 (0.1211) loss_lansim: 0.1271 (0.1246) loss_contra: 0.0004 (0.0161) time: 2.4995 data: 0.0025 max mem: 31671 Epoch: [9] [2450/5278] eta: 1:59:08 lr: 3.9214083980291906e-05 loss: 0.1057 (0.1123) loss_seg: 0.1106 (0.1213) loss_lansim: 0.1298 (0.1246) loss_contra: 0.0004 (0.0161) time: 2.4931 data: 0.0025 max mem: 31671 Epoch: [9] [2460/5278] eta: 1:58:42 lr: 3.921189415327548e-05 loss: 0.1050 (0.1123) loss_seg: 0.1071 (0.1213) loss_lansim: 0.1288 (0.1246) loss_contra: 0.0006 (0.0161) time: 2.4893 data: 0.0025 max mem: 31671 Epoch: [9] [2470/5278] eta: 1:58:17 lr: 3.920970431267084e-05 loss: 0.1078 (0.1124) loss_seg: 0.1120 (0.1213) loss_lansim: 0.1288 (0.1246) loss_contra: 0.0004 (0.0160) time: 2.4906 data: 0.0025 max mem: 31671 Epoch: [9] [2480/5278] eta: 1:57:51 lr: 3.920751445847707e-05 loss: 0.1050 (0.1123) loss_seg: 0.1106 (0.1213) loss_lansim: 0.1266 (0.1246) loss_contra: 0.0003 (0.0160) time: 2.4887 data: 0.0025 max mem: 31671 Epoch: [9] [2490/5278] eta: 1:57:25 lr: 3.920532459069325e-05 loss: 0.1057 (0.1124) loss_seg: 0.1120 (0.1214) loss_lansim: 0.1252 (0.1246) loss_contra: 0.0003 (0.0159) time: 2.4920 data: 0.0025 max mem: 31671 Epoch: [9] [2500/5278] eta: 1:57:00 lr: 3.920313470931844e-05 loss: 0.1078 (0.1124) loss_seg: 0.1184 (0.1214) loss_lansim: 0.1257 (0.1246) loss_contra: 0.0003 (0.0159) time: 2.4867 data: 0.0025 max mem: 31671 Epoch: [9] [2510/5278] eta: 1:56:33 lr: 3.9200944814351726e-05 loss: 0.1123 (0.1125) loss_seg: 0.1223 (0.1214) loss_lansim: 0.1266 (0.1247) loss_contra: 0.0004 (0.0158) time: 2.4835 data: 0.0025 max mem: 31671 Epoch: [9] [2520/5278] eta: 1:56:07 lr: 3.919875490579217e-05 loss: 0.1097 (0.1125) loss_seg: 0.1193 (0.1215) loss_lansim: 0.1261 (0.1247) loss_contra: 0.0004 (0.0159) time: 2.4793 data: 0.0025 max mem: 31671 Epoch: [9] [2530/5278] eta: 1:55:42 lr: 3.9196564983638835e-05 loss: 0.1097 (0.1125) loss_seg: 0.1184 (0.1214) loss_lansim: 0.1261 (0.1246) loss_contra: 0.0003 (0.0158) time: 2.4880 data: 0.0025 max mem: 31671 Epoch: [9] [2540/5278] eta: 1:55:17 lr: 3.919437504789081e-05 loss: 0.1080 (0.1125) loss_seg: 0.1171 (0.1215) loss_lansim: 0.1241 (0.1246) loss_contra: 0.0003 (0.0158) time: 2.4879 data: 0.0025 max mem: 31671 Epoch: [9] [2550/5278] eta: 1:54:52 lr: 3.919218509854716e-05 loss: 0.1056 (0.1125) loss_seg: 0.1130 (0.1214) loss_lansim: 0.1226 (0.1246) loss_contra: 0.0003 (0.0158) time: 2.4915 data: 0.0025 max mem: 31671 Epoch: [9] [2560/5278] eta: 1:54:26 lr: 3.9189995135606955e-05 loss: 0.1104 (0.1125) loss_seg: 0.1184 (0.1215) loss_lansim: 0.1222 (0.1246) loss_contra: 0.0003 (0.0157) time: 2.4933 data: 0.0025 max mem: 31671 Epoch: [9] [2570/5278] eta: 1:54:01 lr: 3.918780515906927e-05 loss: 0.1066 (0.1126) loss_seg: 0.1158 (0.1215) loss_lansim: 0.1222 (0.1246) loss_contra: 0.0005 (0.0157) time: 2.4925 data: 0.0025 max mem: 31671 Epoch: [9] [2580/5278] eta: 1:53:35 lr: 3.918561516893317e-05 loss: 0.1078 (0.1126) loss_seg: 0.1158 (0.1216) loss_lansim: 0.1207 (0.1245) loss_contra: 0.0006 (0.0156) time: 2.4966 data: 0.0025 max mem: 31671 Epoch: [9] [2590/5278] eta: 1:53:09 lr: 3.9183425165197734e-05 loss: 0.1022 (0.1126) loss_seg: 0.1110 (0.1215) loss_lansim: 0.1203 (0.1245) loss_contra: 0.0006 (0.0156) time: 2.4971 data: 0.0025 max mem: 31671 Epoch: [9] [2600/5278] eta: 1:52:44 lr: 3.918123514786203e-05 loss: 0.1022 (0.1125) loss_seg: 0.1110 (0.1215) loss_lansim: 0.1178 (0.1245) loss_contra: 0.0006 (0.0156) time: 2.5019 data: 0.0025 max mem: 31671 Epoch: [9] [2610/5278] eta: 1:52:19 lr: 3.9179045116925114e-05 loss: 0.0995 (0.1125) loss_seg: 0.1060 (0.1214) loss_lansim: 0.1163 (0.1244) loss_contra: 0.0005 (0.0156) time: 2.5165 data: 0.0026 max mem: 31671 Epoch: [9] [2620/5278] eta: 1:51:54 lr: 3.9176855072386085e-05 loss: 0.0988 (0.1125) loss_seg: 0.1060 (0.1214) loss_lansim: 0.1163 (0.1244) loss_contra: 0.0005 (0.0156) time: 2.5198 data: 0.0026 max mem: 31671 Epoch: [9] [2630/5278] eta: 1:51:29 lr: 3.917466501424399e-05 loss: 0.0988 (0.1124) loss_seg: 0.1060 (0.1213) loss_lansim: 0.1159 (0.1244) loss_contra: 0.0006 (0.0157) time: 2.5163 data: 0.0026 max mem: 31671 Epoch: [9] [2640/5278] eta: 1:51:03 lr: 3.9172474942497925e-05 loss: 0.1006 (0.1125) loss_seg: 0.1103 (0.1215) loss_lansim: 0.1158 (0.1244) loss_contra: 0.0005 (0.0156) time: 2.5192 data: 0.0026 max mem: 31671 Epoch: [9] [2650/5278] eta: 1:50:38 lr: 3.917028485714693e-05 loss: 0.1029 (0.1125) loss_seg: 0.1114 (0.1215) loss_lansim: 0.1166 (0.1244) loss_contra: 0.0005 (0.0156) time: 2.5196 data: 0.0027 max mem: 31671 Epoch: [9] [2660/5278] eta: 1:50:13 lr: 3.9168094758190086e-05 loss: 0.1006 (0.1126) loss_seg: 0.1104 (0.1215) loss_lansim: 0.1175 (0.1244) loss_contra: 0.0006 (0.0156) time: 2.5258 data: 0.0027 max mem: 31671 Epoch: [9] [2670/5278] eta: 1:49:48 lr: 3.916590464562648e-05 loss: 0.1006 (0.1127) loss_seg: 0.1104 (0.1217) loss_lansim: 0.1175 (0.1244) loss_contra: 0.0005 (0.0157) time: 2.5316 data: 0.0027 max mem: 31671 Epoch: [9] [2680/5278] eta: 1:49:23 lr: 3.9163714519455156e-05 loss: 0.1012 (0.1128) loss_seg: 0.1114 (0.1218) loss_lansim: 0.1175 (0.1244) loss_contra: 0.0005 (0.0157) time: 2.5304 data: 0.0027 max mem: 31671 Epoch: [9] [2690/5278] eta: 1:48:57 lr: 3.91615243796752e-05 loss: 0.1038 (0.1129) loss_seg: 0.1141 (0.1219) loss_lansim: 0.1185 (0.1243) loss_contra: 0.0003 (0.0157) time: 2.5306 data: 0.0027 max mem: 31671 Epoch: [9] [2700/5278] eta: 1:48:32 lr: 3.915933422628568e-05 loss: 0.1048 (0.1131) loss_seg: 0.1160 (0.1221) loss_lansim: 0.1200 (0.1243) loss_contra: 0.0003 (0.0158) time: 2.5253 data: 0.0027 max mem: 31671 Epoch: [9] [2710/5278] eta: 1:48:07 lr: 3.9157144059285664e-05 loss: 0.1065 (0.1131) loss_seg: 0.1172 (0.1221) loss_lansim: 0.1213 (0.1243) loss_contra: 0.0003 (0.0158) time: 2.5278 data: 0.0027 max mem: 31671 Epoch: [9] [2720/5278] eta: 1:47:42 lr: 3.915495387867422e-05 loss: 0.1105 (0.1131) loss_seg: 0.1207 (0.1221) loss_lansim: 0.1216 (0.1244) loss_contra: 0.0004 (0.0159) time: 2.5308 data: 0.0026 max mem: 31671 Epoch: [9] [2730/5278] eta: 1:47:17 lr: 3.915276368445042e-05 loss: 0.1162 (0.1131) loss_seg: 0.1287 (0.1221) loss_lansim: 0.1228 (0.1244) loss_contra: 0.0004 (0.0158) time: 2.5366 data: 0.0026 max mem: 31671 Epoch: [9] [2740/5278] eta: 1:46:51 lr: 3.9150573476613334e-05 loss: 0.1105 (0.1130) loss_seg: 0.1225 (0.1220) loss_lansim: 0.1223 (0.1244) loss_contra: 0.0003 (0.0157) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [9] [2750/5278] eta: 1:46:26 lr: 3.914838325516203e-05 loss: 0.1163 (0.1131) loss_seg: 0.1290 (0.1221) loss_lansim: 0.1249 (0.1244) loss_contra: 0.0003 (0.0157) time: 2.5356 data: 0.0025 max mem: 31671 Epoch: [9] [2760/5278] eta: 1:46:01 lr: 3.9146193020095574e-05 loss: 0.1105 (0.1131) loss_seg: 0.1188 (0.1220) loss_lansim: 0.1251 (0.1244) loss_contra: 0.0003 (0.0157) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [9] [2770/5278] eta: 1:45:36 lr: 3.914400277141303e-05 loss: 0.1163 (0.1131) loss_seg: 0.1225 (0.1220) loss_lansim: 0.1249 (0.1245) loss_contra: 0.0003 (0.0157) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [9] [2780/5278] eta: 1:45:11 lr: 3.914181250911349e-05 loss: 0.1074 (0.1132) loss_seg: 0.1157 (0.1222) loss_lansim: 0.1249 (0.1244) loss_contra: 0.0003 (0.0158) time: 2.5299 data: 0.0025 max mem: 31671 Epoch: [9] [2790/5278] eta: 1:44:46 lr: 3.913962223319599e-05 loss: 0.1072 (0.1132) loss_seg: 0.1157 (0.1222) loss_lansim: 0.1249 (0.1244) loss_contra: 0.0003 (0.0158) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [9] [2800/5278] eta: 1:44:20 lr: 3.9137431943659634e-05 loss: 0.1043 (0.1132) loss_seg: 0.1111 (0.1221) loss_lansim: 0.1236 (0.1244) loss_contra: 0.0003 (0.0157) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [9] [2810/5278] eta: 1:43:55 lr: 3.913524164050346e-05 loss: 0.1040 (0.1131) loss_seg: 0.1098 (0.1221) loss_lansim: 0.1236 (0.1244) loss_contra: 0.0003 (0.0158) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [9] [2820/5278] eta: 1:43:30 lr: 3.913305132372655e-05 loss: 0.1034 (0.1131) loss_seg: 0.1065 (0.1220) loss_lansim: 0.1223 (0.1243) loss_contra: 0.0003 (0.0157) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [9] [2830/5278] eta: 1:43:05 lr: 3.913086099332797e-05 loss: 0.1025 (0.1131) loss_seg: 0.1065 (0.1220) loss_lansim: 0.1203 (0.1243) loss_contra: 0.0003 (0.0157) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [9] [2840/5278] eta: 1:42:40 lr: 3.9128670649306795e-05 loss: 0.1025 (0.1130) loss_seg: 0.1088 (0.1220) loss_lansim: 0.1203 (0.1243) loss_contra: 0.0002 (0.0156) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [9] [2850/5278] eta: 1:42:15 lr: 3.912648029166208e-05 loss: 0.0963 (0.1131) loss_seg: 0.1013 (0.1220) loss_lansim: 0.1187 (0.1242) loss_contra: 0.0002 (0.0156) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [9] [2860/5278] eta: 1:41:49 lr: 3.9124289920392896e-05 loss: 0.0982 (0.1131) loss_seg: 0.1019 (0.1220) loss_lansim: 0.1194 (0.1242) loss_contra: 0.0003 (0.0156) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [9] [2870/5278] eta: 1:41:24 lr: 3.912209953549832e-05 loss: 0.0963 (0.1133) loss_seg: 0.1019 (0.1223) loss_lansim: 0.1183 (0.1242) loss_contra: 0.0002 (0.0155) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [9] [2880/5278] eta: 1:40:58 lr: 3.911990913697742e-05 loss: 0.0982 (0.1133) loss_seg: 0.1045 (0.1223) loss_lansim: 0.1194 (0.1242) loss_contra: 0.0002 (0.0155) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [9] [2890/5278] eta: 1:40:33 lr: 3.911771872482924e-05 loss: 0.0958 (0.1133) loss_seg: 0.1019 (0.1223) loss_lansim: 0.1196 (0.1242) loss_contra: 0.0002 (0.0155) time: 2.5299 data: 0.0025 max mem: 31671 Epoch: [9] [2900/5278] eta: 1:40:08 lr: 3.911552829905288e-05 loss: 0.0982 (0.1133) loss_seg: 0.1048 (0.1223) loss_lansim: 0.1205 (0.1242) loss_contra: 0.0002 (0.0154) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [9] [2910/5278] eta: 1:39:43 lr: 3.911333785964738e-05 loss: 0.0982 (0.1133) loss_seg: 0.1048 (0.1223) loss_lansim: 0.1206 (0.1242) loss_contra: 0.0002 (0.0154) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [9] [2920/5278] eta: 1:39:18 lr: 3.9111147406611825e-05 loss: 0.0982 (0.1133) loss_seg: 0.1048 (0.1223) loss_lansim: 0.1206 (0.1242) loss_contra: 0.0002 (0.0153) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [9] [2930/5278] eta: 1:38:53 lr: 3.910895693994528e-05 loss: 0.1017 (0.1135) loss_seg: 0.1054 (0.1225) loss_lansim: 0.1211 (0.1242) loss_contra: 0.0002 (0.0154) time: 2.5324 data: 0.0026 max mem: 31671 Epoch: [9] [2940/5278] eta: 1:38:27 lr: 3.91067664596468e-05 loss: 0.1074 (0.1138) loss_seg: 0.1135 (0.1227) loss_lansim: 0.1232 (0.1242) loss_contra: 0.0003 (0.0154) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [9] [2950/5278] eta: 1:38:02 lr: 3.910457596571547e-05 loss: 0.1078 (0.1137) loss_seg: 0.1138 (0.1227) loss_lansim: 0.1232 (0.1242) loss_contra: 0.0002 (0.0154) time: 2.5303 data: 0.0026 max mem: 31671 Epoch: [9] [2960/5278] eta: 1:37:37 lr: 3.9102385458150335e-05 loss: 0.1079 (0.1137) loss_seg: 0.1193 (0.1227) loss_lansim: 0.1224 (0.1242) loss_contra: 0.0002 (0.0153) time: 2.5352 data: 0.0026 max mem: 31671 Epoch: [9] [2970/5278] eta: 1:37:12 lr: 3.910019493695048e-05 loss: 0.1078 (0.1138) loss_seg: 0.1158 (0.1228) loss_lansim: 0.1229 (0.1242) loss_contra: 0.0003 (0.0153) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [9] [2980/5278] eta: 1:36:48 lr: 3.9098004402114955e-05 loss: 0.1027 (0.1138) loss_seg: 0.1130 (0.1228) loss_lansim: 0.1232 (0.1242) loss_contra: 0.0002 (0.0153) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [9] [2990/5278] eta: 1:36:22 lr: 3.909581385364284e-05 loss: 0.1046 (0.1138) loss_seg: 0.1130 (0.1228) loss_lansim: 0.1245 (0.1242) loss_contra: 0.0003 (0.0152) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [9] [3000/5278] eta: 1:35:57 lr: 3.909362329153321e-05 loss: 0.1024 (0.1138) loss_seg: 0.1091 (0.1228) loss_lansim: 0.1239 (0.1242) loss_contra: 0.0003 (0.0152) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [9] [3010/5278] eta: 1:35:32 lr: 3.90914327157851e-05 loss: 0.1046 (0.1139) loss_seg: 0.1147 (0.1229) loss_lansim: 0.1245 (0.1243) loss_contra: 0.0003 (0.0152) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [9] [3020/5278] eta: 1:35:06 lr: 3.9089242126397604e-05 loss: 0.1020 (0.1138) loss_seg: 0.1065 (0.1227) loss_lansim: 0.1245 (0.1242) loss_contra: 0.0003 (0.0151) time: 2.5422 data: 0.0024 max mem: 31671 Epoch: [9] [3030/5278] eta: 1:34:41 lr: 3.9087051523369766e-05 loss: 0.0939 (0.1138) loss_seg: 0.1005 (0.1228) loss_lansim: 0.1238 (0.1242) loss_contra: 0.0003 (0.0151) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [9] [3040/5278] eta: 1:34:15 lr: 3.908486090670068e-05 loss: 0.0909 (0.1138) loss_seg: 0.0981 (0.1228) loss_lansim: 0.1229 (0.1242) loss_contra: 0.0002 (0.0150) time: 2.5398 data: 0.0024 max mem: 31671 Epoch: [9] [3050/5278] eta: 1:33:50 lr: 3.9082670276389374e-05 loss: 0.1035 (0.1140) loss_seg: 0.1091 (0.1230) loss_lansim: 0.1233 (0.1242) loss_contra: 0.0003 (0.0151) time: 2.5368 data: 0.0024 max mem: 31671 Epoch: [9] [3060/5278] eta: 1:33:25 lr: 3.908047963243494e-05 loss: 0.1020 (0.1139) loss_seg: 0.1065 (0.1229) loss_lansim: 0.1239 (0.1242) loss_contra: 0.0004 (0.0151) time: 2.5406 data: 0.0024 max mem: 31671 Epoch: [9] [3070/5278] eta: 1:33:00 lr: 3.907828897483644e-05 loss: 0.0909 (0.1139) loss_seg: 0.0987 (0.1229) loss_lansim: 0.1254 (0.1243) loss_contra: 0.0003 (0.0151) time: 2.5360 data: 0.0024 max mem: 31671 Epoch: [9] [3080/5278] eta: 1:32:35 lr: 3.907609830359294e-05 loss: 0.1080 (0.1139) loss_seg: 0.1147 (0.1229) loss_lansim: 0.1251 (0.1244) loss_contra: 0.0003 (0.0150) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [9] [3090/5278] eta: 1:32:09 lr: 3.90739076187035e-05 loss: 0.1105 (0.1140) loss_seg: 0.1209 (0.1230) loss_lansim: 0.1266 (0.1244) loss_contra: 0.0003 (0.0150) time: 2.5226 data: 0.0024 max mem: 31671 Epoch: [9] [3100/5278] eta: 1:31:44 lr: 3.9071716920167186e-05 loss: 0.1123 (0.1140) loss_seg: 0.1209 (0.1230) loss_lansim: 0.1258 (0.1244) loss_contra: 0.0003 (0.0150) time: 2.5237 data: 0.0024 max mem: 31671 Epoch: [9] [3110/5278] eta: 1:31:19 lr: 3.906952620798305e-05 loss: 0.0994 (0.1139) loss_seg: 0.1065 (0.1229) loss_lansim: 0.1233 (0.1243) loss_contra: 0.0001 (0.0149) time: 2.5256 data: 0.0024 max mem: 31671 Epoch: [9] [3120/5278] eta: 1:30:54 lr: 3.906733548215019e-05 loss: 0.1105 (0.1140) loss_seg: 0.1209 (0.1230) loss_lansim: 0.1217 (0.1243) loss_contra: 0.0001 (0.0150) time: 2.5363 data: 0.0024 max mem: 31671 Epoch: [9] [3130/5278] eta: 1:30:29 lr: 3.906514474266764e-05 loss: 0.1100 (0.1140) loss_seg: 0.1197 (0.1230) loss_lansim: 0.1230 (0.1243) loss_contra: 0.0002 (0.0149) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [9] [3140/5278] eta: 1:30:04 lr: 3.906295398953447e-05 loss: 0.1091 (0.1140) loss_seg: 0.1193 (0.1230) loss_lansim: 0.1235 (0.1243) loss_contra: 0.0002 (0.0150) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [9] [3150/5278] eta: 1:29:38 lr: 3.906076322274976e-05 loss: 0.1075 (0.1140) loss_seg: 0.1171 (0.1230) loss_lansim: 0.1234 (0.1243) loss_contra: 0.0001 (0.0150) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [9] [3160/5278] eta: 1:29:13 lr: 3.905857244231255e-05 loss: 0.1019 (0.1140) loss_seg: 0.1128 (0.1230) loss_lansim: 0.1221 (0.1243) loss_contra: 0.0001 (0.0150) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [9] [3170/5278] eta: 1:28:48 lr: 3.905638164822194e-05 loss: 0.1019 (0.1140) loss_seg: 0.1128 (0.1230) loss_lansim: 0.1215 (0.1243) loss_contra: 0.0001 (0.0150) time: 2.5356 data: 0.0026 max mem: 31671 Epoch: [9] [3180/5278] eta: 1:28:23 lr: 3.905419084047695e-05 loss: 0.0994 (0.1140) loss_seg: 0.1094 (0.1230) loss_lansim: 0.1202 (0.1243) loss_contra: 0.0001 (0.0149) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [9] [3190/5278] eta: 1:27:57 lr: 3.905200001907667e-05 loss: 0.0935 (0.1140) loss_seg: 0.1031 (0.1230) loss_lansim: 0.1178 (0.1243) loss_contra: 0.0001 (0.0149) time: 2.5361 data: 0.0026 max mem: 31671 Epoch: [9] [3200/5278] eta: 1:27:32 lr: 3.9049809184020156e-05 loss: 0.0945 (0.1140) loss_seg: 0.1033 (0.1230) loss_lansim: 0.1178 (0.1243) loss_contra: 0.0002 (0.0149) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [9] [3210/5278] eta: 1:27:07 lr: 3.9047618335306474e-05 loss: 0.1005 (0.1140) loss_seg: 0.1113 (0.1230) loss_lansim: 0.1202 (0.1243) loss_contra: 0.0003 (0.0148) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [9] [3220/5278] eta: 1:26:42 lr: 3.90454274729347e-05 loss: 0.0953 (0.1140) loss_seg: 0.1058 (0.1230) loss_lansim: 0.1203 (0.1243) loss_contra: 0.0003 (0.0148) time: 2.5338 data: 0.0026 max mem: 31671 Epoch: [9] [3230/5278] eta: 1:26:17 lr: 3.904323659690387e-05 loss: 0.0953 (0.1141) loss_seg: 0.1058 (0.1232) loss_lansim: 0.1198 (0.1243) loss_contra: 0.0003 (0.0148) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [9] [3240/5278] eta: 1:25:52 lr: 3.904104570721307e-05 loss: 0.0962 (0.1141) loss_seg: 0.1065 (0.1231) loss_lansim: 0.1202 (0.1243) loss_contra: 0.0002 (0.0147) time: 2.5372 data: 0.0026 max mem: 31671 Epoch: [9] [3250/5278] eta: 1:25:27 lr: 3.9038854803861356e-05 loss: 0.0935 (0.1140) loss_seg: 0.1033 (0.1231) loss_lansim: 0.1205 (0.1243) loss_contra: 0.0002 (0.0147) time: 2.5505 data: 0.0025 max mem: 31671 Epoch: [9] [3260/5278] eta: 1:25:01 lr: 3.903666388684778e-05 loss: 0.0906 (0.1139) loss_seg: 0.1000 (0.1229) loss_lansim: 0.1207 (0.1243) loss_contra: 0.0002 (0.0147) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [9] [3270/5278] eta: 1:24:36 lr: 3.9034472956171425e-05 loss: 0.0887 (0.1140) loss_seg: 0.0932 (0.1230) loss_lansim: 0.1210 (0.1243) loss_contra: 0.0003 (0.0147) time: 2.5334 data: 0.0025 max mem: 31671 Epoch: [9] [3280/5278] eta: 1:24:10 lr: 3.903228201183134e-05 loss: 0.0906 (0.1141) loss_seg: 0.1000 (0.1231) loss_lansim: 0.1228 (0.1243) loss_contra: 0.0003 (0.0147) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [9] [3290/5278] eta: 1:23:45 lr: 3.903009105382659e-05 loss: 0.0943 (0.1141) loss_seg: 0.1045 (0.1231) loss_lansim: 0.1207 (0.1243) loss_contra: 0.0003 (0.0147) time: 2.5391 data: 0.0026 max mem: 31671 Epoch: [9] [3300/5278] eta: 1:23:20 lr: 3.9027900082156246e-05 loss: 0.0943 (0.1140) loss_seg: 0.1045 (0.1231) loss_lansim: 0.1228 (0.1243) loss_contra: 0.0003 (0.0146) time: 2.5288 data: 0.0026 max mem: 31671 Epoch: [9] [3310/5278] eta: 1:22:54 lr: 3.902570909681936e-05 loss: 0.0943 (0.1141) loss_seg: 0.1045 (0.1231) loss_lansim: 0.1230 (0.1243) loss_contra: 0.0003 (0.0146) time: 2.5256 data: 0.0026 max mem: 31671 Epoch: [9] [3320/5278] eta: 1:22:29 lr: 3.9023518097815e-05 loss: 0.0982 (0.1142) loss_seg: 0.1070 (0.1232) loss_lansim: 0.1247 (0.1243) loss_contra: 0.0002 (0.0148) time: 2.5181 data: 0.0026 max mem: 31671 Epoch: [9] [3330/5278] eta: 1:22:03 lr: 3.9021327085142226e-05 loss: 0.0991 (0.1141) loss_seg: 0.1058 (0.1232) loss_lansim: 0.1245 (0.1243) loss_contra: 0.0002 (0.0147) time: 2.5180 data: 0.0026 max mem: 31671 Epoch: [9] [3340/5278] eta: 1:21:38 lr: 3.901913605880009e-05 loss: 0.0982 (0.1141) loss_seg: 0.1045 (0.1231) loss_lansim: 0.1245 (0.1243) loss_contra: 0.0002 (0.0148) time: 2.5152 data: 0.0026 max mem: 31671 Epoch: [9] [3350/5278] eta: 1:21:13 lr: 3.901694501878767e-05 loss: 0.0982 (0.1140) loss_seg: 0.1045 (0.1230) loss_lansim: 0.1240 (0.1243) loss_contra: 0.0002 (0.0148) time: 2.5120 data: 0.0026 max mem: 31671 Epoch: [9] [3360/5278] eta: 1:20:48 lr: 3.901475396510402e-05 loss: 0.1016 (0.1140) loss_seg: 0.1090 (0.1230) loss_lansim: 0.1229 (0.1243) loss_contra: 0.0002 (0.0147) time: 2.5121 data: 0.0026 max mem: 31671 Epoch: [9] [3370/5278] eta: 1:20:22 lr: 3.90125628977482e-05 loss: 0.1031 (0.1140) loss_seg: 0.1124 (0.1230) loss_lansim: 0.1206 (0.1243) loss_contra: 0.0002 (0.0147) time: 2.5196 data: 0.0026 max mem: 31671 Epoch: [9] [3380/5278] eta: 1:19:57 lr: 3.9010371816719274e-05 loss: 0.1004 (0.1140) loss_seg: 0.1090 (0.1230) loss_lansim: 0.1202 (0.1243) loss_contra: 0.0002 (0.0148) time: 2.5207 data: 0.0026 max mem: 31671 Epoch: [9] [3390/5278] eta: 1:19:32 lr: 3.900818072201631e-05 loss: 0.1004 (0.1140) loss_seg: 0.1095 (0.1230) loss_lansim: 0.1200 (0.1242) loss_contra: 0.0002 (0.0148) time: 2.5172 data: 0.0026 max mem: 31671 Epoch: [9] [3400/5278] eta: 1:19:07 lr: 3.9005989613638354e-05 loss: 0.0982 (0.1140) loss_seg: 0.1058 (0.1230) loss_lansim: 0.1188 (0.1242) loss_contra: 0.0002 (0.0148) time: 2.5324 data: 0.0026 max mem: 31671 Epoch: [9] [3410/5278] eta: 1:18:42 lr: 3.9003798491584484e-05 loss: 0.0991 (0.1140) loss_seg: 0.1090 (0.1230) loss_lansim: 0.1148 (0.1242) loss_contra: 0.0002 (0.0148) time: 2.5317 data: 0.0026 max mem: 31671 Epoch: [9] [3420/5278] eta: 1:18:17 lr: 3.900160735585375e-05 loss: 0.0959 (0.1140) loss_seg: 0.1028 (0.1231) loss_lansim: 0.1140 (0.1241) loss_contra: 0.0002 (0.0147) time: 2.5405 data: 0.0026 max mem: 31671 Epoch: [9] [3430/5278] eta: 1:17:52 lr: 3.8999416206445214e-05 loss: 0.0927 (0.1139) loss_seg: 0.1002 (0.1229) loss_lansim: 0.1140 (0.1241) loss_contra: 0.0002 (0.0147) time: 2.5484 data: 0.0026 max mem: 31671 Epoch: [9] [3440/5278] eta: 1:17:26 lr: 3.899722504335794e-05 loss: 0.0928 (0.1139) loss_seg: 0.1012 (0.1229) loss_lansim: 0.1135 (0.1241) loss_contra: 0.0002 (0.0147) time: 2.5483 data: 0.0026 max mem: 31671 Epoch: [9] [3450/5278] eta: 1:17:01 lr: 3.8995033866590984e-05 loss: 0.0991 (0.1139) loss_seg: 0.1095 (0.1229) loss_lansim: 0.1127 (0.1240) loss_contra: 0.0002 (0.0146) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [9] [3460/5278] eta: 1:16:36 lr: 3.899284267614342e-05 loss: 0.1068 (0.1140) loss_seg: 0.1156 (0.1230) loss_lansim: 0.1137 (0.1240) loss_contra: 0.0003 (0.0147) time: 2.5477 data: 0.0026 max mem: 31671 Epoch: [9] [3470/5278] eta: 1:16:10 lr: 3.899065147201429e-05 loss: 0.1042 (0.1140) loss_seg: 0.1156 (0.1230) loss_lansim: 0.1135 (0.1240) loss_contra: 0.0003 (0.0147) time: 2.5445 data: 0.0026 max mem: 31671 Epoch: [9] [3480/5278] eta: 1:15:45 lr: 3.8988460254202656e-05 loss: 0.1068 (0.1140) loss_seg: 0.1171 (0.1230) loss_lansim: 0.1141 (0.1240) loss_contra: 0.0003 (0.0147) time: 2.5453 data: 0.0026 max mem: 31671 Epoch: [9] [3490/5278] eta: 1:15:20 lr: 3.8986269022707596e-05 loss: 0.1035 (0.1139) loss_seg: 0.1146 (0.1229) loss_lansim: 0.1141 (0.1240) loss_contra: 0.0003 (0.0147) time: 2.5435 data: 0.0026 max mem: 31671 Epoch: [9] [3500/5278] eta: 1:14:54 lr: 3.898407777752815e-05 loss: 0.1113 (0.1140) loss_seg: 0.1184 (0.1229) loss_lansim: 0.1142 (0.1240) loss_contra: 0.0003 (0.0148) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [9] [3510/5278] eta: 1:14:29 lr: 3.898188651866339e-05 loss: 0.1009 (0.1139) loss_seg: 0.1098 (0.1228) loss_lansim: 0.1143 (0.1240) loss_contra: 0.0003 (0.0148) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [9] [3520/5278] eta: 1:14:04 lr: 3.897969524611238e-05 loss: 0.1032 (0.1139) loss_seg: 0.1120 (0.1229) loss_lansim: 0.1143 (0.1239) loss_contra: 0.0003 (0.0149) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [9] [3530/5278] eta: 1:13:39 lr: 3.8977503959874154e-05 loss: 0.1101 (0.1140) loss_seg: 0.1184 (0.1230) loss_lansim: 0.1142 (0.1239) loss_contra: 0.0005 (0.0150) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [9] [3540/5278] eta: 1:13:14 lr: 3.89753126599478e-05 loss: 0.1070 (0.1139) loss_seg: 0.1171 (0.1229) loss_lansim: 0.1141 (0.1238) loss_contra: 0.0005 (0.0150) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [9] [3550/5278] eta: 1:12:49 lr: 3.8973121346332364e-05 loss: 0.1070 (0.1141) loss_seg: 0.1184 (0.1231) loss_lansim: 0.1137 (0.1238) loss_contra: 0.0007 (0.0150) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [9] [3560/5278] eta: 1:12:24 lr: 3.8970930019026906e-05 loss: 0.0992 (0.1141) loss_seg: 0.1099 (0.1230) loss_lansim: 0.1114 (0.1238) loss_contra: 0.0010 (0.0150) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [9] [3570/5278] eta: 1:11:58 lr: 3.896873867803049e-05 loss: 0.0967 (0.1140) loss_seg: 0.1066 (0.1230) loss_lansim: 0.1096 (0.1237) loss_contra: 0.0008 (0.0149) time: 2.5450 data: 0.0025 max mem: 31671 Epoch: [9] [3580/5278] eta: 1:11:34 lr: 3.896654732334217e-05 loss: 0.0967 (0.1140) loss_seg: 0.1041 (0.1229) loss_lansim: 0.1086 (0.1237) loss_contra: 0.0006 (0.0149) time: 2.5574 data: 0.0025 max mem: 31671 Epoch: [9] [3590/5278] eta: 1:11:09 lr: 3.896435595496101e-05 loss: 0.0976 (0.1139) loss_seg: 0.1052 (0.1229) loss_lansim: 0.1077 (0.1236) loss_contra: 0.0008 (0.0150) time: 2.5669 data: 0.0025 max mem: 31671 Epoch: [9] [3600/5278] eta: 1:10:43 lr: 3.8962164572886064e-05 loss: 0.0990 (0.1140) loss_seg: 0.1073 (0.1230) loss_lansim: 0.1069 (0.1236) loss_contra: 0.0006 (0.0149) time: 2.5643 data: 0.0025 max mem: 31671 Epoch: [9] [3610/5278] eta: 1:10:18 lr: 3.895997317711639e-05 loss: 0.1080 (0.1141) loss_seg: 0.1199 (0.1231) loss_lansim: 0.1069 (0.1235) loss_contra: 0.0005 (0.0149) time: 2.5649 data: 0.0025 max mem: 31671 Epoch: [9] [3620/5278] eta: 1:09:53 lr: 3.8957781767651055e-05 loss: 0.1080 (0.1142) loss_seg: 0.1199 (0.1231) loss_lansim: 0.1077 (0.1235) loss_contra: 0.0005 (0.0149) time: 2.5641 data: 0.0025 max mem: 31671 Epoch: [9] [3630/5278] eta: 1:09:28 lr: 3.895559034448911e-05 loss: 0.1090 (0.1143) loss_seg: 0.1207 (0.1233) loss_lansim: 0.1086 (0.1235) loss_contra: 0.0005 (0.0151) time: 2.5654 data: 0.0025 max mem: 31671 Epoch: [9] [3640/5278] eta: 1:09:02 lr: 3.895339890762961e-05 loss: 0.1107 (0.1143) loss_seg: 0.1219 (0.1233) loss_lansim: 0.1086 (0.1235) loss_contra: 0.0007 (0.0151) time: 2.5594 data: 0.0025 max mem: 31671 Epoch: [9] [3650/5278] eta: 1:08:37 lr: 3.895120745707162e-05 loss: 0.1107 (0.1145) loss_seg: 0.1219 (0.1235) loss_lansim: 0.1091 (0.1234) loss_contra: 0.0005 (0.0154) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [9] [3660/5278] eta: 1:08:12 lr: 3.894901599281419e-05 loss: 0.1116 (0.1145) loss_seg: 0.1224 (0.1235) loss_lansim: 0.1091 (0.1234) loss_contra: 0.0005 (0.0154) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [9] [3670/5278] eta: 1:07:47 lr: 3.89468245148564e-05 loss: 0.1116 (0.1145) loss_seg: 0.1224 (0.1235) loss_lansim: 0.1087 (0.1234) loss_contra: 0.0007 (0.0154) time: 2.5592 data: 0.0025 max mem: 31671 Epoch: [9] [3680/5278] eta: 1:07:22 lr: 3.8944633023197275e-05 loss: 0.1141 (0.1145) loss_seg: 0.1241 (0.1235) loss_lansim: 0.1083 (0.1233) loss_contra: 0.0011 (0.0154) time: 2.5483 data: 0.0025 max mem: 31671 Epoch: [9] [3690/5278] eta: 1:06:56 lr: 3.894244151783589e-05 loss: 0.1207 (0.1146) loss_seg: 0.1267 (0.1236) loss_lansim: 0.1090 (0.1233) loss_contra: 0.0013 (0.0156) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [9] [3700/5278] eta: 1:06:31 lr: 3.894024999877131e-05 loss: 0.1174 (0.1145) loss_seg: 0.1256 (0.1235) loss_lansim: 0.1087 (0.1232) loss_contra: 0.0011 (0.0156) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [9] [3710/5278] eta: 1:06:05 lr: 3.893805846600257e-05 loss: 0.1174 (0.1146) loss_seg: 0.1242 (0.1236) loss_lansim: 0.1087 (0.1232) loss_contra: 0.0018 (0.0156) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [9] [3720/5278] eta: 1:05:40 lr: 3.8935866919528764e-05 loss: 0.1141 (0.1146) loss_seg: 0.1218 (0.1236) loss_lansim: 0.1080 (0.1231) loss_contra: 0.0019 (0.0156) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [9] [3730/5278] eta: 1:05:15 lr: 3.893367535934891e-05 loss: 0.1126 (0.1148) loss_seg: 0.1155 (0.1238) loss_lansim: 0.1069 (0.1231) loss_contra: 0.0019 (0.0156) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [9] [3740/5278] eta: 1:04:50 lr: 3.893148378546209e-05 loss: 0.1141 (0.1148) loss_seg: 0.1169 (0.1238) loss_lansim: 0.1057 (0.1230) loss_contra: 0.0019 (0.0157) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [9] [3750/5278] eta: 1:04:24 lr: 3.892929219786734e-05 loss: 0.1086 (0.1148) loss_seg: 0.1143 (0.1238) loss_lansim: 0.1044 (0.1230) loss_contra: 0.0019 (0.0156) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [9] [3760/5278] eta: 1:03:59 lr: 3.892710059656374e-05 loss: 0.1086 (0.1148) loss_seg: 0.1146 (0.1238) loss_lansim: 0.1027 (0.1230) loss_contra: 0.0011 (0.0156) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [9] [3770/5278] eta: 1:03:34 lr: 3.892490898155034e-05 loss: 0.1094 (0.1148) loss_seg: 0.1147 (0.1237) loss_lansim: 0.1031 (0.1229) loss_contra: 0.0008 (0.0156) time: 2.5246 data: 0.0024 max mem: 31671 Epoch: [9] [3780/5278] eta: 1:03:08 lr: 3.892271735282618e-05 loss: 0.1094 (0.1148) loss_seg: 0.1169 (0.1237) loss_lansim: 0.1044 (0.1229) loss_contra: 0.0006 (0.0156) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [9] [3790/5278] eta: 1:02:43 lr: 3.892052571039033e-05 loss: 0.1066 (0.1147) loss_seg: 0.1101 (0.1237) loss_lansim: 0.1031 (0.1228) loss_contra: 0.0005 (0.0156) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [9] [3800/5278] eta: 1:02:18 lr: 3.891833405424185e-05 loss: 0.1081 (0.1148) loss_seg: 0.1147 (0.1237) loss_lansim: 0.1044 (0.1228) loss_contra: 0.0005 (0.0155) time: 2.5265 data: 0.0024 max mem: 31671 Epoch: [9] [3810/5278] eta: 1:01:52 lr: 3.891614238437979e-05 loss: 0.1063 (0.1148) loss_seg: 0.1105 (0.1237) loss_lansim: 0.1053 (0.1228) loss_contra: 0.0004 (0.0155) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [9] [3820/5278] eta: 1:01:27 lr: 3.89139507008032e-05 loss: 0.1063 (0.1147) loss_seg: 0.1101 (0.1237) loss_lansim: 0.1025 (0.1227) loss_contra: 0.0003 (0.0155) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [9] [3830/5278] eta: 1:01:01 lr: 3.891175900351116e-05 loss: 0.1053 (0.1147) loss_seg: 0.1082 (0.1236) loss_lansim: 0.1025 (0.1227) loss_contra: 0.0003 (0.0155) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [9] [3840/5278] eta: 1:00:36 lr: 3.89095672925027e-05 loss: 0.1028 (0.1146) loss_seg: 0.1082 (0.1236) loss_lansim: 0.1059 (0.1226) loss_contra: 0.0003 (0.0154) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [9] [3850/5278] eta: 1:00:11 lr: 3.890737556777688e-05 loss: 0.1028 (0.1146) loss_seg: 0.1101 (0.1236) loss_lansim: 0.1059 (0.1226) loss_contra: 0.0003 (0.0154) time: 2.5195 data: 0.0025 max mem: 31671 Epoch: [9] [3860/5278] eta: 0:59:46 lr: 3.8905183829332766e-05 loss: 0.1012 (0.1146) loss_seg: 0.1101 (0.1236) loss_lansim: 0.1065 (0.1225) loss_contra: 0.0003 (0.0154) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [9] [3870/5278] eta: 0:59:21 lr: 3.8902992077169406e-05 loss: 0.1029 (0.1147) loss_seg: 0.1112 (0.1236) loss_lansim: 0.1069 (0.1225) loss_contra: 0.0003 (0.0154) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [9] [3880/5278] eta: 0:58:55 lr: 3.890080031128586e-05 loss: 0.1001 (0.1146) loss_seg: 0.1074 (0.1236) loss_lansim: 0.1066 (0.1225) loss_contra: 0.0003 (0.0154) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [9] [3890/5278] eta: 0:58:30 lr: 3.889860853168118e-05 loss: 0.1001 (0.1146) loss_seg: 0.1074 (0.1235) loss_lansim: 0.1064 (0.1224) loss_contra: 0.0003 (0.0153) time: 2.5193 data: 0.0025 max mem: 31671 Epoch: [9] [3900/5278] eta: 0:58:04 lr: 3.889641673835441e-05 loss: 0.0940 (0.1145) loss_seg: 0.1001 (0.1235) loss_lansim: 0.1070 (0.1224) loss_contra: 0.0003 (0.0153) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [9] [3910/5278] eta: 0:57:39 lr: 3.889422493130463e-05 loss: 0.0946 (0.1145) loss_seg: 0.1002 (0.1235) loss_lansim: 0.1074 (0.1224) loss_contra: 0.0003 (0.0153) time: 2.5139 data: 0.0025 max mem: 31671 Epoch: [9] [3920/5278] eta: 0:57:14 lr: 3.889203311053087e-05 loss: 0.0961 (0.1145) loss_seg: 0.1044 (0.1235) loss_lansim: 0.1086 (0.1224) loss_contra: 0.0003 (0.0153) time: 2.5171 data: 0.0025 max mem: 31671 Epoch: [9] [3930/5278] eta: 0:56:48 lr: 3.8889841276032215e-05 loss: 0.0965 (0.1146) loss_seg: 0.1047 (0.1236) loss_lansim: 0.1087 (0.1223) loss_contra: 0.0003 (0.0153) time: 2.5210 data: 0.0026 max mem: 31671 Epoch: [9] [3940/5278] eta: 0:56:23 lr: 3.888764942780768e-05 loss: 0.0965 (0.1147) loss_seg: 0.1047 (0.1237) loss_lansim: 0.1097 (0.1223) loss_contra: 0.0003 (0.0153) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [9] [3950/5278] eta: 0:55:58 lr: 3.888545756585635e-05 loss: 0.1031 (0.1148) loss_seg: 0.1112 (0.1237) loss_lansim: 0.1097 (0.1223) loss_contra: 0.0005 (0.0153) time: 2.5177 data: 0.0026 max mem: 31671 Epoch: [9] [3960/5278] eta: 0:55:33 lr: 3.888326569017727e-05 loss: 0.0965 (0.1148) loss_seg: 0.1065 (0.1237) loss_lansim: 0.1110 (0.1223) loss_contra: 0.0006 (0.0153) time: 2.5190 data: 0.0026 max mem: 31671 Epoch: [9] [3970/5278] eta: 0:55:07 lr: 3.888107380076949e-05 loss: 0.0965 (0.1148) loss_seg: 0.1065 (0.1238) loss_lansim: 0.1112 (0.1223) loss_contra: 0.0006 (0.0153) time: 2.5125 data: 0.0026 max mem: 31671 Epoch: [9] [3980/5278] eta: 0:54:42 lr: 3.8878881897632066e-05 loss: 0.1031 (0.1149) loss_seg: 0.1078 (0.1239) loss_lansim: 0.1121 (0.1223) loss_contra: 0.0006 (0.0153) time: 2.5233 data: 0.0026 max mem: 31671 Epoch: [9] [3990/5278] eta: 0:54:17 lr: 3.887668998076405e-05 loss: 0.1044 (0.1148) loss_seg: 0.1132 (0.1238) loss_lansim: 0.1127 (0.1222) loss_contra: 0.0005 (0.0153) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [9] [4000/5278] eta: 0:53:52 lr: 3.88744980501645e-05 loss: 0.1089 (0.1149) loss_seg: 0.1162 (0.1239) loss_lansim: 0.1125 (0.1222) loss_contra: 0.0004 (0.0153) time: 2.5457 data: 0.0026 max mem: 31671 Epoch: [9] [4010/5278] eta: 0:53:27 lr: 3.887230610583247e-05 loss: 0.1089 (0.1152) loss_seg: 0.1173 (0.1242) loss_lansim: 0.1113 (0.1222) loss_contra: 0.0006 (0.0152) time: 2.5459 data: 0.0026 max mem: 31671 Epoch: [9] [4020/5278] eta: 0:53:01 lr: 3.8870114147767016e-05 loss: 0.1165 (0.1152) loss_seg: 0.1202 (0.1242) loss_lansim: 0.1124 (0.1222) loss_contra: 0.0006 (0.0152) time: 2.5535 data: 0.0026 max mem: 31671 Epoch: [9] [4030/5278] eta: 0:52:36 lr: 3.8867922175967186e-05 loss: 0.1089 (0.1151) loss_seg: 0.1162 (0.1241) loss_lansim: 0.1124 (0.1221) loss_contra: 0.0006 (0.0152) time: 2.5533 data: 0.0026 max mem: 31671 Epoch: [9] [4040/5278] eta: 0:52:11 lr: 3.886573019043204e-05 loss: 0.1089 (0.1152) loss_seg: 0.1162 (0.1242) loss_lansim: 0.1113 (0.1222) loss_contra: 0.0005 (0.0152) time: 2.5560 data: 0.0026 max mem: 31671 Epoch: [9] [4050/5278] eta: 0:51:46 lr: 3.886353819116062e-05 loss: 0.1073 (0.1152) loss_seg: 0.1162 (0.1243) loss_lansim: 0.1113 (0.1221) loss_contra: 0.0004 (0.0152) time: 2.5649 data: 0.0026 max mem: 31671 Epoch: [9] [4060/5278] eta: 0:51:21 lr: 3.886134617815198e-05 loss: 0.1073 (0.1152) loss_seg: 0.1162 (0.1243) loss_lansim: 0.1125 (0.1221) loss_contra: 0.0003 (0.0152) time: 2.5664 data: 0.0026 max mem: 31671 Epoch: [9] [4070/5278] eta: 0:50:55 lr: 3.8859154151405184e-05 loss: 0.1124 (0.1154) loss_seg: 0.1234 (0.1244) loss_lansim: 0.1125 (0.1221) loss_contra: 0.0003 (0.0152) time: 2.5717 data: 0.0026 max mem: 31671 Epoch: [9] [4080/5278] eta: 0:50:30 lr: 3.885696211091928e-05 loss: 0.1113 (0.1154) loss_seg: 0.1202 (0.1245) loss_lansim: 0.1125 (0.1221) loss_contra: 0.0003 (0.0152) time: 2.5670 data: 0.0026 max mem: 31671 Epoch: [9] [4090/5278] eta: 0:50:05 lr: 3.885477005669332e-05 loss: 0.1113 (0.1154) loss_seg: 0.1234 (0.1245) loss_lansim: 0.1138 (0.1221) loss_contra: 0.0003 (0.0151) time: 2.5532 data: 0.0026 max mem: 31671 Epoch: [9] [4100/5278] eta: 0:49:40 lr: 3.885257798872636e-05 loss: 0.1113 (0.1155) loss_seg: 0.1234 (0.1245) loss_lansim: 0.1144 (0.1221) loss_contra: 0.0003 (0.0151) time: 2.5508 data: 0.0026 max mem: 31671 Epoch: [9] [4110/5278] eta: 0:49:14 lr: 3.885038590701744e-05 loss: 0.1146 (0.1155) loss_seg: 0.1271 (0.1246) loss_lansim: 0.1164 (0.1221) loss_contra: 0.0002 (0.0151) time: 2.5508 data: 0.0026 max mem: 31671 Epoch: [9] [4120/5278] eta: 0:48:49 lr: 3.8848193811565624e-05 loss: 0.1109 (0.1155) loss_seg: 0.1227 (0.1246) loss_lansim: 0.1153 (0.1221) loss_contra: 0.0002 (0.0150) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [9] [4130/5278] eta: 0:48:24 lr: 3.884600170236996e-05 loss: 0.1073 (0.1154) loss_seg: 0.1190 (0.1245) loss_lansim: 0.1165 (0.1221) loss_contra: 0.0002 (0.0150) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [9] [4140/5278] eta: 0:47:58 lr: 3.884380957942951e-05 loss: 0.1109 (0.1156) loss_seg: 0.1227 (0.1247) loss_lansim: 0.1161 (0.1220) loss_contra: 0.0002 (0.0150) time: 2.5401 data: 0.0025 max mem: 31671 Epoch: [9] [4150/5278] eta: 0:47:33 lr: 3.8841617442743306e-05 loss: 0.1061 (0.1156) loss_seg: 0.1152 (0.1246) loss_lansim: 0.1162 (0.1220) loss_contra: 0.0002 (0.0150) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [9] [4160/5278] eta: 0:47:08 lr: 3.8839425292310414e-05 loss: 0.1066 (0.1156) loss_seg: 0.1184 (0.1247) loss_lansim: 0.1162 (0.1220) loss_contra: 0.0002 (0.0149) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [9] [4170/5278] eta: 0:46:43 lr: 3.883723312812989e-05 loss: 0.1039 (0.1156) loss_seg: 0.1137 (0.1247) loss_lansim: 0.1156 (0.1220) loss_contra: 0.0002 (0.0149) time: 2.5488 data: 0.0025 max mem: 31671 Epoch: [9] [4180/5278] eta: 0:46:18 lr: 3.8835040950200774e-05 loss: 0.1066 (0.1157) loss_seg: 0.1152 (0.1248) loss_lansim: 0.1162 (0.1220) loss_contra: 0.0002 (0.0149) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [9] [4190/5278] eta: 0:45:52 lr: 3.8832848758522114e-05 loss: 0.1067 (0.1158) loss_seg: 0.1183 (0.1248) loss_lansim: 0.1162 (0.1220) loss_contra: 0.0001 (0.0149) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [9] [4200/5278] eta: 0:45:27 lr: 3.883065655309298e-05 loss: 0.1068 (0.1158) loss_seg: 0.1184 (0.1249) loss_lansim: 0.1165 (0.1220) loss_contra: 0.0001 (0.0149) time: 2.5458 data: 0.0026 max mem: 31671 Epoch: [9] [4210/5278] eta: 0:45:02 lr: 3.8828464333912406e-05 loss: 0.1047 (0.1158) loss_seg: 0.1152 (0.1249) loss_lansim: 0.1162 (0.1220) loss_contra: 0.0002 (0.0149) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [9] [4220/5278] eta: 0:44:36 lr: 3.8826272100979454e-05 loss: 0.1067 (0.1158) loss_seg: 0.1183 (0.1249) loss_lansim: 0.1180 (0.1220) loss_contra: 0.0002 (0.0149) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [9] [4230/5278] eta: 0:44:11 lr: 3.882407985429317e-05 loss: 0.1093 (0.1158) loss_seg: 0.1213 (0.1249) loss_lansim: 0.1162 (0.1220) loss_contra: 0.0002 (0.0149) time: 2.5464 data: 0.0025 max mem: 31671 Epoch: [9] [4240/5278] eta: 0:43:46 lr: 3.88218875938526e-05 loss: 0.1067 (0.1158) loss_seg: 0.1150 (0.1249) loss_lansim: 0.1169 (0.1220) loss_contra: 0.0004 (0.0149) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [9] [4250/5278] eta: 0:43:20 lr: 3.881969531965681e-05 loss: 0.1068 (0.1158) loss_seg: 0.1183 (0.1249) loss_lansim: 0.1162 (0.1219) loss_contra: 0.0004 (0.0149) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [9] [4260/5278] eta: 0:42:55 lr: 3.881750303170483e-05 loss: 0.1037 (0.1157) loss_seg: 0.1073 (0.1248) loss_lansim: 0.1156 (0.1219) loss_contra: 0.0003 (0.0149) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [9] [4270/5278] eta: 0:42:30 lr: 3.881531072999572e-05 loss: 0.0974 (0.1157) loss_seg: 0.1052 (0.1248) loss_lansim: 0.1156 (0.1219) loss_contra: 0.0003 (0.0148) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [9] [4280/5278] eta: 0:42:04 lr: 3.881311841452854e-05 loss: 0.0970 (0.1157) loss_seg: 0.1044 (0.1247) loss_lansim: 0.1156 (0.1219) loss_contra: 0.0003 (0.0148) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [9] [4290/5278] eta: 0:41:39 lr: 3.8810926085302326e-05 loss: 0.0937 (0.1156) loss_seg: 0.1026 (0.1247) loss_lansim: 0.1152 (0.1219) loss_contra: 0.0003 (0.0148) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [9] [4300/5278] eta: 0:41:14 lr: 3.880873374231613e-05 loss: 0.0930 (0.1156) loss_seg: 0.0991 (0.1246) loss_lansim: 0.1145 (0.1219) loss_contra: 0.0004 (0.0148) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [9] [4310/5278] eta: 0:40:49 lr: 3.880654138556901e-05 loss: 0.0963 (0.1156) loss_seg: 0.1005 (0.1247) loss_lansim: 0.1142 (0.1219) loss_contra: 0.0004 (0.0148) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [9] [4320/5278] eta: 0:40:24 lr: 3.8804349015060006e-05 loss: 0.0971 (0.1156) loss_seg: 0.1026 (0.1246) loss_lansim: 0.1141 (0.1218) loss_contra: 0.0003 (0.0147) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [9] [4330/5278] eta: 0:39:58 lr: 3.8802156630788186e-05 loss: 0.0951 (0.1155) loss_seg: 0.0971 (0.1246) loss_lansim: 0.1136 (0.1218) loss_contra: 0.0003 (0.0147) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [9] [4340/5278] eta: 0:39:33 lr: 3.8799964232752575e-05 loss: 0.0994 (0.1156) loss_seg: 0.1052 (0.1246) loss_lansim: 0.1136 (0.1218) loss_contra: 0.0002 (0.0147) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [9] [4350/5278] eta: 0:39:07 lr: 3.879777182095224e-05 loss: 0.0963 (0.1155) loss_seg: 0.0999 (0.1246) loss_lansim: 0.1125 (0.1218) loss_contra: 0.0002 (0.0147) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [9] [4360/5278] eta: 0:38:42 lr: 3.879557939538622e-05 loss: 0.1016 (0.1156) loss_seg: 0.1116 (0.1247) loss_lansim: 0.1125 (0.1218) loss_contra: 0.0002 (0.0147) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [9] [4370/5278] eta: 0:38:17 lr: 3.879338695605357e-05 loss: 0.1041 (0.1157) loss_seg: 0.1154 (0.1247) loss_lansim: 0.1123 (0.1218) loss_contra: 0.0002 (0.0146) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [9] [4380/5278] eta: 0:37:51 lr: 3.879119450295334e-05 loss: 0.1050 (0.1157) loss_seg: 0.1164 (0.1248) loss_lansim: 0.1123 (0.1217) loss_contra: 0.0002 (0.0147) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [9] [4390/5278] eta: 0:37:26 lr: 3.878900203608457e-05 loss: 0.1043 (0.1157) loss_seg: 0.1157 (0.1247) loss_lansim: 0.1123 (0.1217) loss_contra: 0.0001 (0.0146) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [9] [4400/5278] eta: 0:37:01 lr: 3.878680955544632e-05 loss: 0.1048 (0.1156) loss_seg: 0.1157 (0.1247) loss_lansim: 0.1121 (0.1217) loss_contra: 0.0001 (0.0146) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [9] [4410/5278] eta: 0:36:36 lr: 3.878461706103763e-05 loss: 0.1043 (0.1157) loss_seg: 0.1154 (0.1247) loss_lansim: 0.1121 (0.1217) loss_contra: 0.0002 (0.0146) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [9] [4420/5278] eta: 0:36:10 lr: 3.8782424552857546e-05 loss: 0.1043 (0.1156) loss_seg: 0.1142 (0.1247) loss_lansim: 0.1123 (0.1217) loss_contra: 0.0001 (0.0146) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [9] [4430/5278] eta: 0:35:45 lr: 3.878023203090514e-05 loss: 0.1058 (0.1156) loss_seg: 0.1157 (0.1247) loss_lansim: 0.1125 (0.1217) loss_contra: 0.0001 (0.0146) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [9] [4440/5278] eta: 0:35:20 lr: 3.877803949517944e-05 loss: 0.1043 (0.1156) loss_seg: 0.1141 (0.1247) loss_lansim: 0.1121 (0.1216) loss_contra: 0.0001 (0.0146) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [9] [4450/5278] eta: 0:34:54 lr: 3.877584694567948e-05 loss: 0.1043 (0.1156) loss_seg: 0.1141 (0.1246) loss_lansim: 0.1138 (0.1216) loss_contra: 0.0002 (0.0146) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [9] [4460/5278] eta: 0:34:29 lr: 3.8773654382404346e-05 loss: 0.0979 (0.1155) loss_seg: 0.1065 (0.1246) loss_lansim: 0.1142 (0.1216) loss_contra: 0.0002 (0.0145) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [9] [4470/5278] eta: 0:34:04 lr: 3.877146180535305e-05 loss: 0.0984 (0.1156) loss_seg: 0.1065 (0.1246) loss_lansim: 0.1142 (0.1216) loss_contra: 0.0002 (0.0145) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [9] [4480/5278] eta: 0:33:39 lr: 3.876926921452467e-05 loss: 0.0979 (0.1157) loss_seg: 0.1062 (0.1247) loss_lansim: 0.1177 (0.1216) loss_contra: 0.0002 (0.0145) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [9] [4490/5278] eta: 0:33:13 lr: 3.876707660991823e-05 loss: 0.1020 (0.1157) loss_seg: 0.1065 (0.1248) loss_lansim: 0.1181 (0.1216) loss_contra: 0.0002 (0.0145) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [9] [4500/5278] eta: 0:32:48 lr: 3.876488399153278e-05 loss: 0.1021 (0.1157) loss_seg: 0.1121 (0.1247) loss_lansim: 0.1171 (0.1216) loss_contra: 0.0002 (0.0144) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [9] [4510/5278] eta: 0:32:23 lr: 3.8762691359367385e-05 loss: 0.1020 (0.1157) loss_seg: 0.1092 (0.1247) loss_lansim: 0.1165 (0.1216) loss_contra: 0.0002 (0.0144) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [9] [4520/5278] eta: 0:31:58 lr: 3.876049871342108e-05 loss: 0.0984 (0.1156) loss_seg: 0.1062 (0.1247) loss_lansim: 0.1138 (0.1216) loss_contra: 0.0002 (0.0145) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [9] [4530/5278] eta: 0:31:32 lr: 3.875830605369291e-05 loss: 0.1007 (0.1157) loss_seg: 0.1090 (0.1248) loss_lansim: 0.1135 (0.1215) loss_contra: 0.0001 (0.0144) time: 2.5536 data: 0.0025 max mem: 31671 Epoch: [9] [4540/5278] eta: 0:31:07 lr: 3.875611338018193e-05 loss: 0.1009 (0.1158) loss_seg: 0.1092 (0.1249) loss_lansim: 0.1135 (0.1215) loss_contra: 0.0002 (0.0144) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [9] [4550/5278] eta: 0:30:42 lr: 3.875392069288718e-05 loss: 0.1048 (0.1158) loss_seg: 0.1159 (0.1249) loss_lansim: 0.1133 (0.1215) loss_contra: 0.0002 (0.0144) time: 2.5562 data: 0.0025 max mem: 31671 Epoch: [9] [4560/5278] eta: 0:30:17 lr: 3.875172799180771e-05 loss: 0.1076 (0.1158) loss_seg: 0.1195 (0.1249) loss_lansim: 0.1126 (0.1215) loss_contra: 0.0001 (0.0144) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [9] [4570/5278] eta: 0:29:51 lr: 3.874953527694256e-05 loss: 0.1063 (0.1158) loss_seg: 0.1181 (0.1249) loss_lansim: 0.1120 (0.1214) loss_contra: 0.0002 (0.0144) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [9] [4580/5278] eta: 0:29:26 lr: 3.8747342548290785e-05 loss: 0.1009 (0.1157) loss_seg: 0.1121 (0.1248) loss_lansim: 0.1105 (0.1214) loss_contra: 0.0002 (0.0144) time: 2.5543 data: 0.0025 max mem: 31671 Epoch: [9] [4590/5278] eta: 0:29:01 lr: 3.8745149805851435e-05 loss: 0.1009 (0.1158) loss_seg: 0.1118 (0.1248) loss_lansim: 0.1108 (0.1214) loss_contra: 0.0002 (0.0144) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [9] [4600/5278] eta: 0:28:35 lr: 3.874295704962354e-05 loss: 0.0982 (0.1157) loss_seg: 0.1063 (0.1248) loss_lansim: 0.1115 (0.1214) loss_contra: 0.0002 (0.0143) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [9] [4610/5278] eta: 0:28:10 lr: 3.874076427960616e-05 loss: 0.0982 (0.1157) loss_seg: 0.1063 (0.1247) loss_lansim: 0.1119 (0.1214) loss_contra: 0.0002 (0.0143) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [9] [4620/5278] eta: 0:27:45 lr: 3.8738571495798345e-05 loss: 0.0994 (0.1156) loss_seg: 0.1092 (0.1247) loss_lansim: 0.1118 (0.1214) loss_contra: 0.0002 (0.0143) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [9] [4630/5278] eta: 0:27:20 lr: 3.8736378698199125e-05 loss: 0.0982 (0.1156) loss_seg: 0.1063 (0.1247) loss_lansim: 0.1118 (0.1214) loss_contra: 0.0003 (0.0143) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [9] [4640/5278] eta: 0:26:54 lr: 3.873418588680755e-05 loss: 0.0954 (0.1156) loss_seg: 0.1057 (0.1247) loss_lansim: 0.1116 (0.1214) loss_contra: 0.0003 (0.0143) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [9] [4650/5278] eta: 0:26:29 lr: 3.873199306162268e-05 loss: 0.0939 (0.1156) loss_seg: 0.1023 (0.1246) loss_lansim: 0.1118 (0.1213) loss_contra: 0.0002 (0.0143) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [9] [4660/5278] eta: 0:26:04 lr: 3.872980022264355e-05 loss: 0.0923 (0.1155) loss_seg: 0.1018 (0.1246) loss_lansim: 0.1127 (0.1213) loss_contra: 0.0002 (0.0142) time: 2.5548 data: 0.0025 max mem: 31671 Epoch: [9] [4670/5278] eta: 0:25:39 lr: 3.87276073698692e-05 loss: 0.0939 (0.1155) loss_seg: 0.1014 (0.1246) loss_lansim: 0.1147 (0.1213) loss_contra: 0.0002 (0.0142) time: 2.5649 data: 0.0025 max mem: 31671 Epoch: [9] [4680/5278] eta: 0:25:13 lr: 3.872541450329868e-05 loss: 0.0972 (0.1156) loss_seg: 0.1063 (0.1247) loss_lansim: 0.1148 (0.1213) loss_contra: 0.0002 (0.0142) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [9] [4690/5278] eta: 0:24:48 lr: 3.872322162293104e-05 loss: 0.0965 (0.1156) loss_seg: 0.1062 (0.1246) loss_lansim: 0.1127 (0.1213) loss_contra: 0.0002 (0.0143) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [9] [4700/5278] eta: 0:24:23 lr: 3.872102872876532e-05 loss: 0.0964 (0.1155) loss_seg: 0.1039 (0.1246) loss_lansim: 0.1127 (0.1213) loss_contra: 0.0003 (0.0143) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [9] [4710/5278] eta: 0:23:57 lr: 3.871883582080057e-05 loss: 0.0972 (0.1156) loss_seg: 0.1067 (0.1246) loss_lansim: 0.1148 (0.1213) loss_contra: 0.0003 (0.0144) time: 2.5390 data: 0.0024 max mem: 31671 Epoch: [9] [4720/5278] eta: 0:23:32 lr: 3.8716642899035826e-05 loss: 0.1014 (0.1156) loss_seg: 0.1099 (0.1246) loss_lansim: 0.1165 (0.1213) loss_contra: 0.0003 (0.0144) time: 2.5400 data: 0.0025 max mem: 31671 Epoch: [9] [4730/5278] eta: 0:23:07 lr: 3.871444996347014e-05 loss: 0.0991 (0.1155) loss_seg: 0.1070 (0.1246) loss_lansim: 0.1166 (0.1213) loss_contra: 0.0004 (0.0144) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [9] [4740/5278] eta: 0:22:41 lr: 3.871225701410256e-05 loss: 0.0992 (0.1155) loss_seg: 0.1074 (0.1246) loss_lansim: 0.1166 (0.1213) loss_contra: 0.0004 (0.0144) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [9] [4750/5278] eta: 0:22:16 lr: 3.8710064050932114e-05 loss: 0.1014 (0.1156) loss_seg: 0.1099 (0.1246) loss_lansim: 0.1167 (0.1213) loss_contra: 0.0006 (0.0144) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [9] [4760/5278] eta: 0:21:50 lr: 3.870787107395786e-05 loss: 0.1018 (0.1156) loss_seg: 0.1106 (0.1246) loss_lansim: 0.1178 (0.1213) loss_contra: 0.0007 (0.0144) time: 2.5045 data: 0.0025 max mem: 31671 Epoch: [9] [4770/5278] eta: 0:21:25 lr: 3.8705678083178836e-05 loss: 0.1069 (0.1156) loss_seg: 0.1138 (0.1247) loss_lansim: 0.1166 (0.1213) loss_contra: 0.0006 (0.0144) time: 2.4857 data: 0.0025 max mem: 31671 Epoch: [9] [4780/5278] eta: 0:21:00 lr: 3.870348507859409e-05 loss: 0.1081 (0.1156) loss_seg: 0.1129 (0.1247) loss_lansim: 0.1161 (0.1213) loss_contra: 0.0006 (0.0144) time: 2.4850 data: 0.0025 max mem: 31671 Epoch: [9] [4790/5278] eta: 0:20:34 lr: 3.870129206020267e-05 loss: 0.1030 (0.1156) loss_seg: 0.1129 (0.1246) loss_lansim: 0.1161 (0.1213) loss_contra: 0.0009 (0.0144) time: 2.4812 data: 0.0025 max mem: 31671 Epoch: [9] [4800/5278] eta: 0:20:09 lr: 3.8699099028003615e-05 loss: 0.1100 (0.1156) loss_seg: 0.1211 (0.1247) loss_lansim: 0.1148 (0.1212) loss_contra: 0.0004 (0.0143) time: 2.4877 data: 0.0026 max mem: 31671 Epoch: [9] [4810/5278] eta: 0:19:44 lr: 3.8696905981995964e-05 loss: 0.1030 (0.1156) loss_seg: 0.1129 (0.1246) loss_lansim: 0.1121 (0.1212) loss_contra: 0.0004 (0.0143) time: 2.5059 data: 0.0026 max mem: 31671 Epoch: [9] [4820/5278] eta: 0:19:18 lr: 3.869471292217877e-05 loss: 0.1037 (0.1156) loss_seg: 0.1147 (0.1247) loss_lansim: 0.1121 (0.1212) loss_contra: 0.0003 (0.0143) time: 2.4964 data: 0.0025 max mem: 31671 Epoch: [9] [4830/5278] eta: 0:18:53 lr: 3.869251984855107e-05 loss: 0.1069 (0.1156) loss_seg: 0.1185 (0.1247) loss_lansim: 0.1146 (0.1212) loss_contra: 0.0002 (0.0143) time: 2.4956 data: 0.0026 max mem: 31671 Epoch: [9] [4840/5278] eta: 0:18:28 lr: 3.869032676111189e-05 loss: 0.1066 (0.1156) loss_seg: 0.1162 (0.1247) loss_lansim: 0.1149 (0.1212) loss_contra: 0.0002 (0.0143) time: 2.5058 data: 0.0025 max mem: 31671 Epoch: [9] [4850/5278] eta: 0:18:02 lr: 3.868813365986031e-05 loss: 0.1069 (0.1157) loss_seg: 0.1162 (0.1247) loss_lansim: 0.1148 (0.1212) loss_contra: 0.0002 (0.0143) time: 2.5067 data: 0.0025 max mem: 31671 Epoch: [9] [4860/5278] eta: 0:17:37 lr: 3.868594054479536e-05 loss: 0.1091 (0.1157) loss_seg: 0.1186 (0.1247) loss_lansim: 0.1149 (0.1212) loss_contra: 0.0002 (0.0142) time: 2.5054 data: 0.0025 max mem: 31671 Epoch: [9] [4870/5278] eta: 0:17:12 lr: 3.8683747415916066e-05 loss: 0.1087 (0.1157) loss_seg: 0.1185 (0.1248) loss_lansim: 0.1174 (0.1212) loss_contra: 0.0002 (0.0143) time: 2.5139 data: 0.0025 max mem: 31671 Epoch: [9] [4880/5278] eta: 0:16:46 lr: 3.8681554273221495e-05 loss: 0.1069 (0.1157) loss_seg: 0.1162 (0.1248) loss_lansim: 0.1174 (0.1212) loss_contra: 0.0002 (0.0142) time: 2.5101 data: 0.0025 max mem: 31671 Epoch: [9] [4890/5278] eta: 0:16:21 lr: 3.867936111671066e-05 loss: 0.1118 (0.1157) loss_seg: 0.1186 (0.1248) loss_lansim: 0.1180 (0.1212) loss_contra: 0.0002 (0.0142) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [9] [4900/5278] eta: 0:15:56 lr: 3.8677167946382634e-05 loss: 0.1062 (0.1157) loss_seg: 0.1160 (0.1248) loss_lansim: 0.1200 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5154 data: 0.0025 max mem: 31671 Epoch: [9] [4910/5278] eta: 0:15:31 lr: 3.867497476223644e-05 loss: 0.1087 (0.1157) loss_seg: 0.1185 (0.1247) loss_lansim: 0.1212 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [9] [4920/5278] eta: 0:15:05 lr: 3.867278156427112e-05 loss: 0.1087 (0.1157) loss_seg: 0.1162 (0.1248) loss_lansim: 0.1211 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5246 data: 0.0025 max mem: 31671 Epoch: [9] [4930/5278] eta: 0:14:40 lr: 3.867058835248573e-05 loss: 0.1077 (0.1157) loss_seg: 0.1162 (0.1248) loss_lansim: 0.1197 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [9] [4940/5278] eta: 0:14:15 lr: 3.8668395126879305e-05 loss: 0.1087 (0.1158) loss_seg: 0.1181 (0.1249) loss_lansim: 0.1192 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5229 data: 0.0025 max mem: 31671 Epoch: [9] [4950/5278] eta: 0:13:49 lr: 3.866620188745088e-05 loss: 0.1077 (0.1157) loss_seg: 0.1181 (0.1248) loss_lansim: 0.1192 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [9] [4960/5278] eta: 0:13:24 lr: 3.866400863419952e-05 loss: 0.1114 (0.1158) loss_seg: 0.1193 (0.1249) loss_lansim: 0.1200 (0.1212) loss_contra: 0.0003 (0.0143) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [9] [4970/5278] eta: 0:12:59 lr: 3.866181536712423e-05 loss: 0.1065 (0.1158) loss_seg: 0.1160 (0.1249) loss_lansim: 0.1191 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5533 data: 0.0025 max mem: 31671 Epoch: [9] [4980/5278] eta: 0:12:34 lr: 3.8659622086224076e-05 loss: 0.1077 (0.1158) loss_seg: 0.1181 (0.1249) loss_lansim: 0.1187 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5566 data: 0.0025 max mem: 31671 Epoch: [9] [4990/5278] eta: 0:12:08 lr: 3.8657428791498096e-05 loss: 0.1023 (0.1157) loss_seg: 0.1116 (0.1248) loss_lansim: 0.1184 (0.1212) loss_contra: 0.0002 (0.0142) time: 2.5672 data: 0.0025 max mem: 31671 Epoch: [9] [5000/5278] eta: 0:11:43 lr: 3.8655235482945326e-05 loss: 0.1008 (0.1157) loss_seg: 0.1116 (0.1248) loss_lansim: 0.1166 (0.1212) loss_contra: 0.0002 (0.0142) time: 2.5605 data: 0.0025 max mem: 31671 Epoch: [9] [5010/5278] eta: 0:11:18 lr: 3.865304216056482e-05 loss: 0.1028 (0.1158) loss_seg: 0.1130 (0.1249) loss_lansim: 0.1169 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [9] [5020/5278] eta: 0:10:52 lr: 3.86508488243556e-05 loss: 0.1008 (0.1157) loss_seg: 0.1113 (0.1248) loss_lansim: 0.1187 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [9] [5030/5278] eta: 0:10:27 lr: 3.8648655474316724e-05 loss: 0.0984 (0.1157) loss_seg: 0.1046 (0.1248) loss_lansim: 0.1187 (0.1212) loss_contra: 0.0003 (0.0142) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [9] [5040/5278] eta: 0:10:02 lr: 3.864646211044722e-05 loss: 0.0938 (0.1156) loss_seg: 0.1015 (0.1247) loss_lansim: 0.1191 (0.1212) loss_contra: 0.0003 (0.0141) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [9] [5050/5278] eta: 0:09:36 lr: 3.8644268732746144e-05 loss: 0.0941 (0.1156) loss_seg: 0.1015 (0.1247) loss_lansim: 0.1214 (0.1212) loss_contra: 0.0003 (0.0141) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [9] [5060/5278] eta: 0:09:11 lr: 3.864207534121251e-05 loss: 0.0941 (0.1156) loss_seg: 0.1031 (0.1247) loss_lansim: 0.1200 (0.1212) loss_contra: 0.0003 (0.0141) time: 2.5385 data: 0.0025 max mem: 31671 Epoch: [9] [5070/5278] eta: 0:08:46 lr: 3.8639881935845386e-05 loss: 0.0944 (0.1156) loss_seg: 0.1038 (0.1247) loss_lansim: 0.1215 (0.1213) loss_contra: 0.0003 (0.0141) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [9] [5080/5278] eta: 0:08:21 lr: 3.8637688516643794e-05 loss: 0.0941 (0.1157) loss_seg: 0.1038 (0.1247) loss_lansim: 0.1217 (0.1212) loss_contra: 0.0003 (0.0140) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [9] [5090/5278] eta: 0:07:55 lr: 3.863549508360679e-05 loss: 0.1023 (0.1157) loss_seg: 0.1112 (0.1248) loss_lansim: 0.1215 (0.1212) loss_contra: 0.0004 (0.0141) time: 2.5239 data: 0.0025 max mem: 31671 Epoch: [9] [5100/5278] eta: 0:07:30 lr: 3.86333016367334e-05 loss: 0.1039 (0.1157) loss_seg: 0.1113 (0.1248) loss_lansim: 0.1215 (0.1212) loss_contra: 0.0004 (0.0141) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [9] [5110/5278] eta: 0:07:05 lr: 3.863110817602267e-05 loss: 0.1003 (0.1157) loss_seg: 0.1073 (0.1248) loss_lansim: 0.1217 (0.1212) loss_contra: 0.0004 (0.0141) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [9] [5120/5278] eta: 0:06:39 lr: 3.862891470147363e-05 loss: 0.1023 (0.1157) loss_seg: 0.1104 (0.1248) loss_lansim: 0.1231 (0.1212) loss_contra: 0.0004 (0.0140) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [9] [5130/5278] eta: 0:06:14 lr: 3.8626721213085346e-05 loss: 0.1074 (0.1158) loss_seg: 0.1160 (0.1249) loss_lansim: 0.1229 (0.1212) loss_contra: 0.0002 (0.0140) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [9] [5140/5278] eta: 0:05:49 lr: 3.8624527710856826e-05 loss: 0.1084 (0.1158) loss_seg: 0.1171 (0.1249) loss_lansim: 0.1230 (0.1212) loss_contra: 0.0002 (0.0140) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [9] [5150/5278] eta: 0:05:23 lr: 3.862233419478713e-05 loss: 0.1120 (0.1158) loss_seg: 0.1203 (0.1250) loss_lansim: 0.1218 (0.1212) loss_contra: 0.0002 (0.0140) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [9] [5160/5278] eta: 0:04:58 lr: 3.862014066487529e-05 loss: 0.1120 (0.1158) loss_seg: 0.1192 (0.1250) loss_lansim: 0.1217 (0.1212) loss_contra: 0.0002 (0.0140) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [9] [5170/5278] eta: 0:04:33 lr: 3.861794712112034e-05 loss: 0.1120 (0.1158) loss_seg: 0.1179 (0.1249) loss_lansim: 0.1198 (0.1212) loss_contra: 0.0002 (0.0139) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [9] [5180/5278] eta: 0:04:08 lr: 3.861575356352133e-05 loss: 0.1074 (0.1158) loss_seg: 0.1147 (0.1249) loss_lansim: 0.1200 (0.1212) loss_contra: 0.0003 (0.0139) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [9] [5190/5278] eta: 0:03:42 lr: 3.8613559992077284e-05 loss: 0.1023 (0.1158) loss_seg: 0.1131 (0.1249) loss_lansim: 0.1220 (0.1213) loss_contra: 0.0002 (0.0139) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [9] [5200/5278] eta: 0:03:17 lr: 3.8611366406787256e-05 loss: 0.1023 (0.1158) loss_seg: 0.1131 (0.1249) loss_lansim: 0.1230 (0.1213) loss_contra: 0.0002 (0.0139) time: 2.5512 data: 0.0026 max mem: 31671 Epoch: [9] [5210/5278] eta: 0:02:52 lr: 3.860917280765028e-05 loss: 0.1056 (0.1159) loss_seg: 0.1147 (0.1250) loss_lansim: 0.1230 (0.1213) loss_contra: 0.0002 (0.0139) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [9] [5220/5278] eta: 0:02:26 lr: 3.860697919466539e-05 loss: 0.1074 (0.1159) loss_seg: 0.1171 (0.1250) loss_lansim: 0.1221 (0.1213) loss_contra: 0.0002 (0.0139) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [9] [5230/5278] eta: 0:02:01 lr: 3.860478556783163e-05 loss: 0.1037 (0.1159) loss_seg: 0.1135 (0.1250) loss_lansim: 0.1244 (0.1213) loss_contra: 0.0003 (0.0139) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [9] [5240/5278] eta: 0:01:36 lr: 3.860259192714804e-05 loss: 0.1037 (0.1159) loss_seg: 0.1140 (0.1250) loss_lansim: 0.1248 (0.1213) loss_contra: 0.0003 (0.0139) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [9] [5250/5278] eta: 0:01:10 lr: 3.860039827261365e-05 loss: 0.1016 (0.1159) loss_seg: 0.1118 (0.1250) loss_lansim: 0.1242 (0.1213) loss_contra: 0.0003 (0.0140) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [9] [5260/5278] eta: 0:00:45 lr: 3.8598204604227494e-05 loss: 0.1023 (0.1159) loss_seg: 0.1118 (0.1250) loss_lansim: 0.1248 (0.1213) loss_contra: 0.0003 (0.0140) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [9] [5270/5278] eta: 0:00:20 lr: 3.8596010921988616e-05 loss: 0.1023 (0.1159) loss_seg: 0.1096 (0.1250) loss_lansim: 0.1263 (0.1213) loss_contra: 0.0003 (0.0140) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [9] Total time: 3:42:39 Test: [ 0/2573] eta: 1:39:22 time: 2.3172 data: 2.1458 max mem: 31671 Test: [ 100/2573] eta: 0:06:41 time: 0.1407 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:07 time: 0.1475 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:42 time: 0.1415 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:23 time: 0.1438 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:06 time: 0.1446 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:51 time: 0.1463 data: 0.0016 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1493 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1480 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1471 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1464 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:37 time: 0.1443 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1457 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1461 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1426 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1461 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:22 time: 0.1447 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1473 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1450 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1407 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1413 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1463 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1409 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1467 data: 0.0017 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1440 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1468 data: 0.0016 max mem: 31671 Test: Total time: 0:06:15 Final results: precision@0.5 = 59.89 precision@0.6 = 53.90 precision@0.7 = 45.59 precision@0.8 = 33.88 precision@0.9 = 14.83 overall IoU = 52.39 mean IoU = 53.80 Average object IoU 0.5380118765013138 Overall IoU 52.39027606069276 Better epoch: 9 The best_performance is 52.39027606069276 Epoch: [10] [ 0/5278] eta: 6:03:26 lr: 3.859425596622291e-05 loss: 0.1060 (0.1060) loss_seg: 0.1048 (0.1048) loss_lansim: 0.1190 (0.1190) loss_contra: 0.0000 (0.0000) time: 4.1316 data: 1.3898 max mem: 31671 Epoch: [10] [ 10/5278] eta: 3:56:59 lr: 3.859206225904672e-05 loss: 0.1060 (0.1515) loss_seg: 0.1048 (0.1630) loss_lansim: 0.1168 (0.1179) loss_contra: 0.0014 (0.0205) time: 2.6992 data: 0.1280 max mem: 31671 Epoch: [10] [ 20/5278] eta: 3:52:46 lr: 3.858986853801511e-05 loss: 0.1060 (0.1344) loss_seg: 0.1048 (0.1450) loss_lansim: 0.1221 (0.1239) loss_contra: 0.0004 (0.0115) time: 2.6562 data: 0.0680 max mem: 31671 Epoch: [10] [ 30/5278] eta: 3:50:45 lr: 3.858767480312712e-05 loss: 0.0846 (0.1199) loss_seg: 0.0935 (0.1294) loss_lansim: 0.1191 (0.1217) loss_contra: 0.0007 (0.0083) time: 2.6383 data: 0.0468 max mem: 31671 Epoch: [10] [ 40/5278] eta: 3:48:43 lr: 3.858548105438179e-05 loss: 0.1022 (0.1194) loss_seg: 0.1048 (0.1298) loss_lansim: 0.1201 (0.1222) loss_contra: 0.0002 (0.0093) time: 2.6201 data: 0.0360 max mem: 31671 Epoch: [10] [ 50/5278] eta: 3:47:36 lr: 3.8583287291778156e-05 loss: 0.0910 (0.1116) loss_seg: 0.0978 (0.1210) loss_lansim: 0.1191 (0.1211) loss_contra: 0.0007 (0.0095) time: 2.6121 data: 0.0295 max mem: 31671 Epoch: [10] [ 60/5278] eta: 3:44:48 lr: 3.858109351531525e-05 loss: 0.0938 (0.1136) loss_seg: 0.0978 (0.1233) loss_lansim: 0.1201 (0.1208) loss_contra: 0.0007 (0.0087) time: 2.5851 data: 0.0250 max mem: 31671 Epoch: [10] [ 70/5278] eta: 3:43:26 lr: 3.857889972499212e-05 loss: 0.0968 (0.1140) loss_seg: 0.1004 (0.1234) loss_lansim: 0.1190 (0.1197) loss_contra: 0.0004 (0.0076) time: 2.5743 data: 0.0219 max mem: 31671 Epoch: [10] [ 80/5278] eta: 3:42:16 lr: 3.8576705920807796e-05 loss: 0.0942 (0.1105) loss_seg: 0.0978 (0.1197) loss_lansim: 0.1181 (0.1191) loss_contra: 0.0006 (0.0076) time: 2.5657 data: 0.0195 max mem: 31671 Epoch: [10] [ 90/5278] eta: 3:41:45 lr: 3.857451210276132e-05 loss: 0.0942 (0.1088) loss_seg: 0.1004 (0.1178) loss_lansim: 0.1181 (0.1194) loss_contra: 0.0007 (0.0088) time: 2.5647 data: 0.0176 max mem: 31671 Epoch: [10] [ 100/5278] eta: 3:42:10 lr: 3.8572318270851706e-05 loss: 0.0938 (0.1074) loss_seg: 0.0978 (0.1164) loss_lansim: 0.1196 (0.1202) loss_contra: 0.0007 (0.0089) time: 2.5590 data: 0.0024 max mem: 31671 Epoch: [10] [ 110/5278] eta: 3:40:52 lr: 3.857012442507803e-05 loss: 0.0953 (0.1083) loss_seg: 0.1028 (0.1171) loss_lansim: 0.1217 (0.1208) loss_contra: 0.0004 (0.0082) time: 2.5496 data: 0.0024 max mem: 31671 Epoch: [10] [ 120/5278] eta: 3:40:04 lr: 3.8567930565439286e-05 loss: 0.0929 (0.1065) loss_seg: 0.0978 (0.1149) loss_lansim: 0.1206 (0.1210) loss_contra: 0.0005 (0.0127) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [10] [ 130/5278] eta: 3:39:15 lr: 3.856573669193455e-05 loss: 0.0938 (0.1072) loss_seg: 0.1027 (0.1158) loss_lansim: 0.1222 (0.1215) loss_contra: 0.0005 (0.0132) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [10] [ 140/5278] eta: 3:38:27 lr: 3.8563542804562816e-05 loss: 0.0938 (0.1085) loss_seg: 0.1027 (0.1172) loss_lansim: 0.1218 (0.1216) loss_contra: 0.0005 (0.0125) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [10] [ 150/5278] eta: 3:37:34 lr: 3.856134890332315e-05 loss: 0.0949 (0.1087) loss_seg: 0.1049 (0.1176) loss_lansim: 0.1222 (0.1213) loss_contra: 0.0004 (0.0124) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [10] [ 160/5278] eta: 3:37:12 lr: 3.8559154988214585e-05 loss: 0.0969 (0.1099) loss_seg: 0.1051 (0.1189) loss_lansim: 0.1208 (0.1205) loss_contra: 0.0004 (0.0120) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [10] [ 170/5278] eta: 3:36:41 lr: 3.855696105923615e-05 loss: 0.0948 (0.1099) loss_seg: 0.1049 (0.1188) loss_lansim: 0.1209 (0.1203) loss_contra: 0.0004 (0.0114) time: 2.5248 data: 0.0025 max mem: 31671 Epoch: [10] [ 180/5278] eta: 3:36:36 lr: 3.8554767116386876e-05 loss: 0.0953 (0.1115) loss_seg: 0.1050 (0.1205) loss_lansim: 0.1209 (0.1203) loss_contra: 0.0003 (0.0131) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [10] [ 190/5278] eta: 3:36:08 lr: 3.8552573159665806e-05 loss: 0.0949 (0.1103) loss_seg: 0.1049 (0.1190) loss_lansim: 0.1214 (0.1204) loss_contra: 0.0003 (0.0129) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [10] [ 200/5278] eta: 3:35:53 lr: 3.855037918907197e-05 loss: 0.0948 (0.1092) loss_seg: 0.1017 (0.1180) loss_lansim: 0.1192 (0.1203) loss_contra: 0.0003 (0.0136) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [10] [ 210/5278] eta: 3:35:24 lr: 3.854818520460441e-05 loss: 0.0948 (0.1096) loss_seg: 0.1027 (0.1182) loss_lansim: 0.1174 (0.1203) loss_contra: 0.0004 (0.0136) time: 2.5345 data: 0.0026 max mem: 31671 Epoch: [10] [ 220/5278] eta: 3:34:51 lr: 3.854599120626215e-05 loss: 0.0971 (0.1093) loss_seg: 0.1050 (0.1179) loss_lansim: 0.1164 (0.1198) loss_contra: 0.0003 (0.0134) time: 2.5354 data: 0.0026 max mem: 31671 Epoch: [10] [ 230/5278] eta: 3:34:19 lr: 3.854379719404424e-05 loss: 0.0975 (0.1090) loss_seg: 0.1051 (0.1176) loss_lansim: 0.1154 (0.1199) loss_contra: 0.0003 (0.0145) time: 2.5369 data: 0.0026 max mem: 31671 Epoch: [10] [ 240/5278] eta: 3:33:45 lr: 3.8541603167949705e-05 loss: 0.0948 (0.1079) loss_seg: 0.1017 (0.1164) loss_lansim: 0.1149 (0.1195) loss_contra: 0.0003 (0.0141) time: 2.5385 data: 0.0026 max mem: 31671 Epoch: [10] [ 250/5278] eta: 3:33:16 lr: 3.853940912797757e-05 loss: 0.0921 (0.1069) loss_seg: 0.0959 (0.1153) loss_lansim: 0.1148 (0.1190) loss_contra: 0.0002 (0.0148) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [10] [ 260/5278] eta: 3:33:02 lr: 3.8537215074126884e-05 loss: 0.0921 (0.1073) loss_seg: 0.0959 (0.1157) loss_lansim: 0.1149 (0.1193) loss_contra: 0.0003 (0.0147) time: 2.5489 data: 0.0025 max mem: 31671 Epoch: [10] [ 270/5278] eta: 3:32:24 lr: 3.8535021006396685e-05 loss: 0.0930 (0.1075) loss_seg: 0.0986 (0.1159) loss_lansim: 0.1149 (0.1189) loss_contra: 0.0002 (0.0143) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [10] [ 280/5278] eta: 3:31:55 lr: 3.8532826924785994e-05 loss: 0.0913 (0.1073) loss_seg: 0.0975 (0.1157) loss_lansim: 0.1151 (0.1190) loss_contra: 0.0003 (0.0139) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [10] [ 290/5278] eta: 3:31:15 lr: 3.853063282929385e-05 loss: 0.0914 (0.1076) loss_seg: 0.1012 (0.1160) loss_lansim: 0.1148 (0.1192) loss_contra: 0.0004 (0.0138) time: 2.5268 data: 0.0025 max mem: 31671 Epoch: [10] [ 300/5278] eta: 3:30:51 lr: 3.852843871991929e-05 loss: 0.0933 (0.1075) loss_seg: 0.1029 (0.1159) loss_lansim: 0.1149 (0.1191) loss_contra: 0.0002 (0.0135) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [10] [ 310/5278] eta: 3:30:39 lr: 3.8526244596661335e-05 loss: 0.0913 (0.1070) loss_seg: 0.0997 (0.1155) loss_lansim: 0.1146 (0.1190) loss_contra: 0.0002 (0.0131) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [10] [ 320/5278] eta: 3:30:07 lr: 3.852405045951904e-05 loss: 0.0889 (0.1067) loss_seg: 0.0975 (0.1152) loss_lansim: 0.1149 (0.1191) loss_contra: 0.0002 (0.0128) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [10] [ 330/5278] eta: 3:29:48 lr: 3.852185630849142e-05 loss: 0.0881 (0.1066) loss_seg: 0.0974 (0.1150) loss_lansim: 0.1132 (0.1187) loss_contra: 0.0002 (0.0125) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [10] [ 340/5278] eta: 3:29:22 lr: 3.851966214357752e-05 loss: 0.0913 (0.1070) loss_seg: 0.1012 (0.1156) loss_lansim: 0.1151 (0.1187) loss_contra: 0.0002 (0.0122) time: 2.5401 data: 0.0025 max mem: 31671 Epoch: [10] [ 350/5278] eta: 3:28:55 lr: 3.851746796477636e-05 loss: 0.0913 (0.1062) loss_seg: 0.1007 (0.1146) loss_lansim: 0.1169 (0.1187) loss_contra: 0.0002 (0.0120) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [10] [ 360/5278] eta: 3:28:30 lr: 3.8515273772086984e-05 loss: 0.0901 (0.1063) loss_seg: 0.0987 (0.1147) loss_lansim: 0.1174 (0.1189) loss_contra: 0.0002 (0.0117) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [10] [ 370/5278] eta: 3:27:51 lr: 3.851307956550843e-05 loss: 0.0913 (0.1061) loss_seg: 0.1007 (0.1145) loss_lansim: 0.1185 (0.1190) loss_contra: 0.0002 (0.0114) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [10] [ 380/5278] eta: 3:27:26 lr: 3.851088534503972e-05 loss: 0.0901 (0.1058) loss_seg: 0.0987 (0.1141) loss_lansim: 0.1185 (0.1188) loss_contra: 0.0002 (0.0112) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [10] [ 390/5278] eta: 3:26:58 lr: 3.850869111067989e-05 loss: 0.0890 (0.1055) loss_seg: 0.0963 (0.1137) loss_lansim: 0.1187 (0.1189) loss_contra: 0.0001 (0.0109) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [10] [ 400/5278] eta: 3:26:26 lr: 3.850649686242797e-05 loss: 0.0909 (0.1057) loss_seg: 0.0987 (0.1140) loss_lansim: 0.1192 (0.1192) loss_contra: 0.0002 (0.0107) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [10] [ 410/5278] eta: 3:26:02 lr: 3.8504302600282995e-05 loss: 0.0922 (0.1080) loss_seg: 0.0987 (0.1166) loss_lansim: 0.1210 (0.1195) loss_contra: 0.0001 (0.0105) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [10] [ 420/5278] eta: 3:25:33 lr: 3.8502108324244e-05 loss: 0.0922 (0.1076) loss_seg: 0.0984 (0.1162) loss_lansim: 0.1210 (0.1196) loss_contra: 0.0002 (0.0117) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [10] [ 430/5278] eta: 3:25:14 lr: 3.849991403431002e-05 loss: 0.0890 (0.1076) loss_seg: 0.0950 (0.1161) loss_lansim: 0.1210 (0.1196) loss_contra: 0.0002 (0.0122) time: 2.5261 data: 0.0024 max mem: 31671 Epoch: [10] [ 440/5278] eta: 3:24:50 lr: 3.849771973048007e-05 loss: 0.0890 (0.1080) loss_seg: 0.0950 (0.1165) loss_lansim: 0.1210 (0.1195) loss_contra: 0.0003 (0.0120) time: 2.5279 data: 0.0024 max mem: 31671 Epoch: [10] [ 450/5278] eta: 3:24:14 lr: 3.8495525412753205e-05 loss: 0.0934 (0.1081) loss_seg: 0.0984 (0.1167) loss_lansim: 0.1225 (0.1196) loss_contra: 0.0003 (0.0118) time: 2.5186 data: 0.0025 max mem: 31671 Epoch: [10] [ 460/5278] eta: 3:23:54 lr: 3.8493331081128434e-05 loss: 0.0919 (0.1075) loss_seg: 0.0979 (0.1160) loss_lansim: 0.1192 (0.1193) loss_contra: 0.0005 (0.0119) time: 2.5232 data: 0.0024 max mem: 31671 Epoch: [10] [ 470/5278] eta: 3:23:34 lr: 3.849113673560481e-05 loss: 0.0934 (0.1075) loss_seg: 0.0984 (0.1160) loss_lansim: 0.1193 (0.1194) loss_contra: 0.0007 (0.0117) time: 2.5387 data: 0.0024 max mem: 31671 Epoch: [10] [ 480/5278] eta: 3:23:07 lr: 3.8488942376181343e-05 loss: 0.0967 (0.1083) loss_seg: 0.1069 (0.1168) loss_lansim: 0.1192 (0.1194) loss_contra: 0.0007 (0.0116) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [10] [ 490/5278] eta: 3:22:40 lr: 3.848674800285708e-05 loss: 0.0999 (0.1086) loss_seg: 0.1108 (0.1171) loss_lansim: 0.1193 (0.1194) loss_contra: 0.0008 (0.0115) time: 2.5371 data: 0.0025 max mem: 31671 Epoch: [10] [ 500/5278] eta: 3:22:10 lr: 3.848455361563106e-05 loss: 0.0967 (0.1085) loss_seg: 0.1070 (0.1171) loss_lansim: 0.1179 (0.1194) loss_contra: 0.0008 (0.0114) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [10] [ 510/5278] eta: 3:21:46 lr: 3.8482359214502295e-05 loss: 0.0967 (0.1085) loss_seg: 0.1070 (0.1170) loss_lansim: 0.1179 (0.1195) loss_contra: 0.0008 (0.0115) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [10] [ 520/5278] eta: 3:21:14 lr: 3.848016479946982e-05 loss: 0.1043 (0.1085) loss_seg: 0.1131 (0.1170) loss_lansim: 0.1165 (0.1194) loss_contra: 0.0008 (0.0113) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [10] [ 530/5278] eta: 3:20:49 lr: 3.847797037053267e-05 loss: 0.1030 (0.1078) loss_seg: 0.1131 (0.1163) loss_lansim: 0.1170 (0.1194) loss_contra: 0.0008 (0.0113) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [10] [ 540/5278] eta: 3:20:23 lr: 3.847577592768988e-05 loss: 0.0982 (0.1076) loss_seg: 0.1089 (0.1161) loss_lansim: 0.1169 (0.1194) loss_contra: 0.0007 (0.0112) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [10] [ 550/5278] eta: 3:19:55 lr: 3.847358147094047e-05 loss: 0.0967 (0.1075) loss_seg: 0.1072 (0.1160) loss_lansim: 0.1154 (0.1192) loss_contra: 0.0006 (0.0111) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [10] [ 560/5278] eta: 3:19:31 lr: 3.847138700028348e-05 loss: 0.1043 (0.1080) loss_seg: 0.1131 (0.1165) loss_lansim: 0.1165 (0.1193) loss_contra: 0.0003 (0.0111) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [10] [ 570/5278] eta: 3:19:13 lr: 3.846919251571794e-05 loss: 0.1043 (0.1082) loss_seg: 0.1131 (0.1167) loss_lansim: 0.1149 (0.1192) loss_contra: 0.0002 (0.0109) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [10] [ 580/5278] eta: 3:18:41 lr: 3.846699801724288e-05 loss: 0.0966 (0.1078) loss_seg: 0.1037 (0.1163) loss_lansim: 0.1149 (0.1192) loss_contra: 0.0003 (0.0108) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [10] [ 590/5278] eta: 3:18:12 lr: 3.846480350485732e-05 loss: 0.0938 (0.1080) loss_seg: 0.0974 (0.1165) loss_lansim: 0.1144 (0.1191) loss_contra: 0.0003 (0.0106) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [10] [ 600/5278] eta: 3:17:42 lr: 3.846260897856029e-05 loss: 0.0966 (0.1082) loss_seg: 0.1066 (0.1168) loss_lansim: 0.1147 (0.1192) loss_contra: 0.0002 (0.0105) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [10] [ 610/5278] eta: 3:17:20 lr: 3.846041443835084e-05 loss: 0.0982 (0.1088) loss_seg: 0.1089 (0.1174) loss_lansim: 0.1139 (0.1191) loss_contra: 0.0004 (0.0104) time: 2.5231 data: 0.0026 max mem: 31671 Epoch: [10] [ 620/5278] eta: 3:16:55 lr: 3.8458219884227976e-05 loss: 0.0966 (0.1086) loss_seg: 0.1066 (0.1173) loss_lansim: 0.1139 (0.1191) loss_contra: 0.0004 (0.0104) time: 2.5305 data: 0.0026 max mem: 31671 Epoch: [10] [ 630/5278] eta: 3:16:22 lr: 3.8456025316190746e-05 loss: 0.0983 (0.1088) loss_seg: 0.1075 (0.1174) loss_lansim: 0.1144 (0.1193) loss_contra: 0.0004 (0.0104) time: 2.5199 data: 0.0026 max mem: 31671 Epoch: [10] [ 640/5278] eta: 3:15:55 lr: 3.8453830734238174e-05 loss: 0.0983 (0.1085) loss_seg: 0.1067 (0.1171) loss_lansim: 0.1147 (0.1193) loss_contra: 0.0004 (0.0102) time: 2.5176 data: 0.0026 max mem: 31671 Epoch: [10] [ 650/5278] eta: 3:15:30 lr: 3.845163613836928e-05 loss: 0.0990 (0.1085) loss_seg: 0.1075 (0.1171) loss_lansim: 0.1162 (0.1194) loss_contra: 0.0004 (0.0101) time: 2.5204 data: 0.0026 max mem: 31671 Epoch: [10] [ 660/5278] eta: 3:15:10 lr: 3.844944152858311e-05 loss: 0.0970 (0.1083) loss_seg: 0.1066 (0.1169) loss_lansim: 0.1161 (0.1194) loss_contra: 0.0004 (0.0104) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [10] [ 670/5278] eta: 3:14:40 lr: 3.8447246904878676e-05 loss: 0.0963 (0.1083) loss_seg: 0.1035 (0.1168) loss_lansim: 0.1182 (0.1194) loss_contra: 0.0004 (0.0104) time: 2.5111 data: 0.0026 max mem: 31671 Epoch: [10] [ 680/5278] eta: 3:14:14 lr: 3.844505226725501e-05 loss: 0.0963 (0.1081) loss_seg: 0.1044 (0.1166) loss_lansim: 0.1202 (0.1195) loss_contra: 0.0004 (0.0103) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [10] [ 690/5278] eta: 3:13:50 lr: 3.844285761571116e-05 loss: 0.0921 (0.1079) loss_seg: 0.0992 (0.1164) loss_lansim: 0.1209 (0.1197) loss_contra: 0.0003 (0.0102) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [10] [ 700/5278] eta: 3:13:23 lr: 3.844066295024612e-05 loss: 0.0906 (0.1075) loss_seg: 0.0967 (0.1161) loss_lansim: 0.1197 (0.1196) loss_contra: 0.0003 (0.0107) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [10] [ 710/5278] eta: 3:12:58 lr: 3.8438468270858965e-05 loss: 0.0874 (0.1074) loss_seg: 0.0949 (0.1159) loss_lansim: 0.1201 (0.1197) loss_contra: 0.0002 (0.0106) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [10] [ 720/5278] eta: 3:12:32 lr: 3.843627357754868e-05 loss: 0.0858 (0.1071) loss_seg: 0.0925 (0.1157) loss_lansim: 0.1210 (0.1198) loss_contra: 0.0003 (0.0108) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [10] [ 730/5278] eta: 3:12:06 lr: 3.843407887031431e-05 loss: 0.0847 (0.1069) loss_seg: 0.0923 (0.1154) loss_lansim: 0.1210 (0.1200) loss_contra: 0.0003 (0.0116) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [10] [ 740/5278] eta: 3:11:39 lr: 3.843188414915489e-05 loss: 0.0864 (0.1068) loss_seg: 0.0925 (0.1152) loss_lansim: 0.1210 (0.1201) loss_contra: 0.0004 (0.0115) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [10] [ 750/5278] eta: 3:11:16 lr: 3.842968941406944e-05 loss: 0.0832 (0.1065) loss_seg: 0.0894 (0.1149) loss_lansim: 0.1210 (0.1202) loss_contra: 0.0003 (0.0116) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [10] [ 760/5278] eta: 3:10:51 lr: 3.842749466505699e-05 loss: 0.0852 (0.1066) loss_seg: 0.0898 (0.1151) loss_lansim: 0.1220 (0.1203) loss_contra: 0.0004 (0.0115) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [10] [ 770/5278] eta: 3:10:20 lr: 3.842529990211656e-05 loss: 0.0797 (0.1067) loss_seg: 0.0878 (0.1152) loss_lansim: 0.1255 (0.1207) loss_contra: 0.0005 (0.0115) time: 2.5246 data: 0.0025 max mem: 31671 Epoch: [10] [ 780/5278] eta: 3:09:57 lr: 3.842310512524719e-05 loss: 0.0852 (0.1068) loss_seg: 0.0931 (0.1152) loss_lansim: 0.1258 (0.1208) loss_contra: 0.0005 (0.0115) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [10] [ 790/5278] eta: 3:09:29 lr: 3.8420910334447914e-05 loss: 0.0904 (0.1068) loss_seg: 0.1001 (0.1152) loss_lansim: 0.1250 (0.1208) loss_contra: 0.0005 (0.0113) time: 2.5212 data: 0.0026 max mem: 31671 Epoch: [10] [ 800/5278] eta: 3:08:59 lr: 3.8418715529717735e-05 loss: 0.0881 (0.1064) loss_seg: 0.0957 (0.1148) loss_lansim: 0.1255 (0.1208) loss_contra: 0.0005 (0.0112) time: 2.5164 data: 0.0026 max mem: 31671 Epoch: [10] [ 810/5278] eta: 3:08:31 lr: 3.8416520711055694e-05 loss: 0.0904 (0.1062) loss_seg: 0.0957 (0.1146) loss_lansim: 0.1264 (0.1209) loss_contra: 0.0005 (0.0111) time: 2.5098 data: 0.0026 max mem: 31671 Epoch: [10] [ 820/5278] eta: 3:08:03 lr: 3.841432587846083e-05 loss: 0.0965 (0.1064) loss_seg: 0.1036 (0.1147) loss_lansim: 0.1254 (0.1208) loss_contra: 0.0004 (0.0109) time: 2.5060 data: 0.0026 max mem: 31671 Epoch: [10] [ 830/5278] eta: 3:07:38 lr: 3.8412131031932135e-05 loss: 0.1000 (0.1066) loss_seg: 0.1080 (0.1150) loss_lansim: 0.1258 (0.1209) loss_contra: 0.0004 (0.0114) time: 2.5069 data: 0.0025 max mem: 31671 Epoch: [10] [ 840/5278] eta: 3:07:11 lr: 3.840993617146867e-05 loss: 0.1023 (0.1072) loss_seg: 0.1103 (0.1156) loss_lansim: 0.1258 (0.1211) loss_contra: 0.0004 (0.0113) time: 2.5061 data: 0.0026 max mem: 31671 Epoch: [10] [ 850/5278] eta: 3:06:49 lr: 3.840774129706946e-05 loss: 0.1023 (0.1071) loss_seg: 0.1103 (0.1156) loss_lansim: 0.1250 (0.1210) loss_contra: 0.0004 (0.0112) time: 2.5091 data: 0.0026 max mem: 31671 Epoch: [10] [ 860/5278] eta: 3:06:24 lr: 3.840554640873351e-05 loss: 0.1000 (0.1070) loss_seg: 0.1080 (0.1154) loss_lansim: 0.1244 (0.1211) loss_contra: 0.0003 (0.0111) time: 2.5090 data: 0.0026 max mem: 31671 Epoch: [10] [ 870/5278] eta: 3:06:00 lr: 3.840335150645987e-05 loss: 0.1000 (0.1075) loss_seg: 0.1080 (0.1160) loss_lansim: 0.1236 (0.1212) loss_contra: 0.0002 (0.0112) time: 2.5192 data: 0.0026 max mem: 31671 Epoch: [10] [ 880/5278] eta: 3:05:34 lr: 3.840115659024754e-05 loss: 0.0965 (0.1073) loss_seg: 0.1043 (0.1158) loss_lansim: 0.1242 (0.1213) loss_contra: 0.0001 (0.0111) time: 2.5148 data: 0.0025 max mem: 31671 Epoch: [10] [ 890/5278] eta: 3:05:08 lr: 3.839896166009557e-05 loss: 0.0965 (0.1075) loss_seg: 0.1043 (0.1160) loss_lansim: 0.1246 (0.1214) loss_contra: 0.0002 (0.0113) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [10] [ 900/5278] eta: 3:04:43 lr: 3.839676671600297e-05 loss: 0.0970 (0.1076) loss_seg: 0.1067 (0.1161) loss_lansim: 0.1261 (0.1215) loss_contra: 0.0002 (0.0113) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [10] [ 910/5278] eta: 3:04:19 lr: 3.8394571757968775e-05 loss: 0.0961 (0.1074) loss_seg: 0.1031 (0.1159) loss_lansim: 0.1255 (0.1215) loss_contra: 0.0002 (0.0112) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [10] [ 920/5278] eta: 3:03:54 lr: 3.8392376785992016e-05 loss: 0.0940 (0.1073) loss_seg: 0.1028 (0.1158) loss_lansim: 0.1261 (0.1216) loss_contra: 0.0003 (0.0112) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [10] [ 930/5278] eta: 3:03:27 lr: 3.839018180007171e-05 loss: 0.0924 (0.1076) loss_seg: 0.0952 (0.1161) loss_lansim: 0.1283 (0.1217) loss_contra: 0.0002 (0.0111) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [10] [ 940/5278] eta: 3:02:59 lr: 3.838798680020688e-05 loss: 0.0847 (0.1075) loss_seg: 0.0926 (0.1160) loss_lansim: 0.1288 (0.1218) loss_contra: 0.0003 (0.0110) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [10] [ 950/5278] eta: 3:02:30 lr: 3.8385791786396565e-05 loss: 0.0924 (0.1077) loss_seg: 0.0946 (0.1162) loss_lansim: 0.1293 (0.1219) loss_contra: 0.0003 (0.0110) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [10] [ 960/5278] eta: 3:02:04 lr: 3.838359675863977e-05 loss: 0.0862 (0.1073) loss_seg: 0.0935 (0.1157) loss_lansim: 0.1293 (0.1220) loss_contra: 0.0003 (0.0109) time: 2.5171 data: 0.0025 max mem: 31671 Epoch: [10] [ 970/5278] eta: 3:01:41 lr: 3.838140171693553e-05 loss: 0.0868 (0.1076) loss_seg: 0.0948 (0.1161) loss_lansim: 0.1295 (0.1221) loss_contra: 0.0003 (0.0108) time: 2.5187 data: 0.0025 max mem: 31671 Epoch: [10] [ 980/5278] eta: 3:01:14 lr: 3.837920666128288e-05 loss: 0.0868 (0.1075) loss_seg: 0.0948 (0.1160) loss_lansim: 0.1276 (0.1222) loss_contra: 0.0003 (0.0112) time: 2.5174 data: 0.0025 max mem: 31671 Epoch: [10] [ 990/5278] eta: 3:00:46 lr: 3.837701159168083e-05 loss: 0.0858 (0.1073) loss_seg: 0.0935 (0.1158) loss_lansim: 0.1275 (0.1222) loss_contra: 0.0003 (0.0111) time: 2.5112 data: 0.0025 max mem: 31671 Epoch: [10] [1000/5278] eta: 3:00:22 lr: 3.8374816508128425e-05 loss: 0.0846 (0.1076) loss_seg: 0.0916 (0.1161) loss_lansim: 0.1275 (0.1223) loss_contra: 0.0003 (0.0110) time: 2.5112 data: 0.0025 max mem: 31671 Epoch: [10] [1010/5278] eta: 2:59:51 lr: 3.837262141062466e-05 loss: 0.0908 (0.1077) loss_seg: 0.0948 (0.1162) loss_lansim: 0.1275 (0.1223) loss_contra: 0.0003 (0.0111) time: 2.4961 data: 0.0025 max mem: 31671 Epoch: [10] [1020/5278] eta: 2:59:26 lr: 3.837042629916858e-05 loss: 0.0924 (0.1076) loss_seg: 0.0988 (0.1161) loss_lansim: 0.1269 (0.1223) loss_contra: 0.0003 (0.0111) time: 2.4988 data: 0.0025 max mem: 31671 Epoch: [10] [1030/5278] eta: 2:59:02 lr: 3.836823117375921e-05 loss: 0.0927 (0.1075) loss_seg: 0.1005 (0.1160) loss_lansim: 0.1250 (0.1222) loss_contra: 0.0003 (0.0110) time: 2.5031 data: 0.0025 max mem: 31671 Epoch: [10] [1040/5278] eta: 2:58:35 lr: 3.836603603439556e-05 loss: 0.0942 (0.1075) loss_seg: 0.1005 (0.1159) loss_lansim: 0.1248 (0.1222) loss_contra: 0.0003 (0.0109) time: 2.5058 data: 0.0025 max mem: 31671 Epoch: [10] [1050/5278] eta: 2:58:12 lr: 3.8363840881076675e-05 loss: 0.0858 (0.1075) loss_seg: 0.0918 (0.1159) loss_lansim: 0.1248 (0.1222) loss_contra: 0.0002 (0.0108) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [10] [1060/5278] eta: 2:57:48 lr: 3.836164571380156e-05 loss: 0.0927 (0.1076) loss_seg: 0.1005 (0.1160) loss_lansim: 0.1240 (0.1222) loss_contra: 0.0002 (0.0107) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [10] [1070/5278] eta: 2:57:20 lr: 3.835945053256924e-05 loss: 0.0927 (0.1075) loss_seg: 0.0997 (0.1159) loss_lansim: 0.1236 (0.1223) loss_contra: 0.0001 (0.0106) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [10] [1080/5278] eta: 2:56:55 lr: 3.835725533737876e-05 loss: 0.0910 (0.1073) loss_seg: 0.0997 (0.1157) loss_lansim: 0.1214 (0.1221) loss_contra: 0.0001 (0.0106) time: 2.5148 data: 0.0025 max mem: 31671 Epoch: [10] [1090/5278] eta: 2:56:28 lr: 3.835506012822912e-05 loss: 0.0942 (0.1073) loss_seg: 0.0999 (0.1156) loss_lansim: 0.1214 (0.1221) loss_contra: 0.0001 (0.0105) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [10] [1100/5278] eta: 2:56:03 lr: 3.835286490511935e-05 loss: 0.0901 (0.1075) loss_seg: 0.0984 (0.1158) loss_lansim: 0.1202 (0.1221) loss_contra: 0.0001 (0.0104) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [10] [1110/5278] eta: 2:55:37 lr: 3.835066966804848e-05 loss: 0.0887 (0.1074) loss_seg: 0.0951 (0.1157) loss_lansim: 0.1185 (0.1220) loss_contra: 0.0001 (0.0103) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [10] [1120/5278] eta: 2:55:12 lr: 3.8348474417015526e-05 loss: 0.0832 (0.1070) loss_seg: 0.0918 (0.1153) loss_lansim: 0.1174 (0.1219) loss_contra: 0.0001 (0.0103) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [10] [1130/5278] eta: 2:54:50 lr: 3.834627915201952e-05 loss: 0.0835 (0.1070) loss_seg: 0.0923 (0.1153) loss_lansim: 0.1180 (0.1219) loss_contra: 0.0001 (0.0102) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [10] [1140/5278] eta: 2:54:26 lr: 3.834408387305947e-05 loss: 0.0835 (0.1070) loss_seg: 0.0923 (0.1153) loss_lansim: 0.1177 (0.1220) loss_contra: 0.0001 (0.0101) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [10] [1150/5278] eta: 2:53:59 lr: 3.834188858013442e-05 loss: 0.0887 (0.1071) loss_seg: 0.0951 (0.1153) loss_lansim: 0.1174 (0.1220) loss_contra: 0.0001 (0.0101) time: 2.5269 data: 0.0026 max mem: 31671 Epoch: [10] [1160/5278] eta: 2:53:31 lr: 3.833969327324337e-05 loss: 0.0842 (0.1070) loss_seg: 0.0933 (0.1153) loss_lansim: 0.1174 (0.1220) loss_contra: 0.0001 (0.0100) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [10] [1170/5278] eta: 2:53:05 lr: 3.8337497952385355e-05 loss: 0.0845 (0.1070) loss_seg: 0.0933 (0.1153) loss_lansim: 0.1155 (0.1218) loss_contra: 0.0001 (0.0099) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [10] [1180/5278] eta: 2:52:40 lr: 3.83353026175594e-05 loss: 0.0858 (0.1072) loss_seg: 0.0938 (0.1155) loss_lansim: 0.1153 (0.1218) loss_contra: 0.0001 (0.0099) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [10] [1190/5278] eta: 2:52:13 lr: 3.833310726876452e-05 loss: 0.0858 (0.1071) loss_seg: 0.0933 (0.1154) loss_lansim: 0.1147 (0.1217) loss_contra: 0.0001 (0.0098) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [10] [1200/5278] eta: 2:51:47 lr: 3.8330911905999735e-05 loss: 0.0901 (0.1075) loss_seg: 0.0950 (0.1157) loss_lansim: 0.1147 (0.1216) loss_contra: 0.0001 (0.0098) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [10] [1210/5278] eta: 2:51:19 lr: 3.832871652926408e-05 loss: 0.0902 (0.1073) loss_seg: 0.0945 (0.1156) loss_lansim: 0.1144 (0.1215) loss_contra: 0.0001 (0.0097) time: 2.5143 data: 0.0025 max mem: 31671 Epoch: [10] [1220/5278] eta: 2:50:54 lr: 3.832652113855656e-05 loss: 0.0917 (0.1076) loss_seg: 0.0999 (0.1159) loss_lansim: 0.1147 (0.1215) loss_contra: 0.0001 (0.0097) time: 2.5135 data: 0.0025 max mem: 31671 Epoch: [10] [1230/5278] eta: 2:50:30 lr: 3.832432573387621e-05 loss: 0.0917 (0.1077) loss_seg: 0.0999 (0.1160) loss_lansim: 0.1139 (0.1214) loss_contra: 0.0001 (0.0096) time: 2.5056 data: 0.0025 max mem: 31671 Epoch: [10] [1240/5278] eta: 2:50:01 lr: 3.8322130315222063e-05 loss: 0.0917 (0.1078) loss_seg: 0.0999 (0.1161) loss_lansim: 0.1125 (0.1213) loss_contra: 0.0001 (0.0098) time: 2.4937 data: 0.0025 max mem: 31671 Epoch: [10] [1250/5278] eta: 2:49:35 lr: 3.83199348825931e-05 loss: 0.0939 (0.1077) loss_seg: 0.1016 (0.1160) loss_lansim: 0.1119 (0.1213) loss_contra: 0.0001 (0.0098) time: 2.4958 data: 0.0025 max mem: 31671 Epoch: [10] [1260/5278] eta: 2:49:09 lr: 3.831773943598839e-05 loss: 0.0939 (0.1075) loss_seg: 0.1016 (0.1158) loss_lansim: 0.1113 (0.1212) loss_contra: 0.0001 (0.0098) time: 2.4982 data: 0.0025 max mem: 31671 Epoch: [10] [1270/5278] eta: 2:48:42 lr: 3.831554397540692e-05 loss: 0.0939 (0.1075) loss_seg: 0.1029 (0.1158) loss_lansim: 0.1132 (0.1212) loss_contra: 0.0002 (0.0097) time: 2.4945 data: 0.0025 max mem: 31671 Epoch: [10] [1280/5278] eta: 2:48:14 lr: 3.8313348500847725e-05 loss: 0.0967 (0.1078) loss_seg: 0.1039 (0.1161) loss_lansim: 0.1134 (0.1211) loss_contra: 0.0002 (0.0097) time: 2.4857 data: 0.0025 max mem: 31671 Epoch: [10] [1290/5278] eta: 2:47:50 lr: 3.831115301230983e-05 loss: 0.0967 (0.1075) loss_seg: 0.1039 (0.1158) loss_lansim: 0.1123 (0.1210) loss_contra: 0.0001 (0.0097) time: 2.4950 data: 0.0025 max mem: 31671 Epoch: [10] [1300/5278] eta: 2:47:24 lr: 3.8308957509792245e-05 loss: 0.0865 (0.1076) loss_seg: 0.0959 (0.1159) loss_lansim: 0.1137 (0.1210) loss_contra: 0.0001 (0.0097) time: 2.4934 data: 0.0025 max mem: 31671 Epoch: [10] [1310/5278] eta: 2:46:57 lr: 3.830676199329399e-05 loss: 0.0849 (0.1074) loss_seg: 0.0942 (0.1157) loss_lansim: 0.1132 (0.1209) loss_contra: 0.0002 (0.0097) time: 2.4962 data: 0.0025 max mem: 31671 Epoch: [10] [1320/5278] eta: 2:46:29 lr: 3.8304566462814106e-05 loss: 0.0849 (0.1074) loss_seg: 0.0942 (0.1157) loss_lansim: 0.1132 (0.1209) loss_contra: 0.0002 (0.0096) time: 2.4834 data: 0.0025 max mem: 31671 Epoch: [10] [1330/5278] eta: 2:46:02 lr: 3.830237091835158e-05 loss: 0.0835 (0.1071) loss_seg: 0.0915 (0.1154) loss_lansim: 0.1115 (0.1208) loss_contra: 0.0002 (0.0096) time: 2.4788 data: 0.0025 max mem: 31671 Epoch: [10] [1340/5278] eta: 2:45:36 lr: 3.830017535990547e-05 loss: 0.0838 (0.1072) loss_seg: 0.0920 (0.1155) loss_lansim: 0.1115 (0.1207) loss_contra: 0.0002 (0.0097) time: 2.4853 data: 0.0025 max mem: 31671 Epoch: [10] [1350/5278] eta: 2:45:10 lr: 3.829797978747477e-05 loss: 0.0835 (0.1071) loss_seg: 0.0915 (0.1154) loss_lansim: 0.1115 (0.1206) loss_contra: 0.0002 (0.0097) time: 2.4829 data: 0.0025 max mem: 31671 Epoch: [10] [1360/5278] eta: 2:44:44 lr: 3.8295784201058506e-05 loss: 0.0867 (0.1072) loss_seg: 0.0928 (0.1155) loss_lansim: 0.1108 (0.1205) loss_contra: 0.0002 (0.0101) time: 2.4844 data: 0.0025 max mem: 31671 Epoch: [10] [1370/5278] eta: 2:44:19 lr: 3.8293588600655704e-05 loss: 0.0869 (0.1071) loss_seg: 0.0928 (0.1154) loss_lansim: 0.1101 (0.1205) loss_contra: 0.0002 (0.0100) time: 2.4888 data: 0.0025 max mem: 31671 Epoch: [10] [1380/5278] eta: 2:43:52 lr: 3.829139298626537e-05 loss: 0.0869 (0.1071) loss_seg: 0.0928 (0.1154) loss_lansim: 0.1107 (0.1205) loss_contra: 0.0003 (0.0101) time: 2.4925 data: 0.0025 max mem: 31671 Epoch: [10] [1390/5278] eta: 2:43:28 lr: 3.828919735788655e-05 loss: 0.0870 (0.1070) loss_seg: 0.0942 (0.1152) loss_lansim: 0.1124 (0.1205) loss_contra: 0.0003 (0.0102) time: 2.4938 data: 0.0025 max mem: 31671 Epoch: [10] [1400/5278] eta: 2:43:03 lr: 3.828700171551823e-05 loss: 0.0869 (0.1068) loss_seg: 0.0928 (0.1150) loss_lansim: 0.1108 (0.1204) loss_contra: 0.0003 (0.0102) time: 2.4956 data: 0.0025 max mem: 31671 Epoch: [10] [1410/5278] eta: 2:42:36 lr: 3.828480605915945e-05 loss: 0.0890 (0.1068) loss_seg: 0.0963 (0.1151) loss_lansim: 0.1124 (0.1204) loss_contra: 0.0002 (0.0102) time: 2.4935 data: 0.0025 max mem: 31671 Epoch: [10] [1420/5278] eta: 2:42:12 lr: 3.828261038880924e-05 loss: 0.0890 (0.1068) loss_seg: 0.0949 (0.1150) loss_lansim: 0.1123 (0.1204) loss_contra: 0.0002 (0.0106) time: 2.5069 data: 0.0025 max mem: 31671 Epoch: [10] [1430/5278] eta: 2:41:49 lr: 3.828041470446659e-05 loss: 0.0890 (0.1066) loss_seg: 0.0964 (0.1148) loss_lansim: 0.1124 (0.1203) loss_contra: 0.0002 (0.0105) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [10] [1440/5278] eta: 2:41:22 lr: 3.827821900613054e-05 loss: 0.0877 (0.1066) loss_seg: 0.0952 (0.1149) loss_lansim: 0.1124 (0.1203) loss_contra: 0.0002 (0.0105) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [10] [1450/5278] eta: 2:40:56 lr: 3.82760232938001e-05 loss: 0.0877 (0.1066) loss_seg: 0.0952 (0.1148) loss_lansim: 0.1119 (0.1202) loss_contra: 0.0002 (0.0105) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [10] [1460/5278] eta: 2:40:30 lr: 3.827382756747429e-05 loss: 0.0902 (0.1068) loss_seg: 0.0996 (0.1150) loss_lansim: 0.1130 (0.1202) loss_contra: 0.0002 (0.0105) time: 2.5141 data: 0.0025 max mem: 31671 Epoch: [10] [1470/5278] eta: 2:40:04 lr: 3.8271631827152135e-05 loss: 0.0902 (0.1069) loss_seg: 0.0996 (0.1151) loss_lansim: 0.1141 (0.1202) loss_contra: 0.0002 (0.0107) time: 2.5134 data: 0.0025 max mem: 31671 Epoch: [10] [1480/5278] eta: 2:39:38 lr: 3.826943607283265e-05 loss: 0.0901 (0.1069) loss_seg: 0.0977 (0.1152) loss_lansim: 0.1130 (0.1202) loss_contra: 0.0002 (0.0106) time: 2.5171 data: 0.0025 max mem: 31671 Epoch: [10] [1490/5278] eta: 2:39:15 lr: 3.8267240304514844e-05 loss: 0.0902 (0.1069) loss_seg: 0.0996 (0.1152) loss_lansim: 0.1123 (0.1202) loss_contra: 0.0002 (0.0106) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [10] [1500/5278] eta: 2:38:49 lr: 3.826504452219776e-05 loss: 0.0903 (0.1068) loss_seg: 0.1000 (0.1151) loss_lansim: 0.1130 (0.1202) loss_contra: 0.0002 (0.0106) time: 2.5145 data: 0.0026 max mem: 31671 Epoch: [10] [1510/5278] eta: 2:38:24 lr: 3.826284872588038e-05 loss: 0.0902 (0.1067) loss_seg: 0.0965 (0.1150) loss_lansim: 0.1120 (0.1201) loss_contra: 0.0003 (0.0105) time: 2.5218 data: 0.0026 max mem: 31671 Epoch: [10] [1520/5278] eta: 2:38:01 lr: 3.826065291556175e-05 loss: 0.0907 (0.1067) loss_seg: 0.0977 (0.1150) loss_lansim: 0.1131 (0.1201) loss_contra: 0.0003 (0.0108) time: 2.5307 data: 0.0026 max mem: 31671 Epoch: [10] [1530/5278] eta: 2:37:36 lr: 3.825845709124089e-05 loss: 0.0958 (0.1069) loss_seg: 0.1062 (0.1152) loss_lansim: 0.1130 (0.1201) loss_contra: 0.0002 (0.0108) time: 2.5211 data: 0.0026 max mem: 31671 Epoch: [10] [1540/5278] eta: 2:37:12 lr: 3.825626125291679e-05 loss: 0.0975 (0.1069) loss_seg: 0.1062 (0.1152) loss_lansim: 0.1128 (0.1200) loss_contra: 0.0002 (0.0108) time: 2.5308 data: 0.0026 max mem: 31671 Epoch: [10] [1550/5278] eta: 2:36:47 lr: 3.82540654005885e-05 loss: 0.0993 (0.1072) loss_seg: 0.1069 (0.1155) loss_lansim: 0.1128 (0.1200) loss_contra: 0.0002 (0.0107) time: 2.5356 data: 0.0026 max mem: 31671 Epoch: [10] [1560/5278] eta: 2:36:23 lr: 3.8251869534255014e-05 loss: 0.0958 (0.1072) loss_seg: 0.1050 (0.1155) loss_lansim: 0.1118 (0.1199) loss_contra: 0.0002 (0.0107) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [10] [1570/5278] eta: 2:35:58 lr: 3.824967365391536e-05 loss: 0.0958 (0.1073) loss_seg: 0.1050 (0.1156) loss_lansim: 0.1102 (0.1198) loss_contra: 0.0003 (0.0106) time: 2.5471 data: 0.0025 max mem: 31671 Epoch: [10] [1580/5278] eta: 2:35:31 lr: 3.824747775956855e-05 loss: 0.0975 (0.1075) loss_seg: 0.1050 (0.1158) loss_lansim: 0.1102 (0.1198) loss_contra: 0.0004 (0.0109) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [10] [1590/5278] eta: 2:35:04 lr: 3.824528185121361e-05 loss: 0.1022 (0.1075) loss_seg: 0.1069 (0.1158) loss_lansim: 0.1102 (0.1198) loss_contra: 0.0005 (0.0109) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [10] [1600/5278] eta: 2:34:39 lr: 3.8243085928849546e-05 loss: 0.1079 (0.1075) loss_seg: 0.1143 (0.1158) loss_lansim: 0.1102 (0.1198) loss_contra: 0.0004 (0.0108) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [10] [1610/5278] eta: 2:34:14 lr: 3.824088999247539e-05 loss: 0.1081 (0.1074) loss_seg: 0.1144 (0.1157) loss_lansim: 0.1118 (0.1198) loss_contra: 0.0006 (0.0108) time: 2.5317 data: 0.0024 max mem: 31671 Epoch: [10] [1620/5278] eta: 2:33:49 lr: 3.823869404209013e-05 loss: 0.1088 (0.1074) loss_seg: 0.1144 (0.1157) loss_lansim: 0.1100 (0.1197) loss_contra: 0.0004 (0.0108) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [10] [1630/5278] eta: 2:33:26 lr: 3.8236498077692816e-05 loss: 0.1030 (0.1076) loss_seg: 0.1081 (0.1159) loss_lansim: 0.1116 (0.1197) loss_contra: 0.0004 (0.0107) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [10] [1640/5278] eta: 2:33:00 lr: 3.8234302099282446e-05 loss: 0.0991 (0.1074) loss_seg: 0.1064 (0.1157) loss_lansim: 0.1124 (0.1197) loss_contra: 0.0004 (0.0106) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [10] [1650/5278] eta: 2:32:35 lr: 3.823210610685804e-05 loss: 0.1013 (0.1077) loss_seg: 0.1081 (0.1160) loss_lansim: 0.1124 (0.1197) loss_contra: 0.0006 (0.0106) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [10] [1660/5278] eta: 2:32:11 lr: 3.822991010041862e-05 loss: 0.0991 (0.1077) loss_seg: 0.1064 (0.1160) loss_lansim: 0.1131 (0.1196) loss_contra: 0.0006 (0.0108) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [10] [1670/5278] eta: 2:31:46 lr: 3.822771407996319e-05 loss: 0.0991 (0.1081) loss_seg: 0.1064 (0.1164) loss_lansim: 0.1124 (0.1195) loss_contra: 0.0004 (0.0108) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [10] [1680/5278] eta: 2:31:24 lr: 3.822551804549077e-05 loss: 0.0946 (0.1080) loss_seg: 0.1021 (0.1164) loss_lansim: 0.1116 (0.1195) loss_contra: 0.0004 (0.0108) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [10] [1690/5278] eta: 2:31:01 lr: 3.822332199700038e-05 loss: 0.0838 (0.1078) loss_seg: 0.0904 (0.1162) loss_lansim: 0.1097 (0.1194) loss_contra: 0.0004 (0.0113) time: 2.5663 data: 0.0025 max mem: 31671 Epoch: [10] [1700/5278] eta: 2:30:36 lr: 3.822112593449103e-05 loss: 0.0830 (0.1077) loss_seg: 0.0893 (0.1160) loss_lansim: 0.1094 (0.1193) loss_contra: 0.0006 (0.0113) time: 2.5633 data: 0.0025 max mem: 31671 Epoch: [10] [1710/5278] eta: 2:30:12 lr: 3.8218929857961746e-05 loss: 0.0832 (0.1076) loss_seg: 0.0896 (0.1160) loss_lansim: 0.1079 (0.1192) loss_contra: 0.0006 (0.0113) time: 2.5713 data: 0.0025 max mem: 31671 Epoch: [10] [1720/5278] eta: 2:29:47 lr: 3.821673376741154e-05 loss: 0.0809 (0.1076) loss_seg: 0.0861 (0.1159) loss_lansim: 0.1077 (0.1191) loss_contra: 0.0009 (0.0113) time: 2.5745 data: 0.0025 max mem: 31671 Epoch: [10] [1730/5278] eta: 2:29:21 lr: 3.821453766283941e-05 loss: 0.0806 (0.1077) loss_seg: 0.0851 (0.1160) loss_lansim: 0.1077 (0.1191) loss_contra: 0.0010 (0.0112) time: 2.5636 data: 0.0025 max mem: 31671 Epoch: [10] [1740/5278] eta: 2:28:56 lr: 3.8212341544244404e-05 loss: 0.0832 (0.1076) loss_seg: 0.0852 (0.1159) loss_lansim: 0.1050 (0.1190) loss_contra: 0.0010 (0.0112) time: 2.5644 data: 0.0025 max mem: 31671 Epoch: [10] [1750/5278] eta: 2:28:32 lr: 3.82101454116255e-05 loss: 0.0809 (0.1074) loss_seg: 0.0843 (0.1157) loss_lansim: 0.1047 (0.1189) loss_contra: 0.0010 (0.0111) time: 2.5718 data: 0.0025 max mem: 31671 Epoch: [10] [1760/5278] eta: 2:28:08 lr: 3.820794926498174e-05 loss: 0.0825 (0.1076) loss_seg: 0.0866 (0.1159) loss_lansim: 0.1047 (0.1189) loss_contra: 0.0010 (0.0112) time: 2.5681 data: 0.0025 max mem: 31671 Epoch: [10] [1770/5278] eta: 2:27:43 lr: 3.8205753104312125e-05 loss: 0.0809 (0.1075) loss_seg: 0.0852 (0.1157) loss_lansim: 0.1062 (0.1189) loss_contra: 0.0008 (0.0111) time: 2.5690 data: 0.0025 max mem: 31671 Epoch: [10] [1780/5278] eta: 2:27:17 lr: 3.820355692961567e-05 loss: 0.0824 (0.1074) loss_seg: 0.0896 (0.1157) loss_lansim: 0.1079 (0.1188) loss_contra: 0.0008 (0.0111) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [10] [1790/5278] eta: 2:26:53 lr: 3.8201360740891405e-05 loss: 0.0851 (0.1075) loss_seg: 0.0916 (0.1158) loss_lansim: 0.1081 (0.1188) loss_contra: 0.0007 (0.0111) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [10] [1800/5278] eta: 2:26:28 lr: 3.819916453813833e-05 loss: 0.0857 (0.1074) loss_seg: 0.0913 (0.1157) loss_lansim: 0.1086 (0.1188) loss_contra: 0.0007 (0.0111) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [10] [1810/5278] eta: 2:26:03 lr: 3.819696832135545e-05 loss: 0.0882 (0.1076) loss_seg: 0.0919 (0.1159) loss_lansim: 0.1091 (0.1188) loss_contra: 0.0006 (0.0111) time: 2.5471 data: 0.0025 max mem: 31671 Epoch: [10] [1820/5278] eta: 2:25:38 lr: 3.819477209054181e-05 loss: 0.0859 (0.1075) loss_seg: 0.0919 (0.1158) loss_lansim: 0.1101 (0.1187) loss_contra: 0.0005 (0.0111) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [10] [1830/5278] eta: 2:25:12 lr: 3.8192575845696386e-05 loss: 0.0859 (0.1075) loss_seg: 0.0919 (0.1158) loss_lansim: 0.1110 (0.1187) loss_contra: 0.0005 (0.0110) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [10] [1840/5278] eta: 2:24:47 lr: 3.819037958681823e-05 loss: 0.0882 (0.1075) loss_seg: 0.0921 (0.1158) loss_lansim: 0.1111 (0.1186) loss_contra: 0.0004 (0.0110) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [10] [1850/5278] eta: 2:24:22 lr: 3.818818331390632e-05 loss: 0.0928 (0.1075) loss_seg: 0.0939 (0.1158) loss_lansim: 0.1114 (0.1186) loss_contra: 0.0003 (0.0110) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [10] [1860/5278] eta: 2:23:57 lr: 3.818598702695969e-05 loss: 0.0932 (0.1076) loss_seg: 0.0943 (0.1160) loss_lansim: 0.1122 (0.1185) loss_contra: 0.0003 (0.0109) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [10] [1870/5278] eta: 2:23:30 lr: 3.8183790725977354e-05 loss: 0.0932 (0.1075) loss_seg: 0.0973 (0.1158) loss_lansim: 0.1114 (0.1185) loss_contra: 0.0003 (0.0109) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [10] [1880/5278] eta: 2:23:05 lr: 3.818159441095832e-05 loss: 0.0924 (0.1075) loss_seg: 0.0973 (0.1158) loss_lansim: 0.1103 (0.1184) loss_contra: 0.0003 (0.0109) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [10] [1890/5278] eta: 2:22:39 lr: 3.81793980819016e-05 loss: 0.0924 (0.1074) loss_seg: 0.0988 (0.1157) loss_lansim: 0.1101 (0.1183) loss_contra: 0.0002 (0.0108) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [10] [1900/5278] eta: 2:22:13 lr: 3.817720173880621e-05 loss: 0.0933 (0.1073) loss_seg: 0.0989 (0.1157) loss_lansim: 0.1090 (0.1183) loss_contra: 0.0002 (0.0108) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [10] [1910/5278] eta: 2:21:50 lr: 3.8175005381671155e-05 loss: 0.0895 (0.1073) loss_seg: 0.0988 (0.1156) loss_lansim: 0.1090 (0.1182) loss_contra: 0.0001 (0.0107) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [10] [1920/5278] eta: 2:21:26 lr: 3.817280901049546e-05 loss: 0.0937 (0.1073) loss_seg: 0.1035 (0.1156) loss_lansim: 0.1090 (0.1182) loss_contra: 0.0001 (0.0107) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [10] [1930/5278] eta: 2:21:01 lr: 3.817061262527813e-05 loss: 0.0957 (0.1073) loss_seg: 0.1039 (0.1157) loss_lansim: 0.1084 (0.1182) loss_contra: 0.0002 (0.0107) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [10] [1940/5278] eta: 2:20:35 lr: 3.816841622601818e-05 loss: 0.0963 (0.1074) loss_seg: 0.1058 (0.1157) loss_lansim: 0.1090 (0.1182) loss_contra: 0.0001 (0.0107) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [10] [1950/5278] eta: 2:20:09 lr: 3.816621981271463e-05 loss: 0.0957 (0.1073) loss_seg: 0.1047 (0.1156) loss_lansim: 0.1090 (0.1182) loss_contra: 0.0002 (0.0106) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [10] [1960/5278] eta: 2:19:44 lr: 3.816402338536647e-05 loss: 0.0950 (0.1073) loss_seg: 0.1027 (0.1156) loss_lansim: 0.1094 (0.1181) loss_contra: 0.0003 (0.0107) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [10] [1970/5278] eta: 2:19:20 lr: 3.816182694397273e-05 loss: 0.0996 (0.1073) loss_seg: 0.1078 (0.1156) loss_lansim: 0.1094 (0.1181) loss_contra: 0.0003 (0.0107) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [10] [1980/5278] eta: 2:18:53 lr: 3.815963048853243e-05 loss: 0.1000 (0.1076) loss_seg: 0.1104 (0.1159) loss_lansim: 0.1096 (0.1180) loss_contra: 0.0003 (0.0106) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [10] [1990/5278] eta: 2:18:28 lr: 3.8157434019044555e-05 loss: 0.1010 (0.1076) loss_seg: 0.1114 (0.1159) loss_lansim: 0.1101 (0.1180) loss_contra: 0.0003 (0.0106) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [10] [2000/5278] eta: 2:18:02 lr: 3.8155237535508146e-05 loss: 0.1011 (0.1077) loss_seg: 0.1119 (0.1160) loss_lansim: 0.1112 (0.1180) loss_contra: 0.0004 (0.0105) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [10] [2010/5278] eta: 2:17:36 lr: 3.8153041037922184e-05 loss: 0.1031 (0.1077) loss_seg: 0.1119 (0.1160) loss_lansim: 0.1113 (0.1180) loss_contra: 0.0004 (0.0105) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [10] [2020/5278] eta: 2:17:10 lr: 3.81508445262857e-05 loss: 0.1031 (0.1076) loss_seg: 0.1119 (0.1159) loss_lansim: 0.1113 (0.1180) loss_contra: 0.0003 (0.0105) time: 2.5087 data: 0.0025 max mem: 31671 Epoch: [10] [2030/5278] eta: 2:16:44 lr: 3.8148648000597714e-05 loss: 0.1011 (0.1076) loss_seg: 0.1114 (0.1159) loss_lansim: 0.1129 (0.1180) loss_contra: 0.0003 (0.0104) time: 2.5032 data: 0.0025 max mem: 31671 Epoch: [10] [2040/5278] eta: 2:16:21 lr: 3.814645146085721e-05 loss: 0.1010 (0.1076) loss_seg: 0.1107 (0.1159) loss_lansim: 0.1129 (0.1180) loss_contra: 0.0003 (0.0104) time: 2.5210 data: 0.0025 max mem: 31671 Epoch: [10] [2050/5278] eta: 2:15:56 lr: 3.8144254907063223e-05 loss: 0.1010 (0.1075) loss_seg: 0.1107 (0.1158) loss_lansim: 0.1114 (0.1179) loss_contra: 0.0002 (0.0103) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [10] [2060/5278] eta: 2:15:32 lr: 3.814205833921475e-05 loss: 0.1041 (0.1077) loss_seg: 0.1114 (0.1160) loss_lansim: 0.1129 (0.1179) loss_contra: 0.0002 (0.0103) time: 2.5284 data: 0.0026 max mem: 31671 Epoch: [10] [2070/5278] eta: 2:15:05 lr: 3.813986175731081e-05 loss: 0.1005 (0.1077) loss_seg: 0.1107 (0.1160) loss_lansim: 0.1163 (0.1180) loss_contra: 0.0002 (0.0103) time: 2.5175 data: 0.0026 max mem: 31671 Epoch: [10] [2080/5278] eta: 2:14:40 lr: 3.813766516135041e-05 loss: 0.1020 (0.1078) loss_seg: 0.1107 (0.1161) loss_lansim: 0.1162 (0.1179) loss_contra: 0.0002 (0.0102) time: 2.5238 data: 0.0026 max mem: 31671 Epoch: [10] [2090/5278] eta: 2:14:14 lr: 3.813546855133255e-05 loss: 0.1001 (0.1077) loss_seg: 0.1098 (0.1160) loss_lansim: 0.1151 (0.1179) loss_contra: 0.0002 (0.0102) time: 2.5159 data: 0.0026 max mem: 31671 Epoch: [10] [2100/5278] eta: 2:13:49 lr: 3.813327192725626e-05 loss: 0.0972 (0.1077) loss_seg: 0.1076 (0.1160) loss_lansim: 0.1153 (0.1180) loss_contra: 0.0002 (0.0102) time: 2.5239 data: 0.0026 max mem: 31671 Epoch: [10] [2110/5278] eta: 2:13:25 lr: 3.813107528912055e-05 loss: 0.0972 (0.1077) loss_seg: 0.1076 (0.1160) loss_lansim: 0.1159 (0.1179) loss_contra: 0.0002 (0.0102) time: 2.5359 data: 0.0026 max mem: 31671 Epoch: [10] [2120/5278] eta: 2:13:00 lr: 3.8128878636924405e-05 loss: 0.0944 (0.1076) loss_seg: 0.1046 (0.1159) loss_lansim: 0.1159 (0.1179) loss_contra: 0.0001 (0.0102) time: 2.5461 data: 0.0026 max mem: 31671 Epoch: [10] [2130/5278] eta: 2:12:35 lr: 3.812668197066686e-05 loss: 0.0939 (0.1077) loss_seg: 0.1012 (0.1159) loss_lansim: 0.1162 (0.1180) loss_contra: 0.0001 (0.0102) time: 2.5457 data: 0.0026 max mem: 31671 Epoch: [10] [2140/5278] eta: 2:12:10 lr: 3.812448529034691e-05 loss: 0.0951 (0.1076) loss_seg: 0.1048 (0.1159) loss_lansim: 0.1163 (0.1180) loss_contra: 0.0001 (0.0102) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [10] [2150/5278] eta: 2:11:44 lr: 3.812228859596358e-05 loss: 0.0948 (0.1076) loss_seg: 0.1025 (0.1159) loss_lansim: 0.1165 (0.1180) loss_contra: 0.0001 (0.0101) time: 2.5339 data: 0.0026 max mem: 31671 Epoch: [10] [2160/5278] eta: 2:11:19 lr: 3.812009188751587e-05 loss: 0.0946 (0.1076) loss_seg: 0.1012 (0.1158) loss_lansim: 0.1158 (0.1180) loss_contra: 0.0002 (0.0101) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [10] [2170/5278] eta: 2:10:55 lr: 3.811789516500278e-05 loss: 0.0951 (0.1076) loss_seg: 0.1025 (0.1159) loss_lansim: 0.1149 (0.1179) loss_contra: 0.0002 (0.0101) time: 2.5443 data: 0.0026 max mem: 31671 Epoch: [10] [2180/5278] eta: 2:10:30 lr: 3.811569842842333e-05 loss: 0.0909 (0.1075) loss_seg: 0.0935 (0.1158) loss_lansim: 0.1141 (0.1179) loss_contra: 0.0002 (0.0101) time: 2.5454 data: 0.0026 max mem: 31671 Epoch: [10] [2190/5278] eta: 2:10:04 lr: 3.8113501677776536e-05 loss: 0.0909 (0.1074) loss_seg: 0.0967 (0.1157) loss_lansim: 0.1150 (0.1179) loss_contra: 0.0002 (0.0101) time: 2.5478 data: 0.0026 max mem: 31671 Epoch: [10] [2200/5278] eta: 2:09:40 lr: 3.811130491306139e-05 loss: 0.0946 (0.1075) loss_seg: 0.1003 (0.1158) loss_lansim: 0.1149 (0.1179) loss_contra: 0.0003 (0.0103) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [10] [2210/5278] eta: 2:09:15 lr: 3.8109108134276914e-05 loss: 0.0946 (0.1075) loss_seg: 0.1003 (0.1158) loss_lansim: 0.1141 (0.1179) loss_contra: 0.0005 (0.0103) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [10] [2220/5278] eta: 2:08:48 lr: 3.810691134142211e-05 loss: 0.0954 (0.1077) loss_seg: 0.1047 (0.1160) loss_lansim: 0.1132 (0.1178) loss_contra: 0.0005 (0.0105) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [10] [2230/5278] eta: 2:08:23 lr: 3.8104714534496e-05 loss: 0.0954 (0.1077) loss_seg: 0.1047 (0.1160) loss_lansim: 0.1132 (0.1179) loss_contra: 0.0006 (0.0105) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [10] [2240/5278] eta: 2:07:57 lr: 3.8102517713497576e-05 loss: 0.0949 (0.1078) loss_seg: 0.1025 (0.1161) loss_lansim: 0.1126 (0.1179) loss_contra: 0.0007 (0.0105) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [10] [2250/5278] eta: 2:07:31 lr: 3.8100320878425845e-05 loss: 0.0949 (0.1077) loss_seg: 0.1034 (0.1161) loss_lansim: 0.1119 (0.1178) loss_contra: 0.0006 (0.0105) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [10] [2260/5278] eta: 2:07:06 lr: 3.809812402927983e-05 loss: 0.0936 (0.1077) loss_seg: 0.0997 (0.1160) loss_lansim: 0.1126 (0.1178) loss_contra: 0.0005 (0.0104) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [10] [2270/5278] eta: 2:06:41 lr: 3.809592716605853e-05 loss: 0.0907 (0.1078) loss_seg: 0.0967 (0.1161) loss_lansim: 0.1126 (0.1178) loss_contra: 0.0005 (0.0104) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [10] [2280/5278] eta: 2:06:16 lr: 3.809373028876095e-05 loss: 0.0936 (0.1078) loss_seg: 0.0997 (0.1161) loss_lansim: 0.1138 (0.1178) loss_contra: 0.0004 (0.0105) time: 2.5199 data: 0.0024 max mem: 31671 Epoch: [10] [2290/5278] eta: 2:05:51 lr: 3.809153339738611e-05 loss: 0.0985 (0.1080) loss_seg: 0.1092 (0.1163) loss_lansim: 0.1138 (0.1178) loss_contra: 0.0004 (0.0105) time: 2.5214 data: 0.0024 max mem: 31671 Epoch: [10] [2300/5278] eta: 2:05:26 lr: 3.8089336491933005e-05 loss: 0.0985 (0.1080) loss_seg: 0.1092 (0.1163) loss_lansim: 0.1138 (0.1178) loss_contra: 0.0004 (0.0106) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [10] [2310/5278] eta: 2:05:00 lr: 3.8087139572400644e-05 loss: 0.0985 (0.1082) loss_seg: 0.1092 (0.1165) loss_lansim: 0.1143 (0.1178) loss_contra: 0.0003 (0.0106) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [10] [2320/5278] eta: 2:04:35 lr: 3.808494263878805e-05 loss: 0.0939 (0.1081) loss_seg: 0.1017 (0.1164) loss_lansim: 0.1143 (0.1177) loss_contra: 0.0003 (0.0106) time: 2.5215 data: 0.0025 max mem: 31671 Epoch: [10] [2330/5278] eta: 2:04:11 lr: 3.80827456910942e-05 loss: 0.0936 (0.1081) loss_seg: 0.1017 (0.1164) loss_lansim: 0.1142 (0.1177) loss_contra: 0.0003 (0.0106) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [10] [2340/5278] eta: 2:03:45 lr: 3.8080548729318136e-05 loss: 0.0939 (0.1081) loss_seg: 0.1019 (0.1164) loss_lansim: 0.1148 (0.1177) loss_contra: 0.0003 (0.0106) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [10] [2350/5278] eta: 2:03:20 lr: 3.8078351753458836e-05 loss: 0.0968 (0.1083) loss_seg: 0.1025 (0.1166) loss_lansim: 0.1153 (0.1177) loss_contra: 0.0003 (0.0105) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [10] [2360/5278] eta: 2:02:55 lr: 3.807615476351532e-05 loss: 0.0977 (0.1084) loss_seg: 0.1035 (0.1167) loss_lansim: 0.1148 (0.1177) loss_contra: 0.0003 (0.0105) time: 2.5454 data: 0.0025 max mem: 31671 Epoch: [10] [2370/5278] eta: 2:02:31 lr: 3.807395775948661e-05 loss: 0.1000 (0.1084) loss_seg: 0.1079 (0.1167) loss_lansim: 0.1142 (0.1176) loss_contra: 0.0004 (0.0105) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [10] [2380/5278] eta: 2:02:05 lr: 3.807176074137168e-05 loss: 0.0973 (0.1084) loss_seg: 0.1025 (0.1167) loss_lansim: 0.1125 (0.1176) loss_contra: 0.0005 (0.0105) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [10] [2390/5278] eta: 2:01:40 lr: 3.806956370916956e-05 loss: 0.0932 (0.1083) loss_seg: 0.0986 (0.1166) loss_lansim: 0.1102 (0.1175) loss_contra: 0.0005 (0.0105) time: 2.5465 data: 0.0026 max mem: 31671 Epoch: [10] [2400/5278] eta: 2:01:16 lr: 3.806736666287925e-05 loss: 0.0916 (0.1082) loss_seg: 0.0956 (0.1165) loss_lansim: 0.1102 (0.1175) loss_contra: 0.0003 (0.0105) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [10] [2410/5278] eta: 2:00:51 lr: 3.8065169602499744e-05 loss: 0.0891 (0.1081) loss_seg: 0.0956 (0.1164) loss_lansim: 0.1092 (0.1175) loss_contra: 0.0003 (0.0104) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [10] [2420/5278] eta: 2:00:25 lr: 3.8062972528030075e-05 loss: 0.0930 (0.1082) loss_seg: 0.0960 (0.1165) loss_lansim: 0.1097 (0.1175) loss_contra: 0.0002 (0.0104) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [10] [2430/5278] eta: 2:00:00 lr: 3.8060775439469226e-05 loss: 0.0947 (0.1082) loss_seg: 0.0986 (0.1165) loss_lansim: 0.1102 (0.1174) loss_contra: 0.0002 (0.0104) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [10] [2440/5278] eta: 1:59:35 lr: 3.805857833681621e-05 loss: 0.0947 (0.1082) loss_seg: 0.0986 (0.1165) loss_lansim: 0.1092 (0.1174) loss_contra: 0.0001 (0.0104) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [10] [2450/5278] eta: 1:59:10 lr: 3.8056381220070034e-05 loss: 0.0947 (0.1082) loss_seg: 0.1032 (0.1165) loss_lansim: 0.1073 (0.1173) loss_contra: 0.0002 (0.0103) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [10] [2460/5278] eta: 1:58:44 lr: 3.80541840892297e-05 loss: 0.0947 (0.1082) loss_seg: 0.1038 (0.1165) loss_lansim: 0.1065 (0.1173) loss_contra: 0.0002 (0.0103) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [10] [2470/5278] eta: 1:58:20 lr: 3.805198694429422e-05 loss: 0.0937 (0.1082) loss_seg: 0.1032 (0.1165) loss_lansim: 0.1065 (0.1172) loss_contra: 0.0001 (0.0102) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [10] [2480/5278] eta: 1:57:54 lr: 3.8049789785262595e-05 loss: 0.0930 (0.1080) loss_seg: 0.0986 (0.1163) loss_lansim: 0.1065 (0.1172) loss_contra: 0.0001 (0.0102) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [10] [2490/5278] eta: 1:57:30 lr: 3.8047592612133834e-05 loss: 0.0930 (0.1079) loss_seg: 0.0981 (0.1162) loss_lansim: 0.1066 (0.1171) loss_contra: 0.0002 (0.0103) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [10] [2500/5278] eta: 1:57:04 lr: 3.8045395424906935e-05 loss: 0.0930 (0.1079) loss_seg: 0.0981 (0.1162) loss_lansim: 0.1038 (0.1171) loss_contra: 0.0002 (0.0103) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [10] [2510/5278] eta: 1:56:40 lr: 3.80431982235809e-05 loss: 0.0904 (0.1079) loss_seg: 0.0977 (0.1162) loss_lansim: 0.1038 (0.1170) loss_contra: 0.0002 (0.0103) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [10] [2520/5278] eta: 1:56:14 lr: 3.8041001008154745e-05 loss: 0.0892 (0.1079) loss_seg: 0.0981 (0.1162) loss_lansim: 0.1038 (0.1170) loss_contra: 0.0002 (0.0103) time: 2.5474 data: 0.0025 max mem: 31671 Epoch: [10] [2530/5278] eta: 1:55:49 lr: 3.8038803778627475e-05 loss: 0.0879 (0.1079) loss_seg: 0.0928 (0.1162) loss_lansim: 0.1060 (0.1170) loss_contra: 0.0002 (0.0103) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [10] [2540/5278] eta: 1:55:24 lr: 3.8036606534998075e-05 loss: 0.0851 (0.1079) loss_seg: 0.0916 (0.1162) loss_lansim: 0.1060 (0.1169) loss_contra: 0.0002 (0.0103) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [10] [2550/5278] eta: 1:54:58 lr: 3.803440927726558e-05 loss: 0.0816 (0.1080) loss_seg: 0.0899 (0.1162) loss_lansim: 0.1067 (0.1169) loss_contra: 0.0002 (0.0104) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [10] [2560/5278] eta: 1:54:33 lr: 3.803221200542897e-05 loss: 0.0816 (0.1081) loss_seg: 0.0899 (0.1164) loss_lansim: 0.1074 (0.1169) loss_contra: 0.0002 (0.0103) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [10] [2570/5278] eta: 1:54:07 lr: 3.803001471948725e-05 loss: 0.0822 (0.1082) loss_seg: 0.0910 (0.1165) loss_lansim: 0.1085 (0.1169) loss_contra: 0.0001 (0.0103) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [10] [2580/5278] eta: 1:53:42 lr: 3.802781741943944e-05 loss: 0.0831 (0.1083) loss_seg: 0.0916 (0.1166) loss_lansim: 0.1092 (0.1169) loss_contra: 0.0001 (0.0103) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [10] [2590/5278] eta: 1:53:17 lr: 3.8025620105284534e-05 loss: 0.0904 (0.1084) loss_seg: 0.0949 (0.1167) loss_lansim: 0.1091 (0.1168) loss_contra: 0.0001 (0.0102) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [10] [2600/5278] eta: 1:52:52 lr: 3.802342277702153e-05 loss: 0.0846 (0.1083) loss_seg: 0.0928 (0.1166) loss_lansim: 0.1104 (0.1168) loss_contra: 0.0001 (0.0102) time: 2.5411 data: 0.0026 max mem: 31671 Epoch: [10] [2610/5278] eta: 1:52:28 lr: 3.802122543464945e-05 loss: 0.0927 (0.1082) loss_seg: 0.0949 (0.1165) loss_lansim: 0.1104 (0.1168) loss_contra: 0.0001 (0.0102) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [10] [2620/5278] eta: 1:52:03 lr: 3.801902807816727e-05 loss: 0.0904 (0.1082) loss_seg: 0.0936 (0.1164) loss_lansim: 0.1097 (0.1168) loss_contra: 0.0001 (0.0102) time: 2.5396 data: 0.0026 max mem: 31671 Epoch: [10] [2630/5278] eta: 1:51:38 lr: 3.8016830707574014e-05 loss: 0.0911 (0.1082) loss_seg: 0.1002 (0.1165) loss_lansim: 0.1091 (0.1167) loss_contra: 0.0001 (0.0103) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [10] [2640/5278] eta: 1:51:12 lr: 3.801463332286868e-05 loss: 0.0938 (0.1081) loss_seg: 0.1006 (0.1164) loss_lansim: 0.1080 (0.1167) loss_contra: 0.0001 (0.0103) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [10] [2650/5278] eta: 1:50:47 lr: 3.801243592405027e-05 loss: 0.0870 (0.1081) loss_seg: 0.0949 (0.1164) loss_lansim: 0.1080 (0.1166) loss_contra: 0.0001 (0.0102) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [10] [2660/5278] eta: 1:50:22 lr: 3.801023851111779e-05 loss: 0.0866 (0.1081) loss_seg: 0.0936 (0.1164) loss_lansim: 0.1077 (0.1166) loss_contra: 0.0002 (0.0104) time: 2.5487 data: 0.0025 max mem: 31671 Epoch: [10] [2670/5278] eta: 1:49:57 lr: 3.800804108407024e-05 loss: 0.0911 (0.1082) loss_seg: 0.0990 (0.1165) loss_lansim: 0.1059 (0.1165) loss_contra: 0.0003 (0.0104) time: 2.5496 data: 0.0025 max mem: 31671 Epoch: [10] [2680/5278] eta: 1:49:31 lr: 3.800584364290662e-05 loss: 0.0923 (0.1081) loss_seg: 0.1002 (0.1164) loss_lansim: 0.1054 (0.1164) loss_contra: 0.0002 (0.0105) time: 2.5485 data: 0.0025 max mem: 31671 Epoch: [10] [2690/5278] eta: 1:49:05 lr: 3.800364618762593e-05 loss: 0.0911 (0.1081) loss_seg: 0.0956 (0.1163) loss_lansim: 0.1033 (0.1164) loss_contra: 0.0003 (0.0107) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [10] [2700/5278] eta: 1:48:40 lr: 3.800144871822718e-05 loss: 0.0955 (0.1081) loss_seg: 0.1026 (0.1164) loss_lansim: 0.1022 (0.1163) loss_contra: 0.0005 (0.0108) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [10] [2710/5278] eta: 1:48:15 lr: 3.7999251234709374e-05 loss: 0.0916 (0.1080) loss_seg: 0.0956 (0.1163) loss_lansim: 0.1010 (0.1163) loss_contra: 0.0006 (0.0110) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [10] [2720/5278] eta: 1:47:50 lr: 3.799705373707151e-05 loss: 0.0916 (0.1080) loss_seg: 0.0905 (0.1163) loss_lansim: 0.1010 (0.1163) loss_contra: 0.0005 (0.0110) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [10] [2730/5278] eta: 1:47:24 lr: 3.7994856225312584e-05 loss: 0.0864 (0.1080) loss_seg: 0.0890 (0.1162) loss_lansim: 0.1003 (0.1162) loss_contra: 0.0005 (0.0110) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [10] [2740/5278] eta: 1:46:59 lr: 3.799265869943161e-05 loss: 0.0875 (0.1079) loss_seg: 0.0901 (0.1162) loss_lansim: 0.1018 (0.1162) loss_contra: 0.0005 (0.0110) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [10] [2750/5278] eta: 1:46:34 lr: 3.7990461159427574e-05 loss: 0.0916 (0.1078) loss_seg: 0.0905 (0.1161) loss_lansim: 0.1018 (0.1161) loss_contra: 0.0005 (0.0112) time: 2.5309 data: 0.0026 max mem: 31671 Epoch: [10] [2760/5278] eta: 1:46:08 lr: 3.79882636052995e-05 loss: 0.0842 (0.1079) loss_seg: 0.0901 (0.1162) loss_lansim: 0.1016 (0.1161) loss_contra: 0.0005 (0.0112) time: 2.5194 data: 0.0026 max mem: 31671 Epoch: [10] [2770/5278] eta: 1:45:43 lr: 3.798606603704636e-05 loss: 0.0815 (0.1078) loss_seg: 0.0878 (0.1161) loss_lansim: 0.1057 (0.1161) loss_contra: 0.0004 (0.0112) time: 2.5214 data: 0.0026 max mem: 31671 Epoch: [10] [2780/5278] eta: 1:45:19 lr: 3.7983868454667174e-05 loss: 0.0803 (0.1078) loss_seg: 0.0867 (0.1161) loss_lansim: 0.1057 (0.1161) loss_contra: 0.0006 (0.0112) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [10] [2790/5278] eta: 1:44:53 lr: 3.798167085816095e-05 loss: 0.0818 (0.1077) loss_seg: 0.0878 (0.1160) loss_lansim: 0.1062 (0.1160) loss_contra: 0.0003 (0.0112) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [10] [2800/5278] eta: 1:44:28 lr: 3.797947324752667e-05 loss: 0.0782 (0.1076) loss_seg: 0.0850 (0.1158) loss_lansim: 0.1057 (0.1160) loss_contra: 0.0002 (0.0112) time: 2.5378 data: 0.0026 max mem: 31671 Epoch: [10] [2810/5278] eta: 1:44:03 lr: 3.797727562276335e-05 loss: 0.0779 (0.1076) loss_seg: 0.0835 (0.1159) loss_lansim: 0.1054 (0.1160) loss_contra: 0.0002 (0.0112) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [10] [2820/5278] eta: 1:43:38 lr: 3.797507798386998e-05 loss: 0.0803 (0.1076) loss_seg: 0.0863 (0.1158) loss_lansim: 0.1054 (0.1160) loss_contra: 0.0002 (0.0111) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [10] [2830/5278] eta: 1:43:13 lr: 3.797288033084556e-05 loss: 0.0812 (0.1075) loss_seg: 0.0867 (0.1157) loss_lansim: 0.1054 (0.1159) loss_contra: 0.0002 (0.0111) time: 2.5455 data: 0.0025 max mem: 31671 Epoch: [10] [2840/5278] eta: 1:42:48 lr: 3.797068266368911e-05 loss: 0.0787 (0.1074) loss_seg: 0.0835 (0.1157) loss_lansim: 0.1040 (0.1159) loss_contra: 0.0002 (0.0111) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [10] [2850/5278] eta: 1:42:23 lr: 3.7968484982399604e-05 loss: 0.0830 (0.1074) loss_seg: 0.0918 (0.1157) loss_lansim: 0.1029 (0.1158) loss_contra: 0.0001 (0.0110) time: 2.5495 data: 0.0025 max mem: 31671 Epoch: [10] [2860/5278] eta: 1:41:57 lr: 3.796628728697606e-05 loss: 0.0826 (0.1074) loss_seg: 0.0908 (0.1157) loss_lansim: 0.1032 (0.1158) loss_contra: 0.0002 (0.0111) time: 2.5576 data: 0.0026 max mem: 31671 Epoch: [10] [2870/5278] eta: 1:41:32 lr: 3.796408957741747e-05 loss: 0.0853 (0.1075) loss_seg: 0.0944 (0.1158) loss_lansim: 0.1022 (0.1157) loss_contra: 0.0002 (0.0110) time: 2.5528 data: 0.0026 max mem: 31671 Epoch: [10] [2880/5278] eta: 1:41:06 lr: 3.796189185372284e-05 loss: 0.0865 (0.1075) loss_seg: 0.0948 (0.1158) loss_lansim: 0.1021 (0.1157) loss_contra: 0.0002 (0.0110) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [10] [2890/5278] eta: 1:40:41 lr: 3.795969411589116e-05 loss: 0.0870 (0.1076) loss_seg: 0.0959 (0.1159) loss_lansim: 0.1038 (0.1156) loss_contra: 0.0002 (0.0110) time: 2.5464 data: 0.0026 max mem: 31671 Epoch: [10] [2900/5278] eta: 1:40:16 lr: 3.7957496363921444e-05 loss: 0.0880 (0.1075) loss_seg: 0.0965 (0.1159) loss_lansim: 0.1029 (0.1156) loss_contra: 0.0002 (0.0110) time: 2.5444 data: 0.0026 max mem: 31671 Epoch: [10] [2910/5278] eta: 1:39:51 lr: 3.7955298597812666e-05 loss: 0.0892 (0.1075) loss_seg: 0.0976 (0.1159) loss_lansim: 0.1021 (0.1155) loss_contra: 0.0002 (0.0109) time: 2.5404 data: 0.0026 max mem: 31671 Epoch: [10] [2920/5278] eta: 1:39:26 lr: 3.795310081756386e-05 loss: 0.0934 (0.1075) loss_seg: 0.0988 (0.1158) loss_lansim: 0.1018 (0.1155) loss_contra: 0.0002 (0.0109) time: 2.5427 data: 0.0026 max mem: 31671 Epoch: [10] [2930/5278] eta: 1:39:00 lr: 3.795090302317399e-05 loss: 0.0934 (0.1074) loss_seg: 0.0989 (0.1157) loss_lansim: 0.1021 (0.1154) loss_contra: 0.0003 (0.0109) time: 2.5331 data: 0.0026 max mem: 31671 Epoch: [10] [2940/5278] eta: 1:38:35 lr: 3.794870521464209e-05 loss: 0.0977 (0.1075) loss_seg: 0.1045 (0.1158) loss_lansim: 0.1021 (0.1154) loss_contra: 0.0003 (0.0109) time: 2.5301 data: 0.0026 max mem: 31671 Epoch: [10] [2950/5278] eta: 1:38:10 lr: 3.794650739196713e-05 loss: 0.0954 (0.1075) loss_seg: 0.1045 (0.1159) loss_lansim: 0.1021 (0.1153) loss_contra: 0.0003 (0.0109) time: 2.5376 data: 0.0026 max mem: 31671 Epoch: [10] [2960/5278] eta: 1:37:44 lr: 3.7944309555148124e-05 loss: 0.0958 (0.1076) loss_seg: 0.1050 (0.1159) loss_lansim: 0.1013 (0.1153) loss_contra: 0.0003 (0.0109) time: 2.5297 data: 0.0026 max mem: 31671 Epoch: [10] [2970/5278] eta: 1:37:19 lr: 3.794211170418407e-05 loss: 0.0954 (0.1076) loss_seg: 0.1045 (0.1159) loss_lansim: 0.1003 (0.1152) loss_contra: 0.0004 (0.0109) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [10] [2980/5278] eta: 1:36:55 lr: 3.793991383907396e-05 loss: 0.0947 (0.1076) loss_seg: 0.0983 (0.1159) loss_lansim: 0.0973 (0.1151) loss_contra: 0.0004 (0.0109) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [10] [2990/5278] eta: 1:36:29 lr: 3.7937715959816796e-05 loss: 0.0914 (0.1077) loss_seg: 0.0976 (0.1160) loss_lansim: 0.0957 (0.1151) loss_contra: 0.0004 (0.0109) time: 2.5348 data: 0.0026 max mem: 31671 Epoch: [10] [3000/5278] eta: 1:36:04 lr: 3.7935518066411576e-05 loss: 0.0986 (0.1079) loss_seg: 0.1045 (0.1162) loss_lansim: 0.0950 (0.1150) loss_contra: 0.0004 (0.0109) time: 2.5356 data: 0.0026 max mem: 31671 Epoch: [10] [3010/5278] eta: 1:35:39 lr: 3.79333201588573e-05 loss: 0.0917 (0.1078) loss_seg: 0.0995 (0.1162) loss_lansim: 0.0939 (0.1149) loss_contra: 0.0003 (0.0108) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [10] [3020/5278] eta: 1:35:14 lr: 3.793112223715296e-05 loss: 0.0917 (0.1078) loss_seg: 0.0995 (0.1161) loss_lansim: 0.0917 (0.1148) loss_contra: 0.0003 (0.0108) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [10] [3030/5278] eta: 1:34:49 lr: 3.792892430129757e-05 loss: 0.0999 (0.1078) loss_seg: 0.1073 (0.1162) loss_lansim: 0.0901 (0.1147) loss_contra: 0.0003 (0.0109) time: 2.5505 data: 0.0026 max mem: 31671 Epoch: [10] [3040/5278] eta: 1:34:23 lr: 3.79267263512901e-05 loss: 0.1003 (0.1080) loss_seg: 0.1108 (0.1163) loss_lansim: 0.0904 (0.1147) loss_contra: 0.0003 (0.0109) time: 2.5455 data: 0.0026 max mem: 31671 Epoch: [10] [3050/5278] eta: 1:33:57 lr: 3.7924528387129574e-05 loss: 0.1003 (0.1079) loss_seg: 0.1108 (0.1163) loss_lansim: 0.0917 (0.1147) loss_contra: 0.0003 (0.0110) time: 2.5344 data: 0.0026 max mem: 31671 Epoch: [10] [3060/5278] eta: 1:33:33 lr: 3.792233040881497e-05 loss: 0.0999 (0.1079) loss_seg: 0.1097 (0.1163) loss_lansim: 0.0932 (0.1146) loss_contra: 0.0003 (0.0110) time: 2.5454 data: 0.0026 max mem: 31671 Epoch: [10] [3070/5278] eta: 1:33:06 lr: 3.79201324163453e-05 loss: 0.0989 (0.1079) loss_seg: 0.1073 (0.1163) loss_lansim: 0.0935 (0.1146) loss_contra: 0.0003 (0.0109) time: 2.5319 data: 0.0026 max mem: 31671 Epoch: [10] [3080/5278] eta: 1:32:41 lr: 3.791793440971956e-05 loss: 0.0989 (0.1079) loss_seg: 0.1073 (0.1163) loss_lansim: 0.0964 (0.1145) loss_contra: 0.0003 (0.0111) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [10] [3090/5278] eta: 1:32:17 lr: 3.791573638893673e-05 loss: 0.0965 (0.1079) loss_seg: 0.1071 (0.1163) loss_lansim: 0.0967 (0.1145) loss_contra: 0.0003 (0.0111) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [10] [3100/5278] eta: 1:31:51 lr: 3.791353835399583e-05 loss: 0.0911 (0.1079) loss_seg: 0.1010 (0.1162) loss_lansim: 0.0974 (0.1144) loss_contra: 0.0003 (0.0111) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [10] [3110/5278] eta: 1:31:26 lr: 3.7911340304895845e-05 loss: 0.0947 (0.1078) loss_seg: 0.1051 (0.1162) loss_lansim: 0.1000 (0.1144) loss_contra: 0.0003 (0.0111) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [10] [3120/5278] eta: 1:31:01 lr: 3.7909142241635766e-05 loss: 0.0957 (0.1078) loss_seg: 0.1062 (0.1162) loss_lansim: 0.1007 (0.1144) loss_contra: 0.0003 (0.0113) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [10] [3130/5278] eta: 1:30:36 lr: 3.7906944164214604e-05 loss: 0.0947 (0.1079) loss_seg: 0.1051 (0.1162) loss_lansim: 0.1008 (0.1143) loss_contra: 0.0003 (0.0113) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [10] [3140/5278] eta: 1:30:10 lr: 3.790474607263134e-05 loss: 0.0905 (0.1078) loss_seg: 0.0996 (0.1162) loss_lansim: 0.1009 (0.1143) loss_contra: 0.0003 (0.0113) time: 2.5291 data: 0.0025 max mem: 31671 Epoch: [10] [3150/5278] eta: 1:29:45 lr: 3.7902547966884986e-05 loss: 0.0905 (0.1078) loss_seg: 0.0996 (0.1162) loss_lansim: 0.1005 (0.1142) loss_contra: 0.0003 (0.0112) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [10] [3160/5278] eta: 1:29:19 lr: 3.790034984697453e-05 loss: 0.0905 (0.1078) loss_seg: 0.1007 (0.1162) loss_lansim: 0.0994 (0.1142) loss_contra: 0.0003 (0.0112) time: 2.5270 data: 0.0024 max mem: 31671 Epoch: [10] [3170/5278] eta: 1:28:54 lr: 3.789815171289896e-05 loss: 0.0918 (0.1078) loss_seg: 0.1016 (0.1162) loss_lansim: 0.0992 (0.1141) loss_contra: 0.0003 (0.0112) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [10] [3180/5278] eta: 1:28:29 lr: 3.7895953564657285e-05 loss: 0.0947 (0.1080) loss_seg: 0.1051 (0.1165) loss_lansim: 0.0992 (0.1141) loss_contra: 0.0003 (0.0112) time: 2.5398 data: 0.0024 max mem: 31671 Epoch: [10] [3190/5278] eta: 1:28:03 lr: 3.7893755402248496e-05 loss: 0.0939 (0.1080) loss_seg: 0.1016 (0.1164) loss_lansim: 0.0995 (0.1141) loss_contra: 0.0003 (0.0112) time: 2.5224 data: 0.0024 max mem: 31671 Epoch: [10] [3200/5278] eta: 1:27:38 lr: 3.7891557225671584e-05 loss: 0.0955 (0.1080) loss_seg: 0.1056 (0.1164) loss_lansim: 0.0994 (0.1140) loss_contra: 0.0002 (0.0111) time: 2.5288 data: 0.0024 max mem: 31671 Epoch: [10] [3210/5278] eta: 1:27:12 lr: 3.788935903492555e-05 loss: 0.0951 (0.1080) loss_seg: 0.1040 (0.1163) loss_lansim: 0.0992 (0.1140) loss_contra: 0.0003 (0.0111) time: 2.5190 data: 0.0024 max mem: 31671 Epoch: [10] [3220/5278] eta: 1:26:47 lr: 3.788716083000939e-05 loss: 0.0913 (0.1079) loss_seg: 0.1007 (0.1163) loss_lansim: 0.0992 (0.1139) loss_contra: 0.0003 (0.0111) time: 2.5147 data: 0.0024 max mem: 31671 Epoch: [10] [3230/5278] eta: 1:26:22 lr: 3.788496261092209e-05 loss: 0.0939 (0.1080) loss_seg: 0.1016 (0.1164) loss_lansim: 0.0987 (0.1139) loss_contra: 0.0003 (0.0111) time: 2.5246 data: 0.0025 max mem: 31671 Epoch: [10] [3240/5278] eta: 1:25:57 lr: 3.788276437766267e-05 loss: 0.0939 (0.1079) loss_seg: 0.1010 (0.1163) loss_lansim: 0.0976 (0.1139) loss_contra: 0.0003 (0.0111) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [10] [3250/5278] eta: 1:25:32 lr: 3.788056613023008e-05 loss: 0.0947 (0.1080) loss_seg: 0.1030 (0.1164) loss_lansim: 0.0976 (0.1138) loss_contra: 0.0003 (0.0111) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [10] [3260/5278] eta: 1:25:06 lr: 3.787836786862336e-05 loss: 0.0918 (0.1079) loss_seg: 0.0966 (0.1163) loss_lansim: 0.0984 (0.1137) loss_contra: 0.0002 (0.0110) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [10] [3270/5278] eta: 1:24:40 lr: 3.787616959284148e-05 loss: 0.0913 (0.1079) loss_seg: 0.0966 (0.1163) loss_lansim: 0.0987 (0.1137) loss_contra: 0.0002 (0.0110) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [10] [3280/5278] eta: 1:24:16 lr: 3.787397130288344e-05 loss: 0.0853 (0.1079) loss_seg: 0.0929 (0.1163) loss_lansim: 0.0997 (0.1137) loss_contra: 0.0002 (0.0110) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [10] [3290/5278] eta: 1:23:50 lr: 3.7871772998748246e-05 loss: 0.0853 (0.1079) loss_seg: 0.0938 (0.1163) loss_lansim: 0.0994 (0.1136) loss_contra: 0.0001 (0.0110) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [10] [3300/5278] eta: 1:23:26 lr: 3.7869574680434865e-05 loss: 0.0833 (0.1078) loss_seg: 0.0925 (0.1162) loss_lansim: 0.0995 (0.1136) loss_contra: 0.0002 (0.0109) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [10] [3310/5278] eta: 1:23:00 lr: 3.7867376347942314e-05 loss: 0.0853 (0.1079) loss_seg: 0.0945 (0.1163) loss_lansim: 0.0997 (0.1135) loss_contra: 0.0001 (0.0109) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [10] [3320/5278] eta: 1:22:34 lr: 3.7865178001269585e-05 loss: 0.0928 (0.1079) loss_seg: 0.1002 (0.1164) loss_lansim: 0.0997 (0.1135) loss_contra: 0.0002 (0.0110) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [10] [3330/5278] eta: 1:22:09 lr: 3.786297964041566e-05 loss: 0.0929 (0.1080) loss_seg: 0.1030 (0.1164) loss_lansim: 0.1004 (0.1135) loss_contra: 0.0002 (0.0110) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [10] [3340/5278] eta: 1:21:44 lr: 3.786078126537954e-05 loss: 0.0929 (0.1080) loss_seg: 0.1030 (0.1164) loss_lansim: 0.1031 (0.1135) loss_contra: 0.0002 (0.0109) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [10] [3350/5278] eta: 1:21:18 lr: 3.785858287616022e-05 loss: 0.0917 (0.1080) loss_seg: 0.1016 (0.1164) loss_lansim: 0.1040 (0.1135) loss_contra: 0.0002 (0.0110) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [10] [3360/5278] eta: 1:20:54 lr: 3.785638447275669e-05 loss: 0.0954 (0.1080) loss_seg: 0.1060 (0.1164) loss_lansim: 0.1036 (0.1134) loss_contra: 0.0002 (0.0110) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [10] [3370/5278] eta: 1:20:28 lr: 3.785418605516795e-05 loss: 0.0992 (0.1080) loss_seg: 0.1061 (0.1165) loss_lansim: 0.1041 (0.1134) loss_contra: 0.0002 (0.0110) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [10] [3380/5278] eta: 1:20:03 lr: 3.785198762339298e-05 loss: 0.0929 (0.1080) loss_seg: 0.1030 (0.1164) loss_lansim: 0.1041 (0.1134) loss_contra: 0.0002 (0.0110) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [10] [3390/5278] eta: 1:19:38 lr: 3.7849789177430785e-05 loss: 0.0926 (0.1081) loss_seg: 0.1026 (0.1165) loss_lansim: 0.1031 (0.1133) loss_contra: 0.0002 (0.0109) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [10] [3400/5278] eta: 1:19:13 lr: 3.7847590717280354e-05 loss: 0.0992 (0.1081) loss_seg: 0.1061 (0.1165) loss_lansim: 0.1025 (0.1133) loss_contra: 0.0002 (0.0109) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [10] [3410/5278] eta: 1:18:48 lr: 3.784539224294067e-05 loss: 0.0940 (0.1082) loss_seg: 0.1045 (0.1166) loss_lansim: 0.1005 (0.1132) loss_contra: 0.0002 (0.0109) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [10] [3420/5278] eta: 1:18:22 lr: 3.7843193754410746e-05 loss: 0.0935 (0.1081) loss_seg: 0.1038 (0.1166) loss_lansim: 0.1004 (0.1132) loss_contra: 0.0001 (0.0109) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [10] [3430/5278] eta: 1:17:57 lr: 3.784099525168956e-05 loss: 0.0917 (0.1081) loss_seg: 0.1016 (0.1165) loss_lansim: 0.0998 (0.1131) loss_contra: 0.0001 (0.0109) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [10] [3440/5278] eta: 1:17:32 lr: 3.783879673477611e-05 loss: 0.0917 (0.1080) loss_seg: 0.1005 (0.1165) loss_lansim: 0.0989 (0.1131) loss_contra: 0.0001 (0.0108) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [10] [3450/5278] eta: 1:17:07 lr: 3.783659820366938e-05 loss: 0.0935 (0.1081) loss_seg: 0.1038 (0.1165) loss_lansim: 0.0988 (0.1131) loss_contra: 0.0001 (0.0109) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [10] [3460/5278] eta: 1:16:42 lr: 3.783439965836836e-05 loss: 0.0934 (0.1080) loss_seg: 0.1034 (0.1165) loss_lansim: 0.0983 (0.1130) loss_contra: 0.0001 (0.0109) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [10] [3470/5278] eta: 1:16:16 lr: 3.7832201098872065e-05 loss: 0.0942 (0.1081) loss_seg: 0.1045 (0.1165) loss_lansim: 0.0971 (0.1130) loss_contra: 0.0001 (0.0109) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [10] [3480/5278] eta: 1:15:51 lr: 3.783000252517946e-05 loss: 0.1026 (0.1081) loss_seg: 0.1127 (0.1165) loss_lansim: 0.0970 (0.1129) loss_contra: 0.0001 (0.0108) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [10] [3490/5278] eta: 1:15:25 lr: 3.782780393728956e-05 loss: 0.1041 (0.1081) loss_seg: 0.1127 (0.1165) loss_lansim: 0.0989 (0.1129) loss_contra: 0.0001 (0.0108) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [10] [3500/5278] eta: 1:15:00 lr: 3.782560533520134e-05 loss: 0.1045 (0.1081) loss_seg: 0.1127 (0.1166) loss_lansim: 0.0988 (0.1129) loss_contra: 0.0001 (0.0108) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [10] [3510/5278] eta: 1:14:35 lr: 3.782340671891379e-05 loss: 0.1013 (0.1081) loss_seg: 0.1093 (0.1165) loss_lansim: 0.0997 (0.1129) loss_contra: 0.0001 (0.0107) time: 2.5334 data: 0.0026 max mem: 31671 Epoch: [10] [3520/5278] eta: 1:14:09 lr: 3.7821208088425915e-05 loss: 0.0985 (0.1080) loss_seg: 0.1072 (0.1165) loss_lansim: 0.0989 (0.1128) loss_contra: 0.0001 (0.0108) time: 2.5330 data: 0.0026 max mem: 31671 Epoch: [10] [3530/5278] eta: 1:13:44 lr: 3.781900944373669e-05 loss: 0.0968 (0.1079) loss_seg: 0.1063 (0.1164) loss_lansim: 0.0990 (0.1128) loss_contra: 0.0001 (0.0108) time: 2.5437 data: 0.0026 max mem: 31671 Epoch: [10] [3540/5278] eta: 1:13:19 lr: 3.781681078484511e-05 loss: 0.0971 (0.1080) loss_seg: 0.1065 (0.1164) loss_lansim: 0.0997 (0.1128) loss_contra: 0.0001 (0.0108) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [10] [3550/5278] eta: 1:12:54 lr: 3.781461211175018e-05 loss: 0.0961 (0.1080) loss_seg: 0.1025 (0.1164) loss_lansim: 0.0990 (0.1127) loss_contra: 0.0001 (0.0108) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [10] [3560/5278] eta: 1:12:29 lr: 3.781241342445088e-05 loss: 0.0968 (0.1080) loss_seg: 0.1058 (0.1164) loss_lansim: 0.1005 (0.1127) loss_contra: 0.0001 (0.0108) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [10] [3570/5278] eta: 1:12:04 lr: 3.7810214722946196e-05 loss: 0.0967 (0.1080) loss_seg: 0.1001 (0.1164) loss_lansim: 0.1009 (0.1127) loss_contra: 0.0001 (0.0109) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [10] [3580/5278] eta: 1:11:38 lr: 3.780801600723512e-05 loss: 0.0846 (0.1079) loss_seg: 0.0923 (0.1164) loss_lansim: 0.1007 (0.1127) loss_contra: 0.0002 (0.0108) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [10] [3590/5278] eta: 1:11:13 lr: 3.780581727731666e-05 loss: 0.0833 (0.1079) loss_seg: 0.0900 (0.1163) loss_lansim: 0.0993 (0.1126) loss_contra: 0.0001 (0.0108) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [10] [3600/5278] eta: 1:10:48 lr: 3.780361853318978e-05 loss: 0.0823 (0.1079) loss_seg: 0.0897 (0.1163) loss_lansim: 0.0993 (0.1126) loss_contra: 0.0002 (0.0108) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [10] [3610/5278] eta: 1:10:22 lr: 3.780141977485348e-05 loss: 0.0809 (0.1079) loss_seg: 0.0880 (0.1163) loss_lansim: 0.0990 (0.1125) loss_contra: 0.0005 (0.0108) time: 2.5421 data: 0.0025 max mem: 31671 Epoch: [10] [3620/5278] eta: 1:09:57 lr: 3.779922100230675e-05 loss: 0.0812 (0.1079) loss_seg: 0.0893 (0.1163) loss_lansim: 0.0993 (0.1125) loss_contra: 0.0005 (0.0108) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [10] [3630/5278] eta: 1:09:32 lr: 3.779702221554859e-05 loss: 0.0846 (0.1078) loss_seg: 0.0929 (0.1163) loss_lansim: 0.0993 (0.1125) loss_contra: 0.0005 (0.0107) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [10] [3640/5278] eta: 1:09:06 lr: 3.779482341457797e-05 loss: 0.0846 (0.1079) loss_seg: 0.0929 (0.1163) loss_lansim: 0.0978 (0.1124) loss_contra: 0.0004 (0.0107) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [10] [3650/5278] eta: 1:08:41 lr: 3.7792624599393894e-05 loss: 0.0843 (0.1078) loss_seg: 0.0929 (0.1163) loss_lansim: 0.0958 (0.1123) loss_contra: 0.0003 (0.0107) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [10] [3660/5278] eta: 1:08:15 lr: 3.779042576999535e-05 loss: 0.0843 (0.1079) loss_seg: 0.0929 (0.1163) loss_lansim: 0.0950 (0.1123) loss_contra: 0.0002 (0.0107) time: 2.5257 data: 0.0025 max mem: 31671 Epoch: [10] [3670/5278] eta: 1:07:50 lr: 3.778822692638132e-05 loss: 0.0838 (0.1079) loss_seg: 0.0927 (0.1163) loss_lansim: 0.0948 (0.1123) loss_contra: 0.0002 (0.0106) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [10] [3680/5278] eta: 1:07:25 lr: 3.77860280685508e-05 loss: 0.0893 (0.1079) loss_seg: 0.0989 (0.1163) loss_lansim: 0.0944 (0.1123) loss_contra: 0.0002 (0.0106) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [10] [3690/5278] eta: 1:06:59 lr: 3.7783829196502775e-05 loss: 0.0930 (0.1079) loss_seg: 0.0990 (0.1164) loss_lansim: 0.0963 (0.1122) loss_contra: 0.0002 (0.0108) time: 2.5268 data: 0.0024 max mem: 31671 Epoch: [10] [3700/5278] eta: 1:06:34 lr: 3.778163031023623e-05 loss: 0.0905 (0.1079) loss_seg: 0.0989 (0.1163) loss_lansim: 0.0963 (0.1122) loss_contra: 0.0002 (0.0108) time: 2.5183 data: 0.0024 max mem: 31671 Epoch: [10] [3710/5278] eta: 1:06:09 lr: 3.7779431409750167e-05 loss: 0.0905 (0.1078) loss_seg: 0.0989 (0.1163) loss_lansim: 0.0955 (0.1122) loss_contra: 0.0002 (0.0109) time: 2.5221 data: 0.0024 max mem: 31671 Epoch: [10] [3720/5278] eta: 1:05:44 lr: 3.777723249504356e-05 loss: 0.0905 (0.1079) loss_seg: 0.0990 (0.1164) loss_lansim: 0.0972 (0.1121) loss_contra: 0.0002 (0.0109) time: 2.5314 data: 0.0024 max mem: 31671 Epoch: [10] [3730/5278] eta: 1:05:18 lr: 3.7775033566115406e-05 loss: 0.0973 (0.1080) loss_seg: 0.1061 (0.1164) loss_lansim: 0.0994 (0.1121) loss_contra: 0.0002 (0.0109) time: 2.5268 data: 0.0025 max mem: 31671 Epoch: [10] [3740/5278] eta: 1:04:53 lr: 3.777283462296469e-05 loss: 0.0973 (0.1080) loss_seg: 0.1061 (0.1164) loss_lansim: 0.0998 (0.1121) loss_contra: 0.0002 (0.0109) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [10] [3750/5278] eta: 1:04:28 lr: 3.7770635665590395e-05 loss: 0.1009 (0.1080) loss_seg: 0.1094 (0.1164) loss_lansim: 0.1014 (0.1121) loss_contra: 0.0002 (0.0109) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [10] [3760/5278] eta: 1:04:03 lr: 3.776843669399153e-05 loss: 0.0973 (0.1079) loss_seg: 0.1077 (0.1164) loss_lansim: 0.1011 (0.1121) loss_contra: 0.0003 (0.0109) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [10] [3770/5278] eta: 1:03:38 lr: 3.776623770816705e-05 loss: 0.0973 (0.1079) loss_seg: 0.1077 (0.1163) loss_lansim: 0.0998 (0.1120) loss_contra: 0.0004 (0.0112) time: 2.5487 data: 0.0025 max mem: 31671 Epoch: [10] [3780/5278] eta: 1:03:12 lr: 3.776403870811596e-05 loss: 0.0957 (0.1078) loss_seg: 0.1020 (0.1163) loss_lansim: 0.1006 (0.1120) loss_contra: 0.0006 (0.0112) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [10] [3790/5278] eta: 1:02:47 lr: 3.7761839693837255e-05 loss: 0.0934 (0.1078) loss_seg: 0.1020 (0.1162) loss_lansim: 0.1006 (0.1120) loss_contra: 0.0005 (0.0113) time: 2.5504 data: 0.0025 max mem: 31671 Epoch: [10] [3800/5278] eta: 1:02:22 lr: 3.775964066532991e-05 loss: 0.0957 (0.1078) loss_seg: 0.1032 (0.1163) loss_lansim: 0.1006 (0.1120) loss_contra: 0.0006 (0.0112) time: 2.5687 data: 0.0025 max mem: 31671 Epoch: [10] [3810/5278] eta: 1:01:57 lr: 3.7757441622592924e-05 loss: 0.0957 (0.1078) loss_seg: 0.1032 (0.1163) loss_lansim: 0.1011 (0.1120) loss_contra: 0.0004 (0.0113) time: 2.5715 data: 0.0025 max mem: 31671 Epoch: [10] [3820/5278] eta: 1:01:32 lr: 3.7755242565625274e-05 loss: 0.0934 (0.1079) loss_seg: 0.1025 (0.1163) loss_lansim: 0.1029 (0.1120) loss_contra: 0.0006 (0.0112) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [10] [3830/5278] eta: 1:01:06 lr: 3.7753043494425945e-05 loss: 0.0925 (0.1079) loss_seg: 0.1020 (0.1164) loss_lansim: 0.1042 (0.1120) loss_contra: 0.0004 (0.0112) time: 2.5611 data: 0.0025 max mem: 31671 Epoch: [10] [3840/5278] eta: 1:00:41 lr: 3.775084440899393e-05 loss: 0.0893 (0.1078) loss_seg: 0.0981 (0.1163) loss_lansim: 0.1067 (0.1120) loss_contra: 0.0006 (0.0112) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [10] [3850/5278] eta: 1:00:16 lr: 3.7748645309328216e-05 loss: 0.0892 (0.1078) loss_seg: 0.0956 (0.1163) loss_lansim: 0.1079 (0.1120) loss_contra: 0.0005 (0.0112) time: 2.5574 data: 0.0025 max mem: 31671 Epoch: [10] [3860/5278] eta: 0:59:50 lr: 3.774644619542779e-05 loss: 0.0921 (0.1078) loss_seg: 0.1017 (0.1163) loss_lansim: 0.1088 (0.1120) loss_contra: 0.0004 (0.0112) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [10] [3870/5278] eta: 0:59:25 lr: 3.774424706729163e-05 loss: 0.0967 (0.1080) loss_seg: 0.1063 (0.1164) loss_lansim: 0.1109 (0.1120) loss_contra: 0.0005 (0.0111) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [10] [3880/5278] eta: 0:59:00 lr: 3.774204792491873e-05 loss: 0.0981 (0.1080) loss_seg: 0.1063 (0.1164) loss_lansim: 0.1111 (0.1120) loss_contra: 0.0003 (0.0111) time: 2.5511 data: 0.0026 max mem: 31671 Epoch: [10] [3890/5278] eta: 0:58:34 lr: 3.773984876830808e-05 loss: 0.0999 (0.1079) loss_seg: 0.1070 (0.1164) loss_lansim: 0.1110 (0.1120) loss_contra: 0.0004 (0.0112) time: 2.5460 data: 0.0026 max mem: 31671 Epoch: [10] [3900/5278] eta: 0:58:09 lr: 3.773764959745866e-05 loss: 0.0967 (0.1079) loss_seg: 0.1036 (0.1163) loss_lansim: 0.1133 (0.1120) loss_contra: 0.0002 (0.0112) time: 2.5367 data: 0.0026 max mem: 31671 Epoch: [10] [3910/5278] eta: 0:57:43 lr: 3.773545041236944e-05 loss: 0.1028 (0.1080) loss_seg: 0.1047 (0.1165) loss_lansim: 0.1109 (0.1120) loss_contra: 0.0003 (0.0112) time: 2.5223 data: 0.0026 max mem: 31671 Epoch: [10] [3920/5278] eta: 0:57:18 lr: 3.773325121303944e-05 loss: 0.0974 (0.1080) loss_seg: 0.1036 (0.1165) loss_lansim: 0.1103 (0.1120) loss_contra: 0.0003 (0.0111) time: 2.5223 data: 0.0026 max mem: 31671 Epoch: [10] [3930/5278] eta: 0:56:53 lr: 3.773105199946762e-05 loss: 0.0974 (0.1080) loss_seg: 0.1029 (0.1165) loss_lansim: 0.1090 (0.1119) loss_contra: 0.0003 (0.0112) time: 2.5280 data: 0.0026 max mem: 31671 Epoch: [10] [3940/5278] eta: 0:56:28 lr: 3.772885277165297e-05 loss: 0.1043 (0.1081) loss_seg: 0.1063 (0.1166) loss_lansim: 0.1090 (0.1120) loss_contra: 0.0002 (0.0112) time: 2.5233 data: 0.0026 max mem: 31671 Epoch: [10] [3950/5278] eta: 0:56:02 lr: 3.7726653529594486e-05 loss: 0.1043 (0.1081) loss_seg: 0.1071 (0.1166) loss_lansim: 0.1078 (0.1120) loss_contra: 0.0003 (0.0112) time: 2.5156 data: 0.0026 max mem: 31671 Epoch: [10] [3960/5278] eta: 0:55:37 lr: 3.772445427329114e-05 loss: 0.0999 (0.1081) loss_seg: 0.1036 (0.1166) loss_lansim: 0.1064 (0.1119) loss_contra: 0.0004 (0.0112) time: 2.5253 data: 0.0026 max mem: 31671 Epoch: [10] [3970/5278] eta: 0:55:11 lr: 3.772225500274193e-05 loss: 0.0964 (0.1080) loss_seg: 0.1012 (0.1165) loss_lansim: 0.1069 (0.1119) loss_contra: 0.0003 (0.0112) time: 2.5204 data: 0.0026 max mem: 31671 Epoch: [10] [3980/5278] eta: 0:54:46 lr: 3.772005571794582e-05 loss: 0.0964 (0.1080) loss_seg: 0.1012 (0.1165) loss_lansim: 0.1064 (0.1119) loss_contra: 0.0005 (0.0111) time: 2.5266 data: 0.0026 max mem: 31671 Epoch: [10] [3990/5278] eta: 0:54:21 lr: 3.771785641890182e-05 loss: 0.0974 (0.1081) loss_seg: 0.1029 (0.1166) loss_lansim: 0.1063 (0.1119) loss_contra: 0.0003 (0.0111) time: 2.5174 data: 0.0026 max mem: 31671 Epoch: [10] [4000/5278] eta: 0:53:55 lr: 3.771565710560889e-05 loss: 0.0999 (0.1081) loss_seg: 0.1045 (0.1166) loss_lansim: 0.1039 (0.1119) loss_contra: 0.0004 (0.0111) time: 2.5091 data: 0.0026 max mem: 31671 Epoch: [10] [4010/5278] eta: 0:53:30 lr: 3.7713457778066034e-05 loss: 0.0978 (0.1081) loss_seg: 0.1045 (0.1166) loss_lansim: 0.1037 (0.1118) loss_contra: 0.0004 (0.0112) time: 2.5172 data: 0.0026 max mem: 31671 Epoch: [10] [4020/5278] eta: 0:53:04 lr: 3.771125843627223e-05 loss: 0.1020 (0.1082) loss_seg: 0.1071 (0.1167) loss_lansim: 0.1045 (0.1118) loss_contra: 0.0005 (0.0112) time: 2.5212 data: 0.0026 max mem: 31671 Epoch: [10] [4030/5278] eta: 0:52:39 lr: 3.7709059080226464e-05 loss: 0.0999 (0.1081) loss_seg: 0.1045 (0.1166) loss_lansim: 0.1055 (0.1118) loss_contra: 0.0005 (0.0112) time: 2.5133 data: 0.0026 max mem: 31671 Epoch: [10] [4040/5278] eta: 0:52:14 lr: 3.770685970992771e-05 loss: 0.0999 (0.1083) loss_seg: 0.1045 (0.1168) loss_lansim: 0.1044 (0.1118) loss_contra: 0.0006 (0.0113) time: 2.5112 data: 0.0026 max mem: 31671 Epoch: [10] [4050/5278] eta: 0:51:49 lr: 3.770466032537497e-05 loss: 0.0989 (0.1083) loss_seg: 0.1022 (0.1168) loss_lansim: 0.1045 (0.1118) loss_contra: 0.0005 (0.0113) time: 2.5236 data: 0.0026 max mem: 31671 Epoch: [10] [4060/5278] eta: 0:51:23 lr: 3.7702460926567204e-05 loss: 0.1026 (0.1083) loss_seg: 0.1069 (0.1168) loss_lansim: 0.1045 (0.1118) loss_contra: 0.0006 (0.0113) time: 2.5127 data: 0.0025 max mem: 31671 Epoch: [10] [4070/5278] eta: 0:50:58 lr: 3.770026151350341e-05 loss: 0.1026 (0.1083) loss_seg: 0.1092 (0.1168) loss_lansim: 0.1044 (0.1118) loss_contra: 0.0009 (0.0114) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [10] [4080/5278] eta: 0:50:33 lr: 3.769806208618259e-05 loss: 0.0985 (0.1082) loss_seg: 0.1044 (0.1167) loss_lansim: 0.1038 (0.1118) loss_contra: 0.0009 (0.0114) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [10] [4090/5278] eta: 0:50:07 lr: 3.769586264460369e-05 loss: 0.0976 (0.1083) loss_seg: 0.1044 (0.1168) loss_lansim: 0.1036 (0.1117) loss_contra: 0.0010 (0.0114) time: 2.5298 data: 0.0024 max mem: 31671 Epoch: [10] [4100/5278] eta: 0:49:42 lr: 3.769366318876572e-05 loss: 0.0976 (0.1083) loss_seg: 0.1044 (0.1168) loss_lansim: 0.1036 (0.1117) loss_contra: 0.0011 (0.0114) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [10] [4110/5278] eta: 0:49:17 lr: 3.769146371866765e-05 loss: 0.1004 (0.1084) loss_seg: 0.1100 (0.1169) loss_lansim: 0.1036 (0.1117) loss_contra: 0.0010 (0.0114) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [10] [4120/5278] eta: 0:48:51 lr: 3.768926423430845e-05 loss: 0.0976 (0.1085) loss_seg: 0.1080 (0.1170) loss_lansim: 0.1031 (0.1116) loss_contra: 0.0007 (0.0115) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [10] [4130/5278] eta: 0:48:26 lr: 3.768706473568714e-05 loss: 0.0985 (0.1085) loss_seg: 0.1094 (0.1170) loss_lansim: 0.1023 (0.1116) loss_contra: 0.0004 (0.0114) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [10] [4140/5278] eta: 0:48:00 lr: 3.768486522280268e-05 loss: 0.0972 (0.1084) loss_seg: 0.1065 (0.1169) loss_lansim: 0.1021 (0.1116) loss_contra: 0.0003 (0.0114) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [10] [4150/5278] eta: 0:47:35 lr: 3.7682665695654046e-05 loss: 0.0972 (0.1084) loss_seg: 0.1065 (0.1169) loss_lansim: 0.1012 (0.1116) loss_contra: 0.0003 (0.0115) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [10] [4160/5278] eta: 0:47:09 lr: 3.768046615424024e-05 loss: 0.0985 (0.1085) loss_seg: 0.1080 (0.1170) loss_lansim: 0.1010 (0.1116) loss_contra: 0.0003 (0.0115) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [10] [4170/5278] eta: 0:46:45 lr: 3.767826659856022e-05 loss: 0.0972 (0.1084) loss_seg: 0.1056 (0.1169) loss_lansim: 0.1012 (0.1116) loss_contra: 0.0003 (0.0115) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [10] [4180/5278] eta: 0:46:19 lr: 3.7676067028612996e-05 loss: 0.0974 (0.1084) loss_seg: 0.1065 (0.1169) loss_lansim: 0.1021 (0.1115) loss_contra: 0.0002 (0.0114) time: 2.5234 data: 0.0026 max mem: 31671 Epoch: [10] [4190/5278] eta: 0:45:54 lr: 3.7673867444397525e-05 loss: 0.0966 (0.1084) loss_seg: 0.1051 (0.1169) loss_lansim: 0.1027 (0.1115) loss_contra: 0.0002 (0.0114) time: 2.5214 data: 0.0026 max mem: 31671 Epoch: [10] [4200/5278] eta: 0:45:29 lr: 3.76716678459128e-05 loss: 0.0952 (0.1084) loss_seg: 0.1027 (0.1169) loss_lansim: 0.1027 (0.1115) loss_contra: 0.0002 (0.0114) time: 2.5167 data: 0.0026 max mem: 31671 Epoch: [10] [4210/5278] eta: 0:45:03 lr: 3.7669468233157814e-05 loss: 0.0916 (0.1084) loss_seg: 0.1011 (0.1170) loss_lansim: 0.1039 (0.1115) loss_contra: 0.0003 (0.0114) time: 2.5138 data: 0.0026 max mem: 31671 Epoch: [10] [4220/5278] eta: 0:44:38 lr: 3.766726860613152e-05 loss: 0.0905 (0.1085) loss_seg: 0.1001 (0.1170) loss_lansim: 0.1044 (0.1115) loss_contra: 0.0003 (0.0114) time: 2.5209 data: 0.0026 max mem: 31671 Epoch: [10] [4230/5278] eta: 0:44:13 lr: 3.766506896483293e-05 loss: 0.0952 (0.1086) loss_seg: 0.1043 (0.1171) loss_lansim: 0.1053 (0.1115) loss_contra: 0.0003 (0.0114) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [10] [4240/5278] eta: 0:43:47 lr: 3.766286930926101e-05 loss: 0.0952 (0.1087) loss_seg: 0.1043 (0.1172) loss_lansim: 0.1057 (0.1115) loss_contra: 0.0004 (0.0113) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [10] [4250/5278] eta: 0:43:22 lr: 3.766066963941473e-05 loss: 0.0952 (0.1087) loss_seg: 0.1043 (0.1172) loss_lansim: 0.1053 (0.1115) loss_contra: 0.0004 (0.0114) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [10] [4260/5278] eta: 0:42:57 lr: 3.765846995529308e-05 loss: 0.0905 (0.1087) loss_seg: 0.0998 (0.1172) loss_lansim: 0.1044 (0.1114) loss_contra: 0.0004 (0.0114) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [10] [4270/5278] eta: 0:42:31 lr: 3.765627025689506e-05 loss: 0.0964 (0.1088) loss_seg: 0.1039 (0.1173) loss_lansim: 0.1038 (0.1114) loss_contra: 0.0003 (0.0114) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [10] [4280/5278] eta: 0:42:06 lr: 3.7654070544219625e-05 loss: 0.0989 (0.1088) loss_seg: 0.1043 (0.1173) loss_lansim: 0.1038 (0.1114) loss_contra: 0.0003 (0.0113) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [10] [4290/5278] eta: 0:41:40 lr: 3.765187081726578e-05 loss: 0.1018 (0.1089) loss_seg: 0.1097 (0.1174) loss_lansim: 0.1038 (0.1114) loss_contra: 0.0003 (0.0114) time: 2.5146 data: 0.0025 max mem: 31671 Epoch: [10] [4300/5278] eta: 0:41:15 lr: 3.7649671076032476e-05 loss: 0.1040 (0.1090) loss_seg: 0.1124 (0.1175) loss_lansim: 0.1037 (0.1114) loss_contra: 0.0002 (0.0114) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [10] [4310/5278] eta: 0:40:50 lr: 3.764747132051871e-05 loss: 0.1046 (0.1090) loss_seg: 0.1124 (0.1176) loss_lansim: 0.1035 (0.1114) loss_contra: 0.0002 (0.0114) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [10] [4320/5278] eta: 0:40:25 lr: 3.7645271550723466e-05 loss: 0.1048 (0.1090) loss_seg: 0.1140 (0.1176) loss_lansim: 0.1031 (0.1113) loss_contra: 0.0003 (0.0114) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [10] [4330/5278] eta: 0:39:59 lr: 3.764307176664571e-05 loss: 0.1027 (0.1090) loss_seg: 0.1113 (0.1176) loss_lansim: 0.1012 (0.1113) loss_contra: 0.0004 (0.0113) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [10] [4340/5278] eta: 0:39:34 lr: 3.7640871968284434e-05 loss: 0.1018 (0.1090) loss_seg: 0.1113 (0.1176) loss_lansim: 0.1005 (0.1113) loss_contra: 0.0003 (0.0113) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [10] [4350/5278] eta: 0:39:09 lr: 3.763867215563862e-05 loss: 0.1027 (0.1090) loss_seg: 0.1118 (0.1176) loss_lansim: 0.1029 (0.1113) loss_contra: 0.0003 (0.0113) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [10] [4360/5278] eta: 0:38:44 lr: 3.763647232870724e-05 loss: 0.1027 (0.1090) loss_seg: 0.1138 (0.1176) loss_lansim: 0.1031 (0.1113) loss_contra: 0.0002 (0.0113) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [10] [4370/5278] eta: 0:38:18 lr: 3.763427248748927e-05 loss: 0.0990 (0.1091) loss_seg: 0.1097 (0.1177) loss_lansim: 0.1040 (0.1113) loss_contra: 0.0002 (0.0113) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [10] [4380/5278] eta: 0:37:53 lr: 3.7632072631983695e-05 loss: 0.1027 (0.1092) loss_seg: 0.1125 (0.1178) loss_lansim: 0.1052 (0.1113) loss_contra: 0.0003 (0.0112) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [10] [4390/5278] eta: 0:37:27 lr: 3.7629872762189486e-05 loss: 0.0922 (0.1091) loss_seg: 0.1002 (0.1177) loss_lansim: 0.1052 (0.1113) loss_contra: 0.0003 (0.0112) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [10] [4400/5278] eta: 0:37:02 lr: 3.762767287810565e-05 loss: 0.0889 (0.1091) loss_seg: 0.0956 (0.1177) loss_lansim: 0.1061 (0.1113) loss_contra: 0.0003 (0.0112) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [10] [4410/5278] eta: 0:36:37 lr: 3.7625472979731125e-05 loss: 0.0865 (0.1091) loss_seg: 0.0929 (0.1177) loss_lansim: 0.1053 (0.1113) loss_contra: 0.0003 (0.0112) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [10] [4420/5278] eta: 0:36:12 lr: 3.762327306706492e-05 loss: 0.0888 (0.1092) loss_seg: 0.0956 (0.1178) loss_lansim: 0.1061 (0.1113) loss_contra: 0.0003 (0.0112) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [10] [4430/5278] eta: 0:35:46 lr: 3.7621073140106e-05 loss: 0.0898 (0.1092) loss_seg: 0.0983 (0.1178) loss_lansim: 0.1086 (0.1113) loss_contra: 0.0003 (0.0111) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [10] [4440/5278] eta: 0:35:21 lr: 3.761887319885335e-05 loss: 0.0909 (0.1092) loss_seg: 0.1002 (0.1178) loss_lansim: 0.1079 (0.1113) loss_contra: 0.0003 (0.0111) time: 2.5471 data: 0.0025 max mem: 31671 Epoch: [10] [4450/5278] eta: 0:34:56 lr: 3.761667324330595e-05 loss: 0.0909 (0.1092) loss_seg: 0.1002 (0.1178) loss_lansim: 0.1057 (0.1112) loss_contra: 0.0003 (0.0111) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [10] [4460/5278] eta: 0:34:30 lr: 3.761447327346276e-05 loss: 0.0915 (0.1092) loss_seg: 0.1008 (0.1177) loss_lansim: 0.1067 (0.1112) loss_contra: 0.0003 (0.0111) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [10] [4470/5278] eta: 0:34:05 lr: 3.7612273289322784e-05 loss: 0.0915 (0.1091) loss_seg: 0.0991 (0.1177) loss_lansim: 0.1053 (0.1112) loss_contra: 0.0002 (0.0111) time: 2.5398 data: 0.0026 max mem: 31671 Epoch: [10] [4480/5278] eta: 0:33:40 lr: 3.7610073290884986e-05 loss: 0.0915 (0.1091) loss_seg: 0.1008 (0.1177) loss_lansim: 0.1047 (0.1112) loss_contra: 0.0002 (0.0111) time: 2.5363 data: 0.0025 max mem: 31671 Epoch: [10] [4490/5278] eta: 0:33:14 lr: 3.760787327814834e-05 loss: 0.0969 (0.1092) loss_seg: 0.1063 (0.1178) loss_lansim: 0.1046 (0.1112) loss_contra: 0.0002 (0.0111) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [10] [4500/5278] eta: 0:32:49 lr: 3.760567325111184e-05 loss: 0.0999 (0.1092) loss_seg: 0.1103 (0.1178) loss_lansim: 0.1047 (0.1112) loss_contra: 0.0002 (0.0110) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [10] [4510/5278] eta: 0:32:24 lr: 3.7603473209774445e-05 loss: 0.1017 (0.1092) loss_seg: 0.1111 (0.1178) loss_lansim: 0.1057 (0.1112) loss_contra: 0.0002 (0.0110) time: 2.5334 data: 0.0025 max mem: 31671 Epoch: [10] [4520/5278] eta: 0:31:59 lr: 3.7601273154135136e-05 loss: 0.1017 (0.1093) loss_seg: 0.1125 (0.1179) loss_lansim: 0.1067 (0.1112) loss_contra: 0.0002 (0.0110) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [10] [4530/5278] eta: 0:31:33 lr: 3.75990730841929e-05 loss: 0.1019 (0.1093) loss_seg: 0.1126 (0.1179) loss_lansim: 0.1071 (0.1112) loss_contra: 0.0001 (0.0110) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [10] [4540/5278] eta: 0:31:08 lr: 3.759687299994671e-05 loss: 0.1013 (0.1092) loss_seg: 0.1101 (0.1178) loss_lansim: 0.1084 (0.1113) loss_contra: 0.0001 (0.0111) time: 2.5322 data: 0.0026 max mem: 31671 Epoch: [10] [4550/5278] eta: 0:30:43 lr: 3.759467290139554e-05 loss: 0.1016 (0.1093) loss_seg: 0.1103 (0.1179) loss_lansim: 0.1103 (0.1113) loss_contra: 0.0001 (0.0111) time: 2.5364 data: 0.0026 max mem: 31671 Epoch: [10] [4560/5278] eta: 0:30:17 lr: 3.759247278853837e-05 loss: 0.1051 (0.1094) loss_seg: 0.1130 (0.1180) loss_lansim: 0.1106 (0.1112) loss_contra: 0.0002 (0.0110) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [10] [4570/5278] eta: 0:29:52 lr: 3.759027266137417e-05 loss: 0.1094 (0.1094) loss_seg: 0.1209 (0.1180) loss_lansim: 0.1111 (0.1113) loss_contra: 0.0002 (0.0110) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [10] [4580/5278] eta: 0:29:27 lr: 3.758807251990193e-05 loss: 0.1016 (0.1093) loss_seg: 0.1101 (0.1179) loss_lansim: 0.1118 (0.1113) loss_contra: 0.0002 (0.0112) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [10] [4590/5278] eta: 0:29:01 lr: 3.758587236412061e-05 loss: 0.1016 (0.1093) loss_seg: 0.1101 (0.1179) loss_lansim: 0.1138 (0.1113) loss_contra: 0.0002 (0.0112) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [10] [4600/5278] eta: 0:28:36 lr: 3.7583672194029194e-05 loss: 0.1006 (0.1093) loss_seg: 0.1081 (0.1179) loss_lansim: 0.1147 (0.1113) loss_contra: 0.0002 (0.0113) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [10] [4610/5278] eta: 0:28:11 lr: 3.758147200962666e-05 loss: 0.0953 (0.1093) loss_seg: 0.1017 (0.1179) loss_lansim: 0.1142 (0.1113) loss_contra: 0.0003 (0.0113) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [10] [4620/5278] eta: 0:27:45 lr: 3.757927181091198e-05 loss: 0.0886 (0.1092) loss_seg: 0.0946 (0.1178) loss_lansim: 0.1142 (0.1113) loss_contra: 0.0004 (0.0113) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [10] [4630/5278] eta: 0:27:20 lr: 3.757707159788414e-05 loss: 0.0854 (0.1092) loss_seg: 0.0945 (0.1178) loss_lansim: 0.1142 (0.1113) loss_contra: 0.0005 (0.0113) time: 2.5245 data: 0.0026 max mem: 31671 Epoch: [10] [4640/5278] eta: 0:26:55 lr: 3.75748713705421e-05 loss: 0.0953 (0.1093) loss_seg: 0.0996 (0.1178) loss_lansim: 0.1142 (0.1113) loss_contra: 0.0005 (0.0113) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [10] [4650/5278] eta: 0:26:29 lr: 3.7572671128884846e-05 loss: 0.0966 (0.1093) loss_seg: 0.1017 (0.1178) loss_lansim: 0.1142 (0.1113) loss_contra: 0.0005 (0.0113) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [10] [4660/5278] eta: 0:26:04 lr: 3.757047087291135e-05 loss: 0.0952 (0.1092) loss_seg: 0.0988 (0.1178) loss_lansim: 0.1147 (0.1113) loss_contra: 0.0006 (0.0113) time: 2.5232 data: 0.0025 max mem: 31671 Epoch: [10] [4670/5278] eta: 0:25:39 lr: 3.756827060262058e-05 loss: 0.0965 (0.1093) loss_seg: 0.1017 (0.1179) loss_lansim: 0.1152 (0.1113) loss_contra: 0.0006 (0.0113) time: 2.5299 data: 0.0026 max mem: 31671 Epoch: [10] [4680/5278] eta: 0:25:13 lr: 3.756607031801153e-05 loss: 0.0966 (0.1093) loss_seg: 0.1021 (0.1178) loss_lansim: 0.1128 (0.1113) loss_contra: 0.0006 (0.0113) time: 2.5254 data: 0.0026 max mem: 31671 Epoch: [10] [4690/5278] eta: 0:24:48 lr: 3.7563870019083164e-05 loss: 0.0967 (0.1093) loss_seg: 0.1040 (0.1179) loss_lansim: 0.1125 (0.1114) loss_contra: 0.0005 (0.0113) time: 2.5345 data: 0.0026 max mem: 31671 Epoch: [10] [4700/5278] eta: 0:24:23 lr: 3.756166970583445e-05 loss: 0.0969 (0.1094) loss_seg: 0.1051 (0.1179) loss_lansim: 0.1111 (0.1114) loss_contra: 0.0005 (0.0113) time: 2.5256 data: 0.0026 max mem: 31671 Epoch: [10] [4710/5278] eta: 0:23:57 lr: 3.7559469378264376e-05 loss: 0.0978 (0.1094) loss_seg: 0.1073 (0.1179) loss_lansim: 0.1125 (0.1114) loss_contra: 0.0005 (0.0113) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [10] [4720/5278] eta: 0:23:32 lr: 3.755726903637191e-05 loss: 0.1033 (0.1094) loss_seg: 0.1132 (0.1180) loss_lansim: 0.1125 (0.1114) loss_contra: 0.0004 (0.0112) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [10] [4730/5278] eta: 0:23:07 lr: 3.7555068680156027e-05 loss: 0.1065 (0.1094) loss_seg: 0.1146 (0.1180) loss_lansim: 0.1111 (0.1114) loss_contra: 0.0004 (0.0113) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [10] [4740/5278] eta: 0:22:41 lr: 3.75528683096157e-05 loss: 0.1053 (0.1095) loss_seg: 0.1144 (0.1181) loss_lansim: 0.1130 (0.1114) loss_contra: 0.0004 (0.0112) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [10] [4750/5278] eta: 0:22:16 lr: 3.7550667924749896e-05 loss: 0.1065 (0.1095) loss_seg: 0.1144 (0.1181) loss_lansim: 0.1136 (0.1114) loss_contra: 0.0004 (0.0112) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [10] [4760/5278] eta: 0:21:51 lr: 3.754846752555761e-05 loss: 0.1088 (0.1095) loss_seg: 0.1189 (0.1181) loss_lansim: 0.1150 (0.1114) loss_contra: 0.0004 (0.0112) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [10] [4770/5278] eta: 0:21:26 lr: 3.754626711203779e-05 loss: 0.1065 (0.1095) loss_seg: 0.1144 (0.1181) loss_lansim: 0.1130 (0.1114) loss_contra: 0.0003 (0.0112) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [10] [4780/5278] eta: 0:21:00 lr: 3.7544066684189425e-05 loss: 0.1071 (0.1096) loss_seg: 0.1187 (0.1182) loss_lansim: 0.1137 (0.1114) loss_contra: 0.0003 (0.0112) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [10] [4790/5278] eta: 0:20:35 lr: 3.7541866242011497e-05 loss: 0.1053 (0.1096) loss_seg: 0.1144 (0.1182) loss_lansim: 0.1111 (0.1114) loss_contra: 0.0002 (0.0112) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [10] [4800/5278] eta: 0:20:10 lr: 3.753966578550296e-05 loss: 0.1045 (0.1096) loss_seg: 0.1122 (0.1182) loss_lansim: 0.1102 (0.1113) loss_contra: 0.0002 (0.0111) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [10] [4810/5278] eta: 0:19:44 lr: 3.75374653146628e-05 loss: 0.1041 (0.1096) loss_seg: 0.1116 (0.1182) loss_lansim: 0.1081 (0.1113) loss_contra: 0.0002 (0.0111) time: 2.5481 data: 0.0025 max mem: 31671 Epoch: [10] [4820/5278] eta: 0:19:19 lr: 3.753526482948999e-05 loss: 0.1041 (0.1096) loss_seg: 0.1116 (0.1182) loss_lansim: 0.1074 (0.1113) loss_contra: 0.0002 (0.0112) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [10] [4830/5278] eta: 0:18:54 lr: 3.753306432998349e-05 loss: 0.1014 (0.1096) loss_seg: 0.1103 (0.1182) loss_lansim: 0.1072 (0.1113) loss_contra: 0.0001 (0.0112) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [10] [4840/5278] eta: 0:18:28 lr: 3.753086381614228e-05 loss: 0.1045 (0.1096) loss_seg: 0.1122 (0.1182) loss_lansim: 0.1053 (0.1113) loss_contra: 0.0002 (0.0112) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [10] [4850/5278] eta: 0:18:03 lr: 3.752866328796534e-05 loss: 0.1012 (0.1096) loss_seg: 0.1074 (0.1182) loss_lansim: 0.1071 (0.1113) loss_contra: 0.0002 (0.0112) time: 2.5241 data: 0.0026 max mem: 31671 Epoch: [10] [4860/5278] eta: 0:17:38 lr: 3.7526462745451644e-05 loss: 0.1012 (0.1096) loss_seg: 0.1093 (0.1181) loss_lansim: 0.1035 (0.1113) loss_contra: 0.0002 (0.0112) time: 2.5125 data: 0.0026 max mem: 31671 Epoch: [10] [4870/5278] eta: 0:17:12 lr: 3.752426218860015e-05 loss: 0.1012 (0.1096) loss_seg: 0.1103 (0.1182) loss_lansim: 0.1029 (0.1113) loss_contra: 0.0002 (0.0113) time: 2.5169 data: 0.0026 max mem: 31671 Epoch: [10] [4880/5278] eta: 0:16:47 lr: 3.7522061617409835e-05 loss: 0.0965 (0.1096) loss_seg: 0.1038 (0.1182) loss_lansim: 0.1029 (0.1112) loss_contra: 0.0001 (0.0113) time: 2.5221 data: 0.0026 max mem: 31671 Epoch: [10] [4890/5278] eta: 0:16:22 lr: 3.7519861031879684e-05 loss: 0.0934 (0.1095) loss_seg: 0.1001 (0.1181) loss_lansim: 0.1029 (0.1112) loss_contra: 0.0001 (0.0115) time: 2.5225 data: 0.0026 max mem: 31671 Epoch: [10] [4900/5278] eta: 0:15:56 lr: 3.7517660432008655e-05 loss: 0.0932 (0.1096) loss_seg: 0.1000 (0.1182) loss_lansim: 0.1034 (0.1112) loss_contra: 0.0002 (0.0114) time: 2.5195 data: 0.0026 max mem: 31671 Epoch: [10] [4910/5278] eta: 0:15:31 lr: 3.751545981779572e-05 loss: 0.0914 (0.1096) loss_seg: 0.0992 (0.1182) loss_lansim: 0.1029 (0.1112) loss_contra: 0.0003 (0.0114) time: 2.5164 data: 0.0026 max mem: 31671 Epoch: [10] [4920/5278] eta: 0:15:06 lr: 3.7513259189239866e-05 loss: 0.0925 (0.1096) loss_seg: 0.1000 (0.1182) loss_lansim: 0.1029 (0.1112) loss_contra: 0.0004 (0.0114) time: 2.5234 data: 0.0026 max mem: 31671 Epoch: [10] [4930/5278] eta: 0:14:40 lr: 3.7511058546340045e-05 loss: 0.0914 (0.1096) loss_seg: 0.0992 (0.1182) loss_lansim: 0.1023 (0.1112) loss_contra: 0.0004 (0.0115) time: 2.5235 data: 0.0026 max mem: 31671 Epoch: [10] [4940/5278] eta: 0:14:15 lr: 3.750885788909523e-05 loss: 0.0894 (0.1096) loss_seg: 0.0941 (0.1182) loss_lansim: 0.1019 (0.1111) loss_contra: 0.0003 (0.0115) time: 2.5289 data: 0.0026 max mem: 31671 Epoch: [10] [4950/5278] eta: 0:13:50 lr: 3.750665721750442e-05 loss: 0.0894 (0.1097) loss_seg: 0.0969 (0.1183) loss_lansim: 0.1019 (0.1111) loss_contra: 0.0003 (0.0114) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [10] [4960/5278] eta: 0:13:25 lr: 3.7504456531566544e-05 loss: 0.0901 (0.1097) loss_seg: 0.0969 (0.1183) loss_lansim: 0.1019 (0.1111) loss_contra: 0.0003 (0.0114) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [10] [4970/5278] eta: 0:12:59 lr: 3.750225583128061e-05 loss: 0.0887 (0.1097) loss_seg: 0.0964 (0.1183) loss_lansim: 0.1019 (0.1111) loss_contra: 0.0004 (0.0114) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [10] [4980/5278] eta: 0:12:34 lr: 3.750005511664557e-05 loss: 0.0904 (0.1097) loss_seg: 0.0972 (0.1183) loss_lansim: 0.1019 (0.1111) loss_contra: 0.0004 (0.0115) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [10] [4990/5278] eta: 0:12:09 lr: 3.7497854387660396e-05 loss: 0.0919 (0.1098) loss_seg: 0.0998 (0.1183) loss_lansim: 0.1019 (0.1111) loss_contra: 0.0004 (0.0115) time: 2.5427 data: 0.0025 max mem: 31671 Epoch: [10] [5000/5278] eta: 0:11:43 lr: 3.749565364432407e-05 loss: 0.0919 (0.1097) loss_seg: 0.0998 (0.1183) loss_lansim: 0.1025 (0.1111) loss_contra: 0.0003 (0.0115) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [10] [5010/5278] eta: 0:11:18 lr: 3.7493452886635544e-05 loss: 0.0939 (0.1098) loss_seg: 0.1026 (0.1184) loss_lansim: 0.1019 (0.1110) loss_contra: 0.0003 (0.0114) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [10] [5020/5278] eta: 0:10:53 lr: 3.74912521145938e-05 loss: 0.0925 (0.1097) loss_seg: 0.0998 (0.1183) loss_lansim: 0.1010 (0.1110) loss_contra: 0.0002 (0.0114) time: 2.5564 data: 0.0025 max mem: 31671 Epoch: [10] [5030/5278] eta: 0:10:27 lr: 3.748905132819781e-05 loss: 0.0930 (0.1097) loss_seg: 0.1016 (0.1183) loss_lansim: 0.1026 (0.1110) loss_contra: 0.0002 (0.0114) time: 2.5496 data: 0.0025 max mem: 31671 Epoch: [10] [5040/5278] eta: 0:10:02 lr: 3.7486850527446534e-05 loss: 0.0933 (0.1097) loss_seg: 0.1020 (0.1183) loss_lansim: 0.1025 (0.1110) loss_contra: 0.0003 (0.0114) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [10] [5050/5278] eta: 0:09:37 lr: 3.748464971233895e-05 loss: 0.0990 (0.1098) loss_seg: 0.1032 (0.1183) loss_lansim: 0.1028 (0.1110) loss_contra: 0.0003 (0.0114) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [10] [5060/5278] eta: 0:09:11 lr: 3.7482448882874025e-05 loss: 0.0979 (0.1097) loss_seg: 0.1020 (0.1183) loss_lansim: 0.1034 (0.1110) loss_contra: 0.0003 (0.0114) time: 2.5603 data: 0.0025 max mem: 31671 Epoch: [10] [5070/5278] eta: 0:08:46 lr: 3.748024803905073e-05 loss: 0.0990 (0.1097) loss_seg: 0.1029 (0.1183) loss_lansim: 0.1049 (0.1110) loss_contra: 0.0002 (0.0114) time: 2.5628 data: 0.0025 max mem: 31671 Epoch: [10] [5080/5278] eta: 0:08:21 lr: 3.747804718086804e-05 loss: 0.0957 (0.1097) loss_seg: 0.1005 (0.1183) loss_lansim: 0.1049 (0.1110) loss_contra: 0.0002 (0.0113) time: 2.5461 data: 0.0025 max mem: 31671 Epoch: [10] [5090/5278] eta: 0:07:56 lr: 3.7475846308324916e-05 loss: 0.0911 (0.1097) loss_seg: 0.0954 (0.1182) loss_lansim: 0.1068 (0.1110) loss_contra: 0.0002 (0.0113) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [10] [5100/5278] eta: 0:07:30 lr: 3.747364542142033e-05 loss: 0.0873 (0.1096) loss_seg: 0.0935 (0.1182) loss_lansim: 0.1077 (0.1110) loss_contra: 0.0002 (0.0113) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [10] [5110/5278] eta: 0:07:05 lr: 3.747144452015325e-05 loss: 0.0861 (0.1096) loss_seg: 0.0935 (0.1182) loss_lansim: 0.1089 (0.1110) loss_contra: 0.0002 (0.0113) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [10] [5120/5278] eta: 0:06:40 lr: 3.746924360452264e-05 loss: 0.0866 (0.1096) loss_seg: 0.0955 (0.1182) loss_lansim: 0.1094 (0.1110) loss_contra: 0.0002 (0.0113) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [10] [5130/5278] eta: 0:06:14 lr: 3.7467042674527485e-05 loss: 0.0861 (0.1096) loss_seg: 0.0935 (0.1181) loss_lansim: 0.1108 (0.1111) loss_contra: 0.0002 (0.0113) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [10] [5140/5278] eta: 0:05:49 lr: 3.746484173016674e-05 loss: 0.0873 (0.1096) loss_seg: 0.0956 (0.1182) loss_lansim: 0.1125 (0.1111) loss_contra: 0.0002 (0.0113) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [10] [5150/5278] eta: 0:05:24 lr: 3.7462640771439376e-05 loss: 0.0866 (0.1096) loss_seg: 0.0955 (0.1182) loss_lansim: 0.1151 (0.1111) loss_contra: 0.0002 (0.0113) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [10] [5160/5278] eta: 0:04:58 lr: 3.746043979834436e-05 loss: 0.0873 (0.1096) loss_seg: 0.0958 (0.1182) loss_lansim: 0.1151 (0.1111) loss_contra: 0.0002 (0.0113) time: 2.5173 data: 0.0025 max mem: 31671 Epoch: [10] [5170/5278] eta: 0:04:33 lr: 3.745823881088066e-05 loss: 0.0873 (0.1096) loss_seg: 0.0958 (0.1181) loss_lansim: 0.1157 (0.1111) loss_contra: 0.0001 (0.0114) time: 2.5171 data: 0.0025 max mem: 31671 Epoch: [10] [5180/5278] eta: 0:04:08 lr: 3.745603780904725e-05 loss: 0.0925 (0.1096) loss_seg: 0.0966 (0.1181) loss_lansim: 0.1157 (0.1111) loss_contra: 0.0001 (0.0113) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [10] [5190/5278] eta: 0:03:42 lr: 3.7453836792843095e-05 loss: 0.0956 (0.1096) loss_seg: 0.1033 (0.1182) loss_lansim: 0.1157 (0.1111) loss_contra: 0.0002 (0.0113) time: 2.5375 data: 0.0024 max mem: 31671 Epoch: [10] [5200/5278] eta: 0:03:17 lr: 3.7451635762267157e-05 loss: 0.1007 (0.1096) loss_seg: 0.1112 (0.1182) loss_lansim: 0.1166 (0.1111) loss_contra: 0.0002 (0.0113) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [10] [5210/5278] eta: 0:02:52 lr: 3.744943471731842e-05 loss: 0.0978 (0.1096) loss_seg: 0.1069 (0.1181) loss_lansim: 0.1166 (0.1111) loss_contra: 0.0002 (0.0113) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [10] [5220/5278] eta: 0:02:26 lr: 3.744723365799583e-05 loss: 0.1041 (0.1097) loss_seg: 0.1139 (0.1183) loss_lansim: 0.1170 (0.1112) loss_contra: 0.0003 (0.0113) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [10] [5230/5278] eta: 0:02:01 lr: 3.744503258429837e-05 loss: 0.1041 (0.1097) loss_seg: 0.1139 (0.1183) loss_lansim: 0.1151 (0.1112) loss_contra: 0.0003 (0.0113) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [10] [5240/5278] eta: 0:01:36 lr: 3.7442831496225e-05 loss: 0.0992 (0.1096) loss_seg: 0.1069 (0.1182) loss_lansim: 0.1152 (0.1112) loss_contra: 0.0004 (0.0113) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [10] [5250/5278] eta: 0:01:10 lr: 3.7440630393774684e-05 loss: 0.0956 (0.1096) loss_seg: 0.1057 (0.1182) loss_lansim: 0.1140 (0.1111) loss_contra: 0.0004 (0.0114) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [10] [5260/5278] eta: 0:00:45 lr: 3.743842927694641e-05 loss: 0.0953 (0.1096) loss_seg: 0.1036 (0.1182) loss_lansim: 0.1140 (0.1111) loss_contra: 0.0003 (0.0114) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [10] [5270/5278] eta: 0:00:20 lr: 3.7436228145739116e-05 loss: 0.0992 (0.1096) loss_seg: 0.1059 (0.1182) loss_lansim: 0.1134 (0.1111) loss_contra: 0.0004 (0.0115) time: 2.5246 data: 0.0025 max mem: 31671 Epoch: [10] Total time: 3:42:43 Test: [ 0/2573] eta: 1:42:50 time: 2.3983 data: 2.2243 max mem: 31671 Test: [ 100/2573] eta: 0:06:41 time: 0.1401 data: 0.0013 max mem: 31671 Test: [ 200/2573] eta: 0:06:06 time: 0.1463 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:42 time: 0.1428 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:24 time: 0.1448 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:07 time: 0.1450 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:52 time: 0.1480 data: 0.0016 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1491 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1480 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:08 time: 0.1483 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1459 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:37 time: 0.1454 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1475 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:08 time: 0.1467 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1422 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1465 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1466 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1456 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1440 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1423 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1430 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1463 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1395 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1474 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1442 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1464 data: 0.0015 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 58.88 precision@0.6 = 53.47 precision@0.7 = 45.18 precision@0.8 = 34.64 precision@0.9 = 15.11 overall IoU = 52.40 mean IoU = 52.50 Average object IoU 0.5250019636084656 Overall IoU 52.39643778183248 Better epoch: 10 The best_performance is 52.39643778183248 Epoch: [11] [ 0/5278] eta: 5:51:59 lr: 3.74344672304197e-05 loss: 0.1156 (0.1156) loss_seg: 0.1144 (0.1144) loss_lansim: 0.1180 (0.1180) loss_contra: 0.0001 (0.0001) time: 4.0014 data: 1.4238 max mem: 31671 Epoch: [11] [ 10/5278] eta: 3:57:42 lr: 3.743226607332759e-05 loss: 0.0860 (0.1079) loss_seg: 0.0944 (0.1157) loss_lansim: 0.1019 (0.1046) loss_contra: 0.0003 (0.0100) time: 2.7073 data: 0.1316 max mem: 31671 Epoch: [11] [ 20/5278] eta: 3:52:15 lr: 3.743006490185359e-05 loss: 0.0860 (0.1042) loss_seg: 0.0944 (0.1134) loss_lansim: 0.1019 (0.1084) loss_contra: 0.0005 (0.0097) time: 2.6503 data: 0.0699 max mem: 31671 Epoch: [11] [ 30/5278] eta: 3:50:23 lr: 3.742786371599664e-05 loss: 0.0759 (0.0965) loss_seg: 0.0839 (0.1050) loss_lansim: 0.1078 (0.1100) loss_contra: 0.0005 (0.0072) time: 2.6340 data: 0.0482 max mem: 31671 Epoch: [11] [ 40/5278] eta: 3:48:54 lr: 3.742566251575573e-05 loss: 0.0759 (0.1030) loss_seg: 0.0839 (0.1115) loss_lansim: 0.1083 (0.1113) loss_contra: 0.0005 (0.0063) time: 2.6220 data: 0.0371 max mem: 31671 Epoch: [11] [ 50/5278] eta: 3:47:10 lr: 3.742346130112982e-05 loss: 0.0813 (0.1020) loss_seg: 0.0901 (0.1105) loss_lansim: 0.1094 (0.1111) loss_contra: 0.0003 (0.0057) time: 2.6072 data: 0.0303 max mem: 31671 Epoch: [11] [ 60/5278] eta: 3:44:23 lr: 3.742126007211787e-05 loss: 0.0860 (0.0995) loss_seg: 0.0944 (0.1077) loss_lansim: 0.1095 (0.1114) loss_contra: 0.0005 (0.0061) time: 2.5802 data: 0.0258 max mem: 31671 Epoch: [11] [ 70/5278] eta: 3:43:21 lr: 3.741905882871885e-05 loss: 0.0839 (0.0989) loss_seg: 0.0925 (0.1073) loss_lansim: 0.1094 (0.1106) loss_contra: 0.0003 (0.0057) time: 2.5733 data: 0.0225 max mem: 31671 Epoch: [11] [ 80/5278] eta: 3:42:35 lr: 3.741685757093172e-05 loss: 0.0813 (0.0964) loss_seg: 0.0895 (0.1046) loss_lansim: 0.1092 (0.1102) loss_contra: 0.0003 (0.0057) time: 2.5693 data: 0.0200 max mem: 31671 Epoch: [11] [ 90/5278] eta: 3:41:04 lr: 3.741465629875546e-05 loss: 0.0813 (0.0945) loss_seg: 0.0873 (0.1023) loss_lansim: 0.1088 (0.1094) loss_contra: 0.0003 (0.0052) time: 2.5567 data: 0.0181 max mem: 31671 Epoch: [11] [ 100/5278] eta: 3:40:36 lr: 3.7412455012189026e-05 loss: 0.0813 (0.0946) loss_seg: 0.0873 (0.1028) loss_lansim: 0.1078 (0.1090) loss_contra: 0.0003 (0.0048) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [11] [ 110/5278] eta: 3:39:53 lr: 3.741025371123137e-05 loss: 0.0813 (0.1017) loss_seg: 0.0832 (0.1104) loss_lansim: 0.1083 (0.1085) loss_contra: 0.0004 (0.0078) time: 2.5359 data: 0.0025 max mem: 31671 Epoch: [11] [ 120/5278] eta: 3:38:59 lr: 3.7408052395881475e-05 loss: 0.0829 (0.1012) loss_seg: 0.0864 (0.1096) loss_lansim: 0.1078 (0.1080) loss_contra: 0.0003 (0.0074) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [11] [ 130/5278] eta: 3:38:24 lr: 3.7405851066138304e-05 loss: 0.0841 (0.1005) loss_seg: 0.0895 (0.1086) loss_lansim: 0.1070 (0.1081) loss_contra: 0.0003 (0.0079) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [11] [ 140/5278] eta: 3:37:32 lr: 3.740364972200082e-05 loss: 0.0842 (0.1005) loss_seg: 0.0911 (0.1087) loss_lansim: 0.1063 (0.1084) loss_contra: 0.0004 (0.0075) time: 2.5070 data: 0.0025 max mem: 31671 Epoch: [11] [ 150/5278] eta: 3:37:20 lr: 3.740144836346798e-05 loss: 0.0842 (0.1000) loss_seg: 0.0911 (0.1083) loss_lansim: 0.1055 (0.1082) loss_contra: 0.0004 (0.0085) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [11] [ 160/5278] eta: 3:36:57 lr: 3.739924699053876e-05 loss: 0.0839 (0.0991) loss_seg: 0.0895 (0.1073) loss_lansim: 0.1049 (0.1077) loss_contra: 0.0004 (0.0087) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [11] [ 170/5278] eta: 3:36:27 lr: 3.739704560321211e-05 loss: 0.0842 (0.1017) loss_seg: 0.0905 (0.1103) loss_lansim: 0.1049 (0.1079) loss_contra: 0.0005 (0.0083) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [11] [ 180/5278] eta: 3:36:16 lr: 3.7394844201487004e-05 loss: 0.0865 (0.1022) loss_seg: 0.0932 (0.1110) loss_lansim: 0.1049 (0.1078) loss_contra: 0.0005 (0.0083) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [11] [ 190/5278] eta: 3:35:39 lr: 3.739264278536241e-05 loss: 0.0875 (0.1039) loss_seg: 0.0932 (0.1130) loss_lansim: 0.1049 (0.1074) loss_contra: 0.0005 (0.0080) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [11] [ 200/5278] eta: 3:35:19 lr: 3.739044135483729e-05 loss: 0.0861 (0.1037) loss_seg: 0.0931 (0.1128) loss_lansim: 0.1049 (0.1072) loss_contra: 0.0004 (0.0076) time: 2.5322 data: 0.0025 max mem: 31671 Epoch: [11] [ 210/5278] eta: 3:34:50 lr: 3.73882399099106e-05 loss: 0.0897 (0.1052) loss_seg: 0.0953 (0.1144) loss_lansim: 0.1050 (0.1077) loss_contra: 0.0003 (0.0076) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [11] [ 220/5278] eta: 3:34:24 lr: 3.7386038450581306e-05 loss: 0.0897 (0.1041) loss_seg: 0.0953 (0.1131) loss_lansim: 0.1051 (0.1077) loss_contra: 0.0003 (0.0091) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [11] [ 230/5278] eta: 3:34:13 lr: 3.738383697684838e-05 loss: 0.0905 (0.1039) loss_seg: 0.0995 (0.1129) loss_lansim: 0.1050 (0.1077) loss_contra: 0.0004 (0.0093) time: 2.5474 data: 0.0025 max mem: 31671 Epoch: [11] [ 240/5278] eta: 3:33:48 lr: 3.738163548871077e-05 loss: 0.0910 (0.1038) loss_seg: 0.0995 (0.1128) loss_lansim: 0.1050 (0.1079) loss_contra: 0.0003 (0.0094) time: 2.5548 data: 0.0025 max mem: 31671 Epoch: [11] [ 250/5278] eta: 3:33:19 lr: 3.7379433986167454e-05 loss: 0.0898 (0.1043) loss_seg: 0.0953 (0.1129) loss_lansim: 0.1057 (0.1081) loss_contra: 0.0003 (0.0091) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [11] [ 260/5278] eta: 3:32:54 lr: 3.7377232469217384e-05 loss: 0.0916 (0.1043) loss_seg: 0.0992 (0.1130) loss_lansim: 0.1072 (0.1081) loss_contra: 0.0003 (0.0113) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [11] [ 270/5278] eta: 3:32:14 lr: 3.737503093785952e-05 loss: 0.0876 (0.1028) loss_seg: 0.0917 (0.1114) loss_lansim: 0.1062 (0.1077) loss_contra: 0.0003 (0.0110) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [11] [ 280/5278] eta: 3:31:41 lr: 3.7372829392092854e-05 loss: 0.0861 (0.1021) loss_seg: 0.0908 (0.1106) loss_lansim: 0.1043 (0.1075) loss_contra: 0.0004 (0.0111) time: 2.5339 data: 0.0026 max mem: 31671 Epoch: [11] [ 290/5278] eta: 3:31:17 lr: 3.737062783191631e-05 loss: 0.0876 (0.1025) loss_seg: 0.0931 (0.1110) loss_lansim: 0.1057 (0.1075) loss_contra: 0.0003 (0.0108) time: 2.5383 data: 0.0026 max mem: 31671 Epoch: [11] [ 300/5278] eta: 3:30:46 lr: 3.736842625732888e-05 loss: 0.0876 (0.1022) loss_seg: 0.0917 (0.1107) loss_lansim: 0.1037 (0.1073) loss_contra: 0.0003 (0.0105) time: 2.5329 data: 0.0026 max mem: 31671 Epoch: [11] [ 310/5278] eta: 3:30:31 lr: 3.73662246683295e-05 loss: 0.0876 (0.1023) loss_seg: 0.0952 (0.1107) loss_lansim: 0.1033 (0.1071) loss_contra: 0.0003 (0.0102) time: 2.5406 data: 0.0026 max mem: 31671 Epoch: [11] [ 320/5278] eta: 3:30:10 lr: 3.7364023064917154e-05 loss: 0.0895 (0.1028) loss_seg: 0.0973 (0.1113) loss_lansim: 0.1032 (0.1072) loss_contra: 0.0003 (0.0107) time: 2.5435 data: 0.0026 max mem: 31671 Epoch: [11] [ 330/5278] eta: 3:29:39 lr: 3.736182144709079e-05 loss: 0.0904 (0.1032) loss_seg: 0.0981 (0.1118) loss_lansim: 0.1036 (0.1073) loss_contra: 0.0002 (0.0103) time: 2.5330 data: 0.0026 max mem: 31671 Epoch: [11] [ 340/5278] eta: 3:28:59 lr: 3.735961981484938e-05 loss: 0.0919 (0.1035) loss_seg: 0.0987 (0.1121) loss_lansim: 0.1032 (0.1073) loss_contra: 0.0001 (0.0101) time: 2.5227 data: 0.0026 max mem: 31671 Epoch: [11] [ 350/5278] eta: 3:28:32 lr: 3.735741816819188e-05 loss: 0.0938 (0.1037) loss_seg: 0.1001 (0.1123) loss_lansim: 0.1036 (0.1076) loss_contra: 0.0002 (0.0099) time: 2.5225 data: 0.0026 max mem: 31671 Epoch: [11] [ 360/5278] eta: 3:28:08 lr: 3.7355216507117265e-05 loss: 0.0946 (0.1045) loss_seg: 0.1021 (0.1131) loss_lansim: 0.1050 (0.1079) loss_contra: 0.0001 (0.0096) time: 2.5226 data: 0.0026 max mem: 31671 Epoch: [11] [ 370/5278] eta: 3:27:35 lr: 3.7353014831624474e-05 loss: 0.0946 (0.1038) loss_seg: 0.1029 (0.1123) loss_lansim: 0.1051 (0.1076) loss_contra: 0.0001 (0.0095) time: 2.5241 data: 0.0026 max mem: 31671 Epoch: [11] [ 380/5278] eta: 3:27:06 lr: 3.735081314171248e-05 loss: 0.0920 (0.1032) loss_seg: 0.0987 (0.1117) loss_lansim: 0.1060 (0.1077) loss_contra: 0.0001 (0.0095) time: 2.5254 data: 0.0026 max mem: 31671 Epoch: [11] [ 390/5278] eta: 3:26:42 lr: 3.734861143738024e-05 loss: 0.0887 (0.1028) loss_seg: 0.0980 (0.1113) loss_lansim: 0.1066 (0.1078) loss_contra: 0.0001 (0.0095) time: 2.5255 data: 0.0026 max mem: 31671 Epoch: [11] [ 400/5278] eta: 3:26:15 lr: 3.734640971862671e-05 loss: 0.0900 (0.1032) loss_seg: 0.0980 (0.1117) loss_lansim: 0.1076 (0.1078) loss_contra: 0.0002 (0.0093) time: 2.5269 data: 0.0026 max mem: 31671 Epoch: [11] [ 410/5278] eta: 3:25:52 lr: 3.734420798545088e-05 loss: 0.0856 (0.1023) loss_seg: 0.0939 (0.1108) loss_lansim: 0.1086 (0.1078) loss_contra: 0.0001 (0.0098) time: 2.5214 data: 0.0026 max mem: 31671 Epoch: [11] [ 420/5278] eta: 3:25:31 lr: 3.7342006237851675e-05 loss: 0.0854 (0.1021) loss_seg: 0.0925 (0.1107) loss_lansim: 0.1082 (0.1078) loss_contra: 0.0002 (0.0097) time: 2.5222 data: 0.0026 max mem: 31671 Epoch: [11] [ 430/5278] eta: 3:25:07 lr: 3.733980447582807e-05 loss: 0.0822 (0.1016) loss_seg: 0.0894 (0.1101) loss_lansim: 0.1076 (0.1078) loss_contra: 0.0001 (0.0095) time: 2.5268 data: 0.0026 max mem: 31671 Epoch: [11] [ 440/5278] eta: 3:24:36 lr: 3.7337602699379037e-05 loss: 0.0811 (0.1012) loss_seg: 0.0868 (0.1097) loss_lansim: 0.1086 (0.1078) loss_contra: 0.0002 (0.0097) time: 2.5307 data: 0.0026 max mem: 31671 Epoch: [11] [ 450/5278] eta: 3:24:05 lr: 3.733540090850351e-05 loss: 0.0811 (0.1015) loss_seg: 0.0867 (0.1100) loss_lansim: 0.1075 (0.1078) loss_contra: 0.0001 (0.0105) time: 2.5271 data: 0.0026 max mem: 31671 Epoch: [11] [ 460/5278] eta: 3:23:34 lr: 3.733319910320047e-05 loss: 0.0774 (0.1012) loss_seg: 0.0842 (0.1096) loss_lansim: 0.1061 (0.1077) loss_contra: 0.0001 (0.0106) time: 2.5202 data: 0.0026 max mem: 31671 Epoch: [11] [ 470/5278] eta: 3:23:04 lr: 3.733099728346888e-05 loss: 0.0783 (0.1013) loss_seg: 0.0858 (0.1097) loss_lansim: 0.1079 (0.1077) loss_contra: 0.0001 (0.0104) time: 2.5213 data: 0.0026 max mem: 31671 Epoch: [11] [ 480/5278] eta: 3:22:47 lr: 3.732879544930768e-05 loss: 0.0775 (0.1009) loss_seg: 0.0843 (0.1092) loss_lansim: 0.1075 (0.1077) loss_contra: 0.0001 (0.0102) time: 2.5316 data: 0.0026 max mem: 31671 Epoch: [11] [ 490/5278] eta: 3:22:33 lr: 3.732659360071585e-05 loss: 0.0795 (0.1010) loss_seg: 0.0859 (0.1092) loss_lansim: 0.1062 (0.1077) loss_contra: 0.0001 (0.0101) time: 2.5414 data: 0.0026 max mem: 31671 Epoch: [11] [ 500/5278] eta: 3:22:06 lr: 3.7324391737692324e-05 loss: 0.0795 (0.1007) loss_seg: 0.0867 (0.1089) loss_lansim: 0.1052 (0.1075) loss_contra: 0.0001 (0.0108) time: 2.5417 data: 0.0026 max mem: 31671 Epoch: [11] [ 510/5278] eta: 3:21:39 lr: 3.732218986023609e-05 loss: 0.0795 (0.1002) loss_seg: 0.0867 (0.1084) loss_lansim: 0.1037 (0.1075) loss_contra: 0.0001 (0.0113) time: 2.5386 data: 0.0026 max mem: 31671 Epoch: [11] [ 520/5278] eta: 3:21:03 lr: 3.7319987968346097e-05 loss: 0.0795 (0.1000) loss_seg: 0.0858 (0.1081) loss_lansim: 0.1041 (0.1075) loss_contra: 0.0001 (0.0121) time: 2.5231 data: 0.0026 max mem: 31671 Epoch: [11] [ 530/5278] eta: 3:20:34 lr: 3.731778606202129e-05 loss: 0.0810 (0.0999) loss_seg: 0.0891 (0.1079) loss_lansim: 0.1044 (0.1074) loss_contra: 0.0002 (0.0118) time: 2.5175 data: 0.0026 max mem: 31671 Epoch: [11] [ 540/5278] eta: 3:20:06 lr: 3.7315584141260656e-05 loss: 0.0810 (0.0997) loss_seg: 0.0891 (0.1078) loss_lansim: 0.1025 (0.1072) loss_contra: 0.0002 (0.0117) time: 2.5197 data: 0.0026 max mem: 31671 Epoch: [11] [ 550/5278] eta: 3:19:40 lr: 3.731338220606313e-05 loss: 0.0795 (0.0993) loss_seg: 0.0853 (0.1073) loss_lansim: 0.1019 (0.1072) loss_contra: 0.0002 (0.0116) time: 2.5225 data: 0.0026 max mem: 31671 Epoch: [11] [ 560/5278] eta: 3:19:20 lr: 3.731118025642767e-05 loss: 0.0812 (0.0998) loss_seg: 0.0891 (0.1079) loss_lansim: 0.1039 (0.1072) loss_contra: 0.0002 (0.0115) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [11] [ 570/5278] eta: 3:18:57 lr: 3.7308978292353264e-05 loss: 0.0812 (0.0996) loss_seg: 0.0888 (0.1077) loss_lansim: 0.1035 (0.1072) loss_contra: 0.0002 (0.0113) time: 2.5417 data: 0.0026 max mem: 31671 Epoch: [11] [ 580/5278] eta: 3:18:27 lr: 3.730677631383884e-05 loss: 0.0828 (0.0995) loss_seg: 0.0912 (0.1076) loss_lansim: 0.1028 (0.1071) loss_contra: 0.0002 (0.0111) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [11] [ 590/5278] eta: 3:17:56 lr: 3.730457432088336e-05 loss: 0.0843 (0.1005) loss_seg: 0.0912 (0.1087) loss_lansim: 0.1028 (0.1071) loss_contra: 0.0003 (0.0110) time: 2.5094 data: 0.0026 max mem: 31671 Epoch: [11] [ 600/5278] eta: 3:17:30 lr: 3.7302372313485797e-05 loss: 0.0850 (0.1009) loss_seg: 0.0929 (0.1091) loss_lansim: 0.1036 (0.1069) loss_contra: 0.0002 (0.0108) time: 2.5094 data: 0.0026 max mem: 31671 Epoch: [11] [ 610/5278] eta: 3:17:03 lr: 3.730017029164509e-05 loss: 0.0879 (0.1010) loss_seg: 0.0957 (0.1092) loss_lansim: 0.1037 (0.1071) loss_contra: 0.0002 (0.0107) time: 2.5089 data: 0.0026 max mem: 31671 Epoch: [11] [ 620/5278] eta: 3:16:32 lr: 3.729796825536021e-05 loss: 0.0882 (0.1008) loss_seg: 0.0957 (0.1090) loss_lansim: 0.1035 (0.1070) loss_contra: 0.0002 (0.0105) time: 2.5124 data: 0.0025 max mem: 31671 Epoch: [11] [ 630/5278] eta: 3:16:06 lr: 3.729576620463012e-05 loss: 0.0892 (0.1012) loss_seg: 0.0974 (0.1093) loss_lansim: 0.1035 (0.1070) loss_contra: 0.0002 (0.0105) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [11] [ 640/5278] eta: 3:15:37 lr: 3.729356413945376e-05 loss: 0.0942 (0.1015) loss_seg: 0.1006 (0.1096) loss_lansim: 0.1045 (0.1070) loss_contra: 0.0002 (0.0104) time: 2.5125 data: 0.0025 max mem: 31671 Epoch: [11] [ 650/5278] eta: 3:15:19 lr: 3.72913620598301e-05 loss: 0.0985 (0.1014) loss_seg: 0.1046 (0.1095) loss_lansim: 0.1037 (0.1069) loss_contra: 0.0002 (0.0104) time: 2.5230 data: 0.0025 max mem: 31671 Epoch: [11] [ 660/5278] eta: 3:14:53 lr: 3.7289159965758096e-05 loss: 0.0982 (0.1012) loss_seg: 0.1046 (0.1093) loss_lansim: 0.1035 (0.1068) loss_contra: 0.0002 (0.0103) time: 2.5164 data: 0.0025 max mem: 31671 Epoch: [11] [ 670/5278] eta: 3:14:28 lr: 3.7286957857236706e-05 loss: 0.0985 (0.1016) loss_seg: 0.1063 (0.1098) loss_lansim: 0.1033 (0.1068) loss_contra: 0.0002 (0.0102) time: 2.5129 data: 0.0025 max mem: 31671 Epoch: [11] [ 680/5278] eta: 3:14:04 lr: 3.728475573426488e-05 loss: 0.0985 (0.1015) loss_seg: 0.1051 (0.1096) loss_lansim: 0.1025 (0.1067) loss_contra: 0.0002 (0.0101) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [11] [ 690/5278] eta: 3:13:40 lr: 3.728255359684157e-05 loss: 0.0943 (0.1016) loss_seg: 0.1030 (0.1098) loss_lansim: 0.1025 (0.1067) loss_contra: 0.0002 (0.0100) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [11] [ 700/5278] eta: 3:13:19 lr: 3.728035144496576e-05 loss: 0.0927 (0.1014) loss_seg: 0.1020 (0.1096) loss_lansim: 0.1016 (0.1066) loss_contra: 0.0002 (0.0100) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [11] [ 710/5278] eta: 3:12:52 lr: 3.727814927863638e-05 loss: 0.0927 (0.1012) loss_seg: 0.1020 (0.1094) loss_lansim: 0.1015 (0.1067) loss_contra: 0.0002 (0.0099) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [11] [ 720/5278] eta: 3:12:23 lr: 3.727594709785239e-05 loss: 0.0927 (0.1012) loss_seg: 0.1020 (0.1094) loss_lansim: 0.1012 (0.1066) loss_contra: 0.0002 (0.0098) time: 2.5380 data: 0.0026 max mem: 31671 Epoch: [11] [ 730/5278] eta: 3:11:57 lr: 3.7273744902612765e-05 loss: 0.0878 (0.1011) loss_seg: 0.0973 (0.1093) loss_lansim: 0.1015 (0.1066) loss_contra: 0.0002 (0.0097) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [11] [ 740/5278] eta: 3:11:39 lr: 3.7271542692916426e-05 loss: 0.0854 (0.1012) loss_seg: 0.0943 (0.1094) loss_lansim: 0.1004 (0.1065) loss_contra: 0.0002 (0.0095) time: 2.5544 data: 0.0026 max mem: 31671 Epoch: [11] [ 750/5278] eta: 3:11:17 lr: 3.726934046876237e-05 loss: 0.0823 (0.1012) loss_seg: 0.0901 (0.1094) loss_lansim: 0.1016 (0.1065) loss_contra: 0.0002 (0.0095) time: 2.5509 data: 0.0026 max mem: 31671 Epoch: [11] [ 760/5278] eta: 3:10:54 lr: 3.726713823014952e-05 loss: 0.0823 (0.1011) loss_seg: 0.0901 (0.1094) loss_lansim: 0.1016 (0.1065) loss_contra: 0.0002 (0.0096) time: 2.5548 data: 0.0025 max mem: 31671 Epoch: [11] [ 770/5278] eta: 3:10:28 lr: 3.726493597707685e-05 loss: 0.0838 (0.1012) loss_seg: 0.0921 (0.1094) loss_lansim: 0.1018 (0.1064) loss_contra: 0.0002 (0.0095) time: 2.5549 data: 0.0026 max mem: 31671 Epoch: [11] [ 780/5278] eta: 3:10:00 lr: 3.726273370954331e-05 loss: 0.0829 (0.1009) loss_seg: 0.0915 (0.1092) loss_lansim: 0.1010 (0.1063) loss_contra: 0.0002 (0.0094) time: 2.5482 data: 0.0026 max mem: 31671 Epoch: [11] [ 790/5278] eta: 3:09:35 lr: 3.7260531427547854e-05 loss: 0.0803 (0.1007) loss_seg: 0.0884 (0.1089) loss_lansim: 0.1004 (0.1062) loss_contra: 0.0001 (0.0093) time: 2.5474 data: 0.0026 max mem: 31671 Epoch: [11] [ 800/5278] eta: 3:09:15 lr: 3.725832913108944e-05 loss: 0.0838 (0.1005) loss_seg: 0.0927 (0.1087) loss_lansim: 0.1018 (0.1062) loss_contra: 0.0001 (0.0092) time: 2.5511 data: 0.0026 max mem: 31671 Epoch: [11] [ 810/5278] eta: 3:08:46 lr: 3.725612682016703e-05 loss: 0.0838 (0.1005) loss_seg: 0.0927 (0.1087) loss_lansim: 0.1016 (0.1061) loss_contra: 0.0001 (0.0091) time: 2.5471 data: 0.0026 max mem: 31671 Epoch: [11] [ 820/5278] eta: 3:08:16 lr: 3.7253924494779556e-05 loss: 0.0838 (0.1002) loss_seg: 0.0927 (0.1083) loss_lansim: 0.1018 (0.1060) loss_contra: 0.0001 (0.0090) time: 2.5445 data: 0.0026 max mem: 31671 Epoch: [11] [ 830/5278] eta: 3:07:53 lr: 3.7251722154926e-05 loss: 0.0850 (0.1007) loss_seg: 0.0927 (0.1089) loss_lansim: 0.1018 (0.1060) loss_contra: 0.0001 (0.0090) time: 2.5482 data: 0.0026 max mem: 31671 Epoch: [11] [ 840/5278] eta: 3:07:30 lr: 3.72495198006053e-05 loss: 0.0850 (0.1008) loss_seg: 0.0927 (0.1091) loss_lansim: 0.1029 (0.1061) loss_contra: 0.0001 (0.0091) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [11] [ 850/5278] eta: 3:07:03 lr: 3.724731743181641e-05 loss: 0.0850 (0.1007) loss_seg: 0.0921 (0.1089) loss_lansim: 0.1029 (0.1060) loss_contra: 0.0001 (0.0091) time: 2.5334 data: 0.0026 max mem: 31671 Epoch: [11] [ 860/5278] eta: 3:06:41 lr: 3.7245115048558306e-05 loss: 0.0835 (0.1005) loss_seg: 0.0901 (0.1087) loss_lansim: 0.1029 (0.1060) loss_contra: 0.0001 (0.0090) time: 2.5371 data: 0.0026 max mem: 31671 Epoch: [11] [ 870/5278] eta: 3:06:16 lr: 3.724291265082991e-05 loss: 0.0819 (0.1005) loss_seg: 0.0889 (0.1087) loss_lansim: 0.1031 (0.1061) loss_contra: 0.0001 (0.0089) time: 2.5372 data: 0.0026 max mem: 31671 Epoch: [11] [ 880/5278] eta: 3:05:50 lr: 3.72407102386302e-05 loss: 0.0838 (0.1009) loss_seg: 0.0896 (0.1091) loss_lansim: 0.1035 (0.1061) loss_contra: 0.0001 (0.0088) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [11] [ 890/5278] eta: 3:05:28 lr: 3.7238507811958124e-05 loss: 0.0866 (0.1008) loss_seg: 0.0927 (0.1091) loss_lansim: 0.1069 (0.1062) loss_contra: 0.0002 (0.0087) time: 2.5476 data: 0.0026 max mem: 31671 Epoch: [11] [ 900/5278] eta: 3:05:00 lr: 3.723630537081262e-05 loss: 0.0864 (0.1007) loss_seg: 0.0901 (0.1089) loss_lansim: 0.1082 (0.1063) loss_contra: 0.0002 (0.0086) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [11] [ 910/5278] eta: 3:04:36 lr: 3.723410291519267e-05 loss: 0.0900 (0.1007) loss_seg: 0.0954 (0.1089) loss_lansim: 0.1094 (0.1064) loss_contra: 0.0002 (0.0087) time: 2.5411 data: 0.0026 max mem: 31671 Epoch: [11] [ 920/5278] eta: 3:04:12 lr: 3.7231900445097205e-05 loss: 0.0900 (0.1005) loss_seg: 0.0957 (0.1087) loss_lansim: 0.1100 (0.1065) loss_contra: 0.0001 (0.0086) time: 2.5539 data: 0.0026 max mem: 31671 Epoch: [11] [ 930/5278] eta: 3:03:47 lr: 3.722969796052519e-05 loss: 0.0892 (0.1005) loss_seg: 0.0960 (0.1087) loss_lansim: 0.1100 (0.1065) loss_contra: 0.0001 (0.0085) time: 2.5508 data: 0.0027 max mem: 31671 Epoch: [11] [ 940/5278] eta: 3:03:26 lr: 3.722749546147557e-05 loss: 0.0892 (0.1006) loss_seg: 0.0969 (0.1088) loss_lansim: 0.1094 (0.1066) loss_contra: 0.0001 (0.0085) time: 2.5552 data: 0.0027 max mem: 31671 Epoch: [11] [ 950/5278] eta: 3:03:01 lr: 3.72252929479473e-05 loss: 0.0981 (0.1008) loss_seg: 0.1037 (0.1091) loss_lansim: 0.1111 (0.1068) loss_contra: 0.0001 (0.0084) time: 2.5602 data: 0.0027 max mem: 31671 Epoch: [11] [ 960/5278] eta: 3:02:37 lr: 3.722309041993935e-05 loss: 0.0981 (0.1013) loss_seg: 0.1051 (0.1095) loss_lansim: 0.1125 (0.1069) loss_contra: 0.0001 (0.0085) time: 2.5571 data: 0.0026 max mem: 31671 Epoch: [11] [ 970/5278] eta: 3:02:10 lr: 3.722088787745065e-05 loss: 0.1019 (0.1013) loss_seg: 0.1072 (0.1095) loss_lansim: 0.1120 (0.1069) loss_contra: 0.0002 (0.0084) time: 2.5525 data: 0.0026 max mem: 31671 Epoch: [11] [ 980/5278] eta: 3:01:44 lr: 3.721868532048016e-05 loss: 0.1014 (0.1014) loss_seg: 0.1069 (0.1096) loss_lansim: 0.1120 (0.1070) loss_contra: 0.0001 (0.0084) time: 2.5517 data: 0.0026 max mem: 31671 Epoch: [11] [ 990/5278] eta: 3:01:19 lr: 3.721648274902684e-05 loss: 0.0965 (0.1013) loss_seg: 0.1035 (0.1094) loss_lansim: 0.1128 (0.1072) loss_contra: 0.0001 (0.0083) time: 2.5468 data: 0.0026 max mem: 31671 Epoch: [11] [1000/5278] eta: 3:00:52 lr: 3.7214280163089634e-05 loss: 0.0937 (0.1012) loss_seg: 0.1034 (0.1094) loss_lansim: 0.1120 (0.1072) loss_contra: 0.0001 (0.0083) time: 2.5492 data: 0.0026 max mem: 31671 Epoch: [11] [1010/5278] eta: 3:00:26 lr: 3.721207756266749e-05 loss: 0.0927 (0.1011) loss_seg: 0.0969 (0.1093) loss_lansim: 0.1121 (0.1073) loss_contra: 0.0002 (0.0084) time: 2.5452 data: 0.0027 max mem: 31671 Epoch: [11] [1020/5278] eta: 3:00:01 lr: 3.7209874947759374e-05 loss: 0.0981 (0.1016) loss_seg: 0.1035 (0.1098) loss_lansim: 0.1137 (0.1075) loss_contra: 0.0002 (0.0083) time: 2.5419 data: 0.0027 max mem: 31671 Epoch: [11] [1030/5278] eta: 2:59:39 lr: 3.720767231836422e-05 loss: 0.0943 (0.1015) loss_seg: 0.1005 (0.1096) loss_lansim: 0.1130 (0.1074) loss_contra: 0.0002 (0.0086) time: 2.5494 data: 0.0026 max mem: 31671 Epoch: [11] [1040/5278] eta: 2:59:10 lr: 3.7205469674481e-05 loss: 0.0959 (0.1023) loss_seg: 0.1034 (0.1105) loss_lansim: 0.1134 (0.1075) loss_contra: 0.0002 (0.0086) time: 2.5303 data: 0.0026 max mem: 31671 Epoch: [11] [1050/5278] eta: 2:58:42 lr: 3.7203267016108656e-05 loss: 0.0927 (0.1022) loss_seg: 0.0954 (0.1103) loss_lansim: 0.1128 (0.1076) loss_contra: 0.0003 (0.0090) time: 2.5245 data: 0.0027 max mem: 31671 Epoch: [11] [1060/5278] eta: 2:58:17 lr: 3.7201064343246136e-05 loss: 0.0933 (0.1021) loss_seg: 0.0944 (0.1102) loss_lansim: 0.1121 (0.1076) loss_contra: 0.0002 (0.0090) time: 2.5207 data: 0.0027 max mem: 31671 Epoch: [11] [1070/5278] eta: 2:57:53 lr: 3.71988616558924e-05 loss: 0.0936 (0.1021) loss_seg: 0.0944 (0.1101) loss_lansim: 0.1130 (0.1078) loss_contra: 0.0002 (0.0090) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [11] [1080/5278] eta: 2:57:31 lr: 3.7196658954046386e-05 loss: 0.0940 (0.1029) loss_seg: 0.0955 (0.1111) loss_lansim: 0.1132 (0.1079) loss_contra: 0.0003 (0.0090) time: 2.5395 data: 0.0026 max mem: 31671 Epoch: [11] [1090/5278] eta: 2:57:05 lr: 3.719445623770706e-05 loss: 0.0960 (0.1033) loss_seg: 0.1045 (0.1115) loss_lansim: 0.1130 (0.1080) loss_contra: 0.0003 (0.0091) time: 2.5374 data: 0.0026 max mem: 31671 Epoch: [11] [1100/5278] eta: 2:56:44 lr: 3.719225350687336e-05 loss: 0.1021 (0.1036) loss_seg: 0.1067 (0.1118) loss_lansim: 0.1146 (0.1081) loss_contra: 0.0003 (0.0101) time: 2.5507 data: 0.0026 max mem: 31671 Epoch: [11] [1110/5278] eta: 2:56:18 lr: 3.719005076154425e-05 loss: 0.1031 (0.1036) loss_seg: 0.1130 (0.1118) loss_lansim: 0.1157 (0.1082) loss_contra: 0.0003 (0.0100) time: 2.5512 data: 0.0026 max mem: 31671 Epoch: [11] [1120/5278] eta: 2:55:53 lr: 3.718784800171867e-05 loss: 0.0973 (0.1037) loss_seg: 0.1065 (0.1119) loss_lansim: 0.1147 (0.1083) loss_contra: 0.0002 (0.0103) time: 2.5523 data: 0.0026 max mem: 31671 Epoch: [11] [1130/5278] eta: 2:55:29 lr: 3.718564522739557e-05 loss: 0.0973 (0.1036) loss_seg: 0.1064 (0.1118) loss_lansim: 0.1163 (0.1084) loss_contra: 0.0002 (0.0102) time: 2.5493 data: 0.0026 max mem: 31671 Epoch: [11] [1140/5278] eta: 2:55:02 lr: 3.718344243857391e-05 loss: 0.0960 (0.1034) loss_seg: 0.1041 (0.1116) loss_lansim: 0.1167 (0.1085) loss_contra: 0.0002 (0.0108) time: 2.5521 data: 0.0026 max mem: 31671 Epoch: [11] [1150/5278] eta: 2:54:36 lr: 3.7181239635252636e-05 loss: 0.0961 (0.1033) loss_seg: 0.1042 (0.1114) loss_lansim: 0.1163 (0.1085) loss_contra: 0.0003 (0.0110) time: 2.5584 data: 0.0026 max mem: 31671 Epoch: [11] [1160/5278] eta: 2:54:12 lr: 3.717903681743069e-05 loss: 0.0979 (0.1040) loss_seg: 0.1067 (0.1123) loss_lansim: 0.1163 (0.1086) loss_contra: 0.0003 (0.0110) time: 2.5597 data: 0.0026 max mem: 31671 Epoch: [11] [1170/5278] eta: 2:53:47 lr: 3.717683398510703e-05 loss: 0.1007 (0.1043) loss_seg: 0.1069 (0.1125) loss_lansim: 0.1161 (0.1086) loss_contra: 0.0003 (0.0109) time: 2.5591 data: 0.0027 max mem: 31671 Epoch: [11] [1180/5278] eta: 2:53:23 lr: 3.717463113828061e-05 loss: 0.0973 (0.1041) loss_seg: 0.1064 (0.1124) loss_lansim: 0.1158 (0.1086) loss_contra: 0.0003 (0.0111) time: 2.5530 data: 0.0027 max mem: 31671 Epoch: [11] [1190/5278] eta: 2:52:59 lr: 3.7172428276950365e-05 loss: 0.0973 (0.1042) loss_seg: 0.1061 (0.1124) loss_lansim: 0.1146 (0.1086) loss_contra: 0.0004 (0.0111) time: 2.5597 data: 0.0027 max mem: 31671 Epoch: [11] [1200/5278] eta: 2:52:33 lr: 3.7170225401115265e-05 loss: 0.0969 (0.1044) loss_seg: 0.1050 (0.1127) loss_lansim: 0.1143 (0.1087) loss_contra: 0.0006 (0.0113) time: 2.5485 data: 0.0027 max mem: 31671 Epoch: [11] [1210/5278] eta: 2:52:07 lr: 3.7168022510774244e-05 loss: 0.0965 (0.1045) loss_seg: 0.1044 (0.1127) loss_lansim: 0.1131 (0.1087) loss_contra: 0.0006 (0.0113) time: 2.5456 data: 0.0026 max mem: 31671 Epoch: [11] [1220/5278] eta: 2:51:41 lr: 3.7165819605926246e-05 loss: 0.0960 (0.1045) loss_seg: 0.1018 (0.1127) loss_lansim: 0.1120 (0.1087) loss_contra: 0.0006 (0.0113) time: 2.5418 data: 0.0026 max mem: 31671 Epoch: [11] [1230/5278] eta: 2:51:13 lr: 3.716361668657024e-05 loss: 0.0964 (0.1044) loss_seg: 0.1018 (0.1126) loss_lansim: 0.1110 (0.1087) loss_contra: 0.0010 (0.0112) time: 2.5309 data: 0.0026 max mem: 31671 Epoch: [11] [1240/5278] eta: 2:50:47 lr: 3.716141375270515e-05 loss: 0.0974 (0.1046) loss_seg: 0.1044 (0.1129) loss_lansim: 0.1101 (0.1087) loss_contra: 0.0007 (0.0112) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [11] [1250/5278] eta: 2:50:21 lr: 3.715921080432995e-05 loss: 0.0956 (0.1044) loss_seg: 0.1010 (0.1127) loss_lansim: 0.1090 (0.1088) loss_contra: 0.0006 (0.0111) time: 2.5342 data: 0.0026 max mem: 31671 Epoch: [11] [1260/5278] eta: 2:49:52 lr: 3.715700784144358e-05 loss: 0.0880 (0.1045) loss_seg: 0.0972 (0.1128) loss_lansim: 0.1087 (0.1088) loss_contra: 0.0006 (0.0110) time: 2.5209 data: 0.0026 max mem: 31671 Epoch: [11] [1270/5278] eta: 2:49:25 lr: 3.715480486404498e-05 loss: 0.0877 (0.1045) loss_seg: 0.0945 (0.1128) loss_lansim: 0.1101 (0.1088) loss_contra: 0.0006 (0.0110) time: 2.5107 data: 0.0026 max mem: 31671 Epoch: [11] [1280/5278] eta: 2:48:57 lr: 3.7152601872133105e-05 loss: 0.0880 (0.1047) loss_seg: 0.0974 (0.1129) loss_lansim: 0.1110 (0.1089) loss_contra: 0.0006 (0.0113) time: 2.5007 data: 0.0025 max mem: 31671 Epoch: [11] [1290/5278] eta: 2:48:32 lr: 3.7150398865706904e-05 loss: 0.0880 (0.1047) loss_seg: 0.0960 (0.1129) loss_lansim: 0.1117 (0.1090) loss_contra: 0.0007 (0.0113) time: 2.4946 data: 0.0025 max mem: 31671 Epoch: [11] [1300/5278] eta: 2:48:04 lr: 3.714819584476532e-05 loss: 0.0844 (0.1046) loss_seg: 0.0930 (0.1128) loss_lansim: 0.1113 (0.1090) loss_contra: 0.0007 (0.0113) time: 2.4870 data: 0.0025 max mem: 31671 Epoch: [11] [1310/5278] eta: 2:47:41 lr: 3.714599280930731e-05 loss: 0.0880 (0.1046) loss_seg: 0.0974 (0.1128) loss_lansim: 0.1117 (0.1091) loss_contra: 0.0007 (0.0112) time: 2.4996 data: 0.0026 max mem: 31671 Epoch: [11] [1320/5278] eta: 2:47:17 lr: 3.714378975933181e-05 loss: 0.0937 (0.1046) loss_seg: 0.0974 (0.1128) loss_lansim: 0.1132 (0.1091) loss_contra: 0.0007 (0.0114) time: 2.5052 data: 0.0026 max mem: 31671 Epoch: [11] [1330/5278] eta: 2:46:49 lr: 3.7141586694837775e-05 loss: 0.0926 (0.1045) loss_seg: 0.1018 (0.1127) loss_lansim: 0.1132 (0.1091) loss_contra: 0.0006 (0.0114) time: 2.5047 data: 0.0026 max mem: 31671 Epoch: [11] [1340/5278] eta: 2:46:26 lr: 3.713938361582415e-05 loss: 0.0880 (0.1044) loss_seg: 0.0974 (0.1126) loss_lansim: 0.1113 (0.1091) loss_contra: 0.0007 (0.0113) time: 2.5124 data: 0.0026 max mem: 31671 Epoch: [11] [1350/5278] eta: 2:46:00 lr: 3.7137180522289886e-05 loss: 0.0926 (0.1048) loss_seg: 0.1018 (0.1131) loss_lansim: 0.1115 (0.1091) loss_contra: 0.0005 (0.0112) time: 2.5104 data: 0.0026 max mem: 31671 Epoch: [11] [1360/5278] eta: 2:45:35 lr: 3.7134977414233934e-05 loss: 0.0934 (0.1050) loss_seg: 0.1026 (0.1133) loss_lansim: 0.1119 (0.1092) loss_contra: 0.0006 (0.0112) time: 2.5245 data: 0.0026 max mem: 31671 Epoch: [11] [1370/5278] eta: 2:45:09 lr: 3.713277429165522e-05 loss: 0.0926 (0.1051) loss_seg: 0.1019 (0.1133) loss_lansim: 0.1113 (0.1092) loss_contra: 0.0005 (0.0111) time: 2.5268 data: 0.0026 max mem: 31671 Epoch: [11] [1380/5278] eta: 2:44:41 lr: 3.7130571154552715e-05 loss: 0.0934 (0.1050) loss_seg: 0.1019 (0.1132) loss_lansim: 0.1113 (0.1092) loss_contra: 0.0006 (0.0111) time: 2.5263 data: 0.0026 max mem: 31671 Epoch: [11] [1390/5278] eta: 2:44:16 lr: 3.7128368002925355e-05 loss: 0.0898 (0.1048) loss_seg: 0.0969 (0.1130) loss_lansim: 0.1107 (0.1092) loss_contra: 0.0004 (0.0110) time: 2.5292 data: 0.0026 max mem: 31671 Epoch: [11] [1400/5278] eta: 2:43:50 lr: 3.7126164836772084e-05 loss: 0.0910 (0.1048) loss_seg: 0.0987 (0.1130) loss_lansim: 0.1105 (0.1092) loss_contra: 0.0003 (0.0110) time: 2.5338 data: 0.0026 max mem: 31671 Epoch: [11] [1410/5278] eta: 2:43:25 lr: 3.712396165609186e-05 loss: 0.0874 (0.1046) loss_seg: 0.0936 (0.1128) loss_lansim: 0.1102 (0.1093) loss_contra: 0.0003 (0.0110) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [11] [1420/5278] eta: 2:43:01 lr: 3.7121758460883616e-05 loss: 0.0874 (0.1045) loss_seg: 0.0938 (0.1126) loss_lansim: 0.1082 (0.1093) loss_contra: 0.0003 (0.0109) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [11] [1430/5278] eta: 2:42:36 lr: 3.71195552511463e-05 loss: 0.0869 (0.1045) loss_seg: 0.0938 (0.1126) loss_lansim: 0.1084 (0.1093) loss_contra: 0.0003 (0.0109) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [11] [1440/5278] eta: 2:42:12 lr: 3.711735202687886e-05 loss: 0.0869 (0.1044) loss_seg: 0.0938 (0.1126) loss_lansim: 0.1107 (0.1094) loss_contra: 0.0003 (0.0117) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [11] [1450/5278] eta: 2:41:45 lr: 3.711514878808025e-05 loss: 0.0869 (0.1045) loss_seg: 0.0936 (0.1127) loss_lansim: 0.1128 (0.1096) loss_contra: 0.0004 (0.0117) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [11] [1460/5278] eta: 2:41:19 lr: 3.711294553474941e-05 loss: 0.0847 (0.1045) loss_seg: 0.0933 (0.1127) loss_lansim: 0.1139 (0.1097) loss_contra: 0.0004 (0.0123) time: 2.5267 data: 0.0026 max mem: 31671 Epoch: [11] [1470/5278] eta: 2:40:53 lr: 3.711074226688529e-05 loss: 0.0869 (0.1045) loss_seg: 0.0933 (0.1126) loss_lansim: 0.1170 (0.1100) loss_contra: 0.0005 (0.0127) time: 2.5266 data: 0.0026 max mem: 31671 Epoch: [11] [1480/5278] eta: 2:40:27 lr: 3.7108538984486814e-05 loss: 0.0839 (0.1044) loss_seg: 0.0920 (0.1125) loss_lansim: 0.1193 (0.1101) loss_contra: 0.0005 (0.0126) time: 2.5327 data: 0.0026 max mem: 31671 Epoch: [11] [1490/5278] eta: 2:40:01 lr: 3.710633568755295e-05 loss: 0.0839 (0.1045) loss_seg: 0.0920 (0.1126) loss_lansim: 0.1198 (0.1102) loss_contra: 0.0006 (0.0126) time: 2.5306 data: 0.0026 max mem: 31671 Epoch: [11] [1500/5278] eta: 2:39:35 lr: 3.710413237608264e-05 loss: 0.0842 (0.1046) loss_seg: 0.0920 (0.1127) loss_lansim: 0.1217 (0.1104) loss_contra: 0.0010 (0.0126) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [11] [1510/5278] eta: 2:39:09 lr: 3.710192905007482e-05 loss: 0.0930 (0.1049) loss_seg: 0.0992 (0.1130) loss_lansim: 0.1241 (0.1105) loss_contra: 0.0010 (0.0125) time: 2.5257 data: 0.0025 max mem: 31671 Epoch: [11] [1520/5278] eta: 2:38:45 lr: 3.7099725709528446e-05 loss: 0.0952 (0.1048) loss_seg: 0.1029 (0.1130) loss_lansim: 0.1242 (0.1106) loss_contra: 0.0011 (0.0124) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [11] [1530/5278] eta: 2:38:18 lr: 3.709752235444245e-05 loss: 0.0943 (0.1049) loss_seg: 0.1029 (0.1130) loss_lansim: 0.1242 (0.1107) loss_contra: 0.0010 (0.0123) time: 2.5180 data: 0.0026 max mem: 31671 Epoch: [11] [1540/5278] eta: 2:37:52 lr: 3.709531898481579e-05 loss: 0.0960 (0.1051) loss_seg: 0.1029 (0.1133) loss_lansim: 0.1245 (0.1108) loss_contra: 0.0009 (0.0123) time: 2.5080 data: 0.0026 max mem: 31671 Epoch: [11] [1550/5278] eta: 2:37:26 lr: 3.70931156006474e-05 loss: 0.0930 (0.1050) loss_seg: 0.0991 (0.1131) loss_lansim: 0.1234 (0.1108) loss_contra: 0.0009 (0.0124) time: 2.5146 data: 0.0026 max mem: 31671 Epoch: [11] [1560/5278] eta: 2:37:01 lr: 3.7090912201936226e-05 loss: 0.0896 (0.1049) loss_seg: 0.0965 (0.1131) loss_lansim: 0.1226 (0.1108) loss_contra: 0.0009 (0.0123) time: 2.5152 data: 0.0026 max mem: 31671 Epoch: [11] [1570/5278] eta: 2:36:35 lr: 3.7088708788681225e-05 loss: 0.0874 (0.1048) loss_seg: 0.0964 (0.1130) loss_lansim: 0.1214 (0.1109) loss_contra: 0.0006 (0.0124) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [11] [1580/5278] eta: 2:36:10 lr: 3.708650536088132e-05 loss: 0.0881 (0.1047) loss_seg: 0.0964 (0.1128) loss_lansim: 0.1198 (0.1109) loss_contra: 0.0007 (0.0124) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [11] [1590/5278] eta: 2:35:46 lr: 3.708430191853547e-05 loss: 0.0890 (0.1048) loss_seg: 0.0965 (0.1129) loss_lansim: 0.1198 (0.1110) loss_contra: 0.0007 (0.0125) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [11] [1600/5278] eta: 2:35:21 lr: 3.708209846164261e-05 loss: 0.0881 (0.1048) loss_seg: 0.0964 (0.1130) loss_lansim: 0.1179 (0.1109) loss_contra: 0.0006 (0.0125) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [11] [1610/5278] eta: 2:34:56 lr: 3.707989499020168e-05 loss: 0.0861 (0.1048) loss_seg: 0.0925 (0.1129) loss_lansim: 0.1153 (0.1110) loss_contra: 0.0005 (0.0124) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [11] [1620/5278] eta: 2:34:31 lr: 3.7077691504211643e-05 loss: 0.0872 (0.1050) loss_seg: 0.0954 (0.1132) loss_lansim: 0.1157 (0.1111) loss_contra: 0.0006 (0.0123) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [11] [1630/5278] eta: 2:34:04 lr: 3.707548800367143e-05 loss: 0.0866 (0.1051) loss_seg: 0.0935 (0.1132) loss_lansim: 0.1157 (0.1111) loss_contra: 0.0006 (0.0124) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [11] [1640/5278] eta: 2:33:37 lr: 3.7073284488579974e-05 loss: 0.0940 (0.1052) loss_seg: 0.0967 (0.1134) loss_lansim: 0.1157 (0.1112) loss_contra: 0.0006 (0.0124) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [11] [1650/5278] eta: 2:33:11 lr: 3.7071080958936235e-05 loss: 0.1001 (0.1052) loss_seg: 0.1078 (0.1134) loss_lansim: 0.1163 (0.1112) loss_contra: 0.0005 (0.0123) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [11] [1660/5278] eta: 2:32:46 lr: 3.706887741473914e-05 loss: 0.1017 (0.1052) loss_seg: 0.1127 (0.1133) loss_lansim: 0.1159 (0.1113) loss_contra: 0.0003 (0.0123) time: 2.5301 data: 0.0024 max mem: 31671 Epoch: [11] [1670/5278] eta: 2:32:22 lr: 3.7066673855987646e-05 loss: 0.1017 (0.1050) loss_seg: 0.1126 (0.1131) loss_lansim: 0.1163 (0.1113) loss_contra: 0.0003 (0.0123) time: 2.5361 data: 0.0024 max mem: 31671 Epoch: [11] [1680/5278] eta: 2:31:56 lr: 3.706447028268069e-05 loss: 0.1069 (0.1050) loss_seg: 0.1146 (0.1131) loss_lansim: 0.1168 (0.1114) loss_contra: 0.0003 (0.0126) time: 2.5291 data: 0.0024 max mem: 31671 Epoch: [11] [1690/5278] eta: 2:31:30 lr: 3.706226669481721e-05 loss: 0.1059 (0.1051) loss_seg: 0.1148 (0.1132) loss_lansim: 0.1167 (0.1115) loss_contra: 0.0002 (0.0126) time: 2.5203 data: 0.0025 max mem: 31671 Epoch: [11] [1700/5278] eta: 2:31:05 lr: 3.7060063092396156e-05 loss: 0.1072 (0.1053) loss_seg: 0.1152 (0.1134) loss_lansim: 0.1186 (0.1116) loss_contra: 0.0002 (0.0127) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [11] [1710/5278] eta: 2:30:41 lr: 3.7057859475416463e-05 loss: 0.1036 (0.1051) loss_seg: 0.1138 (0.1132) loss_lansim: 0.1180 (0.1116) loss_contra: 0.0003 (0.0127) time: 2.5268 data: 0.0025 max mem: 31671 Epoch: [11] [1720/5278] eta: 2:30:16 lr: 3.705565584387708e-05 loss: 0.0988 (0.1051) loss_seg: 0.1067 (0.1132) loss_lansim: 0.1180 (0.1116) loss_contra: 0.0002 (0.0126) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [11] [1730/5278] eta: 2:29:52 lr: 3.7053452197776944e-05 loss: 0.0987 (0.1051) loss_seg: 0.1066 (0.1132) loss_lansim: 0.1190 (0.1117) loss_contra: 0.0002 (0.0127) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [11] [1740/5278] eta: 2:29:27 lr: 3.705124853711498e-05 loss: 0.0886 (0.1049) loss_seg: 0.0962 (0.1131) loss_lansim: 0.1198 (0.1118) loss_contra: 0.0002 (0.0126) time: 2.5480 data: 0.0025 max mem: 31671 Epoch: [11] [1750/5278] eta: 2:29:02 lr: 3.7049044861890174e-05 loss: 0.0840 (0.1048) loss_seg: 0.0900 (0.1129) loss_lansim: 0.1198 (0.1118) loss_contra: 0.0002 (0.0128) time: 2.5570 data: 0.0025 max mem: 31671 Epoch: [11] [1760/5278] eta: 2:28:37 lr: 3.7046841172101426e-05 loss: 0.0814 (0.1046) loss_seg: 0.0886 (0.1127) loss_lansim: 0.1200 (0.1119) loss_contra: 0.0002 (0.0128) time: 2.5537 data: 0.0026 max mem: 31671 Epoch: [11] [1770/5278] eta: 2:28:11 lr: 3.704463746774769e-05 loss: 0.0815 (0.1046) loss_seg: 0.0889 (0.1126) loss_lansim: 0.1225 (0.1120) loss_contra: 0.0002 (0.0129) time: 2.5465 data: 0.0026 max mem: 31671 Epoch: [11] [1780/5278] eta: 2:27:46 lr: 3.704243374882791e-05 loss: 0.0815 (0.1046) loss_seg: 0.0889 (0.1127) loss_lansim: 0.1213 (0.1121) loss_contra: 0.0002 (0.0128) time: 2.5519 data: 0.0026 max mem: 31671 Epoch: [11] [1790/5278] eta: 2:27:20 lr: 3.7040230015341034e-05 loss: 0.0794 (0.1047) loss_seg: 0.0876 (0.1127) loss_lansim: 0.1198 (0.1121) loss_contra: 0.0002 (0.0128) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [11] [1800/5278] eta: 2:26:55 lr: 3.703802626728598e-05 loss: 0.0794 (0.1047) loss_seg: 0.0849 (0.1128) loss_lansim: 0.1200 (0.1122) loss_contra: 0.0002 (0.0127) time: 2.5505 data: 0.0025 max mem: 31671 Epoch: [11] [1810/5278] eta: 2:26:30 lr: 3.703582250466172e-05 loss: 0.0794 (0.1046) loss_seg: 0.0873 (0.1127) loss_lansim: 0.1213 (0.1123) loss_contra: 0.0002 (0.0126) time: 2.5485 data: 0.0025 max mem: 31671 Epoch: [11] [1820/5278] eta: 2:26:06 lr: 3.703361872746715e-05 loss: 0.0794 (0.1045) loss_seg: 0.0841 (0.1125) loss_lansim: 0.1213 (0.1123) loss_contra: 0.0003 (0.0136) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [11] [1830/5278] eta: 2:25:41 lr: 3.703141493570126e-05 loss: 0.0790 (0.1045) loss_seg: 0.0825 (0.1125) loss_lansim: 0.1232 (0.1124) loss_contra: 0.0003 (0.0139) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [11] [1840/5278] eta: 2:25:15 lr: 3.7029211129362956e-05 loss: 0.0790 (0.1045) loss_seg: 0.0801 (0.1125) loss_lansim: 0.1207 (0.1124) loss_contra: 0.0005 (0.0140) time: 2.5460 data: 0.0026 max mem: 31671 Epoch: [11] [1850/5278] eta: 2:24:50 lr: 3.70270073084512e-05 loss: 0.0790 (0.1046) loss_seg: 0.0801 (0.1126) loss_lansim: 0.1237 (0.1125) loss_contra: 0.0006 (0.0140) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [11] [1860/5278] eta: 2:24:24 lr: 3.702480347296491e-05 loss: 0.0794 (0.1047) loss_seg: 0.0865 (0.1128) loss_lansim: 0.1237 (0.1126) loss_contra: 0.0006 (0.0140) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [11] [1870/5278] eta: 2:24:00 lr: 3.702259962290304e-05 loss: 0.0794 (0.1047) loss_seg: 0.0849 (0.1127) loss_lansim: 0.1207 (0.1127) loss_contra: 0.0006 (0.0139) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [11] [1880/5278] eta: 2:23:35 lr: 3.7020395758264526e-05 loss: 0.0792 (0.1046) loss_seg: 0.0828 (0.1126) loss_lansim: 0.1201 (0.1127) loss_contra: 0.0008 (0.0142) time: 2.5464 data: 0.0025 max mem: 31671 Epoch: [11] [1890/5278] eta: 2:23:08 lr: 3.7018191879048305e-05 loss: 0.0806 (0.1047) loss_seg: 0.0834 (0.1127) loss_lansim: 0.1259 (0.1128) loss_contra: 0.0010 (0.0142) time: 2.5446 data: 0.0026 max mem: 31671 Epoch: [11] [1900/5278] eta: 2:22:42 lr: 3.701598798525332e-05 loss: 0.0794 (0.1046) loss_seg: 0.0801 (0.1126) loss_lansim: 0.1246 (0.1129) loss_contra: 0.0011 (0.0141) time: 2.5401 data: 0.0026 max mem: 31671 Epoch: [11] [1910/5278] eta: 2:22:17 lr: 3.701378407687852e-05 loss: 0.0806 (0.1045) loss_seg: 0.0834 (0.1125) loss_lansim: 0.1252 (0.1130) loss_contra: 0.0011 (0.0140) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [11] [1920/5278] eta: 2:21:51 lr: 3.7011580153922815e-05 loss: 0.0846 (0.1046) loss_seg: 0.0905 (0.1126) loss_lansim: 0.1265 (0.1131) loss_contra: 0.0011 (0.0141) time: 2.5303 data: 0.0026 max mem: 31671 Epoch: [11] [1930/5278] eta: 2:21:27 lr: 3.700937621638517e-05 loss: 0.0875 (0.1046) loss_seg: 0.0941 (0.1126) loss_lansim: 0.1268 (0.1132) loss_contra: 0.0011 (0.0143) time: 2.5312 data: 0.0026 max mem: 31671 Epoch: [11] [1940/5278] eta: 2:21:01 lr: 3.7007172264264526e-05 loss: 0.0879 (0.1046) loss_seg: 0.0952 (0.1126) loss_lansim: 0.1278 (0.1133) loss_contra: 0.0011 (0.0143) time: 2.5291 data: 0.0026 max mem: 31671 Epoch: [11] [1950/5278] eta: 2:20:35 lr: 3.700496829755979e-05 loss: 0.0908 (0.1046) loss_seg: 0.0967 (0.1126) loss_lansim: 0.1278 (0.1134) loss_contra: 0.0009 (0.0143) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [11] [1960/5278] eta: 2:20:09 lr: 3.700276431626993e-05 loss: 0.0919 (0.1046) loss_seg: 0.1005 (0.1127) loss_lansim: 0.1278 (0.1135) loss_contra: 0.0009 (0.0142) time: 2.5229 data: 0.0026 max mem: 31671 Epoch: [11] [1970/5278] eta: 2:19:45 lr: 3.700056032039388e-05 loss: 0.0911 (0.1046) loss_seg: 0.0982 (0.1126) loss_lansim: 0.1252 (0.1135) loss_contra: 0.0008 (0.0143) time: 2.5257 data: 0.0026 max mem: 31671 Epoch: [11] [1980/5278] eta: 2:19:20 lr: 3.699835630993057e-05 loss: 0.0920 (0.1045) loss_seg: 0.1017 (0.1125) loss_lansim: 0.1252 (0.1135) loss_contra: 0.0006 (0.0143) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [11] [1990/5278] eta: 2:18:54 lr: 3.6996152284878944e-05 loss: 0.0911 (0.1045) loss_seg: 0.1008 (0.1126) loss_lansim: 0.1235 (0.1135) loss_contra: 0.0005 (0.0145) time: 2.5294 data: 0.0026 max mem: 31671 Epoch: [11] [2000/5278] eta: 2:18:29 lr: 3.6993948245237935e-05 loss: 0.0908 (0.1046) loss_seg: 0.1005 (0.1126) loss_lansim: 0.1230 (0.1135) loss_contra: 0.0004 (0.0144) time: 2.5348 data: 0.0026 max mem: 31671 Epoch: [11] [2010/5278] eta: 2:18:03 lr: 3.6991744191006486e-05 loss: 0.0938 (0.1049) loss_seg: 0.1036 (0.1130) loss_lansim: 0.1216 (0.1136) loss_contra: 0.0005 (0.0144) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [11] [2020/5278] eta: 2:17:38 lr: 3.698954012218353e-05 loss: 0.0920 (0.1050) loss_seg: 0.1022 (0.1131) loss_lansim: 0.1230 (0.1137) loss_contra: 0.0005 (0.0144) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [11] [2030/5278] eta: 2:17:12 lr: 3.6987336038767996e-05 loss: 0.0938 (0.1050) loss_seg: 0.1036 (0.1131) loss_lansim: 0.1216 (0.1138) loss_contra: 0.0004 (0.0143) time: 2.5277 data: 0.0026 max mem: 31671 Epoch: [11] [2040/5278] eta: 2:16:46 lr: 3.698513194075884e-05 loss: 0.0958 (0.1049) loss_seg: 0.1060 (0.1130) loss_lansim: 0.1196 (0.1138) loss_contra: 0.0002 (0.0144) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [11] [2050/5278] eta: 2:16:20 lr: 3.698292782815499e-05 loss: 0.0984 (0.1049) loss_seg: 0.1063 (0.1129) loss_lansim: 0.1191 (0.1138) loss_contra: 0.0002 (0.0143) time: 2.5268 data: 0.0025 max mem: 31671 Epoch: [11] [2060/5278] eta: 2:15:56 lr: 3.6980723700955386e-05 loss: 0.0963 (0.1049) loss_seg: 0.1050 (0.1130) loss_lansim: 0.1169 (0.1138) loss_contra: 0.0002 (0.0143) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [11] [2070/5278] eta: 2:15:30 lr: 3.697851955915895e-05 loss: 0.0984 (0.1048) loss_seg: 0.1063 (0.1128) loss_lansim: 0.1178 (0.1138) loss_contra: 0.0002 (0.0143) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [11] [2080/5278] eta: 2:15:05 lr: 3.6976315402764635e-05 loss: 0.0984 (0.1048) loss_seg: 0.1050 (0.1128) loss_lansim: 0.1190 (0.1139) loss_contra: 0.0003 (0.0143) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [11] [2090/5278] eta: 2:14:40 lr: 3.697411123177138e-05 loss: 0.0951 (0.1047) loss_seg: 0.1031 (0.1127) loss_lansim: 0.1196 (0.1139) loss_contra: 0.0002 (0.0142) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [11] [2100/5278] eta: 2:14:14 lr: 3.697190704617811e-05 loss: 0.1034 (0.1048) loss_seg: 0.1058 (0.1128) loss_lansim: 0.1207 (0.1140) loss_contra: 0.0003 (0.0141) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [11] [2110/5278] eta: 2:13:49 lr: 3.6969702845983756e-05 loss: 0.0954 (0.1048) loss_seg: 0.1050 (0.1128) loss_lansim: 0.1207 (0.1140) loss_contra: 0.0002 (0.0141) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [11] [2120/5278] eta: 2:13:23 lr: 3.696749863118728e-05 loss: 0.0904 (0.1047) loss_seg: 0.1001 (0.1127) loss_lansim: 0.1194 (0.1141) loss_contra: 0.0002 (0.0140) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [11] [2130/5278] eta: 2:12:58 lr: 3.6965294401787585e-05 loss: 0.0904 (0.1046) loss_seg: 0.0982 (0.1126) loss_lansim: 0.1194 (0.1141) loss_contra: 0.0002 (0.0140) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [11] [2140/5278] eta: 2:12:33 lr: 3.696309015778363e-05 loss: 0.0904 (0.1046) loss_seg: 0.0982 (0.1126) loss_lansim: 0.1219 (0.1142) loss_contra: 0.0002 (0.0140) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [11] [2150/5278] eta: 2:12:08 lr: 3.696088589917434e-05 loss: 0.0932 (0.1047) loss_seg: 0.1006 (0.1127) loss_lansim: 0.1244 (0.1143) loss_contra: 0.0001 (0.0139) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [11] [2160/5278] eta: 2:11:44 lr: 3.695868162595865e-05 loss: 0.0927 (0.1047) loss_seg: 0.1006 (0.1127) loss_lansim: 0.1250 (0.1144) loss_contra: 0.0001 (0.0139) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [11] [2170/5278] eta: 2:11:19 lr: 3.6956477338135507e-05 loss: 0.0927 (0.1046) loss_seg: 0.1006 (0.1126) loss_lansim: 0.1252 (0.1144) loss_contra: 0.0001 (0.0138) time: 2.5486 data: 0.0026 max mem: 31671 Epoch: [11] [2180/5278] eta: 2:10:53 lr: 3.6954273035703834e-05 loss: 0.0909 (0.1045) loss_seg: 0.0982 (0.1125) loss_lansim: 0.1250 (0.1145) loss_contra: 0.0001 (0.0138) time: 2.5463 data: 0.0026 max mem: 31671 Epoch: [11] [2190/5278] eta: 2:10:27 lr: 3.695206871866257e-05 loss: 0.0927 (0.1046) loss_seg: 0.1006 (0.1126) loss_lansim: 0.1252 (0.1146) loss_contra: 0.0001 (0.0137) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [11] [2200/5278] eta: 2:10:02 lr: 3.694986438701065e-05 loss: 0.0921 (0.1046) loss_seg: 0.0982 (0.1126) loss_lansim: 0.1252 (0.1147) loss_contra: 0.0001 (0.0137) time: 2.5384 data: 0.0026 max mem: 31671 Epoch: [11] [2210/5278] eta: 2:09:37 lr: 3.6947660040747004e-05 loss: 0.0893 (0.1047) loss_seg: 0.0972 (0.1127) loss_lansim: 0.1259 (0.1147) loss_contra: 0.0001 (0.0137) time: 2.5452 data: 0.0026 max mem: 31671 Epoch: [11] [2220/5278] eta: 2:09:11 lr: 3.694545567987058e-05 loss: 0.0927 (0.1046) loss_seg: 0.0982 (0.1126) loss_lansim: 0.1266 (0.1148) loss_contra: 0.0001 (0.0137) time: 2.5483 data: 0.0025 max mem: 31671 Epoch: [11] [2230/5278] eta: 2:08:46 lr: 3.69432513043803e-05 loss: 0.0921 (0.1046) loss_seg: 0.0977 (0.1126) loss_lansim: 0.1272 (0.1149) loss_contra: 0.0002 (0.0138) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [11] [2240/5278] eta: 2:08:20 lr: 3.694104691427509e-05 loss: 0.0940 (0.1048) loss_seg: 0.1026 (0.1128) loss_lansim: 0.1280 (0.1150) loss_contra: 0.0002 (0.0138) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [11] [2250/5278] eta: 2:07:54 lr: 3.693884250955391e-05 loss: 0.0940 (0.1049) loss_seg: 0.1026 (0.1129) loss_lansim: 0.1280 (0.1150) loss_contra: 0.0002 (0.0137) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [11] [2260/5278] eta: 2:07:30 lr: 3.693663809021567e-05 loss: 0.0927 (0.1047) loss_seg: 0.0977 (0.1127) loss_lansim: 0.1275 (0.1151) loss_contra: 0.0002 (0.0137) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [11] [2270/5278] eta: 2:07:05 lr: 3.6934433656259315e-05 loss: 0.0927 (0.1046) loss_seg: 0.0961 (0.1126) loss_lansim: 0.1280 (0.1152) loss_contra: 0.0002 (0.0137) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [11] [2280/5278] eta: 2:06:40 lr: 3.693222920768378e-05 loss: 0.0927 (0.1045) loss_seg: 0.0961 (0.1125) loss_lansim: 0.1275 (0.1152) loss_contra: 0.0002 (0.0139) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [11] [2290/5278] eta: 2:06:15 lr: 3.6930024744487994e-05 loss: 0.0927 (0.1046) loss_seg: 0.0977 (0.1126) loss_lansim: 0.1269 (0.1152) loss_contra: 0.0002 (0.0139) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [11] [2300/5278] eta: 2:05:50 lr: 3.692782026667089e-05 loss: 0.0835 (0.1045) loss_seg: 0.0905 (0.1125) loss_lansim: 0.1283 (0.1153) loss_contra: 0.0002 (0.0139) time: 2.5517 data: 0.0025 max mem: 31671 Epoch: [11] [2310/5278] eta: 2:05:25 lr: 3.6925615774231406e-05 loss: 0.0857 (0.1044) loss_seg: 0.0917 (0.1124) loss_lansim: 0.1289 (0.1154) loss_contra: 0.0002 (0.0138) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [11] [2320/5278] eta: 2:05:00 lr: 3.692341126716846e-05 loss: 0.0857 (0.1045) loss_seg: 0.0917 (0.1125) loss_lansim: 0.1280 (0.1155) loss_contra: 0.0002 (0.0138) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [11] [2330/5278] eta: 2:04:35 lr: 3.692120674548101e-05 loss: 0.0835 (0.1043) loss_seg: 0.0905 (0.1123) loss_lansim: 0.1283 (0.1155) loss_contra: 0.0002 (0.0137) time: 2.5598 data: 0.0025 max mem: 31671 Epoch: [11] [2340/5278] eta: 2:04:09 lr: 3.691900220916797e-05 loss: 0.0801 (0.1043) loss_seg: 0.0858 (0.1123) loss_lansim: 0.1261 (0.1156) loss_contra: 0.0002 (0.0137) time: 2.5555 data: 0.0025 max mem: 31671 Epoch: [11] [2350/5278] eta: 2:03:43 lr: 3.691679765822828e-05 loss: 0.0777 (0.1043) loss_seg: 0.0839 (0.1123) loss_lansim: 0.1230 (0.1156) loss_contra: 0.0003 (0.0137) time: 2.5551 data: 0.0026 max mem: 31671 Epoch: [11] [2360/5278] eta: 2:03:17 lr: 3.691459309266088e-05 loss: 0.0851 (0.1043) loss_seg: 0.0917 (0.1123) loss_lansim: 0.1230 (0.1156) loss_contra: 0.0003 (0.0137) time: 2.5399 data: 0.0026 max mem: 31671 Epoch: [11] [2370/5278] eta: 2:02:52 lr: 3.6912388512464674e-05 loss: 0.0854 (0.1044) loss_seg: 0.0941 (0.1124) loss_lansim: 0.1261 (0.1157) loss_contra: 0.0003 (0.0137) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [11] [2380/5278] eta: 2:02:26 lr: 3.691018391763862e-05 loss: 0.0805 (0.1043) loss_seg: 0.0883 (0.1123) loss_lansim: 0.1272 (0.1158) loss_contra: 0.0003 (0.0138) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [11] [2390/5278] eta: 2:02:02 lr: 3.690797930818165e-05 loss: 0.0827 (0.1045) loss_seg: 0.0886 (0.1125) loss_lansim: 0.1276 (0.1158) loss_contra: 0.0003 (0.0138) time: 2.5399 data: 0.0026 max mem: 31671 Epoch: [11] [2400/5278] eta: 2:01:37 lr: 3.690577468409267e-05 loss: 0.0851 (0.1044) loss_seg: 0.0938 (0.1124) loss_lansim: 0.1272 (0.1159) loss_contra: 0.0005 (0.0138) time: 2.5393 data: 0.0026 max mem: 31671 Epoch: [11] [2410/5278] eta: 2:01:12 lr: 3.690357004537065e-05 loss: 0.0849 (0.1043) loss_seg: 0.0937 (0.1123) loss_lansim: 0.1272 (0.1159) loss_contra: 0.0006 (0.0138) time: 2.5400 data: 0.0026 max mem: 31671 Epoch: [11] [2420/5278] eta: 2:00:48 lr: 3.6901365392014495e-05 loss: 0.0805 (0.1044) loss_seg: 0.0884 (0.1124) loss_lansim: 0.1261 (0.1160) loss_contra: 0.0003 (0.0138) time: 2.5515 data: 0.0026 max mem: 31671 Epoch: [11] [2430/5278] eta: 2:00:23 lr: 3.689916072402314e-05 loss: 0.0897 (0.1046) loss_seg: 0.0989 (0.1126) loss_lansim: 0.1272 (0.1161) loss_contra: 0.0003 (0.0137) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [11] [2440/5278] eta: 1:59:58 lr: 3.689695604139553e-05 loss: 0.0900 (0.1046) loss_seg: 0.0993 (0.1126) loss_lansim: 0.1285 (0.1162) loss_contra: 0.0003 (0.0137) time: 2.5540 data: 0.0026 max mem: 31671 Epoch: [11] [2450/5278] eta: 1:59:32 lr: 3.689475134413057e-05 loss: 0.0980 (0.1047) loss_seg: 0.1049 (0.1127) loss_lansim: 0.1290 (0.1162) loss_contra: 0.0002 (0.0136) time: 2.5556 data: 0.0025 max mem: 31671 Epoch: [11] [2460/5278] eta: 1:59:07 lr: 3.689254663222722e-05 loss: 0.0973 (0.1048) loss_seg: 0.1012 (0.1128) loss_lansim: 0.1299 (0.1162) loss_contra: 0.0003 (0.0136) time: 2.5613 data: 0.0026 max mem: 31671 Epoch: [11] [2470/5278] eta: 1:58:42 lr: 3.689034190568439e-05 loss: 0.0913 (0.1047) loss_seg: 0.0993 (0.1127) loss_lansim: 0.1284 (0.1163) loss_contra: 0.0002 (0.0135) time: 2.5652 data: 0.0026 max mem: 31671 Epoch: [11] [2480/5278] eta: 1:58:16 lr: 3.688813716450102e-05 loss: 0.0980 (0.1047) loss_seg: 0.1043 (0.1127) loss_lansim: 0.1261 (0.1163) loss_contra: 0.0002 (0.0135) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [11] [2490/5278] eta: 1:57:51 lr: 3.6885932408676036e-05 loss: 0.0945 (0.1047) loss_seg: 0.1011 (0.1127) loss_lansim: 0.1233 (0.1164) loss_contra: 0.0002 (0.0134) time: 2.5600 data: 0.0025 max mem: 31671 Epoch: [11] [2500/5278] eta: 1:57:26 lr: 3.688372763820837e-05 loss: 0.0913 (0.1047) loss_seg: 0.0993 (0.1127) loss_lansim: 0.1255 (0.1164) loss_contra: 0.0002 (0.0136) time: 2.5533 data: 0.0025 max mem: 31671 Epoch: [11] [2510/5278] eta: 1:57:00 lr: 3.688152285309696e-05 loss: 0.0980 (0.1048) loss_seg: 0.1085 (0.1128) loss_lansim: 0.1233 (0.1164) loss_contra: 0.0002 (0.0135) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [11] [2520/5278] eta: 1:56:34 lr: 3.687931805334073e-05 loss: 0.0980 (0.1048) loss_seg: 0.1085 (0.1128) loss_lansim: 0.1247 (0.1165) loss_contra: 0.0002 (0.0135) time: 2.5337 data: 0.0026 max mem: 31671 Epoch: [11] [2530/5278] eta: 1:56:09 lr: 3.687711323893859e-05 loss: 0.0980 (0.1047) loss_seg: 0.1085 (0.1127) loss_lansim: 0.1233 (0.1165) loss_contra: 0.0002 (0.0135) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [11] [2540/5278] eta: 1:55:44 lr: 3.687490840988951e-05 loss: 0.0971 (0.1047) loss_seg: 0.1052 (0.1127) loss_lansim: 0.1232 (0.1166) loss_contra: 0.0003 (0.0135) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [11] [2550/5278] eta: 1:55:18 lr: 3.687270356619239e-05 loss: 0.0950 (0.1047) loss_seg: 0.0986 (0.1128) loss_lansim: 0.1243 (0.1166) loss_contra: 0.0002 (0.0134) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [11] [2560/5278] eta: 1:54:53 lr: 3.687049870784617e-05 loss: 0.0922 (0.1047) loss_seg: 0.0986 (0.1127) loss_lansim: 0.1247 (0.1166) loss_contra: 0.0002 (0.0134) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [11] [2570/5278] eta: 1:54:28 lr: 3.6868293834849776e-05 loss: 0.0958 (0.1048) loss_seg: 0.1018 (0.1129) loss_lansim: 0.1243 (0.1167) loss_contra: 0.0003 (0.0134) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [11] [2580/5278] eta: 1:54:02 lr: 3.686608894720214e-05 loss: 0.0962 (0.1048) loss_seg: 0.1025 (0.1128) loss_lansim: 0.1247 (0.1167) loss_contra: 0.0003 (0.0135) time: 2.5335 data: 0.0026 max mem: 31671 Epoch: [11] [2590/5278] eta: 1:53:38 lr: 3.6863884044902186e-05 loss: 0.0962 (0.1047) loss_seg: 0.1025 (0.1127) loss_lansim: 0.1243 (0.1167) loss_contra: 0.0003 (0.0134) time: 2.5412 data: 0.0025 max mem: 31671 Epoch: [11] [2600/5278] eta: 1:53:14 lr: 3.686167912794885e-05 loss: 0.1002 (0.1049) loss_seg: 0.1094 (0.1130) loss_lansim: 0.1228 (0.1168) loss_contra: 0.0003 (0.0134) time: 2.5525 data: 0.0026 max mem: 31671 Epoch: [11] [2610/5278] eta: 1:52:48 lr: 3.685947419634105e-05 loss: 0.0971 (0.1050) loss_seg: 0.1052 (0.1130) loss_lansim: 0.1247 (0.1168) loss_contra: 0.0003 (0.0134) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [11] [2620/5278] eta: 1:52:24 lr: 3.685726925007773e-05 loss: 0.0971 (0.1049) loss_seg: 0.1025 (0.1130) loss_lansim: 0.1251 (0.1169) loss_contra: 0.0003 (0.0134) time: 2.5694 data: 0.0026 max mem: 31671 Epoch: [11] [2630/5278] eta: 1:51:58 lr: 3.6855064289157804e-05 loss: 0.0974 (0.1049) loss_seg: 0.1052 (0.1130) loss_lansim: 0.1251 (0.1169) loss_contra: 0.0003 (0.0133) time: 2.5679 data: 0.0026 max mem: 31671 Epoch: [11] [2640/5278] eta: 1:51:33 lr: 3.6852859313580205e-05 loss: 0.0958 (0.1048) loss_seg: 0.1025 (0.1129) loss_lansim: 0.1241 (0.1170) loss_contra: 0.0002 (0.0133) time: 2.5575 data: 0.0027 max mem: 31671 Epoch: [11] [2650/5278] eta: 1:51:07 lr: 3.685065432334387e-05 loss: 0.0903 (0.1047) loss_seg: 0.0994 (0.1128) loss_lansim: 0.1241 (0.1170) loss_contra: 0.0003 (0.0132) time: 2.5578 data: 0.0027 max mem: 31671 Epoch: [11] [2660/5278] eta: 1:50:41 lr: 3.684844931844771e-05 loss: 0.0903 (0.1047) loss_seg: 0.0994 (0.1127) loss_lansim: 0.1236 (0.1170) loss_contra: 0.0003 (0.0132) time: 2.5569 data: 0.0027 max mem: 31671 Epoch: [11] [2670/5278] eta: 1:50:17 lr: 3.6846244298890666e-05 loss: 0.0899 (0.1048) loss_seg: 0.0984 (0.1128) loss_lansim: 0.1236 (0.1170) loss_contra: 0.0002 (0.0132) time: 2.5638 data: 0.0027 max mem: 31671 Epoch: [11] [2680/5278] eta: 1:49:52 lr: 3.684403926467166e-05 loss: 0.0896 (0.1047) loss_seg: 0.0956 (0.1127) loss_lansim: 0.1232 (0.1171) loss_contra: 0.0002 (0.0132) time: 2.5693 data: 0.0027 max mem: 31671 Epoch: [11] [2690/5278] eta: 1:49:26 lr: 3.684183421578962e-05 loss: 0.0864 (0.1046) loss_seg: 0.0897 (0.1126) loss_lansim: 0.1244 (0.1171) loss_contra: 0.0002 (0.0133) time: 2.5566 data: 0.0027 max mem: 31671 Epoch: [11] [2700/5278] eta: 1:49:01 lr: 3.6839629152243484e-05 loss: 0.0814 (0.1045) loss_seg: 0.0889 (0.1125) loss_lansim: 0.1249 (0.1171) loss_contra: 0.0002 (0.0133) time: 2.5529 data: 0.0027 max mem: 31671 Epoch: [11] [2710/5278] eta: 1:48:35 lr: 3.683742407403216e-05 loss: 0.0810 (0.1045) loss_seg: 0.0887 (0.1125) loss_lansim: 0.1236 (0.1172) loss_contra: 0.0002 (0.0134) time: 2.5443 data: 0.0027 max mem: 31671 Epoch: [11] [2720/5278] eta: 1:48:10 lr: 3.683521898115458e-05 loss: 0.0824 (0.1045) loss_seg: 0.0889 (0.1125) loss_lansim: 0.1232 (0.1172) loss_contra: 0.0002 (0.0133) time: 2.5314 data: 0.0026 max mem: 31671 Epoch: [11] [2730/5278] eta: 1:47:44 lr: 3.683301387360969e-05 loss: 0.0824 (0.1045) loss_seg: 0.0894 (0.1125) loss_lansim: 0.1263 (0.1173) loss_contra: 0.0003 (0.0133) time: 2.5306 data: 0.0026 max mem: 31671 Epoch: [11] [2740/5278] eta: 1:47:18 lr: 3.683080875139639e-05 loss: 0.0864 (0.1046) loss_seg: 0.0910 (0.1126) loss_lansim: 0.1272 (0.1174) loss_contra: 0.0003 (0.0132) time: 2.5308 data: 0.0026 max mem: 31671 Epoch: [11] [2750/5278] eta: 1:46:54 lr: 3.682860361451363e-05 loss: 0.0839 (0.1045) loss_seg: 0.0915 (0.1125) loss_lansim: 0.1281 (0.1174) loss_contra: 0.0003 (0.0132) time: 2.5441 data: 0.0026 max mem: 31671 Epoch: [11] [2760/5278] eta: 1:46:28 lr: 3.6826398462960316e-05 loss: 0.0839 (0.1046) loss_seg: 0.0924 (0.1126) loss_lansim: 0.1298 (0.1175) loss_contra: 0.0002 (0.0132) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [11] [2770/5278] eta: 1:46:04 lr: 3.682419329673539e-05 loss: 0.0839 (0.1045) loss_seg: 0.0924 (0.1125) loss_lansim: 0.1311 (0.1176) loss_contra: 0.0002 (0.0131) time: 2.5466 data: 0.0026 max mem: 31671 Epoch: [11] [2780/5278] eta: 1:45:39 lr: 3.682198811583777e-05 loss: 0.0839 (0.1045) loss_seg: 0.0922 (0.1125) loss_lansim: 0.1311 (0.1176) loss_contra: 0.0002 (0.0131) time: 2.5450 data: 0.0026 max mem: 31671 Epoch: [11] [2790/5278] eta: 1:45:13 lr: 3.681978292026638e-05 loss: 0.0862 (0.1045) loss_seg: 0.0945 (0.1125) loss_lansim: 0.1319 (0.1177) loss_contra: 0.0002 (0.0131) time: 2.5478 data: 0.0026 max mem: 31671 Epoch: [11] [2800/5278] eta: 1:44:48 lr: 3.681757771002016e-05 loss: 0.0862 (0.1045) loss_seg: 0.0945 (0.1125) loss_lansim: 0.1319 (0.1178) loss_contra: 0.0001 (0.0131) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [11] [2810/5278] eta: 1:44:22 lr: 3.6815372485098015e-05 loss: 0.0864 (0.1045) loss_seg: 0.0951 (0.1126) loss_lansim: 0.1332 (0.1179) loss_contra: 0.0001 (0.0131) time: 2.5440 data: 0.0026 max mem: 31671 Epoch: [11] [2820/5278] eta: 1:43:56 lr: 3.681316724549888e-05 loss: 0.0864 (0.1046) loss_seg: 0.0951 (0.1126) loss_lansim: 0.1319 (0.1179) loss_contra: 0.0001 (0.0130) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [11] [2830/5278] eta: 1:43:32 lr: 3.6810961991221696e-05 loss: 0.0862 (0.1046) loss_seg: 0.0945 (0.1126) loss_lansim: 0.1318 (0.1180) loss_contra: 0.0001 (0.0130) time: 2.5607 data: 0.0026 max mem: 31671 Epoch: [11] [2840/5278] eta: 1:43:08 lr: 3.680875672226536e-05 loss: 0.0844 (0.1045) loss_seg: 0.0928 (0.1126) loss_lansim: 0.1311 (0.1179) loss_contra: 0.0001 (0.0130) time: 2.5712 data: 0.0026 max mem: 31671 Epoch: [11] [2850/5278] eta: 1:42:42 lr: 3.680655143862881e-05 loss: 0.0845 (0.1045) loss_seg: 0.0930 (0.1125) loss_lansim: 0.1305 (0.1180) loss_contra: 0.0001 (0.0129) time: 2.5595 data: 0.0026 max mem: 31671 Epoch: [11] [2860/5278] eta: 1:42:16 lr: 3.680434614031098e-05 loss: 0.0834 (0.1044) loss_seg: 0.0916 (0.1124) loss_lansim: 0.1279 (0.1180) loss_contra: 0.0001 (0.0129) time: 2.5605 data: 0.0026 max mem: 31671 Epoch: [11] [2870/5278] eta: 1:41:50 lr: 3.680214082731078e-05 loss: 0.0845 (0.1045) loss_seg: 0.0930 (0.1125) loss_lansim: 0.1264 (0.1180) loss_contra: 0.0001 (0.0129) time: 2.5416 data: 0.0026 max mem: 31671 Epoch: [11] [2880/5278] eta: 1:41:25 lr: 3.679993549962715e-05 loss: 0.0862 (0.1045) loss_seg: 0.0945 (0.1125) loss_lansim: 0.1275 (0.1180) loss_contra: 0.0001 (0.0129) time: 2.5359 data: 0.0026 max mem: 31671 Epoch: [11] [2890/5278] eta: 1:41:00 lr: 3.6797730157258996e-05 loss: 0.0845 (0.1044) loss_seg: 0.0930 (0.1124) loss_lansim: 0.1241 (0.1180) loss_contra: 0.0001 (0.0129) time: 2.5380 data: 0.0026 max mem: 31671 Epoch: [11] [2900/5278] eta: 1:40:34 lr: 3.6795524800205255e-05 loss: 0.0845 (0.1044) loss_seg: 0.0930 (0.1124) loss_lansim: 0.1221 (0.1180) loss_contra: 0.0001 (0.0128) time: 2.5394 data: 0.0026 max mem: 31671 Epoch: [11] [2910/5278] eta: 1:40:09 lr: 3.679331942846486e-05 loss: 0.0827 (0.1044) loss_seg: 0.0901 (0.1124) loss_lansim: 0.1207 (0.1180) loss_contra: 0.0001 (0.0128) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [11] [2920/5278] eta: 1:39:44 lr: 3.6791114042036706e-05 loss: 0.0806 (0.1043) loss_seg: 0.0864 (0.1123) loss_lansim: 0.1209 (0.1181) loss_contra: 0.0001 (0.0127) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [11] [2930/5278] eta: 1:39:18 lr: 3.678890864091974e-05 loss: 0.0806 (0.1042) loss_seg: 0.0864 (0.1122) loss_lansim: 0.1194 (0.1181) loss_contra: 0.0001 (0.0127) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [11] [2940/5278] eta: 1:38:52 lr: 3.678670322511288e-05 loss: 0.0827 (0.1043) loss_seg: 0.0893 (0.1123) loss_lansim: 0.1209 (0.1181) loss_contra: 0.0001 (0.0127) time: 2.5184 data: 0.0025 max mem: 31671 Epoch: [11] [2950/5278] eta: 1:38:27 lr: 3.678449779461505e-05 loss: 0.0810 (0.1043) loss_seg: 0.0892 (0.1123) loss_lansim: 0.1199 (0.1181) loss_contra: 0.0002 (0.0127) time: 2.5239 data: 0.0025 max mem: 31671 Epoch: [11] [2960/5278] eta: 1:38:02 lr: 3.678229234942518e-05 loss: 0.0871 (0.1043) loss_seg: 0.0967 (0.1122) loss_lansim: 0.1209 (0.1181) loss_contra: 0.0002 (0.0127) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [11] [2970/5278] eta: 1:37:37 lr: 3.678008688954218e-05 loss: 0.0852 (0.1043) loss_seg: 0.0942 (0.1122) loss_lansim: 0.1194 (0.1181) loss_contra: 0.0002 (0.0129) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [11] [2980/5278] eta: 1:37:12 lr: 3.677788141496498e-05 loss: 0.0852 (0.1043) loss_seg: 0.0942 (0.1123) loss_lansim: 0.1193 (0.1181) loss_contra: 0.0001 (0.0129) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [11] [2990/5278] eta: 1:36:47 lr: 3.6775675925692505e-05 loss: 0.0968 (0.1044) loss_seg: 0.1066 (0.1124) loss_lansim: 0.1193 (0.1181) loss_contra: 0.0001 (0.0129) time: 2.5481 data: 0.0025 max mem: 31671 Epoch: [11] [3000/5278] eta: 1:36:22 lr: 3.677347042172367e-05 loss: 0.0968 (0.1044) loss_seg: 0.1076 (0.1124) loss_lansim: 0.1209 (0.1182) loss_contra: 0.0001 (0.0130) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [11] [3010/5278] eta: 1:35:56 lr: 3.6771264903057414e-05 loss: 0.0968 (0.1044) loss_seg: 0.1076 (0.1124) loss_lansim: 0.1221 (0.1182) loss_contra: 0.0001 (0.0129) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [11] [3020/5278] eta: 1:35:30 lr: 3.676905936969264e-05 loss: 0.0992 (0.1044) loss_seg: 0.1095 (0.1124) loss_lansim: 0.1230 (0.1182) loss_contra: 0.0001 (0.0129) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [11] [3030/5278] eta: 1:35:05 lr: 3.6766853821628274e-05 loss: 0.1002 (0.1045) loss_seg: 0.1099 (0.1125) loss_lansim: 0.1232 (0.1182) loss_contra: 0.0002 (0.0129) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [11] [3040/5278] eta: 1:34:40 lr: 3.676464825886325e-05 loss: 0.0998 (0.1044) loss_seg: 0.1089 (0.1124) loss_lansim: 0.1230 (0.1183) loss_contra: 0.0002 (0.0129) time: 2.5551 data: 0.0025 max mem: 31671 Epoch: [11] [3050/5278] eta: 1:34:14 lr: 3.676244268139649e-05 loss: 0.1002 (0.1044) loss_seg: 0.1099 (0.1124) loss_lansim: 0.1232 (0.1183) loss_contra: 0.0002 (0.0129) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [11] [3060/5278] eta: 1:33:49 lr: 3.67602370892269e-05 loss: 0.0958 (0.1044) loss_seg: 0.1062 (0.1124) loss_lansim: 0.1223 (0.1183) loss_contra: 0.0003 (0.0129) time: 2.5573 data: 0.0025 max mem: 31671 Epoch: [11] [3070/5278] eta: 1:33:24 lr: 3.6758031482353416e-05 loss: 0.0966 (0.1045) loss_seg: 0.1062 (0.1125) loss_lansim: 0.1223 (0.1183) loss_contra: 0.0003 (0.0128) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [11] [3080/5278] eta: 1:32:59 lr: 3.675582586077495e-05 loss: 0.0958 (0.1045) loss_seg: 0.1025 (0.1125) loss_lansim: 0.1221 (0.1183) loss_contra: 0.0002 (0.0128) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [11] [3090/5278] eta: 1:32:34 lr: 3.675362022449043e-05 loss: 0.0939 (0.1045) loss_seg: 0.1019 (0.1125) loss_lansim: 0.1225 (0.1183) loss_contra: 0.0003 (0.0128) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [11] [3100/5278] eta: 1:32:09 lr: 3.675141457349878e-05 loss: 0.0939 (0.1044) loss_seg: 0.1022 (0.1125) loss_lansim: 0.1208 (0.1183) loss_contra: 0.0003 (0.0128) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [11] [3110/5278] eta: 1:31:43 lr: 3.674920890779891e-05 loss: 0.0942 (0.1044) loss_seg: 0.1040 (0.1124) loss_lansim: 0.1196 (0.1183) loss_contra: 0.0003 (0.0127) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [11] [3120/5278] eta: 1:31:18 lr: 3.6747003227389756e-05 loss: 0.0942 (0.1044) loss_seg: 0.1040 (0.1124) loss_lansim: 0.1194 (0.1183) loss_contra: 0.0003 (0.0128) time: 2.5567 data: 0.0025 max mem: 31671 Epoch: [11] [3130/5278] eta: 1:30:52 lr: 3.6744797532270225e-05 loss: 0.0947 (0.1045) loss_seg: 0.1041 (0.1125) loss_lansim: 0.1194 (0.1184) loss_contra: 0.0003 (0.0128) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [11] [3140/5278] eta: 1:30:27 lr: 3.674259182243924e-05 loss: 0.0947 (0.1046) loss_seg: 0.1043 (0.1126) loss_lansim: 0.1194 (0.1184) loss_contra: 0.0003 (0.0128) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [11] [3150/5278] eta: 1:30:02 lr: 3.674038609789574e-05 loss: 0.0947 (0.1046) loss_seg: 0.1041 (0.1125) loss_lansim: 0.1193 (0.1184) loss_contra: 0.0002 (0.0128) time: 2.5584 data: 0.0025 max mem: 31671 Epoch: [11] [3160/5278] eta: 1:29:36 lr: 3.6738180358638614e-05 loss: 0.0947 (0.1046) loss_seg: 0.1043 (0.1126) loss_lansim: 0.1189 (0.1184) loss_contra: 0.0002 (0.0127) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [11] [3170/5278] eta: 1:29:11 lr: 3.673597460466681e-05 loss: 0.0942 (0.1046) loss_seg: 0.1041 (0.1126) loss_lansim: 0.1194 (0.1184) loss_contra: 0.0002 (0.0127) time: 2.5495 data: 0.0025 max mem: 31671 Epoch: [11] [3180/5278] eta: 1:28:46 lr: 3.673376883597923e-05 loss: 0.0939 (0.1046) loss_seg: 0.1040 (0.1126) loss_lansim: 0.1193 (0.1184) loss_contra: 0.0002 (0.0127) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [11] [3190/5278] eta: 1:28:21 lr: 3.6731563052574804e-05 loss: 0.0929 (0.1046) loss_seg: 0.1029 (0.1126) loss_lansim: 0.1194 (0.1184) loss_contra: 0.0002 (0.0127) time: 2.5466 data: 0.0024 max mem: 31671 Epoch: [11] [3200/5278] eta: 1:27:56 lr: 3.672935725445245e-05 loss: 0.0945 (0.1046) loss_seg: 0.1031 (0.1126) loss_lansim: 0.1202 (0.1184) loss_contra: 0.0004 (0.0127) time: 2.5527 data: 0.0024 max mem: 31671 Epoch: [11] [3210/5278] eta: 1:27:30 lr: 3.6727151441611085e-05 loss: 0.0913 (0.1046) loss_seg: 0.1007 (0.1126) loss_lansim: 0.1212 (0.1184) loss_contra: 0.0003 (0.0126) time: 2.5513 data: 0.0024 max mem: 31671 Epoch: [11] [3220/5278] eta: 1:27:05 lr: 3.6724945614049624e-05 loss: 0.0907 (0.1045) loss_seg: 0.1004 (0.1125) loss_lansim: 0.1224 (0.1185) loss_contra: 0.0003 (0.0126) time: 2.5484 data: 0.0024 max mem: 31671 Epoch: [11] [3230/5278] eta: 1:26:39 lr: 3.672273977176701e-05 loss: 0.0907 (0.1047) loss_seg: 0.1004 (0.1127) loss_lansim: 0.1224 (0.1185) loss_contra: 0.0003 (0.0126) time: 2.5549 data: 0.0024 max mem: 31671 Epoch: [11] [3240/5278] eta: 1:26:14 lr: 3.672053391476212e-05 loss: 0.0901 (0.1047) loss_seg: 0.0998 (0.1127) loss_lansim: 0.1229 (0.1185) loss_contra: 0.0002 (0.0125) time: 2.5518 data: 0.0024 max mem: 31671 Epoch: [11] [3250/5278] eta: 1:25:48 lr: 3.6718328043033916e-05 loss: 0.0899 (0.1046) loss_seg: 0.0995 (0.1126) loss_lansim: 0.1227 (0.1185) loss_contra: 0.0002 (0.0126) time: 2.5438 data: 0.0024 max mem: 31671 Epoch: [11] [3260/5278] eta: 1:25:23 lr: 3.67161221565813e-05 loss: 0.0880 (0.1046) loss_seg: 0.0959 (0.1126) loss_lansim: 0.1227 (0.1185) loss_contra: 0.0001 (0.0125) time: 2.5622 data: 0.0024 max mem: 31671 Epoch: [11] [3270/5278] eta: 1:24:58 lr: 3.671391625540317e-05 loss: 0.0891 (0.1047) loss_seg: 0.0975 (0.1127) loss_lansim: 0.1229 (0.1185) loss_contra: 0.0002 (0.0125) time: 2.5554 data: 0.0024 max mem: 31671 Epoch: [11] [3280/5278] eta: 1:24:33 lr: 3.6711710339498486e-05 loss: 0.0867 (0.1046) loss_seg: 0.0958 (0.1126) loss_lansim: 0.1229 (0.1185) loss_contra: 0.0002 (0.0125) time: 2.5491 data: 0.0024 max mem: 31671 Epoch: [11] [3290/5278] eta: 1:24:07 lr: 3.670950440886613e-05 loss: 0.0884 (0.1046) loss_seg: 0.0973 (0.1127) loss_lansim: 0.1224 (0.1185) loss_contra: 0.0001 (0.0125) time: 2.5458 data: 0.0024 max mem: 31671 Epoch: [11] [3300/5278] eta: 1:23:42 lr: 3.670729846350505e-05 loss: 0.0884 (0.1047) loss_seg: 0.0973 (0.1127) loss_lansim: 0.1229 (0.1185) loss_contra: 0.0001 (0.0125) time: 2.5337 data: 0.0024 max mem: 31671 Epoch: [11] [3310/5278] eta: 1:23:16 lr: 3.670509250341414e-05 loss: 0.0884 (0.1047) loss_seg: 0.0973 (0.1127) loss_lansim: 0.1224 (0.1185) loss_contra: 0.0001 (0.0124) time: 2.5364 data: 0.0024 max mem: 31671 Epoch: [11] [3320/5278] eta: 1:22:51 lr: 3.670288652859232e-05 loss: 0.0891 (0.1047) loss_seg: 0.0975 (0.1127) loss_lansim: 0.1197 (0.1185) loss_contra: 0.0001 (0.0124) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [11] [3330/5278] eta: 1:22:25 lr: 3.6700680539038525e-05 loss: 0.0884 (0.1046) loss_seg: 0.0973 (0.1126) loss_lansim: 0.1189 (0.1185) loss_contra: 0.0001 (0.0124) time: 2.5400 data: 0.0025 max mem: 31671 Epoch: [11] [3340/5278] eta: 1:22:00 lr: 3.6698474534751656e-05 loss: 0.0889 (0.1046) loss_seg: 0.0973 (0.1126) loss_lansim: 0.1159 (0.1184) loss_contra: 0.0001 (0.0123) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [11] [3350/5278] eta: 1:21:35 lr: 3.6696268515730635e-05 loss: 0.0884 (0.1046) loss_seg: 0.0973 (0.1126) loss_lansim: 0.1144 (0.1184) loss_contra: 0.0001 (0.0123) time: 2.5496 data: 0.0025 max mem: 31671 Epoch: [11] [3360/5278] eta: 1:21:10 lr: 3.669406248197439e-05 loss: 0.0927 (0.1047) loss_seg: 0.0996 (0.1127) loss_lansim: 0.1144 (0.1184) loss_contra: 0.0001 (0.0123) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [11] [3370/5278] eta: 1:20:44 lr: 3.669185643348182e-05 loss: 0.0895 (0.1047) loss_seg: 0.0973 (0.1127) loss_lansim: 0.1109 (0.1184) loss_contra: 0.0001 (0.0123) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [11] [3380/5278] eta: 1:20:19 lr: 3.668965037025186e-05 loss: 0.0948 (0.1047) loss_seg: 0.1043 (0.1127) loss_lansim: 0.1107 (0.1184) loss_contra: 0.0002 (0.0123) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [11] [3390/5278] eta: 1:19:53 lr: 3.668744429228342e-05 loss: 0.0927 (0.1047) loss_seg: 0.0989 (0.1127) loss_lansim: 0.1089 (0.1184) loss_contra: 0.0002 (0.0123) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [11] [3400/5278] eta: 1:19:27 lr: 3.6685238199575406e-05 loss: 0.0942 (0.1048) loss_seg: 0.0996 (0.1128) loss_lansim: 0.1084 (0.1183) loss_contra: 0.0002 (0.0122) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [11] [3410/5278] eta: 1:19:02 lr: 3.6683032092126754e-05 loss: 0.0948 (0.1047) loss_seg: 0.1049 (0.1128) loss_lansim: 0.1095 (0.1183) loss_contra: 0.0002 (0.0122) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [11] [3420/5278] eta: 1:18:36 lr: 3.668082596993637e-05 loss: 0.0895 (0.1047) loss_seg: 0.0989 (0.1127) loss_lansim: 0.1095 (0.1183) loss_contra: 0.0001 (0.0122) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [11] [3430/5278] eta: 1:18:11 lr: 3.6678619833003165e-05 loss: 0.0893 (0.1047) loss_seg: 0.0979 (0.1127) loss_lansim: 0.1089 (0.1183) loss_contra: 0.0001 (0.0121) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [11] [3440/5278] eta: 1:17:46 lr: 3.667641368132607e-05 loss: 0.0895 (0.1047) loss_seg: 0.0989 (0.1127) loss_lansim: 0.1095 (0.1182) loss_contra: 0.0001 (0.0121) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [11] [3450/5278] eta: 1:17:20 lr: 3.667420751490398e-05 loss: 0.0895 (0.1047) loss_seg: 0.0979 (0.1127) loss_lansim: 0.1084 (0.1182) loss_contra: 0.0002 (0.0121) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [11] [3460/5278] eta: 1:16:55 lr: 3.667200133373583e-05 loss: 0.0893 (0.1047) loss_seg: 0.0947 (0.1127) loss_lansim: 0.1079 (0.1182) loss_contra: 0.0002 (0.0121) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [11] [3470/5278] eta: 1:16:29 lr: 3.666979513782053e-05 loss: 0.0893 (0.1047) loss_seg: 0.0962 (0.1127) loss_lansim: 0.1084 (0.1182) loss_contra: 0.0002 (0.0121) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [11] [3480/5278] eta: 1:16:04 lr: 3.6667588927156994e-05 loss: 0.0887 (0.1047) loss_seg: 0.0950 (0.1127) loss_lansim: 0.1084 (0.1181) loss_contra: 0.0002 (0.0122) time: 2.5197 data: 0.0025 max mem: 31671 Epoch: [11] [3490/5278] eta: 1:15:39 lr: 3.6665382701744144e-05 loss: 0.0877 (0.1047) loss_seg: 0.0947 (0.1127) loss_lansim: 0.1102 (0.1182) loss_contra: 0.0002 (0.0122) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [11] [3500/5278] eta: 1:15:13 lr: 3.666317646158088e-05 loss: 0.0861 (0.1047) loss_seg: 0.0933 (0.1127) loss_lansim: 0.1099 (0.1181) loss_contra: 0.0002 (0.0122) time: 2.5371 data: 0.0025 max mem: 31671 Epoch: [11] [3510/5278] eta: 1:14:48 lr: 3.666097020666613e-05 loss: 0.0858 (0.1046) loss_seg: 0.0927 (0.1126) loss_lansim: 0.1091 (0.1181) loss_contra: 0.0002 (0.0122) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [11] [3520/5278] eta: 1:14:23 lr: 3.665876393699881e-05 loss: 0.0858 (0.1045) loss_seg: 0.0917 (0.1126) loss_lansim: 0.1093 (0.1181) loss_contra: 0.0002 (0.0122) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [11] [3530/5278] eta: 1:13:58 lr: 3.665655765257782e-05 loss: 0.0856 (0.1044) loss_seg: 0.0897 (0.1125) loss_lansim: 0.1098 (0.1180) loss_contra: 0.0002 (0.0122) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [11] [3540/5278] eta: 1:13:32 lr: 3.665435135340209e-05 loss: 0.0810 (0.1044) loss_seg: 0.0884 (0.1124) loss_lansim: 0.1098 (0.1180) loss_contra: 0.0002 (0.0121) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [11] [3550/5278] eta: 1:13:07 lr: 3.6652145039470527e-05 loss: 0.0810 (0.1043) loss_seg: 0.0896 (0.1124) loss_lansim: 0.1098 (0.1180) loss_contra: 0.0002 (0.0122) time: 2.5528 data: 0.0025 max mem: 31671 Epoch: [11] [3560/5278] eta: 1:12:41 lr: 3.6649938710782046e-05 loss: 0.0810 (0.1044) loss_seg: 0.0897 (0.1124) loss_lansim: 0.1085 (0.1179) loss_contra: 0.0003 (0.0122) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [11] [3570/5278] eta: 1:12:16 lr: 3.664773236733557e-05 loss: 0.0807 (0.1044) loss_seg: 0.0892 (0.1124) loss_lansim: 0.1089 (0.1179) loss_contra: 0.0003 (0.0122) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [11] [3580/5278] eta: 1:11:51 lr: 3.664552600913e-05 loss: 0.0809 (0.1044) loss_seg: 0.0896 (0.1124) loss_lansim: 0.1089 (0.1179) loss_contra: 0.0002 (0.0122) time: 2.5558 data: 0.0026 max mem: 31671 Epoch: [11] [3590/5278] eta: 1:11:25 lr: 3.664331963616426e-05 loss: 0.0810 (0.1043) loss_seg: 0.0897 (0.1124) loss_lansim: 0.1076 (0.1178) loss_contra: 0.0002 (0.0122) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [11] [3600/5278] eta: 1:10:59 lr: 3.6641113248437257e-05 loss: 0.0831 (0.1044) loss_seg: 0.0920 (0.1125) loss_lansim: 0.1086 (0.1179) loss_contra: 0.0002 (0.0121) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [11] [3610/5278] eta: 1:10:34 lr: 3.663890684594791e-05 loss: 0.0824 (0.1045) loss_seg: 0.0908 (0.1125) loss_lansim: 0.1089 (0.1178) loss_contra: 0.0001 (0.0121) time: 2.5504 data: 0.0025 max mem: 31671 Epoch: [11] [3620/5278] eta: 1:10:09 lr: 3.6636700428695126e-05 loss: 0.0831 (0.1044) loss_seg: 0.0912 (0.1124) loss_lansim: 0.1089 (0.1178) loss_contra: 0.0001 (0.0121) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [11] [3630/5278] eta: 1:09:44 lr: 3.663449399667783e-05 loss: 0.0901 (0.1044) loss_seg: 0.0965 (0.1124) loss_lansim: 0.1103 (0.1178) loss_contra: 0.0002 (0.0120) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [11] [3640/5278] eta: 1:09:18 lr: 3.663228754989492e-05 loss: 0.0923 (0.1044) loss_seg: 0.1020 (0.1124) loss_lansim: 0.1105 (0.1178) loss_contra: 0.0002 (0.0120) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [11] [3650/5278] eta: 1:08:53 lr: 3.6630081088345314e-05 loss: 0.0901 (0.1043) loss_seg: 0.0965 (0.1123) loss_lansim: 0.1105 (0.1178) loss_contra: 0.0002 (0.0120) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [11] [3660/5278] eta: 1:08:27 lr: 3.662787461202792e-05 loss: 0.0824 (0.1042) loss_seg: 0.0888 (0.1123) loss_lansim: 0.1111 (0.1178) loss_contra: 0.0002 (0.0120) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [11] [3670/5278] eta: 1:08:02 lr: 3.662566812094168e-05 loss: 0.0824 (0.1042) loss_seg: 0.0888 (0.1123) loss_lansim: 0.1107 (0.1178) loss_contra: 0.0001 (0.0119) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [11] [3680/5278] eta: 1:07:37 lr: 3.662346161508547e-05 loss: 0.0851 (0.1043) loss_seg: 0.0912 (0.1124) loss_lansim: 0.1106 (0.1178) loss_contra: 0.0001 (0.0120) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [11] [3690/5278] eta: 1:07:11 lr: 3.662125509445821e-05 loss: 0.0851 (0.1043) loss_seg: 0.0912 (0.1123) loss_lansim: 0.1111 (0.1177) loss_contra: 0.0002 (0.0120) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [11] [3700/5278] eta: 1:06:46 lr: 3.6619048559058836e-05 loss: 0.0824 (0.1043) loss_seg: 0.0887 (0.1123) loss_lansim: 0.1104 (0.1177) loss_contra: 0.0002 (0.0120) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [11] [3710/5278] eta: 1:06:21 lr: 3.661684200888623e-05 loss: 0.0824 (0.1043) loss_seg: 0.0887 (0.1123) loss_lansim: 0.1102 (0.1177) loss_contra: 0.0002 (0.0120) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [11] [3720/5278] eta: 1:05:55 lr: 3.661463544393932e-05 loss: 0.0877 (0.1043) loss_seg: 0.0924 (0.1124) loss_lansim: 0.1102 (0.1177) loss_contra: 0.0002 (0.0120) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [11] [3730/5278] eta: 1:05:30 lr: 3.661242886421702e-05 loss: 0.0869 (0.1043) loss_seg: 0.0922 (0.1123) loss_lansim: 0.1091 (0.1177) loss_contra: 0.0002 (0.0119) time: 2.5416 data: 0.0026 max mem: 31671 Epoch: [11] [3740/5278] eta: 1:05:05 lr: 3.6610222269718225e-05 loss: 0.0844 (0.1043) loss_seg: 0.0921 (0.1124) loss_lansim: 0.1080 (0.1176) loss_contra: 0.0002 (0.0119) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [11] [3750/5278] eta: 1:04:39 lr: 3.660801566044187e-05 loss: 0.0885 (0.1044) loss_seg: 0.0931 (0.1124) loss_lansim: 0.1080 (0.1176) loss_contra: 0.0001 (0.0119) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [11] [3760/5278] eta: 1:04:14 lr: 3.660580903638685e-05 loss: 0.0932 (0.1043) loss_seg: 0.0994 (0.1124) loss_lansim: 0.1090 (0.1176) loss_contra: 0.0001 (0.0118) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [11] [3770/5278] eta: 1:03:48 lr: 3.660360239755207e-05 loss: 0.0935 (0.1043) loss_seg: 0.1009 (0.1124) loss_lansim: 0.1080 (0.1176) loss_contra: 0.0001 (0.0118) time: 2.5367 data: 0.0026 max mem: 31671 Epoch: [11] [3780/5278] eta: 1:03:23 lr: 3.6601395743936465e-05 loss: 0.0896 (0.1043) loss_seg: 0.0981 (0.1124) loss_lansim: 0.1090 (0.1176) loss_contra: 0.0001 (0.0118) time: 2.5424 data: 0.0026 max mem: 31671 Epoch: [11] [3790/5278] eta: 1:02:57 lr: 3.6599189075538923e-05 loss: 0.0900 (0.1043) loss_seg: 0.0994 (0.1124) loss_lansim: 0.1080 (0.1176) loss_contra: 0.0001 (0.0118) time: 2.5416 data: 0.0026 max mem: 31671 Epoch: [11] [3800/5278] eta: 1:02:32 lr: 3.6596982392358366e-05 loss: 0.0900 (0.1043) loss_seg: 0.0994 (0.1123) loss_lansim: 0.1094 (0.1175) loss_contra: 0.0001 (0.0118) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [11] [3810/5278] eta: 1:02:07 lr: 3.659477569439371e-05 loss: 0.0900 (0.1042) loss_seg: 0.0995 (0.1123) loss_lansim: 0.1118 (0.1175) loss_contra: 0.0001 (0.0117) time: 2.5404 data: 0.0026 max mem: 31671 Epoch: [11] [3820/5278] eta: 1:01:42 lr: 3.659256898164384e-05 loss: 0.0896 (0.1042) loss_seg: 0.0981 (0.1123) loss_lansim: 0.1094 (0.1175) loss_contra: 0.0001 (0.0117) time: 2.5381 data: 0.0026 max mem: 31671 Epoch: [11] [3830/5278] eta: 1:01:16 lr: 3.65903622541077e-05 loss: 0.0898 (0.1042) loss_seg: 0.0982 (0.1123) loss_lansim: 0.1080 (0.1175) loss_contra: 0.0001 (0.0117) time: 2.5360 data: 0.0026 max mem: 31671 Epoch: [11] [3840/5278] eta: 1:00:51 lr: 3.658815551178418e-05 loss: 0.0896 (0.1042) loss_seg: 0.0971 (0.1122) loss_lansim: 0.1092 (0.1175) loss_contra: 0.0001 (0.0117) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [11] [3850/5278] eta: 1:00:25 lr: 3.6585948754672186e-05 loss: 0.0896 (0.1042) loss_seg: 0.0971 (0.1122) loss_lansim: 0.1092 (0.1175) loss_contra: 0.0002 (0.0117) time: 2.5386 data: 0.0026 max mem: 31671 Epoch: [11] [3860/5278] eta: 1:00:00 lr: 3.658374198277065e-05 loss: 0.0898 (0.1042) loss_seg: 0.0971 (0.1123) loss_lansim: 0.1094 (0.1175) loss_contra: 0.0002 (0.0118) time: 2.5354 data: 0.0026 max mem: 31671 Epoch: [11] [3870/5278] eta: 0:59:34 lr: 3.6581535196078455e-05 loss: 0.0877 (0.1042) loss_seg: 0.0959 (0.1123) loss_lansim: 0.1094 (0.1174) loss_contra: 0.0002 (0.0117) time: 2.5289 data: 0.0026 max mem: 31671 Epoch: [11] [3880/5278] eta: 0:59:09 lr: 3.657932839459452e-05 loss: 0.0863 (0.1041) loss_seg: 0.0936 (0.1122) loss_lansim: 0.1075 (0.1174) loss_contra: 0.0002 (0.0118) time: 2.5344 data: 0.0026 max mem: 31671 Epoch: [11] [3890/5278] eta: 0:58:43 lr: 3.6577121578317765e-05 loss: 0.0863 (0.1041) loss_seg: 0.0897 (0.1122) loss_lansim: 0.1069 (0.1174) loss_contra: 0.0003 (0.0117) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [11] [3900/5278] eta: 0:58:18 lr: 3.6574914747247085e-05 loss: 0.0863 (0.1042) loss_seg: 0.0936 (0.1123) loss_lansim: 0.1067 (0.1173) loss_contra: 0.0002 (0.0117) time: 2.5361 data: 0.0026 max mem: 31671 Epoch: [11] [3910/5278] eta: 0:57:53 lr: 3.65727079013814e-05 loss: 0.0875 (0.1042) loss_seg: 0.0947 (0.1122) loss_lansim: 0.1064 (0.1173) loss_contra: 0.0002 (0.0117) time: 2.5352 data: 0.0026 max mem: 31671 Epoch: [11] [3920/5278] eta: 0:57:27 lr: 3.657050104071962e-05 loss: 0.0875 (0.1041) loss_seg: 0.0947 (0.1122) loss_lansim: 0.1068 (0.1173) loss_contra: 0.0001 (0.0117) time: 2.5361 data: 0.0026 max mem: 31671 Epoch: [11] [3930/5278] eta: 0:57:02 lr: 3.656829416526064e-05 loss: 0.0856 (0.1041) loss_seg: 0.0911 (0.1121) loss_lansim: 0.1072 (0.1173) loss_contra: 0.0001 (0.0117) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [11] [3940/5278] eta: 0:56:37 lr: 3.6566087275003375e-05 loss: 0.0856 (0.1040) loss_seg: 0.0911 (0.1120) loss_lansim: 0.1072 (0.1172) loss_contra: 0.0001 (0.0116) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [11] [3950/5278] eta: 0:56:11 lr: 3.656388036994673e-05 loss: 0.0856 (0.1040) loss_seg: 0.0927 (0.1120) loss_lansim: 0.1068 (0.1172) loss_contra: 0.0001 (0.0116) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [11] [3960/5278] eta: 0:55:46 lr: 3.656167345008963e-05 loss: 0.0830 (0.1039) loss_seg: 0.0862 (0.1120) loss_lansim: 0.1064 (0.1172) loss_contra: 0.0001 (0.0116) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [11] [3970/5278] eta: 0:55:20 lr: 3.655946651543096e-05 loss: 0.0832 (0.1038) loss_seg: 0.0883 (0.1119) loss_lansim: 0.1043 (0.1171) loss_contra: 0.0001 (0.0116) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [11] [3980/5278] eta: 0:54:55 lr: 3.6557259565969646e-05 loss: 0.0841 (0.1038) loss_seg: 0.0925 (0.1118) loss_lansim: 0.1043 (0.1171) loss_contra: 0.0001 (0.0115) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [11] [3990/5278] eta: 0:54:30 lr: 3.655505260170459e-05 loss: 0.0832 (0.1038) loss_seg: 0.0922 (0.1118) loss_lansim: 0.1023 (0.1170) loss_contra: 0.0001 (0.0115) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [11] [4000/5278] eta: 0:54:04 lr: 3.65528456226347e-05 loss: 0.0834 (0.1038) loss_seg: 0.0925 (0.1118) loss_lansim: 0.1012 (0.1170) loss_contra: 0.0001 (0.0115) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [11] [4010/5278] eta: 0:53:39 lr: 3.655063862875887e-05 loss: 0.0794 (0.1038) loss_seg: 0.0878 (0.1118) loss_lansim: 0.1009 (0.1169) loss_contra: 0.0001 (0.0115) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [11] [4020/5278] eta: 0:53:14 lr: 3.654843162007603e-05 loss: 0.0794 (0.1038) loss_seg: 0.0881 (0.1118) loss_lansim: 0.0997 (0.1169) loss_contra: 0.0001 (0.0115) time: 2.5364 data: 0.0024 max mem: 31671 Epoch: [11] [4030/5278] eta: 0:52:48 lr: 3.654622459658506e-05 loss: 0.0798 (0.1037) loss_seg: 0.0885 (0.1118) loss_lansim: 0.0994 (0.1169) loss_contra: 0.0001 (0.0114) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [11] [4040/5278] eta: 0:52:23 lr: 3.6544017558284905e-05 loss: 0.0841 (0.1037) loss_seg: 0.0932 (0.1118) loss_lansim: 0.0993 (0.1169) loss_contra: 0.0001 (0.0114) time: 2.5530 data: 0.0025 max mem: 31671 Epoch: [11] [4050/5278] eta: 0:51:58 lr: 3.654181050517444e-05 loss: 0.0834 (0.1037) loss_seg: 0.0925 (0.1118) loss_lansim: 0.0994 (0.1168) loss_contra: 0.0001 (0.0114) time: 2.5538 data: 0.0025 max mem: 31671 Epoch: [11] [4060/5278] eta: 0:51:32 lr: 3.6539603437252576e-05 loss: 0.0853 (0.1037) loss_seg: 0.0943 (0.1117) loss_lansim: 0.0994 (0.1168) loss_contra: 0.0001 (0.0114) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [11] [4070/5278] eta: 0:51:07 lr: 3.6537396354518236e-05 loss: 0.0855 (0.1037) loss_seg: 0.0943 (0.1118) loss_lansim: 0.0994 (0.1168) loss_contra: 0.0001 (0.0114) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [11] [4080/5278] eta: 0:50:41 lr: 3.653518925697031e-05 loss: 0.0859 (0.1037) loss_seg: 0.0943 (0.1117) loss_lansim: 0.0999 (0.1167) loss_contra: 0.0001 (0.0113) time: 2.5502 data: 0.0025 max mem: 31671 Epoch: [11] [4090/5278] eta: 0:50:16 lr: 3.6532982144607716e-05 loss: 0.0855 (0.1037) loss_seg: 0.0924 (0.1117) loss_lansim: 0.0999 (0.1167) loss_contra: 0.0001 (0.0114) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [11] [4100/5278] eta: 0:49:51 lr: 3.653077501742935e-05 loss: 0.0844 (0.1037) loss_seg: 0.0889 (0.1117) loss_lansim: 0.0993 (0.1166) loss_contra: 0.0002 (0.0114) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [11] [4110/5278] eta: 0:49:25 lr: 3.652856787543411e-05 loss: 0.0832 (0.1037) loss_seg: 0.0885 (0.1118) loss_lansim: 0.1003 (0.1166) loss_contra: 0.0002 (0.0113) time: 2.5483 data: 0.0026 max mem: 31671 Epoch: [11] [4120/5278] eta: 0:49:00 lr: 3.652636071862093e-05 loss: 0.0814 (0.1037) loss_seg: 0.0875 (0.1117) loss_lansim: 0.1002 (0.1166) loss_contra: 0.0002 (0.0113) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [11] [4130/5278] eta: 0:48:34 lr: 3.652415354698869e-05 loss: 0.0844 (0.1037) loss_seg: 0.0889 (0.1117) loss_lansim: 0.1002 (0.1165) loss_contra: 0.0003 (0.0113) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [11] [4140/5278] eta: 0:48:09 lr: 3.6521946360536314e-05 loss: 0.0844 (0.1037) loss_seg: 0.0889 (0.1117) loss_lansim: 0.0991 (0.1165) loss_contra: 0.0004 (0.0113) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [11] [4150/5278] eta: 0:47:43 lr: 3.6519739159262694e-05 loss: 0.0832 (0.1037) loss_seg: 0.0889 (0.1117) loss_lansim: 0.0991 (0.1164) loss_contra: 0.0005 (0.0113) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [11] [4160/5278] eta: 0:47:18 lr: 3.651753194316673e-05 loss: 0.0832 (0.1037) loss_seg: 0.0892 (0.1117) loss_lansim: 0.0991 (0.1164) loss_contra: 0.0005 (0.0113) time: 2.5252 data: 0.0026 max mem: 31671 Epoch: [11] [4170/5278] eta: 0:46:52 lr: 3.651532471224735e-05 loss: 0.0866 (0.1037) loss_seg: 0.0929 (0.1118) loss_lansim: 0.0979 (0.1164) loss_contra: 0.0003 (0.0112) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [11] [4180/5278] eta: 0:46:27 lr: 3.651311746650344e-05 loss: 0.0866 (0.1037) loss_seg: 0.0937 (0.1118) loss_lansim: 0.0977 (0.1163) loss_contra: 0.0002 (0.0112) time: 2.5167 data: 0.0026 max mem: 31671 Epoch: [11] [4190/5278] eta: 0:46:02 lr: 3.6510910205933907e-05 loss: 0.0837 (0.1037) loss_seg: 0.0929 (0.1117) loss_lansim: 0.0971 (0.1163) loss_contra: 0.0002 (0.0112) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [11] [4200/5278] eta: 0:45:36 lr: 3.650870293053767e-05 loss: 0.0879 (0.1037) loss_seg: 0.0962 (0.1117) loss_lansim: 0.0976 (0.1162) loss_contra: 0.0002 (0.0112) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [11] [4210/5278] eta: 0:45:11 lr: 3.65064956403136e-05 loss: 0.0867 (0.1036) loss_seg: 0.0940 (0.1117) loss_lansim: 0.0976 (0.1162) loss_contra: 0.0002 (0.0114) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [11] [4220/5278] eta: 0:44:46 lr: 3.650428833526064e-05 loss: 0.0854 (0.1036) loss_seg: 0.0917 (0.1116) loss_lansim: 0.0977 (0.1162) loss_contra: 0.0002 (0.0114) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [11] [4230/5278] eta: 0:44:20 lr: 3.650208101537768e-05 loss: 0.0872 (0.1036) loss_seg: 0.0929 (0.1116) loss_lansim: 0.0982 (0.1162) loss_contra: 0.0002 (0.0114) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [11] [4240/5278] eta: 0:43:55 lr: 3.649987368066361e-05 loss: 0.0837 (0.1035) loss_seg: 0.0902 (0.1116) loss_lansim: 0.0991 (0.1161) loss_contra: 0.0002 (0.0114) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [11] [4250/5278] eta: 0:43:30 lr: 3.6497666331117344e-05 loss: 0.0837 (0.1035) loss_seg: 0.0901 (0.1115) loss_lansim: 0.0980 (0.1161) loss_contra: 0.0002 (0.0114) time: 2.5450 data: 0.0025 max mem: 31671 Epoch: [11] [4260/5278] eta: 0:43:04 lr: 3.6495458966737786e-05 loss: 0.0812 (0.1034) loss_seg: 0.0866 (0.1114) loss_lansim: 0.0982 (0.1160) loss_contra: 0.0002 (0.0113) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [11] [4270/5278] eta: 0:42:39 lr: 3.649325158752385e-05 loss: 0.0827 (0.1035) loss_seg: 0.0868 (0.1115) loss_lansim: 0.0991 (0.1160) loss_contra: 0.0002 (0.0113) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [11] [4280/5278] eta: 0:42:13 lr: 3.649104419347443e-05 loss: 0.0812 (0.1034) loss_seg: 0.0866 (0.1114) loss_lansim: 0.0982 (0.1159) loss_contra: 0.0001 (0.0114) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [11] [4290/5278] eta: 0:41:48 lr: 3.648883678458841e-05 loss: 0.0854 (0.1034) loss_seg: 0.0901 (0.1115) loss_lansim: 0.0989 (0.1159) loss_contra: 0.0002 (0.0114) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [11] [4300/5278] eta: 0:41:22 lr: 3.648662936086473e-05 loss: 0.0854 (0.1035) loss_seg: 0.0901 (0.1115) loss_lansim: 0.0985 (0.1159) loss_contra: 0.0002 (0.0113) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [11] [4310/5278] eta: 0:40:57 lr: 3.648442192230227e-05 loss: 0.0872 (0.1034) loss_seg: 0.0911 (0.1114) loss_lansim: 0.0975 (0.1158) loss_contra: 0.0002 (0.0113) time: 2.5242 data: 0.0025 max mem: 31671 Epoch: [11] [4320/5278] eta: 0:40:31 lr: 3.648221446889993e-05 loss: 0.0927 (0.1035) loss_seg: 0.1024 (0.1115) loss_lansim: 0.0952 (0.1158) loss_contra: 0.0002 (0.0113) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [11] [4330/5278] eta: 0:40:06 lr: 3.648000700065662e-05 loss: 0.0868 (0.1034) loss_seg: 0.0927 (0.1115) loss_lansim: 0.0938 (0.1157) loss_contra: 0.0001 (0.0113) time: 2.5043 data: 0.0025 max mem: 31671 Epoch: [11] [4340/5278] eta: 0:39:40 lr: 3.647779951757125e-05 loss: 0.0922 (0.1034) loss_seg: 0.0963 (0.1115) loss_lansim: 0.0942 (0.1157) loss_contra: 0.0001 (0.0113) time: 2.4922 data: 0.0025 max mem: 31671 Epoch: [11] [4350/5278] eta: 0:39:15 lr: 3.64755920196427e-05 loss: 0.0924 (0.1034) loss_seg: 0.0970 (0.1115) loss_lansim: 0.0942 (0.1157) loss_contra: 0.0001 (0.0113) time: 2.4866 data: 0.0025 max mem: 31671 Epoch: [11] [4360/5278] eta: 0:38:49 lr: 3.64733845068699e-05 loss: 0.0948 (0.1035) loss_seg: 0.1025 (0.1115) loss_lansim: 0.0948 (0.1156) loss_contra: 0.0001 (0.0113) time: 2.4912 data: 0.0025 max mem: 31671 Epoch: [11] [4370/5278] eta: 0:38:24 lr: 3.647117697925173e-05 loss: 0.0927 (0.1035) loss_seg: 0.1009 (0.1115) loss_lansim: 0.0939 (0.1156) loss_contra: 0.0001 (0.0113) time: 2.4881 data: 0.0025 max mem: 31671 Epoch: [11] [4380/5278] eta: 0:37:58 lr: 3.64689694367871e-05 loss: 0.0927 (0.1036) loss_seg: 0.1009 (0.1117) loss_lansim: 0.0942 (0.1155) loss_contra: 0.0002 (0.0113) time: 2.4947 data: 0.0024 max mem: 31671 Epoch: [11] [4390/5278] eta: 0:37:33 lr: 3.6466761879474913e-05 loss: 0.0865 (0.1035) loss_seg: 0.0951 (0.1116) loss_lansim: 0.0954 (0.1155) loss_contra: 0.0002 (0.0112) time: 2.4981 data: 0.0024 max mem: 31671 Epoch: [11] [4400/5278] eta: 0:37:07 lr: 3.646455430731407e-05 loss: 0.0854 (0.1036) loss_seg: 0.0948 (0.1116) loss_lansim: 0.0969 (0.1155) loss_contra: 0.0002 (0.0112) time: 2.4913 data: 0.0024 max mem: 31671 Epoch: [11] [4410/5278] eta: 0:36:42 lr: 3.646234672030347e-05 loss: 0.0876 (0.1036) loss_seg: 0.0957 (0.1116) loss_lansim: 0.0969 (0.1154) loss_contra: 0.0002 (0.0112) time: 2.4933 data: 0.0024 max mem: 31671 Epoch: [11] [4420/5278] eta: 0:36:17 lr: 3.646013911844201e-05 loss: 0.0876 (0.1036) loss_seg: 0.0963 (0.1116) loss_lansim: 0.0976 (0.1154) loss_contra: 0.0002 (0.0112) time: 2.4971 data: 0.0024 max mem: 31671 Epoch: [11] [4430/5278] eta: 0:35:51 lr: 3.645793150172861e-05 loss: 0.0876 (0.1036) loss_seg: 0.0957 (0.1116) loss_lansim: 0.0989 (0.1154) loss_contra: 0.0002 (0.0112) time: 2.4979 data: 0.0024 max mem: 31671 Epoch: [11] [4440/5278] eta: 0:35:26 lr: 3.645572387016215e-05 loss: 0.0865 (0.1035) loss_seg: 0.0954 (0.1115) loss_lansim: 0.1009 (0.1154) loss_contra: 0.0002 (0.0111) time: 2.5036 data: 0.0024 max mem: 31671 Epoch: [11] [4450/5278] eta: 0:35:00 lr: 3.645351622374153e-05 loss: 0.0865 (0.1036) loss_seg: 0.0954 (0.1116) loss_lansim: 0.1003 (0.1153) loss_contra: 0.0003 (0.0111) time: 2.5008 data: 0.0024 max mem: 31671 Epoch: [11] [4460/5278] eta: 0:34:35 lr: 3.6451308562465665e-05 loss: 0.0865 (0.1036) loss_seg: 0.0954 (0.1116) loss_lansim: 0.0995 (0.1153) loss_contra: 0.0003 (0.0113) time: 2.4980 data: 0.0024 max mem: 31671 Epoch: [11] [4470/5278] eta: 0:34:09 lr: 3.644910088633345e-05 loss: 0.0880 (0.1036) loss_seg: 0.0958 (0.1116) loss_lansim: 0.1012 (0.1153) loss_contra: 0.0003 (0.0113) time: 2.5022 data: 0.0024 max mem: 31671 Epoch: [11] [4480/5278] eta: 0:33:44 lr: 3.6446893195343774e-05 loss: 0.0885 (0.1036) loss_seg: 0.0976 (0.1116) loss_lansim: 0.1032 (0.1153) loss_contra: 0.0003 (0.0112) time: 2.5039 data: 0.0024 max mem: 31671 Epoch: [11] [4490/5278] eta: 0:33:19 lr: 3.6444685489495555e-05 loss: 0.0894 (0.1036) loss_seg: 0.0991 (0.1116) loss_lansim: 0.1044 (0.1153) loss_contra: 0.0003 (0.0116) time: 2.5001 data: 0.0024 max mem: 31671 Epoch: [11] [4500/5278] eta: 0:32:53 lr: 3.644247776878769e-05 loss: 0.0918 (0.1036) loss_seg: 0.1007 (0.1116) loss_lansim: 0.1051 (0.1153) loss_contra: 0.0002 (0.0115) time: 2.5045 data: 0.0024 max mem: 31671 Epoch: [11] [4510/5278] eta: 0:32:28 lr: 3.644027003321906e-05 loss: 0.0880 (0.1036) loss_seg: 0.0976 (0.1116) loss_lansim: 0.1055 (0.1153) loss_contra: 0.0003 (0.0115) time: 2.5098 data: 0.0024 max mem: 31671 Epoch: [11] [4520/5278] eta: 0:32:03 lr: 3.6438062282788585e-05 loss: 0.0873 (0.1035) loss_seg: 0.0968 (0.1116) loss_lansim: 0.1065 (0.1152) loss_contra: 0.0003 (0.0115) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [11] [4530/5278] eta: 0:31:37 lr: 3.643585451749515e-05 loss: 0.0894 (0.1036) loss_seg: 0.0985 (0.1117) loss_lansim: 0.1066 (0.1152) loss_contra: 0.0002 (0.0115) time: 2.5359 data: 0.0025 max mem: 31671 Epoch: [11] [4540/5278] eta: 0:31:12 lr: 3.6433646737337677e-05 loss: 0.0942 (0.1037) loss_seg: 0.1007 (0.1117) loss_lansim: 0.1084 (0.1152) loss_contra: 0.0002 (0.0115) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [11] [4550/5278] eta: 0:30:47 lr: 3.6431438942315035e-05 loss: 0.0959 (0.1037) loss_seg: 0.1023 (0.1117) loss_lansim: 0.1090 (0.1152) loss_contra: 0.0002 (0.0115) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [11] [4560/5278] eta: 0:30:21 lr: 3.642923113242614e-05 loss: 0.0961 (0.1037) loss_seg: 0.1036 (0.1117) loss_lansim: 0.1104 (0.1152) loss_contra: 0.0002 (0.0115) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [11] [4570/5278] eta: 0:29:56 lr: 3.64270233076699e-05 loss: 0.0942 (0.1037) loss_seg: 0.0992 (0.1117) loss_lansim: 0.1079 (0.1152) loss_contra: 0.0003 (0.0115) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [11] [4580/5278] eta: 0:29:30 lr: 3.6424815468045184e-05 loss: 0.0894 (0.1036) loss_seg: 0.0992 (0.1117) loss_lansim: 0.1079 (0.1152) loss_contra: 0.0003 (0.0114) time: 2.5520 data: 0.0026 max mem: 31671 Epoch: [11] [4590/5278] eta: 0:29:05 lr: 3.6422607613550916e-05 loss: 0.0942 (0.1036) loss_seg: 0.1001 (0.1117) loss_lansim: 0.1065 (0.1151) loss_contra: 0.0003 (0.0114) time: 2.5646 data: 0.0025 max mem: 31671 Epoch: [11] [4600/5278] eta: 0:28:40 lr: 3.6420399744185995e-05 loss: 0.0878 (0.1036) loss_seg: 0.0973 (0.1116) loss_lansim: 0.1063 (0.1151) loss_contra: 0.0004 (0.0114) time: 2.5725 data: 0.0025 max mem: 31671 Epoch: [11] [4610/5278] eta: 0:28:15 lr: 3.64181918599493e-05 loss: 0.0878 (0.1036) loss_seg: 0.0973 (0.1116) loss_lansim: 0.1063 (0.1151) loss_contra: 0.0004 (0.0114) time: 2.5707 data: 0.0025 max mem: 31671 Epoch: [11] [4620/5278] eta: 0:27:49 lr: 3.6415983960839744e-05 loss: 0.0894 (0.1036) loss_seg: 0.0992 (0.1116) loss_lansim: 0.1063 (0.1151) loss_contra: 0.0003 (0.0116) time: 2.5778 data: 0.0025 max mem: 31671 Epoch: [11] [4630/5278] eta: 0:27:24 lr: 3.641377604685622e-05 loss: 0.0878 (0.1035) loss_seg: 0.0972 (0.1116) loss_lansim: 0.1062 (0.1151) loss_contra: 0.0003 (0.0116) time: 2.5780 data: 0.0025 max mem: 31671 Epoch: [11] [4640/5278] eta: 0:26:59 lr: 3.641156811799763e-05 loss: 0.0830 (0.1035) loss_seg: 0.0920 (0.1115) loss_lansim: 0.1029 (0.1150) loss_contra: 0.0002 (0.0115) time: 2.5744 data: 0.0024 max mem: 31671 Epoch: [11] [4650/5278] eta: 0:26:33 lr: 3.640936017426287e-05 loss: 0.0816 (0.1035) loss_seg: 0.0902 (0.1115) loss_lansim: 0.1028 (0.1150) loss_contra: 0.0002 (0.0115) time: 2.5731 data: 0.0024 max mem: 31671 Epoch: [11] [4660/5278] eta: 0:26:08 lr: 3.640715221565082e-05 loss: 0.0833 (0.1035) loss_seg: 0.0922 (0.1115) loss_lansim: 0.1025 (0.1150) loss_contra: 0.0001 (0.0115) time: 2.5729 data: 0.0025 max mem: 31671 Epoch: [11] [4670/5278] eta: 0:25:43 lr: 3.640494424216041e-05 loss: 0.0838 (0.1035) loss_seg: 0.0928 (0.1115) loss_lansim: 0.1021 (0.1149) loss_contra: 0.0001 (0.0115) time: 2.5725 data: 0.0025 max mem: 31671 Epoch: [11] [4680/5278] eta: 0:25:17 lr: 3.6402736253790514e-05 loss: 0.0840 (0.1034) loss_seg: 0.0928 (0.1114) loss_lansim: 0.1012 (0.1149) loss_contra: 0.0001 (0.0115) time: 2.5738 data: 0.0025 max mem: 31671 Epoch: [11] [4690/5278] eta: 0:24:52 lr: 3.6400528250540035e-05 loss: 0.0838 (0.1034) loss_seg: 0.0922 (0.1115) loss_lansim: 0.1012 (0.1149) loss_contra: 0.0001 (0.0115) time: 2.5638 data: 0.0025 max mem: 31671 Epoch: [11] [4700/5278] eta: 0:24:26 lr: 3.639832023240787e-05 loss: 0.0861 (0.1035) loss_seg: 0.0936 (0.1115) loss_lansim: 0.1012 (0.1149) loss_contra: 0.0001 (0.0114) time: 2.5569 data: 0.0025 max mem: 31671 Epoch: [11] [4710/5278] eta: 0:24:01 lr: 3.639611219939292e-05 loss: 0.0891 (0.1035) loss_seg: 0.0983 (0.1115) loss_lansim: 0.1008 (0.1149) loss_contra: 0.0002 (0.0114) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [11] [4720/5278] eta: 0:23:36 lr: 3.639390415149407e-05 loss: 0.0852 (0.1034) loss_seg: 0.0931 (0.1115) loss_lansim: 0.1009 (0.1148) loss_contra: 0.0002 (0.0114) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [11] [4730/5278] eta: 0:23:10 lr: 3.639169608871022e-05 loss: 0.0840 (0.1034) loss_seg: 0.0920 (0.1114) loss_lansim: 0.1002 (0.1148) loss_contra: 0.0002 (0.0114) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [11] [4740/5278] eta: 0:22:45 lr: 3.6389488011040277e-05 loss: 0.0902 (0.1035) loss_seg: 0.0952 (0.1115) loss_lansim: 0.1023 (0.1148) loss_contra: 0.0002 (0.0114) time: 2.5254 data: 0.0026 max mem: 31671 Epoch: [11] [4750/5278] eta: 0:22:19 lr: 3.638727991848312e-05 loss: 0.0928 (0.1035) loss_seg: 0.0998 (0.1115) loss_lansim: 0.1030 (0.1148) loss_contra: 0.0003 (0.0114) time: 2.5196 data: 0.0026 max mem: 31671 Epoch: [11] [4760/5278] eta: 0:21:54 lr: 3.6385071811037664e-05 loss: 0.0928 (0.1035) loss_seg: 0.0998 (0.1115) loss_lansim: 0.1033 (0.1147) loss_contra: 0.0003 (0.0114) time: 2.5311 data: 0.0026 max mem: 31671 Epoch: [11] [4770/5278] eta: 0:21:29 lr: 3.638286368870279e-05 loss: 0.0937 (0.1035) loss_seg: 0.1004 (0.1115) loss_lansim: 0.1033 (0.1147) loss_contra: 0.0004 (0.0114) time: 2.5281 data: 0.0026 max mem: 31671 Epoch: [11] [4780/5278] eta: 0:21:03 lr: 3.63806555514774e-05 loss: 0.0937 (0.1035) loss_seg: 0.0998 (0.1115) loss_lansim: 0.1053 (0.1147) loss_contra: 0.0009 (0.0114) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [11] [4790/5278] eta: 0:20:38 lr: 3.637844739936039e-05 loss: 0.0908 (0.1035) loss_seg: 0.0973 (0.1115) loss_lansim: 0.1060 (0.1147) loss_contra: 0.0009 (0.0114) time: 2.5256 data: 0.0026 max mem: 31671 Epoch: [11] [4800/5278] eta: 0:20:13 lr: 3.6376239232350644e-05 loss: 0.0908 (0.1035) loss_seg: 0.0952 (0.1115) loss_lansim: 0.1047 (0.1146) loss_contra: 0.0012 (0.0114) time: 2.5299 data: 0.0025 max mem: 31671 Epoch: [11] [4810/5278] eta: 0:19:47 lr: 3.637403105044708e-05 loss: 0.0908 (0.1035) loss_seg: 0.0960 (0.1115) loss_lansim: 0.1027 (0.1146) loss_contra: 0.0010 (0.0114) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [11] [4820/5278] eta: 0:19:22 lr: 3.6371822853648556e-05 loss: 0.0908 (0.1034) loss_seg: 0.0952 (0.1114) loss_lansim: 0.1002 (0.1145) loss_contra: 0.0007 (0.0114) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [11] [4830/5278] eta: 0:18:57 lr: 3.636961464195401e-05 loss: 0.0950 (0.1034) loss_seg: 0.0989 (0.1114) loss_lansim: 0.1001 (0.1145) loss_contra: 0.0007 (0.0114) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [11] [4840/5278] eta: 0:18:31 lr: 3.63674064153623e-05 loss: 0.0937 (0.1035) loss_seg: 0.1004 (0.1115) loss_lansim: 0.0999 (0.1145) loss_contra: 0.0004 (0.0114) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [11] [4850/5278] eta: 0:18:06 lr: 3.636519817387235e-05 loss: 0.0937 (0.1036) loss_seg: 0.0977 (0.1116) loss_lansim: 0.0996 (0.1145) loss_contra: 0.0003 (0.0114) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [11] [4860/5278] eta: 0:17:40 lr: 3.6362989917483036e-05 loss: 0.0937 (0.1036) loss_seg: 0.0979 (0.1116) loss_lansim: 0.0998 (0.1145) loss_contra: 0.0003 (0.0114) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [11] [4870/5278] eta: 0:17:15 lr: 3.636078164619326e-05 loss: 0.0934 (0.1036) loss_seg: 0.0977 (0.1117) loss_lansim: 0.0990 (0.1145) loss_contra: 0.0003 (0.0114) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [11] [4880/5278] eta: 0:16:49 lr: 3.6358573360001905e-05 loss: 0.0960 (0.1037) loss_seg: 0.1024 (0.1117) loss_lansim: 0.0985 (0.1144) loss_contra: 0.0003 (0.0114) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [11] [4890/5278] eta: 0:16:24 lr: 3.6356365058907876e-05 loss: 0.0967 (0.1036) loss_seg: 0.1034 (0.1117) loss_lansim: 0.0985 (0.1144) loss_contra: 0.0002 (0.0114) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [11] [4900/5278] eta: 0:15:59 lr: 3.6354156742910065e-05 loss: 0.0970 (0.1037) loss_seg: 0.1034 (0.1117) loss_lansim: 0.0985 (0.1144) loss_contra: 0.0002 (0.0114) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [11] [4910/5278] eta: 0:15:33 lr: 3.635194841200737e-05 loss: 0.0967 (0.1036) loss_seg: 0.1027 (0.1117) loss_lansim: 0.0994 (0.1143) loss_contra: 0.0002 (0.0114) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [11] [4920/5278] eta: 0:15:08 lr: 3.6349740066198665e-05 loss: 0.0976 (0.1036) loss_seg: 0.1034 (0.1116) loss_lansim: 0.0998 (0.1143) loss_contra: 0.0002 (0.0114) time: 2.5265 data: 0.0024 max mem: 31671 Epoch: [11] [4930/5278] eta: 0:14:43 lr: 3.634753170548286e-05 loss: 0.0965 (0.1036) loss_seg: 0.1024 (0.1116) loss_lansim: 0.1009 (0.1143) loss_contra: 0.0003 (0.0114) time: 2.5261 data: 0.0024 max mem: 31671 Epoch: [11] [4940/5278] eta: 0:14:17 lr: 3.634532332985886e-05 loss: 0.0965 (0.1037) loss_seg: 0.0979 (0.1117) loss_lansim: 0.1009 (0.1143) loss_contra: 0.0002 (0.0114) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [11] [4950/5278] eta: 0:13:52 lr: 3.6343114939325514e-05 loss: 0.0884 (0.1036) loss_seg: 0.0949 (0.1116) loss_lansim: 0.0994 (0.1142) loss_contra: 0.0002 (0.0114) time: 2.5276 data: 0.0024 max mem: 31671 Epoch: [11] [4960/5278] eta: 0:13:26 lr: 3.634090653388176e-05 loss: 0.0888 (0.1036) loss_seg: 0.0959 (0.1116) loss_lansim: 0.0984 (0.1142) loss_contra: 0.0002 (0.0114) time: 2.5316 data: 0.0024 max mem: 31671 Epoch: [11] [4970/5278] eta: 0:13:01 lr: 3.633869811352647e-05 loss: 0.0880 (0.1036) loss_seg: 0.0949 (0.1116) loss_lansim: 0.0983 (0.1142) loss_contra: 0.0002 (0.0114) time: 2.5401 data: 0.0024 max mem: 31671 Epoch: [11] [4980/5278] eta: 0:12:36 lr: 3.633648967825854e-05 loss: 0.0879 (0.1037) loss_seg: 0.0929 (0.1117) loss_lansim: 0.0983 (0.1142) loss_contra: 0.0002 (0.0114) time: 2.5432 data: 0.0024 max mem: 31671 Epoch: [11] [4990/5278] eta: 0:12:10 lr: 3.6334281228076865e-05 loss: 0.0857 (0.1037) loss_seg: 0.0882 (0.1117) loss_lansim: 0.0983 (0.1141) loss_contra: 0.0002 (0.0114) time: 2.5418 data: 0.0024 max mem: 31671 Epoch: [11] [5000/5278] eta: 0:11:45 lr: 3.633207276298033e-05 loss: 0.0857 (0.1037) loss_seg: 0.0882 (0.1117) loss_lansim: 0.0988 (0.1141) loss_contra: 0.0002 (0.0113) time: 2.5493 data: 0.0024 max mem: 31671 Epoch: [11] [5010/5278] eta: 0:11:20 lr: 3.632986428296784e-05 loss: 0.0857 (0.1037) loss_seg: 0.0934 (0.1117) loss_lansim: 0.1007 (0.1141) loss_contra: 0.0002 (0.0113) time: 2.5432 data: 0.0024 max mem: 31671 Epoch: [11] [5020/5278] eta: 0:10:54 lr: 3.6327655788038266e-05 loss: 0.0870 (0.1037) loss_seg: 0.0943 (0.1117) loss_lansim: 0.1024 (0.1141) loss_contra: 0.0002 (0.0114) time: 2.5431 data: 0.0024 max mem: 31671 Epoch: [11] [5030/5278] eta: 0:10:29 lr: 3.6325447278190514e-05 loss: 0.0942 (0.1037) loss_seg: 0.1032 (0.1117) loss_lansim: 0.1034 (0.1141) loss_contra: 0.0002 (0.0115) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [11] [5040/5278] eta: 0:10:03 lr: 3.632323875342347e-05 loss: 0.0892 (0.1037) loss_seg: 0.0975 (0.1117) loss_lansim: 0.1058 (0.1141) loss_contra: 0.0002 (0.0114) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [11] [5050/5278] eta: 0:09:38 lr: 3.6321030213736034e-05 loss: 0.0954 (0.1037) loss_seg: 0.1052 (0.1117) loss_lansim: 0.1087 (0.1141) loss_contra: 0.0002 (0.0116) time: 2.5452 data: 0.0025 max mem: 31671 Epoch: [11] [5060/5278] eta: 0:09:13 lr: 3.631882165912709e-05 loss: 0.0949 (0.1038) loss_seg: 0.1008 (0.1118) loss_lansim: 0.1099 (0.1141) loss_contra: 0.0004 (0.0116) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [11] [5070/5278] eta: 0:08:47 lr: 3.631661308959553e-05 loss: 0.0942 (0.1037) loss_seg: 0.1007 (0.1117) loss_lansim: 0.1115 (0.1141) loss_contra: 0.0003 (0.0116) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [11] [5080/5278] eta: 0:08:22 lr: 3.6314404505140245e-05 loss: 0.0942 (0.1037) loss_seg: 0.1007 (0.1117) loss_lansim: 0.1129 (0.1141) loss_contra: 0.0002 (0.0116) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [11] [5090/5278] eta: 0:07:57 lr: 3.631219590576012e-05 loss: 0.0942 (0.1037) loss_seg: 0.1008 (0.1117) loss_lansim: 0.1136 (0.1141) loss_contra: 0.0003 (0.0116) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [11] [5100/5278] eta: 0:07:31 lr: 3.630998729145406e-05 loss: 0.0919 (0.1037) loss_seg: 0.1007 (0.1117) loss_lansim: 0.1137 (0.1141) loss_contra: 0.0003 (0.0115) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [11] [5110/5278] eta: 0:07:06 lr: 3.6307778662220934e-05 loss: 0.0912 (0.1036) loss_seg: 0.0990 (0.1117) loss_lansim: 0.1147 (0.1141) loss_contra: 0.0004 (0.0115) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [11] [5120/5278] eta: 0:06:40 lr: 3.630557001805966e-05 loss: 0.0912 (0.1036) loss_seg: 0.0990 (0.1117) loss_lansim: 0.1147 (0.1141) loss_contra: 0.0004 (0.0115) time: 2.5262 data: 0.0026 max mem: 31671 Epoch: [11] [5130/5278] eta: 0:06:15 lr: 3.63033613589691e-05 loss: 0.0835 (0.1036) loss_seg: 0.0918 (0.1116) loss_lansim: 0.1137 (0.1141) loss_contra: 0.0003 (0.0115) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [11] [5140/5278] eta: 0:05:50 lr: 3.6301152684948164e-05 loss: 0.0830 (0.1035) loss_seg: 0.0881 (0.1116) loss_lansim: 0.1132 (0.1141) loss_contra: 0.0003 (0.0115) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [11] [5150/5278] eta: 0:05:24 lr: 3.6298943995995736e-05 loss: 0.0829 (0.1035) loss_seg: 0.0881 (0.1115) loss_lansim: 0.1116 (0.1141) loss_contra: 0.0002 (0.0114) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [11] [5160/5278] eta: 0:04:59 lr: 3.629673529211069e-05 loss: 0.0830 (0.1035) loss_seg: 0.0898 (0.1115) loss_lansim: 0.1125 (0.1141) loss_contra: 0.0002 (0.0114) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [11] [5170/5278] eta: 0:04:34 lr: 3.629452657329195e-05 loss: 0.0876 (0.1035) loss_seg: 0.0919 (0.1116) loss_lansim: 0.1116 (0.1141) loss_contra: 0.0002 (0.0114) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [11] [5180/5278] eta: 0:04:08 lr: 3.629231783953837e-05 loss: 0.0835 (0.1036) loss_seg: 0.0897 (0.1116) loss_lansim: 0.1118 (0.1141) loss_contra: 0.0003 (0.0114) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [11] [5190/5278] eta: 0:03:43 lr: 3.6290109090848856e-05 loss: 0.0806 (0.1035) loss_seg: 0.0870 (0.1115) loss_lansim: 0.1103 (0.1141) loss_contra: 0.0004 (0.0114) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [11] [5200/5278] eta: 0:03:17 lr: 3.62879003272223e-05 loss: 0.0789 (0.1035) loss_seg: 0.0855 (0.1115) loss_lansim: 0.1117 (0.1141) loss_contra: 0.0004 (0.0114) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [11] [5210/5278] eta: 0:02:52 lr: 3.628569154865758e-05 loss: 0.0876 (0.1035) loss_seg: 0.0897 (0.1115) loss_lansim: 0.1103 (0.1141) loss_contra: 0.0005 (0.0117) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [11] [5220/5278] eta: 0:02:27 lr: 3.6283482755153586e-05 loss: 0.0830 (0.1035) loss_seg: 0.0897 (0.1115) loss_lansim: 0.1118 (0.1141) loss_contra: 0.0007 (0.0121) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [11] [5230/5278] eta: 0:02:01 lr: 3.6281273946709224e-05 loss: 0.0891 (0.1035) loss_seg: 0.0932 (0.1115) loss_lansim: 0.1116 (0.1141) loss_contra: 0.0008 (0.0121) time: 2.5451 data: 0.0024 max mem: 31671 Epoch: [11] [5240/5278] eta: 0:01:36 lr: 3.627906512332335e-05 loss: 0.0909 (0.1035) loss_seg: 0.0964 (0.1115) loss_lansim: 0.1118 (0.1141) loss_contra: 0.0011 (0.0121) time: 2.5459 data: 0.0024 max mem: 31671 Epoch: [11] [5250/5278] eta: 0:01:11 lr: 3.6276856284994885e-05 loss: 0.0917 (0.1036) loss_seg: 0.0987 (0.1116) loss_lansim: 0.1123 (0.1141) loss_contra: 0.0013 (0.0122) time: 2.5411 data: 0.0024 max mem: 31671 Epoch: [11] [5260/5278] eta: 0:00:45 lr: 3.62746474317227e-05 loss: 0.0913 (0.1036) loss_seg: 0.0971 (0.1116) loss_lansim: 0.1119 (0.1141) loss_contra: 0.0014 (0.0122) time: 2.5403 data: 0.0024 max mem: 31671 Epoch: [11] [5270/5278] eta: 0:00:20 lr: 3.6272438563505676e-05 loss: 0.0891 (0.1035) loss_seg: 0.0964 (0.1115) loss_lansim: 0.1119 (0.1141) loss_contra: 0.0013 (0.0123) time: 2.5410 data: 0.0024 max mem: 31671 Epoch: [11] Total time: 3:43:15 Test: [ 0/2573] eta: 1:28:39 time: 2.0675 data: 1.8304 max mem: 31671 Test: [ 100/2573] eta: 0:06:37 time: 0.1416 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:04 time: 0.1465 data: 0.0014 max mem: 31671 Test: [ 300/2573] eta: 0:05:40 time: 0.1420 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:22 time: 0.1435 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:05 time: 0.1439 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:49 time: 0.1444 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:35 time: 0.1487 data: 0.0014 max mem: 31671 Test: [ 800/2573] eta: 0:04:20 time: 0.1461 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:05 time: 0.1454 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:50 time: 0.1435 data: 0.0014 max mem: 31671 Test: [1100/2573] eta: 0:03:35 time: 0.1431 data: 0.0014 max mem: 31671 Test: [1200/2573] eta: 0:03:20 time: 0.1459 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:05 time: 0.1449 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:50 time: 0.1414 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:36 time: 0.1452 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:21 time: 0.1438 data: 0.0014 max mem: 31671 Test: [1700/2573] eta: 0:02:07 time: 0.1456 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:52 time: 0.1441 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:37 time: 0.1429 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1428 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:08 time: 0.1470 data: 0.0017 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1425 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1478 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1441 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1454 data: 0.0015 max mem: 31671 Test: Total time: 0:06:14 Final results: precision@0.5 = 63.62 precision@0.6 = 57.97 precision@0.7 = 50.12 precision@0.8 = 38.95 precision@0.9 = 17.08 overall IoU = 55.59 mean IoU = 56.48 Average object IoU 0.5648390545964194 Overall IoU 55.58500919214044 Better epoch: 11 The best_performance is 55.58500919214044 Epoch: [12] [ 0/5278] eta: 6:10:30 lr: 3.627067145817104e-05 loss: 0.0628 (0.0628) loss_seg: 0.0692 (0.0692) loss_lansim: 0.1116 (0.1116) loss_contra: 0.0035 (0.0035) time: 4.2119 data: 1.3832 max mem: 31671 Epoch: [12] [ 10/5278] eta: 3:50:17 lr: 3.626846256305053e-05 loss: 0.0657 (0.0780) loss_seg: 0.0725 (0.0847) loss_lansim: 0.1116 (0.1154) loss_contra: 0.0035 (0.1036) time: 2.6230 data: 0.1273 max mem: 31671 Epoch: [12] [ 20/5278] eta: 3:44:33 lr: 3.626625365298207e-05 loss: 0.0793 (0.0931) loss_seg: 0.0876 (0.0994) loss_lansim: 0.1147 (0.1156) loss_contra: 0.0009 (0.0591) time: 2.5626 data: 0.0675 max mem: 31671 Epoch: [12] [ 30/5278] eta: 3:41:55 lr: 3.626404472796456e-05 loss: 0.0793 (0.0865) loss_seg: 0.0876 (0.0920) loss_lansim: 0.1180 (0.1162) loss_contra: 0.0006 (0.0418) time: 2.5373 data: 0.0465 max mem: 31671 Epoch: [12] [ 40/5278] eta: 3:42:33 lr: 3.626183578799687e-05 loss: 0.0719 (0.0933) loss_seg: 0.0793 (0.1005) loss_lansim: 0.1184 (0.1163) loss_contra: 0.0001 (0.0319) time: 2.5494 data: 0.0357 max mem: 31671 Epoch: [12] [ 50/5278] eta: 3:41:25 lr: 3.62596268330779e-05 loss: 0.0739 (0.0941) loss_seg: 0.0816 (0.1008) loss_lansim: 0.1163 (0.1165) loss_contra: 0.0001 (0.0280) time: 2.5411 data: 0.0292 max mem: 31671 Epoch: [12] [ 60/5278] eta: 3:40:39 lr: 3.625741786320654e-05 loss: 0.0702 (0.0924) loss_seg: 0.0775 (0.0993) loss_lansim: 0.1147 (0.1162) loss_contra: 0.0002 (0.0239) time: 2.5373 data: 0.0248 max mem: 31671 Epoch: [12] [ 70/5278] eta: 3:40:13 lr: 3.6255208878381664e-05 loss: 0.0739 (0.0932) loss_seg: 0.0816 (0.1002) loss_lansim: 0.1163 (0.1161) loss_contra: 0.0002 (0.0209) time: 2.5372 data: 0.0217 max mem: 31671 Epoch: [12] [ 80/5278] eta: 3:38:43 lr: 3.625299987860217e-05 loss: 0.0764 (0.0945) loss_seg: 0.0843 (0.1016) loss_lansim: 0.1163 (0.1164) loss_contra: 0.0001 (0.0183) time: 2.5248 data: 0.0194 max mem: 31671 Epoch: [12] [ 90/5278] eta: 3:38:22 lr: 3.6250790863866936e-05 loss: 0.0793 (0.0951) loss_seg: 0.0868 (0.1025) loss_lansim: 0.1163 (0.1160) loss_contra: 0.0002 (0.0231) time: 2.5256 data: 0.0175 max mem: 31671 Epoch: [12] [ 100/5278] eta: 3:38:13 lr: 3.624858183417484e-05 loss: 0.0765 (0.0940) loss_seg: 0.0846 (0.1015) loss_lansim: 0.1172 (0.1165) loss_contra: 0.0002 (0.0212) time: 2.5118 data: 0.0023 max mem: 31671 Epoch: [12] [ 110/5278] eta: 3:37:48 lr: 3.624637278952479e-05 loss: 0.0764 (0.0932) loss_seg: 0.0843 (0.1006) loss_lansim: 0.1180 (0.1165) loss_contra: 0.0001 (0.0209) time: 2.5184 data: 0.0024 max mem: 31671 Epoch: [12] [ 120/5278] eta: 3:37:33 lr: 3.6244163729915667e-05 loss: 0.0764 (0.0936) loss_seg: 0.0843 (0.1010) loss_lansim: 0.1169 (0.1156) loss_contra: 0.0002 (0.0195) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [12] [ 130/5278] eta: 3:37:09 lr: 3.624195465534634e-05 loss: 0.0794 (0.0950) loss_seg: 0.0868 (0.1028) loss_lansim: 0.1163 (0.1155) loss_contra: 0.0002 (0.0182) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [12] [ 140/5278] eta: 3:36:53 lr: 3.6239745565815706e-05 loss: 0.0794 (0.0935) loss_seg: 0.0868 (0.1010) loss_lansim: 0.1169 (0.1162) loss_contra: 0.0002 (0.0169) time: 2.5260 data: 0.0026 max mem: 31671 Epoch: [12] [ 150/5278] eta: 3:36:22 lr: 3.623753646132265e-05 loss: 0.0784 (0.0925) loss_seg: 0.0867 (0.1000) loss_lansim: 0.1169 (0.1163) loss_contra: 0.0002 (0.0159) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [12] [ 160/5278] eta: 3:35:52 lr: 3.623532734186606e-05 loss: 0.0765 (0.0902) loss_seg: 0.0846 (0.0974) loss_lansim: 0.1169 (0.1164) loss_contra: 0.0002 (0.0152) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [12] [ 170/5278] eta: 3:35:40 lr: 3.6233118207444806e-05 loss: 0.0765 (0.0918) loss_seg: 0.0846 (0.0991) loss_lansim: 0.1161 (0.1159) loss_contra: 0.0002 (0.0145) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [12] [ 180/5278] eta: 3:35:16 lr: 3.623090905805779e-05 loss: 0.0758 (0.0918) loss_seg: 0.0836 (0.0990) loss_lansim: 0.1151 (0.1158) loss_contra: 0.0002 (0.0141) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [12] [ 190/5278] eta: 3:34:49 lr: 3.62286998937039e-05 loss: 0.0758 (0.0931) loss_seg: 0.0836 (0.1005) loss_lansim: 0.1150 (0.1157) loss_contra: 0.0001 (0.0134) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [12] [ 200/5278] eta: 3:33:59 lr: 3.6226490714382e-05 loss: 0.0765 (0.0926) loss_seg: 0.0846 (0.0999) loss_lansim: 0.1150 (0.1158) loss_contra: 0.0002 (0.0178) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [12] [ 210/5278] eta: 3:33:51 lr: 3.622428152009099e-05 loss: 0.0759 (0.0916) loss_seg: 0.0839 (0.0990) loss_lansim: 0.1134 (0.1154) loss_contra: 0.0002 (0.0175) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [12] [ 220/5278] eta: 3:33:20 lr: 3.622207231082975e-05 loss: 0.0758 (0.0916) loss_seg: 0.0832 (0.0990) loss_lansim: 0.1134 (0.1152) loss_contra: 0.0002 (0.0173) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [12] [ 230/5278] eta: 3:33:05 lr: 3.621986308659715e-05 loss: 0.0731 (0.0911) loss_seg: 0.0781 (0.0985) loss_lansim: 0.1139 (0.1154) loss_contra: 0.0002 (0.0169) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [12] [ 240/5278] eta: 3:32:37 lr: 3.6217653847392105e-05 loss: 0.0753 (0.0911) loss_seg: 0.0811 (0.0984) loss_lansim: 0.1128 (0.1154) loss_contra: 0.0003 (0.0162) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [12] [ 250/5278] eta: 3:32:06 lr: 3.621544459321348e-05 loss: 0.0758 (0.0908) loss_seg: 0.0812 (0.0981) loss_lansim: 0.1101 (0.1154) loss_contra: 0.0003 (0.0158) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [12] [ 260/5278] eta: 3:32:02 lr: 3.621323532406016e-05 loss: 0.0786 (0.0904) loss_seg: 0.0859 (0.0977) loss_lansim: 0.1101 (0.1152) loss_contra: 0.0003 (0.0153) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [12] [ 270/5278] eta: 3:31:31 lr: 3.6211026039931024e-05 loss: 0.0822 (0.0911) loss_seg: 0.0859 (0.0985) loss_lansim: 0.1112 (0.1155) loss_contra: 0.0003 (0.0159) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [12] [ 280/5278] eta: 3:31:08 lr: 3.6208816740824965e-05 loss: 0.0822 (0.0904) loss_seg: 0.0859 (0.0978) loss_lansim: 0.1112 (0.1155) loss_contra: 0.0003 (0.0157) time: 2.5368 data: 0.0024 max mem: 31671 Epoch: [12] [ 290/5278] eta: 3:30:28 lr: 3.620660742674085e-05 loss: 0.0822 (0.0914) loss_seg: 0.0871 (0.0988) loss_lansim: 0.1129 (0.1155) loss_contra: 0.0004 (0.0212) time: 2.5289 data: 0.0024 max mem: 31671 Epoch: [12] [ 300/5278] eta: 3:30:09 lr: 3.6204398097677586e-05 loss: 0.0776 (0.0910) loss_seg: 0.0856 (0.0984) loss_lansim: 0.1106 (0.1154) loss_contra: 0.0005 (0.0207) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [12] [ 310/5278] eta: 3:29:47 lr: 3.620218875363403e-05 loss: 0.0804 (0.0906) loss_seg: 0.0859 (0.0981) loss_lansim: 0.1128 (0.1153) loss_contra: 0.0004 (0.0201) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [12] [ 320/5278] eta: 3:29:08 lr: 3.6199979394609084e-05 loss: 0.0822 (0.0906) loss_seg: 0.0871 (0.0981) loss_lansim: 0.1137 (0.1154) loss_contra: 0.0006 (0.0197) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [12] [ 330/5278] eta: 3:28:45 lr: 3.619777002060162e-05 loss: 0.0848 (0.0914) loss_seg: 0.0910 (0.0988) loss_lansim: 0.1146 (0.1156) loss_contra: 0.0006 (0.0193) time: 2.5285 data: 0.0024 max mem: 31671 Epoch: [12] [ 340/5278] eta: 3:28:19 lr: 3.6195560631610534e-05 loss: 0.0851 (0.0927) loss_seg: 0.0939 (0.1001) loss_lansim: 0.1152 (0.1156) loss_contra: 0.0007 (0.0188) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [12] [ 350/5278] eta: 3:27:54 lr: 3.6193351227634694e-05 loss: 0.0851 (0.0929) loss_seg: 0.0939 (0.1003) loss_lansim: 0.1159 (0.1155) loss_contra: 0.0006 (0.0183) time: 2.5315 data: 0.0024 max mem: 31671 Epoch: [12] [ 360/5278] eta: 3:27:28 lr: 3.619114180867298e-05 loss: 0.0853 (0.0929) loss_seg: 0.0941 (0.1002) loss_lansim: 0.1160 (0.1156) loss_contra: 0.0007 (0.0183) time: 2.5205 data: 0.0024 max mem: 31671 Epoch: [12] [ 370/5278] eta: 3:27:06 lr: 3.618893237472428e-05 loss: 0.0844 (0.0930) loss_seg: 0.0924 (0.1003) loss_lansim: 0.1155 (0.1158) loss_contra: 0.0008 (0.0179) time: 2.5256 data: 0.0024 max mem: 31671 Epoch: [12] [ 380/5278] eta: 3:26:47 lr: 3.618672292578748e-05 loss: 0.0837 (0.0927) loss_seg: 0.0922 (0.1000) loss_lansim: 0.1160 (0.1159) loss_contra: 0.0008 (0.0175) time: 2.5290 data: 0.0024 max mem: 31671 Epoch: [12] [ 390/5278] eta: 3:26:22 lr: 3.618451346186145e-05 loss: 0.0818 (0.0923) loss_seg: 0.0891 (0.0996) loss_lansim: 0.1160 (0.1160) loss_contra: 0.0006 (0.0171) time: 2.5373 data: 0.0024 max mem: 31671 Epoch: [12] [ 400/5278] eta: 3:26:01 lr: 3.618230398294509e-05 loss: 0.0807 (0.0917) loss_seg: 0.0888 (0.0989) loss_lansim: 0.1160 (0.1157) loss_contra: 0.0005 (0.0168) time: 2.5371 data: 0.0024 max mem: 31671 Epoch: [12] [ 410/5278] eta: 3:25:35 lr: 3.6180094489037264e-05 loss: 0.0837 (0.0919) loss_seg: 0.0922 (0.0992) loss_lansim: 0.1160 (0.1158) loss_contra: 0.0005 (0.0164) time: 2.5348 data: 0.0024 max mem: 31671 Epoch: [12] [ 420/5278] eta: 3:25:21 lr: 3.617788498013686e-05 loss: 0.0818 (0.0915) loss_seg: 0.0888 (0.0987) loss_lansim: 0.1155 (0.1158) loss_contra: 0.0004 (0.0163) time: 2.5540 data: 0.0024 max mem: 31671 Epoch: [12] [ 430/5278] eta: 3:24:55 lr: 3.6175675456242755e-05 loss: 0.0826 (0.0920) loss_seg: 0.0888 (0.0992) loss_lansim: 0.1148 (0.1158) loss_contra: 0.0004 (0.0160) time: 2.5516 data: 0.0024 max mem: 31671 Epoch: [12] [ 440/5278] eta: 3:24:19 lr: 3.6173465917353825e-05 loss: 0.0826 (0.0924) loss_seg: 0.0888 (0.0996) loss_lansim: 0.1132 (0.1156) loss_contra: 0.0004 (0.0157) time: 2.5432 data: 0.0024 max mem: 31671 Epoch: [12] [ 450/5278] eta: 3:23:49 lr: 3.617125636346897e-05 loss: 0.0830 (0.0922) loss_seg: 0.0888 (0.0993) loss_lansim: 0.1126 (0.1156) loss_contra: 0.0004 (0.0156) time: 2.5397 data: 0.0024 max mem: 31671 Epoch: [12] [ 460/5278] eta: 3:23:23 lr: 3.616904679458705e-05 loss: 0.0804 (0.0919) loss_seg: 0.0850 (0.0990) loss_lansim: 0.1126 (0.1156) loss_contra: 0.0004 (0.0153) time: 2.5386 data: 0.0024 max mem: 31671 Epoch: [12] [ 470/5278] eta: 3:22:52 lr: 3.616683721070696e-05 loss: 0.0830 (0.0923) loss_seg: 0.0850 (0.0993) loss_lansim: 0.1124 (0.1154) loss_contra: 0.0002 (0.0150) time: 2.5307 data: 0.0024 max mem: 31671 Epoch: [12] [ 480/5278] eta: 3:22:30 lr: 3.6164627611827575e-05 loss: 0.0830 (0.0918) loss_seg: 0.0850 (0.0988) loss_lansim: 0.1115 (0.1153) loss_contra: 0.0002 (0.0147) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [12] [ 490/5278] eta: 3:22:01 lr: 3.616241799794777e-05 loss: 0.0789 (0.0915) loss_seg: 0.0844 (0.0985) loss_lansim: 0.1100 (0.1151) loss_contra: 0.0002 (0.0144) time: 2.5255 data: 0.0024 max mem: 31671 Epoch: [12] [ 500/5278] eta: 3:21:29 lr: 3.6160208369066426e-05 loss: 0.0789 (0.0912) loss_seg: 0.0844 (0.0981) loss_lansim: 0.1100 (0.1149) loss_contra: 0.0003 (0.0142) time: 2.5149 data: 0.0024 max mem: 31671 Epoch: [12] [ 510/5278] eta: 3:21:03 lr: 3.615799872518242e-05 loss: 0.0759 (0.0911) loss_seg: 0.0818 (0.0980) loss_lansim: 0.1091 (0.1149) loss_contra: 0.0003 (0.0140) time: 2.5139 data: 0.0025 max mem: 31671 Epoch: [12] [ 520/5278] eta: 3:20:36 lr: 3.615578906629464e-05 loss: 0.0821 (0.0914) loss_seg: 0.0844 (0.0983) loss_lansim: 0.1100 (0.1151) loss_contra: 0.0002 (0.0138) time: 2.5015 data: 0.0025 max mem: 31671 Epoch: [12] [ 530/5278] eta: 3:20:16 lr: 3.615357939240197e-05 loss: 0.0762 (0.0917) loss_seg: 0.0839 (0.0986) loss_lansim: 0.1090 (0.1150) loss_contra: 0.0002 (0.0137) time: 2.5083 data: 0.0025 max mem: 31671 Epoch: [12] [ 540/5278] eta: 3:19:46 lr: 3.615136970350327e-05 loss: 0.0747 (0.0915) loss_seg: 0.0787 (0.0984) loss_lansim: 0.1090 (0.1149) loss_contra: 0.0002 (0.0134) time: 2.5119 data: 0.0025 max mem: 31671 Epoch: [12] [ 550/5278] eta: 3:19:29 lr: 3.614915999959743e-05 loss: 0.0725 (0.0911) loss_seg: 0.0778 (0.0980) loss_lansim: 0.1089 (0.1147) loss_contra: 0.0002 (0.0132) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [12] [ 560/5278] eta: 3:19:02 lr: 3.6146950280683335e-05 loss: 0.0726 (0.0913) loss_seg: 0.0778 (0.0981) loss_lansim: 0.1090 (0.1149) loss_contra: 0.0002 (0.0131) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [12] [ 570/5278] eta: 3:18:32 lr: 3.6144740546759845e-05 loss: 0.0726 (0.0916) loss_seg: 0.0787 (0.0986) loss_lansim: 0.1084 (0.1147) loss_contra: 0.0003 (0.0129) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [12] [ 580/5278] eta: 3:18:09 lr: 3.614253079782586e-05 loss: 0.0733 (0.0915) loss_seg: 0.0797 (0.0983) loss_lansim: 0.1091 (0.1148) loss_contra: 0.0002 (0.0127) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [12] [ 590/5278] eta: 3:17:41 lr: 3.614032103388025e-05 loss: 0.0803 (0.0921) loss_seg: 0.0848 (0.0990) loss_lansim: 0.1151 (0.1150) loss_contra: 0.0002 (0.0134) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [12] [ 600/5278] eta: 3:17:12 lr: 3.613811125492188e-05 loss: 0.0844 (0.0920) loss_seg: 0.0859 (0.0989) loss_lansim: 0.1161 (0.1151) loss_contra: 0.0002 (0.0132) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [12] [ 610/5278] eta: 3:16:52 lr: 3.6135901460949655e-05 loss: 0.0789 (0.0917) loss_seg: 0.0859 (0.0986) loss_lansim: 0.1158 (0.1151) loss_contra: 0.0002 (0.0130) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [12] [ 620/5278] eta: 3:16:27 lr: 3.613369165196242e-05 loss: 0.0733 (0.0921) loss_seg: 0.0807 (0.0991) loss_lansim: 0.1122 (0.1149) loss_contra: 0.0002 (0.0128) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [12] [ 630/5278] eta: 3:16:07 lr: 3.6131481827959086e-05 loss: 0.0726 (0.0919) loss_seg: 0.0798 (0.0989) loss_lansim: 0.1148 (0.1149) loss_contra: 0.0002 (0.0128) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [12] [ 640/5278] eta: 3:15:39 lr: 3.612927198893851e-05 loss: 0.0722 (0.0915) loss_seg: 0.0797 (0.0984) loss_lansim: 0.1151 (0.1148) loss_contra: 0.0002 (0.0127) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [12] [ 650/5278] eta: 3:15:18 lr: 3.612706213489957e-05 loss: 0.0739 (0.0919) loss_seg: 0.0807 (0.0989) loss_lansim: 0.1154 (0.1147) loss_contra: 0.0002 (0.0125) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [12] [ 660/5278] eta: 3:14:55 lr: 3.612485226584116e-05 loss: 0.0745 (0.0922) loss_seg: 0.0817 (0.0992) loss_lansim: 0.1106 (0.1146) loss_contra: 0.0002 (0.0124) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [12] [ 670/5278] eta: 3:14:30 lr: 3.612264238176213e-05 loss: 0.0745 (0.0920) loss_seg: 0.0817 (0.0990) loss_lansim: 0.1119 (0.1145) loss_contra: 0.0003 (0.0124) time: 2.5454 data: 0.0025 max mem: 31671 Epoch: [12] [ 680/5278] eta: 3:14:03 lr: 3.612043248266138e-05 loss: 0.0749 (0.0919) loss_seg: 0.0818 (0.0988) loss_lansim: 0.1096 (0.1145) loss_contra: 0.0003 (0.0123) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [12] [ 690/5278] eta: 3:13:41 lr: 3.611822256853777e-05 loss: 0.0752 (0.0921) loss_seg: 0.0826 (0.0991) loss_lansim: 0.1076 (0.1144) loss_contra: 0.0002 (0.0122) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [12] [ 700/5278] eta: 3:13:16 lr: 3.611601263939019e-05 loss: 0.0752 (0.0921) loss_seg: 0.0826 (0.0990) loss_lansim: 0.1072 (0.1143) loss_contra: 0.0001 (0.0120) time: 2.5548 data: 0.0025 max mem: 31671 Epoch: [12] [ 710/5278] eta: 3:12:45 lr: 3.611380269521751e-05 loss: 0.0771 (0.0919) loss_seg: 0.0831 (0.0988) loss_lansim: 0.1068 (0.1142) loss_contra: 0.0001 (0.0119) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [12] [ 720/5278] eta: 3:12:24 lr: 3.611159273601861e-05 loss: 0.0786 (0.0920) loss_seg: 0.0857 (0.0990) loss_lansim: 0.1074 (0.1141) loss_contra: 0.0002 (0.0117) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [12] [ 730/5278] eta: 3:12:03 lr: 3.610938276179235e-05 loss: 0.0771 (0.0918) loss_seg: 0.0852 (0.0987) loss_lansim: 0.1081 (0.1142) loss_contra: 0.0002 (0.0118) time: 2.5467 data: 0.0024 max mem: 31671 Epoch: [12] [ 740/5278] eta: 3:11:35 lr: 3.6107172772537635e-05 loss: 0.0825 (0.0919) loss_seg: 0.0869 (0.0989) loss_lansim: 0.1099 (0.1143) loss_contra: 0.0001 (0.0117) time: 2.5462 data: 0.0024 max mem: 31671 Epoch: [12] [ 750/5278] eta: 3:11:10 lr: 3.6104962768253317e-05 loss: 0.0848 (0.0919) loss_seg: 0.0873 (0.0988) loss_lansim: 0.1108 (0.1143) loss_contra: 0.0001 (0.0116) time: 2.5405 data: 0.0024 max mem: 31671 Epoch: [12] [ 760/5278] eta: 3:10:41 lr: 3.6102752748938276e-05 loss: 0.0848 (0.0920) loss_seg: 0.0873 (0.0991) loss_lansim: 0.1114 (0.1143) loss_contra: 0.0001 (0.0115) time: 2.5312 data: 0.0024 max mem: 31671 Epoch: [12] [ 770/5278] eta: 3:10:19 lr: 3.6100542714591403e-05 loss: 0.0883 (0.0920) loss_seg: 0.0926 (0.0990) loss_lansim: 0.1140 (0.1145) loss_contra: 0.0001 (0.0114) time: 2.5370 data: 0.0023 max mem: 31671 Epoch: [12] [ 780/5278] eta: 3:09:58 lr: 3.6098332665211545e-05 loss: 0.0884 (0.0922) loss_seg: 0.0937 (0.0992) loss_lansim: 0.1147 (0.1145) loss_contra: 0.0001 (0.0115) time: 2.5470 data: 0.0024 max mem: 31671 Epoch: [12] [ 790/5278] eta: 3:09:35 lr: 3.6096122600797605e-05 loss: 0.0780 (0.0921) loss_seg: 0.0832 (0.0991) loss_lansim: 0.1148 (0.1146) loss_contra: 0.0002 (0.0121) time: 2.5459 data: 0.0024 max mem: 31671 Epoch: [12] [ 800/5278] eta: 3:09:07 lr: 3.609391252134845e-05 loss: 0.0848 (0.0923) loss_seg: 0.0881 (0.0993) loss_lansim: 0.1149 (0.1146) loss_contra: 0.0002 (0.0122) time: 2.5408 data: 0.0024 max mem: 31671 Epoch: [12] [ 810/5278] eta: 3:08:42 lr: 3.6091702426862936e-05 loss: 0.0848 (0.0925) loss_seg: 0.0928 (0.0996) loss_lansim: 0.1168 (0.1147) loss_contra: 0.0002 (0.0121) time: 2.5504 data: 0.0024 max mem: 31671 Epoch: [12] [ 820/5278] eta: 3:08:20 lr: 3.6089492317339964e-05 loss: 0.0823 (0.0925) loss_seg: 0.0881 (0.0995) loss_lansim: 0.1181 (0.1147) loss_contra: 0.0003 (0.0120) time: 2.5509 data: 0.0024 max mem: 31671 Epoch: [12] [ 830/5278] eta: 3:07:52 lr: 3.608728219277839e-05 loss: 0.0888 (0.0928) loss_seg: 0.0984 (0.0998) loss_lansim: 0.1181 (0.1148) loss_contra: 0.0004 (0.0120) time: 2.5383 data: 0.0024 max mem: 31671 Epoch: [12] [ 840/5278] eta: 3:07:23 lr: 3.60850720531771e-05 loss: 0.0884 (0.0931) loss_seg: 0.0970 (0.1001) loss_lansim: 0.1166 (0.1148) loss_contra: 0.0006 (0.0122) time: 2.5348 data: 0.0024 max mem: 31671 Epoch: [12] [ 850/5278] eta: 3:06:58 lr: 3.608286189853496e-05 loss: 0.0871 (0.0928) loss_seg: 0.0964 (0.0999) loss_lansim: 0.1166 (0.1149) loss_contra: 0.0004 (0.0120) time: 2.5371 data: 0.0024 max mem: 31671 Epoch: [12] [ 860/5278] eta: 3:06:37 lr: 3.608065172885085e-05 loss: 0.0823 (0.0935) loss_seg: 0.0909 (0.1006) loss_lansim: 0.1168 (0.1149) loss_contra: 0.0005 (0.0122) time: 2.5516 data: 0.0024 max mem: 31671 Epoch: [12] [ 870/5278] eta: 3:06:14 lr: 3.607844154412364e-05 loss: 0.0796 (0.0938) loss_seg: 0.0862 (0.1009) loss_lansim: 0.1178 (0.1151) loss_contra: 0.0006 (0.0122) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [12] [ 880/5278] eta: 3:05:49 lr: 3.60762313443522e-05 loss: 0.0796 (0.0939) loss_seg: 0.0868 (0.1010) loss_lansim: 0.1204 (0.1152) loss_contra: 0.0005 (0.0122) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [12] [ 890/5278] eta: 3:05:24 lr: 3.607402112953542e-05 loss: 0.0841 (0.0941) loss_seg: 0.0928 (0.1013) loss_lansim: 0.1178 (0.1151) loss_contra: 0.0006 (0.0121) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [12] [ 900/5278] eta: 3:04:59 lr: 3.607181089967215e-05 loss: 0.0819 (0.0941) loss_seg: 0.0880 (0.1013) loss_lansim: 0.1166 (0.1151) loss_contra: 0.0004 (0.0120) time: 2.5450 data: 0.0025 max mem: 31671 Epoch: [12] [ 910/5278] eta: 3:04:34 lr: 3.6069600654761284e-05 loss: 0.0820 (0.0946) loss_seg: 0.0905 (0.1018) loss_lansim: 0.1156 (0.1151) loss_contra: 0.0004 (0.0119) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [12] [ 920/5278] eta: 3:04:08 lr: 3.606739039480168e-05 loss: 0.0820 (0.0945) loss_seg: 0.0883 (0.1017) loss_lansim: 0.1155 (0.1151) loss_contra: 0.0004 (0.0122) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [12] [ 930/5278] eta: 3:03:42 lr: 3.6065180119792224e-05 loss: 0.0820 (0.0947) loss_seg: 0.0883 (0.1020) loss_lansim: 0.1146 (0.1151) loss_contra: 0.0003 (0.0121) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [12] [ 940/5278] eta: 3:03:22 lr: 3.606296982973177e-05 loss: 0.0824 (0.0946) loss_seg: 0.0883 (0.1019) loss_lansim: 0.1147 (0.1151) loss_contra: 0.0003 (0.0123) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [12] [ 950/5278] eta: 3:02:51 lr: 3.606075952461921e-05 loss: 0.0862 (0.0947) loss_seg: 0.0947 (0.1020) loss_lansim: 0.1150 (0.1151) loss_contra: 0.0003 (0.0122) time: 2.5467 data: 0.0025 max mem: 31671 Epoch: [12] [ 960/5278] eta: 3:02:25 lr: 3.6058549204453406e-05 loss: 0.0864 (0.0950) loss_seg: 0.0955 (0.1023) loss_lansim: 0.1157 (0.1151) loss_contra: 0.0002 (0.0122) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [12] [ 970/5278] eta: 3:02:01 lr: 3.605633886923323e-05 loss: 0.0892 (0.0954) loss_seg: 0.0985 (0.1028) loss_lansim: 0.1150 (0.1152) loss_contra: 0.0003 (0.0122) time: 2.5357 data: 0.0024 max mem: 31671 Epoch: [12] [ 980/5278] eta: 3:01:34 lr: 3.6054128518957565e-05 loss: 0.0930 (0.0956) loss_seg: 0.1028 (0.1030) loss_lansim: 0.1146 (0.1151) loss_contra: 0.0002 (0.0120) time: 2.5329 data: 0.0024 max mem: 31671 Epoch: [12] [ 990/5278] eta: 3:01:06 lr: 3.605191815362526e-05 loss: 0.0930 (0.0957) loss_seg: 0.1028 (0.1032) loss_lansim: 0.1150 (0.1151) loss_contra: 0.0002 (0.0120) time: 2.5257 data: 0.0024 max mem: 31671 Epoch: [12] [1000/5278] eta: 3:00:43 lr: 3.6049707773235216e-05 loss: 0.0960 (0.0958) loss_seg: 0.1039 (0.1033) loss_lansim: 0.1140 (0.1150) loss_contra: 0.0003 (0.0119) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [12] [1010/5278] eta: 3:00:19 lr: 3.6047497377786285e-05 loss: 0.0939 (0.0959) loss_seg: 0.1038 (0.1034) loss_lansim: 0.1140 (0.1151) loss_contra: 0.0003 (0.0118) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [12] [1020/5278] eta: 2:59:51 lr: 3.604528696727734e-05 loss: 0.0960 (0.0957) loss_seg: 0.1039 (0.1031) loss_lansim: 0.1140 (0.1150) loss_contra: 0.0003 (0.0117) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [12] [1030/5278] eta: 2:59:26 lr: 3.604307654170725e-05 loss: 0.0977 (0.0959) loss_seg: 0.1074 (0.1034) loss_lansim: 0.1144 (0.1151) loss_contra: 0.0003 (0.0116) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [12] [1040/5278] eta: 2:59:03 lr: 3.6040866101074906e-05 loss: 0.0984 (0.0961) loss_seg: 0.1084 (0.1036) loss_lansim: 0.1136 (0.1150) loss_contra: 0.0003 (0.0115) time: 2.5213 data: 0.0024 max mem: 31671 Epoch: [12] [1050/5278] eta: 2:58:36 lr: 3.603865564537916e-05 loss: 0.0975 (0.0959) loss_seg: 0.1072 (0.1034) loss_lansim: 0.1123 (0.1149) loss_contra: 0.0003 (0.0114) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [12] [1060/5278] eta: 2:58:08 lr: 3.6036445174618874e-05 loss: 0.0977 (0.0960) loss_seg: 0.1074 (0.1035) loss_lansim: 0.1112 (0.1148) loss_contra: 0.0003 (0.0116) time: 2.5268 data: 0.0025 max mem: 31671 Epoch: [12] [1070/5278] eta: 2:57:42 lr: 3.603423468879294e-05 loss: 0.0977 (0.0965) loss_seg: 0.1072 (0.1041) loss_lansim: 0.1112 (0.1149) loss_contra: 0.0002 (0.0115) time: 2.5212 data: 0.0024 max mem: 31671 Epoch: [12] [1080/5278] eta: 2:57:19 lr: 3.603202418790023e-05 loss: 0.0977 (0.0968) loss_seg: 0.1072 (0.1044) loss_lansim: 0.1097 (0.1148) loss_contra: 0.0002 (0.0115) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [12] [1090/5278] eta: 2:56:53 lr: 3.6029813671939596e-05 loss: 0.0975 (0.0967) loss_seg: 0.1072 (0.1043) loss_lansim: 0.1090 (0.1147) loss_contra: 0.0002 (0.0114) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [12] [1100/5278] eta: 2:56:26 lr: 3.602760314090991e-05 loss: 0.0831 (0.0967) loss_seg: 0.0902 (0.1043) loss_lansim: 0.1087 (0.1147) loss_contra: 0.0002 (0.0113) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [12] [1110/5278] eta: 2:56:00 lr: 3.6025392594810056e-05 loss: 0.0842 (0.0966) loss_seg: 0.0918 (0.1042) loss_lansim: 0.1081 (0.1147) loss_contra: 0.0002 (0.0112) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [12] [1120/5278] eta: 2:55:34 lr: 3.60231820336389e-05 loss: 0.0858 (0.0965) loss_seg: 0.0932 (0.1041) loss_lansim: 0.1081 (0.1146) loss_contra: 0.0002 (0.0111) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [12] [1130/5278] eta: 2:55:07 lr: 3.60209714573953e-05 loss: 0.0815 (0.0963) loss_seg: 0.0894 (0.1038) loss_lansim: 0.1084 (0.1147) loss_contra: 0.0002 (0.0111) time: 2.5171 data: 0.0025 max mem: 31671 Epoch: [12] [1140/5278] eta: 2:54:40 lr: 3.6018760866078136e-05 loss: 0.0858 (0.0963) loss_seg: 0.0920 (0.1039) loss_lansim: 0.1093 (0.1147) loss_contra: 0.0002 (0.0110) time: 2.5096 data: 0.0024 max mem: 31671 Epoch: [12] [1150/5278] eta: 2:54:14 lr: 3.601655025968627e-05 loss: 0.0858 (0.0964) loss_seg: 0.0920 (0.1039) loss_lansim: 0.1110 (0.1147) loss_contra: 0.0002 (0.0110) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [12] [1160/5278] eta: 2:53:51 lr: 3.601433963821858e-05 loss: 0.0831 (0.0963) loss_seg: 0.0918 (0.1039) loss_lansim: 0.1123 (0.1147) loss_contra: 0.0002 (0.0109) time: 2.5235 data: 0.0024 max mem: 31671 Epoch: [12] [1170/5278] eta: 2:53:27 lr: 3.601212900167393e-05 loss: 0.0807 (0.0962) loss_seg: 0.0894 (0.1037) loss_lansim: 0.1118 (0.1147) loss_contra: 0.0002 (0.0109) time: 2.5301 data: 0.0024 max mem: 31671 Epoch: [12] [1180/5278] eta: 2:53:03 lr: 3.600991835005119e-05 loss: 0.0807 (0.0963) loss_seg: 0.0894 (0.1038) loss_lansim: 0.1123 (0.1146) loss_contra: 0.0002 (0.0109) time: 2.5270 data: 0.0024 max mem: 31671 Epoch: [12] [1190/5278] eta: 2:52:38 lr: 3.6007707683349234e-05 loss: 0.0807 (0.0962) loss_seg: 0.0894 (0.1038) loss_lansim: 0.1123 (0.1146) loss_contra: 0.0002 (0.0108) time: 2.5320 data: 0.0024 max mem: 31671 Epoch: [12] [1200/5278] eta: 2:52:16 lr: 3.600549700156692e-05 loss: 0.0807 (0.0961) loss_seg: 0.0894 (0.1037) loss_lansim: 0.1125 (0.1146) loss_contra: 0.0002 (0.0108) time: 2.5416 data: 0.0024 max mem: 31671 Epoch: [12] [1210/5278] eta: 2:51:51 lr: 3.600328630470312e-05 loss: 0.0802 (0.0959) loss_seg: 0.0886 (0.1035) loss_lansim: 0.1125 (0.1145) loss_contra: 0.0002 (0.0108) time: 2.5461 data: 0.0024 max mem: 31671 Epoch: [12] [1220/5278] eta: 2:51:24 lr: 3.60010755927567e-05 loss: 0.0765 (0.0957) loss_seg: 0.0797 (0.1033) loss_lansim: 0.1125 (0.1145) loss_contra: 0.0003 (0.0109) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [12] [1230/5278] eta: 2:50:58 lr: 3.599886486572653e-05 loss: 0.0720 (0.0955) loss_seg: 0.0797 (0.1031) loss_lansim: 0.1125 (0.1145) loss_contra: 0.0003 (0.0108) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [12] [1240/5278] eta: 2:50:32 lr: 3.5996654123611483e-05 loss: 0.0671 (0.0953) loss_seg: 0.0740 (0.1029) loss_lansim: 0.1118 (0.1144) loss_contra: 0.0003 (0.0108) time: 2.5488 data: 0.0025 max mem: 31671 Epoch: [12] [1250/5278] eta: 2:50:07 lr: 3.599444336641043e-05 loss: 0.0672 (0.0952) loss_seg: 0.0741 (0.1027) loss_lansim: 0.1108 (0.1144) loss_contra: 0.0003 (0.0110) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [12] [1260/5278] eta: 2:49:40 lr: 3.5992232594122216e-05 loss: 0.0672 (0.0952) loss_seg: 0.0740 (0.1027) loss_lansim: 0.1108 (0.1145) loss_contra: 0.0003 (0.0109) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [12] [1270/5278] eta: 2:49:18 lr: 3.599002180674574e-05 loss: 0.0712 (0.0952) loss_seg: 0.0785 (0.1027) loss_lansim: 0.1099 (0.1144) loss_contra: 0.0004 (0.0109) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [12] [1280/5278] eta: 2:48:53 lr: 3.598781100427984e-05 loss: 0.0688 (0.0951) loss_seg: 0.0741 (0.1027) loss_lansim: 0.1080 (0.1144) loss_contra: 0.0006 (0.0109) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [12] [1290/5278] eta: 2:48:28 lr: 3.5985600186723395e-05 loss: 0.0720 (0.0951) loss_seg: 0.0786 (0.1027) loss_lansim: 0.1102 (0.1145) loss_contra: 0.0006 (0.0108) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [12] [1300/5278] eta: 2:48:01 lr: 3.598338935407528e-05 loss: 0.0732 (0.0951) loss_seg: 0.0798 (0.1026) loss_lansim: 0.1115 (0.1145) loss_contra: 0.0007 (0.0107) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [12] [1310/5278] eta: 2:47:33 lr: 3.598117850633435e-05 loss: 0.0768 (0.0952) loss_seg: 0.0822 (0.1027) loss_lansim: 0.1118 (0.1145) loss_contra: 0.0007 (0.0108) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [12] [1320/5278] eta: 2:47:09 lr: 3.597896764349948e-05 loss: 0.0796 (0.0952) loss_seg: 0.0848 (0.1027) loss_lansim: 0.1122 (0.1145) loss_contra: 0.0006 (0.0107) time: 2.5308 data: 0.0024 max mem: 31671 Epoch: [12] [1330/5278] eta: 2:46:45 lr: 3.5976756765569524e-05 loss: 0.0807 (0.0950) loss_seg: 0.0888 (0.1025) loss_lansim: 0.1115 (0.1145) loss_contra: 0.0005 (0.0106) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [12] [1340/5278] eta: 2:46:22 lr: 3.5974545872543366e-05 loss: 0.0812 (0.0948) loss_seg: 0.0889 (0.1024) loss_lansim: 0.1115 (0.1144) loss_contra: 0.0005 (0.0106) time: 2.5448 data: 0.0024 max mem: 31671 Epoch: [12] [1350/5278] eta: 2:45:58 lr: 3.597233496441986e-05 loss: 0.0811 (0.0947) loss_seg: 0.0891 (0.1022) loss_lansim: 0.1115 (0.1145) loss_contra: 0.0005 (0.0105) time: 2.5477 data: 0.0024 max mem: 31671 Epoch: [12] [1360/5278] eta: 2:45:31 lr: 3.597012404119787e-05 loss: 0.0810 (0.0947) loss_seg: 0.0888 (0.1022) loss_lansim: 0.1121 (0.1145) loss_contra: 0.0005 (0.0107) time: 2.5483 data: 0.0024 max mem: 31671 Epoch: [12] [1370/5278] eta: 2:45:05 lr: 3.5967913102876265e-05 loss: 0.0807 (0.0948) loss_seg: 0.0848 (0.1023) loss_lansim: 0.1123 (0.1144) loss_contra: 0.0003 (0.0106) time: 2.5350 data: 0.0024 max mem: 31671 Epoch: [12] [1380/5278] eta: 2:44:40 lr: 3.5965702149453914e-05 loss: 0.0810 (0.0948) loss_seg: 0.0882 (0.1023) loss_lansim: 0.1123 (0.1144) loss_contra: 0.0002 (0.0106) time: 2.5371 data: 0.0023 max mem: 31671 Epoch: [12] [1390/5278] eta: 2:44:15 lr: 3.5963491180929684e-05 loss: 0.0807 (0.0947) loss_seg: 0.0848 (0.1022) loss_lansim: 0.1121 (0.1144) loss_contra: 0.0002 (0.0105) time: 2.5371 data: 0.0023 max mem: 31671 Epoch: [12] [1400/5278] eta: 2:43:51 lr: 3.5961280197302436e-05 loss: 0.0811 (0.0946) loss_seg: 0.0882 (0.1021) loss_lansim: 0.1115 (0.1143) loss_contra: 0.0002 (0.0106) time: 2.5453 data: 0.0023 max mem: 31671 Epoch: [12] [1410/5278] eta: 2:43:27 lr: 3.595906919857103e-05 loss: 0.0769 (0.0946) loss_seg: 0.0838 (0.1021) loss_lansim: 0.1107 (0.1143) loss_contra: 0.0002 (0.0106) time: 2.5580 data: 0.0023 max mem: 31671 Epoch: [12] [1420/5278] eta: 2:43:04 lr: 3.5956858184734335e-05 loss: 0.0748 (0.0944) loss_seg: 0.0804 (0.1019) loss_lansim: 0.1098 (0.1143) loss_contra: 0.0002 (0.0105) time: 2.5618 data: 0.0023 max mem: 31671 Epoch: [12] [1430/5278] eta: 2:42:39 lr: 3.595464715579123e-05 loss: 0.0757 (0.0944) loss_seg: 0.0826 (0.1019) loss_lansim: 0.1103 (0.1143) loss_contra: 0.0001 (0.0105) time: 2.5607 data: 0.0023 max mem: 31671 Epoch: [12] [1440/5278] eta: 2:42:13 lr: 3.595243611174055e-05 loss: 0.0761 (0.0946) loss_seg: 0.0827 (0.1021) loss_lansim: 0.1121 (0.1143) loss_contra: 0.0002 (0.0105) time: 2.5534 data: 0.0023 max mem: 31671 Epoch: [12] [1450/5278] eta: 2:41:47 lr: 3.5950225052581185e-05 loss: 0.0764 (0.0947) loss_seg: 0.0838 (0.1022) loss_lansim: 0.1109 (0.1143) loss_contra: 0.0003 (0.0107) time: 2.5462 data: 0.0023 max mem: 31671 Epoch: [12] [1460/5278] eta: 2:41:22 lr: 3.594801397831199e-05 loss: 0.0798 (0.0946) loss_seg: 0.0826 (0.1021) loss_lansim: 0.1109 (0.1143) loss_contra: 0.0003 (0.0109) time: 2.5508 data: 0.0023 max mem: 31671 Epoch: [12] [1470/5278] eta: 2:40:57 lr: 3.594580288893183e-05 loss: 0.0750 (0.0945) loss_seg: 0.0788 (0.1020) loss_lansim: 0.1098 (0.1143) loss_contra: 0.0005 (0.0108) time: 2.5577 data: 0.0023 max mem: 31671 Epoch: [12] [1480/5278] eta: 2:40:31 lr: 3.5943591784439565e-05 loss: 0.0744 (0.0944) loss_seg: 0.0786 (0.1018) loss_lansim: 0.1098 (0.1142) loss_contra: 0.0005 (0.0108) time: 2.5502 data: 0.0023 max mem: 31671 Epoch: [12] [1490/5278] eta: 2:40:04 lr: 3.5941380664834066e-05 loss: 0.0739 (0.0943) loss_seg: 0.0786 (0.1017) loss_lansim: 0.1082 (0.1142) loss_contra: 0.0006 (0.0108) time: 2.5451 data: 0.0023 max mem: 31671 Epoch: [12] [1500/5278] eta: 2:39:38 lr: 3.5939169530114186e-05 loss: 0.0730 (0.0942) loss_seg: 0.0783 (0.1017) loss_lansim: 0.1067 (0.1141) loss_contra: 0.0004 (0.0107) time: 2.5372 data: 0.0024 max mem: 31671 Epoch: [12] [1510/5278] eta: 2:39:11 lr: 3.5936958380278806e-05 loss: 0.0739 (0.0943) loss_seg: 0.0786 (0.1017) loss_lansim: 0.1067 (0.1141) loss_contra: 0.0004 (0.0107) time: 2.5266 data: 0.0024 max mem: 31671 Epoch: [12] [1520/5278] eta: 2:38:45 lr: 3.593474721532676e-05 loss: 0.0759 (0.0942) loss_seg: 0.0791 (0.1016) loss_lansim: 0.1064 (0.1140) loss_contra: 0.0004 (0.0106) time: 2.5158 data: 0.0024 max mem: 31671 Epoch: [12] [1530/5278] eta: 2:38:21 lr: 3.593253603525695e-05 loss: 0.0764 (0.0942) loss_seg: 0.0800 (0.1016) loss_lansim: 0.1062 (0.1140) loss_contra: 0.0005 (0.0106) time: 2.5187 data: 0.0024 max mem: 31671 Epoch: [12] [1540/5278] eta: 2:37:55 lr: 3.5930324840068205e-05 loss: 0.0739 (0.0940) loss_seg: 0.0786 (0.1014) loss_lansim: 0.1046 (0.1139) loss_contra: 0.0005 (0.0108) time: 2.5168 data: 0.0025 max mem: 31671 Epoch: [12] [1550/5278] eta: 2:37:27 lr: 3.592811362975941e-05 loss: 0.0739 (0.0945) loss_seg: 0.0786 (0.1019) loss_lansim: 0.1046 (0.1139) loss_contra: 0.0004 (0.0107) time: 2.5107 data: 0.0025 max mem: 31671 Epoch: [12] [1560/5278] eta: 2:37:01 lr: 3.5925902404329415e-05 loss: 0.0754 (0.0944) loss_seg: 0.0800 (0.1019) loss_lansim: 0.1042 (0.1138) loss_contra: 0.0005 (0.0110) time: 2.5071 data: 0.0024 max mem: 31671 Epoch: [12] [1570/5278] eta: 2:36:34 lr: 3.5923691163777085e-05 loss: 0.0782 (0.0945) loss_seg: 0.0831 (0.1019) loss_lansim: 0.1054 (0.1138) loss_contra: 0.0004 (0.0110) time: 2.4954 data: 0.0025 max mem: 31671 Epoch: [12] [1580/5278] eta: 2:36:10 lr: 3.5921479908101286e-05 loss: 0.0782 (0.0944) loss_seg: 0.0831 (0.1018) loss_lansim: 0.1062 (0.1138) loss_contra: 0.0004 (0.0109) time: 2.5066 data: 0.0025 max mem: 31671 Epoch: [12] [1590/5278] eta: 2:35:45 lr: 3.591926863730088e-05 loss: 0.0808 (0.0945) loss_seg: 0.0866 (0.1019) loss_lansim: 0.1064 (0.1137) loss_contra: 0.0003 (0.0108) time: 2.5095 data: 0.0025 max mem: 31671 Epoch: [12] [1600/5278] eta: 2:35:20 lr: 3.5917057351374716e-05 loss: 0.0833 (0.0945) loss_seg: 0.0908 (0.1019) loss_lansim: 0.1064 (0.1137) loss_contra: 0.0004 (0.0108) time: 2.5168 data: 0.0025 max mem: 31671 Epoch: [12] [1610/5278] eta: 2:34:53 lr: 3.5914846050321675e-05 loss: 0.0834 (0.0945) loss_seg: 0.0923 (0.1020) loss_lansim: 0.1069 (0.1136) loss_contra: 0.0004 (0.0108) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [12] [1620/5278] eta: 2:34:31 lr: 3.591263473414061e-05 loss: 0.0833 (0.0944) loss_seg: 0.0915 (0.1018) loss_lansim: 0.1057 (0.1136) loss_contra: 0.0004 (0.0107) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [12] [1630/5278] eta: 2:34:06 lr: 3.591042340283038e-05 loss: 0.0814 (0.0943) loss_seg: 0.0901 (0.1017) loss_lansim: 0.1054 (0.1135) loss_contra: 0.0004 (0.0107) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [12] [1640/5278] eta: 2:33:43 lr: 3.590821205638986e-05 loss: 0.0814 (0.0941) loss_seg: 0.0901 (0.1015) loss_lansim: 0.1054 (0.1134) loss_contra: 0.0005 (0.0106) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [12] [1650/5278] eta: 2:33:18 lr: 3.590600069481788e-05 loss: 0.0782 (0.0940) loss_seg: 0.0831 (0.1014) loss_lansim: 0.1046 (0.1134) loss_contra: 0.0005 (0.0106) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [12] [1660/5278] eta: 2:32:54 lr: 3.590378931811334e-05 loss: 0.0742 (0.0940) loss_seg: 0.0821 (0.1014) loss_lansim: 0.1035 (0.1133) loss_contra: 0.0005 (0.0106) time: 2.5631 data: 0.0025 max mem: 31671 Epoch: [12] [1670/5278] eta: 2:32:28 lr: 3.5901577926275074e-05 loss: 0.0741 (0.0942) loss_seg: 0.0820 (0.1016) loss_lansim: 0.1001 (0.1131) loss_contra: 0.0005 (0.0108) time: 2.5662 data: 0.0025 max mem: 31671 Epoch: [12] [1680/5278] eta: 2:32:02 lr: 3.5899366519301945e-05 loss: 0.0741 (0.0942) loss_seg: 0.0820 (0.1016) loss_lansim: 0.1001 (0.1131) loss_contra: 0.0005 (0.0108) time: 2.5600 data: 0.0024 max mem: 31671 Epoch: [12] [1690/5278] eta: 2:31:38 lr: 3.589715509719283e-05 loss: 0.0729 (0.0941) loss_seg: 0.0801 (0.1016) loss_lansim: 0.1021 (0.1131) loss_contra: 0.0006 (0.0107) time: 2.5639 data: 0.0024 max mem: 31671 Epoch: [12] [1700/5278] eta: 2:31:11 lr: 3.589494365994657e-05 loss: 0.0719 (0.0941) loss_seg: 0.0795 (0.1015) loss_lansim: 0.0996 (0.1130) loss_contra: 0.0005 (0.0107) time: 2.5534 data: 0.0024 max mem: 31671 Epoch: [12] [1710/5278] eta: 2:30:45 lr: 3.589273220756204e-05 loss: 0.0652 (0.0939) loss_seg: 0.0720 (0.1013) loss_lansim: 0.0991 (0.1129) loss_contra: 0.0005 (0.0107) time: 2.5573 data: 0.0023 max mem: 31671 Epoch: [12] [1720/5278] eta: 2:30:20 lr: 3.589052074003809e-05 loss: 0.0633 (0.0938) loss_seg: 0.0699 (0.1012) loss_lansim: 0.0992 (0.1129) loss_contra: 0.0005 (0.0107) time: 2.5490 data: 0.0023 max mem: 31671 Epoch: [12] [1730/5278] eta: 2:29:54 lr: 3.588830925737358e-05 loss: 0.0642 (0.0937) loss_seg: 0.0710 (0.1012) loss_lansim: 0.0992 (0.1128) loss_contra: 0.0003 (0.0106) time: 2.5393 data: 0.0023 max mem: 31671 Epoch: [12] [1740/5278] eta: 2:29:30 lr: 3.5886097759567384e-05 loss: 0.0684 (0.0941) loss_seg: 0.0758 (0.1015) loss_lansim: 0.1024 (0.1128) loss_contra: 0.0002 (0.0106) time: 2.5409 data: 0.0023 max mem: 31671 Epoch: [12] [1750/5278] eta: 2:29:05 lr: 3.5883886246618344e-05 loss: 0.0706 (0.0940) loss_seg: 0.0777 (0.1014) loss_lansim: 0.1037 (0.1128) loss_contra: 0.0001 (0.0106) time: 2.5390 data: 0.0023 max mem: 31671 Epoch: [12] [1760/5278] eta: 2:28:40 lr: 3.5881674718525325e-05 loss: 0.0730 (0.0941) loss_seg: 0.0807 (0.1015) loss_lansim: 0.1050 (0.1128) loss_contra: 0.0002 (0.0105) time: 2.5347 data: 0.0023 max mem: 31671 Epoch: [12] [1770/5278] eta: 2:28:15 lr: 3.587946317528719e-05 loss: 0.0757 (0.0942) loss_seg: 0.0827 (0.1016) loss_lansim: 0.1060 (0.1128) loss_contra: 0.0002 (0.0105) time: 2.5380 data: 0.0023 max mem: 31671 Epoch: [12] [1780/5278] eta: 2:27:50 lr: 3.58772516169028e-05 loss: 0.0795 (0.0941) loss_seg: 0.0849 (0.1015) loss_lansim: 0.1070 (0.1128) loss_contra: 0.0001 (0.0104) time: 2.5429 data: 0.0023 max mem: 31671 Epoch: [12] [1790/5278] eta: 2:27:24 lr: 3.5875040043371e-05 loss: 0.0814 (0.0941) loss_seg: 0.0849 (0.1015) loss_lansim: 0.1055 (0.1127) loss_contra: 0.0001 (0.0104) time: 2.5339 data: 0.0023 max mem: 31671 Epoch: [12] [1800/5278] eta: 2:27:00 lr: 3.5872828454690664e-05 loss: 0.0795 (0.0940) loss_seg: 0.0849 (0.1014) loss_lansim: 0.1058 (0.1126) loss_contra: 0.0002 (0.0104) time: 2.5519 data: 0.0023 max mem: 31671 Epoch: [12] [1810/5278] eta: 2:26:34 lr: 3.5870616850860634e-05 loss: 0.0818 (0.0940) loss_seg: 0.0904 (0.1015) loss_lansim: 0.1058 (0.1126) loss_contra: 0.0002 (0.0104) time: 2.5505 data: 0.0024 max mem: 31671 Epoch: [12] [1820/5278] eta: 2:26:07 lr: 3.586840523187979e-05 loss: 0.0829 (0.0941) loss_seg: 0.0907 (0.1015) loss_lansim: 0.1055 (0.1125) loss_contra: 0.0002 (0.0103) time: 2.5394 data: 0.0024 max mem: 31671 Epoch: [12] [1830/5278] eta: 2:25:42 lr: 3.5866193597746976e-05 loss: 0.0859 (0.0941) loss_seg: 0.0909 (0.1016) loss_lansim: 0.1053 (0.1125) loss_contra: 0.0002 (0.0103) time: 2.5466 data: 0.0024 max mem: 31671 Epoch: [12] [1840/5278] eta: 2:25:17 lr: 3.586398194846105e-05 loss: 0.0846 (0.0940) loss_seg: 0.0908 (0.1014) loss_lansim: 0.1048 (0.1125) loss_contra: 0.0002 (0.0103) time: 2.5339 data: 0.0024 max mem: 31671 Epoch: [12] [1850/5278] eta: 2:24:51 lr: 3.586177028402088e-05 loss: 0.0818 (0.0939) loss_seg: 0.0900 (0.1013) loss_lansim: 0.1044 (0.1125) loss_contra: 0.0003 (0.0103) time: 2.5348 data: 0.0024 max mem: 31671 Epoch: [12] [1860/5278] eta: 2:24:26 lr: 3.5859558604425306e-05 loss: 0.0782 (0.0939) loss_seg: 0.0864 (0.1014) loss_lansim: 0.1040 (0.1124) loss_contra: 0.0003 (0.0102) time: 2.5289 data: 0.0024 max mem: 31671 Epoch: [12] [1870/5278] eta: 2:24:00 lr: 3.585734690967321e-05 loss: 0.0755 (0.0940) loss_seg: 0.0832 (0.1015) loss_lansim: 0.1038 (0.1124) loss_contra: 0.0003 (0.0102) time: 2.5292 data: 0.0024 max mem: 31671 Epoch: [12] [1880/5278] eta: 2:23:35 lr: 3.585513519976342e-05 loss: 0.0753 (0.0940) loss_seg: 0.0816 (0.1015) loss_lansim: 0.1023 (0.1123) loss_contra: 0.0004 (0.0101) time: 2.5290 data: 0.0024 max mem: 31671 Epoch: [12] [1890/5278] eta: 2:23:10 lr: 3.585292347469482e-05 loss: 0.0764 (0.0940) loss_seg: 0.0832 (0.1015) loss_lansim: 0.1038 (0.1123) loss_contra: 0.0004 (0.0101) time: 2.5317 data: 0.0024 max mem: 31671 Epoch: [12] [1900/5278] eta: 2:22:44 lr: 3.5850711734466255e-05 loss: 0.0747 (0.0940) loss_seg: 0.0799 (0.1015) loss_lansim: 0.1041 (0.1123) loss_contra: 0.0002 (0.0101) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [12] [1910/5278] eta: 2:22:19 lr: 3.5848499979076586e-05 loss: 0.0726 (0.0939) loss_seg: 0.0785 (0.1014) loss_lansim: 0.1048 (0.1122) loss_contra: 0.0004 (0.0101) time: 2.5246 data: 0.0024 max mem: 31671 Epoch: [12] [1920/5278] eta: 2:21:52 lr: 3.5846288208524654e-05 loss: 0.0747 (0.0939) loss_seg: 0.0816 (0.1013) loss_lansim: 0.1051 (0.1122) loss_contra: 0.0004 (0.0101) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [12] [1930/5278] eta: 2:21:28 lr: 3.584407642280934e-05 loss: 0.0743 (0.0938) loss_seg: 0.0799 (0.1013) loss_lansim: 0.1051 (0.1122) loss_contra: 0.0004 (0.0101) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [12] [1940/5278] eta: 2:21:04 lr: 3.584186462192948e-05 loss: 0.0743 (0.0938) loss_seg: 0.0799 (0.1012) loss_lansim: 0.1047 (0.1121) loss_contra: 0.0004 (0.0100) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [12] [1950/5278] eta: 2:20:38 lr: 3.583965280588394e-05 loss: 0.0747 (0.0938) loss_seg: 0.0821 (0.1012) loss_lansim: 0.1047 (0.1121) loss_contra: 0.0003 (0.0100) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [12] [1960/5278] eta: 2:20:13 lr: 3.5837440974671576e-05 loss: 0.0770 (0.0938) loss_seg: 0.0851 (0.1013) loss_lansim: 0.1047 (0.1121) loss_contra: 0.0003 (0.0100) time: 2.5402 data: 0.0024 max mem: 31671 Epoch: [12] [1970/5278] eta: 2:19:47 lr: 3.583522912829124e-05 loss: 0.0780 (0.0939) loss_seg: 0.0863 (0.1013) loss_lansim: 0.1050 (0.1121) loss_contra: 0.0003 (0.0100) time: 2.5375 data: 0.0024 max mem: 31671 Epoch: [12] [1980/5278] eta: 2:19:20 lr: 3.58330172667418e-05 loss: 0.0764 (0.0939) loss_seg: 0.0840 (0.1013) loss_lansim: 0.1051 (0.1121) loss_contra: 0.0003 (0.0099) time: 2.5242 data: 0.0024 max mem: 31671 Epoch: [12] [1990/5278] eta: 2:18:54 lr: 3.583080539002209e-05 loss: 0.0780 (0.0939) loss_seg: 0.0863 (0.1013) loss_lansim: 0.1048 (0.1120) loss_contra: 0.0002 (0.0099) time: 2.5249 data: 0.0024 max mem: 31671 Epoch: [12] [2000/5278] eta: 2:18:29 lr: 3.582859349813099e-05 loss: 0.0805 (0.0938) loss_seg: 0.0869 (0.1012) loss_lansim: 0.1048 (0.1120) loss_contra: 0.0002 (0.0098) time: 2.5259 data: 0.0024 max mem: 31671 Epoch: [12] [2010/5278] eta: 2:18:04 lr: 3.582638159106734e-05 loss: 0.0805 (0.0938) loss_seg: 0.0869 (0.1012) loss_lansim: 0.1047 (0.1119) loss_contra: 0.0001 (0.0098) time: 2.5257 data: 0.0024 max mem: 31671 Epoch: [12] [2020/5278] eta: 2:17:38 lr: 3.5824169668829985e-05 loss: 0.0805 (0.0938) loss_seg: 0.0863 (0.1012) loss_lansim: 0.1047 (0.1119) loss_contra: 0.0001 (0.0098) time: 2.5289 data: 0.0024 max mem: 31671 Epoch: [12] [2030/5278] eta: 2:17:12 lr: 3.582195773141781e-05 loss: 0.0805 (0.0937) loss_seg: 0.0863 (0.1011) loss_lansim: 0.1049 (0.1119) loss_contra: 0.0001 (0.0097) time: 2.5222 data: 0.0024 max mem: 31671 Epoch: [12] [2040/5278] eta: 2:16:46 lr: 3.581974577882963e-05 loss: 0.0812 (0.0937) loss_seg: 0.0872 (0.1011) loss_lansim: 0.1056 (0.1119) loss_contra: 0.0001 (0.0098) time: 2.5103 data: 0.0024 max mem: 31671 Epoch: [12] [2050/5278] eta: 2:16:21 lr: 3.581753381106434e-05 loss: 0.0812 (0.0937) loss_seg: 0.0863 (0.1011) loss_lansim: 0.1052 (0.1119) loss_contra: 0.0001 (0.0097) time: 2.5149 data: 0.0024 max mem: 31671 Epoch: [12] [2060/5278] eta: 2:15:55 lr: 3.5815321828120775e-05 loss: 0.0814 (0.0938) loss_seg: 0.0863 (0.1012) loss_lansim: 0.1049 (0.1119) loss_contra: 0.0001 (0.0097) time: 2.5084 data: 0.0024 max mem: 31671 Epoch: [12] [2070/5278] eta: 2:15:29 lr: 3.581310982999779e-05 loss: 0.0848 (0.0939) loss_seg: 0.0883 (0.1013) loss_lansim: 0.1048 (0.1119) loss_contra: 0.0001 (0.0097) time: 2.5090 data: 0.0024 max mem: 31671 Epoch: [12] [2080/5278] eta: 2:15:04 lr: 3.581089781669423e-05 loss: 0.0856 (0.0938) loss_seg: 0.0891 (0.1012) loss_lansim: 0.1048 (0.1118) loss_contra: 0.0001 (0.0096) time: 2.5174 data: 0.0024 max mem: 31671 Epoch: [12] [2090/5278] eta: 2:14:37 lr: 3.580868578820897e-05 loss: 0.0856 (0.0938) loss_seg: 0.0891 (0.1012) loss_lansim: 0.1049 (0.1118) loss_contra: 0.0001 (0.0096) time: 2.5114 data: 0.0024 max mem: 31671 Epoch: [12] [2100/5278] eta: 2:14:11 lr: 3.580647374454084e-05 loss: 0.0869 (0.0941) loss_seg: 0.0916 (0.1014) loss_lansim: 0.1058 (0.1118) loss_contra: 0.0001 (0.0096) time: 2.5065 data: 0.0024 max mem: 31671 Epoch: [12] [2110/5278] eta: 2:13:45 lr: 3.5804261685688714e-05 loss: 0.0869 (0.0940) loss_seg: 0.0916 (0.1014) loss_lansim: 0.1048 (0.1118) loss_contra: 0.0002 (0.0095) time: 2.5027 data: 0.0024 max mem: 31671 Epoch: [12] [2120/5278] eta: 2:13:21 lr: 3.580204961165144e-05 loss: 0.0830 (0.0940) loss_seg: 0.0885 (0.1014) loss_lansim: 0.1079 (0.1118) loss_contra: 0.0002 (0.0095) time: 2.5114 data: 0.0024 max mem: 31671 Epoch: [12] [2130/5278] eta: 2:12:55 lr: 3.579983752242786e-05 loss: 0.0869 (0.0941) loss_seg: 0.0916 (0.1014) loss_lansim: 0.1058 (0.1118) loss_contra: 0.0002 (0.0095) time: 2.5057 data: 0.0025 max mem: 31671 Epoch: [12] [2140/5278] eta: 2:12:29 lr: 3.579762541801685e-05 loss: 0.0865 (0.0940) loss_seg: 0.0916 (0.1013) loss_lansim: 0.1073 (0.1118) loss_contra: 0.0002 (0.0095) time: 2.5133 data: 0.0025 max mem: 31671 Epoch: [12] [2150/5278] eta: 2:12:05 lr: 3.579541329841724e-05 loss: 0.0869 (0.0939) loss_seg: 0.0947 (0.1013) loss_lansim: 0.1071 (0.1118) loss_contra: 0.0002 (0.0095) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [12] [2160/5278] eta: 2:11:39 lr: 3.5793201163627884e-05 loss: 0.0827 (0.0940) loss_seg: 0.0885 (0.1013) loss_lansim: 0.1088 (0.1119) loss_contra: 0.0002 (0.0095) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [12] [2170/5278] eta: 2:11:13 lr: 3.579098901364765e-05 loss: 0.0830 (0.0940) loss_seg: 0.0916 (0.1014) loss_lansim: 0.1103 (0.1119) loss_contra: 0.0003 (0.0095) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [12] [2180/5278] eta: 2:10:48 lr: 3.578877684847538e-05 loss: 0.0846 (0.0941) loss_seg: 0.0916 (0.1015) loss_lansim: 0.1118 (0.1119) loss_contra: 0.0002 (0.0094) time: 2.5168 data: 0.0024 max mem: 31671 Epoch: [12] [2190/5278] eta: 2:10:23 lr: 3.578656466810994e-05 loss: 0.0846 (0.0941) loss_seg: 0.0903 (0.1015) loss_lansim: 0.1112 (0.1119) loss_contra: 0.0002 (0.0094) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [12] [2200/5278] eta: 2:09:58 lr: 3.578435247255016e-05 loss: 0.0858 (0.0941) loss_seg: 0.0903 (0.1015) loss_lansim: 0.1105 (0.1118) loss_contra: 0.0001 (0.0094) time: 2.5328 data: 0.0024 max mem: 31671 Epoch: [12] [2210/5278] eta: 2:09:32 lr: 3.57821402617949e-05 loss: 0.0885 (0.0943) loss_seg: 0.0952 (0.1017) loss_lansim: 0.1112 (0.1119) loss_contra: 0.0001 (0.0093) time: 2.5349 data: 0.0024 max mem: 31671 Epoch: [12] [2220/5278] eta: 2:09:07 lr: 3.577992803584302e-05 loss: 0.0885 (0.0942) loss_seg: 0.0951 (0.1016) loss_lansim: 0.1103 (0.1119) loss_contra: 0.0001 (0.0093) time: 2.5324 data: 0.0024 max mem: 31671 Epoch: [12] [2230/5278] eta: 2:08:42 lr: 3.577771579469336e-05 loss: 0.0824 (0.0941) loss_seg: 0.0874 (0.1015) loss_lansim: 0.1120 (0.1119) loss_contra: 0.0001 (0.0093) time: 2.5372 data: 0.0024 max mem: 31671 Epoch: [12] [2240/5278] eta: 2:08:17 lr: 3.577550353834479e-05 loss: 0.0824 (0.0941) loss_seg: 0.0888 (0.1015) loss_lansim: 0.1125 (0.1119) loss_contra: 0.0001 (0.0093) time: 2.5390 data: 0.0024 max mem: 31671 Epoch: [12] [2250/5278] eta: 2:07:52 lr: 3.577329126679614e-05 loss: 0.0804 (0.0940) loss_seg: 0.0861 (0.1014) loss_lansim: 0.1127 (0.1119) loss_contra: 0.0001 (0.0093) time: 2.5414 data: 0.0024 max mem: 31671 Epoch: [12] [2260/5278] eta: 2:07:26 lr: 3.577107898004627e-05 loss: 0.0846 (0.0941) loss_seg: 0.0903 (0.1015) loss_lansim: 0.1127 (0.1120) loss_contra: 0.0001 (0.0093) time: 2.5343 data: 0.0024 max mem: 31671 Epoch: [12] [2270/5278] eta: 2:06:59 lr: 3.576886667809404e-05 loss: 0.0815 (0.0942) loss_seg: 0.0883 (0.1015) loss_lansim: 0.1129 (0.1120) loss_contra: 0.0001 (0.0093) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [12] [2280/5278] eta: 2:06:34 lr: 3.576665436093828e-05 loss: 0.0762 (0.0940) loss_seg: 0.0832 (0.1014) loss_lansim: 0.1132 (0.1120) loss_contra: 0.0001 (0.0093) time: 2.5263 data: 0.0024 max mem: 31671 Epoch: [12] [2290/5278] eta: 2:06:08 lr: 3.5764442028577856e-05 loss: 0.0760 (0.0939) loss_seg: 0.0832 (0.1013) loss_lansim: 0.1132 (0.1120) loss_contra: 0.0001 (0.0092) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [12] [2300/5278] eta: 2:05:43 lr: 3.576222968101162e-05 loss: 0.0762 (0.0939) loss_seg: 0.0834 (0.1012) loss_lansim: 0.1134 (0.1120) loss_contra: 0.0001 (0.0092) time: 2.5248 data: 0.0024 max mem: 31671 Epoch: [12] [2310/5278] eta: 2:05:17 lr: 3.5760017318238406e-05 loss: 0.0760 (0.0940) loss_seg: 0.0832 (0.1013) loss_lansim: 0.1137 (0.1120) loss_contra: 0.0002 (0.0092) time: 2.5194 data: 0.0024 max mem: 31671 Epoch: [12] [2320/5278] eta: 2:04:52 lr: 3.5757804940257084e-05 loss: 0.0771 (0.0939) loss_seg: 0.0849 (0.1013) loss_lansim: 0.1134 (0.1120) loss_contra: 0.0002 (0.0092) time: 2.5202 data: 0.0024 max mem: 31671 Epoch: [12] [2330/5278] eta: 2:04:26 lr: 3.5755592547066493e-05 loss: 0.0788 (0.0938) loss_seg: 0.0852 (0.1012) loss_lansim: 0.1132 (0.1120) loss_contra: 0.0002 (0.0091) time: 2.5141 data: 0.0024 max mem: 31671 Epoch: [12] [2340/5278] eta: 2:04:00 lr: 3.575338013866548e-05 loss: 0.0802 (0.0939) loss_seg: 0.0883 (0.1013) loss_lansim: 0.1129 (0.1120) loss_contra: 0.0002 (0.0091) time: 2.5093 data: 0.0025 max mem: 31671 Epoch: [12] [2350/5278] eta: 2:03:35 lr: 3.575116771505291e-05 loss: 0.0801 (0.0938) loss_seg: 0.0874 (0.1012) loss_lansim: 0.1114 (0.1120) loss_contra: 0.0002 (0.0091) time: 2.5062 data: 0.0025 max mem: 31671 Epoch: [12] [2360/5278] eta: 2:03:10 lr: 3.5748955276227605e-05 loss: 0.0789 (0.0938) loss_seg: 0.0857 (0.1011) loss_lansim: 0.1112 (0.1120) loss_contra: 0.0001 (0.0091) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [12] [2370/5278] eta: 2:02:45 lr: 3.574674282218845e-05 loss: 0.0726 (0.0937) loss_seg: 0.0800 (0.1009) loss_lansim: 0.1112 (0.1121) loss_contra: 0.0002 (0.0090) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [12] [2380/5278] eta: 2:02:19 lr: 3.574453035293426e-05 loss: 0.0788 (0.0937) loss_seg: 0.0857 (0.1010) loss_lansim: 0.1114 (0.1121) loss_contra: 0.0002 (0.0092) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [12] [2390/5278] eta: 2:01:54 lr: 3.574231786846391e-05 loss: 0.0802 (0.0937) loss_seg: 0.0880 (0.1010) loss_lansim: 0.1115 (0.1121) loss_contra: 0.0002 (0.0091) time: 2.5234 data: 0.0025 max mem: 31671 Epoch: [12] [2400/5278] eta: 2:01:29 lr: 3.574010536877624e-05 loss: 0.0841 (0.0937) loss_seg: 0.0890 (0.1010) loss_lansim: 0.1115 (0.1121) loss_contra: 0.0002 (0.0091) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [12] [2410/5278] eta: 2:01:03 lr: 3.573789285387009e-05 loss: 0.0852 (0.0938) loss_seg: 0.0890 (0.1010) loss_lansim: 0.1136 (0.1122) loss_contra: 0.0001 (0.0091) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [12] [2420/5278] eta: 2:00:38 lr: 3.5735680323744316e-05 loss: 0.0884 (0.0939) loss_seg: 0.0950 (0.1011) loss_lansim: 0.1132 (0.1122) loss_contra: 0.0002 (0.0090) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [12] [2430/5278] eta: 2:00:13 lr: 3.5733467778397775e-05 loss: 0.0898 (0.0938) loss_seg: 0.0981 (0.1011) loss_lansim: 0.1132 (0.1122) loss_contra: 0.0002 (0.0090) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [12] [2440/5278] eta: 1:59:47 lr: 3.5731255217829286e-05 loss: 0.0852 (0.0938) loss_seg: 0.0890 (0.1011) loss_lansim: 0.1137 (0.1122) loss_contra: 0.0002 (0.0090) time: 2.5303 data: 0.0024 max mem: 31671 Epoch: [12] [2450/5278] eta: 1:59:22 lr: 3.572904264203774e-05 loss: 0.0885 (0.0939) loss_seg: 0.0964 (0.1012) loss_lansim: 0.1158 (0.1122) loss_contra: 0.0002 (0.0090) time: 2.5333 data: 0.0024 max mem: 31671 Epoch: [12] [2460/5278] eta: 1:58:57 lr: 3.5726830051021945e-05 loss: 0.0915 (0.0940) loss_seg: 0.1007 (0.1013) loss_lansim: 0.1158 (0.1123) loss_contra: 0.0002 (0.0090) time: 2.5300 data: 0.0024 max mem: 31671 Epoch: [12] [2470/5278] eta: 1:58:32 lr: 3.572461744478076e-05 loss: 0.0938 (0.0940) loss_seg: 0.1036 (0.1013) loss_lansim: 0.1156 (0.1123) loss_contra: 0.0003 (0.0090) time: 2.5347 data: 0.0024 max mem: 31671 Epoch: [12] [2480/5278] eta: 1:58:07 lr: 3.5722404823313056e-05 loss: 0.0935 (0.0940) loss_seg: 0.1013 (0.1014) loss_lansim: 0.1156 (0.1124) loss_contra: 0.0003 (0.0090) time: 2.5437 data: 0.0024 max mem: 31671 Epoch: [12] [2490/5278] eta: 1:57:43 lr: 3.572019218661765e-05 loss: 0.0955 (0.0940) loss_seg: 0.1013 (0.1013) loss_lansim: 0.1175 (0.1124) loss_contra: 0.0003 (0.0090) time: 2.5523 data: 0.0024 max mem: 31671 Epoch: [12] [2500/5278] eta: 1:57:17 lr: 3.5717979534693405e-05 loss: 0.0914 (0.0940) loss_seg: 0.0978 (0.1013) loss_lansim: 0.1162 (0.1124) loss_contra: 0.0002 (0.0090) time: 2.5451 data: 0.0024 max mem: 31671 Epoch: [12] [2510/5278] eta: 1:56:53 lr: 3.571576686753916e-05 loss: 0.0885 (0.0940) loss_seg: 0.0959 (0.1013) loss_lansim: 0.1145 (0.1124) loss_contra: 0.0002 (0.0089) time: 2.5623 data: 0.0024 max mem: 31671 Epoch: [12] [2520/5278] eta: 1:56:28 lr: 3.571355418515376e-05 loss: 0.0839 (0.0939) loss_seg: 0.0898 (0.1012) loss_lansim: 0.1162 (0.1124) loss_contra: 0.0002 (0.0089) time: 2.5596 data: 0.0024 max mem: 31671 Epoch: [12] [2530/5278] eta: 1:56:03 lr: 3.571134148753607e-05 loss: 0.0823 (0.0939) loss_seg: 0.0898 (0.1012) loss_lansim: 0.1165 (0.1125) loss_contra: 0.0002 (0.0090) time: 2.5624 data: 0.0024 max mem: 31671 Epoch: [12] [2540/5278] eta: 1:55:38 lr: 3.570912877468492e-05 loss: 0.0839 (0.0938) loss_seg: 0.0900 (0.1011) loss_lansim: 0.1165 (0.1125) loss_contra: 0.0002 (0.0090) time: 2.5763 data: 0.0024 max mem: 31671 Epoch: [12] [2550/5278] eta: 1:55:13 lr: 3.570691604659915e-05 loss: 0.0819 (0.0938) loss_seg: 0.0880 (0.1011) loss_lansim: 0.1169 (0.1125) loss_contra: 0.0002 (0.0090) time: 2.5735 data: 0.0024 max mem: 31671 Epoch: [12] [2560/5278] eta: 1:54:48 lr: 3.570470330327763e-05 loss: 0.0839 (0.0939) loss_seg: 0.0900 (0.1012) loss_lansim: 0.1165 (0.1125) loss_contra: 0.0002 (0.0090) time: 2.5702 data: 0.0024 max mem: 31671 Epoch: [12] [2570/5278] eta: 1:54:23 lr: 3.570249054471919e-05 loss: 0.0807 (0.0938) loss_seg: 0.0872 (0.1011) loss_lansim: 0.1160 (0.1126) loss_contra: 0.0001 (0.0090) time: 2.5715 data: 0.0024 max mem: 31671 Epoch: [12] [2580/5278] eta: 1:53:57 lr: 3.570027777092267e-05 loss: 0.0790 (0.0939) loss_seg: 0.0839 (0.1012) loss_lansim: 0.1159 (0.1125) loss_contra: 0.0002 (0.0090) time: 2.5700 data: 0.0025 max mem: 31671 Epoch: [12] [2590/5278] eta: 1:53:32 lr: 3.5698064981886926e-05 loss: 0.0780 (0.0938) loss_seg: 0.0838 (0.1011) loss_lansim: 0.1155 (0.1126) loss_contra: 0.0002 (0.0090) time: 2.5621 data: 0.0025 max mem: 31671 Epoch: [12] [2600/5278] eta: 1:53:06 lr: 3.56958521776108e-05 loss: 0.0752 (0.0939) loss_seg: 0.0829 (0.1012) loss_lansim: 0.1154 (0.1125) loss_contra: 0.0002 (0.0089) time: 2.5566 data: 0.0025 max mem: 31671 Epoch: [12] [2610/5278] eta: 1:52:40 lr: 3.5693639358093146e-05 loss: 0.0741 (0.0939) loss_seg: 0.0819 (0.1012) loss_lansim: 0.1143 (0.1125) loss_contra: 0.0001 (0.0089) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [12] [2620/5278] eta: 1:52:15 lr: 3.5691426523332794e-05 loss: 0.0743 (0.0938) loss_seg: 0.0822 (0.1012) loss_lansim: 0.1128 (0.1125) loss_contra: 0.0001 (0.0089) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [12] [2630/5278] eta: 1:51:50 lr: 3.56892136733286e-05 loss: 0.0761 (0.0939) loss_seg: 0.0838 (0.1012) loss_lansim: 0.1112 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [12] [2640/5278] eta: 1:51:24 lr: 3.56870008080794e-05 loss: 0.0752 (0.0940) loss_seg: 0.0829 (0.1013) loss_lansim: 0.1108 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5203 data: 0.0025 max mem: 31671 Epoch: [12] [2650/5278] eta: 1:50:59 lr: 3.568478792758404e-05 loss: 0.0752 (0.0940) loss_seg: 0.0829 (0.1013) loss_lansim: 0.1099 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5229 data: 0.0025 max mem: 31671 Epoch: [12] [2660/5278] eta: 1:50:34 lr: 3.568257503184138e-05 loss: 0.0738 (0.0940) loss_seg: 0.0800 (0.1014) loss_lansim: 0.1088 (0.1125) loss_contra: 0.0001 (0.0087) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [12] [2670/5278] eta: 1:50:08 lr: 3.5680362120850244e-05 loss: 0.0747 (0.0940) loss_seg: 0.0814 (0.1013) loss_lansim: 0.1088 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [12] [2680/5278] eta: 1:49:42 lr: 3.5678149194609486e-05 loss: 0.0752 (0.0941) loss_seg: 0.0831 (0.1014) loss_lansim: 0.1088 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5097 data: 0.0025 max mem: 31671 Epoch: [12] [2690/5278] eta: 1:49:16 lr: 3.567593625311796e-05 loss: 0.0751 (0.0940) loss_seg: 0.0831 (0.1013) loss_lansim: 0.1092 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5090 data: 0.0025 max mem: 31671 Epoch: [12] [2700/5278] eta: 1:48:51 lr: 3.5673723296374484e-05 loss: 0.0749 (0.0939) loss_seg: 0.0828 (0.1012) loss_lansim: 0.1097 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5189 data: 0.0024 max mem: 31671 Epoch: [12] [2710/5278] eta: 1:48:26 lr: 3.5671510324377914e-05 loss: 0.0747 (0.0939) loss_seg: 0.0804 (0.1011) loss_lansim: 0.1095 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5235 data: 0.0024 max mem: 31671 Epoch: [12] [2720/5278] eta: 1:48:00 lr: 3.566929733712711e-05 loss: 0.0749 (0.0939) loss_seg: 0.0828 (0.1012) loss_lansim: 0.1101 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5195 data: 0.0024 max mem: 31671 Epoch: [12] [2730/5278] eta: 1:47:35 lr: 3.566708433462088e-05 loss: 0.0747 (0.0938) loss_seg: 0.0804 (0.1011) loss_lansim: 0.1125 (0.1125) loss_contra: 0.0001 (0.0087) time: 2.5155 data: 0.0024 max mem: 31671 Epoch: [12] [2740/5278] eta: 1:47:09 lr: 3.5664871316858104e-05 loss: 0.0751 (0.0940) loss_seg: 0.0828 (0.1013) loss_lansim: 0.1125 (0.1125) loss_contra: 0.0002 (0.0087) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [12] [2750/5278] eta: 1:46:43 lr: 3.566265828383761e-05 loss: 0.0751 (0.0940) loss_seg: 0.0828 (0.1013) loss_lansim: 0.1126 (0.1125) loss_contra: 0.0002 (0.0088) time: 2.5132 data: 0.0024 max mem: 31671 Epoch: [12] [2760/5278] eta: 1:46:18 lr: 3.566044523555823e-05 loss: 0.0753 (0.0940) loss_seg: 0.0832 (0.1013) loss_lansim: 0.1125 (0.1125) loss_contra: 0.0001 (0.0088) time: 2.5091 data: 0.0024 max mem: 31671 Epoch: [12] [2770/5278] eta: 1:45:52 lr: 3.5658232172018816e-05 loss: 0.0753 (0.0939) loss_seg: 0.0832 (0.1012) loss_lansim: 0.1134 (0.1126) loss_contra: 0.0001 (0.0088) time: 2.5086 data: 0.0024 max mem: 31671 Epoch: [12] [2780/5278] eta: 1:45:27 lr: 3.5656019093218216e-05 loss: 0.0751 (0.0939) loss_seg: 0.0828 (0.1012) loss_lansim: 0.1141 (0.1126) loss_contra: 0.0001 (0.0087) time: 2.5150 data: 0.0024 max mem: 31671 Epoch: [12] [2790/5278] eta: 1:45:01 lr: 3.565380599915527e-05 loss: 0.0785 (0.0940) loss_seg: 0.0863 (0.1013) loss_lansim: 0.1125 (0.1126) loss_contra: 0.0001 (0.0087) time: 2.5168 data: 0.0024 max mem: 31671 Epoch: [12] [2800/5278] eta: 1:44:36 lr: 3.565159288982881e-05 loss: 0.0829 (0.0941) loss_seg: 0.0918 (0.1014) loss_lansim: 0.1125 (0.1126) loss_contra: 0.0001 (0.0087) time: 2.5172 data: 0.0024 max mem: 31671 Epoch: [12] [2810/5278] eta: 1:44:11 lr: 3.564937976523768e-05 loss: 0.0874 (0.0941) loss_seg: 0.0943 (0.1014) loss_lansim: 0.1125 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5140 data: 0.0024 max mem: 31671 Epoch: [12] [2820/5278] eta: 1:43:46 lr: 3.5647166625380736e-05 loss: 0.0860 (0.0941) loss_seg: 0.0926 (0.1014) loss_lansim: 0.1125 (0.1126) loss_contra: 0.0001 (0.0087) time: 2.5214 data: 0.0024 max mem: 31671 Epoch: [12] [2830/5278] eta: 1:43:20 lr: 3.56449534702568e-05 loss: 0.0829 (0.0940) loss_seg: 0.0918 (0.1013) loss_lansim: 0.1141 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5150 data: 0.0024 max mem: 31671 Epoch: [12] [2840/5278] eta: 1:42:54 lr: 3.564274029986473e-05 loss: 0.0785 (0.0939) loss_seg: 0.0862 (0.1012) loss_lansim: 0.1143 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5183 data: 0.0024 max mem: 31671 Epoch: [12] [2850/5278] eta: 1:42:28 lr: 3.564052711420337e-05 loss: 0.0790 (0.0938) loss_seg: 0.0862 (0.1011) loss_lansim: 0.1120 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5116 data: 0.0024 max mem: 31671 Epoch: [12] [2860/5278] eta: 1:42:02 lr: 3.5638313913271536e-05 loss: 0.0785 (0.0937) loss_seg: 0.0839 (0.1010) loss_lansim: 0.1144 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5023 data: 0.0024 max mem: 31671 Epoch: [12] [2870/5278] eta: 1:41:37 lr: 3.56361006970681e-05 loss: 0.0785 (0.0938) loss_seg: 0.0839 (0.1010) loss_lansim: 0.1120 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5124 data: 0.0024 max mem: 31671 Epoch: [12] [2880/5278] eta: 1:41:12 lr: 3.5633887465591875e-05 loss: 0.0791 (0.0938) loss_seg: 0.0873 (0.1010) loss_lansim: 0.1102 (0.1125) loss_contra: 0.0001 (0.0086) time: 2.5144 data: 0.0024 max mem: 31671 Epoch: [12] [2890/5278] eta: 1:40:46 lr: 3.563167421884172e-05 loss: 0.0781 (0.0940) loss_seg: 0.0839 (0.1013) loss_lansim: 0.1107 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5114 data: 0.0024 max mem: 31671 Epoch: [12] [2900/5278] eta: 1:40:21 lr: 3.5629460956816466e-05 loss: 0.0781 (0.0940) loss_seg: 0.0820 (0.1013) loss_lansim: 0.1107 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5147 data: 0.0024 max mem: 31671 Epoch: [12] [2910/5278] eta: 1:39:55 lr: 3.562724767951496e-05 loss: 0.0740 (0.0939) loss_seg: 0.0768 (0.1012) loss_lansim: 0.1102 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5091 data: 0.0024 max mem: 31671 Epoch: [12] [2920/5278] eta: 1:39:30 lr: 3.562503438693604e-05 loss: 0.0762 (0.0939) loss_seg: 0.0768 (0.1012) loss_lansim: 0.1108 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5082 data: 0.0024 max mem: 31671 Epoch: [12] [2930/5278] eta: 1:39:06 lr: 3.562282107907855e-05 loss: 0.0780 (0.0939) loss_seg: 0.0810 (0.1011) loss_lansim: 0.1109 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5235 data: 0.0024 max mem: 31671 Epoch: [12] [2940/5278] eta: 1:38:41 lr: 3.5620607755941305e-05 loss: 0.0795 (0.0938) loss_seg: 0.0858 (0.1011) loss_lansim: 0.1113 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5306 data: 0.0024 max mem: 31671 Epoch: [12] [2950/5278] eta: 1:38:15 lr: 3.561839441752318e-05 loss: 0.0820 (0.0939) loss_seg: 0.0897 (0.1012) loss_lansim: 0.1114 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5338 data: 0.0024 max mem: 31671 Epoch: [12] [2960/5278] eta: 1:37:50 lr: 3.5616181063823e-05 loss: 0.0864 (0.0941) loss_seg: 0.0911 (0.1014) loss_lansim: 0.1109 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5450 data: 0.0024 max mem: 31671 Epoch: [12] [2970/5278] eta: 1:37:25 lr: 3.56139676948396e-05 loss: 0.0864 (0.0940) loss_seg: 0.0911 (0.1013) loss_lansim: 0.1108 (0.1126) loss_contra: 0.0001 (0.0086) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [12] [2980/5278] eta: 1:36:59 lr: 3.5611754310571824e-05 loss: 0.0869 (0.0941) loss_seg: 0.0911 (0.1014) loss_lansim: 0.1125 (0.1126) loss_contra: 0.0002 (0.0089) time: 2.5365 data: 0.0024 max mem: 31671 Epoch: [12] [2990/5278] eta: 1:36:34 lr: 3.56095409110185e-05 loss: 0.0870 (0.0941) loss_seg: 0.0911 (0.1014) loss_lansim: 0.1124 (0.1126) loss_contra: 0.0003 (0.0089) time: 2.5365 data: 0.0024 max mem: 31671 Epoch: [12] [3000/5278] eta: 1:36:08 lr: 3.5607327496178484e-05 loss: 0.0869 (0.0942) loss_seg: 0.0904 (0.1014) loss_lansim: 0.1119 (0.1126) loss_contra: 0.0004 (0.0089) time: 2.5299 data: 0.0024 max mem: 31671 Epoch: [12] [3010/5278] eta: 1:35:43 lr: 3.560511406605061e-05 loss: 0.0893 (0.0941) loss_seg: 0.0917 (0.1014) loss_lansim: 0.1119 (0.1126) loss_contra: 0.0004 (0.0089) time: 2.5483 data: 0.0024 max mem: 31671 Epoch: [12] [3020/5278] eta: 1:35:18 lr: 3.5602900620633696e-05 loss: 0.0883 (0.0941) loss_seg: 0.0913 (0.1014) loss_lansim: 0.1124 (0.1126) loss_contra: 0.0004 (0.0089) time: 2.5475 data: 0.0024 max mem: 31671 Epoch: [12] [3030/5278] eta: 1:34:53 lr: 3.560068715992661e-05 loss: 0.0893 (0.0941) loss_seg: 0.0913 (0.1014) loss_lansim: 0.1113 (0.1126) loss_contra: 0.0004 (0.0088) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [12] [3040/5278] eta: 1:34:27 lr: 3.5598473683928175e-05 loss: 0.0870 (0.0941) loss_seg: 0.0910 (0.1014) loss_lansim: 0.1099 (0.1126) loss_contra: 0.0004 (0.0088) time: 2.5283 data: 0.0024 max mem: 31671 Epoch: [12] [3050/5278] eta: 1:34:02 lr: 3.559626019263723e-05 loss: 0.0870 (0.0942) loss_seg: 0.0909 (0.1014) loss_lansim: 0.1107 (0.1126) loss_contra: 0.0005 (0.0088) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [12] [3060/5278] eta: 1:33:37 lr: 3.559404668605262e-05 loss: 0.0870 (0.0941) loss_seg: 0.0910 (0.1014) loss_lansim: 0.1107 (0.1126) loss_contra: 0.0005 (0.0088) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [12] [3070/5278] eta: 1:33:12 lr: 3.559183316417316e-05 loss: 0.0893 (0.0942) loss_seg: 0.0917 (0.1014) loss_lansim: 0.1106 (0.1126) loss_contra: 0.0005 (0.0088) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [12] [3080/5278] eta: 1:32:46 lr: 3.5589619626997715e-05 loss: 0.0905 (0.0942) loss_seg: 0.0961 (0.1015) loss_lansim: 0.1097 (0.1126) loss_contra: 0.0004 (0.0088) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [12] [3090/5278] eta: 1:32:21 lr: 3.558740607452511e-05 loss: 0.0893 (0.0942) loss_seg: 0.0917 (0.1015) loss_lansim: 0.1092 (0.1126) loss_contra: 0.0004 (0.0087) time: 2.5444 data: 0.0024 max mem: 31671 Epoch: [12] [3100/5278] eta: 1:31:55 lr: 3.558519250675418e-05 loss: 0.0928 (0.0944) loss_seg: 0.0999 (0.1016) loss_lansim: 0.1106 (0.1126) loss_contra: 0.0003 (0.0087) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [12] [3110/5278] eta: 1:31:30 lr: 3.558297892368377e-05 loss: 0.0940 (0.0944) loss_seg: 0.1003 (0.1017) loss_lansim: 0.1106 (0.1126) loss_contra: 0.0002 (0.0089) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [12] [3120/5278] eta: 1:31:04 lr: 3.558076532531271e-05 loss: 0.0955 (0.0945) loss_seg: 0.1041 (0.1018) loss_lansim: 0.1093 (0.1126) loss_contra: 0.0002 (0.0089) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [12] [3130/5278] eta: 1:30:39 lr: 3.557855171163984e-05 loss: 0.0940 (0.0944) loss_seg: 0.1003 (0.1017) loss_lansim: 0.1092 (0.1126) loss_contra: 0.0002 (0.0090) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [12] [3140/5278] eta: 1:30:14 lr: 3.557633808266399e-05 loss: 0.0955 (0.0946) loss_seg: 0.1059 (0.1019) loss_lansim: 0.1114 (0.1126) loss_contra: 0.0003 (0.0090) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [12] [3150/5278] eta: 1:29:49 lr: 3.557412443838399e-05 loss: 0.0905 (0.0945) loss_seg: 0.0978 (0.1018) loss_lansim: 0.1110 (0.1126) loss_contra: 0.0003 (0.0089) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [12] [3160/5278] eta: 1:29:23 lr: 3.557191077879871e-05 loss: 0.0860 (0.0944) loss_seg: 0.0913 (0.1017) loss_lansim: 0.1110 (0.1126) loss_contra: 0.0003 (0.0090) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [12] [3170/5278] eta: 1:28:58 lr: 3.5569697103906946e-05 loss: 0.0840 (0.0944) loss_seg: 0.0897 (0.1017) loss_lansim: 0.1111 (0.1125) loss_contra: 0.0003 (0.0089) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [12] [3180/5278] eta: 1:28:32 lr: 3.5567483413707556e-05 loss: 0.0795 (0.0943) loss_seg: 0.0872 (0.1016) loss_lansim: 0.1090 (0.1125) loss_contra: 0.0003 (0.0089) time: 2.5148 data: 0.0024 max mem: 31671 Epoch: [12] [3190/5278] eta: 1:28:07 lr: 3.556526970819937e-05 loss: 0.0814 (0.0943) loss_seg: 0.0889 (0.1016) loss_lansim: 0.1090 (0.1125) loss_contra: 0.0004 (0.0090) time: 2.5142 data: 0.0024 max mem: 31671 Epoch: [12] [3200/5278] eta: 1:27:41 lr: 3.556305598738122e-05 loss: 0.0813 (0.0943) loss_seg: 0.0889 (0.1015) loss_lansim: 0.1093 (0.1125) loss_contra: 0.0004 (0.0092) time: 2.5132 data: 0.0024 max mem: 31671 Epoch: [12] [3210/5278] eta: 1:27:15 lr: 3.556084225125195e-05 loss: 0.0795 (0.0943) loss_seg: 0.0877 (0.1016) loss_lansim: 0.1105 (0.1125) loss_contra: 0.0004 (0.0091) time: 2.5093 data: 0.0024 max mem: 31671 Epoch: [12] [3220/5278] eta: 1:26:49 lr: 3.555862849981039e-05 loss: 0.0788 (0.0943) loss_seg: 0.0866 (0.1016) loss_lansim: 0.1121 (0.1125) loss_contra: 0.0004 (0.0091) time: 2.5074 data: 0.0024 max mem: 31671 Epoch: [12] [3230/5278] eta: 1:26:24 lr: 3.555641473305536e-05 loss: 0.0792 (0.0943) loss_seg: 0.0872 (0.1016) loss_lansim: 0.1121 (0.1125) loss_contra: 0.0004 (0.0091) time: 2.4954 data: 0.0024 max mem: 31671 Epoch: [12] [3240/5278] eta: 1:25:58 lr: 3.555420095098573e-05 loss: 0.0767 (0.0943) loss_seg: 0.0841 (0.1016) loss_lansim: 0.1087 (0.1125) loss_contra: 0.0004 (0.0091) time: 2.4860 data: 0.0025 max mem: 31671 Epoch: [12] [3250/5278] eta: 1:25:32 lr: 3.5551987153600296e-05 loss: 0.0767 (0.0943) loss_seg: 0.0841 (0.1015) loss_lansim: 0.1086 (0.1125) loss_contra: 0.0003 (0.0091) time: 2.4731 data: 0.0024 max mem: 31671 Epoch: [12] [3260/5278] eta: 1:25:06 lr: 3.554977334089792e-05 loss: 0.0813 (0.0943) loss_seg: 0.0877 (0.1016) loss_lansim: 0.1069 (0.1125) loss_contra: 0.0003 (0.0092) time: 2.4740 data: 0.0024 max mem: 31671 Epoch: [12] [3270/5278] eta: 1:24:41 lr: 3.554755951287742e-05 loss: 0.0813 (0.0943) loss_seg: 0.0872 (0.1016) loss_lansim: 0.1080 (0.1125) loss_contra: 0.0003 (0.0091) time: 2.4699 data: 0.0024 max mem: 31671 Epoch: [12] [3280/5278] eta: 1:24:15 lr: 3.554534566953764e-05 loss: 0.0839 (0.0943) loss_seg: 0.0877 (0.1016) loss_lansim: 0.1087 (0.1125) loss_contra: 0.0003 (0.0091) time: 2.4637 data: 0.0024 max mem: 31671 Epoch: [12] [3290/5278] eta: 1:23:49 lr: 3.554313181087741e-05 loss: 0.0813 (0.0943) loss_seg: 0.0858 (0.1016) loss_lansim: 0.1091 (0.1125) loss_contra: 0.0002 (0.0091) time: 2.4613 data: 0.0025 max mem: 31671 Epoch: [12] [3300/5278] eta: 1:23:23 lr: 3.5540917936895564e-05 loss: 0.0801 (0.0943) loss_seg: 0.0850 (0.1016) loss_lansim: 0.1086 (0.1125) loss_contra: 0.0002 (0.0091) time: 2.4549 data: 0.0024 max mem: 31671 Epoch: [12] [3310/5278] eta: 1:22:58 lr: 3.553870404759093e-05 loss: 0.0801 (0.0942) loss_seg: 0.0852 (0.1015) loss_lansim: 0.1080 (0.1125) loss_contra: 0.0002 (0.0091) time: 2.4672 data: 0.0024 max mem: 31671 Epoch: [12] [3320/5278] eta: 1:22:33 lr: 3.553649014296235e-05 loss: 0.0805 (0.0942) loss_seg: 0.0874 (0.1015) loss_lansim: 0.1078 (0.1124) loss_contra: 0.0002 (0.0091) time: 2.4764 data: 0.0024 max mem: 31671 Epoch: [12] [3330/5278] eta: 1:22:08 lr: 3.553427622300865e-05 loss: 0.0824 (0.0942) loss_seg: 0.0874 (0.1015) loss_lansim: 0.1068 (0.1124) loss_contra: 0.0003 (0.0090) time: 2.4826 data: 0.0024 max mem: 31671 Epoch: [12] [3340/5278] eta: 1:21:42 lr: 3.553206228772867e-05 loss: 0.0836 (0.0942) loss_seg: 0.0889 (0.1015) loss_lansim: 0.1074 (0.1124) loss_contra: 0.0003 (0.0090) time: 2.4877 data: 0.0023 max mem: 31671 Epoch: [12] [3350/5278] eta: 1:21:16 lr: 3.552984833712124e-05 loss: 0.0847 (0.0942) loss_seg: 0.0889 (0.1015) loss_lansim: 0.1078 (0.1124) loss_contra: 0.0003 (0.0090) time: 2.4897 data: 0.0023 max mem: 31671 Epoch: [12] [3360/5278] eta: 1:20:51 lr: 3.552763437118519e-05 loss: 0.0833 (0.0942) loss_seg: 0.0874 (0.1015) loss_lansim: 0.1098 (0.1124) loss_contra: 0.0002 (0.0090) time: 2.4878 data: 0.0023 max mem: 31671 Epoch: [12] [3370/5278] eta: 1:20:26 lr: 3.552542038991936e-05 loss: 0.0836 (0.0943) loss_seg: 0.0916 (0.1015) loss_lansim: 0.1100 (0.1124) loss_contra: 0.0002 (0.0090) time: 2.4955 data: 0.0023 max mem: 31671 Epoch: [12] [3380/5278] eta: 1:20:00 lr: 3.552320639332257e-05 loss: 0.0836 (0.0942) loss_seg: 0.0916 (0.1015) loss_lansim: 0.1110 (0.1125) loss_contra: 0.0002 (0.0090) time: 2.5071 data: 0.0023 max mem: 31671 Epoch: [12] [3390/5278] eta: 1:19:35 lr: 3.552099238139366e-05 loss: 0.0851 (0.0942) loss_seg: 0.0939 (0.1015) loss_lansim: 0.1110 (0.1125) loss_contra: 0.0002 (0.0090) time: 2.5099 data: 0.0024 max mem: 31671 Epoch: [12] [3400/5278] eta: 1:19:10 lr: 3.551877835413147e-05 loss: 0.0851 (0.0942) loss_seg: 0.0939 (0.1015) loss_lansim: 0.1116 (0.1125) loss_contra: 0.0002 (0.0089) time: 2.5182 data: 0.0024 max mem: 31671 Epoch: [12] [3410/5278] eta: 1:18:44 lr: 3.5516564311534814e-05 loss: 0.0851 (0.0943) loss_seg: 0.0940 (0.1015) loss_lansim: 0.1123 (0.1125) loss_contra: 0.0002 (0.0091) time: 2.5098 data: 0.0023 max mem: 31671 Epoch: [12] [3420/5278] eta: 1:18:19 lr: 3.551435025360253e-05 loss: 0.0889 (0.0942) loss_seg: 0.0967 (0.1015) loss_lansim: 0.1123 (0.1125) loss_contra: 0.0002 (0.0092) time: 2.5059 data: 0.0024 max mem: 31671 Epoch: [12] [3430/5278] eta: 1:17:53 lr: 3.5512136180333464e-05 loss: 0.0871 (0.0943) loss_seg: 0.0949 (0.1016) loss_lansim: 0.1147 (0.1125) loss_contra: 0.0002 (0.0092) time: 2.5090 data: 0.0024 max mem: 31671 Epoch: [12] [3440/5278] eta: 1:17:28 lr: 3.5509922091726415e-05 loss: 0.0838 (0.0942) loss_seg: 0.0891 (0.1015) loss_lansim: 0.1133 (0.1125) loss_contra: 0.0002 (0.0092) time: 2.5143 data: 0.0024 max mem: 31671 Epoch: [12] [3450/5278] eta: 1:17:03 lr: 3.5507707987780256e-05 loss: 0.0838 (0.0942) loss_seg: 0.0891 (0.1015) loss_lansim: 0.1157 (0.1125) loss_contra: 0.0002 (0.0092) time: 2.5202 data: 0.0024 max mem: 31671 Epoch: [12] [3460/5278] eta: 1:16:37 lr: 3.550549386849378e-05 loss: 0.0806 (0.0942) loss_seg: 0.0871 (0.1015) loss_lansim: 0.1159 (0.1125) loss_contra: 0.0002 (0.0092) time: 2.5193 data: 0.0024 max mem: 31671 Epoch: [12] [3470/5278] eta: 1:16:12 lr: 3.550327973386584e-05 loss: 0.0762 (0.0941) loss_seg: 0.0838 (0.1014) loss_lansim: 0.1159 (0.1126) loss_contra: 0.0002 (0.0092) time: 2.5153 data: 0.0024 max mem: 31671 Epoch: [12] [3480/5278] eta: 1:15:47 lr: 3.5501065583895266e-05 loss: 0.0761 (0.0941) loss_seg: 0.0828 (0.1014) loss_lansim: 0.1167 (0.1126) loss_contra: 0.0002 (0.0092) time: 2.5174 data: 0.0024 max mem: 31671 Epoch: [12] [3490/5278] eta: 1:15:21 lr: 3.549885141858088e-05 loss: 0.0750 (0.0942) loss_seg: 0.0815 (0.1015) loss_lansim: 0.1167 (0.1127) loss_contra: 0.0002 (0.0092) time: 2.5145 data: 0.0024 max mem: 31671 Epoch: [12] [3500/5278] eta: 1:14:56 lr: 3.549663723792151e-05 loss: 0.0758 (0.0943) loss_seg: 0.0815 (0.1016) loss_lansim: 0.1183 (0.1127) loss_contra: 0.0002 (0.0092) time: 2.5182 data: 0.0024 max mem: 31671 Epoch: [12] [3510/5278] eta: 1:14:31 lr: 3.5494423041916e-05 loss: 0.0758 (0.0943) loss_seg: 0.0824 (0.1016) loss_lansim: 0.1167 (0.1127) loss_contra: 0.0002 (0.0092) time: 2.5263 data: 0.0024 max mem: 31671 Epoch: [12] [3520/5278] eta: 1:14:06 lr: 3.5492208830563165e-05 loss: 0.0750 (0.0944) loss_seg: 0.0815 (0.1016) loss_lansim: 0.1186 (0.1127) loss_contra: 0.0002 (0.0092) time: 2.5269 data: 0.0024 max mem: 31671 Epoch: [12] [3530/5278] eta: 1:13:40 lr: 3.548999460386184e-05 loss: 0.0758 (0.0944) loss_seg: 0.0824 (0.1017) loss_lansim: 0.1195 (0.1127) loss_contra: 0.0002 (0.0092) time: 2.5274 data: 0.0024 max mem: 31671 Epoch: [12] [3540/5278] eta: 1:13:16 lr: 3.548778036181086e-05 loss: 0.0778 (0.0944) loss_seg: 0.0845 (0.1017) loss_lansim: 0.1200 (0.1127) loss_contra: 0.0002 (0.0091) time: 2.5328 data: 0.0024 max mem: 31671 Epoch: [12] [3550/5278] eta: 1:12:50 lr: 3.5485566104409054e-05 loss: 0.0800 (0.0944) loss_seg: 0.0860 (0.1017) loss_lansim: 0.1195 (0.1127) loss_contra: 0.0002 (0.0091) time: 2.5365 data: 0.0024 max mem: 31671 Epoch: [12] [3560/5278] eta: 1:12:25 lr: 3.548335183165524e-05 loss: 0.0830 (0.0944) loss_seg: 0.0890 (0.1017) loss_lansim: 0.1190 (0.1127) loss_contra: 0.0002 (0.0091) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [12] [3570/5278] eta: 1:12:00 lr: 3.548113754354826e-05 loss: 0.0937 (0.0944) loss_seg: 0.0957 (0.1017) loss_lansim: 0.1176 (0.1127) loss_contra: 0.0001 (0.0092) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [12] [3580/5278] eta: 1:11:35 lr: 3.5478923240086935e-05 loss: 0.0878 (0.0944) loss_seg: 0.0931 (0.1017) loss_lansim: 0.1155 (0.1127) loss_contra: 0.0001 (0.0092) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [12] [3590/5278] eta: 1:11:09 lr: 3.5476708921270093e-05 loss: 0.0877 (0.0944) loss_seg: 0.0926 (0.1017) loss_lansim: 0.1158 (0.1128) loss_contra: 0.0001 (0.0092) time: 2.5496 data: 0.0026 max mem: 31671 Epoch: [12] [3600/5278] eta: 1:10:44 lr: 3.547449458709657e-05 loss: 0.0878 (0.0944) loss_seg: 0.0948 (0.1017) loss_lansim: 0.1153 (0.1128) loss_contra: 0.0002 (0.0091) time: 2.5449 data: 0.0026 max mem: 31671 Epoch: [12] [3610/5278] eta: 1:10:19 lr: 3.54722802375652e-05 loss: 0.0899 (0.0944) loss_seg: 0.0936 (0.1017) loss_lansim: 0.1174 (0.1128) loss_contra: 0.0002 (0.0092) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [12] [3620/5278] eta: 1:09:53 lr: 3.5470065872674785e-05 loss: 0.0916 (0.0944) loss_seg: 0.0954 (0.1017) loss_lansim: 0.1175 (0.1128) loss_contra: 0.0002 (0.0091) time: 2.5399 data: 0.0025 max mem: 31671 Epoch: [12] [3630/5278] eta: 1:09:28 lr: 3.5467851492424175e-05 loss: 0.0899 (0.0945) loss_seg: 0.0936 (0.1018) loss_lansim: 0.1170 (0.1128) loss_contra: 0.0002 (0.0091) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [12] [3640/5278] eta: 1:09:02 lr: 3.5465637096812196e-05 loss: 0.0879 (0.0945) loss_seg: 0.0920 (0.1018) loss_lansim: 0.1174 (0.1128) loss_contra: 0.0002 (0.0091) time: 2.5175 data: 0.0025 max mem: 31671 Epoch: [12] [3650/5278] eta: 1:08:37 lr: 3.546342268583767e-05 loss: 0.0879 (0.0945) loss_seg: 0.0920 (0.1018) loss_lansim: 0.1163 (0.1128) loss_contra: 0.0002 (0.0091) time: 2.5116 data: 0.0025 max mem: 31671 Epoch: [12] [3660/5278] eta: 1:08:12 lr: 3.5461208259499427e-05 loss: 0.0865 (0.0945) loss_seg: 0.0909 (0.1018) loss_lansim: 0.1168 (0.1129) loss_contra: 0.0002 (0.0091) time: 2.5111 data: 0.0025 max mem: 31671 Epoch: [12] [3670/5278] eta: 1:07:46 lr: 3.545899381779629e-05 loss: 0.0832 (0.0944) loss_seg: 0.0899 (0.1017) loss_lansim: 0.1151 (0.1128) loss_contra: 0.0002 (0.0091) time: 2.5112 data: 0.0024 max mem: 31671 Epoch: [12] [3680/5278] eta: 1:07:21 lr: 3.545677936072709e-05 loss: 0.0899 (0.0945) loss_seg: 0.0921 (0.1018) loss_lansim: 0.1162 (0.1128) loss_contra: 0.0002 (0.0091) time: 2.5155 data: 0.0024 max mem: 31671 Epoch: [12] [3690/5278] eta: 1:06:56 lr: 3.545456488829067e-05 loss: 0.0899 (0.0945) loss_seg: 0.0935 (0.1018) loss_lansim: 0.1141 (0.1129) loss_contra: 0.0001 (0.0091) time: 2.5155 data: 0.0024 max mem: 31671 Epoch: [12] [3700/5278] eta: 1:06:31 lr: 3.545235040048583e-05 loss: 0.0900 (0.0947) loss_seg: 0.0936 (0.1020) loss_lansim: 0.1151 (0.1129) loss_contra: 0.0001 (0.0091) time: 2.5233 data: 0.0024 max mem: 31671 Epoch: [12] [3710/5278] eta: 1:06:06 lr: 3.5450135897311404e-05 loss: 0.0900 (0.0947) loss_seg: 0.0971 (0.1020) loss_lansim: 0.1136 (0.1129) loss_contra: 0.0001 (0.0091) time: 2.5292 data: 0.0024 max mem: 31671 Epoch: [12] [3720/5278] eta: 1:05:40 lr: 3.544792137876623e-05 loss: 0.0879 (0.0947) loss_seg: 0.0935 (0.1020) loss_lansim: 0.1130 (0.1129) loss_contra: 0.0001 (0.0091) time: 2.5333 data: 0.0024 max mem: 31671 Epoch: [12] [3730/5278] eta: 1:05:15 lr: 3.5445706844849115e-05 loss: 0.0852 (0.0946) loss_seg: 0.0934 (0.1020) loss_lansim: 0.1120 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5388 data: 0.0024 max mem: 31671 Epoch: [12] [3740/5278] eta: 1:04:50 lr: 3.544349229555891e-05 loss: 0.0852 (0.0947) loss_seg: 0.0935 (0.1020) loss_lansim: 0.1120 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5484 data: 0.0024 max mem: 31671 Epoch: [12] [3750/5278] eta: 1:04:25 lr: 3.544127773089442e-05 loss: 0.0852 (0.0947) loss_seg: 0.0935 (0.1020) loss_lansim: 0.1120 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5549 data: 0.0024 max mem: 31671 Epoch: [12] [3760/5278] eta: 1:04:00 lr: 3.543906315085448e-05 loss: 0.0863 (0.0947) loss_seg: 0.0942 (0.1020) loss_lansim: 0.1119 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5564 data: 0.0024 max mem: 31671 Epoch: [12] [3770/5278] eta: 1:03:34 lr: 3.543684855543792e-05 loss: 0.0891 (0.0949) loss_seg: 0.0969 (0.1022) loss_lansim: 0.1119 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5536 data: 0.0024 max mem: 31671 Epoch: [12] [3780/5278] eta: 1:03:09 lr: 3.543463394464356e-05 loss: 0.0866 (0.0948) loss_seg: 0.0942 (0.1022) loss_lansim: 0.1119 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [12] [3790/5278] eta: 1:02:43 lr: 3.5432419318470214e-05 loss: 0.0875 (0.0949) loss_seg: 0.0954 (0.1022) loss_lansim: 0.1111 (0.1129) loss_contra: 0.0001 (0.0089) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [12] [3800/5278] eta: 1:02:18 lr: 3.543020467691674e-05 loss: 0.0863 (0.0949) loss_seg: 0.0935 (0.1022) loss_lansim: 0.1103 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [12] [3810/5278] eta: 1:01:53 lr: 3.5427990019981913e-05 loss: 0.0864 (0.0949) loss_seg: 0.0942 (0.1022) loss_lansim: 0.1088 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5382 data: 0.0024 max mem: 31671 Epoch: [12] [3820/5278] eta: 1:01:28 lr: 3.5425775347664606e-05 loss: 0.0863 (0.0949) loss_seg: 0.0934 (0.1022) loss_lansim: 0.1100 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [12] [3830/5278] eta: 1:01:02 lr: 3.5423560659963615e-05 loss: 0.0864 (0.0949) loss_seg: 0.0935 (0.1023) loss_lansim: 0.1105 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [12] [3840/5278] eta: 1:00:37 lr: 3.5421345956877775e-05 loss: 0.0865 (0.0950) loss_seg: 0.0957 (0.1023) loss_lansim: 0.1105 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [12] [3850/5278] eta: 1:00:12 lr: 3.541913123840592e-05 loss: 0.0873 (0.0950) loss_seg: 0.0958 (0.1024) loss_lansim: 0.1097 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [12] [3860/5278] eta: 0:59:47 lr: 3.541691650454685e-05 loss: 0.0887 (0.0951) loss_seg: 0.0969 (0.1024) loss_lansim: 0.1088 (0.1128) loss_contra: 0.0001 (0.0090) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [12] [3870/5278] eta: 0:59:21 lr: 3.541470175529941e-05 loss: 0.0887 (0.0951) loss_seg: 0.0960 (0.1024) loss_lansim: 0.1100 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5329 data: 0.0024 max mem: 31671 Epoch: [12] [3880/5278] eta: 0:58:56 lr: 3.541248699066241e-05 loss: 0.0908 (0.0951) loss_seg: 0.0998 (0.1025) loss_lansim: 0.1100 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [12] [3890/5278] eta: 0:58:31 lr: 3.541027221063468e-05 loss: 0.0874 (0.0951) loss_seg: 0.0960 (0.1025) loss_lansim: 0.1106 (0.1128) loss_contra: 0.0002 (0.0089) time: 2.5385 data: 0.0024 max mem: 31671 Epoch: [12] [3900/5278] eta: 0:58:05 lr: 3.540805741521505e-05 loss: 0.0874 (0.0951) loss_seg: 0.0960 (0.1025) loss_lansim: 0.1117 (0.1129) loss_contra: 0.0002 (0.0089) time: 2.5310 data: 0.0024 max mem: 31671 Epoch: [12] [3910/5278] eta: 0:57:40 lr: 3.5405842604402325e-05 loss: 0.0874 (0.0951) loss_seg: 0.0960 (0.1025) loss_lansim: 0.1132 (0.1129) loss_contra: 0.0002 (0.0089) time: 2.5367 data: 0.0024 max mem: 31671 Epoch: [12] [3920/5278] eta: 0:57:15 lr: 3.540362777819533e-05 loss: 0.0924 (0.0952) loss_seg: 0.1004 (0.1026) loss_lansim: 0.1127 (0.1129) loss_contra: 0.0002 (0.0089) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [12] [3930/5278] eta: 0:56:50 lr: 3.540141293659292e-05 loss: 0.0908 (0.0952) loss_seg: 0.0988 (0.1026) loss_lansim: 0.1131 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5442 data: 0.0024 max mem: 31671 Epoch: [12] [3940/5278] eta: 0:56:24 lr: 3.539919807959388e-05 loss: 0.0933 (0.0952) loss_seg: 0.1004 (0.1026) loss_lansim: 0.1131 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5435 data: 0.0024 max mem: 31671 Epoch: [12] [3950/5278] eta: 0:55:59 lr: 3.539698320719705e-05 loss: 0.0946 (0.0952) loss_seg: 0.1022 (0.1026) loss_lansim: 0.1156 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5246 data: 0.0024 max mem: 31671 Epoch: [12] [3960/5278] eta: 0:55:33 lr: 3.539476831940126e-05 loss: 0.0946 (0.0953) loss_seg: 0.1022 (0.1027) loss_lansim: 0.1157 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5113 data: 0.0024 max mem: 31671 Epoch: [12] [3970/5278] eta: 0:55:08 lr: 3.539255341620531e-05 loss: 0.0946 (0.0955) loss_seg: 0.1022 (0.1029) loss_lansim: 0.1141 (0.1129) loss_contra: 0.0003 (0.0090) time: 2.5176 data: 0.0024 max mem: 31671 Epoch: [12] [3980/5278] eta: 0:54:43 lr: 3.539033849760804e-05 loss: 0.0902 (0.0954) loss_seg: 0.0946 (0.1028) loss_lansim: 0.1136 (0.1129) loss_contra: 0.0003 (0.0090) time: 2.5247 data: 0.0024 max mem: 31671 Epoch: [12] [3990/5278] eta: 0:54:18 lr: 3.538812356360826e-05 loss: 0.0924 (0.0954) loss_seg: 0.0949 (0.1028) loss_lansim: 0.1131 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5277 data: 0.0024 max mem: 31671 Epoch: [12] [4000/5278] eta: 0:53:52 lr: 3.5385908614204805e-05 loss: 0.0924 (0.0954) loss_seg: 0.0949 (0.1028) loss_lansim: 0.1131 (0.1129) loss_contra: 0.0002 (0.0089) time: 2.5274 data: 0.0024 max mem: 31671 Epoch: [12] [4010/5278] eta: 0:53:27 lr: 3.538369364939649e-05 loss: 0.0935 (0.0954) loss_seg: 0.0949 (0.1028) loss_lansim: 0.1110 (0.1129) loss_contra: 0.0003 (0.0089) time: 2.5166 data: 0.0024 max mem: 31671 Epoch: [12] [4020/5278] eta: 0:53:02 lr: 3.5381478669182124e-05 loss: 0.0902 (0.0954) loss_seg: 0.0946 (0.1028) loss_lansim: 0.1131 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5174 data: 0.0024 max mem: 31671 Epoch: [12] [4030/5278] eta: 0:52:36 lr: 3.5379263673560546e-05 loss: 0.0935 (0.0954) loss_seg: 0.0956 (0.1028) loss_lansim: 0.1131 (0.1129) loss_contra: 0.0003 (0.0089) time: 2.5141 data: 0.0024 max mem: 31671 Epoch: [12] [4040/5278] eta: 0:52:11 lr: 3.537704866253057e-05 loss: 0.0935 (0.0955) loss_seg: 0.0968 (0.1029) loss_lansim: 0.1136 (0.1129) loss_contra: 0.0002 (0.0089) time: 2.5107 data: 0.0024 max mem: 31671 Epoch: [12] [4050/5278] eta: 0:51:46 lr: 3.537483363609102e-05 loss: 0.0935 (0.0956) loss_seg: 0.1017 (0.1030) loss_lansim: 0.1135 (0.1129) loss_contra: 0.0002 (0.0089) time: 2.5288 data: 0.0024 max mem: 31671 Epoch: [12] [4060/5278] eta: 0:51:20 lr: 3.537261859424072e-05 loss: 0.0935 (0.0956) loss_seg: 0.1017 (0.1031) loss_lansim: 0.1136 (0.1130) loss_contra: 0.0002 (0.0089) time: 2.5311 data: 0.0024 max mem: 31671 Epoch: [12] [4070/5278] eta: 0:50:55 lr: 3.537040353697847e-05 loss: 0.0934 (0.0956) loss_seg: 0.1017 (0.1031) loss_lansim: 0.1166 (0.1130) loss_contra: 0.0002 (0.0089) time: 2.5207 data: 0.0024 max mem: 31671 Epoch: [12] [4080/5278] eta: 0:50:30 lr: 3.5368188464303114e-05 loss: 0.0934 (0.0956) loss_seg: 0.1014 (0.1031) loss_lansim: 0.1179 (0.1130) loss_contra: 0.0002 (0.0089) time: 2.5186 data: 0.0024 max mem: 31671 Epoch: [12] [4090/5278] eta: 0:50:04 lr: 3.5365973376213464e-05 loss: 0.0969 (0.0959) loss_seg: 0.1024 (0.1033) loss_lansim: 0.1198 (0.1131) loss_contra: 0.0002 (0.0088) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [12] [4100/5278] eta: 0:49:39 lr: 3.5363758272708336e-05 loss: 0.0970 (0.0959) loss_seg: 0.1034 (0.1033) loss_lansim: 0.1198 (0.1131) loss_contra: 0.0003 (0.0089) time: 2.5212 data: 0.0024 max mem: 31671 Epoch: [12] [4110/5278] eta: 0:49:14 lr: 3.536154315378656e-05 loss: 0.0970 (0.0959) loss_seg: 0.1025 (0.1033) loss_lansim: 0.1179 (0.1131) loss_contra: 0.0002 (0.0088) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [12] [4120/5278] eta: 0:48:49 lr: 3.535932801944694e-05 loss: 0.0934 (0.0959) loss_seg: 0.1017 (0.1033) loss_lansim: 0.1172 (0.1131) loss_contra: 0.0001 (0.0088) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [12] [4130/5278] eta: 0:48:23 lr: 3.535711286968831e-05 loss: 0.0918 (0.0958) loss_seg: 0.1001 (0.1032) loss_lansim: 0.1172 (0.1131) loss_contra: 0.0001 (0.0088) time: 2.5400 data: 0.0025 max mem: 31671 Epoch: [12] [4140/5278] eta: 0:47:58 lr: 3.5354897704509484e-05 loss: 0.0905 (0.0959) loss_seg: 0.0994 (0.1033) loss_lansim: 0.1162 (0.1131) loss_contra: 0.0001 (0.0088) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [12] [4150/5278] eta: 0:47:33 lr: 3.5352682523909274e-05 loss: 0.0892 (0.0958) loss_seg: 0.0960 (0.1033) loss_lansim: 0.1152 (0.1131) loss_contra: 0.0001 (0.0088) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [12] [4160/5278] eta: 0:47:08 lr: 3.535046732788651e-05 loss: 0.0875 (0.0958) loss_seg: 0.0942 (0.1033) loss_lansim: 0.1114 (0.1130) loss_contra: 0.0001 (0.0088) time: 2.5637 data: 0.0026 max mem: 31671 Epoch: [12] [4170/5278] eta: 0:46:43 lr: 3.5348252116440004e-05 loss: 0.0850 (0.0958) loss_seg: 0.0925 (0.1033) loss_lansim: 0.1106 (0.1130) loss_contra: 0.0001 (0.0088) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [12] [4180/5278] eta: 0:46:18 lr: 3.5346036889568586e-05 loss: 0.0881 (0.0958) loss_seg: 0.0942 (0.1033) loss_lansim: 0.1095 (0.1130) loss_contra: 0.0001 (0.0088) time: 2.5653 data: 0.0026 max mem: 31671 Epoch: [12] [4190/5278] eta: 0:45:52 lr: 3.534382164727106e-05 loss: 0.0853 (0.0960) loss_seg: 0.0927 (0.1035) loss_lansim: 0.1095 (0.1130) loss_contra: 0.0001 (0.0087) time: 2.5634 data: 0.0025 max mem: 31671 Epoch: [12] [4200/5278] eta: 0:45:27 lr: 3.534160638954625e-05 loss: 0.0834 (0.0960) loss_seg: 0.0908 (0.1034) loss_lansim: 0.1095 (0.1131) loss_contra: 0.0001 (0.0088) time: 2.5629 data: 0.0025 max mem: 31671 Epoch: [12] [4210/5278] eta: 0:45:02 lr: 3.533939111639297e-05 loss: 0.0834 (0.0959) loss_seg: 0.0908 (0.1034) loss_lansim: 0.1095 (0.1131) loss_contra: 0.0001 (0.0088) time: 2.5598 data: 0.0025 max mem: 31671 Epoch: [12] [4220/5278] eta: 0:44:37 lr: 3.5337175827810045e-05 loss: 0.0827 (0.0959) loss_seg: 0.0871 (0.1033) loss_lansim: 0.1094 (0.1130) loss_contra: 0.0001 (0.0088) time: 2.5679 data: 0.0025 max mem: 31671 Epoch: [12] [4230/5278] eta: 0:44:11 lr: 3.533496052379629e-05 loss: 0.0836 (0.0959) loss_seg: 0.0906 (0.1033) loss_lansim: 0.1095 (0.1130) loss_contra: 0.0002 (0.0088) time: 2.5604 data: 0.0025 max mem: 31671 Epoch: [12] [4240/5278] eta: 0:43:46 lr: 3.5332745204350525e-05 loss: 0.0827 (0.0958) loss_seg: 0.0882 (0.1033) loss_lansim: 0.1106 (0.1130) loss_contra: 0.0002 (0.0088) time: 2.5533 data: 0.0025 max mem: 31671 Epoch: [12] [4250/5278] eta: 0:43:21 lr: 3.5330529869471564e-05 loss: 0.0834 (0.0959) loss_seg: 0.0882 (0.1033) loss_lansim: 0.1106 (0.1131) loss_contra: 0.0003 (0.0088) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [12] [4260/5278] eta: 0:42:55 lr: 3.532831451915822e-05 loss: 0.0841 (0.0959) loss_seg: 0.0896 (0.1034) loss_lansim: 0.1126 (0.1131) loss_contra: 0.0003 (0.0088) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [12] [4270/5278] eta: 0:42:30 lr: 3.532609915340932e-05 loss: 0.0851 (0.0959) loss_seg: 0.0896 (0.1034) loss_lansim: 0.1142 (0.1131) loss_contra: 0.0003 (0.0088) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [12] [4280/5278] eta: 0:42:05 lr: 3.532388377222367e-05 loss: 0.0812 (0.0959) loss_seg: 0.0851 (0.1033) loss_lansim: 0.1148 (0.1131) loss_contra: 0.0003 (0.0087) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [12] [4290/5278] eta: 0:41:40 lr: 3.5321668375600094e-05 loss: 0.0820 (0.0959) loss_seg: 0.0874 (0.1033) loss_lansim: 0.1149 (0.1131) loss_contra: 0.0003 (0.0087) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [12] [4300/5278] eta: 0:41:14 lr: 3.531945296353741e-05 loss: 0.0820 (0.0959) loss_seg: 0.0874 (0.1033) loss_lansim: 0.1142 (0.1131) loss_contra: 0.0003 (0.0087) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [12] [4310/5278] eta: 0:40:49 lr: 3.531723753603443e-05 loss: 0.0841 (0.0959) loss_seg: 0.0882 (0.1033) loss_lansim: 0.1149 (0.1131) loss_contra: 0.0003 (0.0087) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [12] [4320/5278] eta: 0:40:24 lr: 3.5315022093089975e-05 loss: 0.0841 (0.0959) loss_seg: 0.0883 (0.1034) loss_lansim: 0.1149 (0.1131) loss_contra: 0.0003 (0.0087) time: 2.5394 data: 0.0026 max mem: 31671 Epoch: [12] [4330/5278] eta: 0:39:59 lr: 3.531280663470285e-05 loss: 0.0851 (0.0959) loss_seg: 0.0906 (0.1034) loss_lansim: 0.1149 (0.1131) loss_contra: 0.0002 (0.0087) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [12] [4340/5278] eta: 0:39:33 lr: 3.531059116087189e-05 loss: 0.0881 (0.0959) loss_seg: 0.0941 (0.1034) loss_lansim: 0.1145 (0.1131) loss_contra: 0.0002 (0.0088) time: 2.5485 data: 0.0026 max mem: 31671 Epoch: [12] [4350/5278] eta: 0:39:08 lr: 3.530837567159589e-05 loss: 0.0876 (0.0959) loss_seg: 0.0910 (0.1033) loss_lansim: 0.1149 (0.1131) loss_contra: 0.0001 (0.0088) time: 2.5489 data: 0.0025 max mem: 31671 Epoch: [12] [4360/5278] eta: 0:38:43 lr: 3.530616016687367e-05 loss: 0.0820 (0.0959) loss_seg: 0.0874 (0.1034) loss_lansim: 0.1134 (0.1131) loss_contra: 0.0001 (0.0087) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [12] [4370/5278] eta: 0:38:17 lr: 3.5303944646704064e-05 loss: 0.0820 (0.0959) loss_seg: 0.0874 (0.1034) loss_lansim: 0.1116 (0.1131) loss_contra: 0.0001 (0.0088) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [12] [4380/5278] eta: 0:37:52 lr: 3.5301729111085864e-05 loss: 0.0824 (0.0959) loss_seg: 0.0874 (0.1033) loss_lansim: 0.1116 (0.1131) loss_contra: 0.0001 (0.0087) time: 2.5504 data: 0.0025 max mem: 31671 Epoch: [12] [4390/5278] eta: 0:37:27 lr: 3.529951356001789e-05 loss: 0.0771 (0.0958) loss_seg: 0.0825 (0.1033) loss_lansim: 0.1097 (0.1131) loss_contra: 0.0001 (0.0087) time: 2.5493 data: 0.0026 max mem: 31671 Epoch: [12] [4400/5278] eta: 0:37:02 lr: 3.5297297993498974e-05 loss: 0.0774 (0.0958) loss_seg: 0.0825 (0.1033) loss_lansim: 0.1094 (0.1130) loss_contra: 0.0001 (0.0087) time: 2.5568 data: 0.0026 max mem: 31671 Epoch: [12] [4410/5278] eta: 0:36:37 lr: 3.5295082411527906e-05 loss: 0.0804 (0.0958) loss_seg: 0.0851 (0.1033) loss_lansim: 0.1094 (0.1130) loss_contra: 0.0001 (0.0087) time: 2.5529 data: 0.0026 max mem: 31671 Epoch: [12] [4420/5278] eta: 0:36:11 lr: 3.529286681410352e-05 loss: 0.0806 (0.0959) loss_seg: 0.0851 (0.1034) loss_lansim: 0.1092 (0.1130) loss_contra: 0.0001 (0.0087) time: 2.5567 data: 0.0026 max mem: 31671 Epoch: [12] [4430/5278] eta: 0:35:46 lr: 3.529065120122462e-05 loss: 0.0770 (0.0959) loss_seg: 0.0834 (0.1033) loss_lansim: 0.1088 (0.1130) loss_contra: 0.0001 (0.0087) time: 2.5543 data: 0.0026 max mem: 31671 Epoch: [12] [4440/5278] eta: 0:35:21 lr: 3.528843557289002e-05 loss: 0.0757 (0.0959) loss_seg: 0.0818 (0.1033) loss_lansim: 0.1068 (0.1130) loss_contra: 0.0001 (0.0087) time: 2.5451 data: 0.0026 max mem: 31671 Epoch: [12] [4450/5278] eta: 0:34:55 lr: 3.528621992909854e-05 loss: 0.0774 (0.0959) loss_seg: 0.0834 (0.1033) loss_lansim: 0.1045 (0.1129) loss_contra: 0.0001 (0.0087) time: 2.5556 data: 0.0026 max mem: 31671 Epoch: [12] [4460/5278] eta: 0:34:30 lr: 3.5284004269848983e-05 loss: 0.0774 (0.0958) loss_seg: 0.0838 (0.1033) loss_lansim: 0.1042 (0.1129) loss_contra: 0.0002 (0.0087) time: 2.5578 data: 0.0026 max mem: 31671 Epoch: [12] [4470/5278] eta: 0:34:05 lr: 3.528178859514018e-05 loss: 0.0757 (0.0958) loss_seg: 0.0834 (0.1032) loss_lansim: 0.1042 (0.1129) loss_contra: 0.0001 (0.0087) time: 2.5577 data: 0.0026 max mem: 31671 Epoch: [12] [4480/5278] eta: 0:33:39 lr: 3.527957290497093e-05 loss: 0.0777 (0.0958) loss_seg: 0.0851 (0.1033) loss_lansim: 0.1039 (0.1129) loss_contra: 0.0002 (0.0086) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [12] [4490/5278] eta: 0:33:14 lr: 3.527735719934005e-05 loss: 0.0885 (0.0958) loss_seg: 0.0934 (0.1033) loss_lansim: 0.1030 (0.1129) loss_contra: 0.0001 (0.0086) time: 2.5572 data: 0.0025 max mem: 31671 Epoch: [12] [4500/5278] eta: 0:32:49 lr: 3.527514147824635e-05 loss: 0.0892 (0.0958) loss_seg: 0.0980 (0.1033) loss_lansim: 0.1028 (0.1129) loss_contra: 0.0001 (0.0086) time: 2.5454 data: 0.0024 max mem: 31671 Epoch: [12] [4510/5278] eta: 0:32:24 lr: 3.527292574168865e-05 loss: 0.0842 (0.0959) loss_seg: 0.0934 (0.1033) loss_lansim: 0.1012 (0.1128) loss_contra: 0.0001 (0.0086) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [12] [4520/5278] eta: 0:31:58 lr: 3.527070998966576e-05 loss: 0.0842 (0.0959) loss_seg: 0.0899 (0.1034) loss_lansim: 0.1012 (0.1128) loss_contra: 0.0001 (0.0086) time: 2.5461 data: 0.0024 max mem: 31671 Epoch: [12] [4530/5278] eta: 0:31:33 lr: 3.526849422217649e-05 loss: 0.0882 (0.0959) loss_seg: 0.0962 (0.1033) loss_lansim: 0.1019 (0.1128) loss_contra: 0.0002 (0.0086) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [12] [4540/5278] eta: 0:31:08 lr: 3.5266278439219656e-05 loss: 0.0892 (0.0959) loss_seg: 0.0962 (0.1034) loss_lansim: 0.1034 (0.1128) loss_contra: 0.0001 (0.0086) time: 2.5604 data: 0.0025 max mem: 31671 Epoch: [12] [4550/5278] eta: 0:30:43 lr: 3.526406264079407e-05 loss: 0.0868 (0.0959) loss_seg: 0.0955 (0.1034) loss_lansim: 0.1041 (0.1128) loss_contra: 0.0001 (0.0085) time: 2.5517 data: 0.0025 max mem: 31671 Epoch: [12] [4560/5278] eta: 0:30:17 lr: 3.5261846826898535e-05 loss: 0.0892 (0.0959) loss_seg: 0.0962 (0.1033) loss_lansim: 0.1046 (0.1128) loss_contra: 0.0002 (0.0086) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [12] [4570/5278] eta: 0:29:52 lr: 3.525963099753187e-05 loss: 0.0892 (0.0958) loss_seg: 0.0962 (0.1033) loss_lansim: 0.1043 (0.1128) loss_contra: 0.0002 (0.0086) time: 2.5412 data: 0.0025 max mem: 31671 Epoch: [12] [4580/5278] eta: 0:29:26 lr: 3.5257415152692895e-05 loss: 0.0882 (0.0959) loss_seg: 0.0953 (0.1033) loss_lansim: 0.1044 (0.1128) loss_contra: 0.0002 (0.0086) time: 2.5427 data: 0.0025 max mem: 31671 Epoch: [12] [4590/5278] eta: 0:29:01 lr: 3.525519929238041e-05 loss: 0.0868 (0.0959) loss_seg: 0.0928 (0.1033) loss_lansim: 0.1052 (0.1128) loss_contra: 0.0004 (0.0086) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [12] [4600/5278] eta: 0:28:36 lr: 3.525298341659323e-05 loss: 0.0882 (0.0960) loss_seg: 0.0936 (0.1034) loss_lansim: 0.1062 (0.1128) loss_contra: 0.0005 (0.0087) time: 2.5215 data: 0.0025 max mem: 31671 Epoch: [12] [4610/5278] eta: 0:28:10 lr: 3.525076752533017e-05 loss: 0.0893 (0.0960) loss_seg: 0.0953 (0.1034) loss_lansim: 0.1086 (0.1128) loss_contra: 0.0005 (0.0087) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [12] [4620/5278] eta: 0:27:45 lr: 3.5248551618590024e-05 loss: 0.0893 (0.0960) loss_seg: 0.0928 (0.1034) loss_lansim: 0.1100 (0.1128) loss_contra: 0.0005 (0.0088) time: 2.5124 data: 0.0025 max mem: 31671 Epoch: [12] [4630/5278] eta: 0:27:20 lr: 3.524633569637162e-05 loss: 0.0906 (0.0960) loss_seg: 0.0953 (0.1035) loss_lansim: 0.1079 (0.1128) loss_contra: 0.0005 (0.0088) time: 2.5129 data: 0.0025 max mem: 31671 Epoch: [12] [4640/5278] eta: 0:26:54 lr: 3.524411975867378e-05 loss: 0.0861 (0.0960) loss_seg: 0.0917 (0.1034) loss_lansim: 0.1100 (0.1128) loss_contra: 0.0005 (0.0088) time: 2.5051 data: 0.0025 max mem: 31671 Epoch: [12] [4650/5278] eta: 0:26:29 lr: 3.524190380549527e-05 loss: 0.0893 (0.0960) loss_seg: 0.0934 (0.1034) loss_lansim: 0.1073 (0.1128) loss_contra: 0.0005 (0.0088) time: 2.5124 data: 0.0025 max mem: 31671 Epoch: [12] [4660/5278] eta: 0:26:04 lr: 3.5239687836834954e-05 loss: 0.0900 (0.0960) loss_seg: 0.0936 (0.1035) loss_lansim: 0.1073 (0.1128) loss_contra: 0.0005 (0.0087) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [12] [4670/5278] eta: 0:25:38 lr: 3.5237471852691605e-05 loss: 0.0925 (0.0961) loss_seg: 0.0983 (0.1035) loss_lansim: 0.1100 (0.1128) loss_contra: 0.0006 (0.0087) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [12] [4680/5278] eta: 0:25:13 lr: 3.523525585306405e-05 loss: 0.0900 (0.0960) loss_seg: 0.0983 (0.1035) loss_lansim: 0.1079 (0.1128) loss_contra: 0.0005 (0.0087) time: 2.5101 data: 0.0025 max mem: 31671 Epoch: [12] [4690/5278] eta: 0:24:48 lr: 3.5233039837951094e-05 loss: 0.0888 (0.0960) loss_seg: 0.0951 (0.1035) loss_lansim: 0.1073 (0.1128) loss_contra: 0.0002 (0.0087) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [12] [4700/5278] eta: 0:24:23 lr: 3.5230823807351545e-05 loss: 0.0843 (0.0961) loss_seg: 0.0926 (0.1035) loss_lansim: 0.1071 (0.1127) loss_contra: 0.0002 (0.0087) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [12] [4710/5278] eta: 0:23:57 lr: 3.522860776126421e-05 loss: 0.0835 (0.0960) loss_seg: 0.0922 (0.1035) loss_lansim: 0.1070 (0.1128) loss_contra: 0.0002 (0.0087) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [12] [4720/5278] eta: 0:23:32 lr: 3.522639169968791e-05 loss: 0.0861 (0.0960) loss_seg: 0.0934 (0.1035) loss_lansim: 0.1070 (0.1128) loss_contra: 0.0002 (0.0087) time: 2.5371 data: 0.0025 max mem: 31671 Epoch: [12] [4730/5278] eta: 0:23:07 lr: 3.522417562262143e-05 loss: 0.0833 (0.0960) loss_seg: 0.0922 (0.1035) loss_lansim: 0.1071 (0.1128) loss_contra: 0.0002 (0.0087) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [12] [4740/5278] eta: 0:22:41 lr: 3.5221959530063613e-05 loss: 0.0833 (0.0959) loss_seg: 0.0922 (0.1034) loss_lansim: 0.1079 (0.1127) loss_contra: 0.0001 (0.0087) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [12] [4750/5278] eta: 0:22:16 lr: 3.521974342201324e-05 loss: 0.0805 (0.0960) loss_seg: 0.0885 (0.1034) loss_lansim: 0.1088 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5489 data: 0.0026 max mem: 31671 Epoch: [12] [4760/5278] eta: 0:21:51 lr: 3.5217527298469135e-05 loss: 0.0833 (0.0960) loss_seg: 0.0920 (0.1034) loss_lansim: 0.1096 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5550 data: 0.0025 max mem: 31671 Epoch: [12] [4770/5278] eta: 0:21:26 lr: 3.52153111594301e-05 loss: 0.0805 (0.0959) loss_seg: 0.0885 (0.1034) loss_lansim: 0.1099 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5665 data: 0.0025 max mem: 31671 Epoch: [12] [4780/5278] eta: 0:21:00 lr: 3.521309500489494e-05 loss: 0.0835 (0.0960) loss_seg: 0.0922 (0.1034) loss_lansim: 0.1118 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5815 data: 0.0025 max mem: 31671 Epoch: [12] [4790/5278] eta: 0:20:35 lr: 3.5210878834862465e-05 loss: 0.0805 (0.0959) loss_seg: 0.0868 (0.1033) loss_lansim: 0.1126 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5860 data: 0.0025 max mem: 31671 Epoch: [12] [4800/5278] eta: 0:20:10 lr: 3.520866264933149e-05 loss: 0.0805 (0.0959) loss_seg: 0.0868 (0.1033) loss_lansim: 0.1126 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5837 data: 0.0025 max mem: 31671 Epoch: [12] [4810/5278] eta: 0:19:45 lr: 3.5206446448300815e-05 loss: 0.0786 (0.0959) loss_seg: 0.0844 (0.1034) loss_lansim: 0.1119 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5811 data: 0.0026 max mem: 31671 Epoch: [12] [4820/5278] eta: 0:19:19 lr: 3.520423023176925e-05 loss: 0.0762 (0.0959) loss_seg: 0.0806 (0.1033) loss_lansim: 0.1110 (0.1128) loss_contra: 0.0001 (0.0089) time: 2.5894 data: 0.0025 max mem: 31671 Epoch: [12] [4830/5278] eta: 0:18:54 lr: 3.52020139997356e-05 loss: 0.0786 (0.0960) loss_seg: 0.0844 (0.1035) loss_lansim: 0.1112 (0.1128) loss_contra: 0.0001 (0.0090) time: 2.5876 data: 0.0025 max mem: 31671 Epoch: [12] [4840/5278] eta: 0:18:29 lr: 3.519979775219867e-05 loss: 0.0805 (0.0960) loss_seg: 0.0868 (0.1035) loss_lansim: 0.1118 (0.1128) loss_contra: 0.0001 (0.0090) time: 2.5912 data: 0.0025 max mem: 31671 Epoch: [12] [4850/5278] eta: 0:18:03 lr: 3.519758148915728e-05 loss: 0.0810 (0.0960) loss_seg: 0.0877 (0.1035) loss_lansim: 0.1147 (0.1128) loss_contra: 0.0001 (0.0090) time: 2.5800 data: 0.0025 max mem: 31671 Epoch: [12] [4860/5278] eta: 0:17:38 lr: 3.519536521061022e-05 loss: 0.0822 (0.0961) loss_seg: 0.0905 (0.1035) loss_lansim: 0.1128 (0.1128) loss_contra: 0.0001 (0.0091) time: 2.5784 data: 0.0025 max mem: 31671 Epoch: [12] [4870/5278] eta: 0:17:13 lr: 3.519314891655632e-05 loss: 0.0864 (0.0961) loss_seg: 0.0959 (0.1036) loss_lansim: 0.1140 (0.1128) loss_contra: 0.0001 (0.0090) time: 2.5700 data: 0.0025 max mem: 31671 Epoch: [12] [4880/5278] eta: 0:16:48 lr: 3.519093260699435e-05 loss: 0.0826 (0.0961) loss_seg: 0.0906 (0.1036) loss_lansim: 0.1140 (0.1128) loss_contra: 0.0001 (0.0091) time: 2.5594 data: 0.0025 max mem: 31671 Epoch: [12] [4890/5278] eta: 0:16:22 lr: 3.5188716281923154e-05 loss: 0.0905 (0.0962) loss_seg: 0.0999 (0.1036) loss_lansim: 0.1151 (0.1128) loss_contra: 0.0001 (0.0091) time: 2.5626 data: 0.0025 max mem: 31671 Epoch: [12] [4900/5278] eta: 0:15:57 lr: 3.518649994134152e-05 loss: 0.0905 (0.0962) loss_seg: 0.0999 (0.1036) loss_lansim: 0.1151 (0.1128) loss_contra: 0.0001 (0.0091) time: 2.5666 data: 0.0025 max mem: 31671 Epoch: [12] [4910/5278] eta: 0:15:32 lr: 3.518428358524825e-05 loss: 0.0869 (0.0961) loss_seg: 0.0962 (0.1036) loss_lansim: 0.1151 (0.1128) loss_contra: 0.0001 (0.0091) time: 2.5688 data: 0.0024 max mem: 31671 Epoch: [12] [4920/5278] eta: 0:15:06 lr: 3.518206721364215e-05 loss: 0.0979 (0.0962) loss_seg: 0.1024 (0.1037) loss_lansim: 0.1170 (0.1129) loss_contra: 0.0002 (0.0091) time: 2.5582 data: 0.0024 max mem: 31671 Epoch: [12] [4930/5278] eta: 0:14:41 lr: 3.517985082652204e-05 loss: 0.0905 (0.0962) loss_seg: 0.0999 (0.1037) loss_lansim: 0.1172 (0.1129) loss_contra: 0.0002 (0.0091) time: 2.5582 data: 0.0024 max mem: 31671 Epoch: [12] [4940/5278] eta: 0:14:16 lr: 3.51776344238867e-05 loss: 0.0882 (0.0962) loss_seg: 0.0968 (0.1037) loss_lansim: 0.1183 (0.1129) loss_contra: 0.0003 (0.0090) time: 2.5634 data: 0.0024 max mem: 31671 Epoch: [12] [4950/5278] eta: 0:13:50 lr: 3.5175418005734967e-05 loss: 0.0882 (0.0962) loss_seg: 0.0968 (0.1037) loss_lansim: 0.1164 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5662 data: 0.0024 max mem: 31671 Epoch: [12] [4960/5278] eta: 0:13:25 lr: 3.517320157206563e-05 loss: 0.0867 (0.0962) loss_seg: 0.0913 (0.1037) loss_lansim: 0.1164 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5646 data: 0.0024 max mem: 31671 Epoch: [12] [4970/5278] eta: 0:13:00 lr: 3.517098512287749e-05 loss: 0.0804 (0.0962) loss_seg: 0.0858 (0.1037) loss_lansim: 0.1170 (0.1129) loss_contra: 0.0002 (0.0090) time: 2.5632 data: 0.0025 max mem: 31671 Epoch: [12] [4980/5278] eta: 0:12:34 lr: 3.5168768658169354e-05 loss: 0.0810 (0.0962) loss_seg: 0.0864 (0.1037) loss_lansim: 0.1171 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5734 data: 0.0025 max mem: 31671 Epoch: [12] [4990/5278] eta: 0:12:09 lr: 3.5166552177940025e-05 loss: 0.0774 (0.0962) loss_seg: 0.0845 (0.1037) loss_lansim: 0.1162 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5620 data: 0.0025 max mem: 31671 Epoch: [12] [5000/5278] eta: 0:11:44 lr: 3.5164335682188315e-05 loss: 0.0760 (0.0962) loss_seg: 0.0827 (0.1037) loss_lansim: 0.1170 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [12] [5010/5278] eta: 0:11:18 lr: 3.516211917091303e-05 loss: 0.0817 (0.0962) loss_seg: 0.0852 (0.1037) loss_lansim: 0.1171 (0.1129) loss_contra: 0.0001 (0.0090) time: 2.5603 data: 0.0025 max mem: 31671 Epoch: [12] [5020/5278] eta: 0:10:53 lr: 3.515990264411296e-05 loss: 0.0823 (0.0962) loss_seg: 0.0863 (0.1037) loss_lansim: 0.1162 (0.1130) loss_contra: 0.0001 (0.0090) time: 2.5586 data: 0.0025 max mem: 31671 Epoch: [12] [5030/5278] eta: 0:10:28 lr: 3.515768610178692e-05 loss: 0.0823 (0.0962) loss_seg: 0.0863 (0.1037) loss_lansim: 0.1162 (0.1130) loss_contra: 0.0001 (0.0090) time: 2.5572 data: 0.0025 max mem: 31671 Epoch: [12] [5040/5278] eta: 0:10:02 lr: 3.515546954393371e-05 loss: 0.0824 (0.0963) loss_seg: 0.0864 (0.1038) loss_lansim: 0.1162 (0.1130) loss_contra: 0.0001 (0.0090) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [12] [5050/5278] eta: 0:09:37 lr: 3.5153252970552126e-05 loss: 0.0858 (0.0963) loss_seg: 0.0877 (0.1038) loss_lansim: 0.1175 (0.1130) loss_contra: 0.0001 (0.0090) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [12] [5060/5278] eta: 0:09:12 lr: 3.515103638164098e-05 loss: 0.0817 (0.0962) loss_seg: 0.0877 (0.1037) loss_lansim: 0.1175 (0.1130) loss_contra: 0.0001 (0.0090) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [12] [5070/5278] eta: 0:08:46 lr: 3.5148819777199075e-05 loss: 0.0866 (0.0963) loss_seg: 0.0898 (0.1038) loss_lansim: 0.1172 (0.1130) loss_contra: 0.0001 (0.0090) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [12] [5080/5278] eta: 0:08:21 lr: 3.514660315722522e-05 loss: 0.0817 (0.0962) loss_seg: 0.0877 (0.1037) loss_lansim: 0.1162 (0.1130) loss_contra: 0.0001 (0.0090) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [12] [5090/5278] eta: 0:07:56 lr: 3.514438652171821e-05 loss: 0.0817 (0.0962) loss_seg: 0.0883 (0.1036) loss_lansim: 0.1175 (0.1130) loss_contra: 0.0001 (0.0090) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [12] [5100/5278] eta: 0:07:30 lr: 3.514216987067684e-05 loss: 0.0874 (0.0962) loss_seg: 0.0904 (0.1037) loss_lansim: 0.1173 (0.1131) loss_contra: 0.0001 (0.0090) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [12] [5110/5278] eta: 0:07:05 lr: 3.513995320409993e-05 loss: 0.0874 (0.0962) loss_seg: 0.0904 (0.1037) loss_lansim: 0.1154 (0.1131) loss_contra: 0.0001 (0.0090) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [12] [5120/5278] eta: 0:06:40 lr: 3.513773652198626e-05 loss: 0.0890 (0.0962) loss_seg: 0.0929 (0.1037) loss_lansim: 0.1175 (0.1131) loss_contra: 0.0001 (0.0091) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [12] [5130/5278] eta: 0:06:14 lr: 3.5135519824334654e-05 loss: 0.0876 (0.0962) loss_seg: 0.0912 (0.1037) loss_lansim: 0.1173 (0.1131) loss_contra: 0.0001 (0.0091) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [12] [5140/5278] eta: 0:05:49 lr: 3.513330311114391e-05 loss: 0.0876 (0.0961) loss_seg: 0.0929 (0.1036) loss_lansim: 0.1172 (0.1131) loss_contra: 0.0001 (0.0091) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [12] [5150/5278] eta: 0:05:24 lr: 3.513108638241281e-05 loss: 0.0871 (0.0962) loss_seg: 0.0912 (0.1037) loss_lansim: 0.1167 (0.1131) loss_contra: 0.0001 (0.0091) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [12] [5160/5278] eta: 0:04:58 lr: 3.5128869638140186e-05 loss: 0.0890 (0.0962) loss_seg: 0.0985 (0.1037) loss_lansim: 0.1173 (0.1131) loss_contra: 0.0001 (0.0091) time: 2.5322 data: 0.0025 max mem: 31671 Epoch: [12] [5170/5278] eta: 0:04:33 lr: 3.51266528783248e-05 loss: 0.0872 (0.0962) loss_seg: 0.0929 (0.1037) loss_lansim: 0.1167 (0.1131) loss_contra: 0.0002 (0.0091) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [12] [5180/5278] eta: 0:04:08 lr: 3.51244361029655e-05 loss: 0.0890 (0.0962) loss_seg: 0.0961 (0.1037) loss_lansim: 0.1173 (0.1132) loss_contra: 0.0002 (0.0091) time: 2.5387 data: 0.0024 max mem: 31671 Epoch: [12] [5190/5278] eta: 0:03:42 lr: 3.512221931206106e-05 loss: 0.0896 (0.0962) loss_seg: 0.0985 (0.1037) loss_lansim: 0.1167 (0.1132) loss_contra: 0.0003 (0.0091) time: 2.5511 data: 0.0024 max mem: 31671 Epoch: [12] [5200/5278] eta: 0:03:17 lr: 3.512000250561027e-05 loss: 0.0890 (0.0962) loss_seg: 0.0965 (0.1037) loss_lansim: 0.1167 (0.1132) loss_contra: 0.0003 (0.0091) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [12] [5210/5278] eta: 0:02:52 lr: 3.511778568361195e-05 loss: 0.0890 (0.0962) loss_seg: 0.0961 (0.1037) loss_lansim: 0.1201 (0.1132) loss_contra: 0.0005 (0.0091) time: 2.5474 data: 0.0025 max mem: 31671 Epoch: [12] [5220/5278] eta: 0:02:26 lr: 3.51155688460649e-05 loss: 0.0872 (0.0962) loss_seg: 0.0907 (0.1037) loss_lansim: 0.1167 (0.1132) loss_contra: 0.0004 (0.0091) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [12] [5230/5278] eta: 0:02:01 lr: 3.5113351992967916e-05 loss: 0.0890 (0.0962) loss_seg: 0.0961 (0.1037) loss_lansim: 0.1167 (0.1132) loss_contra: 0.0004 (0.0091) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [12] [5240/5278] eta: 0:01:36 lr: 3.51111351243198e-05 loss: 0.0886 (0.0963) loss_seg: 0.0942 (0.1037) loss_lansim: 0.1178 (0.1132) loss_contra: 0.0003 (0.0090) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [12] [5250/5278] eta: 0:01:10 lr: 3.510891824011934e-05 loss: 0.0886 (0.0962) loss_seg: 0.0942 (0.1037) loss_lansim: 0.1182 (0.1132) loss_contra: 0.0003 (0.0090) time: 2.5562 data: 0.0025 max mem: 31671 Epoch: [12] [5260/5278] eta: 0:00:45 lr: 3.5106701340365346e-05 loss: 0.0818 (0.0963) loss_seg: 0.0900 (0.1037) loss_lansim: 0.1161 (0.1132) loss_contra: 0.0003 (0.0090) time: 2.5556 data: 0.0025 max mem: 31671 Epoch: [12] [5270/5278] eta: 0:00:20 lr: 3.510448442505662e-05 loss: 0.0818 (0.0963) loss_seg: 0.0900 (0.1038) loss_lansim: 0.1168 (0.1132) loss_contra: 0.0003 (0.0090) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [12] Total time: 3:42:54 Test: [ 0/2573] eta: 1:33:09 time: 2.1723 data: 1.9919 max mem: 31671 Test: [ 100/2573] eta: 0:06:39 time: 0.1416 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:04 time: 0.1455 data: 0.0014 max mem: 31671 Test: [ 300/2573] eta: 0:05:39 time: 0.1407 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:22 time: 0.1449 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:06 time: 0.1461 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:51 time: 0.1460 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1509 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1478 data: 0.0014 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1475 data: 0.0017 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1470 data: 0.0017 max mem: 31671 Test: [1100/2573] eta: 0:03:37 time: 0.1456 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1478 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1470 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1429 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1465 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1467 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1473 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1431 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1422 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1421 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1456 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1398 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1466 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1476 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1476 data: 0.0014 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 63.42 precision@0.6 = 58.17 precision@0.7 = 50.39 precision@0.8 = 38.28 precision@0.9 = 17.22 overall IoU = 55.19 mean IoU = 56.22 Average object IoU 0.5622015459021787 Overall IoU 55.194192399089815 Epoch: [13] [ 0/5278] eta: 10:13:04 lr: 3.510271088160942e-05 loss: 0.0911 (0.0911) loss_seg: 0.0900 (0.0900) loss_lansim: 0.1074 (0.1074) loss_contra: 0.0000 (0.0000) time: 6.9695 data: 1.4130 max mem: 31671 Epoch: [13] [ 10/5278] eta: 4:18:51 lr: 3.510049393829914e-05 loss: 0.1019 (0.1112) loss_seg: 0.1128 (0.1202) loss_lansim: 0.1118 (0.1163) loss_contra: 0.0000 (0.0001) time: 2.9483 data: 0.1310 max mem: 31671 Epoch: [13] [ 20/5278] eta: 3:56:13 lr: 3.509827697943078e-05 loss: 0.0911 (0.0950) loss_seg: 0.0900 (0.1009) loss_lansim: 0.1123 (0.1158) loss_contra: 0.0001 (0.0022) time: 2.6955 data: 0.0692 max mem: 31671 Epoch: [13] [ 30/5278] eta: 3:53:19 lr: 3.50960600050031e-05 loss: 0.0758 (0.0844) loss_seg: 0.0791 (0.0899) loss_lansim: 0.1126 (0.1137) loss_contra: 0.0001 (0.0070) time: 2.6675 data: 0.0477 max mem: 31671 Epoch: [13] [ 40/5278] eta: 3:50:17 lr: 3.509384301501493e-05 loss: 0.0758 (0.0864) loss_seg: 0.0791 (0.0921) loss_lansim: 0.1123 (0.1122) loss_contra: 0.0001 (0.0071) time: 2.6380 data: 0.0367 max mem: 31671 Epoch: [13] [ 50/5278] eta: 3:48:40 lr: 3.5091626009465064e-05 loss: 0.0779 (0.0897) loss_seg: 0.0816 (0.0959) loss_lansim: 0.1123 (0.1127) loss_contra: 0.0001 (0.0064) time: 2.6245 data: 0.0300 max mem: 31671 Epoch: [13] [ 60/5278] eta: 3:46:17 lr: 3.508940898835228e-05 loss: 0.0785 (0.0885) loss_seg: 0.0838 (0.0944) loss_lansim: 0.1118 (0.1116) loss_contra: 0.0002 (0.0063) time: 2.6020 data: 0.0254 max mem: 31671 Epoch: [13] [ 70/5278] eta: 3:45:05 lr: 3.5087191951675405e-05 loss: 0.0779 (0.0902) loss_seg: 0.0816 (0.0960) loss_lansim: 0.1123 (0.1118) loss_contra: 0.0002 (0.0072) time: 2.5933 data: 0.0222 max mem: 31671 Epoch: [13] [ 80/5278] eta: 3:45:03 lr: 3.508497489943321e-05 loss: 0.0772 (0.0886) loss_seg: 0.0816 (0.0943) loss_lansim: 0.1098 (0.1109) loss_contra: 0.0001 (0.0105) time: 2.5979 data: 0.0197 max mem: 31671 Epoch: [13] [ 90/5278] eta: 3:43:50 lr: 3.508275783162452e-05 loss: 0.0779 (0.0877) loss_seg: 0.0838 (0.0937) loss_lansim: 0.1092 (0.1106) loss_contra: 0.0002 (0.0109) time: 2.5887 data: 0.0178 max mem: 31671 Epoch: [13] [ 100/5278] eta: 3:42:49 lr: 3.508054074824812e-05 loss: 0.0779 (0.0880) loss_seg: 0.0838 (0.0942) loss_lansim: 0.1089 (0.1114) loss_contra: 0.0002 (0.0107) time: 2.5381 data: 0.0023 max mem: 31671 Epoch: [13] [ 110/5278] eta: 3:41:53 lr: 3.50783236493028e-05 loss: 0.0753 (0.0874) loss_seg: 0.0791 (0.0936) loss_lansim: 0.1085 (0.1111) loss_contra: 0.0003 (0.0121) time: 2.5351 data: 0.0023 max mem: 31671 Epoch: [13] [ 120/5278] eta: 3:40:59 lr: 3.5076106534787354e-05 loss: 0.0753 (0.0862) loss_seg: 0.0794 (0.0923) loss_lansim: 0.1080 (0.1115) loss_contra: 0.0003 (0.0119) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [13] [ 130/5278] eta: 3:41:07 lr: 3.5073889404700605e-05 loss: 0.0756 (0.0873) loss_seg: 0.0837 (0.0938) loss_lansim: 0.1074 (0.1113) loss_contra: 0.0005 (0.0115) time: 2.5493 data: 0.0024 max mem: 31671 Epoch: [13] [ 140/5278] eta: 3:40:12 lr: 3.507167225904132e-05 loss: 0.0754 (0.0862) loss_seg: 0.0811 (0.0928) loss_lansim: 0.1072 (0.1108) loss_contra: 0.0004 (0.0107) time: 2.5443 data: 0.0024 max mem: 31671 Epoch: [13] [ 150/5278] eta: 3:39:47 lr: 3.506945509780832e-05 loss: 0.0719 (0.0862) loss_seg: 0.0789 (0.0929) loss_lansim: 0.1044 (0.1102) loss_contra: 0.0003 (0.0100) time: 2.5448 data: 0.0024 max mem: 31671 Epoch: [13] [ 160/5278] eta: 3:39:05 lr: 3.506723792100039e-05 loss: 0.0719 (0.0870) loss_seg: 0.0794 (0.0938) loss_lansim: 0.1059 (0.1102) loss_contra: 0.0002 (0.0099) time: 2.5479 data: 0.0024 max mem: 31671 Epoch: [13] [ 170/5278] eta: 3:38:49 lr: 3.5065020728616324e-05 loss: 0.0732 (0.0870) loss_seg: 0.0796 (0.0939) loss_lansim: 0.1044 (0.1099) loss_contra: 0.0002 (0.0098) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [13] [ 180/5278] eta: 3:38:16 lr: 3.506280352065492e-05 loss: 0.0719 (0.0863) loss_seg: 0.0794 (0.0931) loss_lansim: 0.1052 (0.1098) loss_contra: 0.0002 (0.0092) time: 2.5454 data: 0.0025 max mem: 31671 Epoch: [13] [ 190/5278] eta: 3:37:47 lr: 3.5060586297114976e-05 loss: 0.0713 (0.0855) loss_seg: 0.0789 (0.0922) loss_lansim: 0.1058 (0.1098) loss_contra: 0.0001 (0.0088) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [13] [ 200/5278] eta: 3:36:57 lr: 3.505836905799529e-05 loss: 0.0709 (0.0856) loss_seg: 0.0781 (0.0923) loss_lansim: 0.1043 (0.1095) loss_contra: 0.0001 (0.0094) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [13] [ 210/5278] eta: 3:36:40 lr: 3.505615180329466e-05 loss: 0.0713 (0.0854) loss_seg: 0.0781 (0.0921) loss_lansim: 0.1058 (0.1096) loss_contra: 0.0001 (0.0090) time: 2.5530 data: 0.0025 max mem: 31671 Epoch: [13] [ 220/5278] eta: 3:36:11 lr: 3.505393453301186e-05 loss: 0.0717 (0.0860) loss_seg: 0.0789 (0.0927) loss_lansim: 0.1052 (0.1095) loss_contra: 0.0001 (0.0087) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [13] [ 230/5278] eta: 3:35:45 lr: 3.5051717247145717e-05 loss: 0.0717 (0.0860) loss_seg: 0.0789 (0.0929) loss_lansim: 0.1044 (0.1092) loss_contra: 0.0001 (0.0084) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [13] [ 240/5278] eta: 3:35:20 lr: 3.504949994569501e-05 loss: 0.0713 (0.0852) loss_seg: 0.0781 (0.0921) loss_lansim: 0.1048 (0.1092) loss_contra: 0.0001 (0.0081) time: 2.5547 data: 0.0025 max mem: 31671 Epoch: [13] [ 250/5278] eta: 3:34:44 lr: 3.5047282628658526e-05 loss: 0.0719 (0.0849) loss_seg: 0.0781 (0.0917) loss_lansim: 0.1052 (0.1089) loss_contra: 0.0001 (0.0078) time: 2.5489 data: 0.0025 max mem: 31671 Epoch: [13] [ 260/5278] eta: 3:34:19 lr: 3.5045065296035086e-05 loss: 0.0709 (0.0842) loss_seg: 0.0755 (0.0911) loss_lansim: 0.1035 (0.1084) loss_contra: 0.0001 (0.0076) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [13] [ 270/5278] eta: 3:33:42 lr: 3.5042847947823455e-05 loss: 0.0705 (0.0836) loss_seg: 0.0746 (0.0904) loss_lansim: 0.1052 (0.1085) loss_contra: 0.0001 (0.0074) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [13] [ 280/5278] eta: 3:33:05 lr: 3.504063058402244e-05 loss: 0.0709 (0.0837) loss_seg: 0.0746 (0.0905) loss_lansim: 0.1038 (0.1084) loss_contra: 0.0001 (0.0071) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [13] [ 290/5278] eta: 3:32:12 lr: 3.5038413204630836e-05 loss: 0.0709 (0.0836) loss_seg: 0.0746 (0.0904) loss_lansim: 0.1048 (0.1085) loss_contra: 0.0001 (0.0069) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [13] [ 300/5278] eta: 3:31:31 lr: 3.5036195809647435e-05 loss: 0.0705 (0.0830) loss_seg: 0.0723 (0.0897) loss_lansim: 0.1048 (0.1083) loss_contra: 0.0001 (0.0067) time: 2.5215 data: 0.0025 max mem: 31671 Epoch: [13] [ 310/5278] eta: 3:31:05 lr: 3.5033978399071045e-05 loss: 0.0654 (0.0825) loss_seg: 0.0708 (0.0891) loss_lansim: 0.1048 (0.1083) loss_contra: 0.0001 (0.0066) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [13] [ 320/5278] eta: 3:30:39 lr: 3.503176097290043e-05 loss: 0.0642 (0.0821) loss_seg: 0.0695 (0.0888) loss_lansim: 0.1041 (0.1083) loss_contra: 0.0001 (0.0064) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [13] [ 330/5278] eta: 3:30:04 lr: 3.502954353113441e-05 loss: 0.0627 (0.0816) loss_seg: 0.0692 (0.0882) loss_lansim: 0.1040 (0.1082) loss_contra: 0.0001 (0.0064) time: 2.5081 data: 0.0025 max mem: 31671 Epoch: [13] [ 340/5278] eta: 3:29:44 lr: 3.502732607377177e-05 loss: 0.0643 (0.0812) loss_seg: 0.0704 (0.0878) loss_lansim: 0.1039 (0.1081) loss_contra: 0.0001 (0.0072) time: 2.5101 data: 0.0025 max mem: 31671 Epoch: [13] [ 350/5278] eta: 3:29:24 lr: 3.50251086008113e-05 loss: 0.0626 (0.0811) loss_seg: 0.0687 (0.0876) loss_lansim: 0.1039 (0.1079) loss_contra: 0.0000 (0.0071) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [13] [ 360/5278] eta: 3:28:57 lr: 3.5022891112251796e-05 loss: 0.0626 (0.0813) loss_seg: 0.0687 (0.0879) loss_lansim: 0.1059 (0.1079) loss_contra: 0.0000 (0.0070) time: 2.5142 data: 0.0025 max mem: 31671 Epoch: [13] [ 370/5278] eta: 3:28:26 lr: 3.5020673608092055e-05 loss: 0.0643 (0.0812) loss_seg: 0.0692 (0.0878) loss_lansim: 0.1054 (0.1080) loss_contra: 0.0000 (0.0072) time: 2.5153 data: 0.0025 max mem: 31671 Epoch: [13] [ 380/5278] eta: 3:27:53 lr: 3.5018456088330855e-05 loss: 0.0644 (0.0811) loss_seg: 0.0695 (0.0877) loss_lansim: 0.1066 (0.1080) loss_contra: 0.0000 (0.0071) time: 2.5144 data: 0.0025 max mem: 31671 Epoch: [13] [ 390/5278] eta: 3:27:22 lr: 3.5016238552967004e-05 loss: 0.0647 (0.0814) loss_seg: 0.0710 (0.0880) loss_lansim: 0.1059 (0.1080) loss_contra: 0.0000 (0.0070) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [13] [ 400/5278] eta: 3:27:00 lr: 3.5014021001999294e-05 loss: 0.0676 (0.0817) loss_seg: 0.0716 (0.0884) loss_lansim: 0.1066 (0.1081) loss_contra: 0.0000 (0.0068) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [13] [ 410/5278] eta: 3:26:44 lr: 3.5011803435426506e-05 loss: 0.0719 (0.0819) loss_seg: 0.0795 (0.0886) loss_lansim: 0.1066 (0.1082) loss_contra: 0.0001 (0.0069) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [13] [ 420/5278] eta: 3:26:19 lr: 3.500958585324744e-05 loss: 0.0729 (0.0818) loss_seg: 0.0806 (0.0885) loss_lansim: 0.1068 (0.1082) loss_contra: 0.0000 (0.0068) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [13] [ 430/5278] eta: 3:25:52 lr: 3.500736825546087e-05 loss: 0.0740 (0.0821) loss_seg: 0.0810 (0.0888) loss_lansim: 0.1077 (0.1082) loss_contra: 0.0001 (0.0066) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [13] [ 440/5278] eta: 3:25:17 lr: 3.500515064206563e-05 loss: 0.0733 (0.0818) loss_seg: 0.0807 (0.0885) loss_lansim: 0.1077 (0.1081) loss_contra: 0.0001 (0.0065) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [13] [ 450/5278] eta: 3:24:52 lr: 3.500293301306047e-05 loss: 0.0740 (0.0817) loss_seg: 0.0810 (0.0883) loss_lansim: 0.1090 (0.1083) loss_contra: 0.0001 (0.0064) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [13] [ 460/5278] eta: 3:24:22 lr: 3.5000715368444193e-05 loss: 0.0733 (0.0814) loss_seg: 0.0807 (0.0880) loss_lansim: 0.1091 (0.1083) loss_contra: 0.0001 (0.0063) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [13] [ 470/5278] eta: 3:23:54 lr: 3.4998497708215596e-05 loss: 0.0740 (0.0812) loss_seg: 0.0807 (0.0878) loss_lansim: 0.1108 (0.1087) loss_contra: 0.0001 (0.0063) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [13] [ 480/5278] eta: 3:23:34 lr: 3.499628003237347e-05 loss: 0.0717 (0.0808) loss_seg: 0.0781 (0.0874) loss_lansim: 0.1109 (0.1088) loss_contra: 0.0001 (0.0062) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [13] [ 490/5278] eta: 3:23:10 lr: 3.4994062340916606e-05 loss: 0.0709 (0.0809) loss_seg: 0.0760 (0.0875) loss_lansim: 0.1108 (0.1087) loss_contra: 0.0001 (0.0061) time: 2.5483 data: 0.0025 max mem: 31671 Epoch: [13] [ 500/5278] eta: 3:22:38 lr: 3.499184463384379e-05 loss: 0.0714 (0.0812) loss_seg: 0.0781 (0.0879) loss_lansim: 0.1109 (0.1088) loss_contra: 0.0001 (0.0060) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [13] [ 510/5278] eta: 3:22:10 lr: 3.49896269111538e-05 loss: 0.0696 (0.0822) loss_seg: 0.0754 (0.0888) loss_lansim: 0.1114 (0.1088) loss_contra: 0.0001 (0.0060) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [13] [ 520/5278] eta: 3:21:45 lr: 3.4987409172845456e-05 loss: 0.0699 (0.0819) loss_seg: 0.0754 (0.0885) loss_lansim: 0.1108 (0.1088) loss_contra: 0.0001 (0.0060) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [13] [ 530/5278] eta: 3:21:20 lr: 3.4985191418917526e-05 loss: 0.0689 (0.0821) loss_seg: 0.0751 (0.0887) loss_lansim: 0.1122 (0.1089) loss_contra: 0.0001 (0.0059) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [13] [ 540/5278] eta: 3:21:00 lr: 3.49829736493688e-05 loss: 0.0709 (0.0824) loss_seg: 0.0754 (0.0890) loss_lansim: 0.1134 (0.1090) loss_contra: 0.0001 (0.0058) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [13] [ 550/5278] eta: 3:20:32 lr: 3.4980755864198076e-05 loss: 0.0741 (0.0829) loss_seg: 0.0785 (0.0895) loss_lansim: 0.1130 (0.1091) loss_contra: 0.0001 (0.0057) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [13] [ 560/5278] eta: 3:20:06 lr: 3.4978538063404144e-05 loss: 0.0749 (0.0831) loss_seg: 0.0813 (0.0896) loss_lansim: 0.1122 (0.1091) loss_contra: 0.0001 (0.0061) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [13] [ 570/5278] eta: 3:19:36 lr: 3.497632024698579e-05 loss: 0.0773 (0.0838) loss_seg: 0.0820 (0.0904) loss_lansim: 0.1097 (0.1090) loss_contra: 0.0001 (0.0062) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [13] [ 580/5278] eta: 3:19:06 lr: 3.4974102414941796e-05 loss: 0.0796 (0.0840) loss_seg: 0.0877 (0.0906) loss_lansim: 0.1090 (0.1091) loss_contra: 0.0001 (0.0061) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [13] [ 590/5278] eta: 3:18:34 lr: 3.497188456727096e-05 loss: 0.0803 (0.0841) loss_seg: 0.0887 (0.0908) loss_lansim: 0.1093 (0.1090) loss_contra: 0.0001 (0.0060) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [13] [ 600/5278] eta: 3:18:01 lr: 3.4969666703972076e-05 loss: 0.0796 (0.0840) loss_seg: 0.0873 (0.0907) loss_lansim: 0.1090 (0.1091) loss_contra: 0.0001 (0.0059) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [13] [ 610/5278] eta: 3:17:39 lr: 3.496744882504392e-05 loss: 0.0807 (0.0847) loss_seg: 0.0887 (0.0914) loss_lansim: 0.1093 (0.1091) loss_contra: 0.0001 (0.0058) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [13] [ 620/5278] eta: 3:17:08 lr: 3.496523093048528e-05 loss: 0.0832 (0.0846) loss_seg: 0.0891 (0.0912) loss_lansim: 0.1089 (0.1090) loss_contra: 0.0001 (0.0058) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [13] [ 630/5278] eta: 3:16:45 lr: 3.496301302029496e-05 loss: 0.0832 (0.0846) loss_seg: 0.0896 (0.0913) loss_lansim: 0.1072 (0.1090) loss_contra: 0.0001 (0.0057) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [13] [ 640/5278] eta: 3:16:15 lr: 3.4960795094471725e-05 loss: 0.0832 (0.0850) loss_seg: 0.0888 (0.0917) loss_lansim: 0.1072 (0.1091) loss_contra: 0.0001 (0.0056) time: 2.5032 data: 0.0025 max mem: 31671 Epoch: [13] [ 650/5278] eta: 3:15:46 lr: 3.495857715301439e-05 loss: 0.0817 (0.0852) loss_seg: 0.0878 (0.0918) loss_lansim: 0.1072 (0.1091) loss_contra: 0.0001 (0.0055) time: 2.5009 data: 0.0025 max mem: 31671 Epoch: [13] [ 660/5278] eta: 3:15:19 lr: 3.495635919592172e-05 loss: 0.0832 (0.0853) loss_seg: 0.0896 (0.0920) loss_lansim: 0.1075 (0.1091) loss_contra: 0.0001 (0.0055) time: 2.4990 data: 0.0026 max mem: 31671 Epoch: [13] [ 670/5278] eta: 3:14:53 lr: 3.4954141223192514e-05 loss: 0.0826 (0.0852) loss_seg: 0.0881 (0.0918) loss_lansim: 0.1075 (0.1091) loss_contra: 0.0001 (0.0056) time: 2.5012 data: 0.0026 max mem: 31671 Epoch: [13] [ 680/5278] eta: 3:14:28 lr: 3.4951923234825556e-05 loss: 0.0807 (0.0849) loss_seg: 0.0873 (0.0915) loss_lansim: 0.1072 (0.1091) loss_contra: 0.0001 (0.0068) time: 2.5081 data: 0.0026 max mem: 31671 Epoch: [13] [ 690/5278] eta: 3:14:06 lr: 3.494970523081964e-05 loss: 0.0799 (0.0855) loss_seg: 0.0870 (0.0922) loss_lansim: 0.1075 (0.1091) loss_contra: 0.0001 (0.0068) time: 2.5199 data: 0.0026 max mem: 31671 Epoch: [13] [ 700/5278] eta: 3:13:44 lr: 3.494748721117353e-05 loss: 0.0807 (0.0853) loss_seg: 0.0878 (0.0920) loss_lansim: 0.1076 (0.1091) loss_contra: 0.0001 (0.0067) time: 2.5352 data: 0.0026 max mem: 31671 Epoch: [13] [ 710/5278] eta: 3:13:22 lr: 3.494526917588604e-05 loss: 0.0797 (0.0853) loss_seg: 0.0868 (0.0920) loss_lansim: 0.1095 (0.1093) loss_contra: 0.0001 (0.0067) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [13] [ 720/5278] eta: 3:12:55 lr: 3.494305112495594e-05 loss: 0.0817 (0.0853) loss_seg: 0.0881 (0.0921) loss_lansim: 0.1115 (0.1093) loss_contra: 0.0001 (0.0067) time: 2.5402 data: 0.0026 max mem: 31671 Epoch: [13] [ 730/5278] eta: 3:12:26 lr: 3.494083305838202e-05 loss: 0.0829 (0.0857) loss_seg: 0.0910 (0.0925) loss_lansim: 0.1125 (0.1093) loss_contra: 0.0001 (0.0071) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [13] [ 740/5278] eta: 3:12:01 lr: 3.4938614976163076e-05 loss: 0.0823 (0.0855) loss_seg: 0.0904 (0.0923) loss_lansim: 0.1115 (0.1093) loss_contra: 0.0001 (0.0072) time: 2.5385 data: 0.0025 max mem: 31671 Epoch: [13] [ 750/5278] eta: 3:11:35 lr: 3.493639687829788e-05 loss: 0.0845 (0.0856) loss_seg: 0.0924 (0.0923) loss_lansim: 0.1115 (0.1094) loss_contra: 0.0001 (0.0072) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [13] [ 760/5278] eta: 3:11:07 lr: 3.493417876478523e-05 loss: 0.0806 (0.0853) loss_seg: 0.0876 (0.0920) loss_lansim: 0.1107 (0.1093) loss_contra: 0.0001 (0.0080) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [13] [ 770/5278] eta: 3:10:41 lr: 3.49319606356239e-05 loss: 0.0829 (0.0860) loss_seg: 0.0910 (0.0927) loss_lansim: 0.1115 (0.1094) loss_contra: 0.0001 (0.0079) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [13] [ 780/5278] eta: 3:10:15 lr: 3.4929742490812686e-05 loss: 0.0829 (0.0858) loss_seg: 0.0910 (0.0924) loss_lansim: 0.1117 (0.1094) loss_contra: 0.0001 (0.0078) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [13] [ 790/5278] eta: 3:09:47 lr: 3.492752433035037e-05 loss: 0.0806 (0.0858) loss_seg: 0.0876 (0.0924) loss_lansim: 0.1115 (0.1093) loss_contra: 0.0001 (0.0077) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [13] [ 800/5278] eta: 3:09:21 lr: 3.492530615423572e-05 loss: 0.0806 (0.0857) loss_seg: 0.0876 (0.0924) loss_lansim: 0.1111 (0.1093) loss_contra: 0.0001 (0.0077) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [13] [ 810/5278] eta: 3:08:56 lr: 3.4923087962467555e-05 loss: 0.0788 (0.0857) loss_seg: 0.0872 (0.0923) loss_lansim: 0.1071 (0.1092) loss_contra: 0.0002 (0.0076) time: 2.5180 data: 0.0025 max mem: 31671 Epoch: [13] [ 820/5278] eta: 3:08:32 lr: 3.4920869755044635e-05 loss: 0.0755 (0.0856) loss_seg: 0.0832 (0.0922) loss_lansim: 0.1070 (0.1092) loss_contra: 0.0002 (0.0076) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [13] [ 830/5278] eta: 3:08:03 lr: 3.491865153196575e-05 loss: 0.0752 (0.0856) loss_seg: 0.0827 (0.0921) loss_lansim: 0.1066 (0.1092) loss_contra: 0.0001 (0.0075) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [13] [ 840/5278] eta: 3:07:39 lr: 3.491643329322969e-05 loss: 0.0755 (0.0855) loss_seg: 0.0832 (0.0921) loss_lansim: 0.1063 (0.1091) loss_contra: 0.0001 (0.0075) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [13] [ 850/5278] eta: 3:07:15 lr: 3.491421503883523e-05 loss: 0.0731 (0.0854) loss_seg: 0.0778 (0.0920) loss_lansim: 0.1047 (0.1090) loss_contra: 0.0002 (0.0074) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [13] [ 860/5278] eta: 3:06:50 lr: 3.491199676878116e-05 loss: 0.0752 (0.0855) loss_seg: 0.0827 (0.0920) loss_lansim: 0.1047 (0.1089) loss_contra: 0.0001 (0.0074) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [13] [ 870/5278] eta: 3:06:21 lr: 3.490977848306626e-05 loss: 0.0745 (0.0855) loss_seg: 0.0809 (0.0921) loss_lansim: 0.1027 (0.1089) loss_contra: 0.0002 (0.0075) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [13] [ 880/5278] eta: 3:06:00 lr: 3.4907560181689314e-05 loss: 0.0746 (0.0858) loss_seg: 0.0827 (0.0924) loss_lansim: 0.1025 (0.1088) loss_contra: 0.0002 (0.0075) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [13] [ 890/5278] eta: 3:05:39 lr: 3.4905341864649117e-05 loss: 0.0755 (0.0857) loss_seg: 0.0832 (0.0924) loss_lansim: 0.1031 (0.1088) loss_contra: 0.0002 (0.0074) time: 2.5489 data: 0.0025 max mem: 31671 Epoch: [13] [ 900/5278] eta: 3:05:10 lr: 3.490312353194444e-05 loss: 0.0746 (0.0858) loss_seg: 0.0827 (0.0925) loss_lansim: 0.1031 (0.1088) loss_contra: 0.0001 (0.0074) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [13] [ 910/5278] eta: 3:04:47 lr: 3.490090518357406e-05 loss: 0.0745 (0.0858) loss_seg: 0.0809 (0.0924) loss_lansim: 0.1031 (0.1087) loss_contra: 0.0002 (0.0074) time: 2.5471 data: 0.0025 max mem: 31671 Epoch: [13] [ 920/5278] eta: 3:04:21 lr: 3.489868681953679e-05 loss: 0.0765 (0.0858) loss_seg: 0.0833 (0.0924) loss_lansim: 0.1031 (0.1088) loss_contra: 0.0002 (0.0073) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [13] [ 930/5278] eta: 3:03:59 lr: 3.489646843983137e-05 loss: 0.0732 (0.0859) loss_seg: 0.0809 (0.0925) loss_lansim: 0.1031 (0.1087) loss_contra: 0.0002 (0.0073) time: 2.5584 data: 0.0024 max mem: 31671 Epoch: [13] [ 940/5278] eta: 3:03:36 lr: 3.489425004445662e-05 loss: 0.0765 (0.0860) loss_seg: 0.0810 (0.0927) loss_lansim: 0.1029 (0.1086) loss_contra: 0.0002 (0.0073) time: 2.5621 data: 0.0024 max mem: 31671 Epoch: [13] [ 950/5278] eta: 3:03:13 lr: 3.48920316334113e-05 loss: 0.0765 (0.0861) loss_seg: 0.0833 (0.0927) loss_lansim: 0.1031 (0.1086) loss_contra: 0.0002 (0.0073) time: 2.5616 data: 0.0024 max mem: 31671 Epoch: [13] [ 960/5278] eta: 3:02:49 lr: 3.48898132066942e-05 loss: 0.0786 (0.0861) loss_seg: 0.0837 (0.0929) loss_lansim: 0.1053 (0.1085) loss_contra: 0.0002 (0.0076) time: 2.5647 data: 0.0024 max mem: 31671 Epoch: [13] [ 970/5278] eta: 3:02:26 lr: 3.4887594764304105e-05 loss: 0.0761 (0.0859) loss_seg: 0.0822 (0.0926) loss_lansim: 0.1041 (0.1084) loss_contra: 0.0002 (0.0075) time: 2.5772 data: 0.0024 max mem: 31671 Epoch: [13] [ 980/5278] eta: 3:02:00 lr: 3.488537630623979e-05 loss: 0.0765 (0.0862) loss_seg: 0.0831 (0.0929) loss_lansim: 0.1031 (0.1083) loss_contra: 0.0002 (0.0081) time: 2.5681 data: 0.0024 max mem: 31671 Epoch: [13] [ 990/5278] eta: 3:01:34 lr: 3.488315783250004e-05 loss: 0.0765 (0.0862) loss_seg: 0.0831 (0.0929) loss_lansim: 0.1011 (0.1082) loss_contra: 0.0003 (0.0082) time: 2.5610 data: 0.0024 max mem: 31671 Epoch: [13] [1000/5278] eta: 3:01:10 lr: 3.488093934308365e-05 loss: 0.0763 (0.0861) loss_seg: 0.0829 (0.0928) loss_lansim: 0.0999 (0.1081) loss_contra: 0.0003 (0.0081) time: 2.5698 data: 0.0024 max mem: 31671 Epoch: [13] [1010/5278] eta: 3:00:45 lr: 3.487872083798936e-05 loss: 0.0794 (0.0863) loss_seg: 0.0837 (0.0930) loss_lansim: 0.0993 (0.1080) loss_contra: 0.0003 (0.0081) time: 2.5668 data: 0.0024 max mem: 31671 Epoch: [13] [1020/5278] eta: 3:00:21 lr: 3.4876502317216e-05 loss: 0.0761 (0.0863) loss_seg: 0.0822 (0.0930) loss_lansim: 0.0981 (0.1080) loss_contra: 0.0003 (0.0081) time: 2.5725 data: 0.0024 max mem: 31671 Epoch: [13] [1030/5278] eta: 2:59:55 lr: 3.487428378076233e-05 loss: 0.0742 (0.0862) loss_seg: 0.0797 (0.0929) loss_lansim: 0.0975 (0.1079) loss_contra: 0.0003 (0.0080) time: 2.5613 data: 0.0024 max mem: 31671 Epoch: [13] [1040/5278] eta: 2:59:30 lr: 3.487206522862713e-05 loss: 0.0742 (0.0862) loss_seg: 0.0805 (0.0929) loss_lansim: 0.0974 (0.1077) loss_contra: 0.0003 (0.0083) time: 2.5574 data: 0.0024 max mem: 31671 Epoch: [13] [1050/5278] eta: 2:59:02 lr: 3.486984666080918e-05 loss: 0.0741 (0.0864) loss_seg: 0.0795 (0.0931) loss_lansim: 0.0964 (0.1076) loss_contra: 0.0002 (0.0083) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [13] [1060/5278] eta: 2:58:39 lr: 3.4867628077307255e-05 loss: 0.0731 (0.0863) loss_seg: 0.0795 (0.0930) loss_lansim: 0.0952 (0.1075) loss_contra: 0.0002 (0.0085) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [13] [1070/5278] eta: 2:58:16 lr: 3.486540947812015e-05 loss: 0.0741 (0.0866) loss_seg: 0.0800 (0.0932) loss_lansim: 0.0958 (0.1074) loss_contra: 0.0002 (0.0084) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [13] [1080/5278] eta: 2:57:55 lr: 3.4863190863246636e-05 loss: 0.0731 (0.0865) loss_seg: 0.0796 (0.0932) loss_lansim: 0.0962 (0.1074) loss_contra: 0.0002 (0.0084) time: 2.5647 data: 0.0025 max mem: 31671 Epoch: [13] [1090/5278] eta: 2:57:31 lr: 3.4860972232685494e-05 loss: 0.0731 (0.0864) loss_seg: 0.0796 (0.0931) loss_lansim: 0.0966 (0.1073) loss_contra: 0.0001 (0.0083) time: 2.5693 data: 0.0025 max mem: 31671 Epoch: [13] [1100/5278] eta: 2:57:06 lr: 3.485875358643551e-05 loss: 0.0694 (0.0864) loss_seg: 0.0769 (0.0930) loss_lansim: 0.0968 (0.1073) loss_contra: 0.0001 (0.0083) time: 2.5681 data: 0.0025 max mem: 31671 Epoch: [13] [1110/5278] eta: 2:56:40 lr: 3.485653492449545e-05 loss: 0.0693 (0.0862) loss_seg: 0.0758 (0.0928) loss_lansim: 0.0985 (0.1073) loss_contra: 0.0001 (0.0083) time: 2.5656 data: 0.0025 max mem: 31671 Epoch: [13] [1120/5278] eta: 2:56:13 lr: 3.485431624686411e-05 loss: 0.0693 (0.0863) loss_seg: 0.0758 (0.0929) loss_lansim: 0.0968 (0.1072) loss_contra: 0.0001 (0.0083) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [13] [1130/5278] eta: 2:55:48 lr: 3.4852097553540256e-05 loss: 0.0694 (0.0863) loss_seg: 0.0763 (0.0929) loss_lansim: 0.0962 (0.1071) loss_contra: 0.0001 (0.0083) time: 2.5619 data: 0.0024 max mem: 31671 Epoch: [13] [1140/5278] eta: 2:55:27 lr: 3.4849878844522667e-05 loss: 0.0690 (0.0862) loss_seg: 0.0748 (0.0928) loss_lansim: 0.0961 (0.1070) loss_contra: 0.0001 (0.0082) time: 2.5721 data: 0.0024 max mem: 31671 Epoch: [13] [1150/5278] eta: 2:55:03 lr: 3.4847660119810126e-05 loss: 0.0654 (0.0860) loss_seg: 0.0721 (0.0926) loss_lansim: 0.0958 (0.1068) loss_contra: 0.0001 (0.0082) time: 2.5825 data: 0.0024 max mem: 31671 Epoch: [13] [1160/5278] eta: 2:54:35 lr: 3.4845441379401414e-05 loss: 0.0677 (0.0860) loss_seg: 0.0727 (0.0926) loss_lansim: 0.0957 (0.1067) loss_contra: 0.0002 (0.0085) time: 2.5692 data: 0.0024 max mem: 31671 Epoch: [13] [1170/5278] eta: 2:54:13 lr: 3.4843222623295305e-05 loss: 0.0654 (0.0858) loss_seg: 0.0721 (0.0924) loss_lansim: 0.0955 (0.1066) loss_contra: 0.0001 (0.0084) time: 2.5728 data: 0.0024 max mem: 31671 Epoch: [13] [1180/5278] eta: 2:53:47 lr: 3.484100385149059e-05 loss: 0.0654 (0.0858) loss_seg: 0.0721 (0.0924) loss_lansim: 0.0952 (0.1066) loss_contra: 0.0001 (0.0084) time: 2.5594 data: 0.0024 max mem: 31671 Epoch: [13] [1190/5278] eta: 2:53:22 lr: 3.483878506398603e-05 loss: 0.0701 (0.0860) loss_seg: 0.0755 (0.0927) loss_lansim: 0.0952 (0.1065) loss_contra: 0.0002 (0.0084) time: 2.5568 data: 0.0024 max mem: 31671 Epoch: [13] [1200/5278] eta: 2:52:59 lr: 3.483656626078041e-05 loss: 0.0701 (0.0859) loss_seg: 0.0755 (0.0926) loss_lansim: 0.0941 (0.1063) loss_contra: 0.0003 (0.0085) time: 2.5645 data: 0.0024 max mem: 31671 Epoch: [13] [1210/5278] eta: 2:52:35 lr: 3.4834347441872506e-05 loss: 0.0714 (0.0859) loss_seg: 0.0783 (0.0925) loss_lansim: 0.0941 (0.1063) loss_contra: 0.0002 (0.0087) time: 2.5689 data: 0.0024 max mem: 31671 Epoch: [13] [1220/5278] eta: 2:52:10 lr: 3.483212860726109e-05 loss: 0.0701 (0.0858) loss_seg: 0.0755 (0.0924) loss_lansim: 0.0948 (0.1062) loss_contra: 0.0002 (0.0086) time: 2.5763 data: 0.0025 max mem: 31671 Epoch: [13] [1230/5278] eta: 2:51:45 lr: 3.4829909756944964e-05 loss: 0.0734 (0.0859) loss_seg: 0.0806 (0.0925) loss_lansim: 0.0948 (0.1062) loss_contra: 0.0003 (0.0086) time: 2.5779 data: 0.0025 max mem: 31671 Epoch: [13] [1240/5278] eta: 2:51:21 lr: 3.482769089092287e-05 loss: 0.0737 (0.0859) loss_seg: 0.0813 (0.0926) loss_lansim: 0.0949 (0.1062) loss_contra: 0.0002 (0.0085) time: 2.5717 data: 0.0025 max mem: 31671 Epoch: [13] [1250/5278] eta: 2:50:55 lr: 3.482547200919361e-05 loss: 0.0776 (0.0859) loss_seg: 0.0844 (0.0925) loss_lansim: 0.0960 (0.1061) loss_contra: 0.0002 (0.0085) time: 2.5658 data: 0.0026 max mem: 31671 Epoch: [13] [1260/5278] eta: 2:50:31 lr: 3.4823253111755956e-05 loss: 0.0776 (0.0861) loss_seg: 0.0851 (0.0928) loss_lansim: 0.0976 (0.1060) loss_contra: 0.0002 (0.0086) time: 2.5776 data: 0.0025 max mem: 31671 Epoch: [13] [1270/5278] eta: 2:50:05 lr: 3.482103419860868e-05 loss: 0.0783 (0.0861) loss_seg: 0.0857 (0.0928) loss_lansim: 0.0985 (0.1060) loss_contra: 0.0002 (0.0086) time: 2.5659 data: 0.0025 max mem: 31671 Epoch: [13] [1280/5278] eta: 2:49:38 lr: 3.481881526975055e-05 loss: 0.0783 (0.0862) loss_seg: 0.0857 (0.0929) loss_lansim: 0.0984 (0.1060) loss_contra: 0.0002 (0.0085) time: 2.5634 data: 0.0025 max mem: 31671 Epoch: [13] [1290/5278] eta: 2:49:11 lr: 3.481659632518037e-05 loss: 0.0776 (0.0862) loss_seg: 0.0851 (0.0928) loss_lansim: 0.0980 (0.1059) loss_contra: 0.0002 (0.0086) time: 2.5568 data: 0.0025 max mem: 31671 Epoch: [13] [1300/5278] eta: 2:48:45 lr: 3.481437736489688e-05 loss: 0.0811 (0.0864) loss_seg: 0.0875 (0.0930) loss_lansim: 0.0985 (0.1059) loss_contra: 0.0002 (0.0087) time: 2.5488 data: 0.0025 max mem: 31671 Epoch: [13] [1310/5278] eta: 2:48:20 lr: 3.481215838889889e-05 loss: 0.0810 (0.0865) loss_seg: 0.0857 (0.0932) loss_lansim: 0.0990 (0.1059) loss_contra: 0.0002 (0.0086) time: 2.5458 data: 0.0026 max mem: 31671 Epoch: [13] [1320/5278] eta: 2:47:56 lr: 3.4809939397185154e-05 loss: 0.0810 (0.0865) loss_seg: 0.0869 (0.0931) loss_lansim: 0.0988 (0.1059) loss_contra: 0.0002 (0.0089) time: 2.5477 data: 0.0026 max mem: 31671 Epoch: [13] [1330/5278] eta: 2:47:29 lr: 3.4807720389754455e-05 loss: 0.0769 (0.0865) loss_seg: 0.0850 (0.0931) loss_lansim: 0.0990 (0.1059) loss_contra: 0.0002 (0.0089) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [13] [1340/5278] eta: 2:47:05 lr: 3.480550136660557e-05 loss: 0.0782 (0.0866) loss_seg: 0.0851 (0.0932) loss_lansim: 0.1005 (0.1059) loss_contra: 0.0002 (0.0088) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [13] [1350/5278] eta: 2:46:38 lr: 3.4803282327737264e-05 loss: 0.0855 (0.0868) loss_seg: 0.0903 (0.0934) loss_lansim: 0.1008 (0.1059) loss_contra: 0.0003 (0.0088) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [13] [1360/5278] eta: 2:46:11 lr: 3.4801063273148325e-05 loss: 0.0779 (0.0868) loss_seg: 0.0851 (0.0935) loss_lansim: 0.1005 (0.1058) loss_contra: 0.0003 (0.0090) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [13] [1370/5278] eta: 2:45:45 lr: 3.479884420283752e-05 loss: 0.0779 (0.0868) loss_seg: 0.0851 (0.0935) loss_lansim: 0.1007 (0.1058) loss_contra: 0.0003 (0.0089) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [13] [1380/5278] eta: 2:45:18 lr: 3.479662511680363e-05 loss: 0.0782 (0.0869) loss_seg: 0.0851 (0.0936) loss_lansim: 0.1020 (0.1058) loss_contra: 0.0003 (0.0089) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [13] [1390/5278] eta: 2:44:51 lr: 3.479440601504542e-05 loss: 0.0796 (0.0870) loss_seg: 0.0861 (0.0937) loss_lansim: 0.1028 (0.1057) loss_contra: 0.0002 (0.0089) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [13] [1400/5278] eta: 2:44:25 lr: 3.479218689756167e-05 loss: 0.0747 (0.0868) loss_seg: 0.0808 (0.0935) loss_lansim: 0.1024 (0.1057) loss_contra: 0.0003 (0.0088) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [13] [1410/5278] eta: 2:44:01 lr: 3.478996776435116e-05 loss: 0.0768 (0.0868) loss_seg: 0.0837 (0.0935) loss_lansim: 0.1007 (0.1057) loss_contra: 0.0002 (0.0088) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [13] [1420/5278] eta: 2:43:34 lr: 3.478774861541266e-05 loss: 0.0777 (0.0868) loss_seg: 0.0837 (0.0934) loss_lansim: 0.1010 (0.1057) loss_contra: 0.0002 (0.0091) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [13] [1430/5278] eta: 2:43:11 lr: 3.4785529450744924e-05 loss: 0.0779 (0.0867) loss_seg: 0.0845 (0.0934) loss_lansim: 0.1007 (0.1056) loss_contra: 0.0002 (0.0090) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [13] [1440/5278] eta: 2:42:44 lr: 3.478331027034676e-05 loss: 0.0771 (0.0867) loss_seg: 0.0794 (0.0934) loss_lansim: 0.1007 (0.1056) loss_contra: 0.0002 (0.0090) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [13] [1450/5278] eta: 2:42:20 lr: 3.478109107421691e-05 loss: 0.0725 (0.0867) loss_seg: 0.0788 (0.0933) loss_lansim: 0.1006 (0.1056) loss_contra: 0.0001 (0.0089) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [13] [1460/5278] eta: 2:41:53 lr: 3.477887186235418e-05 loss: 0.0717 (0.0866) loss_seg: 0.0779 (0.0932) loss_lansim: 0.1010 (0.1056) loss_contra: 0.0001 (0.0089) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [13] [1470/5278] eta: 2:41:25 lr: 3.477665263475731e-05 loss: 0.0725 (0.0865) loss_seg: 0.0781 (0.0931) loss_lansim: 0.1010 (0.1056) loss_contra: 0.0001 (0.0088) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [13] [1480/5278] eta: 2:41:01 lr: 3.477443339142509e-05 loss: 0.0713 (0.0865) loss_seg: 0.0769 (0.0931) loss_lansim: 0.1006 (0.1056) loss_contra: 0.0001 (0.0088) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [13] [1490/5278] eta: 2:40:33 lr: 3.4772214132356295e-05 loss: 0.0688 (0.0862) loss_seg: 0.0743 (0.0928) loss_lansim: 0.1010 (0.1056) loss_contra: 0.0001 (0.0087) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [13] [1500/5278] eta: 2:40:06 lr: 3.476999485754969e-05 loss: 0.0689 (0.0861) loss_seg: 0.0760 (0.0927) loss_lansim: 0.1018 (0.1056) loss_contra: 0.0001 (0.0088) time: 2.5242 data: 0.0025 max mem: 31671 Epoch: [13] [1510/5278] eta: 2:39:40 lr: 3.4767775567004046e-05 loss: 0.0688 (0.0863) loss_seg: 0.0737 (0.0929) loss_lansim: 0.1043 (0.1056) loss_contra: 0.0001 (0.0087) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [13] [1520/5278] eta: 2:39:15 lr: 3.476555626071815e-05 loss: 0.0688 (0.0863) loss_seg: 0.0730 (0.0929) loss_lansim: 0.1044 (0.1056) loss_contra: 0.0001 (0.0087) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [13] [1530/5278] eta: 2:38:51 lr: 3.4763336938690747e-05 loss: 0.0688 (0.0862) loss_seg: 0.0723 (0.0927) loss_lansim: 0.1052 (0.1056) loss_contra: 0.0001 (0.0087) time: 2.5201 data: 0.0024 max mem: 31671 Epoch: [13] [1540/5278] eta: 2:38:26 lr: 3.4761117600920634e-05 loss: 0.0680 (0.0861) loss_seg: 0.0723 (0.0926) loss_lansim: 0.1053 (0.1056) loss_contra: 0.0001 (0.0086) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [13] [1550/5278] eta: 2:38:00 lr: 3.475889824740657e-05 loss: 0.0677 (0.0861) loss_seg: 0.0718 (0.0927) loss_lansim: 0.1044 (0.1055) loss_contra: 0.0001 (0.0086) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [13] [1560/5278] eta: 2:37:35 lr: 3.4756678878147326e-05 loss: 0.0679 (0.0861) loss_seg: 0.0718 (0.0927) loss_lansim: 0.1037 (0.1055) loss_contra: 0.0001 (0.0085) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [13] [1570/5278] eta: 2:37:10 lr: 3.475445949314168e-05 loss: 0.0652 (0.0861) loss_seg: 0.0715 (0.0927) loss_lansim: 0.1030 (0.1055) loss_contra: 0.0001 (0.0085) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [13] [1580/5278] eta: 2:36:46 lr: 3.47522400923884e-05 loss: 0.0673 (0.0861) loss_seg: 0.0718 (0.0926) loss_lansim: 0.1027 (0.1054) loss_contra: 0.0001 (0.0084) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [13] [1590/5278] eta: 2:36:21 lr: 3.475002067588626e-05 loss: 0.0659 (0.0859) loss_seg: 0.0707 (0.0924) loss_lansim: 0.1018 (0.1054) loss_contra: 0.0001 (0.0084) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [13] [1600/5278] eta: 2:35:56 lr: 3.474780124363402e-05 loss: 0.0673 (0.0858) loss_seg: 0.0711 (0.0923) loss_lansim: 0.1014 (0.1053) loss_contra: 0.0001 (0.0084) time: 2.5640 data: 0.0025 max mem: 31671 Epoch: [13] [1610/5278] eta: 2:35:29 lr: 3.474558179563046e-05 loss: 0.0673 (0.0857) loss_seg: 0.0720 (0.0923) loss_lansim: 0.0999 (0.1053) loss_contra: 0.0001 (0.0083) time: 2.5561 data: 0.0025 max mem: 31671 Epoch: [13] [1620/5278] eta: 2:35:04 lr: 3.4743362331874345e-05 loss: 0.0673 (0.0858) loss_seg: 0.0720 (0.0923) loss_lansim: 0.0998 (0.1053) loss_contra: 0.0001 (0.0083) time: 2.5558 data: 0.0025 max mem: 31671 Epoch: [13] [1630/5278] eta: 2:34:40 lr: 3.474114285236446e-05 loss: 0.0677 (0.0857) loss_seg: 0.0745 (0.0922) loss_lansim: 0.0999 (0.1053) loss_contra: 0.0001 (0.0083) time: 2.5582 data: 0.0025 max mem: 31671 Epoch: [13] [1640/5278] eta: 2:34:14 lr: 3.473892335709954e-05 loss: 0.0683 (0.0857) loss_seg: 0.0747 (0.0922) loss_lansim: 0.0999 (0.1053) loss_contra: 0.0001 (0.0084) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [13] [1650/5278] eta: 2:33:49 lr: 3.473670384607839e-05 loss: 0.0683 (0.0859) loss_seg: 0.0725 (0.0924) loss_lansim: 0.1021 (0.1054) loss_contra: 0.0001 (0.0084) time: 2.5574 data: 0.0025 max mem: 31671 Epoch: [13] [1660/5278] eta: 2:33:21 lr: 3.473448431929977e-05 loss: 0.0683 (0.0860) loss_seg: 0.0725 (0.0925) loss_lansim: 0.1038 (0.1054) loss_contra: 0.0001 (0.0084) time: 2.5452 data: 0.0025 max mem: 31671 Epoch: [13] [1670/5278] eta: 2:32:55 lr: 3.473226477676244e-05 loss: 0.0683 (0.0858) loss_seg: 0.0734 (0.0923) loss_lansim: 0.1038 (0.1054) loss_contra: 0.0001 (0.0084) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [13] [1680/5278] eta: 2:32:28 lr: 3.4730045218465184e-05 loss: 0.0688 (0.0858) loss_seg: 0.0747 (0.0923) loss_lansim: 0.1038 (0.1054) loss_contra: 0.0001 (0.0083) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [13] [1690/5278] eta: 2:32:02 lr: 3.4727825644406754e-05 loss: 0.0726 (0.0859) loss_seg: 0.0791 (0.0924) loss_lansim: 0.1049 (0.1055) loss_contra: 0.0002 (0.0083) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [13] [1700/5278] eta: 2:31:36 lr: 3.472560605458592e-05 loss: 0.0729 (0.0863) loss_seg: 0.0793 (0.0928) loss_lansim: 0.1075 (0.1055) loss_contra: 0.0002 (0.0083) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [13] [1710/5278] eta: 2:31:10 lr: 3.4723386449001474e-05 loss: 0.0749 (0.0863) loss_seg: 0.0801 (0.0929) loss_lansim: 0.1073 (0.1055) loss_contra: 0.0002 (0.0083) time: 2.5223 data: 0.0026 max mem: 31671 Epoch: [13] [1720/5278] eta: 2:30:45 lr: 3.472116682765216e-05 loss: 0.0770 (0.0863) loss_seg: 0.0804 (0.0929) loss_lansim: 0.1075 (0.1055) loss_contra: 0.0002 (0.0083) time: 2.5210 data: 0.0026 max mem: 31671 Epoch: [13] [1730/5278] eta: 2:30:19 lr: 3.4718947190536754e-05 loss: 0.0780 (0.0863) loss_seg: 0.0811 (0.0929) loss_lansim: 0.1075 (0.1055) loss_contra: 0.0002 (0.0083) time: 2.5144 data: 0.0026 max mem: 31671 Epoch: [13] [1740/5278] eta: 2:29:54 lr: 3.471672753765403e-05 loss: 0.0786 (0.0864) loss_seg: 0.0851 (0.0930) loss_lansim: 0.1075 (0.1055) loss_contra: 0.0002 (0.0082) time: 2.5167 data: 0.0026 max mem: 31671 Epoch: [13] [1750/5278] eta: 2:29:28 lr: 3.471450786900274e-05 loss: 0.0833 (0.0865) loss_seg: 0.0878 (0.0931) loss_lansim: 0.1073 (0.1056) loss_contra: 0.0002 (0.0082) time: 2.5131 data: 0.0026 max mem: 31671 Epoch: [13] [1760/5278] eta: 2:29:04 lr: 3.471228818458167e-05 loss: 0.0798 (0.0865) loss_seg: 0.0868 (0.0930) loss_lansim: 0.1065 (0.1056) loss_contra: 0.0002 (0.0083) time: 2.5270 data: 0.0026 max mem: 31671 Epoch: [13] [1770/5278] eta: 2:28:40 lr: 3.471006848438957e-05 loss: 0.0829 (0.0865) loss_seg: 0.0892 (0.0930) loss_lansim: 0.1073 (0.1056) loss_contra: 0.0002 (0.0082) time: 2.5375 data: 0.0026 max mem: 31671 Epoch: [13] [1780/5278] eta: 2:28:16 lr: 3.4707848768425225e-05 loss: 0.0821 (0.0864) loss_seg: 0.0878 (0.0930) loss_lansim: 0.1086 (0.1056) loss_contra: 0.0002 (0.0082) time: 2.5568 data: 0.0026 max mem: 31671 Epoch: [13] [1790/5278] eta: 2:27:50 lr: 3.470562903668739e-05 loss: 0.0788 (0.0863) loss_seg: 0.0868 (0.0929) loss_lansim: 0.1073 (0.1056) loss_contra: 0.0002 (0.0082) time: 2.5558 data: 0.0026 max mem: 31671 Epoch: [13] [1800/5278] eta: 2:27:24 lr: 3.4703409289174834e-05 loss: 0.0807 (0.0864) loss_seg: 0.0880 (0.0930) loss_lansim: 0.1052 (0.1056) loss_contra: 0.0002 (0.0081) time: 2.5550 data: 0.0026 max mem: 31671 Epoch: [13] [1810/5278] eta: 2:26:58 lr: 3.470118952588633e-05 loss: 0.0788 (0.0863) loss_seg: 0.0857 (0.0929) loss_lansim: 0.1052 (0.1056) loss_contra: 0.0001 (0.0081) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [13] [1820/5278] eta: 2:26:32 lr: 3.4698969746820645e-05 loss: 0.0788 (0.0863) loss_seg: 0.0872 (0.0929) loss_lansim: 0.1044 (0.1056) loss_contra: 0.0001 (0.0081) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [13] [1830/5278] eta: 2:26:07 lr: 3.4696749951976525e-05 loss: 0.0804 (0.0864) loss_seg: 0.0890 (0.0930) loss_lansim: 0.1035 (0.1055) loss_contra: 0.0001 (0.0081) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [13] [1840/5278] eta: 2:25:40 lr: 3.469453014135276e-05 loss: 0.0788 (0.0866) loss_seg: 0.0872 (0.0932) loss_lansim: 0.1035 (0.1056) loss_contra: 0.0001 (0.0081) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [13] [1850/5278] eta: 2:25:15 lr: 3.469231031494811e-05 loss: 0.0773 (0.0866) loss_seg: 0.0855 (0.0932) loss_lansim: 0.1042 (0.1056) loss_contra: 0.0001 (0.0080) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [13] [1860/5278] eta: 2:24:50 lr: 3.469009047276134e-05 loss: 0.0779 (0.0866) loss_seg: 0.0862 (0.0932) loss_lansim: 0.1035 (0.1056) loss_contra: 0.0001 (0.0080) time: 2.5452 data: 0.0025 max mem: 31671 Epoch: [13] [1870/5278] eta: 2:24:24 lr: 3.4687870614791206e-05 loss: 0.0775 (0.0866) loss_seg: 0.0857 (0.0932) loss_lansim: 0.1029 (0.1055) loss_contra: 0.0001 (0.0080) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [13] [1880/5278] eta: 2:23:58 lr: 3.4685650741036487e-05 loss: 0.0775 (0.0865) loss_seg: 0.0857 (0.0932) loss_lansim: 0.1025 (0.1055) loss_contra: 0.0001 (0.0079) time: 2.5203 data: 0.0024 max mem: 31671 Epoch: [13] [1890/5278] eta: 2:23:32 lr: 3.4683430851495946e-05 loss: 0.0779 (0.0865) loss_seg: 0.0862 (0.0931) loss_lansim: 0.1026 (0.1055) loss_contra: 0.0001 (0.0079) time: 2.5236 data: 0.0024 max mem: 31671 Epoch: [13] [1900/5278] eta: 2:23:06 lr: 3.468121094616834e-05 loss: 0.0745 (0.0864) loss_seg: 0.0823 (0.0930) loss_lansim: 0.1024 (0.1054) loss_contra: 0.0001 (0.0079) time: 2.5218 data: 0.0024 max mem: 31671 Epoch: [13] [1910/5278] eta: 2:22:41 lr: 3.4678991025052436e-05 loss: 0.0743 (0.0862) loss_seg: 0.0796 (0.0928) loss_lansim: 0.1027 (0.1054) loss_contra: 0.0002 (0.0079) time: 2.5276 data: 0.0024 max mem: 31671 Epoch: [13] [1920/5278] eta: 2:22:16 lr: 3.467677108814701e-05 loss: 0.0744 (0.0863) loss_seg: 0.0788 (0.0929) loss_lansim: 0.1032 (0.1054) loss_contra: 0.0001 (0.0079) time: 2.5314 data: 0.0024 max mem: 31671 Epoch: [13] [1930/5278] eta: 2:21:49 lr: 3.467455113545081e-05 loss: 0.0657 (0.0862) loss_seg: 0.0697 (0.0928) loss_lansim: 0.1032 (0.1054) loss_contra: 0.0001 (0.0078) time: 2.5240 data: 0.0024 max mem: 31671 Epoch: [13] [1940/5278] eta: 2:21:22 lr: 3.4672331166962616e-05 loss: 0.0657 (0.0861) loss_seg: 0.0697 (0.0927) loss_lansim: 0.1027 (0.1054) loss_contra: 0.0001 (0.0078) time: 2.5220 data: 0.0024 max mem: 31671 Epoch: [13] [1950/5278] eta: 2:20:55 lr: 3.4670111182681183e-05 loss: 0.0657 (0.0861) loss_seg: 0.0697 (0.0927) loss_lansim: 0.1022 (0.1054) loss_contra: 0.0001 (0.0078) time: 2.5107 data: 0.0024 max mem: 31671 Epoch: [13] [1960/5278] eta: 2:20:29 lr: 3.466789118260527e-05 loss: 0.0601 (0.0860) loss_seg: 0.0657 (0.0926) loss_lansim: 0.1018 (0.1053) loss_contra: 0.0001 (0.0078) time: 2.5064 data: 0.0024 max mem: 31671 Epoch: [13] [1970/5278] eta: 2:20:04 lr: 3.466567116673366e-05 loss: 0.0597 (0.0860) loss_seg: 0.0651 (0.0926) loss_lansim: 0.1020 (0.1053) loss_contra: 0.0001 (0.0077) time: 2.5057 data: 0.0024 max mem: 31671 Epoch: [13] [1980/5278] eta: 2:19:38 lr: 3.466345113506509e-05 loss: 0.0601 (0.0862) loss_seg: 0.0657 (0.0928) loss_lansim: 0.1031 (0.1053) loss_contra: 0.0001 (0.0077) time: 2.5088 data: 0.0024 max mem: 31671 Epoch: [13] [1990/5278] eta: 2:19:13 lr: 3.466123108759835e-05 loss: 0.0641 (0.0863) loss_seg: 0.0664 (0.0929) loss_lansim: 0.1032 (0.1053) loss_contra: 0.0001 (0.0077) time: 2.5095 data: 0.0024 max mem: 31671 Epoch: [13] [2000/5278] eta: 2:18:48 lr: 3.465901102433219e-05 loss: 0.0657 (0.0863) loss_seg: 0.0686 (0.0929) loss_lansim: 0.1042 (0.1054) loss_contra: 0.0001 (0.0077) time: 2.5137 data: 0.0024 max mem: 31671 Epoch: [13] [2010/5278] eta: 2:18:23 lr: 3.4656790945265367e-05 loss: 0.0700 (0.0863) loss_seg: 0.0730 (0.0929) loss_lansim: 0.1042 (0.1054) loss_contra: 0.0001 (0.0077) time: 2.5187 data: 0.0024 max mem: 31671 Epoch: [13] [2020/5278] eta: 2:17:57 lr: 3.4654570850396654e-05 loss: 0.0721 (0.0865) loss_seg: 0.0753 (0.0931) loss_lansim: 0.1033 (0.1054) loss_contra: 0.0002 (0.0079) time: 2.5129 data: 0.0024 max mem: 31671 Epoch: [13] [2030/5278] eta: 2:17:31 lr: 3.465235073972481e-05 loss: 0.0760 (0.0865) loss_seg: 0.0796 (0.0931) loss_lansim: 0.1033 (0.1054) loss_contra: 0.0001 (0.0079) time: 2.5188 data: 0.0024 max mem: 31671 Epoch: [13] [2040/5278] eta: 2:17:05 lr: 3.46501306132486e-05 loss: 0.0730 (0.0865) loss_seg: 0.0793 (0.0932) loss_lansim: 0.1031 (0.1054) loss_contra: 0.0001 (0.0079) time: 2.5212 data: 0.0024 max mem: 31671 Epoch: [13] [2050/5278] eta: 2:16:38 lr: 3.464791047096678e-05 loss: 0.0775 (0.0865) loss_seg: 0.0838 (0.0932) loss_lansim: 0.1042 (0.1054) loss_contra: 0.0002 (0.0078) time: 2.5244 data: 0.0024 max mem: 31671 Epoch: [13] [2060/5278] eta: 2:16:11 lr: 3.464569031287812e-05 loss: 0.0777 (0.0864) loss_seg: 0.0856 (0.0931) loss_lansim: 0.1042 (0.1054) loss_contra: 0.0002 (0.0078) time: 2.5132 data: 0.0024 max mem: 31671 Epoch: [13] [2070/5278] eta: 2:15:44 lr: 3.464347013898138e-05 loss: 0.0814 (0.0866) loss_seg: 0.0871 (0.0932) loss_lansim: 0.1042 (0.1054) loss_contra: 0.0002 (0.0078) time: 2.5045 data: 0.0024 max mem: 31671 Epoch: [13] [2080/5278] eta: 2:15:19 lr: 3.4641249949275316e-05 loss: 0.0814 (0.0866) loss_seg: 0.0889 (0.0932) loss_lansim: 0.1037 (0.1054) loss_contra: 0.0002 (0.0077) time: 2.5067 data: 0.0024 max mem: 31671 Epoch: [13] [2090/5278] eta: 2:14:52 lr: 3.46390297437587e-05 loss: 0.0809 (0.0869) loss_seg: 0.0871 (0.0936) loss_lansim: 0.1041 (0.1054) loss_contra: 0.0002 (0.0078) time: 2.4946 data: 0.0024 max mem: 31671 Epoch: [13] [2100/5278] eta: 2:14:24 lr: 3.463680952243029e-05 loss: 0.0803 (0.0869) loss_seg: 0.0864 (0.0935) loss_lansim: 0.1041 (0.1054) loss_contra: 0.0002 (0.0078) time: 2.4808 data: 0.0024 max mem: 31671 Epoch: [13] [2110/5278] eta: 2:13:58 lr: 3.4634589285288834e-05 loss: 0.0803 (0.0869) loss_seg: 0.0864 (0.0935) loss_lansim: 0.1037 (0.1054) loss_contra: 0.0002 (0.0078) time: 2.4712 data: 0.0024 max mem: 31671 Epoch: [13] [2120/5278] eta: 2:13:32 lr: 3.4632369032333103e-05 loss: 0.0775 (0.0869) loss_seg: 0.0836 (0.0935) loss_lansim: 0.1026 (0.1054) loss_contra: 0.0002 (0.0078) time: 2.4687 data: 0.0024 max mem: 31671 Epoch: [13] [2130/5278] eta: 2:13:07 lr: 3.463014876356187e-05 loss: 0.0775 (0.0870) loss_seg: 0.0838 (0.0936) loss_lansim: 0.1051 (0.1054) loss_contra: 0.0002 (0.0077) time: 2.4749 data: 0.0024 max mem: 31671 Epoch: [13] [2140/5278] eta: 2:12:41 lr: 3.462792847897387e-05 loss: 0.0780 (0.0869) loss_seg: 0.0838 (0.0936) loss_lansim: 0.1051 (0.1054) loss_contra: 0.0002 (0.0077) time: 2.4767 data: 0.0024 max mem: 31671 Epoch: [13] [2150/5278] eta: 2:12:15 lr: 3.462570817856789e-05 loss: 0.0793 (0.0870) loss_seg: 0.0825 (0.0937) loss_lansim: 0.1026 (0.1054) loss_contra: 0.0003 (0.0077) time: 2.4777 data: 0.0024 max mem: 31671 Epoch: [13] [2160/5278] eta: 2:11:50 lr: 3.462348786234267e-05 loss: 0.0802 (0.0870) loss_seg: 0.0851 (0.0937) loss_lansim: 0.1031 (0.1054) loss_contra: 0.0003 (0.0077) time: 2.4862 data: 0.0024 max mem: 31671 Epoch: [13] [2170/5278] eta: 2:11:23 lr: 3.462126753029699e-05 loss: 0.0796 (0.0871) loss_seg: 0.0851 (0.0937) loss_lansim: 0.1041 (0.1054) loss_contra: 0.0004 (0.0078) time: 2.4855 data: 0.0024 max mem: 31671 Epoch: [13] [2180/5278] eta: 2:10:58 lr: 3.461904718242959e-05 loss: 0.0772 (0.0872) loss_seg: 0.0807 (0.0938) loss_lansim: 0.1036 (0.1054) loss_contra: 0.0004 (0.0078) time: 2.4896 data: 0.0024 max mem: 31671 Epoch: [13] [2190/5278] eta: 2:10:34 lr: 3.4616826818739236e-05 loss: 0.0772 (0.0872) loss_seg: 0.0807 (0.0939) loss_lansim: 0.1031 (0.1054) loss_contra: 0.0005 (0.0078) time: 2.5096 data: 0.0024 max mem: 31671 Epoch: [13] [2200/5278] eta: 2:10:09 lr: 3.461460643922468e-05 loss: 0.0787 (0.0872) loss_seg: 0.0865 (0.0939) loss_lansim: 0.1031 (0.1054) loss_contra: 0.0007 (0.0079) time: 2.5239 data: 0.0024 max mem: 31671 Epoch: [13] [2210/5278] eta: 2:09:43 lr: 3.461238604388471e-05 loss: 0.0784 (0.0873) loss_seg: 0.0851 (0.0940) loss_lansim: 0.1036 (0.1054) loss_contra: 0.0007 (0.0078) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [13] [2220/5278] eta: 2:09:19 lr: 3.461016563271805e-05 loss: 0.0787 (0.0873) loss_seg: 0.0865 (0.0940) loss_lansim: 0.1036 (0.1053) loss_contra: 0.0008 (0.0078) time: 2.5412 data: 0.0025 max mem: 31671 Epoch: [13] [2230/5278] eta: 2:08:54 lr: 3.460794520572349e-05 loss: 0.0787 (0.0874) loss_seg: 0.0865 (0.0942) loss_lansim: 0.1012 (0.1053) loss_contra: 0.0007 (0.0079) time: 2.5363 data: 0.0025 max mem: 31671 Epoch: [13] [2240/5278] eta: 2:08:29 lr: 3.460572476289976e-05 loss: 0.0781 (0.0874) loss_seg: 0.0841 (0.0942) loss_lansim: 0.1006 (0.1053) loss_contra: 0.0007 (0.0078) time: 2.5489 data: 0.0025 max mem: 31671 Epoch: [13] [2250/5278] eta: 2:08:05 lr: 3.4603504304245635e-05 loss: 0.0761 (0.0873) loss_seg: 0.0829 (0.0941) loss_lansim: 0.1037 (0.1054) loss_contra: 0.0005 (0.0078) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [13] [2260/5278] eta: 2:07:40 lr: 3.4601283829759876e-05 loss: 0.0767 (0.0874) loss_seg: 0.0831 (0.0942) loss_lansim: 0.1035 (0.1054) loss_contra: 0.0006 (0.0079) time: 2.5661 data: 0.0025 max mem: 31671 Epoch: [13] [2270/5278] eta: 2:07:15 lr: 3.4599063339441234e-05 loss: 0.0784 (0.0875) loss_seg: 0.0865 (0.0943) loss_lansim: 0.1009 (0.1053) loss_contra: 0.0004 (0.0078) time: 2.5782 data: 0.0025 max mem: 31671 Epoch: [13] [2280/5278] eta: 2:06:50 lr: 3.4596842833288464e-05 loss: 0.0784 (0.0874) loss_seg: 0.0865 (0.0942) loss_lansim: 0.1015 (0.1053) loss_contra: 0.0005 (0.0078) time: 2.5765 data: 0.0025 max mem: 31671 Epoch: [13] [2290/5278] eta: 2:06:22 lr: 3.459462231130034e-05 loss: 0.0798 (0.0875) loss_seg: 0.0865 (0.0942) loss_lansim: 0.1009 (0.1053) loss_contra: 0.0004 (0.0078) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [13] [2300/5278] eta: 2:05:57 lr: 3.45924017734756e-05 loss: 0.0798 (0.0875) loss_seg: 0.0865 (0.0942) loss_lansim: 0.1023 (0.1053) loss_contra: 0.0003 (0.0078) time: 2.5489 data: 0.0024 max mem: 31671 Epoch: [13] [2310/5278] eta: 2:05:32 lr: 3.459018121981301e-05 loss: 0.0798 (0.0875) loss_seg: 0.0865 (0.0942) loss_lansim: 0.1023 (0.1053) loss_contra: 0.0003 (0.0078) time: 2.5582 data: 0.0024 max mem: 31671 Epoch: [13] [2320/5278] eta: 2:05:07 lr: 3.458796065031133e-05 loss: 0.0750 (0.0874) loss_seg: 0.0829 (0.0942) loss_lansim: 0.1015 (0.1053) loss_contra: 0.0002 (0.0078) time: 2.5538 data: 0.0024 max mem: 31671 Epoch: [13] [2330/5278] eta: 2:04:42 lr: 3.458574006496931e-05 loss: 0.0722 (0.0874) loss_seg: 0.0795 (0.0941) loss_lansim: 0.1023 (0.1053) loss_contra: 0.0002 (0.0078) time: 2.5523 data: 0.0024 max mem: 31671 Epoch: [13] [2340/5278] eta: 2:04:17 lr: 3.4583519463785725e-05 loss: 0.0740 (0.0874) loss_seg: 0.0800 (0.0942) loss_lansim: 0.1009 (0.1052) loss_contra: 0.0002 (0.0077) time: 2.5476 data: 0.0024 max mem: 31671 Epoch: [13] [2350/5278] eta: 2:03:52 lr: 3.4581298846759296e-05 loss: 0.0756 (0.0875) loss_seg: 0.0831 (0.0942) loss_lansim: 0.0999 (0.1052) loss_contra: 0.0002 (0.0077) time: 2.5409 data: 0.0024 max mem: 31671 Epoch: [13] [2360/5278] eta: 2:03:26 lr: 3.457907821388882e-05 loss: 0.0770 (0.0875) loss_seg: 0.0831 (0.0942) loss_lansim: 0.0993 (0.1052) loss_contra: 0.0002 (0.0079) time: 2.5363 data: 0.0024 max mem: 31671 Epoch: [13] [2370/5278] eta: 2:03:01 lr: 3.457685756517303e-05 loss: 0.0733 (0.0875) loss_seg: 0.0801 (0.0942) loss_lansim: 0.0994 (0.1052) loss_contra: 0.0002 (0.0080) time: 2.5409 data: 0.0024 max mem: 31671 Epoch: [13] [2380/5278] eta: 2:02:36 lr: 3.4574636900610686e-05 loss: 0.0733 (0.0875) loss_seg: 0.0801 (0.0942) loss_lansim: 0.0991 (0.1051) loss_contra: 0.0002 (0.0080) time: 2.5397 data: 0.0024 max mem: 31671 Epoch: [13] [2390/5278] eta: 2:02:10 lr: 3.457241622020055e-05 loss: 0.0718 (0.0874) loss_seg: 0.0787 (0.0941) loss_lansim: 0.0991 (0.1051) loss_contra: 0.0001 (0.0079) time: 2.5544 data: 0.0024 max mem: 31671 Epoch: [13] [2400/5278] eta: 2:01:45 lr: 3.457019552394137e-05 loss: 0.0710 (0.0874) loss_seg: 0.0780 (0.0941) loss_lansim: 0.0979 (0.1050) loss_contra: 0.0002 (0.0079) time: 2.5572 data: 0.0024 max mem: 31671 Epoch: [13] [2410/5278] eta: 2:01:21 lr: 3.4567974811831905e-05 loss: 0.0711 (0.0873) loss_seg: 0.0782 (0.0941) loss_lansim: 0.0980 (0.1050) loss_contra: 0.0001 (0.0079) time: 2.5552 data: 0.0024 max mem: 31671 Epoch: [13] [2420/5278] eta: 2:00:55 lr: 3.456575408387091e-05 loss: 0.0724 (0.0873) loss_seg: 0.0795 (0.0941) loss_lansim: 0.0983 (0.1050) loss_contra: 0.0002 (0.0079) time: 2.5517 data: 0.0024 max mem: 31671 Epoch: [13] [2430/5278] eta: 2:00:30 lr: 3.456353334005714e-05 loss: 0.0724 (0.0873) loss_seg: 0.0794 (0.0940) loss_lansim: 0.0979 (0.1050) loss_contra: 0.0001 (0.0079) time: 2.5564 data: 0.0024 max mem: 31671 Epoch: [13] [2440/5278] eta: 2:00:04 lr: 3.456131258038935e-05 loss: 0.0740 (0.0874) loss_seg: 0.0810 (0.0941) loss_lansim: 0.0970 (0.1049) loss_contra: 0.0002 (0.0079) time: 2.5462 data: 0.0024 max mem: 31671 Epoch: [13] [2450/5278] eta: 1:59:38 lr: 3.455909180486629e-05 loss: 0.0733 (0.0873) loss_seg: 0.0801 (0.0940) loss_lansim: 0.0967 (0.1049) loss_contra: 0.0001 (0.0078) time: 2.5404 data: 0.0024 max mem: 31671 Epoch: [13] [2460/5278] eta: 1:59:12 lr: 3.455687101348674e-05 loss: 0.0711 (0.0874) loss_seg: 0.0782 (0.0941) loss_lansim: 0.0972 (0.1049) loss_contra: 0.0001 (0.0078) time: 2.5412 data: 0.0024 max mem: 31671 Epoch: [13] [2470/5278] eta: 1:58:47 lr: 3.4554650206249425e-05 loss: 0.0716 (0.0875) loss_seg: 0.0777 (0.0942) loss_lansim: 0.0989 (0.1049) loss_contra: 0.0002 (0.0078) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [13] [2480/5278] eta: 1:58:21 lr: 3.45524293831531e-05 loss: 0.0718 (0.0875) loss_seg: 0.0777 (0.0942) loss_lansim: 0.1004 (0.1049) loss_contra: 0.0001 (0.0078) time: 2.5303 data: 0.0024 max mem: 31671 Epoch: [13] [2490/5278] eta: 1:57:55 lr: 3.455020854419653e-05 loss: 0.0724 (0.0874) loss_seg: 0.0782 (0.0942) loss_lansim: 0.1004 (0.1049) loss_contra: 0.0001 (0.0078) time: 2.5310 data: 0.0024 max mem: 31671 Epoch: [13] [2500/5278] eta: 1:57:29 lr: 3.454798768937848e-05 loss: 0.0740 (0.0874) loss_seg: 0.0773 (0.0942) loss_lansim: 0.1019 (0.1049) loss_contra: 0.0001 (0.0078) time: 2.5172 data: 0.0024 max mem: 31671 Epoch: [13] [2510/5278] eta: 1:57:03 lr: 3.454576681869768e-05 loss: 0.0756 (0.0875) loss_seg: 0.0788 (0.0942) loss_lansim: 0.1019 (0.1049) loss_contra: 0.0001 (0.0078) time: 2.5079 data: 0.0024 max mem: 31671 Epoch: [13] [2520/5278] eta: 1:56:39 lr: 3.45435459321529e-05 loss: 0.0744 (0.0874) loss_seg: 0.0783 (0.0942) loss_lansim: 0.1025 (0.1049) loss_contra: 0.0001 (0.0077) time: 2.5151 data: 0.0024 max mem: 31671 Epoch: [13] [2530/5278] eta: 1:56:15 lr: 3.454132502974289e-05 loss: 0.0762 (0.0874) loss_seg: 0.0816 (0.0941) loss_lansim: 0.1019 (0.1048) loss_contra: 0.0001 (0.0077) time: 2.5243 data: 0.0024 max mem: 31671 Epoch: [13] [2540/5278] eta: 1:55:48 lr: 3.453910411146639e-05 loss: 0.0744 (0.0874) loss_seg: 0.0783 (0.0941) loss_lansim: 0.1026 (0.1048) loss_contra: 0.0001 (0.0077) time: 2.5225 data: 0.0024 max mem: 31671 Epoch: [13] [2550/5278] eta: 1:55:23 lr: 3.4536883177322185e-05 loss: 0.0755 (0.0873) loss_seg: 0.0773 (0.0941) loss_lansim: 0.1024 (0.1048) loss_contra: 0.0001 (0.0077) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [13] [2560/5278] eta: 1:54:57 lr: 3.4534662227308985e-05 loss: 0.0762 (0.0874) loss_seg: 0.0788 (0.0941) loss_lansim: 0.1017 (0.1048) loss_contra: 0.0001 (0.0076) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [13] [2570/5278] eta: 1:54:31 lr: 3.453244126142558e-05 loss: 0.0771 (0.0875) loss_seg: 0.0843 (0.0943) loss_lansim: 0.1019 (0.1048) loss_contra: 0.0001 (0.0076) time: 2.5189 data: 0.0024 max mem: 31671 Epoch: [13] [2580/5278] eta: 1:54:06 lr: 3.45302202796707e-05 loss: 0.0762 (0.0876) loss_seg: 0.0791 (0.0943) loss_lansim: 0.1011 (0.1047) loss_contra: 0.0001 (0.0076) time: 2.5238 data: 0.0024 max mem: 31671 Epoch: [13] [2590/5278] eta: 1:53:41 lr: 3.45279992820431e-05 loss: 0.0820 (0.0877) loss_seg: 0.0873 (0.0944) loss_lansim: 0.1003 (0.1047) loss_contra: 0.0001 (0.0076) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [13] [2600/5278] eta: 1:53:15 lr: 3.452577826854155e-05 loss: 0.0820 (0.0876) loss_seg: 0.0870 (0.0943) loss_lansim: 0.0999 (0.1047) loss_contra: 0.0001 (0.0076) time: 2.5384 data: 0.0024 max mem: 31671 Epoch: [13] [2610/5278] eta: 1:52:50 lr: 3.4523557239164786e-05 loss: 0.0811 (0.0876) loss_seg: 0.0870 (0.0944) loss_lansim: 0.0988 (0.1046) loss_contra: 0.0001 (0.0075) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [13] [2620/5278] eta: 1:52:24 lr: 3.4521336193911554e-05 loss: 0.0812 (0.0876) loss_seg: 0.0843 (0.0943) loss_lansim: 0.0979 (0.1046) loss_contra: 0.0001 (0.0075) time: 2.5330 data: 0.0024 max mem: 31671 Epoch: [13] [2630/5278] eta: 1:51:59 lr: 3.451911513278062e-05 loss: 0.0820 (0.0877) loss_seg: 0.0844 (0.0944) loss_lansim: 0.0979 (0.1046) loss_contra: 0.0001 (0.0075) time: 2.5156 data: 0.0024 max mem: 31671 Epoch: [13] [2640/5278] eta: 1:51:33 lr: 3.451689405577072e-05 loss: 0.0813 (0.0877) loss_seg: 0.0844 (0.0944) loss_lansim: 0.0968 (0.1046) loss_contra: 0.0001 (0.0075) time: 2.5208 data: 0.0024 max mem: 31671 Epoch: [13] [2650/5278] eta: 1:51:09 lr: 3.451467296288063e-05 loss: 0.0820 (0.0877) loss_seg: 0.0860 (0.0944) loss_lansim: 0.0965 (0.1045) loss_contra: 0.0001 (0.0075) time: 2.5317 data: 0.0024 max mem: 31671 Epoch: [13] [2660/5278] eta: 1:50:44 lr: 3.451245185410907e-05 loss: 0.0820 (0.0878) loss_seg: 0.0880 (0.0945) loss_lansim: 0.0968 (0.1045) loss_contra: 0.0001 (0.0075) time: 2.5385 data: 0.0024 max mem: 31671 Epoch: [13] [2670/5278] eta: 1:50:18 lr: 3.4510230729454816e-05 loss: 0.0812 (0.0877) loss_seg: 0.0874 (0.0945) loss_lansim: 0.0962 (0.1045) loss_contra: 0.0001 (0.0075) time: 2.5470 data: 0.0024 max mem: 31671 Epoch: [13] [2680/5278] eta: 1:49:53 lr: 3.450800958891661e-05 loss: 0.0813 (0.0877) loss_seg: 0.0880 (0.0944) loss_lansim: 0.0965 (0.1045) loss_contra: 0.0001 (0.0074) time: 2.5429 data: 0.0024 max mem: 31671 Epoch: [13] [2690/5278] eta: 1:49:28 lr: 3.4505788432493205e-05 loss: 0.0812 (0.0879) loss_seg: 0.0844 (0.0947) loss_lansim: 0.0968 (0.1044) loss_contra: 0.0001 (0.0074) time: 2.5470 data: 0.0024 max mem: 31671 Epoch: [13] [2700/5278] eta: 1:49:04 lr: 3.4503567260183337e-05 loss: 0.0811 (0.0878) loss_seg: 0.0832 (0.0946) loss_lansim: 0.0969 (0.1044) loss_contra: 0.0001 (0.0074) time: 2.5598 data: 0.0024 max mem: 31671 Epoch: [13] [2710/5278] eta: 1:48:39 lr: 3.4501346071985766e-05 loss: 0.0800 (0.0878) loss_seg: 0.0825 (0.0945) loss_lansim: 0.0970 (0.1044) loss_contra: 0.0001 (0.0074) time: 2.5647 data: 0.0024 max mem: 31671 Epoch: [13] [2720/5278] eta: 1:48:13 lr: 3.449912486789925e-05 loss: 0.0811 (0.0878) loss_seg: 0.0844 (0.0946) loss_lansim: 0.0977 (0.1044) loss_contra: 0.0001 (0.0074) time: 2.5677 data: 0.0024 max mem: 31671 Epoch: [13] [2730/5278] eta: 1:47:47 lr: 3.4496903647922525e-05 loss: 0.0793 (0.0878) loss_seg: 0.0825 (0.0946) loss_lansim: 0.0980 (0.1044) loss_contra: 0.0000 (0.0074) time: 2.5633 data: 0.0024 max mem: 31671 Epoch: [13] [2740/5278] eta: 1:47:22 lr: 3.449468241205435e-05 loss: 0.0723 (0.0878) loss_seg: 0.0793 (0.0946) loss_lansim: 0.0984 (0.1043) loss_contra: 0.0001 (0.0074) time: 2.5643 data: 0.0025 max mem: 31671 Epoch: [13] [2750/5278] eta: 1:46:56 lr: 3.4492461160293466e-05 loss: 0.0777 (0.0880) loss_seg: 0.0824 (0.0947) loss_lansim: 0.0995 (0.1043) loss_contra: 0.0000 (0.0073) time: 2.5547 data: 0.0025 max mem: 31671 Epoch: [13] [2760/5278] eta: 1:46:30 lr: 3.4490239892638635e-05 loss: 0.0720 (0.0881) loss_seg: 0.0755 (0.0948) loss_lansim: 0.1004 (0.1043) loss_contra: 0.0000 (0.0074) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [13] [2770/5278] eta: 1:46:05 lr: 3.4488018609088594e-05 loss: 0.0720 (0.0881) loss_seg: 0.0755 (0.0948) loss_lansim: 0.1012 (0.1043) loss_contra: 0.0001 (0.0073) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [13] [2780/5278] eta: 1:45:40 lr: 3.448579730964209e-05 loss: 0.0720 (0.0881) loss_seg: 0.0752 (0.0948) loss_lansim: 0.1016 (0.1044) loss_contra: 0.0001 (0.0073) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [13] [2790/5278] eta: 1:45:15 lr: 3.448357599429788e-05 loss: 0.0682 (0.0880) loss_seg: 0.0730 (0.0948) loss_lansim: 0.1004 (0.1043) loss_contra: 0.0001 (0.0073) time: 2.5473 data: 0.0024 max mem: 31671 Epoch: [13] [2800/5278] eta: 1:44:49 lr: 3.448135466305471e-05 loss: 0.0710 (0.0880) loss_seg: 0.0742 (0.0947) loss_lansim: 0.1003 (0.1043) loss_contra: 0.0001 (0.0073) time: 2.5357 data: 0.0024 max mem: 31671 Epoch: [13] [2810/5278] eta: 1:44:25 lr: 3.447913331591133e-05 loss: 0.0715 (0.0880) loss_seg: 0.0741 (0.0947) loss_lansim: 0.0995 (0.1043) loss_contra: 0.0001 (0.0073) time: 2.5346 data: 0.0024 max mem: 31671 Epoch: [13] [2820/5278] eta: 1:43:59 lr: 3.447691195286648e-05 loss: 0.0707 (0.0880) loss_seg: 0.0741 (0.0947) loss_lansim: 0.0986 (0.1043) loss_contra: 0.0001 (0.0073) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [13] [2830/5278] eta: 1:43:33 lr: 3.447469057391891e-05 loss: 0.0720 (0.0880) loss_seg: 0.0784 (0.0947) loss_lansim: 0.0986 (0.1043) loss_contra: 0.0001 (0.0075) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [13] [2840/5278] eta: 1:43:07 lr: 3.447246917906739e-05 loss: 0.0745 (0.0880) loss_seg: 0.0810 (0.0947) loss_lansim: 0.1003 (0.1042) loss_contra: 0.0001 (0.0074) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [13] [2850/5278] eta: 1:42:41 lr: 3.447024776831062e-05 loss: 0.0720 (0.0880) loss_seg: 0.0787 (0.0946) loss_lansim: 0.0986 (0.1042) loss_contra: 0.0001 (0.0074) time: 2.5229 data: 0.0025 max mem: 31671 Epoch: [13] [2860/5278] eta: 1:42:16 lr: 3.44680263416474e-05 loss: 0.0720 (0.0879) loss_seg: 0.0787 (0.0946) loss_lansim: 0.0972 (0.1042) loss_contra: 0.0001 (0.0074) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [13] [2870/5278] eta: 1:41:50 lr: 3.4465804899076436e-05 loss: 0.0715 (0.0880) loss_seg: 0.0784 (0.0947) loss_lansim: 0.0968 (0.1042) loss_contra: 0.0001 (0.0074) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [13] [2880/5278] eta: 1:41:25 lr: 3.44635834405965e-05 loss: 0.0715 (0.0880) loss_seg: 0.0784 (0.0947) loss_lansim: 0.0968 (0.1041) loss_contra: 0.0001 (0.0073) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [13] [2890/5278] eta: 1:40:59 lr: 3.446136196620634e-05 loss: 0.0745 (0.0879) loss_seg: 0.0810 (0.0946) loss_lansim: 0.0968 (0.1041) loss_contra: 0.0001 (0.0073) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [13] [2900/5278] eta: 1:40:34 lr: 3.4459140475904675e-05 loss: 0.0748 (0.0880) loss_seg: 0.0827 (0.0947) loss_lansim: 0.0978 (0.1041) loss_contra: 0.0001 (0.0073) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [13] [2910/5278] eta: 1:40:09 lr: 3.445691896969027e-05 loss: 0.0748 (0.0880) loss_seg: 0.0827 (0.0947) loss_lansim: 0.0975 (0.1041) loss_contra: 0.0001 (0.0073) time: 2.5215 data: 0.0025 max mem: 31671 Epoch: [13] [2920/5278] eta: 1:39:44 lr: 3.445469744756188e-05 loss: 0.0748 (0.0880) loss_seg: 0.0827 (0.0947) loss_lansim: 0.1001 (0.1041) loss_contra: 0.0001 (0.0073) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [13] [2930/5278] eta: 1:39:19 lr: 3.445247590951822e-05 loss: 0.0719 (0.0880) loss_seg: 0.0798 (0.0948) loss_lansim: 0.0993 (0.1041) loss_contra: 0.0001 (0.0072) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [13] [2940/5278] eta: 1:38:53 lr: 3.4450254355558084e-05 loss: 0.0719 (0.0880) loss_seg: 0.0798 (0.0948) loss_lansim: 0.0978 (0.1041) loss_contra: 0.0001 (0.0072) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [13] [2950/5278] eta: 1:38:28 lr: 3.4448032785680176e-05 loss: 0.0719 (0.0880) loss_seg: 0.0784 (0.0947) loss_lansim: 0.0995 (0.1041) loss_contra: 0.0001 (0.0073) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [13] [2960/5278] eta: 1:38:02 lr: 3.4445811199883246e-05 loss: 0.0719 (0.0879) loss_seg: 0.0784 (0.0947) loss_lansim: 0.1001 (0.1041) loss_contra: 0.0001 (0.0074) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [13] [2970/5278] eta: 1:37:38 lr: 3.444358959816607e-05 loss: 0.0719 (0.0880) loss_seg: 0.0784 (0.0947) loss_lansim: 0.1018 (0.1041) loss_contra: 0.0001 (0.0074) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [13] [2980/5278] eta: 1:37:12 lr: 3.444136798052735e-05 loss: 0.0729 (0.0880) loss_seg: 0.0798 (0.0947) loss_lansim: 0.1008 (0.1041) loss_contra: 0.0001 (0.0074) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [13] [2990/5278] eta: 1:36:47 lr: 3.4439146346965864e-05 loss: 0.0723 (0.0879) loss_seg: 0.0784 (0.0947) loss_lansim: 0.0993 (0.1040) loss_contra: 0.0002 (0.0075) time: 2.5585 data: 0.0025 max mem: 31671 Epoch: [13] [3000/5278] eta: 1:36:22 lr: 3.4436924697480344e-05 loss: 0.0710 (0.0878) loss_seg: 0.0784 (0.0946) loss_lansim: 0.0990 (0.1040) loss_contra: 0.0002 (0.0075) time: 2.5591 data: 0.0025 max mem: 31671 Epoch: [13] [3010/5278] eta: 1:35:56 lr: 3.443470303206953e-05 loss: 0.0710 (0.0878) loss_seg: 0.0784 (0.0946) loss_lansim: 0.0990 (0.1040) loss_contra: 0.0003 (0.0075) time: 2.5488 data: 0.0025 max mem: 31671 Epoch: [13] [3020/5278] eta: 1:35:31 lr: 3.443248135073217e-05 loss: 0.0723 (0.0878) loss_seg: 0.0784 (0.0945) loss_lansim: 0.0981 (0.1040) loss_contra: 0.0003 (0.0075) time: 2.5501 data: 0.0025 max mem: 31671 Epoch: [13] [3030/5278] eta: 1:35:05 lr: 3.4430259653467016e-05 loss: 0.0709 (0.0877) loss_seg: 0.0781 (0.0945) loss_lansim: 0.0978 (0.1040) loss_contra: 0.0003 (0.0075) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [13] [3040/5278] eta: 1:34:39 lr: 3.44280379402728e-05 loss: 0.0709 (0.0877) loss_seg: 0.0781 (0.0945) loss_lansim: 0.0981 (0.1040) loss_contra: 0.0003 (0.0074) time: 2.5408 data: 0.0024 max mem: 31671 Epoch: [13] [3050/5278] eta: 1:34:14 lr: 3.4425816211148274e-05 loss: 0.0706 (0.0877) loss_seg: 0.0781 (0.0944) loss_lansim: 0.0974 (0.1039) loss_contra: 0.0003 (0.0074) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [13] [3060/5278] eta: 1:33:48 lr: 3.4423594466092175e-05 loss: 0.0709 (0.0878) loss_seg: 0.0782 (0.0946) loss_lansim: 0.0974 (0.1039) loss_contra: 0.0003 (0.0074) time: 2.5413 data: 0.0024 max mem: 31671 Epoch: [13] [3070/5278] eta: 1:33:22 lr: 3.442137270510325e-05 loss: 0.0710 (0.0878) loss_seg: 0.0781 (0.0945) loss_lansim: 0.0969 (0.1039) loss_contra: 0.0003 (0.0075) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [13] [3080/5278] eta: 1:32:57 lr: 3.441915092818024e-05 loss: 0.0709 (0.0878) loss_seg: 0.0770 (0.0945) loss_lansim: 0.0963 (0.1039) loss_contra: 0.0003 (0.0076) time: 2.5125 data: 0.0025 max mem: 31671 Epoch: [13] [3090/5278] eta: 1:32:31 lr: 3.441692913532189e-05 loss: 0.0690 (0.0877) loss_seg: 0.0708 (0.0944) loss_lansim: 0.0981 (0.1039) loss_contra: 0.0002 (0.0076) time: 2.5098 data: 0.0025 max mem: 31671 Epoch: [13] [3100/5278] eta: 1:32:06 lr: 3.441470732652695e-05 loss: 0.0690 (0.0877) loss_seg: 0.0740 (0.0945) loss_lansim: 0.0994 (0.1039) loss_contra: 0.0001 (0.0075) time: 2.5107 data: 0.0025 max mem: 31671 Epoch: [13] [3110/5278] eta: 1:31:41 lr: 3.4412485501794144e-05 loss: 0.0698 (0.0877) loss_seg: 0.0748 (0.0944) loss_lansim: 0.1001 (0.1039) loss_contra: 0.0001 (0.0075) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [13] [3120/5278] eta: 1:31:16 lr: 3.441026366112223e-05 loss: 0.0698 (0.0877) loss_seg: 0.0748 (0.0945) loss_lansim: 0.1011 (0.1039) loss_contra: 0.0001 (0.0075) time: 2.5258 data: 0.0026 max mem: 31671 Epoch: [13] [3130/5278] eta: 1:30:50 lr: 3.440804180450995e-05 loss: 0.0698 (0.0877) loss_seg: 0.0758 (0.0945) loss_lansim: 0.1020 (0.1039) loss_contra: 0.0001 (0.0075) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [13] [3140/5278] eta: 1:30:25 lr: 3.4405819931956024e-05 loss: 0.0689 (0.0877) loss_seg: 0.0740 (0.0945) loss_lansim: 0.1022 (0.1039) loss_contra: 0.0001 (0.0075) time: 2.5300 data: 0.0026 max mem: 31671 Epoch: [13] [3150/5278] eta: 1:29:59 lr: 3.4403598043459226e-05 loss: 0.0719 (0.0878) loss_seg: 0.0762 (0.0945) loss_lansim: 0.1020 (0.1039) loss_contra: 0.0001 (0.0075) time: 2.5245 data: 0.0026 max mem: 31671 Epoch: [13] [3160/5278] eta: 1:29:34 lr: 3.440137613901827e-05 loss: 0.0698 (0.0877) loss_seg: 0.0748 (0.0945) loss_lansim: 0.1042 (0.1040) loss_contra: 0.0001 (0.0075) time: 2.5248 data: 0.0026 max mem: 31671 Epoch: [13] [3170/5278] eta: 1:29:08 lr: 3.439915421863191e-05 loss: 0.0686 (0.0878) loss_seg: 0.0748 (0.0945) loss_lansim: 0.1042 (0.1040) loss_contra: 0.0001 (0.0075) time: 2.5356 data: 0.0026 max mem: 31671 Epoch: [13] [3180/5278] eta: 1:28:43 lr: 3.43969322822989e-05 loss: 0.0677 (0.0877) loss_seg: 0.0737 (0.0945) loss_lansim: 0.1042 (0.1040) loss_contra: 0.0001 (0.0075) time: 2.5354 data: 0.0026 max mem: 31671 Epoch: [13] [3190/5278] eta: 1:28:17 lr: 3.439471033001796e-05 loss: 0.0731 (0.0878) loss_seg: 0.0762 (0.0946) loss_lansim: 0.1046 (0.1040) loss_contra: 0.0002 (0.0076) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [13] [3200/5278] eta: 1:27:52 lr: 3.4392488361787837e-05 loss: 0.0757 (0.0878) loss_seg: 0.0834 (0.0945) loss_lansim: 0.1063 (0.1040) loss_contra: 0.0002 (0.0076) time: 2.5311 data: 0.0026 max mem: 31671 Epoch: [13] [3210/5278] eta: 1:27:27 lr: 3.4390266377607276e-05 loss: 0.0771 (0.0878) loss_seg: 0.0852 (0.0946) loss_lansim: 0.1063 (0.1040) loss_contra: 0.0002 (0.0076) time: 2.5277 data: 0.0026 max mem: 31671 Epoch: [13] [3220/5278] eta: 1:27:01 lr: 3.4388044377475006e-05 loss: 0.0757 (0.0878) loss_seg: 0.0837 (0.0946) loss_lansim: 0.1068 (0.1040) loss_contra: 0.0002 (0.0077) time: 2.5190 data: 0.0026 max mem: 31671 Epoch: [13] [3230/5278] eta: 1:26:36 lr: 3.4385822361389784e-05 loss: 0.0851 (0.0879) loss_seg: 0.0944 (0.0946) loss_lansim: 0.1066 (0.1040) loss_contra: 0.0003 (0.0077) time: 2.5217 data: 0.0026 max mem: 31671 Epoch: [13] [3240/5278] eta: 1:26:10 lr: 3.438360032935034e-05 loss: 0.0800 (0.0878) loss_seg: 0.0887 (0.0946) loss_lansim: 0.1066 (0.1040) loss_contra: 0.0002 (0.0077) time: 2.5118 data: 0.0026 max mem: 31671 Epoch: [13] [3250/5278] eta: 1:25:44 lr: 3.4381378281355406e-05 loss: 0.0781 (0.0878) loss_seg: 0.0837 (0.0945) loss_lansim: 0.1058 (0.1040) loss_contra: 0.0002 (0.0077) time: 2.5223 data: 0.0026 max mem: 31671 Epoch: [13] [3260/5278] eta: 1:25:19 lr: 3.437915621740375e-05 loss: 0.0784 (0.0877) loss_seg: 0.0837 (0.0945) loss_lansim: 0.1036 (0.1040) loss_contra: 0.0001 (0.0077) time: 2.5245 data: 0.0026 max mem: 31671 Epoch: [13] [3270/5278] eta: 1:24:54 lr: 3.4376934137494073e-05 loss: 0.0800 (0.0878) loss_seg: 0.0887 (0.0946) loss_lansim: 0.1014 (0.1039) loss_contra: 0.0002 (0.0077) time: 2.5241 data: 0.0026 max mem: 31671 Epoch: [13] [3280/5278] eta: 1:24:28 lr: 3.437471204162514e-05 loss: 0.0825 (0.0878) loss_seg: 0.0887 (0.0946) loss_lansim: 0.1014 (0.1039) loss_contra: 0.0002 (0.0077) time: 2.5265 data: 0.0026 max mem: 31671 Epoch: [13] [3290/5278] eta: 1:24:04 lr: 3.437248992979569e-05 loss: 0.0793 (0.0878) loss_seg: 0.0859 (0.0946) loss_lansim: 0.1007 (0.1039) loss_contra: 0.0001 (0.0077) time: 2.5346 data: 0.0026 max mem: 31671 Epoch: [13] [3300/5278] eta: 1:23:38 lr: 3.437026780200445e-05 loss: 0.0784 (0.0878) loss_seg: 0.0849 (0.0946) loss_lansim: 0.1003 (0.1039) loss_contra: 0.0001 (0.0076) time: 2.5309 data: 0.0026 max mem: 31671 Epoch: [13] [3310/5278] eta: 1:23:13 lr: 3.4368045658250164e-05 loss: 0.0776 (0.0878) loss_seg: 0.0848 (0.0946) loss_lansim: 0.1001 (0.1039) loss_contra: 0.0002 (0.0077) time: 2.5284 data: 0.0026 max mem: 31671 Epoch: [13] [3320/5278] eta: 1:22:47 lr: 3.436582349853157e-05 loss: 0.0776 (0.0879) loss_seg: 0.0848 (0.0946) loss_lansim: 0.0986 (0.1039) loss_contra: 0.0001 (0.0076) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [13] [3330/5278] eta: 1:22:22 lr: 3.436360132284741e-05 loss: 0.0770 (0.0878) loss_seg: 0.0824 (0.0946) loss_lansim: 0.0986 (0.1039) loss_contra: 0.0001 (0.0076) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [13] [3340/5278] eta: 1:21:56 lr: 3.436137913119643e-05 loss: 0.0776 (0.0878) loss_seg: 0.0849 (0.0946) loss_lansim: 0.0983 (0.1039) loss_contra: 0.0001 (0.0076) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [13] [3350/5278] eta: 1:21:31 lr: 3.435915692357734e-05 loss: 0.0774 (0.0878) loss_seg: 0.0848 (0.0946) loss_lansim: 0.0984 (0.1039) loss_contra: 0.0002 (0.0079) time: 2.5404 data: 0.0025 max mem: 31671 Epoch: [13] [3360/5278] eta: 1:21:06 lr: 3.43569346999889e-05 loss: 0.0771 (0.0878) loss_seg: 0.0837 (0.0945) loss_lansim: 0.0993 (0.1039) loss_contra: 0.0001 (0.0079) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [13] [3370/5278] eta: 1:20:40 lr: 3.435471246042984e-05 loss: 0.0770 (0.0877) loss_seg: 0.0837 (0.0945) loss_lansim: 0.1007 (0.1039) loss_contra: 0.0001 (0.0080) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [13] [3380/5278] eta: 1:20:15 lr: 3.43524902048989e-05 loss: 0.0771 (0.0877) loss_seg: 0.0837 (0.0945) loss_lansim: 0.1010 (0.1039) loss_contra: 0.0002 (0.0080) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [13] [3390/5278] eta: 1:19:50 lr: 3.4350267933394826e-05 loss: 0.0757 (0.0876) loss_seg: 0.0778 (0.0944) loss_lansim: 0.1017 (0.1039) loss_contra: 0.0002 (0.0080) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [13] [3400/5278] eta: 1:19:24 lr: 3.434804564591634e-05 loss: 0.0770 (0.0876) loss_seg: 0.0790 (0.0944) loss_lansim: 0.1014 (0.1039) loss_contra: 0.0004 (0.0081) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [13] [3410/5278] eta: 1:18:59 lr: 3.434582334246218e-05 loss: 0.0757 (0.0877) loss_seg: 0.0790 (0.0944) loss_lansim: 0.1017 (0.1039) loss_contra: 0.0002 (0.0081) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [13] [3420/5278] eta: 1:18:34 lr: 3.4343601023031094e-05 loss: 0.0757 (0.0877) loss_seg: 0.0802 (0.0945) loss_lansim: 0.1025 (0.1039) loss_contra: 0.0002 (0.0081) time: 2.5335 data: 0.0026 max mem: 31671 Epoch: [13] [3430/5278] eta: 1:18:08 lr: 3.43413786876218e-05 loss: 0.0720 (0.0877) loss_seg: 0.0780 (0.0944) loss_lansim: 0.1027 (0.1039) loss_contra: 0.0002 (0.0083) time: 2.5265 data: 0.0026 max mem: 31671 Epoch: [13] [3440/5278] eta: 1:17:42 lr: 3.433915633623307e-05 loss: 0.0716 (0.0877) loss_seg: 0.0751 (0.0944) loss_lansim: 0.1033 (0.1039) loss_contra: 0.0002 (0.0083) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [13] [3450/5278] eta: 1:17:17 lr: 3.43369339688636e-05 loss: 0.0720 (0.0877) loss_seg: 0.0780 (0.0944) loss_lansim: 0.1031 (0.1039) loss_contra: 0.0002 (0.0083) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [13] [3460/5278] eta: 1:16:51 lr: 3.433471158551214e-05 loss: 0.0737 (0.0877) loss_seg: 0.0793 (0.0945) loss_lansim: 0.1031 (0.1039) loss_contra: 0.0002 (0.0082) time: 2.5215 data: 0.0025 max mem: 31671 Epoch: [13] [3470/5278] eta: 1:16:26 lr: 3.4332489186177435e-05 loss: 0.0716 (0.0877) loss_seg: 0.0780 (0.0944) loss_lansim: 0.1023 (0.1039) loss_contra: 0.0001 (0.0082) time: 2.5201 data: 0.0024 max mem: 31671 Epoch: [13] [3480/5278] eta: 1:16:00 lr: 3.43302667708582e-05 loss: 0.0717 (0.0877) loss_seg: 0.0754 (0.0944) loss_lansim: 0.1019 (0.1039) loss_contra: 0.0001 (0.0082) time: 2.5187 data: 0.0024 max mem: 31671 Epoch: [13] [3490/5278] eta: 1:15:35 lr: 3.43280443395532e-05 loss: 0.0737 (0.0877) loss_seg: 0.0796 (0.0944) loss_lansim: 0.1016 (0.1039) loss_contra: 0.0001 (0.0082) time: 2.5134 data: 0.0024 max mem: 31671 Epoch: [13] [3500/5278] eta: 1:15:09 lr: 3.432582189226115e-05 loss: 0.0721 (0.0876) loss_seg: 0.0791 (0.0944) loss_lansim: 0.1019 (0.1039) loss_contra: 0.0001 (0.0082) time: 2.5121 data: 0.0024 max mem: 31671 Epoch: [13] [3510/5278] eta: 1:14:44 lr: 3.432359942898077e-05 loss: 0.0720 (0.0876) loss_seg: 0.0761 (0.0944) loss_lansim: 0.1010 (0.1039) loss_contra: 0.0001 (0.0082) time: 2.5041 data: 0.0024 max mem: 31671 Epoch: [13] [3520/5278] eta: 1:14:18 lr: 3.432137694971084e-05 loss: 0.0716 (0.0876) loss_seg: 0.0751 (0.0943) loss_lansim: 0.1010 (0.1039) loss_contra: 0.0001 (0.0082) time: 2.5033 data: 0.0023 max mem: 31671 Epoch: [13] [3530/5278] eta: 1:13:53 lr: 3.4319154454450045e-05 loss: 0.0721 (0.0876) loss_seg: 0.0754 (0.0944) loss_lansim: 0.1000 (0.1039) loss_contra: 0.0002 (0.0082) time: 2.5119 data: 0.0023 max mem: 31671 Epoch: [13] [3540/5278] eta: 1:13:27 lr: 3.431693194319715e-05 loss: 0.0728 (0.0877) loss_seg: 0.0798 (0.0944) loss_lansim: 0.0991 (0.1038) loss_contra: 0.0002 (0.0082) time: 2.5121 data: 0.0023 max mem: 31671 Epoch: [13] [3550/5278] eta: 1:13:02 lr: 3.4314709415950894e-05 loss: 0.0726 (0.0877) loss_seg: 0.0798 (0.0944) loss_lansim: 0.1000 (0.1039) loss_contra: 0.0002 (0.0082) time: 2.5186 data: 0.0024 max mem: 31671 Epoch: [13] [3560/5278] eta: 1:12:37 lr: 3.431248687270997e-05 loss: 0.0777 (0.0877) loss_seg: 0.0801 (0.0945) loss_lansim: 0.0998 (0.1038) loss_contra: 0.0002 (0.0082) time: 2.5180 data: 0.0024 max mem: 31671 Epoch: [13] [3570/5278] eta: 1:12:11 lr: 3.431026431347316e-05 loss: 0.0728 (0.0877) loss_seg: 0.0798 (0.0944) loss_lansim: 0.0987 (0.1038) loss_contra: 0.0002 (0.0081) time: 2.5181 data: 0.0024 max mem: 31671 Epoch: [13] [3580/5278] eta: 1:11:46 lr: 3.430804173823917e-05 loss: 0.0777 (0.0877) loss_seg: 0.0798 (0.0944) loss_lansim: 0.0983 (0.1038) loss_contra: 0.0002 (0.0082) time: 2.5241 data: 0.0024 max mem: 31671 Epoch: [13] [3590/5278] eta: 1:11:21 lr: 3.430581914700674e-05 loss: 0.0772 (0.0877) loss_seg: 0.0801 (0.0945) loss_lansim: 0.1003 (0.1038) loss_contra: 0.0002 (0.0081) time: 2.5286 data: 0.0024 max mem: 31671 Epoch: [13] [3600/5278] eta: 1:10:56 lr: 3.4303596539774616e-05 loss: 0.0795 (0.0877) loss_seg: 0.0861 (0.0944) loss_lansim: 0.1003 (0.1038) loss_contra: 0.0002 (0.0082) time: 2.5441 data: 0.0024 max mem: 31671 Epoch: [13] [3610/5278] eta: 1:10:31 lr: 3.4301373916541504e-05 loss: 0.0795 (0.0877) loss_seg: 0.0861 (0.0945) loss_lansim: 0.1004 (0.1038) loss_contra: 0.0002 (0.0082) time: 2.5535 data: 0.0024 max mem: 31671 Epoch: [13] [3620/5278] eta: 1:10:05 lr: 3.429915127730615e-05 loss: 0.0820 (0.0878) loss_seg: 0.0907 (0.0945) loss_lansim: 0.1015 (0.1039) loss_contra: 0.0002 (0.0082) time: 2.5576 data: 0.0024 max mem: 31671 Epoch: [13] [3630/5278] eta: 1:09:40 lr: 3.4296928622067295e-05 loss: 0.0810 (0.0878) loss_seg: 0.0873 (0.0946) loss_lansim: 0.1022 (0.1039) loss_contra: 0.0002 (0.0082) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [13] [3640/5278] eta: 1:09:14 lr: 3.429470595082366e-05 loss: 0.0772 (0.0879) loss_seg: 0.0852 (0.0946) loss_lansim: 0.1031 (0.1039) loss_contra: 0.0002 (0.0082) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [13] [3650/5278] eta: 1:08:49 lr: 3.4292483263573984e-05 loss: 0.0772 (0.0878) loss_seg: 0.0833 (0.0945) loss_lansim: 0.1034 (0.1039) loss_contra: 0.0002 (0.0082) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [13] [3660/5278] eta: 1:08:24 lr: 3.4290260560316994e-05 loss: 0.0753 (0.0877) loss_seg: 0.0787 (0.0945) loss_lansim: 0.1047 (0.1039) loss_contra: 0.0002 (0.0082) time: 2.5533 data: 0.0025 max mem: 31671 Epoch: [13] [3670/5278] eta: 1:07:58 lr: 3.4288037841051426e-05 loss: 0.0772 (0.0878) loss_seg: 0.0844 (0.0945) loss_lansim: 0.1069 (0.1040) loss_contra: 0.0002 (0.0082) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [13] [3680/5278] eta: 1:07:33 lr: 3.4285815105776015e-05 loss: 0.0770 (0.0879) loss_seg: 0.0833 (0.0947) loss_lansim: 0.1069 (0.1040) loss_contra: 0.0002 (0.0082) time: 2.5496 data: 0.0025 max mem: 31671 Epoch: [13] [3690/5278] eta: 1:07:07 lr: 3.428359235448948e-05 loss: 0.0753 (0.0879) loss_seg: 0.0808 (0.0947) loss_lansim: 0.1069 (0.1040) loss_contra: 0.0003 (0.0081) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [13] [3700/5278] eta: 1:06:42 lr: 3.4281369587190556e-05 loss: 0.0753 (0.0880) loss_seg: 0.0808 (0.0947) loss_lansim: 0.1069 (0.1040) loss_contra: 0.0003 (0.0081) time: 2.5241 data: 0.0026 max mem: 31671 Epoch: [13] [3710/5278] eta: 1:06:16 lr: 3.427914680387799e-05 loss: 0.0782 (0.0880) loss_seg: 0.0846 (0.0948) loss_lansim: 0.1079 (0.1040) loss_contra: 0.0002 (0.0081) time: 2.5202 data: 0.0026 max mem: 31671 Epoch: [13] [3720/5278] eta: 1:05:51 lr: 3.427692400455049e-05 loss: 0.0753 (0.0880) loss_seg: 0.0821 (0.0947) loss_lansim: 0.1079 (0.1040) loss_contra: 0.0001 (0.0081) time: 2.5167 data: 0.0026 max mem: 31671 Epoch: [13] [3730/5278] eta: 1:05:26 lr: 3.42747011892068e-05 loss: 0.0752 (0.0879) loss_seg: 0.0808 (0.0947) loss_lansim: 0.1088 (0.1040) loss_contra: 0.0001 (0.0081) time: 2.5172 data: 0.0026 max mem: 31671 Epoch: [13] [3740/5278] eta: 1:05:00 lr: 3.4272478357845644e-05 loss: 0.0763 (0.0879) loss_seg: 0.0832 (0.0947) loss_lansim: 0.1078 (0.1040) loss_contra: 0.0001 (0.0081) time: 2.5203 data: 0.0026 max mem: 31671 Epoch: [13] [3750/5278] eta: 1:04:35 lr: 3.427025551046576e-05 loss: 0.0805 (0.0879) loss_seg: 0.0877 (0.0947) loss_lansim: 0.1093 (0.1041) loss_contra: 0.0001 (0.0081) time: 2.5255 data: 0.0026 max mem: 31671 Epoch: [13] [3760/5278] eta: 1:04:09 lr: 3.4268032647065875e-05 loss: 0.0828 (0.0880) loss_seg: 0.0888 (0.0947) loss_lansim: 0.1094 (0.1041) loss_contra: 0.0001 (0.0081) time: 2.5208 data: 0.0026 max mem: 31671 Epoch: [13] [3770/5278] eta: 1:03:44 lr: 3.426580976764472e-05 loss: 0.0805 (0.0880) loss_seg: 0.0877 (0.0948) loss_lansim: 0.1093 (0.1041) loss_contra: 0.0001 (0.0080) time: 2.5248 data: 0.0026 max mem: 31671 Epoch: [13] [3780/5278] eta: 1:03:19 lr: 3.426358687220102e-05 loss: 0.0805 (0.0880) loss_seg: 0.0877 (0.0948) loss_lansim: 0.1094 (0.1042) loss_contra: 0.0001 (0.0080) time: 2.5244 data: 0.0026 max mem: 31671 Epoch: [13] [3790/5278] eta: 1:02:53 lr: 3.42613639607335e-05 loss: 0.0828 (0.0880) loss_seg: 0.0889 (0.0948) loss_lansim: 0.1093 (0.1042) loss_contra: 0.0001 (0.0080) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [13] [3800/5278] eta: 1:02:28 lr: 3.42591410332409e-05 loss: 0.0842 (0.0880) loss_seg: 0.0919 (0.0948) loss_lansim: 0.1097 (0.1042) loss_contra: 0.0001 (0.0080) time: 2.5414 data: 0.0026 max mem: 31671 Epoch: [13] [3810/5278] eta: 1:02:03 lr: 3.425691808972195e-05 loss: 0.0828 (0.0880) loss_seg: 0.0889 (0.0948) loss_lansim: 0.1114 (0.1042) loss_contra: 0.0001 (0.0080) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [13] [3820/5278] eta: 1:01:37 lr: 3.425469513017537e-05 loss: 0.0836 (0.0882) loss_seg: 0.0896 (0.0950) loss_lansim: 0.1122 (0.1042) loss_contra: 0.0001 (0.0080) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [13] [3830/5278] eta: 1:01:12 lr: 3.42524721545999e-05 loss: 0.0829 (0.0881) loss_seg: 0.0889 (0.0949) loss_lansim: 0.1097 (0.1042) loss_contra: 0.0001 (0.0080) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [13] [3840/5278] eta: 1:00:47 lr: 3.425024916299426e-05 loss: 0.0811 (0.0881) loss_seg: 0.0896 (0.0949) loss_lansim: 0.1094 (0.1042) loss_contra: 0.0001 (0.0080) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [13] [3850/5278] eta: 1:00:21 lr: 3.4248026155357165e-05 loss: 0.0805 (0.0881) loss_seg: 0.0875 (0.0949) loss_lansim: 0.1087 (0.1042) loss_contra: 0.0001 (0.0080) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [13] [3860/5278] eta: 0:59:56 lr: 3.424580313168738e-05 loss: 0.0805 (0.0881) loss_seg: 0.0844 (0.0949) loss_lansim: 0.1080 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5363 data: 0.0025 max mem: 31671 Epoch: [13] [3870/5278] eta: 0:59:30 lr: 3.4243580091983594e-05 loss: 0.0810 (0.0881) loss_seg: 0.0875 (0.0949) loss_lansim: 0.1058 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5370 data: 0.0024 max mem: 31671 Epoch: [13] [3880/5278] eta: 0:59:05 lr: 3.4241357036244556e-05 loss: 0.0810 (0.0881) loss_seg: 0.0875 (0.0949) loss_lansim: 0.1058 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [13] [3890/5278] eta: 0:58:40 lr: 3.4239133964469e-05 loss: 0.0822 (0.0882) loss_seg: 0.0889 (0.0950) loss_lansim: 0.1061 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5319 data: 0.0024 max mem: 31671 Epoch: [13] [3900/5278] eta: 0:58:14 lr: 3.423691087665564e-05 loss: 0.0803 (0.0882) loss_seg: 0.0837 (0.0950) loss_lansim: 0.1054 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [13] [3910/5278] eta: 0:57:49 lr: 3.42346877728032e-05 loss: 0.0810 (0.0882) loss_seg: 0.0844 (0.0950) loss_lansim: 0.1054 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [13] [3920/5278] eta: 0:57:24 lr: 3.4232464652910414e-05 loss: 0.0810 (0.0883) loss_seg: 0.0874 (0.0951) loss_lansim: 0.1040 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [13] [3930/5278] eta: 0:56:58 lr: 3.4230241516976004e-05 loss: 0.0810 (0.0883) loss_seg: 0.0874 (0.0951) loss_lansim: 0.1028 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [13] [3940/5278] eta: 0:56:33 lr: 3.422801836499871e-05 loss: 0.0827 (0.0883) loss_seg: 0.0874 (0.0951) loss_lansim: 0.1028 (0.1043) loss_contra: 0.0001 (0.0079) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [13] [3950/5278] eta: 0:56:07 lr: 3.422579519697724e-05 loss: 0.0803 (0.0883) loss_seg: 0.0858 (0.0951) loss_lansim: 0.1028 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5362 data: 0.0026 max mem: 31671 Epoch: [13] [3960/5278] eta: 0:55:42 lr: 3.422357201291033e-05 loss: 0.0805 (0.0883) loss_seg: 0.0861 (0.0951) loss_lansim: 0.1026 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5348 data: 0.0026 max mem: 31671 Epoch: [13] [3970/5278] eta: 0:55:17 lr: 3.422134881279672e-05 loss: 0.0787 (0.0884) loss_seg: 0.0858 (0.0952) loss_lansim: 0.1031 (0.1042) loss_contra: 0.0001 (0.0079) time: 2.5353 data: 0.0027 max mem: 31671 Epoch: [13] [3980/5278] eta: 0:54:52 lr: 3.42191255966351e-05 loss: 0.0778 (0.0884) loss_seg: 0.0849 (0.0952) loss_lansim: 0.1040 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5427 data: 0.0027 max mem: 31671 Epoch: [13] [3990/5278] eta: 0:54:26 lr: 3.421690236442423e-05 loss: 0.0775 (0.0884) loss_seg: 0.0849 (0.0952) loss_lansim: 0.1037 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5368 data: 0.0027 max mem: 31671 Epoch: [13] [4000/5278] eta: 0:54:01 lr: 3.421467911616282e-05 loss: 0.0821 (0.0884) loss_seg: 0.0868 (0.0953) loss_lansim: 0.1056 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [13] [4010/5278] eta: 0:53:36 lr: 3.421245585184959e-05 loss: 0.0783 (0.0884) loss_seg: 0.0861 (0.0952) loss_lansim: 0.1049 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5434 data: 0.0026 max mem: 31671 Epoch: [13] [4020/5278] eta: 0:53:10 lr: 3.4210232571483284e-05 loss: 0.0778 (0.0884) loss_seg: 0.0861 (0.0952) loss_lansim: 0.1052 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5465 data: 0.0026 max mem: 31671 Epoch: [13] [4030/5278] eta: 0:52:45 lr: 3.4208009275062606e-05 loss: 0.0770 (0.0884) loss_seg: 0.0849 (0.0952) loss_lansim: 0.1051 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5477 data: 0.0026 max mem: 31671 Epoch: [13] [4040/5278] eta: 0:52:19 lr: 3.4205785962586296e-05 loss: 0.0766 (0.0884) loss_seg: 0.0812 (0.0952) loss_lansim: 0.1049 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5418 data: 0.0026 max mem: 31671 Epoch: [13] [4050/5278] eta: 0:51:54 lr: 3.4203562634053074e-05 loss: 0.0769 (0.0884) loss_seg: 0.0815 (0.0952) loss_lansim: 0.1051 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [13] [4060/5278] eta: 0:51:29 lr: 3.420133928946166e-05 loss: 0.0754 (0.0883) loss_seg: 0.0804 (0.0951) loss_lansim: 0.1052 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5574 data: 0.0025 max mem: 31671 Epoch: [13] [4070/5278] eta: 0:51:04 lr: 3.4199115928810784e-05 loss: 0.0760 (0.0883) loss_seg: 0.0815 (0.0951) loss_lansim: 0.1049 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5583 data: 0.0025 max mem: 31671 Epoch: [13] [4080/5278] eta: 0:50:39 lr: 3.419689255209916e-05 loss: 0.0766 (0.0884) loss_seg: 0.0831 (0.0952) loss_lansim: 0.1039 (0.1043) loss_contra: 0.0001 (0.0078) time: 2.5603 data: 0.0024 max mem: 31671 Epoch: [13] [4090/5278] eta: 0:50:13 lr: 3.4194669159325523e-05 loss: 0.0760 (0.0884) loss_seg: 0.0815 (0.0952) loss_lansim: 0.1049 (0.1043) loss_contra: 0.0002 (0.0078) time: 2.5664 data: 0.0024 max mem: 31671 Epoch: [13] [4100/5278] eta: 0:49:48 lr: 3.41924457504886e-05 loss: 0.0729 (0.0883) loss_seg: 0.0782 (0.0951) loss_lansim: 0.1045 (0.1043) loss_contra: 0.0002 (0.0078) time: 2.5579 data: 0.0024 max mem: 31671 Epoch: [13] [4110/5278] eta: 0:49:22 lr: 3.4190222325587095e-05 loss: 0.0728 (0.0883) loss_seg: 0.0782 (0.0951) loss_lansim: 0.1041 (0.1043) loss_contra: 0.0002 (0.0078) time: 2.5530 data: 0.0024 max mem: 31671 Epoch: [13] [4120/5278] eta: 0:48:57 lr: 3.418799888461974e-05 loss: 0.0729 (0.0883) loss_seg: 0.0782 (0.0951) loss_lansim: 0.1039 (0.1043) loss_contra: 0.0002 (0.0078) time: 2.5485 data: 0.0024 max mem: 31671 Epoch: [13] [4130/5278] eta: 0:48:32 lr: 3.418577542758527e-05 loss: 0.0706 (0.0883) loss_seg: 0.0766 (0.0950) loss_lansim: 0.1039 (0.1043) loss_contra: 0.0002 (0.0078) time: 2.5455 data: 0.0024 max mem: 31671 Epoch: [13] [4140/5278] eta: 0:48:06 lr: 3.41835519544824e-05 loss: 0.0696 (0.0882) loss_seg: 0.0766 (0.0950) loss_lansim: 0.1041 (0.1043) loss_contra: 0.0002 (0.0078) time: 2.5461 data: 0.0025 max mem: 31671 Epoch: [13] [4150/5278] eta: 0:47:41 lr: 3.418132846530984e-05 loss: 0.0729 (0.0883) loss_seg: 0.0800 (0.0951) loss_lansim: 0.1041 (0.1043) loss_contra: 0.0002 (0.0078) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [13] [4160/5278] eta: 0:47:15 lr: 3.417910496006633e-05 loss: 0.0729 (0.0883) loss_seg: 0.0800 (0.0951) loss_lansim: 0.1027 (0.1042) loss_contra: 0.0003 (0.0079) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [13] [4170/5278] eta: 0:46:50 lr: 3.417688143875059e-05 loss: 0.0681 (0.0883) loss_seg: 0.0746 (0.0950) loss_lansim: 0.1036 (0.1042) loss_contra: 0.0002 (0.0079) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [13] [4180/5278] eta: 0:46:25 lr: 3.4174657901361335e-05 loss: 0.0721 (0.0883) loss_seg: 0.0797 (0.0951) loss_lansim: 0.1043 (0.1042) loss_contra: 0.0003 (0.0080) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [13] [4190/5278] eta: 0:45:59 lr: 3.417243434789729e-05 loss: 0.0719 (0.0883) loss_seg: 0.0780 (0.0951) loss_lansim: 0.1027 (0.1043) loss_contra: 0.0002 (0.0080) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [13] [4200/5278] eta: 0:45:34 lr: 3.4170210778357163e-05 loss: 0.0809 (0.0883) loss_seg: 0.0802 (0.0951) loss_lansim: 0.1038 (0.1043) loss_contra: 0.0002 (0.0080) time: 2.5239 data: 0.0026 max mem: 31671 Epoch: [13] [4210/5278] eta: 0:45:08 lr: 3.4167987192739704e-05 loss: 0.0820 (0.0884) loss_seg: 0.0900 (0.0951) loss_lansim: 0.1041 (0.1043) loss_contra: 0.0002 (0.0080) time: 2.5257 data: 0.0026 max mem: 31671 Epoch: [13] [4220/5278] eta: 0:44:43 lr: 3.416576359104361e-05 loss: 0.0809 (0.0883) loss_seg: 0.0806 (0.0951) loss_lansim: 0.1041 (0.1043) loss_contra: 0.0002 (0.0080) time: 2.5343 data: 0.0026 max mem: 31671 Epoch: [13] [4230/5278] eta: 0:44:18 lr: 3.416353997326761e-05 loss: 0.0813 (0.0883) loss_seg: 0.0834 (0.0951) loss_lansim: 0.1057 (0.1043) loss_contra: 0.0002 (0.0080) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [13] [4240/5278] eta: 0:43:52 lr: 3.416131633941043e-05 loss: 0.0813 (0.0883) loss_seg: 0.0895 (0.0951) loss_lansim: 0.1062 (0.1044) loss_contra: 0.0002 (0.0080) time: 2.5352 data: 0.0026 max mem: 31671 Epoch: [13] [4250/5278] eta: 0:43:27 lr: 3.4159092689470787e-05 loss: 0.0732 (0.0883) loss_seg: 0.0795 (0.0951) loss_lansim: 0.1069 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5307 data: 0.0026 max mem: 31671 Epoch: [13] [4260/5278] eta: 0:43:02 lr: 3.41568690234474e-05 loss: 0.0732 (0.0883) loss_seg: 0.0792 (0.0950) loss_lansim: 0.1069 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5283 data: 0.0026 max mem: 31671 Epoch: [13] [4270/5278] eta: 0:42:36 lr: 3.415464534133898e-05 loss: 0.0780 (0.0883) loss_seg: 0.0797 (0.0951) loss_lansim: 0.1080 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5209 data: 0.0026 max mem: 31671 Epoch: [13] [4280/5278] eta: 0:42:11 lr: 3.415242164314427e-05 loss: 0.0719 (0.0883) loss_seg: 0.0781 (0.0950) loss_lansim: 0.1089 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5262 data: 0.0026 max mem: 31671 Epoch: [13] [4290/5278] eta: 0:41:45 lr: 3.415019792886196e-05 loss: 0.0721 (0.0883) loss_seg: 0.0785 (0.0951) loss_lansim: 0.1100 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [13] [4300/5278] eta: 0:41:20 lr: 3.41479741984908e-05 loss: 0.0719 (0.0883) loss_seg: 0.0785 (0.0951) loss_lansim: 0.1082 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [13] [4310/5278] eta: 0:40:55 lr: 3.41457504520295e-05 loss: 0.0716 (0.0884) loss_seg: 0.0770 (0.0952) loss_lansim: 0.1069 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [13] [4320/5278] eta: 0:40:29 lr: 3.414352668947676e-05 loss: 0.0719 (0.0884) loss_seg: 0.0787 (0.0952) loss_lansim: 0.1082 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [13] [4330/5278] eta: 0:40:04 lr: 3.4141302910831316e-05 loss: 0.0741 (0.0884) loss_seg: 0.0792 (0.0952) loss_lansim: 0.1071 (0.1044) loss_contra: 0.0001 (0.0079) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [13] [4340/5278] eta: 0:39:38 lr: 3.41390791160919e-05 loss: 0.0780 (0.0885) loss_seg: 0.0807 (0.0953) loss_lansim: 0.1071 (0.1045) loss_contra: 0.0001 (0.0079) time: 2.5175 data: 0.0025 max mem: 31671 Epoch: [13] [4350/5278] eta: 0:39:13 lr: 3.4136855305257195e-05 loss: 0.0795 (0.0885) loss_seg: 0.0831 (0.0952) loss_lansim: 0.1078 (0.1045) loss_contra: 0.0001 (0.0079) time: 2.5061 data: 0.0025 max mem: 31671 Epoch: [13] [4360/5278] eta: 0:38:47 lr: 3.413463147832595e-05 loss: 0.0842 (0.0884) loss_seg: 0.0918 (0.0952) loss_lansim: 0.1082 (0.1045) loss_contra: 0.0002 (0.0079) time: 2.5112 data: 0.0024 max mem: 31671 Epoch: [13] [4370/5278] eta: 0:38:22 lr: 3.4132407635296873e-05 loss: 0.0842 (0.0885) loss_seg: 0.0918 (0.0953) loss_lansim: 0.1084 (0.1045) loss_contra: 0.0002 (0.0079) time: 2.5233 data: 0.0024 max mem: 31671 Epoch: [13] [4380/5278] eta: 0:37:57 lr: 3.413018377616868e-05 loss: 0.0842 (0.0885) loss_seg: 0.0934 (0.0953) loss_lansim: 0.1071 (0.1045) loss_contra: 0.0002 (0.0079) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [13] [4390/5278] eta: 0:37:32 lr: 3.41279599009401e-05 loss: 0.0842 (0.0886) loss_seg: 0.0930 (0.0954) loss_lansim: 0.1060 (0.1045) loss_contra: 0.0002 (0.0079) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [13] [4400/5278] eta: 0:37:06 lr: 3.4125736009609835e-05 loss: 0.0842 (0.0885) loss_seg: 0.0926 (0.0953) loss_lansim: 0.1063 (0.1045) loss_contra: 0.0002 (0.0079) time: 2.5212 data: 0.0024 max mem: 31671 Epoch: [13] [4410/5278] eta: 0:36:41 lr: 3.41235121021766e-05 loss: 0.0842 (0.0886) loss_seg: 0.0926 (0.0954) loss_lansim: 0.1079 (0.1045) loss_contra: 0.0002 (0.0079) time: 2.5240 data: 0.0024 max mem: 31671 Epoch: [13] [4420/5278] eta: 0:36:15 lr: 3.4121288178639135e-05 loss: 0.0822 (0.0885) loss_seg: 0.0890 (0.0953) loss_lansim: 0.1078 (0.1045) loss_contra: 0.0001 (0.0079) time: 2.5243 data: 0.0024 max mem: 31671 Epoch: [13] [4430/5278] eta: 0:35:50 lr: 3.411906423899614e-05 loss: 0.0822 (0.0885) loss_seg: 0.0890 (0.0953) loss_lansim: 0.1086 (0.1045) loss_contra: 0.0002 (0.0079) time: 2.5207 data: 0.0024 max mem: 31671 Epoch: [13] [4440/5278] eta: 0:35:25 lr: 3.4116840283246335e-05 loss: 0.0792 (0.0886) loss_seg: 0.0855 (0.0954) loss_lansim: 0.1079 (0.1046) loss_contra: 0.0001 (0.0079) time: 2.5319 data: 0.0024 max mem: 31671 Epoch: [13] [4450/5278] eta: 0:34:59 lr: 3.411461631138844e-05 loss: 0.0773 (0.0885) loss_seg: 0.0850 (0.0953) loss_lansim: 0.1079 (0.1046) loss_contra: 0.0001 (0.0079) time: 2.5493 data: 0.0024 max mem: 31671 Epoch: [13] [4460/5278] eta: 0:34:34 lr: 3.411239232342116e-05 loss: 0.0764 (0.0885) loss_seg: 0.0826 (0.0953) loss_lansim: 0.1077 (0.1046) loss_contra: 0.0001 (0.0079) time: 2.5447 data: 0.0024 max mem: 31671 Epoch: [13] [4470/5278] eta: 0:34:09 lr: 3.4110168319343235e-05 loss: 0.0747 (0.0884) loss_seg: 0.0823 (0.0952) loss_lansim: 0.1066 (0.1046) loss_contra: 0.0001 (0.0080) time: 2.5370 data: 0.0024 max mem: 31671 Epoch: [13] [4480/5278] eta: 0:33:43 lr: 3.410794429915335e-05 loss: 0.0747 (0.0885) loss_seg: 0.0823 (0.0953) loss_lansim: 0.1077 (0.1046) loss_contra: 0.0001 (0.0080) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [13] [4490/5278] eta: 0:33:18 lr: 3.4105720262850243e-05 loss: 0.0727 (0.0884) loss_seg: 0.0780 (0.0952) loss_lansim: 0.1087 (0.1046) loss_contra: 0.0001 (0.0080) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [13] [4500/5278] eta: 0:32:52 lr: 3.4103496210432636e-05 loss: 0.0691 (0.0884) loss_seg: 0.0760 (0.0952) loss_lansim: 0.1086 (0.1046) loss_contra: 0.0002 (0.0080) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [13] [4510/5278] eta: 0:32:27 lr: 3.4101272141899217e-05 loss: 0.0665 (0.0884) loss_seg: 0.0718 (0.0952) loss_lansim: 0.1080 (0.1046) loss_contra: 0.0002 (0.0080) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [13] [4520/5278] eta: 0:32:02 lr: 3.4099048057248725e-05 loss: 0.0727 (0.0884) loss_seg: 0.0802 (0.0952) loss_lansim: 0.1077 (0.1046) loss_contra: 0.0002 (0.0081) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [13] [4530/5278] eta: 0:31:36 lr: 3.409682395647986e-05 loss: 0.0684 (0.0884) loss_seg: 0.0753 (0.0952) loss_lansim: 0.1072 (0.1046) loss_contra: 0.0002 (0.0081) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [13] [4540/5278] eta: 0:31:11 lr: 3.409459983959135e-05 loss: 0.0677 (0.0884) loss_seg: 0.0724 (0.0952) loss_lansim: 0.1073 (0.1046) loss_contra: 0.0003 (0.0081) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [13] [4550/5278] eta: 0:30:45 lr: 3.4092375706581905e-05 loss: 0.0727 (0.0884) loss_seg: 0.0802 (0.0952) loss_lansim: 0.1072 (0.1046) loss_contra: 0.0004 (0.0080) time: 2.5139 data: 0.0025 max mem: 31671 Epoch: [13] [4560/5278] eta: 0:30:20 lr: 3.409015155745023e-05 loss: 0.0724 (0.0884) loss_seg: 0.0800 (0.0951) loss_lansim: 0.1070 (0.1046) loss_contra: 0.0004 (0.0080) time: 2.5232 data: 0.0025 max mem: 31671 Epoch: [13] [4570/5278] eta: 0:29:55 lr: 3.408792739219506e-05 loss: 0.0724 (0.0884) loss_seg: 0.0800 (0.0951) loss_lansim: 0.1051 (0.1046) loss_contra: 0.0004 (0.0080) time: 2.5142 data: 0.0025 max mem: 31671 Epoch: [13] [4580/5278] eta: 0:29:29 lr: 3.408570321081509e-05 loss: 0.0728 (0.0884) loss_seg: 0.0803 (0.0952) loss_lansim: 0.1051 (0.1046) loss_contra: 0.0005 (0.0081) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [13] [4590/5278] eta: 0:29:04 lr: 3.4083479013309045e-05 loss: 0.0728 (0.0884) loss_seg: 0.0802 (0.0952) loss_lansim: 0.1047 (0.1046) loss_contra: 0.0006 (0.0081) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [13] [4600/5278] eta: 0:28:39 lr: 3.4081254799675636e-05 loss: 0.0752 (0.0884) loss_seg: 0.0805 (0.0951) loss_lansim: 0.1037 (0.1046) loss_contra: 0.0006 (0.0081) time: 2.5342 data: 0.0024 max mem: 31671 Epoch: [13] [4610/5278] eta: 0:28:13 lr: 3.407903056991357e-05 loss: 0.0761 (0.0885) loss_seg: 0.0833 (0.0953) loss_lansim: 0.1047 (0.1046) loss_contra: 0.0008 (0.0081) time: 2.5376 data: 0.0024 max mem: 31671 Epoch: [13] [4620/5278] eta: 0:27:48 lr: 3.4076806324021566e-05 loss: 0.0746 (0.0885) loss_seg: 0.0803 (0.0953) loss_lansim: 0.1055 (0.1047) loss_contra: 0.0007 (0.0081) time: 2.5326 data: 0.0024 max mem: 31671 Epoch: [13] [4630/5278] eta: 0:27:23 lr: 3.407458206199834e-05 loss: 0.0752 (0.0885) loss_seg: 0.0803 (0.0953) loss_lansim: 0.1067 (0.1047) loss_contra: 0.0008 (0.0081) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [13] [4640/5278] eta: 0:26:57 lr: 3.4072357783842594e-05 loss: 0.0757 (0.0885) loss_seg: 0.0823 (0.0953) loss_lansim: 0.1037 (0.1047) loss_contra: 0.0006 (0.0081) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [13] [4650/5278] eta: 0:26:32 lr: 3.407013348955306e-05 loss: 0.0757 (0.0886) loss_seg: 0.0823 (0.0954) loss_lansim: 0.1035 (0.1047) loss_contra: 0.0006 (0.0081) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [13] [4660/5278] eta: 0:26:06 lr: 3.406790917912843e-05 loss: 0.0792 (0.0886) loss_seg: 0.0837 (0.0954) loss_lansim: 0.1028 (0.1046) loss_contra: 0.0006 (0.0081) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [13] [4670/5278] eta: 0:25:41 lr: 3.406568485256743e-05 loss: 0.0796 (0.0886) loss_seg: 0.0828 (0.0954) loss_lansim: 0.1037 (0.1046) loss_contra: 0.0006 (0.0081) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [13] [4680/5278] eta: 0:25:16 lr: 3.406346050986877e-05 loss: 0.0796 (0.0886) loss_seg: 0.0828 (0.0954) loss_lansim: 0.1034 (0.1046) loss_contra: 0.0006 (0.0081) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [13] [4690/5278] eta: 0:24:50 lr: 3.406123615103116e-05 loss: 0.0776 (0.0886) loss_seg: 0.0823 (0.0954) loss_lansim: 0.1034 (0.1046) loss_contra: 0.0007 (0.0081) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [13] [4700/5278] eta: 0:24:25 lr: 3.405901177605331e-05 loss: 0.0757 (0.0886) loss_seg: 0.0783 (0.0954) loss_lansim: 0.1017 (0.1046) loss_contra: 0.0005 (0.0081) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [13] [4710/5278] eta: 0:24:00 lr: 3.405678738493393e-05 loss: 0.0769 (0.0886) loss_seg: 0.0794 (0.0954) loss_lansim: 0.1013 (0.1046) loss_contra: 0.0004 (0.0081) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [13] [4720/5278] eta: 0:23:34 lr: 3.405456297767174e-05 loss: 0.0805 (0.0886) loss_seg: 0.0848 (0.0954) loss_lansim: 0.1007 (0.1046) loss_contra: 0.0004 (0.0081) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [13] [4730/5278] eta: 0:23:09 lr: 3.405233855426545e-05 loss: 0.0805 (0.0886) loss_seg: 0.0871 (0.0955) loss_lansim: 0.0997 (0.1046) loss_contra: 0.0003 (0.0080) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [13] [4740/5278] eta: 0:22:43 lr: 3.405011411471376e-05 loss: 0.0829 (0.0886) loss_seg: 0.0890 (0.0954) loss_lansim: 0.1008 (0.1046) loss_contra: 0.0003 (0.0080) time: 2.5221 data: 0.0024 max mem: 31671 Epoch: [13] [4750/5278] eta: 0:22:18 lr: 3.404788965901539e-05 loss: 0.0805 (0.0886) loss_seg: 0.0868 (0.0954) loss_lansim: 0.1008 (0.1046) loss_contra: 0.0003 (0.0081) time: 2.5259 data: 0.0024 max mem: 31671 Epoch: [13] [4760/5278] eta: 0:21:53 lr: 3.4045665187169056e-05 loss: 0.0805 (0.0886) loss_seg: 0.0868 (0.0955) loss_lansim: 0.1013 (0.1046) loss_contra: 0.0002 (0.0081) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [13] [4770/5278] eta: 0:21:28 lr: 3.404344069917344e-05 loss: 0.0783 (0.0886) loss_seg: 0.0848 (0.0954) loss_lansim: 0.1024 (0.1046) loss_contra: 0.0002 (0.0080) time: 2.5340 data: 0.0024 max mem: 31671 Epoch: [13] [4780/5278] eta: 0:21:02 lr: 3.4041216195027295e-05 loss: 0.0740 (0.0886) loss_seg: 0.0819 (0.0954) loss_lansim: 0.1024 (0.1046) loss_contra: 0.0002 (0.0080) time: 2.5284 data: 0.0024 max mem: 31671 Epoch: [13] [4790/5278] eta: 0:20:37 lr: 3.40389916747293e-05 loss: 0.0785 (0.0885) loss_seg: 0.0865 (0.0954) loss_lansim: 0.1027 (0.1046) loss_contra: 0.0001 (0.0080) time: 2.5345 data: 0.0024 max mem: 31671 Epoch: [13] [4800/5278] eta: 0:20:12 lr: 3.403676713827818e-05 loss: 0.0804 (0.0885) loss_seg: 0.0868 (0.0953) loss_lansim: 0.1042 (0.1046) loss_contra: 0.0001 (0.0080) time: 2.5384 data: 0.0024 max mem: 31671 Epoch: [13] [4810/5278] eta: 0:19:46 lr: 3.403454258567264e-05 loss: 0.0713 (0.0885) loss_seg: 0.0778 (0.0953) loss_lansim: 0.1034 (0.1046) loss_contra: 0.0001 (0.0080) time: 2.5479 data: 0.0024 max mem: 31671 Epoch: [13] [4820/5278] eta: 0:19:21 lr: 3.4032318016911384e-05 loss: 0.0702 (0.0884) loss_seg: 0.0763 (0.0953) loss_lansim: 0.1034 (0.1046) loss_contra: 0.0002 (0.0080) time: 2.5476 data: 0.0024 max mem: 31671 Epoch: [13] [4830/5278] eta: 0:18:55 lr: 3.4030093431993124e-05 loss: 0.0702 (0.0885) loss_seg: 0.0763 (0.0954) loss_lansim: 0.1033 (0.1046) loss_contra: 0.0002 (0.0081) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [13] [4840/5278] eta: 0:18:30 lr: 3.402786883091658e-05 loss: 0.0690 (0.0886) loss_seg: 0.0754 (0.0954) loss_lansim: 0.1033 (0.1046) loss_contra: 0.0002 (0.0080) time: 2.5560 data: 0.0025 max mem: 31671 Epoch: [13] [4850/5278] eta: 0:18:05 lr: 3.402564421368044e-05 loss: 0.0702 (0.0885) loss_seg: 0.0763 (0.0954) loss_lansim: 0.1044 (0.1047) loss_contra: 0.0001 (0.0081) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [13] [4860/5278] eta: 0:17:40 lr: 3.4023419580283436e-05 loss: 0.0682 (0.0885) loss_seg: 0.0746 (0.0953) loss_lansim: 0.1057 (0.1047) loss_contra: 0.0001 (0.0081) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [13] [4870/5278] eta: 0:17:14 lr: 3.402119493072426e-05 loss: 0.0706 (0.0886) loss_seg: 0.0774 (0.0954) loss_lansim: 0.1061 (0.1047) loss_contra: 0.0002 (0.0081) time: 2.5666 data: 0.0025 max mem: 31671 Epoch: [13] [4880/5278] eta: 0:16:49 lr: 3.401897026500162e-05 loss: 0.0706 (0.0886) loss_seg: 0.0774 (0.0955) loss_lansim: 0.1082 (0.1047) loss_contra: 0.0003 (0.0081) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [13] [4890/5278] eta: 0:16:23 lr: 3.401674558311424e-05 loss: 0.0706 (0.0886) loss_seg: 0.0777 (0.0955) loss_lansim: 0.1091 (0.1047) loss_contra: 0.0002 (0.0080) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [13] [4900/5278] eta: 0:15:58 lr: 3.401452088506081e-05 loss: 0.0708 (0.0887) loss_seg: 0.0777 (0.0955) loss_lansim: 0.1098 (0.1048) loss_contra: 0.0003 (0.0082) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [13] [4910/5278] eta: 0:15:33 lr: 3.401229617084004e-05 loss: 0.0828 (0.0887) loss_seg: 0.0900 (0.0955) loss_lansim: 0.1116 (0.1048) loss_contra: 0.0003 (0.0082) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [13] [4920/5278] eta: 0:15:07 lr: 3.401007144045065e-05 loss: 0.0828 (0.0887) loss_seg: 0.0843 (0.0956) loss_lansim: 0.1112 (0.1048) loss_contra: 0.0003 (0.0082) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [13] [4930/5278] eta: 0:14:42 lr: 3.400784669389133e-05 loss: 0.0843 (0.0887) loss_seg: 0.0900 (0.0956) loss_lansim: 0.1115 (0.1048) loss_contra: 0.0003 (0.0082) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [13] [4940/5278] eta: 0:14:16 lr: 3.400562193116081e-05 loss: 0.0879 (0.0887) loss_seg: 0.0939 (0.0956) loss_lansim: 0.1111 (0.1048) loss_contra: 0.0003 (0.0082) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [13] [4950/5278] eta: 0:13:51 lr: 3.400339715225778e-05 loss: 0.0854 (0.0887) loss_seg: 0.0916 (0.0956) loss_lansim: 0.1112 (0.1048) loss_contra: 0.0003 (0.0082) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [13] [4960/5278] eta: 0:13:26 lr: 3.400117235718095e-05 loss: 0.0879 (0.0887) loss_seg: 0.0916 (0.0955) loss_lansim: 0.1103 (0.1048) loss_contra: 0.0004 (0.0082) time: 2.5085 data: 0.0025 max mem: 31671 Epoch: [13] [4970/5278] eta: 0:13:00 lr: 3.399894754592903e-05 loss: 0.0826 (0.0887) loss_seg: 0.0873 (0.0956) loss_lansim: 0.1089 (0.1048) loss_contra: 0.0004 (0.0082) time: 2.5053 data: 0.0025 max mem: 31671 Epoch: [13] [4980/5278] eta: 0:12:35 lr: 3.399672271850072e-05 loss: 0.0826 (0.0887) loss_seg: 0.0873 (0.0956) loss_lansim: 0.1088 (0.1048) loss_contra: 0.0003 (0.0082) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [13] [4990/5278] eta: 0:12:10 lr: 3.399449787489473e-05 loss: 0.0821 (0.0887) loss_seg: 0.0852 (0.0955) loss_lansim: 0.1072 (0.1048) loss_contra: 0.0004 (0.0082) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [13] [5000/5278] eta: 0:11:44 lr: 3.399227301510976e-05 loss: 0.0826 (0.0887) loss_seg: 0.0863 (0.0955) loss_lansim: 0.1060 (0.1048) loss_contra: 0.0003 (0.0083) time: 2.5239 data: 0.0025 max mem: 31671 Epoch: [13] [5010/5278] eta: 0:11:19 lr: 3.399004813914452e-05 loss: 0.0769 (0.0887) loss_seg: 0.0841 (0.0955) loss_lansim: 0.1052 (0.1048) loss_contra: 0.0003 (0.0083) time: 2.5184 data: 0.0026 max mem: 31671 Epoch: [13] [5020/5278] eta: 0:10:54 lr: 3.3987823246997724e-05 loss: 0.0759 (0.0886) loss_seg: 0.0831 (0.0955) loss_lansim: 0.1059 (0.1048) loss_contra: 0.0003 (0.0082) time: 2.5237 data: 0.0026 max mem: 31671 Epoch: [13] [5030/5278] eta: 0:10:28 lr: 3.398559833866807e-05 loss: 0.0750 (0.0886) loss_seg: 0.0772 (0.0954) loss_lansim: 0.1052 (0.1049) loss_contra: 0.0002 (0.0083) time: 2.5277 data: 0.0026 max mem: 31671 Epoch: [13] [5040/5278] eta: 0:10:03 lr: 3.3983373414154256e-05 loss: 0.0744 (0.0886) loss_seg: 0.0763 (0.0954) loss_lansim: 0.1044 (0.1048) loss_contra: 0.0001 (0.0082) time: 2.5316 data: 0.0026 max mem: 31671 Epoch: [13] [5050/5278] eta: 0:09:38 lr: 3.3981148473455006e-05 loss: 0.0750 (0.0886) loss_seg: 0.0772 (0.0955) loss_lansim: 0.1043 (0.1049) loss_contra: 0.0002 (0.0082) time: 2.5287 data: 0.0026 max mem: 31671 Epoch: [13] [5060/5278] eta: 0:09:12 lr: 3.3978923516569e-05 loss: 0.0744 (0.0886) loss_seg: 0.0763 (0.0954) loss_lansim: 0.1036 (0.1048) loss_contra: 0.0002 (0.0082) time: 2.5249 data: 0.0026 max mem: 31671 Epoch: [13] [5070/5278] eta: 0:08:47 lr: 3.397669854349497e-05 loss: 0.0755 (0.0886) loss_seg: 0.0831 (0.0954) loss_lansim: 0.1044 (0.1049) loss_contra: 0.0001 (0.0082) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [13] [5080/5278] eta: 0:08:21 lr: 3.397447355423159e-05 loss: 0.0782 (0.0887) loss_seg: 0.0832 (0.0955) loss_lansim: 0.1045 (0.1049) loss_contra: 0.0001 (0.0082) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [13] [5090/5278] eta: 0:07:56 lr: 3.397224854877759e-05 loss: 0.0782 (0.0887) loss_seg: 0.0832 (0.0955) loss_lansim: 0.1045 (0.1049) loss_contra: 0.0001 (0.0083) time: 2.5124 data: 0.0025 max mem: 31671 Epoch: [13] [5100/5278] eta: 0:07:31 lr: 3.397002352713166e-05 loss: 0.0755 (0.0887) loss_seg: 0.0817 (0.0955) loss_lansim: 0.1061 (0.1049) loss_contra: 0.0002 (0.0083) time: 2.5175 data: 0.0024 max mem: 31671 Epoch: [13] [5110/5278] eta: 0:07:05 lr: 3.396779848929251e-05 loss: 0.0795 (0.0887) loss_seg: 0.0863 (0.0956) loss_lansim: 0.1063 (0.1049) loss_contra: 0.0002 (0.0083) time: 2.5304 data: 0.0024 max mem: 31671 Epoch: [13] [5120/5278] eta: 0:06:40 lr: 3.3965573435258835e-05 loss: 0.0816 (0.0888) loss_seg: 0.0887 (0.0956) loss_lansim: 0.1063 (0.1049) loss_contra: 0.0002 (0.0083) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [13] [5130/5278] eta: 0:06:15 lr: 3.396334836502935e-05 loss: 0.0823 (0.0887) loss_seg: 0.0887 (0.0956) loss_lansim: 0.1065 (0.1050) loss_contra: 0.0001 (0.0082) time: 2.5349 data: 0.0024 max mem: 31671 Epoch: [13] [5140/5278] eta: 0:05:49 lr: 3.396112327860274e-05 loss: 0.0795 (0.0887) loss_seg: 0.0848 (0.0955) loss_lansim: 0.1087 (0.1050) loss_contra: 0.0001 (0.0084) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [13] [5150/5278] eta: 0:05:24 lr: 3.395889817597774e-05 loss: 0.0768 (0.0887) loss_seg: 0.0832 (0.0955) loss_lansim: 0.1081 (0.1050) loss_contra: 0.0001 (0.0084) time: 2.5365 data: 0.0024 max mem: 31671 Epoch: [13] [5160/5278] eta: 0:04:59 lr: 3.395667305715302e-05 loss: 0.0761 (0.0886) loss_seg: 0.0818 (0.0954) loss_lansim: 0.1090 (0.1050) loss_contra: 0.0001 (0.0084) time: 2.5458 data: 0.0024 max mem: 31671 Epoch: [13] [5170/5278] eta: 0:04:33 lr: 3.39544479221273e-05 loss: 0.0761 (0.0886) loss_seg: 0.0802 (0.0955) loss_lansim: 0.1081 (0.1050) loss_contra: 0.0002 (0.0084) time: 2.5568 data: 0.0025 max mem: 31671 Epoch: [13] [5180/5278] eta: 0:04:08 lr: 3.3952222770899285e-05 loss: 0.0730 (0.0887) loss_seg: 0.0791 (0.0955) loss_lansim: 0.1079 (0.1050) loss_contra: 0.0003 (0.0085) time: 2.5704 data: 0.0025 max mem: 31671 Epoch: [13] [5190/5278] eta: 0:03:43 lr: 3.394999760346766e-05 loss: 0.0730 (0.0887) loss_seg: 0.0788 (0.0955) loss_lansim: 0.1067 (0.1050) loss_contra: 0.0003 (0.0085) time: 2.5827 data: 0.0025 max mem: 31671 Epoch: [13] [5200/5278] eta: 0:03:17 lr: 3.394777241983114e-05 loss: 0.0761 (0.0888) loss_seg: 0.0802 (0.0956) loss_lansim: 0.1075 (0.1050) loss_contra: 0.0002 (0.0085) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [13] [5210/5278] eta: 0:02:52 lr: 3.3945547219988426e-05 loss: 0.0740 (0.0887) loss_seg: 0.0807 (0.0956) loss_lansim: 0.1075 (0.1050) loss_contra: 0.0001 (0.0085) time: 2.5586 data: 0.0026 max mem: 31671 Epoch: [13] [5220/5278] eta: 0:02:27 lr: 3.394332200393821e-05 loss: 0.0760 (0.0887) loss_seg: 0.0818 (0.0956) loss_lansim: 0.1078 (0.1050) loss_contra: 0.0001 (0.0085) time: 2.5532 data: 0.0025 max mem: 31671 Epoch: [13] [5230/5278] eta: 0:02:01 lr: 3.394109677167921e-05 loss: 0.0778 (0.0888) loss_seg: 0.0847 (0.0956) loss_lansim: 0.1078 (0.1050) loss_contra: 0.0001 (0.0085) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [13] [5240/5278] eta: 0:01:36 lr: 3.393887152321011e-05 loss: 0.0803 (0.0888) loss_seg: 0.0856 (0.0956) loss_lansim: 0.1059 (0.1051) loss_contra: 0.0003 (0.0085) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [13] [5250/5278] eta: 0:01:10 lr: 3.393664625852962e-05 loss: 0.0827 (0.0888) loss_seg: 0.0885 (0.0957) loss_lansim: 0.1057 (0.1051) loss_contra: 0.0003 (0.0085) time: 2.5461 data: 0.0025 max mem: 31671 Epoch: [13] [5260/5278] eta: 0:00:45 lr: 3.3934420977636456e-05 loss: 0.0832 (0.0888) loss_seg: 0.0904 (0.0957) loss_lansim: 0.1057 (0.1051) loss_contra: 0.0003 (0.0085) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [13] [5270/5278] eta: 0:00:20 lr: 3.393219568052928e-05 loss: 0.0840 (0.0889) loss_seg: 0.0914 (0.0957) loss_lansim: 0.1089 (0.1051) loss_contra: 0.0003 (0.0085) time: 2.5182 data: 0.0024 max mem: 31671 Epoch: [13] Total time: 3:43:02 Test: [ 0/2573] eta: 1:43:55 time: 2.4233 data: 2.1798 max mem: 31671 Test: [ 100/2573] eta: 0:06:45 time: 0.1415 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:08 time: 0.1467 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:43 time: 0.1424 data: 0.0017 max mem: 31671 Test: [ 400/2573] eta: 0:05:24 time: 0.1447 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:08 time: 0.1468 data: 0.0014 max mem: 31671 Test: [ 600/2573] eta: 0:04:53 time: 0.1484 data: 0.0014 max mem: 31671 Test: [ 700/2573] eta: 0:04:39 time: 0.1513 data: 0.0014 max mem: 31671 Test: [ 800/2573] eta: 0:04:24 time: 0.1491 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:09 time: 0.1478 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:53 time: 0.1450 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:38 time: 0.1451 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:23 time: 0.1490 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:08 time: 0.1460 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:53 time: 0.1417 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1461 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1471 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1480 data: 0.0014 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1446 data: 0.0014 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1430 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1410 data: 0.0014 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1478 data: 0.0014 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1429 data: 0.0014 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1473 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1430 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1479 data: 0.0015 max mem: 31671 Test: Total time: 0:06:17 Final results: precision@0.5 = 62.62 precision@0.6 = 57.07 precision@0.7 = 49.18 precision@0.8 = 37.79 precision@0.9 = 17.18 overall IoU = 54.76 mean IoU = 55.57 Average object IoU 0.5556745112066686 Overall IoU 54.75576732137039 Epoch: [14] [ 0/5278] eta: 8:19:25 lr: 3.393041543116861e-05 loss: 0.0971 (0.0971) loss_seg: 0.0956 (0.0956) loss_lansim: 0.1507 (0.1507) loss_contra: 0.0000 (0.0000) time: 5.6774 data: 1.2643 max mem: 31671 Epoch: [14] [ 10/5278] eta: 4:07:16 lr: 3.392819010487299e-05 loss: 0.0814 (0.0756) loss_seg: 0.0838 (0.0809) loss_lansim: 0.1031 (0.1081) loss_contra: 0.0000 (0.0013) time: 2.8163 data: 0.1169 max mem: 31671 Epoch: [14] [ 20/5278] eta: 3:53:43 lr: 3.3925964762359734e-05 loss: 0.0684 (0.0766) loss_seg: 0.0754 (0.0816) loss_lansim: 0.1045 (0.1085) loss_contra: 0.0001 (0.0041) time: 2.6672 data: 0.0622 max mem: 31671 Epoch: [14] [ 30/5278] eta: 3:48:09 lr: 3.392373940362755e-05 loss: 0.0811 (0.0791) loss_seg: 0.0801 (0.0844) loss_lansim: 0.1045 (0.1095) loss_contra: 0.0000 (0.0030) time: 2.6086 data: 0.0430 max mem: 31671 Epoch: [14] [ 40/5278] eta: 3:46:24 lr: 3.3921514028675144e-05 loss: 0.0811 (0.0954) loss_seg: 0.0801 (0.1034) loss_lansim: 0.1050 (0.1108) loss_contra: 0.0000 (0.0045) time: 2.5934 data: 0.0331 max mem: 31671 Epoch: [14] [ 50/5278] eta: 3:43:59 lr: 3.39192886375012e-05 loss: 0.0714 (0.0920) loss_seg: 0.0790 (0.0993) loss_lansim: 0.1050 (0.1097) loss_contra: 0.0000 (0.0069) time: 2.5707 data: 0.0271 max mem: 31671 Epoch: [14] [ 60/5278] eta: 3:43:32 lr: 3.3917063230104435e-05 loss: 0.0757 (0.0896) loss_seg: 0.0801 (0.0964) loss_lansim: 0.1045 (0.1103) loss_contra: 0.0001 (0.0060) time: 2.5704 data: 0.0230 max mem: 31671 Epoch: [14] [ 70/5278] eta: 3:42:42 lr: 3.391483780648353e-05 loss: 0.0714 (0.0874) loss_seg: 0.0790 (0.0940) loss_lansim: 0.1055 (0.1111) loss_contra: 0.0001 (0.0056) time: 2.5658 data: 0.0201 max mem: 31671 Epoch: [14] [ 80/5278] eta: 3:42:00 lr: 3.391261236663719e-05 loss: 0.0757 (0.0884) loss_seg: 0.0801 (0.0951) loss_lansim: 0.1065 (0.1114) loss_contra: 0.0001 (0.0056) time: 2.5626 data: 0.0179 max mem: 31671 Epoch: [14] [ 90/5278] eta: 3:41:37 lr: 3.3910386910564126e-05 loss: 0.0714 (0.0866) loss_seg: 0.0790 (0.0932) loss_lansim: 0.1065 (0.1111) loss_contra: 0.0001 (0.0063) time: 2.5632 data: 0.0162 max mem: 31671 Epoch: [14] [ 100/5278] eta: 3:41:00 lr: 3.3908161438263014e-05 loss: 0.0697 (0.0878) loss_seg: 0.0768 (0.0946) loss_lansim: 0.1065 (0.1112) loss_contra: 0.0001 (0.0057) time: 2.5298 data: 0.0024 max mem: 31671 Epoch: [14] [ 110/5278] eta: 3:39:53 lr: 3.390593594973257e-05 loss: 0.0695 (0.0878) loss_seg: 0.0754 (0.0945) loss_lansim: 0.1068 (0.1105) loss_contra: 0.0001 (0.0054) time: 2.5240 data: 0.0024 max mem: 31671 Epoch: [14] [ 120/5278] eta: 3:39:42 lr: 3.3903710444971485e-05 loss: 0.0708 (0.0881) loss_seg: 0.0783 (0.0949) loss_lansim: 0.1068 (0.1100) loss_contra: 0.0001 (0.0051) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [14] [ 130/5278] eta: 3:39:11 lr: 3.3901484923978454e-05 loss: 0.0714 (0.0901) loss_seg: 0.0790 (0.0970) loss_lansim: 0.1077 (0.1107) loss_contra: 0.0002 (0.0052) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [14] [ 140/5278] eta: 3:38:38 lr: 3.3899259386752185e-05 loss: 0.0708 (0.0895) loss_seg: 0.0781 (0.0964) loss_lansim: 0.1072 (0.1102) loss_contra: 0.0002 (0.0051) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [14] [ 150/5278] eta: 3:37:58 lr: 3.389703383329137e-05 loss: 0.0708 (0.0886) loss_seg: 0.0781 (0.0955) loss_lansim: 0.1083 (0.1103) loss_contra: 0.0001 (0.0048) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [14] [ 160/5278] eta: 3:37:46 lr: 3.3894808263594696e-05 loss: 0.0709 (0.0887) loss_seg: 0.0781 (0.0955) loss_lansim: 0.1083 (0.1109) loss_contra: 0.0002 (0.0105) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [14] [ 170/5278] eta: 3:37:20 lr: 3.389258267766088e-05 loss: 0.0745 (0.0918) loss_seg: 0.0823 (0.0986) loss_lansim: 0.1083 (0.1108) loss_contra: 0.0002 (0.0099) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [14] [ 180/5278] eta: 3:36:33 lr: 3.3890357075488605e-05 loss: 0.0719 (0.0912) loss_seg: 0.0781 (0.0978) loss_lansim: 0.1078 (0.1104) loss_contra: 0.0001 (0.0098) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [14] [ 190/5278] eta: 3:36:04 lr: 3.3888131457076566e-05 loss: 0.0719 (0.0901) loss_seg: 0.0781 (0.0967) loss_lansim: 0.1069 (0.1097) loss_contra: 0.0001 (0.0094) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [14] [ 200/5278] eta: 3:35:59 lr: 3.388590582242347e-05 loss: 0.0705 (0.0886) loss_seg: 0.0756 (0.0951) loss_lansim: 0.1062 (0.1092) loss_contra: 0.0001 (0.0092) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [14] [ 210/5278] eta: 3:35:14 lr: 3.3883680171528e-05 loss: 0.0708 (0.0897) loss_seg: 0.0778 (0.0963) loss_lansim: 0.1040 (0.1087) loss_contra: 0.0001 (0.0089) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [14] [ 220/5278] eta: 3:34:57 lr: 3.388145450438887e-05 loss: 0.0707 (0.0896) loss_seg: 0.0763 (0.0962) loss_lansim: 0.1041 (0.1087) loss_contra: 0.0001 (0.0086) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [14] [ 230/5278] eta: 3:34:20 lr: 3.387922882100475e-05 loss: 0.0705 (0.0900) loss_seg: 0.0757 (0.0968) loss_lansim: 0.1039 (0.1088) loss_contra: 0.0002 (0.0085) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [14] [ 240/5278] eta: 3:33:56 lr: 3.387700312137436e-05 loss: 0.0707 (0.0897) loss_seg: 0.0776 (0.0964) loss_lansim: 0.1024 (0.1084) loss_contra: 0.0002 (0.0082) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [14] [ 250/5278] eta: 3:33:35 lr: 3.38747774054964e-05 loss: 0.0707 (0.0895) loss_seg: 0.0776 (0.0963) loss_lansim: 0.1024 (0.1084) loss_contra: 0.0003 (0.0088) time: 2.5464 data: 0.0025 max mem: 31671 Epoch: [14] [ 260/5278] eta: 3:33:00 lr: 3.387255167336953e-05 loss: 0.0705 (0.0889) loss_seg: 0.0757 (0.0956) loss_lansim: 0.1039 (0.1083) loss_contra: 0.0002 (0.0085) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [14] [ 270/5278] eta: 3:32:48 lr: 3.3870325924992465e-05 loss: 0.0702 (0.0876) loss_seg: 0.0727 (0.0942) loss_lansim: 0.1024 (0.1080) loss_contra: 0.0002 (0.0083) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [14] [ 280/5278] eta: 3:32:19 lr: 3.386810016036391e-05 loss: 0.0686 (0.0870) loss_seg: 0.0727 (0.0936) loss_lansim: 0.1021 (0.1078) loss_contra: 0.0003 (0.0081) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [14] [ 290/5278] eta: 3:31:43 lr: 3.386587437948256e-05 loss: 0.0680 (0.0865) loss_seg: 0.0727 (0.0930) loss_lansim: 0.1027 (0.1077) loss_contra: 0.0003 (0.0080) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [14] [ 300/5278] eta: 3:30:57 lr: 3.386364858234709e-05 loss: 0.0707 (0.0872) loss_seg: 0.0761 (0.0937) loss_lansim: 0.1054 (0.1078) loss_contra: 0.0003 (0.0084) time: 2.5237 data: 0.0026 max mem: 31671 Epoch: [14] [ 310/5278] eta: 3:30:24 lr: 3.38614227689562e-05 loss: 0.0705 (0.0870) loss_seg: 0.0746 (0.0935) loss_lansim: 0.1058 (0.1076) loss_contra: 0.0004 (0.0088) time: 2.5265 data: 0.0026 max mem: 31671 Epoch: [14] [ 320/5278] eta: 3:30:03 lr: 3.385919693930859e-05 loss: 0.0711 (0.0872) loss_seg: 0.0761 (0.0936) loss_lansim: 0.1048 (0.1073) loss_contra: 0.0004 (0.0087) time: 2.5246 data: 0.0026 max mem: 31671 Epoch: [14] [ 330/5278] eta: 3:29:43 lr: 3.3856971093402965e-05 loss: 0.0678 (0.0869) loss_seg: 0.0729 (0.0934) loss_lansim: 0.1048 (0.1073) loss_contra: 0.0003 (0.0085) time: 2.5327 data: 0.0026 max mem: 31671 Epoch: [14] [ 340/5278] eta: 3:29:11 lr: 3.385474523123799e-05 loss: 0.0705 (0.0864) loss_seg: 0.0734 (0.0928) loss_lansim: 0.1050 (0.1072) loss_contra: 0.0003 (0.0083) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [14] [ 350/5278] eta: 3:28:52 lr: 3.38525193528124e-05 loss: 0.0678 (0.0863) loss_seg: 0.0729 (0.0928) loss_lansim: 0.1048 (0.1071) loss_contra: 0.0003 (0.0092) time: 2.5287 data: 0.0026 max mem: 31671 Epoch: [14] [ 360/5278] eta: 3:28:32 lr: 3.3850293458124835e-05 loss: 0.0658 (0.0860) loss_seg: 0.0728 (0.0924) loss_lansim: 0.1027 (0.1069) loss_contra: 0.0003 (0.0090) time: 2.5374 data: 0.0026 max mem: 31671 Epoch: [14] [ 370/5278] eta: 3:28:08 lr: 3.384806754717403e-05 loss: 0.0705 (0.0866) loss_seg: 0.0776 (0.0931) loss_lansim: 0.1032 (0.1069) loss_contra: 0.0002 (0.0088) time: 2.5308 data: 0.0026 max mem: 31671 Epoch: [14] [ 380/5278] eta: 3:27:38 lr: 3.384584161995866e-05 loss: 0.0783 (0.0862) loss_seg: 0.0779 (0.0927) loss_lansim: 0.1038 (0.1067) loss_contra: 0.0002 (0.0086) time: 2.5287 data: 0.0026 max mem: 31671 Epoch: [14] [ 390/5278] eta: 3:27:20 lr: 3.384361567647742e-05 loss: 0.0784 (0.0863) loss_seg: 0.0855 (0.0928) loss_lansim: 0.1038 (0.1066) loss_contra: 0.0002 (0.0084) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [14] [ 400/5278] eta: 3:26:53 lr: 3.3841389716729004e-05 loss: 0.0702 (0.0856) loss_seg: 0.0747 (0.0921) loss_lansim: 0.1018 (0.1064) loss_contra: 0.0002 (0.0083) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [14] [ 410/5278] eta: 3:26:28 lr: 3.383916374071211e-05 loss: 0.0691 (0.0854) loss_seg: 0.0747 (0.0919) loss_lansim: 0.1019 (0.1064) loss_contra: 0.0002 (0.0082) time: 2.5565 data: 0.0025 max mem: 31671 Epoch: [14] [ 420/5278] eta: 3:25:57 lr: 3.383693774842541e-05 loss: 0.0691 (0.0853) loss_seg: 0.0746 (0.0917) loss_lansim: 0.1019 (0.1062) loss_contra: 0.0003 (0.0082) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [14] [ 430/5278] eta: 3:25:26 lr: 3.383471173986762e-05 loss: 0.0676 (0.0847) loss_seg: 0.0734 (0.0911) loss_lansim: 0.1010 (0.1059) loss_contra: 0.0002 (0.0081) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [14] [ 440/5278] eta: 3:24:54 lr: 3.383248571503742e-05 loss: 0.0675 (0.0862) loss_seg: 0.0731 (0.0927) loss_lansim: 0.0996 (0.1056) loss_contra: 0.0002 (0.0086) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [14] [ 450/5278] eta: 3:24:37 lr: 3.38302596739335e-05 loss: 0.0677 (0.0863) loss_seg: 0.0744 (0.0927) loss_lansim: 0.0996 (0.1056) loss_contra: 0.0002 (0.0088) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [14] [ 460/5278] eta: 3:24:16 lr: 3.382803361655456e-05 loss: 0.0677 (0.0859) loss_seg: 0.0744 (0.0923) loss_lansim: 0.1005 (0.1055) loss_contra: 0.0002 (0.0086) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [14] [ 470/5278] eta: 3:23:51 lr: 3.382580754289928e-05 loss: 0.0677 (0.0860) loss_seg: 0.0734 (0.0924) loss_lansim: 0.0995 (0.1055) loss_contra: 0.0003 (0.0093) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [14] [ 480/5278] eta: 3:23:16 lr: 3.382358145296635e-05 loss: 0.0677 (0.0861) loss_seg: 0.0734 (0.0925) loss_lansim: 0.0993 (0.1054) loss_contra: 0.0004 (0.0095) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [14] [ 490/5278] eta: 3:22:51 lr: 3.382135534675448e-05 loss: 0.0677 (0.0869) loss_seg: 0.0746 (0.0933) loss_lansim: 0.0972 (0.1051) loss_contra: 0.0004 (0.0093) time: 2.5306 data: 0.0026 max mem: 31671 Epoch: [14] [ 500/5278] eta: 3:22:18 lr: 3.3819129224262336e-05 loss: 0.0728 (0.0870) loss_seg: 0.0763 (0.0935) loss_lansim: 0.0983 (0.1052) loss_contra: 0.0004 (0.0096) time: 2.5236 data: 0.0026 max mem: 31671 Epoch: [14] [ 510/5278] eta: 3:21:47 lr: 3.381690308548863e-05 loss: 0.0775 (0.0871) loss_seg: 0.0790 (0.0936) loss_lansim: 0.0973 (0.1053) loss_contra: 0.0003 (0.0097) time: 2.5158 data: 0.0026 max mem: 31671 Epoch: [14] [ 520/5278] eta: 3:21:19 lr: 3.381467693043203e-05 loss: 0.0775 (0.0870) loss_seg: 0.0785 (0.0935) loss_lansim: 0.0992 (0.1054) loss_contra: 0.0002 (0.0095) time: 2.5185 data: 0.0026 max mem: 31671 Epoch: [14] [ 530/5278] eta: 3:20:57 lr: 3.3812450759091234e-05 loss: 0.0793 (0.0873) loss_seg: 0.0808 (0.0938) loss_lansim: 0.0997 (0.1053) loss_contra: 0.0003 (0.0095) time: 2.5264 data: 0.0026 max mem: 31671 Epoch: [14] [ 540/5278] eta: 3:20:37 lr: 3.381022457146495e-05 loss: 0.0797 (0.0876) loss_seg: 0.0856 (0.0942) loss_lansim: 0.1003 (0.1053) loss_contra: 0.0003 (0.0093) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [14] [ 550/5278] eta: 3:20:17 lr: 3.3807998367551835e-05 loss: 0.0793 (0.0874) loss_seg: 0.0856 (0.0939) loss_lansim: 0.0997 (0.1052) loss_contra: 0.0003 (0.0096) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [14] [ 560/5278] eta: 3:19:55 lr: 3.380577214735061e-05 loss: 0.0817 (0.0875) loss_seg: 0.0870 (0.0941) loss_lansim: 0.1012 (0.1054) loss_contra: 0.0003 (0.0095) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [14] [ 570/5278] eta: 3:19:27 lr: 3.3803545910859935e-05 loss: 0.0798 (0.0874) loss_seg: 0.0856 (0.0940) loss_lansim: 0.1023 (0.1055) loss_contra: 0.0003 (0.0094) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [14] [ 580/5278] eta: 3:19:06 lr: 3.3801319658078514e-05 loss: 0.0777 (0.0871) loss_seg: 0.0836 (0.0937) loss_lansim: 0.1024 (0.1055) loss_contra: 0.0002 (0.0093) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [14] [ 590/5278] eta: 3:18:40 lr: 3.379909338900505e-05 loss: 0.0777 (0.0869) loss_seg: 0.0824 (0.0935) loss_lansim: 0.1053 (0.1057) loss_contra: 0.0002 (0.0091) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [14] [ 600/5278] eta: 3:18:15 lr: 3.37968671036382e-05 loss: 0.0793 (0.0868) loss_seg: 0.0836 (0.0934) loss_lansim: 0.1056 (0.1057) loss_contra: 0.0001 (0.0090) time: 2.5539 data: 0.0025 max mem: 31671 Epoch: [14] [ 610/5278] eta: 3:17:51 lr: 3.3794640801976676e-05 loss: 0.0772 (0.0867) loss_seg: 0.0821 (0.0933) loss_lansim: 0.1042 (0.1056) loss_contra: 0.0001 (0.0089) time: 2.5633 data: 0.0025 max mem: 31671 Epoch: [14] [ 620/5278] eta: 3:17:30 lr: 3.379241448401916e-05 loss: 0.0762 (0.0866) loss_seg: 0.0824 (0.0931) loss_lansim: 0.1027 (0.1055) loss_contra: 0.0001 (0.0089) time: 2.5720 data: 0.0025 max mem: 31671 Epoch: [14] [ 630/5278] eta: 3:17:07 lr: 3.379018814976432e-05 loss: 0.0762 (0.0869) loss_seg: 0.0824 (0.0936) loss_lansim: 0.1029 (0.1054) loss_contra: 0.0002 (0.0092) time: 2.5714 data: 0.0025 max mem: 31671 Epoch: [14] [ 640/5278] eta: 3:16:41 lr: 3.378796179921088e-05 loss: 0.0741 (0.0866) loss_seg: 0.0777 (0.0932) loss_lansim: 0.1054 (0.1056) loss_contra: 0.0001 (0.0096) time: 2.5661 data: 0.0025 max mem: 31671 Epoch: [14] [ 650/5278] eta: 3:16:16 lr: 3.3785735432357505e-05 loss: 0.0758 (0.0867) loss_seg: 0.0777 (0.0933) loss_lansim: 0.1066 (0.1057) loss_contra: 0.0001 (0.0097) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [14] [ 660/5278] eta: 3:15:52 lr: 3.378350904920288e-05 loss: 0.0739 (0.0867) loss_seg: 0.0781 (0.0933) loss_lansim: 0.1056 (0.1056) loss_contra: 0.0001 (0.0097) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [14] [ 670/5278] eta: 3:15:30 lr: 3.378128264974571e-05 loss: 0.0702 (0.0863) loss_seg: 0.0758 (0.0929) loss_lansim: 0.1034 (0.1056) loss_contra: 0.0001 (0.0111) time: 2.5669 data: 0.0025 max mem: 31671 Epoch: [14] [ 680/5278] eta: 3:15:03 lr: 3.377905623398466e-05 loss: 0.0725 (0.0864) loss_seg: 0.0776 (0.0929) loss_lansim: 0.1054 (0.1057) loss_contra: 0.0001 (0.0110) time: 2.5597 data: 0.0025 max mem: 31671 Epoch: [14] [ 690/5278] eta: 3:14:35 lr: 3.377682980191843e-05 loss: 0.0724 (0.0864) loss_seg: 0.0777 (0.0929) loss_lansim: 0.1029 (0.1057) loss_contra: 0.0002 (0.0109) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [14] [ 700/5278] eta: 3:14:05 lr: 3.3774603353545706e-05 loss: 0.0713 (0.0860) loss_seg: 0.0768 (0.0925) loss_lansim: 0.1028 (0.1056) loss_contra: 0.0002 (0.0108) time: 2.5496 data: 0.0024 max mem: 31671 Epoch: [14] [ 710/5278] eta: 3:13:36 lr: 3.3772376888865157e-05 loss: 0.0713 (0.0861) loss_seg: 0.0768 (0.0925) loss_lansim: 0.1049 (0.1058) loss_contra: 0.0002 (0.0107) time: 2.5419 data: 0.0024 max mem: 31671 Epoch: [14] [ 720/5278] eta: 3:13:10 lr: 3.3770150407875496e-05 loss: 0.0717 (0.0860) loss_seg: 0.0776 (0.0925) loss_lansim: 0.1057 (0.1058) loss_contra: 0.0002 (0.0123) time: 2.5347 data: 0.0024 max mem: 31671 Epoch: [14] [ 730/5278] eta: 3:12:44 lr: 3.376792391057539e-05 loss: 0.0723 (0.0862) loss_seg: 0.0781 (0.0927) loss_lansim: 0.1057 (0.1058) loss_contra: 0.0002 (0.0123) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [14] [ 740/5278] eta: 3:12:19 lr: 3.376569739696353e-05 loss: 0.0724 (0.0861) loss_seg: 0.0786 (0.0926) loss_lansim: 0.1057 (0.1058) loss_contra: 0.0003 (0.0121) time: 2.5322 data: 0.0024 max mem: 31671 Epoch: [14] [ 750/5278] eta: 3:11:50 lr: 3.376347086703861e-05 loss: 0.0724 (0.0862) loss_seg: 0.0789 (0.0927) loss_lansim: 0.1054 (0.1059) loss_contra: 0.0003 (0.0120) time: 2.5248 data: 0.0024 max mem: 31671 Epoch: [14] [ 760/5278] eta: 3:11:24 lr: 3.3761244320799294e-05 loss: 0.0712 (0.0859) loss_seg: 0.0768 (0.0923) loss_lansim: 0.1057 (0.1059) loss_contra: 0.0002 (0.0119) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [14] [ 770/5278] eta: 3:10:56 lr: 3.375901775824429e-05 loss: 0.0723 (0.0859) loss_seg: 0.0786 (0.0924) loss_lansim: 0.1068 (0.1060) loss_contra: 0.0002 (0.0127) time: 2.5119 data: 0.0025 max mem: 31671 Epoch: [14] [ 780/5278] eta: 3:10:32 lr: 3.375679117937227e-05 loss: 0.0713 (0.0858) loss_seg: 0.0786 (0.0923) loss_lansim: 0.1057 (0.1059) loss_contra: 0.0002 (0.0125) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [14] [ 790/5278] eta: 3:10:11 lr: 3.375456458418191e-05 loss: 0.0713 (0.0860) loss_seg: 0.0786 (0.0925) loss_lansim: 0.1066 (0.1060) loss_contra: 0.0002 (0.0130) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [14] [ 800/5278] eta: 3:09:43 lr: 3.375233797267192e-05 loss: 0.0727 (0.0862) loss_seg: 0.0801 (0.0928) loss_lansim: 0.1066 (0.1060) loss_contra: 0.0002 (0.0132) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [14] [ 810/5278] eta: 3:09:16 lr: 3.375011134484096e-05 loss: 0.0736 (0.0862) loss_seg: 0.0801 (0.0927) loss_lansim: 0.1061 (0.1060) loss_contra: 0.0002 (0.0131) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [14] [ 820/5278] eta: 3:08:56 lr: 3.374788470068773e-05 loss: 0.0700 (0.0860) loss_seg: 0.0742 (0.0925) loss_lansim: 0.1066 (0.1060) loss_contra: 0.0002 (0.0129) time: 2.5435 data: 0.0025 max mem: 31671 Epoch: [14] [ 830/5278] eta: 3:08:31 lr: 3.374565804021091e-05 loss: 0.0659 (0.0859) loss_seg: 0.0729 (0.0925) loss_lansim: 0.1066 (0.1061) loss_contra: 0.0002 (0.0128) time: 2.5462 data: 0.0024 max mem: 31671 Epoch: [14] [ 840/5278] eta: 3:08:02 lr: 3.374343136340917e-05 loss: 0.0623 (0.0857) loss_seg: 0.0687 (0.0921) loss_lansim: 0.1063 (0.1060) loss_contra: 0.0002 (0.0133) time: 2.5365 data: 0.0024 max mem: 31671 Epoch: [14] [ 850/5278] eta: 3:07:37 lr: 3.374120467028121e-05 loss: 0.0592 (0.0852) loss_seg: 0.0653 (0.0916) loss_lansim: 0.1063 (0.1061) loss_contra: 0.0002 (0.0132) time: 2.5446 data: 0.0024 max mem: 31671 Epoch: [14] [ 860/5278] eta: 3:07:10 lr: 3.3738977960825705e-05 loss: 0.0619 (0.0849) loss_seg: 0.0682 (0.0914) loss_lansim: 0.1065 (0.1061) loss_contra: 0.0002 (0.0131) time: 2.5424 data: 0.0024 max mem: 31671 Epoch: [14] [ 870/5278] eta: 3:06:43 lr: 3.373675123504134e-05 loss: 0.0623 (0.0852) loss_seg: 0.0684 (0.0917) loss_lansim: 0.1051 (0.1060) loss_contra: 0.0002 (0.0136) time: 2.5443 data: 0.0024 max mem: 31671 Epoch: [14] [ 880/5278] eta: 3:06:16 lr: 3.3734524492926805e-05 loss: 0.0659 (0.0852) loss_seg: 0.0728 (0.0917) loss_lansim: 0.1052 (0.1060) loss_contra: 0.0002 (0.0135) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [14] [ 890/5278] eta: 3:05:45 lr: 3.3732297734480775e-05 loss: 0.0633 (0.0851) loss_seg: 0.0696 (0.0916) loss_lansim: 0.1052 (0.1061) loss_contra: 0.0004 (0.0134) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [14] [ 900/5278] eta: 3:05:18 lr: 3.3730070959701925e-05 loss: 0.0623 (0.0852) loss_seg: 0.0684 (0.0917) loss_lansim: 0.1052 (0.1061) loss_contra: 0.0002 (0.0133) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [14] [ 910/5278] eta: 3:04:45 lr: 3.372784416858895e-05 loss: 0.0611 (0.0850) loss_seg: 0.0675 (0.0914) loss_lansim: 0.1065 (0.1062) loss_contra: 0.0002 (0.0131) time: 2.5063 data: 0.0024 max mem: 31671 Epoch: [14] [ 920/5278] eta: 3:04:12 lr: 3.372561736114052e-05 loss: 0.0633 (0.0849) loss_seg: 0.0699 (0.0913) loss_lansim: 0.1067 (0.1062) loss_contra: 0.0002 (0.0130) time: 2.4801 data: 0.0025 max mem: 31671 Epoch: [14] [ 930/5278] eta: 3:03:41 lr: 3.372339053735534e-05 loss: 0.0611 (0.0847) loss_seg: 0.0675 (0.0910) loss_lansim: 0.1063 (0.1062) loss_contra: 0.0001 (0.0129) time: 2.4658 data: 0.0025 max mem: 31671 Epoch: [14] [ 940/5278] eta: 3:03:14 lr: 3.372116369723206e-05 loss: 0.0611 (0.0843) loss_seg: 0.0675 (0.0907) loss_lansim: 0.1062 (0.1062) loss_contra: 0.0001 (0.0127) time: 2.4691 data: 0.0025 max mem: 31671 Epoch: [14] [ 950/5278] eta: 3:02:45 lr: 3.3718936840769374e-05 loss: 0.0687 (0.0847) loss_seg: 0.0726 (0.0910) loss_lansim: 0.1062 (0.1063) loss_contra: 0.0001 (0.0126) time: 2.4593 data: 0.0025 max mem: 31671 Epoch: [14] [ 960/5278] eta: 3:02:18 lr: 3.371670996796598e-05 loss: 0.0723 (0.0846) loss_seg: 0.0728 (0.0910) loss_lansim: 0.1052 (0.1062) loss_contra: 0.0002 (0.0125) time: 2.4578 data: 0.0025 max mem: 31671 Epoch: [14] [ 970/5278] eta: 3:01:52 lr: 3.371448307882053e-05 loss: 0.0674 (0.0848) loss_seg: 0.0729 (0.0912) loss_lansim: 0.1065 (0.1063) loss_contra: 0.0002 (0.0124) time: 2.4583 data: 0.0025 max mem: 31671 Epoch: [14] [ 980/5278] eta: 3:01:25 lr: 3.371225617333173e-05 loss: 0.0674 (0.0847) loss_seg: 0.0730 (0.0911) loss_lansim: 0.1065 (0.1063) loss_contra: 0.0002 (0.0123) time: 2.4570 data: 0.0025 max mem: 31671 Epoch: [14] [ 990/5278] eta: 3:01:00 lr: 3.371002925149825e-05 loss: 0.0686 (0.0847) loss_seg: 0.0744 (0.0911) loss_lansim: 0.1059 (0.1062) loss_contra: 0.0001 (0.0122) time: 2.4678 data: 0.0025 max mem: 31671 Epoch: [14] [1000/5278] eta: 3:00:39 lr: 3.3707802313318756e-05 loss: 0.0663 (0.0845) loss_seg: 0.0730 (0.0909) loss_lansim: 0.1054 (0.1062) loss_contra: 0.0001 (0.0121) time: 2.4810 data: 0.0025 max mem: 31671 Epoch: [14] [1010/5278] eta: 3:00:14 lr: 3.370557535879196e-05 loss: 0.0663 (0.0844) loss_seg: 0.0731 (0.0908) loss_lansim: 0.1052 (0.1062) loss_contra: 0.0001 (0.0120) time: 2.4969 data: 0.0025 max mem: 31671 Epoch: [14] [1020/5278] eta: 2:59:48 lr: 3.370334838791651e-05 loss: 0.0663 (0.0842) loss_seg: 0.0731 (0.0906) loss_lansim: 0.1029 (0.1061) loss_contra: 0.0002 (0.0120) time: 2.5105 data: 0.0025 max mem: 31671 Epoch: [14] [1030/5278] eta: 2:59:24 lr: 3.37011214006911e-05 loss: 0.0667 (0.0843) loss_seg: 0.0734 (0.0907) loss_lansim: 0.1029 (0.1061) loss_contra: 0.0002 (0.0119) time: 2.5260 data: 0.0025 max mem: 31671 Epoch: [14] [1040/5278] eta: 2:59:01 lr: 3.369889439711442e-05 loss: 0.0679 (0.0841) loss_seg: 0.0749 (0.0905) loss_lansim: 0.1032 (0.1061) loss_contra: 0.0002 (0.0119) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [14] [1050/5278] eta: 2:58:36 lr: 3.369666737718513e-05 loss: 0.0674 (0.0840) loss_seg: 0.0744 (0.0904) loss_lansim: 0.1022 (0.1060) loss_contra: 0.0002 (0.0117) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [14] [1060/5278] eta: 2:58:13 lr: 3.3694440340901925e-05 loss: 0.0674 (0.0839) loss_seg: 0.0744 (0.0903) loss_lansim: 0.1036 (0.1060) loss_contra: 0.0002 (0.0117) time: 2.5542 data: 0.0024 max mem: 31671 Epoch: [14] [1070/5278] eta: 2:57:49 lr: 3.369221328826347e-05 loss: 0.0667 (0.0840) loss_seg: 0.0734 (0.0905) loss_lansim: 0.1019 (0.1060) loss_contra: 0.0001 (0.0116) time: 2.5601 data: 0.0024 max mem: 31671 Epoch: [14] [1080/5278] eta: 2:57:24 lr: 3.368998621926845e-05 loss: 0.0667 (0.0841) loss_seg: 0.0734 (0.0906) loss_lansim: 0.1032 (0.1061) loss_contra: 0.0001 (0.0115) time: 2.5640 data: 0.0024 max mem: 31671 Epoch: [14] [1090/5278] eta: 2:57:01 lr: 3.368775913391555e-05 loss: 0.0660 (0.0842) loss_seg: 0.0724 (0.0906) loss_lansim: 0.1045 (0.1061) loss_contra: 0.0001 (0.0115) time: 2.5687 data: 0.0024 max mem: 31671 Epoch: [14] [1100/5278] eta: 2:56:33 lr: 3.368553203220343e-05 loss: 0.0707 (0.0842) loss_seg: 0.0749 (0.0907) loss_lansim: 0.1045 (0.1061) loss_contra: 0.0001 (0.0114) time: 2.5540 data: 0.0024 max mem: 31671 Epoch: [14] [1110/5278] eta: 2:56:07 lr: 3.3683304914130785e-05 loss: 0.0732 (0.0842) loss_seg: 0.0785 (0.0907) loss_lansim: 0.1051 (0.1061) loss_contra: 0.0001 (0.0113) time: 2.5506 data: 0.0024 max mem: 31671 Epoch: [14] [1120/5278] eta: 2:55:40 lr: 3.36810777796963e-05 loss: 0.0737 (0.0842) loss_seg: 0.0794 (0.0907) loss_lansim: 0.1070 (0.1062) loss_contra: 0.0001 (0.0112) time: 2.5490 data: 0.0024 max mem: 31671 Epoch: [14] [1130/5278] eta: 2:55:13 lr: 3.3678850628898616e-05 loss: 0.0751 (0.0845) loss_seg: 0.0807 (0.0909) loss_lansim: 0.1073 (0.1062) loss_contra: 0.0001 (0.0112) time: 2.5402 data: 0.0024 max mem: 31671 Epoch: [14] [1140/5278] eta: 2:54:46 lr: 3.367662346173645e-05 loss: 0.0783 (0.0846) loss_seg: 0.0840 (0.0910) loss_lansim: 0.1079 (0.1062) loss_contra: 0.0002 (0.0111) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [14] [1150/5278] eta: 2:54:19 lr: 3.3674396278208466e-05 loss: 0.0760 (0.0844) loss_seg: 0.0840 (0.0908) loss_lansim: 0.1086 (0.1064) loss_contra: 0.0001 (0.0110) time: 2.5237 data: 0.0024 max mem: 31671 Epoch: [14] [1160/5278] eta: 2:53:52 lr: 3.3672169078313334e-05 loss: 0.0776 (0.0844) loss_seg: 0.0840 (0.0908) loss_lansim: 0.1103 (0.1064) loss_contra: 0.0001 (0.0111) time: 2.5136 data: 0.0024 max mem: 31671 Epoch: [14] [1170/5278] eta: 2:53:24 lr: 3.366994186204974e-05 loss: 0.0747 (0.0842) loss_seg: 0.0794 (0.0906) loss_lansim: 0.1107 (0.1065) loss_contra: 0.0001 (0.0110) time: 2.5020 data: 0.0024 max mem: 31671 Epoch: [14] [1180/5278] eta: 2:52:56 lr: 3.366771462941635e-05 loss: 0.0698 (0.0841) loss_seg: 0.0751 (0.0905) loss_lansim: 0.1103 (0.1065) loss_contra: 0.0001 (0.0109) time: 2.4947 data: 0.0024 max mem: 31671 Epoch: [14] [1190/5278] eta: 2:52:33 lr: 3.366548738041185e-05 loss: 0.0692 (0.0841) loss_seg: 0.0751 (0.0905) loss_lansim: 0.1103 (0.1065) loss_contra: 0.0001 (0.0108) time: 2.4943 data: 0.0024 max mem: 31671 Epoch: [14] [1200/5278] eta: 2:52:10 lr: 3.366326011503492e-05 loss: 0.0692 (0.0841) loss_seg: 0.0751 (0.0905) loss_lansim: 0.1106 (0.1066) loss_contra: 0.0001 (0.0108) time: 2.5085 data: 0.0024 max mem: 31671 Epoch: [14] [1210/5278] eta: 2:51:44 lr: 3.366103283328421e-05 loss: 0.0684 (0.0840) loss_seg: 0.0751 (0.0904) loss_lansim: 0.1098 (0.1066) loss_contra: 0.0001 (0.0107) time: 2.5074 data: 0.0024 max mem: 31671 Epoch: [14] [1220/5278] eta: 2:51:16 lr: 3.3658805535158436e-05 loss: 0.0698 (0.0840) loss_seg: 0.0756 (0.0904) loss_lansim: 0.1105 (0.1066) loss_contra: 0.0001 (0.0107) time: 2.5026 data: 0.0025 max mem: 31671 Epoch: [14] [1230/5278] eta: 2:50:50 lr: 3.365657822065624e-05 loss: 0.0683 (0.0838) loss_seg: 0.0716 (0.0902) loss_lansim: 0.1105 (0.1066) loss_contra: 0.0001 (0.0108) time: 2.5078 data: 0.0024 max mem: 31671 Epoch: [14] [1240/5278] eta: 2:50:22 lr: 3.3654350889776314e-05 loss: 0.0649 (0.0839) loss_seg: 0.0691 (0.0903) loss_lansim: 0.1105 (0.1067) loss_contra: 0.0001 (0.0107) time: 2.4995 data: 0.0024 max mem: 31671 Epoch: [14] [1250/5278] eta: 2:49:57 lr: 3.365212354251733e-05 loss: 0.0649 (0.0838) loss_seg: 0.0688 (0.0901) loss_lansim: 0.1094 (0.1067) loss_contra: 0.0001 (0.0107) time: 2.5083 data: 0.0024 max mem: 31671 Epoch: [14] [1260/5278] eta: 2:49:35 lr: 3.364989617887796e-05 loss: 0.0649 (0.0838) loss_seg: 0.0702 (0.0903) loss_lansim: 0.1098 (0.1068) loss_contra: 0.0001 (0.0106) time: 2.5224 data: 0.0024 max mem: 31671 Epoch: [14] [1270/5278] eta: 2:49:12 lr: 3.364766879885688e-05 loss: 0.0668 (0.0838) loss_seg: 0.0703 (0.0902) loss_lansim: 0.1094 (0.1068) loss_contra: 0.0001 (0.0105) time: 2.5373 data: 0.0024 max mem: 31671 Epoch: [14] [1280/5278] eta: 2:48:46 lr: 3.364544140245277e-05 loss: 0.0680 (0.0838) loss_seg: 0.0744 (0.0903) loss_lansim: 0.1096 (0.1068) loss_contra: 0.0001 (0.0105) time: 2.5418 data: 0.0024 max mem: 31671 Epoch: [14] [1290/5278] eta: 2:48:22 lr: 3.3643213989664296e-05 loss: 0.0681 (0.0838) loss_seg: 0.0744 (0.0902) loss_lansim: 0.1094 (0.1068) loss_contra: 0.0001 (0.0104) time: 2.5420 data: 0.0024 max mem: 31671 Epoch: [14] [1300/5278] eta: 2:47:58 lr: 3.3640986560490145e-05 loss: 0.0680 (0.0837) loss_seg: 0.0737 (0.0902) loss_lansim: 0.1094 (0.1068) loss_contra: 0.0001 (0.0104) time: 2.5375 data: 0.0024 max mem: 31671 Epoch: [14] [1310/5278] eta: 2:47:36 lr: 3.3638759114928976e-05 loss: 0.0668 (0.0837) loss_seg: 0.0703 (0.0901) loss_lansim: 0.1103 (0.1069) loss_contra: 0.0001 (0.0103) time: 2.5515 data: 0.0024 max mem: 31671 Epoch: [14] [1320/5278] eta: 2:47:13 lr: 3.363653165297946e-05 loss: 0.0663 (0.0836) loss_seg: 0.0692 (0.0900) loss_lansim: 0.1098 (0.1069) loss_contra: 0.0001 (0.0103) time: 2.5668 data: 0.0024 max mem: 31671 Epoch: [14] [1330/5278] eta: 2:46:46 lr: 3.36343041746403e-05 loss: 0.0663 (0.0837) loss_seg: 0.0702 (0.0902) loss_lansim: 0.1110 (0.1070) loss_contra: 0.0001 (0.0103) time: 2.5630 data: 0.0024 max mem: 31671 Epoch: [14] [1340/5278] eta: 2:46:20 lr: 3.363207667991012e-05 loss: 0.0668 (0.0841) loss_seg: 0.0703 (0.0906) loss_lansim: 0.1111 (0.1071) loss_contra: 0.0001 (0.0102) time: 2.5701 data: 0.0024 max mem: 31671 Epoch: [14] [1350/5278] eta: 2:45:52 lr: 3.362984916878765e-05 loss: 0.0695 (0.0842) loss_seg: 0.0751 (0.0906) loss_lansim: 0.1134 (0.1072) loss_contra: 0.0001 (0.0103) time: 2.5592 data: 0.0025 max mem: 31671 Epoch: [14] [1360/5278] eta: 2:45:23 lr: 3.3627621641271514e-05 loss: 0.0695 (0.0842) loss_seg: 0.0737 (0.0906) loss_lansim: 0.1114 (0.1073) loss_contra: 0.0001 (0.0103) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [14] [1370/5278] eta: 2:44:56 lr: 3.362539409736042e-05 loss: 0.0736 (0.0841) loss_seg: 0.0775 (0.0906) loss_lansim: 0.1131 (0.1073) loss_contra: 0.0002 (0.0102) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [14] [1380/5278] eta: 2:44:33 lr: 3.362316653705302e-05 loss: 0.0736 (0.0842) loss_seg: 0.0775 (0.0907) loss_lansim: 0.1131 (0.1073) loss_contra: 0.0002 (0.0101) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [14] [1390/5278] eta: 2:44:07 lr: 3.362093896034799e-05 loss: 0.0708 (0.0842) loss_seg: 0.0775 (0.0907) loss_lansim: 0.1131 (0.1074) loss_contra: 0.0003 (0.0103) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [14] [1400/5278] eta: 2:43:42 lr: 3.361871136724401e-05 loss: 0.0705 (0.0841) loss_seg: 0.0740 (0.0906) loss_lansim: 0.1139 (0.1074) loss_contra: 0.0003 (0.0103) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [14] [1410/5278] eta: 2:43:19 lr: 3.361648375773975e-05 loss: 0.0708 (0.0840) loss_seg: 0.0775 (0.0904) loss_lansim: 0.1118 (0.1075) loss_contra: 0.0005 (0.0104) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [14] [1420/5278] eta: 2:42:55 lr: 3.361425613183387e-05 loss: 0.0719 (0.0842) loss_seg: 0.0777 (0.0907) loss_lansim: 0.1118 (0.1075) loss_contra: 0.0006 (0.0104) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [14] [1430/5278] eta: 2:42:31 lr: 3.361202848952505e-05 loss: 0.0708 (0.0841) loss_seg: 0.0744 (0.0906) loss_lansim: 0.1118 (0.1075) loss_contra: 0.0006 (0.0104) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [14] [1440/5278] eta: 2:42:04 lr: 3.360980083081196e-05 loss: 0.0719 (0.0843) loss_seg: 0.0777 (0.0908) loss_lansim: 0.1114 (0.1076) loss_contra: 0.0006 (0.0103) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [14] [1450/5278] eta: 2:41:39 lr: 3.360757315569328e-05 loss: 0.0719 (0.0845) loss_seg: 0.0782 (0.0910) loss_lansim: 0.1103 (0.1077) loss_contra: 0.0006 (0.0103) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [14] [1460/5278] eta: 2:41:15 lr: 3.360534546416767e-05 loss: 0.0719 (0.0844) loss_seg: 0.0782 (0.0909) loss_lansim: 0.1118 (0.1078) loss_contra: 0.0003 (0.0102) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [14] [1470/5278] eta: 2:40:53 lr: 3.36031177562338e-05 loss: 0.0719 (0.0844) loss_seg: 0.0782 (0.0909) loss_lansim: 0.1137 (0.1079) loss_contra: 0.0003 (0.0102) time: 2.5692 data: 0.0025 max mem: 31671 Epoch: [14] [1480/5278] eta: 2:40:28 lr: 3.360089003189034e-05 loss: 0.0699 (0.0844) loss_seg: 0.0744 (0.0909) loss_lansim: 0.1145 (0.1079) loss_contra: 0.0002 (0.0101) time: 2.5650 data: 0.0024 max mem: 31671 Epoch: [14] [1490/5278] eta: 2:40:03 lr: 3.359866229113598e-05 loss: 0.0696 (0.0843) loss_seg: 0.0745 (0.0908) loss_lansim: 0.1145 (0.1080) loss_contra: 0.0002 (0.0101) time: 2.5707 data: 0.0024 max mem: 31671 Epoch: [14] [1500/5278] eta: 2:39:37 lr: 3.3596434533969355e-05 loss: 0.0699 (0.0842) loss_seg: 0.0763 (0.0907) loss_lansim: 0.1145 (0.1081) loss_contra: 0.0002 (0.0100) time: 2.5646 data: 0.0025 max mem: 31671 Epoch: [14] [1510/5278] eta: 2:39:09 lr: 3.359420676038917e-05 loss: 0.0699 (0.0842) loss_seg: 0.0763 (0.0907) loss_lansim: 0.1146 (0.1081) loss_contra: 0.0001 (0.0100) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [14] [1520/5278] eta: 2:38:44 lr: 3.359197897039407e-05 loss: 0.0733 (0.0843) loss_seg: 0.0807 (0.0907) loss_lansim: 0.1152 (0.1082) loss_contra: 0.0001 (0.0099) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [14] [1530/5278] eta: 2:38:17 lr: 3.358975116398274e-05 loss: 0.0734 (0.0844) loss_seg: 0.0809 (0.0909) loss_lansim: 0.1148 (0.1082) loss_contra: 0.0001 (0.0101) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [14] [1540/5278] eta: 2:37:52 lr: 3.358752334115384e-05 loss: 0.0733 (0.0844) loss_seg: 0.0796 (0.0909) loss_lansim: 0.1146 (0.1083) loss_contra: 0.0001 (0.0101) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [14] [1550/5278] eta: 2:37:28 lr: 3.358529550190604e-05 loss: 0.0696 (0.0846) loss_seg: 0.0740 (0.0911) loss_lansim: 0.1138 (0.1083) loss_contra: 0.0002 (0.0101) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [14] [1560/5278] eta: 2:37:03 lr: 3.358306764623802e-05 loss: 0.0702 (0.0846) loss_seg: 0.0740 (0.0911) loss_lansim: 0.1146 (0.1084) loss_contra: 0.0002 (0.0101) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [14] [1570/5278] eta: 2:36:38 lr: 3.358083977414843e-05 loss: 0.0702 (0.0845) loss_seg: 0.0740 (0.0910) loss_lansim: 0.1138 (0.1083) loss_contra: 0.0002 (0.0103) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [14] [1580/5278] eta: 2:36:12 lr: 3.357861188563594e-05 loss: 0.0713 (0.0847) loss_seg: 0.0782 (0.0912) loss_lansim: 0.1138 (0.1084) loss_contra: 0.0002 (0.0103) time: 2.5264 data: 0.0024 max mem: 31671 Epoch: [14] [1590/5278] eta: 2:35:47 lr: 3.3576383980699245e-05 loss: 0.0713 (0.0848) loss_seg: 0.0782 (0.0913) loss_lansim: 0.1129 (0.1084) loss_contra: 0.0002 (0.0102) time: 2.5237 data: 0.0024 max mem: 31671 Epoch: [14] [1600/5278] eta: 2:35:21 lr: 3.357415605933698e-05 loss: 0.0729 (0.0849) loss_seg: 0.0787 (0.0915) loss_lansim: 0.1127 (0.1084) loss_contra: 0.0002 (0.0102) time: 2.5257 data: 0.0024 max mem: 31671 Epoch: [14] [1610/5278] eta: 2:34:54 lr: 3.357192812154783e-05 loss: 0.0709 (0.0849) loss_seg: 0.0738 (0.0914) loss_lansim: 0.1106 (0.1084) loss_contra: 0.0002 (0.0102) time: 2.5290 data: 0.0024 max mem: 31671 Epoch: [14] [1620/5278] eta: 2:34:29 lr: 3.356970016733046e-05 loss: 0.0702 (0.0850) loss_seg: 0.0721 (0.0915) loss_lansim: 0.1106 (0.1085) loss_contra: 0.0002 (0.0101) time: 2.5308 data: 0.0024 max mem: 31671 Epoch: [14] [1630/5278] eta: 2:34:04 lr: 3.3567472196683534e-05 loss: 0.0654 (0.0849) loss_seg: 0.0701 (0.0915) loss_lansim: 0.1106 (0.1085) loss_contra: 0.0002 (0.0101) time: 2.5348 data: 0.0024 max mem: 31671 Epoch: [14] [1640/5278] eta: 2:33:39 lr: 3.356524420960573e-05 loss: 0.0649 (0.0849) loss_seg: 0.0699 (0.0915) loss_lansim: 0.1107 (0.1086) loss_contra: 0.0002 (0.0100) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [14] [1650/5278] eta: 2:33:16 lr: 3.35630162060957e-05 loss: 0.0661 (0.0850) loss_seg: 0.0704 (0.0915) loss_lansim: 0.1106 (0.1086) loss_contra: 0.0002 (0.0101) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [14] [1660/5278] eta: 2:32:52 lr: 3.356078818615211e-05 loss: 0.0637 (0.0849) loss_seg: 0.0697 (0.0915) loss_lansim: 0.1095 (0.1086) loss_contra: 0.0002 (0.0100) time: 2.5455 data: 0.0025 max mem: 31671 Epoch: [14] [1670/5278] eta: 2:32:26 lr: 3.355856014977365e-05 loss: 0.0649 (0.0849) loss_seg: 0.0701 (0.0915) loss_lansim: 0.1104 (0.1087) loss_contra: 0.0002 (0.0099) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [14] [1680/5278] eta: 2:31:59 lr: 3.3556332096958964e-05 loss: 0.0642 (0.0851) loss_seg: 0.0699 (0.0917) loss_lansim: 0.1099 (0.1087) loss_contra: 0.0002 (0.0100) time: 2.5359 data: 0.0025 max mem: 31671 Epoch: [14] [1690/5278] eta: 2:31:33 lr: 3.355410402770673e-05 loss: 0.0651 (0.0853) loss_seg: 0.0715 (0.0919) loss_lansim: 0.1107 (0.1087) loss_contra: 0.0002 (0.0100) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [14] [1700/5278] eta: 2:31:08 lr: 3.35518759420156e-05 loss: 0.0649 (0.0852) loss_seg: 0.0715 (0.0918) loss_lansim: 0.1107 (0.1088) loss_contra: 0.0002 (0.0099) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [14] [1710/5278] eta: 2:30:45 lr: 3.354964783988424e-05 loss: 0.0718 (0.0853) loss_seg: 0.0791 (0.0920) loss_lansim: 0.1104 (0.1087) loss_contra: 0.0001 (0.0100) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [14] [1720/5278] eta: 2:30:20 lr: 3.3547419721311345e-05 loss: 0.0791 (0.0858) loss_seg: 0.0851 (0.0924) loss_lansim: 0.1104 (0.1088) loss_contra: 0.0001 (0.0099) time: 2.5522 data: 0.0025 max mem: 31671 Epoch: [14] [1730/5278] eta: 2:29:55 lr: 3.354519158629555e-05 loss: 0.0791 (0.0857) loss_seg: 0.0863 (0.0923) loss_lansim: 0.1103 (0.1088) loss_contra: 0.0001 (0.0099) time: 2.5547 data: 0.0025 max mem: 31671 Epoch: [14] [1740/5278] eta: 2:29:29 lr: 3.354296343483553e-05 loss: 0.0856 (0.0858) loss_seg: 0.0871 (0.0925) loss_lansim: 0.1095 (0.1088) loss_contra: 0.0002 (0.0100) time: 2.5525 data: 0.0024 max mem: 31671 Epoch: [14] [1750/5278] eta: 2:29:03 lr: 3.354073526692995e-05 loss: 0.0782 (0.0858) loss_seg: 0.0851 (0.0924) loss_lansim: 0.1103 (0.1088) loss_contra: 0.0002 (0.0101) time: 2.5402 data: 0.0024 max mem: 31671 Epoch: [14] [1760/5278] eta: 2:28:39 lr: 3.353850708257747e-05 loss: 0.0788 (0.0857) loss_seg: 0.0859 (0.0923) loss_lansim: 0.1103 (0.1088) loss_contra: 0.0002 (0.0103) time: 2.5400 data: 0.0024 max mem: 31671 Epoch: [14] [1770/5278] eta: 2:28:14 lr: 3.353627888177676e-05 loss: 0.0764 (0.0856) loss_seg: 0.0834 (0.0922) loss_lansim: 0.1098 (0.1088) loss_contra: 0.0003 (0.0103) time: 2.5435 data: 0.0024 max mem: 31671 Epoch: [14] [1780/5278] eta: 2:27:48 lr: 3.353405066452648e-05 loss: 0.0777 (0.0856) loss_seg: 0.0844 (0.0922) loss_lansim: 0.1095 (0.1088) loss_contra: 0.0002 (0.0102) time: 2.5455 data: 0.0024 max mem: 31671 Epoch: [14] [1790/5278] eta: 2:27:23 lr: 3.353182243082531e-05 loss: 0.0755 (0.0856) loss_seg: 0.0828 (0.0922) loss_lansim: 0.1089 (0.1089) loss_contra: 0.0002 (0.0102) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [14] [1800/5278] eta: 2:26:57 lr: 3.352959418067189e-05 loss: 0.0755 (0.0855) loss_seg: 0.0828 (0.0921) loss_lansim: 0.1084 (0.1089) loss_contra: 0.0002 (0.0102) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [14] [1810/5278] eta: 2:26:33 lr: 3.3527365914064896e-05 loss: 0.0727 (0.0854) loss_seg: 0.0774 (0.0920) loss_lansim: 0.1102 (0.1089) loss_contra: 0.0002 (0.0101) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [14] [1820/5278] eta: 2:26:07 lr: 3.352513763100299e-05 loss: 0.0695 (0.0856) loss_seg: 0.0745 (0.0922) loss_lansim: 0.1107 (0.1089) loss_contra: 0.0002 (0.0101) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [14] [1830/5278] eta: 2:25:40 lr: 3.3522909331484835e-05 loss: 0.0706 (0.0858) loss_seg: 0.0766 (0.0924) loss_lansim: 0.1107 (0.1090) loss_contra: 0.0002 (0.0100) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [14] [1840/5278] eta: 2:25:16 lr: 3.3520681015509086e-05 loss: 0.0700 (0.0858) loss_seg: 0.0764 (0.0924) loss_lansim: 0.1122 (0.1090) loss_contra: 0.0002 (0.0100) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [14] [1850/5278] eta: 2:24:52 lr: 3.351845268307443e-05 loss: 0.0699 (0.0857) loss_seg: 0.0755 (0.0923) loss_lansim: 0.1107 (0.1090) loss_contra: 0.0002 (0.0099) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [14] [1860/5278] eta: 2:24:27 lr: 3.3516224334179504e-05 loss: 0.0692 (0.0856) loss_seg: 0.0751 (0.0922) loss_lansim: 0.1107 (0.1090) loss_contra: 0.0002 (0.0099) time: 2.5412 data: 0.0025 max mem: 31671 Epoch: [14] [1870/5278] eta: 2:24:02 lr: 3.351399596882298e-05 loss: 0.0699 (0.0855) loss_seg: 0.0765 (0.0921) loss_lansim: 0.1119 (0.1090) loss_contra: 0.0002 (0.0099) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [14] [1880/5278] eta: 2:23:37 lr: 3.3511767587003526e-05 loss: 0.0692 (0.0854) loss_seg: 0.0755 (0.0920) loss_lansim: 0.1118 (0.1090) loss_contra: 0.0002 (0.0098) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [14] [1890/5278] eta: 2:23:11 lr: 3.350953918871979e-05 loss: 0.0686 (0.0853) loss_seg: 0.0751 (0.0918) loss_lansim: 0.1119 (0.1091) loss_contra: 0.0002 (0.0098) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [14] [1900/5278] eta: 2:22:46 lr: 3.3507310773970444e-05 loss: 0.0692 (0.0854) loss_seg: 0.0755 (0.0920) loss_lansim: 0.1127 (0.1091) loss_contra: 0.0001 (0.0097) time: 2.5513 data: 0.0025 max mem: 31671 Epoch: [14] [1910/5278] eta: 2:22:20 lr: 3.3505082342754155e-05 loss: 0.0692 (0.0854) loss_seg: 0.0755 (0.0920) loss_lansim: 0.1127 (0.1091) loss_contra: 0.0002 (0.0097) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [14] [1920/5278] eta: 2:21:54 lr: 3.350285389506957e-05 loss: 0.0692 (0.0854) loss_seg: 0.0764 (0.0920) loss_lansim: 0.1124 (0.1091) loss_contra: 0.0001 (0.0096) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [14] [1930/5278] eta: 2:21:29 lr: 3.350062543091536e-05 loss: 0.0692 (0.0854) loss_seg: 0.0760 (0.0920) loss_lansim: 0.1121 (0.1091) loss_contra: 0.0001 (0.0096) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [14] [1940/5278] eta: 2:21:03 lr: 3.349839695029019e-05 loss: 0.0683 (0.0852) loss_seg: 0.0751 (0.0918) loss_lansim: 0.1118 (0.1091) loss_contra: 0.0001 (0.0096) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [14] [1950/5278] eta: 2:20:39 lr: 3.34961684531927e-05 loss: 0.0703 (0.0855) loss_seg: 0.0765 (0.0921) loss_lansim: 0.1118 (0.1091) loss_contra: 0.0001 (0.0095) time: 2.5382 data: 0.0026 max mem: 31671 Epoch: [14] [1960/5278] eta: 2:20:13 lr: 3.349393993962157e-05 loss: 0.0760 (0.0855) loss_seg: 0.0807 (0.0921) loss_lansim: 0.1107 (0.1091) loss_contra: 0.0001 (0.0095) time: 2.5364 data: 0.0026 max mem: 31671 Epoch: [14] [1970/5278] eta: 2:19:48 lr: 3.349171140957546e-05 loss: 0.0766 (0.0855) loss_seg: 0.0844 (0.0921) loss_lansim: 0.1101 (0.1091) loss_contra: 0.0001 (0.0095) time: 2.5350 data: 0.0026 max mem: 31671 Epoch: [14] [1980/5278] eta: 2:19:23 lr: 3.348948286305302e-05 loss: 0.0766 (0.0854) loss_seg: 0.0844 (0.0920) loss_lansim: 0.1102 (0.1091) loss_contra: 0.0001 (0.0094) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [14] [1990/5278] eta: 2:18:58 lr: 3.348725430005292e-05 loss: 0.0764 (0.0853) loss_seg: 0.0839 (0.0919) loss_lansim: 0.1098 (0.1091) loss_contra: 0.0001 (0.0094) time: 2.5371 data: 0.0025 max mem: 31671 Epoch: [14] [2000/5278] eta: 2:18:32 lr: 3.3485025720573805e-05 loss: 0.0767 (0.0853) loss_seg: 0.0844 (0.0919) loss_lansim: 0.1080 (0.1091) loss_contra: 0.0001 (0.0093) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [14] [2010/5278] eta: 2:18:08 lr: 3.348279712461435e-05 loss: 0.0766 (0.0853) loss_seg: 0.0839 (0.0919) loss_lansim: 0.1061 (0.1091) loss_contra: 0.0001 (0.0093) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [14] [2020/5278] eta: 2:17:43 lr: 3.348056851217321e-05 loss: 0.0751 (0.0852) loss_seg: 0.0809 (0.0918) loss_lansim: 0.1080 (0.1091) loss_contra: 0.0001 (0.0093) time: 2.5495 data: 0.0025 max mem: 31671 Epoch: [14] [2030/5278] eta: 2:17:19 lr: 3.347833988324904e-05 loss: 0.0710 (0.0851) loss_seg: 0.0772 (0.0916) loss_lansim: 0.1086 (0.1091) loss_contra: 0.0002 (0.0092) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [14] [2040/5278] eta: 2:16:54 lr: 3.34761112378405e-05 loss: 0.0751 (0.0852) loss_seg: 0.0794 (0.0918) loss_lansim: 0.1101 (0.1092) loss_contra: 0.0001 (0.0093) time: 2.5665 data: 0.0024 max mem: 31671 Epoch: [14] [2050/5278] eta: 2:16:28 lr: 3.3473882575946255e-05 loss: 0.0731 (0.0852) loss_seg: 0.0785 (0.0918) loss_lansim: 0.1102 (0.1092) loss_contra: 0.0001 (0.0093) time: 2.5558 data: 0.0024 max mem: 31671 Epoch: [14] [2060/5278] eta: 2:16:02 lr: 3.347165389756496e-05 loss: 0.0722 (0.0852) loss_seg: 0.0784 (0.0918) loss_lansim: 0.1103 (0.1092) loss_contra: 0.0002 (0.0092) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [14] [2070/5278] eta: 2:15:38 lr: 3.3469425202695266e-05 loss: 0.0730 (0.0853) loss_seg: 0.0785 (0.0919) loss_lansim: 0.1112 (0.1093) loss_contra: 0.0001 (0.0092) time: 2.5574 data: 0.0024 max mem: 31671 Epoch: [14] [2080/5278] eta: 2:15:12 lr: 3.346719649133583e-05 loss: 0.0730 (0.0853) loss_seg: 0.0785 (0.0919) loss_lansim: 0.1117 (0.1093) loss_contra: 0.0002 (0.0092) time: 2.5522 data: 0.0024 max mem: 31671 Epoch: [14] [2090/5278] eta: 2:14:46 lr: 3.346496776348533e-05 loss: 0.0730 (0.0852) loss_seg: 0.0785 (0.0918) loss_lansim: 0.1117 (0.1093) loss_contra: 0.0001 (0.0092) time: 2.5473 data: 0.0024 max mem: 31671 Epoch: [14] [2100/5278] eta: 2:14:19 lr: 3.346273901914241e-05 loss: 0.0722 (0.0852) loss_seg: 0.0785 (0.0918) loss_lansim: 0.1128 (0.1093) loss_contra: 0.0002 (0.0092) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [14] [2110/5278] eta: 2:13:55 lr: 3.346051025830572e-05 loss: 0.0722 (0.0852) loss_seg: 0.0785 (0.0918) loss_lansim: 0.1121 (0.1093) loss_contra: 0.0001 (0.0092) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [14] [2120/5278] eta: 2:13:29 lr: 3.3458281480973936e-05 loss: 0.0715 (0.0850) loss_seg: 0.0784 (0.0916) loss_lansim: 0.1121 (0.1093) loss_contra: 0.0001 (0.0091) time: 2.5346 data: 0.0024 max mem: 31671 Epoch: [14] [2130/5278] eta: 2:13:03 lr: 3.345605268714569e-05 loss: 0.0733 (0.0851) loss_seg: 0.0804 (0.0916) loss_lansim: 0.1117 (0.1093) loss_contra: 0.0001 (0.0091) time: 2.5203 data: 0.0024 max mem: 31671 Epoch: [14] [2140/5278] eta: 2:12:37 lr: 3.3453823876819665e-05 loss: 0.0718 (0.0850) loss_seg: 0.0785 (0.0916) loss_lansim: 0.1121 (0.1093) loss_contra: 0.0001 (0.0090) time: 2.5113 data: 0.0024 max mem: 31671 Epoch: [14] [2150/5278] eta: 2:12:11 lr: 3.3451595049994496e-05 loss: 0.0718 (0.0852) loss_seg: 0.0754 (0.0918) loss_lansim: 0.1119 (0.1093) loss_contra: 0.0001 (0.0090) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [14] [2160/5278] eta: 2:11:45 lr: 3.3449366206668855e-05 loss: 0.0712 (0.0852) loss_seg: 0.0754 (0.0917) loss_lansim: 0.1089 (0.1093) loss_contra: 0.0001 (0.0090) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [14] [2170/5278] eta: 2:11:20 lr: 3.34471373468414e-05 loss: 0.0694 (0.0851) loss_seg: 0.0748 (0.0917) loss_lansim: 0.1067 (0.1093) loss_contra: 0.0001 (0.0089) time: 2.5081 data: 0.0024 max mem: 31671 Epoch: [14] [2180/5278] eta: 2:10:54 lr: 3.344490847051077e-05 loss: 0.0685 (0.0850) loss_seg: 0.0748 (0.0916) loss_lansim: 0.1065 (0.1093) loss_contra: 0.0001 (0.0090) time: 2.5045 data: 0.0024 max mem: 31671 Epoch: [14] [2190/5278] eta: 2:10:30 lr: 3.344267957767563e-05 loss: 0.0705 (0.0850) loss_seg: 0.0754 (0.0916) loss_lansim: 0.1073 (0.1093) loss_contra: 0.0001 (0.0089) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [14] [2200/5278] eta: 2:10:04 lr: 3.344045066833463e-05 loss: 0.0702 (0.0851) loss_seg: 0.0748 (0.0916) loss_lansim: 0.1073 (0.1093) loss_contra: 0.0001 (0.0089) time: 2.5227 data: 0.0024 max mem: 31671 Epoch: [14] [2210/5278] eta: 2:09:38 lr: 3.3438221742486434e-05 loss: 0.0682 (0.0850) loss_seg: 0.0714 (0.0915) loss_lansim: 0.1082 (0.1093) loss_contra: 0.0001 (0.0089) time: 2.5155 data: 0.0024 max mem: 31671 Epoch: [14] [2220/5278] eta: 2:09:12 lr: 3.34359928001297e-05 loss: 0.0694 (0.0849) loss_seg: 0.0721 (0.0915) loss_lansim: 0.1090 (0.1094) loss_contra: 0.0001 (0.0089) time: 2.5090 data: 0.0024 max mem: 31671 Epoch: [14] [2230/5278] eta: 2:08:46 lr: 3.343376384126307e-05 loss: 0.0682 (0.0849) loss_seg: 0.0714 (0.0914) loss_lansim: 0.1112 (0.1094) loss_contra: 0.0002 (0.0089) time: 2.5122 data: 0.0024 max mem: 31671 Epoch: [14] [2240/5278] eta: 2:08:21 lr: 3.343153486588521e-05 loss: 0.0682 (0.0848) loss_seg: 0.0714 (0.0913) loss_lansim: 0.1106 (0.1094) loss_contra: 0.0002 (0.0089) time: 2.5187 data: 0.0024 max mem: 31671 Epoch: [14] [2250/5278] eta: 2:07:55 lr: 3.3429305873994774e-05 loss: 0.0648 (0.0848) loss_seg: 0.0703 (0.0913) loss_lansim: 0.1116 (0.1095) loss_contra: 0.0002 (0.0088) time: 2.5175 data: 0.0024 max mem: 31671 Epoch: [14] [2260/5278] eta: 2:07:30 lr: 3.3427076865590394e-05 loss: 0.0648 (0.0848) loss_seg: 0.0703 (0.0914) loss_lansim: 0.1116 (0.1095) loss_contra: 0.0002 (0.0088) time: 2.5244 data: 0.0024 max mem: 31671 Epoch: [14] [2270/5278] eta: 2:07:06 lr: 3.342484784067076e-05 loss: 0.0648 (0.0849) loss_seg: 0.0703 (0.0914) loss_lansim: 0.1137 (0.1095) loss_contra: 0.0002 (0.0092) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [14] [2280/5278] eta: 2:06:40 lr: 3.342261879923451e-05 loss: 0.0681 (0.0850) loss_seg: 0.0712 (0.0915) loss_lansim: 0.1137 (0.1095) loss_contra: 0.0003 (0.0092) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [14] [2290/5278] eta: 2:06:16 lr: 3.342038974128029e-05 loss: 0.0648 (0.0849) loss_seg: 0.0703 (0.0914) loss_lansim: 0.1135 (0.1095) loss_contra: 0.0003 (0.0092) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [14] [2300/5278] eta: 2:05:52 lr: 3.3418160666806754e-05 loss: 0.0650 (0.0848) loss_seg: 0.0712 (0.0913) loss_lansim: 0.1116 (0.1095) loss_contra: 0.0002 (0.0092) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [14] [2310/5278] eta: 2:05:26 lr: 3.341593157581256e-05 loss: 0.0681 (0.0849) loss_seg: 0.0741 (0.0915) loss_lansim: 0.1106 (0.1095) loss_contra: 0.0003 (0.0091) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [14] [2320/5278] eta: 2:04:59 lr: 3.341370246829637e-05 loss: 0.0776 (0.0851) loss_seg: 0.0819 (0.0917) loss_lansim: 0.1096 (0.1095) loss_contra: 0.0003 (0.0092) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [14] [2330/5278] eta: 2:04:35 lr: 3.3411473344256826e-05 loss: 0.0797 (0.0851) loss_seg: 0.0859 (0.0917) loss_lansim: 0.1089 (0.1095) loss_contra: 0.0002 (0.0091) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [14] [2340/5278] eta: 2:04:09 lr: 3.340924420369258e-05 loss: 0.0797 (0.0851) loss_seg: 0.0841 (0.0916) loss_lansim: 0.1088 (0.1095) loss_contra: 0.0003 (0.0091) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [14] [2350/5278] eta: 2:03:44 lr: 3.340701504660229e-05 loss: 0.0797 (0.0850) loss_seg: 0.0841 (0.0916) loss_lansim: 0.1085 (0.1096) loss_contra: 0.0003 (0.0091) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [14] [2360/5278] eta: 2:03:18 lr: 3.340478587298461e-05 loss: 0.0810 (0.0851) loss_seg: 0.0841 (0.0916) loss_lansim: 0.1082 (0.1096) loss_contra: 0.0003 (0.0091) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [14] [2370/5278] eta: 2:02:53 lr: 3.340255668283818e-05 loss: 0.0814 (0.0850) loss_seg: 0.0898 (0.0916) loss_lansim: 0.1069 (0.1096) loss_contra: 0.0003 (0.0090) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [14] [2380/5278] eta: 2:02:27 lr: 3.340032747616167e-05 loss: 0.0774 (0.0850) loss_seg: 0.0839 (0.0916) loss_lansim: 0.1084 (0.1096) loss_contra: 0.0003 (0.0090) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [14] [2390/5278] eta: 2:02:01 lr: 3.339809825295371e-05 loss: 0.0810 (0.0851) loss_seg: 0.0867 (0.0916) loss_lansim: 0.1090 (0.1096) loss_contra: 0.0003 (0.0092) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [14] [2400/5278] eta: 2:01:36 lr: 3.339586901321297e-05 loss: 0.0814 (0.0851) loss_seg: 0.0898 (0.0916) loss_lansim: 0.1104 (0.1096) loss_contra: 0.0003 (0.0092) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [14] [2410/5278] eta: 2:01:11 lr: 3.339363975693809e-05 loss: 0.0774 (0.0851) loss_seg: 0.0839 (0.0917) loss_lansim: 0.1114 (0.1097) loss_contra: 0.0003 (0.0092) time: 2.5229 data: 0.0025 max mem: 31671 Epoch: [14] [2420/5278] eta: 2:00:46 lr: 3.339141048412772e-05 loss: 0.0760 (0.0851) loss_seg: 0.0832 (0.0917) loss_lansim: 0.1120 (0.1097) loss_contra: 0.0004 (0.0092) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [14] [2430/5278] eta: 2:00:20 lr: 3.338918119478052e-05 loss: 0.0751 (0.0851) loss_seg: 0.0817 (0.0917) loss_lansim: 0.1120 (0.1097) loss_contra: 0.0005 (0.0092) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [14] [2440/5278] eta: 1:59:55 lr: 3.3386951888895135e-05 loss: 0.0760 (0.0851) loss_seg: 0.0836 (0.0917) loss_lansim: 0.1120 (0.1097) loss_contra: 0.0004 (0.0092) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [14] [2450/5278] eta: 1:59:30 lr: 3.3384722566470217e-05 loss: 0.0759 (0.0851) loss_seg: 0.0832 (0.0917) loss_lansim: 0.1112 (0.1097) loss_contra: 0.0008 (0.0092) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [14] [2460/5278] eta: 1:59:05 lr: 3.338249322750442e-05 loss: 0.0738 (0.0852) loss_seg: 0.0817 (0.0918) loss_lansim: 0.1115 (0.1098) loss_contra: 0.0004 (0.0092) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [14] [2470/5278] eta: 1:58:39 lr: 3.338026387199638e-05 loss: 0.0730 (0.0851) loss_seg: 0.0798 (0.0917) loss_lansim: 0.1140 (0.1100) loss_contra: 0.0007 (0.0092) time: 2.5363 data: 0.0024 max mem: 31671 Epoch: [14] [2480/5278] eta: 1:58:15 lr: 3.337803449994476e-05 loss: 0.0721 (0.0851) loss_seg: 0.0794 (0.0917) loss_lansim: 0.1160 (0.1103) loss_contra: 0.0008 (0.0093) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [14] [2490/5278] eta: 1:57:50 lr: 3.337580511134821e-05 loss: 0.0717 (0.0851) loss_seg: 0.0778 (0.0917) loss_lansim: 0.1206 (0.1105) loss_contra: 0.0007 (0.0094) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [14] [2500/5278] eta: 1:57:25 lr: 3.3373575706205365e-05 loss: 0.0703 (0.0851) loss_seg: 0.0754 (0.0917) loss_lansim: 0.1237 (0.1108) loss_contra: 0.0008 (0.0094) time: 2.5618 data: 0.0025 max mem: 31671 Epoch: [14] [2510/5278] eta: 1:57:00 lr: 3.337134628451489e-05 loss: 0.0710 (0.0852) loss_seg: 0.0767 (0.0917) loss_lansim: 0.1383 (0.1111) loss_contra: 0.0008 (0.0096) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [14] [2520/5278] eta: 1:56:35 lr: 3.3369116846275425e-05 loss: 0.0710 (0.0852) loss_seg: 0.0767 (0.0917) loss_lansim: 0.1458 (0.1113) loss_contra: 0.0005 (0.0096) time: 2.5589 data: 0.0025 max mem: 31671 Epoch: [14] [2530/5278] eta: 1:56:10 lr: 3.3366887391485616e-05 loss: 0.0721 (0.0852) loss_seg: 0.0767 (0.0918) loss_lansim: 0.1508 (0.1114) loss_contra: 0.0005 (0.0096) time: 2.5714 data: 0.0025 max mem: 31671 Epoch: [14] [2540/5278] eta: 1:55:45 lr: 3.336465792014413e-05 loss: 0.0720 (0.0853) loss_seg: 0.0745 (0.0919) loss_lansim: 0.1524 (0.1116) loss_contra: 0.0005 (0.0096) time: 2.5623 data: 0.0024 max mem: 31671 Epoch: [14] [2550/5278] eta: 1:55:19 lr: 3.336242843224958e-05 loss: 0.0710 (0.0853) loss_seg: 0.0745 (0.0918) loss_lansim: 0.1544 (0.1116) loss_contra: 0.0005 (0.0097) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [14] [2560/5278] eta: 1:54:55 lr: 3.3360198927800657e-05 loss: 0.0720 (0.0852) loss_seg: 0.0745 (0.0918) loss_lansim: 0.1524 (0.1117) loss_contra: 0.0005 (0.0097) time: 2.5663 data: 0.0025 max mem: 31671 Epoch: [14] [2570/5278] eta: 1:54:30 lr: 3.335796940679598e-05 loss: 0.0720 (0.0853) loss_seg: 0.0759 (0.0919) loss_lansim: 0.1495 (0.1118) loss_contra: 0.0005 (0.0097) time: 2.5764 data: 0.0025 max mem: 31671 Epoch: [14] [2580/5278] eta: 1:54:04 lr: 3.33557398692342e-05 loss: 0.0752 (0.0855) loss_seg: 0.0762 (0.0921) loss_lansim: 0.1424 (0.1119) loss_contra: 0.0006 (0.0097) time: 2.5605 data: 0.0025 max mem: 31671 Epoch: [14] [2590/5278] eta: 1:53:39 lr: 3.3353510315113975e-05 loss: 0.0737 (0.0855) loss_seg: 0.0767 (0.0920) loss_lansim: 0.1397 (0.1119) loss_contra: 0.0006 (0.0098) time: 2.5611 data: 0.0025 max mem: 31671 Epoch: [14] [2600/5278] eta: 1:53:13 lr: 3.3351280744433946e-05 loss: 0.0764 (0.0855) loss_seg: 0.0798 (0.0921) loss_lansim: 0.1379 (0.1120) loss_contra: 0.0005 (0.0097) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [14] [2610/5278] eta: 1:52:47 lr: 3.334905115719275e-05 loss: 0.0759 (0.0855) loss_seg: 0.0797 (0.0921) loss_lansim: 0.1356 (0.1121) loss_contra: 0.0005 (0.0097) time: 2.5409 data: 0.0024 max mem: 31671 Epoch: [14] [2620/5278] eta: 1:52:22 lr: 3.334682155338905e-05 loss: 0.0759 (0.0856) loss_seg: 0.0791 (0.0921) loss_lansim: 0.1353 (0.1122) loss_contra: 0.0006 (0.0099) time: 2.5393 data: 0.0024 max mem: 31671 Epoch: [14] [2630/5278] eta: 1:51:55 lr: 3.334459193302148e-05 loss: 0.0759 (0.0855) loss_seg: 0.0791 (0.0921) loss_lansim: 0.1344 (0.1123) loss_contra: 0.0007 (0.0099) time: 2.5241 data: 0.0024 max mem: 31671 Epoch: [14] [2640/5278] eta: 1:51:30 lr: 3.3342362296088705e-05 loss: 0.0800 (0.0855) loss_seg: 0.0826 (0.0921) loss_lansim: 0.1293 (0.1123) loss_contra: 0.0006 (0.0099) time: 2.5239 data: 0.0024 max mem: 31671 Epoch: [14] [2650/5278] eta: 1:51:04 lr: 3.3340132642589345e-05 loss: 0.0814 (0.0856) loss_seg: 0.0846 (0.0922) loss_lansim: 0.1289 (0.1124) loss_contra: 0.0004 (0.0099) time: 2.5236 data: 0.0024 max mem: 31671 Epoch: [14] [2660/5278] eta: 1:50:39 lr: 3.333790297252206e-05 loss: 0.0835 (0.0856) loss_seg: 0.0900 (0.0922) loss_lansim: 0.1273 (0.1124) loss_contra: 0.0002 (0.0099) time: 2.5171 data: 0.0024 max mem: 31671 Epoch: [14] [2670/5278] eta: 1:50:14 lr: 3.3335673285885505e-05 loss: 0.0852 (0.0857) loss_seg: 0.0903 (0.0922) loss_lansim: 0.1282 (0.1125) loss_contra: 0.0002 (0.0099) time: 2.5096 data: 0.0024 max mem: 31671 Epoch: [14] [2680/5278] eta: 1:49:48 lr: 3.33334435826783e-05 loss: 0.0800 (0.0856) loss_seg: 0.0846 (0.0922) loss_lansim: 0.1306 (0.1126) loss_contra: 0.0002 (0.0102) time: 2.5128 data: 0.0024 max mem: 31671 Epoch: [14] [2690/5278] eta: 1:49:21 lr: 3.333121386289912e-05 loss: 0.0802 (0.0856) loss_seg: 0.0863 (0.0922) loss_lansim: 0.1282 (0.1127) loss_contra: 0.0002 (0.0103) time: 2.4998 data: 0.0024 max mem: 31671 Epoch: [14] [2700/5278] eta: 1:48:57 lr: 3.332898412654659e-05 loss: 0.0782 (0.0856) loss_seg: 0.0863 (0.0922) loss_lansim: 0.1282 (0.1127) loss_contra: 0.0002 (0.0103) time: 2.5105 data: 0.0025 max mem: 31671 Epoch: [14] [2710/5278] eta: 1:48:32 lr: 3.332675437361935e-05 loss: 0.0780 (0.0856) loss_seg: 0.0840 (0.0921) loss_lansim: 0.1266 (0.1128) loss_contra: 0.0003 (0.0103) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [14] [2720/5278] eta: 1:48:06 lr: 3.332452460411607e-05 loss: 0.0768 (0.0855) loss_seg: 0.0826 (0.0921) loss_lansim: 0.1229 (0.1128) loss_contra: 0.0003 (0.0102) time: 2.5166 data: 0.0025 max mem: 31671 Epoch: [14] [2730/5278] eta: 1:47:41 lr: 3.332229481803537e-05 loss: 0.0780 (0.0855) loss_seg: 0.0843 (0.0921) loss_lansim: 0.1215 (0.1128) loss_contra: 0.0002 (0.0103) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [14] [2740/5278] eta: 1:47:15 lr: 3.332006501537591e-05 loss: 0.0780 (0.0855) loss_seg: 0.0843 (0.0921) loss_lansim: 0.1203 (0.1127) loss_contra: 0.0003 (0.0105) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [14] [2750/5278] eta: 1:46:51 lr: 3.3317835196136324e-05 loss: 0.0780 (0.0855) loss_seg: 0.0843 (0.0921) loss_lansim: 0.1184 (0.1127) loss_contra: 0.0003 (0.0106) time: 2.5363 data: 0.0025 max mem: 31671 Epoch: [14] [2760/5278] eta: 1:46:25 lr: 3.331560536031525e-05 loss: 0.0746 (0.0856) loss_seg: 0.0806 (0.0922) loss_lansim: 0.1147 (0.1126) loss_contra: 0.0003 (0.0105) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [14] [2770/5278] eta: 1:46:00 lr: 3.331337550791136e-05 loss: 0.0733 (0.0856) loss_seg: 0.0798 (0.0922) loss_lansim: 0.1087 (0.1125) loss_contra: 0.0004 (0.0105) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [14] [2780/5278] eta: 1:45:36 lr: 3.3311145638923264e-05 loss: 0.0733 (0.0855) loss_seg: 0.0806 (0.0921) loss_lansim: 0.1055 (0.1125) loss_contra: 0.0006 (0.0105) time: 2.5564 data: 0.0025 max mem: 31671 Epoch: [14] [2790/5278] eta: 1:45:11 lr: 3.3308915753349616e-05 loss: 0.0724 (0.0855) loss_seg: 0.0799 (0.0921) loss_lansim: 0.1023 (0.1124) loss_contra: 0.0007 (0.0105) time: 2.5728 data: 0.0025 max mem: 31671 Epoch: [14] [2800/5278] eta: 1:44:46 lr: 3.330668585118907e-05 loss: 0.0724 (0.0855) loss_seg: 0.0799 (0.0921) loss_lansim: 0.0997 (0.1124) loss_contra: 0.0006 (0.0105) time: 2.5623 data: 0.0025 max mem: 31671 Epoch: [14] [2810/5278] eta: 1:44:20 lr: 3.3304455932440265e-05 loss: 0.0753 (0.0855) loss_seg: 0.0832 (0.0921) loss_lansim: 0.0984 (0.1123) loss_contra: 0.0006 (0.0104) time: 2.5610 data: 0.0024 max mem: 31671 Epoch: [14] [2820/5278] eta: 1:43:55 lr: 3.330222599710183e-05 loss: 0.0753 (0.0855) loss_seg: 0.0832 (0.0921) loss_lansim: 0.0967 (0.1123) loss_contra: 0.0005 (0.0104) time: 2.5639 data: 0.0024 max mem: 31671 Epoch: [14] [2830/5278] eta: 1:43:29 lr: 3.329999604517243e-05 loss: 0.0724 (0.0856) loss_seg: 0.0799 (0.0921) loss_lansim: 0.0966 (0.1122) loss_contra: 0.0006 (0.0104) time: 2.5588 data: 0.0024 max mem: 31671 Epoch: [14] [2840/5278] eta: 1:43:03 lr: 3.329776607665067e-05 loss: 0.0724 (0.0856) loss_seg: 0.0799 (0.0922) loss_lansim: 0.0971 (0.1122) loss_contra: 0.0005 (0.0104) time: 2.5530 data: 0.0024 max mem: 31671 Epoch: [14] [2850/5278] eta: 1:42:37 lr: 3.329553609153524e-05 loss: 0.0718 (0.0856) loss_seg: 0.0795 (0.0922) loss_lansim: 0.0971 (0.1121) loss_contra: 0.0006 (0.0104) time: 2.5404 data: 0.0024 max mem: 31671 Epoch: [14] [2860/5278] eta: 1:42:12 lr: 3.3293306089824746e-05 loss: 0.0713 (0.0856) loss_seg: 0.0788 (0.0922) loss_lansim: 0.0971 (0.1121) loss_contra: 0.0008 (0.0104) time: 2.5406 data: 0.0024 max mem: 31671 Epoch: [14] [2870/5278] eta: 1:41:47 lr: 3.3291076071517836e-05 loss: 0.0713 (0.0856) loss_seg: 0.0788 (0.0922) loss_lansim: 0.0974 (0.1120) loss_contra: 0.0006 (0.0104) time: 2.5369 data: 0.0024 max mem: 31671 Epoch: [14] [2880/5278] eta: 1:41:22 lr: 3.3288846036613167e-05 loss: 0.0713 (0.0856) loss_seg: 0.0788 (0.0922) loss_lansim: 0.0966 (0.1120) loss_contra: 0.0005 (0.0103) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [14] [2890/5278] eta: 1:40:57 lr: 3.328661598510936e-05 loss: 0.0715 (0.0856) loss_seg: 0.0790 (0.0922) loss_lansim: 0.0965 (0.1119) loss_contra: 0.0004 (0.0103) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [14] [2900/5278] eta: 1:40:31 lr: 3.328438591700507e-05 loss: 0.0713 (0.0857) loss_seg: 0.0758 (0.0923) loss_lansim: 0.0967 (0.1119) loss_contra: 0.0004 (0.0103) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [14] [2910/5278] eta: 1:40:06 lr: 3.328215583229893e-05 loss: 0.0712 (0.0857) loss_seg: 0.0756 (0.0923) loss_lansim: 0.0971 (0.1118) loss_contra: 0.0004 (0.0103) time: 2.5328 data: 0.0024 max mem: 31671 Epoch: [14] [2920/5278] eta: 1:39:42 lr: 3.327992573098958e-05 loss: 0.0679 (0.0856) loss_seg: 0.0714 (0.0922) loss_lansim: 0.0984 (0.1118) loss_contra: 0.0004 (0.0103) time: 2.5402 data: 0.0024 max mem: 31671 Epoch: [14] [2930/5278] eta: 1:39:16 lr: 3.3277695613075665e-05 loss: 0.0694 (0.0856) loss_seg: 0.0740 (0.0922) loss_lansim: 0.0996 (0.1119) loss_contra: 0.0004 (0.0103) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [14] [2940/5278] eta: 1:38:50 lr: 3.327546547855582e-05 loss: 0.0694 (0.0856) loss_seg: 0.0754 (0.0922) loss_lansim: 0.0998 (0.1119) loss_contra: 0.0003 (0.0103) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [14] [2950/5278] eta: 1:38:24 lr: 3.327323532742869e-05 loss: 0.0713 (0.0857) loss_seg: 0.0756 (0.0923) loss_lansim: 0.0998 (0.1118) loss_contra: 0.0002 (0.0103) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [14] [2960/5278] eta: 1:38:00 lr: 3.327100515969292e-05 loss: 0.0766 (0.0858) loss_seg: 0.0813 (0.0924) loss_lansim: 0.0999 (0.1118) loss_contra: 0.0002 (0.0103) time: 2.5556 data: 0.0025 max mem: 31671 Epoch: [14] [2970/5278] eta: 1:37:34 lr: 3.326877497534713e-05 loss: 0.0737 (0.0857) loss_seg: 0.0762 (0.0923) loss_lansim: 0.1003 (0.1118) loss_contra: 0.0002 (0.0103) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [14] [2980/5278] eta: 1:37:09 lr: 3.3266544774389976e-05 loss: 0.0737 (0.0857) loss_seg: 0.0762 (0.0924) loss_lansim: 0.1018 (0.1118) loss_contra: 0.0002 (0.0103) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [14] [2990/5278] eta: 1:36:43 lr: 3.3264314556820084e-05 loss: 0.0739 (0.0858) loss_seg: 0.0811 (0.0924) loss_lansim: 0.1032 (0.1118) loss_contra: 0.0002 (0.0103) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [14] [3000/5278] eta: 1:36:18 lr: 3.326208432263611e-05 loss: 0.0735 (0.0857) loss_seg: 0.0754 (0.0924) loss_lansim: 0.1040 (0.1118) loss_contra: 0.0001 (0.0103) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [14] [3010/5278] eta: 1:35:52 lr: 3.325985407183668e-05 loss: 0.0712 (0.0858) loss_seg: 0.0754 (0.0924) loss_lansim: 0.1043 (0.1117) loss_contra: 0.0001 (0.0103) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [14] [3020/5278] eta: 1:35:27 lr: 3.325762380442043e-05 loss: 0.0739 (0.0857) loss_seg: 0.0788 (0.0924) loss_lansim: 0.1044 (0.1117) loss_contra: 0.0001 (0.0102) time: 2.5238 data: 0.0026 max mem: 31671 Epoch: [14] [3030/5278] eta: 1:35:01 lr: 3.3255393520386e-05 loss: 0.0712 (0.0858) loss_seg: 0.0762 (0.0924) loss_lansim: 0.1040 (0.1117) loss_contra: 0.0001 (0.0102) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [14] [3040/5278] eta: 1:34:36 lr: 3.325316321973204e-05 loss: 0.0712 (0.0857) loss_seg: 0.0747 (0.0924) loss_lansim: 0.1039 (0.1117) loss_contra: 0.0001 (0.0102) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [14] [3050/5278] eta: 1:34:10 lr: 3.3250932902457164e-05 loss: 0.0712 (0.0859) loss_seg: 0.0747 (0.0925) loss_lansim: 0.1034 (0.1117) loss_contra: 0.0001 (0.0101) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [14] [3060/5278] eta: 1:33:45 lr: 3.324870256856004e-05 loss: 0.0658 (0.0858) loss_seg: 0.0726 (0.0924) loss_lansim: 0.1031 (0.1116) loss_contra: 0.0001 (0.0101) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [14] [3070/5278] eta: 1:33:19 lr: 3.324647221803928e-05 loss: 0.0722 (0.0858) loss_seg: 0.0788 (0.0924) loss_lansim: 0.1031 (0.1116) loss_contra: 0.0001 (0.0101) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [14] [3080/5278] eta: 1:32:53 lr: 3.324424185089353e-05 loss: 0.0722 (0.0858) loss_seg: 0.0788 (0.0924) loss_lansim: 0.1014 (0.1115) loss_contra: 0.0000 (0.0101) time: 2.5157 data: 0.0025 max mem: 31671 Epoch: [14] [3090/5278] eta: 1:32:28 lr: 3.324201146712143e-05 loss: 0.0712 (0.0858) loss_seg: 0.0766 (0.0924) loss_lansim: 0.0996 (0.1115) loss_contra: 0.0001 (0.0101) time: 2.5148 data: 0.0025 max mem: 31671 Epoch: [14] [3100/5278] eta: 1:32:03 lr: 3.3239781066721606e-05 loss: 0.0729 (0.0858) loss_seg: 0.0800 (0.0924) loss_lansim: 0.0995 (0.1115) loss_contra: 0.0001 (0.0101) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [14] [3110/5278] eta: 1:31:38 lr: 3.323755064969271e-05 loss: 0.0738 (0.0858) loss_seg: 0.0804 (0.0924) loss_lansim: 0.0996 (0.1115) loss_contra: 0.0001 (0.0100) time: 2.5291 data: 0.0025 max mem: 31671 Epoch: [14] [3120/5278] eta: 1:31:12 lr: 3.3235320216033366e-05 loss: 0.0760 (0.0858) loss_seg: 0.0827 (0.0924) loss_lansim: 0.0996 (0.1114) loss_contra: 0.0001 (0.0100) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [14] [3130/5278] eta: 1:30:47 lr: 3.32330897657422e-05 loss: 0.0760 (0.0858) loss_seg: 0.0811 (0.0924) loss_lansim: 0.0993 (0.1114) loss_contra: 0.0001 (0.0100) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [14] [3140/5278] eta: 1:30:22 lr: 3.3230859298817884e-05 loss: 0.0738 (0.0857) loss_seg: 0.0798 (0.0923) loss_lansim: 0.0996 (0.1114) loss_contra: 0.0001 (0.0099) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [14] [3150/5278] eta: 1:29:56 lr: 3.322862881525902e-05 loss: 0.0725 (0.0857) loss_seg: 0.0761 (0.0923) loss_lansim: 0.1012 (0.1114) loss_contra: 0.0001 (0.0099) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [14] [3160/5278] eta: 1:29:31 lr: 3.322639831506425e-05 loss: 0.0725 (0.0857) loss_seg: 0.0761 (0.0922) loss_lansim: 0.1027 (0.1114) loss_contra: 0.0001 (0.0099) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [14] [3170/5278] eta: 1:29:05 lr: 3.322416779823222e-05 loss: 0.0698 (0.0857) loss_seg: 0.0742 (0.0923) loss_lansim: 0.1028 (0.1113) loss_contra: 0.0001 (0.0099) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [14] [3180/5278] eta: 1:28:40 lr: 3.322193726476155e-05 loss: 0.0698 (0.0856) loss_seg: 0.0742 (0.0923) loss_lansim: 0.1039 (0.1113) loss_contra: 0.0001 (0.0098) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [14] [3190/5278] eta: 1:28:14 lr: 3.3219706714650886e-05 loss: 0.0685 (0.0856) loss_seg: 0.0728 (0.0922) loss_lansim: 0.1039 (0.1113) loss_contra: 0.0001 (0.0098) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [14] [3200/5278] eta: 1:27:49 lr: 3.3217476147898864e-05 loss: 0.0665 (0.0856) loss_seg: 0.0697 (0.0922) loss_lansim: 0.1039 (0.1113) loss_contra: 0.0001 (0.0098) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [14] [3210/5278] eta: 1:27:23 lr: 3.32152455645041e-05 loss: 0.0657 (0.0856) loss_seg: 0.0694 (0.0922) loss_lansim: 0.1042 (0.1113) loss_contra: 0.0001 (0.0098) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [14] [3220/5278] eta: 1:26:58 lr: 3.321301496446525e-05 loss: 0.0657 (0.0856) loss_seg: 0.0694 (0.0922) loss_lansim: 0.1052 (0.1113) loss_contra: 0.0001 (0.0098) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [14] [3230/5278] eta: 1:26:32 lr: 3.3210784347780934e-05 loss: 0.0660 (0.0856) loss_seg: 0.0697 (0.0922) loss_lansim: 0.1060 (0.1112) loss_contra: 0.0001 (0.0097) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [14] [3240/5278] eta: 1:26:07 lr: 3.320855371444979e-05 loss: 0.0660 (0.0858) loss_seg: 0.0714 (0.0924) loss_lansim: 0.1042 (0.1112) loss_contra: 0.0001 (0.0097) time: 2.5186 data: 0.0025 max mem: 31671 Epoch: [14] [3250/5278] eta: 1:25:42 lr: 3.320632306447046e-05 loss: 0.0682 (0.0859) loss_seg: 0.0732 (0.0925) loss_lansim: 0.1038 (0.1112) loss_contra: 0.0001 (0.0097) time: 2.5186 data: 0.0025 max mem: 31671 Epoch: [14] [3260/5278] eta: 1:25:16 lr: 3.320409239784155e-05 loss: 0.0698 (0.0859) loss_seg: 0.0732 (0.0926) loss_lansim: 0.1029 (0.1112) loss_contra: 0.0001 (0.0097) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [14] [3270/5278] eta: 1:24:51 lr: 3.320186171456173e-05 loss: 0.0698 (0.0859) loss_seg: 0.0732 (0.0925) loss_lansim: 0.1029 (0.1111) loss_contra: 0.0001 (0.0097) time: 2.5154 data: 0.0025 max mem: 31671 Epoch: [14] [3280/5278] eta: 1:24:25 lr: 3.3199631014629605e-05 loss: 0.0661 (0.0858) loss_seg: 0.0731 (0.0924) loss_lansim: 0.1026 (0.1111) loss_contra: 0.0001 (0.0097) time: 2.5180 data: 0.0025 max mem: 31671 Epoch: [14] [3290/5278] eta: 1:24:00 lr: 3.319740029804382e-05 loss: 0.0721 (0.0859) loss_seg: 0.0786 (0.0925) loss_lansim: 0.1029 (0.1111) loss_contra: 0.0001 (0.0097) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [14] [3300/5278] eta: 1:23:35 lr: 3.3195169564803005e-05 loss: 0.0740 (0.0859) loss_seg: 0.0813 (0.0925) loss_lansim: 0.1017 (0.1110) loss_contra: 0.0001 (0.0097) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [14] [3310/5278] eta: 1:23:10 lr: 3.319293881490578e-05 loss: 0.0715 (0.0858) loss_seg: 0.0786 (0.0925) loss_lansim: 0.1017 (0.1110) loss_contra: 0.0001 (0.0097) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [14] [3320/5278] eta: 1:22:44 lr: 3.31907080483508e-05 loss: 0.0724 (0.0858) loss_seg: 0.0788 (0.0925) loss_lansim: 0.1003 (0.1110) loss_contra: 0.0002 (0.0096) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [14] [3330/5278] eta: 1:22:19 lr: 3.318847726513669e-05 loss: 0.0726 (0.0858) loss_seg: 0.0801 (0.0925) loss_lansim: 0.0994 (0.1109) loss_contra: 0.0002 (0.0096) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [14] [3340/5278] eta: 1:21:53 lr: 3.3186246465262055e-05 loss: 0.0720 (0.0858) loss_seg: 0.0788 (0.0924) loss_lansim: 0.0999 (0.1109) loss_contra: 0.0002 (0.0096) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [14] [3350/5278] eta: 1:21:28 lr: 3.318401564872556e-05 loss: 0.0682 (0.0858) loss_seg: 0.0755 (0.0924) loss_lansim: 0.0994 (0.1109) loss_contra: 0.0002 (0.0096) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [14] [3360/5278] eta: 1:21:02 lr: 3.318178481552582e-05 loss: 0.0681 (0.0857) loss_seg: 0.0743 (0.0924) loss_lansim: 0.0990 (0.1109) loss_contra: 0.0001 (0.0095) time: 2.5326 data: 0.0024 max mem: 31671 Epoch: [14] [3370/5278] eta: 1:20:37 lr: 3.317955396566147e-05 loss: 0.0672 (0.0857) loss_seg: 0.0734 (0.0923) loss_lansim: 0.0986 (0.1108) loss_contra: 0.0001 (0.0095) time: 2.5383 data: 0.0024 max mem: 31671 Epoch: [14] [3380/5278] eta: 1:20:12 lr: 3.317732309913114e-05 loss: 0.0672 (0.0856) loss_seg: 0.0734 (0.0922) loss_lansim: 0.0992 (0.1108) loss_contra: 0.0001 (0.0095) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [14] [3390/5278] eta: 1:19:47 lr: 3.317509221593346e-05 loss: 0.0663 (0.0855) loss_seg: 0.0727 (0.0922) loss_lansim: 0.0992 (0.1108) loss_contra: 0.0001 (0.0095) time: 2.5405 data: 0.0024 max mem: 31671 Epoch: [14] [3400/5278] eta: 1:19:21 lr: 3.317286131606705e-05 loss: 0.0658 (0.0856) loss_seg: 0.0707 (0.0922) loss_lansim: 0.0994 (0.1107) loss_contra: 0.0001 (0.0095) time: 2.5342 data: 0.0024 max mem: 31671 Epoch: [14] [3410/5278] eta: 1:18:56 lr: 3.317063039953056e-05 loss: 0.0664 (0.0856) loss_seg: 0.0733 (0.0922) loss_lansim: 0.0996 (0.1107) loss_contra: 0.0001 (0.0095) time: 2.5389 data: 0.0024 max mem: 31671 Epoch: [14] [3420/5278] eta: 1:18:31 lr: 3.31683994663226e-05 loss: 0.0664 (0.0855) loss_seg: 0.0731 (0.0922) loss_lansim: 0.0994 (0.1107) loss_contra: 0.0001 (0.0095) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [14] [3430/5278] eta: 1:18:05 lr: 3.316616851644182e-05 loss: 0.0618 (0.0855) loss_seg: 0.0682 (0.0921) loss_lansim: 0.1004 (0.1107) loss_contra: 0.0001 (0.0095) time: 2.5334 data: 0.0024 max mem: 31671 Epoch: [14] [3440/5278] eta: 1:17:40 lr: 3.3163937549886834e-05 loss: 0.0615 (0.0855) loss_seg: 0.0659 (0.0921) loss_lansim: 0.1007 (0.1107) loss_contra: 0.0001 (0.0095) time: 2.5368 data: 0.0024 max mem: 31671 Epoch: [14] [3450/5278] eta: 1:17:14 lr: 3.316170656665627e-05 loss: 0.0615 (0.0854) loss_seg: 0.0676 (0.0921) loss_lansim: 0.1002 (0.1106) loss_contra: 0.0001 (0.0095) time: 2.5383 data: 0.0024 max mem: 31671 Epoch: [14] [3460/5278] eta: 1:16:49 lr: 3.3159475566748774e-05 loss: 0.0615 (0.0854) loss_seg: 0.0676 (0.0920) loss_lansim: 0.1007 (0.1106) loss_contra: 0.0002 (0.0094) time: 2.5424 data: 0.0024 max mem: 31671 Epoch: [14] [3470/5278] eta: 1:16:24 lr: 3.3157244550162945e-05 loss: 0.0620 (0.0853) loss_seg: 0.0684 (0.0920) loss_lansim: 0.1028 (0.1106) loss_contra: 0.0002 (0.0094) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [14] [3480/5278] eta: 1:15:58 lr: 3.315501351689744e-05 loss: 0.0630 (0.0854) loss_seg: 0.0690 (0.0920) loss_lansim: 0.1013 (0.1105) loss_contra: 0.0001 (0.0094) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [14] [3490/5278] eta: 1:15:33 lr: 3.315278246695087e-05 loss: 0.0667 (0.0854) loss_seg: 0.0731 (0.0920) loss_lansim: 0.1021 (0.1105) loss_contra: 0.0002 (0.0095) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [14] [3500/5278] eta: 1:15:08 lr: 3.315055140032187e-05 loss: 0.0667 (0.0854) loss_seg: 0.0731 (0.0920) loss_lansim: 0.1030 (0.1105) loss_contra: 0.0002 (0.0095) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [14] [3510/5278] eta: 1:14:42 lr: 3.314832031700907e-05 loss: 0.0630 (0.0854) loss_seg: 0.0690 (0.0920) loss_lansim: 0.1034 (0.1105) loss_contra: 0.0002 (0.0095) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [14] [3520/5278] eta: 1:14:17 lr: 3.3146089217011096e-05 loss: 0.0626 (0.0853) loss_seg: 0.0682 (0.0920) loss_lansim: 0.1053 (0.1105) loss_contra: 0.0002 (0.0095) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [14] [3530/5278] eta: 1:13:51 lr: 3.314385810032657e-05 loss: 0.0643 (0.0853) loss_seg: 0.0690 (0.0920) loss_lansim: 0.1053 (0.1105) loss_contra: 0.0002 (0.0095) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [14] [3540/5278] eta: 1:13:26 lr: 3.314162696695412e-05 loss: 0.0651 (0.0853) loss_seg: 0.0706 (0.0920) loss_lansim: 0.1053 (0.1105) loss_contra: 0.0002 (0.0094) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [14] [3550/5278] eta: 1:13:01 lr: 3.3139395816892374e-05 loss: 0.0692 (0.0853) loss_seg: 0.0749 (0.0919) loss_lansim: 0.1054 (0.1105) loss_contra: 0.0002 (0.0095) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [14] [3560/5278] eta: 1:12:35 lr: 3.3137164650139976e-05 loss: 0.0729 (0.0853) loss_seg: 0.0765 (0.0919) loss_lansim: 0.1054 (0.1104) loss_contra: 0.0002 (0.0094) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [14] [3570/5278] eta: 1:12:10 lr: 3.313493346669552e-05 loss: 0.0692 (0.0852) loss_seg: 0.0749 (0.0919) loss_lansim: 0.1054 (0.1104) loss_contra: 0.0001 (0.0094) time: 2.5175 data: 0.0025 max mem: 31671 Epoch: [14] [3580/5278] eta: 1:11:44 lr: 3.313270226655765e-05 loss: 0.0678 (0.0853) loss_seg: 0.0728 (0.0919) loss_lansim: 0.1060 (0.1104) loss_contra: 0.0001 (0.0094) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [14] [3590/5278] eta: 1:11:19 lr: 3.3130471049725006e-05 loss: 0.0651 (0.0853) loss_seg: 0.0709 (0.0919) loss_lansim: 0.1053 (0.1104) loss_contra: 0.0001 (0.0094) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [14] [3600/5278] eta: 1:10:53 lr: 3.312823981619618e-05 loss: 0.0651 (0.0853) loss_seg: 0.0709 (0.0919) loss_lansim: 0.1054 (0.1104) loss_contra: 0.0001 (0.0094) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [14] [3610/5278] eta: 1:10:28 lr: 3.312600856596983e-05 loss: 0.0649 (0.0852) loss_seg: 0.0700 (0.0919) loss_lansim: 0.1052 (0.1104) loss_contra: 0.0001 (0.0093) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [14] [3620/5278] eta: 1:10:03 lr: 3.312377729904456e-05 loss: 0.0663 (0.0853) loss_seg: 0.0728 (0.0919) loss_lansim: 0.1052 (0.1104) loss_contra: 0.0001 (0.0093) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [14] [3630/5278] eta: 1:09:38 lr: 3.3121546015419e-05 loss: 0.0658 (0.0852) loss_seg: 0.0715 (0.0919) loss_lansim: 0.1053 (0.1104) loss_contra: 0.0001 (0.0093) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [14] [3640/5278] eta: 1:09:13 lr: 3.311931471509178e-05 loss: 0.0649 (0.0852) loss_seg: 0.0713 (0.0918) loss_lansim: 0.1043 (0.1104) loss_contra: 0.0001 (0.0093) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [14] [3650/5278] eta: 1:08:47 lr: 3.311708339806153e-05 loss: 0.0648 (0.0851) loss_seg: 0.0712 (0.0917) loss_lansim: 0.1060 (0.1104) loss_contra: 0.0001 (0.0092) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [14] [3660/5278] eta: 1:08:22 lr: 3.311485206432686e-05 loss: 0.0642 (0.0851) loss_seg: 0.0700 (0.0917) loss_lansim: 0.1053 (0.1104) loss_contra: 0.0001 (0.0092) time: 2.5483 data: 0.0024 max mem: 31671 Epoch: [14] [3670/5278] eta: 1:07:57 lr: 3.311262071388641e-05 loss: 0.0662 (0.0851) loss_seg: 0.0730 (0.0918) loss_lansim: 0.1060 (0.1104) loss_contra: 0.0001 (0.0092) time: 2.5559 data: 0.0024 max mem: 31671 Epoch: [14] [3680/5278] eta: 1:07:31 lr: 3.311038934673878e-05 loss: 0.0662 (0.0851) loss_seg: 0.0715 (0.0917) loss_lansim: 0.1059 (0.1103) loss_contra: 0.0001 (0.0092) time: 2.5571 data: 0.0024 max mem: 31671 Epoch: [14] [3690/5278] eta: 1:07:06 lr: 3.310815796288261e-05 loss: 0.0664 (0.0851) loss_seg: 0.0730 (0.0917) loss_lansim: 0.1062 (0.1103) loss_contra: 0.0001 (0.0092) time: 2.5594 data: 0.0024 max mem: 31671 Epoch: [14] [3700/5278] eta: 1:06:40 lr: 3.310592656231654e-05 loss: 0.0658 (0.0851) loss_seg: 0.0713 (0.0916) loss_lansim: 0.1062 (0.1103) loss_contra: 0.0001 (0.0091) time: 2.5535 data: 0.0024 max mem: 31671 Epoch: [14] [3710/5278] eta: 1:06:15 lr: 3.310369514503916e-05 loss: 0.0670 (0.0850) loss_seg: 0.0734 (0.0916) loss_lansim: 0.1067 (0.1103) loss_contra: 0.0001 (0.0091) time: 2.5602 data: 0.0024 max mem: 31671 Epoch: [14] [3720/5278] eta: 1:05:50 lr: 3.310146371104912e-05 loss: 0.0648 (0.0850) loss_seg: 0.0685 (0.0915) loss_lansim: 0.1070 (0.1103) loss_contra: 0.0001 (0.0091) time: 2.5558 data: 0.0024 max mem: 31671 Epoch: [14] [3730/5278] eta: 1:05:25 lr: 3.3099232260345027e-05 loss: 0.0670 (0.0851) loss_seg: 0.0712 (0.0918) loss_lansim: 0.1078 (0.1103) loss_contra: 0.0001 (0.0091) time: 2.5512 data: 0.0024 max mem: 31671 Epoch: [14] [3740/5278] eta: 1:05:00 lr: 3.3097000792925504e-05 loss: 0.0687 (0.0851) loss_seg: 0.0740 (0.0917) loss_lansim: 0.1084 (0.1103) loss_contra: 0.0001 (0.0091) time: 2.5505 data: 0.0024 max mem: 31671 Epoch: [14] [3750/5278] eta: 1:04:35 lr: 3.3094769308789184e-05 loss: 0.0695 (0.0851) loss_seg: 0.0753 (0.0917) loss_lansim: 0.1079 (0.1103) loss_contra: 0.0001 (0.0093) time: 2.5583 data: 0.0024 max mem: 31671 Epoch: [14] [3760/5278] eta: 1:04:09 lr: 3.309253780793468e-05 loss: 0.0733 (0.0852) loss_seg: 0.0782 (0.0918) loss_lansim: 0.1080 (0.1103) loss_contra: 0.0001 (0.0093) time: 2.5545 data: 0.0024 max mem: 31671 Epoch: [14] [3770/5278] eta: 1:03:44 lr: 3.309030629036063e-05 loss: 0.0733 (0.0852) loss_seg: 0.0782 (0.0918) loss_lansim: 0.1070 (0.1103) loss_contra: 0.0001 (0.0093) time: 2.5500 data: 0.0024 max mem: 31671 Epoch: [14] [3780/5278] eta: 1:03:19 lr: 3.3088074756065635e-05 loss: 0.0733 (0.0852) loss_seg: 0.0799 (0.0918) loss_lansim: 0.1068 (0.1103) loss_contra: 0.0002 (0.0093) time: 2.5549 data: 0.0024 max mem: 31671 Epoch: [14] [3790/5278] eta: 1:02:53 lr: 3.3085843205048325e-05 loss: 0.0769 (0.0853) loss_seg: 0.0835 (0.0919) loss_lansim: 0.1068 (0.1103) loss_contra: 0.0002 (0.0093) time: 2.5526 data: 0.0024 max mem: 31671 Epoch: [14] [3800/5278] eta: 1:02:28 lr: 3.308361163730733e-05 loss: 0.0775 (0.0853) loss_seg: 0.0850 (0.0919) loss_lansim: 0.1066 (0.1102) loss_contra: 0.0002 (0.0093) time: 2.5588 data: 0.0024 max mem: 31671 Epoch: [14] [3810/5278] eta: 1:02:02 lr: 3.308138005284126e-05 loss: 0.0777 (0.0854) loss_seg: 0.0858 (0.0920) loss_lansim: 0.1057 (0.1102) loss_contra: 0.0003 (0.0093) time: 2.5456 data: 0.0024 max mem: 31671 Epoch: [14] [3820/5278] eta: 1:01:37 lr: 3.307914845164874e-05 loss: 0.0835 (0.0854) loss_seg: 0.0900 (0.0920) loss_lansim: 0.1041 (0.1102) loss_contra: 0.0004 (0.0093) time: 2.5421 data: 0.0024 max mem: 31671 Epoch: [14] [3830/5278] eta: 1:01:11 lr: 3.307691683372839e-05 loss: 0.0842 (0.0854) loss_seg: 0.0900 (0.0921) loss_lansim: 0.1038 (0.1102) loss_contra: 0.0004 (0.0093) time: 2.5332 data: 0.0024 max mem: 31671 Epoch: [14] [3840/5278] eta: 1:00:45 lr: 3.307468519907883e-05 loss: 0.0880 (0.0855) loss_seg: 0.0925 (0.0921) loss_lansim: 0.1038 (0.1102) loss_contra: 0.0004 (0.0093) time: 2.5150 data: 0.0024 max mem: 31671 Epoch: [14] [3850/5278] eta: 1:00:20 lr: 3.307245354769868e-05 loss: 0.0829 (0.0854) loss_seg: 0.0892 (0.0921) loss_lansim: 0.1038 (0.1102) loss_contra: 0.0003 (0.0093) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [14] [3860/5278] eta: 0:59:55 lr: 3.307022187958656e-05 loss: 0.0779 (0.0854) loss_seg: 0.0863 (0.0921) loss_lansim: 0.1046 (0.1102) loss_contra: 0.0003 (0.0093) time: 2.5150 data: 0.0024 max mem: 31671 Epoch: [14] [3870/5278] eta: 0:59:30 lr: 3.3067990194741096e-05 loss: 0.0756 (0.0854) loss_seg: 0.0834 (0.0920) loss_lansim: 0.1049 (0.1102) loss_contra: 0.0003 (0.0092) time: 2.5172 data: 0.0024 max mem: 31671 Epoch: [14] [3880/5278] eta: 0:59:04 lr: 3.30657584931609e-05 loss: 0.0756 (0.0854) loss_seg: 0.0834 (0.0920) loss_lansim: 0.1061 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [14] [3890/5278] eta: 0:58:39 lr: 3.30635267748446e-05 loss: 0.0745 (0.0853) loss_seg: 0.0803 (0.0920) loss_lansim: 0.1052 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [14] [3900/5278] eta: 0:58:14 lr: 3.3061295039790804e-05 loss: 0.0729 (0.0854) loss_seg: 0.0796 (0.0921) loss_lansim: 0.1057 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5299 data: 0.0024 max mem: 31671 Epoch: [14] [3910/5278] eta: 0:57:48 lr: 3.305906328799814e-05 loss: 0.0756 (0.0855) loss_seg: 0.0824 (0.0921) loss_lansim: 0.1064 (0.1102) loss_contra: 0.0002 (0.0091) time: 2.5331 data: 0.0024 max mem: 31671 Epoch: [14] [3920/5278] eta: 0:57:23 lr: 3.305683151946522e-05 loss: 0.0751 (0.0855) loss_seg: 0.0804 (0.0922) loss_lansim: 0.1073 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [14] [3930/5278] eta: 0:56:57 lr: 3.305459973419068e-05 loss: 0.0728 (0.0855) loss_seg: 0.0796 (0.0922) loss_lansim: 0.1078 (0.1102) loss_contra: 0.0002 (0.0091) time: 2.5250 data: 0.0024 max mem: 31671 Epoch: [14] [3940/5278] eta: 0:56:32 lr: 3.305236793217311e-05 loss: 0.0726 (0.0856) loss_seg: 0.0771 (0.0923) loss_lansim: 0.1080 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [14] [3950/5278] eta: 0:56:07 lr: 3.305013611341115e-05 loss: 0.0758 (0.0857) loss_seg: 0.0818 (0.0923) loss_lansim: 0.1081 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5344 data: 0.0024 max mem: 31671 Epoch: [14] [3960/5278] eta: 0:55:41 lr: 3.3047904277903416e-05 loss: 0.0786 (0.0856) loss_seg: 0.0819 (0.0923) loss_lansim: 0.1083 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5383 data: 0.0024 max mem: 31671 Epoch: [14] [3970/5278] eta: 0:55:16 lr: 3.304567242564851e-05 loss: 0.0786 (0.0856) loss_seg: 0.0819 (0.0922) loss_lansim: 0.1084 (0.1102) loss_contra: 0.0002 (0.0091) time: 2.5320 data: 0.0024 max mem: 31671 Epoch: [14] [3980/5278] eta: 0:54:51 lr: 3.304344055664507e-05 loss: 0.0786 (0.0856) loss_seg: 0.0819 (0.0922) loss_lansim: 0.1089 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5408 data: 0.0024 max mem: 31671 Epoch: [14] [3990/5278] eta: 0:54:26 lr: 3.30412086708917e-05 loss: 0.0786 (0.0856) loss_seg: 0.0819 (0.0922) loss_lansim: 0.1102 (0.1102) loss_contra: 0.0002 (0.0092) time: 2.5436 data: 0.0024 max mem: 31671 Epoch: [14] [4000/5278] eta: 0:54:01 lr: 3.303897676838702e-05 loss: 0.0774 (0.0856) loss_seg: 0.0819 (0.0922) loss_lansim: 0.1103 (0.1102) loss_contra: 0.0002 (0.0091) time: 2.5388 data: 0.0024 max mem: 31671 Epoch: [14] [4010/5278] eta: 0:53:35 lr: 3.3036744849129654e-05 loss: 0.0744 (0.0857) loss_seg: 0.0804 (0.0923) loss_lansim: 0.1103 (0.1102) loss_contra: 0.0002 (0.0091) time: 2.5451 data: 0.0024 max mem: 31671 Epoch: [14] [4020/5278] eta: 0:53:10 lr: 3.3034512913118203e-05 loss: 0.0760 (0.0857) loss_seg: 0.0818 (0.0923) loss_lansim: 0.1106 (0.1102) loss_contra: 0.0001 (0.0091) time: 2.5495 data: 0.0024 max mem: 31671 Epoch: [14] [4030/5278] eta: 0:52:44 lr: 3.3032280960351296e-05 loss: 0.0768 (0.0857) loss_seg: 0.0819 (0.0923) loss_lansim: 0.1108 (0.1102) loss_contra: 0.0001 (0.0091) time: 2.5548 data: 0.0024 max mem: 31671 Epoch: [14] [4040/5278] eta: 0:52:19 lr: 3.3030048990827556e-05 loss: 0.0774 (0.0857) loss_seg: 0.0829 (0.0924) loss_lansim: 0.1113 (0.1103) loss_contra: 0.0002 (0.0091) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [14] [4050/5278] eta: 0:51:54 lr: 3.302781700454558e-05 loss: 0.0752 (0.0857) loss_seg: 0.0810 (0.0923) loss_lansim: 0.1117 (0.1103) loss_contra: 0.0003 (0.0091) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [14] [4060/5278] eta: 0:51:28 lr: 3.3025585001504e-05 loss: 0.0751 (0.0858) loss_seg: 0.0810 (0.0924) loss_lansim: 0.1120 (0.1103) loss_contra: 0.0003 (0.0091) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [14] [4070/5278] eta: 0:51:03 lr: 3.3023352981701416e-05 loss: 0.0768 (0.0858) loss_seg: 0.0827 (0.0924) loss_lansim: 0.1120 (0.1103) loss_contra: 0.0002 (0.0091) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [14] [4080/5278] eta: 0:50:37 lr: 3.3021120945136455e-05 loss: 0.0752 (0.0858) loss_seg: 0.0820 (0.0924) loss_lansim: 0.1121 (0.1103) loss_contra: 0.0002 (0.0091) time: 2.5268 data: 0.0025 max mem: 31671 Epoch: [14] [4090/5278] eta: 0:50:12 lr: 3.301888889180774e-05 loss: 0.0751 (0.0857) loss_seg: 0.0820 (0.0924) loss_lansim: 0.1127 (0.1103) loss_contra: 0.0002 (0.0090) time: 2.5112 data: 0.0025 max mem: 31671 Epoch: [14] [4100/5278] eta: 0:49:46 lr: 3.3016656821713863e-05 loss: 0.0768 (0.0858) loss_seg: 0.0829 (0.0924) loss_lansim: 0.1127 (0.1103) loss_contra: 0.0002 (0.0090) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [14] [4110/5278] eta: 0:49:21 lr: 3.301442473485346e-05 loss: 0.0752 (0.0858) loss_seg: 0.0820 (0.0924) loss_lansim: 0.1127 (0.1103) loss_contra: 0.0002 (0.0090) time: 2.5088 data: 0.0025 max mem: 31671 Epoch: [14] [4120/5278] eta: 0:48:56 lr: 3.3012192631225134e-05 loss: 0.0764 (0.0858) loss_seg: 0.0844 (0.0925) loss_lansim: 0.1127 (0.1103) loss_contra: 0.0002 (0.0090) time: 2.5128 data: 0.0025 max mem: 31671 Epoch: [14] [4130/5278] eta: 0:48:30 lr: 3.30099605108275e-05 loss: 0.0744 (0.0858) loss_seg: 0.0806 (0.0925) loss_lansim: 0.1127 (0.1103) loss_contra: 0.0002 (0.0090) time: 2.5128 data: 0.0025 max mem: 31671 Epoch: [14] [4140/5278] eta: 0:48:05 lr: 3.3007728373659175e-05 loss: 0.0712 (0.0858) loss_seg: 0.0753 (0.0924) loss_lansim: 0.1120 (0.1103) loss_contra: 0.0002 (0.0090) time: 2.5207 data: 0.0024 max mem: 31671 Epoch: [14] [4150/5278] eta: 0:47:40 lr: 3.300549621971877e-05 loss: 0.0712 (0.0858) loss_seg: 0.0760 (0.0925) loss_lansim: 0.1120 (0.1103) loss_contra: 0.0002 (0.0090) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [14] [4160/5278] eta: 0:47:14 lr: 3.30032640490049e-05 loss: 0.0724 (0.0859) loss_seg: 0.0777 (0.0926) loss_lansim: 0.1128 (0.1103) loss_contra: 0.0001 (0.0089) time: 2.5169 data: 0.0024 max mem: 31671 Epoch: [14] [4170/5278] eta: 0:46:49 lr: 3.3001031861516183e-05 loss: 0.0724 (0.0859) loss_seg: 0.0777 (0.0926) loss_lansim: 0.1112 (0.1103) loss_contra: 0.0001 (0.0089) time: 2.5175 data: 0.0025 max mem: 31671 Epoch: [14] [4180/5278] eta: 0:46:23 lr: 3.299879965725123e-05 loss: 0.0734 (0.0859) loss_seg: 0.0785 (0.0926) loss_lansim: 0.1107 (0.1103) loss_contra: 0.0002 (0.0090) time: 2.5191 data: 0.0024 max mem: 31671 Epoch: [14] [4190/5278] eta: 0:45:58 lr: 3.299656743620865e-05 loss: 0.0790 (0.0859) loss_seg: 0.0841 (0.0926) loss_lansim: 0.1107 (0.1103) loss_contra: 0.0002 (0.0089) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [14] [4200/5278] eta: 0:45:33 lr: 3.2994335198387055e-05 loss: 0.0796 (0.0860) loss_seg: 0.0844 (0.0926) loss_lansim: 0.1111 (0.1104) loss_contra: 0.0001 (0.0089) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [14] [4210/5278] eta: 0:45:07 lr: 3.299210294378506e-05 loss: 0.0790 (0.0859) loss_seg: 0.0841 (0.0926) loss_lansim: 0.1109 (0.1103) loss_contra: 0.0001 (0.0089) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [14] [4220/5278] eta: 0:44:42 lr: 3.298987067240128e-05 loss: 0.0724 (0.0859) loss_seg: 0.0785 (0.0926) loss_lansim: 0.1109 (0.1104) loss_contra: 0.0001 (0.0089) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [14] [4230/5278] eta: 0:44:17 lr: 3.298763838423432e-05 loss: 0.0757 (0.0859) loss_seg: 0.0801 (0.0926) loss_lansim: 0.1109 (0.1104) loss_contra: 0.0001 (0.0089) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [14] [4240/5278] eta: 0:43:51 lr: 3.2985406079282806e-05 loss: 0.0790 (0.0859) loss_seg: 0.0857 (0.0926) loss_lansim: 0.1105 (0.1104) loss_contra: 0.0001 (0.0089) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [14] [4250/5278] eta: 0:43:26 lr: 3.298317375754534e-05 loss: 0.0790 (0.0859) loss_seg: 0.0857 (0.0926) loss_lansim: 0.1096 (0.1103) loss_contra: 0.0001 (0.0089) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [14] [4260/5278] eta: 0:43:01 lr: 3.298094141902052e-05 loss: 0.0776 (0.0859) loss_seg: 0.0834 (0.0926) loss_lansim: 0.1088 (0.1103) loss_contra: 0.0001 (0.0089) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [14] [4270/5278] eta: 0:42:35 lr: 3.297870906370698e-05 loss: 0.0744 (0.0859) loss_seg: 0.0813 (0.0926) loss_lansim: 0.1088 (0.1103) loss_contra: 0.0001 (0.0088) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [14] [4280/5278] eta: 0:42:10 lr: 3.297647669160332e-05 loss: 0.0709 (0.0859) loss_seg: 0.0770 (0.0926) loss_lansim: 0.1094 (0.1103) loss_contra: 0.0001 (0.0088) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [14] [4290/5278] eta: 0:41:45 lr: 3.2974244302708156e-05 loss: 0.0698 (0.0859) loss_seg: 0.0765 (0.0926) loss_lansim: 0.1094 (0.1103) loss_contra: 0.0001 (0.0088) time: 2.5467 data: 0.0025 max mem: 31671 Epoch: [14] [4300/5278] eta: 0:41:19 lr: 3.29720118970201e-05 loss: 0.0681 (0.0859) loss_seg: 0.0753 (0.0925) loss_lansim: 0.1084 (0.1103) loss_contra: 0.0001 (0.0088) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [14] [4310/5278] eta: 0:40:54 lr: 3.2969779474537754e-05 loss: 0.0683 (0.0858) loss_seg: 0.0753 (0.0925) loss_lansim: 0.1084 (0.1103) loss_contra: 0.0001 (0.0088) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [14] [4320/5278] eta: 0:40:29 lr: 3.2967547035259726e-05 loss: 0.0698 (0.0859) loss_seg: 0.0765 (0.0925) loss_lansim: 0.1076 (0.1103) loss_contra: 0.0001 (0.0088) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [14] [4330/5278] eta: 0:40:03 lr: 3.296531457918464e-05 loss: 0.0700 (0.0859) loss_seg: 0.0765 (0.0925) loss_lansim: 0.1098 (0.1103) loss_contra: 0.0001 (0.0088) time: 2.5404 data: 0.0025 max mem: 31671 Epoch: [14] [4340/5278] eta: 0:39:38 lr: 3.2963082106311085e-05 loss: 0.0702 (0.0859) loss_seg: 0.0773 (0.0925) loss_lansim: 0.1098 (0.1103) loss_contra: 0.0001 (0.0088) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [14] [4350/5278] eta: 0:39:12 lr: 3.2960849616637694e-05 loss: 0.0700 (0.0859) loss_seg: 0.0754 (0.0925) loss_lansim: 0.1100 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [14] [4360/5278] eta: 0:38:47 lr: 3.2958617110163065e-05 loss: 0.0700 (0.0858) loss_seg: 0.0753 (0.0925) loss_lansim: 0.1099 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [14] [4370/5278] eta: 0:38:22 lr: 3.29563845868858e-05 loss: 0.0700 (0.0859) loss_seg: 0.0749 (0.0925) loss_lansim: 0.1102 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [14] [4380/5278] eta: 0:37:57 lr: 3.2954152046804526e-05 loss: 0.0702 (0.0859) loss_seg: 0.0750 (0.0926) loss_lansim: 0.1104 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [14] [4390/5278] eta: 0:37:31 lr: 3.295191948991784e-05 loss: 0.0680 (0.0859) loss_seg: 0.0732 (0.0926) loss_lansim: 0.1104 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [14] [4400/5278] eta: 0:37:06 lr: 3.294968691622434e-05 loss: 0.0700 (0.0859) loss_seg: 0.0763 (0.0926) loss_lansim: 0.1111 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5463 data: 0.0024 max mem: 31671 Epoch: [14] [4410/5278] eta: 0:36:40 lr: 3.2947454325722654e-05 loss: 0.0702 (0.0860) loss_seg: 0.0768 (0.0927) loss_lansim: 0.1111 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5419 data: 0.0024 max mem: 31671 Epoch: [14] [4420/5278] eta: 0:36:15 lr: 3.2945221718411375e-05 loss: 0.0702 (0.0860) loss_seg: 0.0768 (0.0927) loss_lansim: 0.1111 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5325 data: 0.0024 max mem: 31671 Epoch: [14] [4430/5278] eta: 0:35:50 lr: 3.294298909428912e-05 loss: 0.0702 (0.0860) loss_seg: 0.0764 (0.0926) loss_lansim: 0.1111 (0.1104) loss_contra: 0.0001 (0.0087) time: 2.5334 data: 0.0024 max mem: 31671 Epoch: [14] [4440/5278] eta: 0:35:24 lr: 3.294075645335449e-05 loss: 0.0681 (0.0860) loss_seg: 0.0734 (0.0926) loss_lansim: 0.1112 (0.1104) loss_contra: 0.0001 (0.0091) time: 2.5351 data: 0.0023 max mem: 31671 Epoch: [14] [4450/5278] eta: 0:34:59 lr: 3.2938523795606093e-05 loss: 0.0702 (0.0860) loss_seg: 0.0764 (0.0926) loss_lansim: 0.1123 (0.1104) loss_contra: 0.0002 (0.0091) time: 2.5326 data: 0.0023 max mem: 31671 Epoch: [14] [4460/5278] eta: 0:34:33 lr: 3.2936291121042554e-05 loss: 0.0706 (0.0860) loss_seg: 0.0768 (0.0926) loss_lansim: 0.1134 (0.1104) loss_contra: 0.0003 (0.0092) time: 2.5280 data: 0.0023 max mem: 31671 Epoch: [14] [4470/5278] eta: 0:34:08 lr: 3.293405842966245e-05 loss: 0.0757 (0.0860) loss_seg: 0.0777 (0.0927) loss_lansim: 0.1137 (0.1105) loss_contra: 0.0003 (0.0093) time: 2.5209 data: 0.0023 max mem: 31671 Epoch: [14] [4480/5278] eta: 0:33:43 lr: 3.293182572146441e-05 loss: 0.0809 (0.0861) loss_seg: 0.0852 (0.0928) loss_lansim: 0.1137 (0.1105) loss_contra: 0.0004 (0.0093) time: 2.5092 data: 0.0023 max mem: 31671 Epoch: [14] [4490/5278] eta: 0:33:17 lr: 3.292959299644702e-05 loss: 0.0829 (0.0861) loss_seg: 0.0876 (0.0928) loss_lansim: 0.1132 (0.1105) loss_contra: 0.0003 (0.0093) time: 2.5043 data: 0.0023 max mem: 31671 Epoch: [14] [4500/5278] eta: 0:32:52 lr: 3.292736025460891e-05 loss: 0.0821 (0.0861) loss_seg: 0.0852 (0.0928) loss_lansim: 0.1135 (0.1105) loss_contra: 0.0004 (0.0093) time: 2.5129 data: 0.0023 max mem: 31671 Epoch: [14] [4510/5278] eta: 0:32:27 lr: 3.2925127495948675e-05 loss: 0.0821 (0.0861) loss_seg: 0.0852 (0.0928) loss_lansim: 0.1132 (0.1105) loss_contra: 0.0004 (0.0094) time: 2.5220 data: 0.0023 max mem: 31671 Epoch: [14] [4520/5278] eta: 0:32:01 lr: 3.292289472046492e-05 loss: 0.0825 (0.0862) loss_seg: 0.0853 (0.0928) loss_lansim: 0.1134 (0.1105) loss_contra: 0.0004 (0.0094) time: 2.5298 data: 0.0024 max mem: 31671 Epoch: [14] [4530/5278] eta: 0:31:36 lr: 3.2920661928156245e-05 loss: 0.0829 (0.0862) loss_seg: 0.0896 (0.0929) loss_lansim: 0.1142 (0.1106) loss_contra: 0.0004 (0.0094) time: 2.5298 data: 0.0024 max mem: 31671 Epoch: [14] [4540/5278] eta: 0:31:11 lr: 3.291842911902127e-05 loss: 0.0833 (0.0862) loss_seg: 0.0906 (0.0929) loss_lansim: 0.1134 (0.1105) loss_contra: 0.0003 (0.0095) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [14] [4550/5278] eta: 0:30:45 lr: 3.291619629305858e-05 loss: 0.0826 (0.0862) loss_seg: 0.0896 (0.0929) loss_lansim: 0.1134 (0.1106) loss_contra: 0.0002 (0.0095) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [14] [4560/5278] eta: 0:30:20 lr: 3.291396345026679e-05 loss: 0.0839 (0.0863) loss_seg: 0.0907 (0.0929) loss_lansim: 0.1142 (0.1106) loss_contra: 0.0002 (0.0094) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [14] [4570/5278] eta: 0:29:55 lr: 3.291173059064451e-05 loss: 0.0826 (0.0863) loss_seg: 0.0855 (0.0930) loss_lansim: 0.1132 (0.1106) loss_contra: 0.0002 (0.0094) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [14] [4580/5278] eta: 0:29:29 lr: 3.290949771419034e-05 loss: 0.0825 (0.0864) loss_seg: 0.0845 (0.0931) loss_lansim: 0.1135 (0.1106) loss_contra: 0.0002 (0.0094) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [14] [4590/5278] eta: 0:29:04 lr: 3.290726482090289e-05 loss: 0.0824 (0.0864) loss_seg: 0.0834 (0.0931) loss_lansim: 0.1147 (0.1106) loss_contra: 0.0003 (0.0094) time: 2.5487 data: 0.0025 max mem: 31671 Epoch: [14] [4600/5278] eta: 0:28:38 lr: 3.290503191078075e-05 loss: 0.0824 (0.0864) loss_seg: 0.0844 (0.0931) loss_lansim: 0.1145 (0.1106) loss_contra: 0.0003 (0.0094) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [14] [4610/5278] eta: 0:28:13 lr: 3.290279898382254e-05 loss: 0.0821 (0.0864) loss_seg: 0.0826 (0.0931) loss_lansim: 0.1145 (0.1106) loss_contra: 0.0003 (0.0094) time: 2.5334 data: 0.0025 max mem: 31671 Epoch: [14] [4620/5278] eta: 0:27:48 lr: 3.2900566040026855e-05 loss: 0.0731 (0.0863) loss_seg: 0.0777 (0.0930) loss_lansim: 0.1142 (0.1106) loss_contra: 0.0003 (0.0094) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [14] [4630/5278] eta: 0:27:22 lr: 3.289833307939228e-05 loss: 0.0697 (0.0863) loss_seg: 0.0743 (0.0930) loss_lansim: 0.1132 (0.1107) loss_contra: 0.0003 (0.0095) time: 2.5260 data: 0.0025 max mem: 31671 Epoch: [14] [4640/5278] eta: 0:26:57 lr: 3.289610010191746e-05 loss: 0.0742 (0.0863) loss_seg: 0.0777 (0.0929) loss_lansim: 0.1132 (0.1107) loss_contra: 0.0003 (0.0095) time: 2.5199 data: 0.0024 max mem: 31671 Epoch: [14] [4650/5278] eta: 0:26:31 lr: 3.289386710760097e-05 loss: 0.0728 (0.0862) loss_seg: 0.0752 (0.0929) loss_lansim: 0.1133 (0.1107) loss_contra: 0.0004 (0.0095) time: 2.5164 data: 0.0024 max mem: 31671 Epoch: [14] [4660/5278] eta: 0:26:06 lr: 3.289163409644141e-05 loss: 0.0702 (0.0863) loss_seg: 0.0752 (0.0929) loss_lansim: 0.1132 (0.1107) loss_contra: 0.0005 (0.0096) time: 2.5113 data: 0.0024 max mem: 31671 Epoch: [14] [4670/5278] eta: 0:25:41 lr: 3.288940106843739e-05 loss: 0.0697 (0.0862) loss_seg: 0.0751 (0.0929) loss_lansim: 0.1138 (0.1107) loss_contra: 0.0004 (0.0096) time: 2.5128 data: 0.0024 max mem: 31671 Epoch: [14] [4680/5278] eta: 0:25:16 lr: 3.2887168023587514e-05 loss: 0.0697 (0.0862) loss_seg: 0.0751 (0.0929) loss_lansim: 0.1132 (0.1107) loss_contra: 0.0005 (0.0095) time: 2.5199 data: 0.0024 max mem: 31671 Epoch: [14] [4690/5278] eta: 0:24:50 lr: 3.288493496189038e-05 loss: 0.0702 (0.0862) loss_seg: 0.0738 (0.0929) loss_lansim: 0.1132 (0.1107) loss_contra: 0.0005 (0.0096) time: 2.5167 data: 0.0024 max mem: 31671 Epoch: [14] [4700/5278] eta: 0:24:25 lr: 3.28827018833446e-05 loss: 0.0731 (0.0863) loss_seg: 0.0753 (0.0929) loss_lansim: 0.1138 (0.1107) loss_contra: 0.0004 (0.0095) time: 2.5207 data: 0.0024 max mem: 31671 Epoch: [14] [4710/5278] eta: 0:23:59 lr: 3.288046878794875e-05 loss: 0.0742 (0.0863) loss_seg: 0.0769 (0.0929) loss_lansim: 0.1133 (0.1107) loss_contra: 0.0004 (0.0095) time: 2.5213 data: 0.0024 max mem: 31671 Epoch: [14] [4720/5278] eta: 0:23:34 lr: 3.287823567570146e-05 loss: 0.0746 (0.0862) loss_seg: 0.0817 (0.0929) loss_lansim: 0.1134 (0.1107) loss_contra: 0.0004 (0.0095) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [14] [4730/5278] eta: 0:23:09 lr: 3.287600254660132e-05 loss: 0.0746 (0.0862) loss_seg: 0.0817 (0.0929) loss_lansim: 0.1138 (0.1108) loss_contra: 0.0002 (0.0095) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [14] [4740/5278] eta: 0:22:43 lr: 3.287376940064693e-05 loss: 0.0744 (0.0862) loss_seg: 0.0806 (0.0929) loss_lansim: 0.1150 (0.1108) loss_contra: 0.0002 (0.0096) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [14] [4750/5278] eta: 0:22:18 lr: 3.2871536237836894e-05 loss: 0.0751 (0.0863) loss_seg: 0.0830 (0.0930) loss_lansim: 0.1150 (0.1108) loss_contra: 0.0002 (0.0096) time: 2.5452 data: 0.0025 max mem: 31671 Epoch: [14] [4760/5278] eta: 0:21:53 lr: 3.286930305816979e-05 loss: 0.0751 (0.0863) loss_seg: 0.0829 (0.0930) loss_lansim: 0.1150 (0.1108) loss_contra: 0.0002 (0.0096) time: 2.5504 data: 0.0025 max mem: 31671 Epoch: [14] [4770/5278] eta: 0:21:27 lr: 3.286706986164426e-05 loss: 0.0755 (0.0863) loss_seg: 0.0833 (0.0930) loss_lansim: 0.1157 (0.1109) loss_contra: 0.0002 (0.0096) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [14] [4780/5278] eta: 0:21:02 lr: 3.2864836648258874e-05 loss: 0.0770 (0.0863) loss_seg: 0.0833 (0.0930) loss_lansim: 0.1161 (0.1109) loss_contra: 0.0002 (0.0096) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [14] [4790/5278] eta: 0:20:37 lr: 3.286260341801223e-05 loss: 0.0755 (0.0863) loss_seg: 0.0830 (0.0930) loss_lansim: 0.1179 (0.1109) loss_contra: 0.0002 (0.0096) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [14] [4800/5278] eta: 0:20:11 lr: 3.286037017090296e-05 loss: 0.0688 (0.0863) loss_seg: 0.0758 (0.0929) loss_lansim: 0.1173 (0.1109) loss_contra: 0.0002 (0.0096) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [14] [4810/5278] eta: 0:19:46 lr: 3.285813690692962e-05 loss: 0.0686 (0.0863) loss_seg: 0.0755 (0.0929) loss_lansim: 0.1191 (0.1109) loss_contra: 0.0002 (0.0096) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [14] [4820/5278] eta: 0:19:20 lr: 3.2855903626090833e-05 loss: 0.0688 (0.0863) loss_seg: 0.0750 (0.0930) loss_lansim: 0.1198 (0.1110) loss_contra: 0.0001 (0.0095) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [14] [4830/5278] eta: 0:18:55 lr: 3.28536703283852e-05 loss: 0.0690 (0.0863) loss_seg: 0.0750 (0.0929) loss_lansim: 0.1194 (0.1110) loss_contra: 0.0002 (0.0095) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [14] [4840/5278] eta: 0:18:30 lr: 3.2851437013811296e-05 loss: 0.0690 (0.0863) loss_seg: 0.0750 (0.0930) loss_lansim: 0.1180 (0.1110) loss_contra: 0.0002 (0.0095) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [14] [4850/5278] eta: 0:18:04 lr: 3.2849203682367756e-05 loss: 0.0690 (0.0863) loss_seg: 0.0744 (0.0929) loss_lansim: 0.1179 (0.1110) loss_contra: 0.0002 (0.0095) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [14] [4860/5278] eta: 0:17:39 lr: 3.284697033405315e-05 loss: 0.0692 (0.0863) loss_seg: 0.0750 (0.0930) loss_lansim: 0.1171 (0.1110) loss_contra: 0.0002 (0.0095) time: 2.5205 data: 0.0026 max mem: 31671 Epoch: [14] [4870/5278] eta: 0:17:14 lr: 3.284473696886609e-05 loss: 0.0748 (0.0864) loss_seg: 0.0757 (0.0931) loss_lansim: 0.1175 (0.1110) loss_contra: 0.0002 (0.0095) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [14] [4880/5278] eta: 0:16:48 lr: 3.284250358680517e-05 loss: 0.0692 (0.0864) loss_seg: 0.0750 (0.0930) loss_lansim: 0.1173 (0.1110) loss_contra: 0.0002 (0.0095) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [14] [4890/5278] eta: 0:16:23 lr: 3.284027018786898e-05 loss: 0.0692 (0.0864) loss_seg: 0.0750 (0.0930) loss_lansim: 0.1170 (0.1111) loss_contra: 0.0002 (0.0095) time: 2.5239 data: 0.0025 max mem: 31671 Epoch: [14] [4900/5278] eta: 0:15:58 lr: 3.283803677205613e-05 loss: 0.0741 (0.0863) loss_seg: 0.0755 (0.0930) loss_lansim: 0.1166 (0.1111) loss_contra: 0.0002 (0.0095) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [14] [4910/5278] eta: 0:15:32 lr: 3.283580333936521e-05 loss: 0.0741 (0.0863) loss_seg: 0.0755 (0.0930) loss_lansim: 0.1153 (0.1111) loss_contra: 0.0003 (0.0096) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [14] [4920/5278] eta: 0:15:07 lr: 3.2833569889794815e-05 loss: 0.0748 (0.0864) loss_seg: 0.0757 (0.0930) loss_lansim: 0.1153 (0.1111) loss_contra: 0.0003 (0.0096) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [14] [4930/5278] eta: 0:14:42 lr: 3.283133642334355e-05 loss: 0.0756 (0.0864) loss_seg: 0.0762 (0.0931) loss_lansim: 0.1166 (0.1111) loss_contra: 0.0002 (0.0095) time: 2.5268 data: 0.0024 max mem: 31671 Epoch: [14] [4940/5278] eta: 0:14:16 lr: 3.282910294001e-05 loss: 0.0741 (0.0864) loss_seg: 0.0757 (0.0930) loss_lansim: 0.1191 (0.1111) loss_contra: 0.0002 (0.0096) time: 2.5272 data: 0.0024 max mem: 31671 Epoch: [14] [4950/5278] eta: 0:13:51 lr: 3.2826869439792765e-05 loss: 0.0741 (0.0864) loss_seg: 0.0757 (0.0931) loss_lansim: 0.1166 (0.1111) loss_contra: 0.0001 (0.0096) time: 2.5279 data: 0.0024 max mem: 31671 Epoch: [14] [4960/5278] eta: 0:13:26 lr: 3.282463592269045e-05 loss: 0.0741 (0.0864) loss_seg: 0.0762 (0.0931) loss_lansim: 0.1191 (0.1111) loss_contra: 0.0001 (0.0096) time: 2.5342 data: 0.0024 max mem: 31671 Epoch: [14] [4970/5278] eta: 0:13:00 lr: 3.2822402388701635e-05 loss: 0.0733 (0.0864) loss_seg: 0.0751 (0.0931) loss_lansim: 0.1177 (0.1112) loss_contra: 0.0001 (0.0096) time: 2.5303 data: 0.0024 max mem: 31671 Epoch: [14] [4980/5278] eta: 0:12:35 lr: 3.2820168837824934e-05 loss: 0.0741 (0.0864) loss_seg: 0.0752 (0.0931) loss_lansim: 0.1197 (0.1112) loss_contra: 0.0001 (0.0096) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [14] [4990/5278] eta: 0:12:10 lr: 3.2817935270058924e-05 loss: 0.0747 (0.0864) loss_seg: 0.0773 (0.0931) loss_lansim: 0.1197 (0.1112) loss_contra: 0.0002 (0.0096) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [14] [5000/5278] eta: 0:11:44 lr: 3.281570168540221e-05 loss: 0.0733 (0.0864) loss_seg: 0.0751 (0.0930) loss_lansim: 0.1187 (0.1112) loss_contra: 0.0002 (0.0096) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [14] [5010/5278] eta: 0:11:19 lr: 3.2813468083853395e-05 loss: 0.0710 (0.0864) loss_seg: 0.0737 (0.0930) loss_lansim: 0.1177 (0.1112) loss_contra: 0.0002 (0.0096) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [14] [5020/5278] eta: 0:10:53 lr: 3.281123446541105e-05 loss: 0.0741 (0.0864) loss_seg: 0.0783 (0.0930) loss_lansim: 0.1176 (0.1112) loss_contra: 0.0002 (0.0097) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [14] [5030/5278] eta: 0:10:28 lr: 3.280900083007379e-05 loss: 0.0669 (0.0863) loss_seg: 0.0709 (0.0930) loss_lansim: 0.1172 (0.1112) loss_contra: 0.0003 (0.0096) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [14] [5040/5278] eta: 0:10:03 lr: 3.280676717784021e-05 loss: 0.0710 (0.0863) loss_seg: 0.0751 (0.0930) loss_lansim: 0.1172 (0.1113) loss_contra: 0.0003 (0.0096) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [14] [5050/5278] eta: 0:09:37 lr: 3.280453350870888e-05 loss: 0.0700 (0.0863) loss_seg: 0.0737 (0.0930) loss_lansim: 0.1187 (0.1113) loss_contra: 0.0004 (0.0096) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [14] [5060/5278] eta: 0:09:12 lr: 3.2802299822678426e-05 loss: 0.0710 (0.0864) loss_seg: 0.0722 (0.0930) loss_lansim: 0.1191 (0.1113) loss_contra: 0.0004 (0.0096) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [14] [5070/5278] eta: 0:08:47 lr: 3.280006611974742e-05 loss: 0.0746 (0.0864) loss_seg: 0.0783 (0.0931) loss_lansim: 0.1197 (0.1114) loss_contra: 0.0004 (0.0096) time: 2.5357 data: 0.0024 max mem: 31671 Epoch: [14] [5080/5278] eta: 0:08:21 lr: 3.279783239991446e-05 loss: 0.0716 (0.0864) loss_seg: 0.0783 (0.0931) loss_lansim: 0.1183 (0.1113) loss_contra: 0.0004 (0.0096) time: 2.5383 data: 0.0024 max mem: 31671 Epoch: [14] [5090/5278] eta: 0:07:56 lr: 3.279559866317814e-05 loss: 0.0714 (0.0864) loss_seg: 0.0781 (0.0931) loss_lansim: 0.1179 (0.1114) loss_contra: 0.0004 (0.0096) time: 2.5284 data: 0.0024 max mem: 31671 Epoch: [14] [5100/5278] eta: 0:07:31 lr: 3.279336490953706e-05 loss: 0.0750 (0.0864) loss_seg: 0.0815 (0.0930) loss_lansim: 0.1186 (0.1114) loss_contra: 0.0004 (0.0096) time: 2.5347 data: 0.0024 max mem: 31671 Epoch: [14] [5110/5278] eta: 0:07:05 lr: 3.2791131138989796e-05 loss: 0.0792 (0.0864) loss_seg: 0.0844 (0.0931) loss_lansim: 0.1193 (0.1114) loss_contra: 0.0003 (0.0096) time: 2.5425 data: 0.0024 max mem: 31671 Epoch: [14] [5120/5278] eta: 0:06:40 lr: 3.2788897351534955e-05 loss: 0.0749 (0.0864) loss_seg: 0.0783 (0.0930) loss_lansim: 0.1197 (0.1114) loss_contra: 0.0002 (0.0096) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [14] [5130/5278] eta: 0:06:15 lr: 3.2786663547171115e-05 loss: 0.0767 (0.0864) loss_seg: 0.0808 (0.0930) loss_lansim: 0.1193 (0.1114) loss_contra: 0.0002 (0.0096) time: 2.5315 data: 0.0024 max mem: 31671 Epoch: [14] [5140/5278] eta: 0:05:49 lr: 3.2784429725896885e-05 loss: 0.0716 (0.0863) loss_seg: 0.0781 (0.0930) loss_lansim: 0.1183 (0.1114) loss_contra: 0.0001 (0.0096) time: 2.5285 data: 0.0024 max mem: 31671 Epoch: [14] [5150/5278] eta: 0:05:24 lr: 3.2782195887710856e-05 loss: 0.0750 (0.0864) loss_seg: 0.0786 (0.0930) loss_lansim: 0.1182 (0.1114) loss_contra: 0.0001 (0.0096) time: 2.5268 data: 0.0024 max mem: 31671 Epoch: [14] [5160/5278] eta: 0:04:59 lr: 3.27799620326116e-05 loss: 0.0749 (0.0864) loss_seg: 0.0781 (0.0930) loss_lansim: 0.1181 (0.1115) loss_contra: 0.0001 (0.0096) time: 2.5176 data: 0.0024 max mem: 31671 Epoch: [14] [5170/5278] eta: 0:04:33 lr: 3.277772816059773e-05 loss: 0.0707 (0.0863) loss_seg: 0.0762 (0.0930) loss_lansim: 0.1181 (0.1115) loss_contra: 0.0001 (0.0096) time: 2.5076 data: 0.0024 max mem: 31671 Epoch: [14] [5180/5278] eta: 0:04:08 lr: 3.277549427166782e-05 loss: 0.0705 (0.0864) loss_seg: 0.0738 (0.0930) loss_lansim: 0.1183 (0.1115) loss_contra: 0.0001 (0.0096) time: 2.5029 data: 0.0024 max mem: 31671 Epoch: [14] [5190/5278] eta: 0:03:42 lr: 3.2773260365820476e-05 loss: 0.0707 (0.0864) loss_seg: 0.0762 (0.0930) loss_lansim: 0.1189 (0.1115) loss_contra: 0.0001 (0.0096) time: 2.4991 data: 0.0025 max mem: 31671 Epoch: [14] [5200/5278] eta: 0:03:17 lr: 3.2771026443054284e-05 loss: 0.0707 (0.0864) loss_seg: 0.0762 (0.0930) loss_lansim: 0.1198 (0.1115) loss_contra: 0.0001 (0.0096) time: 2.4940 data: 0.0025 max mem: 31671 Epoch: [14] [5210/5278] eta: 0:02:52 lr: 3.276879250336781e-05 loss: 0.0708 (0.0865) loss_seg: 0.0771 (0.0931) loss_lansim: 0.1198 (0.1116) loss_contra: 0.0001 (0.0096) time: 2.4787 data: 0.0025 max mem: 31671 Epoch: [14] [5220/5278] eta: 0:02:26 lr: 3.276655854675969e-05 loss: 0.0707 (0.0864) loss_seg: 0.0771 (0.0931) loss_lansim: 0.1202 (0.1116) loss_contra: 0.0001 (0.0096) time: 2.4799 data: 0.0025 max mem: 31671 Epoch: [14] [5230/5278] eta: 0:02:01 lr: 3.2764324573228476e-05 loss: 0.0749 (0.0864) loss_seg: 0.0786 (0.0931) loss_lansim: 0.1226 (0.1116) loss_contra: 0.0001 (0.0095) time: 2.4794 data: 0.0025 max mem: 31671 Epoch: [14] [5240/5278] eta: 0:01:36 lr: 3.276209058277278e-05 loss: 0.0767 (0.0864) loss_seg: 0.0837 (0.0931) loss_lansim: 0.1223 (0.1116) loss_contra: 0.0001 (0.0095) time: 2.4864 data: 0.0025 max mem: 31671 Epoch: [14] [5250/5278] eta: 0:01:10 lr: 3.275985657539118e-05 loss: 0.0757 (0.0865) loss_seg: 0.0813 (0.0931) loss_lansim: 0.1214 (0.1117) loss_contra: 0.0001 (0.0095) time: 2.4919 data: 0.0025 max mem: 31671 Epoch: [14] [5260/5278] eta: 0:00:45 lr: 3.275762255108226e-05 loss: 0.0712 (0.0864) loss_seg: 0.0785 (0.0931) loss_lansim: 0.1217 (0.1117) loss_contra: 0.0001 (0.0095) time: 2.5027 data: 0.0025 max mem: 31671 Epoch: [14] [5270/5278] eta: 0:00:20 lr: 3.2755388509844624e-05 loss: 0.0757 (0.0864) loss_seg: 0.0813 (0.0931) loss_lansim: 0.1221 (0.1117) loss_contra: 0.0001 (0.0095) time: 2.5116 data: 0.0024 max mem: 31671 Epoch: [14] Total time: 3:42:54 Test: [ 0/2573] eta: 1:38:39 time: 2.3006 data: 2.1374 max mem: 31671 Test: [ 100/2573] eta: 0:06:47 time: 0.1433 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:12 time: 0.1494 data: 0.0014 max mem: 31671 Test: [ 300/2573] eta: 0:05:47 time: 0.1439 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:27 time: 0.1455 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:10 time: 0.1458 data: 0.0014 max mem: 31671 Test: [ 600/2573] eta: 0:04:54 time: 0.1472 data: 0.0014 max mem: 31671 Test: [ 700/2573] eta: 0:04:40 time: 0.1507 data: 0.0014 max mem: 31671 Test: [ 800/2573] eta: 0:04:24 time: 0.1480 data: 0.0014 max mem: 31671 Test: [ 900/2573] eta: 0:04:09 time: 0.1483 data: 0.0014 max mem: 31671 Test: [1000/2573] eta: 0:03:54 time: 0.1450 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:38 time: 0.1449 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:23 time: 0.1476 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:08 time: 0.1457 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:53 time: 0.1436 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1467 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1462 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1470 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1441 data: 0.0014 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1431 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1420 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1457 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1401 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1451 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1436 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1456 data: 0.0015 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 64.48 precision@0.6 = 58.58 precision@0.7 = 50.74 precision@0.8 = 39.46 precision@0.9 = 18.46 overall IoU = 56.79 mean IoU = 57.42 Average object IoU 0.5741850224608328 Overall IoU 56.79395527053044 Better epoch: 14 The best_performance is 56.79395527053044 Epoch: [15] [ 0/5278] eta: 6:05:08 lr: 3.275360126466489e-05 loss: 0.0329 (0.0329) loss_seg: 0.0358 (0.0358) loss_lansim: 0.1073 (0.1073) loss_contra: 0.0000 (0.0000) time: 4.1509 data: 1.3553 max mem: 31671 Epoch: [15] [ 10/5278] eta: 3:51:56 lr: 3.2751367192951994e-05 loss: 0.0663 (0.0750) loss_seg: 0.0731 (0.0799) loss_lansim: 0.1128 (0.1147) loss_contra: 0.0000 (0.0010) time: 2.6417 data: 0.1250 max mem: 31671 Epoch: [15] [ 20/5278] eta: 3:46:53 lr: 3.274913310430642e-05 loss: 0.0675 (0.0771) loss_seg: 0.0705 (0.0828) loss_lansim: 0.1143 (0.1167) loss_contra: 0.0000 (0.0011) time: 2.5892 data: 0.0662 max mem: 31671 Epoch: [15] [ 30/5278] eta: 3:43:29 lr: 3.2746898998726774e-05 loss: 0.0663 (0.0716) loss_seg: 0.0682 (0.0767) loss_lansim: 0.1143 (0.1170) loss_contra: 0.0000 (0.0008) time: 2.5551 data: 0.0457 max mem: 31671 Epoch: [15] [ 40/5278] eta: 3:44:18 lr: 3.274466487621161e-05 loss: 0.0663 (0.0756) loss_seg: 0.0682 (0.0812) loss_lansim: 0.1153 (0.1177) loss_contra: 0.0001 (0.0008) time: 2.5694 data: 0.0351 max mem: 31671 Epoch: [15] [ 50/5278] eta: 3:43:18 lr: 3.274243073675955e-05 loss: 0.0695 (0.0761) loss_seg: 0.0731 (0.0817) loss_lansim: 0.1165 (0.1192) loss_contra: 0.0001 (0.0009) time: 2.5629 data: 0.0287 max mem: 31671 Epoch: [15] [ 60/5278] eta: 3:42:34 lr: 3.274019658036916e-05 loss: 0.0695 (0.0754) loss_seg: 0.0705 (0.0806) loss_lansim: 0.1156 (0.1182) loss_contra: 0.0001 (0.0008) time: 2.5594 data: 0.0244 max mem: 31671 Epoch: [15] [ 70/5278] eta: 3:41:39 lr: 3.273796240703903e-05 loss: 0.0663 (0.0743) loss_seg: 0.0705 (0.0795) loss_lansim: 0.1162 (0.1183) loss_contra: 0.0001 (0.0010) time: 2.5537 data: 0.0213 max mem: 31671 Epoch: [15] [ 80/5278] eta: 3:40:10 lr: 3.273572821676776e-05 loss: 0.0663 (0.0748) loss_seg: 0.0705 (0.0799) loss_lansim: 0.1162 (0.1178) loss_contra: 0.0001 (0.0013) time: 2.5414 data: 0.0190 max mem: 31671 Epoch: [15] [ 90/5278] eta: 3:39:00 lr: 3.2733494009553926e-05 loss: 0.0695 (0.0792) loss_seg: 0.0731 (0.0850) loss_lansim: 0.1162 (0.1179) loss_contra: 0.0001 (0.0012) time: 2.5328 data: 0.0172 max mem: 31671 Epoch: [15] [ 100/5278] eta: 3:37:45 lr: 3.273125978539611e-05 loss: 0.0699 (0.0832) loss_seg: 0.0745 (0.0886) loss_lansim: 0.1168 (0.1186) loss_contra: 0.0001 (0.0011) time: 2.5070 data: 0.0023 max mem: 31671 Epoch: [15] [ 110/5278] eta: 3:37:18 lr: 3.2729025544292916e-05 loss: 0.0695 (0.0816) loss_seg: 0.0720 (0.0870) loss_lansim: 0.1165 (0.1177) loss_contra: 0.0001 (0.0012) time: 2.5100 data: 0.0024 max mem: 31671 Epoch: [15] [ 120/5278] eta: 3:37:20 lr: 3.272679128624291e-05 loss: 0.0656 (0.0805) loss_seg: 0.0705 (0.0860) loss_lansim: 0.1166 (0.1178) loss_contra: 0.0001 (0.0027) time: 2.5154 data: 0.0025 max mem: 31671 Epoch: [15] [ 130/5278] eta: 3:36:56 lr: 3.272455701124469e-05 loss: 0.0656 (0.0795) loss_seg: 0.0705 (0.0848) loss_lansim: 0.1171 (0.1184) loss_contra: 0.0002 (0.0025) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [15] [ 140/5278] eta: 3:36:37 lr: 3.272232271929683e-05 loss: 0.0656 (0.0788) loss_seg: 0.0715 (0.0840) loss_lansim: 0.1172 (0.1185) loss_contra: 0.0002 (0.0027) time: 2.5133 data: 0.0024 max mem: 31671 Epoch: [15] [ 150/5278] eta: 3:35:54 lr: 3.272008841039794e-05 loss: 0.0650 (0.0778) loss_seg: 0.0704 (0.0830) loss_lansim: 0.1172 (0.1185) loss_contra: 0.0001 (0.0025) time: 2.5076 data: 0.0025 max mem: 31671 Epoch: [15] [ 160/5278] eta: 3:36:00 lr: 3.271785408454658e-05 loss: 0.0650 (0.0775) loss_seg: 0.0714 (0.0828) loss_lansim: 0.1172 (0.1181) loss_contra: 0.0001 (0.0024) time: 2.5158 data: 0.0025 max mem: 31671 Epoch: [15] [ 170/5278] eta: 3:35:31 lr: 3.2715619741741345e-05 loss: 0.0668 (0.0781) loss_seg: 0.0721 (0.0835) loss_lansim: 0.1179 (0.1179) loss_contra: 0.0001 (0.0022) time: 2.5159 data: 0.0026 max mem: 31671 Epoch: [15] [ 180/5278] eta: 3:35:39 lr: 3.2713385381980814e-05 loss: 0.0668 (0.0777) loss_seg: 0.0721 (0.0831) loss_lansim: 0.1171 (0.1177) loss_contra: 0.0001 (0.0022) time: 2.5354 data: 0.0026 max mem: 31671 Epoch: [15] [ 190/5278] eta: 3:34:49 lr: 3.2711151005263583e-05 loss: 0.0655 (0.0776) loss_seg: 0.0714 (0.0829) loss_lansim: 0.1173 (0.1179) loss_contra: 0.0001 (0.0028) time: 2.5338 data: 0.0026 max mem: 31671 Epoch: [15] [ 200/5278] eta: 3:34:01 lr: 3.2708916611588225e-05 loss: 0.0646 (0.0779) loss_seg: 0.0679 (0.0833) loss_lansim: 0.1166 (0.1179) loss_contra: 0.0001 (0.0027) time: 2.5345 data: 0.0026 max mem: 31671 Epoch: [15] [ 210/5278] eta: 3:33:58 lr: 3.2706682200953336e-05 loss: 0.0647 (0.0779) loss_seg: 0.0688 (0.0834) loss_lansim: 0.1194 (0.1181) loss_contra: 0.0001 (0.0026) time: 2.5445 data: 0.0026 max mem: 31671 Epoch: [15] [ 220/5278] eta: 3:33:17 lr: 3.2704447773357486e-05 loss: 0.0668 (0.0796) loss_seg: 0.0732 (0.0852) loss_lansim: 0.1201 (0.1182) loss_contra: 0.0001 (0.0025) time: 2.5327 data: 0.0026 max mem: 31671 Epoch: [15] [ 230/5278] eta: 3:32:40 lr: 3.2702213328799266e-05 loss: 0.0671 (0.0799) loss_seg: 0.0739 (0.0854) loss_lansim: 0.1172 (0.1181) loss_contra: 0.0001 (0.0027) time: 2.5270 data: 0.0026 max mem: 31671 Epoch: [15] [ 240/5278] eta: 3:32:23 lr: 3.269997886727727e-05 loss: 0.0698 (0.0802) loss_seg: 0.0748 (0.0857) loss_lansim: 0.1172 (0.1183) loss_contra: 0.0001 (0.0031) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [15] [ 250/5278] eta: 3:32:04 lr: 3.269774438879006e-05 loss: 0.0715 (0.0796) loss_seg: 0.0748 (0.0850) loss_lansim: 0.1173 (0.1188) loss_contra: 0.0001 (0.0030) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [15] [ 260/5278] eta: 3:31:39 lr: 3.269550989333624e-05 loss: 0.0698 (0.0790) loss_seg: 0.0726 (0.0845) loss_lansim: 0.1184 (0.1188) loss_contra: 0.0001 (0.0029) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [15] [ 270/5278] eta: 3:31:18 lr: 3.269327538091437e-05 loss: 0.0650 (0.0795) loss_seg: 0.0684 (0.0851) loss_lansim: 0.1199 (0.1192) loss_contra: 0.0001 (0.0028) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [15] [ 280/5278] eta: 3:30:42 lr: 3.269104085152304e-05 loss: 0.0681 (0.0805) loss_seg: 0.0715 (0.0862) loss_lansim: 0.1217 (0.1195) loss_contra: 0.0001 (0.0027) time: 2.5140 data: 0.0024 max mem: 31671 Epoch: [15] [ 290/5278] eta: 3:30:16 lr: 3.268880630516085e-05 loss: 0.0679 (0.0800) loss_seg: 0.0702 (0.0857) loss_lansim: 0.1221 (0.1196) loss_contra: 0.0001 (0.0027) time: 2.5218 data: 0.0024 max mem: 31671 Epoch: [15] [ 300/5278] eta: 3:29:47 lr: 3.268657174182637e-05 loss: 0.0698 (0.0797) loss_seg: 0.0715 (0.0854) loss_lansim: 0.1221 (0.1197) loss_contra: 0.0001 (0.0027) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [15] [ 310/5278] eta: 3:29:16 lr: 3.268433716151817e-05 loss: 0.0698 (0.0796) loss_seg: 0.0730 (0.0852) loss_lansim: 0.1222 (0.1204) loss_contra: 0.0001 (0.0027) time: 2.5153 data: 0.0024 max mem: 31671 Epoch: [15] [ 320/5278] eta: 3:28:42 lr: 3.268210256423485e-05 loss: 0.0671 (0.0795) loss_seg: 0.0725 (0.0852) loss_lansim: 0.1221 (0.1204) loss_contra: 0.0001 (0.0028) time: 2.5158 data: 0.0024 max mem: 31671 Epoch: [15] [ 330/5278] eta: 3:28:23 lr: 3.267986794997498e-05 loss: 0.0661 (0.0790) loss_seg: 0.0715 (0.0847) loss_lansim: 0.1242 (0.1206) loss_contra: 0.0001 (0.0028) time: 2.5249 data: 0.0024 max mem: 31671 Epoch: [15] [ 340/5278] eta: 3:27:52 lr: 3.267763331873715e-05 loss: 0.0650 (0.0788) loss_seg: 0.0681 (0.0845) loss_lansim: 0.1241 (0.1207) loss_contra: 0.0001 (0.0027) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [15] [ 350/5278] eta: 3:27:33 lr: 3.267539867051994e-05 loss: 0.0637 (0.0789) loss_seg: 0.0680 (0.0845) loss_lansim: 0.1249 (0.1210) loss_contra: 0.0001 (0.0027) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [15] [ 360/5278] eta: 3:26:58 lr: 3.267316400532191e-05 loss: 0.0654 (0.0787) loss_seg: 0.0715 (0.0843) loss_lansim: 0.1260 (0.1211) loss_contra: 0.0002 (0.0029) time: 2.5105 data: 0.0025 max mem: 31671 Epoch: [15] [ 370/5278] eta: 3:26:33 lr: 3.267092932314167e-05 loss: 0.0661 (0.0786) loss_seg: 0.0718 (0.0842) loss_lansim: 0.1241 (0.1212) loss_contra: 0.0002 (0.0031) time: 2.5079 data: 0.0025 max mem: 31671 Epoch: [15] [ 380/5278] eta: 3:25:59 lr: 3.266869462397778e-05 loss: 0.0639 (0.0784) loss_seg: 0.0691 (0.0840) loss_lansim: 0.1249 (0.1214) loss_contra: 0.0001 (0.0031) time: 2.5059 data: 0.0025 max mem: 31671 Epoch: [15] [ 390/5278] eta: 3:25:43 lr: 3.2666459907828836e-05 loss: 0.0639 (0.0785) loss_seg: 0.0691 (0.0841) loss_lansim: 0.1249 (0.1214) loss_contra: 0.0002 (0.0031) time: 2.5129 data: 0.0024 max mem: 31671 Epoch: [15] [ 400/5278] eta: 3:25:21 lr: 3.2664225174693417e-05 loss: 0.0654 (0.0790) loss_seg: 0.0694 (0.0846) loss_lansim: 0.1254 (0.1216) loss_contra: 0.0002 (0.0032) time: 2.5176 data: 0.0024 max mem: 31671 Epoch: [15] [ 410/5278] eta: 3:24:49 lr: 3.266199042457008e-05 loss: 0.0656 (0.0794) loss_seg: 0.0695 (0.0851) loss_lansim: 0.1260 (0.1218) loss_contra: 0.0002 (0.0031) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [15] [ 420/5278] eta: 3:24:30 lr: 3.2659755657457425e-05 loss: 0.0672 (0.0794) loss_seg: 0.0724 (0.0851) loss_lansim: 0.1269 (0.1220) loss_contra: 0.0002 (0.0030) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [15] [ 430/5278] eta: 3:24:01 lr: 3.265752087335403e-05 loss: 0.0674 (0.0790) loss_seg: 0.0739 (0.0847) loss_lansim: 0.1254 (0.1219) loss_contra: 0.0002 (0.0030) time: 2.5192 data: 0.0024 max mem: 31671 Epoch: [15] [ 440/5278] eta: 3:23:28 lr: 3.265528607225846e-05 loss: 0.0681 (0.0792) loss_seg: 0.0742 (0.0849) loss_lansim: 0.1251 (0.1220) loss_contra: 0.0002 (0.0037) time: 2.5151 data: 0.0024 max mem: 31671 Epoch: [15] [ 450/5278] eta: 3:23:01 lr: 3.265305125416931e-05 loss: 0.0708 (0.0790) loss_seg: 0.0752 (0.0847) loss_lansim: 0.1233 (0.1219) loss_contra: 0.0002 (0.0036) time: 2.5092 data: 0.0025 max mem: 31671 Epoch: [15] [ 460/5278] eta: 3:22:43 lr: 3.265081641908515e-05 loss: 0.0708 (0.0787) loss_seg: 0.0752 (0.0844) loss_lansim: 0.1233 (0.1219) loss_contra: 0.0002 (0.0036) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [15] [ 470/5278] eta: 3:22:16 lr: 3.264858156700455e-05 loss: 0.0674 (0.0781) loss_seg: 0.0739 (0.0837) loss_lansim: 0.1225 (0.1218) loss_contra: 0.0002 (0.0035) time: 2.5210 data: 0.0025 max mem: 31671 Epoch: [15] [ 480/5278] eta: 3:21:52 lr: 3.264634669792611e-05 loss: 0.0654 (0.0776) loss_seg: 0.0702 (0.0832) loss_lansim: 0.1221 (0.1216) loss_contra: 0.0002 (0.0035) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [15] [ 490/5278] eta: 3:21:27 lr: 3.2644111811848396e-05 loss: 0.0654 (0.0774) loss_seg: 0.0711 (0.0830) loss_lansim: 0.1215 (0.1216) loss_contra: 0.0002 (0.0035) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [15] [ 500/5278] eta: 3:20:55 lr: 3.2641876908769985e-05 loss: 0.0655 (0.0778) loss_seg: 0.0723 (0.0834) loss_lansim: 0.1207 (0.1216) loss_contra: 0.0002 (0.0035) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [15] [ 510/5278] eta: 3:20:28 lr: 3.2639641988689454e-05 loss: 0.0633 (0.0777) loss_seg: 0.0687 (0.0833) loss_lansim: 0.1212 (0.1218) loss_contra: 0.0002 (0.0035) time: 2.5156 data: 0.0026 max mem: 31671 Epoch: [15] [ 520/5278] eta: 3:20:03 lr: 3.263740705160538e-05 loss: 0.0623 (0.0789) loss_seg: 0.0665 (0.0845) loss_lansim: 0.1198 (0.1218) loss_contra: 0.0002 (0.0035) time: 2.5108 data: 0.0025 max mem: 31671 Epoch: [15] [ 530/5278] eta: 3:19:40 lr: 3.263517209751634e-05 loss: 0.0633 (0.0787) loss_seg: 0.0676 (0.0842) loss_lansim: 0.1177 (0.1218) loss_contra: 0.0003 (0.0036) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [15] [ 540/5278] eta: 3:19:16 lr: 3.263293712642091e-05 loss: 0.0622 (0.0787) loss_seg: 0.0676 (0.0843) loss_lansim: 0.1173 (0.1218) loss_contra: 0.0003 (0.0036) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [15] [ 550/5278] eta: 3:18:56 lr: 3.263070213831767e-05 loss: 0.0613 (0.0786) loss_seg: 0.0671 (0.0842) loss_lansim: 0.1196 (0.1219) loss_contra: 0.0003 (0.0036) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [15] [ 560/5278] eta: 3:18:28 lr: 3.262846713320519e-05 loss: 0.0604 (0.0783) loss_seg: 0.0652 (0.0838) loss_lansim: 0.1177 (0.1218) loss_contra: 0.0003 (0.0035) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [15] [ 570/5278] eta: 3:18:05 lr: 3.262623211108205e-05 loss: 0.0613 (0.0784) loss_seg: 0.0665 (0.0839) loss_lansim: 0.1208 (0.1220) loss_contra: 0.0003 (0.0035) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [15] [ 580/5278] eta: 3:17:38 lr: 3.262399707194684e-05 loss: 0.0670 (0.0782) loss_seg: 0.0724 (0.0837) loss_lansim: 0.1219 (0.1220) loss_contra: 0.0002 (0.0036) time: 2.5234 data: 0.0025 max mem: 31671 Epoch: [15] [ 590/5278] eta: 3:17:13 lr: 3.262176201579811e-05 loss: 0.0670 (0.0784) loss_seg: 0.0725 (0.0840) loss_lansim: 0.1194 (0.1219) loss_contra: 0.0001 (0.0036) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [15] [ 600/5278] eta: 3:16:44 lr: 3.261952694263444e-05 loss: 0.0657 (0.0785) loss_seg: 0.0724 (0.0841) loss_lansim: 0.1194 (0.1219) loss_contra: 0.0001 (0.0036) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [15] [ 610/5278] eta: 3:16:29 lr: 3.2617291852454425e-05 loss: 0.0656 (0.0784) loss_seg: 0.0716 (0.0840) loss_lansim: 0.1173 (0.1218) loss_contra: 0.0001 (0.0035) time: 2.5395 data: 0.0024 max mem: 31671 Epoch: [15] [ 620/5278] eta: 3:16:05 lr: 3.261505674525661e-05 loss: 0.0657 (0.0785) loss_seg: 0.0709 (0.0842) loss_lansim: 0.1173 (0.1217) loss_contra: 0.0001 (0.0035) time: 2.5418 data: 0.0024 max mem: 31671 Epoch: [15] [ 630/5278] eta: 3:15:41 lr: 3.2612821621039595e-05 loss: 0.0642 (0.0784) loss_seg: 0.0676 (0.0841) loss_lansim: 0.1181 (0.1217) loss_contra: 0.0001 (0.0034) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [15] [ 640/5278] eta: 3:15:14 lr: 3.2610586479801946e-05 loss: 0.0652 (0.0786) loss_seg: 0.0699 (0.0842) loss_lansim: 0.1176 (0.1217) loss_contra: 0.0001 (0.0034) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [15] [ 650/5278] eta: 3:14:55 lr: 3.2608351321542235e-05 loss: 0.0642 (0.0784) loss_seg: 0.0676 (0.0840) loss_lansim: 0.1183 (0.1217) loss_contra: 0.0001 (0.0034) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [15] [ 660/5278] eta: 3:14:27 lr: 3.260611614625904e-05 loss: 0.0657 (0.0785) loss_seg: 0.0707 (0.0842) loss_lansim: 0.1183 (0.1217) loss_contra: 0.0001 (0.0033) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [15] [ 670/5278] eta: 3:14:02 lr: 3.2603880953950935e-05 loss: 0.0662 (0.0788) loss_seg: 0.0712 (0.0845) loss_lansim: 0.1174 (0.1217) loss_contra: 0.0001 (0.0033) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [15] [ 680/5278] eta: 3:13:36 lr: 3.2601645744616485e-05 loss: 0.0662 (0.0788) loss_seg: 0.0712 (0.0845) loss_lansim: 0.1165 (0.1217) loss_contra: 0.0001 (0.0033) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [15] [ 690/5278] eta: 3:13:09 lr: 3.259941051825427e-05 loss: 0.0666 (0.0786) loss_seg: 0.0712 (0.0843) loss_lansim: 0.1176 (0.1217) loss_contra: 0.0001 (0.0032) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [15] [ 700/5278] eta: 3:12:46 lr: 3.2597175274862854e-05 loss: 0.0646 (0.0782) loss_seg: 0.0679 (0.0839) loss_lansim: 0.1174 (0.1216) loss_contra: 0.0001 (0.0032) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [15] [ 710/5278] eta: 3:12:19 lr: 3.2594940014440826e-05 loss: 0.0642 (0.0783) loss_seg: 0.0676 (0.0840) loss_lansim: 0.1176 (0.1216) loss_contra: 0.0001 (0.0034) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [15] [ 720/5278] eta: 3:11:53 lr: 3.2592704736986753e-05 loss: 0.0620 (0.0781) loss_seg: 0.0676 (0.0838) loss_lansim: 0.1174 (0.1215) loss_contra: 0.0001 (0.0034) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [15] [ 730/5278] eta: 3:11:29 lr: 3.2590469442499194e-05 loss: 0.0620 (0.0779) loss_seg: 0.0676 (0.0836) loss_lansim: 0.1164 (0.1214) loss_contra: 0.0001 (0.0033) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [15] [ 740/5278] eta: 3:11:02 lr: 3.258823413097674e-05 loss: 0.0613 (0.0780) loss_seg: 0.0644 (0.0836) loss_lansim: 0.1170 (0.1214) loss_contra: 0.0001 (0.0033) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [15] [ 750/5278] eta: 3:10:37 lr: 3.258599880241795e-05 loss: 0.0625 (0.0780) loss_seg: 0.0682 (0.0837) loss_lansim: 0.1151 (0.1214) loss_contra: 0.0001 (0.0033) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [15] [ 760/5278] eta: 3:10:14 lr: 3.2583763456821406e-05 loss: 0.0613 (0.0779) loss_seg: 0.0644 (0.0835) loss_lansim: 0.1149 (0.1212) loss_contra: 0.0001 (0.0033) time: 2.5273 data: 0.0024 max mem: 31671 Epoch: [15] [ 770/5278] eta: 3:09:51 lr: 3.258152809418566e-05 loss: 0.0600 (0.0782) loss_seg: 0.0632 (0.0839) loss_lansim: 0.1150 (0.1212) loss_contra: 0.0001 (0.0033) time: 2.5291 data: 0.0024 max mem: 31671 Epoch: [15] [ 780/5278] eta: 3:09:29 lr: 3.257929271450931e-05 loss: 0.0600 (0.0782) loss_seg: 0.0632 (0.0838) loss_lansim: 0.1151 (0.1212) loss_contra: 0.0001 (0.0033) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [15] [ 790/5278] eta: 3:09:05 lr: 3.257705731779092e-05 loss: 0.0586 (0.0781) loss_seg: 0.0631 (0.0837) loss_lansim: 0.1142 (0.1211) loss_contra: 0.0001 (0.0033) time: 2.5414 data: 0.0024 max mem: 31671 Epoch: [15] [ 800/5278] eta: 3:08:40 lr: 3.257482190402904e-05 loss: 0.0647 (0.0780) loss_seg: 0.0699 (0.0837) loss_lansim: 0.1134 (0.1209) loss_contra: 0.0001 (0.0032) time: 2.5387 data: 0.0024 max mem: 31671 Epoch: [15] [ 810/5278] eta: 3:08:13 lr: 3.257258647322225e-05 loss: 0.0648 (0.0781) loss_seg: 0.0703 (0.0837) loss_lansim: 0.1134 (0.1208) loss_contra: 0.0001 (0.0032) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [15] [ 820/5278] eta: 3:07:45 lr: 3.257035102536914e-05 loss: 0.0652 (0.0783) loss_seg: 0.0714 (0.0840) loss_lansim: 0.1127 (0.1206) loss_contra: 0.0001 (0.0035) time: 2.5356 data: 0.0025 max mem: 31671 Epoch: [15] [ 830/5278] eta: 3:07:20 lr: 3.256811556046825e-05 loss: 0.0670 (0.0782) loss_seg: 0.0703 (0.0839) loss_lansim: 0.1110 (0.1205) loss_contra: 0.0001 (0.0038) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [15] [ 840/5278] eta: 3:06:55 lr: 3.256588007851818e-05 loss: 0.0648 (0.0780) loss_seg: 0.0692 (0.0836) loss_lansim: 0.1107 (0.1204) loss_contra: 0.0001 (0.0043) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [15] [ 850/5278] eta: 3:06:27 lr: 3.2563644579517474e-05 loss: 0.0686 (0.0783) loss_seg: 0.0714 (0.0840) loss_lansim: 0.1104 (0.1204) loss_contra: 0.0001 (0.0045) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [15] [ 860/5278] eta: 3:06:02 lr: 3.256140906346471e-05 loss: 0.0690 (0.0783) loss_seg: 0.0739 (0.0839) loss_lansim: 0.1107 (0.1203) loss_contra: 0.0001 (0.0045) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [15] [ 870/5278] eta: 3:05:37 lr: 3.255917353035847e-05 loss: 0.0681 (0.0782) loss_seg: 0.0717 (0.0838) loss_lansim: 0.1100 (0.1203) loss_contra: 0.0001 (0.0057) time: 2.5236 data: 0.0026 max mem: 31671 Epoch: [15] [ 880/5278] eta: 3:05:12 lr: 3.25569379801973e-05 loss: 0.0655 (0.0782) loss_seg: 0.0703 (0.0839) loss_lansim: 0.1110 (0.1203) loss_contra: 0.0001 (0.0057) time: 2.5192 data: 0.0026 max mem: 31671 Epoch: [15] [ 890/5278] eta: 3:04:46 lr: 3.2554702412979784e-05 loss: 0.0678 (0.0782) loss_seg: 0.0717 (0.0839) loss_lansim: 0.1115 (0.1202) loss_contra: 0.0001 (0.0058) time: 2.5140 data: 0.0026 max mem: 31671 Epoch: [15] [ 900/5278] eta: 3:04:21 lr: 3.25524668287045e-05 loss: 0.0658 (0.0781) loss_seg: 0.0692 (0.0838) loss_lansim: 0.1129 (0.1202) loss_contra: 0.0002 (0.0057) time: 2.5161 data: 0.0026 max mem: 31671 Epoch: [15] [ 910/5278] eta: 3:04:00 lr: 3.255023122736998e-05 loss: 0.0655 (0.0780) loss_seg: 0.0686 (0.0837) loss_lansim: 0.1115 (0.1201) loss_contra: 0.0002 (0.0057) time: 2.5261 data: 0.0026 max mem: 31671 Epoch: [15] [ 920/5278] eta: 3:03:37 lr: 3.254799560897483e-05 loss: 0.0655 (0.0778) loss_seg: 0.0686 (0.0835) loss_lansim: 0.1138 (0.1201) loss_contra: 0.0002 (0.0057) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [15] [ 930/5278] eta: 3:03:10 lr: 3.2545759973517596e-05 loss: 0.0658 (0.0777) loss_seg: 0.0707 (0.0834) loss_lansim: 0.1149 (0.1200) loss_contra: 0.0002 (0.0057) time: 2.5342 data: 0.0026 max mem: 31671 Epoch: [15] [ 940/5278] eta: 3:02:47 lr: 3.254352432099686e-05 loss: 0.0672 (0.0778) loss_seg: 0.0726 (0.0835) loss_lansim: 0.1143 (0.1199) loss_contra: 0.0002 (0.0056) time: 2.5385 data: 0.0026 max mem: 31671 Epoch: [15] [ 950/5278] eta: 3:02:19 lr: 3.2541288651411176e-05 loss: 0.0655 (0.0777) loss_seg: 0.0689 (0.0834) loss_lansim: 0.1139 (0.1198) loss_contra: 0.0003 (0.0056) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [15] [ 960/5278] eta: 3:01:53 lr: 3.253905296475912e-05 loss: 0.0653 (0.0779) loss_seg: 0.0689 (0.0836) loss_lansim: 0.1124 (0.1197) loss_contra: 0.0003 (0.0056) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [15] [ 970/5278] eta: 3:01:25 lr: 3.253681726103925e-05 loss: 0.0658 (0.0779) loss_seg: 0.0707 (0.0836) loss_lansim: 0.1123 (0.1197) loss_contra: 0.0003 (0.0058) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [15] [ 980/5278] eta: 3:00:56 lr: 3.2534581540250136e-05 loss: 0.0666 (0.0782) loss_seg: 0.0726 (0.0840) loss_lansim: 0.1121 (0.1197) loss_contra: 0.0002 (0.0058) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [15] [ 990/5278] eta: 3:00:31 lr: 3.253234580239035e-05 loss: 0.0661 (0.0783) loss_seg: 0.0726 (0.0840) loss_lansim: 0.1123 (0.1197) loss_contra: 0.0002 (0.0059) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [15] [1000/5278] eta: 3:00:10 lr: 3.253011004745846e-05 loss: 0.0678 (0.0781) loss_seg: 0.0727 (0.0839) loss_lansim: 0.1121 (0.1196) loss_contra: 0.0002 (0.0063) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [15] [1010/5278] eta: 2:59:43 lr: 3.252787427545303e-05 loss: 0.0704 (0.0782) loss_seg: 0.0758 (0.0839) loss_lansim: 0.1124 (0.1196) loss_contra: 0.0002 (0.0062) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [15] [1020/5278] eta: 2:59:20 lr: 3.25256384863726e-05 loss: 0.0722 (0.0782) loss_seg: 0.0758 (0.0839) loss_lansim: 0.1124 (0.1196) loss_contra: 0.0002 (0.0062) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [15] [1030/5278] eta: 2:58:57 lr: 3.252340268021578e-05 loss: 0.0731 (0.0781) loss_seg: 0.0775 (0.0840) loss_lansim: 0.1124 (0.1196) loss_contra: 0.0002 (0.0066) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [15] [1040/5278] eta: 2:58:31 lr: 3.2521166856981095e-05 loss: 0.0704 (0.0780) loss_seg: 0.0758 (0.0838) loss_lansim: 0.1139 (0.1196) loss_contra: 0.0002 (0.0066) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [15] [1050/5278] eta: 2:58:04 lr: 3.2518931016667145e-05 loss: 0.0683 (0.0780) loss_seg: 0.0752 (0.0838) loss_lansim: 0.1136 (0.1196) loss_contra: 0.0001 (0.0065) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [15] [1060/5278] eta: 2:57:37 lr: 3.251669515927246e-05 loss: 0.0671 (0.0778) loss_seg: 0.0740 (0.0836) loss_lansim: 0.1149 (0.1195) loss_contra: 0.0001 (0.0065) time: 2.5191 data: 0.0025 max mem: 31671 Epoch: [15] [1070/5278] eta: 2:57:12 lr: 3.2514459284795634e-05 loss: 0.0651 (0.0778) loss_seg: 0.0715 (0.0835) loss_lansim: 0.1164 (0.1195) loss_contra: 0.0001 (0.0064) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [15] [1080/5278] eta: 2:56:46 lr: 3.251222339323522e-05 loss: 0.0647 (0.0779) loss_seg: 0.0714 (0.0836) loss_lansim: 0.1149 (0.1195) loss_contra: 0.0001 (0.0064) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [15] [1090/5278] eta: 2:56:21 lr: 3.250998748458977e-05 loss: 0.0638 (0.0781) loss_seg: 0.0693 (0.0839) loss_lansim: 0.1149 (0.1195) loss_contra: 0.0001 (0.0064) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [15] [1100/5278] eta: 2:55:56 lr: 3.250775155885787e-05 loss: 0.0669 (0.0781) loss_seg: 0.0740 (0.0839) loss_lansim: 0.1169 (0.1195) loss_contra: 0.0001 (0.0063) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [15] [1110/5278] eta: 2:55:27 lr: 3.2505515616038074e-05 loss: 0.0647 (0.0782) loss_seg: 0.0714 (0.0840) loss_lansim: 0.1169 (0.1195) loss_contra: 0.0001 (0.0064) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [15] [1120/5278] eta: 2:55:02 lr: 3.2503279656128926e-05 loss: 0.0647 (0.0781) loss_seg: 0.0712 (0.0840) loss_lansim: 0.1172 (0.1196) loss_contra: 0.0001 (0.0064) time: 2.5127 data: 0.0026 max mem: 31671 Epoch: [15] [1130/5278] eta: 2:54:34 lr: 3.250104367912903e-05 loss: 0.0647 (0.0784) loss_seg: 0.0712 (0.0842) loss_lansim: 0.1169 (0.1196) loss_contra: 0.0001 (0.0063) time: 2.5007 data: 0.0025 max mem: 31671 Epoch: [15] [1140/5278] eta: 2:54:12 lr: 3.2498807685036914e-05 loss: 0.0647 (0.0783) loss_seg: 0.0712 (0.0841) loss_lansim: 0.1167 (0.1195) loss_contra: 0.0001 (0.0063) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [15] [1150/5278] eta: 2:53:48 lr: 3.249657167385115e-05 loss: 0.0669 (0.0783) loss_seg: 0.0741 (0.0842) loss_lansim: 0.1172 (0.1196) loss_contra: 0.0002 (0.0063) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [15] [1160/5278] eta: 2:53:25 lr: 3.249433564557031e-05 loss: 0.0688 (0.0784) loss_seg: 0.0751 (0.0843) loss_lansim: 0.1170 (0.1196) loss_contra: 0.0002 (0.0063) time: 2.5288 data: 0.0026 max mem: 31671 Epoch: [15] [1170/5278] eta: 2:53:00 lr: 3.249209960019295e-05 loss: 0.0704 (0.0785) loss_seg: 0.0754 (0.0844) loss_lansim: 0.1196 (0.1197) loss_contra: 0.0002 (0.0062) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [15] [1180/5278] eta: 2:52:34 lr: 3.2489863537717624e-05 loss: 0.0720 (0.0788) loss_seg: 0.0775 (0.0846) loss_lansim: 0.1226 (0.1198) loss_contra: 0.0002 (0.0062) time: 2.5291 data: 0.0025 max mem: 31671 Epoch: [15] [1190/5278] eta: 2:52:08 lr: 3.2487627458142914e-05 loss: 0.0715 (0.0787) loss_seg: 0.0762 (0.0846) loss_lansim: 0.1240 (0.1199) loss_contra: 0.0002 (0.0061) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [15] [1200/5278] eta: 2:51:40 lr: 3.2485391361467354e-05 loss: 0.0702 (0.0788) loss_seg: 0.0751 (0.0847) loss_lansim: 0.1230 (0.1199) loss_contra: 0.0002 (0.0062) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [15] [1210/5278] eta: 2:51:13 lr: 3.248315524768953e-05 loss: 0.0715 (0.0789) loss_seg: 0.0762 (0.0848) loss_lansim: 0.1228 (0.1198) loss_contra: 0.0001 (0.0062) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [15] [1220/5278] eta: 2:50:46 lr: 3.248091911680799e-05 loss: 0.0768 (0.0790) loss_seg: 0.0788 (0.0849) loss_lansim: 0.1206 (0.1198) loss_contra: 0.0001 (0.0062) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [15] [1230/5278] eta: 2:50:24 lr: 3.247868296882129e-05 loss: 0.0732 (0.0790) loss_seg: 0.0764 (0.0849) loss_lansim: 0.1228 (0.1199) loss_contra: 0.0001 (0.0061) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [15] [1240/5278] eta: 2:49:56 lr: 3.2476446803728014e-05 loss: 0.0768 (0.0790) loss_seg: 0.0788 (0.0849) loss_lansim: 0.1206 (0.1198) loss_contra: 0.0001 (0.0061) time: 2.5175 data: 0.0025 max mem: 31671 Epoch: [15] [1250/5278] eta: 2:49:31 lr: 3.247421062152669e-05 loss: 0.0702 (0.0789) loss_seg: 0.0730 (0.0847) loss_lansim: 0.1173 (0.1197) loss_contra: 0.0001 (0.0062) time: 2.5122 data: 0.0025 max mem: 31671 Epoch: [15] [1260/5278] eta: 2:49:06 lr: 3.2471974422215904e-05 loss: 0.0698 (0.0788) loss_seg: 0.0762 (0.0847) loss_lansim: 0.1177 (0.1197) loss_contra: 0.0001 (0.0064) time: 2.5065 data: 0.0025 max mem: 31671 Epoch: [15] [1270/5278] eta: 2:48:40 lr: 3.2469738205794206e-05 loss: 0.0697 (0.0788) loss_seg: 0.0764 (0.0846) loss_lansim: 0.1193 (0.1197) loss_contra: 0.0001 (0.0063) time: 2.5056 data: 0.0025 max mem: 31671 Epoch: [15] [1280/5278] eta: 2:48:14 lr: 3.246750197226016e-05 loss: 0.0692 (0.0788) loss_seg: 0.0746 (0.0845) loss_lansim: 0.1168 (0.1197) loss_contra: 0.0001 (0.0066) time: 2.5043 data: 0.0025 max mem: 31671 Epoch: [15] [1290/5278] eta: 2:47:49 lr: 3.246526572161232e-05 loss: 0.0698 (0.0788) loss_seg: 0.0765 (0.0846) loss_lansim: 0.1163 (0.1198) loss_contra: 0.0001 (0.0065) time: 2.5057 data: 0.0025 max mem: 31671 Epoch: [15] [1300/5278] eta: 2:47:23 lr: 3.246302945384925e-05 loss: 0.0697 (0.0786) loss_seg: 0.0746 (0.0844) loss_lansim: 0.1162 (0.1198) loss_contra: 0.0002 (0.0065) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [15] [1310/5278] eta: 2:46:57 lr: 3.24607931689695e-05 loss: 0.0670 (0.0787) loss_seg: 0.0700 (0.0844) loss_lansim: 0.1160 (0.1198) loss_contra: 0.0002 (0.0066) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [15] [1320/5278] eta: 2:46:33 lr: 3.245855686697164e-05 loss: 0.0662 (0.0789) loss_seg: 0.0700 (0.0847) loss_lansim: 0.1148 (0.1198) loss_contra: 0.0002 (0.0065) time: 2.5226 data: 0.0024 max mem: 31671 Epoch: [15] [1330/5278] eta: 2:46:06 lr: 3.245632054785421e-05 loss: 0.0670 (0.0789) loss_seg: 0.0703 (0.0847) loss_lansim: 0.1148 (0.1198) loss_contra: 0.0002 (0.0065) time: 2.5067 data: 0.0024 max mem: 31671 Epoch: [15] [1340/5278] eta: 2:45:40 lr: 3.24540842116158e-05 loss: 0.0639 (0.0788) loss_seg: 0.0703 (0.0846) loss_lansim: 0.1163 (0.1199) loss_contra: 0.0002 (0.0066) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [15] [1350/5278] eta: 2:45:14 lr: 3.245184785825494e-05 loss: 0.0639 (0.0789) loss_seg: 0.0703 (0.0847) loss_lansim: 0.1189 (0.1199) loss_contra: 0.0002 (0.0066) time: 2.5115 data: 0.0024 max mem: 31671 Epoch: [15] [1360/5278] eta: 2:44:49 lr: 3.2449611487770196e-05 loss: 0.0654 (0.0792) loss_seg: 0.0706 (0.0851) loss_lansim: 0.1199 (0.1200) loss_contra: 0.0002 (0.0066) time: 2.5094 data: 0.0024 max mem: 31671 Epoch: [15] [1370/5278] eta: 2:44:23 lr: 3.244737510016013e-05 loss: 0.0654 (0.0793) loss_seg: 0.0709 (0.0851) loss_lansim: 0.1193 (0.1200) loss_contra: 0.0003 (0.0066) time: 2.5100 data: 0.0024 max mem: 31671 Epoch: [15] [1380/5278] eta: 2:43:57 lr: 3.24451386954233e-05 loss: 0.0640 (0.0791) loss_seg: 0.0703 (0.0850) loss_lansim: 0.1235 (0.1201) loss_contra: 0.0003 (0.0066) time: 2.5081 data: 0.0024 max mem: 31671 Epoch: [15] [1390/5278] eta: 2:43:31 lr: 3.2442902273558255e-05 loss: 0.0639 (0.0791) loss_seg: 0.0701 (0.0849) loss_lansim: 0.1212 (0.1200) loss_contra: 0.0003 (0.0066) time: 2.5058 data: 0.0024 max mem: 31671 Epoch: [15] [1400/5278] eta: 2:43:06 lr: 3.244066583456356e-05 loss: 0.0654 (0.0793) loss_seg: 0.0719 (0.0851) loss_lansim: 0.1209 (0.1200) loss_contra: 0.0003 (0.0066) time: 2.5094 data: 0.0024 max mem: 31671 Epoch: [15] [1410/5278] eta: 2:42:42 lr: 3.243842937843776e-05 loss: 0.0648 (0.0791) loss_seg: 0.0714 (0.0850) loss_lansim: 0.1209 (0.1200) loss_contra: 0.0003 (0.0065) time: 2.5178 data: 0.0024 max mem: 31671 Epoch: [15] [1420/5278] eta: 2:42:19 lr: 3.243619290517943e-05 loss: 0.0648 (0.0792) loss_seg: 0.0714 (0.0850) loss_lansim: 0.1212 (0.1199) loss_contra: 0.0003 (0.0066) time: 2.5203 data: 0.0024 max mem: 31671 Epoch: [15] [1430/5278] eta: 2:41:52 lr: 3.2433956414787116e-05 loss: 0.0667 (0.0792) loss_seg: 0.0722 (0.0850) loss_lansim: 0.1209 (0.1200) loss_contra: 0.0003 (0.0065) time: 2.5193 data: 0.0024 max mem: 31671 Epoch: [15] [1440/5278] eta: 2:41:25 lr: 3.243171990725937e-05 loss: 0.0699 (0.0793) loss_seg: 0.0764 (0.0852) loss_lansim: 0.1217 (0.1200) loss_contra: 0.0002 (0.0065) time: 2.5156 data: 0.0024 max mem: 31671 Epoch: [15] [1450/5278] eta: 2:40:59 lr: 3.242948338259475e-05 loss: 0.0750 (0.0796) loss_seg: 0.0782 (0.0855) loss_lansim: 0.1209 (0.1201) loss_contra: 0.0002 (0.0065) time: 2.5125 data: 0.0024 max mem: 31671 Epoch: [15] [1460/5278] eta: 2:40:32 lr: 3.242724684079181e-05 loss: 0.0718 (0.0796) loss_seg: 0.0771 (0.0854) loss_lansim: 0.1209 (0.1202) loss_contra: 0.0001 (0.0065) time: 2.5057 data: 0.0024 max mem: 31671 Epoch: [15] [1470/5278] eta: 2:40:06 lr: 3.242501028184911e-05 loss: 0.0712 (0.0795) loss_seg: 0.0769 (0.0854) loss_lansim: 0.1194 (0.1201) loss_contra: 0.0001 (0.0066) time: 2.5063 data: 0.0024 max mem: 31671 Epoch: [15] [1480/5278] eta: 2:39:41 lr: 3.242277370576521e-05 loss: 0.0750 (0.0795) loss_seg: 0.0778 (0.0854) loss_lansim: 0.1186 (0.1202) loss_contra: 0.0001 (0.0067) time: 2.5113 data: 0.0025 max mem: 31671 Epoch: [15] [1490/5278] eta: 2:39:17 lr: 3.242053711253865e-05 loss: 0.0761 (0.0796) loss_seg: 0.0782 (0.0855) loss_lansim: 0.1205 (0.1202) loss_contra: 0.0001 (0.0067) time: 2.5153 data: 0.0025 max mem: 31671 Epoch: [15] [1500/5278] eta: 2:38:52 lr: 3.2418300502168e-05 loss: 0.0734 (0.0796) loss_seg: 0.0782 (0.0855) loss_lansim: 0.1205 (0.1202) loss_contra: 0.0001 (0.0067) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [15] [1510/5278] eta: 2:38:29 lr: 3.24160638746518e-05 loss: 0.0734 (0.0795) loss_seg: 0.0788 (0.0854) loss_lansim: 0.1205 (0.1202) loss_contra: 0.0001 (0.0066) time: 2.5187 data: 0.0025 max mem: 31671 Epoch: [15] [1520/5278] eta: 2:38:03 lr: 3.2413827229988614e-05 loss: 0.0734 (0.0795) loss_seg: 0.0788 (0.0854) loss_lansim: 0.1215 (0.1202) loss_contra: 0.0001 (0.0070) time: 2.5097 data: 0.0025 max mem: 31671 Epoch: [15] [1530/5278] eta: 2:37:38 lr: 3.2411590568176995e-05 loss: 0.0754 (0.0795) loss_seg: 0.0798 (0.0854) loss_lansim: 0.1208 (0.1201) loss_contra: 0.0001 (0.0069) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [15] [1540/5278] eta: 2:37:13 lr: 3.240935388921548e-05 loss: 0.0746 (0.0795) loss_seg: 0.0786 (0.0854) loss_lansim: 0.1186 (0.1201) loss_contra: 0.0002 (0.0069) time: 2.5249 data: 0.0024 max mem: 31671 Epoch: [15] [1550/5278] eta: 2:36:49 lr: 3.240711719310266e-05 loss: 0.0723 (0.0798) loss_seg: 0.0778 (0.0857) loss_lansim: 0.1172 (0.1201) loss_contra: 0.0002 (0.0069) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [15] [1560/5278] eta: 2:36:25 lr: 3.2404880479837054e-05 loss: 0.0728 (0.0798) loss_seg: 0.0795 (0.0857) loss_lansim: 0.1165 (0.1201) loss_contra: 0.0001 (0.0068) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [15] [1570/5278] eta: 2:36:01 lr: 3.240264374941722e-05 loss: 0.0723 (0.0800) loss_seg: 0.0795 (0.0859) loss_lansim: 0.1167 (0.1201) loss_contra: 0.0001 (0.0069) time: 2.5533 data: 0.0024 max mem: 31671 Epoch: [15] [1580/5278] eta: 2:35:37 lr: 3.240040700184173e-05 loss: 0.0723 (0.0799) loss_seg: 0.0795 (0.0859) loss_lansim: 0.1165 (0.1201) loss_contra: 0.0001 (0.0069) time: 2.5547 data: 0.0024 max mem: 31671 Epoch: [15] [1590/5278] eta: 2:35:15 lr: 3.2398170237109115e-05 loss: 0.0730 (0.0799) loss_seg: 0.0798 (0.0858) loss_lansim: 0.1148 (0.1200) loss_contra: 0.0002 (0.0069) time: 2.5680 data: 0.0024 max mem: 31671 Epoch: [15] [1600/5278] eta: 2:34:49 lr: 3.239593345521794e-05 loss: 0.0730 (0.0799) loss_seg: 0.0804 (0.0858) loss_lansim: 0.1148 (0.1200) loss_contra: 0.0002 (0.0069) time: 2.5630 data: 0.0024 max mem: 31671 Epoch: [15] [1610/5278] eta: 2:34:24 lr: 3.239369665616675e-05 loss: 0.0735 (0.0799) loss_seg: 0.0807 (0.0859) loss_lansim: 0.1137 (0.1200) loss_contra: 0.0002 (0.0069) time: 2.5563 data: 0.0024 max mem: 31671 Epoch: [15] [1620/5278] eta: 2:33:58 lr: 3.2391459839954094e-05 loss: 0.0769 (0.0801) loss_seg: 0.0824 (0.0860) loss_lansim: 0.1127 (0.1199) loss_contra: 0.0001 (0.0069) time: 2.5559 data: 0.0024 max mem: 31671 Epoch: [15] [1630/5278] eta: 2:33:34 lr: 3.238922300657853e-05 loss: 0.0730 (0.0800) loss_seg: 0.0796 (0.0860) loss_lansim: 0.1127 (0.1199) loss_contra: 0.0001 (0.0068) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [15] [1640/5278] eta: 2:33:08 lr: 3.2386986156038616e-05 loss: 0.0720 (0.0800) loss_seg: 0.0795 (0.0859) loss_lansim: 0.1126 (0.1199) loss_contra: 0.0001 (0.0068) time: 2.5565 data: 0.0025 max mem: 31671 Epoch: [15] [1650/5278] eta: 2:32:43 lr: 3.238474928833289e-05 loss: 0.0721 (0.0800) loss_seg: 0.0795 (0.0860) loss_lansim: 0.1133 (0.1198) loss_contra: 0.0001 (0.0068) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [15] [1660/5278] eta: 2:32:19 lr: 3.238251240345991e-05 loss: 0.0730 (0.0800) loss_seg: 0.0796 (0.0859) loss_lansim: 0.1133 (0.1198) loss_contra: 0.0001 (0.0068) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [15] [1670/5278] eta: 2:31:54 lr: 3.238027550141822e-05 loss: 0.0730 (0.0800) loss_seg: 0.0796 (0.0859) loss_lansim: 0.1126 (0.1198) loss_contra: 0.0001 (0.0068) time: 2.5480 data: 0.0025 max mem: 31671 Epoch: [15] [1680/5278] eta: 2:31:27 lr: 3.237803858220638e-05 loss: 0.0720 (0.0799) loss_seg: 0.0782 (0.0859) loss_lansim: 0.1133 (0.1198) loss_contra: 0.0001 (0.0067) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [15] [1690/5278] eta: 2:31:00 lr: 3.237580164582293e-05 loss: 0.0715 (0.0799) loss_seg: 0.0760 (0.0858) loss_lansim: 0.1137 (0.1197) loss_contra: 0.0001 (0.0067) time: 2.5169 data: 0.0026 max mem: 31671 Epoch: [15] [1700/5278] eta: 2:30:33 lr: 3.237356469226643e-05 loss: 0.0715 (0.0800) loss_seg: 0.0760 (0.0859) loss_lansim: 0.1161 (0.1197) loss_contra: 0.0000 (0.0067) time: 2.5096 data: 0.0026 max mem: 31671 Epoch: [15] [1710/5278] eta: 2:30:08 lr: 3.237132772153542e-05 loss: 0.0715 (0.0801) loss_seg: 0.0760 (0.0860) loss_lansim: 0.1161 (0.1197) loss_contra: 0.0000 (0.0066) time: 2.5128 data: 0.0026 max mem: 31671 Epoch: [15] [1720/5278] eta: 2:29:43 lr: 3.236909073362846e-05 loss: 0.0673 (0.0800) loss_seg: 0.0716 (0.0859) loss_lansim: 0.1164 (0.1197) loss_contra: 0.0000 (0.0066) time: 2.5119 data: 0.0026 max mem: 31671 Epoch: [15] [1730/5278] eta: 2:29:17 lr: 3.236685372854409e-05 loss: 0.0698 (0.0802) loss_seg: 0.0722 (0.0862) loss_lansim: 0.1163 (0.1197) loss_contra: 0.0000 (0.0066) time: 2.5024 data: 0.0026 max mem: 31671 Epoch: [15] [1740/5278] eta: 2:28:50 lr: 3.236461670628087e-05 loss: 0.0721 (0.0802) loss_seg: 0.0765 (0.0862) loss_lansim: 0.1164 (0.1197) loss_contra: 0.0000 (0.0066) time: 2.4974 data: 0.0026 max mem: 31671 Epoch: [15] [1750/5278] eta: 2:28:24 lr: 3.236237966683732e-05 loss: 0.0721 (0.0803) loss_seg: 0.0795 (0.0863) loss_lansim: 0.1164 (0.1197) loss_contra: 0.0001 (0.0067) time: 2.4939 data: 0.0026 max mem: 31671 Epoch: [15] [1760/5278] eta: 2:27:59 lr: 3.236014261021203e-05 loss: 0.0721 (0.0803) loss_seg: 0.0778 (0.0863) loss_lansim: 0.1174 (0.1197) loss_contra: 0.0001 (0.0067) time: 2.4896 data: 0.0026 max mem: 31671 Epoch: [15] [1770/5278] eta: 2:27:34 lr: 3.235790553640351e-05 loss: 0.0717 (0.0803) loss_seg: 0.0778 (0.0863) loss_lansim: 0.1172 (0.1196) loss_contra: 0.0001 (0.0066) time: 2.4921 data: 0.0026 max mem: 31671 Epoch: [15] [1780/5278] eta: 2:27:09 lr: 3.235566844541034e-05 loss: 0.0726 (0.0803) loss_seg: 0.0795 (0.0863) loss_lansim: 0.1172 (0.1196) loss_contra: 0.0001 (0.0066) time: 2.4991 data: 0.0026 max mem: 31671 Epoch: [15] [1790/5278] eta: 2:26:44 lr: 3.2353431337231056e-05 loss: 0.0767 (0.0803) loss_seg: 0.0804 (0.0863) loss_lansim: 0.1172 (0.1196) loss_contra: 0.0001 (0.0066) time: 2.5057 data: 0.0026 max mem: 31671 Epoch: [15] [1800/5278] eta: 2:26:20 lr: 3.23511942118642e-05 loss: 0.0722 (0.0803) loss_seg: 0.0794 (0.0862) loss_lansim: 0.1175 (0.1196) loss_contra: 0.0002 (0.0066) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [15] [1810/5278] eta: 2:25:56 lr: 3.2348957069308316e-05 loss: 0.0726 (0.0802) loss_seg: 0.0794 (0.0862) loss_lansim: 0.1180 (0.1196) loss_contra: 0.0002 (0.0066) time: 2.5241 data: 0.0026 max mem: 31671 Epoch: [15] [1820/5278] eta: 2:25:30 lr: 3.234671990956196e-05 loss: 0.0726 (0.0802) loss_seg: 0.0794 (0.0861) loss_lansim: 0.1179 (0.1196) loss_contra: 0.0002 (0.0065) time: 2.5249 data: 0.0026 max mem: 31671 Epoch: [15] [1830/5278] eta: 2:25:05 lr: 3.234448273262368e-05 loss: 0.0722 (0.0802) loss_seg: 0.0792 (0.0861) loss_lansim: 0.1179 (0.1197) loss_contra: 0.0002 (0.0065) time: 2.5269 data: 0.0026 max mem: 31671 Epoch: [15] [1840/5278] eta: 2:24:38 lr: 3.2342245538492014e-05 loss: 0.0717 (0.0801) loss_seg: 0.0780 (0.0861) loss_lansim: 0.1179 (0.1197) loss_contra: 0.0002 (0.0065) time: 2.5255 data: 0.0026 max mem: 31671 Epoch: [15] [1850/5278] eta: 2:24:13 lr: 3.2340008327165514e-05 loss: 0.0717 (0.0802) loss_seg: 0.0779 (0.0862) loss_lansim: 0.1174 (0.1196) loss_contra: 0.0002 (0.0065) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [15] [1860/5278] eta: 2:23:47 lr: 3.233777109864273e-05 loss: 0.0705 (0.0803) loss_seg: 0.0743 (0.0862) loss_lansim: 0.1171 (0.1196) loss_contra: 0.0001 (0.0064) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [15] [1870/5278] eta: 2:23:22 lr: 3.2335533852922204e-05 loss: 0.0694 (0.0802) loss_seg: 0.0760 (0.0862) loss_lansim: 0.1174 (0.1196) loss_contra: 0.0001 (0.0064) time: 2.5248 data: 0.0025 max mem: 31671 Epoch: [15] [1880/5278] eta: 2:22:57 lr: 3.233329659000247e-05 loss: 0.0682 (0.0801) loss_seg: 0.0738 (0.0861) loss_lansim: 0.1182 (0.1197) loss_contra: 0.0001 (0.0064) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [15] [1890/5278] eta: 2:22:32 lr: 3.23310593098821e-05 loss: 0.0671 (0.0801) loss_seg: 0.0722 (0.0860) loss_lansim: 0.1182 (0.1196) loss_contra: 0.0001 (0.0064) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [15] [1900/5278] eta: 2:22:07 lr: 3.232882201255962e-05 loss: 0.0658 (0.0803) loss_seg: 0.0679 (0.0863) loss_lansim: 0.1183 (0.1196) loss_contra: 0.0001 (0.0064) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [15] [1910/5278] eta: 2:21:41 lr: 3.232658469803357e-05 loss: 0.0674 (0.0803) loss_seg: 0.0704 (0.0863) loss_lansim: 0.1182 (0.1197) loss_contra: 0.0001 (0.0064) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [15] [1920/5278] eta: 2:21:14 lr: 3.2324347366302515e-05 loss: 0.0690 (0.0804) loss_seg: 0.0750 (0.0864) loss_lansim: 0.1183 (0.1197) loss_contra: 0.0002 (0.0064) time: 2.5061 data: 0.0025 max mem: 31671 Epoch: [15] [1930/5278] eta: 2:20:49 lr: 3.232211001736498e-05 loss: 0.0690 (0.0806) loss_seg: 0.0750 (0.0866) loss_lansim: 0.1194 (0.1197) loss_contra: 0.0002 (0.0066) time: 2.5062 data: 0.0025 max mem: 31671 Epoch: [15] [1940/5278] eta: 2:20:25 lr: 3.2319872651219515e-05 loss: 0.0683 (0.0807) loss_seg: 0.0750 (0.0867) loss_lansim: 0.1183 (0.1197) loss_contra: 0.0002 (0.0065) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [15] [1950/5278] eta: 2:20:00 lr: 3.2317635267864675e-05 loss: 0.0682 (0.0807) loss_seg: 0.0750 (0.0868) loss_lansim: 0.1197 (0.1198) loss_contra: 0.0003 (0.0065) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [15] [1960/5278] eta: 2:19:35 lr: 3.231539786729899e-05 loss: 0.0694 (0.0808) loss_seg: 0.0763 (0.0869) loss_lansim: 0.1198 (0.1198) loss_contra: 0.0003 (0.0065) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [15] [1970/5278] eta: 2:19:11 lr: 3.2313160449521013e-05 loss: 0.0683 (0.0807) loss_seg: 0.0750 (0.0868) loss_lansim: 0.1194 (0.1198) loss_contra: 0.0004 (0.0065) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [15] [1980/5278] eta: 2:18:47 lr: 3.231092301452928e-05 loss: 0.0693 (0.0807) loss_seg: 0.0753 (0.0868) loss_lansim: 0.1191 (0.1198) loss_contra: 0.0003 (0.0065) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [15] [1990/5278] eta: 2:18:21 lr: 3.2308685562322334e-05 loss: 0.0694 (0.0810) loss_seg: 0.0753 (0.0871) loss_lansim: 0.1191 (0.1198) loss_contra: 0.0003 (0.0065) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [15] [2000/5278] eta: 2:17:57 lr: 3.230644809289873e-05 loss: 0.0763 (0.0811) loss_seg: 0.0828 (0.0872) loss_lansim: 0.1187 (0.1198) loss_contra: 0.0003 (0.0064) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [15] [2010/5278] eta: 2:17:31 lr: 3.230421060625699e-05 loss: 0.0763 (0.0812) loss_seg: 0.0817 (0.0874) loss_lansim: 0.1187 (0.1198) loss_contra: 0.0002 (0.0064) time: 2.5385 data: 0.0026 max mem: 31671 Epoch: [15] [2020/5278] eta: 2:17:05 lr: 3.2301973102395675e-05 loss: 0.0757 (0.0813) loss_seg: 0.0808 (0.0874) loss_lansim: 0.1183 (0.1198) loss_contra: 0.0002 (0.0064) time: 2.5441 data: 0.0026 max mem: 31671 Epoch: [15] [2030/5278] eta: 2:16:40 lr: 3.2299735581313325e-05 loss: 0.0757 (0.0813) loss_seg: 0.0808 (0.0874) loss_lansim: 0.1161 (0.1198) loss_contra: 0.0001 (0.0064) time: 2.5466 data: 0.0026 max mem: 31671 Epoch: [15] [2040/5278] eta: 2:16:17 lr: 3.229749804300846e-05 loss: 0.0748 (0.0811) loss_seg: 0.0805 (0.0873) loss_lansim: 0.1161 (0.1197) loss_contra: 0.0001 (0.0064) time: 2.5465 data: 0.0026 max mem: 31671 Epoch: [15] [2050/5278] eta: 2:15:52 lr: 3.229526048747966e-05 loss: 0.0775 (0.0813) loss_seg: 0.0828 (0.0875) loss_lansim: 0.1161 (0.1197) loss_contra: 0.0001 (0.0064) time: 2.5526 data: 0.0026 max mem: 31671 Epoch: [15] [2060/5278] eta: 2:15:26 lr: 3.229302291472543e-05 loss: 0.0748 (0.0813) loss_seg: 0.0817 (0.0875) loss_lansim: 0.1160 (0.1197) loss_contra: 0.0001 (0.0064) time: 2.5450 data: 0.0026 max mem: 31671 Epoch: [15] [2070/5278] eta: 2:15:01 lr: 3.229078532474433e-05 loss: 0.0768 (0.0813) loss_seg: 0.0828 (0.0875) loss_lansim: 0.1161 (0.1197) loss_contra: 0.0001 (0.0064) time: 2.5399 data: 0.0026 max mem: 31671 Epoch: [15] [2080/5278] eta: 2:14:36 lr: 3.228854771753491e-05 loss: 0.0775 (0.0813) loss_seg: 0.0830 (0.0875) loss_lansim: 0.1156 (0.1197) loss_contra: 0.0001 (0.0063) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [15] [2090/5278] eta: 2:14:12 lr: 3.228631009309569e-05 loss: 0.0768 (0.0815) loss_seg: 0.0828 (0.0876) loss_lansim: 0.1156 (0.1196) loss_contra: 0.0001 (0.0063) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [15] [2100/5278] eta: 2:13:47 lr: 3.2284072451425215e-05 loss: 0.0745 (0.0814) loss_seg: 0.0809 (0.0876) loss_lansim: 0.1136 (0.1196) loss_contra: 0.0001 (0.0064) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [15] [2110/5278] eta: 2:13:22 lr: 3.228183479252203e-05 loss: 0.0733 (0.0815) loss_seg: 0.0802 (0.0876) loss_lansim: 0.1156 (0.1196) loss_contra: 0.0001 (0.0063) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [15] [2120/5278] eta: 2:12:57 lr: 3.227959711638467e-05 loss: 0.0727 (0.0816) loss_seg: 0.0798 (0.0878) loss_lansim: 0.1135 (0.1195) loss_contra: 0.0001 (0.0063) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [15] [2130/5278] eta: 2:12:31 lr: 3.227735942301169e-05 loss: 0.0727 (0.0817) loss_seg: 0.0798 (0.0878) loss_lansim: 0.1136 (0.1195) loss_contra: 0.0001 (0.0063) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [15] [2140/5278] eta: 2:12:05 lr: 3.227512171240161e-05 loss: 0.0740 (0.0817) loss_seg: 0.0809 (0.0879) loss_lansim: 0.1162 (0.1195) loss_contra: 0.0001 (0.0063) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [15] [2150/5278] eta: 2:11:41 lr: 3.2272883984552975e-05 loss: 0.0745 (0.0819) loss_seg: 0.0821 (0.0881) loss_lansim: 0.1160 (0.1195) loss_contra: 0.0001 (0.0063) time: 2.5330 data: 0.0024 max mem: 31671 Epoch: [15] [2160/5278] eta: 2:11:15 lr: 3.2270646239464334e-05 loss: 0.0768 (0.0820) loss_seg: 0.0830 (0.0882) loss_lansim: 0.1159 (0.1194) loss_contra: 0.0001 (0.0063) time: 2.5338 data: 0.0024 max mem: 31671 Epoch: [15] [2170/5278] eta: 2:10:49 lr: 3.2268408477134214e-05 loss: 0.0751 (0.0820) loss_seg: 0.0809 (0.0882) loss_lansim: 0.1160 (0.1195) loss_contra: 0.0002 (0.0064) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [15] [2180/5278] eta: 2:10:23 lr: 3.226617069756117e-05 loss: 0.0709 (0.0819) loss_seg: 0.0773 (0.0881) loss_lansim: 0.1160 (0.1195) loss_contra: 0.0002 (0.0064) time: 2.5194 data: 0.0024 max mem: 31671 Epoch: [15] [2190/5278] eta: 2:09:58 lr: 3.2263932900743715e-05 loss: 0.0793 (0.0820) loss_seg: 0.0824 (0.0882) loss_lansim: 0.1159 (0.1194) loss_contra: 0.0002 (0.0064) time: 2.5180 data: 0.0024 max mem: 31671 Epoch: [15] [2200/5278] eta: 2:09:33 lr: 3.22616950866804e-05 loss: 0.0820 (0.0820) loss_seg: 0.0824 (0.0882) loss_lansim: 0.1155 (0.1194) loss_contra: 0.0002 (0.0065) time: 2.5179 data: 0.0024 max mem: 31671 Epoch: [15] [2210/5278] eta: 2:09:09 lr: 3.2259457255369775e-05 loss: 0.0820 (0.0820) loss_seg: 0.0824 (0.0882) loss_lansim: 0.1131 (0.1193) loss_contra: 0.0002 (0.0064) time: 2.5168 data: 0.0025 max mem: 31671 Epoch: [15] [2220/5278] eta: 2:08:43 lr: 3.225721940681036e-05 loss: 0.0825 (0.0820) loss_seg: 0.0845 (0.0882) loss_lansim: 0.1140 (0.1193) loss_contra: 0.0003 (0.0064) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [15] [2230/5278] eta: 2:08:18 lr: 3.225498154100069e-05 loss: 0.0751 (0.0820) loss_seg: 0.0802 (0.0882) loss_lansim: 0.1133 (0.1192) loss_contra: 0.0004 (0.0064) time: 2.5229 data: 0.0024 max mem: 31671 Epoch: [15] [2240/5278] eta: 2:07:51 lr: 3.225274365793933e-05 loss: 0.0813 (0.0820) loss_seg: 0.0814 (0.0883) loss_lansim: 0.1115 (0.1192) loss_contra: 0.0002 (0.0064) time: 2.5138 data: 0.0024 max mem: 31671 Epoch: [15] [2250/5278] eta: 2:07:27 lr: 3.225050575762478e-05 loss: 0.0696 (0.0820) loss_seg: 0.0747 (0.0882) loss_lansim: 0.1112 (0.1191) loss_contra: 0.0002 (0.0064) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [15] [2260/5278] eta: 2:07:01 lr: 3.224826784005561e-05 loss: 0.0696 (0.0820) loss_seg: 0.0747 (0.0882) loss_lansim: 0.1103 (0.1191) loss_contra: 0.0002 (0.0064) time: 2.5125 data: 0.0025 max mem: 31671 Epoch: [15] [2270/5278] eta: 2:06:35 lr: 3.2246029905230327e-05 loss: 0.0696 (0.0820) loss_seg: 0.0748 (0.0882) loss_lansim: 0.1087 (0.1191) loss_contra: 0.0001 (0.0063) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [15] [2280/5278] eta: 2:06:11 lr: 3.2243791953147487e-05 loss: 0.0696 (0.0820) loss_seg: 0.0770 (0.0883) loss_lansim: 0.1068 (0.1190) loss_contra: 0.0001 (0.0063) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [15] [2290/5278] eta: 2:05:45 lr: 3.2241553983805625e-05 loss: 0.0676 (0.0821) loss_seg: 0.0739 (0.0883) loss_lansim: 0.1047 (0.1189) loss_contra: 0.0001 (0.0063) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [15] [2300/5278] eta: 2:05:21 lr: 3.2239315997203265e-05 loss: 0.0696 (0.0821) loss_seg: 0.0748 (0.0883) loss_lansim: 0.1047 (0.1188) loss_contra: 0.0001 (0.0063) time: 2.5268 data: 0.0024 max mem: 31671 Epoch: [15] [2310/5278] eta: 2:04:55 lr: 3.223707799333896e-05 loss: 0.0676 (0.0820) loss_seg: 0.0736 (0.0882) loss_lansim: 0.1044 (0.1188) loss_contra: 0.0001 (0.0064) time: 2.5203 data: 0.0024 max mem: 31671 Epoch: [15] [2320/5278] eta: 2:04:30 lr: 3.223483997221123e-05 loss: 0.0666 (0.0819) loss_seg: 0.0721 (0.0881) loss_lansim: 0.1040 (0.1187) loss_contra: 0.0002 (0.0064) time: 2.5228 data: 0.0024 max mem: 31671 Epoch: [15] [2330/5278] eta: 2:04:05 lr: 3.2232601933818604e-05 loss: 0.0676 (0.0819) loss_seg: 0.0736 (0.0881) loss_lansim: 0.1035 (0.1187) loss_contra: 0.0001 (0.0064) time: 2.5214 data: 0.0024 max mem: 31671 Epoch: [15] [2340/5278] eta: 2:03:41 lr: 3.223036387815965e-05 loss: 0.0653 (0.0819) loss_seg: 0.0703 (0.0881) loss_lansim: 0.1035 (0.1186) loss_contra: 0.0001 (0.0064) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [15] [2350/5278] eta: 2:03:15 lr: 3.222812580523286e-05 loss: 0.0653 (0.0819) loss_seg: 0.0715 (0.0881) loss_lansim: 0.1037 (0.1186) loss_contra: 0.0001 (0.0064) time: 2.5366 data: 0.0024 max mem: 31671 Epoch: [15] [2360/5278] eta: 2:02:50 lr: 3.22258877150368e-05 loss: 0.0640 (0.0819) loss_seg: 0.0702 (0.0881) loss_lansim: 0.1055 (0.1186) loss_contra: 0.0001 (0.0064) time: 2.5435 data: 0.0024 max mem: 31671 Epoch: [15] [2370/5278] eta: 2:02:25 lr: 3.222364960756999e-05 loss: 0.0640 (0.0818) loss_seg: 0.0702 (0.0880) loss_lansim: 0.1033 (0.1185) loss_contra: 0.0001 (0.0064) time: 2.5446 data: 0.0024 max mem: 31671 Epoch: [15] [2380/5278] eta: 2:02:00 lr: 3.222141148283097e-05 loss: 0.0667 (0.0820) loss_seg: 0.0736 (0.0882) loss_lansim: 0.1037 (0.1185) loss_contra: 0.0002 (0.0064) time: 2.5373 data: 0.0024 max mem: 31671 Epoch: [15] [2390/5278] eta: 2:01:34 lr: 3.2219173340818266e-05 loss: 0.0667 (0.0820) loss_seg: 0.0732 (0.0882) loss_lansim: 0.1062 (0.1184) loss_contra: 0.0002 (0.0064) time: 2.5395 data: 0.0024 max mem: 31671 Epoch: [15] [2400/5278] eta: 2:01:09 lr: 3.2216935181530425e-05 loss: 0.0664 (0.0819) loss_seg: 0.0715 (0.0881) loss_lansim: 0.1058 (0.1184) loss_contra: 0.0002 (0.0063) time: 2.5325 data: 0.0024 max mem: 31671 Epoch: [15] [2410/5278] eta: 2:00:44 lr: 3.221469700496596e-05 loss: 0.0671 (0.0820) loss_seg: 0.0722 (0.0882) loss_lansim: 0.1055 (0.1183) loss_contra: 0.0001 (0.0063) time: 2.5353 data: 0.0024 max mem: 31671 Epoch: [15] [2420/5278] eta: 2:00:19 lr: 3.2212458811123414e-05 loss: 0.0677 (0.0819) loss_seg: 0.0732 (0.0881) loss_lansim: 0.1051 (0.1183) loss_contra: 0.0001 (0.0064) time: 2.5386 data: 0.0024 max mem: 31671 Epoch: [15] [2430/5278] eta: 1:59:53 lr: 3.2210220600001324e-05 loss: 0.0705 (0.0820) loss_seg: 0.0746 (0.0882) loss_lansim: 0.1055 (0.1182) loss_contra: 0.0001 (0.0064) time: 2.5343 data: 0.0024 max mem: 31671 Epoch: [15] [2440/5278] eta: 1:59:28 lr: 3.2207982371598224e-05 loss: 0.0709 (0.0820) loss_seg: 0.0752 (0.0882) loss_lansim: 0.1055 (0.1182) loss_contra: 0.0001 (0.0064) time: 2.5243 data: 0.0024 max mem: 31671 Epoch: [15] [2450/5278] eta: 1:59:03 lr: 3.220574412591264e-05 loss: 0.0731 (0.0820) loss_seg: 0.0757 (0.0882) loss_lansim: 0.1055 (0.1181) loss_contra: 0.0001 (0.0064) time: 2.5263 data: 0.0024 max mem: 31671 Epoch: [15] [2460/5278] eta: 1:58:37 lr: 3.22035058629431e-05 loss: 0.0692 (0.0819) loss_seg: 0.0752 (0.0881) loss_lansim: 0.1055 (0.1181) loss_contra: 0.0001 (0.0063) time: 2.5229 data: 0.0024 max mem: 31671 Epoch: [15] [2470/5278] eta: 1:58:12 lr: 3.220126758268814e-05 loss: 0.0695 (0.0819) loss_seg: 0.0752 (0.0881) loss_lansim: 0.1055 (0.1181) loss_contra: 0.0001 (0.0063) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [15] [2480/5278] eta: 1:57:47 lr: 3.21990292851463e-05 loss: 0.0682 (0.0819) loss_seg: 0.0732 (0.0881) loss_lansim: 0.1055 (0.1180) loss_contra: 0.0001 (0.0063) time: 2.5248 data: 0.0025 max mem: 31671 Epoch: [15] [2490/5278] eta: 1:57:23 lr: 3.21967909703161e-05 loss: 0.0682 (0.0818) loss_seg: 0.0729 (0.0880) loss_lansim: 0.1038 (0.1180) loss_contra: 0.0001 (0.0063) time: 2.5380 data: 0.0025 max mem: 31671 Epoch: [15] [2500/5278] eta: 1:56:58 lr: 3.219455263819608e-05 loss: 0.0692 (0.0819) loss_seg: 0.0754 (0.0881) loss_lansim: 0.1049 (0.1179) loss_contra: 0.0001 (0.0063) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [15] [2510/5278] eta: 1:56:33 lr: 3.2192314288784755e-05 loss: 0.0695 (0.0820) loss_seg: 0.0757 (0.0882) loss_lansim: 0.1059 (0.1179) loss_contra: 0.0001 (0.0063) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [15] [2520/5278] eta: 1:56:08 lr: 3.219007592208067e-05 loss: 0.0695 (0.0819) loss_seg: 0.0757 (0.0882) loss_lansim: 0.1059 (0.1178) loss_contra: 0.0002 (0.0063) time: 2.5421 data: 0.0025 max mem: 31671 Epoch: [15] [2530/5278] eta: 1:55:42 lr: 3.218783753808236e-05 loss: 0.0682 (0.0819) loss_seg: 0.0752 (0.0881) loss_lansim: 0.1059 (0.1178) loss_contra: 0.0001 (0.0062) time: 2.5399 data: 0.0025 max mem: 31671 Epoch: [15] [2540/5278] eta: 1:55:16 lr: 3.218559913678833e-05 loss: 0.0686 (0.0818) loss_seg: 0.0752 (0.0880) loss_lansim: 0.1035 (0.1177) loss_contra: 0.0002 (0.0062) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [15] [2550/5278] eta: 1:54:52 lr: 3.218336071819714e-05 loss: 0.0688 (0.0818) loss_seg: 0.0752 (0.0880) loss_lansim: 0.1035 (0.1177) loss_contra: 0.0002 (0.0062) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [15] [2560/5278] eta: 1:54:27 lr: 3.21811222823073e-05 loss: 0.0710 (0.0819) loss_seg: 0.0772 (0.0881) loss_lansim: 0.1035 (0.1176) loss_contra: 0.0002 (0.0063) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [15] [2570/5278] eta: 1:54:01 lr: 3.217888382911735e-05 loss: 0.0719 (0.0820) loss_seg: 0.0785 (0.0882) loss_lansim: 0.1029 (0.1176) loss_contra: 0.0002 (0.0063) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [15] [2580/5278] eta: 1:53:36 lr: 3.217664535862582e-05 loss: 0.0773 (0.0821) loss_seg: 0.0806 (0.0883) loss_lansim: 0.1029 (0.1175) loss_contra: 0.0002 (0.0063) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [15] [2590/5278] eta: 1:53:10 lr: 3.217440687083122e-05 loss: 0.0732 (0.0821) loss_seg: 0.0806 (0.0884) loss_lansim: 0.1029 (0.1174) loss_contra: 0.0002 (0.0063) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [15] [2600/5278] eta: 1:52:46 lr: 3.21721683657321e-05 loss: 0.0740 (0.0821) loss_seg: 0.0806 (0.0884) loss_lansim: 0.1028 (0.1174) loss_contra: 0.0002 (0.0063) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [15] [2610/5278] eta: 1:52:20 lr: 3.216992984332698e-05 loss: 0.0732 (0.0822) loss_seg: 0.0805 (0.0885) loss_lansim: 0.1028 (0.1173) loss_contra: 0.0001 (0.0062) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [15] [2620/5278] eta: 1:51:55 lr: 3.2167691303614375e-05 loss: 0.0732 (0.0822) loss_seg: 0.0795 (0.0885) loss_lansim: 0.1022 (0.1173) loss_contra: 0.0001 (0.0062) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [15] [2630/5278] eta: 1:51:30 lr: 3.216545274659284e-05 loss: 0.0740 (0.0822) loss_seg: 0.0795 (0.0885) loss_lansim: 0.1019 (0.1172) loss_contra: 0.0001 (0.0062) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [15] [2640/5278] eta: 1:51:04 lr: 3.216321417226089e-05 loss: 0.0784 (0.0822) loss_seg: 0.0809 (0.0885) loss_lansim: 0.1028 (0.1172) loss_contra: 0.0001 (0.0062) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [15] [2650/5278] eta: 1:50:40 lr: 3.216097558061705e-05 loss: 0.0784 (0.0822) loss_seg: 0.0809 (0.0885) loss_lansim: 0.1024 (0.1171) loss_contra: 0.0001 (0.0063) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [15] [2660/5278] eta: 1:50:14 lr: 3.2158736971659845e-05 loss: 0.0734 (0.0822) loss_seg: 0.0777 (0.0885) loss_lansim: 0.1024 (0.1171) loss_contra: 0.0001 (0.0063) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [15] [2670/5278] eta: 1:49:49 lr: 3.215649834538781e-05 loss: 0.0734 (0.0822) loss_seg: 0.0777 (0.0885) loss_lansim: 0.1020 (0.1170) loss_contra: 0.0001 (0.0063) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [15] [2680/5278] eta: 1:49:23 lr: 3.215425970179946e-05 loss: 0.0713 (0.0822) loss_seg: 0.0772 (0.0885) loss_lansim: 0.1021 (0.1170) loss_contra: 0.0001 (0.0063) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [15] [2690/5278] eta: 1:48:57 lr: 3.215202104089333e-05 loss: 0.0730 (0.0822) loss_seg: 0.0768 (0.0885) loss_lansim: 0.1021 (0.1169) loss_contra: 0.0001 (0.0062) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [15] [2700/5278] eta: 1:48:32 lr: 3.214978236266795e-05 loss: 0.0696 (0.0822) loss_seg: 0.0758 (0.0885) loss_lansim: 0.1039 (0.1169) loss_contra: 0.0001 (0.0062) time: 2.5099 data: 0.0025 max mem: 31671 Epoch: [15] [2710/5278] eta: 1:48:07 lr: 3.214754366712184e-05 loss: 0.0694 (0.0821) loss_seg: 0.0753 (0.0884) loss_lansim: 0.1039 (0.1168) loss_contra: 0.0001 (0.0062) time: 2.5159 data: 0.0024 max mem: 31671 Epoch: [15] [2720/5278] eta: 1:47:42 lr: 3.214530495425353e-05 loss: 0.0694 (0.0822) loss_seg: 0.0758 (0.0885) loss_lansim: 0.1039 (0.1168) loss_contra: 0.0001 (0.0062) time: 2.5276 data: 0.0024 max mem: 31671 Epoch: [15] [2730/5278] eta: 1:47:17 lr: 3.2143066224061534e-05 loss: 0.0702 (0.0821) loss_seg: 0.0765 (0.0884) loss_lansim: 0.1039 (0.1167) loss_contra: 0.0001 (0.0062) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [15] [2740/5278] eta: 1:46:52 lr: 3.21408274765444e-05 loss: 0.0694 (0.0821) loss_seg: 0.0759 (0.0884) loss_lansim: 0.1025 (0.1167) loss_contra: 0.0001 (0.0062) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [15] [2750/5278] eta: 1:46:26 lr: 3.213858871170062e-05 loss: 0.0722 (0.0822) loss_seg: 0.0765 (0.0884) loss_lansim: 0.1025 (0.1166) loss_contra: 0.0001 (0.0062) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [15] [2760/5278] eta: 1:46:02 lr: 3.213634992952875e-05 loss: 0.0722 (0.0821) loss_seg: 0.0761 (0.0884) loss_lansim: 0.1008 (0.1166) loss_contra: 0.0002 (0.0062) time: 2.5321 data: 0.0024 max mem: 31671 Epoch: [15] [2770/5278] eta: 1:45:37 lr: 3.21341111300273e-05 loss: 0.0702 (0.0822) loss_seg: 0.0759 (0.0885) loss_lansim: 0.1025 (0.1165) loss_contra: 0.0001 (0.0062) time: 2.5324 data: 0.0024 max mem: 31671 Epoch: [15] [2780/5278] eta: 1:45:11 lr: 3.2131872313194796e-05 loss: 0.0683 (0.0821) loss_seg: 0.0752 (0.0884) loss_lansim: 0.1008 (0.1165) loss_contra: 0.0002 (0.0062) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [15] [2790/5278] eta: 1:44:46 lr: 3.212963347902976e-05 loss: 0.0744 (0.0823) loss_seg: 0.0777 (0.0886) loss_lansim: 0.1015 (0.1164) loss_contra: 0.0002 (0.0062) time: 2.5369 data: 0.0024 max mem: 31671 Epoch: [15] [2800/5278] eta: 1:44:21 lr: 3.212739462753072e-05 loss: 0.0744 (0.0822) loss_seg: 0.0777 (0.0885) loss_lansim: 0.1010 (0.1164) loss_contra: 0.0002 (0.0062) time: 2.5402 data: 0.0024 max mem: 31671 Epoch: [15] [2810/5278] eta: 1:43:56 lr: 3.21251557586962e-05 loss: 0.0724 (0.0822) loss_seg: 0.0777 (0.0885) loss_lansim: 0.0997 (0.1163) loss_contra: 0.0002 (0.0063) time: 2.5460 data: 0.0024 max mem: 31671 Epoch: [15] [2820/5278] eta: 1:43:31 lr: 3.212291687252472e-05 loss: 0.0720 (0.0822) loss_seg: 0.0777 (0.0885) loss_lansim: 0.0997 (0.1163) loss_contra: 0.0002 (0.0062) time: 2.5384 data: 0.0024 max mem: 31671 Epoch: [15] [2830/5278] eta: 1:43:05 lr: 3.21206779690148e-05 loss: 0.0678 (0.0822) loss_seg: 0.0748 (0.0884) loss_lansim: 0.0998 (0.1162) loss_contra: 0.0002 (0.0064) time: 2.5349 data: 0.0024 max mem: 31671 Epoch: [15] [2840/5278] eta: 1:42:39 lr: 3.211843904816498e-05 loss: 0.0677 (0.0822) loss_seg: 0.0748 (0.0884) loss_lansim: 0.1010 (0.1162) loss_contra: 0.0002 (0.0063) time: 2.5287 data: 0.0024 max mem: 31671 Epoch: [15] [2850/5278] eta: 1:42:14 lr: 3.211620010997375e-05 loss: 0.0660 (0.0821) loss_seg: 0.0730 (0.0883) loss_lansim: 0.1017 (0.1162) loss_contra: 0.0002 (0.0064) time: 2.5312 data: 0.0024 max mem: 31671 Epoch: [15] [2860/5278] eta: 1:41:49 lr: 3.211396115443967e-05 loss: 0.0660 (0.0821) loss_seg: 0.0730 (0.0883) loss_lansim: 0.1018 (0.1162) loss_contra: 0.0002 (0.0063) time: 2.5182 data: 0.0024 max mem: 31671 Epoch: [15] [2870/5278] eta: 1:41:24 lr: 3.211172218156124e-05 loss: 0.0678 (0.0821) loss_seg: 0.0748 (0.0884) loss_lansim: 0.1020 (0.1161) loss_contra: 0.0002 (0.0063) time: 2.5276 data: 0.0024 max mem: 31671 Epoch: [15] [2880/5278] eta: 1:40:58 lr: 3.2109483191336986e-05 loss: 0.0678 (0.0821) loss_seg: 0.0748 (0.0884) loss_lansim: 0.1037 (0.1161) loss_contra: 0.0001 (0.0064) time: 2.5221 data: 0.0024 max mem: 31671 Epoch: [15] [2890/5278] eta: 1:40:32 lr: 3.210724418376543e-05 loss: 0.0638 (0.0821) loss_seg: 0.0681 (0.0884) loss_lansim: 0.1037 (0.1161) loss_contra: 0.0001 (0.0064) time: 2.5180 data: 0.0023 max mem: 31671 Epoch: [15] [2900/5278] eta: 1:40:07 lr: 3.210500515884509e-05 loss: 0.0644 (0.0821) loss_seg: 0.0701 (0.0883) loss_lansim: 0.1035 (0.1160) loss_contra: 0.0001 (0.0064) time: 2.5142 data: 0.0023 max mem: 31671 Epoch: [15] [2910/5278] eta: 1:39:41 lr: 3.210276611657449e-05 loss: 0.0640 (0.0820) loss_seg: 0.0684 (0.0883) loss_lansim: 0.1053 (0.1160) loss_contra: 0.0001 (0.0065) time: 2.5024 data: 0.0024 max mem: 31671 Epoch: [15] [2920/5278] eta: 1:39:16 lr: 3.2100527056952153e-05 loss: 0.0631 (0.0820) loss_seg: 0.0666 (0.0882) loss_lansim: 0.1054 (0.1160) loss_contra: 0.0001 (0.0065) time: 2.5027 data: 0.0024 max mem: 31671 Epoch: [15] [2930/5278] eta: 1:38:50 lr: 3.2098287979976606e-05 loss: 0.0631 (0.0820) loss_seg: 0.0672 (0.0882) loss_lansim: 0.1070 (0.1160) loss_contra: 0.0001 (0.0065) time: 2.4980 data: 0.0025 max mem: 31671 Epoch: [15] [2940/5278] eta: 1:38:25 lr: 3.209604888564636e-05 loss: 0.0640 (0.0820) loss_seg: 0.0679 (0.0882) loss_lansim: 0.1063 (0.1160) loss_contra: 0.0001 (0.0065) time: 2.5022 data: 0.0025 max mem: 31671 Epoch: [15] [2950/5278] eta: 1:38:00 lr: 3.209380977395993e-05 loss: 0.0648 (0.0820) loss_seg: 0.0700 (0.0882) loss_lansim: 0.1062 (0.1159) loss_contra: 0.0002 (0.0066) time: 2.5084 data: 0.0025 max mem: 31671 Epoch: [15] [2960/5278] eta: 1:37:35 lr: 3.2091570644915844e-05 loss: 0.0682 (0.0820) loss_seg: 0.0703 (0.0883) loss_lansim: 0.1063 (0.1159) loss_contra: 0.0002 (0.0066) time: 2.5120 data: 0.0026 max mem: 31671 Epoch: [15] [2970/5278] eta: 1:37:09 lr: 3.2089331498512624e-05 loss: 0.0644 (0.0820) loss_seg: 0.0679 (0.0882) loss_lansim: 0.1063 (0.1159) loss_contra: 0.0002 (0.0066) time: 2.4933 data: 0.0026 max mem: 31671 Epoch: [15] [2980/5278] eta: 1:36:43 lr: 3.208709233474879e-05 loss: 0.0677 (0.0820) loss_seg: 0.0700 (0.0882) loss_lansim: 0.1071 (0.1159) loss_contra: 0.0002 (0.0066) time: 2.4994 data: 0.0026 max mem: 31671 Epoch: [15] [2990/5278] eta: 1:36:18 lr: 3.208485315362285e-05 loss: 0.0691 (0.0820) loss_seg: 0.0747 (0.0882) loss_lansim: 0.1076 (0.1158) loss_contra: 0.0001 (0.0067) time: 2.5043 data: 0.0026 max mem: 31671 Epoch: [15] [3000/5278] eta: 1:35:53 lr: 3.208261395513334e-05 loss: 0.0674 (0.0820) loss_seg: 0.0720 (0.0882) loss_lansim: 0.1071 (0.1158) loss_contra: 0.0001 (0.0067) time: 2.5071 data: 0.0026 max mem: 31671 Epoch: [15] [3010/5278] eta: 1:35:28 lr: 3.208037473927876e-05 loss: 0.0677 (0.0820) loss_seg: 0.0730 (0.0882) loss_lansim: 0.1068 (0.1158) loss_contra: 0.0001 (0.0068) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [15] [3020/5278] eta: 1:35:03 lr: 3.207813550605764e-05 loss: 0.0683 (0.0820) loss_seg: 0.0754 (0.0882) loss_lansim: 0.1071 (0.1157) loss_contra: 0.0001 (0.0067) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [15] [3030/5278] eta: 1:34:38 lr: 3.207589625546851e-05 loss: 0.0685 (0.0819) loss_seg: 0.0755 (0.0882) loss_lansim: 0.1068 (0.1157) loss_contra: 0.0002 (0.0068) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [15] [3040/5278] eta: 1:34:13 lr: 3.207365698750986e-05 loss: 0.0687 (0.0819) loss_seg: 0.0754 (0.0882) loss_lansim: 0.1074 (0.1157) loss_contra: 0.0001 (0.0067) time: 2.5356 data: 0.0024 max mem: 31671 Epoch: [15] [3050/5278] eta: 1:33:47 lr: 3.207141770218023e-05 loss: 0.0677 (0.0820) loss_seg: 0.0733 (0.0883) loss_lansim: 0.1076 (0.1157) loss_contra: 0.0001 (0.0067) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [15] [3060/5278] eta: 1:33:23 lr: 3.206917839947812e-05 loss: 0.0662 (0.0820) loss_seg: 0.0687 (0.0883) loss_lansim: 0.1078 (0.1157) loss_contra: 0.0001 (0.0068) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [15] [3070/5278] eta: 1:32:58 lr: 3.2066939079402064e-05 loss: 0.0677 (0.0820) loss_seg: 0.0730 (0.0883) loss_lansim: 0.1078 (0.1156) loss_contra: 0.0001 (0.0068) time: 2.5508 data: 0.0024 max mem: 31671 Epoch: [15] [3080/5278] eta: 1:32:32 lr: 3.206469974195058e-05 loss: 0.0662 (0.0820) loss_seg: 0.0714 (0.0883) loss_lansim: 0.1068 (0.1156) loss_contra: 0.0001 (0.0068) time: 2.5468 data: 0.0024 max mem: 31671 Epoch: [15] [3090/5278] eta: 1:32:08 lr: 3.206246038712216e-05 loss: 0.0647 (0.0819) loss_seg: 0.0678 (0.0882) loss_lansim: 0.1068 (0.1156) loss_contra: 0.0001 (0.0068) time: 2.5547 data: 0.0024 max mem: 31671 Epoch: [15] [3100/5278] eta: 1:31:43 lr: 3.206022101491535e-05 loss: 0.0662 (0.0820) loss_seg: 0.0714 (0.0883) loss_lansim: 0.1077 (0.1155) loss_contra: 0.0001 (0.0068) time: 2.5602 data: 0.0025 max mem: 31671 Epoch: [15] [3110/5278] eta: 1:31:18 lr: 3.205798162532865e-05 loss: 0.0648 (0.0820) loss_seg: 0.0714 (0.0883) loss_lansim: 0.1084 (0.1155) loss_contra: 0.0002 (0.0068) time: 2.5569 data: 0.0025 max mem: 31671 Epoch: [15] [3120/5278] eta: 1:30:53 lr: 3.205574221836058e-05 loss: 0.0681 (0.0820) loss_seg: 0.0695 (0.0883) loss_lansim: 0.1085 (0.1155) loss_contra: 0.0001 (0.0067) time: 2.5560 data: 0.0025 max mem: 31671 Epoch: [15] [3130/5278] eta: 1:30:27 lr: 3.205350279400966e-05 loss: 0.0681 (0.0820) loss_seg: 0.0685 (0.0882) loss_lansim: 0.1091 (0.1155) loss_contra: 0.0001 (0.0068) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [15] [3140/5278] eta: 1:30:01 lr: 3.2051263352274404e-05 loss: 0.0647 (0.0819) loss_seg: 0.0678 (0.0882) loss_lansim: 0.1089 (0.1155) loss_contra: 0.0001 (0.0068) time: 2.5426 data: 0.0026 max mem: 31671 Epoch: [15] [3150/5278] eta: 1:29:36 lr: 3.2049023893153316e-05 loss: 0.0615 (0.0819) loss_seg: 0.0657 (0.0881) loss_lansim: 0.1085 (0.1155) loss_contra: 0.0001 (0.0068) time: 2.5449 data: 0.0026 max mem: 31671 Epoch: [15] [3160/5278] eta: 1:29:11 lr: 3.204678441664493e-05 loss: 0.0681 (0.0818) loss_seg: 0.0695 (0.0881) loss_lansim: 0.1090 (0.1155) loss_contra: 0.0001 (0.0068) time: 2.5436 data: 0.0026 max mem: 31671 Epoch: [15] [3170/5278] eta: 1:28:46 lr: 3.204454492274775e-05 loss: 0.0687 (0.0819) loss_seg: 0.0714 (0.0882) loss_lansim: 0.1091 (0.1155) loss_contra: 0.0001 (0.0068) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [15] [3180/5278] eta: 1:28:21 lr: 3.2042305411460285e-05 loss: 0.0681 (0.0820) loss_seg: 0.0695 (0.0883) loss_lansim: 0.1094 (0.1155) loss_contra: 0.0001 (0.0068) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [15] [3190/5278] eta: 1:27:56 lr: 3.2040065882781054e-05 loss: 0.0688 (0.0820) loss_seg: 0.0716 (0.0883) loss_lansim: 0.1096 (0.1155) loss_contra: 0.0002 (0.0068) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [15] [3200/5278] eta: 1:27:31 lr: 3.2037826336708585e-05 loss: 0.0688 (0.0821) loss_seg: 0.0716 (0.0884) loss_lansim: 0.1111 (0.1155) loss_contra: 0.0002 (0.0068) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [15] [3210/5278] eta: 1:27:06 lr: 3.203558677324138e-05 loss: 0.0688 (0.0821) loss_seg: 0.0716 (0.0884) loss_lansim: 0.1120 (0.1155) loss_contra: 0.0002 (0.0068) time: 2.5399 data: 0.0025 max mem: 31671 Epoch: [15] [3220/5278] eta: 1:26:40 lr: 3.203334719237795e-05 loss: 0.0681 (0.0821) loss_seg: 0.0705 (0.0884) loss_lansim: 0.1124 (0.1155) loss_contra: 0.0002 (0.0068) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [15] [3230/5278] eta: 1:26:14 lr: 3.203110759411681e-05 loss: 0.0682 (0.0821) loss_seg: 0.0716 (0.0884) loss_lansim: 0.1125 (0.1155) loss_contra: 0.0002 (0.0068) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [15] [3240/5278] eta: 1:25:49 lr: 3.2028867978456476e-05 loss: 0.0682 (0.0820) loss_seg: 0.0716 (0.0883) loss_lansim: 0.1148 (0.1155) loss_contra: 0.0002 (0.0070) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [15] [3250/5278] eta: 1:25:24 lr: 3.202662834539546e-05 loss: 0.0682 (0.0820) loss_seg: 0.0751 (0.0883) loss_lansim: 0.1170 (0.1155) loss_contra: 0.0002 (0.0070) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [15] [3260/5278] eta: 1:24:59 lr: 3.2024388694932276e-05 loss: 0.0661 (0.0820) loss_seg: 0.0707 (0.0883) loss_lansim: 0.1174 (0.1155) loss_contra: 0.0002 (0.0070) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [15] [3270/5278] eta: 1:24:34 lr: 3.2022149027065434e-05 loss: 0.0635 (0.0819) loss_seg: 0.0688 (0.0882) loss_lansim: 0.1174 (0.1155) loss_contra: 0.0003 (0.0071) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [15] [3280/5278] eta: 1:24:08 lr: 3.201990934179345e-05 loss: 0.0628 (0.0819) loss_seg: 0.0678 (0.0882) loss_lansim: 0.1185 (0.1156) loss_contra: 0.0003 (0.0071) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [15] [3290/5278] eta: 1:23:43 lr: 3.201766963911483e-05 loss: 0.0621 (0.0819) loss_seg: 0.0677 (0.0882) loss_lansim: 0.1198 (0.1156) loss_contra: 0.0003 (0.0071) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [15] [3300/5278] eta: 1:23:18 lr: 3.2015429919028096e-05 loss: 0.0627 (0.0819) loss_seg: 0.0686 (0.0882) loss_lansim: 0.1198 (0.1156) loss_contra: 0.0003 (0.0071) time: 2.5122 data: 0.0024 max mem: 31671 Epoch: [15] [3310/5278] eta: 1:22:52 lr: 3.201319018153175e-05 loss: 0.0628 (0.0819) loss_seg: 0.0688 (0.0882) loss_lansim: 0.1207 (0.1157) loss_contra: 0.0004 (0.0071) time: 2.5169 data: 0.0024 max mem: 31671 Epoch: [15] [3320/5278] eta: 1:22:27 lr: 3.201095042662431e-05 loss: 0.0628 (0.0819) loss_seg: 0.0688 (0.0881) loss_lansim: 0.1203 (0.1157) loss_contra: 0.0003 (0.0071) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [15] [3330/5278] eta: 1:22:02 lr: 3.2008710654304266e-05 loss: 0.0628 (0.0818) loss_seg: 0.0688 (0.0881) loss_lansim: 0.1210 (0.1157) loss_contra: 0.0003 (0.0071) time: 2.5307 data: 0.0024 max mem: 31671 Epoch: [15] [3340/5278] eta: 1:21:37 lr: 3.2006470864570165e-05 loss: 0.0655 (0.0819) loss_seg: 0.0722 (0.0881) loss_lansim: 0.1222 (0.1157) loss_contra: 0.0003 (0.0071) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [15] [3350/5278] eta: 1:21:11 lr: 3.200423105742049e-05 loss: 0.0657 (0.0819) loss_seg: 0.0723 (0.0881) loss_lansim: 0.1222 (0.1157) loss_contra: 0.0003 (0.0071) time: 2.5250 data: 0.0024 max mem: 31671 Epoch: [15] [3360/5278] eta: 1:20:46 lr: 3.200199123285376e-05 loss: 0.0660 (0.0819) loss_seg: 0.0729 (0.0882) loss_lansim: 0.1222 (0.1157) loss_contra: 0.0003 (0.0071) time: 2.5237 data: 0.0024 max mem: 31671 Epoch: [15] [3370/5278] eta: 1:20:21 lr: 3.1999751390868494e-05 loss: 0.0686 (0.0819) loss_seg: 0.0754 (0.0882) loss_lansim: 0.1234 (0.1158) loss_contra: 0.0004 (0.0070) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [15] [3380/5278] eta: 1:19:55 lr: 3.199751153146318e-05 loss: 0.0725 (0.0819) loss_seg: 0.0763 (0.0882) loss_lansim: 0.1227 (0.1158) loss_contra: 0.0003 (0.0070) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [15] [3390/5278] eta: 1:19:30 lr: 3.199527165463635e-05 loss: 0.0728 (0.0819) loss_seg: 0.0765 (0.0882) loss_lansim: 0.1231 (0.1159) loss_contra: 0.0003 (0.0075) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [15] [3400/5278] eta: 1:19:04 lr: 3.1993031760386506e-05 loss: 0.0728 (0.0819) loss_seg: 0.0765 (0.0881) loss_lansim: 0.1241 (0.1159) loss_contra: 0.0003 (0.0074) time: 2.5136 data: 0.0025 max mem: 31671 Epoch: [15] [3410/5278] eta: 1:18:39 lr: 3.199079184871214e-05 loss: 0.0703 (0.0819) loss_seg: 0.0763 (0.0882) loss_lansim: 0.1231 (0.1159) loss_contra: 0.0003 (0.0075) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [15] [3420/5278] eta: 1:18:14 lr: 3.1988551919611785e-05 loss: 0.0714 (0.0819) loss_seg: 0.0765 (0.0882) loss_lansim: 0.1216 (0.1160) loss_contra: 0.0003 (0.0075) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [15] [3430/5278] eta: 1:17:49 lr: 3.1986311973083944e-05 loss: 0.0725 (0.0820) loss_seg: 0.0770 (0.0882) loss_lansim: 0.1214 (0.1160) loss_contra: 0.0003 (0.0074) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [15] [3440/5278] eta: 1:17:24 lr: 3.198407200912711e-05 loss: 0.0703 (0.0819) loss_seg: 0.0763 (0.0882) loss_lansim: 0.1216 (0.1160) loss_contra: 0.0003 (0.0075) time: 2.5254 data: 0.0026 max mem: 31671 Epoch: [15] [3450/5278] eta: 1:16:58 lr: 3.1981832027739814e-05 loss: 0.0698 (0.0819) loss_seg: 0.0729 (0.0882) loss_lansim: 0.1238 (0.1161) loss_contra: 0.0003 (0.0075) time: 2.5210 data: 0.0025 max mem: 31671 Epoch: [15] [3460/5278] eta: 1:16:34 lr: 3.1979592028920543e-05 loss: 0.0692 (0.0819) loss_seg: 0.0725 (0.0882) loss_lansim: 0.1241 (0.1161) loss_contra: 0.0002 (0.0074) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [15] [3470/5278] eta: 1:16:08 lr: 3.197735201266783e-05 loss: 0.0664 (0.0820) loss_seg: 0.0709 (0.0882) loss_lansim: 0.1247 (0.1161) loss_contra: 0.0001 (0.0075) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [15] [3480/5278] eta: 1:15:43 lr: 3.197511197898016e-05 loss: 0.0664 (0.0820) loss_seg: 0.0717 (0.0882) loss_lansim: 0.1240 (0.1162) loss_contra: 0.0001 (0.0075) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [15] [3490/5278] eta: 1:15:18 lr: 3.197287192785604e-05 loss: 0.0658 (0.0820) loss_seg: 0.0709 (0.0883) loss_lansim: 0.1240 (0.1162) loss_contra: 0.0001 (0.0075) time: 2.5334 data: 0.0025 max mem: 31671 Epoch: [15] [3500/5278] eta: 1:14:52 lr: 3.197063185929399e-05 loss: 0.0671 (0.0820) loss_seg: 0.0725 (0.0883) loss_lansim: 0.1208 (0.1162) loss_contra: 0.0001 (0.0075) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [15] [3510/5278] eta: 1:14:27 lr: 3.196839177329251e-05 loss: 0.0653 (0.0820) loss_seg: 0.0709 (0.0883) loss_lansim: 0.1223 (0.1162) loss_contra: 0.0001 (0.0075) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [15] [3520/5278] eta: 1:14:02 lr: 3.1966151669850106e-05 loss: 0.0682 (0.0820) loss_seg: 0.0717 (0.0883) loss_lansim: 0.1225 (0.1162) loss_contra: 0.0001 (0.0075) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [15] [3530/5278] eta: 1:13:36 lr: 3.196391154896529e-05 loss: 0.0664 (0.0820) loss_seg: 0.0709 (0.0883) loss_lansim: 0.1225 (0.1162) loss_contra: 0.0001 (0.0075) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [15] [3540/5278] eta: 1:13:11 lr: 3.196167141063655e-05 loss: 0.0684 (0.0820) loss_seg: 0.0712 (0.0883) loss_lansim: 0.1219 (0.1163) loss_contra: 0.0001 (0.0075) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [15] [3550/5278] eta: 1:12:46 lr: 3.195943125486242e-05 loss: 0.0703 (0.0820) loss_seg: 0.0754 (0.0883) loss_lansim: 0.1219 (0.1163) loss_contra: 0.0001 (0.0075) time: 2.5288 data: 0.0026 max mem: 31671 Epoch: [15] [3560/5278] eta: 1:12:21 lr: 3.1957191081641374e-05 loss: 0.0703 (0.0820) loss_seg: 0.0754 (0.0883) loss_lansim: 0.1219 (0.1163) loss_contra: 0.0001 (0.0074) time: 2.5292 data: 0.0026 max mem: 31671 Epoch: [15] [3570/5278] eta: 1:11:56 lr: 3.195495089097194e-05 loss: 0.0703 (0.0820) loss_seg: 0.0754 (0.0883) loss_lansim: 0.1219 (0.1164) loss_contra: 0.0001 (0.0074) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [15] [3580/5278] eta: 1:11:30 lr: 3.195271068285262e-05 loss: 0.0696 (0.0820) loss_seg: 0.0754 (0.0883) loss_lansim: 0.1219 (0.1164) loss_contra: 0.0001 (0.0074) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [15] [3590/5278] eta: 1:11:05 lr: 3.1950470457281914e-05 loss: 0.0696 (0.0820) loss_seg: 0.0733 (0.0883) loss_lansim: 0.1219 (0.1164) loss_contra: 0.0001 (0.0074) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [15] [3600/5278] eta: 1:10:40 lr: 3.194823021425833e-05 loss: 0.0653 (0.0819) loss_seg: 0.0703 (0.0882) loss_lansim: 0.1224 (0.1165) loss_contra: 0.0001 (0.0074) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [15] [3610/5278] eta: 1:10:14 lr: 3.194598995378036e-05 loss: 0.0654 (0.0819) loss_seg: 0.0712 (0.0882) loss_lansim: 0.1229 (0.1165) loss_contra: 0.0001 (0.0074) time: 2.5229 data: 0.0025 max mem: 31671 Epoch: [15] [3620/5278] eta: 1:09:49 lr: 3.194374967584652e-05 loss: 0.0636 (0.0820) loss_seg: 0.0697 (0.0883) loss_lansim: 0.1237 (0.1165) loss_contra: 0.0002 (0.0074) time: 2.5230 data: 0.0025 max mem: 31671 Epoch: [15] [3630/5278] eta: 1:09:24 lr: 3.194150938045532e-05 loss: 0.0637 (0.0820) loss_seg: 0.0699 (0.0883) loss_lansim: 0.1224 (0.1165) loss_contra: 0.0001 (0.0074) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [15] [3640/5278] eta: 1:08:59 lr: 3.1939269067605246e-05 loss: 0.0624 (0.0819) loss_seg: 0.0685 (0.0882) loss_lansim: 0.1226 (0.1165) loss_contra: 0.0001 (0.0073) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [15] [3650/5278] eta: 1:08:33 lr: 3.1937028737294814e-05 loss: 0.0634 (0.0819) loss_seg: 0.0691 (0.0882) loss_lansim: 0.1226 (0.1166) loss_contra: 0.0001 (0.0074) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [15] [3660/5278] eta: 1:08:08 lr: 3.193478838952253e-05 loss: 0.0637 (0.0820) loss_seg: 0.0699 (0.0883) loss_lansim: 0.1237 (0.1166) loss_contra: 0.0001 (0.0074) time: 2.5114 data: 0.0025 max mem: 31671 Epoch: [15] [3670/5278] eta: 1:07:42 lr: 3.193254802428688e-05 loss: 0.0691 (0.0821) loss_seg: 0.0726 (0.0884) loss_lansim: 0.1228 (0.1166) loss_contra: 0.0002 (0.0073) time: 2.5055 data: 0.0026 max mem: 31671 Epoch: [15] [3680/5278] eta: 1:07:17 lr: 3.1930307641586374e-05 loss: 0.0700 (0.0821) loss_seg: 0.0761 (0.0884) loss_lansim: 0.1226 (0.1166) loss_contra: 0.0002 (0.0073) time: 2.5101 data: 0.0026 max mem: 31671 Epoch: [15] [3690/5278] eta: 1:06:51 lr: 3.192806724141952e-05 loss: 0.0700 (0.0821) loss_seg: 0.0761 (0.0884) loss_lansim: 0.1228 (0.1167) loss_contra: 0.0002 (0.0073) time: 2.5093 data: 0.0026 max mem: 31671 Epoch: [15] [3700/5278] eta: 1:06:26 lr: 3.192582682378482e-05 loss: 0.0721 (0.0821) loss_seg: 0.0775 (0.0884) loss_lansim: 0.1219 (0.1167) loss_contra: 0.0002 (0.0073) time: 2.5113 data: 0.0026 max mem: 31671 Epoch: [15] [3710/5278] eta: 1:06:01 lr: 3.1923586388680775e-05 loss: 0.0738 (0.0822) loss_seg: 0.0765 (0.0885) loss_lansim: 0.1219 (0.1167) loss_contra: 0.0002 (0.0073) time: 2.5058 data: 0.0026 max mem: 31671 Epoch: [15] [3720/5278] eta: 1:05:35 lr: 3.192134593610588e-05 loss: 0.0698 (0.0821) loss_seg: 0.0727 (0.0884) loss_lansim: 0.1218 (0.1167) loss_contra: 0.0002 (0.0073) time: 2.5029 data: 0.0026 max mem: 31671 Epoch: [15] [3730/5278] eta: 1:05:10 lr: 3.191910546605863e-05 loss: 0.0691 (0.0821) loss_seg: 0.0727 (0.0884) loss_lansim: 0.1241 (0.1167) loss_contra: 0.0002 (0.0072) time: 2.5126 data: 0.0026 max mem: 31671 Epoch: [15] [3740/5278] eta: 1:04:45 lr: 3.191686497853756e-05 loss: 0.0712 (0.0821) loss_seg: 0.0761 (0.0884) loss_lansim: 0.1205 (0.1167) loss_contra: 0.0002 (0.0072) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [15] [3750/5278] eta: 1:04:20 lr: 3.191462447354112e-05 loss: 0.0673 (0.0820) loss_seg: 0.0713 (0.0883) loss_lansim: 0.1182 (0.1167) loss_contra: 0.0002 (0.0072) time: 2.5151 data: 0.0025 max mem: 31671 Epoch: [15] [3760/5278] eta: 1:03:55 lr: 3.1912383951067854e-05 loss: 0.0673 (0.0822) loss_seg: 0.0713 (0.0885) loss_lansim: 0.1171 (0.1167) loss_contra: 0.0001 (0.0072) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [15] [3770/5278] eta: 1:03:30 lr: 3.1910143411116246e-05 loss: 0.0643 (0.0821) loss_seg: 0.0701 (0.0884) loss_lansim: 0.1167 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [15] [3780/5278] eta: 1:03:05 lr: 3.1907902853684784e-05 loss: 0.0637 (0.0821) loss_seg: 0.0687 (0.0883) loss_lansim: 0.1152 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [15] [3790/5278] eta: 1:02:39 lr: 3.190566227877199e-05 loss: 0.0638 (0.0821) loss_seg: 0.0693 (0.0884) loss_lansim: 0.1140 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [15] [3800/5278] eta: 1:02:14 lr: 3.190342168637635e-05 loss: 0.0646 (0.0820) loss_seg: 0.0701 (0.0883) loss_lansim: 0.1144 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5276 data: 0.0024 max mem: 31671 Epoch: [15] [3810/5278] eta: 1:01:49 lr: 3.1901181076496366e-05 loss: 0.0649 (0.0820) loss_seg: 0.0706 (0.0883) loss_lansim: 0.1152 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [15] [3820/5278] eta: 1:01:23 lr: 3.189894044913054e-05 loss: 0.0673 (0.0821) loss_seg: 0.0732 (0.0883) loss_lansim: 0.1143 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5382 data: 0.0024 max mem: 31671 Epoch: [15] [3830/5278] eta: 1:00:58 lr: 3.1896699804277366e-05 loss: 0.0674 (0.0821) loss_seg: 0.0732 (0.0884) loss_lansim: 0.1131 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5268 data: 0.0024 max mem: 31671 Epoch: [15] [3840/5278] eta: 1:00:32 lr: 3.1894459141935345e-05 loss: 0.0686 (0.0821) loss_seg: 0.0752 (0.0884) loss_lansim: 0.1122 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5236 data: 0.0024 max mem: 31671 Epoch: [15] [3850/5278] eta: 1:00:07 lr: 3.1892218462102973e-05 loss: 0.0739 (0.0821) loss_seg: 0.0796 (0.0884) loss_lansim: 0.1144 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [15] [3860/5278] eta: 0:59:42 lr: 3.1889977764778755e-05 loss: 0.0727 (0.0821) loss_seg: 0.0796 (0.0884) loss_lansim: 0.1144 (0.1167) loss_contra: 0.0002 (0.0073) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [15] [3870/5278] eta: 0:59:17 lr: 3.1887737049961186e-05 loss: 0.0727 (0.0821) loss_seg: 0.0783 (0.0884) loss_lansim: 0.1153 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5197 data: 0.0025 max mem: 31671 Epoch: [15] [3880/5278] eta: 0:58:52 lr: 3.1885496317648754e-05 loss: 0.0750 (0.0821) loss_seg: 0.0815 (0.0884) loss_lansim: 0.1158 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [15] [3890/5278] eta: 0:58:26 lr: 3.188325556783996e-05 loss: 0.0739 (0.0821) loss_seg: 0.0803 (0.0884) loss_lansim: 0.1161 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5230 data: 0.0025 max mem: 31671 Epoch: [15] [3900/5278] eta: 0:58:01 lr: 3.1881014800533326e-05 loss: 0.0739 (0.0821) loss_seg: 0.0803 (0.0884) loss_lansim: 0.1162 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [15] [3910/5278] eta: 0:57:36 lr: 3.187877401572731e-05 loss: 0.0721 (0.0820) loss_seg: 0.0753 (0.0883) loss_lansim: 0.1157 (0.1167) loss_contra: 0.0002 (0.0075) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [15] [3920/5278] eta: 0:57:11 lr: 3.1876533213420436e-05 loss: 0.0685 (0.0820) loss_seg: 0.0752 (0.0883) loss_lansim: 0.1157 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5413 data: 0.0026 max mem: 31671 Epoch: [15] [3930/5278] eta: 0:56:46 lr: 3.187429239361118e-05 loss: 0.0682 (0.0820) loss_seg: 0.0752 (0.0882) loss_lansim: 0.1149 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5466 data: 0.0026 max mem: 31671 Epoch: [15] [3940/5278] eta: 0:56:21 lr: 3.187205155629805e-05 loss: 0.0663 (0.0819) loss_seg: 0.0730 (0.0882) loss_lansim: 0.1149 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5485 data: 0.0026 max mem: 31671 Epoch: [15] [3950/5278] eta: 0:55:55 lr: 3.1869810701479556e-05 loss: 0.0665 (0.0819) loss_seg: 0.0731 (0.0882) loss_lansim: 0.1137 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5366 data: 0.0026 max mem: 31671 Epoch: [15] [3960/5278] eta: 0:55:30 lr: 3.1867569829154164e-05 loss: 0.0595 (0.0819) loss_seg: 0.0651 (0.0881) loss_lansim: 0.1139 (0.1167) loss_contra: 0.0001 (0.0074) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [15] [3970/5278] eta: 0:55:04 lr: 3.18653289393204e-05 loss: 0.0663 (0.0819) loss_seg: 0.0688 (0.0881) loss_lansim: 0.1137 (0.1167) loss_contra: 0.0001 (0.0074) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [15] [3980/5278] eta: 0:54:39 lr: 3.1863088031976724e-05 loss: 0.0663 (0.0820) loss_seg: 0.0688 (0.0882) loss_lansim: 0.1139 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [15] [3990/5278] eta: 0:54:14 lr: 3.1860847107121655e-05 loss: 0.0685 (0.0820) loss_seg: 0.0730 (0.0883) loss_lansim: 0.1131 (0.1167) loss_contra: 0.0002 (0.0074) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [15] [4000/5278] eta: 0:53:48 lr: 3.185860616475369e-05 loss: 0.0698 (0.0820) loss_seg: 0.0732 (0.0883) loss_lansim: 0.1131 (0.1167) loss_contra: 0.0001 (0.0073) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [15] [4010/5278] eta: 0:53:23 lr: 3.185636520487131e-05 loss: 0.0714 (0.0820) loss_seg: 0.0735 (0.0883) loss_lansim: 0.1122 (0.1166) loss_contra: 0.0001 (0.0073) time: 2.5067 data: 0.0025 max mem: 31671 Epoch: [15] [4020/5278] eta: 0:52:57 lr: 3.185412422747301e-05 loss: 0.0744 (0.0820) loss_seg: 0.0809 (0.0882) loss_lansim: 0.1123 (0.1166) loss_contra: 0.0001 (0.0073) time: 2.4968 data: 0.0025 max mem: 31671 Epoch: [15] [4030/5278] eta: 0:52:32 lr: 3.1851883232557306e-05 loss: 0.0744 (0.0820) loss_seg: 0.0794 (0.0882) loss_lansim: 0.1131 (0.1166) loss_contra: 0.0001 (0.0073) time: 2.4908 data: 0.0025 max mem: 31671 Epoch: [15] [4040/5278] eta: 0:52:07 lr: 3.1849642220122656e-05 loss: 0.0753 (0.0819) loss_seg: 0.0809 (0.0882) loss_lansim: 0.1149 (0.1166) loss_contra: 0.0001 (0.0073) time: 2.4829 data: 0.0025 max mem: 31671 Epoch: [15] [4050/5278] eta: 0:51:41 lr: 3.184740119016759e-05 loss: 0.0745 (0.0819) loss_seg: 0.0772 (0.0882) loss_lansim: 0.1137 (0.1166) loss_contra: 0.0002 (0.0073) time: 2.4811 data: 0.0024 max mem: 31671 Epoch: [15] [4060/5278] eta: 0:51:16 lr: 3.184516014269057e-05 loss: 0.0745 (0.0819) loss_seg: 0.0794 (0.0882) loss_lansim: 0.1135 (0.1166) loss_contra: 0.0002 (0.0073) time: 2.4730 data: 0.0024 max mem: 31671 Epoch: [15] [4070/5278] eta: 0:50:50 lr: 3.18429190776901e-05 loss: 0.0716 (0.0820) loss_seg: 0.0772 (0.0882) loss_lansim: 0.1135 (0.1166) loss_contra: 0.0002 (0.0073) time: 2.4830 data: 0.0024 max mem: 31671 Epoch: [15] [4080/5278] eta: 0:50:25 lr: 3.184067799516468e-05 loss: 0.0732 (0.0820) loss_seg: 0.0772 (0.0883) loss_lansim: 0.1135 (0.1166) loss_contra: 0.0001 (0.0072) time: 2.4741 data: 0.0024 max mem: 31671 Epoch: [15] [4090/5278] eta: 0:49:59 lr: 3.18384368951128e-05 loss: 0.0732 (0.0820) loss_seg: 0.0744 (0.0883) loss_lansim: 0.1131 (0.1166) loss_contra: 0.0001 (0.0072) time: 2.4698 data: 0.0024 max mem: 31671 Epoch: [15] [4100/5278] eta: 0:49:34 lr: 3.1836195777532943e-05 loss: 0.0704 (0.0821) loss_seg: 0.0724 (0.0883) loss_lansim: 0.1130 (0.1166) loss_contra: 0.0001 (0.0072) time: 2.4631 data: 0.0024 max mem: 31671 Epoch: [15] [4110/5278] eta: 0:49:09 lr: 3.1833954642423616e-05 loss: 0.0704 (0.0821) loss_seg: 0.0740 (0.0884) loss_lansim: 0.1134 (0.1166) loss_contra: 0.0002 (0.0072) time: 2.4674 data: 0.0024 max mem: 31671 Epoch: [15] [4120/5278] eta: 0:48:43 lr: 3.183171348978329e-05 loss: 0.0685 (0.0821) loss_seg: 0.0723 (0.0884) loss_lansim: 0.1130 (0.1166) loss_contra: 0.0002 (0.0072) time: 2.4637 data: 0.0024 max mem: 31671 Epoch: [15] [4130/5278] eta: 0:48:18 lr: 3.1829472319610475e-05 loss: 0.0656 (0.0821) loss_seg: 0.0716 (0.0883) loss_lansim: 0.1121 (0.1165) loss_contra: 0.0002 (0.0072) time: 2.4682 data: 0.0024 max mem: 31671 Epoch: [15] [4140/5278] eta: 0:47:53 lr: 3.1827231131903654e-05 loss: 0.0655 (0.0821) loss_seg: 0.0692 (0.0883) loss_lansim: 0.1120 (0.1165) loss_contra: 0.0002 (0.0072) time: 2.4740 data: 0.0024 max mem: 31671 Epoch: [15] [4150/5278] eta: 0:47:28 lr: 3.182498992666132e-05 loss: 0.0646 (0.0820) loss_seg: 0.0659 (0.0883) loss_lansim: 0.1128 (0.1165) loss_contra: 0.0001 (0.0072) time: 2.4922 data: 0.0024 max mem: 31671 Epoch: [15] [4160/5278] eta: 0:47:02 lr: 3.182274870388197e-05 loss: 0.0654 (0.0820) loss_seg: 0.0670 (0.0883) loss_lansim: 0.1120 (0.1165) loss_contra: 0.0001 (0.0072) time: 2.4959 data: 0.0025 max mem: 31671 Epoch: [15] [4170/5278] eta: 0:46:37 lr: 3.1820507463564067e-05 loss: 0.0655 (0.0820) loss_seg: 0.0680 (0.0883) loss_lansim: 0.1118 (0.1165) loss_contra: 0.0002 (0.0072) time: 2.4964 data: 0.0025 max mem: 31671 Epoch: [15] [4180/5278] eta: 0:46:12 lr: 3.181826620570614e-05 loss: 0.0623 (0.0820) loss_seg: 0.0659 (0.0882) loss_lansim: 0.1109 (0.1165) loss_contra: 0.0002 (0.0072) time: 2.5077 data: 0.0025 max mem: 31671 Epoch: [15] [4190/5278] eta: 0:45:47 lr: 3.1816024930306654e-05 loss: 0.0617 (0.0819) loss_seg: 0.0650 (0.0882) loss_lansim: 0.1109 (0.1165) loss_contra: 0.0002 (0.0072) time: 2.5166 data: 0.0025 max mem: 31671 Epoch: [15] [4200/5278] eta: 0:45:22 lr: 3.18137836373641e-05 loss: 0.0604 (0.0819) loss_seg: 0.0650 (0.0881) loss_lansim: 0.1112 (0.1165) loss_contra: 0.0002 (0.0072) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [15] [4210/5278] eta: 0:44:56 lr: 3.181154232687699e-05 loss: 0.0591 (0.0819) loss_seg: 0.0636 (0.0882) loss_lansim: 0.1106 (0.1164) loss_contra: 0.0002 (0.0072) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [15] [4220/5278] eta: 0:44:31 lr: 3.1809300998843776e-05 loss: 0.0587 (0.0819) loss_seg: 0.0635 (0.0881) loss_lansim: 0.1112 (0.1164) loss_contra: 0.0002 (0.0072) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [15] [4230/5278] eta: 0:44:06 lr: 3.180705965326298e-05 loss: 0.0591 (0.0818) loss_seg: 0.0647 (0.0881) loss_lansim: 0.1109 (0.1164) loss_contra: 0.0002 (0.0072) time: 2.5498 data: 0.0024 max mem: 31671 Epoch: [15] [4240/5278] eta: 0:43:41 lr: 3.180481829013307e-05 loss: 0.0607 (0.0819) loss_seg: 0.0659 (0.0881) loss_lansim: 0.1105 (0.1164) loss_contra: 0.0002 (0.0072) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [15] [4250/5278] eta: 0:43:16 lr: 3.180257690945254e-05 loss: 0.0639 (0.0820) loss_seg: 0.0706 (0.0882) loss_lansim: 0.1107 (0.1164) loss_contra: 0.0002 (0.0072) time: 2.5452 data: 0.0025 max mem: 31671 Epoch: [15] [4260/5278] eta: 0:42:50 lr: 3.180033551121989e-05 loss: 0.0632 (0.0819) loss_seg: 0.0695 (0.0882) loss_lansim: 0.1111 (0.1164) loss_contra: 0.0002 (0.0072) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [15] [4270/5278] eta: 0:42:25 lr: 3.179809409543359e-05 loss: 0.0624 (0.0819) loss_seg: 0.0670 (0.0882) loss_lansim: 0.1102 (0.1164) loss_contra: 0.0002 (0.0071) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [15] [4280/5278] eta: 0:42:00 lr: 3.179585266209213e-05 loss: 0.0658 (0.0819) loss_seg: 0.0690 (0.0882) loss_lansim: 0.1112 (0.1164) loss_contra: 0.0002 (0.0071) time: 2.5657 data: 0.0024 max mem: 31671 Epoch: [15] [4290/5278] eta: 0:41:35 lr: 3.179361121119402e-05 loss: 0.0683 (0.0819) loss_seg: 0.0726 (0.0882) loss_lansim: 0.1117 (0.1164) loss_contra: 0.0002 (0.0071) time: 2.5626 data: 0.0024 max mem: 31671 Epoch: [15] [4300/5278] eta: 0:41:10 lr: 3.1791369742737717e-05 loss: 0.0677 (0.0819) loss_seg: 0.0690 (0.0882) loss_lansim: 0.1132 (0.1164) loss_contra: 0.0002 (0.0071) time: 2.5598 data: 0.0024 max mem: 31671 Epoch: [15] [4310/5278] eta: 0:40:45 lr: 3.178912825672172e-05 loss: 0.0677 (0.0819) loss_seg: 0.0695 (0.0881) loss_lansim: 0.1147 (0.1164) loss_contra: 0.0001 (0.0071) time: 2.5591 data: 0.0025 max mem: 31671 Epoch: [15] [4320/5278] eta: 0:40:20 lr: 3.178688675314453e-05 loss: 0.0683 (0.0819) loss_seg: 0.0726 (0.0881) loss_lansim: 0.1139 (0.1164) loss_contra: 0.0001 (0.0071) time: 2.5719 data: 0.0025 max mem: 31671 Epoch: [15] [4330/5278] eta: 0:39:54 lr: 3.17846452320046e-05 loss: 0.0684 (0.0819) loss_seg: 0.0733 (0.0881) loss_lansim: 0.1139 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5733 data: 0.0025 max mem: 31671 Epoch: [15] [4340/5278] eta: 0:39:29 lr: 3.1782403693300456e-05 loss: 0.0684 (0.0819) loss_seg: 0.0690 (0.0881) loss_lansim: 0.1143 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [15] [4350/5278] eta: 0:39:04 lr: 3.178016213703055e-05 loss: 0.0683 (0.0819) loss_seg: 0.0691 (0.0881) loss_lansim: 0.1139 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5552 data: 0.0025 max mem: 31671 Epoch: [15] [4360/5278] eta: 0:38:38 lr: 3.177792056319339e-05 loss: 0.0683 (0.0819) loss_seg: 0.0690 (0.0881) loss_lansim: 0.1139 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [15] [4370/5278] eta: 0:38:13 lr: 3.177567897178745e-05 loss: 0.0677 (0.0818) loss_seg: 0.0688 (0.0880) loss_lansim: 0.1145 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [15] [4380/5278] eta: 0:37:48 lr: 3.1773437362811226e-05 loss: 0.0665 (0.0819) loss_seg: 0.0688 (0.0881) loss_lansim: 0.1145 (0.1164) loss_contra: 0.0001 (0.0071) time: 2.5411 data: 0.0025 max mem: 31671 Epoch: [15] [4390/5278] eta: 0:37:23 lr: 3.177119573626319e-05 loss: 0.0621 (0.0818) loss_seg: 0.0657 (0.0880) loss_lansim: 0.1141 (0.1164) loss_contra: 0.0001 (0.0072) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [15] [4400/5278] eta: 0:36:58 lr: 3.176895409214183e-05 loss: 0.0621 (0.0818) loss_seg: 0.0659 (0.0880) loss_lansim: 0.1136 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [15] [4410/5278] eta: 0:36:32 lr: 3.176671243044563e-05 loss: 0.0607 (0.0818) loss_seg: 0.0655 (0.0880) loss_lansim: 0.1127 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [15] [4420/5278] eta: 0:36:07 lr: 3.1764470751173085e-05 loss: 0.0618 (0.0818) loss_seg: 0.0666 (0.0880) loss_lansim: 0.1127 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [15] [4430/5278] eta: 0:35:42 lr: 3.176222905432267e-05 loss: 0.0626 (0.0818) loss_seg: 0.0680 (0.0880) loss_lansim: 0.1140 (0.1164) loss_contra: 0.0001 (0.0071) time: 2.5095 data: 0.0025 max mem: 31671 Epoch: [15] [4440/5278] eta: 0:35:16 lr: 3.175998733989287e-05 loss: 0.0628 (0.0819) loss_seg: 0.0689 (0.0881) loss_lansim: 0.1140 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [15] [4450/5278] eta: 0:34:51 lr: 3.1757745607882165e-05 loss: 0.0618 (0.0819) loss_seg: 0.0666 (0.0881) loss_lansim: 0.1138 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5169 data: 0.0026 max mem: 31671 Epoch: [15] [4460/5278] eta: 0:34:26 lr: 3.175550385828904e-05 loss: 0.0618 (0.0818) loss_seg: 0.0659 (0.0880) loss_lansim: 0.1135 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5305 data: 0.0026 max mem: 31671 Epoch: [15] [4470/5278] eta: 0:34:00 lr: 3.175326209111198e-05 loss: 0.0633 (0.0818) loss_seg: 0.0673 (0.0881) loss_lansim: 0.1133 (0.1163) loss_contra: 0.0001 (0.0071) time: 2.5182 data: 0.0026 max mem: 31671 Epoch: [15] [4480/5278] eta: 0:33:35 lr: 3.175102030634947e-05 loss: 0.0633 (0.0818) loss_seg: 0.0692 (0.0880) loss_lansim: 0.1124 (0.1163) loss_contra: 0.0001 (0.0070) time: 2.5193 data: 0.0026 max mem: 31671 Epoch: [15] [4490/5278] eta: 0:33:10 lr: 3.174877850399999e-05 loss: 0.0642 (0.0818) loss_seg: 0.0706 (0.0880) loss_lansim: 0.1111 (0.1163) loss_contra: 0.0001 (0.0070) time: 2.5238 data: 0.0026 max mem: 31671 Epoch: [15] [4500/5278] eta: 0:32:45 lr: 3.1746536684062016e-05 loss: 0.0687 (0.0819) loss_seg: 0.0720 (0.0881) loss_lansim: 0.1116 (0.1163) loss_contra: 0.0001 (0.0070) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [15] [4510/5278] eta: 0:32:20 lr: 3.174429484653404e-05 loss: 0.0678 (0.0819) loss_seg: 0.0712 (0.0881) loss_lansim: 0.1116 (0.1163) loss_contra: 0.0001 (0.0070) time: 2.5404 data: 0.0026 max mem: 31671 Epoch: [15] [4520/5278] eta: 0:31:54 lr: 3.174205299141454e-05 loss: 0.0652 (0.0819) loss_seg: 0.0710 (0.0881) loss_lansim: 0.1116 (0.1163) loss_contra: 0.0001 (0.0070) time: 2.5366 data: 0.0026 max mem: 31671 Epoch: [15] [4530/5278] eta: 0:31:29 lr: 3.1739811118702e-05 loss: 0.0634 (0.0818) loss_seg: 0.0693 (0.0881) loss_lansim: 0.1105 (0.1163) loss_contra: 0.0001 (0.0070) time: 2.5356 data: 0.0026 max mem: 31671 Epoch: [15] [4540/5278] eta: 0:31:04 lr: 3.173756922839488e-05 loss: 0.0638 (0.0819) loss_seg: 0.0692 (0.0881) loss_lansim: 0.1098 (0.1162) loss_contra: 0.0001 (0.0070) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [15] [4550/5278] eta: 0:30:39 lr: 3.1735327320491695e-05 loss: 0.0645 (0.0819) loss_seg: 0.0698 (0.0881) loss_lansim: 0.1086 (0.1162) loss_contra: 0.0001 (0.0070) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [15] [4560/5278] eta: 0:30:13 lr: 3.1733085394990906e-05 loss: 0.0663 (0.0819) loss_seg: 0.0725 (0.0881) loss_lansim: 0.1095 (0.1162) loss_contra: 0.0001 (0.0070) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [15] [4570/5278] eta: 0:29:48 lr: 3.1730843451890995e-05 loss: 0.0677 (0.0819) loss_seg: 0.0727 (0.0881) loss_lansim: 0.1095 (0.1162) loss_contra: 0.0001 (0.0069) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [15] [4580/5278] eta: 0:29:23 lr: 3.172860149119045e-05 loss: 0.0662 (0.0819) loss_seg: 0.0727 (0.0881) loss_lansim: 0.1104 (0.1162) loss_contra: 0.0001 (0.0069) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [15] [4590/5278] eta: 0:28:57 lr: 3.172635951288774e-05 loss: 0.0663 (0.0819) loss_seg: 0.0731 (0.0882) loss_lansim: 0.1104 (0.1162) loss_contra: 0.0001 (0.0069) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [15] [4600/5278] eta: 0:28:32 lr: 3.172411751698135e-05 loss: 0.0663 (0.0820) loss_seg: 0.0731 (0.0883) loss_lansim: 0.1105 (0.1162) loss_contra: 0.0001 (0.0069) time: 2.5142 data: 0.0025 max mem: 31671 Epoch: [15] [4610/5278] eta: 0:28:07 lr: 3.172187550346977e-05 loss: 0.0725 (0.0820) loss_seg: 0.0776 (0.0883) loss_lansim: 0.1100 (0.1162) loss_contra: 0.0001 (0.0069) time: 2.5060 data: 0.0025 max mem: 31671 Epoch: [15] [4620/5278] eta: 0:27:42 lr: 3.1719633472351444e-05 loss: 0.0737 (0.0820) loss_seg: 0.0790 (0.0883) loss_lansim: 0.1095 (0.1162) loss_contra: 0.0001 (0.0070) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [15] [4630/5278] eta: 0:27:16 lr: 3.17173914236249e-05 loss: 0.0757 (0.0821) loss_seg: 0.0815 (0.0884) loss_lansim: 0.1095 (0.1162) loss_contra: 0.0001 (0.0070) time: 2.5143 data: 0.0026 max mem: 31671 Epoch: [15] [4640/5278] eta: 0:26:51 lr: 3.171514935728858e-05 loss: 0.0764 (0.0822) loss_seg: 0.0827 (0.0884) loss_lansim: 0.1100 (0.1162) loss_contra: 0.0001 (0.0070) time: 2.5090 data: 0.0026 max mem: 31671 Epoch: [15] [4650/5278] eta: 0:26:26 lr: 3.171290727334097e-05 loss: 0.0794 (0.0821) loss_seg: 0.0846 (0.0884) loss_lansim: 0.1107 (0.1162) loss_contra: 0.0001 (0.0069) time: 2.5118 data: 0.0026 max mem: 31671 Epoch: [15] [4660/5278] eta: 0:26:01 lr: 3.171066517178057e-05 loss: 0.0791 (0.0822) loss_seg: 0.0838 (0.0884) loss_lansim: 0.1147 (0.1162) loss_contra: 0.0001 (0.0070) time: 2.5150 data: 0.0026 max mem: 31671 Epoch: [15] [4670/5278] eta: 0:25:35 lr: 3.170842305260582e-05 loss: 0.0764 (0.0821) loss_seg: 0.0827 (0.0884) loss_lansim: 0.1099 (0.1162) loss_contra: 0.0001 (0.0070) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [15] [4680/5278] eta: 0:25:10 lr: 3.170618091581523e-05 loss: 0.0787 (0.0822) loss_seg: 0.0846 (0.0884) loss_lansim: 0.1098 (0.1162) loss_contra: 0.0001 (0.0072) time: 2.5174 data: 0.0025 max mem: 31671 Epoch: [15] [4690/5278] eta: 0:24:45 lr: 3.1703938761407265e-05 loss: 0.0764 (0.0821) loss_seg: 0.0827 (0.0884) loss_lansim: 0.1112 (0.1162) loss_contra: 0.0002 (0.0072) time: 2.5199 data: 0.0025 max mem: 31671 Epoch: [15] [4700/5278] eta: 0:24:19 lr: 3.1701696589380396e-05 loss: 0.0740 (0.0821) loss_seg: 0.0810 (0.0884) loss_lansim: 0.1101 (0.1162) loss_contra: 0.0002 (0.0072) time: 2.5187 data: 0.0025 max mem: 31671 Epoch: [15] [4710/5278] eta: 0:23:54 lr: 3.169945439973312e-05 loss: 0.0736 (0.0821) loss_seg: 0.0798 (0.0883) loss_lansim: 0.1110 (0.1162) loss_contra: 0.0002 (0.0072) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [15] [4720/5278] eta: 0:23:29 lr: 3.1697212192463895e-05 loss: 0.0735 (0.0821) loss_seg: 0.0779 (0.0883) loss_lansim: 0.1112 (0.1162) loss_contra: 0.0003 (0.0072) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [15] [4730/5278] eta: 0:23:04 lr: 3.16949699675712e-05 loss: 0.0735 (0.0821) loss_seg: 0.0779 (0.0883) loss_lansim: 0.1120 (0.1161) loss_contra: 0.0002 (0.0071) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [15] [4740/5278] eta: 0:22:38 lr: 3.169272772505352e-05 loss: 0.0726 (0.0822) loss_seg: 0.0772 (0.0884) loss_lansim: 0.1112 (0.1161) loss_contra: 0.0003 (0.0071) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [15] [4750/5278] eta: 0:22:13 lr: 3.169048546490931e-05 loss: 0.0735 (0.0822) loss_seg: 0.0797 (0.0884) loss_lansim: 0.1108 (0.1161) loss_contra: 0.0003 (0.0071) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [15] [4760/5278] eta: 0:21:48 lr: 3.168824318713707e-05 loss: 0.0736 (0.0822) loss_seg: 0.0798 (0.0884) loss_lansim: 0.1108 (0.1161) loss_contra: 0.0002 (0.0071) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [15] [4770/5278] eta: 0:21:23 lr: 3.1686000891735275e-05 loss: 0.0754 (0.0822) loss_seg: 0.0817 (0.0885) loss_lansim: 0.1120 (0.1161) loss_contra: 0.0002 (0.0071) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [15] [4780/5278] eta: 0:20:57 lr: 3.168375857870238e-05 loss: 0.0739 (0.0822) loss_seg: 0.0815 (0.0884) loss_lansim: 0.1120 (0.1161) loss_contra: 0.0002 (0.0071) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [15] [4790/5278] eta: 0:20:32 lr: 3.168151624803688e-05 loss: 0.0744 (0.0822) loss_seg: 0.0817 (0.0885) loss_lansim: 0.1114 (0.1161) loss_contra: 0.0002 (0.0071) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [15] [4800/5278] eta: 0:20:07 lr: 3.1679273899737234e-05 loss: 0.0759 (0.0823) loss_seg: 0.0836 (0.0885) loss_lansim: 0.1114 (0.1161) loss_contra: 0.0002 (0.0072) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [15] [4810/5278] eta: 0:19:42 lr: 3.1677031533801925e-05 loss: 0.0754 (0.0823) loss_seg: 0.0832 (0.0885) loss_lansim: 0.1117 (0.1161) loss_contra: 0.0002 (0.0072) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [15] [4820/5278] eta: 0:19:16 lr: 3.1674789150229425e-05 loss: 0.0744 (0.0822) loss_seg: 0.0824 (0.0885) loss_lansim: 0.1117 (0.1161) loss_contra: 0.0002 (0.0072) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [15] [4830/5278] eta: 0:18:51 lr: 3.167254674901821e-05 loss: 0.0744 (0.0822) loss_seg: 0.0824 (0.0885) loss_lansim: 0.1114 (0.1161) loss_contra: 0.0002 (0.0072) time: 2.5257 data: 0.0026 max mem: 31671 Epoch: [15] [4840/5278] eta: 0:18:26 lr: 3.167030433016675e-05 loss: 0.0744 (0.0823) loss_seg: 0.0824 (0.0885) loss_lansim: 0.1113 (0.1161) loss_contra: 0.0002 (0.0071) time: 2.5333 data: 0.0026 max mem: 31671 Epoch: [15] [4850/5278] eta: 0:18:01 lr: 3.1668061893673525e-05 loss: 0.0719 (0.0822) loss_seg: 0.0793 (0.0885) loss_lansim: 0.1115 (0.1161) loss_contra: 0.0002 (0.0071) time: 2.5278 data: 0.0026 max mem: 31671 Epoch: [15] [4860/5278] eta: 0:17:35 lr: 3.1665819439537e-05 loss: 0.0697 (0.0823) loss_seg: 0.0769 (0.0885) loss_lansim: 0.1113 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [15] [4870/5278] eta: 0:17:10 lr: 3.1663576967755655e-05 loss: 0.0697 (0.0823) loss_seg: 0.0768 (0.0886) loss_lansim: 0.1114 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5258 data: 0.0026 max mem: 31671 Epoch: [15] [4880/5278] eta: 0:16:45 lr: 3.1661334478327956e-05 loss: 0.0697 (0.0823) loss_seg: 0.0764 (0.0885) loss_lansim: 0.1114 (0.1160) loss_contra: 0.0001 (0.0071) time: 2.5359 data: 0.0026 max mem: 31671 Epoch: [15] [4890/5278] eta: 0:16:20 lr: 3.165909197125238e-05 loss: 0.0697 (0.0823) loss_seg: 0.0764 (0.0885) loss_lansim: 0.1120 (0.1161) loss_contra: 0.0001 (0.0071) time: 2.5199 data: 0.0026 max mem: 31671 Epoch: [15] [4900/5278] eta: 0:15:54 lr: 3.1656849446527396e-05 loss: 0.0672 (0.0822) loss_seg: 0.0703 (0.0885) loss_lansim: 0.1120 (0.1161) loss_contra: 0.0001 (0.0071) time: 2.5221 data: 0.0026 max mem: 31671 Epoch: [15] [4910/5278] eta: 0:15:29 lr: 3.165460690415147e-05 loss: 0.0692 (0.0822) loss_seg: 0.0753 (0.0885) loss_lansim: 0.1119 (0.1160) loss_contra: 0.0001 (0.0071) time: 2.5245 data: 0.0026 max mem: 31671 Epoch: [15] [4920/5278] eta: 0:15:04 lr: 3.1652364344123097e-05 loss: 0.0703 (0.0822) loss_seg: 0.0768 (0.0885) loss_lansim: 0.1121 (0.1160) loss_contra: 0.0001 (0.0071) time: 2.5148 data: 0.0026 max mem: 31671 Epoch: [15] [4930/5278] eta: 0:14:38 lr: 3.1650121766440725e-05 loss: 0.0697 (0.0823) loss_seg: 0.0764 (0.0885) loss_lansim: 0.1124 (0.1160) loss_contra: 0.0001 (0.0071) time: 2.5187 data: 0.0026 max mem: 31671 Epoch: [15] [4940/5278] eta: 0:14:13 lr: 3.164787917110283e-05 loss: 0.0691 (0.0822) loss_seg: 0.0741 (0.0885) loss_lansim: 0.1128 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5114 data: 0.0025 max mem: 31671 Epoch: [15] [4950/5278] eta: 0:13:48 lr: 3.16456365581079e-05 loss: 0.0672 (0.0822) loss_seg: 0.0674 (0.0885) loss_lansim: 0.1124 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5088 data: 0.0025 max mem: 31671 Epoch: [15] [4960/5278] eta: 0:13:23 lr: 3.164339392745437e-05 loss: 0.0691 (0.0822) loss_seg: 0.0703 (0.0885) loss_lansim: 0.1128 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5071 data: 0.0025 max mem: 31671 Epoch: [15] [4970/5278] eta: 0:12:57 lr: 3.164115127914075e-05 loss: 0.0632 (0.0822) loss_seg: 0.0670 (0.0885) loss_lansim: 0.1136 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5118 data: 0.0025 max mem: 31671 Epoch: [15] [4980/5278] eta: 0:12:32 lr: 3.1638908613165485e-05 loss: 0.0614 (0.0821) loss_seg: 0.0667 (0.0884) loss_lansim: 0.1136 (0.1160) loss_contra: 0.0003 (0.0071) time: 2.5133 data: 0.0025 max mem: 31671 Epoch: [15] [4990/5278] eta: 0:12:07 lr: 3.163666592952705e-05 loss: 0.0613 (0.0821) loss_seg: 0.0667 (0.0884) loss_lansim: 0.1133 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [15] [5000/5278] eta: 0:11:42 lr: 3.163442322822392e-05 loss: 0.0623 (0.0821) loss_seg: 0.0670 (0.0883) loss_lansim: 0.1132 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [15] [5010/5278] eta: 0:11:16 lr: 3.163218050925456e-05 loss: 0.0651 (0.0821) loss_seg: 0.0670 (0.0883) loss_lansim: 0.1133 (0.1160) loss_contra: 0.0003 (0.0071) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [15] [5020/5278] eta: 0:10:51 lr: 3.162993777261744e-05 loss: 0.0663 (0.0821) loss_seg: 0.0686 (0.0883) loss_lansim: 0.1136 (0.1160) loss_contra: 0.0003 (0.0071) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [15] [5030/5278] eta: 0:10:26 lr: 3.1627695018311025e-05 loss: 0.0651 (0.0821) loss_seg: 0.0686 (0.0883) loss_lansim: 0.1137 (0.1160) loss_contra: 0.0003 (0.0071) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [15] [5040/5278] eta: 0:10:01 lr: 3.162545224633379e-05 loss: 0.0651 (0.0821) loss_seg: 0.0691 (0.0883) loss_lansim: 0.1132 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5234 data: 0.0025 max mem: 31671 Epoch: [15] [5050/5278] eta: 0:09:35 lr: 3.16232094566842e-05 loss: 0.0652 (0.0821) loss_seg: 0.0695 (0.0883) loss_lansim: 0.1132 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5284 data: 0.0024 max mem: 31671 Epoch: [15] [5060/5278] eta: 0:09:10 lr: 3.162096664936072e-05 loss: 0.0646 (0.0821) loss_seg: 0.0686 (0.0883) loss_lansim: 0.1122 (0.1160) loss_contra: 0.0001 (0.0071) time: 2.5243 data: 0.0024 max mem: 31671 Epoch: [15] [5070/5278] eta: 0:08:45 lr: 3.1618723824361825e-05 loss: 0.0654 (0.0821) loss_seg: 0.0701 (0.0883) loss_lansim: 0.1111 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [15] [5080/5278] eta: 0:08:20 lr: 3.161648098168598e-05 loss: 0.0668 (0.0821) loss_seg: 0.0716 (0.0883) loss_lansim: 0.1100 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.5078 data: 0.0025 max mem: 31671 Epoch: [15] [5090/5278] eta: 0:07:54 lr: 3.161423812133165e-05 loss: 0.0663 (0.0821) loss_seg: 0.0710 (0.0883) loss_lansim: 0.1088 (0.1160) loss_contra: 0.0002 (0.0071) time: 2.4965 data: 0.0025 max mem: 31671 Epoch: [15] [5100/5278] eta: 0:07:29 lr: 3.1611995243297307e-05 loss: 0.0668 (0.0821) loss_seg: 0.0716 (0.0883) loss_lansim: 0.1100 (0.1160) loss_contra: 0.0002 (0.0072) time: 2.4990 data: 0.0025 max mem: 31671 Epoch: [15] [5110/5278] eta: 0:07:04 lr: 3.160975234758142e-05 loss: 0.0649 (0.0821) loss_seg: 0.0712 (0.0883) loss_lansim: 0.1100 (0.1159) loss_contra: 0.0002 (0.0071) time: 2.5097 data: 0.0025 max mem: 31671 Epoch: [15] [5120/5278] eta: 0:06:39 lr: 3.160750943418243e-05 loss: 0.0646 (0.0820) loss_seg: 0.0701 (0.0883) loss_lansim: 0.1087 (0.1159) loss_contra: 0.0002 (0.0071) time: 2.5092 data: 0.0025 max mem: 31671 Epoch: [15] [5130/5278] eta: 0:06:13 lr: 3.160526650309884e-05 loss: 0.0649 (0.0820) loss_seg: 0.0712 (0.0883) loss_lansim: 0.1085 (0.1159) loss_contra: 0.0001 (0.0071) time: 2.5098 data: 0.0025 max mem: 31671 Epoch: [15] [5140/5278] eta: 0:05:48 lr: 3.1603023554329096e-05 loss: 0.0675 (0.0820) loss_seg: 0.0729 (0.0883) loss_lansim: 0.1085 (0.1159) loss_contra: 0.0001 (0.0071) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [15] [5150/5278] eta: 0:05:23 lr: 3.1600780587871666e-05 loss: 0.0724 (0.0821) loss_seg: 0.0751 (0.0883) loss_lansim: 0.1085 (0.1159) loss_contra: 0.0001 (0.0071) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [15] [5160/5278] eta: 0:04:58 lr: 3.159853760372502e-05 loss: 0.0710 (0.0820) loss_seg: 0.0751 (0.0883) loss_lansim: 0.1079 (0.1159) loss_contra: 0.0001 (0.0071) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [15] [5170/5278] eta: 0:04:32 lr: 3.159629460188761e-05 loss: 0.0710 (0.0821) loss_seg: 0.0751 (0.0883) loss_lansim: 0.1079 (0.1159) loss_contra: 0.0001 (0.0071) time: 2.5078 data: 0.0025 max mem: 31671 Epoch: [15] [5180/5278] eta: 0:04:07 lr: 3.159405158235793e-05 loss: 0.0728 (0.0821) loss_seg: 0.0785 (0.0883) loss_lansim: 0.1073 (0.1159) loss_contra: 0.0001 (0.0071) time: 2.5144 data: 0.0025 max mem: 31671 Epoch: [15] [5190/5278] eta: 0:03:42 lr: 3.1591808545134406e-05 loss: 0.0741 (0.0821) loss_seg: 0.0803 (0.0884) loss_lansim: 0.1085 (0.1158) loss_contra: 0.0001 (0.0071) time: 2.5144 data: 0.0025 max mem: 31671 Epoch: [15] [5200/5278] eta: 0:03:16 lr: 3.1589565490215525e-05 loss: 0.0755 (0.0822) loss_seg: 0.0818 (0.0884) loss_lansim: 0.1085 (0.1158) loss_contra: 0.0001 (0.0070) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [15] [5210/5278] eta: 0:02:51 lr: 3.158732241759976e-05 loss: 0.0767 (0.0822) loss_seg: 0.0818 (0.0884) loss_lansim: 0.1070 (0.1158) loss_contra: 0.0001 (0.0070) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [15] [5220/5278] eta: 0:02:26 lr: 3.158507932728556e-05 loss: 0.0760 (0.0821) loss_seg: 0.0818 (0.0884) loss_lansim: 0.1069 (0.1158) loss_contra: 0.0001 (0.0070) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [15] [5230/5278] eta: 0:02:01 lr: 3.158283621927139e-05 loss: 0.0744 (0.0822) loss_seg: 0.0805 (0.0884) loss_lansim: 0.1070 (0.1158) loss_contra: 0.0001 (0.0070) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [15] [5240/5278] eta: 0:01:35 lr: 3.158059309355572e-05 loss: 0.0755 (0.0822) loss_seg: 0.0809 (0.0884) loss_lansim: 0.1081 (0.1158) loss_contra: 0.0001 (0.0070) time: 2.5296 data: 0.0024 max mem: 31671 Epoch: [15] [5250/5278] eta: 0:01:10 lr: 3.1578349950137006e-05 loss: 0.0710 (0.0821) loss_seg: 0.0763 (0.0884) loss_lansim: 0.1081 (0.1158) loss_contra: 0.0001 (0.0070) time: 2.5225 data: 0.0024 max mem: 31671 Epoch: [15] [5260/5278] eta: 0:00:45 lr: 3.157610678901372e-05 loss: 0.0744 (0.0821) loss_seg: 0.0786 (0.0883) loss_lansim: 0.1081 (0.1158) loss_contra: 0.0001 (0.0071) time: 2.5310 data: 0.0024 max mem: 31671 Epoch: [15] [5270/5278] eta: 0:00:20 lr: 3.1573863610184305e-05 loss: 0.0706 (0.0821) loss_seg: 0.0763 (0.0884) loss_lansim: 0.1081 (0.1158) loss_contra: 0.0001 (0.0071) time: 2.5378 data: 0.0024 max mem: 31671 Epoch: [15] Total time: 3:42:11 Test: [ 0/2573] eta: 1:37:27 time: 2.2725 data: 2.0053 max mem: 31671 Test: [ 100/2573] eta: 0:06:36 time: 0.1391 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:03 time: 0.1459 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:39 time: 0.1422 data: 0.0014 max mem: 31671 Test: [ 400/2573] eta: 0:05:22 time: 0.1448 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:06 time: 0.1454 data: 0.0014 max mem: 31671 Test: [ 600/2573] eta: 0:04:51 time: 0.1461 data: 0.0014 max mem: 31671 Test: [ 700/2573] eta: 0:04:36 time: 0.1482 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:21 time: 0.1459 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:06 time: 0.1474 data: 0.0014 max mem: 31671 Test: [1000/2573] eta: 0:03:51 time: 0.1466 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:36 time: 0.1459 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1480 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1452 data: 0.0014 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1418 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1465 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:22 time: 0.1464 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1481 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1440 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1418 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1407 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1449 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1417 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1447 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1452 data: 0.0014 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1466 data: 0.0016 max mem: 31671 Test: Total time: 0:06:15 Final results: precision@0.5 = 65.09 precision@0.6 = 60.33 precision@0.7 = 53.15 precision@0.8 = 41.42 precision@0.9 = 19.16 overall IoU = 56.95 mean IoU = 57.96 Average object IoU 0.5795679053084435 Overall IoU 56.953319800793466 Better epoch: 15 The best_performance is 56.953319800793466 Epoch: [16] [ 0/5278] eta: 6:03:58 lr: 3.157206905437135e-05 loss: 0.0819 (0.0819) loss_seg: 0.0908 (0.0908) loss_lansim: 0.0924 (0.0924) loss_contra: 0.0000 (0.0000) time: 4.1376 data: 1.3326 max mem: 31671 Epoch: [16] [ 10/5278] eta: 3:53:10 lr: 3.156982584366706e-05 loss: 0.0709 (0.0854) loss_seg: 0.0781 (0.0934) loss_lansim: 0.1030 (0.1055) loss_contra: 0.0005 (0.0051) time: 2.6558 data: 0.1228 max mem: 31671 Epoch: [16] [ 20/5278] eta: 3:46:25 lr: 3.156758261525235e-05 loss: 0.0630 (0.0842) loss_seg: 0.0644 (0.0921) loss_lansim: 0.0999 (0.1033) loss_contra: 0.0005 (0.0039) time: 2.5837 data: 0.0652 max mem: 31671 Epoch: [16] [ 30/5278] eta: 3:42:55 lr: 3.1565339369125684e-05 loss: 0.0619 (0.0791) loss_seg: 0.0652 (0.0855) loss_lansim: 0.1015 (0.1033) loss_contra: 0.0006 (0.0032) time: 2.5486 data: 0.0450 max mem: 31671 Epoch: [16] [ 40/5278] eta: 3:43:09 lr: 3.156309610528553e-05 loss: 0.0619 (0.0743) loss_seg: 0.0652 (0.0804) loss_lansim: 0.1018 (0.1042) loss_contra: 0.0001 (0.0025) time: 2.5562 data: 0.0346 max mem: 31671 Epoch: [16] [ 50/5278] eta: 3:42:40 lr: 3.1560852823730326e-05 loss: 0.0619 (0.0735) loss_seg: 0.0652 (0.0797) loss_lansim: 0.1013 (0.1039) loss_contra: 0.0001 (0.0025) time: 2.5555 data: 0.0283 max mem: 31671 Epoch: [16] [ 60/5278] eta: 3:41:42 lr: 3.1558609524458546e-05 loss: 0.0608 (0.0702) loss_seg: 0.0652 (0.0763) loss_lansim: 0.1015 (0.1046) loss_contra: 0.0001 (0.0022) time: 2.5494 data: 0.0240 max mem: 31671 Epoch: [16] [ 70/5278] eta: 3:41:17 lr: 3.155636620746867e-05 loss: 0.0595 (0.0700) loss_seg: 0.0644 (0.0757) loss_lansim: 0.1008 (0.1034) loss_contra: 0.0001 (0.0021) time: 2.5494 data: 0.0210 max mem: 31671 Epoch: [16] [ 80/5278] eta: 3:41:10 lr: 3.1554122872759124e-05 loss: 0.0619 (0.0730) loss_seg: 0.0655 (0.0786) loss_lansim: 0.1015 (0.1042) loss_contra: 0.0001 (0.0020) time: 2.5529 data: 0.0187 max mem: 31671 Epoch: [16] [ 90/5278] eta: 3:40:25 lr: 3.155187952032839e-05 loss: 0.0608 (0.0728) loss_seg: 0.0652 (0.0783) loss_lansim: 0.1015 (0.1040) loss_contra: 0.0002 (0.0023) time: 2.5492 data: 0.0169 max mem: 31671 Epoch: [16] [ 100/5278] eta: 3:40:20 lr: 3.154963615017493e-05 loss: 0.0595 (0.0770) loss_seg: 0.0644 (0.0831) loss_lansim: 0.1015 (0.1039) loss_contra: 0.0001 (0.0021) time: 2.5373 data: 0.0023 max mem: 31671 Epoch: [16] [ 110/5278] eta: 3:40:10 lr: 3.154739276229718e-05 loss: 0.0592 (0.0755) loss_seg: 0.0644 (0.0814) loss_lansim: 0.1013 (0.1042) loss_contra: 0.0001 (0.0020) time: 2.5453 data: 0.0024 max mem: 31671 Epoch: [16] [ 120/5278] eta: 3:39:32 lr: 3.154514935669363e-05 loss: 0.0619 (0.0766) loss_seg: 0.0658 (0.0825) loss_lansim: 0.1018 (0.1042) loss_contra: 0.0001 (0.0019) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [16] [ 130/5278] eta: 3:39:10 lr: 3.1542905933362714e-05 loss: 0.0620 (0.0780) loss_seg: 0.0658 (0.0840) loss_lansim: 0.1015 (0.1039) loss_contra: 0.0001 (0.0018) time: 2.5564 data: 0.0025 max mem: 31671 Epoch: [16] [ 140/5278] eta: 3:39:21 lr: 3.1540662492302905e-05 loss: 0.0595 (0.0777) loss_seg: 0.0655 (0.0837) loss_lansim: 0.1005 (0.1033) loss_contra: 0.0002 (0.0025) time: 2.5639 data: 0.0025 max mem: 31671 Epoch: [16] [ 150/5278] eta: 3:38:36 lr: 3.153841903351267e-05 loss: 0.0595 (0.0764) loss_seg: 0.0655 (0.0823) loss_lansim: 0.1006 (0.1032) loss_contra: 0.0001 (0.0023) time: 2.5589 data: 0.0025 max mem: 31671 Epoch: [16] [ 160/5278] eta: 3:37:46 lr: 3.153617555699045e-05 loss: 0.0620 (0.0771) loss_seg: 0.0665 (0.0829) loss_lansim: 0.1001 (0.1030) loss_contra: 0.0001 (0.0022) time: 2.5553 data: 0.0026 max mem: 31671 Epoch: [16] [ 170/5278] eta: 3:37:24 lr: 3.15339320627347e-05 loss: 0.0620 (0.0762) loss_seg: 0.0665 (0.0820) loss_lansim: 0.1005 (0.1029) loss_contra: 0.0001 (0.0023) time: 2.5567 data: 0.0026 max mem: 31671 Epoch: [16] [ 180/5278] eta: 3:36:53 lr: 3.15316885507439e-05 loss: 0.0603 (0.0751) loss_seg: 0.0658 (0.0808) loss_lansim: 0.0997 (0.1027) loss_contra: 0.0001 (0.0026) time: 2.5526 data: 0.0026 max mem: 31671 Epoch: [16] [ 190/5278] eta: 3:36:21 lr: 3.152944502101649e-05 loss: 0.0603 (0.0740) loss_seg: 0.0665 (0.0798) loss_lansim: 0.0992 (0.1028) loss_contra: 0.0001 (0.0037) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [16] [ 200/5278] eta: 3:35:37 lr: 3.1527201473550935e-05 loss: 0.0581 (0.0729) loss_seg: 0.0605 (0.0784) loss_lansim: 0.0991 (0.1028) loss_contra: 0.0002 (0.0039) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [16] [ 210/5278] eta: 3:35:15 lr: 3.1524957908345694e-05 loss: 0.0551 (0.0721) loss_seg: 0.0604 (0.0776) loss_lansim: 0.0991 (0.1028) loss_contra: 0.0001 (0.0038) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [16] [ 220/5278] eta: 3:34:58 lr: 3.152271432539921e-05 loss: 0.0521 (0.0718) loss_seg: 0.0568 (0.0773) loss_lansim: 0.0978 (0.1029) loss_contra: 0.0001 (0.0036) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [16] [ 230/5278] eta: 3:34:21 lr: 3.152047072470996e-05 loss: 0.0516 (0.0708) loss_seg: 0.0556 (0.0762) loss_lansim: 0.0982 (0.1029) loss_contra: 0.0001 (0.0037) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [16] [ 240/5278] eta: 3:33:44 lr: 3.1518227106276377e-05 loss: 0.0506 (0.0709) loss_seg: 0.0552 (0.0763) loss_lansim: 0.0992 (0.1032) loss_contra: 0.0001 (0.0040) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [16] [ 250/5278] eta: 3:33:00 lr: 3.1515983470096944e-05 loss: 0.0541 (0.0721) loss_seg: 0.0579 (0.0775) loss_lansim: 0.0999 (0.1032) loss_contra: 0.0001 (0.0039) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [16] [ 260/5278] eta: 3:32:21 lr: 3.151373981617009e-05 loss: 0.0541 (0.0719) loss_seg: 0.0593 (0.0774) loss_lansim: 0.1000 (0.1032) loss_contra: 0.0001 (0.0038) time: 2.5168 data: 0.0025 max mem: 31671 Epoch: [16] [ 270/5278] eta: 3:31:53 lr: 3.151149614449429e-05 loss: 0.0545 (0.0714) loss_seg: 0.0597 (0.0768) loss_lansim: 0.0998 (0.1028) loss_contra: 0.0001 (0.0038) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [16] [ 280/5278] eta: 3:31:18 lr: 3.1509252455068e-05 loss: 0.0552 (0.0723) loss_seg: 0.0606 (0.0776) loss_lansim: 0.1024 (0.1031) loss_contra: 0.0001 (0.0037) time: 2.5078 data: 0.0025 max mem: 31671 Epoch: [16] [ 290/5278] eta: 3:30:53 lr: 3.150700874788966e-05 loss: 0.0563 (0.0721) loss_seg: 0.0613 (0.0774) loss_lansim: 0.1018 (0.1030) loss_contra: 0.0001 (0.0036) time: 2.5086 data: 0.0025 max mem: 31671 Epoch: [16] [ 300/5278] eta: 3:30:29 lr: 3.150476502295773e-05 loss: 0.0584 (0.0722) loss_seg: 0.0622 (0.0775) loss_lansim: 0.1012 (0.1029) loss_contra: 0.0001 (0.0035) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [16] [ 310/5278] eta: 3:29:49 lr: 3.150252128027068e-05 loss: 0.0610 (0.0722) loss_seg: 0.0649 (0.0775) loss_lansim: 0.1018 (0.1031) loss_contra: 0.0001 (0.0034) time: 2.5041 data: 0.0026 max mem: 31671 Epoch: [16] [ 320/5278] eta: 3:29:19 lr: 3.150027751982694e-05 loss: 0.0640 (0.0720) loss_seg: 0.0685 (0.0772) loss_lansim: 0.1020 (0.1031) loss_contra: 0.0001 (0.0056) time: 2.4959 data: 0.0026 max mem: 31671 Epoch: [16] [ 330/5278] eta: 3:28:56 lr: 3.149803374162499e-05 loss: 0.0638 (0.0715) loss_seg: 0.0685 (0.0768) loss_lansim: 0.1027 (0.1033) loss_contra: 0.0001 (0.0055) time: 2.5011 data: 0.0026 max mem: 31671 Epoch: [16] [ 340/5278] eta: 3:28:30 lr: 3.149578994566325e-05 loss: 0.0638 (0.0717) loss_seg: 0.0685 (0.0769) loss_lansim: 0.1018 (0.1033) loss_contra: 0.0001 (0.0056) time: 2.5041 data: 0.0025 max mem: 31671 Epoch: [16] [ 350/5278] eta: 3:28:07 lr: 3.149354613194021e-05 loss: 0.0610 (0.0714) loss_seg: 0.0649 (0.0766) loss_lansim: 0.1024 (0.1035) loss_contra: 0.0001 (0.0054) time: 2.5143 data: 0.0026 max mem: 31671 Epoch: [16] [ 360/5278] eta: 3:27:32 lr: 3.149130230045431e-05 loss: 0.0619 (0.0720) loss_seg: 0.0660 (0.0772) loss_lansim: 0.1024 (0.1034) loss_contra: 0.0001 (0.0055) time: 2.5136 data: 0.0025 max mem: 31671 Epoch: [16] [ 370/5278] eta: 3:27:07 lr: 3.148905845120399e-05 loss: 0.0607 (0.0722) loss_seg: 0.0649 (0.0773) loss_lansim: 0.1028 (0.1035) loss_contra: 0.0001 (0.0054) time: 2.5142 data: 0.0026 max mem: 31671 Epoch: [16] [ 380/5278] eta: 3:26:37 lr: 3.148681458418771e-05 loss: 0.0584 (0.0719) loss_seg: 0.0636 (0.0770) loss_lansim: 0.1020 (0.1037) loss_contra: 0.0001 (0.0057) time: 2.5154 data: 0.0026 max mem: 31671 Epoch: [16] [ 390/5278] eta: 3:26:17 lr: 3.148457069940394e-05 loss: 0.0603 (0.0726) loss_seg: 0.0639 (0.0779) loss_lansim: 0.1027 (0.1039) loss_contra: 0.0001 (0.0056) time: 2.5191 data: 0.0026 max mem: 31671 Epoch: [16] [ 400/5278] eta: 3:25:46 lr: 3.14823267968511e-05 loss: 0.0606 (0.0735) loss_seg: 0.0646 (0.0789) loss_lansim: 0.1036 (0.1038) loss_contra: 0.0001 (0.0055) time: 2.5130 data: 0.0026 max mem: 31671 Epoch: [16] [ 410/5278] eta: 3:25:20 lr: 3.148008287652767e-05 loss: 0.0606 (0.0735) loss_seg: 0.0646 (0.0789) loss_lansim: 0.1041 (0.1038) loss_contra: 0.0001 (0.0056) time: 2.5210 data: 0.0026 max mem: 31671 Epoch: [16] [ 420/5278] eta: 3:25:01 lr: 3.1477838938432094e-05 loss: 0.0593 (0.0734) loss_seg: 0.0639 (0.0787) loss_lansim: 0.1041 (0.1038) loss_contra: 0.0001 (0.0055) time: 2.5291 data: 0.0026 max mem: 31671 Epoch: [16] [ 430/5278] eta: 3:24:29 lr: 3.147559498256282e-05 loss: 0.0607 (0.0732) loss_seg: 0.0646 (0.0785) loss_lansim: 0.1026 (0.1038) loss_contra: 0.0002 (0.0053) time: 2.5210 data: 0.0026 max mem: 31671 Epoch: [16] [ 440/5278] eta: 3:24:05 lr: 3.14733510089183e-05 loss: 0.0607 (0.0732) loss_seg: 0.0645 (0.0785) loss_lansim: 0.1041 (0.1039) loss_contra: 0.0001 (0.0052) time: 2.5227 data: 0.0026 max mem: 31671 Epoch: [16] [ 450/5278] eta: 3:23:40 lr: 3.147110701749697e-05 loss: 0.0606 (0.0729) loss_seg: 0.0628 (0.0782) loss_lansim: 0.1021 (0.1038) loss_contra: 0.0001 (0.0052) time: 2.5211 data: 0.0026 max mem: 31671 Epoch: [16] [ 460/5278] eta: 3:23:17 lr: 3.146886300829732e-05 loss: 0.0593 (0.0733) loss_seg: 0.0627 (0.0787) loss_lansim: 0.1026 (0.1040) loss_contra: 0.0002 (0.0051) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [16] [ 470/5278] eta: 3:22:42 lr: 3.146661898131777e-05 loss: 0.0607 (0.0736) loss_seg: 0.0628 (0.0789) loss_lansim: 0.1036 (0.1041) loss_contra: 0.0002 (0.0052) time: 2.5210 data: 0.0025 max mem: 31671 Epoch: [16] [ 480/5278] eta: 3:22:12 lr: 3.1464374936556766e-05 loss: 0.0614 (0.0738) loss_seg: 0.0677 (0.0792) loss_lansim: 0.1026 (0.1042) loss_contra: 0.0002 (0.0051) time: 2.5193 data: 0.0025 max mem: 31671 Epoch: [16] [ 490/5278] eta: 3:21:51 lr: 3.146213087401278e-05 loss: 0.0614 (0.0736) loss_seg: 0.0669 (0.0790) loss_lansim: 0.1026 (0.1044) loss_contra: 0.0002 (0.0051) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [16] [ 500/5278] eta: 3:21:28 lr: 3.145988679368425e-05 loss: 0.0610 (0.0745) loss_seg: 0.0657 (0.0798) loss_lansim: 0.1049 (0.1046) loss_contra: 0.0002 (0.0050) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [16] [ 510/5278] eta: 3:20:59 lr: 3.145764269556963e-05 loss: 0.0607 (0.0744) loss_seg: 0.0653 (0.0798) loss_lansim: 0.1020 (0.1045) loss_contra: 0.0001 (0.0049) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [16] [ 520/5278] eta: 3:20:33 lr: 3.145539857966736e-05 loss: 0.0595 (0.0740) loss_seg: 0.0642 (0.0794) loss_lansim: 0.1049 (0.1046) loss_contra: 0.0001 (0.0050) time: 2.5162 data: 0.0025 max mem: 31671 Epoch: [16] [ 530/5278] eta: 3:20:11 lr: 3.145315444597589e-05 loss: 0.0585 (0.0736) loss_seg: 0.0632 (0.0790) loss_lansim: 0.1049 (0.1046) loss_contra: 0.0001 (0.0052) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [16] [ 540/5278] eta: 3:19:44 lr: 3.145091029449368e-05 loss: 0.0582 (0.0732) loss_seg: 0.0626 (0.0785) loss_lansim: 0.1049 (0.1046) loss_contra: 0.0001 (0.0051) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [16] [ 550/5278] eta: 3:19:17 lr: 3.144866612521917e-05 loss: 0.0595 (0.0731) loss_seg: 0.0641 (0.0784) loss_lansim: 0.1052 (0.1047) loss_contra: 0.0001 (0.0052) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [16] [ 560/5278] eta: 3:18:52 lr: 3.1446421938150804e-05 loss: 0.0578 (0.0727) loss_seg: 0.0626 (0.0780) loss_lansim: 0.1063 (0.1049) loss_contra: 0.0001 (0.0051) time: 2.5180 data: 0.0025 max mem: 31671 Epoch: [16] [ 570/5278] eta: 3:18:27 lr: 3.144417773328705e-05 loss: 0.0582 (0.0731) loss_seg: 0.0632 (0.0784) loss_lansim: 0.1067 (0.1049) loss_contra: 0.0001 (0.0051) time: 2.5266 data: 0.0026 max mem: 31671 Epoch: [16] [ 580/5278] eta: 3:18:02 lr: 3.144193351062633e-05 loss: 0.0582 (0.0735) loss_seg: 0.0630 (0.0789) loss_lansim: 0.1073 (0.1052) loss_contra: 0.0002 (0.0052) time: 2.5316 data: 0.0026 max mem: 31671 Epoch: [16] [ 590/5278] eta: 3:17:33 lr: 3.143968927016711e-05 loss: 0.0578 (0.0733) loss_seg: 0.0626 (0.0787) loss_lansim: 0.1073 (0.1052) loss_contra: 0.0001 (0.0053) time: 2.5229 data: 0.0026 max mem: 31671 Epoch: [16] [ 600/5278] eta: 3:17:08 lr: 3.143744501190782e-05 loss: 0.0562 (0.0735) loss_seg: 0.0617 (0.0789) loss_lansim: 0.1062 (0.1052) loss_contra: 0.0002 (0.0052) time: 2.5210 data: 0.0026 max mem: 31671 Epoch: [16] [ 610/5278] eta: 3:16:38 lr: 3.1435200735846924e-05 loss: 0.0574 (0.0733) loss_seg: 0.0621 (0.0787) loss_lansim: 0.1068 (0.1053) loss_contra: 0.0002 (0.0053) time: 2.5189 data: 0.0026 max mem: 31671 Epoch: [16] [ 620/5278] eta: 3:16:13 lr: 3.143295644198286e-05 loss: 0.0574 (0.0729) loss_seg: 0.0617 (0.0783) loss_lansim: 0.1073 (0.1055) loss_contra: 0.0002 (0.0053) time: 2.5194 data: 0.0026 max mem: 31671 Epoch: [16] [ 630/5278] eta: 3:15:50 lr: 3.143071213031408e-05 loss: 0.0575 (0.0726) loss_seg: 0.0621 (0.0780) loss_lansim: 0.1082 (0.1056) loss_contra: 0.0001 (0.0053) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [16] [ 640/5278] eta: 3:15:27 lr: 3.142846780083902e-05 loss: 0.0579 (0.0724) loss_seg: 0.0630 (0.0778) loss_lansim: 0.1084 (0.1057) loss_contra: 0.0001 (0.0052) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [16] [ 650/5278] eta: 3:15:07 lr: 3.1426223453556135e-05 loss: 0.0580 (0.0723) loss_seg: 0.0633 (0.0776) loss_lansim: 0.1082 (0.1057) loss_contra: 0.0002 (0.0052) time: 2.5336 data: 0.0026 max mem: 31671 Epoch: [16] [ 660/5278] eta: 3:14:38 lr: 3.142397908846387e-05 loss: 0.0594 (0.0723) loss_seg: 0.0639 (0.0776) loss_lansim: 0.1074 (0.1058) loss_contra: 0.0001 (0.0052) time: 2.5274 data: 0.0026 max mem: 31671 Epoch: [16] [ 670/5278] eta: 3:14:10 lr: 3.1421734705560655e-05 loss: 0.0580 (0.0726) loss_seg: 0.0633 (0.0779) loss_lansim: 0.1073 (0.1059) loss_contra: 0.0001 (0.0051) time: 2.5240 data: 0.0026 max mem: 31671 Epoch: [16] [ 680/5278] eta: 3:13:43 lr: 3.141949030484496e-05 loss: 0.0575 (0.0727) loss_seg: 0.0616 (0.0780) loss_lansim: 0.1089 (0.1060) loss_contra: 0.0002 (0.0051) time: 2.5214 data: 0.0026 max mem: 31671 Epoch: [16] [ 690/5278] eta: 3:13:23 lr: 3.141724588631521e-05 loss: 0.0580 (0.0728) loss_seg: 0.0635 (0.0782) loss_lansim: 0.1099 (0.1062) loss_contra: 0.0002 (0.0051) time: 2.5326 data: 0.0026 max mem: 31671 Epoch: [16] [ 700/5278] eta: 3:13:00 lr: 3.1415001449969874e-05 loss: 0.0595 (0.0735) loss_seg: 0.0645 (0.0789) loss_lansim: 0.1108 (0.1063) loss_contra: 0.0002 (0.0050) time: 2.5366 data: 0.0026 max mem: 31671 Epoch: [16] [ 710/5278] eta: 3:12:35 lr: 3.1412756995807364e-05 loss: 0.0595 (0.0734) loss_seg: 0.0645 (0.0789) loss_lansim: 0.1114 (0.1064) loss_contra: 0.0001 (0.0052) time: 2.5429 data: 0.0026 max mem: 31671 Epoch: [16] [ 720/5278] eta: 3:12:05 lr: 3.141051252382614e-05 loss: 0.0620 (0.0738) loss_seg: 0.0670 (0.0793) loss_lansim: 0.1114 (0.1065) loss_contra: 0.0002 (0.0051) time: 2.5350 data: 0.0026 max mem: 31671 Epoch: [16] [ 730/5278] eta: 3:11:43 lr: 3.140826803402466e-05 loss: 0.0661 (0.0739) loss_seg: 0.0728 (0.0795) loss_lansim: 0.1111 (0.1066) loss_contra: 0.0002 (0.0056) time: 2.5374 data: 0.0026 max mem: 31671 Epoch: [16] [ 740/5278] eta: 3:11:16 lr: 3.140602352640133e-05 loss: 0.0748 (0.0741) loss_seg: 0.0792 (0.0796) loss_lansim: 0.1121 (0.1068) loss_contra: 0.0002 (0.0056) time: 2.5320 data: 0.0026 max mem: 31671 Epoch: [16] [ 750/5278] eta: 3:10:54 lr: 3.140377900095463e-05 loss: 0.0732 (0.0741) loss_seg: 0.0740 (0.0796) loss_lansim: 0.1139 (0.1069) loss_contra: 0.0002 (0.0055) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [16] [ 760/5278] eta: 3:10:24 lr: 3.140153445768299e-05 loss: 0.0766 (0.0743) loss_seg: 0.0833 (0.0799) loss_lansim: 0.1131 (0.1070) loss_contra: 0.0002 (0.0055) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [16] [ 770/5278] eta: 3:10:00 lr: 3.139928989658485e-05 loss: 0.0732 (0.0740) loss_seg: 0.0740 (0.0796) loss_lansim: 0.1121 (0.1070) loss_contra: 0.0002 (0.0054) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [16] [ 780/5278] eta: 3:09:38 lr: 3.139704531765866e-05 loss: 0.0672 (0.0745) loss_seg: 0.0728 (0.0801) loss_lansim: 0.1108 (0.1070) loss_contra: 0.0001 (0.0054) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [16] [ 790/5278] eta: 3:09:08 lr: 3.139480072090284e-05 loss: 0.0672 (0.0748) loss_seg: 0.0727 (0.0804) loss_lansim: 0.1108 (0.1072) loss_contra: 0.0001 (0.0058) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [16] [ 800/5278] eta: 3:08:45 lr: 3.1392556106315863e-05 loss: 0.0687 (0.0748) loss_seg: 0.0729 (0.0804) loss_lansim: 0.1116 (0.1073) loss_contra: 0.0001 (0.0058) time: 2.5251 data: 0.0024 max mem: 31671 Epoch: [16] [ 810/5278] eta: 3:08:21 lr: 3.1390311473896164e-05 loss: 0.0731 (0.0749) loss_seg: 0.0729 (0.0805) loss_lansim: 0.1107 (0.1073) loss_contra: 0.0002 (0.0058) time: 2.5280 data: 0.0024 max mem: 31671 Epoch: [16] [ 820/5278] eta: 3:07:59 lr: 3.138806682364215e-05 loss: 0.0657 (0.0750) loss_seg: 0.0722 (0.0807) loss_lansim: 0.1105 (0.1073) loss_contra: 0.0001 (0.0057) time: 2.5405 data: 0.0024 max mem: 31671 Epoch: [16] [ 830/5278] eta: 3:07:35 lr: 3.1385822155552316e-05 loss: 0.0653 (0.0750) loss_seg: 0.0716 (0.0806) loss_lansim: 0.1096 (0.1073) loss_contra: 0.0001 (0.0056) time: 2.5376 data: 0.0024 max mem: 31671 Epoch: [16] [ 840/5278] eta: 3:07:10 lr: 3.1383577469625064e-05 loss: 0.0630 (0.0748) loss_seg: 0.0680 (0.0804) loss_lansim: 0.1096 (0.1074) loss_contra: 0.0001 (0.0056) time: 2.5428 data: 0.0024 max mem: 31671 Epoch: [16] [ 850/5278] eta: 3:06:45 lr: 3.1381332765858844e-05 loss: 0.0600 (0.0745) loss_seg: 0.0632 (0.0801) loss_lansim: 0.1096 (0.1074) loss_contra: 0.0001 (0.0056) time: 2.5378 data: 0.0024 max mem: 31671 Epoch: [16] [ 860/5278] eta: 3:06:20 lr: 3.137908804425211e-05 loss: 0.0600 (0.0745) loss_seg: 0.0655 (0.0801) loss_lansim: 0.1100 (0.1075) loss_contra: 0.0001 (0.0056) time: 2.5458 data: 0.0024 max mem: 31671 Epoch: [16] [ 870/5278] eta: 3:05:59 lr: 3.137684330480328e-05 loss: 0.0621 (0.0743) loss_seg: 0.0661 (0.0799) loss_lansim: 0.1100 (0.1074) loss_contra: 0.0001 (0.0055) time: 2.5529 data: 0.0024 max mem: 31671 Epoch: [16] [ 880/5278] eta: 3:05:37 lr: 3.1374598547510805e-05 loss: 0.0576 (0.0741) loss_seg: 0.0623 (0.0797) loss_lansim: 0.1085 (0.1074) loss_contra: 0.0001 (0.0055) time: 2.5528 data: 0.0024 max mem: 31671 Epoch: [16] [ 890/5278] eta: 3:05:12 lr: 3.1372353772373135e-05 loss: 0.0600 (0.0740) loss_seg: 0.0632 (0.0795) loss_lansim: 0.1068 (0.1072) loss_contra: 0.0002 (0.0056) time: 2.5638 data: 0.0024 max mem: 31671 Epoch: [16] [ 900/5278] eta: 3:04:47 lr: 3.1370108979388684e-05 loss: 0.0569 (0.0740) loss_seg: 0.0612 (0.0795) loss_lansim: 0.1063 (0.1073) loss_contra: 0.0002 (0.0058) time: 2.5609 data: 0.0024 max mem: 31671 Epoch: [16] [ 910/5278] eta: 3:04:21 lr: 3.136786416855592e-05 loss: 0.0562 (0.0738) loss_seg: 0.0600 (0.0794) loss_lansim: 0.1068 (0.1073) loss_contra: 0.0002 (0.0058) time: 2.5564 data: 0.0024 max mem: 31671 Epoch: [16] [ 920/5278] eta: 3:03:53 lr: 3.1365619339873266e-05 loss: 0.0562 (0.0738) loss_seg: 0.0597 (0.0793) loss_lansim: 0.1068 (0.1074) loss_contra: 0.0002 (0.0057) time: 2.5468 data: 0.0024 max mem: 31671 Epoch: [16] [ 930/5278] eta: 3:03:27 lr: 3.136337449333916e-05 loss: 0.0569 (0.0738) loss_seg: 0.0600 (0.0793) loss_lansim: 0.1084 (0.1074) loss_contra: 0.0002 (0.0057) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [16] [ 940/5278] eta: 3:03:01 lr: 3.136112962895204e-05 loss: 0.0580 (0.0741) loss_seg: 0.0608 (0.0795) loss_lansim: 0.1057 (0.1073) loss_contra: 0.0002 (0.0058) time: 2.5376 data: 0.0024 max mem: 31671 Epoch: [16] [ 950/5278] eta: 3:02:35 lr: 3.135888474671035e-05 loss: 0.0638 (0.0741) loss_seg: 0.0685 (0.0795) loss_lansim: 0.1050 (0.1073) loss_contra: 0.0003 (0.0058) time: 2.5363 data: 0.0024 max mem: 31671 Epoch: [16] [ 960/5278] eta: 3:02:10 lr: 3.1356639846612525e-05 loss: 0.0637 (0.0739) loss_seg: 0.0657 (0.0794) loss_lansim: 0.1027 (0.1072) loss_contra: 0.0003 (0.0057) time: 2.5380 data: 0.0024 max mem: 31671 Epoch: [16] [ 970/5278] eta: 3:01:45 lr: 3.1354394928657e-05 loss: 0.0637 (0.0738) loss_seg: 0.0657 (0.0793) loss_lansim: 0.1021 (0.1072) loss_contra: 0.0002 (0.0057) time: 2.5304 data: 0.0024 max mem: 31671 Epoch: [16] [ 980/5278] eta: 3:01:21 lr: 3.135214999284222e-05 loss: 0.0638 (0.0737) loss_seg: 0.0683 (0.0792) loss_lansim: 0.1031 (0.1071) loss_contra: 0.0002 (0.0057) time: 2.5264 data: 0.0024 max mem: 31671 Epoch: [16] [ 990/5278] eta: 3:00:54 lr: 3.134990503916661e-05 loss: 0.0634 (0.0736) loss_seg: 0.0657 (0.0791) loss_lansim: 0.1048 (0.1071) loss_contra: 0.0002 (0.0056) time: 2.5202 data: 0.0024 max mem: 31671 Epoch: [16] [1000/5278] eta: 3:00:26 lr: 3.1347660067628624e-05 loss: 0.0634 (0.0734) loss_seg: 0.0657 (0.0789) loss_lansim: 0.1046 (0.1071) loss_contra: 0.0001 (0.0056) time: 2.5145 data: 0.0024 max mem: 31671 Epoch: [16] [1010/5278] eta: 3:00:01 lr: 3.134541507822668e-05 loss: 0.0620 (0.0734) loss_seg: 0.0653 (0.0788) loss_lansim: 0.1041 (0.1071) loss_contra: 0.0000 (0.0056) time: 2.5159 data: 0.0024 max mem: 31671 Epoch: [16] [1020/5278] eta: 2:59:34 lr: 3.134317007095922e-05 loss: 0.0636 (0.0735) loss_seg: 0.0683 (0.0789) loss_lansim: 0.1042 (0.1072) loss_contra: 0.0001 (0.0056) time: 2.5158 data: 0.0024 max mem: 31671 Epoch: [16] [1030/5278] eta: 2:59:08 lr: 3.134092504582468e-05 loss: 0.0606 (0.0734) loss_seg: 0.0653 (0.0788) loss_lansim: 0.1043 (0.1072) loss_contra: 0.0001 (0.0055) time: 2.5170 data: 0.0024 max mem: 31671 Epoch: [16] [1040/5278] eta: 2:58:42 lr: 3.1338680002821505e-05 loss: 0.0620 (0.0734) loss_seg: 0.0668 (0.0788) loss_lansim: 0.1048 (0.1072) loss_contra: 0.0000 (0.0055) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [16] [1050/5278] eta: 2:58:16 lr: 3.133643494194812e-05 loss: 0.0588 (0.0732) loss_seg: 0.0639 (0.0786) loss_lansim: 0.1051 (0.1073) loss_contra: 0.0000 (0.0055) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [16] [1060/5278] eta: 2:57:48 lr: 3.133418986320296e-05 loss: 0.0594 (0.0733) loss_seg: 0.0644 (0.0787) loss_lansim: 0.1055 (0.1073) loss_contra: 0.0000 (0.0055) time: 2.5078 data: 0.0024 max mem: 31671 Epoch: [16] [1070/5278] eta: 2:57:23 lr: 3.133194476658447e-05 loss: 0.0606 (0.0734) loss_seg: 0.0653 (0.0788) loss_lansim: 0.1063 (0.1073) loss_contra: 0.0000 (0.0055) time: 2.5077 data: 0.0025 max mem: 31671 Epoch: [16] [1080/5278] eta: 2:56:55 lr: 3.1329699652091076e-05 loss: 0.0620 (0.0734) loss_seg: 0.0666 (0.0788) loss_lansim: 0.1074 (0.1073) loss_contra: 0.0000 (0.0055) time: 2.4989 data: 0.0024 max mem: 31671 Epoch: [16] [1090/5278] eta: 2:56:28 lr: 3.132745451972122e-05 loss: 0.0621 (0.0734) loss_seg: 0.0667 (0.0788) loss_lansim: 0.1079 (0.1074) loss_contra: 0.0000 (0.0054) time: 2.4982 data: 0.0024 max mem: 31671 Epoch: [16] [1100/5278] eta: 2:56:04 lr: 3.1325209369473326e-05 loss: 0.0622 (0.0733) loss_seg: 0.0668 (0.0788) loss_lansim: 0.1080 (0.1074) loss_contra: 0.0000 (0.0054) time: 2.5052 data: 0.0025 max mem: 31671 Epoch: [16] [1110/5278] eta: 2:55:38 lr: 3.132296420134582e-05 loss: 0.0622 (0.0732) loss_seg: 0.0668 (0.0787) loss_lansim: 0.1079 (0.1074) loss_contra: 0.0001 (0.0053) time: 2.5039 data: 0.0025 max mem: 31671 Epoch: [16] [1120/5278] eta: 2:55:17 lr: 3.132071901533717e-05 loss: 0.0622 (0.0737) loss_seg: 0.0668 (0.0791) loss_lansim: 0.1063 (0.1073) loss_contra: 0.0001 (0.0053) time: 2.5218 data: 0.0024 max mem: 31671 Epoch: [16] [1130/5278] eta: 2:54:49 lr: 3.131847381144577e-05 loss: 0.0671 (0.0738) loss_seg: 0.0742 (0.0794) loss_lansim: 0.1060 (0.1073) loss_contra: 0.0001 (0.0053) time: 2.5154 data: 0.0025 max mem: 31671 Epoch: [16] [1140/5278] eta: 2:54:24 lr: 3.131622858967008e-05 loss: 0.0637 (0.0738) loss_seg: 0.0691 (0.0793) loss_lansim: 0.1068 (0.1073) loss_contra: 0.0001 (0.0053) time: 2.5147 data: 0.0024 max mem: 31671 Epoch: [16] [1150/5278] eta: 2:53:59 lr: 3.131398335000853e-05 loss: 0.0671 (0.0739) loss_seg: 0.0742 (0.0794) loss_lansim: 0.1073 (0.1074) loss_contra: 0.0001 (0.0054) time: 2.5211 data: 0.0024 max mem: 31671 Epoch: [16] [1160/5278] eta: 2:53:36 lr: 3.1311738092459526e-05 loss: 0.0693 (0.0742) loss_seg: 0.0766 (0.0798) loss_lansim: 0.1073 (0.1073) loss_contra: 0.0001 (0.0055) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [16] [1170/5278] eta: 2:53:12 lr: 3.1309492817021534e-05 loss: 0.0670 (0.0741) loss_seg: 0.0738 (0.0797) loss_lansim: 0.1058 (0.1073) loss_contra: 0.0001 (0.0054) time: 2.5357 data: 0.0024 max mem: 31671 Epoch: [16] [1180/5278] eta: 2:52:45 lr: 3.1307247523692966e-05 loss: 0.0670 (0.0742) loss_seg: 0.0738 (0.0798) loss_lansim: 0.1053 (0.1072) loss_contra: 0.0001 (0.0054) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [16] [1190/5278] eta: 2:52:22 lr: 3.130500221247226e-05 loss: 0.0639 (0.0741) loss_seg: 0.0704 (0.0797) loss_lansim: 0.1050 (0.1072) loss_contra: 0.0001 (0.0054) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [16] [1200/5278] eta: 2:51:57 lr: 3.130275688335786e-05 loss: 0.0644 (0.0741) loss_seg: 0.0704 (0.0797) loss_lansim: 0.1036 (0.1071) loss_contra: 0.0001 (0.0053) time: 2.5466 data: 0.0024 max mem: 31671 Epoch: [16] [1210/5278] eta: 2:51:35 lr: 3.1300511536348174e-05 loss: 0.0639 (0.0741) loss_seg: 0.0698 (0.0797) loss_lansim: 0.1017 (0.1070) loss_contra: 0.0001 (0.0053) time: 2.5582 data: 0.0024 max mem: 31671 Epoch: [16] [1220/5278] eta: 2:51:11 lr: 3.129826617144164e-05 loss: 0.0631 (0.0740) loss_seg: 0.0691 (0.0796) loss_lansim: 0.1015 (0.1069) loss_contra: 0.0002 (0.0053) time: 2.5487 data: 0.0025 max mem: 31671 Epoch: [16] [1230/5278] eta: 2:50:43 lr: 3.12960207886367e-05 loss: 0.0627 (0.0740) loss_seg: 0.0671 (0.0795) loss_lansim: 0.1010 (0.1068) loss_contra: 0.0003 (0.0053) time: 2.5495 data: 0.0024 max mem: 31671 Epoch: [16] [1240/5278] eta: 2:50:17 lr: 3.129377538793177e-05 loss: 0.0607 (0.0739) loss_seg: 0.0668 (0.0795) loss_lansim: 0.1004 (0.1068) loss_contra: 0.0003 (0.0053) time: 2.5468 data: 0.0024 max mem: 31671 Epoch: [16] [1250/5278] eta: 2:49:54 lr: 3.1291529969325304e-05 loss: 0.0606 (0.0740) loss_seg: 0.0660 (0.0795) loss_lansim: 0.0992 (0.1068) loss_contra: 0.0003 (0.0062) time: 2.5508 data: 0.0024 max mem: 31671 Epoch: [16] [1260/5278] eta: 2:49:27 lr: 3.1289284532815696e-05 loss: 0.0574 (0.0741) loss_seg: 0.0627 (0.0796) loss_lansim: 0.0980 (0.1067) loss_contra: 0.0002 (0.0061) time: 2.5417 data: 0.0024 max mem: 31671 Epoch: [16] [1270/5278] eta: 2:49:01 lr: 3.128703907840141e-05 loss: 0.0574 (0.0740) loss_seg: 0.0627 (0.0795) loss_lansim: 0.0972 (0.1066) loss_contra: 0.0002 (0.0061) time: 2.5373 data: 0.0024 max mem: 31671 Epoch: [16] [1280/5278] eta: 2:48:35 lr: 3.1284793606080856e-05 loss: 0.0574 (0.0740) loss_seg: 0.0631 (0.0796) loss_lansim: 0.0972 (0.1066) loss_contra: 0.0002 (0.0061) time: 2.5406 data: 0.0024 max mem: 31671 Epoch: [16] [1290/5278] eta: 2:48:12 lr: 3.128254811585246e-05 loss: 0.0574 (0.0740) loss_seg: 0.0631 (0.0795) loss_lansim: 0.0967 (0.1065) loss_contra: 0.0002 (0.0062) time: 2.5392 data: 0.0024 max mem: 31671 Epoch: [16] [1300/5278] eta: 2:47:44 lr: 3.128030260771466e-05 loss: 0.0631 (0.0741) loss_seg: 0.0668 (0.0796) loss_lansim: 0.0972 (0.1064) loss_contra: 0.0002 (0.0061) time: 2.5302 data: 0.0024 max mem: 31671 Epoch: [16] [1310/5278] eta: 2:47:21 lr: 3.127805708166589e-05 loss: 0.0632 (0.0743) loss_seg: 0.0698 (0.0798) loss_lansim: 0.0972 (0.1063) loss_contra: 0.0002 (0.0062) time: 2.5273 data: 0.0024 max mem: 31671 Epoch: [16] [1320/5278] eta: 2:46:54 lr: 3.1275811537704565e-05 loss: 0.0649 (0.0743) loss_seg: 0.0707 (0.0798) loss_lansim: 0.0972 (0.1063) loss_contra: 0.0002 (0.0062) time: 2.5200 data: 0.0024 max mem: 31671 Epoch: [16] [1330/5278] eta: 2:46:29 lr: 3.127356597582913e-05 loss: 0.0656 (0.0743) loss_seg: 0.0696 (0.0798) loss_lansim: 0.0961 (0.1062) loss_contra: 0.0002 (0.0061) time: 2.5261 data: 0.0024 max mem: 31671 Epoch: [16] [1340/5278] eta: 2:46:04 lr: 3.127132039603799e-05 loss: 0.0674 (0.0743) loss_seg: 0.0707 (0.0798) loss_lansim: 0.0980 (0.1062) loss_contra: 0.0001 (0.0063) time: 2.5316 data: 0.0024 max mem: 31671 Epoch: [16] [1350/5278] eta: 2:45:39 lr: 3.126907479832959e-05 loss: 0.0678 (0.0743) loss_seg: 0.0707 (0.0798) loss_lansim: 0.0985 (0.1062) loss_contra: 0.0002 (0.0063) time: 2.5243 data: 0.0024 max mem: 31671 Epoch: [16] [1360/5278] eta: 2:45:13 lr: 3.126682918270235e-05 loss: 0.0678 (0.0744) loss_seg: 0.0713 (0.0799) loss_lansim: 0.0985 (0.1062) loss_contra: 0.0002 (0.0063) time: 2.5266 data: 0.0024 max mem: 31671 Epoch: [16] [1370/5278] eta: 2:44:48 lr: 3.12645835491547e-05 loss: 0.0730 (0.0750) loss_seg: 0.0792 (0.0806) loss_lansim: 0.0989 (0.1062) loss_contra: 0.0001 (0.0062) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [16] [1380/5278] eta: 2:44:24 lr: 3.1262337897685065e-05 loss: 0.0714 (0.0750) loss_seg: 0.0753 (0.0806) loss_lansim: 0.0992 (0.1062) loss_contra: 0.0001 (0.0063) time: 2.5368 data: 0.0024 max mem: 31671 Epoch: [16] [1390/5278] eta: 2:43:57 lr: 3.126009222829188e-05 loss: 0.0714 (0.0750) loss_seg: 0.0753 (0.0806) loss_lansim: 0.0994 (0.1062) loss_contra: 0.0001 (0.0063) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [16] [1400/5278] eta: 2:43:28 lr: 3.125784654097355e-05 loss: 0.0689 (0.0750) loss_seg: 0.0706 (0.0805) loss_lansim: 0.0994 (0.1062) loss_contra: 0.0001 (0.0063) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [16] [1410/5278] eta: 2:43:03 lr: 3.125560083572853e-05 loss: 0.0687 (0.0749) loss_seg: 0.0702 (0.0804) loss_lansim: 0.0986 (0.1061) loss_contra: 0.0001 (0.0063) time: 2.5133 data: 0.0025 max mem: 31671 Epoch: [16] [1420/5278] eta: 2:42:35 lr: 3.125335511255522e-05 loss: 0.0668 (0.0749) loss_seg: 0.0698 (0.0804) loss_lansim: 0.0994 (0.1061) loss_contra: 0.0001 (0.0062) time: 2.5070 data: 0.0025 max mem: 31671 Epoch: [16] [1430/5278] eta: 2:42:10 lr: 3.1251109371452056e-05 loss: 0.0652 (0.0748) loss_seg: 0.0698 (0.0804) loss_lansim: 0.0995 (0.1060) loss_contra: 0.0001 (0.0062) time: 2.5083 data: 0.0025 max mem: 31671 Epoch: [16] [1440/5278] eta: 2:41:42 lr: 3.1248863612417476e-05 loss: 0.0651 (0.0748) loss_seg: 0.0677 (0.0803) loss_lansim: 0.0995 (0.1059) loss_contra: 0.0001 (0.0062) time: 2.4949 data: 0.0025 max mem: 31671 Epoch: [16] [1450/5278] eta: 2:41:15 lr: 3.124661783544987e-05 loss: 0.0639 (0.0748) loss_seg: 0.0677 (0.0804) loss_lansim: 0.0986 (0.1059) loss_contra: 0.0001 (0.0061) time: 2.4892 data: 0.0025 max mem: 31671 Epoch: [16] [1460/5278] eta: 2:40:49 lr: 3.124437204054771e-05 loss: 0.0639 (0.0748) loss_seg: 0.0665 (0.0803) loss_lansim: 0.1011 (0.1059) loss_contra: 0.0001 (0.0061) time: 2.4871 data: 0.0025 max mem: 31671 Epoch: [16] [1470/5278] eta: 2:40:23 lr: 3.124212622770938e-05 loss: 0.0628 (0.0749) loss_seg: 0.0647 (0.0804) loss_lansim: 0.1013 (0.1059) loss_contra: 0.0001 (0.0060) time: 2.4835 data: 0.0025 max mem: 31671 Epoch: [16] [1480/5278] eta: 2:39:58 lr: 3.123988039693332e-05 loss: 0.0628 (0.0749) loss_seg: 0.0659 (0.0804) loss_lansim: 0.0995 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.4791 data: 0.0025 max mem: 31671 Epoch: [16] [1490/5278] eta: 2:39:33 lr: 3.123763454821796e-05 loss: 0.0640 (0.0749) loss_seg: 0.0669 (0.0805) loss_lansim: 0.1011 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.4848 data: 0.0026 max mem: 31671 Epoch: [16] [1500/5278] eta: 2:39:05 lr: 3.123538868156171e-05 loss: 0.0640 (0.0748) loss_seg: 0.0665 (0.0804) loss_lansim: 0.1013 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.4899 data: 0.0025 max mem: 31671 Epoch: [16] [1510/5278] eta: 2:38:42 lr: 3.1233142796963006e-05 loss: 0.0640 (0.0749) loss_seg: 0.0669 (0.0804) loss_lansim: 0.1019 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.4962 data: 0.0025 max mem: 31671 Epoch: [16] [1520/5278] eta: 2:38:16 lr: 3.123089689442026e-05 loss: 0.0650 (0.0749) loss_seg: 0.0708 (0.0804) loss_lansim: 0.1019 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5031 data: 0.0025 max mem: 31671 Epoch: [16] [1530/5278] eta: 2:37:51 lr: 3.12286509739319e-05 loss: 0.0650 (0.0750) loss_seg: 0.0708 (0.0805) loss_lansim: 0.1031 (0.1057) loss_contra: 0.0001 (0.0059) time: 2.5054 data: 0.0024 max mem: 31671 Epoch: [16] [1540/5278] eta: 2:37:26 lr: 3.1226405035496356e-05 loss: 0.0675 (0.0750) loss_seg: 0.0717 (0.0806) loss_lansim: 0.1035 (0.1057) loss_contra: 0.0001 (0.0061) time: 2.5160 data: 0.0024 max mem: 31671 Epoch: [16] [1550/5278] eta: 2:37:00 lr: 3.1224159079112037e-05 loss: 0.0650 (0.0748) loss_seg: 0.0706 (0.0804) loss_lansim: 0.1035 (0.1057) loss_contra: 0.0001 (0.0061) time: 2.5208 data: 0.0024 max mem: 31671 Epoch: [16] [1560/5278] eta: 2:36:36 lr: 3.122191310477737e-05 loss: 0.0710 (0.0748) loss_seg: 0.0746 (0.0804) loss_lansim: 0.1031 (0.1057) loss_contra: 0.0001 (0.0061) time: 2.5264 data: 0.0024 max mem: 31671 Epoch: [16] [1570/5278] eta: 2:36:11 lr: 3.1219667112490785e-05 loss: 0.0659 (0.0747) loss_seg: 0.0699 (0.0803) loss_lansim: 0.1021 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5314 data: 0.0024 max mem: 31671 Epoch: [16] [1580/5278] eta: 2:35:46 lr: 3.121742110225069e-05 loss: 0.0637 (0.0747) loss_seg: 0.0671 (0.0802) loss_lansim: 0.1031 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [16] [1590/5278] eta: 2:35:20 lr: 3.121517507405551e-05 loss: 0.0637 (0.0747) loss_seg: 0.0671 (0.0802) loss_lansim: 0.1031 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5281 data: 0.0023 max mem: 31671 Epoch: [16] [1600/5278] eta: 2:34:53 lr: 3.121292902790368e-05 loss: 0.0676 (0.0750) loss_seg: 0.0711 (0.0806) loss_lansim: 0.1035 (0.1057) loss_contra: 0.0001 (0.0059) time: 2.5284 data: 0.0023 max mem: 31671 Epoch: [16] [1610/5278] eta: 2:34:27 lr: 3.121068296379359e-05 loss: 0.0661 (0.0751) loss_seg: 0.0705 (0.0807) loss_lansim: 0.1048 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.5181 data: 0.0023 max mem: 31671 Epoch: [16] [1620/5278] eta: 2:34:02 lr: 3.12084368817237e-05 loss: 0.0660 (0.0752) loss_seg: 0.0700 (0.0808) loss_lansim: 0.1050 (0.1058) loss_contra: 0.0001 (0.0061) time: 2.5235 data: 0.0024 max mem: 31671 Epoch: [16] [1630/5278] eta: 2:33:37 lr: 3.12061907816924e-05 loss: 0.0660 (0.0752) loss_seg: 0.0700 (0.0808) loss_lansim: 0.1044 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.5208 data: 0.0024 max mem: 31671 Epoch: [16] [1640/5278] eta: 2:33:12 lr: 3.1203944663698116e-05 loss: 0.0660 (0.0752) loss_seg: 0.0700 (0.0808) loss_lansim: 0.1014 (0.1057) loss_contra: 0.0001 (0.0061) time: 2.5238 data: 0.0024 max mem: 31671 Epoch: [16] [1650/5278] eta: 2:32:47 lr: 3.120169852773928e-05 loss: 0.0697 (0.0753) loss_seg: 0.0745 (0.0808) loss_lansim: 0.1044 (0.1057) loss_contra: 0.0001 (0.0061) time: 2.5263 data: 0.0024 max mem: 31671 Epoch: [16] [1660/5278] eta: 2:32:24 lr: 3.1199452373814295e-05 loss: 0.0668 (0.0752) loss_seg: 0.0705 (0.0808) loss_lansim: 0.1050 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5296 data: 0.0024 max mem: 31671 Epoch: [16] [1670/5278] eta: 2:32:00 lr: 3.119720620192159e-05 loss: 0.0697 (0.0752) loss_seg: 0.0745 (0.0808) loss_lansim: 0.1050 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5330 data: 0.0024 max mem: 31671 Epoch: [16] [1680/5278] eta: 2:31:34 lr: 3.119496001205959e-05 loss: 0.0720 (0.0752) loss_seg: 0.0771 (0.0808) loss_lansim: 0.1054 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [16] [1690/5278] eta: 2:31:07 lr: 3.119271380422669e-05 loss: 0.0677 (0.0753) loss_seg: 0.0729 (0.0809) loss_lansim: 0.1044 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [16] [1700/5278] eta: 2:30:43 lr: 3.119046757842134e-05 loss: 0.0668 (0.0754) loss_seg: 0.0695 (0.0810) loss_lansim: 0.1024 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [16] [1710/5278] eta: 2:30:15 lr: 3.118822133464193e-05 loss: 0.0710 (0.0755) loss_seg: 0.0751 (0.0810) loss_lansim: 0.1017 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [16] [1720/5278] eta: 2:29:50 lr: 3.1185975072886895e-05 loss: 0.0709 (0.0754) loss_seg: 0.0759 (0.0810) loss_lansim: 0.1020 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [16] [1730/5278] eta: 2:29:25 lr: 3.1183728793154646e-05 loss: 0.0710 (0.0755) loss_seg: 0.0771 (0.0811) loss_lansim: 0.1024 (0.1057) loss_contra: 0.0001 (0.0059) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [16] [1740/5278] eta: 2:28:57 lr: 3.1181482495443595e-05 loss: 0.0709 (0.0757) loss_seg: 0.0749 (0.0813) loss_lansim: 0.1068 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.5141 data: 0.0025 max mem: 31671 Epoch: [16] [1750/5278] eta: 2:28:33 lr: 3.117923617975218e-05 loss: 0.0710 (0.0756) loss_seg: 0.0751 (0.0813) loss_lansim: 0.1063 (0.1058) loss_contra: 0.0001 (0.0059) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [16] [1760/5278] eta: 2:28:08 lr: 3.117698984607879e-05 loss: 0.0709 (0.0756) loss_seg: 0.0749 (0.0813) loss_lansim: 0.1068 (0.1059) loss_contra: 0.0001 (0.0059) time: 2.5141 data: 0.0025 max mem: 31671 Epoch: [16] [1770/5278] eta: 2:27:44 lr: 3.117474349442186e-05 loss: 0.0697 (0.0757) loss_seg: 0.0749 (0.0813) loss_lansim: 0.1063 (0.1058) loss_contra: 0.0001 (0.0059) time: 2.5101 data: 0.0025 max mem: 31671 Epoch: [16] [1780/5278] eta: 2:27:17 lr: 3.1172497124779797e-05 loss: 0.0710 (0.0758) loss_seg: 0.0759 (0.0814) loss_lansim: 0.1052 (0.1058) loss_contra: 0.0001 (0.0058) time: 2.5048 data: 0.0025 max mem: 31671 Epoch: [16] [1790/5278] eta: 2:26:51 lr: 3.117025073715103e-05 loss: 0.0710 (0.0757) loss_seg: 0.0770 (0.0814) loss_lansim: 0.1060 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.5129 data: 0.0025 max mem: 31671 Epoch: [16] [1800/5278] eta: 2:26:28 lr: 3.116800433153395e-05 loss: 0.0688 (0.0757) loss_seg: 0.0730 (0.0814) loss_lansim: 0.1060 (0.1058) loss_contra: 0.0001 (0.0059) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [16] [1810/5278] eta: 2:26:03 lr: 3.1165757907927e-05 loss: 0.0659 (0.0757) loss_seg: 0.0719 (0.0814) loss_lansim: 0.1060 (0.1058) loss_contra: 0.0001 (0.0059) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [16] [1820/5278] eta: 2:25:36 lr: 3.116351146632857e-05 loss: 0.0661 (0.0757) loss_seg: 0.0721 (0.0814) loss_lansim: 0.1052 (0.1058) loss_contra: 0.0001 (0.0060) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [16] [1830/5278] eta: 2:25:11 lr: 3.11612650067371e-05 loss: 0.0653 (0.0757) loss_seg: 0.0715 (0.0813) loss_lansim: 0.1039 (0.1057) loss_contra: 0.0001 (0.0059) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [16] [1840/5278] eta: 2:24:46 lr: 3.115901852915098e-05 loss: 0.0659 (0.0757) loss_seg: 0.0729 (0.0813) loss_lansim: 0.1022 (0.1057) loss_contra: 0.0001 (0.0059) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [16] [1850/5278] eta: 2:24:21 lr: 3.115677203356865e-05 loss: 0.0632 (0.0756) loss_seg: 0.0689 (0.0813) loss_lansim: 0.1013 (0.1057) loss_contra: 0.0001 (0.0059) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [16] [1860/5278] eta: 2:23:58 lr: 3.11545255199885e-05 loss: 0.0659 (0.0756) loss_seg: 0.0730 (0.0812) loss_lansim: 0.0999 (0.1056) loss_contra: 0.0001 (0.0059) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [16] [1870/5278] eta: 2:23:32 lr: 3.115227898840896e-05 loss: 0.0675 (0.0755) loss_seg: 0.0746 (0.0812) loss_lansim: 0.1014 (0.1057) loss_contra: 0.0001 (0.0058) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [16] [1880/5278] eta: 2:23:07 lr: 3.1150032438828436e-05 loss: 0.0653 (0.0755) loss_seg: 0.0722 (0.0812) loss_lansim: 0.1014 (0.1057) loss_contra: 0.0001 (0.0058) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [16] [1890/5278] eta: 2:22:42 lr: 3.114778587124535e-05 loss: 0.0653 (0.0756) loss_seg: 0.0699 (0.0812) loss_lansim: 0.1014 (0.1056) loss_contra: 0.0001 (0.0058) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [16] [1900/5278] eta: 2:22:18 lr: 3.1145539285658096e-05 loss: 0.0666 (0.0757) loss_seg: 0.0730 (0.0813) loss_lansim: 0.1014 (0.1056) loss_contra: 0.0001 (0.0058) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [16] [1910/5278] eta: 2:21:54 lr: 3.1143292682065104e-05 loss: 0.0675 (0.0758) loss_seg: 0.0737 (0.0814) loss_lansim: 0.1003 (0.1056) loss_contra: 0.0001 (0.0057) time: 2.5503 data: 0.0025 max mem: 31671 Epoch: [16] [1920/5278] eta: 2:21:29 lr: 3.114104606046478e-05 loss: 0.0656 (0.0757) loss_seg: 0.0699 (0.0813) loss_lansim: 0.0999 (0.1056) loss_contra: 0.0001 (0.0059) time: 2.5577 data: 0.0025 max mem: 31671 Epoch: [16] [1930/5278] eta: 2:21:05 lr: 3.1138799420855535e-05 loss: 0.0653 (0.0756) loss_seg: 0.0690 (0.0813) loss_lansim: 0.1003 (0.1055) loss_contra: 0.0001 (0.0059) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [16] [1940/5278] eta: 2:20:40 lr: 3.113655276323579e-05 loss: 0.0666 (0.0758) loss_seg: 0.0720 (0.0814) loss_lansim: 0.1003 (0.1055) loss_contra: 0.0001 (0.0060) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [16] [1950/5278] eta: 2:20:14 lr: 3.113430608760394e-05 loss: 0.0666 (0.0757) loss_seg: 0.0720 (0.0814) loss_lansim: 0.1002 (0.1055) loss_contra: 0.0001 (0.0059) time: 2.5588 data: 0.0025 max mem: 31671 Epoch: [16] [1960/5278] eta: 2:19:50 lr: 3.113205939395842e-05 loss: 0.0676 (0.0758) loss_seg: 0.0722 (0.0814) loss_lansim: 0.1011 (0.1055) loss_contra: 0.0001 (0.0059) time: 2.5554 data: 0.0025 max mem: 31671 Epoch: [16] [1970/5278] eta: 2:19:24 lr: 3.112981268229762e-05 loss: 0.0675 (0.0759) loss_seg: 0.0705 (0.0816) loss_lansim: 0.1011 (0.1054) loss_contra: 0.0001 (0.0059) time: 2.5586 data: 0.0025 max mem: 31671 Epoch: [16] [1980/5278] eta: 2:18:58 lr: 3.1127565952619955e-05 loss: 0.0675 (0.0759) loss_seg: 0.0700 (0.0816) loss_lansim: 0.1011 (0.1054) loss_contra: 0.0001 (0.0059) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [16] [1990/5278] eta: 2:18:33 lr: 3.112531920492385e-05 loss: 0.0649 (0.0758) loss_seg: 0.0700 (0.0814) loss_lansim: 0.1013 (0.1055) loss_contra: 0.0001 (0.0059) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [16] [2000/5278] eta: 2:18:06 lr: 3.1123072439207695e-05 loss: 0.0648 (0.0758) loss_seg: 0.0666 (0.0815) loss_lansim: 0.1026 (0.1055) loss_contra: 0.0001 (0.0058) time: 2.5356 data: 0.0025 max mem: 31671 Epoch: [16] [2010/5278] eta: 2:17:41 lr: 3.112082565546991e-05 loss: 0.0633 (0.0759) loss_seg: 0.0648 (0.0815) loss_lansim: 0.1032 (0.1055) loss_contra: 0.0001 (0.0058) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [16] [2020/5278] eta: 2:17:16 lr: 3.1118578853708906e-05 loss: 0.0634 (0.0758) loss_seg: 0.0700 (0.0815) loss_lansim: 0.1039 (0.1055) loss_contra: 0.0001 (0.0058) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [16] [2030/5278] eta: 2:16:49 lr: 3.1116332033923087e-05 loss: 0.0649 (0.0759) loss_seg: 0.0713 (0.0815) loss_lansim: 0.1039 (0.1056) loss_contra: 0.0001 (0.0058) time: 2.5129 data: 0.0025 max mem: 31671 Epoch: [16] [2040/5278] eta: 2:16:24 lr: 3.111408519611087e-05 loss: 0.0616 (0.0758) loss_seg: 0.0658 (0.0815) loss_lansim: 0.1032 (0.1055) loss_contra: 0.0001 (0.0058) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [16] [2050/5278] eta: 2:15:58 lr: 3.111183834027066e-05 loss: 0.0633 (0.0758) loss_seg: 0.0665 (0.0814) loss_lansim: 0.1055 (0.1056) loss_contra: 0.0002 (0.0058) time: 2.5050 data: 0.0025 max mem: 31671 Epoch: [16] [2060/5278] eta: 2:15:33 lr: 3.110959146640086e-05 loss: 0.0615 (0.0758) loss_seg: 0.0658 (0.0815) loss_lansim: 0.1058 (0.1056) loss_contra: 0.0002 (0.0058) time: 2.5022 data: 0.0025 max mem: 31671 Epoch: [16] [2070/5278] eta: 2:15:07 lr: 3.110734457449989e-05 loss: 0.0600 (0.0757) loss_seg: 0.0618 (0.0814) loss_lansim: 0.1057 (0.1056) loss_contra: 0.0002 (0.0058) time: 2.4998 data: 0.0025 max mem: 31671 Epoch: [16] [2080/5278] eta: 2:14:42 lr: 3.1105097664566146e-05 loss: 0.0616 (0.0757) loss_seg: 0.0661 (0.0814) loss_lansim: 0.1080 (0.1056) loss_contra: 0.0002 (0.0059) time: 2.5047 data: 0.0024 max mem: 31671 Epoch: [16] [2090/5278] eta: 2:14:16 lr: 3.1102850736598045e-05 loss: 0.0678 (0.0757) loss_seg: 0.0679 (0.0814) loss_lansim: 0.1075 (0.1056) loss_contra: 0.0002 (0.0061) time: 2.4995 data: 0.0024 max mem: 31671 Epoch: [16] [2100/5278] eta: 2:13:50 lr: 3.1100603790594e-05 loss: 0.0678 (0.0758) loss_seg: 0.0714 (0.0814) loss_lansim: 0.1042 (0.1055) loss_contra: 0.0002 (0.0061) time: 2.5064 data: 0.0024 max mem: 31671 Epoch: [16] [2110/5278] eta: 2:13:25 lr: 3.1098356826552395e-05 loss: 0.0683 (0.0758) loss_seg: 0.0716 (0.0814) loss_lansim: 0.1050 (0.1055) loss_contra: 0.0002 (0.0061) time: 2.5068 data: 0.0024 max mem: 31671 Epoch: [16] [2120/5278] eta: 2:12:59 lr: 3.109610984447166e-05 loss: 0.0683 (0.0757) loss_seg: 0.0714 (0.0814) loss_lansim: 0.1042 (0.1055) loss_contra: 0.0002 (0.0060) time: 2.5037 data: 0.0024 max mem: 31671 Epoch: [16] [2130/5278] eta: 2:12:35 lr: 3.109386284435019e-05 loss: 0.0643 (0.0757) loss_seg: 0.0677 (0.0814) loss_lansim: 0.1038 (0.1055) loss_contra: 0.0002 (0.0061) time: 2.5136 data: 0.0024 max mem: 31671 Epoch: [16] [2140/5278] eta: 2:12:09 lr: 3.1091615826186396e-05 loss: 0.0678 (0.0758) loss_seg: 0.0691 (0.0814) loss_lansim: 0.1058 (0.1055) loss_contra: 0.0001 (0.0063) time: 2.5138 data: 0.0024 max mem: 31671 Epoch: [16] [2150/5278] eta: 2:11:44 lr: 3.108936878997869e-05 loss: 0.0691 (0.0758) loss_seg: 0.0716 (0.0815) loss_lansim: 0.1050 (0.1055) loss_contra: 0.0001 (0.0063) time: 2.5232 data: 0.0024 max mem: 31671 Epoch: [16] [2160/5278] eta: 2:11:19 lr: 3.108712173572546e-05 loss: 0.0692 (0.0759) loss_seg: 0.0757 (0.0816) loss_lansim: 0.1041 (0.1055) loss_contra: 0.0001 (0.0062) time: 2.5210 data: 0.0024 max mem: 31671 Epoch: [16] [2170/5278] eta: 2:10:54 lr: 3.108487466342514e-05 loss: 0.0694 (0.0759) loss_seg: 0.0764 (0.0816) loss_lansim: 0.1041 (0.1055) loss_contra: 0.0001 (0.0062) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [16] [2180/5278] eta: 2:10:28 lr: 3.1082627573076105e-05 loss: 0.0692 (0.0759) loss_seg: 0.0757 (0.0816) loss_lansim: 0.1038 (0.1055) loss_contra: 0.0001 (0.0063) time: 2.5214 data: 0.0024 max mem: 31671 Epoch: [16] [2190/5278] eta: 2:10:02 lr: 3.108038046467678e-05 loss: 0.0692 (0.0760) loss_seg: 0.0766 (0.0817) loss_lansim: 0.1058 (0.1055) loss_contra: 0.0002 (0.0063) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [16] [2200/5278] eta: 2:09:38 lr: 3.107813333822557e-05 loss: 0.0686 (0.0760) loss_seg: 0.0753 (0.0817) loss_lansim: 0.1059 (0.1055) loss_contra: 0.0001 (0.0062) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [16] [2210/5278] eta: 2:09:13 lr: 3.107588619372086e-05 loss: 0.0641 (0.0759) loss_seg: 0.0680 (0.0816) loss_lansim: 0.1043 (0.1055) loss_contra: 0.0001 (0.0062) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [16] [2220/5278] eta: 2:08:47 lr: 3.1073639031161075e-05 loss: 0.0641 (0.0759) loss_seg: 0.0705 (0.0816) loss_lansim: 0.1058 (0.1055) loss_contra: 0.0002 (0.0062) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [16] [2230/5278] eta: 2:08:20 lr: 3.1071391850544614e-05 loss: 0.0686 (0.0763) loss_seg: 0.0745 (0.0820) loss_lansim: 0.1062 (0.1055) loss_contra: 0.0002 (0.0062) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [16] [2240/5278] eta: 2:07:55 lr: 3.106914465186987e-05 loss: 0.0655 (0.0762) loss_seg: 0.0723 (0.0819) loss_lansim: 0.1064 (0.1055) loss_contra: 0.0002 (0.0062) time: 2.5161 data: 0.0025 max mem: 31671 Epoch: [16] [2250/5278] eta: 2:07:29 lr: 3.106689743513527e-05 loss: 0.0641 (0.0762) loss_seg: 0.0680 (0.0819) loss_lansim: 0.1062 (0.1055) loss_contra: 0.0002 (0.0061) time: 2.5049 data: 0.0025 max mem: 31671 Epoch: [16] [2260/5278] eta: 2:07:03 lr: 3.10646502003392e-05 loss: 0.0616 (0.0762) loss_seg: 0.0674 (0.0818) loss_lansim: 0.1058 (0.1055) loss_contra: 0.0002 (0.0061) time: 2.5037 data: 0.0025 max mem: 31671 Epoch: [16] [2270/5278] eta: 2:06:38 lr: 3.1062402947480065e-05 loss: 0.0610 (0.0762) loss_seg: 0.0672 (0.0819) loss_lansim: 0.1058 (0.1055) loss_contra: 0.0001 (0.0061) time: 2.5027 data: 0.0024 max mem: 31671 Epoch: [16] [2280/5278] eta: 2:06:14 lr: 3.1060155676556265e-05 loss: 0.0616 (0.0763) loss_seg: 0.0677 (0.0821) loss_lansim: 0.1048 (0.1055) loss_contra: 0.0001 (0.0061) time: 2.5144 data: 0.0024 max mem: 31671 Epoch: [16] [2290/5278] eta: 2:05:48 lr: 3.105790838756621e-05 loss: 0.0616 (0.0766) loss_seg: 0.0677 (0.0823) loss_lansim: 0.1048 (0.1056) loss_contra: 0.0001 (0.0061) time: 2.5162 data: 0.0024 max mem: 31671 Epoch: [16] [2300/5278] eta: 2:05:24 lr: 3.1055661080508294e-05 loss: 0.0655 (0.0766) loss_seg: 0.0677 (0.0823) loss_lansim: 0.1070 (0.1056) loss_contra: 0.0001 (0.0060) time: 2.5110 data: 0.0024 max mem: 31671 Epoch: [16] [2310/5278] eta: 2:04:58 lr: 3.105341375538093e-05 loss: 0.0684 (0.0765) loss_seg: 0.0723 (0.0822) loss_lansim: 0.1084 (0.1056) loss_contra: 0.0001 (0.0060) time: 2.5048 data: 0.0024 max mem: 31671 Epoch: [16] [2320/5278] eta: 2:04:33 lr: 3.105116641218251e-05 loss: 0.0684 (0.0765) loss_seg: 0.0723 (0.0823) loss_lansim: 0.1086 (0.1057) loss_contra: 0.0001 (0.0060) time: 2.5152 data: 0.0024 max mem: 31671 Epoch: [16] [2330/5278] eta: 2:04:07 lr: 3.104891905091144e-05 loss: 0.0696 (0.0768) loss_seg: 0.0753 (0.0826) loss_lansim: 0.1079 (0.1056) loss_contra: 0.0001 (0.0060) time: 2.5210 data: 0.0024 max mem: 31671 Epoch: [16] [2340/5278] eta: 2:03:42 lr: 3.104667167156612e-05 loss: 0.0707 (0.0768) loss_seg: 0.0766 (0.0825) loss_lansim: 0.1058 (0.1056) loss_contra: 0.0001 (0.0061) time: 2.5189 data: 0.0024 max mem: 31671 Epoch: [16] [2350/5278] eta: 2:03:16 lr: 3.104442427414495e-05 loss: 0.0718 (0.0768) loss_seg: 0.0777 (0.0825) loss_lansim: 0.1048 (0.1056) loss_contra: 0.0001 (0.0061) time: 2.5271 data: 0.0024 max mem: 31671 Epoch: [16] [2360/5278] eta: 2:02:50 lr: 3.104217685864633e-05 loss: 0.0739 (0.0769) loss_seg: 0.0790 (0.0827) loss_lansim: 0.1048 (0.1056) loss_contra: 0.0001 (0.0061) time: 2.5246 data: 0.0024 max mem: 31671 Epoch: [16] [2370/5278] eta: 2:02:25 lr: 3.1039929425068665e-05 loss: 0.0724 (0.0769) loss_seg: 0.0782 (0.0827) loss_lansim: 0.1047 (0.1056) loss_contra: 0.0001 (0.0061) time: 2.5248 data: 0.0024 max mem: 31671 Epoch: [16] [2380/5278] eta: 2:02:00 lr: 3.103768197341035e-05 loss: 0.0693 (0.0769) loss_seg: 0.0753 (0.0827) loss_lansim: 0.1048 (0.1056) loss_contra: 0.0001 (0.0061) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [16] [2390/5278] eta: 2:01:34 lr: 3.103543450366979e-05 loss: 0.0660 (0.0769) loss_seg: 0.0702 (0.0826) loss_lansim: 0.1035 (0.1056) loss_contra: 0.0001 (0.0062) time: 2.5145 data: 0.0024 max mem: 31671 Epoch: [16] [2400/5278] eta: 2:01:09 lr: 3.1033187015845375e-05 loss: 0.0647 (0.0768) loss_seg: 0.0698 (0.0825) loss_lansim: 0.1017 (0.1055) loss_contra: 0.0001 (0.0062) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [16] [2410/5278] eta: 2:00:44 lr: 3.103093950993552e-05 loss: 0.0647 (0.0769) loss_seg: 0.0698 (0.0826) loss_lansim: 0.1003 (0.1055) loss_contra: 0.0001 (0.0062) time: 2.5182 data: 0.0025 max mem: 31671 Epoch: [16] [2420/5278] eta: 2:00:18 lr: 3.1028691985938604e-05 loss: 0.0636 (0.0768) loss_seg: 0.0687 (0.0825) loss_lansim: 0.1003 (0.1055) loss_contra: 0.0002 (0.0062) time: 2.5091 data: 0.0025 max mem: 31671 Epoch: [16] [2430/5278] eta: 1:59:52 lr: 3.102644444385305e-05 loss: 0.0627 (0.0769) loss_seg: 0.0673 (0.0826) loss_lansim: 0.1007 (0.1055) loss_contra: 0.0002 (0.0062) time: 2.5044 data: 0.0025 max mem: 31671 Epoch: [16] [2440/5278] eta: 1:59:28 lr: 3.1024196883677235e-05 loss: 0.0639 (0.0770) loss_seg: 0.0683 (0.0827) loss_lansim: 0.1008 (0.1056) loss_contra: 0.0003 (0.0062) time: 2.5135 data: 0.0025 max mem: 31671 Epoch: [16] [2450/5278] eta: 1:59:04 lr: 3.1021949305409556e-05 loss: 0.0639 (0.0771) loss_seg: 0.0683 (0.0828) loss_lansim: 0.1007 (0.1055) loss_contra: 0.0003 (0.0062) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [16] [2460/5278] eta: 1:58:39 lr: 3.101970170904844e-05 loss: 0.0632 (0.0771) loss_seg: 0.0673 (0.0828) loss_lansim: 0.1001 (0.1055) loss_contra: 0.0003 (0.0062) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [16] [2470/5278] eta: 1:58:13 lr: 3.101745409459225e-05 loss: 0.0634 (0.0771) loss_seg: 0.0680 (0.0828) loss_lansim: 0.1001 (0.1055) loss_contra: 0.0002 (0.0062) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [16] [2480/5278] eta: 1:57:47 lr: 3.10152064620394e-05 loss: 0.0634 (0.0770) loss_seg: 0.0673 (0.0828) loss_lansim: 0.1008 (0.1055) loss_contra: 0.0002 (0.0061) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [16] [2490/5278] eta: 1:57:22 lr: 3.101295881138829e-05 loss: 0.0649 (0.0771) loss_seg: 0.0683 (0.0828) loss_lansim: 0.1008 (0.1054) loss_contra: 0.0002 (0.0063) time: 2.5334 data: 0.0025 max mem: 31671 Epoch: [16] [2500/5278] eta: 1:56:57 lr: 3.1010711142637314e-05 loss: 0.0639 (0.0770) loss_seg: 0.0689 (0.0828) loss_lansim: 0.1012 (0.1055) loss_contra: 0.0005 (0.0062) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [16] [2510/5278] eta: 1:56:31 lr: 3.1008463455784856e-05 loss: 0.0639 (0.0771) loss_seg: 0.0689 (0.0828) loss_lansim: 0.1019 (0.1054) loss_contra: 0.0005 (0.0062) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [16] [2520/5278] eta: 1:56:07 lr: 3.100621575082933e-05 loss: 0.0632 (0.0770) loss_seg: 0.0689 (0.0828) loss_lansim: 0.1015 (0.1054) loss_contra: 0.0005 (0.0062) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [16] [2530/5278] eta: 1:55:42 lr: 3.100396802776912e-05 loss: 0.0649 (0.0771) loss_seg: 0.0699 (0.0828) loss_lansim: 0.1015 (0.1054) loss_contra: 0.0005 (0.0062) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [16] [2540/5278] eta: 1:55:17 lr: 3.100172028660264e-05 loss: 0.0624 (0.0771) loss_seg: 0.0680 (0.0829) loss_lansim: 0.1008 (0.1053) loss_contra: 0.0005 (0.0062) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [16] [2550/5278] eta: 1:54:52 lr: 3.099947252732825e-05 loss: 0.0626 (0.0771) loss_seg: 0.0689 (0.0829) loss_lansim: 0.1008 (0.1053) loss_contra: 0.0004 (0.0062) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [16] [2560/5278] eta: 1:54:26 lr: 3.0997224749944385e-05 loss: 0.0646 (0.0772) loss_seg: 0.0692 (0.0829) loss_lansim: 0.1009 (0.1053) loss_contra: 0.0005 (0.0062) time: 2.5256 data: 0.0024 max mem: 31671 Epoch: [16] [2570/5278] eta: 1:54:01 lr: 3.099497695444942e-05 loss: 0.0649 (0.0772) loss_seg: 0.0692 (0.0829) loss_lansim: 0.1009 (0.1053) loss_contra: 0.0003 (0.0062) time: 2.5306 data: 0.0024 max mem: 31671 Epoch: [16] [2580/5278] eta: 1:53:36 lr: 3.099272914084175e-05 loss: 0.0646 (0.0772) loss_seg: 0.0694 (0.0829) loss_lansim: 0.0995 (0.1053) loss_contra: 0.0004 (0.0062) time: 2.5446 data: 0.0024 max mem: 31671 Epoch: [16] [2590/5278] eta: 1:53:11 lr: 3.099048130911977e-05 loss: 0.0669 (0.0772) loss_seg: 0.0714 (0.0830) loss_lansim: 0.0986 (0.1052) loss_contra: 0.0003 (0.0062) time: 2.5381 data: 0.0024 max mem: 31671 Epoch: [16] [2600/5278] eta: 1:52:45 lr: 3.098823345928188e-05 loss: 0.0669 (0.0772) loss_seg: 0.0714 (0.0830) loss_lansim: 0.0976 (0.1052) loss_contra: 0.0002 (0.0063) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [16] [2610/5278] eta: 1:52:21 lr: 3.0985985591326464e-05 loss: 0.0696 (0.0773) loss_seg: 0.0743 (0.0830) loss_lansim: 0.0970 (0.1051) loss_contra: 0.0001 (0.0064) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [16] [2620/5278] eta: 1:51:56 lr: 3.098373770525192e-05 loss: 0.0733 (0.0773) loss_seg: 0.0796 (0.0831) loss_lansim: 0.0958 (0.1051) loss_contra: 0.0001 (0.0064) time: 2.5485 data: 0.0025 max mem: 31671 Epoch: [16] [2630/5278] eta: 1:51:30 lr: 3.098148980105665e-05 loss: 0.0772 (0.0774) loss_seg: 0.0814 (0.0832) loss_lansim: 0.0953 (0.1051) loss_contra: 0.0001 (0.0064) time: 2.5382 data: 0.0024 max mem: 31671 Epoch: [16] [2640/5278] eta: 1:51:05 lr: 3.097924187873903e-05 loss: 0.0782 (0.0775) loss_seg: 0.0861 (0.0833) loss_lansim: 0.0965 (0.1051) loss_contra: 0.0001 (0.0064) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [16] [2650/5278] eta: 1:50:40 lr: 3.097699393829747e-05 loss: 0.0765 (0.0775) loss_seg: 0.0814 (0.0832) loss_lansim: 0.0958 (0.1050) loss_contra: 0.0002 (0.0064) time: 2.5347 data: 0.0024 max mem: 31671 Epoch: [16] [2660/5278] eta: 1:50:15 lr: 3.097474597973034e-05 loss: 0.0779 (0.0775) loss_seg: 0.0855 (0.0833) loss_lansim: 0.0957 (0.1050) loss_contra: 0.0002 (0.0064) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [16] [2670/5278] eta: 1:49:50 lr: 3.097249800303607e-05 loss: 0.0765 (0.0775) loss_seg: 0.0814 (0.0833) loss_lansim: 0.0946 (0.1049) loss_contra: 0.0002 (0.0064) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [16] [2680/5278] eta: 1:49:25 lr: 3.097025000821301e-05 loss: 0.0761 (0.0775) loss_seg: 0.0796 (0.0832) loss_lansim: 0.0937 (0.1049) loss_contra: 0.0001 (0.0063) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [16] [2690/5278] eta: 1:48:59 lr: 3.0968001995259574e-05 loss: 0.0718 (0.0774) loss_seg: 0.0771 (0.0832) loss_lansim: 0.0943 (0.1049) loss_contra: 0.0001 (0.0063) time: 2.5336 data: 0.0024 max mem: 31671 Epoch: [16] [2700/5278] eta: 1:48:33 lr: 3.096575396417416e-05 loss: 0.0718 (0.0775) loss_seg: 0.0771 (0.0832) loss_lansim: 0.0950 (0.1049) loss_contra: 0.0002 (0.0063) time: 2.5360 data: 0.0024 max mem: 31671 Epoch: [16] [2710/5278] eta: 1:48:08 lr: 3.096350591495514e-05 loss: 0.0710 (0.0774) loss_seg: 0.0756 (0.0831) loss_lansim: 0.0949 (0.1048) loss_contra: 0.0002 (0.0063) time: 2.5280 data: 0.0024 max mem: 31671 Epoch: [16] [2720/5278] eta: 1:47:43 lr: 3.0961257847600914e-05 loss: 0.0685 (0.0773) loss_seg: 0.0704 (0.0831) loss_lansim: 0.0939 (0.1048) loss_contra: 0.0002 (0.0063) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [16] [2730/5278] eta: 1:47:18 lr: 3.095900976210988e-05 loss: 0.0676 (0.0773) loss_seg: 0.0691 (0.0831) loss_lansim: 0.0939 (0.1047) loss_contra: 0.0002 (0.0063) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [16] [2740/5278] eta: 1:46:52 lr: 3.0956761658480406e-05 loss: 0.0676 (0.0774) loss_seg: 0.0691 (0.0831) loss_lansim: 0.0933 (0.1047) loss_contra: 0.0001 (0.0063) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [16] [2750/5278] eta: 1:46:27 lr: 3.095451353671091e-05 loss: 0.0676 (0.0774) loss_seg: 0.0688 (0.0832) loss_lansim: 0.0937 (0.1047) loss_contra: 0.0001 (0.0063) time: 2.5312 data: 0.0026 max mem: 31671 Epoch: [16] [2760/5278] eta: 1:46:02 lr: 3.095226539679976e-05 loss: 0.0676 (0.0774) loss_seg: 0.0688 (0.0832) loss_lansim: 0.0939 (0.1046) loss_contra: 0.0001 (0.0062) time: 2.5169 data: 0.0026 max mem: 31671 Epoch: [16] [2770/5278] eta: 1:45:36 lr: 3.095001723874536e-05 loss: 0.0656 (0.0775) loss_seg: 0.0682 (0.0833) loss_lansim: 0.0950 (0.1046) loss_contra: 0.0001 (0.0062) time: 2.5095 data: 0.0026 max mem: 31671 Epoch: [16] [2780/5278] eta: 1:45:10 lr: 3.0947769062546096e-05 loss: 0.0623 (0.0774) loss_seg: 0.0681 (0.0832) loss_lansim: 0.0959 (0.1046) loss_contra: 0.0001 (0.0062) time: 2.5051 data: 0.0025 max mem: 31671 Epoch: [16] [2790/5278] eta: 1:44:46 lr: 3.094552086820035e-05 loss: 0.0643 (0.0773) loss_seg: 0.0682 (0.0831) loss_lansim: 0.0939 (0.1045) loss_contra: 0.0001 (0.0062) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [16] [2800/5278] eta: 1:44:21 lr: 3.094327265570651e-05 loss: 0.0656 (0.0773) loss_seg: 0.0688 (0.0831) loss_lansim: 0.0929 (0.1045) loss_contra: 0.0001 (0.0062) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [16] [2810/5278] eta: 1:43:55 lr: 3.094102442506298e-05 loss: 0.0645 (0.0772) loss_seg: 0.0688 (0.0830) loss_lansim: 0.0943 (0.1045) loss_contra: 0.0001 (0.0062) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [16] [2820/5278] eta: 1:43:30 lr: 3.093877617626812e-05 loss: 0.0645 (0.0773) loss_seg: 0.0688 (0.0831) loss_lansim: 0.0932 (0.1044) loss_contra: 0.0001 (0.0062) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [16] [2830/5278] eta: 1:43:04 lr: 3.0936527909320353e-05 loss: 0.0640 (0.0772) loss_seg: 0.0686 (0.0830) loss_lansim: 0.0948 (0.1044) loss_contra: 0.0001 (0.0062) time: 2.5209 data: 0.0024 max mem: 31671 Epoch: [16] [2840/5278] eta: 1:42:39 lr: 3.0934279624218046e-05 loss: 0.0656 (0.0774) loss_seg: 0.0710 (0.0832) loss_lansim: 0.0955 (0.1044) loss_contra: 0.0001 (0.0061) time: 2.5166 data: 0.0024 max mem: 31671 Epoch: [16] [2850/5278] eta: 1:42:13 lr: 3.093203132095959e-05 loss: 0.0670 (0.0775) loss_seg: 0.0739 (0.0833) loss_lansim: 0.0948 (0.1044) loss_contra: 0.0001 (0.0061) time: 2.5062 data: 0.0024 max mem: 31671 Epoch: [16] [2860/5278] eta: 1:41:47 lr: 3.0929782999543365e-05 loss: 0.0668 (0.0775) loss_seg: 0.0731 (0.0833) loss_lansim: 0.0944 (0.1043) loss_contra: 0.0001 (0.0061) time: 2.5054 data: 0.0024 max mem: 31671 Epoch: [16] [2870/5278] eta: 1:41:22 lr: 3.0927534659967765e-05 loss: 0.0668 (0.0776) loss_seg: 0.0731 (0.0834) loss_lansim: 0.0932 (0.1043) loss_contra: 0.0001 (0.0061) time: 2.5101 data: 0.0024 max mem: 31671 Epoch: [16] [2880/5278] eta: 1:40:56 lr: 3.0925286302231176e-05 loss: 0.0678 (0.0776) loss_seg: 0.0742 (0.0835) loss_lansim: 0.0921 (0.1042) loss_contra: 0.0002 (0.0061) time: 2.5047 data: 0.0025 max mem: 31671 Epoch: [16] [2890/5278] eta: 1:40:29 lr: 3.0923037926331985e-05 loss: 0.0678 (0.0776) loss_seg: 0.0750 (0.0834) loss_lansim: 0.0932 (0.1042) loss_contra: 0.0002 (0.0061) time: 2.4828 data: 0.0025 max mem: 31671 Epoch: [16] [2900/5278] eta: 1:40:04 lr: 3.092078953226857e-05 loss: 0.0705 (0.0776) loss_seg: 0.0751 (0.0834) loss_lansim: 0.0928 (0.1042) loss_contra: 0.0002 (0.0061) time: 2.4748 data: 0.0025 max mem: 31671 Epoch: [16] [2910/5278] eta: 1:39:38 lr: 3.091854112003934e-05 loss: 0.0755 (0.0776) loss_seg: 0.0834 (0.0835) loss_lansim: 0.0928 (0.1041) loss_contra: 0.0002 (0.0060) time: 2.4710 data: 0.0025 max mem: 31671 Epoch: [16] [2920/5278] eta: 1:39:12 lr: 3.091629268964265e-05 loss: 0.0755 (0.0777) loss_seg: 0.0834 (0.0835) loss_lansim: 0.0950 (0.1041) loss_contra: 0.0002 (0.0060) time: 2.4674 data: 0.0025 max mem: 31671 Epoch: [16] [2930/5278] eta: 1:38:47 lr: 3.09140442410769e-05 loss: 0.0784 (0.0777) loss_seg: 0.0837 (0.0835) loss_lansim: 0.0924 (0.1041) loss_contra: 0.0002 (0.0060) time: 2.4640 data: 0.0024 max mem: 31671 Epoch: [16] [2940/5278] eta: 1:38:21 lr: 3.091179577434048e-05 loss: 0.0712 (0.0777) loss_seg: 0.0781 (0.0835) loss_lansim: 0.0912 (0.1040) loss_contra: 0.0002 (0.0061) time: 2.4667 data: 0.0024 max mem: 31671 Epoch: [16] [2950/5278] eta: 1:37:56 lr: 3.090954728943176e-05 loss: 0.0639 (0.0776) loss_seg: 0.0698 (0.0834) loss_lansim: 0.0904 (0.1040) loss_contra: 0.0002 (0.0061) time: 2.4703 data: 0.0024 max mem: 31671 Epoch: [16] [2960/5278] eta: 1:37:31 lr: 3.0907298786349145e-05 loss: 0.0639 (0.0776) loss_seg: 0.0698 (0.0834) loss_lansim: 0.0903 (0.1040) loss_contra: 0.0002 (0.0061) time: 2.4785 data: 0.0024 max mem: 31671 Epoch: [16] [2970/5278] eta: 1:37:06 lr: 3.0905050265090995e-05 loss: 0.0645 (0.0776) loss_seg: 0.0706 (0.0834) loss_lansim: 0.0907 (0.1039) loss_contra: 0.0002 (0.0061) time: 2.4821 data: 0.0024 max mem: 31671 Epoch: [16] [2980/5278] eta: 1:36:40 lr: 3.090280172565571e-05 loss: 0.0645 (0.0776) loss_seg: 0.0706 (0.0835) loss_lansim: 0.0907 (0.1039) loss_contra: 0.0002 (0.0061) time: 2.4855 data: 0.0024 max mem: 31671 Epoch: [16] [2990/5278] eta: 1:36:15 lr: 3.0900553168041665e-05 loss: 0.0667 (0.0777) loss_seg: 0.0725 (0.0835) loss_lansim: 0.0902 (0.1038) loss_contra: 0.0003 (0.0061) time: 2.5056 data: 0.0025 max mem: 31671 Epoch: [16] [3000/5278] eta: 1:35:51 lr: 3.089830459224725e-05 loss: 0.0660 (0.0777) loss_seg: 0.0723 (0.0835) loss_lansim: 0.0891 (0.1038) loss_contra: 0.0002 (0.0061) time: 2.5140 data: 0.0025 max mem: 31671 Epoch: [16] [3010/5278] eta: 1:35:25 lr: 3.0896055998270843e-05 loss: 0.0667 (0.0778) loss_seg: 0.0723 (0.0836) loss_lansim: 0.0891 (0.1037) loss_contra: 0.0003 (0.0061) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [16] [3020/5278] eta: 1:35:00 lr: 3.089380738611083e-05 loss: 0.0660 (0.0778) loss_seg: 0.0712 (0.0836) loss_lansim: 0.0885 (0.1037) loss_contra: 0.0002 (0.0061) time: 2.5241 data: 0.0025 max mem: 31671 Epoch: [16] [3030/5278] eta: 1:34:35 lr: 3.0891558755765594e-05 loss: 0.0705 (0.0778) loss_seg: 0.0730 (0.0837) loss_lansim: 0.0885 (0.1036) loss_contra: 0.0002 (0.0060) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [16] [3040/5278] eta: 1:34:10 lr: 3.0889310107233514e-05 loss: 0.0719 (0.0778) loss_seg: 0.0782 (0.0836) loss_lansim: 0.0884 (0.1036) loss_contra: 0.0001 (0.0060) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [16] [3050/5278] eta: 1:33:44 lr: 3.0887061440512973e-05 loss: 0.0772 (0.0778) loss_seg: 0.0827 (0.0837) loss_lansim: 0.0891 (0.1036) loss_contra: 0.0001 (0.0060) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [16] [3060/5278] eta: 1:33:20 lr: 3.0884812755602346e-05 loss: 0.0777 (0.0779) loss_seg: 0.0857 (0.0837) loss_lansim: 0.0895 (0.1036) loss_contra: 0.0001 (0.0061) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [16] [3070/5278] eta: 1:32:54 lr: 3.0882564052500033e-05 loss: 0.0784 (0.0779) loss_seg: 0.0858 (0.0838) loss_lansim: 0.0901 (0.1035) loss_contra: 0.0001 (0.0060) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [16] [3080/5278] eta: 1:32:29 lr: 3.0880315331204395e-05 loss: 0.0780 (0.0779) loss_seg: 0.0836 (0.0838) loss_lansim: 0.0904 (0.1035) loss_contra: 0.0001 (0.0060) time: 2.5378 data: 0.0024 max mem: 31671 Epoch: [16] [3090/5278] eta: 1:32:04 lr: 3.0878066591713824e-05 loss: 0.0775 (0.0779) loss_seg: 0.0821 (0.0838) loss_lansim: 0.0904 (0.1035) loss_contra: 0.0001 (0.0060) time: 2.5401 data: 0.0024 max mem: 31671 Epoch: [16] [3100/5278] eta: 1:31:38 lr: 3.08758178340267e-05 loss: 0.0770 (0.0779) loss_seg: 0.0809 (0.0838) loss_lansim: 0.0928 (0.1034) loss_contra: 0.0001 (0.0060) time: 2.5250 data: 0.0024 max mem: 31671 Epoch: [16] [3110/5278] eta: 1:31:12 lr: 3.087356905814139e-05 loss: 0.0740 (0.0779) loss_seg: 0.0797 (0.0837) loss_lansim: 0.0923 (0.1034) loss_contra: 0.0001 (0.0060) time: 2.5218 data: 0.0024 max mem: 31671 Epoch: [16] [3120/5278] eta: 1:30:47 lr: 3.087132026405629e-05 loss: 0.0740 (0.0779) loss_seg: 0.0797 (0.0838) loss_lansim: 0.0923 (0.1034) loss_contra: 0.0001 (0.0060) time: 2.5247 data: 0.0024 max mem: 31671 Epoch: [16] [3130/5278] eta: 1:30:22 lr: 3.086907145176977e-05 loss: 0.0732 (0.0779) loss_seg: 0.0793 (0.0837) loss_lansim: 0.0932 (0.1034) loss_contra: 0.0001 (0.0060) time: 2.5226 data: 0.0024 max mem: 31671 Epoch: [16] [3140/5278] eta: 1:29:57 lr: 3.0866822621280216e-05 loss: 0.0718 (0.0778) loss_seg: 0.0755 (0.0837) loss_lansim: 0.0937 (0.1033) loss_contra: 0.0001 (0.0060) time: 2.5227 data: 0.0024 max mem: 31671 Epoch: [16] [3150/5278] eta: 1:29:32 lr: 3.086457377258601e-05 loss: 0.0718 (0.0779) loss_seg: 0.0755 (0.0837) loss_lansim: 0.0938 (0.1033) loss_contra: 0.0001 (0.0060) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [16] [3160/5278] eta: 1:29:07 lr: 3.0862324905685517e-05 loss: 0.0667 (0.0778) loss_seg: 0.0727 (0.0836) loss_lansim: 0.0937 (0.1033) loss_contra: 0.0001 (0.0061) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [16] [3170/5278] eta: 1:28:42 lr: 3.086007602057712e-05 loss: 0.0642 (0.0778) loss_seg: 0.0687 (0.0836) loss_lansim: 0.0934 (0.1032) loss_contra: 0.0001 (0.0065) time: 2.5191 data: 0.0024 max mem: 31671 Epoch: [16] [3180/5278] eta: 1:28:16 lr: 3.085782711725921e-05 loss: 0.0620 (0.0777) loss_seg: 0.0651 (0.0835) loss_lansim: 0.0934 (0.1032) loss_contra: 0.0002 (0.0065) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [16] [3190/5278] eta: 1:27:52 lr: 3.085557819573015e-05 loss: 0.0619 (0.0776) loss_seg: 0.0645 (0.0835) loss_lansim: 0.0939 (0.1032) loss_contra: 0.0003 (0.0065) time: 2.5266 data: 0.0024 max mem: 31671 Epoch: [16] [3200/5278] eta: 1:27:26 lr: 3.085332925598833e-05 loss: 0.0609 (0.0775) loss_seg: 0.0641 (0.0834) loss_lansim: 0.0926 (0.1031) loss_contra: 0.0003 (0.0067) time: 2.5314 data: 0.0024 max mem: 31671 Epoch: [16] [3210/5278] eta: 1:27:01 lr: 3.085108029803211e-05 loss: 0.0595 (0.0776) loss_seg: 0.0641 (0.0834) loss_lansim: 0.0926 (0.1031) loss_contra: 0.0003 (0.0067) time: 2.5397 data: 0.0024 max mem: 31671 Epoch: [16] [3220/5278] eta: 1:26:36 lr: 3.084883132185988e-05 loss: 0.0579 (0.0776) loss_seg: 0.0612 (0.0834) loss_lansim: 0.0930 (0.1031) loss_contra: 0.0003 (0.0067) time: 2.5326 data: 0.0024 max mem: 31671 Epoch: [16] [3230/5278] eta: 1:26:10 lr: 3.084658232747003e-05 loss: 0.0579 (0.0776) loss_seg: 0.0612 (0.0834) loss_lansim: 0.0929 (0.1030) loss_contra: 0.0003 (0.0066) time: 2.5288 data: 0.0024 max mem: 31671 Epoch: [16] [3240/5278] eta: 1:25:45 lr: 3.08443333148609e-05 loss: 0.0579 (0.0776) loss_seg: 0.0616 (0.0834) loss_lansim: 0.0934 (0.1030) loss_contra: 0.0002 (0.0066) time: 2.5218 data: 0.0024 max mem: 31671 Epoch: [16] [3250/5278] eta: 1:25:19 lr: 3.0842084284030907e-05 loss: 0.0568 (0.0776) loss_seg: 0.0612 (0.0834) loss_lansim: 0.0934 (0.1030) loss_contra: 0.0003 (0.0066) time: 2.5264 data: 0.0024 max mem: 31671 Epoch: [16] [3260/5278] eta: 1:24:54 lr: 3.083983523497839e-05 loss: 0.0568 (0.0777) loss_seg: 0.0612 (0.0836) loss_lansim: 0.0934 (0.1030) loss_contra: 0.0003 (0.0066) time: 2.5096 data: 0.0024 max mem: 31671 Epoch: [16] [3270/5278] eta: 1:24:29 lr: 3.0837586167701755e-05 loss: 0.0568 (0.0776) loss_seg: 0.0614 (0.0835) loss_lansim: 0.0926 (0.1029) loss_contra: 0.0003 (0.0066) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [16] [3280/5278] eta: 1:24:03 lr: 3.0835337082199364e-05 loss: 0.0588 (0.0776) loss_seg: 0.0627 (0.0835) loss_lansim: 0.0930 (0.1029) loss_contra: 0.0003 (0.0066) time: 2.5133 data: 0.0024 max mem: 31671 Epoch: [16] [3290/5278] eta: 1:23:38 lr: 3.083308797846959e-05 loss: 0.0581 (0.0775) loss_seg: 0.0627 (0.0834) loss_lansim: 0.0937 (0.1029) loss_contra: 0.0002 (0.0066) time: 2.5071 data: 0.0024 max mem: 31671 Epoch: [16] [3300/5278] eta: 1:23:13 lr: 3.0830838856510806e-05 loss: 0.0620 (0.0776) loss_seg: 0.0642 (0.0834) loss_lansim: 0.0934 (0.1029) loss_contra: 0.0002 (0.0066) time: 2.5166 data: 0.0025 max mem: 31671 Epoch: [16] [3310/5278] eta: 1:22:48 lr: 3.0828589716321406e-05 loss: 0.0620 (0.0776) loss_seg: 0.0648 (0.0834) loss_lansim: 0.0932 (0.1028) loss_contra: 0.0002 (0.0066) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [16] [3320/5278] eta: 1:22:23 lr: 3.082634055789973e-05 loss: 0.0627 (0.0776) loss_seg: 0.0662 (0.0835) loss_lansim: 0.0932 (0.1028) loss_contra: 0.0003 (0.0066) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [16] [3330/5278] eta: 1:21:58 lr: 3.0824091381244194e-05 loss: 0.0591 (0.0776) loss_seg: 0.0642 (0.0835) loss_lansim: 0.0927 (0.1028) loss_contra: 0.0003 (0.0066) time: 2.5248 data: 0.0024 max mem: 31671 Epoch: [16] [3340/5278] eta: 1:21:33 lr: 3.0821842186353135e-05 loss: 0.0602 (0.0776) loss_seg: 0.0648 (0.0835) loss_lansim: 0.0919 (0.1028) loss_contra: 0.0004 (0.0066) time: 2.5327 data: 0.0024 max mem: 31671 Epoch: [16] [3350/5278] eta: 1:21:08 lr: 3.081959297322494e-05 loss: 0.0636 (0.0776) loss_seg: 0.0700 (0.0835) loss_lansim: 0.0919 (0.1027) loss_contra: 0.0003 (0.0066) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [16] [3360/5278] eta: 1:20:42 lr: 3.0817343741858e-05 loss: 0.0659 (0.0776) loss_seg: 0.0715 (0.0835) loss_lansim: 0.0922 (0.1027) loss_contra: 0.0003 (0.0066) time: 2.5440 data: 0.0024 max mem: 31671 Epoch: [16] [3370/5278] eta: 1:20:17 lr: 3.081509449225066e-05 loss: 0.0666 (0.0776) loss_seg: 0.0730 (0.0835) loss_lansim: 0.0931 (0.1027) loss_contra: 0.0003 (0.0066) time: 2.5376 data: 0.0024 max mem: 31671 Epoch: [16] [3380/5278] eta: 1:19:52 lr: 3.08128452244013e-05 loss: 0.0636 (0.0775) loss_seg: 0.0700 (0.0834) loss_lansim: 0.0919 (0.1027) loss_contra: 0.0004 (0.0065) time: 2.5398 data: 0.0024 max mem: 31671 Epoch: [16] [3390/5278] eta: 1:19:26 lr: 3.081059593830831e-05 loss: 0.0659 (0.0775) loss_seg: 0.0705 (0.0833) loss_lansim: 0.0917 (0.1026) loss_contra: 0.0004 (0.0065) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [16] [3400/5278] eta: 1:19:01 lr: 3.080834663397004e-05 loss: 0.0665 (0.0774) loss_seg: 0.0697 (0.0833) loss_lansim: 0.0919 (0.1026) loss_contra: 0.0004 (0.0065) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [16] [3410/5278] eta: 1:18:36 lr: 3.080609731138488e-05 loss: 0.0659 (0.0774) loss_seg: 0.0687 (0.0833) loss_lansim: 0.0927 (0.1026) loss_contra: 0.0003 (0.0065) time: 2.5262 data: 0.0024 max mem: 31671 Epoch: [16] [3420/5278] eta: 1:18:10 lr: 3.080384797055119e-05 loss: 0.0659 (0.0774) loss_seg: 0.0687 (0.0833) loss_lansim: 0.0919 (0.1026) loss_contra: 0.0001 (0.0065) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [16] [3430/5278] eta: 1:17:45 lr: 3.080159861146733e-05 loss: 0.0636 (0.0773) loss_seg: 0.0681 (0.0832) loss_lansim: 0.0927 (0.1026) loss_contra: 0.0001 (0.0065) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [16] [3440/5278] eta: 1:17:20 lr: 3.0799349234131707e-05 loss: 0.0634 (0.0773) loss_seg: 0.0678 (0.0832) loss_lansim: 0.0931 (0.1025) loss_contra: 0.0002 (0.0065) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [16] [3450/5278] eta: 1:16:55 lr: 3.0797099838542656e-05 loss: 0.0630 (0.0776) loss_seg: 0.0659 (0.0834) loss_lansim: 0.0931 (0.1025) loss_contra: 0.0001 (0.0065) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [16] [3460/5278] eta: 1:16:30 lr: 3.079485042469857e-05 loss: 0.0605 (0.0776) loss_seg: 0.0623 (0.0834) loss_lansim: 0.0934 (0.1025) loss_contra: 0.0001 (0.0065) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [16] [3470/5278] eta: 1:16:04 lr: 3.07926009925978e-05 loss: 0.0598 (0.0776) loss_seg: 0.0625 (0.0835) loss_lansim: 0.0941 (0.1025) loss_contra: 0.0001 (0.0065) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [16] [3480/5278] eta: 1:15:39 lr: 3.0790351542238734e-05 loss: 0.0605 (0.0776) loss_seg: 0.0657 (0.0834) loss_lansim: 0.0944 (0.1025) loss_contra: 0.0001 (0.0065) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [16] [3490/5278] eta: 1:15:14 lr: 3.0788102073619736e-05 loss: 0.0598 (0.0776) loss_seg: 0.0639 (0.0834) loss_lansim: 0.0944 (0.1024) loss_contra: 0.0001 (0.0065) time: 2.5230 data: 0.0024 max mem: 31671 Epoch: [16] [3500/5278] eta: 1:14:48 lr: 3.078585258673917e-05 loss: 0.0598 (0.0776) loss_seg: 0.0657 (0.0835) loss_lansim: 0.0944 (0.1024) loss_contra: 0.0002 (0.0065) time: 2.5204 data: 0.0024 max mem: 31671 Epoch: [16] [3510/5278] eta: 1:14:23 lr: 3.0783603081595405e-05 loss: 0.0650 (0.0776) loss_seg: 0.0717 (0.0835) loss_lansim: 0.0942 (0.1024) loss_contra: 0.0001 (0.0064) time: 2.5243 data: 0.0024 max mem: 31671 Epoch: [16] [3520/5278] eta: 1:13:58 lr: 3.0781353558186826e-05 loss: 0.0648 (0.0776) loss_seg: 0.0693 (0.0834) loss_lansim: 0.0944 (0.1024) loss_contra: 0.0002 (0.0064) time: 2.5301 data: 0.0024 max mem: 31671 Epoch: [16] [3530/5278] eta: 1:13:33 lr: 3.077910401651177e-05 loss: 0.0650 (0.0775) loss_seg: 0.0717 (0.0834) loss_lansim: 0.0944 (0.1023) loss_contra: 0.0001 (0.0065) time: 2.5253 data: 0.0024 max mem: 31671 Epoch: [16] [3540/5278] eta: 1:13:08 lr: 3.077685445656864e-05 loss: 0.0597 (0.0775) loss_seg: 0.0660 (0.0834) loss_lansim: 0.0947 (0.1023) loss_contra: 0.0001 (0.0065) time: 2.5382 data: 0.0024 max mem: 31671 Epoch: [16] [3550/5278] eta: 1:12:43 lr: 3.0774604878355785e-05 loss: 0.0596 (0.0775) loss_seg: 0.0657 (0.0834) loss_lansim: 0.0942 (0.1023) loss_contra: 0.0002 (0.0065) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [16] [3560/5278] eta: 1:12:17 lr: 3.077235528187157e-05 loss: 0.0597 (0.0775) loss_seg: 0.0659 (0.0834) loss_lansim: 0.0940 (0.1023) loss_contra: 0.0002 (0.0065) time: 2.5283 data: 0.0024 max mem: 31671 Epoch: [16] [3570/5278] eta: 1:11:52 lr: 3.077010566711438e-05 loss: 0.0643 (0.0775) loss_seg: 0.0685 (0.0833) loss_lansim: 0.0936 (0.1023) loss_contra: 0.0002 (0.0065) time: 2.5262 data: 0.0024 max mem: 31671 Epoch: [16] [3580/5278] eta: 1:11:27 lr: 3.0767856034082566e-05 loss: 0.0651 (0.0776) loss_seg: 0.0694 (0.0835) loss_lansim: 0.0936 (0.1023) loss_contra: 0.0002 (0.0065) time: 2.5308 data: 0.0024 max mem: 31671 Epoch: [16] [3590/5278] eta: 1:11:01 lr: 3.07656063827745e-05 loss: 0.0659 (0.0776) loss_seg: 0.0694 (0.0834) loss_lansim: 0.0940 (0.1022) loss_contra: 0.0002 (0.0065) time: 2.5268 data: 0.0024 max mem: 31671 Epoch: [16] [3600/5278] eta: 1:10:36 lr: 3.0763356713188545e-05 loss: 0.0651 (0.0775) loss_seg: 0.0690 (0.0834) loss_lansim: 0.0942 (0.1022) loss_contra: 0.0002 (0.0065) time: 2.5381 data: 0.0024 max mem: 31671 Epoch: [16] [3610/5278] eta: 1:10:11 lr: 3.0761107025323065e-05 loss: 0.0597 (0.0776) loss_seg: 0.0659 (0.0835) loss_lansim: 0.0958 (0.1022) loss_contra: 0.0002 (0.0065) time: 2.5414 data: 0.0024 max mem: 31671 Epoch: [16] [3620/5278] eta: 1:09:46 lr: 3.075885731917645e-05 loss: 0.0659 (0.0776) loss_seg: 0.0710 (0.0835) loss_lansim: 0.0963 (0.1022) loss_contra: 0.0001 (0.0065) time: 2.5354 data: 0.0024 max mem: 31671 Epoch: [16] [3630/5278] eta: 1:09:21 lr: 3.075660759474703e-05 loss: 0.0687 (0.0776) loss_seg: 0.0734 (0.0835) loss_lansim: 0.0961 (0.1022) loss_contra: 0.0002 (0.0064) time: 2.5392 data: 0.0024 max mem: 31671 Epoch: [16] [3640/5278] eta: 1:08:56 lr: 3.075435785203319e-05 loss: 0.0702 (0.0777) loss_seg: 0.0776 (0.0836) loss_lansim: 0.0958 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5301 data: 0.0024 max mem: 31671 Epoch: [16] [3650/5278] eta: 1:08:30 lr: 3.07521080910333e-05 loss: 0.0702 (0.0777) loss_seg: 0.0776 (0.0836) loss_lansim: 0.0971 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [16] [3660/5278] eta: 1:08:06 lr: 3.074985831174572e-05 loss: 0.0702 (0.0777) loss_seg: 0.0778 (0.0836) loss_lansim: 0.0971 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5382 data: 0.0024 max mem: 31671 Epoch: [16] [3670/5278] eta: 1:07:40 lr: 3.0747608514168805e-05 loss: 0.0702 (0.0777) loss_seg: 0.0778 (0.0836) loss_lansim: 0.0972 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5428 data: 0.0024 max mem: 31671 Epoch: [16] [3680/5278] eta: 1:07:15 lr: 3.074535869830094e-05 loss: 0.0687 (0.0777) loss_seg: 0.0758 (0.0836) loss_lansim: 0.0972 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5441 data: 0.0024 max mem: 31671 Epoch: [16] [3690/5278] eta: 1:06:49 lr: 3.074310886414046e-05 loss: 0.0692 (0.0776) loss_seg: 0.0758 (0.0835) loss_lansim: 0.0972 (0.1021) loss_contra: 0.0001 (0.0064) time: 2.5385 data: 0.0024 max mem: 31671 Epoch: [16] [3700/5278] eta: 1:06:24 lr: 3.074085901168575e-05 loss: 0.0692 (0.0776) loss_seg: 0.0758 (0.0835) loss_lansim: 0.0983 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5360 data: 0.0024 max mem: 31671 Epoch: [16] [3710/5278] eta: 1:05:59 lr: 3.073860914093518e-05 loss: 0.0692 (0.0776) loss_seg: 0.0758 (0.0835) loss_lansim: 0.0988 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5344 data: 0.0024 max mem: 31671 Epoch: [16] [3720/5278] eta: 1:05:34 lr: 3.073635925188709e-05 loss: 0.0701 (0.0777) loss_seg: 0.0763 (0.0836) loss_lansim: 0.0992 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5323 data: 0.0024 max mem: 31671 Epoch: [16] [3730/5278] eta: 1:05:08 lr: 3.073410934453986e-05 loss: 0.0672 (0.0777) loss_seg: 0.0740 (0.0835) loss_lansim: 0.0992 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5174 data: 0.0024 max mem: 31671 Epoch: [16] [3740/5278] eta: 1:04:43 lr: 3.0731859418891834e-05 loss: 0.0661 (0.0776) loss_seg: 0.0724 (0.0835) loss_lansim: 0.0994 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5201 data: 0.0024 max mem: 31671 Epoch: [16] [3750/5278] eta: 1:04:18 lr: 3.07296094749414e-05 loss: 0.0661 (0.0776) loss_seg: 0.0717 (0.0835) loss_lansim: 0.0994 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5237 data: 0.0024 max mem: 31671 Epoch: [16] [3760/5278] eta: 1:03:53 lr: 3.072735951268691e-05 loss: 0.0656 (0.0776) loss_seg: 0.0717 (0.0835) loss_lansim: 0.1021 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5171 data: 0.0024 max mem: 31671 Epoch: [16] [3770/5278] eta: 1:03:27 lr: 3.072510953212672e-05 loss: 0.0656 (0.0776) loss_seg: 0.0717 (0.0835) loss_lansim: 0.1021 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5146 data: 0.0024 max mem: 31671 Epoch: [16] [3780/5278] eta: 1:03:02 lr: 3.07228595332592e-05 loss: 0.0648 (0.0776) loss_seg: 0.0710 (0.0835) loss_lansim: 0.1023 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5159 data: 0.0024 max mem: 31671 Epoch: [16] [3790/5278] eta: 1:02:37 lr: 3.07206095160827e-05 loss: 0.0661 (0.0776) loss_seg: 0.0727 (0.0835) loss_lansim: 0.1029 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5206 data: 0.0024 max mem: 31671 Epoch: [16] [3800/5278] eta: 1:02:12 lr: 3.0718359480595586e-05 loss: 0.0687 (0.0776) loss_seg: 0.0757 (0.0835) loss_lansim: 0.1029 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [16] [3810/5278] eta: 1:01:47 lr: 3.071610942679623e-05 loss: 0.0716 (0.0776) loss_seg: 0.0791 (0.0835) loss_lansim: 0.1023 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5248 data: 0.0024 max mem: 31671 Epoch: [16] [3820/5278] eta: 1:01:22 lr: 3.071385935468297e-05 loss: 0.0687 (0.0776) loss_seg: 0.0757 (0.0835) loss_lansim: 0.1023 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5392 data: 0.0024 max mem: 31671 Epoch: [16] [3830/5278] eta: 1:00:57 lr: 3.071160926425419e-05 loss: 0.0716 (0.0776) loss_seg: 0.0791 (0.0835) loss_lansim: 0.1032 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5480 data: 0.0024 max mem: 31671 Epoch: [16] [3840/5278] eta: 1:00:31 lr: 3.070935915550824e-05 loss: 0.0716 (0.0776) loss_seg: 0.0791 (0.0835) loss_lansim: 0.1023 (0.1022) loss_contra: 0.0001 (0.0063) time: 2.5483 data: 0.0024 max mem: 31671 Epoch: [16] [3850/5278] eta: 1:00:06 lr: 3.0707109028443476e-05 loss: 0.0716 (0.0776) loss_seg: 0.0791 (0.0835) loss_lansim: 0.1021 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [16] [3860/5278] eta: 0:59:41 lr: 3.0704858883058265e-05 loss: 0.0721 (0.0776) loss_seg: 0.0797 (0.0835) loss_lansim: 0.1013 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5592 data: 0.0025 max mem: 31671 Epoch: [16] [3870/5278] eta: 0:59:16 lr: 3.070260871935095e-05 loss: 0.0716 (0.0776) loss_seg: 0.0791 (0.0835) loss_lansim: 0.1013 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5606 data: 0.0025 max mem: 31671 Epoch: [16] [3880/5278] eta: 0:58:51 lr: 3.0700358537319904e-05 loss: 0.0717 (0.0776) loss_seg: 0.0792 (0.0835) loss_lansim: 0.1020 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5577 data: 0.0025 max mem: 31671 Epoch: [16] [3890/5278] eta: 0:58:25 lr: 3.069810833696348e-05 loss: 0.0709 (0.0777) loss_seg: 0.0767 (0.0835) loss_lansim: 0.1036 (0.1023) loss_contra: 0.0001 (0.0064) time: 2.5585 data: 0.0025 max mem: 31671 Epoch: [16] [3900/5278] eta: 0:58:00 lr: 3.0695858118280044e-05 loss: 0.0693 (0.0777) loss_seg: 0.0750 (0.0836) loss_lansim: 0.1033 (0.1023) loss_contra: 0.0002 (0.0064) time: 2.5615 data: 0.0025 max mem: 31671 Epoch: [16] [3910/5278] eta: 0:57:35 lr: 3.069360788126795e-05 loss: 0.0685 (0.0777) loss_seg: 0.0745 (0.0836) loss_lansim: 0.1021 (0.1023) loss_contra: 0.0002 (0.0064) time: 2.5439 data: 0.0024 max mem: 31671 Epoch: [16] [3920/5278] eta: 0:57:10 lr: 3.069135762592555e-05 loss: 0.0694 (0.0777) loss_seg: 0.0750 (0.0836) loss_lansim: 0.1018 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5500 data: 0.0024 max mem: 31671 Epoch: [16] [3930/5278] eta: 0:56:45 lr: 3.068910735225121e-05 loss: 0.0685 (0.0777) loss_seg: 0.0745 (0.0836) loss_lansim: 0.1006 (0.1022) loss_contra: 0.0002 (0.0064) time: 2.5498 data: 0.0024 max mem: 31671 Epoch: [16] [3940/5278] eta: 0:56:19 lr: 3.068685706024328e-05 loss: 0.0693 (0.0777) loss_seg: 0.0750 (0.0836) loss_lansim: 0.1013 (0.1022) loss_contra: 0.0002 (0.0064) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [16] [3950/5278] eta: 0:55:54 lr: 3.068460674990012e-05 loss: 0.0685 (0.0777) loss_seg: 0.0745 (0.0835) loss_lansim: 0.1018 (0.1022) loss_contra: 0.0001 (0.0064) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [16] [3960/5278] eta: 0:55:29 lr: 3.068235642122009e-05 loss: 0.0668 (0.0776) loss_seg: 0.0707 (0.0835) loss_lansim: 0.1019 (0.1023) loss_contra: 0.0001 (0.0064) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [16] [3970/5278] eta: 0:55:04 lr: 3.068010607420154e-05 loss: 0.0668 (0.0776) loss_seg: 0.0707 (0.0835) loss_lansim: 0.1019 (0.1023) loss_contra: 0.0001 (0.0064) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [16] [3980/5278] eta: 0:54:39 lr: 3.0677855708842825e-05 loss: 0.0643 (0.0776) loss_seg: 0.0699 (0.0835) loss_lansim: 0.1009 (0.1023) loss_contra: 0.0001 (0.0064) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [16] [3990/5278] eta: 0:54:13 lr: 3.0675605325142306e-05 loss: 0.0618 (0.0776) loss_seg: 0.0684 (0.0835) loss_lansim: 0.0998 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [16] [4000/5278] eta: 0:53:48 lr: 3.067335492309833e-05 loss: 0.0694 (0.0776) loss_seg: 0.0761 (0.0835) loss_lansim: 0.1005 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [16] [4010/5278] eta: 0:53:23 lr: 3.0671104502709266e-05 loss: 0.0634 (0.0776) loss_seg: 0.0699 (0.0835) loss_lansim: 0.1009 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [16] [4020/5278] eta: 0:52:57 lr: 3.0668854063973466e-05 loss: 0.0618 (0.0776) loss_seg: 0.0684 (0.0835) loss_lansim: 0.1018 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [16] [4030/5278] eta: 0:52:32 lr: 3.0666603606889264e-05 loss: 0.0618 (0.0777) loss_seg: 0.0684 (0.0836) loss_lansim: 0.1037 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5191 data: 0.0025 max mem: 31671 Epoch: [16] [4040/5278] eta: 0:52:07 lr: 3.066435313145504e-05 loss: 0.0618 (0.0777) loss_seg: 0.0684 (0.0835) loss_lansim: 0.1039 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5164 data: 0.0025 max mem: 31671 Epoch: [16] [4050/5278] eta: 0:51:41 lr: 3.0662102637669135e-05 loss: 0.0643 (0.0777) loss_seg: 0.0701 (0.0836) loss_lansim: 0.1044 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5144 data: 0.0025 max mem: 31671 Epoch: [16] [4060/5278] eta: 0:51:16 lr: 3.0659852125529906e-05 loss: 0.0699 (0.0777) loss_seg: 0.0753 (0.0836) loss_lansim: 0.1058 (0.1024) loss_contra: 0.0001 (0.0063) time: 2.5153 data: 0.0025 max mem: 31671 Epoch: [16] [4070/5278] eta: 0:50:51 lr: 3.065760159503572e-05 loss: 0.0656 (0.0777) loss_seg: 0.0701 (0.0836) loss_lansim: 0.1051 (0.1024) loss_contra: 0.0001 (0.0063) time: 2.5128 data: 0.0025 max mem: 31671 Epoch: [16] [4080/5278] eta: 0:50:25 lr: 3.06553510461849e-05 loss: 0.0638 (0.0777) loss_seg: 0.0701 (0.0836) loss_lansim: 0.1051 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5058 data: 0.0025 max mem: 31671 Epoch: [16] [4090/5278] eta: 0:50:00 lr: 3.065310047897582e-05 loss: 0.0683 (0.0777) loss_seg: 0.0750 (0.0836) loss_lansim: 0.1049 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5049 data: 0.0025 max mem: 31671 Epoch: [16] [4100/5278] eta: 0:49:35 lr: 3.065084989340683e-05 loss: 0.0626 (0.0776) loss_seg: 0.0690 (0.0835) loss_lansim: 0.1057 (0.1023) loss_contra: 0.0001 (0.0063) time: 2.5072 data: 0.0025 max mem: 31671 Epoch: [16] [4110/5278] eta: 0:49:10 lr: 3.064859928947627e-05 loss: 0.0633 (0.0776) loss_seg: 0.0698 (0.0835) loss_lansim: 0.1057 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [16] [4120/5278] eta: 0:48:45 lr: 3.064634866718252e-05 loss: 0.0656 (0.0776) loss_seg: 0.0701 (0.0835) loss_lansim: 0.1047 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [16] [4130/5278] eta: 0:48:20 lr: 3.0644098026523896e-05 loss: 0.0638 (0.0776) loss_seg: 0.0698 (0.0835) loss_lansim: 0.1049 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [16] [4140/5278] eta: 0:47:54 lr: 3.064184736749878e-05 loss: 0.0637 (0.0776) loss_seg: 0.0690 (0.0835) loss_lansim: 0.1046 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [16] [4150/5278] eta: 0:47:29 lr: 3.063959669010551e-05 loss: 0.0637 (0.0777) loss_seg: 0.0698 (0.0836) loss_lansim: 0.1025 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [16] [4160/5278] eta: 0:47:04 lr: 3.063734599434243e-05 loss: 0.0622 (0.0777) loss_seg: 0.0673 (0.0836) loss_lansim: 0.1014 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [16] [4170/5278] eta: 0:46:39 lr: 3.06350952802079e-05 loss: 0.0622 (0.0777) loss_seg: 0.0673 (0.0836) loss_lansim: 0.1010 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [16] [4180/5278] eta: 0:46:13 lr: 3.063284454770027e-05 loss: 0.0617 (0.0776) loss_seg: 0.0668 (0.0835) loss_lansim: 0.1012 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5511 data: 0.0024 max mem: 31671 Epoch: [16] [4190/5278] eta: 0:45:48 lr: 3.0630593796817885e-05 loss: 0.0617 (0.0776) loss_seg: 0.0661 (0.0835) loss_lansim: 0.1025 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5547 data: 0.0024 max mem: 31671 Epoch: [16] [4200/5278] eta: 0:45:23 lr: 3.06283430275591e-05 loss: 0.0598 (0.0776) loss_seg: 0.0646 (0.0834) loss_lansim: 0.1028 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5508 data: 0.0024 max mem: 31671 Epoch: [16] [4210/5278] eta: 0:44:58 lr: 3.0626092239922265e-05 loss: 0.0600 (0.0775) loss_seg: 0.0653 (0.0834) loss_lansim: 0.1028 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5478 data: 0.0024 max mem: 31671 Epoch: [16] [4220/5278] eta: 0:44:33 lr: 3.062384143390573e-05 loss: 0.0590 (0.0776) loss_seg: 0.0641 (0.0834) loss_lansim: 0.1034 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5467 data: 0.0024 max mem: 31671 Epoch: [16] [4230/5278] eta: 0:44:07 lr: 3.062159060950784e-05 loss: 0.0586 (0.0775) loss_seg: 0.0617 (0.0834) loss_lansim: 0.1031 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5361 data: 0.0024 max mem: 31671 Epoch: [16] [4240/5278] eta: 0:43:42 lr: 3.061933976672693e-05 loss: 0.0582 (0.0775) loss_seg: 0.0615 (0.0834) loss_lansim: 0.1031 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5327 data: 0.0024 max mem: 31671 Epoch: [16] [4250/5278] eta: 0:43:16 lr: 3.061708890556138e-05 loss: 0.0586 (0.0775) loss_seg: 0.0615 (0.0834) loss_lansim: 0.1031 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [16] [4260/5278] eta: 0:42:51 lr: 3.061483802600951e-05 loss: 0.0586 (0.0775) loss_seg: 0.0617 (0.0834) loss_lansim: 0.1017 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5215 data: 0.0024 max mem: 31671 Epoch: [16] [4270/5278] eta: 0:42:26 lr: 3.0612587128069684e-05 loss: 0.0598 (0.0776) loss_seg: 0.0622 (0.0834) loss_lansim: 0.1024 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5178 data: 0.0024 max mem: 31671 Epoch: [16] [4280/5278] eta: 0:42:01 lr: 3.0610336211740245e-05 loss: 0.0606 (0.0775) loss_seg: 0.0635 (0.0834) loss_lansim: 0.1020 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [16] [4290/5278] eta: 0:41:35 lr: 3.060808527701954e-05 loss: 0.0603 (0.0775) loss_seg: 0.0622 (0.0834) loss_lansim: 0.1017 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [16] [4300/5278] eta: 0:41:10 lr: 3.0605834323905904e-05 loss: 0.0610 (0.0775) loss_seg: 0.0646 (0.0833) loss_lansim: 0.0999 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [16] [4310/5278] eta: 0:40:45 lr: 3.060358335239771e-05 loss: 0.0616 (0.0774) loss_seg: 0.0638 (0.0833) loss_lansim: 0.0999 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5140 data: 0.0025 max mem: 31671 Epoch: [16] [4320/5278] eta: 0:40:20 lr: 3.060133236249328e-05 loss: 0.0616 (0.0774) loss_seg: 0.0638 (0.0833) loss_lansim: 0.1000 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [16] [4330/5278] eta: 0:39:54 lr: 3.059908135419097e-05 loss: 0.0630 (0.0774) loss_seg: 0.0646 (0.0833) loss_lansim: 0.1020 (0.1023) loss_contra: 0.0001 (0.0062) time: 2.5184 data: 0.0025 max mem: 31671 Epoch: [16] [4340/5278] eta: 0:39:29 lr: 3.059683032748913e-05 loss: 0.0631 (0.0774) loss_seg: 0.0661 (0.0833) loss_lansim: 0.1026 (0.1024) loss_contra: 0.0001 (0.0061) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [16] [4350/5278] eta: 0:39:04 lr: 3.0594579282386096e-05 loss: 0.0630 (0.0774) loss_seg: 0.0661 (0.0833) loss_lansim: 0.1033 (0.1024) loss_contra: 0.0001 (0.0061) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [16] [4360/5278] eta: 0:38:39 lr: 3.0592328218880224e-05 loss: 0.0630 (0.0774) loss_seg: 0.0661 (0.0832) loss_lansim: 0.1033 (0.1024) loss_contra: 0.0001 (0.0061) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [16] [4370/5278] eta: 0:38:13 lr: 3.059007713696984e-05 loss: 0.0611 (0.0774) loss_seg: 0.0646 (0.0832) loss_lansim: 0.1036 (0.1024) loss_contra: 0.0001 (0.0061) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [16] [4380/5278] eta: 0:37:48 lr: 3.058782603665331e-05 loss: 0.0611 (0.0774) loss_seg: 0.0646 (0.0832) loss_lansim: 0.1036 (0.1024) loss_contra: 0.0001 (0.0061) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [16] [4390/5278] eta: 0:37:23 lr: 3.058557491792897e-05 loss: 0.0630 (0.0774) loss_seg: 0.0654 (0.0832) loss_lansim: 0.1029 (0.1024) loss_contra: 0.0001 (0.0061) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [16] [4400/5278] eta: 0:36:58 lr: 3.0583323780795166e-05 loss: 0.0602 (0.0773) loss_seg: 0.0632 (0.0832) loss_lansim: 0.1033 (0.1024) loss_contra: 0.0000 (0.0061) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [16] [4410/5278] eta: 0:36:32 lr: 3.058107262525024e-05 loss: 0.0602 (0.0773) loss_seg: 0.0632 (0.0831) loss_lansim: 0.1029 (0.1024) loss_contra: 0.0000 (0.0061) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [16] [4420/5278] eta: 0:36:07 lr: 3.057882145129253e-05 loss: 0.0588 (0.0772) loss_seg: 0.0620 (0.0831) loss_lansim: 0.1026 (0.1024) loss_contra: 0.0000 (0.0061) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [16] [4430/5278] eta: 0:35:42 lr: 3.057657025892039e-05 loss: 0.0581 (0.0773) loss_seg: 0.0619 (0.0831) loss_lansim: 0.1022 (0.1024) loss_contra: 0.0000 (0.0060) time: 2.5262 data: 0.0024 max mem: 31671 Epoch: [16] [4440/5278] eta: 0:35:16 lr: 3.057431904813215e-05 loss: 0.0594 (0.0773) loss_seg: 0.0632 (0.0832) loss_lansim: 0.1005 (0.1024) loss_contra: 0.0000 (0.0060) time: 2.5095 data: 0.0024 max mem: 31671 Epoch: [16] [4450/5278] eta: 0:34:51 lr: 3.057206781892616e-05 loss: 0.0588 (0.0773) loss_seg: 0.0642 (0.0832) loss_lansim: 0.1003 (0.1024) loss_contra: 0.0000 (0.0060) time: 2.5137 data: 0.0024 max mem: 31671 Epoch: [16] [4460/5278] eta: 0:34:26 lr: 3.056981657130077e-05 loss: 0.0610 (0.0773) loss_seg: 0.0654 (0.0832) loss_lansim: 0.1005 (0.1024) loss_contra: 0.0000 (0.0060) time: 2.5091 data: 0.0024 max mem: 31671 Epoch: [16] [4470/5278] eta: 0:34:01 lr: 3.05675653052543e-05 loss: 0.0615 (0.0775) loss_seg: 0.0673 (0.0833) loss_lansim: 0.1008 (0.1024) loss_contra: 0.0000 (0.0060) time: 2.5157 data: 0.0024 max mem: 31671 Epoch: [16] [4480/5278] eta: 0:33:35 lr: 3.056531402078512e-05 loss: 0.0615 (0.0775) loss_seg: 0.0673 (0.0833) loss_lansim: 0.1013 (0.1024) loss_contra: 0.0000 (0.0060) time: 2.5032 data: 0.0024 max mem: 31671 Epoch: [16] [4490/5278] eta: 0:33:10 lr: 3.056306271789156e-05 loss: 0.0632 (0.0775) loss_seg: 0.0699 (0.0833) loss_lansim: 0.1013 (0.1024) loss_contra: 0.0000 (0.0060) time: 2.5058 data: 0.0024 max mem: 31671 Epoch: [16] [4500/5278] eta: 0:32:44 lr: 3.056081139657195e-05 loss: 0.0682 (0.0774) loss_seg: 0.0713 (0.0833) loss_lansim: 0.1011 (0.1024) loss_contra: 0.0001 (0.0060) time: 2.4967 data: 0.0024 max mem: 31671 Epoch: [16] [4510/5278] eta: 0:32:19 lr: 3.055856005682464e-05 loss: 0.0632 (0.0774) loss_seg: 0.0699 (0.0833) loss_lansim: 0.1011 (0.1024) loss_contra: 0.0001 (0.0060) time: 2.5149 data: 0.0024 max mem: 31671 Epoch: [16] [4520/5278] eta: 0:31:54 lr: 3.055630869864798e-05 loss: 0.0685 (0.0774) loss_seg: 0.0713 (0.0832) loss_lansim: 0.1008 (0.1024) loss_contra: 0.0001 (0.0060) time: 2.5072 data: 0.0024 max mem: 31671 Epoch: [16] [4530/5278] eta: 0:31:29 lr: 3.055405732204029e-05 loss: 0.0647 (0.0773) loss_seg: 0.0692 (0.0832) loss_lansim: 0.1007 (0.1024) loss_contra: 0.0001 (0.0060) time: 2.5012 data: 0.0024 max mem: 31671 Epoch: [16] [4540/5278] eta: 0:31:04 lr: 3.055180592699993e-05 loss: 0.0626 (0.0773) loss_seg: 0.0676 (0.0832) loss_lansim: 0.1015 (0.1024) loss_contra: 0.0001 (0.0060) time: 2.5182 data: 0.0024 max mem: 31671 Epoch: [16] [4550/5278] eta: 0:30:38 lr: 3.054955451352523e-05 loss: 0.0617 (0.0773) loss_seg: 0.0633 (0.0831) loss_lansim: 0.1013 (0.1024) loss_contra: 0.0001 (0.0060) time: 2.5195 data: 0.0024 max mem: 31671 Epoch: [16] [4560/5278] eta: 0:30:13 lr: 3.054730308161452e-05 loss: 0.0617 (0.0773) loss_seg: 0.0635 (0.0831) loss_lansim: 0.1013 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5232 data: 0.0025 max mem: 31671 Epoch: [16] [4570/5278] eta: 0:29:48 lr: 3.0545051631266164e-05 loss: 0.0579 (0.0772) loss_seg: 0.0618 (0.0831) loss_lansim: 0.1007 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [16] [4580/5278] eta: 0:29:23 lr: 3.054280016247848e-05 loss: 0.0585 (0.0772) loss_seg: 0.0633 (0.0830) loss_lansim: 0.1009 (0.1024) loss_contra: 0.0002 (0.0059) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [16] [4590/5278] eta: 0:28:58 lr: 3.054054867524981e-05 loss: 0.0564 (0.0772) loss_seg: 0.0612 (0.0830) loss_lansim: 0.1009 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5444 data: 0.0024 max mem: 31671 Epoch: [16] [4600/5278] eta: 0:28:32 lr: 3.053829716957851e-05 loss: 0.0604 (0.0772) loss_seg: 0.0633 (0.0830) loss_lansim: 0.1025 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5472 data: 0.0024 max mem: 31671 Epoch: [16] [4610/5278] eta: 0:28:07 lr: 3.053604564546288e-05 loss: 0.0610 (0.0772) loss_seg: 0.0668 (0.0830) loss_lansim: 0.1025 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5484 data: 0.0024 max mem: 31671 Epoch: [16] [4620/5278] eta: 0:27:42 lr: 3.0533794102901295e-05 loss: 0.0614 (0.0772) loss_seg: 0.0673 (0.0830) loss_lansim: 0.1024 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5509 data: 0.0025 max mem: 31671 Epoch: [16] [4630/5278] eta: 0:27:17 lr: 3.0531542541892085e-05 loss: 0.0622 (0.0772) loss_seg: 0.0687 (0.0830) loss_lansim: 0.1025 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5582 data: 0.0025 max mem: 31671 Epoch: [16] [4640/5278] eta: 0:26:51 lr: 3.052929096243357e-05 loss: 0.0621 (0.0772) loss_seg: 0.0678 (0.0830) loss_lansim: 0.1012 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5483 data: 0.0025 max mem: 31671 Epoch: [16] [4650/5278] eta: 0:26:26 lr: 3.0527039364524106e-05 loss: 0.0614 (0.0771) loss_seg: 0.0673 (0.0829) loss_lansim: 0.1024 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [16] [4660/5278] eta: 0:26:01 lr: 3.052478774816202e-05 loss: 0.0614 (0.0772) loss_seg: 0.0668 (0.0830) loss_lansim: 0.1025 (0.1024) loss_contra: 0.0001 (0.0058) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [16] [4670/5278] eta: 0:25:35 lr: 3.052253611334565e-05 loss: 0.0642 (0.0772) loss_seg: 0.0687 (0.0830) loss_lansim: 0.1048 (0.1024) loss_contra: 0.0001 (0.0058) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [16] [4680/5278] eta: 0:25:10 lr: 3.0520284460073334e-05 loss: 0.0642 (0.0772) loss_seg: 0.0687 (0.0830) loss_lansim: 0.1028 (0.1024) loss_contra: 0.0001 (0.0058) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [16] [4690/5278] eta: 0:24:45 lr: 3.0518032788343406e-05 loss: 0.0677 (0.0772) loss_seg: 0.0740 (0.0830) loss_lansim: 0.1021 (0.1024) loss_contra: 0.0001 (0.0058) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [16] [4700/5278] eta: 0:24:20 lr: 3.05157810981542e-05 loss: 0.0642 (0.0772) loss_seg: 0.0687 (0.0830) loss_lansim: 0.1016 (0.1024) loss_contra: 0.0001 (0.0058) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [16] [4710/5278] eta: 0:23:54 lr: 3.0513529389504053e-05 loss: 0.0692 (0.0773) loss_seg: 0.0761 (0.0831) loss_lansim: 0.1030 (0.1025) loss_contra: 0.0001 (0.0058) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [16] [4720/5278] eta: 0:23:29 lr: 3.0511277662391302e-05 loss: 0.0712 (0.0773) loss_seg: 0.0782 (0.0831) loss_lansim: 0.1048 (0.1025) loss_contra: 0.0001 (0.0058) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [16] [4730/5278] eta: 0:23:04 lr: 3.0509025916814283e-05 loss: 0.0709 (0.0772) loss_seg: 0.0765 (0.0831) loss_lansim: 0.1040 (0.1024) loss_contra: 0.0001 (0.0058) time: 2.5291 data: 0.0025 max mem: 31671 Epoch: [16] [4740/5278] eta: 0:22:39 lr: 3.0506774152771316e-05 loss: 0.0696 (0.0772) loss_seg: 0.0765 (0.0831) loss_lansim: 0.1048 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [16] [4750/5278] eta: 0:22:14 lr: 3.0504522370260757e-05 loss: 0.0712 (0.0773) loss_seg: 0.0780 (0.0831) loss_lansim: 0.1040 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [16] [4760/5278] eta: 0:21:48 lr: 3.0502270569280922e-05 loss: 0.0696 (0.0773) loss_seg: 0.0770 (0.0831) loss_lansim: 0.1015 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5433 data: 0.0024 max mem: 31671 Epoch: [16] [4770/5278] eta: 0:21:23 lr: 3.0500018749830155e-05 loss: 0.0693 (0.0772) loss_seg: 0.0765 (0.0831) loss_lansim: 0.0999 (0.1024) loss_contra: 0.0001 (0.0059) time: 2.5401 data: 0.0024 max mem: 31671 Epoch: [16] [4780/5278] eta: 0:20:58 lr: 3.049776691190679e-05 loss: 0.0693 (0.0772) loss_seg: 0.0765 (0.0831) loss_lansim: 0.0999 (0.1024) loss_contra: 0.0002 (0.0059) time: 2.5432 data: 0.0024 max mem: 31671 Epoch: [16] [4790/5278] eta: 0:20:33 lr: 3.049551505550915e-05 loss: 0.0693 (0.0773) loss_seg: 0.0761 (0.0831) loss_lansim: 0.1001 (0.1024) loss_contra: 0.0002 (0.0059) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [16] [4800/5278] eta: 0:20:07 lr: 3.0493263180635573e-05 loss: 0.0696 (0.0773) loss_seg: 0.0768 (0.0831) loss_lansim: 0.0999 (0.1024) loss_contra: 0.0002 (0.0059) time: 2.5495 data: 0.0025 max mem: 31671 Epoch: [16] [4810/5278] eta: 0:19:42 lr: 3.0491011287284394e-05 loss: 0.0684 (0.0773) loss_seg: 0.0744 (0.0831) loss_lansim: 0.0994 (0.1024) loss_contra: 0.0002 (0.0059) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [16] [4820/5278] eta: 0:19:17 lr: 3.0488759375453933e-05 loss: 0.0675 (0.0772) loss_seg: 0.0733 (0.0831) loss_lansim: 0.0994 (0.1024) loss_contra: 0.0002 (0.0059) time: 2.5368 data: 0.0024 max mem: 31671 Epoch: [16] [4830/5278] eta: 0:18:51 lr: 3.048650744514255e-05 loss: 0.0675 (0.0773) loss_seg: 0.0733 (0.0832) loss_lansim: 0.0996 (0.1024) loss_contra: 0.0002 (0.0060) time: 2.5372 data: 0.0024 max mem: 31671 Epoch: [16] [4840/5278] eta: 0:18:26 lr: 3.0484255496348546e-05 loss: 0.0684 (0.0773) loss_seg: 0.0741 (0.0832) loss_lansim: 0.1000 (0.1024) loss_contra: 0.0002 (0.0060) time: 2.5349 data: 0.0024 max mem: 31671 Epoch: [16] [4850/5278] eta: 0:18:01 lr: 3.0482003529070262e-05 loss: 0.0696 (0.0773) loss_seg: 0.0747 (0.0832) loss_lansim: 0.1000 (0.1024) loss_contra: 0.0002 (0.0060) time: 2.5343 data: 0.0024 max mem: 31671 Epoch: [16] [4860/5278] eta: 0:17:36 lr: 3.0479751543306047e-05 loss: 0.0690 (0.0773) loss_seg: 0.0741 (0.0832) loss_lansim: 0.0995 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [16] [4870/5278] eta: 0:17:10 lr: 3.0477499539054195e-05 loss: 0.0678 (0.0773) loss_seg: 0.0733 (0.0832) loss_lansim: 0.0995 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [16] [4880/5278] eta: 0:16:45 lr: 3.047524751631307e-05 loss: 0.0690 (0.0773) loss_seg: 0.0733 (0.0832) loss_lansim: 0.1003 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5326 data: 0.0024 max mem: 31671 Epoch: [16] [4890/5278] eta: 0:16:20 lr: 3.0472995475080984e-05 loss: 0.0675 (0.0773) loss_seg: 0.0718 (0.0832) loss_lansim: 0.1015 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5213 data: 0.0024 max mem: 31671 Epoch: [16] [4900/5278] eta: 0:15:55 lr: 3.0470743415356274e-05 loss: 0.0653 (0.0773) loss_seg: 0.0708 (0.0832) loss_lansim: 0.1011 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5193 data: 0.0024 max mem: 31671 Epoch: [16] [4910/5278] eta: 0:15:29 lr: 3.0468491337137274e-05 loss: 0.0694 (0.0775) loss_seg: 0.0747 (0.0834) loss_lansim: 0.1011 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [16] [4920/5278] eta: 0:15:04 lr: 3.0466239240422296e-05 loss: 0.0694 (0.0775) loss_seg: 0.0747 (0.0834) loss_lansim: 0.1011 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5498 data: 0.0024 max mem: 31671 Epoch: [16] [4930/5278] eta: 0:14:39 lr: 3.0463987125209687e-05 loss: 0.0713 (0.0775) loss_seg: 0.0763 (0.0834) loss_lansim: 0.1011 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5442 data: 0.0024 max mem: 31671 Epoch: [16] [4940/5278] eta: 0:14:14 lr: 3.0461734991497764e-05 loss: 0.0713 (0.0775) loss_seg: 0.0767 (0.0834) loss_lansim: 0.1023 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5429 data: 0.0024 max mem: 31671 Epoch: [16] [4950/5278] eta: 0:13:48 lr: 3.045948283928486e-05 loss: 0.0640 (0.0774) loss_seg: 0.0702 (0.0833) loss_lansim: 0.1031 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5475 data: 0.0024 max mem: 31671 Epoch: [16] [4960/5278] eta: 0:13:23 lr: 3.0457230668569305e-05 loss: 0.0633 (0.0774) loss_seg: 0.0680 (0.0833) loss_lansim: 0.1039 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5533 data: 0.0024 max mem: 31671 Epoch: [16] [4970/5278] eta: 0:12:58 lr: 3.045497847934942e-05 loss: 0.0633 (0.0774) loss_seg: 0.0697 (0.0833) loss_lansim: 0.1041 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5481 data: 0.0024 max mem: 31671 Epoch: [16] [4980/5278] eta: 0:12:33 lr: 3.045272627162354e-05 loss: 0.0620 (0.0774) loss_seg: 0.0685 (0.0832) loss_lansim: 0.1033 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5553 data: 0.0024 max mem: 31671 Epoch: [16] [4990/5278] eta: 0:12:07 lr: 3.0450474045389993e-05 loss: 0.0633 (0.0774) loss_seg: 0.0697 (0.0832) loss_lansim: 0.1032 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5629 data: 0.0024 max mem: 31671 Epoch: [16] [5000/5278] eta: 0:11:42 lr: 3.0448221800647097e-05 loss: 0.0633 (0.0774) loss_seg: 0.0685 (0.0832) loss_lansim: 0.1032 (0.1024) loss_contra: 0.0002 (0.0061) time: 2.5676 data: 0.0024 max mem: 31671 Epoch: [16] [5010/5278] eta: 0:11:17 lr: 3.044596953739318e-05 loss: 0.0612 (0.0774) loss_seg: 0.0665 (0.0833) loss_lansim: 0.1035 (0.1025) loss_contra: 0.0002 (0.0061) time: 2.5570 data: 0.0024 max mem: 31671 Epoch: [16] [5020/5278] eta: 0:10:52 lr: 3.0443717255626586e-05 loss: 0.0617 (0.0774) loss_seg: 0.0676 (0.0833) loss_lansim: 0.1040 (0.1025) loss_contra: 0.0002 (0.0061) time: 2.5380 data: 0.0024 max mem: 31671 Epoch: [16] [5030/5278] eta: 0:10:26 lr: 3.044146495534561e-05 loss: 0.0617 (0.0774) loss_seg: 0.0676 (0.0832) loss_lansim: 0.1066 (0.1025) loss_contra: 0.0002 (0.0061) time: 2.5472 data: 0.0024 max mem: 31671 Epoch: [16] [5040/5278] eta: 0:10:01 lr: 3.043921263654861e-05 loss: 0.0604 (0.0773) loss_seg: 0.0652 (0.0832) loss_lansim: 0.1035 (0.1025) loss_contra: 0.0001 (0.0061) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [16] [5050/5278] eta: 0:09:36 lr: 3.0436960299233885e-05 loss: 0.0606 (0.0773) loss_seg: 0.0665 (0.0832) loss_lansim: 0.1021 (0.1025) loss_contra: 0.0001 (0.0061) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [16] [5060/5278] eta: 0:09:10 lr: 3.043470794339977e-05 loss: 0.0612 (0.0773) loss_seg: 0.0667 (0.0832) loss_lansim: 0.1035 (0.1025) loss_contra: 0.0001 (0.0061) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [16] [5070/5278] eta: 0:08:45 lr: 3.04324555690446e-05 loss: 0.0615 (0.0773) loss_seg: 0.0667 (0.0832) loss_lansim: 0.1062 (0.1025) loss_contra: 0.0001 (0.0061) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [16] [5080/5278] eta: 0:08:20 lr: 3.043020317616669e-05 loss: 0.0623 (0.0774) loss_seg: 0.0667 (0.0832) loss_lansim: 0.1066 (0.1025) loss_contra: 0.0001 (0.0061) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [16] [5090/5278] eta: 0:07:55 lr: 3.0427950764764358e-05 loss: 0.0623 (0.0774) loss_seg: 0.0667 (0.0832) loss_lansim: 0.1070 (0.1026) loss_contra: 0.0001 (0.0061) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [16] [5100/5278] eta: 0:07:29 lr: 3.042569833483594e-05 loss: 0.0623 (0.0774) loss_seg: 0.0678 (0.0832) loss_lansim: 0.1074 (0.1026) loss_contra: 0.0001 (0.0061) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [16] [5110/5278] eta: 0:07:04 lr: 3.042344588637975e-05 loss: 0.0623 (0.0774) loss_seg: 0.0680 (0.0832) loss_lansim: 0.1072 (0.1026) loss_contra: 0.0001 (0.0061) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [16] [5120/5278] eta: 0:06:39 lr: 3.0421193419394124e-05 loss: 0.0628 (0.0774) loss_seg: 0.0681 (0.0832) loss_lansim: 0.1074 (0.1026) loss_contra: 0.0001 (0.0061) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [16] [5130/5278] eta: 0:06:14 lr: 3.0418940933877366e-05 loss: 0.0640 (0.0774) loss_seg: 0.0686 (0.0832) loss_lansim: 0.1070 (0.1026) loss_contra: 0.0001 (0.0061) time: 2.5182 data: 0.0025 max mem: 31671 Epoch: [16] [5140/5278] eta: 0:05:48 lr: 3.0416688429827818e-05 loss: 0.0658 (0.0774) loss_seg: 0.0714 (0.0832) loss_lansim: 0.1072 (0.1026) loss_contra: 0.0001 (0.0060) time: 2.5222 data: 0.0024 max mem: 31671 Epoch: [16] [5150/5278] eta: 0:05:23 lr: 3.04144359072438e-05 loss: 0.0688 (0.0774) loss_seg: 0.0736 (0.0833) loss_lansim: 0.1074 (0.1026) loss_contra: 0.0001 (0.0061) time: 2.5348 data: 0.0024 max mem: 31671 Epoch: [16] [5160/5278] eta: 0:04:58 lr: 3.0412183366123615e-05 loss: 0.0747 (0.0774) loss_seg: 0.0774 (0.0833) loss_lansim: 0.1085 (0.1027) loss_contra: 0.0002 (0.0063) time: 2.5365 data: 0.0024 max mem: 31671 Epoch: [16] [5170/5278] eta: 0:04:33 lr: 3.040993080646561e-05 loss: 0.0747 (0.0774) loss_seg: 0.0774 (0.0833) loss_lansim: 0.1072 (0.1027) loss_contra: 0.0002 (0.0063) time: 2.5525 data: 0.0024 max mem: 31671 Epoch: [16] [5180/5278] eta: 0:04:07 lr: 3.0407678228268088e-05 loss: 0.0791 (0.0775) loss_seg: 0.0814 (0.0834) loss_lansim: 0.1072 (0.1027) loss_contra: 0.0001 (0.0063) time: 2.5791 data: 0.0024 max mem: 31671 Epoch: [16] [5190/5278] eta: 0:03:42 lr: 3.0405425631529382e-05 loss: 0.0784 (0.0775) loss_seg: 0.0814 (0.0834) loss_lansim: 0.1069 (0.1027) loss_contra: 0.0001 (0.0063) time: 2.6069 data: 0.0024 max mem: 31671 Epoch: [16] [5200/5278] eta: 0:03:17 lr: 3.040317301624781e-05 loss: 0.0788 (0.0775) loss_seg: 0.0823 (0.0834) loss_lansim: 0.1067 (0.1027) loss_contra: 0.0001 (0.0062) time: 2.6231 data: 0.0025 max mem: 31671 Epoch: [16] [5210/5278] eta: 0:02:51 lr: 3.0400920382421695e-05 loss: 0.0757 (0.0775) loss_seg: 0.0822 (0.0834) loss_lansim: 0.1069 (0.1027) loss_contra: 0.0001 (0.0062) time: 2.6317 data: 0.0025 max mem: 31671 Epoch: [16] [5220/5278] eta: 0:02:26 lr: 3.0398667730049346e-05 loss: 0.0743 (0.0775) loss_seg: 0.0774 (0.0834) loss_lansim: 0.1065 (0.1027) loss_contra: 0.0001 (0.0062) time: 2.6523 data: 0.0039 max mem: 31671 Epoch: [16] [5230/5278] eta: 0:02:01 lr: 3.03964150591291e-05 loss: 0.0714 (0.0775) loss_seg: 0.0715 (0.0834) loss_lansim: 0.1067 (0.1027) loss_contra: 0.0001 (0.0062) time: 2.6570 data: 0.0039 max mem: 31671 Epoch: [16] [5240/5278] eta: 0:01:36 lr: 3.0394162369659256e-05 loss: 0.0703 (0.0775) loss_seg: 0.0715 (0.0834) loss_lansim: 0.1069 (0.1027) loss_contra: 0.0001 (0.0062) time: 2.6589 data: 0.0039 max mem: 31671 Epoch: [16] [5250/5278] eta: 0:01:11 lr: 3.039190966163816e-05 loss: 0.0649 (0.0775) loss_seg: 0.0714 (0.0834) loss_lansim: 0.1069 (0.1027) loss_contra: 0.0001 (0.0062) time: 3.1683 data: 0.0040 max mem: 31671 Epoch: [16] [5260/5278] eta: 0:00:45 lr: 3.0389656935064114e-05 loss: 0.0646 (0.0775) loss_seg: 0.0710 (0.0834) loss_lansim: 0.1065 (0.1028) loss_contra: 0.0001 (0.0063) time: 3.1690 data: 0.0040 max mem: 31671 Epoch: [16] [5270/5278] eta: 0:00:20 lr: 3.0387404189935437e-05 loss: 0.0647 (0.0775) loss_seg: 0.0697 (0.0833) loss_lansim: 0.1073 (0.1028) loss_contra: 0.0001 (0.0063) time: 3.1449 data: 0.0039 max mem: 31671 Epoch: [16] Total time: 3:43:26 Test: [ 0/2573] eta: 2:12:27 time: 3.0887 data: 2.5673 max mem: 31671 Test: [ 100/2573] eta: 0:07:04 time: 0.1424 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:18 time: 0.1469 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:48 time: 0.1416 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:28 time: 0.1437 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:10 time: 0.1453 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:54 time: 0.1459 data: 0.0014 max mem: 31671 Test: [ 700/2573] eta: 0:04:39 time: 0.1490 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:24 time: 0.1475 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:08 time: 0.1472 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:53 time: 0.1452 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:38 time: 0.1442 data: 0.0014 max mem: 31671 Test: [1200/2573] eta: 0:03:23 time: 0.1462 data: 0.0014 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1450 data: 0.0014 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1410 data: 0.0014 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1456 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1454 data: 0.0014 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1456 data: 0.0014 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1444 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1429 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1427 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1475 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1413 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1466 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1444 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1459 data: 0.0015 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 63.85 precision@0.6 = 58.64 precision@0.7 = 50.74 precision@0.8 = 39.71 precision@0.9 = 18.50 overall IoU = 54.07 mean IoU = 56.46 Average object IoU 0.5646271522075809 Overall IoU 54.06810102117745 Epoch: [17] [ 0/5278] eta: 13:19:20 lr: 3.038560198047204e-05 loss: 0.0468 (0.0468) loss_seg: 0.0514 (0.0514) loss_lansim: 0.1050 (0.1050) loss_contra: 0.0000 (0.0000) time: 9.0869 data: 1.2108 max mem: 31671 Epoch: [17] [ 10/5278] eta: 4:36:28 lr: 3.03833492019408e-05 loss: 0.0561 (0.0685) loss_seg: 0.0619 (0.0749) loss_lansim: 0.1050 (0.1056) loss_contra: 0.0000 (0.0009) time: 3.1489 data: 0.1124 max mem: 31671 Epoch: [17] [ 20/5278] eta: 4:10:28 lr: 3.0381096404850217e-05 loss: 0.0561 (0.0790) loss_seg: 0.0594 (0.0856) loss_lansim: 0.1092 (0.1077) loss_contra: 0.0001 (0.0009) time: 2.8582 data: 0.0598 max mem: 31671 Epoch: [17] [ 30/5278] eta: 4:04:12 lr: 3.037884358919863e-05 loss: 0.0572 (0.0734) loss_seg: 0.0616 (0.0797) loss_lansim: 0.1092 (0.1089) loss_contra: 0.0002 (0.0014) time: 2.7920 data: 0.0412 max mem: 31671 Epoch: [17] [ 40/5278] eta: 3:59:37 lr: 3.0376590754984334e-05 loss: 0.0595 (0.0730) loss_seg: 0.0619 (0.0793) loss_lansim: 0.1070 (0.1084) loss_contra: 0.0001 (0.0013) time: 2.7449 data: 0.0318 max mem: 31671 Epoch: [17] [ 50/5278] eta: 3:55:47 lr: 3.0374337902205657e-05 loss: 0.0595 (0.0727) loss_seg: 0.0619 (0.0789) loss_lansim: 0.1100 (0.1092) loss_contra: 0.0001 (0.0022) time: 2.7061 data: 0.0260 max mem: 31671 Epoch: [17] [ 60/5278] eta: 3:53:31 lr: 3.037208503086092e-05 loss: 0.0595 (0.0730) loss_seg: 0.0619 (0.0793) loss_lansim: 0.1092 (0.1088) loss_contra: 0.0001 (0.0019) time: 2.6852 data: 0.0221 max mem: 31671 Epoch: [17] [ 70/5278] eta: 3:50:38 lr: 3.036983214094843e-05 loss: 0.0595 (0.0710) loss_seg: 0.0616 (0.0770) loss_lansim: 0.1092 (0.1099) loss_contra: 0.0001 (0.0028) time: 2.6571 data: 0.0193 max mem: 31671 Epoch: [17] [ 80/5278] eta: 3:48:37 lr: 3.0367579232466505e-05 loss: 0.0572 (0.0701) loss_seg: 0.0616 (0.0757) loss_lansim: 0.1092 (0.1096) loss_contra: 0.0001 (0.0025) time: 2.6390 data: 0.0172 max mem: 31671 Epoch: [17] [ 90/5278] eta: 3:46:41 lr: 3.036532630541347e-05 loss: 0.0572 (0.0730) loss_seg: 0.0616 (0.0788) loss_lansim: 0.1095 (0.1105) loss_contra: 0.0001 (0.0025) time: 2.6216 data: 0.0156 max mem: 31671 Epoch: [17] [ 100/5278] eta: 3:45:12 lr: 3.036307335978763e-05 loss: 0.0595 (0.0722) loss_seg: 0.0619 (0.0780) loss_lansim: 0.1100 (0.1108) loss_contra: 0.0001 (0.0031) time: 2.5449 data: 0.0023 max mem: 31671 Epoch: [17] [ 110/5278] eta: 3:43:27 lr: 3.0360820395587308e-05 loss: 0.0597 (0.0735) loss_seg: 0.0631 (0.0796) loss_lansim: 0.1103 (0.1108) loss_contra: 0.0001 (0.0029) time: 2.5332 data: 0.0023 max mem: 31671 Epoch: [17] [ 120/5278] eta: 3:42:26 lr: 3.0358567412810818e-05 loss: 0.0605 (0.0731) loss_seg: 0.0658 (0.0790) loss_lansim: 0.1100 (0.1103) loss_contra: 0.0001 (0.0032) time: 2.5308 data: 0.0023 max mem: 31671 Epoch: [17] [ 130/5278] eta: 3:41:20 lr: 3.035631441145647e-05 loss: 0.0597 (0.0716) loss_seg: 0.0647 (0.0774) loss_lansim: 0.1096 (0.1104) loss_contra: 0.0001 (0.0070) time: 2.5138 data: 0.0023 max mem: 31671 Epoch: [17] [ 140/5278] eta: 3:40:37 lr: 3.0354061391522594e-05 loss: 0.0587 (0.0711) loss_seg: 0.0627 (0.0768) loss_lansim: 0.1101 (0.1108) loss_contra: 0.0001 (0.0066) time: 2.5073 data: 0.0023 max mem: 31671 Epoch: [17] [ 150/5278] eta: 3:39:55 lr: 3.0351808353007484e-05 loss: 0.0587 (0.0736) loss_seg: 0.0647 (0.0797) loss_lansim: 0.1096 (0.1111) loss_contra: 0.0001 (0.0071) time: 2.5056 data: 0.0023 max mem: 31671 Epoch: [17] [ 160/5278] eta: 3:38:55 lr: 3.0349555295909464e-05 loss: 0.0606 (0.0742) loss_seg: 0.0667 (0.0801) loss_lansim: 0.1096 (0.1106) loss_contra: 0.0001 (0.0071) time: 2.4942 data: 0.0023 max mem: 31671 Epoch: [17] [ 170/5278] eta: 3:38:27 lr: 3.0347302220226847e-05 loss: 0.0621 (0.0740) loss_seg: 0.0681 (0.0799) loss_lansim: 0.1092 (0.1102) loss_contra: 0.0001 (0.0067) time: 2.5013 data: 0.0023 max mem: 31671 Epoch: [17] [ 180/5278] eta: 3:37:29 lr: 3.0345049125957952e-05 loss: 0.0659 (0.0744) loss_seg: 0.0686 (0.0802) loss_lansim: 0.1092 (0.1099) loss_contra: 0.0001 (0.0064) time: 2.4955 data: 0.0023 max mem: 31671 Epoch: [17] [ 190/5278] eta: 3:36:55 lr: 3.034279601310109e-05 loss: 0.0659 (0.0748) loss_seg: 0.0686 (0.0806) loss_lansim: 0.1092 (0.1101) loss_contra: 0.0001 (0.0061) time: 2.5004 data: 0.0023 max mem: 31671 Epoch: [17] [ 200/5278] eta: 3:36:32 lr: 3.034054288165456e-05 loss: 0.0670 (0.0746) loss_seg: 0.0687 (0.0804) loss_lansim: 0.1086 (0.1103) loss_contra: 0.0001 (0.0059) time: 2.5068 data: 0.0023 max mem: 31671 Epoch: [17] [ 210/5278] eta: 3:35:57 lr: 3.0338289731616692e-05 loss: 0.0644 (0.0755) loss_seg: 0.0677 (0.0812) loss_lansim: 0.1086 (0.1102) loss_contra: 0.0001 (0.0056) time: 2.5153 data: 0.0023 max mem: 31671 Epoch: [17] [ 220/5278] eta: 3:35:30 lr: 3.03360365629858e-05 loss: 0.0622 (0.0744) loss_seg: 0.0670 (0.0800) loss_lansim: 0.1087 (0.1103) loss_contra: 0.0001 (0.0054) time: 2.5187 data: 0.0024 max mem: 31671 Epoch: [17] [ 230/5278] eta: 3:35:24 lr: 3.033378337576017e-05 loss: 0.0623 (0.0737) loss_seg: 0.0677 (0.0793) loss_lansim: 0.1081 (0.1100) loss_contra: 0.0001 (0.0052) time: 2.5351 data: 0.0024 max mem: 31671 Epoch: [17] [ 240/5278] eta: 3:34:49 lr: 3.0331530169938148e-05 loss: 0.0623 (0.0734) loss_seg: 0.0677 (0.0789) loss_lansim: 0.1077 (0.1101) loss_contra: 0.0001 (0.0050) time: 2.5333 data: 0.0024 max mem: 31671 Epoch: [17] [ 250/5278] eta: 3:34:18 lr: 3.0329276945518026e-05 loss: 0.0644 (0.0738) loss_seg: 0.0685 (0.0793) loss_lansim: 0.1066 (0.1101) loss_contra: 0.0001 (0.0049) time: 2.5334 data: 0.0024 max mem: 31671 Epoch: [17] [ 260/5278] eta: 3:34:00 lr: 3.0327023702498114e-05 loss: 0.0630 (0.0738) loss_seg: 0.0677 (0.0794) loss_lansim: 0.1066 (0.1101) loss_contra: 0.0001 (0.0049) time: 2.5464 data: 0.0024 max mem: 31671 Epoch: [17] [ 270/5278] eta: 3:33:23 lr: 3.032477044087674e-05 loss: 0.0639 (0.0738) loss_seg: 0.0687 (0.0794) loss_lansim: 0.1072 (0.1101) loss_contra: 0.0002 (0.0047) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [17] [ 280/5278] eta: 3:32:45 lr: 3.0322517160652192e-05 loss: 0.0629 (0.0735) loss_seg: 0.0677 (0.0791) loss_lansim: 0.1069 (0.1099) loss_contra: 0.0002 (0.0047) time: 2.5437 data: 0.0024 max mem: 31671 Epoch: [17] [ 290/5278] eta: 3:32:14 lr: 3.0320263861822794e-05 loss: 0.0629 (0.0733) loss_seg: 0.0672 (0.0788) loss_lansim: 0.1069 (0.1100) loss_contra: 0.0002 (0.0046) time: 2.5430 data: 0.0024 max mem: 31671 Epoch: [17] [ 300/5278] eta: 3:31:37 lr: 3.031801054438686e-05 loss: 0.0629 (0.0744) loss_seg: 0.0672 (0.0801) loss_lansim: 0.1065 (0.1098) loss_contra: 0.0002 (0.0045) time: 2.5351 data: 0.0024 max mem: 31671 Epoch: [17] [ 310/5278] eta: 3:31:17 lr: 3.0315757208342683e-05 loss: 0.0621 (0.0743) loss_seg: 0.0672 (0.0801) loss_lansim: 0.1064 (0.1097) loss_contra: 0.0002 (0.0044) time: 2.5413 data: 0.0024 max mem: 31671 Epoch: [17] [ 320/5278] eta: 3:30:51 lr: 3.0313503853688592e-05 loss: 0.0636 (0.0738) loss_seg: 0.0695 (0.0795) loss_lansim: 0.1061 (0.1097) loss_contra: 0.0002 (0.0044) time: 2.5413 data: 0.0024 max mem: 31671 Epoch: [17] [ 330/5278] eta: 3:30:32 lr: 3.0311250480422877e-05 loss: 0.0636 (0.0733) loss_seg: 0.0695 (0.0790) loss_lansim: 0.1061 (0.1097) loss_contra: 0.0002 (0.0042) time: 2.5360 data: 0.0024 max mem: 31671 Epoch: [17] [ 340/5278] eta: 3:30:06 lr: 3.030899708854386e-05 loss: 0.0639 (0.0731) loss_seg: 0.0707 (0.0788) loss_lansim: 0.1051 (0.1096) loss_contra: 0.0002 (0.0042) time: 2.5399 data: 0.0024 max mem: 31671 Epoch: [17] [ 350/5278] eta: 3:29:35 lr: 3.0306743678049854e-05 loss: 0.0621 (0.0734) loss_seg: 0.0666 (0.0790) loss_lansim: 0.1058 (0.1096) loss_contra: 0.0002 (0.0041) time: 2.5376 data: 0.0024 max mem: 31671 Epoch: [17] [ 360/5278] eta: 3:29:04 lr: 3.0304490248939155e-05 loss: 0.0587 (0.0726) loss_seg: 0.0624 (0.0782) loss_lansim: 0.1044 (0.1092) loss_contra: 0.0001 (0.0040) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [17] [ 370/5278] eta: 3:28:42 lr: 3.0302236801210072e-05 loss: 0.0564 (0.0726) loss_seg: 0.0612 (0.0782) loss_lansim: 0.1042 (0.1091) loss_contra: 0.0001 (0.0039) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [17] [ 380/5278] eta: 3:28:17 lr: 3.0299983334860914e-05 loss: 0.0559 (0.0728) loss_seg: 0.0612 (0.0784) loss_lansim: 0.1044 (0.1092) loss_contra: 0.0001 (0.0038) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [17] [ 390/5278] eta: 3:27:48 lr: 3.0297729849889995e-05 loss: 0.0587 (0.0731) loss_seg: 0.0623 (0.0788) loss_lansim: 0.1044 (0.1094) loss_contra: 0.0001 (0.0038) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [17] [ 400/5278] eta: 3:27:18 lr: 3.0295476346295627e-05 loss: 0.0564 (0.0730) loss_seg: 0.0614 (0.0786) loss_lansim: 0.1061 (0.1094) loss_contra: 0.0001 (0.0037) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [17] [ 410/5278] eta: 3:26:43 lr: 3.0293222824076095e-05 loss: 0.0564 (0.0725) loss_seg: 0.0613 (0.0780) loss_lansim: 0.1070 (0.1095) loss_contra: 0.0001 (0.0037) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [17] [ 420/5278] eta: 3:26:05 lr: 3.0290969283229725e-05 loss: 0.0559 (0.0722) loss_seg: 0.0605 (0.0778) loss_lansim: 0.1081 (0.1095) loss_contra: 0.0001 (0.0036) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [17] [ 430/5278] eta: 3:25:37 lr: 3.0288715723754818e-05 loss: 0.0559 (0.0722) loss_seg: 0.0605 (0.0777) loss_lansim: 0.1079 (0.1094) loss_contra: 0.0001 (0.0036) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [17] [ 440/5278] eta: 3:25:10 lr: 3.0286462145649668e-05 loss: 0.0559 (0.0723) loss_seg: 0.0605 (0.0778) loss_lansim: 0.1082 (0.1095) loss_contra: 0.0001 (0.0035) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [17] [ 450/5278] eta: 3:24:40 lr: 3.0284208548912602e-05 loss: 0.0575 (0.0720) loss_seg: 0.0613 (0.0774) loss_lansim: 0.1084 (0.1096) loss_contra: 0.0001 (0.0037) time: 2.5147 data: 0.0024 max mem: 31671 Epoch: [17] [ 460/5278] eta: 3:24:14 lr: 3.0281954933541913e-05 loss: 0.0605 (0.0718) loss_seg: 0.0628 (0.0772) loss_lansim: 0.1099 (0.1096) loss_contra: 0.0001 (0.0036) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [17] [ 470/5278] eta: 3:23:46 lr: 3.0279701299535902e-05 loss: 0.0591 (0.0718) loss_seg: 0.0623 (0.0772) loss_lansim: 0.1103 (0.1096) loss_contra: 0.0001 (0.0035) time: 2.5113 data: 0.0024 max mem: 31671 Epoch: [17] [ 480/5278] eta: 3:23:15 lr: 3.0277447646892893e-05 loss: 0.0591 (0.0715) loss_seg: 0.0602 (0.0768) loss_lansim: 0.1105 (0.1098) loss_contra: 0.0001 (0.0034) time: 2.5048 data: 0.0024 max mem: 31671 Epoch: [17] [ 490/5278] eta: 3:22:45 lr: 3.0275193975611165e-05 loss: 0.0542 (0.0713) loss_seg: 0.0579 (0.0765) loss_lansim: 0.1105 (0.1098) loss_contra: 0.0000 (0.0034) time: 2.5015 data: 0.0024 max mem: 31671 Epoch: [17] [ 500/5278] eta: 3:22:15 lr: 3.0272940285689033e-05 loss: 0.0569 (0.0717) loss_seg: 0.0598 (0.0770) loss_lansim: 0.1105 (0.1098) loss_contra: 0.0000 (0.0034) time: 2.5003 data: 0.0024 max mem: 31671 Epoch: [17] [ 510/5278] eta: 3:21:52 lr: 3.0270686577124814e-05 loss: 0.0569 (0.0715) loss_seg: 0.0598 (0.0768) loss_lansim: 0.1105 (0.1098) loss_contra: 0.0000 (0.0035) time: 2.5091 data: 0.0024 max mem: 31671 Epoch: [17] [ 520/5278] eta: 3:21:26 lr: 3.0268432849916783e-05 loss: 0.0569 (0.0712) loss_seg: 0.0596 (0.0765) loss_lansim: 0.1105 (0.1097) loss_contra: 0.0001 (0.0035) time: 2.5184 data: 0.0024 max mem: 31671 Epoch: [17] [ 530/5278] eta: 3:20:57 lr: 3.0266179104063274e-05 loss: 0.0569 (0.0715) loss_seg: 0.0596 (0.0767) loss_lansim: 0.1110 (0.1097) loss_contra: 0.0001 (0.0036) time: 2.5167 data: 0.0024 max mem: 31671 Epoch: [17] [ 540/5278] eta: 3:20:34 lr: 3.026392533956257e-05 loss: 0.0537 (0.0713) loss_seg: 0.0579 (0.0765) loss_lansim: 0.1106 (0.1096) loss_contra: 0.0001 (0.0036) time: 2.5194 data: 0.0024 max mem: 31671 Epoch: [17] [ 550/5278] eta: 3:20:06 lr: 3.0261671556412985e-05 loss: 0.0542 (0.0712) loss_seg: 0.0590 (0.0765) loss_lansim: 0.1105 (0.1095) loss_contra: 0.0000 (0.0035) time: 2.5206 data: 0.0024 max mem: 31671 Epoch: [17] [ 560/5278] eta: 3:19:41 lr: 3.0259417754612817e-05 loss: 0.0542 (0.0712) loss_seg: 0.0590 (0.0765) loss_lansim: 0.1094 (0.1093) loss_contra: 0.0001 (0.0035) time: 2.5215 data: 0.0024 max mem: 31671 Epoch: [17] [ 570/5278] eta: 3:19:18 lr: 3.025716393416036e-05 loss: 0.0565 (0.0711) loss_seg: 0.0601 (0.0763) loss_lansim: 0.1103 (0.1093) loss_contra: 0.0001 (0.0040) time: 2.5262 data: 0.0024 max mem: 31671 Epoch: [17] [ 580/5278] eta: 3:18:54 lr: 3.025491009505393e-05 loss: 0.0565 (0.0709) loss_seg: 0.0609 (0.0761) loss_lansim: 0.1104 (0.1094) loss_contra: 0.0001 (0.0040) time: 2.5333 data: 0.0024 max mem: 31671 Epoch: [17] [ 590/5278] eta: 3:18:30 lr: 3.025265623729182e-05 loss: 0.0582 (0.0710) loss_seg: 0.0630 (0.0763) loss_lansim: 0.1099 (0.1094) loss_contra: 0.0001 (0.0044) time: 2.5398 data: 0.0024 max mem: 31671 Epoch: [17] [ 600/5278] eta: 3:18:06 lr: 3.0250402360872326e-05 loss: 0.0549 (0.0709) loss_seg: 0.0591 (0.0761) loss_lansim: 0.1089 (0.1095) loss_contra: 0.0001 (0.0044) time: 2.5458 data: 0.0024 max mem: 31671 Epoch: [17] [ 610/5278] eta: 3:17:37 lr: 3.024814846579377e-05 loss: 0.0551 (0.0710) loss_seg: 0.0601 (0.0762) loss_lansim: 0.1081 (0.1093) loss_contra: 0.0001 (0.0044) time: 2.5396 data: 0.0024 max mem: 31671 Epoch: [17] [ 620/5278] eta: 3:17:11 lr: 3.0245894552054426e-05 loss: 0.0549 (0.0708) loss_seg: 0.0588 (0.0760) loss_lansim: 0.1081 (0.1093) loss_contra: 0.0001 (0.0047) time: 2.5385 data: 0.0024 max mem: 31671 Epoch: [17] [ 630/5278] eta: 3:16:49 lr: 3.0243640619652613e-05 loss: 0.0536 (0.0705) loss_seg: 0.0573 (0.0757) loss_lansim: 0.1071 (0.1093) loss_contra: 0.0001 (0.0047) time: 2.5473 data: 0.0023 max mem: 31671 Epoch: [17] [ 640/5278] eta: 3:16:20 lr: 3.0241386668586626e-05 loss: 0.0546 (0.0711) loss_seg: 0.0588 (0.0763) loss_lansim: 0.1079 (0.1093) loss_contra: 0.0001 (0.0048) time: 2.5405 data: 0.0023 max mem: 31671 Epoch: [17] [ 650/5278] eta: 3:15:53 lr: 3.0239132698854756e-05 loss: 0.0540 (0.0711) loss_seg: 0.0584 (0.0764) loss_lansim: 0.1082 (0.1093) loss_contra: 0.0001 (0.0049) time: 2.5409 data: 0.0023 max mem: 31671 Epoch: [17] [ 660/5278] eta: 3:15:32 lr: 3.0236878710455324e-05 loss: 0.0540 (0.0714) loss_seg: 0.0582 (0.0768) loss_lansim: 0.1089 (0.1094) loss_contra: 0.0001 (0.0048) time: 2.5461 data: 0.0023 max mem: 31671 Epoch: [17] [ 670/5278] eta: 3:15:06 lr: 3.0234624703386604e-05 loss: 0.0556 (0.0715) loss_seg: 0.0603 (0.0768) loss_lansim: 0.1087 (0.1094) loss_contra: 0.0001 (0.0048) time: 2.5425 data: 0.0023 max mem: 31671 Epoch: [17] [ 680/5278] eta: 3:14:43 lr: 3.023237067764691e-05 loss: 0.0567 (0.0722) loss_seg: 0.0617 (0.0776) loss_lansim: 0.1079 (0.1094) loss_contra: 0.0001 (0.0047) time: 2.5448 data: 0.0024 max mem: 31671 Epoch: [17] [ 690/5278] eta: 3:14:17 lr: 3.0230116633234544e-05 loss: 0.0540 (0.0720) loss_seg: 0.0585 (0.0774) loss_lansim: 0.1068 (0.1093) loss_contra: 0.0001 (0.0047) time: 2.5420 data: 0.0024 max mem: 31671 Epoch: [17] [ 700/5278] eta: 3:13:54 lr: 3.0227862570147792e-05 loss: 0.0561 (0.0718) loss_seg: 0.0585 (0.0772) loss_lansim: 0.1068 (0.1092) loss_contra: 0.0001 (0.0046) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [17] [ 710/5278] eta: 3:13:27 lr: 3.0225608488384953e-05 loss: 0.0556 (0.0718) loss_seg: 0.0585 (0.0771) loss_lansim: 0.1061 (0.1091) loss_contra: 0.0001 (0.0046) time: 2.5464 data: 0.0024 max mem: 31671 Epoch: [17] [ 720/5278] eta: 3:13:01 lr: 3.0223354387944343e-05 loss: 0.0567 (0.0719) loss_seg: 0.0613 (0.0772) loss_lansim: 0.1056 (0.1090) loss_contra: 0.0001 (0.0045) time: 2.5463 data: 0.0024 max mem: 31671 Epoch: [17] [ 730/5278] eta: 3:12:32 lr: 3.0221100268824227e-05 loss: 0.0580 (0.0717) loss_seg: 0.0624 (0.0770) loss_lansim: 0.1057 (0.1089) loss_contra: 0.0001 (0.0046) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [17] [ 740/5278] eta: 3:12:07 lr: 3.021884613102293e-05 loss: 0.0580 (0.0716) loss_seg: 0.0624 (0.0769) loss_lansim: 0.1036 (0.1087) loss_contra: 0.0001 (0.0045) time: 2.5412 data: 0.0024 max mem: 31671 Epoch: [17] [ 750/5278] eta: 3:11:39 lr: 3.0216591974538745e-05 loss: 0.0594 (0.0718) loss_seg: 0.0640 (0.0771) loss_lansim: 0.1033 (0.1087) loss_contra: 0.0001 (0.0045) time: 2.5392 data: 0.0024 max mem: 31671 Epoch: [17] [ 760/5278] eta: 3:11:18 lr: 3.021433779936995e-05 loss: 0.0601 (0.0716) loss_seg: 0.0657 (0.0769) loss_lansim: 0.1018 (0.1086) loss_contra: 0.0001 (0.0045) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [17] [ 770/5278] eta: 3:10:56 lr: 3.0212083605514867e-05 loss: 0.0592 (0.0714) loss_seg: 0.0640 (0.0767) loss_lansim: 0.1018 (0.1086) loss_contra: 0.0001 (0.0045) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [17] [ 780/5278] eta: 3:10:32 lr: 3.0209829392971774e-05 loss: 0.0586 (0.0720) loss_seg: 0.0603 (0.0773) loss_lansim: 0.1031 (0.1086) loss_contra: 0.0001 (0.0044) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [17] [ 790/5278] eta: 3:10:06 lr: 3.020757516173897e-05 loss: 0.0601 (0.0720) loss_seg: 0.0657 (0.0774) loss_lansim: 0.1031 (0.1086) loss_contra: 0.0001 (0.0044) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [17] [ 800/5278] eta: 3:09:38 lr: 3.020532091181476e-05 loss: 0.0631 (0.0721) loss_seg: 0.0694 (0.0775) loss_lansim: 0.1048 (0.1086) loss_contra: 0.0001 (0.0043) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [17] [ 810/5278] eta: 3:09:09 lr: 3.020306664319742e-05 loss: 0.0641 (0.0722) loss_seg: 0.0700 (0.0776) loss_lansim: 0.1065 (0.1087) loss_contra: 0.0001 (0.0043) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [17] [ 820/5278] eta: 3:08:39 lr: 3.0200812355885267e-05 loss: 0.0631 (0.0720) loss_seg: 0.0694 (0.0774) loss_lansim: 0.1061 (0.1086) loss_contra: 0.0001 (0.0042) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [17] [ 830/5278] eta: 3:08:15 lr: 3.0198558049876574e-05 loss: 0.0631 (0.0719) loss_seg: 0.0694 (0.0773) loss_lansim: 0.1061 (0.1086) loss_contra: 0.0001 (0.0044) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [17] [ 840/5278] eta: 3:07:47 lr: 3.019630372516965e-05 loss: 0.0631 (0.0719) loss_seg: 0.0696 (0.0772) loss_lansim: 0.1065 (0.1087) loss_contra: 0.0001 (0.0044) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [17] [ 850/5278] eta: 3:07:16 lr: 3.019404938176279e-05 loss: 0.0592 (0.0721) loss_seg: 0.0638 (0.0774) loss_lansim: 0.1088 (0.1087) loss_contra: 0.0001 (0.0045) time: 2.5222 data: 0.0024 max mem: 31671 Epoch: [17] [ 860/5278] eta: 3:06:51 lr: 3.0191795019654272e-05 loss: 0.0583 (0.0724) loss_seg: 0.0623 (0.0777) loss_lansim: 0.1088 (0.1087) loss_contra: 0.0001 (0.0044) time: 2.5151 data: 0.0024 max mem: 31671 Epoch: [17] [ 870/5278] eta: 3:06:31 lr: 3.0189540638842405e-05 loss: 0.0626 (0.0724) loss_seg: 0.0631 (0.0777) loss_lansim: 0.1083 (0.1087) loss_contra: 0.0001 (0.0044) time: 2.5205 data: 0.0024 max mem: 31671 Epoch: [17] [ 880/5278] eta: 3:06:03 lr: 3.0187286239325473e-05 loss: 0.0631 (0.0727) loss_seg: 0.0634 (0.0781) loss_lansim: 0.1090 (0.1089) loss_contra: 0.0001 (0.0044) time: 2.5124 data: 0.0024 max mem: 31671 Epoch: [17] [ 890/5278] eta: 3:05:40 lr: 3.0185031821101774e-05 loss: 0.0629 (0.0727) loss_seg: 0.0637 (0.0780) loss_lansim: 0.1088 (0.1090) loss_contra: 0.0001 (0.0043) time: 2.5163 data: 0.0023 max mem: 31671 Epoch: [17] [ 900/5278] eta: 3:05:12 lr: 3.0182777384169597e-05 loss: 0.0626 (0.0726) loss_seg: 0.0633 (0.0779) loss_lansim: 0.1084 (0.1090) loss_contra: 0.0001 (0.0046) time: 2.5170 data: 0.0023 max mem: 31671 Epoch: [17] [ 910/5278] eta: 3:04:45 lr: 3.0180522928527238e-05 loss: 0.0626 (0.0726) loss_seg: 0.0634 (0.0780) loss_lansim: 0.1090 (0.1091) loss_contra: 0.0001 (0.0046) time: 2.5193 data: 0.0023 max mem: 31671 Epoch: [17] [ 920/5278] eta: 3:04:18 lr: 3.0178268454172982e-05 loss: 0.0633 (0.0725) loss_seg: 0.0634 (0.0779) loss_lansim: 0.1099 (0.1091) loss_contra: 0.0001 (0.0046) time: 2.5236 data: 0.0023 max mem: 31671 Epoch: [17] [ 930/5278] eta: 3:03:50 lr: 3.0176013961105133e-05 loss: 0.0626 (0.0725) loss_seg: 0.0634 (0.0779) loss_lansim: 0.1090 (0.1090) loss_contra: 0.0001 (0.0046) time: 2.5164 data: 0.0023 max mem: 31671 Epoch: [17] [ 940/5278] eta: 3:03:28 lr: 3.017375944932196e-05 loss: 0.0612 (0.0726) loss_seg: 0.0631 (0.0780) loss_lansim: 0.1096 (0.1090) loss_contra: 0.0001 (0.0045) time: 2.5266 data: 0.0023 max mem: 31671 Epoch: [17] [ 950/5278] eta: 3:03:01 lr: 3.017150491882178e-05 loss: 0.0620 (0.0727) loss_seg: 0.0634 (0.0781) loss_lansim: 0.1088 (0.1091) loss_contra: 0.0001 (0.0045) time: 2.5353 data: 0.0023 max mem: 31671 Epoch: [17] [ 960/5278] eta: 3:02:34 lr: 3.0169250369602863e-05 loss: 0.0615 (0.0730) loss_seg: 0.0635 (0.0784) loss_lansim: 0.1102 (0.1092) loss_contra: 0.0001 (0.0044) time: 2.5317 data: 0.0023 max mem: 31671 Epoch: [17] [ 970/5278] eta: 3:02:10 lr: 3.0166995801663512e-05 loss: 0.0606 (0.0731) loss_seg: 0.0633 (0.0785) loss_lansim: 0.1102 (0.1091) loss_contra: 0.0001 (0.0044) time: 2.5232 data: 0.0023 max mem: 31671 Epoch: [17] [ 980/5278] eta: 3:01:41 lr: 3.0164741215002012e-05 loss: 0.0574 (0.0729) loss_seg: 0.0603 (0.0783) loss_lansim: 0.1088 (0.1092) loss_contra: 0.0001 (0.0044) time: 2.5205 data: 0.0023 max mem: 31671 Epoch: [17] [ 990/5278] eta: 3:01:15 lr: 3.0162486609616652e-05 loss: 0.0563 (0.0731) loss_seg: 0.0590 (0.0785) loss_lansim: 0.1096 (0.1093) loss_contra: 0.0002 (0.0044) time: 2.5138 data: 0.0024 max mem: 31671 Epoch: [17] [1000/5278] eta: 3:00:52 lr: 3.0160231985505722e-05 loss: 0.0551 (0.0732) loss_seg: 0.0581 (0.0785) loss_lansim: 0.1096 (0.1094) loss_contra: 0.0002 (0.0044) time: 2.5228 data: 0.0024 max mem: 31671 Epoch: [17] [1010/5278] eta: 3:00:27 lr: 3.0157977342667516e-05 loss: 0.0529 (0.0731) loss_seg: 0.0573 (0.0785) loss_lansim: 0.1087 (0.1093) loss_contra: 0.0002 (0.0044) time: 2.5284 data: 0.0024 max mem: 31671 Epoch: [17] [1020/5278] eta: 3:00:00 lr: 3.0155722681100308e-05 loss: 0.0535 (0.0730) loss_seg: 0.0574 (0.0784) loss_lansim: 0.1087 (0.1094) loss_contra: 0.0001 (0.0043) time: 2.5269 data: 0.0024 max mem: 31671 Epoch: [17] [1030/5278] eta: 2:59:34 lr: 3.0153468000802406e-05 loss: 0.0535 (0.0728) loss_seg: 0.0574 (0.0782) loss_lansim: 0.1103 (0.1094) loss_contra: 0.0001 (0.0043) time: 2.5304 data: 0.0024 max mem: 31671 Epoch: [17] [1040/5278] eta: 2:59:12 lr: 3.0151213301772085e-05 loss: 0.0524 (0.0729) loss_seg: 0.0574 (0.0782) loss_lansim: 0.1103 (0.1094) loss_contra: 0.0001 (0.0043) time: 2.5320 data: 0.0024 max mem: 31671 Epoch: [17] [1050/5278] eta: 2:58:47 lr: 3.0148958584007635e-05 loss: 0.0524 (0.0728) loss_seg: 0.0574 (0.0781) loss_lansim: 0.1120 (0.1094) loss_contra: 0.0001 (0.0043) time: 2.5358 data: 0.0024 max mem: 31671 Epoch: [17] [1060/5278] eta: 2:58:18 lr: 3.0146703847507352e-05 loss: 0.0524 (0.0727) loss_seg: 0.0566 (0.0781) loss_lansim: 0.1107 (0.1094) loss_contra: 0.0001 (0.0043) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [17] [1070/5278] eta: 2:57:51 lr: 3.014444909226951e-05 loss: 0.0524 (0.0726) loss_seg: 0.0563 (0.0780) loss_lansim: 0.1118 (0.1093) loss_contra: 0.0001 (0.0043) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [17] [1080/5278] eta: 2:57:22 lr: 3.0142194318292404e-05 loss: 0.0548 (0.0725) loss_seg: 0.0577 (0.0779) loss_lansim: 0.1097 (0.1094) loss_contra: 0.0001 (0.0043) time: 2.5219 data: 0.0024 max mem: 31671 Epoch: [17] [1090/5278] eta: 2:56:55 lr: 3.0139939525574327e-05 loss: 0.0550 (0.0724) loss_seg: 0.0607 (0.0778) loss_lansim: 0.1086 (0.1093) loss_contra: 0.0001 (0.0042) time: 2.5201 data: 0.0024 max mem: 31671 Epoch: [17] [1100/5278] eta: 2:56:29 lr: 3.0137684714113546e-05 loss: 0.0556 (0.0723) loss_seg: 0.0613 (0.0776) loss_lansim: 0.1095 (0.1093) loss_contra: 0.0001 (0.0042) time: 2.5123 data: 0.0024 max mem: 31671 Epoch: [17] [1110/5278] eta: 2:56:00 lr: 3.0135429883908373e-05 loss: 0.0559 (0.0722) loss_seg: 0.0607 (0.0775) loss_lansim: 0.1095 (0.1093) loss_contra: 0.0001 (0.0042) time: 2.5014 data: 0.0024 max mem: 31671 Epoch: [17] [1120/5278] eta: 2:55:33 lr: 3.0133175034957066e-05 loss: 0.0568 (0.0723) loss_seg: 0.0607 (0.0776) loss_lansim: 0.1079 (0.1093) loss_contra: 0.0001 (0.0041) time: 2.5006 data: 0.0024 max mem: 31671 Epoch: [17] [1130/5278] eta: 2:55:09 lr: 3.0130920167257932e-05 loss: 0.0568 (0.0721) loss_seg: 0.0606 (0.0774) loss_lansim: 0.1079 (0.1093) loss_contra: 0.0001 (0.0041) time: 2.5059 data: 0.0024 max mem: 31671 Epoch: [17] [1140/5278] eta: 2:54:40 lr: 3.012866528080925e-05 loss: 0.0566 (0.0722) loss_seg: 0.0605 (0.0775) loss_lansim: 0.1080 (0.1093) loss_contra: 0.0000 (0.0041) time: 2.4878 data: 0.0024 max mem: 31671 Epoch: [17] [1150/5278] eta: 2:54:17 lr: 3.0126410375609294e-05 loss: 0.0553 (0.0723) loss_seg: 0.0583 (0.0776) loss_lansim: 0.1082 (0.1093) loss_contra: 0.0001 (0.0042) time: 2.4941 data: 0.0024 max mem: 31671 Epoch: [17] [1160/5278] eta: 2:53:48 lr: 3.0124155451656367e-05 loss: 0.0587 (0.0726) loss_seg: 0.0607 (0.0779) loss_lansim: 0.1092 (0.1094) loss_contra: 0.0000 (0.0042) time: 2.4883 data: 0.0024 max mem: 31671 Epoch: [17] [1170/5278] eta: 2:53:25 lr: 3.0121900508948742e-05 loss: 0.0615 (0.0726) loss_seg: 0.0623 (0.0779) loss_lansim: 0.1100 (0.1095) loss_contra: 0.0000 (0.0042) time: 2.5016 data: 0.0023 max mem: 31671 Epoch: [17] [1180/5278] eta: 2:53:06 lr: 3.0119645547484704e-05 loss: 0.0615 (0.0727) loss_seg: 0.0623 (0.0780) loss_lansim: 0.1099 (0.1094) loss_contra: 0.0000 (0.0041) time: 2.5285 data: 0.0024 max mem: 31671 Epoch: [17] [1190/5278] eta: 2:52:46 lr: 3.0117390567262542e-05 loss: 0.0608 (0.0728) loss_seg: 0.0616 (0.0781) loss_lansim: 0.1099 (0.1094) loss_contra: 0.0000 (0.0041) time: 2.5477 data: 0.0024 max mem: 31671 Epoch: [17] [1200/5278] eta: 2:52:19 lr: 3.0115135568280528e-05 loss: 0.0617 (0.0728) loss_seg: 0.0622 (0.0782) loss_lansim: 0.1101 (0.1095) loss_contra: 0.0000 (0.0041) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [17] [1210/5278] eta: 2:51:52 lr: 3.0112880550536958e-05 loss: 0.0627 (0.0728) loss_seg: 0.0675 (0.0782) loss_lansim: 0.1101 (0.1095) loss_contra: 0.0000 (0.0042) time: 2.5498 data: 0.0024 max mem: 31671 Epoch: [17] [1220/5278] eta: 2:51:26 lr: 3.011062551403011e-05 loss: 0.0587 (0.0727) loss_seg: 0.0609 (0.0780) loss_lansim: 0.1104 (0.1095) loss_contra: 0.0000 (0.0041) time: 2.5536 data: 0.0024 max mem: 31671 Epoch: [17] [1230/5278] eta: 2:51:02 lr: 3.0108370458758254e-05 loss: 0.0587 (0.0725) loss_seg: 0.0609 (0.0779) loss_lansim: 0.1104 (0.1094) loss_contra: 0.0000 (0.0041) time: 2.5542 data: 0.0024 max mem: 31671 Epoch: [17] [1240/5278] eta: 2:50:34 lr: 3.0106115384719702e-05 loss: 0.0606 (0.0725) loss_seg: 0.0627 (0.0778) loss_lansim: 0.1110 (0.1095) loss_contra: 0.0000 (0.0042) time: 2.5557 data: 0.0024 max mem: 31671 Epoch: [17] [1250/5278] eta: 2:50:09 lr: 3.0103860291912706e-05 loss: 0.0615 (0.0725) loss_seg: 0.0629 (0.0779) loss_lansim: 0.1101 (0.1095) loss_contra: 0.0000 (0.0041) time: 2.5475 data: 0.0024 max mem: 31671 Epoch: [17] [1260/5278] eta: 2:49:44 lr: 3.010160518033556e-05 loss: 0.0606 (0.0725) loss_seg: 0.0627 (0.0778) loss_lansim: 0.1095 (0.1095) loss_contra: 0.0000 (0.0041) time: 2.5617 data: 0.0024 max mem: 31671 Epoch: [17] [1270/5278] eta: 2:49:17 lr: 3.0099350049986553e-05 loss: 0.0573 (0.0725) loss_seg: 0.0612 (0.0778) loss_lansim: 0.1088 (0.1095) loss_contra: 0.0000 (0.0041) time: 2.5500 data: 0.0024 max mem: 31671 Epoch: [17] [1280/5278] eta: 2:48:53 lr: 3.0097094900863955e-05 loss: 0.0606 (0.0727) loss_seg: 0.0627 (0.0780) loss_lansim: 0.1093 (0.1095) loss_contra: 0.0001 (0.0042) time: 2.5339 data: 0.0024 max mem: 31671 Epoch: [17] [1290/5278] eta: 2:48:29 lr: 3.009483973296604e-05 loss: 0.0606 (0.0726) loss_seg: 0.0627 (0.0779) loss_lansim: 0.1104 (0.1096) loss_contra: 0.0001 (0.0044) time: 2.5239 data: 0.0024 max mem: 31671 Epoch: [17] [1300/5278] eta: 2:48:05 lr: 3.0092584546291114e-05 loss: 0.0611 (0.0726) loss_seg: 0.0634 (0.0780) loss_lansim: 0.1091 (0.1095) loss_contra: 0.0002 (0.0043) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [17] [1310/5278] eta: 2:47:37 lr: 3.009032934083742e-05 loss: 0.0598 (0.0725) loss_seg: 0.0627 (0.0779) loss_lansim: 0.1093 (0.1096) loss_contra: 0.0002 (0.0047) time: 2.5296 data: 0.0024 max mem: 31671 Epoch: [17] [1320/5278] eta: 2:47:12 lr: 3.0088074116603277e-05 loss: 0.0597 (0.0724) loss_seg: 0.0630 (0.0778) loss_lansim: 0.1088 (0.1095) loss_contra: 0.0002 (0.0047) time: 2.5341 data: 0.0024 max mem: 31671 Epoch: [17] [1330/5278] eta: 2:46:49 lr: 3.008581887358694e-05 loss: 0.0598 (0.0723) loss_seg: 0.0634 (0.0776) loss_lansim: 0.1088 (0.1095) loss_contra: 0.0002 (0.0047) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [17] [1340/5278] eta: 2:46:24 lr: 3.008356361178669e-05 loss: 0.0597 (0.0722) loss_seg: 0.0634 (0.0776) loss_lansim: 0.1082 (0.1095) loss_contra: 0.0002 (0.0047) time: 2.5469 data: 0.0023 max mem: 31671 Epoch: [17] [1350/5278] eta: 2:45:56 lr: 3.008130833120082e-05 loss: 0.0609 (0.0722) loss_seg: 0.0671 (0.0775) loss_lansim: 0.1071 (0.1095) loss_contra: 0.0002 (0.0047) time: 2.5372 data: 0.0023 max mem: 31671 Epoch: [17] [1360/5278] eta: 2:45:31 lr: 3.0079053031827588e-05 loss: 0.0597 (0.0722) loss_seg: 0.0634 (0.0775) loss_lansim: 0.1071 (0.1095) loss_contra: 0.0002 (0.0047) time: 2.5376 data: 0.0023 max mem: 31671 Epoch: [17] [1370/5278] eta: 2:45:06 lr: 3.007679771366529e-05 loss: 0.0585 (0.0720) loss_seg: 0.0611 (0.0773) loss_lansim: 0.1065 (0.1094) loss_contra: 0.0002 (0.0047) time: 2.5433 data: 0.0024 max mem: 31671 Epoch: [17] [1380/5278] eta: 2:44:43 lr: 3.0074542376712194e-05 loss: 0.0576 (0.0720) loss_seg: 0.0607 (0.0773) loss_lansim: 0.1062 (0.1094) loss_contra: 0.0002 (0.0047) time: 2.5464 data: 0.0024 max mem: 31671 Epoch: [17] [1390/5278] eta: 2:44:17 lr: 3.0072287020966584e-05 loss: 0.0561 (0.0719) loss_seg: 0.0594 (0.0772) loss_lansim: 0.1061 (0.1095) loss_contra: 0.0001 (0.0047) time: 2.5418 data: 0.0024 max mem: 31671 Epoch: [17] [1400/5278] eta: 2:43:53 lr: 3.007003164642674e-05 loss: 0.0540 (0.0718) loss_seg: 0.0573 (0.0771) loss_lansim: 0.1062 (0.1094) loss_contra: 0.0001 (0.0047) time: 2.5406 data: 0.0024 max mem: 31671 Epoch: [17] [1410/5278] eta: 2:43:27 lr: 3.0067776253090922e-05 loss: 0.0548 (0.0721) loss_seg: 0.0585 (0.0774) loss_lansim: 0.1061 (0.1094) loss_contra: 0.0001 (0.0048) time: 2.5481 data: 0.0024 max mem: 31671 Epoch: [17] [1420/5278] eta: 2:43:02 lr: 3.0065520840957424e-05 loss: 0.0558 (0.0722) loss_seg: 0.0601 (0.0775) loss_lansim: 0.1062 (0.1093) loss_contra: 0.0001 (0.0048) time: 2.5459 data: 0.0024 max mem: 31671 Epoch: [17] [1430/5278] eta: 2:42:36 lr: 3.0063265410024514e-05 loss: 0.0569 (0.0721) loss_seg: 0.0611 (0.0775) loss_lansim: 0.1063 (0.1093) loss_contra: 0.0001 (0.0047) time: 2.5385 data: 0.0024 max mem: 31671 Epoch: [17] [1440/5278] eta: 2:42:12 lr: 3.0061009960290465e-05 loss: 0.0558 (0.0721) loss_seg: 0.0611 (0.0774) loss_lansim: 0.1062 (0.1093) loss_contra: 0.0001 (0.0047) time: 2.5408 data: 0.0024 max mem: 31671 Epoch: [17] [1450/5278] eta: 2:41:50 lr: 3.005875449175357e-05 loss: 0.0542 (0.0720) loss_seg: 0.0583 (0.0774) loss_lansim: 0.1063 (0.1093) loss_contra: 0.0000 (0.0047) time: 2.5626 data: 0.0024 max mem: 31671 Epoch: [17] [1460/5278] eta: 2:41:23 lr: 3.0056499004412093e-05 loss: 0.0569 (0.0721) loss_seg: 0.0623 (0.0774) loss_lansim: 0.1056 (0.1092) loss_contra: 0.0001 (0.0047) time: 2.5561 data: 0.0024 max mem: 31671 Epoch: [17] [1470/5278] eta: 2:40:59 lr: 3.00542434982643e-05 loss: 0.0571 (0.0721) loss_seg: 0.0630 (0.0774) loss_lansim: 0.1051 (0.1092) loss_contra: 0.0001 (0.0046) time: 2.5587 data: 0.0024 max mem: 31671 Epoch: [17] [1480/5278] eta: 2:40:34 lr: 3.0051987973308488e-05 loss: 0.0569 (0.0721) loss_seg: 0.0620 (0.0774) loss_lansim: 0.1051 (0.1091) loss_contra: 0.0001 (0.0046) time: 2.5543 data: 0.0024 max mem: 31671 Epoch: [17] [1490/5278] eta: 2:40:09 lr: 3.004973242954291e-05 loss: 0.0569 (0.0719) loss_seg: 0.0620 (0.0772) loss_lansim: 0.1042 (0.1091) loss_contra: 0.0001 (0.0046) time: 2.5557 data: 0.0024 max mem: 31671 Epoch: [17] [1500/5278] eta: 2:39:44 lr: 3.0047476866965853e-05 loss: 0.0571 (0.0718) loss_seg: 0.0627 (0.0771) loss_lansim: 0.1042 (0.1091) loss_contra: 0.0001 (0.0046) time: 2.5517 data: 0.0024 max mem: 31671 Epoch: [17] [1510/5278] eta: 2:39:18 lr: 3.0045221285575592e-05 loss: 0.0571 (0.0718) loss_seg: 0.0627 (0.0771) loss_lansim: 0.1047 (0.1091) loss_contra: 0.0001 (0.0046) time: 2.5539 data: 0.0024 max mem: 31671 Epoch: [17] [1520/5278] eta: 2:38:55 lr: 3.0042965685370385e-05 loss: 0.0564 (0.0718) loss_seg: 0.0597 (0.0771) loss_lansim: 0.1050 (0.1090) loss_contra: 0.0001 (0.0045) time: 2.5640 data: 0.0024 max mem: 31671 Epoch: [17] [1530/5278] eta: 2:38:31 lr: 3.0040710066348527e-05 loss: 0.0564 (0.0717) loss_seg: 0.0597 (0.0770) loss_lansim: 0.1047 (0.1090) loss_contra: 0.0001 (0.0045) time: 2.5702 data: 0.0024 max mem: 31671 Epoch: [17] [1540/5278] eta: 2:38:05 lr: 3.0038454428508274e-05 loss: 0.0573 (0.0717) loss_seg: 0.0620 (0.0770) loss_lansim: 0.1032 (0.1089) loss_contra: 0.0001 (0.0045) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [17] [1550/5278] eta: 2:37:40 lr: 3.0036198771847907e-05 loss: 0.0556 (0.0716) loss_seg: 0.0597 (0.0769) loss_lansim: 0.1019 (0.1089) loss_contra: 0.0002 (0.0045) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [17] [1560/5278] eta: 2:37:14 lr: 3.0033943096365703e-05 loss: 0.0540 (0.0715) loss_seg: 0.0590 (0.0768) loss_lansim: 0.1022 (0.1088) loss_contra: 0.0002 (0.0045) time: 2.5569 data: 0.0025 max mem: 31671 Epoch: [17] [1570/5278] eta: 2:36:49 lr: 3.0031687402059927e-05 loss: 0.0538 (0.0714) loss_seg: 0.0534 (0.0767) loss_lansim: 0.1029 (0.1088) loss_contra: 0.0001 (0.0045) time: 2.5531 data: 0.0024 max mem: 31671 Epoch: [17] [1580/5278] eta: 2:36:23 lr: 3.002943168892885e-05 loss: 0.0543 (0.0714) loss_seg: 0.0597 (0.0767) loss_lansim: 0.1032 (0.1088) loss_contra: 0.0001 (0.0052) time: 2.5480 data: 0.0024 max mem: 31671 Epoch: [17] [1590/5278] eta: 2:35:57 lr: 3.002717595697075e-05 loss: 0.0551 (0.0713) loss_seg: 0.0606 (0.0766) loss_lansim: 0.1050 (0.1089) loss_contra: 0.0001 (0.0052) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [17] [1600/5278] eta: 2:35:31 lr: 3.002492020618389e-05 loss: 0.0560 (0.0713) loss_seg: 0.0616 (0.0765) loss_lansim: 0.1049 (0.1089) loss_contra: 0.0001 (0.0053) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [17] [1610/5278] eta: 2:35:07 lr: 3.0022664436566545e-05 loss: 0.0560 (0.0712) loss_seg: 0.0606 (0.0764) loss_lansim: 0.1035 (0.1088) loss_contra: 0.0001 (0.0053) time: 2.5475 data: 0.0024 max mem: 31671 Epoch: [17] [1620/5278] eta: 2:34:41 lr: 3.0020408648116987e-05 loss: 0.0551 (0.0712) loss_seg: 0.0593 (0.0764) loss_lansim: 0.1049 (0.1088) loss_contra: 0.0001 (0.0052) time: 2.5365 data: 0.0024 max mem: 31671 Epoch: [17] [1630/5278] eta: 2:34:16 lr: 3.001815284083349e-05 loss: 0.0564 (0.0714) loss_seg: 0.0617 (0.0766) loss_lansim: 0.1049 (0.1089) loss_contra: 0.0001 (0.0052) time: 2.5299 data: 0.0024 max mem: 31671 Epoch: [17] [1640/5278] eta: 2:33:49 lr: 3.001589701471432e-05 loss: 0.0564 (0.0713) loss_seg: 0.0617 (0.0766) loss_lansim: 0.1049 (0.1088) loss_contra: 0.0001 (0.0052) time: 2.5266 data: 0.0024 max mem: 31671 Epoch: [17] [1650/5278] eta: 2:33:22 lr: 3.0013641169757738e-05 loss: 0.0564 (0.0712) loss_seg: 0.0617 (0.0765) loss_lansim: 0.1058 (0.1088) loss_contra: 0.0001 (0.0052) time: 2.5165 data: 0.0024 max mem: 31671 Epoch: [17] [1660/5278] eta: 2:32:55 lr: 3.0011385305962037e-05 loss: 0.0591 (0.0713) loss_seg: 0.0620 (0.0765) loss_lansim: 0.1069 (0.1089) loss_contra: 0.0001 (0.0052) time: 2.5095 data: 0.0024 max mem: 31671 Epoch: [17] [1670/5278] eta: 2:32:28 lr: 3.000912942332546e-05 loss: 0.0591 (0.0712) loss_seg: 0.0621 (0.0765) loss_lansim: 0.1084 (0.1089) loss_contra: 0.0001 (0.0052) time: 2.5032 data: 0.0025 max mem: 31671 Epoch: [17] [1680/5278] eta: 2:32:02 lr: 3.000687352184629e-05 loss: 0.0593 (0.0712) loss_seg: 0.0629 (0.0765) loss_lansim: 0.1066 (0.1089) loss_contra: 0.0001 (0.0051) time: 2.5064 data: 0.0025 max mem: 31671 Epoch: [17] [1690/5278] eta: 2:31:36 lr: 3.00046176015228e-05 loss: 0.0613 (0.0711) loss_seg: 0.0636 (0.0764) loss_lansim: 0.1057 (0.1089) loss_contra: 0.0001 (0.0051) time: 2.5032 data: 0.0025 max mem: 31671 Epoch: [17] [1700/5278] eta: 2:31:09 lr: 3.0002361662353245e-05 loss: 0.0579 (0.0710) loss_seg: 0.0624 (0.0763) loss_lansim: 0.1079 (0.1089) loss_contra: 0.0001 (0.0051) time: 2.4967 data: 0.0025 max mem: 31671 Epoch: [17] [1710/5278] eta: 2:30:41 lr: 3.0000105704335896e-05 loss: 0.0576 (0.0709) loss_seg: 0.0624 (0.0762) loss_lansim: 0.1066 (0.1088) loss_contra: 0.0001 (0.0051) time: 2.4787 data: 0.0025 max mem: 31671 Epoch: [17] [1720/5278] eta: 2:30:14 lr: 2.9997849727469036e-05 loss: 0.0613 (0.0710) loss_seg: 0.0636 (0.0762) loss_lansim: 0.1055 (0.1088) loss_contra: 0.0001 (0.0051) time: 2.4715 data: 0.0025 max mem: 31671 Epoch: [17] [1730/5278] eta: 2:29:49 lr: 2.9995593731750905e-05 loss: 0.0579 (0.0711) loss_seg: 0.0629 (0.0763) loss_lansim: 0.1057 (0.1087) loss_contra: 0.0001 (0.0051) time: 2.4765 data: 0.0024 max mem: 31671 Epoch: [17] [1740/5278] eta: 2:29:24 lr: 2.99933377171798e-05 loss: 0.0591 (0.0710) loss_seg: 0.0634 (0.0763) loss_lansim: 0.1057 (0.1088) loss_contra: 0.0001 (0.0051) time: 2.4803 data: 0.0025 max mem: 31671 Epoch: [17] [1750/5278] eta: 2:29:00 lr: 2.9991081683753963e-05 loss: 0.0608 (0.0709) loss_seg: 0.0655 (0.0762) loss_lansim: 0.1050 (0.1087) loss_contra: 0.0001 (0.0051) time: 2.4953 data: 0.0025 max mem: 31671 Epoch: [17] [1760/5278] eta: 2:28:32 lr: 2.9988825631471673e-05 loss: 0.0594 (0.0709) loss_seg: 0.0634 (0.0761) loss_lansim: 0.1049 (0.1087) loss_contra: 0.0001 (0.0051) time: 2.4933 data: 0.0025 max mem: 31671 Epoch: [17] [1770/5278] eta: 2:28:05 lr: 2.99865695603312e-05 loss: 0.0608 (0.0709) loss_seg: 0.0655 (0.0761) loss_lansim: 0.1049 (0.1087) loss_contra: 0.0001 (0.0051) time: 2.4867 data: 0.0025 max mem: 31671 Epoch: [17] [1780/5278] eta: 2:27:39 lr: 2.9984313470330798e-05 loss: 0.0607 (0.0709) loss_seg: 0.0636 (0.0762) loss_lansim: 0.1050 (0.1087) loss_contra: 0.0001 (0.0051) time: 2.4862 data: 0.0025 max mem: 31671 Epoch: [17] [1790/5278] eta: 2:27:14 lr: 2.998205736146874e-05 loss: 0.0568 (0.0709) loss_seg: 0.0609 (0.0762) loss_lansim: 0.1050 (0.1087) loss_contra: 0.0001 (0.0051) time: 2.4914 data: 0.0024 max mem: 31671 Epoch: [17] [1800/5278] eta: 2:26:46 lr: 2.99798012337433e-05 loss: 0.0607 (0.0709) loss_seg: 0.0636 (0.0761) loss_lansim: 0.1039 (0.1087) loss_contra: 0.0001 (0.0051) time: 2.4864 data: 0.0024 max mem: 31671 Epoch: [17] [1810/5278] eta: 2:26:21 lr: 2.9977545087152713e-05 loss: 0.0607 (0.0708) loss_seg: 0.0655 (0.0761) loss_lansim: 0.1045 (0.1087) loss_contra: 0.0001 (0.0050) time: 2.4993 data: 0.0024 max mem: 31671 Epoch: [17] [1820/5278] eta: 2:25:55 lr: 2.9975288921695278e-05 loss: 0.0568 (0.0707) loss_seg: 0.0610 (0.0760) loss_lansim: 0.1054 (0.1087) loss_contra: 0.0001 (0.0050) time: 2.5061 data: 0.0024 max mem: 31671 Epoch: [17] [1830/5278] eta: 2:25:30 lr: 2.9973032737369238e-05 loss: 0.0554 (0.0707) loss_seg: 0.0609 (0.0759) loss_lansim: 0.1050 (0.1086) loss_contra: 0.0001 (0.0050) time: 2.5035 data: 0.0024 max mem: 31671 Epoch: [17] [1840/5278] eta: 2:25:05 lr: 2.9970776534172867e-05 loss: 0.0554 (0.0707) loss_seg: 0.0609 (0.0759) loss_lansim: 0.1045 (0.1086) loss_contra: 0.0001 (0.0050) time: 2.5049 data: 0.0024 max mem: 31671 Epoch: [17] [1850/5278] eta: 2:24:40 lr: 2.9968520312104425e-05 loss: 0.0554 (0.0708) loss_seg: 0.0609 (0.0760) loss_lansim: 0.1054 (0.1086) loss_contra: 0.0001 (0.0049) time: 2.5013 data: 0.0024 max mem: 31671 Epoch: [17] [1860/5278] eta: 2:24:16 lr: 2.996626407116217e-05 loss: 0.0590 (0.0708) loss_seg: 0.0631 (0.0760) loss_lansim: 0.1057 (0.1086) loss_contra: 0.0001 (0.0049) time: 2.5138 data: 0.0024 max mem: 31671 Epoch: [17] [1870/5278] eta: 2:23:52 lr: 2.996400781134438e-05 loss: 0.0602 (0.0710) loss_seg: 0.0635 (0.0763) loss_lansim: 0.1058 (0.1086) loss_contra: 0.0001 (0.0049) time: 2.5337 data: 0.0024 max mem: 31671 Epoch: [17] [1880/5278] eta: 2:23:25 lr: 2.9961751532649307e-05 loss: 0.0602 (0.0710) loss_seg: 0.0636 (0.0763) loss_lansim: 0.1049 (0.1085) loss_contra: 0.0001 (0.0049) time: 2.5271 data: 0.0023 max mem: 31671 Epoch: [17] [1890/5278] eta: 2:22:59 lr: 2.9959495235075214e-05 loss: 0.0609 (0.0709) loss_seg: 0.0644 (0.0762) loss_lansim: 0.1039 (0.1085) loss_contra: 0.0001 (0.0049) time: 2.5244 data: 0.0023 max mem: 31671 Epoch: [17] [1900/5278] eta: 2:22:33 lr: 2.9957238918620366e-05 loss: 0.0609 (0.0710) loss_seg: 0.0649 (0.0762) loss_lansim: 0.1041 (0.1085) loss_contra: 0.0001 (0.0048) time: 2.5299 data: 0.0023 max mem: 31671 Epoch: [17] [1910/5278] eta: 2:22:07 lr: 2.9954982583283026e-05 loss: 0.0632 (0.0709) loss_seg: 0.0649 (0.0762) loss_lansim: 0.1030 (0.1084) loss_contra: 0.0001 (0.0050) time: 2.5285 data: 0.0023 max mem: 31671 Epoch: [17] [1920/5278] eta: 2:21:42 lr: 2.9952726229061446e-05 loss: 0.0632 (0.0709) loss_seg: 0.0649 (0.0762) loss_lansim: 0.1018 (0.1084) loss_contra: 0.0001 (0.0049) time: 2.5301 data: 0.0023 max mem: 31671 Epoch: [17] [1930/5278] eta: 2:21:18 lr: 2.9950469855953904e-05 loss: 0.0632 (0.0709) loss_seg: 0.0684 (0.0762) loss_lansim: 0.1012 (0.1083) loss_contra: 0.0001 (0.0049) time: 2.5349 data: 0.0024 max mem: 31671 Epoch: [17] [1940/5278] eta: 2:20:53 lr: 2.9948213463958642e-05 loss: 0.0625 (0.0709) loss_seg: 0.0685 (0.0762) loss_lansim: 0.1012 (0.1083) loss_contra: 0.0001 (0.0049) time: 2.5414 data: 0.0023 max mem: 31671 Epoch: [17] [1950/5278] eta: 2:20:28 lr: 2.9945957053073936e-05 loss: 0.0625 (0.0709) loss_seg: 0.0685 (0.0762) loss_lansim: 0.1016 (0.1083) loss_contra: 0.0001 (0.0049) time: 2.5373 data: 0.0024 max mem: 31671 Epoch: [17] [1960/5278] eta: 2:20:02 lr: 2.9943700623298037e-05 loss: 0.0619 (0.0708) loss_seg: 0.0681 (0.0761) loss_lansim: 0.1012 (0.1083) loss_contra: 0.0001 (0.0049) time: 2.5310 data: 0.0024 max mem: 31671 Epoch: [17] [1970/5278] eta: 2:19:37 lr: 2.9941444174629206e-05 loss: 0.0578 (0.0708) loss_seg: 0.0620 (0.0761) loss_lansim: 0.1009 (0.1083) loss_contra: 0.0001 (0.0048) time: 2.5235 data: 0.0024 max mem: 31671 Epoch: [17] [1980/5278] eta: 2:19:13 lr: 2.993918770706572e-05 loss: 0.0574 (0.0708) loss_seg: 0.0620 (0.0760) loss_lansim: 0.0998 (0.1082) loss_contra: 0.0001 (0.0048) time: 2.5388 data: 0.0024 max mem: 31671 Epoch: [17] [1990/5278] eta: 2:18:47 lr: 2.9936931220605814e-05 loss: 0.0580 (0.0708) loss_seg: 0.0640 (0.0760) loss_lansim: 0.0991 (0.1082) loss_contra: 0.0001 (0.0048) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [17] [2000/5278] eta: 2:18:22 lr: 2.9934674715247752e-05 loss: 0.0579 (0.0708) loss_seg: 0.0640 (0.0760) loss_lansim: 0.0990 (0.1082) loss_contra: 0.0001 (0.0048) time: 2.5479 data: 0.0024 max mem: 31671 Epoch: [17] [2010/5278] eta: 2:17:56 lr: 2.993241819098981e-05 loss: 0.0592 (0.0708) loss_seg: 0.0652 (0.0760) loss_lansim: 0.1007 (0.1081) loss_contra: 0.0001 (0.0048) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [17] [2020/5278] eta: 2:17:31 lr: 2.993016164783022e-05 loss: 0.0601 (0.0708) loss_seg: 0.0652 (0.0760) loss_lansim: 0.1016 (0.1081) loss_contra: 0.0001 (0.0047) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [17] [2030/5278] eta: 2:17:05 lr: 2.9927905085767265e-05 loss: 0.0633 (0.0709) loss_seg: 0.0685 (0.0762) loss_lansim: 0.1016 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [17] [2040/5278] eta: 2:16:40 lr: 2.9925648504799187e-05 loss: 0.0649 (0.0710) loss_seg: 0.0686 (0.0763) loss_lansim: 0.1007 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [17] [2050/5278] eta: 2:16:15 lr: 2.9923391904924252e-05 loss: 0.0649 (0.0710) loss_seg: 0.0686 (0.0763) loss_lansim: 0.1005 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [17] [2060/5278] eta: 2:15:50 lr: 2.9921135286140723e-05 loss: 0.0646 (0.0710) loss_seg: 0.0704 (0.0763) loss_lansim: 0.1005 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [17] [2070/5278] eta: 2:15:24 lr: 2.9918878648446834e-05 loss: 0.0642 (0.0709) loss_seg: 0.0702 (0.0762) loss_lansim: 0.1007 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [17] [2080/5278] eta: 2:14:59 lr: 2.9916621991840865e-05 loss: 0.0636 (0.0709) loss_seg: 0.0702 (0.0762) loss_lansim: 0.1022 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [17] [2090/5278] eta: 2:14:35 lr: 2.9914365316321063e-05 loss: 0.0628 (0.0709) loss_seg: 0.0681 (0.0762) loss_lansim: 0.1022 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [17] [2100/5278] eta: 2:14:10 lr: 2.991210862188568e-05 loss: 0.0633 (0.0710) loss_seg: 0.0689 (0.0763) loss_lansim: 0.1022 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [17] [2110/5278] eta: 2:13:44 lr: 2.9909851908532983e-05 loss: 0.0628 (0.0710) loss_seg: 0.0681 (0.0763) loss_lansim: 0.1025 (0.1080) loss_contra: 0.0001 (0.0047) time: 2.5431 data: 0.0024 max mem: 31671 Epoch: [17] [2120/5278] eta: 2:13:18 lr: 2.9907595176261215e-05 loss: 0.0633 (0.0710) loss_seg: 0.0685 (0.0763) loss_lansim: 0.1029 (0.1079) loss_contra: 0.0002 (0.0047) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [17] [2130/5278] eta: 2:12:54 lr: 2.990533842506864e-05 loss: 0.0623 (0.0710) loss_seg: 0.0679 (0.0763) loss_lansim: 0.1032 (0.1079) loss_contra: 0.0001 (0.0047) time: 2.5466 data: 0.0024 max mem: 31671 Epoch: [17] [2140/5278] eta: 2:12:29 lr: 2.990308165495352e-05 loss: 0.0623 (0.0710) loss_seg: 0.0665 (0.0763) loss_lansim: 0.1035 (0.1079) loss_contra: 0.0001 (0.0047) time: 2.5474 data: 0.0024 max mem: 31671 Epoch: [17] [2150/5278] eta: 2:12:02 lr: 2.990082486591408e-05 loss: 0.0618 (0.0711) loss_seg: 0.0662 (0.0764) loss_lansim: 0.1036 (0.1079) loss_contra: 0.0001 (0.0046) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [17] [2160/5278] eta: 2:11:37 lr: 2.989856805794861e-05 loss: 0.0618 (0.0711) loss_seg: 0.0662 (0.0764) loss_lansim: 0.1045 (0.1079) loss_contra: 0.0001 (0.0046) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [17] [2170/5278] eta: 2:11:11 lr: 2.9896311231055342e-05 loss: 0.0618 (0.0710) loss_seg: 0.0662 (0.0763) loss_lansim: 0.1040 (0.1078) loss_contra: 0.0001 (0.0046) time: 2.5346 data: 0.0024 max mem: 31671 Epoch: [17] [2180/5278] eta: 2:10:46 lr: 2.9894054385232532e-05 loss: 0.0623 (0.0711) loss_seg: 0.0656 (0.0764) loss_lansim: 0.1029 (0.1078) loss_contra: 0.0001 (0.0046) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [17] [2190/5278] eta: 2:10:21 lr: 2.989179752047845e-05 loss: 0.0626 (0.0712) loss_seg: 0.0662 (0.0765) loss_lansim: 0.1036 (0.1078) loss_contra: 0.0001 (0.0046) time: 2.5289 data: 0.0024 max mem: 31671 Epoch: [17] [2200/5278] eta: 2:09:55 lr: 2.9889540636791325e-05 loss: 0.0623 (0.0711) loss_seg: 0.0651 (0.0764) loss_lansim: 0.1028 (0.1077) loss_contra: 0.0001 (0.0046) time: 2.5273 data: 0.0024 max mem: 31671 Epoch: [17] [2210/5278] eta: 2:09:32 lr: 2.988728373416942e-05 loss: 0.0623 (0.0711) loss_seg: 0.0651 (0.0763) loss_lansim: 0.1022 (0.1077) loss_contra: 0.0001 (0.0046) time: 2.5381 data: 0.0024 max mem: 31671 Epoch: [17] [2220/5278] eta: 2:09:06 lr: 2.9885026812610996e-05 loss: 0.0617 (0.0712) loss_seg: 0.0653 (0.0764) loss_lansim: 0.1025 (0.1077) loss_contra: 0.0001 (0.0046) time: 2.5399 data: 0.0024 max mem: 31671 Epoch: [17] [2230/5278] eta: 2:08:40 lr: 2.9882769872114287e-05 loss: 0.0617 (0.0711) loss_seg: 0.0651 (0.0764) loss_lansim: 0.1022 (0.1077) loss_contra: 0.0000 (0.0046) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [17] [2240/5278] eta: 2:08:14 lr: 2.988051291267756e-05 loss: 0.0595 (0.0711) loss_seg: 0.0645 (0.0763) loss_lansim: 0.1022 (0.1077) loss_contra: 0.0000 (0.0045) time: 2.5226 data: 0.0024 max mem: 31671 Epoch: [17] [2250/5278] eta: 2:07:48 lr: 2.987825593429906e-05 loss: 0.0593 (0.0710) loss_seg: 0.0618 (0.0763) loss_lansim: 0.1011 (0.1077) loss_contra: 0.0001 (0.0047) time: 2.5276 data: 0.0024 max mem: 31671 Epoch: [17] [2260/5278] eta: 2:07:22 lr: 2.987599893697704e-05 loss: 0.0595 (0.0711) loss_seg: 0.0633 (0.0763) loss_lansim: 0.1006 (0.1077) loss_contra: 0.0001 (0.0048) time: 2.5225 data: 0.0024 max mem: 31671 Epoch: [17] [2270/5278] eta: 2:06:58 lr: 2.9873741920709754e-05 loss: 0.0593 (0.0711) loss_seg: 0.0619 (0.0763) loss_lansim: 0.1006 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5358 data: 0.0024 max mem: 31671 Epoch: [17] [2280/5278] eta: 2:06:33 lr: 2.9871484885495443e-05 loss: 0.0609 (0.0711) loss_seg: 0.0652 (0.0764) loss_lansim: 0.1042 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5344 data: 0.0024 max mem: 31671 Epoch: [17] [2290/5278] eta: 2:06:08 lr: 2.986922783133237e-05 loss: 0.0595 (0.0711) loss_seg: 0.0619 (0.0763) loss_lansim: 0.1025 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [17] [2300/5278] eta: 2:05:43 lr: 2.9866970758218776e-05 loss: 0.0609 (0.0711) loss_seg: 0.0627 (0.0763) loss_lansim: 0.1037 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [17] [2310/5278] eta: 2:05:19 lr: 2.9864713666152905e-05 loss: 0.0595 (0.0711) loss_seg: 0.0633 (0.0764) loss_lansim: 0.1050 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [17] [2320/5278] eta: 2:04:53 lr: 2.9862456555133024e-05 loss: 0.0590 (0.0711) loss_seg: 0.0622 (0.0763) loss_lansim: 0.1057 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [17] [2330/5278] eta: 2:04:28 lr: 2.986019942515737e-05 loss: 0.0589 (0.0711) loss_seg: 0.0619 (0.0763) loss_lansim: 0.1060 (0.1077) loss_contra: 0.0002 (0.0048) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [17] [2340/5278] eta: 2:04:02 lr: 2.985794227622419e-05 loss: 0.0609 (0.0711) loss_seg: 0.0648 (0.0763) loss_lansim: 0.1057 (0.1077) loss_contra: 0.0002 (0.0048) time: 2.5401 data: 0.0024 max mem: 31671 Epoch: [17] [2350/5278] eta: 2:03:36 lr: 2.9855685108331745e-05 loss: 0.0630 (0.0711) loss_seg: 0.0671 (0.0763) loss_lansim: 0.1056 (0.1077) loss_contra: 0.0001 (0.0048) time: 2.5412 data: 0.0024 max mem: 31671 Epoch: [17] [2360/5278] eta: 2:03:11 lr: 2.985342792147826e-05 loss: 0.0630 (0.0711) loss_seg: 0.0671 (0.0763) loss_lansim: 0.1056 (0.1076) loss_contra: 0.0002 (0.0048) time: 2.5495 data: 0.0024 max mem: 31671 Epoch: [17] [2370/5278] eta: 2:02:45 lr: 2.9851170715662007e-05 loss: 0.0611 (0.0710) loss_seg: 0.0650 (0.0762) loss_lansim: 0.1056 (0.1076) loss_contra: 0.0002 (0.0048) time: 2.5368 data: 0.0024 max mem: 31671 Epoch: [17] [2380/5278] eta: 2:02:20 lr: 2.984891349088122e-05 loss: 0.0603 (0.0710) loss_seg: 0.0635 (0.0762) loss_lansim: 0.1055 (0.1076) loss_contra: 0.0001 (0.0048) time: 2.5356 data: 0.0024 max mem: 31671 Epoch: [17] [2390/5278] eta: 2:01:54 lr: 2.9846656247134154e-05 loss: 0.0617 (0.0710) loss_seg: 0.0650 (0.0763) loss_lansim: 0.1056 (0.1076) loss_contra: 0.0001 (0.0048) time: 2.5273 data: 0.0024 max mem: 31671 Epoch: [17] [2400/5278] eta: 2:01:28 lr: 2.984439898441905e-05 loss: 0.0636 (0.0711) loss_seg: 0.0677 (0.0764) loss_lansim: 0.1041 (0.1076) loss_contra: 0.0001 (0.0048) time: 2.5189 data: 0.0023 max mem: 31671 Epoch: [17] [2410/5278] eta: 2:01:02 lr: 2.9842141702734155e-05 loss: 0.0617 (0.0711) loss_seg: 0.0677 (0.0763) loss_lansim: 0.1041 (0.1076) loss_contra: 0.0001 (0.0048) time: 2.5078 data: 0.0023 max mem: 31671 Epoch: [17] [2420/5278] eta: 2:00:37 lr: 2.9839884402077716e-05 loss: 0.0643 (0.0711) loss_seg: 0.0682 (0.0764) loss_lansim: 0.1031 (0.1075) loss_contra: 0.0001 (0.0048) time: 2.5116 data: 0.0023 max mem: 31671 Epoch: [17] [2430/5278] eta: 2:00:11 lr: 2.9837627082447982e-05 loss: 0.0643 (0.0712) loss_seg: 0.0697 (0.0764) loss_lansim: 0.1021 (0.1076) loss_contra: 0.0001 (0.0048) time: 2.5065 data: 0.0023 max mem: 31671 Epoch: [17] [2440/5278] eta: 1:59:47 lr: 2.983536974384319e-05 loss: 0.0636 (0.0712) loss_seg: 0.0677 (0.0764) loss_lansim: 0.1031 (0.1075) loss_contra: 0.0001 (0.0047) time: 2.5233 data: 0.0024 max mem: 31671 Epoch: [17] [2450/5278] eta: 1:59:22 lr: 2.9833112386261603e-05 loss: 0.0617 (0.0712) loss_seg: 0.0677 (0.0764) loss_lansim: 0.1021 (0.1075) loss_contra: 0.0001 (0.0047) time: 2.5233 data: 0.0024 max mem: 31671 Epoch: [17] [2460/5278] eta: 1:58:57 lr: 2.983085500970144e-05 loss: 0.0617 (0.0712) loss_seg: 0.0682 (0.0764) loss_lansim: 0.1031 (0.1075) loss_contra: 0.0001 (0.0047) time: 2.5214 data: 0.0024 max mem: 31671 Epoch: [17] [2470/5278] eta: 1:58:30 lr: 2.982859761416097e-05 loss: 0.0686 (0.0712) loss_seg: 0.0731 (0.0764) loss_lansim: 0.1021 (0.1075) loss_contra: 0.0001 (0.0047) time: 2.5178 data: 0.0024 max mem: 31671 Epoch: [17] [2480/5278] eta: 1:58:05 lr: 2.9826340199638424e-05 loss: 0.0671 (0.0712) loss_seg: 0.0731 (0.0765) loss_lansim: 0.1020 (0.1075) loss_contra: 0.0001 (0.0047) time: 2.5210 data: 0.0024 max mem: 31671 Epoch: [17] [2490/5278] eta: 1:57:40 lr: 2.982408276613205e-05 loss: 0.0643 (0.0712) loss_seg: 0.0699 (0.0764) loss_lansim: 0.1031 (0.1075) loss_contra: 0.0001 (0.0047) time: 2.5287 data: 0.0024 max mem: 31671 Epoch: [17] [2500/5278] eta: 1:57:15 lr: 2.982182531364009e-05 loss: 0.0644 (0.0712) loss_seg: 0.0712 (0.0764) loss_lansim: 0.1031 (0.1075) loss_contra: 0.0001 (0.0047) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [17] [2510/5278] eta: 1:56:48 lr: 2.9819567842160788e-05 loss: 0.0663 (0.0712) loss_seg: 0.0733 (0.0765) loss_lansim: 0.1026 (0.1075) loss_contra: 0.0001 (0.0049) time: 2.5216 data: 0.0024 max mem: 31671 Epoch: [17] [2520/5278] eta: 1:56:23 lr: 2.9817310351692383e-05 loss: 0.0655 (0.0712) loss_seg: 0.0722 (0.0764) loss_lansim: 0.1021 (0.1074) loss_contra: 0.0001 (0.0049) time: 2.5185 data: 0.0024 max mem: 31671 Epoch: [17] [2530/5278] eta: 1:55:57 lr: 2.981505284223313e-05 loss: 0.0644 (0.0711) loss_seg: 0.0682 (0.0764) loss_lansim: 0.1016 (0.1074) loss_contra: 0.0001 (0.0049) time: 2.5206 data: 0.0024 max mem: 31671 Epoch: [17] [2540/5278] eta: 1:55:31 lr: 2.9812795313781268e-05 loss: 0.0618 (0.0711) loss_seg: 0.0673 (0.0764) loss_lansim: 0.1024 (0.1074) loss_contra: 0.0001 (0.0049) time: 2.5046 data: 0.0024 max mem: 31671 Epoch: [17] [2550/5278] eta: 1:55:05 lr: 2.9810537766335024e-05 loss: 0.0618 (0.0711) loss_seg: 0.0673 (0.0763) loss_lansim: 0.1024 (0.1074) loss_contra: 0.0002 (0.0049) time: 2.5005 data: 0.0024 max mem: 31671 Epoch: [17] [2560/5278] eta: 1:54:39 lr: 2.9808280199892656e-05 loss: 0.0609 (0.0711) loss_seg: 0.0671 (0.0763) loss_lansim: 0.1040 (0.1074) loss_contra: 0.0002 (0.0049) time: 2.4946 data: 0.0024 max mem: 31671 Epoch: [17] [2570/5278] eta: 1:54:15 lr: 2.9806022614452407e-05 loss: 0.0609 (0.0712) loss_seg: 0.0671 (0.0764) loss_lansim: 0.1049 (0.1074) loss_contra: 0.0002 (0.0049) time: 2.5132 data: 0.0025 max mem: 31671 Epoch: [17] [2580/5278] eta: 1:53:50 lr: 2.98037650100125e-05 loss: 0.0618 (0.0712) loss_seg: 0.0673 (0.0764) loss_lansim: 0.1059 (0.1075) loss_contra: 0.0002 (0.0049) time: 2.5171 data: 0.0024 max mem: 31671 Epoch: [17] [2590/5278] eta: 1:53:25 lr: 2.9801507386571192e-05 loss: 0.0649 (0.0712) loss_seg: 0.0704 (0.0765) loss_lansim: 0.1080 (0.1075) loss_contra: 0.0002 (0.0049) time: 2.5133 data: 0.0025 max mem: 31671 Epoch: [17] [2600/5278] eta: 1:52:58 lr: 2.9799249744126723e-05 loss: 0.0621 (0.0712) loss_seg: 0.0682 (0.0764) loss_lansim: 0.1085 (0.1075) loss_contra: 0.0002 (0.0049) time: 2.5028 data: 0.0025 max mem: 31671 Epoch: [17] [2610/5278] eta: 1:52:33 lr: 2.9796992082677332e-05 loss: 0.0643 (0.0712) loss_seg: 0.0682 (0.0765) loss_lansim: 0.1085 (0.1075) loss_contra: 0.0002 (0.0050) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [17] [2620/5278] eta: 1:52:08 lr: 2.9794734402221253e-05 loss: 0.0618 (0.0712) loss_seg: 0.0673 (0.0765) loss_lansim: 0.1092 (0.1075) loss_contra: 0.0002 (0.0050) time: 2.5150 data: 0.0025 max mem: 31671 Epoch: [17] [2630/5278] eta: 1:51:42 lr: 2.979247670275673e-05 loss: 0.0652 (0.0713) loss_seg: 0.0704 (0.0766) loss_lansim: 0.1092 (0.1075) loss_contra: 0.0002 (0.0049) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [17] [2640/5278] eta: 1:51:17 lr: 2.9790218984282003e-05 loss: 0.0653 (0.0713) loss_seg: 0.0710 (0.0766) loss_lansim: 0.1094 (0.1076) loss_contra: 0.0002 (0.0049) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [17] [2650/5278] eta: 1:50:52 lr: 2.9787961246795304e-05 loss: 0.0659 (0.0713) loss_seg: 0.0715 (0.0766) loss_lansim: 0.1104 (0.1076) loss_contra: 0.0001 (0.0049) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [17] [2660/5278] eta: 1:50:26 lr: 2.9785703490294888e-05 loss: 0.0662 (0.0713) loss_seg: 0.0715 (0.0766) loss_lansim: 0.1107 (0.1076) loss_contra: 0.0001 (0.0049) time: 2.5322 data: 0.0025 max mem: 31671 Epoch: [17] [2670/5278] eta: 1:50:01 lr: 2.9783445714778974e-05 loss: 0.0662 (0.0713) loss_seg: 0.0715 (0.0766) loss_lansim: 0.1104 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5189 data: 0.0025 max mem: 31671 Epoch: [17] [2680/5278] eta: 1:49:35 lr: 2.9781187920245813e-05 loss: 0.0653 (0.0712) loss_seg: 0.0709 (0.0765) loss_lansim: 0.1109 (0.1077) loss_contra: 0.0001 (0.0050) time: 2.5083 data: 0.0025 max mem: 31671 Epoch: [17] [2690/5278] eta: 1:49:10 lr: 2.977893010669364e-05 loss: 0.0633 (0.0713) loss_seg: 0.0682 (0.0765) loss_lansim: 0.1112 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5121 data: 0.0025 max mem: 31671 Epoch: [17] [2700/5278] eta: 1:48:45 lr: 2.977667227412069e-05 loss: 0.0625 (0.0712) loss_seg: 0.0673 (0.0764) loss_lansim: 0.1112 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [17] [2710/5278] eta: 1:48:20 lr: 2.9774414422525204e-05 loss: 0.0612 (0.0712) loss_seg: 0.0660 (0.0764) loss_lansim: 0.1112 (0.1077) loss_contra: 0.0002 (0.0049) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [17] [2720/5278] eta: 1:47:55 lr: 2.9772156551905424e-05 loss: 0.0607 (0.0712) loss_seg: 0.0658 (0.0764) loss_lansim: 0.1113 (0.1077) loss_contra: 0.0001 (0.0049) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [17] [2730/5278] eta: 1:47:29 lr: 2.9769898662259566e-05 loss: 0.0596 (0.0712) loss_seg: 0.0639 (0.0764) loss_lansim: 0.1117 (0.1078) loss_contra: 0.0001 (0.0049) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [17] [2740/5278] eta: 1:47:04 lr: 2.976764075358589e-05 loss: 0.0581 (0.0712) loss_seg: 0.0635 (0.0764) loss_lansim: 0.1129 (0.1078) loss_contra: 0.0001 (0.0049) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [17] [2750/5278] eta: 1:46:40 lr: 2.9765382825882615e-05 loss: 0.0592 (0.0712) loss_seg: 0.0639 (0.0764) loss_lansim: 0.1115 (0.1078) loss_contra: 0.0001 (0.0049) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [17] [2760/5278] eta: 1:46:15 lr: 2.976312487914799e-05 loss: 0.0574 (0.0711) loss_seg: 0.0608 (0.0764) loss_lansim: 0.1115 (0.1078) loss_contra: 0.0001 (0.0049) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [17] [2770/5278] eta: 1:45:49 lr: 2.976086691338024e-05 loss: 0.0560 (0.0711) loss_seg: 0.0607 (0.0764) loss_lansim: 0.1115 (0.1078) loss_contra: 0.0001 (0.0050) time: 2.5453 data: 0.0025 max mem: 31671 Epoch: [17] [2780/5278] eta: 1:45:24 lr: 2.9758608928577607e-05 loss: 0.0592 (0.0712) loss_seg: 0.0640 (0.0764) loss_lansim: 0.1101 (0.1078) loss_contra: 0.0001 (0.0050) time: 2.5529 data: 0.0026 max mem: 31671 Epoch: [17] [2790/5278] eta: 1:44:58 lr: 2.975635092473832e-05 loss: 0.0607 (0.0711) loss_seg: 0.0658 (0.0764) loss_lansim: 0.1101 (0.1078) loss_contra: 0.0001 (0.0050) time: 2.5445 data: 0.0026 max mem: 31671 Epoch: [17] [2800/5278] eta: 1:44:32 lr: 2.975409290186062e-05 loss: 0.0607 (0.0711) loss_seg: 0.0648 (0.0763) loss_lansim: 0.1104 (0.1078) loss_contra: 0.0001 (0.0050) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [17] [2810/5278] eta: 1:44:07 lr: 2.9751834859942727e-05 loss: 0.0581 (0.0712) loss_seg: 0.0630 (0.0764) loss_lansim: 0.1109 (0.1078) loss_contra: 0.0001 (0.0050) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [17] [2820/5278] eta: 1:43:41 lr: 2.9749576798982898e-05 loss: 0.0583 (0.0712) loss_seg: 0.0630 (0.0765) loss_lansim: 0.1109 (0.1079) loss_contra: 0.0001 (0.0050) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [17] [2830/5278] eta: 1:43:16 lr: 2.9747318718979345e-05 loss: 0.0572 (0.0712) loss_seg: 0.0630 (0.0765) loss_lansim: 0.1104 (0.1079) loss_contra: 0.0001 (0.0049) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [17] [2840/5278] eta: 1:42:50 lr: 2.974506061993031e-05 loss: 0.0583 (0.0713) loss_seg: 0.0635 (0.0766) loss_lansim: 0.1099 (0.1079) loss_contra: 0.0001 (0.0049) time: 2.5208 data: 0.0025 max mem: 31671 Epoch: [17] [2850/5278] eta: 1:42:24 lr: 2.9742802501834032e-05 loss: 0.0583 (0.0714) loss_seg: 0.0640 (0.0767) loss_lansim: 0.1104 (0.1079) loss_contra: 0.0001 (0.0050) time: 2.5031 data: 0.0025 max mem: 31671 Epoch: [17] [2860/5278] eta: 1:41:59 lr: 2.9740544364688726e-05 loss: 0.0631 (0.0714) loss_seg: 0.0682 (0.0767) loss_lansim: 0.1109 (0.1079) loss_contra: 0.0001 (0.0050) time: 2.4965 data: 0.0025 max mem: 31671 Epoch: [17] [2870/5278] eta: 1:41:34 lr: 2.9738286208492645e-05 loss: 0.0611 (0.0715) loss_seg: 0.0672 (0.0768) loss_lansim: 0.1109 (0.1079) loss_contra: 0.0001 (0.0050) time: 2.5093 data: 0.0026 max mem: 31671 Epoch: [17] [2880/5278] eta: 1:41:09 lr: 2.9736028033244008e-05 loss: 0.0631 (0.0715) loss_seg: 0.0682 (0.0768) loss_lansim: 0.1109 (0.1079) loss_contra: 0.0001 (0.0051) time: 2.5102 data: 0.0025 max mem: 31671 Epoch: [17] [2890/5278] eta: 1:40:43 lr: 2.973376983894105e-05 loss: 0.0610 (0.0715) loss_seg: 0.0669 (0.0768) loss_lansim: 0.1109 (0.1080) loss_contra: 0.0001 (0.0051) time: 2.5118 data: 0.0025 max mem: 31671 Epoch: [17] [2900/5278] eta: 1:40:18 lr: 2.9731511625582002e-05 loss: 0.0631 (0.0715) loss_seg: 0.0695 (0.0768) loss_lansim: 0.1116 (0.1080) loss_contra: 0.0002 (0.0051) time: 2.5140 data: 0.0025 max mem: 31671 Epoch: [17] [2910/5278] eta: 1:39:52 lr: 2.9729253393165096e-05 loss: 0.0611 (0.0715) loss_seg: 0.0669 (0.0768) loss_lansim: 0.1125 (0.1080) loss_contra: 0.0002 (0.0051) time: 2.5077 data: 0.0025 max mem: 31671 Epoch: [17] [2920/5278] eta: 1:39:27 lr: 2.9726995141688556e-05 loss: 0.0649 (0.0715) loss_seg: 0.0703 (0.0768) loss_lansim: 0.1128 (0.1081) loss_contra: 0.0002 (0.0051) time: 2.5107 data: 0.0025 max mem: 31671 Epoch: [17] [2930/5278] eta: 1:39:01 lr: 2.9724736871150627e-05 loss: 0.0611 (0.0714) loss_seg: 0.0669 (0.0767) loss_lansim: 0.1139 (0.1081) loss_contra: 0.0002 (0.0051) time: 2.5098 data: 0.0025 max mem: 31671 Epoch: [17] [2940/5278] eta: 1:38:36 lr: 2.9722478581549517e-05 loss: 0.0610 (0.0714) loss_seg: 0.0649 (0.0767) loss_lansim: 0.1140 (0.1081) loss_contra: 0.0001 (0.0050) time: 2.5151 data: 0.0025 max mem: 31671 Epoch: [17] [2950/5278] eta: 1:38:10 lr: 2.972022027288348e-05 loss: 0.0605 (0.0714) loss_seg: 0.0648 (0.0767) loss_lansim: 0.1137 (0.1081) loss_contra: 0.0001 (0.0050) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [17] [2960/5278] eta: 1:37:45 lr: 2.9717961945150736e-05 loss: 0.0592 (0.0714) loss_seg: 0.0645 (0.0767) loss_lansim: 0.1135 (0.1081) loss_contra: 0.0001 (0.0050) time: 2.5195 data: 0.0024 max mem: 31671 Epoch: [17] [2970/5278] eta: 1:37:21 lr: 2.9715703598349504e-05 loss: 0.0596 (0.0714) loss_seg: 0.0646 (0.0767) loss_lansim: 0.1128 (0.1081) loss_contra: 0.0001 (0.0050) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [17] [2980/5278] eta: 1:36:55 lr: 2.9713445232478027e-05 loss: 0.0592 (0.0714) loss_seg: 0.0641 (0.0767) loss_lansim: 0.1135 (0.1082) loss_contra: 0.0001 (0.0052) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [17] [2990/5278] eta: 1:36:31 lr: 2.9711186847534522e-05 loss: 0.0592 (0.0714) loss_seg: 0.0641 (0.0767) loss_lansim: 0.1137 (0.1082) loss_contra: 0.0001 (0.0052) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [17] [3000/5278] eta: 1:36:05 lr: 2.9708928443517225e-05 loss: 0.0646 (0.0714) loss_seg: 0.0653 (0.0767) loss_lansim: 0.1128 (0.1082) loss_contra: 0.0001 (0.0051) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [17] [3010/5278] eta: 1:35:40 lr: 2.9706670020424366e-05 loss: 0.0663 (0.0714) loss_seg: 0.0705 (0.0767) loss_lansim: 0.1128 (0.1082) loss_contra: 0.0001 (0.0051) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [17] [3020/5278] eta: 1:35:15 lr: 2.9704411578254153e-05 loss: 0.0633 (0.0714) loss_seg: 0.0655 (0.0767) loss_lansim: 0.1113 (0.1082) loss_contra: 0.0000 (0.0051) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [17] [3030/5278] eta: 1:34:50 lr: 2.9702153117004845e-05 loss: 0.0663 (0.0714) loss_seg: 0.0700 (0.0767) loss_lansim: 0.1113 (0.1082) loss_contra: 0.0000 (0.0051) time: 2.5592 data: 0.0025 max mem: 31671 Epoch: [17] [3040/5278] eta: 1:34:25 lr: 2.9699894636674646e-05 loss: 0.0654 (0.0714) loss_seg: 0.0696 (0.0767) loss_lansim: 0.1113 (0.1082) loss_contra: 0.0001 (0.0052) time: 2.5603 data: 0.0025 max mem: 31671 Epoch: [17] [3050/5278] eta: 1:33:59 lr: 2.9697636137261788e-05 loss: 0.0646 (0.0714) loss_seg: 0.0693 (0.0766) loss_lansim: 0.1113 (0.1082) loss_contra: 0.0002 (0.0052) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [17] [3060/5278] eta: 1:33:33 lr: 2.9695377618764497e-05 loss: 0.0650 (0.0714) loss_seg: 0.0694 (0.0767) loss_lansim: 0.1106 (0.1082) loss_contra: 0.0002 (0.0052) time: 2.5536 data: 0.0025 max mem: 31671 Epoch: [17] [3070/5278] eta: 1:33:08 lr: 2.9693119081180997e-05 loss: 0.0654 (0.0714) loss_seg: 0.0700 (0.0767) loss_lansim: 0.1097 (0.1082) loss_contra: 0.0002 (0.0051) time: 2.5400 data: 0.0025 max mem: 31671 Epoch: [17] [3080/5278] eta: 1:32:43 lr: 2.9690860524509524e-05 loss: 0.0665 (0.0714) loss_seg: 0.0717 (0.0767) loss_lansim: 0.1091 (0.1082) loss_contra: 0.0001 (0.0051) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [17] [3090/5278] eta: 1:32:17 lr: 2.968860194874829e-05 loss: 0.0671 (0.0715) loss_seg: 0.0721 (0.0768) loss_lansim: 0.1097 (0.1083) loss_contra: 0.0001 (0.0051) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [17] [3100/5278] eta: 1:31:52 lr: 2.9686343353895524e-05 loss: 0.0663 (0.0716) loss_seg: 0.0721 (0.0769) loss_lansim: 0.1098 (0.1083) loss_contra: 0.0002 (0.0052) time: 2.5343 data: 0.0024 max mem: 31671 Epoch: [17] [3110/5278] eta: 1:31:27 lr: 2.968408473994946e-05 loss: 0.0671 (0.0716) loss_seg: 0.0721 (0.0769) loss_lansim: 0.1102 (0.1083) loss_contra: 0.0002 (0.0051) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [17] [3120/5278] eta: 1:31:02 lr: 2.9681826106908313e-05 loss: 0.0681 (0.0717) loss_seg: 0.0736 (0.0770) loss_lansim: 0.1102 (0.1083) loss_contra: 0.0002 (0.0053) time: 2.5301 data: 0.0025 max mem: 31671 Epoch: [17] [3130/5278] eta: 1:30:36 lr: 2.96795674547703e-05 loss: 0.0682 (0.0717) loss_seg: 0.0743 (0.0770) loss_lansim: 0.1091 (0.1083) loss_contra: 0.0002 (0.0053) time: 2.5199 data: 0.0025 max mem: 31671 Epoch: [17] [3140/5278] eta: 1:30:11 lr: 2.9677308783533665e-05 loss: 0.0702 (0.0718) loss_seg: 0.0753 (0.0771) loss_lansim: 0.1070 (0.1082) loss_contra: 0.0001 (0.0053) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [17] [3150/5278] eta: 1:29:46 lr: 2.967505009319661e-05 loss: 0.0750 (0.0718) loss_seg: 0.0794 (0.0772) loss_lansim: 0.1069 (0.1082) loss_contra: 0.0001 (0.0053) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [17] [3160/5278] eta: 1:29:21 lr: 2.9672791383757374e-05 loss: 0.0750 (0.0719) loss_seg: 0.0794 (0.0772) loss_lansim: 0.1067 (0.1082) loss_contra: 0.0001 (0.0053) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [17] [3170/5278] eta: 1:28:55 lr: 2.9670532655214172e-05 loss: 0.0702 (0.0719) loss_seg: 0.0775 (0.0772) loss_lansim: 0.1075 (0.1082) loss_contra: 0.0002 (0.0053) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [17] [3180/5278] eta: 1:28:29 lr: 2.9668273907565226e-05 loss: 0.0690 (0.0719) loss_seg: 0.0763 (0.0772) loss_lansim: 0.1069 (0.1082) loss_contra: 0.0002 (0.0053) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [17] [3190/5278] eta: 1:28:04 lr: 2.9666015140808766e-05 loss: 0.0686 (0.0719) loss_seg: 0.0752 (0.0773) loss_lansim: 0.1057 (0.1082) loss_contra: 0.0002 (0.0052) time: 2.5260 data: 0.0025 max mem: 31671 Epoch: [17] [3200/5278] eta: 1:27:40 lr: 2.9663756354943006e-05 loss: 0.0687 (0.0720) loss_seg: 0.0758 (0.0773) loss_lansim: 0.1026 (0.1082) loss_contra: 0.0001 (0.0052) time: 2.5415 data: 0.0026 max mem: 31671 Epoch: [17] [3210/5278] eta: 1:27:14 lr: 2.9661497549966172e-05 loss: 0.0681 (0.0720) loss_seg: 0.0731 (0.0773) loss_lansim: 0.0996 (0.1081) loss_contra: 0.0001 (0.0052) time: 2.5420 data: 0.0026 max mem: 31671 Epoch: [17] [3220/5278] eta: 1:26:49 lr: 2.965923872587648e-05 loss: 0.0657 (0.0719) loss_seg: 0.0724 (0.0773) loss_lansim: 0.1006 (0.1081) loss_contra: 0.0001 (0.0052) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [17] [3230/5278] eta: 1:26:24 lr: 2.9656979882672147e-05 loss: 0.0656 (0.0719) loss_seg: 0.0723 (0.0773) loss_lansim: 0.1006 (0.1081) loss_contra: 0.0001 (0.0052) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [17] [3240/5278] eta: 1:25:58 lr: 2.9654721020351417e-05 loss: 0.0626 (0.0719) loss_seg: 0.0677 (0.0772) loss_lansim: 0.1011 (0.1081) loss_contra: 0.0001 (0.0052) time: 2.5337 data: 0.0026 max mem: 31671 Epoch: [17] [3250/5278] eta: 1:25:33 lr: 2.965246213891248e-05 loss: 0.0623 (0.0719) loss_seg: 0.0669 (0.0772) loss_lansim: 0.1006 (0.1081) loss_contra: 0.0001 (0.0052) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [17] [3260/5278] eta: 1:25:07 lr: 2.9650203238353575e-05 loss: 0.0647 (0.0719) loss_seg: 0.0674 (0.0772) loss_lansim: 0.1006 (0.1081) loss_contra: 0.0001 (0.0053) time: 2.5248 data: 0.0025 max mem: 31671 Epoch: [17] [3270/5278] eta: 1:24:42 lr: 2.9647944318672922e-05 loss: 0.0623 (0.0720) loss_seg: 0.0655 (0.0774) loss_lansim: 0.0998 (0.1080) loss_contra: 0.0001 (0.0052) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [17] [3280/5278] eta: 1:24:17 lr: 2.9645685379868726e-05 loss: 0.0623 (0.0720) loss_seg: 0.0650 (0.0774) loss_lansim: 0.0998 (0.1080) loss_contra: 0.0001 (0.0053) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [17] [3290/5278] eta: 1:23:52 lr: 2.9643426421939213e-05 loss: 0.0595 (0.0720) loss_seg: 0.0626 (0.0773) loss_lansim: 0.1001 (0.1080) loss_contra: 0.0001 (0.0053) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [17] [3300/5278] eta: 1:23:27 lr: 2.9641167444882612e-05 loss: 0.0592 (0.0720) loss_seg: 0.0623 (0.0774) loss_lansim: 0.1021 (0.1080) loss_contra: 0.0001 (0.0053) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [17] [3310/5278] eta: 1:23:01 lr: 2.9638908448697124e-05 loss: 0.0573 (0.0719) loss_seg: 0.0617 (0.0773) loss_lansim: 0.1032 (0.1080) loss_contra: 0.0001 (0.0053) time: 2.5313 data: 0.0024 max mem: 31671 Epoch: [17] [3320/5278] eta: 1:22:36 lr: 2.9636649433380986e-05 loss: 0.0595 (0.0720) loss_seg: 0.0637 (0.0774) loss_lansim: 0.1030 (0.1080) loss_contra: 0.0002 (0.0053) time: 2.5351 data: 0.0024 max mem: 31671 Epoch: [17] [3330/5278] eta: 1:22:11 lr: 2.9634390398932394e-05 loss: 0.0595 (0.0720) loss_seg: 0.0637 (0.0774) loss_lansim: 0.1016 (0.1080) loss_contra: 0.0002 (0.0053) time: 2.5398 data: 0.0024 max mem: 31671 Epoch: [17] [3340/5278] eta: 1:21:46 lr: 2.9632131345349585e-05 loss: 0.0595 (0.0719) loss_seg: 0.0623 (0.0773) loss_lansim: 0.1013 (0.1080) loss_contra: 0.0001 (0.0053) time: 2.5420 data: 0.0024 max mem: 31671 Epoch: [17] [3350/5278] eta: 1:21:21 lr: 2.9629872272630767e-05 loss: 0.0573 (0.0719) loss_seg: 0.0617 (0.0773) loss_lansim: 0.1004 (0.1079) loss_contra: 0.0001 (0.0053) time: 2.5513 data: 0.0024 max mem: 31671 Epoch: [17] [3360/5278] eta: 1:20:56 lr: 2.962761318077415e-05 loss: 0.0561 (0.0719) loss_seg: 0.0616 (0.0773) loss_lansim: 0.1006 (0.1079) loss_contra: 0.0001 (0.0053) time: 2.5582 data: 0.0024 max mem: 31671 Epoch: [17] [3370/5278] eta: 1:20:30 lr: 2.9625354069777968e-05 loss: 0.0561 (0.0719) loss_seg: 0.0616 (0.0773) loss_lansim: 0.1007 (0.1079) loss_contra: 0.0001 (0.0053) time: 2.5527 data: 0.0024 max mem: 31671 Epoch: [17] [3380/5278] eta: 1:20:05 lr: 2.9623094939640423e-05 loss: 0.0561 (0.0719) loss_seg: 0.0616 (0.0773) loss_lansim: 0.1009 (0.1079) loss_contra: 0.0001 (0.0053) time: 2.5475 data: 0.0024 max mem: 31671 Epoch: [17] [3390/5278] eta: 1:19:39 lr: 2.9620835790359736e-05 loss: 0.0591 (0.0719) loss_seg: 0.0645 (0.0773) loss_lansim: 0.0999 (0.1078) loss_contra: 0.0001 (0.0053) time: 2.5443 data: 0.0024 max mem: 31671 Epoch: [17] [3400/5278] eta: 1:19:14 lr: 2.9618576621934123e-05 loss: 0.0599 (0.0719) loss_seg: 0.0651 (0.0773) loss_lansim: 0.0996 (0.1078) loss_contra: 0.0001 (0.0053) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [17] [3410/5278] eta: 1:18:49 lr: 2.9616317434361795e-05 loss: 0.0620 (0.0719) loss_seg: 0.0666 (0.0773) loss_lansim: 0.0999 (0.1078) loss_contra: 0.0001 (0.0053) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [17] [3420/5278] eta: 1:18:24 lr: 2.9614058227640972e-05 loss: 0.0604 (0.0719) loss_seg: 0.0645 (0.0772) loss_lansim: 0.0999 (0.1078) loss_contra: 0.0001 (0.0053) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [17] [3430/5278] eta: 1:17:59 lr: 2.961179900176987e-05 loss: 0.0585 (0.0718) loss_seg: 0.0616 (0.0772) loss_lansim: 0.1003 (0.1078) loss_contra: 0.0001 (0.0052) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [17] [3440/5278] eta: 1:17:33 lr: 2.960953975674669e-05 loss: 0.0620 (0.0719) loss_seg: 0.0666 (0.0772) loss_lansim: 0.0999 (0.1078) loss_contra: 0.0001 (0.0053) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [17] [3450/5278] eta: 1:17:08 lr: 2.960728049256966e-05 loss: 0.0632 (0.0719) loss_seg: 0.0682 (0.0772) loss_lansim: 0.1006 (0.1077) loss_contra: 0.0001 (0.0052) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [17] [3460/5278] eta: 1:16:42 lr: 2.9605021209236995e-05 loss: 0.0610 (0.0718) loss_seg: 0.0666 (0.0772) loss_lansim: 0.0999 (0.1077) loss_contra: 0.0001 (0.0053) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [17] [3470/5278] eta: 1:16:17 lr: 2.960276190674689e-05 loss: 0.0609 (0.0718) loss_seg: 0.0666 (0.0771) loss_lansim: 0.0997 (0.1077) loss_contra: 0.0001 (0.0053) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [17] [3480/5278] eta: 1:15:52 lr: 2.9600502585097584e-05 loss: 0.0593 (0.0718) loss_seg: 0.0651 (0.0772) loss_lansim: 0.0988 (0.1077) loss_contra: 0.0001 (0.0052) time: 2.5455 data: 0.0025 max mem: 31671 Epoch: [17] [3490/5278] eta: 1:15:27 lr: 2.9598243244287265e-05 loss: 0.0593 (0.0718) loss_seg: 0.0651 (0.0771) loss_lansim: 0.1006 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [17] [3500/5278] eta: 1:15:01 lr: 2.959598388431416e-05 loss: 0.0609 (0.0719) loss_seg: 0.0667 (0.0772) loss_lansim: 0.1006 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [17] [3510/5278] eta: 1:14:36 lr: 2.9593724505176484e-05 loss: 0.0603 (0.0718) loss_seg: 0.0667 (0.0772) loss_lansim: 0.0997 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [17] [3520/5278] eta: 1:14:11 lr: 2.9591465106872428e-05 loss: 0.0596 (0.0718) loss_seg: 0.0657 (0.0772) loss_lansim: 0.0995 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5502 data: 0.0025 max mem: 31671 Epoch: [17] [3530/5278] eta: 1:13:46 lr: 2.958920568940023e-05 loss: 0.0612 (0.0719) loss_seg: 0.0675 (0.0773) loss_lansim: 0.1003 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5415 data: 0.0026 max mem: 31671 Epoch: [17] [3540/5278] eta: 1:13:21 lr: 2.9586946252758086e-05 loss: 0.0601 (0.0718) loss_seg: 0.0663 (0.0772) loss_lansim: 0.1006 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [17] [3550/5278] eta: 1:12:56 lr: 2.9584686796944206e-05 loss: 0.0598 (0.0719) loss_seg: 0.0660 (0.0772) loss_lansim: 0.1003 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [17] [3560/5278] eta: 1:12:30 lr: 2.9582427321956807e-05 loss: 0.0601 (0.0719) loss_seg: 0.0663 (0.0772) loss_lansim: 0.1008 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5539 data: 0.0025 max mem: 31671 Epoch: [17] [3570/5278] eta: 1:12:05 lr: 2.9580167827794093e-05 loss: 0.0612 (0.0719) loss_seg: 0.0675 (0.0772) loss_lansim: 0.1016 (0.1076) loss_contra: 0.0001 (0.0052) time: 2.5543 data: 0.0025 max mem: 31671 Epoch: [17] [3580/5278] eta: 1:11:40 lr: 2.9577908314454272e-05 loss: 0.0627 (0.0719) loss_seg: 0.0679 (0.0772) loss_lansim: 0.1019 (0.1075) loss_contra: 0.0001 (0.0052) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [17] [3590/5278] eta: 1:11:15 lr: 2.957564878193556e-05 loss: 0.0631 (0.0719) loss_seg: 0.0694 (0.0773) loss_lansim: 0.1017 (0.1075) loss_contra: 0.0002 (0.0052) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [17] [3600/5278] eta: 1:10:50 lr: 2.957338923023617e-05 loss: 0.0583 (0.0719) loss_seg: 0.0641 (0.0773) loss_lansim: 0.1019 (0.1075) loss_contra: 0.0002 (0.0052) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [17] [3610/5278] eta: 1:10:25 lr: 2.9571129659354304e-05 loss: 0.0598 (0.0719) loss_seg: 0.0653 (0.0772) loss_lansim: 0.1024 (0.1075) loss_contra: 0.0002 (0.0052) time: 2.5634 data: 0.0025 max mem: 31671 Epoch: [17] [3620/5278] eta: 1:09:59 lr: 2.9568870069288168e-05 loss: 0.0598 (0.0719) loss_seg: 0.0653 (0.0773) loss_lansim: 0.1021 (0.1075) loss_contra: 0.0002 (0.0052) time: 2.5556 data: 0.0024 max mem: 31671 Epoch: [17] [3630/5278] eta: 1:09:34 lr: 2.956661046003597e-05 loss: 0.0589 (0.0720) loss_seg: 0.0649 (0.0774) loss_lansim: 0.1017 (0.1075) loss_contra: 0.0001 (0.0052) time: 2.5567 data: 0.0024 max mem: 31671 Epoch: [17] [3640/5278] eta: 1:09:09 lr: 2.9564350831595932e-05 loss: 0.0598 (0.0720) loss_seg: 0.0653 (0.0774) loss_lansim: 0.1016 (0.1075) loss_contra: 0.0001 (0.0052) time: 2.5560 data: 0.0024 max mem: 31671 Epoch: [17] [3650/5278] eta: 1:08:44 lr: 2.956209118396624e-05 loss: 0.0611 (0.0720) loss_seg: 0.0659 (0.0774) loss_lansim: 0.1024 (0.1075) loss_contra: 0.0001 (0.0051) time: 2.5620 data: 0.0024 max mem: 31671 Epoch: [17] [3660/5278] eta: 1:08:18 lr: 2.955983151714512e-05 loss: 0.0627 (0.0721) loss_seg: 0.0681 (0.0775) loss_lansim: 0.1024 (0.1075) loss_contra: 0.0001 (0.0051) time: 2.5640 data: 0.0024 max mem: 31671 Epoch: [17] [3670/5278] eta: 1:07:53 lr: 2.9557571831130765e-05 loss: 0.0633 (0.0721) loss_seg: 0.0675 (0.0775) loss_lansim: 0.1024 (0.1074) loss_contra: 0.0000 (0.0051) time: 2.5556 data: 0.0024 max mem: 31671 Epoch: [17] [3680/5278] eta: 1:07:27 lr: 2.9555312125921393e-05 loss: 0.0622 (0.0721) loss_seg: 0.0675 (0.0775) loss_lansim: 0.1024 (0.1074) loss_contra: 0.0001 (0.0052) time: 2.5482 data: 0.0024 max mem: 31671 Epoch: [17] [3690/5278] eta: 1:07:02 lr: 2.95530524015152e-05 loss: 0.0618 (0.0721) loss_seg: 0.0660 (0.0775) loss_lansim: 0.1024 (0.1074) loss_contra: 0.0000 (0.0052) time: 2.5516 data: 0.0024 max mem: 31671 Epoch: [17] [3700/5278] eta: 1:06:37 lr: 2.9550792657910402e-05 loss: 0.0637 (0.0721) loss_seg: 0.0690 (0.0776) loss_lansim: 0.1029 (0.1075) loss_contra: 0.0001 (0.0052) time: 2.5479 data: 0.0024 max mem: 31671 Epoch: [17] [3710/5278] eta: 1:06:12 lr: 2.9548532895105195e-05 loss: 0.0644 (0.0722) loss_seg: 0.0711 (0.0776) loss_lansim: 0.1036 (0.1075) loss_contra: 0.0001 (0.0053) time: 2.5453 data: 0.0024 max mem: 31671 Epoch: [17] [3720/5278] eta: 1:05:46 lr: 2.9546273113097796e-05 loss: 0.0655 (0.0722) loss_seg: 0.0721 (0.0776) loss_lansim: 0.1038 (0.1075) loss_contra: 0.0001 (0.0052) time: 2.5454 data: 0.0024 max mem: 31671 Epoch: [17] [3730/5278] eta: 1:05:21 lr: 2.9544013311886394e-05 loss: 0.0654 (0.0721) loss_seg: 0.0711 (0.0776) loss_lansim: 0.1046 (0.1075) loss_contra: 0.0001 (0.0053) time: 2.5419 data: 0.0024 max mem: 31671 Epoch: [17] [3740/5278] eta: 1:04:56 lr: 2.9541753491469204e-05 loss: 0.0654 (0.0722) loss_seg: 0.0715 (0.0776) loss_lansim: 0.1061 (0.1075) loss_contra: 0.0001 (0.0053) time: 2.5386 data: 0.0024 max mem: 31671 Epoch: [17] [3750/5278] eta: 1:04:30 lr: 2.953949365184443e-05 loss: 0.0654 (0.0721) loss_seg: 0.0715 (0.0776) loss_lansim: 0.1058 (0.1075) loss_contra: 0.0002 (0.0053) time: 2.5211 data: 0.0024 max mem: 31671 Epoch: [17] [3760/5278] eta: 1:04:05 lr: 2.9537233793010276e-05 loss: 0.0641 (0.0721) loss_seg: 0.0690 (0.0776) loss_lansim: 0.1062 (0.1075) loss_contra: 0.0002 (0.0053) time: 2.5249 data: 0.0024 max mem: 31671 Epoch: [17] [3770/5278] eta: 1:03:39 lr: 2.9534973914964946e-05 loss: 0.0626 (0.0721) loss_seg: 0.0684 (0.0775) loss_lansim: 0.1071 (0.1075) loss_contra: 0.0002 (0.0053) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [17] [3780/5278] eta: 1:03:14 lr: 2.9532714017706642e-05 loss: 0.0637 (0.0721) loss_seg: 0.0684 (0.0775) loss_lansim: 0.1071 (0.1075) loss_contra: 0.0002 (0.0053) time: 2.5264 data: 0.0024 max mem: 31671 Epoch: [17] [3790/5278] eta: 1:02:48 lr: 2.953045410123356e-05 loss: 0.0616 (0.0721) loss_seg: 0.0671 (0.0775) loss_lansim: 0.1064 (0.1075) loss_contra: 0.0002 (0.0053) time: 2.5229 data: 0.0024 max mem: 31671 Epoch: [17] [3800/5278] eta: 1:02:23 lr: 2.9528194165543923e-05 loss: 0.0596 (0.0720) loss_seg: 0.0647 (0.0775) loss_lansim: 0.1052 (0.1074) loss_contra: 0.0002 (0.0053) time: 2.5158 data: 0.0024 max mem: 31671 Epoch: [17] [3810/5278] eta: 1:01:58 lr: 2.9525934210635902e-05 loss: 0.0576 (0.0720) loss_seg: 0.0614 (0.0775) loss_lansim: 0.1044 (0.1074) loss_contra: 0.0001 (0.0053) time: 2.5122 data: 0.0024 max mem: 31671 Epoch: [17] [3820/5278] eta: 1:01:32 lr: 2.9523674236507732e-05 loss: 0.0559 (0.0721) loss_seg: 0.0600 (0.0775) loss_lansim: 0.1035 (0.1074) loss_contra: 0.0001 (0.0053) time: 2.5110 data: 0.0024 max mem: 31671 Epoch: [17] [3830/5278] eta: 1:01:07 lr: 2.9521414243157592e-05 loss: 0.0561 (0.0721) loss_seg: 0.0614 (0.0775) loss_lansim: 0.1027 (0.1074) loss_contra: 0.0001 (0.0053) time: 2.5122 data: 0.0024 max mem: 31671 Epoch: [17] [3840/5278] eta: 1:00:42 lr: 2.9519154230583694e-05 loss: 0.0545 (0.0721) loss_seg: 0.0600 (0.0775) loss_lansim: 0.1005 (0.1073) loss_contra: 0.0001 (0.0053) time: 2.5144 data: 0.0024 max mem: 31671 Epoch: [17] [3850/5278] eta: 1:00:16 lr: 2.951689419878424e-05 loss: 0.0576 (0.0721) loss_seg: 0.0635 (0.0775) loss_lansim: 0.0993 (0.1073) loss_contra: 0.0001 (0.0053) time: 2.5306 data: 0.0024 max mem: 31671 Epoch: [17] [3860/5278] eta: 0:59:51 lr: 2.951463414775742e-05 loss: 0.0579 (0.0721) loss_seg: 0.0637 (0.0775) loss_lansim: 0.1001 (0.1073) loss_contra: 0.0001 (0.0053) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [17] [3870/5278] eta: 0:59:26 lr: 2.951237407750145e-05 loss: 0.0570 (0.0720) loss_seg: 0.0627 (0.0775) loss_lansim: 0.1001 (0.1073) loss_contra: 0.0001 (0.0053) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [17] [3880/5278] eta: 0:59:01 lr: 2.9510113988014517e-05 loss: 0.0576 (0.0720) loss_seg: 0.0635 (0.0775) loss_lansim: 0.1001 (0.1073) loss_contra: 0.0001 (0.0053) time: 2.5447 data: 0.0025 max mem: 31671 Epoch: [17] [3890/5278] eta: 0:58:35 lr: 2.9507853879294823e-05 loss: 0.0579 (0.0721) loss_seg: 0.0637 (0.0775) loss_lansim: 0.1001 (0.1073) loss_contra: 0.0001 (0.0052) time: 2.5415 data: 0.0025 max mem: 31671 Epoch: [17] [3900/5278] eta: 0:58:10 lr: 2.950559375134058e-05 loss: 0.0570 (0.0720) loss_seg: 0.0627 (0.0775) loss_lansim: 0.0963 (0.1072) loss_contra: 0.0001 (0.0052) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [17] [3910/5278] eta: 0:57:45 lr: 2.950333360414997e-05 loss: 0.0565 (0.0720) loss_seg: 0.0623 (0.0774) loss_lansim: 0.0947 (0.1072) loss_contra: 0.0001 (0.0053) time: 2.5559 data: 0.0026 max mem: 31671 Epoch: [17] [3920/5278] eta: 0:57:20 lr: 2.95010734377212e-05 loss: 0.0565 (0.0720) loss_seg: 0.0602 (0.0774) loss_lansim: 0.0948 (0.1072) loss_contra: 0.0001 (0.0052) time: 2.5491 data: 0.0026 max mem: 31671 Epoch: [17] [3930/5278] eta: 0:56:54 lr: 2.9498813252052477e-05 loss: 0.0570 (0.0720) loss_seg: 0.0623 (0.0774) loss_lansim: 0.0961 (0.1071) loss_contra: 0.0001 (0.0052) time: 2.5524 data: 0.0026 max mem: 31671 Epoch: [17] [3940/5278] eta: 0:56:29 lr: 2.9496553047141974e-05 loss: 0.0565 (0.0719) loss_seg: 0.0619 (0.0774) loss_lansim: 0.0976 (0.1071) loss_contra: 0.0001 (0.0052) time: 2.5523 data: 0.0026 max mem: 31671 Epoch: [17] [3950/5278] eta: 0:56:04 lr: 2.949429282298792e-05 loss: 0.0562 (0.0720) loss_seg: 0.0591 (0.0774) loss_lansim: 0.0976 (0.1071) loss_contra: 0.0001 (0.0053) time: 2.5519 data: 0.0026 max mem: 31671 Epoch: [17] [3960/5278] eta: 0:55:38 lr: 2.9492032579588487e-05 loss: 0.0523 (0.0719) loss_seg: 0.0562 (0.0773) loss_lansim: 0.0966 (0.1071) loss_contra: 0.0001 (0.0054) time: 2.5478 data: 0.0026 max mem: 31671 Epoch: [17] [3970/5278] eta: 0:55:13 lr: 2.9489772316941887e-05 loss: 0.0565 (0.0721) loss_seg: 0.0614 (0.0775) loss_lansim: 0.0961 (0.1071) loss_contra: 0.0001 (0.0054) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [17] [3980/5278] eta: 0:54:48 lr: 2.9487512035046315e-05 loss: 0.0535 (0.0721) loss_seg: 0.0588 (0.0775) loss_lansim: 0.0961 (0.1070) loss_contra: 0.0001 (0.0054) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [17] [3990/5278] eta: 0:54:23 lr: 2.9485251733899967e-05 loss: 0.0562 (0.0721) loss_seg: 0.0591 (0.0775) loss_lansim: 0.0963 (0.1070) loss_contra: 0.0001 (0.0054) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [17] [4000/5278] eta: 0:53:57 lr: 2.948299141350103e-05 loss: 0.0534 (0.0721) loss_seg: 0.0588 (0.0775) loss_lansim: 0.0966 (0.1070) loss_contra: 0.0001 (0.0054) time: 2.5462 data: 0.0024 max mem: 31671 Epoch: [17] [4010/5278] eta: 0:53:32 lr: 2.9480731073847716e-05 loss: 0.0580 (0.0720) loss_seg: 0.0613 (0.0775) loss_lansim: 0.0972 (0.1070) loss_contra: 0.0001 (0.0054) time: 2.5308 data: 0.0024 max mem: 31671 Epoch: [17] [4020/5278] eta: 0:53:06 lr: 2.9478470714938207e-05 loss: 0.0594 (0.0720) loss_seg: 0.0614 (0.0775) loss_lansim: 0.0971 (0.1070) loss_contra: 0.0001 (0.0054) time: 2.5358 data: 0.0024 max mem: 31671 Epoch: [17] [4030/5278] eta: 0:52:41 lr: 2.947621033677071e-05 loss: 0.0532 (0.0720) loss_seg: 0.0572 (0.0774) loss_lansim: 0.0966 (0.1069) loss_contra: 0.0001 (0.0054) time: 2.5323 data: 0.0024 max mem: 31671 Epoch: [17] [4040/5278] eta: 0:52:16 lr: 2.947394993934341e-05 loss: 0.0624 (0.0720) loss_seg: 0.0614 (0.0774) loss_lansim: 0.0966 (0.1069) loss_contra: 0.0001 (0.0054) time: 2.5357 data: 0.0024 max mem: 31671 Epoch: [17] [4050/5278] eta: 0:51:50 lr: 2.9471689522654505e-05 loss: 0.0597 (0.0721) loss_seg: 0.0590 (0.0775) loss_lansim: 0.0955 (0.1069) loss_contra: 0.0001 (0.0054) time: 2.5290 data: 0.0024 max mem: 31671 Epoch: [17] [4060/5278] eta: 0:51:25 lr: 2.9469429086702193e-05 loss: 0.0601 (0.0720) loss_seg: 0.0613 (0.0774) loss_lansim: 0.0956 (0.1068) loss_contra: 0.0001 (0.0054) time: 2.5356 data: 0.0024 max mem: 31671 Epoch: [17] [4070/5278] eta: 0:51:00 lr: 2.946716863148466e-05 loss: 0.0597 (0.0721) loss_seg: 0.0590 (0.0775) loss_lansim: 0.0941 (0.1068) loss_contra: 0.0001 (0.0054) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [17] [4080/5278] eta: 0:50:35 lr: 2.946490815700011e-05 loss: 0.0594 (0.0721) loss_seg: 0.0613 (0.0775) loss_lansim: 0.0933 (0.1067) loss_contra: 0.0001 (0.0054) time: 2.5469 data: 0.0024 max mem: 31671 Epoch: [17] [4090/5278] eta: 0:50:09 lr: 2.946264766324673e-05 loss: 0.0601 (0.0722) loss_seg: 0.0636 (0.0776) loss_lansim: 0.0916 (0.1067) loss_contra: 0.0001 (0.0054) time: 2.5393 data: 0.0024 max mem: 31671 Epoch: [17] [4100/5278] eta: 0:49:44 lr: 2.9460387150222714e-05 loss: 0.0621 (0.0721) loss_seg: 0.0667 (0.0776) loss_lansim: 0.0907 (0.1067) loss_contra: 0.0001 (0.0054) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [17] [4110/5278] eta: 0:49:19 lr: 2.9458126617926252e-05 loss: 0.0632 (0.0721) loss_seg: 0.0686 (0.0776) loss_lansim: 0.0907 (0.1066) loss_contra: 0.0001 (0.0054) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [17] [4120/5278] eta: 0:48:53 lr: 2.9455866066355542e-05 loss: 0.0632 (0.0722) loss_seg: 0.0676 (0.0776) loss_lansim: 0.0907 (0.1066) loss_contra: 0.0001 (0.0054) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [17] [4130/5278] eta: 0:48:28 lr: 2.9453605495508774e-05 loss: 0.0672 (0.0722) loss_seg: 0.0732 (0.0777) loss_lansim: 0.0923 (0.1066) loss_contra: 0.0001 (0.0054) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [17] [4140/5278] eta: 0:48:02 lr: 2.9451344905384136e-05 loss: 0.0653 (0.0722) loss_seg: 0.0689 (0.0776) loss_lansim: 0.0930 (0.1066) loss_contra: 0.0001 (0.0054) time: 2.5330 data: 0.0024 max mem: 31671 Epoch: [17] [4150/5278] eta: 0:47:37 lr: 2.9449084295979822e-05 loss: 0.0639 (0.0722) loss_seg: 0.0686 (0.0776) loss_lansim: 0.0932 (0.1065) loss_contra: 0.0001 (0.0054) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [17] [4160/5278] eta: 0:47:12 lr: 2.9446823667294033e-05 loss: 0.0658 (0.0722) loss_seg: 0.0721 (0.0777) loss_lansim: 0.0940 (0.1065) loss_contra: 0.0002 (0.0054) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [17] [4170/5278] eta: 0:46:46 lr: 2.944456301932494e-05 loss: 0.0653 (0.0722) loss_seg: 0.0689 (0.0777) loss_lansim: 0.0949 (0.1065) loss_contra: 0.0002 (0.0053) time: 2.5289 data: 0.0024 max mem: 31671 Epoch: [17] [4180/5278] eta: 0:46:21 lr: 2.944230235207075e-05 loss: 0.0639 (0.0722) loss_seg: 0.0686 (0.0777) loss_lansim: 0.0958 (0.1065) loss_contra: 0.0002 (0.0053) time: 2.5253 data: 0.0024 max mem: 31671 Epoch: [17] [4190/5278] eta: 0:45:56 lr: 2.9440041665529648e-05 loss: 0.0636 (0.0722) loss_seg: 0.0686 (0.0777) loss_lansim: 0.0961 (0.1065) loss_contra: 0.0001 (0.0054) time: 2.5271 data: 0.0024 max mem: 31671 Epoch: [17] [4200/5278] eta: 0:45:30 lr: 2.9437780959699818e-05 loss: 0.0656 (0.0722) loss_seg: 0.0721 (0.0777) loss_lansim: 0.0962 (0.1065) loss_contra: 0.0001 (0.0054) time: 2.5261 data: 0.0024 max mem: 31671 Epoch: [17] [4210/5278] eta: 0:45:05 lr: 2.9435520234579457e-05 loss: 0.0637 (0.0722) loss_seg: 0.0689 (0.0777) loss_lansim: 0.0959 (0.1064) loss_contra: 0.0002 (0.0054) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [17] [4220/5278] eta: 0:44:40 lr: 2.9433259490166758e-05 loss: 0.0627 (0.0722) loss_seg: 0.0686 (0.0777) loss_lansim: 0.0959 (0.1064) loss_contra: 0.0002 (0.0054) time: 2.5400 data: 0.0025 max mem: 31671 Epoch: [17] [4230/5278] eta: 0:44:14 lr: 2.9430998726459892e-05 loss: 0.0626 (0.0722) loss_seg: 0.0673 (0.0777) loss_lansim: 0.0967 (0.1064) loss_contra: 0.0002 (0.0054) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [17] [4240/5278] eta: 0:43:49 lr: 2.942873794345707e-05 loss: 0.0641 (0.0723) loss_seg: 0.0692 (0.0778) loss_lansim: 0.0981 (0.1064) loss_contra: 0.0002 (0.0054) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [17] [4250/5278] eta: 0:43:24 lr: 2.9426477141156462e-05 loss: 0.0641 (0.0723) loss_seg: 0.0692 (0.0778) loss_lansim: 0.1002 (0.1064) loss_contra: 0.0002 (0.0054) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [17] [4260/5278] eta: 0:42:58 lr: 2.9424216319556263e-05 loss: 0.0641 (0.0723) loss_seg: 0.0692 (0.0778) loss_lansim: 0.1006 (0.1064) loss_contra: 0.0002 (0.0054) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [17] [4270/5278] eta: 0:42:33 lr: 2.9421955478654667e-05 loss: 0.0641 (0.0723) loss_seg: 0.0690 (0.0778) loss_lansim: 0.1006 (0.1064) loss_contra: 0.0002 (0.0055) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [17] [4280/5278] eta: 0:42:08 lr: 2.941969461844985e-05 loss: 0.0659 (0.0725) loss_seg: 0.0702 (0.0780) loss_lansim: 0.0999 (0.1064) loss_contra: 0.0002 (0.0055) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [17] [4290/5278] eta: 0:41:42 lr: 2.9417433738940007e-05 loss: 0.0656 (0.0725) loss_seg: 0.0692 (0.0779) loss_lansim: 0.0999 (0.1064) loss_contra: 0.0002 (0.0055) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [17] [4300/5278] eta: 0:41:17 lr: 2.9415172840123323e-05 loss: 0.0637 (0.0725) loss_seg: 0.0663 (0.0780) loss_lansim: 0.1004 (0.1064) loss_contra: 0.0002 (0.0055) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [17] [4310/5278] eta: 0:40:52 lr: 2.9412911921997976e-05 loss: 0.0641 (0.0724) loss_seg: 0.0663 (0.0779) loss_lansim: 0.1007 (0.1064) loss_contra: 0.0002 (0.0055) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [17] [4320/5278] eta: 0:40:26 lr: 2.9410650984562166e-05 loss: 0.0662 (0.0725) loss_seg: 0.0702 (0.0780) loss_lansim: 0.1007 (0.1064) loss_contra: 0.0002 (0.0055) time: 2.5238 data: 0.0026 max mem: 31671 Epoch: [17] [4330/5278] eta: 0:40:01 lr: 2.940839002781407e-05 loss: 0.0673 (0.0725) loss_seg: 0.0716 (0.0780) loss_lansim: 0.1007 (0.1063) loss_contra: 0.0002 (0.0055) time: 2.5356 data: 0.0026 max mem: 31671 Epoch: [17] [4340/5278] eta: 0:39:36 lr: 2.940612905175187e-05 loss: 0.0654 (0.0725) loss_seg: 0.0688 (0.0780) loss_lansim: 0.0992 (0.1063) loss_contra: 0.0002 (0.0055) time: 2.5346 data: 0.0026 max mem: 31671 Epoch: [17] [4350/5278] eta: 0:39:10 lr: 2.9403868056373763e-05 loss: 0.0654 (0.0725) loss_seg: 0.0702 (0.0780) loss_lansim: 0.0974 (0.1063) loss_contra: 0.0001 (0.0055) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [17] [4360/5278] eta: 0:38:45 lr: 2.9401607041677913e-05 loss: 0.0661 (0.0725) loss_seg: 0.0715 (0.0780) loss_lansim: 0.0967 (0.1063) loss_contra: 0.0001 (0.0055) time: 2.5313 data: 0.0026 max mem: 31671 Epoch: [17] [4370/5278] eta: 0:38:20 lr: 2.9399346007662532e-05 loss: 0.0661 (0.0725) loss_seg: 0.0715 (0.0780) loss_lansim: 0.0974 (0.1063) loss_contra: 0.0001 (0.0055) time: 2.5234 data: 0.0026 max mem: 31671 Epoch: [17] [4380/5278] eta: 0:37:54 lr: 2.9397084954325784e-05 loss: 0.0653 (0.0725) loss_seg: 0.0688 (0.0780) loss_lansim: 0.0959 (0.1062) loss_contra: 0.0002 (0.0055) time: 2.5288 data: 0.0026 max mem: 31671 Epoch: [17] [4390/5278] eta: 0:37:29 lr: 2.9394823881665856e-05 loss: 0.0634 (0.0724) loss_seg: 0.0688 (0.0779) loss_lansim: 0.0952 (0.1062) loss_contra: 0.0001 (0.0055) time: 2.5324 data: 0.0026 max mem: 31671 Epoch: [17] [4400/5278] eta: 0:37:03 lr: 2.9392562789680943e-05 loss: 0.0634 (0.0725) loss_seg: 0.0688 (0.0780) loss_lansim: 0.0946 (0.1062) loss_contra: 0.0001 (0.0055) time: 2.5299 data: 0.0026 max mem: 31671 Epoch: [17] [4410/5278] eta: 0:36:38 lr: 2.9390301678369207e-05 loss: 0.0639 (0.0725) loss_seg: 0.0698 (0.0779) loss_lansim: 0.0949 (0.1062) loss_contra: 0.0001 (0.0055) time: 2.5214 data: 0.0026 max mem: 31671 Epoch: [17] [4420/5278] eta: 0:36:13 lr: 2.9388040547728844e-05 loss: 0.0634 (0.0725) loss_seg: 0.0688 (0.0779) loss_lansim: 0.0946 (0.1061) loss_contra: 0.0001 (0.0055) time: 2.5189 data: 0.0026 max mem: 31671 Epoch: [17] [4430/5278] eta: 0:35:47 lr: 2.9385779397758044e-05 loss: 0.0583 (0.0724) loss_seg: 0.0623 (0.0779) loss_lansim: 0.0949 (0.1061) loss_contra: 0.0001 (0.0055) time: 2.5032 data: 0.0026 max mem: 31671 Epoch: [17] [4440/5278] eta: 0:35:22 lr: 2.938351822845497e-05 loss: 0.0583 (0.0724) loss_seg: 0.0624 (0.0779) loss_lansim: 0.0959 (0.1061) loss_contra: 0.0001 (0.0055) time: 2.5084 data: 0.0026 max mem: 31671 Epoch: [17] [4450/5278] eta: 0:34:57 lr: 2.9381257039817818e-05 loss: 0.0576 (0.0724) loss_seg: 0.0624 (0.0779) loss_lansim: 0.0961 (0.1061) loss_contra: 0.0001 (0.0055) time: 2.5038 data: 0.0025 max mem: 31671 Epoch: [17] [4460/5278] eta: 0:34:31 lr: 2.9378995831844763e-05 loss: 0.0594 (0.0725) loss_seg: 0.0650 (0.0780) loss_lansim: 0.0959 (0.1061) loss_contra: 0.0001 (0.0055) time: 2.5127 data: 0.0025 max mem: 31671 Epoch: [17] [4470/5278] eta: 0:34:06 lr: 2.9376734604533983e-05 loss: 0.0625 (0.0725) loss_seg: 0.0671 (0.0780) loss_lansim: 0.0953 (0.1060) loss_contra: 0.0000 (0.0055) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [17] [4480/5278] eta: 0:33:41 lr: 2.9374473357883676e-05 loss: 0.0600 (0.0725) loss_seg: 0.0662 (0.0780) loss_lansim: 0.0959 (0.1060) loss_contra: 0.0000 (0.0055) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [17] [4490/5278] eta: 0:33:16 lr: 2.9372212091891998e-05 loss: 0.0637 (0.0725) loss_seg: 0.0698 (0.0780) loss_lansim: 0.0959 (0.1060) loss_contra: 0.0000 (0.0055) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [17] [4500/5278] eta: 0:32:50 lr: 2.9369950806557144e-05 loss: 0.0663 (0.0725) loss_seg: 0.0716 (0.0780) loss_lansim: 0.0974 (0.1060) loss_contra: 0.0001 (0.0054) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [17] [4510/5278] eta: 0:32:25 lr: 2.9367689501877297e-05 loss: 0.0665 (0.0725) loss_seg: 0.0717 (0.0780) loss_lansim: 0.0959 (0.1060) loss_contra: 0.0000 (0.0054) time: 2.5514 data: 0.0025 max mem: 31671 Epoch: [17] [4520/5278] eta: 0:32:00 lr: 2.936542817785062e-05 loss: 0.0665 (0.0725) loss_seg: 0.0731 (0.0780) loss_lansim: 0.0953 (0.1060) loss_contra: 0.0000 (0.0054) time: 2.5495 data: 0.0025 max mem: 31671 Epoch: [17] [4530/5278] eta: 0:31:34 lr: 2.936316683447531e-05 loss: 0.0726 (0.0725) loss_seg: 0.0783 (0.0780) loss_lansim: 0.0953 (0.1059) loss_contra: 0.0001 (0.0054) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [17] [4540/5278] eta: 0:31:09 lr: 2.9360905471749534e-05 loss: 0.0720 (0.0726) loss_seg: 0.0783 (0.0781) loss_lansim: 0.0978 (0.1059) loss_contra: 0.0001 (0.0054) time: 2.5501 data: 0.0025 max mem: 31671 Epoch: [17] [4550/5278] eta: 0:30:44 lr: 2.9358644089671472e-05 loss: 0.0726 (0.0726) loss_seg: 0.0797 (0.0781) loss_lansim: 0.0989 (0.1060) loss_contra: 0.0001 (0.0054) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [17] [4560/5278] eta: 0:30:18 lr: 2.9356382688239308e-05 loss: 0.0720 (0.0726) loss_seg: 0.0778 (0.0781) loss_lansim: 0.0997 (0.1060) loss_contra: 0.0001 (0.0054) time: 2.5474 data: 0.0025 max mem: 31671 Epoch: [17] [4570/5278] eta: 0:29:53 lr: 2.9354121267451214e-05 loss: 0.0695 (0.0726) loss_seg: 0.0731 (0.0781) loss_lansim: 0.1003 (0.1060) loss_contra: 0.0001 (0.0054) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [17] [4580/5278] eta: 0:29:28 lr: 2.935185982730537e-05 loss: 0.0692 (0.0726) loss_seg: 0.0717 (0.0781) loss_lansim: 0.1007 (0.1060) loss_contra: 0.0001 (0.0054) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [17] [4590/5278] eta: 0:29:02 lr: 2.9349598367799956e-05 loss: 0.0696 (0.0726) loss_seg: 0.0751 (0.0781) loss_lansim: 0.1006 (0.1059) loss_contra: 0.0001 (0.0054) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [17] [4600/5278] eta: 0:28:37 lr: 2.934733688893314e-05 loss: 0.0696 (0.0727) loss_seg: 0.0751 (0.0782) loss_lansim: 0.1008 (0.1060) loss_contra: 0.0001 (0.0054) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [17] [4610/5278] eta: 0:28:12 lr: 2.9345075390703115e-05 loss: 0.0641 (0.0726) loss_seg: 0.0676 (0.0781) loss_lansim: 0.1013 (0.1059) loss_contra: 0.0001 (0.0054) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [17] [4620/5278] eta: 0:27:47 lr: 2.934281387310804e-05 loss: 0.0636 (0.0726) loss_seg: 0.0676 (0.0781) loss_lansim: 0.1015 (0.1059) loss_contra: 0.0001 (0.0054) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [17] [4630/5278] eta: 0:27:21 lr: 2.9340552336146093e-05 loss: 0.0641 (0.0727) loss_seg: 0.0702 (0.0782) loss_lansim: 0.1015 (0.1059) loss_contra: 0.0001 (0.0054) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [17] [4640/5278] eta: 0:26:56 lr: 2.9338290779815458e-05 loss: 0.0636 (0.0726) loss_seg: 0.0676 (0.0781) loss_lansim: 0.1008 (0.1059) loss_contra: 0.0001 (0.0054) time: 2.5555 data: 0.0025 max mem: 31671 Epoch: [17] [4650/5278] eta: 0:26:31 lr: 2.9336029204114297e-05 loss: 0.0609 (0.0726) loss_seg: 0.0673 (0.0781) loss_lansim: 0.0998 (0.1059) loss_contra: 0.0001 (0.0053) time: 2.5651 data: 0.0024 max mem: 31671 Epoch: [17] [4660/5278] eta: 0:26:05 lr: 2.933376760904081e-05 loss: 0.0645 (0.0726) loss_seg: 0.0676 (0.0781) loss_lansim: 0.0991 (0.1059) loss_contra: 0.0001 (0.0053) time: 2.5544 data: 0.0025 max mem: 31671 Epoch: [17] [4670/5278] eta: 0:25:40 lr: 2.933150599459314e-05 loss: 0.0647 (0.0726) loss_seg: 0.0702 (0.0781) loss_lansim: 0.0992 (0.1059) loss_contra: 0.0001 (0.0053) time: 2.5524 data: 0.0024 max mem: 31671 Epoch: [17] [4680/5278] eta: 0:25:15 lr: 2.932924436076948e-05 loss: 0.0651 (0.0726) loss_seg: 0.0716 (0.0781) loss_lansim: 0.0990 (0.1059) loss_contra: 0.0001 (0.0053) time: 2.5516 data: 0.0024 max mem: 31671 Epoch: [17] [4690/5278] eta: 0:24:49 lr: 2.9326982707568003e-05 loss: 0.0617 (0.0726) loss_seg: 0.0669 (0.0781) loss_lansim: 0.0990 (0.1059) loss_contra: 0.0001 (0.0053) time: 2.5523 data: 0.0024 max mem: 31671 Epoch: [17] [4700/5278] eta: 0:24:24 lr: 2.932472103498688e-05 loss: 0.0636 (0.0727) loss_seg: 0.0673 (0.0782) loss_lansim: 0.0979 (0.1058) loss_contra: 0.0001 (0.0053) time: 2.5394 data: 0.0024 max mem: 31671 Epoch: [17] [4710/5278] eta: 0:23:59 lr: 2.9322459343024278e-05 loss: 0.0647 (0.0727) loss_seg: 0.0702 (0.0782) loss_lansim: 0.0979 (0.1058) loss_contra: 0.0001 (0.0053) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [17] [4720/5278] eta: 0:23:33 lr: 2.932019763167838e-05 loss: 0.0647 (0.0726) loss_seg: 0.0703 (0.0782) loss_lansim: 0.0976 (0.1058) loss_contra: 0.0001 (0.0053) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [17] [4730/5278] eta: 0:23:08 lr: 2.9317935900947345e-05 loss: 0.0629 (0.0727) loss_seg: 0.0676 (0.0782) loss_lansim: 0.0982 (0.1058) loss_contra: 0.0001 (0.0053) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [17] [4740/5278] eta: 0:22:43 lr: 2.9315674150829368e-05 loss: 0.0647 (0.0727) loss_seg: 0.0703 (0.0782) loss_lansim: 0.0985 (0.1058) loss_contra: 0.0001 (0.0053) time: 2.5361 data: 0.0026 max mem: 31671 Epoch: [17] [4750/5278] eta: 0:22:17 lr: 2.9313412381322604e-05 loss: 0.0651 (0.0728) loss_seg: 0.0713 (0.0783) loss_lansim: 0.0985 (0.1058) loss_contra: 0.0001 (0.0053) time: 2.5362 data: 0.0026 max mem: 31671 Epoch: [17] [4760/5278] eta: 0:21:52 lr: 2.931115059242522e-05 loss: 0.0643 (0.0728) loss_seg: 0.0703 (0.0783) loss_lansim: 0.0996 (0.1057) loss_contra: 0.0001 (0.0052) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [17] [4770/5278] eta: 0:21:27 lr: 2.93088887841354e-05 loss: 0.0665 (0.0728) loss_seg: 0.0720 (0.0783) loss_lansim: 0.0984 (0.1057) loss_contra: 0.0001 (0.0052) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [17] [4780/5278] eta: 0:21:02 lr: 2.930662695645131e-05 loss: 0.0640 (0.0727) loss_seg: 0.0696 (0.0782) loss_lansim: 0.1002 (0.1057) loss_contra: 0.0001 (0.0052) time: 2.5616 data: 0.0026 max mem: 31671 Epoch: [17] [4790/5278] eta: 0:20:36 lr: 2.9304365109371118e-05 loss: 0.0635 (0.0727) loss_seg: 0.0680 (0.0782) loss_lansim: 0.1004 (0.1057) loss_contra: 0.0001 (0.0052) time: 2.5515 data: 0.0026 max mem: 31671 Epoch: [17] [4800/5278] eta: 0:20:11 lr: 2.9302103242893003e-05 loss: 0.0616 (0.0727) loss_seg: 0.0676 (0.0782) loss_lansim: 0.0998 (0.1057) loss_contra: 0.0001 (0.0052) time: 2.5669 data: 0.0026 max mem: 31671 Epoch: [17] [4810/5278] eta: 0:19:46 lr: 2.9299841357015113e-05 loss: 0.0629 (0.0727) loss_seg: 0.0676 (0.0782) loss_lansim: 0.0987 (0.1057) loss_contra: 0.0001 (0.0052) time: 2.5698 data: 0.0026 max mem: 31671 Epoch: [17] [4820/5278] eta: 0:19:20 lr: 2.9297579451735645e-05 loss: 0.0614 (0.0727) loss_seg: 0.0666 (0.0782) loss_lansim: 0.1002 (0.1057) loss_contra: 0.0001 (0.0052) time: 2.5751 data: 0.0026 max mem: 31671 Epoch: [17] [4830/5278] eta: 0:18:55 lr: 2.9295317527052757e-05 loss: 0.0614 (0.0727) loss_seg: 0.0676 (0.0782) loss_lansim: 0.1002 (0.1056) loss_contra: 0.0001 (0.0052) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [17] [4840/5278] eta: 0:18:29 lr: 2.929305558296461e-05 loss: 0.0614 (0.0727) loss_seg: 0.0638 (0.0782) loss_lansim: 0.0998 (0.1056) loss_contra: 0.0001 (0.0052) time: 2.5612 data: 0.0025 max mem: 31671 Epoch: [17] [4850/5278] eta: 0:18:04 lr: 2.9290793619469386e-05 loss: 0.0571 (0.0727) loss_seg: 0.0628 (0.0782) loss_lansim: 0.0998 (0.1056) loss_contra: 0.0001 (0.0052) time: 2.5626 data: 0.0025 max mem: 31671 Epoch: [17] [4860/5278] eta: 0:17:39 lr: 2.928853163656524e-05 loss: 0.0570 (0.0726) loss_seg: 0.0618 (0.0781) loss_lansim: 0.0988 (0.1056) loss_contra: 0.0001 (0.0052) time: 2.5704 data: 0.0025 max mem: 31671 Epoch: [17] [4870/5278] eta: 0:17:14 lr: 2.9286269634250352e-05 loss: 0.0566 (0.0726) loss_seg: 0.0599 (0.0781) loss_lansim: 0.0987 (0.1056) loss_contra: 0.0001 (0.0052) time: 2.5624 data: 0.0025 max mem: 31671 Epoch: [17] [4880/5278] eta: 0:16:48 lr: 2.9284007612522886e-05 loss: 0.0589 (0.0726) loss_seg: 0.0618 (0.0781) loss_lansim: 0.0970 (0.1055) loss_contra: 0.0001 (0.0052) time: 2.5537 data: 0.0024 max mem: 31671 Epoch: [17] [4890/5278] eta: 0:16:23 lr: 2.9281745571381004e-05 loss: 0.0589 (0.0726) loss_seg: 0.0628 (0.0781) loss_lansim: 0.0942 (0.1055) loss_contra: 0.0001 (0.0052) time: 2.5572 data: 0.0025 max mem: 31671 Epoch: [17] [4900/5278] eta: 0:15:58 lr: 2.927948351082288e-05 loss: 0.0592 (0.0727) loss_seg: 0.0638 (0.0782) loss_lansim: 0.0932 (0.1055) loss_contra: 0.0001 (0.0052) time: 2.5536 data: 0.0025 max mem: 31671 Epoch: [17] [4910/5278] eta: 0:15:32 lr: 2.9277221430846675e-05 loss: 0.0598 (0.0727) loss_seg: 0.0645 (0.0782) loss_lansim: 0.0932 (0.1055) loss_contra: 0.0001 (0.0053) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [17] [4920/5278] eta: 0:15:07 lr: 2.9274959331450553e-05 loss: 0.0609 (0.0727) loss_seg: 0.0651 (0.0782) loss_lansim: 0.0932 (0.1055) loss_contra: 0.0001 (0.0054) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [17] [4930/5278] eta: 0:14:42 lr: 2.9272697212632687e-05 loss: 0.0608 (0.0727) loss_seg: 0.0638 (0.0782) loss_lansim: 0.0922 (0.1054) loss_contra: 0.0001 (0.0055) time: 2.5600 data: 0.0025 max mem: 31671 Epoch: [17] [4940/5278] eta: 0:14:16 lr: 2.927043507439124e-05 loss: 0.0609 (0.0728) loss_seg: 0.0655 (0.0783) loss_lansim: 0.0915 (0.1054) loss_contra: 0.0001 (0.0055) time: 2.5654 data: 0.0025 max mem: 31671 Epoch: [17] [4950/5278] eta: 0:13:51 lr: 2.9268172916724377e-05 loss: 0.0609 (0.0727) loss_seg: 0.0655 (0.0782) loss_lansim: 0.0914 (0.1054) loss_contra: 0.0001 (0.0055) time: 2.5650 data: 0.0025 max mem: 31671 Epoch: [17] [4960/5278] eta: 0:13:26 lr: 2.9265910739630265e-05 loss: 0.0618 (0.0727) loss_seg: 0.0651 (0.0782) loss_lansim: 0.0912 (0.1053) loss_contra: 0.0002 (0.0055) time: 2.5722 data: 0.0025 max mem: 31671 Epoch: [17] [4970/5278] eta: 0:13:00 lr: 2.9263648543107063e-05 loss: 0.0660 (0.0727) loss_seg: 0.0711 (0.0782) loss_lansim: 0.0918 (0.1053) loss_contra: 0.0002 (0.0055) time: 2.5702 data: 0.0025 max mem: 31671 Epoch: [17] [4980/5278] eta: 0:12:35 lr: 2.9261386327152946e-05 loss: 0.0664 (0.0728) loss_seg: 0.0711 (0.0783) loss_lansim: 0.0919 (0.1053) loss_contra: 0.0002 (0.0056) time: 2.5765 data: 0.0025 max mem: 31671 Epoch: [17] [4990/5278] eta: 0:12:10 lr: 2.9259124091766067e-05 loss: 0.0660 (0.0728) loss_seg: 0.0711 (0.0783) loss_lansim: 0.0921 (0.1053) loss_contra: 0.0002 (0.0056) time: 2.5918 data: 0.0025 max mem: 31671 Epoch: [17] [5000/5278] eta: 0:11:45 lr: 2.925686183694459e-05 loss: 0.0664 (0.0728) loss_seg: 0.0717 (0.0783) loss_lansim: 0.0925 (0.1052) loss_contra: 0.0002 (0.0056) time: 2.6028 data: 0.0025 max mem: 31671 Epoch: [17] [5010/5278] eta: 0:11:19 lr: 2.9254599562686684e-05 loss: 0.0656 (0.0728) loss_seg: 0.0717 (0.0783) loss_lansim: 0.0899 (0.1052) loss_contra: 0.0002 (0.0056) time: 2.6037 data: 0.0025 max mem: 31671 Epoch: [17] [5020/5278] eta: 0:10:54 lr: 2.925233726899051e-05 loss: 0.0619 (0.0727) loss_seg: 0.0684 (0.0782) loss_lansim: 0.0885 (0.1052) loss_contra: 0.0002 (0.0055) time: 2.6139 data: 0.0024 max mem: 31671 Epoch: [17] [5030/5278] eta: 0:10:29 lr: 2.9250074955854233e-05 loss: 0.0648 (0.0728) loss_seg: 0.0697 (0.0783) loss_lansim: 0.0885 (0.1051) loss_contra: 0.0002 (0.0055) time: 2.6181 data: 0.0024 max mem: 31671 Epoch: [17] [5040/5278] eta: 0:10:03 lr: 2.9247812623276005e-05 loss: 0.0648 (0.0728) loss_seg: 0.0697 (0.0783) loss_lansim: 0.0887 (0.1051) loss_contra: 0.0002 (0.0055) time: 2.6132 data: 0.0024 max mem: 31671 Epoch: [17] [5050/5278] eta: 0:09:38 lr: 2.9245550271254e-05 loss: 0.0648 (0.0728) loss_seg: 0.0703 (0.0783) loss_lansim: 0.0887 (0.1051) loss_contra: 0.0002 (0.0055) time: 2.6086 data: 0.0024 max mem: 31671 Epoch: [17] [5060/5278] eta: 0:09:12 lr: 2.9243287899786382e-05 loss: 0.0664 (0.0728) loss_seg: 0.0706 (0.0783) loss_lansim: 0.0880 (0.1050) loss_contra: 0.0002 (0.0056) time: 2.5960 data: 0.0024 max mem: 31671 Epoch: [17] [5070/5278] eta: 0:08:47 lr: 2.9241025508871294e-05 loss: 0.0635 (0.0727) loss_seg: 0.0697 (0.0783) loss_lansim: 0.0865 (0.1050) loss_contra: 0.0001 (0.0056) time: 2.5955 data: 0.0024 max mem: 31671 Epoch: [17] [5080/5278] eta: 0:08:22 lr: 2.9238763098506917e-05 loss: 0.0563 (0.0727) loss_seg: 0.0609 (0.0782) loss_lansim: 0.0857 (0.1049) loss_contra: 0.0001 (0.0056) time: 2.5932 data: 0.0024 max mem: 31671 Epoch: [17] [5090/5278] eta: 0:07:56 lr: 2.9236500668691397e-05 loss: 0.0586 (0.0727) loss_seg: 0.0622 (0.0783) loss_lansim: 0.0859 (0.1049) loss_contra: 0.0001 (0.0055) time: 2.5869 data: 0.0024 max mem: 31671 Epoch: [17] [5100/5278] eta: 0:07:31 lr: 2.9234238219422905e-05 loss: 0.0563 (0.0727) loss_seg: 0.0609 (0.0782) loss_lansim: 0.0842 (0.1049) loss_contra: 0.0001 (0.0055) time: 2.5701 data: 0.0024 max mem: 31671 Epoch: [17] [5110/5278] eta: 0:07:06 lr: 2.9231975750699598e-05 loss: 0.0581 (0.0727) loss_seg: 0.0609 (0.0782) loss_lansim: 0.0852 (0.1048) loss_contra: 0.0001 (0.0056) time: 2.5690 data: 0.0024 max mem: 31671 Epoch: [17] [5120/5278] eta: 0:06:40 lr: 2.9229713262519625e-05 loss: 0.0586 (0.0727) loss_seg: 0.0631 (0.0782) loss_lansim: 0.0856 (0.1048) loss_contra: 0.0001 (0.0055) time: 2.5642 data: 0.0025 max mem: 31671 Epoch: [17] [5130/5278] eta: 0:06:15 lr: 2.9227450754881157e-05 loss: 0.0549 (0.0727) loss_seg: 0.0602 (0.0783) loss_lansim: 0.0857 (0.1048) loss_contra: 0.0001 (0.0055) time: 2.5639 data: 0.0025 max mem: 31671 Epoch: [17] [5140/5278] eta: 0:05:50 lr: 2.922518822778236e-05 loss: 0.0549 (0.0727) loss_seg: 0.0602 (0.0783) loss_lansim: 0.0856 (0.1047) loss_contra: 0.0001 (0.0055) time: 2.5774 data: 0.0025 max mem: 31671 Epoch: [17] [5150/5278] eta: 0:05:24 lr: 2.922292568122137e-05 loss: 0.0578 (0.0727) loss_seg: 0.0602 (0.0782) loss_lansim: 0.0845 (0.1047) loss_contra: 0.0001 (0.0055) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [17] [5160/5278] eta: 0:04:59 lr: 2.9220663115196367e-05 loss: 0.0578 (0.0727) loss_seg: 0.0602 (0.0782) loss_lansim: 0.0855 (0.1047) loss_contra: 0.0001 (0.0055) time: 2.5723 data: 0.0025 max mem: 31671 Epoch: [17] [5170/5278] eta: 0:04:33 lr: 2.9218400529705492e-05 loss: 0.0578 (0.0727) loss_seg: 0.0606 (0.0782) loss_lansim: 0.0856 (0.1046) loss_contra: 0.0001 (0.0055) time: 2.5647 data: 0.0025 max mem: 31671 Epoch: [17] [5180/5278] eta: 0:04:08 lr: 2.9216137924746917e-05 loss: 0.0592 (0.0726) loss_seg: 0.0655 (0.0782) loss_lansim: 0.0862 (0.1046) loss_contra: 0.0001 (0.0055) time: 2.5671 data: 0.0025 max mem: 31671 Epoch: [17] [5190/5278] eta: 0:03:43 lr: 2.9213875300318794e-05 loss: 0.0583 (0.0726) loss_seg: 0.0642 (0.0781) loss_lansim: 0.0860 (0.1046) loss_contra: 0.0001 (0.0056) time: 2.5699 data: 0.0025 max mem: 31671 Epoch: [17] [5200/5278] eta: 0:03:17 lr: 2.9211612656419275e-05 loss: 0.0597 (0.0727) loss_seg: 0.0656 (0.0782) loss_lansim: 0.0879 (0.1046) loss_contra: 0.0001 (0.0056) time: 2.5718 data: 0.0025 max mem: 31671 Epoch: [17] [5210/5278] eta: 0:02:52 lr: 2.920934999304652e-05 loss: 0.0597 (0.0727) loss_seg: 0.0656 (0.0782) loss_lansim: 0.0889 (0.1045) loss_contra: 0.0001 (0.0056) time: 2.5711 data: 0.0025 max mem: 31671 Epoch: [17] [5220/5278] eta: 0:02:27 lr: 2.9207087310198693e-05 loss: 0.0606 (0.0727) loss_seg: 0.0670 (0.0783) loss_lansim: 0.0889 (0.1045) loss_contra: 0.0001 (0.0056) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [17] [5230/5278] eta: 0:02:01 lr: 2.920482460787393e-05 loss: 0.0603 (0.0727) loss_seg: 0.0666 (0.0783) loss_lansim: 0.0897 (0.1045) loss_contra: 0.0001 (0.0056) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [17] [5240/5278] eta: 0:01:36 lr: 2.9202561886070413e-05 loss: 0.0609 (0.0727) loss_seg: 0.0671 (0.0782) loss_lansim: 0.0897 (0.1045) loss_contra: 0.0001 (0.0056) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [17] [5250/5278] eta: 0:01:11 lr: 2.9200299144786275e-05 loss: 0.0606 (0.0727) loss_seg: 0.0670 (0.0782) loss_lansim: 0.0919 (0.1044) loss_contra: 0.0001 (0.0056) time: 2.5551 data: 0.0025 max mem: 31671 Epoch: [17] [5260/5278] eta: 0:00:45 lr: 2.9198036384019682e-05 loss: 0.0614 (0.0727) loss_seg: 0.0674 (0.0782) loss_lansim: 0.0912 (0.1044) loss_contra: 0.0001 (0.0056) time: 2.5576 data: 0.0025 max mem: 31671 Epoch: [17] [5270/5278] eta: 0:00:20 lr: 2.9195773603768793e-05 loss: 0.0630 (0.0728) loss_seg: 0.0674 (0.0783) loss_lansim: 0.0916 (0.1044) loss_contra: 0.0001 (0.0056) time: 2.5665 data: 0.0025 max mem: 31671 Epoch: [17] Total time: 3:43:14 Test: [ 0/2573] eta: 1:47:25 time: 2.5051 data: 2.2562 max mem: 31671 Test: [ 100/2573] eta: 0:06:50 time: 0.1427 data: 0.0016 max mem: 31671 Test: [ 200/2573] eta: 0:06:13 time: 0.1483 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:46 time: 0.1429 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:26 time: 0.1443 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:10 time: 0.1462 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:54 time: 0.1488 data: 0.0016 max mem: 31671 Test: [ 700/2573] eta: 0:04:39 time: 0.1496 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:24 time: 0.1470 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:09 time: 0.1473 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:53 time: 0.1462 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:38 time: 0.1470 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:23 time: 0.1483 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:08 time: 0.1474 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:53 time: 0.1431 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1485 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1458 data: 0.0017 max mem: 31671 Test: [1700/2573] eta: 0:02:09 time: 0.1467 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1449 data: 0.0017 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1418 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1428 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1465 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1407 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1479 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1455 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:11 time: 0.3550 data: 0.0036 max mem: 31671 Test: Total time: 0:06:38 Final results: precision@0.5 = 67.12 precision@0.6 = 61.01 precision@0.7 = 54.04 precision@0.8 = 42.38 precision@0.9 = 19.49 overall IoU = 57.78 mean IoU = 59.89 Average object IoU 0.5988967109381785 Overall IoU 57.78327446186233 Better epoch: 17 The best_performance is 57.78327446186233 Epoch: [18] [ 0/5278] eta: 6:13:07 lr: 2.919396336553814e-05 loss: 0.0383 (0.0383) loss_seg: 0.0376 (0.0376) loss_lansim: 0.0716 (0.0716) loss_contra: 0.0030 (0.0030) time: 4.2416 data: 1.4807 max mem: 31671 Epoch: [18] [ 10/5278] eta: 4:00:30 lr: 2.9191700550210844e-05 loss: 0.0516 (0.0510) loss_seg: 0.0515 (0.0539) loss_lansim: 0.0824 (0.0893) loss_contra: 0.0001 (0.0007) time: 2.7392 data: 0.1367 max mem: 31671 Epoch: [18] [ 20/5278] eta: 3:48:52 lr: 2.9189437715394086e-05 loss: 0.0524 (0.0522) loss_seg: 0.0570 (0.0556) loss_lansim: 0.0824 (0.0874) loss_contra: 0.0001 (0.0005) time: 2.6118 data: 0.0726 max mem: 31671 Epoch: [18] [ 30/5278] eta: 3:46:06 lr: 2.9187174861086003e-05 loss: 0.0516 (0.0559) loss_seg: 0.0540 (0.0599) loss_lansim: 0.0843 (0.0882) loss_contra: 0.0001 (0.0004) time: 2.5851 data: 0.0499 max mem: 31671 Epoch: [18] [ 40/5278] eta: 3:44:53 lr: 2.9184911987284757e-05 loss: 0.0519 (0.0580) loss_seg: 0.0570 (0.0626) loss_lansim: 0.0874 (0.0899) loss_contra: 0.0001 (0.0007) time: 2.5762 data: 0.0383 max mem: 31671 Epoch: [18] [ 50/5278] eta: 3:45:01 lr: 2.9182649093988502e-05 loss: 0.0529 (0.0613) loss_seg: 0.0583 (0.0658) loss_lansim: 0.0887 (0.0896) loss_contra: 0.0001 (0.0008) time: 2.5826 data: 0.0313 max mem: 31671 Epoch: [18] [ 60/5278] eta: 3:45:11 lr: 2.9180386181195385e-05 loss: 0.0529 (0.0621) loss_seg: 0.0583 (0.0666) loss_lansim: 0.0891 (0.0910) loss_contra: 0.0001 (0.0012) time: 2.5893 data: 0.0265 max mem: 31671 Epoch: [18] [ 70/5278] eta: 3:43:28 lr: 2.917812324890356e-05 loss: 0.0529 (0.0627) loss_seg: 0.0583 (0.0669) loss_lansim: 0.0916 (0.0927) loss_contra: 0.0001 (0.0011) time: 2.5746 data: 0.0232 max mem: 31671 Epoch: [18] [ 80/5278] eta: 3:43:22 lr: 2.9175860297111176e-05 loss: 0.0543 (0.0636) loss_seg: 0.0589 (0.0681) loss_lansim: 0.0900 (0.0922) loss_contra: 0.0001 (0.0010) time: 2.5784 data: 0.0206 max mem: 31671 Epoch: [18] [ 90/5278] eta: 3:42:39 lr: 2.9173597325816386e-05 loss: 0.0555 (0.0642) loss_seg: 0.0599 (0.0689) loss_lansim: 0.0891 (0.0918) loss_contra: 0.0001 (0.0010) time: 2.5751 data: 0.0186 max mem: 31671 Epoch: [18] [ 100/5278] eta: 3:41:36 lr: 2.9171334335017353e-05 loss: 0.0554 (0.0656) loss_seg: 0.0597 (0.0702) loss_lansim: 0.0904 (0.0924) loss_contra: 0.0001 (0.0010) time: 2.5511 data: 0.0023 max mem: 31671 Epoch: [18] [ 110/5278] eta: 3:40:31 lr: 2.9169071324712204e-05 loss: 0.0564 (0.0684) loss_seg: 0.0613 (0.0732) loss_lansim: 0.0914 (0.0925) loss_contra: 0.0001 (0.0011) time: 2.5406 data: 0.0024 max mem: 31671 Epoch: [18] [ 120/5278] eta: 3:40:10 lr: 2.916680829489911e-05 loss: 0.0562 (0.0682) loss_seg: 0.0599 (0.0729) loss_lansim: 0.0934 (0.0931) loss_contra: 0.0001 (0.0010) time: 2.5506 data: 0.0024 max mem: 31671 Epoch: [18] [ 130/5278] eta: 3:39:13 lr: 2.9164545245576215e-05 loss: 0.0566 (0.0681) loss_seg: 0.0621 (0.0729) loss_lansim: 0.0934 (0.0929) loss_contra: 0.0001 (0.0010) time: 2.5458 data: 0.0024 max mem: 31671 Epoch: [18] [ 140/5278] eta: 3:38:26 lr: 2.9162282176741655e-05 loss: 0.0578 (0.0674) loss_seg: 0.0623 (0.0722) loss_lansim: 0.0920 (0.0932) loss_contra: 0.0001 (0.0010) time: 2.5406 data: 0.0024 max mem: 31671 Epoch: [18] [ 150/5278] eta: 3:37:57 lr: 2.9160019088393604e-05 loss: 0.0578 (0.0670) loss_seg: 0.0623 (0.0717) loss_lansim: 0.0920 (0.0929) loss_contra: 0.0001 (0.0010) time: 2.5336 data: 0.0024 max mem: 31671 Epoch: [18] [ 160/5278] eta: 3:37:27 lr: 2.9157755980530192e-05 loss: 0.0578 (0.0671) loss_seg: 0.0621 (0.0719) loss_lansim: 0.0915 (0.0927) loss_contra: 0.0001 (0.0009) time: 2.5251 data: 0.0024 max mem: 31671 Epoch: [18] [ 170/5278] eta: 3:36:57 lr: 2.9155492853149572e-05 loss: 0.0566 (0.0660) loss_seg: 0.0601 (0.0706) loss_lansim: 0.0898 (0.0923) loss_contra: 0.0001 (0.0009) time: 2.5299 data: 0.0024 max mem: 31671 Epoch: [18] [ 180/5278] eta: 3:36:22 lr: 2.915322970624991e-05 loss: 0.0562 (0.0692) loss_seg: 0.0603 (0.0739) loss_lansim: 0.0914 (0.0921) loss_contra: 0.0001 (0.0011) time: 2.5208 data: 0.0023 max mem: 31671 Epoch: [18] [ 190/5278] eta: 3:36:06 lr: 2.9150966539829323e-05 loss: 0.0546 (0.0684) loss_seg: 0.0589 (0.0731) loss_lansim: 0.0920 (0.0919) loss_contra: 0.0001 (0.0010) time: 2.5244 data: 0.0023 max mem: 31671 Epoch: [18] [ 200/5278] eta: 3:35:36 lr: 2.9148703353885977e-05 loss: 0.0548 (0.0686) loss_seg: 0.0595 (0.0735) loss_lansim: 0.0895 (0.0914) loss_contra: 0.0001 (0.0010) time: 2.5269 data: 0.0023 max mem: 31671 Epoch: [18] [ 210/5278] eta: 3:35:16 lr: 2.914644014841802e-05 loss: 0.0544 (0.0683) loss_seg: 0.0589 (0.0732) loss_lansim: 0.0893 (0.0913) loss_contra: 0.0001 (0.0016) time: 2.5359 data: 0.0023 max mem: 31671 Epoch: [18] [ 220/5278] eta: 3:34:43 lr: 2.914417692342358e-05 loss: 0.0546 (0.0688) loss_seg: 0.0595 (0.0736) loss_lansim: 0.0881 (0.0910) loss_contra: 0.0001 (0.0016) time: 2.5299 data: 0.0023 max mem: 31671 Epoch: [18] [ 230/5278] eta: 3:33:50 lr: 2.914191367890084e-05 loss: 0.0546 (0.0688) loss_seg: 0.0589 (0.0737) loss_lansim: 0.0849 (0.0906) loss_contra: 0.0001 (0.0016) time: 2.5240 data: 0.0023 max mem: 31671 Epoch: [18] [ 240/5278] eta: 3:33:26 lr: 2.9139650414847913e-05 loss: 0.0553 (0.0694) loss_seg: 0.0602 (0.0743) loss_lansim: 0.0842 (0.0904) loss_contra: 0.0001 (0.0017) time: 2.5294 data: 0.0023 max mem: 31671 Epoch: [18] [ 250/5278] eta: 3:32:47 lr: 2.9137387131262962e-05 loss: 0.0544 (0.0690) loss_seg: 0.0593 (0.0739) loss_lansim: 0.0825 (0.0900) loss_contra: 0.0001 (0.0017) time: 2.5229 data: 0.0023 max mem: 31671 Epoch: [18] [ 260/5278] eta: 3:32:20 lr: 2.9135123828144127e-05 loss: 0.0539 (0.0686) loss_seg: 0.0576 (0.0735) loss_lansim: 0.0829 (0.0899) loss_contra: 0.0001 (0.0016) time: 2.5221 data: 0.0023 max mem: 31671 Epoch: [18] [ 270/5278] eta: 3:32:15 lr: 2.9132860505489555e-05 loss: 0.0546 (0.0684) loss_seg: 0.0595 (0.0732) loss_lansim: 0.0840 (0.0898) loss_contra: 0.0001 (0.0016) time: 2.5337 data: 0.0024 max mem: 31671 Epoch: [18] [ 280/5278] eta: 3:31:58 lr: 2.9130597163297385e-05 loss: 0.0544 (0.0683) loss_seg: 0.0593 (0.0732) loss_lansim: 0.0839 (0.0897) loss_contra: 0.0001 (0.0016) time: 2.5411 data: 0.0024 max mem: 31671 Epoch: [18] [ 290/5278] eta: 3:31:22 lr: 2.9128333801565778e-05 loss: 0.0571 (0.0684) loss_seg: 0.0617 (0.0734) loss_lansim: 0.0834 (0.0896) loss_contra: 0.0001 (0.0017) time: 2.5310 data: 0.0024 max mem: 31671 Epoch: [18] [ 300/5278] eta: 3:31:07 lr: 2.9126070420292856e-05 loss: 0.0558 (0.0676) loss_seg: 0.0602 (0.0725) loss_lansim: 0.0848 (0.0896) loss_contra: 0.0001 (0.0024) time: 2.5392 data: 0.0024 max mem: 31671 Epoch: [18] [ 310/5278] eta: 3:30:43 lr: 2.912380701947678e-05 loss: 0.0560 (0.0677) loss_seg: 0.0612 (0.0727) loss_lansim: 0.0840 (0.0895) loss_contra: 0.0001 (0.0025) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [18] [ 320/5278] eta: 3:30:24 lr: 2.9121543599115687e-05 loss: 0.0571 (0.0677) loss_seg: 0.0617 (0.0727) loss_lansim: 0.0849 (0.0894) loss_contra: 0.0001 (0.0024) time: 2.5446 data: 0.0024 max mem: 31671 Epoch: [18] [ 330/5278] eta: 3:30:01 lr: 2.911928015920772e-05 loss: 0.0575 (0.0680) loss_seg: 0.0631 (0.0730) loss_lansim: 0.0862 (0.0895) loss_contra: 0.0001 (0.0024) time: 2.5590 data: 0.0023 max mem: 31671 Epoch: [18] [ 340/5278] eta: 3:29:27 lr: 2.9117016699751027e-05 loss: 0.0571 (0.0680) loss_seg: 0.0617 (0.0730) loss_lansim: 0.0867 (0.0894) loss_contra: 0.0001 (0.0023) time: 2.5527 data: 0.0023 max mem: 31671 Epoch: [18] [ 350/5278] eta: 3:29:07 lr: 2.9114753220743734e-05 loss: 0.0574 (0.0680) loss_seg: 0.0623 (0.0730) loss_lansim: 0.0864 (0.0894) loss_contra: 0.0001 (0.0026) time: 2.5632 data: 0.0023 max mem: 31671 Epoch: [18] [ 360/5278] eta: 3:28:33 lr: 2.911248972218401e-05 loss: 0.0575 (0.0676) loss_seg: 0.0631 (0.0726) loss_lansim: 0.0879 (0.0894) loss_contra: 0.0001 (0.0025) time: 2.5589 data: 0.0024 max mem: 31671 Epoch: [18] [ 370/5278] eta: 3:28:17 lr: 2.911022620406998e-05 loss: 0.0578 (0.0674) loss_seg: 0.0623 (0.0724) loss_lansim: 0.0872 (0.0893) loss_contra: 0.0001 (0.0029) time: 2.5551 data: 0.0023 max mem: 31671 Epoch: [18] [ 380/5278] eta: 3:27:45 lr: 2.9107962666399786e-05 loss: 0.0546 (0.0668) loss_seg: 0.0594 (0.0718) loss_lansim: 0.0886 (0.0894) loss_contra: 0.0001 (0.0028) time: 2.5462 data: 0.0023 max mem: 31671 Epoch: [18] [ 390/5278] eta: 3:27:17 lr: 2.9105699109171575e-05 loss: 0.0506 (0.0663) loss_seg: 0.0520 (0.0713) loss_lansim: 0.0872 (0.0892) loss_contra: 0.0001 (0.0028) time: 2.5503 data: 0.0024 max mem: 31671 Epoch: [18] [ 400/5278] eta: 3:27:06 lr: 2.9103435532383483e-05 loss: 0.0534 (0.0669) loss_seg: 0.0559 (0.0720) loss_lansim: 0.0879 (0.0893) loss_contra: 0.0001 (0.0027) time: 2.5559 data: 0.0024 max mem: 31671 Epoch: [18] [ 410/5278] eta: 3:26:41 lr: 2.910117193603365e-05 loss: 0.0496 (0.0664) loss_seg: 0.0520 (0.0714) loss_lansim: 0.0883 (0.0892) loss_contra: 0.0001 (0.0028) time: 2.5556 data: 0.0024 max mem: 31671 Epoch: [18] [ 420/5278] eta: 3:26:14 lr: 2.9098908320120228e-05 loss: 0.0496 (0.0666) loss_seg: 0.0520 (0.0717) loss_lansim: 0.0872 (0.0891) loss_contra: 0.0001 (0.0027) time: 2.5500 data: 0.0024 max mem: 31671 Epoch: [18] [ 430/5278] eta: 3:25:45 lr: 2.9096644684641334e-05 loss: 0.0477 (0.0663) loss_seg: 0.0509 (0.0714) loss_lansim: 0.0870 (0.0891) loss_contra: 0.0001 (0.0027) time: 2.5456 data: 0.0024 max mem: 31671 Epoch: [18] [ 440/5278] eta: 3:25:24 lr: 2.9094381029595137e-05 loss: 0.0487 (0.0664) loss_seg: 0.0513 (0.0715) loss_lansim: 0.0872 (0.0892) loss_contra: 0.0001 (0.0026) time: 2.5548 data: 0.0024 max mem: 31671 Epoch: [18] [ 450/5278] eta: 3:24:48 lr: 2.9092117354979747e-05 loss: 0.0491 (0.0664) loss_seg: 0.0537 (0.0715) loss_lansim: 0.0883 (0.0893) loss_contra: 0.0001 (0.0027) time: 2.5418 data: 0.0024 max mem: 31671 Epoch: [18] [ 460/5278] eta: 3:24:23 lr: 2.9089853660793322e-05 loss: 0.0508 (0.0665) loss_seg: 0.0558 (0.0716) loss_lansim: 0.0863 (0.0890) loss_contra: 0.0001 (0.0027) time: 2.5488 data: 0.0024 max mem: 31671 Epoch: [18] [ 470/5278] eta: 3:23:56 lr: 2.9087589947033998e-05 loss: 0.0500 (0.0663) loss_seg: 0.0546 (0.0714) loss_lansim: 0.0863 (0.0889) loss_contra: 0.0001 (0.0026) time: 2.5404 data: 0.0024 max mem: 31671 Epoch: [18] [ 480/5278] eta: 3:23:26 lr: 2.9085326213699903e-05 loss: 0.0504 (0.0661) loss_seg: 0.0557 (0.0712) loss_lansim: 0.0861 (0.0888) loss_contra: 0.0001 (0.0026) time: 2.5401 data: 0.0024 max mem: 31671 Epoch: [18] [ 490/5278] eta: 3:23:00 lr: 2.9083062460789185e-05 loss: 0.0532 (0.0659) loss_seg: 0.0569 (0.0710) loss_lansim: 0.0863 (0.0888) loss_contra: 0.0001 (0.0025) time: 2.5415 data: 0.0024 max mem: 31671 Epoch: [18] [ 500/5278] eta: 3:22:36 lr: 2.908079868829999e-05 loss: 0.0518 (0.0658) loss_seg: 0.0559 (0.0710) loss_lansim: 0.0863 (0.0888) loss_contra: 0.0001 (0.0025) time: 2.5308 data: 0.0024 max mem: 31671 Epoch: [18] [ 510/5278] eta: 3:22:08 lr: 2.9078534896230426e-05 loss: 0.0552 (0.0658) loss_seg: 0.0573 (0.0710) loss_lansim: 0.0863 (0.0887) loss_contra: 0.0001 (0.0025) time: 2.5273 data: 0.0024 max mem: 31671 Epoch: [18] [ 520/5278] eta: 3:21:29 lr: 2.9076271084578654e-05 loss: 0.0534 (0.0657) loss_seg: 0.0572 (0.0708) loss_lansim: 0.0863 (0.0887) loss_contra: 0.0001 (0.0024) time: 2.5142 data: 0.0024 max mem: 31671 Epoch: [18] [ 530/5278] eta: 3:21:02 lr: 2.9074007253342807e-05 loss: 0.0552 (0.0660) loss_seg: 0.0589 (0.0712) loss_lansim: 0.0855 (0.0887) loss_contra: 0.0001 (0.0024) time: 2.5148 data: 0.0024 max mem: 31671 Epoch: [18] [ 540/5278] eta: 3:20:37 lr: 2.9071743402521016e-05 loss: 0.0554 (0.0661) loss_seg: 0.0596 (0.0713) loss_lansim: 0.0846 (0.0886) loss_contra: 0.0001 (0.0028) time: 2.5115 data: 0.0024 max mem: 31671 Epoch: [18] [ 550/5278] eta: 3:20:04 lr: 2.9069479532111426e-05 loss: 0.0554 (0.0661) loss_seg: 0.0588 (0.0712) loss_lansim: 0.0846 (0.0887) loss_contra: 0.0001 (0.0029) time: 2.5118 data: 0.0024 max mem: 31671 Epoch: [18] [ 560/5278] eta: 3:19:37 lr: 2.906721564211216e-05 loss: 0.0550 (0.0665) loss_seg: 0.0574 (0.0716) loss_lansim: 0.0855 (0.0886) loss_contra: 0.0001 (0.0028) time: 2.5079 data: 0.0023 max mem: 31671 Epoch: [18] [ 570/5278] eta: 3:19:09 lr: 2.906495173252136e-05 loss: 0.0574 (0.0668) loss_seg: 0.0616 (0.0720) loss_lansim: 0.0851 (0.0885) loss_contra: 0.0001 (0.0028) time: 2.5059 data: 0.0024 max mem: 31671 Epoch: [18] [ 580/5278] eta: 3:18:37 lr: 2.9062687803337157e-05 loss: 0.0577 (0.0671) loss_seg: 0.0626 (0.0722) loss_lansim: 0.0851 (0.0885) loss_contra: 0.0001 (0.0030) time: 2.5014 data: 0.0023 max mem: 31671 Epoch: [18] [ 590/5278] eta: 3:18:04 lr: 2.9060423854557693e-05 loss: 0.0581 (0.0670) loss_seg: 0.0631 (0.0721) loss_lansim: 0.0872 (0.0887) loss_contra: 0.0001 (0.0029) time: 2.4914 data: 0.0023 max mem: 31671 Epoch: [18] [ 600/5278] eta: 3:17:38 lr: 2.9058159886181103e-05 loss: 0.0587 (0.0671) loss_seg: 0.0633 (0.0722) loss_lansim: 0.0868 (0.0887) loss_contra: 0.0001 (0.0030) time: 2.4891 data: 0.0024 max mem: 31671 Epoch: [18] [ 610/5278] eta: 3:17:09 lr: 2.9055895898205505e-05 loss: 0.0587 (0.0669) loss_seg: 0.0633 (0.0720) loss_lansim: 0.0874 (0.0887) loss_contra: 0.0001 (0.0029) time: 2.4856 data: 0.0024 max mem: 31671 Epoch: [18] [ 620/5278] eta: 3:16:34 lr: 2.9053631890629046e-05 loss: 0.0587 (0.0669) loss_seg: 0.0639 (0.0720) loss_lansim: 0.0882 (0.0888) loss_contra: 0.0001 (0.0030) time: 2.4868 data: 0.0024 max mem: 31671 Epoch: [18] [ 630/5278] eta: 3:16:04 lr: 2.9051367863449863e-05 loss: 0.0581 (0.0668) loss_seg: 0.0633 (0.0719) loss_lansim: 0.0879 (0.0888) loss_contra: 0.0001 (0.0030) time: 2.4811 data: 0.0024 max mem: 31671 Epoch: [18] [ 640/5278] eta: 3:15:35 lr: 2.9049103816666075e-05 loss: 0.0581 (0.0667) loss_seg: 0.0633 (0.0718) loss_lansim: 0.0885 (0.0887) loss_contra: 0.0001 (0.0030) time: 2.4739 data: 0.0023 max mem: 31671 Epoch: [18] [ 650/5278] eta: 3:15:08 lr: 2.9046839750275823e-05 loss: 0.0595 (0.0668) loss_seg: 0.0657 (0.0719) loss_lansim: 0.0884 (0.0888) loss_contra: 0.0001 (0.0030) time: 2.4795 data: 0.0023 max mem: 31671 Epoch: [18] [ 660/5278] eta: 3:14:41 lr: 2.9044575664277242e-05 loss: 0.0587 (0.0670) loss_seg: 0.0633 (0.0721) loss_lansim: 0.0885 (0.0888) loss_contra: 0.0001 (0.0029) time: 2.4785 data: 0.0023 max mem: 31671 Epoch: [18] [ 670/5278] eta: 3:14:14 lr: 2.904231155866845e-05 loss: 0.0572 (0.0668) loss_seg: 0.0623 (0.0720) loss_lansim: 0.0884 (0.0888) loss_contra: 0.0000 (0.0029) time: 2.4778 data: 0.0023 max mem: 31671 Epoch: [18] [ 680/5278] eta: 3:13:50 lr: 2.9040047433447605e-05 loss: 0.0564 (0.0669) loss_seg: 0.0617 (0.0721) loss_lansim: 0.0878 (0.0887) loss_contra: 0.0000 (0.0029) time: 2.4872 data: 0.0023 max mem: 31671 Epoch: [18] [ 690/5278] eta: 3:13:23 lr: 2.9037783288612808e-05 loss: 0.0595 (0.0671) loss_seg: 0.0657 (0.0723) loss_lansim: 0.0868 (0.0887) loss_contra: 0.0001 (0.0028) time: 2.4936 data: 0.0023 max mem: 31671 Epoch: [18] [ 700/5278] eta: 3:12:54 lr: 2.90355191241622e-05 loss: 0.0629 (0.0677) loss_seg: 0.0694 (0.0729) loss_lansim: 0.0862 (0.0887) loss_contra: 0.0001 (0.0028) time: 2.4878 data: 0.0023 max mem: 31671 Epoch: [18] [ 710/5278] eta: 3:12:29 lr: 2.9033254940093922e-05 loss: 0.0631 (0.0677) loss_seg: 0.0699 (0.0730) loss_lansim: 0.0862 (0.0887) loss_contra: 0.0001 (0.0031) time: 2.4928 data: 0.0023 max mem: 31671 Epoch: [18] [ 720/5278] eta: 3:11:59 lr: 2.9030990736406094e-05 loss: 0.0631 (0.0678) loss_seg: 0.0699 (0.0731) loss_lansim: 0.0857 (0.0887) loss_contra: 0.0001 (0.0030) time: 2.4971 data: 0.0023 max mem: 31671 Epoch: [18] [ 730/5278] eta: 3:11:35 lr: 2.902872651309685e-05 loss: 0.0642 (0.0679) loss_seg: 0.0709 (0.0732) loss_lansim: 0.0874 (0.0889) loss_contra: 0.0001 (0.0031) time: 2.5047 data: 0.0023 max mem: 31671 Epoch: [18] [ 740/5278] eta: 3:11:08 lr: 2.9026462270164316e-05 loss: 0.0629 (0.0677) loss_seg: 0.0694 (0.0729) loss_lansim: 0.0877 (0.0890) loss_contra: 0.0001 (0.0030) time: 2.5075 data: 0.0023 max mem: 31671 Epoch: [18] [ 750/5278] eta: 3:10:41 lr: 2.9024198007606617e-05 loss: 0.0603 (0.0676) loss_seg: 0.0663 (0.0729) loss_lansim: 0.0897 (0.0892) loss_contra: 0.0001 (0.0030) time: 2.5065 data: 0.0023 max mem: 31671 Epoch: [18] [ 760/5278] eta: 3:10:18 lr: 2.90219337254219e-05 loss: 0.0592 (0.0674) loss_seg: 0.0635 (0.0726) loss_lansim: 0.0876 (0.0891) loss_contra: 0.0001 (0.0030) time: 2.5122 data: 0.0024 max mem: 31671 Epoch: [18] [ 770/5278] eta: 3:09:54 lr: 2.9019669423608276e-05 loss: 0.0577 (0.0673) loss_seg: 0.0605 (0.0725) loss_lansim: 0.0876 (0.0891) loss_contra: 0.0001 (0.0030) time: 2.5171 data: 0.0024 max mem: 31671 Epoch: [18] [ 780/5278] eta: 3:09:30 lr: 2.9017405102163874e-05 loss: 0.0592 (0.0674) loss_seg: 0.0635 (0.0727) loss_lansim: 0.0899 (0.0892) loss_contra: 0.0001 (0.0029) time: 2.5183 data: 0.0024 max mem: 31671 Epoch: [18] [ 790/5278] eta: 3:09:02 lr: 2.9015140761086827e-05 loss: 0.0546 (0.0674) loss_seg: 0.0601 (0.0726) loss_lansim: 0.0900 (0.0893) loss_contra: 0.0001 (0.0029) time: 2.5155 data: 0.0024 max mem: 31671 Epoch: [18] [ 800/5278] eta: 3:08:36 lr: 2.901287640037526e-05 loss: 0.0533 (0.0673) loss_seg: 0.0588 (0.0725) loss_lansim: 0.0920 (0.0893) loss_contra: 0.0001 (0.0029) time: 2.5195 data: 0.0024 max mem: 31671 Epoch: [18] [ 810/5278] eta: 3:08:14 lr: 2.9010612020027307e-05 loss: 0.0533 (0.0676) loss_seg: 0.0588 (0.0729) loss_lansim: 0.0920 (0.0893) loss_contra: 0.0001 (0.0029) time: 2.5240 data: 0.0024 max mem: 31671 Epoch: [18] [ 820/5278] eta: 3:07:49 lr: 2.900834762004108e-05 loss: 0.0544 (0.0676) loss_seg: 0.0596 (0.0729) loss_lansim: 0.0916 (0.0894) loss_contra: 0.0001 (0.0030) time: 2.5327 data: 0.0024 max mem: 31671 Epoch: [18] [ 830/5278] eta: 3:07:27 lr: 2.9006083200414718e-05 loss: 0.0533 (0.0675) loss_seg: 0.0583 (0.0728) loss_lansim: 0.0900 (0.0893) loss_contra: 0.0001 (0.0030) time: 2.5364 data: 0.0024 max mem: 31671 Epoch: [18] [ 840/5278] eta: 3:07:01 lr: 2.9003818761146352e-05 loss: 0.0533 (0.0673) loss_seg: 0.0588 (0.0725) loss_lansim: 0.0898 (0.0894) loss_contra: 0.0001 (0.0030) time: 2.5383 data: 0.0024 max mem: 31671 Epoch: [18] [ 850/5278] eta: 3:06:38 lr: 2.9001554302234086e-05 loss: 0.0542 (0.0674) loss_seg: 0.0597 (0.0727) loss_lansim: 0.0894 (0.0894) loss_contra: 0.0001 (0.0030) time: 2.5458 data: 0.0024 max mem: 31671 Epoch: [18] [ 860/5278] eta: 3:06:11 lr: 2.8999289823676066e-05 loss: 0.0633 (0.0677) loss_seg: 0.0684 (0.0730) loss_lansim: 0.0905 (0.0895) loss_contra: 0.0001 (0.0030) time: 2.5390 data: 0.0023 max mem: 31671 Epoch: [18] [ 870/5278] eta: 3:05:44 lr: 2.8997025325470406e-05 loss: 0.0616 (0.0676) loss_seg: 0.0679 (0.0729) loss_lansim: 0.0908 (0.0895) loss_contra: 0.0001 (0.0030) time: 2.5324 data: 0.0023 max mem: 31671 Epoch: [18] [ 880/5278] eta: 3:05:19 lr: 2.899476080761523e-05 loss: 0.0616 (0.0677) loss_seg: 0.0679 (0.0730) loss_lansim: 0.0907 (0.0895) loss_contra: 0.0001 (0.0030) time: 2.5299 data: 0.0023 max mem: 31671 Epoch: [18] [ 890/5278] eta: 3:04:52 lr: 2.8992496270108676e-05 loss: 0.0591 (0.0675) loss_seg: 0.0653 (0.0728) loss_lansim: 0.0908 (0.0896) loss_contra: 0.0001 (0.0030) time: 2.5323 data: 0.0023 max mem: 31671 Epoch: [18] [ 900/5278] eta: 3:04:24 lr: 2.8990231712948852e-05 loss: 0.0591 (0.0675) loss_seg: 0.0653 (0.0727) loss_lansim: 0.0905 (0.0896) loss_contra: 0.0001 (0.0029) time: 2.5288 data: 0.0024 max mem: 31671 Epoch: [18] [ 910/5278] eta: 3:03:58 lr: 2.8987967136133886e-05 loss: 0.0591 (0.0676) loss_seg: 0.0653 (0.0729) loss_lansim: 0.0927 (0.0897) loss_contra: 0.0001 (0.0030) time: 2.5224 data: 0.0024 max mem: 31671 Epoch: [18] [ 920/5278] eta: 3:03:33 lr: 2.8985702539661907e-05 loss: 0.0588 (0.0675) loss_seg: 0.0649 (0.0728) loss_lansim: 0.0933 (0.0898) loss_contra: 0.0001 (0.0031) time: 2.5219 data: 0.0024 max mem: 31671 Epoch: [18] [ 930/5278] eta: 3:03:08 lr: 2.8983437923531026e-05 loss: 0.0591 (0.0676) loss_seg: 0.0653 (0.0728) loss_lansim: 0.0940 (0.0898) loss_contra: 0.0001 (0.0032) time: 2.5150 data: 0.0023 max mem: 31671 Epoch: [18] [ 940/5278] eta: 3:02:39 lr: 2.898117328773938e-05 loss: 0.0613 (0.0678) loss_seg: 0.0653 (0.0730) loss_lansim: 0.0941 (0.0899) loss_contra: 0.0001 (0.0031) time: 2.5085 data: 0.0024 max mem: 31671 Epoch: [18] [ 950/5278] eta: 3:02:13 lr: 2.897890863228509e-05 loss: 0.0613 (0.0680) loss_seg: 0.0653 (0.0733) loss_lansim: 0.0941 (0.0899) loss_contra: 0.0001 (0.0031) time: 2.5012 data: 0.0024 max mem: 31671 Epoch: [18] [ 960/5278] eta: 3:01:44 lr: 2.8976643957166262e-05 loss: 0.0581 (0.0681) loss_seg: 0.0640 (0.0733) loss_lansim: 0.0940 (0.0899) loss_contra: 0.0002 (0.0031) time: 2.4956 data: 0.0024 max mem: 31671 Epoch: [18] [ 970/5278] eta: 3:01:17 lr: 2.897437926238104e-05 loss: 0.0592 (0.0681) loss_seg: 0.0642 (0.0734) loss_lansim: 0.0936 (0.0899) loss_contra: 0.0002 (0.0031) time: 2.4962 data: 0.0024 max mem: 31671 Epoch: [18] [ 980/5278] eta: 3:00:52 lr: 2.8972114547927526e-05 loss: 0.0581 (0.0682) loss_seg: 0.0640 (0.0734) loss_lansim: 0.0936 (0.0900) loss_contra: 0.0001 (0.0031) time: 2.4968 data: 0.0024 max mem: 31671 Epoch: [18] [ 990/5278] eta: 3:00:25 lr: 2.8969849813803844e-05 loss: 0.0613 (0.0681) loss_seg: 0.0655 (0.0733) loss_lansim: 0.0916 (0.0900) loss_contra: 0.0001 (0.0031) time: 2.4947 data: 0.0024 max mem: 31671 Epoch: [18] [1000/5278] eta: 2:59:57 lr: 2.896758506000813e-05 loss: 0.0592 (0.0680) loss_seg: 0.0640 (0.0732) loss_lansim: 0.0913 (0.0899) loss_contra: 0.0001 (0.0032) time: 2.4945 data: 0.0024 max mem: 31671 Epoch: [18] [1010/5278] eta: 2:59:32 lr: 2.8965320286538476e-05 loss: 0.0581 (0.0682) loss_seg: 0.0632 (0.0735) loss_lansim: 0.0888 (0.0899) loss_contra: 0.0001 (0.0037) time: 2.4956 data: 0.0024 max mem: 31671 Epoch: [18] [1020/5278] eta: 2:59:09 lr: 2.8963055493393037e-05 loss: 0.0578 (0.0681) loss_seg: 0.0632 (0.0733) loss_lansim: 0.0884 (0.0899) loss_contra: 0.0001 (0.0037) time: 2.4986 data: 0.0024 max mem: 31671 Epoch: [18] [1030/5278] eta: 2:58:45 lr: 2.8960790680569904e-05 loss: 0.0581 (0.0682) loss_seg: 0.0638 (0.0734) loss_lansim: 0.0878 (0.0899) loss_contra: 0.0001 (0.0037) time: 2.5042 data: 0.0024 max mem: 31671 Epoch: [18] [1040/5278] eta: 2:58:20 lr: 2.8958525848067214e-05 loss: 0.0578 (0.0683) loss_seg: 0.0632 (0.0736) loss_lansim: 0.0871 (0.0899) loss_contra: 0.0001 (0.0036) time: 2.5100 data: 0.0024 max mem: 31671 Epoch: [18] [1050/5278] eta: 2:57:52 lr: 2.8956260995883077e-05 loss: 0.0587 (0.0686) loss_seg: 0.0640 (0.0739) loss_lansim: 0.0871 (0.0898) loss_contra: 0.0001 (0.0036) time: 2.5070 data: 0.0024 max mem: 31671 Epoch: [18] [1060/5278] eta: 2:57:27 lr: 2.8953996124015605e-05 loss: 0.0607 (0.0687) loss_seg: 0.0656 (0.0740) loss_lansim: 0.0877 (0.0899) loss_contra: 0.0001 (0.0036) time: 2.5164 data: 0.0024 max mem: 31671 Epoch: [18] [1070/5278] eta: 2:57:03 lr: 2.895173123246293e-05 loss: 0.0635 (0.0691) loss_seg: 0.0673 (0.0744) loss_lansim: 0.0868 (0.0898) loss_contra: 0.0001 (0.0037) time: 2.5223 data: 0.0024 max mem: 31671 Epoch: [18] [1080/5278] eta: 2:56:35 lr: 2.8949466321223162e-05 loss: 0.0631 (0.0692) loss_seg: 0.0673 (0.0745) loss_lansim: 0.0853 (0.0898) loss_contra: 0.0001 (0.0040) time: 2.5124 data: 0.0024 max mem: 31671 Epoch: [18] [1090/5278] eta: 2:56:09 lr: 2.894720139029442e-05 loss: 0.0616 (0.0691) loss_seg: 0.0662 (0.0745) loss_lansim: 0.0846 (0.0897) loss_contra: 0.0001 (0.0039) time: 2.5156 data: 0.0024 max mem: 31671 Epoch: [18] [1100/5278] eta: 2:55:43 lr: 2.894493643967483e-05 loss: 0.0670 (0.0691) loss_seg: 0.0697 (0.0745) loss_lansim: 0.0849 (0.0897) loss_contra: 0.0001 (0.0039) time: 2.5183 data: 0.0024 max mem: 31671 Epoch: [18] [1110/5278] eta: 2:55:19 lr: 2.894267146936249e-05 loss: 0.0670 (0.0691) loss_seg: 0.0741 (0.0744) loss_lansim: 0.0849 (0.0897) loss_contra: 0.0001 (0.0039) time: 2.5222 data: 0.0024 max mem: 31671 Epoch: [18] [1120/5278] eta: 2:54:54 lr: 2.894040647935553e-05 loss: 0.0670 (0.0690) loss_seg: 0.0741 (0.0744) loss_lansim: 0.0838 (0.0896) loss_contra: 0.0001 (0.0039) time: 2.5191 data: 0.0024 max mem: 31671 Epoch: [18] [1130/5278] eta: 2:54:27 lr: 2.8938141469652063e-05 loss: 0.0644 (0.0690) loss_seg: 0.0697 (0.0743) loss_lansim: 0.0840 (0.0896) loss_contra: 0.0001 (0.0039) time: 2.5091 data: 0.0024 max mem: 31671 Epoch: [18] [1140/5278] eta: 2:54:00 lr: 2.89358764402502e-05 loss: 0.0665 (0.0692) loss_seg: 0.0738 (0.0745) loss_lansim: 0.0840 (0.0896) loss_contra: 0.0001 (0.0039) time: 2.5047 data: 0.0024 max mem: 31671 Epoch: [18] [1150/5278] eta: 2:53:35 lr: 2.893361139114807e-05 loss: 0.0619 (0.0691) loss_seg: 0.0668 (0.0745) loss_lansim: 0.0846 (0.0896) loss_contra: 0.0001 (0.0039) time: 2.5109 data: 0.0024 max mem: 31671 Epoch: [18] [1160/5278] eta: 2:53:07 lr: 2.8931346322343773e-05 loss: 0.0603 (0.0690) loss_seg: 0.0611 (0.0743) loss_lansim: 0.0846 (0.0896) loss_contra: 0.0001 (0.0039) time: 2.5027 data: 0.0024 max mem: 31671 Epoch: [18] [1170/5278] eta: 2:52:41 lr: 2.8929081233835424e-05 loss: 0.0599 (0.0692) loss_seg: 0.0618 (0.0746) loss_lansim: 0.0885 (0.0897) loss_contra: 0.0001 (0.0038) time: 2.4970 data: 0.0024 max mem: 31671 Epoch: [18] [1180/5278] eta: 2:52:19 lr: 2.892681612562116e-05 loss: 0.0590 (0.0691) loss_seg: 0.0613 (0.0745) loss_lansim: 0.0898 (0.0897) loss_contra: 0.0001 (0.0039) time: 2.5148 data: 0.0024 max mem: 31671 Epoch: [18] [1190/5278] eta: 2:51:53 lr: 2.8924550997699062e-05 loss: 0.0595 (0.0692) loss_seg: 0.0618 (0.0745) loss_lansim: 0.0899 (0.0898) loss_contra: 0.0001 (0.0039) time: 2.5142 data: 0.0024 max mem: 31671 Epoch: [18] [1200/5278] eta: 2:51:32 lr: 2.8922285850067265e-05 loss: 0.0582 (0.0692) loss_seg: 0.0615 (0.0746) loss_lansim: 0.0906 (0.0898) loss_contra: 0.0001 (0.0039) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [18] [1210/5278] eta: 2:51:07 lr: 2.8920020682723882e-05 loss: 0.0582 (0.0691) loss_seg: 0.0615 (0.0745) loss_lansim: 0.0913 (0.0900) loss_contra: 0.0001 (0.0039) time: 2.5248 data: 0.0025 max mem: 31671 Epoch: [18] [1220/5278] eta: 2:50:43 lr: 2.8917755495667004e-05 loss: 0.0590 (0.0691) loss_seg: 0.0618 (0.0744) loss_lansim: 0.0920 (0.0900) loss_contra: 0.0001 (0.0039) time: 2.5281 data: 0.0024 max mem: 31671 Epoch: [18] [1230/5278] eta: 2:50:21 lr: 2.8915490288894777e-05 loss: 0.0582 (0.0690) loss_seg: 0.0615 (0.0743) loss_lansim: 0.0930 (0.0901) loss_contra: 0.0001 (0.0039) time: 2.5423 data: 0.0024 max mem: 31671 Epoch: [18] [1240/5278] eta: 2:49:56 lr: 2.8913225062405293e-05 loss: 0.0569 (0.0690) loss_seg: 0.0613 (0.0744) loss_lansim: 0.0941 (0.0901) loss_contra: 0.0001 (0.0039) time: 2.5492 data: 0.0024 max mem: 31671 Epoch: [18] [1250/5278] eta: 2:49:33 lr: 2.8910959816196665e-05 loss: 0.0576 (0.0690) loss_seg: 0.0614 (0.0743) loss_lansim: 0.0970 (0.0903) loss_contra: 0.0001 (0.0038) time: 2.5565 data: 0.0024 max mem: 31671 Epoch: [18] [1260/5278] eta: 2:49:07 lr: 2.8908694550267013e-05 loss: 0.0582 (0.0691) loss_seg: 0.0629 (0.0745) loss_lansim: 0.0967 (0.0903) loss_contra: 0.0001 (0.0039) time: 2.5596 data: 0.0025 max mem: 31671 Epoch: [18] [1270/5278] eta: 2:48:41 lr: 2.890642926461444e-05 loss: 0.0582 (0.0691) loss_seg: 0.0629 (0.0745) loss_lansim: 0.0971 (0.0904) loss_contra: 0.0001 (0.0039) time: 2.5605 data: 0.0025 max mem: 31671 Epoch: [18] [1280/5278] eta: 2:48:17 lr: 2.8904163959237053e-05 loss: 0.0600 (0.0691) loss_seg: 0.0640 (0.0745) loss_lansim: 0.0967 (0.0904) loss_contra: 0.0001 (0.0038) time: 2.5557 data: 0.0025 max mem: 31671 Epoch: [18] [1290/5278] eta: 2:47:51 lr: 2.8901898634132978e-05 loss: 0.0600 (0.0691) loss_seg: 0.0640 (0.0745) loss_lansim: 0.0970 (0.0905) loss_contra: 0.0001 (0.0039) time: 2.5562 data: 0.0025 max mem: 31671 Epoch: [18] [1300/5278] eta: 2:47:24 lr: 2.8899633289300306e-05 loss: 0.0619 (0.0691) loss_seg: 0.0643 (0.0745) loss_lansim: 0.0964 (0.0905) loss_contra: 0.0001 (0.0039) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [18] [1310/5278] eta: 2:47:00 lr: 2.8897367924737167e-05 loss: 0.0607 (0.0689) loss_seg: 0.0643 (0.0744) loss_lansim: 0.0959 (0.0906) loss_contra: 0.0001 (0.0039) time: 2.5425 data: 0.0024 max mem: 31671 Epoch: [18] [1320/5278] eta: 2:46:36 lr: 2.8895102540441653e-05 loss: 0.0607 (0.0690) loss_seg: 0.0643 (0.0744) loss_lansim: 0.0966 (0.0906) loss_contra: 0.0001 (0.0039) time: 2.5421 data: 0.0025 max mem: 31671 Epoch: [18] [1330/5278] eta: 2:46:11 lr: 2.8892837136411888e-05 loss: 0.0619 (0.0690) loss_seg: 0.0668 (0.0744) loss_lansim: 0.0970 (0.0907) loss_contra: 0.0001 (0.0039) time: 2.5327 data: 0.0024 max mem: 31671 Epoch: [18] [1340/5278] eta: 2:45:47 lr: 2.889057171264597e-05 loss: 0.0632 (0.0691) loss_seg: 0.0683 (0.0745) loss_lansim: 0.0973 (0.0908) loss_contra: 0.0001 (0.0039) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [18] [1350/5278] eta: 2:45:21 lr: 2.8888306269142007e-05 loss: 0.0632 (0.0689) loss_seg: 0.0677 (0.0743) loss_lansim: 0.0966 (0.0909) loss_contra: 0.0001 (0.0039) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [18] [1360/5278] eta: 2:44:54 lr: 2.8886040805898117e-05 loss: 0.0619 (0.0689) loss_seg: 0.0668 (0.0743) loss_lansim: 0.0985 (0.0910) loss_contra: 0.0001 (0.0039) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [18] [1370/5278] eta: 2:44:27 lr: 2.8883775322912403e-05 loss: 0.0619 (0.0691) loss_seg: 0.0671 (0.0745) loss_lansim: 0.0987 (0.0911) loss_contra: 0.0001 (0.0039) time: 2.5221 data: 0.0024 max mem: 31671 Epoch: [18] [1380/5278] eta: 2:44:01 lr: 2.8881509820182968e-05 loss: 0.0610 (0.0691) loss_seg: 0.0664 (0.0745) loss_lansim: 0.0985 (0.0911) loss_contra: 0.0001 (0.0039) time: 2.5136 data: 0.0024 max mem: 31671 Epoch: [18] [1390/5278] eta: 2:43:34 lr: 2.887924429770793e-05 loss: 0.0619 (0.0696) loss_seg: 0.0668 (0.0750) loss_lansim: 0.0991 (0.0912) loss_contra: 0.0001 (0.0039) time: 2.5103 data: 0.0024 max mem: 31671 Epoch: [18] [1400/5278] eta: 2:43:09 lr: 2.887697875548538e-05 loss: 0.0607 (0.0696) loss_seg: 0.0664 (0.0750) loss_lansim: 0.0999 (0.0913) loss_contra: 0.0001 (0.0041) time: 2.5158 data: 0.0024 max mem: 31671 Epoch: [18] [1410/5278] eta: 2:42:44 lr: 2.887471319351343e-05 loss: 0.0610 (0.0696) loss_seg: 0.0664 (0.0751) loss_lansim: 0.1000 (0.0913) loss_contra: 0.0001 (0.0041) time: 2.5128 data: 0.0024 max mem: 31671 Epoch: [18] [1420/5278] eta: 2:42:21 lr: 2.8872447611790204e-05 loss: 0.0610 (0.0696) loss_seg: 0.0664 (0.0750) loss_lansim: 0.0999 (0.0914) loss_contra: 0.0001 (0.0041) time: 2.5168 data: 0.0024 max mem: 31671 Epoch: [18] [1430/5278] eta: 2:41:56 lr: 2.8870182010313772e-05 loss: 0.0575 (0.0696) loss_seg: 0.0634 (0.0750) loss_lansim: 0.1002 (0.0915) loss_contra: 0.0002 (0.0041) time: 2.5181 data: 0.0024 max mem: 31671 Epoch: [18] [1440/5278] eta: 2:41:31 lr: 2.886791638908228e-05 loss: 0.0567 (0.0695) loss_seg: 0.0624 (0.0749) loss_lansim: 0.1000 (0.0915) loss_contra: 0.0002 (0.0041) time: 2.5134 data: 0.0025 max mem: 31671 Epoch: [18] [1450/5278] eta: 2:41:05 lr: 2.8865650748093797e-05 loss: 0.0570 (0.0695) loss_seg: 0.0614 (0.0750) loss_lansim: 0.1020 (0.0916) loss_contra: 0.0002 (0.0049) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [18] [1460/5278] eta: 2:40:40 lr: 2.8863385087346452e-05 loss: 0.0566 (0.0694) loss_seg: 0.0614 (0.0749) loss_lansim: 0.1000 (0.0916) loss_contra: 0.0002 (0.0049) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [18] [1470/5278] eta: 2:40:15 lr: 2.8861119406838343e-05 loss: 0.0531 (0.0694) loss_seg: 0.0583 (0.0748) loss_lansim: 0.1006 (0.0917) loss_contra: 0.0002 (0.0048) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [18] [1480/5278] eta: 2:39:49 lr: 2.8858853706567567e-05 loss: 0.0551 (0.0694) loss_seg: 0.0608 (0.0748) loss_lansim: 0.1030 (0.0918) loss_contra: 0.0002 (0.0048) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [18] [1490/5278] eta: 2:39:24 lr: 2.885658798653223e-05 loss: 0.0551 (0.0695) loss_seg: 0.0608 (0.0749) loss_lansim: 0.1006 (0.0918) loss_contra: 0.0002 (0.0049) time: 2.5328 data: 0.0024 max mem: 31671 Epoch: [18] [1500/5278] eta: 2:38:58 lr: 2.8854322246730448e-05 loss: 0.0550 (0.0694) loss_seg: 0.0583 (0.0748) loss_lansim: 0.0989 (0.0918) loss_contra: 0.0002 (0.0049) time: 2.5295 data: 0.0024 max mem: 31671 Epoch: [18] [1510/5278] eta: 2:38:33 lr: 2.88520564871603e-05 loss: 0.0530 (0.0696) loss_seg: 0.0580 (0.0750) loss_lansim: 0.0971 (0.0918) loss_contra: 0.0002 (0.0048) time: 2.5308 data: 0.0024 max mem: 31671 Epoch: [18] [1520/5278] eta: 2:38:11 lr: 2.8849790707819913e-05 loss: 0.0551 (0.0696) loss_seg: 0.0608 (0.0750) loss_lansim: 0.0977 (0.0918) loss_contra: 0.0002 (0.0048) time: 2.5358 data: 0.0024 max mem: 31671 Epoch: [18] [1530/5278] eta: 2:37:48 lr: 2.8847524908707375e-05 loss: 0.0550 (0.0694) loss_seg: 0.0583 (0.0749) loss_lansim: 0.0962 (0.0919) loss_contra: 0.0002 (0.0048) time: 2.5425 data: 0.0024 max mem: 31671 Epoch: [18] [1540/5278] eta: 2:37:23 lr: 2.884525908982079e-05 loss: 0.0530 (0.0693) loss_seg: 0.0581 (0.0748) loss_lansim: 0.0950 (0.0919) loss_contra: 0.0001 (0.0048) time: 2.5413 data: 0.0024 max mem: 31671 Epoch: [18] [1550/5278] eta: 2:36:58 lr: 2.8842993251158268e-05 loss: 0.0550 (0.0693) loss_seg: 0.0580 (0.0747) loss_lansim: 0.0917 (0.0919) loss_contra: 0.0002 (0.0048) time: 2.5487 data: 0.0024 max mem: 31671 Epoch: [18] [1560/5278] eta: 2:36:33 lr: 2.8840727392717892e-05 loss: 0.0526 (0.0691) loss_seg: 0.0566 (0.0745) loss_lansim: 0.0917 (0.0919) loss_contra: 0.0001 (0.0047) time: 2.5510 data: 0.0024 max mem: 31671 Epoch: [18] [1570/5278] eta: 2:36:09 lr: 2.8838461514497782e-05 loss: 0.0529 (0.0690) loss_seg: 0.0566 (0.0745) loss_lansim: 0.0925 (0.0920) loss_contra: 0.0001 (0.0048) time: 2.5521 data: 0.0024 max mem: 31671 Epoch: [18] [1580/5278] eta: 2:35:43 lr: 2.883619561649603e-05 loss: 0.0559 (0.0692) loss_seg: 0.0568 (0.0746) loss_lansim: 0.0910 (0.0920) loss_contra: 0.0001 (0.0048) time: 2.5556 data: 0.0024 max mem: 31671 Epoch: [18] [1590/5278] eta: 2:35:18 lr: 2.8833929698710734e-05 loss: 0.0559 (0.0691) loss_seg: 0.0568 (0.0746) loss_lansim: 0.0926 (0.0921) loss_contra: 0.0001 (0.0048) time: 2.5542 data: 0.0024 max mem: 31671 Epoch: [18] [1600/5278] eta: 2:34:56 lr: 2.8831663761140004e-05 loss: 0.0563 (0.0691) loss_seg: 0.0568 (0.0745) loss_lansim: 0.0953 (0.0921) loss_contra: 0.0001 (0.0047) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [18] [1610/5278] eta: 2:34:31 lr: 2.882939780378192e-05 loss: 0.0574 (0.0691) loss_seg: 0.0594 (0.0745) loss_lansim: 0.0972 (0.0922) loss_contra: 0.0001 (0.0048) time: 2.5707 data: 0.0025 max mem: 31671 Epoch: [18] [1620/5278] eta: 2:34:06 lr: 2.88271318266346e-05 loss: 0.0566 (0.0691) loss_seg: 0.0570 (0.0746) loss_lansim: 0.0974 (0.0923) loss_contra: 0.0001 (0.0048) time: 2.5578 data: 0.0025 max mem: 31671 Epoch: [18] [1630/5278] eta: 2:33:41 lr: 2.882486582969614e-05 loss: 0.0579 (0.0695) loss_seg: 0.0624 (0.0749) loss_lansim: 0.0975 (0.0923) loss_contra: 0.0001 (0.0048) time: 2.5534 data: 0.0024 max mem: 31671 Epoch: [18] [1640/5278] eta: 2:33:16 lr: 2.8822599812964623e-05 loss: 0.0579 (0.0694) loss_seg: 0.0623 (0.0748) loss_lansim: 0.0983 (0.0923) loss_contra: 0.0001 (0.0051) time: 2.5549 data: 0.0024 max mem: 31671 Epoch: [18] [1650/5278] eta: 2:32:51 lr: 2.8820333776438168e-05 loss: 0.0577 (0.0693) loss_seg: 0.0624 (0.0748) loss_lansim: 0.0985 (0.0923) loss_contra: 0.0001 (0.0051) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [18] [1660/5278] eta: 2:32:27 lr: 2.881806772011486e-05 loss: 0.0608 (0.0692) loss_seg: 0.0642 (0.0747) loss_lansim: 0.0984 (0.0924) loss_contra: 0.0001 (0.0051) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [18] [1670/5278] eta: 2:32:02 lr: 2.8815801643992803e-05 loss: 0.0608 (0.0693) loss_seg: 0.0642 (0.0747) loss_lansim: 0.0975 (0.0924) loss_contra: 0.0001 (0.0051) time: 2.5522 data: 0.0025 max mem: 31671 Epoch: [18] [1680/5278] eta: 2:31:36 lr: 2.8813535548070087e-05 loss: 0.0608 (0.0693) loss_seg: 0.0642 (0.0747) loss_lansim: 0.0985 (0.0924) loss_contra: 0.0001 (0.0051) time: 2.5515 data: 0.0024 max mem: 31671 Epoch: [18] [1690/5278] eta: 2:31:10 lr: 2.8811269432344812e-05 loss: 0.0606 (0.0692) loss_seg: 0.0642 (0.0747) loss_lansim: 0.0972 (0.0925) loss_contra: 0.0001 (0.0052) time: 2.5490 data: 0.0024 max mem: 31671 Epoch: [18] [1700/5278] eta: 2:30:44 lr: 2.8809003296815073e-05 loss: 0.0606 (0.0692) loss_seg: 0.0642 (0.0747) loss_lansim: 0.0954 (0.0925) loss_contra: 0.0001 (0.0052) time: 2.5284 data: 0.0024 max mem: 31671 Epoch: [18] [1710/5278] eta: 2:30:16 lr: 2.8806737141478972e-05 loss: 0.0577 (0.0692) loss_seg: 0.0614 (0.0746) loss_lansim: 0.0953 (0.0925) loss_contra: 0.0001 (0.0052) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [18] [1720/5278] eta: 2:29:53 lr: 2.880447096633459e-05 loss: 0.0551 (0.0691) loss_seg: 0.0598 (0.0746) loss_lansim: 0.0953 (0.0925) loss_contra: 0.0001 (0.0052) time: 2.5291 data: 0.0024 max mem: 31671 Epoch: [18] [1730/5278] eta: 2:29:28 lr: 2.880220477138004e-05 loss: 0.0526 (0.0691) loss_seg: 0.0548 (0.0745) loss_lansim: 0.0952 (0.0926) loss_contra: 0.0001 (0.0051) time: 2.5238 data: 0.0024 max mem: 31671 Epoch: [18] [1740/5278] eta: 2:29:03 lr: 2.879993855661341e-05 loss: 0.0509 (0.0690) loss_seg: 0.0542 (0.0744) loss_lansim: 0.0952 (0.0926) loss_contra: 0.0001 (0.0051) time: 2.5266 data: 0.0024 max mem: 31671 Epoch: [18] [1750/5278] eta: 2:28:39 lr: 2.8797672322032793e-05 loss: 0.0509 (0.0689) loss_seg: 0.0542 (0.0743) loss_lansim: 0.0953 (0.0926) loss_contra: 0.0001 (0.0051) time: 2.5336 data: 0.0024 max mem: 31671 Epoch: [18] [1760/5278] eta: 2:28:14 lr: 2.8795406067636284e-05 loss: 0.0507 (0.0688) loss_seg: 0.0542 (0.0742) loss_lansim: 0.0954 (0.0927) loss_contra: 0.0001 (0.0051) time: 2.5300 data: 0.0024 max mem: 31671 Epoch: [18] [1770/5278] eta: 2:27:48 lr: 2.8793139793421976e-05 loss: 0.0511 (0.0688) loss_seg: 0.0546 (0.0742) loss_lansim: 0.0954 (0.0927) loss_contra: 0.0001 (0.0051) time: 2.5246 data: 0.0024 max mem: 31671 Epoch: [18] [1780/5278] eta: 2:27:21 lr: 2.879087349938796e-05 loss: 0.0502 (0.0687) loss_seg: 0.0527 (0.0741) loss_lansim: 0.0952 (0.0927) loss_contra: 0.0001 (0.0051) time: 2.5192 data: 0.0024 max mem: 31671 Epoch: [18] [1790/5278] eta: 2:26:57 lr: 2.878860718553234e-05 loss: 0.0509 (0.0687) loss_seg: 0.0539 (0.0741) loss_lansim: 0.0947 (0.0927) loss_contra: 0.0001 (0.0051) time: 2.5239 data: 0.0024 max mem: 31671 Epoch: [18] [1800/5278] eta: 2:26:33 lr: 2.878634085185319e-05 loss: 0.0490 (0.0686) loss_seg: 0.0532 (0.0739) loss_lansim: 0.0947 (0.0927) loss_contra: 0.0001 (0.0051) time: 2.5387 data: 0.0024 max mem: 31671 Epoch: [18] [1810/5278] eta: 2:26:06 lr: 2.8784074498348623e-05 loss: 0.0502 (0.0686) loss_seg: 0.0534 (0.0739) loss_lansim: 0.0952 (0.0928) loss_contra: 0.0001 (0.0051) time: 2.5411 data: 0.0024 max mem: 31671 Epoch: [18] [1820/5278] eta: 2:25:41 lr: 2.8781808125016725e-05 loss: 0.0545 (0.0686) loss_seg: 0.0552 (0.0740) loss_lansim: 0.0947 (0.0928) loss_contra: 0.0001 (0.0051) time: 2.5275 data: 0.0024 max mem: 31671 Epoch: [18] [1830/5278] eta: 2:25:15 lr: 2.8779541731855575e-05 loss: 0.0545 (0.0686) loss_seg: 0.0539 (0.0740) loss_lansim: 0.0952 (0.0928) loss_contra: 0.0001 (0.0050) time: 2.5283 data: 0.0024 max mem: 31671 Epoch: [18] [1840/5278] eta: 2:24:49 lr: 2.8777275318863284e-05 loss: 0.0563 (0.0686) loss_seg: 0.0594 (0.0740) loss_lansim: 0.0953 (0.0928) loss_contra: 0.0001 (0.0050) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [18] [1850/5278] eta: 2:24:24 lr: 2.877500888603792e-05 loss: 0.0608 (0.0688) loss_seg: 0.0620 (0.0742) loss_lansim: 0.0949 (0.0928) loss_contra: 0.0001 (0.0050) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [18] [1860/5278] eta: 2:23:59 lr: 2.87727424333776e-05 loss: 0.0608 (0.0688) loss_seg: 0.0620 (0.0742) loss_lansim: 0.0947 (0.0928) loss_contra: 0.0001 (0.0050) time: 2.5148 data: 0.0024 max mem: 31671 Epoch: [18] [1870/5278] eta: 2:23:33 lr: 2.8770475960880393e-05 loss: 0.0608 (0.0689) loss_seg: 0.0620 (0.0743) loss_lansim: 0.0956 (0.0928) loss_contra: 0.0001 (0.0050) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [18] [1880/5278] eta: 2:23:09 lr: 2.8768209468544398e-05 loss: 0.0608 (0.0689) loss_seg: 0.0651 (0.0742) loss_lansim: 0.0961 (0.0929) loss_contra: 0.0000 (0.0050) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [18] [1890/5278] eta: 2:22:43 lr: 2.876594295636771e-05 loss: 0.0608 (0.0689) loss_seg: 0.0635 (0.0742) loss_lansim: 0.0953 (0.0929) loss_contra: 0.0000 (0.0050) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [18] [1900/5278] eta: 2:22:16 lr: 2.8763676424348407e-05 loss: 0.0603 (0.0687) loss_seg: 0.0623 (0.0741) loss_lansim: 0.0956 (0.0929) loss_contra: 0.0001 (0.0050) time: 2.5064 data: 0.0025 max mem: 31671 Epoch: [18] [1910/5278] eta: 2:21:48 lr: 2.8761409872484583e-05 loss: 0.0618 (0.0687) loss_seg: 0.0656 (0.0741) loss_lansim: 0.0953 (0.0929) loss_contra: 0.0001 (0.0050) time: 2.4988 data: 0.0025 max mem: 31671 Epoch: [18] [1920/5278] eta: 2:21:23 lr: 2.8759143300774333e-05 loss: 0.0608 (0.0687) loss_seg: 0.0635 (0.0740) loss_lansim: 0.0964 (0.0930) loss_contra: 0.0001 (0.0050) time: 2.4998 data: 0.0025 max mem: 31671 Epoch: [18] [1930/5278] eta: 2:20:58 lr: 2.875687670921573e-05 loss: 0.0608 (0.0686) loss_seg: 0.0651 (0.0739) loss_lansim: 0.0967 (0.0930) loss_contra: 0.0001 (0.0050) time: 2.5053 data: 0.0025 max mem: 31671 Epoch: [18] [1940/5278] eta: 2:20:33 lr: 2.875461009780688e-05 loss: 0.0600 (0.0686) loss_seg: 0.0635 (0.0739) loss_lansim: 0.0978 (0.0931) loss_contra: 0.0001 (0.0051) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [18] [1950/5278] eta: 2:20:07 lr: 2.875234346654585e-05 loss: 0.0590 (0.0686) loss_seg: 0.0610 (0.0739) loss_lansim: 0.0987 (0.0931) loss_contra: 0.0001 (0.0052) time: 2.5059 data: 0.0025 max mem: 31671 Epoch: [18] [1960/5278] eta: 2:19:42 lr: 2.875007681543075e-05 loss: 0.0600 (0.0686) loss_seg: 0.0625 (0.0739) loss_lansim: 0.1000 (0.0932) loss_contra: 0.0001 (0.0052) time: 2.5006 data: 0.0025 max mem: 31671 Epoch: [18] [1970/5278] eta: 2:19:17 lr: 2.8747810144459653e-05 loss: 0.0560 (0.0685) loss_seg: 0.0580 (0.0738) loss_lansim: 0.1005 (0.0933) loss_contra: 0.0001 (0.0052) time: 2.5034 data: 0.0024 max mem: 31671 Epoch: [18] [1980/5278] eta: 2:18:51 lr: 2.8745543453630642e-05 loss: 0.0579 (0.0685) loss_seg: 0.0602 (0.0738) loss_lansim: 0.1006 (0.0934) loss_contra: 0.0002 (0.0052) time: 2.4955 data: 0.0024 max mem: 31671 Epoch: [18] [1990/5278] eta: 2:18:24 lr: 2.8743276742941815e-05 loss: 0.0583 (0.0688) loss_seg: 0.0605 (0.0741) loss_lansim: 0.1027 (0.0934) loss_contra: 0.0003 (0.0052) time: 2.4947 data: 0.0024 max mem: 31671 Epoch: [18] [2000/5278] eta: 2:17:58 lr: 2.874101001239125e-05 loss: 0.0600 (0.0687) loss_seg: 0.0625 (0.0741) loss_lansim: 0.1034 (0.0935) loss_contra: 0.0003 (0.0052) time: 2.4916 data: 0.0023 max mem: 31671 Epoch: [18] [2010/5278] eta: 2:17:32 lr: 2.873874326197703e-05 loss: 0.0574 (0.0687) loss_seg: 0.0580 (0.0740) loss_lansim: 0.1033 (0.0935) loss_contra: 0.0003 (0.0052) time: 2.5002 data: 0.0023 max mem: 31671 Epoch: [18] [2020/5278] eta: 2:17:06 lr: 2.8736476491697255e-05 loss: 0.0552 (0.0686) loss_seg: 0.0568 (0.0739) loss_lansim: 0.1023 (0.0935) loss_contra: 0.0003 (0.0052) time: 2.5018 data: 0.0024 max mem: 31671 Epoch: [18] [2030/5278] eta: 2:16:41 lr: 2.873420970154999e-05 loss: 0.0552 (0.0685) loss_seg: 0.0572 (0.0739) loss_lansim: 0.1023 (0.0936) loss_contra: 0.0002 (0.0051) time: 2.4941 data: 0.0024 max mem: 31671 Epoch: [18] [2040/5278] eta: 2:16:14 lr: 2.873194289153333e-05 loss: 0.0549 (0.0685) loss_seg: 0.0580 (0.0739) loss_lansim: 0.1024 (0.0936) loss_contra: 0.0001 (0.0051) time: 2.4868 data: 0.0024 max mem: 31671 Epoch: [18] [2050/5278] eta: 2:15:49 lr: 2.8729676061645365e-05 loss: 0.0537 (0.0685) loss_seg: 0.0572 (0.0739) loss_lansim: 0.1022 (0.0936) loss_contra: 0.0002 (0.0051) time: 2.4938 data: 0.0024 max mem: 31671 Epoch: [18] [2060/5278] eta: 2:15:25 lr: 2.872740921188416e-05 loss: 0.0526 (0.0684) loss_seg: 0.0565 (0.0738) loss_lansim: 0.0986 (0.0936) loss_contra: 0.0002 (0.0051) time: 2.4989 data: 0.0024 max mem: 31671 Epoch: [18] [2070/5278] eta: 2:14:59 lr: 2.8725142342247818e-05 loss: 0.0529 (0.0684) loss_seg: 0.0568 (0.0737) loss_lansim: 0.0982 (0.0937) loss_contra: 0.0002 (0.0051) time: 2.4954 data: 0.0024 max mem: 31671 Epoch: [18] [2080/5278] eta: 2:14:34 lr: 2.872287545273441e-05 loss: 0.0520 (0.0684) loss_seg: 0.0550 (0.0737) loss_lansim: 0.0982 (0.0937) loss_contra: 0.0002 (0.0051) time: 2.4982 data: 0.0024 max mem: 31671 Epoch: [18] [2090/5278] eta: 2:14:09 lr: 2.8720608543342026e-05 loss: 0.0529 (0.0684) loss_seg: 0.0568 (0.0737) loss_lansim: 0.0977 (0.0937) loss_contra: 0.0001 (0.0050) time: 2.5035 data: 0.0024 max mem: 31671 Epoch: [18] [2100/5278] eta: 2:13:42 lr: 2.8718341614068744e-05 loss: 0.0537 (0.0683) loss_seg: 0.0571 (0.0736) loss_lansim: 0.0977 (0.0937) loss_contra: 0.0001 (0.0050) time: 2.5071 data: 0.0025 max mem: 31671 Epoch: [18] [2110/5278] eta: 2:13:17 lr: 2.8716074664912644e-05 loss: 0.0537 (0.0684) loss_seg: 0.0572 (0.0737) loss_lansim: 0.0969 (0.0937) loss_contra: 0.0001 (0.0050) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [18] [2120/5278] eta: 2:12:50 lr: 2.871380769587181e-05 loss: 0.0557 (0.0683) loss_seg: 0.0602 (0.0737) loss_lansim: 0.0974 (0.0937) loss_contra: 0.0001 (0.0050) time: 2.5000 data: 0.0024 max mem: 31671 Epoch: [18] [2130/5278] eta: 2:12:24 lr: 2.871154070694433e-05 loss: 0.0559 (0.0683) loss_seg: 0.0609 (0.0736) loss_lansim: 0.0968 (0.0937) loss_contra: 0.0001 (0.0050) time: 2.4983 data: 0.0025 max mem: 31671 Epoch: [18] [2140/5278] eta: 2:12:00 lr: 2.8709273698128264e-05 loss: 0.0559 (0.0683) loss_seg: 0.0610 (0.0736) loss_lansim: 0.0963 (0.0937) loss_contra: 0.0001 (0.0050) time: 2.5096 data: 0.0024 max mem: 31671 Epoch: [18] [2150/5278] eta: 2:11:34 lr: 2.8707006669421717e-05 loss: 0.0567 (0.0683) loss_seg: 0.0616 (0.0736) loss_lansim: 0.0966 (0.0938) loss_contra: 0.0001 (0.0050) time: 2.5074 data: 0.0024 max mem: 31671 Epoch: [18] [2160/5278] eta: 2:11:08 lr: 2.8704739620822756e-05 loss: 0.0569 (0.0682) loss_seg: 0.0620 (0.0735) loss_lansim: 0.0974 (0.0938) loss_contra: 0.0001 (0.0050) time: 2.4984 data: 0.0024 max mem: 31671 Epoch: [18] [2170/5278] eta: 2:10:43 lr: 2.870247255232946e-05 loss: 0.0600 (0.0682) loss_seg: 0.0625 (0.0735) loss_lansim: 0.0969 (0.0938) loss_contra: 0.0001 (0.0049) time: 2.4968 data: 0.0024 max mem: 31671 Epoch: [18] [2180/5278] eta: 2:10:16 lr: 2.8700205463939922e-05 loss: 0.0620 (0.0683) loss_seg: 0.0661 (0.0736) loss_lansim: 0.0969 (0.0939) loss_contra: 0.0001 (0.0049) time: 2.4888 data: 0.0024 max mem: 31671 Epoch: [18] [2190/5278] eta: 2:09:51 lr: 2.86979383556522e-05 loss: 0.0600 (0.0684) loss_seg: 0.0625 (0.0737) loss_lansim: 0.0963 (0.0938) loss_contra: 0.0001 (0.0049) time: 2.4905 data: 0.0024 max mem: 31671 Epoch: [18] [2200/5278] eta: 2:09:25 lr: 2.8695671227464387e-05 loss: 0.0600 (0.0684) loss_seg: 0.0649 (0.0737) loss_lansim: 0.0964 (0.0939) loss_contra: 0.0002 (0.0049) time: 2.4881 data: 0.0024 max mem: 31671 Epoch: [18] [2210/5278] eta: 2:09:01 lr: 2.8693404079374563e-05 loss: 0.0615 (0.0684) loss_seg: 0.0651 (0.0737) loss_lansim: 0.0963 (0.0939) loss_contra: 0.0001 (0.0049) time: 2.4972 data: 0.0024 max mem: 31671 Epoch: [18] [2220/5278] eta: 2:08:36 lr: 2.869113691138079e-05 loss: 0.0614 (0.0685) loss_seg: 0.0650 (0.0737) loss_lansim: 0.0963 (0.0939) loss_contra: 0.0001 (0.0050) time: 2.5133 data: 0.0024 max mem: 31671 Epoch: [18] [2230/5278] eta: 2:08:13 lr: 2.8688869723481172e-05 loss: 0.0590 (0.0684) loss_seg: 0.0649 (0.0737) loss_lansim: 0.0966 (0.0939) loss_contra: 0.0001 (0.0050) time: 2.5339 data: 0.0024 max mem: 31671 Epoch: [18] [2240/5278] eta: 2:07:48 lr: 2.868660251567376e-05 loss: 0.0611 (0.0684) loss_seg: 0.0650 (0.0737) loss_lansim: 0.0964 (0.0940) loss_contra: 0.0001 (0.0049) time: 2.5261 data: 0.0024 max mem: 31671 Epoch: [18] [2250/5278] eta: 2:07:22 lr: 2.868433528795664e-05 loss: 0.0587 (0.0684) loss_seg: 0.0630 (0.0736) loss_lansim: 0.0960 (0.0940) loss_contra: 0.0001 (0.0049) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [18] [2260/5278] eta: 2:06:57 lr: 2.8682068040327903e-05 loss: 0.0588 (0.0684) loss_seg: 0.0649 (0.0737) loss_lansim: 0.0963 (0.0940) loss_contra: 0.0001 (0.0049) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [18] [2270/5278] eta: 2:06:32 lr: 2.8679800772785603e-05 loss: 0.0590 (0.0685) loss_seg: 0.0650 (0.0737) loss_lansim: 0.0961 (0.0940) loss_contra: 0.0001 (0.0049) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [18] [2280/5278] eta: 2:06:08 lr: 2.867753348532783e-05 loss: 0.0574 (0.0684) loss_seg: 0.0598 (0.0737) loss_lansim: 0.0960 (0.0940) loss_contra: 0.0001 (0.0049) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [18] [2290/5278] eta: 2:05:41 lr: 2.8675266177952657e-05 loss: 0.0574 (0.0685) loss_seg: 0.0598 (0.0738) loss_lansim: 0.0969 (0.0941) loss_contra: 0.0001 (0.0049) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [18] [2300/5278] eta: 2:05:16 lr: 2.867299885065815e-05 loss: 0.0588 (0.0685) loss_seg: 0.0601 (0.0738) loss_lansim: 0.0969 (0.0941) loss_contra: 0.0001 (0.0048) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [18] [2310/5278] eta: 2:04:50 lr: 2.86707315034424e-05 loss: 0.0584 (0.0685) loss_seg: 0.0598 (0.0738) loss_lansim: 0.0977 (0.0941) loss_contra: 0.0001 (0.0048) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [18] [2320/5278] eta: 2:04:25 lr: 2.8668464136303464e-05 loss: 0.0542 (0.0685) loss_seg: 0.0590 (0.0737) loss_lansim: 0.0981 (0.0942) loss_contra: 0.0000 (0.0048) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [18] [2330/5278] eta: 2:04:00 lr: 2.8666196749239428e-05 loss: 0.0542 (0.0684) loss_seg: 0.0583 (0.0737) loss_lansim: 0.0979 (0.0942) loss_contra: 0.0001 (0.0048) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [18] [2340/5278] eta: 2:03:35 lr: 2.866392934224837e-05 loss: 0.0537 (0.0684) loss_seg: 0.0581 (0.0736) loss_lansim: 0.0981 (0.0942) loss_contra: 0.0001 (0.0049) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [18] [2350/5278] eta: 2:03:10 lr: 2.866166191532834e-05 loss: 0.0575 (0.0683) loss_seg: 0.0600 (0.0736) loss_lansim: 0.0981 (0.0942) loss_contra: 0.0000 (0.0049) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [18] [2360/5278] eta: 2:02:45 lr: 2.8659394468477446e-05 loss: 0.0584 (0.0683) loss_seg: 0.0600 (0.0735) loss_lansim: 0.0988 (0.0943) loss_contra: 0.0000 (0.0048) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [18] [2370/5278] eta: 2:02:21 lr: 2.8657127001693728e-05 loss: 0.0569 (0.0682) loss_seg: 0.0592 (0.0735) loss_lansim: 0.1002 (0.0943) loss_contra: 0.0001 (0.0048) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [18] [2380/5278] eta: 2:01:56 lr: 2.865485951497528e-05 loss: 0.0575 (0.0682) loss_seg: 0.0600 (0.0735) loss_lansim: 0.1004 (0.0944) loss_contra: 0.0000 (0.0048) time: 2.5265 data: 0.0024 max mem: 31671 Epoch: [18] [2390/5278] eta: 2:01:32 lr: 2.8652592008320166e-05 loss: 0.0588 (0.0682) loss_seg: 0.0628 (0.0734) loss_lansim: 0.1002 (0.0944) loss_contra: 0.0000 (0.0048) time: 2.5490 data: 0.0024 max mem: 31671 Epoch: [18] [2400/5278] eta: 2:01:07 lr: 2.8650324481726453e-05 loss: 0.0584 (0.0682) loss_seg: 0.0628 (0.0734) loss_lansim: 0.1004 (0.0944) loss_contra: 0.0000 (0.0048) time: 2.5555 data: 0.0025 max mem: 31671 Epoch: [18] [2410/5278] eta: 2:00:43 lr: 2.864805693519222e-05 loss: 0.0586 (0.0683) loss_seg: 0.0628 (0.0735) loss_lansim: 0.1009 (0.0944) loss_contra: 0.0000 (0.0048) time: 2.5651 data: 0.0024 max mem: 31671 Epoch: [18] [2420/5278] eta: 2:00:17 lr: 2.8645789368715535e-05 loss: 0.0596 (0.0683) loss_seg: 0.0641 (0.0735) loss_lansim: 0.1012 (0.0945) loss_contra: 0.0000 (0.0048) time: 2.5620 data: 0.0025 max mem: 31671 Epoch: [18] [2430/5278] eta: 1:59:54 lr: 2.8643521782294465e-05 loss: 0.0596 (0.0683) loss_seg: 0.0641 (0.0736) loss_lansim: 0.1012 (0.0945) loss_contra: 0.0000 (0.0047) time: 2.5769 data: 0.0025 max mem: 31671 Epoch: [18] [2440/5278] eta: 1:59:29 lr: 2.864125417592709e-05 loss: 0.0627 (0.0684) loss_seg: 0.0656 (0.0737) loss_lansim: 0.1021 (0.0945) loss_contra: 0.0000 (0.0047) time: 2.5781 data: 0.0025 max mem: 31671 Epoch: [18] [2450/5278] eta: 1:59:04 lr: 2.863898654961147e-05 loss: 0.0635 (0.0684) loss_seg: 0.0657 (0.0736) loss_lansim: 0.1025 (0.0945) loss_contra: 0.0000 (0.0047) time: 2.5783 data: 0.0025 max mem: 31671 Epoch: [18] [2460/5278] eta: 1:58:40 lr: 2.863671890334568e-05 loss: 0.0625 (0.0683) loss_seg: 0.0649 (0.0736) loss_lansim: 0.1020 (0.0945) loss_contra: 0.0000 (0.0047) time: 2.5834 data: 0.0024 max mem: 31671 Epoch: [18] [2470/5278] eta: 1:58:14 lr: 2.8634451237127786e-05 loss: 0.0599 (0.0683) loss_seg: 0.0648 (0.0735) loss_lansim: 0.1005 (0.0946) loss_contra: 0.0000 (0.0047) time: 2.5793 data: 0.0025 max mem: 31671 Epoch: [18] [2480/5278] eta: 1:57:49 lr: 2.8632183550955854e-05 loss: 0.0596 (0.0683) loss_seg: 0.0648 (0.0736) loss_lansim: 0.1000 (0.0946) loss_contra: 0.0000 (0.0047) time: 2.5770 data: 0.0025 max mem: 31671 Epoch: [18] [2490/5278] eta: 1:57:24 lr: 2.862991584482796e-05 loss: 0.0596 (0.0683) loss_seg: 0.0649 (0.0736) loss_lansim: 0.0992 (0.0946) loss_contra: 0.0000 (0.0047) time: 2.5666 data: 0.0025 max mem: 31671 Epoch: [18] [2500/5278] eta: 1:56:58 lr: 2.8627648118742172e-05 loss: 0.0596 (0.0684) loss_seg: 0.0649 (0.0736) loss_lansim: 0.0987 (0.0946) loss_contra: 0.0000 (0.0047) time: 2.5557 data: 0.0025 max mem: 31671 Epoch: [18] [2510/5278] eta: 1:56:33 lr: 2.862538037269654e-05 loss: 0.0587 (0.0684) loss_seg: 0.0641 (0.0736) loss_lansim: 0.0986 (0.0946) loss_contra: 0.0000 (0.0046) time: 2.5486 data: 0.0024 max mem: 31671 Epoch: [18] [2520/5278] eta: 1:56:07 lr: 2.862311260668916e-05 loss: 0.0599 (0.0684) loss_seg: 0.0649 (0.0737) loss_lansim: 0.0986 (0.0947) loss_contra: 0.0000 (0.0046) time: 2.5519 data: 0.0024 max mem: 31671 Epoch: [18] [2530/5278] eta: 1:55:43 lr: 2.8620844820718086e-05 loss: 0.0599 (0.0684) loss_seg: 0.0649 (0.0737) loss_lansim: 0.0986 (0.0947) loss_contra: 0.0000 (0.0046) time: 2.5426 data: 0.0024 max mem: 31671 Epoch: [18] [2540/5278] eta: 1:55:19 lr: 2.8618577014781373e-05 loss: 0.0584 (0.0684) loss_seg: 0.0641 (0.0737) loss_lansim: 0.0987 (0.0947) loss_contra: 0.0000 (0.0046) time: 2.5485 data: 0.0024 max mem: 31671 Epoch: [18] [2550/5278] eta: 1:54:53 lr: 2.8616309188877106e-05 loss: 0.0584 (0.0684) loss_seg: 0.0641 (0.0737) loss_lansim: 0.0986 (0.0948) loss_contra: 0.0000 (0.0046) time: 2.5440 data: 0.0024 max mem: 31671 Epoch: [18] [2560/5278] eta: 1:54:28 lr: 2.861404134300333e-05 loss: 0.0587 (0.0684) loss_seg: 0.0641 (0.0736) loss_lansim: 0.0986 (0.0948) loss_contra: 0.0000 (0.0046) time: 2.5416 data: 0.0024 max mem: 31671 Epoch: [18] [2570/5278] eta: 1:54:03 lr: 2.8611773477158137e-05 loss: 0.0587 (0.0684) loss_seg: 0.0635 (0.0736) loss_lansim: 0.1011 (0.0948) loss_contra: 0.0000 (0.0046) time: 2.5411 data: 0.0024 max mem: 31671 Epoch: [18] [2580/5278] eta: 1:53:38 lr: 2.860950559133957e-05 loss: 0.0574 (0.0683) loss_seg: 0.0627 (0.0736) loss_lansim: 0.1008 (0.0949) loss_contra: 0.0001 (0.0046) time: 2.5423 data: 0.0023 max mem: 31671 Epoch: [18] [2590/5278] eta: 1:53:13 lr: 2.86072376855457e-05 loss: 0.0574 (0.0683) loss_seg: 0.0627 (0.0736) loss_lansim: 0.1011 (0.0949) loss_contra: 0.0001 (0.0046) time: 2.5432 data: 0.0023 max mem: 31671 Epoch: [18] [2600/5278] eta: 1:52:48 lr: 2.86049697597746e-05 loss: 0.0574 (0.0683) loss_seg: 0.0627 (0.0736) loss_lansim: 0.1020 (0.0949) loss_contra: 0.0001 (0.0046) time: 2.5462 data: 0.0023 max mem: 31671 Epoch: [18] [2610/5278] eta: 1:52:23 lr: 2.8602701814024323e-05 loss: 0.0574 (0.0683) loss_seg: 0.0634 (0.0735) loss_lansim: 0.1011 (0.0950) loss_contra: 0.0001 (0.0046) time: 2.5505 data: 0.0023 max mem: 31671 Epoch: [18] [2620/5278] eta: 1:51:58 lr: 2.860043384829294e-05 loss: 0.0559 (0.0682) loss_seg: 0.0593 (0.0734) loss_lansim: 0.1008 (0.0950) loss_contra: 0.0001 (0.0046) time: 2.5623 data: 0.0023 max mem: 31671 Epoch: [18] [2630/5278] eta: 1:51:33 lr: 2.859816586257852e-05 loss: 0.0561 (0.0683) loss_seg: 0.0603 (0.0735) loss_lansim: 0.1002 (0.0950) loss_contra: 0.0001 (0.0046) time: 2.5568 data: 0.0024 max mem: 31671 Epoch: [18] [2640/5278] eta: 1:51:08 lr: 2.85958978568791e-05 loss: 0.0559 (0.0683) loss_seg: 0.0598 (0.0736) loss_lansim: 0.1002 (0.0951) loss_contra: 0.0001 (0.0046) time: 2.5459 data: 0.0024 max mem: 31671 Epoch: [18] [2650/5278] eta: 1:50:42 lr: 2.859362983119277e-05 loss: 0.0576 (0.0684) loss_seg: 0.0634 (0.0737) loss_lansim: 0.1021 (0.0952) loss_contra: 0.0001 (0.0046) time: 2.5451 data: 0.0024 max mem: 31671 Epoch: [18] [2660/5278] eta: 1:50:17 lr: 2.8591361785517585e-05 loss: 0.0579 (0.0684) loss_seg: 0.0627 (0.0736) loss_lansim: 0.1021 (0.0952) loss_contra: 0.0001 (0.0046) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [18] [2670/5278] eta: 1:49:51 lr: 2.8589093719851595e-05 loss: 0.0597 (0.0684) loss_seg: 0.0634 (0.0736) loss_lansim: 0.1008 (0.0952) loss_contra: 0.0001 (0.0046) time: 2.5363 data: 0.0025 max mem: 31671 Epoch: [18] [2680/5278] eta: 1:49:27 lr: 2.858682563419288e-05 loss: 0.0579 (0.0683) loss_seg: 0.0619 (0.0736) loss_lansim: 0.1016 (0.0953) loss_contra: 0.0001 (0.0046) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [18] [2690/5278] eta: 1:49:01 lr: 2.8584557528539496e-05 loss: 0.0566 (0.0685) loss_seg: 0.0622 (0.0737) loss_lansim: 0.1016 (0.0953) loss_contra: 0.0001 (0.0046) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [18] [2700/5278] eta: 1:48:36 lr: 2.858228940288949e-05 loss: 0.0565 (0.0684) loss_seg: 0.0606 (0.0737) loss_lansim: 0.1016 (0.0954) loss_contra: 0.0001 (0.0046) time: 2.5401 data: 0.0024 max mem: 31671 Epoch: [18] [2710/5278] eta: 1:48:11 lr: 2.8580021257240946e-05 loss: 0.0566 (0.0684) loss_seg: 0.0609 (0.0737) loss_lansim: 0.1021 (0.0954) loss_contra: 0.0001 (0.0046) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [18] [2720/5278] eta: 1:47:45 lr: 2.8577753091591896e-05 loss: 0.0578 (0.0684) loss_seg: 0.0623 (0.0737) loss_lansim: 0.1043 (0.0955) loss_contra: 0.0001 (0.0045) time: 2.5255 data: 0.0025 max mem: 31671 Epoch: [18] [2730/5278] eta: 1:47:21 lr: 2.8575484905940423e-05 loss: 0.0566 (0.0683) loss_seg: 0.0609 (0.0736) loss_lansim: 0.1057 (0.0955) loss_contra: 0.0001 (0.0045) time: 2.5343 data: 0.0024 max mem: 31671 Epoch: [18] [2740/5278] eta: 1:46:56 lr: 2.8573216700284577e-05 loss: 0.0566 (0.0683) loss_seg: 0.0622 (0.0736) loss_lansim: 0.1048 (0.0955) loss_contra: 0.0001 (0.0047) time: 2.5351 data: 0.0024 max mem: 31671 Epoch: [18] [2750/5278] eta: 1:46:30 lr: 2.8570948474622422e-05 loss: 0.0528 (0.0683) loss_seg: 0.0578 (0.0735) loss_lansim: 0.1044 (0.0956) loss_contra: 0.0001 (0.0047) time: 2.5356 data: 0.0024 max mem: 31671 Epoch: [18] [2760/5278] eta: 1:46:05 lr: 2.8568680228952015e-05 loss: 0.0541 (0.0683) loss_seg: 0.0579 (0.0736) loss_lansim: 0.1053 (0.0956) loss_contra: 0.0001 (0.0047) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [18] [2770/5278] eta: 1:45:40 lr: 2.8566411963271406e-05 loss: 0.0528 (0.0683) loss_seg: 0.0578 (0.0736) loss_lansim: 0.1064 (0.0957) loss_contra: 0.0001 (0.0047) time: 2.5373 data: 0.0024 max mem: 31671 Epoch: [18] [2780/5278] eta: 1:45:15 lr: 2.8564143677578664e-05 loss: 0.0541 (0.0684) loss_seg: 0.0595 (0.0737) loss_lansim: 0.1065 (0.0957) loss_contra: 0.0001 (0.0046) time: 2.5380 data: 0.0024 max mem: 31671 Epoch: [18] [2790/5278] eta: 1:44:49 lr: 2.8561875371871838e-05 loss: 0.0522 (0.0683) loss_seg: 0.0573 (0.0736) loss_lansim: 0.1065 (0.0958) loss_contra: 0.0000 (0.0046) time: 2.5363 data: 0.0025 max mem: 31671 Epoch: [18] [2800/5278] eta: 1:44:24 lr: 2.8559607046148994e-05 loss: 0.0525 (0.0684) loss_seg: 0.0578 (0.0736) loss_lansim: 0.1070 (0.0958) loss_contra: 0.0000 (0.0046) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [18] [2810/5278] eta: 1:43:59 lr: 2.8557338700408186e-05 loss: 0.0525 (0.0684) loss_seg: 0.0578 (0.0737) loss_lansim: 0.1067 (0.0959) loss_contra: 0.0000 (0.0046) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [18] [2820/5278] eta: 1:43:34 lr: 2.8555070334647466e-05 loss: 0.0522 (0.0684) loss_seg: 0.0575 (0.0737) loss_lansim: 0.1070 (0.0959) loss_contra: 0.0000 (0.0046) time: 2.5396 data: 0.0024 max mem: 31671 Epoch: [18] [2830/5278] eta: 1:43:08 lr: 2.8552801948864893e-05 loss: 0.0541 (0.0685) loss_seg: 0.0595 (0.0738) loss_lansim: 0.1085 (0.0960) loss_contra: 0.0000 (0.0046) time: 2.5311 data: 0.0024 max mem: 31671 Epoch: [18] [2840/5278] eta: 1:42:43 lr: 2.855053354305853e-05 loss: 0.0541 (0.0685) loss_seg: 0.0595 (0.0738) loss_lansim: 0.1082 (0.0961) loss_contra: 0.0000 (0.0046) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [18] [2850/5278] eta: 1:42:18 lr: 2.8548265117226412e-05 loss: 0.0550 (0.0685) loss_seg: 0.0606 (0.0738) loss_lansim: 0.1093 (0.0961) loss_contra: 0.0000 (0.0046) time: 2.5360 data: 0.0024 max mem: 31671 Epoch: [18] [2860/5278] eta: 1:41:53 lr: 2.854599667136662e-05 loss: 0.0532 (0.0685) loss_seg: 0.0584 (0.0738) loss_lansim: 0.1095 (0.0962) loss_contra: 0.0001 (0.0046) time: 2.5351 data: 0.0024 max mem: 31671 Epoch: [18] [2870/5278] eta: 1:41:29 lr: 2.8543728205477195e-05 loss: 0.0532 (0.0684) loss_seg: 0.0584 (0.0737) loss_lansim: 0.1101 (0.0962) loss_contra: 0.0001 (0.0046) time: 2.5498 data: 0.0024 max mem: 31671 Epoch: [18] [2880/5278] eta: 1:41:03 lr: 2.8541459719556192e-05 loss: 0.0532 (0.0684) loss_seg: 0.0584 (0.0737) loss_lansim: 0.1103 (0.0963) loss_contra: 0.0001 (0.0045) time: 2.5427 data: 0.0024 max mem: 31671 Epoch: [18] [2890/5278] eta: 1:40:37 lr: 2.8539191213601667e-05 loss: 0.0562 (0.0684) loss_seg: 0.0604 (0.0737) loss_lansim: 0.1107 (0.0963) loss_contra: 0.0001 (0.0045) time: 2.5321 data: 0.0024 max mem: 31671 Epoch: [18] [2900/5278] eta: 1:40:12 lr: 2.853692268761167e-05 loss: 0.0523 (0.0683) loss_seg: 0.0567 (0.0736) loss_lansim: 0.1107 (0.0964) loss_contra: 0.0001 (0.0045) time: 2.5289 data: 0.0024 max mem: 31671 Epoch: [18] [2910/5278] eta: 1:39:47 lr: 2.853465414158426e-05 loss: 0.0523 (0.0683) loss_seg: 0.0567 (0.0736) loss_lansim: 0.1118 (0.0965) loss_contra: 0.0002 (0.0045) time: 2.5351 data: 0.0024 max mem: 31671 Epoch: [18] [2920/5278] eta: 1:39:21 lr: 2.8532385575517495e-05 loss: 0.0531 (0.0684) loss_seg: 0.0574 (0.0737) loss_lansim: 0.1121 (0.0966) loss_contra: 0.0002 (0.0045) time: 2.5352 data: 0.0024 max mem: 31671 Epoch: [18] [2930/5278] eta: 1:38:55 lr: 2.8530116989409404e-05 loss: 0.0551 (0.0684) loss_seg: 0.0584 (0.0737) loss_lansim: 0.1121 (0.0967) loss_contra: 0.0002 (0.0045) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [18] [2940/5278] eta: 1:38:30 lr: 2.8527848383258064e-05 loss: 0.0564 (0.0684) loss_seg: 0.0584 (0.0737) loss_lansim: 0.1142 (0.0968) loss_contra: 0.0002 (0.0045) time: 2.5232 data: 0.0024 max mem: 31671 Epoch: [18] [2950/5278] eta: 1:38:05 lr: 2.852557975706152e-05 loss: 0.0551 (0.0684) loss_seg: 0.0584 (0.0737) loss_lansim: 0.1134 (0.0968) loss_contra: 0.0002 (0.0045) time: 2.5299 data: 0.0024 max mem: 31671 Epoch: [18] [2960/5278] eta: 1:37:40 lr: 2.8523311110817817e-05 loss: 0.0573 (0.0685) loss_seg: 0.0620 (0.0737) loss_lansim: 0.1134 (0.0969) loss_contra: 0.0002 (0.0045) time: 2.5268 data: 0.0024 max mem: 31671 Epoch: [18] [2970/5278] eta: 1:37:14 lr: 2.852104244452502e-05 loss: 0.0604 (0.0685) loss_seg: 0.0630 (0.0738) loss_lansim: 0.1134 (0.0970) loss_contra: 0.0002 (0.0045) time: 2.5128 data: 0.0023 max mem: 31671 Epoch: [18] [2980/5278] eta: 1:36:49 lr: 2.851877375818116e-05 loss: 0.0583 (0.0684) loss_seg: 0.0620 (0.0737) loss_lansim: 0.1146 (0.0970) loss_contra: 0.0002 (0.0045) time: 2.5166 data: 0.0023 max mem: 31671 Epoch: [18] [2990/5278] eta: 1:36:24 lr: 2.85165050517843e-05 loss: 0.0551 (0.0684) loss_seg: 0.0603 (0.0737) loss_lansim: 0.1134 (0.0971) loss_contra: 0.0001 (0.0045) time: 2.5324 data: 0.0023 max mem: 31671 Epoch: [18] [3000/5278] eta: 1:35:59 lr: 2.8514236325332494e-05 loss: 0.0570 (0.0684) loss_seg: 0.0603 (0.0736) loss_lansim: 0.1119 (0.0971) loss_contra: 0.0001 (0.0045) time: 2.5358 data: 0.0024 max mem: 31671 Epoch: [18] [3010/5278] eta: 1:35:34 lr: 2.8511967578823773e-05 loss: 0.0551 (0.0683) loss_seg: 0.0593 (0.0736) loss_lansim: 0.1098 (0.0971) loss_contra: 0.0001 (0.0046) time: 2.5311 data: 0.0024 max mem: 31671 Epoch: [18] [3020/5278] eta: 1:35:08 lr: 2.8509698812256214e-05 loss: 0.0548 (0.0683) loss_seg: 0.0569 (0.0736) loss_lansim: 0.1089 (0.0971) loss_contra: 0.0001 (0.0046) time: 2.5253 data: 0.0024 max mem: 31671 Epoch: [18] [3030/5278] eta: 1:34:43 lr: 2.8507430025627845e-05 loss: 0.0548 (0.0685) loss_seg: 0.0568 (0.0737) loss_lansim: 0.1086 (0.0972) loss_contra: 0.0001 (0.0046) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [18] [3040/5278] eta: 1:34:18 lr: 2.8505161218936715e-05 loss: 0.0570 (0.0685) loss_seg: 0.0593 (0.0738) loss_lansim: 0.1084 (0.0972) loss_contra: 0.0001 (0.0046) time: 2.5326 data: 0.0024 max mem: 31671 Epoch: [18] [3050/5278] eta: 1:33:52 lr: 2.8502892392180892e-05 loss: 0.0570 (0.0685) loss_seg: 0.0593 (0.0738) loss_lansim: 0.1084 (0.0973) loss_contra: 0.0001 (0.0046) time: 2.5250 data: 0.0024 max mem: 31671 Epoch: [18] [3060/5278] eta: 1:33:28 lr: 2.8500623545358395e-05 loss: 0.0570 (0.0685) loss_seg: 0.0575 (0.0738) loss_lansim: 0.1084 (0.0974) loss_contra: 0.0001 (0.0045) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [18] [3070/5278] eta: 1:33:02 lr: 2.8498354678467298e-05 loss: 0.0570 (0.0685) loss_seg: 0.0575 (0.0738) loss_lansim: 0.1091 (0.0975) loss_contra: 0.0001 (0.0045) time: 2.5300 data: 0.0024 max mem: 31671 Epoch: [18] [3080/5278] eta: 1:32:36 lr: 2.8496085791505633e-05 loss: 0.0602 (0.0686) loss_seg: 0.0655 (0.0739) loss_lansim: 0.1111 (0.0976) loss_contra: 0.0001 (0.0046) time: 2.5263 data: 0.0024 max mem: 31671 Epoch: [18] [3090/5278] eta: 1:32:11 lr: 2.8493816884471446e-05 loss: 0.0605 (0.0685) loss_seg: 0.0663 (0.0738) loss_lansim: 0.1114 (0.0976) loss_contra: 0.0001 (0.0046) time: 2.5189 data: 0.0024 max mem: 31671 Epoch: [18] [3100/5278] eta: 1:31:46 lr: 2.8491547957362795e-05 loss: 0.0605 (0.0685) loss_seg: 0.0663 (0.0737) loss_lansim: 0.1129 (0.0977) loss_contra: 0.0001 (0.0045) time: 2.5187 data: 0.0024 max mem: 31671 Epoch: [18] [3110/5278] eta: 1:31:20 lr: 2.8489279010177715e-05 loss: 0.0612 (0.0686) loss_seg: 0.0666 (0.0739) loss_lansim: 0.1161 (0.0978) loss_contra: 0.0001 (0.0048) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [18] [3120/5278] eta: 1:30:55 lr: 2.8487010042914258e-05 loss: 0.0622 (0.0686) loss_seg: 0.0682 (0.0739) loss_lansim: 0.1190 (0.0978) loss_contra: 0.0002 (0.0048) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [18] [3130/5278] eta: 1:30:30 lr: 2.8484741055570468e-05 loss: 0.0606 (0.0686) loss_seg: 0.0661 (0.0738) loss_lansim: 0.1196 (0.0979) loss_contra: 0.0002 (0.0047) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [18] [3140/5278] eta: 1:30:05 lr: 2.8482472048144388e-05 loss: 0.0600 (0.0686) loss_seg: 0.0655 (0.0738) loss_lansim: 0.1211 (0.0980) loss_contra: 0.0002 (0.0048) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [18] [3150/5278] eta: 1:29:40 lr: 2.8480203020634065e-05 loss: 0.0605 (0.0686) loss_seg: 0.0661 (0.0739) loss_lansim: 0.1212 (0.0981) loss_contra: 0.0002 (0.0048) time: 2.5359 data: 0.0025 max mem: 31671 Epoch: [18] [3160/5278] eta: 1:29:14 lr: 2.8477933973037542e-05 loss: 0.0600 (0.0686) loss_seg: 0.0655 (0.0739) loss_lansim: 0.1221 (0.0982) loss_contra: 0.0002 (0.0048) time: 2.5191 data: 0.0025 max mem: 31671 Epoch: [18] [3170/5278] eta: 1:28:49 lr: 2.847566490535286e-05 loss: 0.0584 (0.0686) loss_seg: 0.0622 (0.0739) loss_lansim: 0.1212 (0.0982) loss_contra: 0.0002 (0.0048) time: 2.5224 data: 0.0025 max mem: 31671 Epoch: [18] [3180/5278] eta: 1:28:23 lr: 2.8473395817578068e-05 loss: 0.0547 (0.0685) loss_seg: 0.0591 (0.0738) loss_lansim: 0.1198 (0.0983) loss_contra: 0.0002 (0.0048) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [18] [3190/5278] eta: 1:27:58 lr: 2.847112670971121e-05 loss: 0.0547 (0.0685) loss_seg: 0.0591 (0.0738) loss_lansim: 0.1201 (0.0983) loss_contra: 0.0002 (0.0048) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [18] [3200/5278] eta: 1:27:32 lr: 2.846885758175032e-05 loss: 0.0555 (0.0686) loss_seg: 0.0606 (0.0739) loss_lansim: 0.1198 (0.0984) loss_contra: 0.0002 (0.0049) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [18] [3210/5278] eta: 1:27:07 lr: 2.8466588433693453e-05 loss: 0.0567 (0.0687) loss_seg: 0.0606 (0.0740) loss_lansim: 0.1193 (0.0985) loss_contra: 0.0002 (0.0051) time: 2.5181 data: 0.0024 max mem: 31671 Epoch: [18] [3220/5278] eta: 1:26:42 lr: 2.8464319265538635e-05 loss: 0.0584 (0.0687) loss_seg: 0.0622 (0.0740) loss_lansim: 0.1189 (0.0986) loss_contra: 0.0002 (0.0052) time: 2.5141 data: 0.0024 max mem: 31671 Epoch: [18] [3230/5278] eta: 1:26:16 lr: 2.8462050077283926e-05 loss: 0.0618 (0.0687) loss_seg: 0.0677 (0.0740) loss_lansim: 0.1183 (0.0987) loss_contra: 0.0002 (0.0052) time: 2.5162 data: 0.0024 max mem: 31671 Epoch: [18] [3240/5278] eta: 1:25:51 lr: 2.8459780868927357e-05 loss: 0.0618 (0.0687) loss_seg: 0.0677 (0.0740) loss_lansim: 0.1175 (0.0987) loss_contra: 0.0002 (0.0052) time: 2.5140 data: 0.0024 max mem: 31671 Epoch: [18] [3250/5278] eta: 1:25:26 lr: 2.845751164046696e-05 loss: 0.0632 (0.0687) loss_seg: 0.0677 (0.0740) loss_lansim: 0.1170 (0.0987) loss_contra: 0.0002 (0.0054) time: 2.5116 data: 0.0024 max mem: 31671 Epoch: [18] [3260/5278] eta: 1:25:01 lr: 2.84552423919008e-05 loss: 0.0622 (0.0687) loss_seg: 0.0657 (0.0740) loss_lansim: 0.1170 (0.0988) loss_contra: 0.0003 (0.0054) time: 2.5296 data: 0.0024 max mem: 31671 Epoch: [18] [3270/5278] eta: 1:24:36 lr: 2.8452973123226895e-05 loss: 0.0598 (0.0686) loss_seg: 0.0648 (0.0739) loss_lansim: 0.1170 (0.0989) loss_contra: 0.0006 (0.0055) time: 2.5387 data: 0.0024 max mem: 31671 Epoch: [18] [3280/5278] eta: 1:24:11 lr: 2.8450703834443293e-05 loss: 0.0632 (0.0687) loss_seg: 0.0677 (0.0740) loss_lansim: 0.1170 (0.0989) loss_contra: 0.0006 (0.0058) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [18] [3290/5278] eta: 1:23:46 lr: 2.844843452554804e-05 loss: 0.0632 (0.0687) loss_seg: 0.0664 (0.0740) loss_lansim: 0.1176 (0.0990) loss_contra: 0.0006 (0.0058) time: 2.5343 data: 0.0024 max mem: 31671 Epoch: [18] [3300/5278] eta: 1:23:20 lr: 2.844616519653916e-05 loss: 0.0642 (0.0687) loss_seg: 0.0683 (0.0740) loss_lansim: 0.1189 (0.0991) loss_contra: 0.0006 (0.0058) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [18] [3310/5278] eta: 1:22:55 lr: 2.8443895847414715e-05 loss: 0.0596 (0.0687) loss_seg: 0.0648 (0.0740) loss_lansim: 0.1184 (0.0991) loss_contra: 0.0005 (0.0059) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [18] [3320/5278] eta: 1:22:30 lr: 2.8441626478172718e-05 loss: 0.0589 (0.0687) loss_seg: 0.0620 (0.0740) loss_lansim: 0.1165 (0.0992) loss_contra: 0.0005 (0.0062) time: 2.5464 data: 0.0025 max mem: 31671 Epoch: [18] [3330/5278] eta: 1:22:04 lr: 2.8439357088811218e-05 loss: 0.0538 (0.0687) loss_seg: 0.0584 (0.0739) loss_lansim: 0.1165 (0.0992) loss_contra: 0.0003 (0.0061) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [18] [3340/5278] eta: 1:21:39 lr: 2.843708767932826e-05 loss: 0.0588 (0.0688) loss_seg: 0.0620 (0.0740) loss_lansim: 0.1170 (0.0993) loss_contra: 0.0005 (0.0061) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [18] [3350/5278] eta: 1:21:14 lr: 2.843481824972186e-05 loss: 0.0588 (0.0687) loss_seg: 0.0620 (0.0740) loss_lansim: 0.1184 (0.0994) loss_contra: 0.0004 (0.0061) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [18] [3360/5278] eta: 1:20:49 lr: 2.843254879999009e-05 loss: 0.0566 (0.0687) loss_seg: 0.0617 (0.0739) loss_lansim: 0.1165 (0.0994) loss_contra: 0.0004 (0.0061) time: 2.5310 data: 0.0025 max mem: 31671 Epoch: [18] [3370/5278] eta: 1:20:24 lr: 2.843027933013095e-05 loss: 0.0588 (0.0686) loss_seg: 0.0621 (0.0739) loss_lansim: 0.1178 (0.0995) loss_contra: 0.0003 (0.0061) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [18] [3380/5278] eta: 1:19:58 lr: 2.8428009840142494e-05 loss: 0.0538 (0.0687) loss_seg: 0.0582 (0.0739) loss_lansim: 0.1188 (0.0996) loss_contra: 0.0004 (0.0061) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [18] [3390/5278] eta: 1:19:33 lr: 2.8425740330022767e-05 loss: 0.0565 (0.0687) loss_seg: 0.0582 (0.0739) loss_lansim: 0.1168 (0.0996) loss_contra: 0.0003 (0.0061) time: 2.5282 data: 0.0025 max mem: 31671 Epoch: [18] [3400/5278] eta: 1:19:07 lr: 2.8423470799769787e-05 loss: 0.0534 (0.0687) loss_seg: 0.0576 (0.0740) loss_lansim: 0.1168 (0.0997) loss_contra: 0.0003 (0.0061) time: 2.5225 data: 0.0024 max mem: 31671 Epoch: [18] [3410/5278] eta: 1:18:42 lr: 2.842120124938159e-05 loss: 0.0534 (0.0687) loss_seg: 0.0576 (0.0739) loss_lansim: 0.1179 (0.0998) loss_contra: 0.0003 (0.0061) time: 2.5320 data: 0.0024 max mem: 31671 Epoch: [18] [3420/5278] eta: 1:18:17 lr: 2.841893167885623e-05 loss: 0.0538 (0.0687) loss_seg: 0.0576 (0.0739) loss_lansim: 0.1168 (0.0998) loss_contra: 0.0002 (0.0061) time: 2.5204 data: 0.0024 max mem: 31671 Epoch: [18] [3430/5278] eta: 1:17:51 lr: 2.8416662088191713e-05 loss: 0.0538 (0.0687) loss_seg: 0.0576 (0.0739) loss_lansim: 0.1176 (0.0998) loss_contra: 0.0002 (0.0061) time: 2.5246 data: 0.0024 max mem: 31671 Epoch: [18] [3440/5278] eta: 1:17:26 lr: 2.8414392477386097e-05 loss: 0.0534 (0.0687) loss_seg: 0.0574 (0.0739) loss_lansim: 0.1159 (0.0999) loss_contra: 0.0002 (0.0061) time: 2.5200 data: 0.0024 max mem: 31671 Epoch: [18] [3450/5278] eta: 1:17:01 lr: 2.8412122846437407e-05 loss: 0.0516 (0.0686) loss_seg: 0.0553 (0.0739) loss_lansim: 0.1156 (0.0999) loss_contra: 0.0002 (0.0061) time: 2.5200 data: 0.0024 max mem: 31671 Epoch: [18] [3460/5278] eta: 1:16:35 lr: 2.8409853195343672e-05 loss: 0.0534 (0.0687) loss_seg: 0.0574 (0.0739) loss_lansim: 0.1143 (0.0999) loss_contra: 0.0001 (0.0060) time: 2.5134 data: 0.0024 max mem: 31671 Epoch: [18] [3470/5278] eta: 1:16:10 lr: 2.8407583524102936e-05 loss: 0.0539 (0.0686) loss_seg: 0.0582 (0.0739) loss_lansim: 0.1126 (0.0999) loss_contra: 0.0001 (0.0061) time: 2.5072 data: 0.0024 max mem: 31671 Epoch: [18] [3480/5278] eta: 1:15:45 lr: 2.840531383271322e-05 loss: 0.0542 (0.0686) loss_seg: 0.0598 (0.0739) loss_lansim: 0.1117 (0.1000) loss_contra: 0.0001 (0.0061) time: 2.5095 data: 0.0025 max mem: 31671 Epoch: [18] [3490/5278] eta: 1:15:19 lr: 2.8403044121172555e-05 loss: 0.0542 (0.0686) loss_seg: 0.0597 (0.0738) loss_lansim: 0.1106 (0.1000) loss_contra: 0.0001 (0.0061) time: 2.5186 data: 0.0025 max mem: 31671 Epoch: [18] [3500/5278] eta: 1:14:54 lr: 2.840077438947899e-05 loss: 0.0538 (0.0686) loss_seg: 0.0573 (0.0738) loss_lansim: 0.1104 (0.1000) loss_contra: 0.0001 (0.0061) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [18] [3510/5278] eta: 1:14:29 lr: 2.8398504637630536e-05 loss: 0.0542 (0.0686) loss_seg: 0.0597 (0.0738) loss_lansim: 0.1106 (0.1001) loss_contra: 0.0001 (0.0061) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [18] [3520/5278] eta: 1:14:05 lr: 2.8396234865625243e-05 loss: 0.0527 (0.0685) loss_seg: 0.0553 (0.0738) loss_lansim: 0.1094 (0.1001) loss_contra: 0.0001 (0.0061) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [18] [3530/5278] eta: 1:13:39 lr: 2.8393965073461125e-05 loss: 0.0539 (0.0685) loss_seg: 0.0553 (0.0737) loss_lansim: 0.1087 (0.1001) loss_contra: 0.0001 (0.0061) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [18] [3540/5278] eta: 1:13:14 lr: 2.839169526113622e-05 loss: 0.0557 (0.0686) loss_seg: 0.0608 (0.0739) loss_lansim: 0.1097 (0.1001) loss_contra: 0.0001 (0.0061) time: 2.5472 data: 0.0026 max mem: 31671 Epoch: [18] [3550/5278] eta: 1:12:49 lr: 2.8389425428648563e-05 loss: 0.0600 (0.0687) loss_seg: 0.0661 (0.0739) loss_lansim: 0.1103 (0.1002) loss_contra: 0.0001 (0.0061) time: 2.5415 data: 0.0026 max mem: 31671 Epoch: [18] [3560/5278] eta: 1:12:23 lr: 2.8387155575996165e-05 loss: 0.0600 (0.0686) loss_seg: 0.0661 (0.0739) loss_lansim: 0.1103 (0.1002) loss_contra: 0.0001 (0.0060) time: 2.5495 data: 0.0026 max mem: 31671 Epoch: [18] [3570/5278] eta: 1:11:58 lr: 2.838488570317709e-05 loss: 0.0619 (0.0687) loss_seg: 0.0665 (0.0740) loss_lansim: 0.1103 (0.1003) loss_contra: 0.0001 (0.0060) time: 2.5555 data: 0.0026 max mem: 31671 Epoch: [18] [3580/5278] eta: 1:11:33 lr: 2.8382615810189327e-05 loss: 0.0600 (0.0687) loss_seg: 0.0661 (0.0739) loss_lansim: 0.1103 (0.1003) loss_contra: 0.0001 (0.0061) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [18] [3590/5278] eta: 1:11:08 lr: 2.838034589703093e-05 loss: 0.0628 (0.0687) loss_seg: 0.0681 (0.0739) loss_lansim: 0.1103 (0.1003) loss_contra: 0.0001 (0.0061) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [18] [3600/5278] eta: 1:10:42 lr: 2.8378075963699925e-05 loss: 0.0662 (0.0687) loss_seg: 0.0709 (0.0740) loss_lansim: 0.1101 (0.1003) loss_contra: 0.0001 (0.0060) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [18] [3610/5278] eta: 1:10:17 lr: 2.837580601019433e-05 loss: 0.0643 (0.0687) loss_seg: 0.0692 (0.0740) loss_lansim: 0.1067 (0.1003) loss_contra: 0.0001 (0.0060) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [18] [3620/5278] eta: 1:09:52 lr: 2.8373536036512176e-05 loss: 0.0683 (0.0688) loss_seg: 0.0743 (0.0741) loss_lansim: 0.1086 (0.1004) loss_contra: 0.0000 (0.0061) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [18] [3630/5278] eta: 1:09:26 lr: 2.8371266042651495e-05 loss: 0.0672 (0.0688) loss_seg: 0.0734 (0.0740) loss_lansim: 0.1076 (0.1004) loss_contra: 0.0000 (0.0060) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [18] [3640/5278] eta: 1:09:01 lr: 2.83689960286103e-05 loss: 0.0628 (0.0688) loss_seg: 0.0681 (0.0740) loss_lansim: 0.1067 (0.1004) loss_contra: 0.0000 (0.0060) time: 2.5144 data: 0.0025 max mem: 31671 Epoch: [18] [3650/5278] eta: 1:08:35 lr: 2.8366725994386643e-05 loss: 0.0589 (0.0688) loss_seg: 0.0641 (0.0740) loss_lansim: 0.1060 (0.1005) loss_contra: 0.0000 (0.0060) time: 2.5189 data: 0.0025 max mem: 31671 Epoch: [18] [3660/5278] eta: 1:08:10 lr: 2.836445593997853e-05 loss: 0.0563 (0.0687) loss_seg: 0.0621 (0.0740) loss_lansim: 0.1057 (0.1005) loss_contra: 0.0001 (0.0060) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [18] [3670/5278] eta: 1:07:45 lr: 2.8362185865383984e-05 loss: 0.0528 (0.0686) loss_seg: 0.0572 (0.0739) loss_lansim: 0.1060 (0.1005) loss_contra: 0.0000 (0.0060) time: 2.5064 data: 0.0025 max mem: 31671 Epoch: [18] [3680/5278] eta: 1:07:19 lr: 2.8359915770601048e-05 loss: 0.0549 (0.0687) loss_seg: 0.0580 (0.0739) loss_lansim: 0.1060 (0.1005) loss_contra: 0.0000 (0.0060) time: 2.5058 data: 0.0024 max mem: 31671 Epoch: [18] [3690/5278] eta: 1:06:54 lr: 2.835764565562773e-05 loss: 0.0576 (0.0687) loss_seg: 0.0621 (0.0740) loss_lansim: 0.1064 (0.1006) loss_contra: 0.0000 (0.0060) time: 2.5083 data: 0.0024 max mem: 31671 Epoch: [18] [3700/5278] eta: 1:06:29 lr: 2.8355375520462062e-05 loss: 0.0563 (0.0687) loss_seg: 0.0581 (0.0739) loss_lansim: 0.1085 (0.1006) loss_contra: 0.0001 (0.0060) time: 2.5118 data: 0.0024 max mem: 31671 Epoch: [18] [3710/5278] eta: 1:06:03 lr: 2.835310536510207e-05 loss: 0.0565 (0.0687) loss_seg: 0.0604 (0.0739) loss_lansim: 0.1089 (0.1006) loss_contra: 0.0001 (0.0059) time: 2.5013 data: 0.0024 max mem: 31671 Epoch: [18] [3720/5278] eta: 1:05:38 lr: 2.8350835189545766e-05 loss: 0.0549 (0.0687) loss_seg: 0.0574 (0.0740) loss_lansim: 0.1091 (0.1007) loss_contra: 0.0001 (0.0059) time: 2.4990 data: 0.0024 max mem: 31671 Epoch: [18] [3730/5278] eta: 1:05:12 lr: 2.8348564993791193e-05 loss: 0.0576 (0.0687) loss_seg: 0.0581 (0.0739) loss_lansim: 0.1101 (0.1007) loss_contra: 0.0001 (0.0059) time: 2.5008 data: 0.0024 max mem: 31671 Epoch: [18] [3740/5278] eta: 1:04:47 lr: 2.8346294777836356e-05 loss: 0.0578 (0.0687) loss_seg: 0.0624 (0.0739) loss_lansim: 0.1101 (0.1007) loss_contra: 0.0001 (0.0059) time: 2.5051 data: 0.0024 max mem: 31671 Epoch: [18] [3750/5278] eta: 1:04:22 lr: 2.8344024541679288e-05 loss: 0.0549 (0.0687) loss_seg: 0.0575 (0.0739) loss_lansim: 0.1101 (0.1007) loss_contra: 0.0001 (0.0059) time: 2.5074 data: 0.0024 max mem: 31671 Epoch: [18] [3760/5278] eta: 1:03:56 lr: 2.834175428531801e-05 loss: 0.0576 (0.0687) loss_seg: 0.0575 (0.0739) loss_lansim: 0.1106 (0.1008) loss_contra: 0.0001 (0.0059) time: 2.5086 data: 0.0024 max mem: 31671 Epoch: [18] [3770/5278] eta: 1:03:31 lr: 2.833948400875054e-05 loss: 0.0579 (0.0686) loss_seg: 0.0632 (0.0738) loss_lansim: 0.1108 (0.1008) loss_contra: 0.0001 (0.0059) time: 2.5041 data: 0.0023 max mem: 31671 Epoch: [18] [3780/5278] eta: 1:03:05 lr: 2.8337213711974898e-05 loss: 0.0579 (0.0686) loss_seg: 0.0632 (0.0738) loss_lansim: 0.1101 (0.1008) loss_contra: 0.0001 (0.0060) time: 2.4968 data: 0.0023 max mem: 31671 Epoch: [18] [3790/5278] eta: 1:02:40 lr: 2.8334943394989112e-05 loss: 0.0559 (0.0687) loss_seg: 0.0604 (0.0739) loss_lansim: 0.1099 (0.1008) loss_contra: 0.0001 (0.0060) time: 2.5055 data: 0.0024 max mem: 31671 Epoch: [18] [3800/5278] eta: 1:02:15 lr: 2.8332673057791198e-05 loss: 0.0579 (0.0687) loss_seg: 0.0632 (0.0739) loss_lansim: 0.1099 (0.1009) loss_contra: 0.0001 (0.0059) time: 2.5069 data: 0.0023 max mem: 31671 Epoch: [18] [3810/5278] eta: 1:01:49 lr: 2.8330402700379182e-05 loss: 0.0579 (0.0687) loss_seg: 0.0632 (0.0739) loss_lansim: 0.1130 (0.1009) loss_contra: 0.0001 (0.0059) time: 2.5079 data: 0.0023 max mem: 31671 Epoch: [18] [3820/5278] eta: 1:01:24 lr: 2.8328132322751078e-05 loss: 0.0562 (0.0687) loss_seg: 0.0614 (0.0739) loss_lansim: 0.1130 (0.1010) loss_contra: 0.0001 (0.0059) time: 2.5027 data: 0.0023 max mem: 31671 Epoch: [18] [3830/5278] eta: 1:00:58 lr: 2.8325861924904907e-05 loss: 0.0549 (0.0687) loss_seg: 0.0596 (0.0739) loss_lansim: 0.1117 (0.1010) loss_contra: 0.0001 (0.0059) time: 2.5043 data: 0.0023 max mem: 31671 Epoch: [18] [3840/5278] eta: 1:00:33 lr: 2.832359150683869e-05 loss: 0.0532 (0.0687) loss_seg: 0.0557 (0.0739) loss_lansim: 0.1089 (0.1010) loss_contra: 0.0001 (0.0059) time: 2.5004 data: 0.0024 max mem: 31671 Epoch: [18] [3850/5278] eta: 1:00:08 lr: 2.8321321068550444e-05 loss: 0.0562 (0.0688) loss_seg: 0.0614 (0.0740) loss_lansim: 0.1116 (0.1010) loss_contra: 0.0001 (0.0059) time: 2.5012 data: 0.0024 max mem: 31671 Epoch: [18] [3860/5278] eta: 0:59:43 lr: 2.8319050610038188e-05 loss: 0.0571 (0.0688) loss_seg: 0.0615 (0.0740) loss_lansim: 0.1116 (0.1010) loss_contra: 0.0001 (0.0059) time: 2.5065 data: 0.0024 max mem: 31671 Epoch: [18] [3870/5278] eta: 0:59:18 lr: 2.8316780131299948e-05 loss: 0.0608 (0.0689) loss_seg: 0.0650 (0.0741) loss_lansim: 0.1116 (0.1011) loss_contra: 0.0001 (0.0059) time: 2.5163 data: 0.0024 max mem: 31671 Epoch: [18] [3880/5278] eta: 0:58:52 lr: 2.8314509632333723e-05 loss: 0.0604 (0.0689) loss_seg: 0.0635 (0.0741) loss_lansim: 0.1107 (0.1011) loss_contra: 0.0001 (0.0059) time: 2.5169 data: 0.0024 max mem: 31671 Epoch: [18] [3890/5278] eta: 0:58:27 lr: 2.8312239113137557e-05 loss: 0.0578 (0.0689) loss_seg: 0.0624 (0.0741) loss_lansim: 0.1102 (0.1011) loss_contra: 0.0001 (0.0058) time: 2.5115 data: 0.0024 max mem: 31671 Epoch: [18] [3900/5278] eta: 0:58:02 lr: 2.830996857370944e-05 loss: 0.0561 (0.0688) loss_seg: 0.0596 (0.0740) loss_lansim: 0.1102 (0.1012) loss_contra: 0.0001 (0.0059) time: 2.5073 data: 0.0024 max mem: 31671 Epoch: [18] [3910/5278] eta: 0:57:36 lr: 2.8307698014047402e-05 loss: 0.0571 (0.0690) loss_seg: 0.0617 (0.0743) loss_lansim: 0.1102 (0.1012) loss_contra: 0.0001 (0.0059) time: 2.5110 data: 0.0024 max mem: 31671 Epoch: [18] [3920/5278] eta: 0:57:11 lr: 2.8305427434149467e-05 loss: 0.0567 (0.0690) loss_seg: 0.0615 (0.0742) loss_lansim: 0.1101 (0.1012) loss_contra: 0.0001 (0.0058) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [18] [3930/5278] eta: 0:56:46 lr: 2.8303156834013627e-05 loss: 0.0576 (0.0690) loss_seg: 0.0624 (0.0743) loss_lansim: 0.1101 (0.1012) loss_contra: 0.0001 (0.0058) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [18] [3940/5278] eta: 0:56:21 lr: 2.830088621363793e-05 loss: 0.0591 (0.0690) loss_seg: 0.0635 (0.0743) loss_lansim: 0.1102 (0.1013) loss_contra: 0.0001 (0.0058) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [18] [3950/5278] eta: 0:55:55 lr: 2.8298615573020365e-05 loss: 0.0591 (0.0691) loss_seg: 0.0635 (0.0743) loss_lansim: 0.1096 (0.1013) loss_contra: 0.0001 (0.0058) time: 2.5329 data: 0.0024 max mem: 31671 Epoch: [18] [3960/5278] eta: 0:55:30 lr: 2.8296344912158955e-05 loss: 0.0594 (0.0691) loss_seg: 0.0649 (0.0743) loss_lansim: 0.1096 (0.1013) loss_contra: 0.0001 (0.0058) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [18] [3970/5278] eta: 0:55:05 lr: 2.8294074231051726e-05 loss: 0.0601 (0.0691) loss_seg: 0.0659 (0.0744) loss_lansim: 0.1092 (0.1013) loss_contra: 0.0001 (0.0058) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [18] [3980/5278] eta: 0:54:40 lr: 2.8291803529696676e-05 loss: 0.0597 (0.0692) loss_seg: 0.0656 (0.0744) loss_lansim: 0.1096 (0.1013) loss_contra: 0.0001 (0.0058) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [18] [3990/5278] eta: 0:54:14 lr: 2.8289532808091822e-05 loss: 0.0597 (0.0692) loss_seg: 0.0645 (0.0744) loss_lansim: 0.1110 (0.1014) loss_contra: 0.0001 (0.0058) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [18] [4000/5278] eta: 0:53:49 lr: 2.8287262066235183e-05 loss: 0.0601 (0.0692) loss_seg: 0.0649 (0.0744) loss_lansim: 0.1096 (0.1014) loss_contra: 0.0001 (0.0058) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [18] [4010/5278] eta: 0:53:24 lr: 2.8284991304124764e-05 loss: 0.0601 (0.0692) loss_seg: 0.0649 (0.0744) loss_lansim: 0.1096 (0.1014) loss_contra: 0.0001 (0.0058) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [18] [4020/5278] eta: 0:52:58 lr: 2.8282720521758588e-05 loss: 0.0601 (0.0691) loss_seg: 0.0645 (0.0743) loss_lansim: 0.1096 (0.1014) loss_contra: 0.0001 (0.0058) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [18] [4030/5278] eta: 0:52:33 lr: 2.828044971913466e-05 loss: 0.0610 (0.0691) loss_seg: 0.0659 (0.0744) loss_lansim: 0.1071 (0.1014) loss_contra: 0.0001 (0.0058) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [18] [4040/5278] eta: 0:52:08 lr: 2.827817889625099e-05 loss: 0.0616 (0.0692) loss_seg: 0.0659 (0.0745) loss_lansim: 0.1075 (0.1015) loss_contra: 0.0001 (0.0058) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [18] [4050/5278] eta: 0:51:42 lr: 2.8275908053105605e-05 loss: 0.0618 (0.0692) loss_seg: 0.0672 (0.0745) loss_lansim: 0.1075 (0.1015) loss_contra: 0.0001 (0.0058) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [18] [4060/5278] eta: 0:51:17 lr: 2.827363718969649e-05 loss: 0.0612 (0.0692) loss_seg: 0.0645 (0.0745) loss_lansim: 0.1080 (0.1015) loss_contra: 0.0001 (0.0058) time: 2.5001 data: 0.0024 max mem: 31671 Epoch: [18] [4070/5278] eta: 0:50:52 lr: 2.827136630602168e-05 loss: 0.0592 (0.0692) loss_seg: 0.0609 (0.0744) loss_lansim: 0.1108 (0.1015) loss_contra: 0.0001 (0.0057) time: 2.5001 data: 0.0024 max mem: 31671 Epoch: [18] [4080/5278] eta: 0:50:27 lr: 2.826909540207917e-05 loss: 0.0610 (0.0692) loss_seg: 0.0645 (0.0744) loss_lansim: 0.1121 (0.1016) loss_contra: 0.0001 (0.0057) time: 2.5113 data: 0.0024 max mem: 31671 Epoch: [18] [4090/5278] eta: 0:50:02 lr: 2.8266824477866977e-05 loss: 0.0616 (0.0692) loss_seg: 0.0672 (0.0744) loss_lansim: 0.1131 (0.1016) loss_contra: 0.0001 (0.0057) time: 2.5209 data: 0.0024 max mem: 31671 Epoch: [18] [4100/5278] eta: 0:49:36 lr: 2.8264553533383113e-05 loss: 0.0621 (0.0692) loss_seg: 0.0683 (0.0745) loss_lansim: 0.1137 (0.1017) loss_contra: 0.0001 (0.0057) time: 2.5321 data: 0.0024 max mem: 31671 Epoch: [18] [4110/5278] eta: 0:49:11 lr: 2.826228256862558e-05 loss: 0.0620 (0.0692) loss_seg: 0.0682 (0.0745) loss_lansim: 0.1113 (0.1017) loss_contra: 0.0001 (0.0057) time: 2.5321 data: 0.0024 max mem: 31671 Epoch: [18] [4120/5278] eta: 0:48:46 lr: 2.826001158359239e-05 loss: 0.0637 (0.0692) loss_seg: 0.0683 (0.0744) loss_lansim: 0.1137 (0.1017) loss_contra: 0.0001 (0.0057) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [18] [4130/5278] eta: 0:48:21 lr: 2.825774057828156e-05 loss: 0.0620 (0.0692) loss_seg: 0.0675 (0.0745) loss_lansim: 0.1139 (0.1017) loss_contra: 0.0001 (0.0057) time: 2.5365 data: 0.0024 max mem: 31671 Epoch: [18] [4140/5278] eta: 0:47:55 lr: 2.8255469552691078e-05 loss: 0.0616 (0.0692) loss_seg: 0.0658 (0.0744) loss_lansim: 0.1143 (0.1018) loss_contra: 0.0001 (0.0057) time: 2.5307 data: 0.0024 max mem: 31671 Epoch: [18] [4150/5278] eta: 0:47:30 lr: 2.8253198506818973e-05 loss: 0.0616 (0.0692) loss_seg: 0.0658 (0.0744) loss_lansim: 0.1157 (0.1018) loss_contra: 0.0001 (0.0057) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [18] [4160/5278] eta: 0:47:05 lr: 2.8250927440663237e-05 loss: 0.0600 (0.0692) loss_seg: 0.0646 (0.0744) loss_lansim: 0.1152 (0.1018) loss_contra: 0.0001 (0.0057) time: 2.5368 data: 0.0024 max mem: 31671 Epoch: [18] [4170/5278] eta: 0:46:39 lr: 2.8248656354221886e-05 loss: 0.0588 (0.0691) loss_seg: 0.0641 (0.0744) loss_lansim: 0.1137 (0.1018) loss_contra: 0.0001 (0.0057) time: 2.5400 data: 0.0025 max mem: 31671 Epoch: [18] [4180/5278] eta: 0:46:14 lr: 2.824638524749293e-05 loss: 0.0576 (0.0691) loss_seg: 0.0620 (0.0743) loss_lansim: 0.1114 (0.1018) loss_contra: 0.0001 (0.0057) time: 2.5373 data: 0.0024 max mem: 31671 Epoch: [18] [4190/5278] eta: 0:45:49 lr: 2.8244114120474365e-05 loss: 0.0555 (0.0691) loss_seg: 0.0586 (0.0743) loss_lansim: 0.1113 (0.1019) loss_contra: 0.0001 (0.0057) time: 2.5326 data: 0.0024 max mem: 31671 Epoch: [18] [4200/5278] eta: 0:45:24 lr: 2.82418429731642e-05 loss: 0.0555 (0.0692) loss_seg: 0.0586 (0.0744) loss_lansim: 0.1113 (0.1019) loss_contra: 0.0001 (0.0057) time: 2.5338 data: 0.0024 max mem: 31671 Epoch: [18] [4210/5278] eta: 0:44:59 lr: 2.823957180556045e-05 loss: 0.0556 (0.0691) loss_seg: 0.0606 (0.0744) loss_lansim: 0.1114 (0.1019) loss_contra: 0.0001 (0.0057) time: 2.5310 data: 0.0024 max mem: 31671 Epoch: [18] [4220/5278] eta: 0:44:33 lr: 2.8237300617661096e-05 loss: 0.0551 (0.0691) loss_seg: 0.0586 (0.0744) loss_lansim: 0.1103 (0.1019) loss_contra: 0.0002 (0.0057) time: 2.5347 data: 0.0024 max mem: 31671 Epoch: [18] [4230/5278] eta: 0:44:08 lr: 2.8235029409464176e-05 loss: 0.0555 (0.0691) loss_seg: 0.0606 (0.0743) loss_lansim: 0.1096 (0.1019) loss_contra: 0.0002 (0.0056) time: 2.5326 data: 0.0024 max mem: 31671 Epoch: [18] [4240/5278] eta: 0:43:43 lr: 2.8232758180967668e-05 loss: 0.0581 (0.0692) loss_seg: 0.0620 (0.0744) loss_lansim: 0.1102 (0.1020) loss_contra: 0.0002 (0.0056) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [18] [4250/5278] eta: 0:43:17 lr: 2.8230486932169586e-05 loss: 0.0581 (0.0692) loss_seg: 0.0620 (0.0744) loss_lansim: 0.1087 (0.1020) loss_contra: 0.0001 (0.0056) time: 2.5363 data: 0.0024 max mem: 31671 Epoch: [18] [4260/5278] eta: 0:42:52 lr: 2.8228215663067935e-05 loss: 0.0599 (0.0692) loss_seg: 0.0640 (0.0744) loss_lansim: 0.1059 (0.1020) loss_contra: 0.0001 (0.0056) time: 2.5333 data: 0.0024 max mem: 31671 Epoch: [18] [4270/5278] eta: 0:42:27 lr: 2.822594437366071e-05 loss: 0.0614 (0.0692) loss_seg: 0.0642 (0.0744) loss_lansim: 0.1059 (0.1020) loss_contra: 0.0001 (0.0056) time: 2.5265 data: 0.0024 max mem: 31671 Epoch: [18] [4280/5278] eta: 0:42:01 lr: 2.822367306394593e-05 loss: 0.0614 (0.0692) loss_seg: 0.0640 (0.0744) loss_lansim: 0.1067 (0.1020) loss_contra: 0.0001 (0.0056) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [18] [4290/5278] eta: 0:41:36 lr: 2.8221401733921587e-05 loss: 0.0640 (0.0692) loss_seg: 0.0688 (0.0744) loss_lansim: 0.1057 (0.1020) loss_contra: 0.0001 (0.0056) time: 2.5123 data: 0.0024 max mem: 31671 Epoch: [18] [4300/5278] eta: 0:41:11 lr: 2.8219130383585678e-05 loss: 0.0627 (0.0692) loss_seg: 0.0664 (0.0744) loss_lansim: 0.1045 (0.1020) loss_contra: 0.0001 (0.0056) time: 2.5030 data: 0.0024 max mem: 31671 Epoch: [18] [4310/5278] eta: 0:40:45 lr: 2.821685901293622e-05 loss: 0.0614 (0.0693) loss_seg: 0.0640 (0.0746) loss_lansim: 0.1053 (0.1020) loss_contra: 0.0001 (0.0058) time: 2.5105 data: 0.0024 max mem: 31671 Epoch: [18] [4320/5278] eta: 0:40:20 lr: 2.82145876219712e-05 loss: 0.0650 (0.0693) loss_seg: 0.0678 (0.0746) loss_lansim: 0.1057 (0.1021) loss_contra: 0.0001 (0.0058) time: 2.5082 data: 0.0024 max mem: 31671 Epoch: [18] [4330/5278] eta: 0:39:55 lr: 2.8212316210688622e-05 loss: 0.0626 (0.0693) loss_seg: 0.0664 (0.0745) loss_lansim: 0.1057 (0.1021) loss_contra: 0.0001 (0.0058) time: 2.5129 data: 0.0024 max mem: 31671 Epoch: [18] [4340/5278] eta: 0:39:30 lr: 2.821004477908649e-05 loss: 0.0603 (0.0693) loss_seg: 0.0638 (0.0746) loss_lansim: 0.1057 (0.1021) loss_contra: 0.0001 (0.0058) time: 2.5120 data: 0.0024 max mem: 31671 Epoch: [18] [4350/5278] eta: 0:39:04 lr: 2.82077733271628e-05 loss: 0.0578 (0.0693) loss_seg: 0.0633 (0.0746) loss_lansim: 0.1077 (0.1021) loss_contra: 0.0001 (0.0058) time: 2.5101 data: 0.0024 max mem: 31671 Epoch: [18] [4360/5278] eta: 0:38:39 lr: 2.8205501854915567e-05 loss: 0.0578 (0.0694) loss_seg: 0.0629 (0.0746) loss_lansim: 0.1092 (0.1022) loss_contra: 0.0001 (0.0058) time: 2.5102 data: 0.0024 max mem: 31671 Epoch: [18] [4370/5278] eta: 0:38:14 lr: 2.8203230362342768e-05 loss: 0.0578 (0.0694) loss_seg: 0.0633 (0.0746) loss_lansim: 0.1092 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5111 data: 0.0024 max mem: 31671 Epoch: [18] [4380/5278] eta: 0:37:48 lr: 2.8200958849442415e-05 loss: 0.0581 (0.0694) loss_seg: 0.0635 (0.0746) loss_lansim: 0.1083 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5160 data: 0.0024 max mem: 31671 Epoch: [18] [4390/5278] eta: 0:37:23 lr: 2.8198687316212513e-05 loss: 0.0581 (0.0694) loss_seg: 0.0635 (0.0746) loss_lansim: 0.1084 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5106 data: 0.0024 max mem: 31671 Epoch: [18] [4400/5278] eta: 0:36:58 lr: 2.8196415762651045e-05 loss: 0.0591 (0.0694) loss_seg: 0.0640 (0.0746) loss_lansim: 0.1083 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5166 data: 0.0024 max mem: 31671 Epoch: [18] [4410/5278] eta: 0:36:33 lr: 2.8194144188756016e-05 loss: 0.0647 (0.0695) loss_seg: 0.0691 (0.0747) loss_lansim: 0.1070 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5174 data: 0.0024 max mem: 31671 Epoch: [18] [4420/5278] eta: 0:36:07 lr: 2.8191872594525433e-05 loss: 0.0578 (0.0695) loss_seg: 0.0635 (0.0747) loss_lansim: 0.1057 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5202 data: 0.0024 max mem: 31671 Epoch: [18] [4430/5278] eta: 0:35:42 lr: 2.818960097995727e-05 loss: 0.0577 (0.0694) loss_seg: 0.0613 (0.0747) loss_lansim: 0.1069 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5136 data: 0.0024 max mem: 31671 Epoch: [18] [4440/5278] eta: 0:35:17 lr: 2.8187329345049547e-05 loss: 0.0551 (0.0694) loss_seg: 0.0588 (0.0746) loss_lansim: 0.1047 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5108 data: 0.0024 max mem: 31671 Epoch: [18] [4450/5278] eta: 0:34:51 lr: 2.818505768980025e-05 loss: 0.0572 (0.0694) loss_seg: 0.0589 (0.0746) loss_lansim: 0.1043 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5178 data: 0.0024 max mem: 31671 Epoch: [18] [4460/5278] eta: 0:34:26 lr: 2.8182786014207374e-05 loss: 0.0575 (0.0694) loss_seg: 0.0635 (0.0747) loss_lansim: 0.1027 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5328 data: 0.0024 max mem: 31671 Epoch: [18] [4470/5278] eta: 0:34:01 lr: 2.8180514318268924e-05 loss: 0.0575 (0.0694) loss_seg: 0.0635 (0.0747) loss_lansim: 0.1013 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5364 data: 0.0024 max mem: 31671 Epoch: [18] [4480/5278] eta: 0:33:36 lr: 2.8178242601982886e-05 loss: 0.0572 (0.0694) loss_seg: 0.0630 (0.0746) loss_lansim: 0.1025 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5476 data: 0.0024 max mem: 31671 Epoch: [18] [4490/5278] eta: 0:33:11 lr: 2.8175970865347257e-05 loss: 0.0575 (0.0694) loss_seg: 0.0635 (0.0747) loss_lansim: 0.1013 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [18] [4500/5278] eta: 0:32:46 lr: 2.8173699108360035e-05 loss: 0.0547 (0.0694) loss_seg: 0.0588 (0.0746) loss_lansim: 0.1013 (0.1022) loss_contra: 0.0001 (0.0057) time: 2.5539 data: 0.0025 max mem: 31671 Epoch: [18] [4510/5278] eta: 0:32:20 lr: 2.8171427331019202e-05 loss: 0.0561 (0.0695) loss_seg: 0.0599 (0.0747) loss_lansim: 0.1029 (0.1023) loss_contra: 0.0001 (0.0057) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [18] [4520/5278] eta: 0:31:55 lr: 2.8169155533322777e-05 loss: 0.0596 (0.0695) loss_seg: 0.0657 (0.0747) loss_lansim: 0.1040 (0.1023) loss_contra: 0.0001 (0.0057) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [18] [4530/5278] eta: 0:31:30 lr: 2.8166883715268725e-05 loss: 0.0600 (0.0694) loss_seg: 0.0663 (0.0747) loss_lansim: 0.1029 (0.1023) loss_contra: 0.0001 (0.0057) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [18] [4540/5278] eta: 0:31:04 lr: 2.816461187685506e-05 loss: 0.0600 (0.0694) loss_seg: 0.0630 (0.0746) loss_lansim: 0.1040 (0.1023) loss_contra: 0.0001 (0.0057) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [18] [4550/5278] eta: 0:30:39 lr: 2.8162340018079775e-05 loss: 0.0561 (0.0694) loss_seg: 0.0610 (0.0746) loss_lansim: 0.1045 (0.1023) loss_contra: 0.0001 (0.0056) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [18] [4560/5278] eta: 0:30:14 lr: 2.8160068138940838e-05 loss: 0.0547 (0.0693) loss_seg: 0.0578 (0.0746) loss_lansim: 0.1041 (0.1023) loss_contra: 0.0001 (0.0056) time: 2.5487 data: 0.0025 max mem: 31671 Epoch: [18] [4570/5278] eta: 0:29:49 lr: 2.8157796239436274e-05 loss: 0.0555 (0.0693) loss_seg: 0.0581 (0.0746) loss_lansim: 0.1049 (0.1023) loss_contra: 0.0001 (0.0057) time: 2.5421 data: 0.0025 max mem: 31671 Epoch: [18] [4580/5278] eta: 0:29:23 lr: 2.8155524319564048e-05 loss: 0.0555 (0.0693) loss_seg: 0.0590 (0.0746) loss_lansim: 0.1049 (0.1023) loss_contra: 0.0001 (0.0056) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [18] [4590/5278] eta: 0:28:58 lr: 2.8153252379322166e-05 loss: 0.0555 (0.0693) loss_seg: 0.0581 (0.0745) loss_lansim: 0.1049 (0.1023) loss_contra: 0.0001 (0.0056) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [18] [4600/5278] eta: 0:28:33 lr: 2.815098041870861e-05 loss: 0.0555 (0.0693) loss_seg: 0.0590 (0.0745) loss_lansim: 0.1045 (0.1023) loss_contra: 0.0001 (0.0056) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [18] [4610/5278] eta: 0:28:08 lr: 2.8148708437721384e-05 loss: 0.0521 (0.0692) loss_seg: 0.0572 (0.0745) loss_lansim: 0.1023 (0.1023) loss_contra: 0.0001 (0.0056) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [18] [4620/5278] eta: 0:27:42 lr: 2.814643643635846e-05 loss: 0.0532 (0.0693) loss_seg: 0.0585 (0.0745) loss_lansim: 0.1022 (0.1023) loss_contra: 0.0001 (0.0056) time: 2.5345 data: 0.0024 max mem: 31671 Epoch: [18] [4630/5278] eta: 0:27:17 lr: 2.8144164414617846e-05 loss: 0.0532 (0.0693) loss_seg: 0.0585 (0.0745) loss_lansim: 0.1015 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5315 data: 0.0024 max mem: 31671 Epoch: [18] [4640/5278] eta: 0:26:52 lr: 2.8141892372497508e-05 loss: 0.0532 (0.0692) loss_seg: 0.0585 (0.0745) loss_lansim: 0.1005 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5230 data: 0.0024 max mem: 31671 Epoch: [18] [4650/5278] eta: 0:26:26 lr: 2.8139620309995463e-05 loss: 0.0531 (0.0692) loss_seg: 0.0584 (0.0744) loss_lansim: 0.1015 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [18] [4660/5278] eta: 0:26:01 lr: 2.813734822710968e-05 loss: 0.0545 (0.0692) loss_seg: 0.0596 (0.0744) loss_lansim: 0.1027 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5096 data: 0.0024 max mem: 31671 Epoch: [18] [4670/5278] eta: 0:25:36 lr: 2.813507612383815e-05 loss: 0.0532 (0.0692) loss_seg: 0.0585 (0.0744) loss_lansim: 0.1013 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5111 data: 0.0024 max mem: 31671 Epoch: [18] [4680/5278] eta: 0:25:11 lr: 2.8132804000178877e-05 loss: 0.0532 (0.0692) loss_seg: 0.0586 (0.0744) loss_lansim: 0.1006 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5090 data: 0.0024 max mem: 31671 Epoch: [18] [4690/5278] eta: 0:24:45 lr: 2.8130531856129823e-05 loss: 0.0530 (0.0691) loss_seg: 0.0581 (0.0744) loss_lansim: 0.1005 (0.1023) loss_contra: 0.0001 (0.0056) time: 2.5077 data: 0.0024 max mem: 31671 Epoch: [18] [4700/5278] eta: 0:24:20 lr: 2.812825969168899e-05 loss: 0.0523 (0.0691) loss_seg: 0.0566 (0.0744) loss_lansim: 0.0999 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5022 data: 0.0024 max mem: 31671 Epoch: [18] [4710/5278] eta: 0:23:55 lr: 2.8125987506854367e-05 loss: 0.0531 (0.0691) loss_seg: 0.0584 (0.0744) loss_lansim: 0.1010 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5050 data: 0.0024 max mem: 31671 Epoch: [18] [4720/5278] eta: 0:23:29 lr: 2.8123715301623927e-05 loss: 0.0522 (0.0691) loss_seg: 0.0566 (0.0744) loss_lansim: 0.0986 (0.1023) loss_contra: 0.0000 (0.0056) time: 2.5053 data: 0.0024 max mem: 31671 Epoch: [18] [4730/5278] eta: 0:23:04 lr: 2.8121443075995673e-05 loss: 0.0522 (0.0691) loss_seg: 0.0576 (0.0744) loss_lansim: 0.0992 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5043 data: 0.0024 max mem: 31671 Epoch: [18] [4740/5278] eta: 0:22:39 lr: 2.811917082996758e-05 loss: 0.0530 (0.0691) loss_seg: 0.0581 (0.0743) loss_lansim: 0.0997 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5039 data: 0.0025 max mem: 31671 Epoch: [18] [4750/5278] eta: 0:22:13 lr: 2.811689856353763e-05 loss: 0.0530 (0.0691) loss_seg: 0.0581 (0.0743) loss_lansim: 0.0974 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.4961 data: 0.0025 max mem: 31671 Epoch: [18] [4760/5278] eta: 0:21:48 lr: 2.8114626276703822e-05 loss: 0.0523 (0.0691) loss_seg: 0.0576 (0.0743) loss_lansim: 0.0969 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5011 data: 0.0025 max mem: 31671 Epoch: [18] [4770/5278] eta: 0:21:23 lr: 2.8112353969464116e-05 loss: 0.0536 (0.0691) loss_seg: 0.0586 (0.0743) loss_lansim: 0.0996 (0.1023) loss_contra: 0.0000 (0.0055) time: 2.5057 data: 0.0025 max mem: 31671 Epoch: [18] [4780/5278] eta: 0:20:58 lr: 2.8110081641816534e-05 loss: 0.0540 (0.0691) loss_seg: 0.0589 (0.0743) loss_lansim: 0.0996 (0.1023) loss_contra: 0.0000 (0.0055) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [18] [4790/5278] eta: 0:20:32 lr: 2.810780929375902e-05 loss: 0.0603 (0.0691) loss_seg: 0.0644 (0.0743) loss_lansim: 0.1001 (0.1023) loss_contra: 0.0000 (0.0055) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [18] [4800/5278] eta: 0:20:07 lr: 2.8105536925289578e-05 loss: 0.0603 (0.0691) loss_seg: 0.0644 (0.0743) loss_lansim: 0.1006 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [18] [4810/5278] eta: 0:19:42 lr: 2.8103264536406193e-05 loss: 0.0585 (0.0691) loss_seg: 0.0620 (0.0743) loss_lansim: 0.1014 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5081 data: 0.0025 max mem: 31671 Epoch: [18] [4820/5278] eta: 0:19:17 lr: 2.810099212710684e-05 loss: 0.0585 (0.0690) loss_seg: 0.0623 (0.0742) loss_lansim: 0.1034 (0.1023) loss_contra: 0.0000 (0.0055) time: 2.5059 data: 0.0025 max mem: 31671 Epoch: [18] [4830/5278] eta: 0:18:51 lr: 2.8098719697389498e-05 loss: 0.0585 (0.0690) loss_seg: 0.0623 (0.0742) loss_lansim: 0.1034 (0.1023) loss_contra: 0.0000 (0.0055) time: 2.5135 data: 0.0025 max mem: 31671 Epoch: [18] [4840/5278] eta: 0:18:26 lr: 2.8096447247252163e-05 loss: 0.0585 (0.0691) loss_seg: 0.0623 (0.0743) loss_lansim: 0.1031 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5174 data: 0.0025 max mem: 31671 Epoch: [18] [4850/5278] eta: 0:18:01 lr: 2.8094174776692795e-05 loss: 0.0600 (0.0691) loss_seg: 0.0650 (0.0743) loss_lansim: 0.1037 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5304 data: 0.0024 max mem: 31671 Epoch: [18] [4860/5278] eta: 0:17:36 lr: 2.8091902285709397e-05 loss: 0.0600 (0.0690) loss_seg: 0.0650 (0.0743) loss_lansim: 0.1045 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5325 data: 0.0024 max mem: 31671 Epoch: [18] [4870/5278] eta: 0:17:10 lr: 2.8089629774299935e-05 loss: 0.0581 (0.0691) loss_seg: 0.0623 (0.0743) loss_lansim: 0.1028 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5206 data: 0.0024 max mem: 31671 Epoch: [18] [4880/5278] eta: 0:16:45 lr: 2.80873572424624e-05 loss: 0.0557 (0.0691) loss_seg: 0.0603 (0.0743) loss_lansim: 0.1028 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5134 data: 0.0024 max mem: 31671 Epoch: [18] [4890/5278] eta: 0:16:20 lr: 2.8085084690194764e-05 loss: 0.0551 (0.0690) loss_seg: 0.0597 (0.0742) loss_lansim: 0.1027 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5127 data: 0.0025 max mem: 31671 Epoch: [18] [4900/5278] eta: 0:15:54 lr: 2.8082812117495004e-05 loss: 0.0557 (0.0690) loss_seg: 0.0607 (0.0742) loss_lansim: 0.1024 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [18] [4910/5278] eta: 0:15:29 lr: 2.808053952436111e-05 loss: 0.0571 (0.0690) loss_seg: 0.0609 (0.0742) loss_lansim: 0.1011 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [18] [4920/5278] eta: 0:15:04 lr: 2.8078266910791057e-05 loss: 0.0557 (0.0690) loss_seg: 0.0607 (0.0742) loss_lansim: 0.1009 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [18] [4930/5278] eta: 0:14:39 lr: 2.807599427678281e-05 loss: 0.0551 (0.0690) loss_seg: 0.0603 (0.0742) loss_lansim: 0.1009 (0.1023) loss_contra: 0.0001 (0.0054) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [18] [4940/5278] eta: 0:14:13 lr: 2.8073721622334364e-05 loss: 0.0522 (0.0690) loss_seg: 0.0573 (0.0742) loss_lansim: 0.1025 (0.1023) loss_contra: 0.0001 (0.0054) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [18] [4950/5278] eta: 0:13:48 lr: 2.8071448947443684e-05 loss: 0.0547 (0.0691) loss_seg: 0.0586 (0.0743) loss_lansim: 0.1027 (0.1023) loss_contra: 0.0001 (0.0054) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [18] [4960/5278] eta: 0:13:23 lr: 2.806917625210876e-05 loss: 0.0559 (0.0691) loss_seg: 0.0603 (0.0743) loss_lansim: 0.1011 (0.1023) loss_contra: 0.0001 (0.0054) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [18] [4970/5278] eta: 0:12:58 lr: 2.806690353632756e-05 loss: 0.0547 (0.0690) loss_seg: 0.0573 (0.0743) loss_lansim: 0.1011 (0.1023) loss_contra: 0.0001 (0.0054) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [18] [4980/5278] eta: 0:12:32 lr: 2.8064630800098063e-05 loss: 0.0559 (0.0690) loss_seg: 0.0597 (0.0743) loss_lansim: 0.1024 (0.1023) loss_contra: 0.0000 (0.0054) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [18] [4990/5278] eta: 0:12:07 lr: 2.8062358043418247e-05 loss: 0.0547 (0.0691) loss_seg: 0.0590 (0.0743) loss_lansim: 0.1022 (0.1023) loss_contra: 0.0000 (0.0054) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [18] [5000/5278] eta: 0:11:42 lr: 2.8060085266286086e-05 loss: 0.0550 (0.0690) loss_seg: 0.0597 (0.0743) loss_lansim: 0.1030 (0.1023) loss_contra: 0.0000 (0.0054) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [18] [5010/5278] eta: 0:11:17 lr: 2.8057812468699546e-05 loss: 0.0559 (0.0690) loss_seg: 0.0597 (0.0742) loss_lansim: 0.1025 (0.1023) loss_contra: 0.0000 (0.0055) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [18] [5020/5278] eta: 0:10:51 lr: 2.805553965065662e-05 loss: 0.0550 (0.0690) loss_seg: 0.0597 (0.0742) loss_lansim: 0.1030 (0.1023) loss_contra: 0.0000 (0.0055) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [18] [5030/5278] eta: 0:10:26 lr: 2.8053266812155266e-05 loss: 0.0564 (0.0690) loss_seg: 0.0606 (0.0743) loss_lansim: 0.1048 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [18] [5040/5278] eta: 0:10:01 lr: 2.8050993953193467e-05 loss: 0.0600 (0.0691) loss_seg: 0.0657 (0.0743) loss_lansim: 0.1022 (0.1023) loss_contra: 0.0001 (0.0054) time: 2.5378 data: 0.0026 max mem: 31671 Epoch: [18] [5050/5278] eta: 0:09:36 lr: 2.8048721073769203e-05 loss: 0.0579 (0.0690) loss_seg: 0.0639 (0.0743) loss_lansim: 0.1022 (0.1023) loss_contra: 0.0001 (0.0054) time: 2.5344 data: 0.0026 max mem: 31671 Epoch: [18] [5060/5278] eta: 0:09:10 lr: 2.8046448173880425e-05 loss: 0.0592 (0.0690) loss_seg: 0.0639 (0.0742) loss_lansim: 0.1022 (0.1023) loss_contra: 0.0001 (0.0055) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [18] [5070/5278] eta: 0:08:45 lr: 2.804417525352513e-05 loss: 0.0612 (0.0690) loss_seg: 0.0657 (0.0743) loss_lansim: 0.1022 (0.1023) loss_contra: 0.0002 (0.0054) time: 2.5316 data: 0.0025 max mem: 31671 Epoch: [18] [5080/5278] eta: 0:08:20 lr: 2.804190231270128e-05 loss: 0.0612 (0.0690) loss_seg: 0.0648 (0.0742) loss_lansim: 0.1015 (0.1023) loss_contra: 0.0003 (0.0054) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [18] [5090/5278] eta: 0:07:55 lr: 2.8039629351406842e-05 loss: 0.0618 (0.0690) loss_seg: 0.0657 (0.0743) loss_lansim: 0.1013 (0.1023) loss_contra: 0.0003 (0.0054) time: 2.5271 data: 0.0026 max mem: 31671 Epoch: [18] [5100/5278] eta: 0:07:29 lr: 2.8037356369639805e-05 loss: 0.0621 (0.0691) loss_seg: 0.0666 (0.0743) loss_lansim: 0.1013 (0.1024) loss_contra: 0.0004 (0.0054) time: 2.5205 data: 0.0026 max mem: 31671 Epoch: [18] [5110/5278] eta: 0:07:04 lr: 2.8035083367398124e-05 loss: 0.0642 (0.0691) loss_seg: 0.0675 (0.0743) loss_lansim: 0.1015 (0.1024) loss_contra: 0.0003 (0.0055) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [18] [5120/5278] eta: 0:06:39 lr: 2.803281034467977e-05 loss: 0.0651 (0.0691) loss_seg: 0.0677 (0.0743) loss_lansim: 0.1015 (0.1024) loss_contra: 0.0004 (0.0054) time: 2.5189 data: 0.0025 max mem: 31671 Epoch: [18] [5130/5278] eta: 0:06:13 lr: 2.803053730148273e-05 loss: 0.0614 (0.0690) loss_seg: 0.0648 (0.0742) loss_lansim: 0.0993 (0.1024) loss_contra: 0.0004 (0.0054) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [18] [5140/5278] eta: 0:05:48 lr: 2.8028264237804953e-05 loss: 0.0587 (0.0690) loss_seg: 0.0633 (0.0742) loss_lansim: 0.0987 (0.1024) loss_contra: 0.0005 (0.0055) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [18] [5150/5278] eta: 0:05:23 lr: 2.8025991153644425e-05 loss: 0.0592 (0.0690) loss_seg: 0.0633 (0.0742) loss_lansim: 0.0982 (0.1023) loss_contra: 0.0006 (0.0055) time: 2.5356 data: 0.0026 max mem: 31671 Epoch: [18] [5160/5278] eta: 0:04:58 lr: 2.8023718048999108e-05 loss: 0.0587 (0.0690) loss_seg: 0.0633 (0.0742) loss_lansim: 0.0987 (0.1024) loss_contra: 0.0005 (0.0055) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [18] [5170/5278] eta: 0:04:32 lr: 2.802144492386697e-05 loss: 0.0587 (0.0690) loss_seg: 0.0640 (0.0743) loss_lansim: 0.0987 (0.1023) loss_contra: 0.0002 (0.0055) time: 2.5435 data: 0.0026 max mem: 31671 Epoch: [18] [5180/5278] eta: 0:04:07 lr: 2.801917177824599e-05 loss: 0.0592 (0.0690) loss_seg: 0.0647 (0.0742) loss_lansim: 0.0988 (0.1023) loss_contra: 0.0002 (0.0055) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [18] [5190/5278] eta: 0:03:42 lr: 2.8016898612134123e-05 loss: 0.0604 (0.0690) loss_seg: 0.0633 (0.0743) loss_lansim: 0.0989 (0.1024) loss_contra: 0.0003 (0.0055) time: 2.5345 data: 0.0025 max mem: 31671 Epoch: [18] [5200/5278] eta: 0:03:17 lr: 2.8014625425529345e-05 loss: 0.0578 (0.0690) loss_seg: 0.0618 (0.0742) loss_lansim: 0.0992 (0.1024) loss_contra: 0.0002 (0.0055) time: 2.5513 data: 0.0025 max mem: 31671 Epoch: [18] [5210/5278] eta: 0:02:51 lr: 2.8012352218429626e-05 loss: 0.0573 (0.0691) loss_seg: 0.0611 (0.0743) loss_lansim: 0.1002 (0.1024) loss_contra: 0.0002 (0.0055) time: 2.5509 data: 0.0025 max mem: 31671 Epoch: [18] [5220/5278] eta: 0:02:26 lr: 2.8010078990832922e-05 loss: 0.0578 (0.0691) loss_seg: 0.0623 (0.0743) loss_lansim: 0.1017 (0.1024) loss_contra: 0.0003 (0.0055) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [18] [5230/5278] eta: 0:02:01 lr: 2.8007805742737215e-05 loss: 0.0604 (0.0691) loss_seg: 0.0629 (0.0743) loss_lansim: 0.1024 (0.1024) loss_contra: 0.0002 (0.0056) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [18] [5240/5278] eta: 0:01:36 lr: 2.8005532474140457e-05 loss: 0.0604 (0.0691) loss_seg: 0.0629 (0.0744) loss_lansim: 0.1024 (0.1024) loss_contra: 0.0002 (0.0055) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [18] [5250/5278] eta: 0:01:10 lr: 2.8003259185040613e-05 loss: 0.0630 (0.0692) loss_seg: 0.0656 (0.0744) loss_lansim: 0.1031 (0.1024) loss_contra: 0.0001 (0.0055) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [18] [5260/5278] eta: 0:00:45 lr: 2.800098587543567e-05 loss: 0.0615 (0.0692) loss_seg: 0.0632 (0.0744) loss_lansim: 0.1031 (0.1024) loss_contra: 0.0001 (0.0055) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [18] [5270/5278] eta: 0:00:20 lr: 2.799871254532357e-05 loss: 0.0610 (0.0691) loss_seg: 0.0624 (0.0743) loss_lansim: 0.1033 (0.1024) loss_contra: 0.0002 (0.0055) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [18] Total time: 3:42:19 Test: [ 0/2573] eta: 1:30:14 time: 2.1043 data: 1.6592 max mem: 31671 Test: [ 100/2573] eta: 0:06:42 time: 0.1433 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:07 time: 0.1466 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:41 time: 0.1410 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:23 time: 0.1449 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:07 time: 0.1455 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:51 time: 0.1466 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1508 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1470 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:08 time: 0.1492 data: 0.0014 max mem: 31671 Test: [1000/2573] eta: 0:03:53 time: 0.1475 data: 0.0014 max mem: 31671 Test: [1100/2573] eta: 0:03:38 time: 0.1467 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:23 time: 0.1474 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:08 time: 0.1460 data: 0.0014 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1423 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1473 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1457 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1472 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1433 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1419 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1420 data: 0.0014 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1473 data: 0.0014 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1406 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1459 data: 0.0014 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1428 data: 0.0014 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1452 data: 0.0014 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 66.34 precision@0.6 = 61.19 precision@0.7 = 53.76 precision@0.8 = 42.71 precision@0.9 = 20.28 overall IoU = 57.05 mean IoU = 59.11 Average object IoU 0.5910852072134885 Overall IoU 57.04673679660401 Epoch: [19] [ 0/5278] eta: 9:38:53 lr: 2.7996893866467377e-05 loss: 0.0768 (0.0768) loss_seg: 0.0851 (0.0851) loss_lansim: 0.0939 (0.0939) loss_contra: 0.0001 (0.0001) time: 6.5809 data: 1.2326 max mem: 31671 Epoch: [19] [ 10/5278] eta: 4:19:31 lr: 2.799462049943729e-05 loss: 0.0455 (0.0586) loss_seg: 0.0499 (0.0642) loss_lansim: 0.0942 (0.1012) loss_contra: 0.0002 (0.0018) time: 2.9559 data: 0.1146 max mem: 31671 Epoch: [19] [ 20/5278] eta: 3:59:39 lr: 2.799234711189435e-05 loss: 0.0684 (0.0679) loss_seg: 0.0736 (0.0729) loss_lansim: 0.0950 (0.1004) loss_contra: 0.0002 (0.0079) time: 2.7348 data: 0.0607 max mem: 31671 Epoch: [19] [ 30/5278] eta: 3:55:00 lr: 2.7990073703836526e-05 loss: 0.0671 (0.0654) loss_seg: 0.0736 (0.0704) loss_lansim: 0.0991 (0.1011) loss_contra: 0.0001 (0.0054) time: 2.6868 data: 0.0419 max mem: 31671 Epoch: [19] [ 40/5278] eta: 3:51:11 lr: 2.7987800275261794e-05 loss: 0.0585 (0.0660) loss_seg: 0.0646 (0.0712) loss_lansim: 0.0999 (0.1016) loss_contra: 0.0002 (0.0055) time: 2.6483 data: 0.0323 max mem: 31671 Epoch: [19] [ 50/5278] eta: 3:49:18 lr: 2.798552682616809e-05 loss: 0.0558 (0.0648) loss_seg: 0.0580 (0.0700) loss_lansim: 0.1027 (0.1017) loss_contra: 0.0002 (0.0044) time: 2.6317 data: 0.0265 max mem: 31671 Epoch: [19] [ 60/5278] eta: 3:48:01 lr: 2.79832533565534e-05 loss: 0.0558 (0.0625) loss_seg: 0.0556 (0.0674) loss_lansim: 0.1027 (0.1022) loss_contra: 0.0002 (0.0047) time: 2.6221 data: 0.0225 max mem: 31671 Epoch: [19] [ 70/5278] eta: 3:46:26 lr: 2.798097986641568e-05 loss: 0.0558 (0.0618) loss_seg: 0.0556 (0.0666) loss_lansim: 0.1028 (0.1028) loss_contra: 0.0002 (0.0042) time: 2.6087 data: 0.0197 max mem: 31671 Epoch: [19] [ 80/5278] eta: 3:45:36 lr: 2.7978706355752882e-05 loss: 0.0531 (0.0605) loss_seg: 0.0553 (0.0653) loss_lansim: 0.1028 (0.1031) loss_contra: 0.0002 (0.0037) time: 2.6043 data: 0.0176 max mem: 31671 Epoch: [19] [ 90/5278] eta: 3:44:33 lr: 2.7976432824562986e-05 loss: 0.0558 (0.0647) loss_seg: 0.0568 (0.0702) loss_lansim: 0.1042 (0.1037) loss_contra: 0.0001 (0.0033) time: 2.5971 data: 0.0159 max mem: 31671 Epoch: [19] [ 100/5278] eta: 3:43:59 lr: 2.7974159272843937e-05 loss: 0.0553 (0.0648) loss_seg: 0.0563 (0.0700) loss_lansim: 0.1042 (0.1043) loss_contra: 0.0001 (0.0031) time: 2.5556 data: 0.0024 max mem: 31671 Epoch: [19] [ 110/5278] eta: 3:42:30 lr: 2.79718857005937e-05 loss: 0.0547 (0.0637) loss_seg: 0.0566 (0.0688) loss_lansim: 0.1028 (0.1044) loss_contra: 0.0001 (0.0028) time: 2.5422 data: 0.0024 max mem: 31671 Epoch: [19] [ 120/5278] eta: 3:41:51 lr: 2.7969612107810245e-05 loss: 0.0528 (0.0630) loss_seg: 0.0553 (0.0680) loss_lansim: 0.1048 (0.1054) loss_contra: 0.0001 (0.0038) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [19] [ 130/5278] eta: 3:40:45 lr: 2.7967338494491512e-05 loss: 0.0503 (0.0617) loss_seg: 0.0548 (0.0665) loss_lansim: 0.1050 (0.1058) loss_contra: 0.0001 (0.0036) time: 2.5376 data: 0.0025 max mem: 31671 Epoch: [19] [ 140/5278] eta: 3:40:06 lr: 2.7965064860635482e-05 loss: 0.0515 (0.0628) loss_seg: 0.0548 (0.0678) loss_lansim: 0.1063 (0.1067) loss_contra: 0.0001 (0.0034) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [19] [ 150/5278] eta: 3:39:45 lr: 2.7962791206240103e-05 loss: 0.0516 (0.0626) loss_seg: 0.0555 (0.0674) loss_lansim: 0.1076 (0.1070) loss_contra: 0.0001 (0.0032) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [19] [ 160/5278] eta: 3:39:18 lr: 2.796051753130333e-05 loss: 0.0509 (0.0614) loss_seg: 0.0550 (0.0662) loss_lansim: 0.1062 (0.1067) loss_contra: 0.0001 (0.0032) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [19] [ 170/5278] eta: 3:38:42 lr: 2.7958243835823134e-05 loss: 0.0510 (0.0610) loss_seg: 0.0555 (0.0657) loss_lansim: 0.1056 (0.1068) loss_contra: 0.0001 (0.0032) time: 2.5407 data: 0.0026 max mem: 31671 Epoch: [19] [ 180/5278] eta: 3:38:22 lr: 2.7955970119797465e-05 loss: 0.0515 (0.0607) loss_seg: 0.0556 (0.0654) loss_lansim: 0.1056 (0.1065) loss_contra: 0.0001 (0.0030) time: 2.5424 data: 0.0026 max mem: 31671 Epoch: [19] [ 190/5278] eta: 3:37:50 lr: 2.7953696383224277e-05 loss: 0.0510 (0.0610) loss_seg: 0.0555 (0.0658) loss_lansim: 0.1050 (0.1065) loss_contra: 0.0001 (0.0046) time: 2.5433 data: 0.0026 max mem: 31671 Epoch: [19] [ 200/5278] eta: 3:37:21 lr: 2.7951422626101535e-05 loss: 0.0517 (0.0655) loss_seg: 0.0560 (0.0708) loss_lansim: 0.1056 (0.1064) loss_contra: 0.0001 (0.0044) time: 2.5409 data: 0.0026 max mem: 31671 Epoch: [19] [ 210/5278] eta: 3:36:49 lr: 2.794914884842719e-05 loss: 0.0526 (0.0658) loss_seg: 0.0567 (0.0711) loss_lansim: 0.1076 (0.1065) loss_contra: 0.0001 (0.0046) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [19] [ 220/5278] eta: 3:36:10 lr: 2.7946875050199208e-05 loss: 0.0576 (0.0664) loss_seg: 0.0611 (0.0716) loss_lansim: 0.1050 (0.1069) loss_contra: 0.0001 (0.0048) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [19] [ 230/5278] eta: 3:35:30 lr: 2.794460123141553e-05 loss: 0.0592 (0.0663) loss_seg: 0.0633 (0.0715) loss_lansim: 0.1048 (0.1069) loss_contra: 0.0001 (0.0047) time: 2.5465 data: 0.0024 max mem: 31671 Epoch: [19] [ 240/5278] eta: 3:34:54 lr: 2.7942327392074118e-05 loss: 0.0587 (0.0668) loss_seg: 0.0632 (0.0720) loss_lansim: 0.1041 (0.1071) loss_contra: 0.0001 (0.0047) time: 2.5441 data: 0.0024 max mem: 31671 Epoch: [19] [ 250/5278] eta: 3:34:19 lr: 2.7940053532172944e-05 loss: 0.0554 (0.0667) loss_seg: 0.0606 (0.0719) loss_lansim: 0.1041 (0.1070) loss_contra: 0.0001 (0.0045) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [19] [ 260/5278] eta: 3:33:45 lr: 2.7937779651709933e-05 loss: 0.0606 (0.0665) loss_seg: 0.0647 (0.0716) loss_lansim: 0.1046 (0.1068) loss_contra: 0.0001 (0.0044) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [19] [ 270/5278] eta: 3:33:04 lr: 2.7935505750683062e-05 loss: 0.0641 (0.0664) loss_seg: 0.0651 (0.0715) loss_lansim: 0.1058 (0.1069) loss_contra: 0.0001 (0.0044) time: 2.5250 data: 0.0024 max mem: 31671 Epoch: [19] [ 280/5278] eta: 3:32:26 lr: 2.7933231829090272e-05 loss: 0.0645 (0.0664) loss_seg: 0.0670 (0.0715) loss_lansim: 0.1048 (0.1066) loss_contra: 0.0001 (0.0043) time: 2.5146 data: 0.0024 max mem: 31671 Epoch: [19] [ 290/5278] eta: 3:32:08 lr: 2.7930957886929527e-05 loss: 0.0592 (0.0663) loss_seg: 0.0633 (0.0715) loss_lansim: 0.1058 (0.1067) loss_contra: 0.0001 (0.0043) time: 2.5194 data: 0.0024 max mem: 31671 Epoch: [19] [ 300/5278] eta: 3:31:40 lr: 2.7928683924198783e-05 loss: 0.0554 (0.0665) loss_seg: 0.0606 (0.0717) loss_lansim: 0.1048 (0.1067) loss_contra: 0.0001 (0.0041) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [19] [ 310/5278] eta: 3:31:11 lr: 2.7926409940895977e-05 loss: 0.0538 (0.0663) loss_seg: 0.0578 (0.0715) loss_lansim: 0.1038 (0.1064) loss_contra: 0.0001 (0.0042) time: 2.5161 data: 0.0025 max mem: 31671 Epoch: [19] [ 320/5278] eta: 3:30:35 lr: 2.792413593701907e-05 loss: 0.0523 (0.0659) loss_seg: 0.0570 (0.0710) loss_lansim: 0.1032 (0.1063) loss_contra: 0.0001 (0.0041) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [19] [ 330/5278] eta: 3:30:05 lr: 2.792186191256602e-05 loss: 0.0540 (0.0658) loss_seg: 0.0570 (0.0709) loss_lansim: 0.1035 (0.1063) loss_contra: 0.0001 (0.0040) time: 2.5153 data: 0.0025 max mem: 31671 Epoch: [19] [ 340/5278] eta: 3:29:35 lr: 2.791958786753477e-05 loss: 0.0523 (0.0655) loss_seg: 0.0547 (0.0705) loss_lansim: 0.1022 (0.1062) loss_contra: 0.0001 (0.0041) time: 2.5159 data: 0.0026 max mem: 31671 Epoch: [19] [ 350/5278] eta: 3:28:56 lr: 2.791731380192328e-05 loss: 0.0540 (0.0657) loss_seg: 0.0561 (0.0706) loss_lansim: 0.1022 (0.1063) loss_contra: 0.0001 (0.0040) time: 2.5095 data: 0.0025 max mem: 31671 Epoch: [19] [ 360/5278] eta: 3:28:22 lr: 2.791503971572949e-05 loss: 0.0519 (0.0661) loss_seg: 0.0542 (0.0711) loss_lansim: 0.1019 (0.1060) loss_contra: 0.0001 (0.0039) time: 2.5065 data: 0.0025 max mem: 31671 Epoch: [19] [ 370/5278] eta: 3:27:54 lr: 2.7912765608951358e-05 loss: 0.0519 (0.0657) loss_seg: 0.0542 (0.0706) loss_lansim: 0.1011 (0.1059) loss_contra: 0.0001 (0.0039) time: 2.5115 data: 0.0025 max mem: 31671 Epoch: [19] [ 380/5278] eta: 3:27:27 lr: 2.7910491481586835e-05 loss: 0.0502 (0.0654) loss_seg: 0.0529 (0.0703) loss_lansim: 0.1019 (0.1058) loss_contra: 0.0001 (0.0043) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [19] [ 390/5278] eta: 3:27:04 lr: 2.790821733363387e-05 loss: 0.0540 (0.0654) loss_seg: 0.0561 (0.0703) loss_lansim: 0.1019 (0.1059) loss_contra: 0.0001 (0.0042) time: 2.5128 data: 0.0025 max mem: 31671 Epoch: [19] [ 400/5278] eta: 3:26:44 lr: 2.790594316509041e-05 loss: 0.0502 (0.0651) loss_seg: 0.0542 (0.0700) loss_lansim: 0.1011 (0.1057) loss_contra: 0.0001 (0.0042) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [19] [ 410/5278] eta: 3:26:14 lr: 2.7903668975954405e-05 loss: 0.0514 (0.0653) loss_seg: 0.0553 (0.0702) loss_lansim: 0.1000 (0.1055) loss_contra: 0.0001 (0.0042) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [19] [ 420/5278] eta: 3:25:43 lr: 2.79013947662238e-05 loss: 0.0514 (0.0652) loss_seg: 0.0553 (0.0700) loss_lansim: 0.1000 (0.1053) loss_contra: 0.0001 (0.0041) time: 2.5159 data: 0.0024 max mem: 31671 Epoch: [19] [ 430/5278] eta: 3:25:15 lr: 2.7899120535896556e-05 loss: 0.0499 (0.0648) loss_seg: 0.0526 (0.0696) loss_lansim: 0.0988 (0.1052) loss_contra: 0.0001 (0.0040) time: 2.5160 data: 0.0024 max mem: 31671 Epoch: [19] [ 440/5278] eta: 3:24:52 lr: 2.7896846284970607e-05 loss: 0.0499 (0.0644) loss_seg: 0.0526 (0.0692) loss_lansim: 0.0983 (0.1051) loss_contra: 0.0001 (0.0040) time: 2.5210 data: 0.0024 max mem: 31671 Epoch: [19] [ 450/5278] eta: 3:24:22 lr: 2.7894572013443903e-05 loss: 0.0499 (0.0646) loss_seg: 0.0526 (0.0694) loss_lansim: 0.0976 (0.1050) loss_contra: 0.0001 (0.0039) time: 2.5264 data: 0.0024 max mem: 31671 Epoch: [19] [ 460/5278] eta: 3:23:48 lr: 2.7892297721314402e-05 loss: 0.0499 (0.0645) loss_seg: 0.0533 (0.0693) loss_lansim: 0.0982 (0.1049) loss_contra: 0.0001 (0.0038) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [19] [ 470/5278] eta: 3:23:23 lr: 2.789002340858004e-05 loss: 0.0494 (0.0642) loss_seg: 0.0526 (0.0690) loss_lansim: 0.0983 (0.1047) loss_contra: 0.0001 (0.0038) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [19] [ 480/5278] eta: 3:22:48 lr: 2.788774907523876e-05 loss: 0.0494 (0.0643) loss_seg: 0.0526 (0.0692) loss_lansim: 0.0968 (0.1044) loss_contra: 0.0001 (0.0037) time: 2.5164 data: 0.0025 max mem: 31671 Epoch: [19] [ 490/5278] eta: 3:22:22 lr: 2.7885474721288522e-05 loss: 0.0506 (0.0644) loss_seg: 0.0534 (0.0693) loss_lansim: 0.0963 (0.1042) loss_contra: 0.0000 (0.0037) time: 2.5135 data: 0.0025 max mem: 31671 Epoch: [19] [ 500/5278] eta: 3:22:03 lr: 2.7883200346727256e-05 loss: 0.0514 (0.0646) loss_seg: 0.0547 (0.0694) loss_lansim: 0.0963 (0.1041) loss_contra: 0.0001 (0.0036) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [19] [ 510/5278] eta: 3:21:34 lr: 2.7880925951552928e-05 loss: 0.0506 (0.0642) loss_seg: 0.0537 (0.0690) loss_lansim: 0.0971 (0.1042) loss_contra: 0.0001 (0.0037) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [19] [ 520/5278] eta: 3:21:06 lr: 2.7878651535763458e-05 loss: 0.0489 (0.0638) loss_seg: 0.0526 (0.0686) loss_lansim: 0.0953 (0.1039) loss_contra: 0.0000 (0.0036) time: 2.5157 data: 0.0025 max mem: 31671 Epoch: [19] [ 530/5278] eta: 3:20:37 lr: 2.7876377099356806e-05 loss: 0.0497 (0.0639) loss_seg: 0.0534 (0.0687) loss_lansim: 0.0958 (0.1040) loss_contra: 0.0001 (0.0036) time: 2.5134 data: 0.0025 max mem: 31671 Epoch: [19] [ 540/5278] eta: 3:20:05 lr: 2.7874102642330912e-05 loss: 0.0513 (0.0638) loss_seg: 0.0564 (0.0685) loss_lansim: 0.0945 (0.1039) loss_contra: 0.0000 (0.0036) time: 2.5031 data: 0.0025 max mem: 31671 Epoch: [19] [ 550/5278] eta: 3:19:34 lr: 2.787182816468371e-05 loss: 0.0512 (0.0636) loss_seg: 0.0547 (0.0683) loss_lansim: 0.0953 (0.1039) loss_contra: 0.0001 (0.0036) time: 2.4996 data: 0.0025 max mem: 31671 Epoch: [19] [ 560/5278] eta: 3:19:12 lr: 2.7869553666413166e-05 loss: 0.0523 (0.0635) loss_seg: 0.0565 (0.0683) loss_lansim: 0.0952 (0.1038) loss_contra: 0.0001 (0.0035) time: 2.5123 data: 0.0025 max mem: 31671 Epoch: [19] [ 570/5278] eta: 3:18:49 lr: 2.7867279147517204e-05 loss: 0.0512 (0.0632) loss_seg: 0.0548 (0.0680) loss_lansim: 0.0952 (0.1037) loss_contra: 0.0001 (0.0034) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [19] [ 580/5278] eta: 3:18:22 lr: 2.7865004607993777e-05 loss: 0.0512 (0.0630) loss_seg: 0.0548 (0.0678) loss_lansim: 0.0967 (0.1035) loss_contra: 0.0001 (0.0034) time: 2.5213 data: 0.0025 max mem: 31671 Epoch: [19] [ 590/5278] eta: 3:17:57 lr: 2.7862730047840823e-05 loss: 0.0497 (0.0630) loss_seg: 0.0536 (0.0677) loss_lansim: 0.0979 (0.1036) loss_contra: 0.0001 (0.0033) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [19] [ 600/5278] eta: 3:17:35 lr: 2.7860455467056273e-05 loss: 0.0463 (0.0635) loss_seg: 0.0507 (0.0683) loss_lansim: 0.0995 (0.1036) loss_contra: 0.0001 (0.0033) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [19] [ 610/5278] eta: 3:17:13 lr: 2.7858180865638083e-05 loss: 0.0487 (0.0634) loss_seg: 0.0531 (0.0681) loss_lansim: 0.0969 (0.1033) loss_contra: 0.0001 (0.0033) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [19] [ 620/5278] eta: 3:16:54 lr: 2.7855906243584197e-05 loss: 0.0518 (0.0633) loss_seg: 0.0548 (0.0681) loss_lansim: 0.0984 (0.1033) loss_contra: 0.0001 (0.0033) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [19] [ 630/5278] eta: 3:16:28 lr: 2.7853631600892534e-05 loss: 0.0500 (0.0634) loss_seg: 0.0548 (0.0682) loss_lansim: 0.0978 (0.1032) loss_contra: 0.0001 (0.0033) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [19] [ 640/5278] eta: 3:16:09 lr: 2.7851356937561056e-05 loss: 0.0496 (0.0632) loss_seg: 0.0542 (0.0680) loss_lansim: 0.0976 (0.1031) loss_contra: 0.0001 (0.0032) time: 2.5582 data: 0.0025 max mem: 31671 Epoch: [19] [ 650/5278] eta: 3:15:48 lr: 2.7849082253587693e-05 loss: 0.0496 (0.0632) loss_seg: 0.0542 (0.0679) loss_lansim: 0.0969 (0.1030) loss_contra: 0.0001 (0.0032) time: 2.5718 data: 0.0025 max mem: 31671 Epoch: [19] [ 660/5278] eta: 3:15:19 lr: 2.7846807548970383e-05 loss: 0.0497 (0.0638) loss_seg: 0.0542 (0.0686) loss_lansim: 0.0966 (0.1029) loss_contra: 0.0001 (0.0032) time: 2.5620 data: 0.0025 max mem: 31671 Epoch: [19] [ 670/5278] eta: 3:14:49 lr: 2.7844532823707074e-05 loss: 0.0509 (0.0637) loss_seg: 0.0547 (0.0684) loss_lansim: 0.0964 (0.1029) loss_contra: 0.0000 (0.0031) time: 2.5528 data: 0.0025 max mem: 31671 Epoch: [19] [ 680/5278] eta: 3:14:28 lr: 2.7842258077795698e-05 loss: 0.0515 (0.0636) loss_seg: 0.0552 (0.0684) loss_lansim: 0.0964 (0.1027) loss_contra: 0.0001 (0.0031) time: 2.5621 data: 0.0025 max mem: 31671 Epoch: [19] [ 690/5278] eta: 3:14:04 lr: 2.7839983311234187e-05 loss: 0.0521 (0.0636) loss_seg: 0.0568 (0.0684) loss_lansim: 0.0946 (0.1025) loss_contra: 0.0001 (0.0031) time: 2.5636 data: 0.0025 max mem: 31671 Epoch: [19] [ 700/5278] eta: 3:13:43 lr: 2.783770852402049e-05 loss: 0.0529 (0.0636) loss_seg: 0.0575 (0.0684) loss_lansim: 0.0944 (0.1025) loss_contra: 0.0001 (0.0030) time: 2.5665 data: 0.0025 max mem: 31671 Epoch: [19] [ 710/5278] eta: 3:13:11 lr: 2.7835433716152525e-05 loss: 0.0529 (0.0636) loss_seg: 0.0572 (0.0683) loss_lansim: 0.0946 (0.1023) loss_contra: 0.0000 (0.0030) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [19] [ 720/5278] eta: 3:12:47 lr: 2.7833158887628263e-05 loss: 0.0526 (0.0635) loss_seg: 0.0565 (0.0683) loss_lansim: 0.0929 (0.1022) loss_contra: 0.0000 (0.0030) time: 2.5461 data: 0.0025 max mem: 31671 Epoch: [19] [ 730/5278] eta: 3:12:21 lr: 2.783088403844561e-05 loss: 0.0529 (0.0637) loss_seg: 0.0565 (0.0684) loss_lansim: 0.0936 (0.1021) loss_contra: 0.0001 (0.0031) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [19] [ 740/5278] eta: 3:11:54 lr: 2.7828609168602516e-05 loss: 0.0553 (0.0639) loss_seg: 0.0575 (0.0687) loss_lansim: 0.0936 (0.1020) loss_contra: 0.0001 (0.0031) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [19] [ 750/5278] eta: 3:11:29 lr: 2.7826334278096917e-05 loss: 0.0553 (0.0639) loss_seg: 0.0581 (0.0687) loss_lansim: 0.0941 (0.1020) loss_contra: 0.0001 (0.0031) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [19] [ 760/5278] eta: 3:11:10 lr: 2.7824059366926736e-05 loss: 0.0541 (0.0640) loss_seg: 0.0581 (0.0689) loss_lansim: 0.0941 (0.1020) loss_contra: 0.0001 (0.0030) time: 2.5457 data: 0.0024 max mem: 31671 Epoch: [19] [ 770/5278] eta: 3:10:45 lr: 2.782178443508992e-05 loss: 0.0553 (0.0641) loss_seg: 0.0581 (0.0690) loss_lansim: 0.0938 (0.1019) loss_contra: 0.0001 (0.0030) time: 2.5531 data: 0.0024 max mem: 31671 Epoch: [19] [ 780/5278] eta: 3:10:20 lr: 2.7819509482584406e-05 loss: 0.0541 (0.0642) loss_seg: 0.0575 (0.0691) loss_lansim: 0.0934 (0.1018) loss_contra: 0.0001 (0.0030) time: 2.5478 data: 0.0024 max mem: 31671 Epoch: [19] [ 790/5278] eta: 3:09:56 lr: 2.7817234509408113e-05 loss: 0.0541 (0.0643) loss_seg: 0.0581 (0.0691) loss_lansim: 0.0938 (0.1017) loss_contra: 0.0001 (0.0031) time: 2.5486 data: 0.0024 max mem: 31671 Epoch: [19] [ 800/5278] eta: 3:09:29 lr: 2.7814959515558995e-05 loss: 0.0532 (0.0643) loss_seg: 0.0581 (0.0691) loss_lansim: 0.0941 (0.1016) loss_contra: 0.0001 (0.0031) time: 2.5386 data: 0.0024 max mem: 31671 Epoch: [19] [ 810/5278] eta: 3:09:07 lr: 2.781268450103497e-05 loss: 0.0532 (0.0641) loss_seg: 0.0580 (0.0689) loss_lansim: 0.0941 (0.1015) loss_contra: 0.0001 (0.0031) time: 2.5558 data: 0.0024 max mem: 31671 Epoch: [19] [ 820/5278] eta: 3:08:39 lr: 2.7810409465833974e-05 loss: 0.0532 (0.0641) loss_seg: 0.0580 (0.0689) loss_lansim: 0.0960 (0.1015) loss_contra: 0.0001 (0.0032) time: 2.5490 data: 0.0024 max mem: 31671 Epoch: [19] [ 830/5278] eta: 3:08:10 lr: 2.780813440995395e-05 loss: 0.0532 (0.0642) loss_seg: 0.0580 (0.0690) loss_lansim: 0.0953 (0.1015) loss_contra: 0.0001 (0.0031) time: 2.5417 data: 0.0024 max mem: 31671 Epoch: [19] [ 840/5278] eta: 3:07:46 lr: 2.7805859333392814e-05 loss: 0.0530 (0.0640) loss_seg: 0.0580 (0.0689) loss_lansim: 0.0941 (0.1013) loss_contra: 0.0001 (0.0031) time: 2.5479 data: 0.0024 max mem: 31671 Epoch: [19] [ 850/5278] eta: 3:07:21 lr: 2.7803584236148512e-05 loss: 0.0527 (0.0639) loss_seg: 0.0580 (0.0688) loss_lansim: 0.0938 (0.1012) loss_contra: 0.0001 (0.0031) time: 2.5487 data: 0.0024 max mem: 31671 Epoch: [19] [ 860/5278] eta: 3:06:56 lr: 2.780130911821896e-05 loss: 0.0527 (0.0639) loss_seg: 0.0580 (0.0688) loss_lansim: 0.0936 (0.1012) loss_contra: 0.0001 (0.0030) time: 2.5388 data: 0.0024 max mem: 31671 Epoch: [19] [ 870/5278] eta: 3:06:30 lr: 2.77990339796021e-05 loss: 0.0532 (0.0643) loss_seg: 0.0583 (0.0692) loss_lansim: 0.0939 (0.1012) loss_contra: 0.0001 (0.0030) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [19] [ 880/5278] eta: 3:06:04 lr: 2.779675882029587e-05 loss: 0.0532 (0.0644) loss_seg: 0.0580 (0.0694) loss_lansim: 0.0939 (0.1011) loss_contra: 0.0001 (0.0030) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [19] [ 890/5278] eta: 3:05:37 lr: 2.7794483640298185e-05 loss: 0.0532 (0.0644) loss_seg: 0.0580 (0.0693) loss_lansim: 0.0941 (0.1010) loss_contra: 0.0001 (0.0034) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [19] [ 900/5278] eta: 3:05:08 lr: 2.7792208439606982e-05 loss: 0.0542 (0.0647) loss_seg: 0.0593 (0.0696) loss_lansim: 0.0947 (0.1011) loss_contra: 0.0001 (0.0035) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [19] [ 910/5278] eta: 3:04:44 lr: 2.7789933218220194e-05 loss: 0.0549 (0.0646) loss_seg: 0.0593 (0.0696) loss_lansim: 0.0960 (0.1011) loss_contra: 0.0001 (0.0040) time: 2.5203 data: 0.0025 max mem: 31671 Epoch: [19] [ 920/5278] eta: 3:04:19 lr: 2.7787657976135728e-05 loss: 0.0554 (0.0646) loss_seg: 0.0603 (0.0695) loss_lansim: 0.0966 (0.1011) loss_contra: 0.0001 (0.0040) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [19] [ 930/5278] eta: 3:03:52 lr: 2.778538271335155e-05 loss: 0.0554 (0.0645) loss_seg: 0.0603 (0.0694) loss_lansim: 0.0966 (0.1011) loss_contra: 0.0001 (0.0039) time: 2.5290 data: 0.0026 max mem: 31671 Epoch: [19] [ 940/5278] eta: 3:03:27 lr: 2.7783107429865556e-05 loss: 0.0581 (0.0647) loss_seg: 0.0611 (0.0697) loss_lansim: 0.0992 (0.1012) loss_contra: 0.0001 (0.0041) time: 2.5284 data: 0.0026 max mem: 31671 Epoch: [19] [ 950/5278] eta: 3:03:00 lr: 2.7780832125675692e-05 loss: 0.0560 (0.0646) loss_seg: 0.0603 (0.0695) loss_lansim: 0.1009 (0.1012) loss_contra: 0.0001 (0.0041) time: 2.5235 data: 0.0026 max mem: 31671 Epoch: [19] [ 960/5278] eta: 3:02:35 lr: 2.777855680077988e-05 loss: 0.0546 (0.0644) loss_seg: 0.0586 (0.0693) loss_lansim: 0.1018 (0.1012) loss_contra: 0.0001 (0.0040) time: 2.5245 data: 0.0026 max mem: 31671 Epoch: [19] [ 970/5278] eta: 3:02:13 lr: 2.7776281455176046e-05 loss: 0.0528 (0.0643) loss_seg: 0.0572 (0.0692) loss_lansim: 0.1011 (0.1012) loss_contra: 0.0001 (0.0040) time: 2.5299 data: 0.0026 max mem: 31671 Epoch: [19] [ 980/5278] eta: 3:01:45 lr: 2.7774006088862113e-05 loss: 0.0546 (0.0644) loss_seg: 0.0586 (0.0693) loss_lansim: 0.1013 (0.1013) loss_contra: 0.0001 (0.0040) time: 2.5263 data: 0.0026 max mem: 31671 Epoch: [19] [ 990/5278] eta: 3:01:21 lr: 2.777173070183602e-05 loss: 0.0532 (0.0642) loss_seg: 0.0575 (0.0691) loss_lansim: 0.1023 (0.1013) loss_contra: 0.0002 (0.0040) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [19] [1000/5278] eta: 3:00:57 lr: 2.776945529409567e-05 loss: 0.0528 (0.0643) loss_seg: 0.0575 (0.0692) loss_lansim: 0.1027 (0.1013) loss_contra: 0.0002 (0.0040) time: 2.5440 data: 0.0026 max mem: 31671 Epoch: [19] [1010/5278] eta: 3:00:33 lr: 2.7767179865639022e-05 loss: 0.0528 (0.0643) loss_seg: 0.0575 (0.0692) loss_lansim: 0.1012 (0.1013) loss_contra: 0.0001 (0.0040) time: 2.5446 data: 0.0026 max mem: 31671 Epoch: [19] [1020/5278] eta: 3:00:08 lr: 2.7764904416463966e-05 loss: 0.0525 (0.0642) loss_seg: 0.0569 (0.0691) loss_lansim: 0.1000 (0.1013) loss_contra: 0.0002 (0.0039) time: 2.5448 data: 0.0026 max mem: 31671 Epoch: [19] [1030/5278] eta: 2:59:41 lr: 2.7762628946568447e-05 loss: 0.0528 (0.0643) loss_seg: 0.0572 (0.0692) loss_lansim: 0.1004 (0.1013) loss_contra: 0.0002 (0.0039) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [19] [1040/5278] eta: 2:59:18 lr: 2.7760353455950393e-05 loss: 0.0519 (0.0645) loss_seg: 0.0536 (0.0694) loss_lansim: 0.1010 (0.1013) loss_contra: 0.0002 (0.0039) time: 2.5502 data: 0.0025 max mem: 31671 Epoch: [19] [1050/5278] eta: 2:58:54 lr: 2.775807794460771e-05 loss: 0.0524 (0.0646) loss_seg: 0.0571 (0.0695) loss_lansim: 0.0999 (0.1013) loss_contra: 0.0002 (0.0039) time: 2.5572 data: 0.0026 max mem: 31671 Epoch: [19] [1060/5278] eta: 2:58:28 lr: 2.775580241253834e-05 loss: 0.0534 (0.0645) loss_seg: 0.0572 (0.0694) loss_lansim: 0.0975 (0.1013) loss_contra: 0.0002 (0.0040) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [19] [1070/5278] eta: 2:58:05 lr: 2.7753526859740192e-05 loss: 0.0524 (0.0644) loss_seg: 0.0550 (0.0694) loss_lansim: 0.0975 (0.1012) loss_contra: 0.0002 (0.0042) time: 2.5528 data: 0.0025 max mem: 31671 Epoch: [19] [1080/5278] eta: 2:57:42 lr: 2.7751251286211195e-05 loss: 0.0516 (0.0644) loss_seg: 0.0538 (0.0694) loss_lansim: 0.0969 (0.1012) loss_contra: 0.0002 (0.0041) time: 2.5658 data: 0.0025 max mem: 31671 Epoch: [19] [1090/5278] eta: 2:57:19 lr: 2.7748975691949275e-05 loss: 0.0500 (0.0644) loss_seg: 0.0538 (0.0693) loss_lansim: 0.0968 (0.1012) loss_contra: 0.0002 (0.0041) time: 2.5663 data: 0.0025 max mem: 31671 Epoch: [19] [1100/5278] eta: 2:56:53 lr: 2.7746700076952347e-05 loss: 0.0487 (0.0643) loss_seg: 0.0532 (0.0692) loss_lansim: 0.0969 (0.1013) loss_contra: 0.0002 (0.0041) time: 2.5628 data: 0.0025 max mem: 31671 Epoch: [19] [1110/5278] eta: 2:56:31 lr: 2.7744424441218338e-05 loss: 0.0488 (0.0643) loss_seg: 0.0535 (0.0692) loss_lansim: 0.0989 (0.1013) loss_contra: 0.0002 (0.0041) time: 2.5704 data: 0.0025 max mem: 31671 Epoch: [19] [1120/5278] eta: 2:56:06 lr: 2.7742148784745164e-05 loss: 0.0500 (0.0642) loss_seg: 0.0536 (0.0691) loss_lansim: 0.0997 (0.1013) loss_contra: 0.0002 (0.0041) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [19] [1130/5278] eta: 2:55:41 lr: 2.773987310753074e-05 loss: 0.0485 (0.0640) loss_seg: 0.0526 (0.0689) loss_lansim: 0.0989 (0.1013) loss_contra: 0.0002 (0.0041) time: 2.5749 data: 0.0025 max mem: 31671 Epoch: [19] [1140/5278] eta: 2:55:15 lr: 2.773759740957301e-05 loss: 0.0488 (0.0642) loss_seg: 0.0535 (0.0691) loss_lansim: 0.0965 (0.1012) loss_contra: 0.0002 (0.0042) time: 2.5666 data: 0.0025 max mem: 31671 Epoch: [19] [1150/5278] eta: 2:54:50 lr: 2.7735321690869863e-05 loss: 0.0488 (0.0641) loss_seg: 0.0535 (0.0691) loss_lansim: 0.0968 (0.1012) loss_contra: 0.0001 (0.0042) time: 2.5641 data: 0.0025 max mem: 31671 Epoch: [19] [1160/5278] eta: 2:54:28 lr: 2.773304595141924e-05 loss: 0.0487 (0.0641) loss_seg: 0.0534 (0.0690) loss_lansim: 0.0987 (0.1012) loss_contra: 0.0001 (0.0042) time: 2.5780 data: 0.0025 max mem: 31671 Epoch: [19] [1170/5278] eta: 2:54:04 lr: 2.7730770191219057e-05 loss: 0.0505 (0.0640) loss_seg: 0.0551 (0.0689) loss_lansim: 0.0987 (0.1012) loss_contra: 0.0001 (0.0042) time: 2.5785 data: 0.0025 max mem: 31671 Epoch: [19] [1180/5278] eta: 2:53:39 lr: 2.772849441026723e-05 loss: 0.0505 (0.0639) loss_seg: 0.0551 (0.0688) loss_lansim: 0.0989 (0.1013) loss_contra: 0.0001 (0.0042) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [19] [1190/5278] eta: 2:53:12 lr: 2.772621860856167e-05 loss: 0.0505 (0.0638) loss_seg: 0.0551 (0.0688) loss_lansim: 0.0996 (0.1012) loss_contra: 0.0001 (0.0041) time: 2.5608 data: 0.0025 max mem: 31671 Epoch: [19] [1200/5278] eta: 2:52:43 lr: 2.772394278610031e-05 loss: 0.0522 (0.0639) loss_seg: 0.0554 (0.0688) loss_lansim: 0.1004 (0.1013) loss_contra: 0.0001 (0.0041) time: 2.5526 data: 0.0025 max mem: 31671 Epoch: [19] [1210/5278] eta: 2:52:17 lr: 2.7721666942881054e-05 loss: 0.0505 (0.0637) loss_seg: 0.0540 (0.0686) loss_lansim: 0.0998 (0.1013) loss_contra: 0.0001 (0.0042) time: 2.5421 data: 0.0025 max mem: 31671 Epoch: [19] [1220/5278] eta: 2:51:51 lr: 2.771939107890183e-05 loss: 0.0492 (0.0636) loss_seg: 0.0537 (0.0685) loss_lansim: 0.1009 (0.1014) loss_contra: 0.0001 (0.0042) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [19] [1230/5278] eta: 2:51:24 lr: 2.771711519416054e-05 loss: 0.0500 (0.0635) loss_seg: 0.0537 (0.0684) loss_lansim: 0.1031 (0.1014) loss_contra: 0.0000 (0.0042) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [19] [1240/5278] eta: 2:50:56 lr: 2.7714839288655114e-05 loss: 0.0500 (0.0635) loss_seg: 0.0537 (0.0683) loss_lansim: 0.1035 (0.1014) loss_contra: 0.0000 (0.0042) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [19] [1250/5278] eta: 2:50:30 lr: 2.771256336238347e-05 loss: 0.0489 (0.0634) loss_seg: 0.0513 (0.0682) loss_lansim: 0.1041 (0.1014) loss_contra: 0.0000 (0.0044) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [19] [1260/5278] eta: 2:50:05 lr: 2.7710287415343506e-05 loss: 0.0485 (0.0634) loss_seg: 0.0509 (0.0682) loss_lansim: 0.1044 (0.1015) loss_contra: 0.0000 (0.0044) time: 2.5150 data: 0.0025 max mem: 31671 Epoch: [19] [1270/5278] eta: 2:49:40 lr: 2.770801144753316e-05 loss: 0.0453 (0.0633) loss_seg: 0.0493 (0.0681) loss_lansim: 0.1050 (0.1015) loss_contra: 0.0000 (0.0043) time: 2.5093 data: 0.0025 max mem: 31671 Epoch: [19] [1280/5278] eta: 2:49:16 lr: 2.7705735458950325e-05 loss: 0.0463 (0.0635) loss_seg: 0.0500 (0.0683) loss_lansim: 0.1052 (0.1015) loss_contra: 0.0000 (0.0045) time: 2.5153 data: 0.0026 max mem: 31671 Epoch: [19] [1290/5278] eta: 2:48:50 lr: 2.7703459449592933e-05 loss: 0.0454 (0.0635) loss_seg: 0.0495 (0.0683) loss_lansim: 0.1044 (0.1015) loss_contra: 0.0000 (0.0045) time: 2.5190 data: 0.0026 max mem: 31671 Epoch: [19] [1300/5278] eta: 2:48:22 lr: 2.7701183419458893e-05 loss: 0.0452 (0.0634) loss_seg: 0.0490 (0.0682) loss_lansim: 0.1041 (0.1015) loss_contra: 0.0000 (0.0045) time: 2.5189 data: 0.0026 max mem: 31671 Epoch: [19] [1310/5278] eta: 2:47:55 lr: 2.7698907368546108e-05 loss: 0.0463 (0.0634) loss_seg: 0.0502 (0.0682) loss_lansim: 0.1042 (0.1016) loss_contra: 0.0000 (0.0044) time: 2.5128 data: 0.0026 max mem: 31671 Epoch: [19] [1320/5278] eta: 2:47:30 lr: 2.7696631296852498e-05 loss: 0.0467 (0.0632) loss_seg: 0.0509 (0.0680) loss_lansim: 0.1041 (0.1016) loss_contra: 0.0000 (0.0044) time: 2.5181 data: 0.0026 max mem: 31671 Epoch: [19] [1330/5278] eta: 2:47:03 lr: 2.7694355204375983e-05 loss: 0.0496 (0.0633) loss_seg: 0.0533 (0.0680) loss_lansim: 0.1031 (0.1016) loss_contra: 0.0001 (0.0044) time: 2.5179 data: 0.0025 max mem: 31671 Epoch: [19] [1340/5278] eta: 2:46:35 lr: 2.7692079091114458e-05 loss: 0.0485 (0.0632) loss_seg: 0.0511 (0.0680) loss_lansim: 0.1031 (0.1016) loss_contra: 0.0001 (0.0043) time: 2.5139 data: 0.0025 max mem: 31671 Epoch: [19] [1350/5278] eta: 2:46:09 lr: 2.7689802957065864e-05 loss: 0.0501 (0.0631) loss_seg: 0.0543 (0.0679) loss_lansim: 0.1020 (0.1015) loss_contra: 0.0001 (0.0043) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [19] [1360/5278] eta: 2:45:45 lr: 2.7687526802228082e-05 loss: 0.0510 (0.0632) loss_seg: 0.0552 (0.0680) loss_lansim: 0.1013 (0.1015) loss_contra: 0.0001 (0.0044) time: 2.5184 data: 0.0025 max mem: 31671 Epoch: [19] [1370/5278] eta: 2:45:20 lr: 2.7685250626599034e-05 loss: 0.0552 (0.0633) loss_seg: 0.0582 (0.0681) loss_lansim: 0.1007 (0.1015) loss_contra: 0.0001 (0.0044) time: 2.5211 data: 0.0025 max mem: 31671 Epoch: [19] [1380/5278] eta: 2:44:55 lr: 2.7682974430176644e-05 loss: 0.0505 (0.0631) loss_seg: 0.0543 (0.0679) loss_lansim: 0.1001 (0.1015) loss_contra: 0.0001 (0.0043) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [19] [1390/5278] eta: 2:44:28 lr: 2.76806982129588e-05 loss: 0.0501 (0.0630) loss_seg: 0.0543 (0.0678) loss_lansim: 0.1005 (0.1015) loss_contra: 0.0001 (0.0043) time: 2.5104 data: 0.0025 max mem: 31671 Epoch: [19] [1400/5278] eta: 2:44:04 lr: 2.7678421974943426e-05 loss: 0.0505 (0.0630) loss_seg: 0.0543 (0.0678) loss_lansim: 0.0996 (0.1014) loss_contra: 0.0001 (0.0043) time: 2.5242 data: 0.0025 max mem: 31671 Epoch: [19] [1410/5278] eta: 2:43:38 lr: 2.767614571612843e-05 loss: 0.0501 (0.0630) loss_seg: 0.0542 (0.0677) loss_lansim: 0.0966 (0.1014) loss_contra: 0.0001 (0.0043) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [19] [1420/5278] eta: 2:43:13 lr: 2.767386943651172e-05 loss: 0.0533 (0.0630) loss_seg: 0.0556 (0.0678) loss_lansim: 0.0954 (0.1014) loss_contra: 0.0001 (0.0042) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [19] [1430/5278] eta: 2:42:48 lr: 2.76715931360912e-05 loss: 0.0533 (0.0630) loss_seg: 0.0542 (0.0678) loss_lansim: 0.0966 (0.1014) loss_contra: 0.0001 (0.0042) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [19] [1440/5278] eta: 2:42:24 lr: 2.7669316814864787e-05 loss: 0.0492 (0.0629) loss_seg: 0.0535 (0.0677) loss_lansim: 0.0952 (0.1013) loss_contra: 0.0000 (0.0042) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [19] [1450/5278] eta: 2:41:58 lr: 2.766704047283038e-05 loss: 0.0486 (0.0630) loss_seg: 0.0535 (0.0678) loss_lansim: 0.0955 (0.1013) loss_contra: 0.0001 (0.0042) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [19] [1460/5278] eta: 2:41:33 lr: 2.7664764109985898e-05 loss: 0.0482 (0.0629) loss_seg: 0.0526 (0.0677) loss_lansim: 0.0952 (0.1013) loss_contra: 0.0001 (0.0042) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [19] [1470/5278] eta: 2:41:08 lr: 2.7662487726329234e-05 loss: 0.0482 (0.0629) loss_seg: 0.0530 (0.0676) loss_lansim: 0.0952 (0.1012) loss_contra: 0.0001 (0.0042) time: 2.5450 data: 0.0024 max mem: 31671 Epoch: [19] [1480/5278] eta: 2:40:44 lr: 2.7660211321858303e-05 loss: 0.0513 (0.0630) loss_seg: 0.0542 (0.0677) loss_lansim: 0.0944 (0.1011) loss_contra: 0.0000 (0.0041) time: 2.5515 data: 0.0024 max mem: 31671 Epoch: [19] [1490/5278] eta: 2:40:18 lr: 2.765793489657102e-05 loss: 0.0555 (0.0630) loss_seg: 0.0564 (0.0677) loss_lansim: 0.0941 (0.1011) loss_contra: 0.0001 (0.0043) time: 2.5555 data: 0.0024 max mem: 31671 Epoch: [19] [1500/5278] eta: 2:39:54 lr: 2.765565845046526e-05 loss: 0.0554 (0.0629) loss_seg: 0.0569 (0.0676) loss_lansim: 0.0946 (0.1011) loss_contra: 0.0001 (0.0042) time: 2.5546 data: 0.0024 max mem: 31671 Epoch: [19] [1510/5278] eta: 2:39:29 lr: 2.7653381983538968e-05 loss: 0.0523 (0.0628) loss_seg: 0.0564 (0.0675) loss_lansim: 0.0944 (0.1010) loss_contra: 0.0001 (0.0042) time: 2.5597 data: 0.0024 max mem: 31671 Epoch: [19] [1520/5278] eta: 2:39:04 lr: 2.7651105495790025e-05 loss: 0.0555 (0.0629) loss_seg: 0.0577 (0.0676) loss_lansim: 0.0959 (0.1010) loss_contra: 0.0001 (0.0043) time: 2.5606 data: 0.0024 max mem: 31671 Epoch: [19] [1530/5278] eta: 2:38:39 lr: 2.764882898721634e-05 loss: 0.0515 (0.0628) loss_seg: 0.0554 (0.0675) loss_lansim: 0.0940 (0.1009) loss_contra: 0.0001 (0.0043) time: 2.5584 data: 0.0024 max mem: 31671 Epoch: [19] [1540/5278] eta: 2:38:14 lr: 2.7646552457815822e-05 loss: 0.0535 (0.0628) loss_seg: 0.0569 (0.0676) loss_lansim: 0.0940 (0.1009) loss_contra: 0.0001 (0.0043) time: 2.5582 data: 0.0025 max mem: 31671 Epoch: [19] [1550/5278] eta: 2:37:49 lr: 2.7644275907586364e-05 loss: 0.0535 (0.0628) loss_seg: 0.0569 (0.0675) loss_lansim: 0.0940 (0.1009) loss_contra: 0.0001 (0.0043) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [19] [1560/5278] eta: 2:37:23 lr: 2.7641999336525886e-05 loss: 0.0535 (0.0629) loss_seg: 0.0577 (0.0676) loss_lansim: 0.0940 (0.1008) loss_contra: 0.0001 (0.0042) time: 2.5532 data: 0.0025 max mem: 31671 Epoch: [19] [1570/5278] eta: 2:36:58 lr: 2.763972274463228e-05 loss: 0.0535 (0.0630) loss_seg: 0.0569 (0.0677) loss_lansim: 0.0939 (0.1008) loss_contra: 0.0001 (0.0043) time: 2.5566 data: 0.0025 max mem: 31671 Epoch: [19] [1580/5278] eta: 2:36:34 lr: 2.763744613190345e-05 loss: 0.0535 (0.0630) loss_seg: 0.0577 (0.0677) loss_lansim: 0.0944 (0.1008) loss_contra: 0.0002 (0.0043) time: 2.5551 data: 0.0025 max mem: 31671 Epoch: [19] [1590/5278] eta: 2:36:06 lr: 2.7635169498337304e-05 loss: 0.0523 (0.0629) loss_seg: 0.0556 (0.0676) loss_lansim: 0.0944 (0.1008) loss_contra: 0.0002 (0.0044) time: 2.5450 data: 0.0025 max mem: 31671 Epoch: [19] [1600/5278] eta: 2:35:39 lr: 2.7632892843931735e-05 loss: 0.0535 (0.0632) loss_seg: 0.0577 (0.0680) loss_lansim: 0.0944 (0.1007) loss_contra: 0.0002 (0.0044) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [19] [1610/5278] eta: 2:35:14 lr: 2.7630616168684643e-05 loss: 0.0562 (0.0633) loss_seg: 0.0597 (0.0681) loss_lansim: 0.0944 (0.1007) loss_contra: 0.0002 (0.0044) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [19] [1620/5278] eta: 2:34:47 lr: 2.7628339472593943e-05 loss: 0.0529 (0.0632) loss_seg: 0.0565 (0.0680) loss_lansim: 0.0940 (0.1006) loss_contra: 0.0002 (0.0045) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [19] [1630/5278] eta: 2:34:21 lr: 2.7626062755657522e-05 loss: 0.0542 (0.0633) loss_seg: 0.0590 (0.0680) loss_lansim: 0.0939 (0.1006) loss_contra: 0.0002 (0.0045) time: 2.5239 data: 0.0025 max mem: 31671 Epoch: [19] [1640/5278] eta: 2:33:56 lr: 2.7623786017873286e-05 loss: 0.0562 (0.0633) loss_seg: 0.0597 (0.0680) loss_lansim: 0.0939 (0.1006) loss_contra: 0.0001 (0.0045) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [19] [1650/5278] eta: 2:33:31 lr: 2.762150925923914e-05 loss: 0.0572 (0.0632) loss_seg: 0.0614 (0.0680) loss_lansim: 0.0936 (0.1005) loss_contra: 0.0001 (0.0045) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [19] [1660/5278] eta: 2:33:06 lr: 2.7619232479752972e-05 loss: 0.0565 (0.0631) loss_seg: 0.0614 (0.0679) loss_lansim: 0.0936 (0.1005) loss_contra: 0.0001 (0.0045) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [19] [1670/5278] eta: 2:32:40 lr: 2.7616955679412693e-05 loss: 0.0538 (0.0631) loss_seg: 0.0590 (0.0678) loss_lansim: 0.0940 (0.1005) loss_contra: 0.0001 (0.0045) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [19] [1680/5278] eta: 2:32:17 lr: 2.7614678858216193e-05 loss: 0.0529 (0.0630) loss_seg: 0.0575 (0.0678) loss_lansim: 0.0936 (0.1004) loss_contra: 0.0001 (0.0044) time: 2.5255 data: 0.0026 max mem: 31671 Epoch: [19] [1690/5278] eta: 2:31:53 lr: 2.761240201616137e-05 loss: 0.0565 (0.0631) loss_seg: 0.0622 (0.0679) loss_lansim: 0.0936 (0.1004) loss_contra: 0.0001 (0.0044) time: 2.5426 data: 0.0026 max mem: 31671 Epoch: [19] [1700/5278] eta: 2:31:26 lr: 2.7610125153246136e-05 loss: 0.0572 (0.0632) loss_seg: 0.0625 (0.0680) loss_lansim: 0.0936 (0.1004) loss_contra: 0.0001 (0.0044) time: 2.5459 data: 0.0026 max mem: 31671 Epoch: [19] [1710/5278] eta: 2:30:58 lr: 2.760784826946836e-05 loss: 0.0565 (0.0632) loss_seg: 0.0606 (0.0679) loss_lansim: 0.0939 (0.1004) loss_contra: 0.0001 (0.0044) time: 2.5319 data: 0.0025 max mem: 31671 Epoch: [19] [1720/5278] eta: 2:30:32 lr: 2.760557136482597e-05 loss: 0.0565 (0.0631) loss_seg: 0.0611 (0.0679) loss_lansim: 0.0954 (0.1004) loss_contra: 0.0001 (0.0044) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [19] [1730/5278] eta: 2:30:07 lr: 2.7603294439316847e-05 loss: 0.0566 (0.0631) loss_seg: 0.0611 (0.0678) loss_lansim: 0.0954 (0.1003) loss_contra: 0.0001 (0.0044) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [19] [1740/5278] eta: 2:29:43 lr: 2.7601017492938886e-05 loss: 0.0565 (0.0631) loss_seg: 0.0606 (0.0679) loss_lansim: 0.0957 (0.1003) loss_contra: 0.0001 (0.0043) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [19] [1750/5278] eta: 2:29:16 lr: 2.7598740525689985e-05 loss: 0.0565 (0.0631) loss_seg: 0.0592 (0.0679) loss_lansim: 0.0960 (0.1003) loss_contra: 0.0001 (0.0043) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [19] [1760/5278] eta: 2:28:49 lr: 2.759646353756804e-05 loss: 0.0565 (0.0631) loss_seg: 0.0589 (0.0679) loss_lansim: 0.0960 (0.1003) loss_contra: 0.0001 (0.0044) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [19] [1770/5278] eta: 2:28:22 lr: 2.7594186528570954e-05 loss: 0.0578 (0.0631) loss_seg: 0.0622 (0.0679) loss_lansim: 0.0964 (0.1003) loss_contra: 0.0001 (0.0044) time: 2.5161 data: 0.0025 max mem: 31671 Epoch: [19] [1780/5278] eta: 2:27:57 lr: 2.7591909498696605e-05 loss: 0.0575 (0.0630) loss_seg: 0.0606 (0.0678) loss_lansim: 0.0964 (0.1003) loss_contra: 0.0000 (0.0044) time: 2.5107 data: 0.0024 max mem: 31671 Epoch: [19] [1790/5278] eta: 2:27:29 lr: 2.7589632447942903e-05 loss: 0.0555 (0.0630) loss_seg: 0.0588 (0.0678) loss_lansim: 0.0968 (0.1003) loss_contra: 0.0000 (0.0044) time: 2.4931 data: 0.0024 max mem: 31671 Epoch: [19] [1800/5278] eta: 2:27:03 lr: 2.7587355376307732e-05 loss: 0.0543 (0.0630) loss_seg: 0.0582 (0.0678) loss_lansim: 0.0964 (0.1002) loss_contra: 0.0000 (0.0044) time: 2.4921 data: 0.0024 max mem: 31671 Epoch: [19] [1810/5278] eta: 2:26:40 lr: 2.758507828378899e-05 loss: 0.0547 (0.0630) loss_seg: 0.0595 (0.0678) loss_lansim: 0.0962 (0.1002) loss_contra: 0.0000 (0.0044) time: 2.5150 data: 0.0024 max mem: 31671 Epoch: [19] [1820/5278] eta: 2:26:15 lr: 2.758280117038457e-05 loss: 0.0547 (0.0630) loss_seg: 0.0596 (0.0677) loss_lansim: 0.0957 (0.1002) loss_contra: 0.0000 (0.0043) time: 2.5207 data: 0.0024 max mem: 31671 Epoch: [19] [1830/5278] eta: 2:25:49 lr: 2.7580524036092366e-05 loss: 0.0539 (0.0629) loss_seg: 0.0582 (0.0677) loss_lansim: 0.0957 (0.1002) loss_contra: 0.0000 (0.0043) time: 2.5167 data: 0.0024 max mem: 31671 Epoch: [19] [1840/5278] eta: 2:25:23 lr: 2.7578246880910252e-05 loss: 0.0516 (0.0628) loss_seg: 0.0540 (0.0676) loss_lansim: 0.0949 (0.1001) loss_contra: 0.0000 (0.0043) time: 2.5046 data: 0.0024 max mem: 31671 Epoch: [19] [1850/5278] eta: 2:24:58 lr: 2.7575969704836153e-05 loss: 0.0484 (0.0627) loss_seg: 0.0531 (0.0675) loss_lansim: 0.0947 (0.1001) loss_contra: 0.0000 (0.0043) time: 2.5147 data: 0.0024 max mem: 31671 Epoch: [19] [1860/5278] eta: 2:24:33 lr: 2.7573692507867933e-05 loss: 0.0490 (0.0628) loss_seg: 0.0532 (0.0675) loss_lansim: 0.0947 (0.1001) loss_contra: 0.0000 (0.0043) time: 2.5272 data: 0.0024 max mem: 31671 Epoch: [19] [1870/5278] eta: 2:24:07 lr: 2.7571415290003494e-05 loss: 0.0484 (0.0627) loss_seg: 0.0531 (0.0675) loss_lansim: 0.0936 (0.1000) loss_contra: 0.0000 (0.0043) time: 2.5290 data: 0.0024 max mem: 31671 Epoch: [19] [1880/5278] eta: 2:23:41 lr: 2.7569138051240734e-05 loss: 0.0490 (0.0627) loss_seg: 0.0531 (0.0675) loss_lansim: 0.0936 (0.1000) loss_contra: 0.0000 (0.0043) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [19] [1890/5278] eta: 2:23:16 lr: 2.7566860791577527e-05 loss: 0.0526 (0.0628) loss_seg: 0.0572 (0.0676) loss_lansim: 0.0941 (0.1000) loss_contra: 0.0000 (0.0042) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [19] [1900/5278] eta: 2:22:51 lr: 2.7564583511011766e-05 loss: 0.0540 (0.0629) loss_seg: 0.0579 (0.0676) loss_lansim: 0.0941 (0.1000) loss_contra: 0.0000 (0.0042) time: 2.5470 data: 0.0024 max mem: 31671 Epoch: [19] [1910/5278] eta: 2:22:27 lr: 2.756230620954135e-05 loss: 0.0540 (0.0629) loss_seg: 0.0579 (0.0677) loss_lansim: 0.0946 (0.1000) loss_contra: 0.0000 (0.0042) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [19] [1920/5278] eta: 2:22:05 lr: 2.7560028887164152e-05 loss: 0.0550 (0.0629) loss_seg: 0.0588 (0.0677) loss_lansim: 0.0941 (0.0999) loss_contra: 0.0000 (0.0042) time: 2.5572 data: 0.0025 max mem: 31671 Epoch: [19] [1930/5278] eta: 2:21:38 lr: 2.7557751543878085e-05 loss: 0.0570 (0.0629) loss_seg: 0.0594 (0.0676) loss_lansim: 0.0951 (0.1000) loss_contra: 0.0001 (0.0043) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [19] [1940/5278] eta: 2:21:13 lr: 2.7555474179681017e-05 loss: 0.0578 (0.0629) loss_seg: 0.0631 (0.0676) loss_lansim: 0.0951 (0.0999) loss_contra: 0.0001 (0.0043) time: 2.5562 data: 0.0025 max mem: 31671 Epoch: [19] [1950/5278] eta: 2:20:47 lr: 2.755319679457084e-05 loss: 0.0578 (0.0629) loss_seg: 0.0631 (0.0676) loss_lansim: 0.0946 (0.0999) loss_contra: 0.0001 (0.0043) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [19] [1960/5278] eta: 2:20:22 lr: 2.7550919388545447e-05 loss: 0.0594 (0.0630) loss_seg: 0.0649 (0.0677) loss_lansim: 0.0938 (0.0999) loss_contra: 0.0001 (0.0043) time: 2.5560 data: 0.0025 max mem: 31671 Epoch: [19] [1970/5278] eta: 2:19:56 lr: 2.7548641961602716e-05 loss: 0.0607 (0.0631) loss_seg: 0.0653 (0.0679) loss_lansim: 0.0938 (0.0998) loss_contra: 0.0001 (0.0043) time: 2.5567 data: 0.0025 max mem: 31671 Epoch: [19] [1980/5278] eta: 2:19:30 lr: 2.7546364513740542e-05 loss: 0.0630 (0.0632) loss_seg: 0.0669 (0.0680) loss_lansim: 0.0928 (0.0998) loss_contra: 0.0001 (0.0043) time: 2.5533 data: 0.0025 max mem: 31671 Epoch: [19] [1990/5278] eta: 2:19:06 lr: 2.7544087044956806e-05 loss: 0.0605 (0.0632) loss_seg: 0.0652 (0.0680) loss_lansim: 0.0918 (0.0998) loss_contra: 0.0001 (0.0042) time: 2.5572 data: 0.0025 max mem: 31671 Epoch: [19] [2000/5278] eta: 2:18:41 lr: 2.7541809555249388e-05 loss: 0.0594 (0.0633) loss_seg: 0.0649 (0.0681) loss_lansim: 0.0928 (0.0998) loss_contra: 0.0001 (0.0042) time: 2.5618 data: 0.0025 max mem: 31671 Epoch: [19] [2010/5278] eta: 2:18:16 lr: 2.753953204461619e-05 loss: 0.0594 (0.0633) loss_seg: 0.0649 (0.0681) loss_lansim: 0.0928 (0.0998) loss_contra: 0.0001 (0.0042) time: 2.5545 data: 0.0024 max mem: 31671 Epoch: [19] [2020/5278] eta: 2:17:50 lr: 2.7537254513055082e-05 loss: 0.0586 (0.0632) loss_seg: 0.0643 (0.0680) loss_lansim: 0.0928 (0.0997) loss_contra: 0.0001 (0.0042) time: 2.5370 data: 0.0024 max mem: 31671 Epoch: [19] [2030/5278] eta: 2:17:25 lr: 2.753497696056396e-05 loss: 0.0586 (0.0632) loss_seg: 0.0648 (0.0680) loss_lansim: 0.0922 (0.0997) loss_contra: 0.0001 (0.0042) time: 2.5465 data: 0.0024 max mem: 31671 Epoch: [19] [2040/5278] eta: 2:16:58 lr: 2.7532699387140697e-05 loss: 0.0586 (0.0632) loss_seg: 0.0635 (0.0680) loss_lansim: 0.0922 (0.0997) loss_contra: 0.0001 (0.0042) time: 2.5361 data: 0.0024 max mem: 31671 Epoch: [19] [2050/5278] eta: 2:16:33 lr: 2.7530421792783178e-05 loss: 0.0627 (0.0638) loss_seg: 0.0649 (0.0686) loss_lansim: 0.0938 (0.0997) loss_contra: 0.0001 (0.0041) time: 2.5356 data: 0.0024 max mem: 31671 Epoch: [19] [2060/5278] eta: 2:16:08 lr: 2.7528144177489295e-05 loss: 0.0567 (0.0638) loss_seg: 0.0625 (0.0686) loss_lansim: 0.0939 (0.0997) loss_contra: 0.0001 (0.0041) time: 2.5382 data: 0.0024 max mem: 31671 Epoch: [19] [2070/5278] eta: 2:15:43 lr: 2.7525866541256924e-05 loss: 0.0539 (0.0638) loss_seg: 0.0557 (0.0686) loss_lansim: 0.0947 (0.0996) loss_contra: 0.0001 (0.0041) time: 2.5425 data: 0.0024 max mem: 31671 Epoch: [19] [2080/5278] eta: 2:15:17 lr: 2.7523588884083946e-05 loss: 0.0539 (0.0637) loss_seg: 0.0565 (0.0686) loss_lansim: 0.0951 (0.0996) loss_contra: 0.0001 (0.0041) time: 2.5438 data: 0.0024 max mem: 31671 Epoch: [19] [2090/5278] eta: 2:14:52 lr: 2.7521311205968252e-05 loss: 0.0533 (0.0637) loss_seg: 0.0557 (0.0685) loss_lansim: 0.0952 (0.0996) loss_contra: 0.0001 (0.0041) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [19] [2100/5278] eta: 2:14:27 lr: 2.7519033506907717e-05 loss: 0.0507 (0.0636) loss_seg: 0.0549 (0.0685) loss_lansim: 0.0947 (0.0996) loss_contra: 0.0001 (0.0041) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [19] [2110/5278] eta: 2:14:00 lr: 2.7516755786900212e-05 loss: 0.0507 (0.0637) loss_seg: 0.0549 (0.0685) loss_lansim: 0.0957 (0.0996) loss_contra: 0.0001 (0.0043) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [19] [2120/5278] eta: 2:13:35 lr: 2.7514478045943642e-05 loss: 0.0532 (0.0637) loss_seg: 0.0558 (0.0685) loss_lansim: 0.0959 (0.0996) loss_contra: 0.0001 (0.0043) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [19] [2130/5278] eta: 2:13:09 lr: 2.751220028403586e-05 loss: 0.0539 (0.0637) loss_seg: 0.0565 (0.0686) loss_lansim: 0.0963 (0.0996) loss_contra: 0.0001 (0.0043) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [19] [2140/5278] eta: 2:12:44 lr: 2.7509922501174767e-05 loss: 0.0580 (0.0638) loss_seg: 0.0625 (0.0686) loss_lansim: 0.0992 (0.0996) loss_contra: 0.0001 (0.0043) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [19] [2150/5278] eta: 2:12:18 lr: 2.7507644697358235e-05 loss: 0.0567 (0.0638) loss_seg: 0.0618 (0.0686) loss_lansim: 0.0963 (0.0995) loss_contra: 0.0002 (0.0044) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [19] [2160/5278] eta: 2:11:51 lr: 2.7505366872584143e-05 loss: 0.0580 (0.0638) loss_seg: 0.0588 (0.0685) loss_lansim: 0.0962 (0.0995) loss_contra: 0.0002 (0.0044) time: 2.5100 data: 0.0025 max mem: 31671 Epoch: [19] [2170/5278] eta: 2:11:25 lr: 2.750308902685037e-05 loss: 0.0580 (0.0637) loss_seg: 0.0589 (0.0685) loss_lansim: 0.0957 (0.0995) loss_contra: 0.0002 (0.0044) time: 2.5086 data: 0.0025 max mem: 31671 Epoch: [19] [2180/5278] eta: 2:11:01 lr: 2.7500811160154794e-05 loss: 0.0564 (0.0637) loss_seg: 0.0589 (0.0684) loss_lansim: 0.0952 (0.0994) loss_contra: 0.0001 (0.0044) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [19] [2190/5278] eta: 2:10:35 lr: 2.749853327249529e-05 loss: 0.0562 (0.0636) loss_seg: 0.0556 (0.0684) loss_lansim: 0.0942 (0.0994) loss_contra: 0.0001 (0.0044) time: 2.5193 data: 0.0025 max mem: 31671 Epoch: [19] [2200/5278] eta: 2:10:10 lr: 2.7496255363869745e-05 loss: 0.0583 (0.0636) loss_seg: 0.0599 (0.0684) loss_lansim: 0.0946 (0.0994) loss_contra: 0.0001 (0.0045) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [19] [2210/5278] eta: 2:09:43 lr: 2.749397743427602e-05 loss: 0.0583 (0.0637) loss_seg: 0.0599 (0.0684) loss_lansim: 0.0941 (0.0994) loss_contra: 0.0001 (0.0045) time: 2.5108 data: 0.0024 max mem: 31671 Epoch: [19] [2220/5278] eta: 2:09:17 lr: 2.7491699483712012e-05 loss: 0.0562 (0.0637) loss_seg: 0.0598 (0.0684) loss_lansim: 0.0942 (0.0994) loss_contra: 0.0001 (0.0045) time: 2.5093 data: 0.0024 max mem: 31671 Epoch: [19] [2230/5278] eta: 2:08:50 lr: 2.7489421512175584e-05 loss: 0.0562 (0.0637) loss_seg: 0.0589 (0.0685) loss_lansim: 0.0942 (0.0994) loss_contra: 0.0001 (0.0045) time: 2.5010 data: 0.0024 max mem: 31671 Epoch: [19] [2240/5278] eta: 2:08:25 lr: 2.748714351966461e-05 loss: 0.0563 (0.0638) loss_seg: 0.0598 (0.0686) loss_lansim: 0.0939 (0.0993) loss_contra: 0.0001 (0.0045) time: 2.5019 data: 0.0024 max mem: 31671 Epoch: [19] [2250/5278] eta: 2:08:00 lr: 2.7484865506176978e-05 loss: 0.0575 (0.0639) loss_seg: 0.0615 (0.0687) loss_lansim: 0.0924 (0.0993) loss_contra: 0.0001 (0.0045) time: 2.5074 data: 0.0024 max mem: 31671 Epoch: [19] [2260/5278] eta: 2:07:36 lr: 2.7482587471710542e-05 loss: 0.0583 (0.0639) loss_seg: 0.0631 (0.0687) loss_lansim: 0.0933 (0.0993) loss_contra: 0.0001 (0.0046) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [19] [2270/5278] eta: 2:07:10 lr: 2.74803094162632e-05 loss: 0.0583 (0.0641) loss_seg: 0.0631 (0.0689) loss_lansim: 0.0940 (0.0993) loss_contra: 0.0001 (0.0048) time: 2.5289 data: 0.0024 max mem: 31671 Epoch: [19] [2280/5278] eta: 2:06:46 lr: 2.7478031339832812e-05 loss: 0.0603 (0.0641) loss_seg: 0.0641 (0.0690) loss_lansim: 0.0933 (0.0993) loss_contra: 0.0001 (0.0047) time: 2.5271 data: 0.0024 max mem: 31671 Epoch: [19] [2290/5278] eta: 2:06:20 lr: 2.747575324241726e-05 loss: 0.0610 (0.0642) loss_seg: 0.0666 (0.0690) loss_lansim: 0.0929 (0.0992) loss_contra: 0.0001 (0.0048) time: 2.5275 data: 0.0024 max mem: 31671 Epoch: [19] [2300/5278] eta: 2:05:54 lr: 2.7473475124014408e-05 loss: 0.0608 (0.0641) loss_seg: 0.0650 (0.0689) loss_lansim: 0.0933 (0.0992) loss_contra: 0.0001 (0.0048) time: 2.5242 data: 0.0024 max mem: 31671 Epoch: [19] [2310/5278] eta: 2:05:29 lr: 2.7471196984622138e-05 loss: 0.0575 (0.0641) loss_seg: 0.0628 (0.0689) loss_lansim: 0.0920 (0.0992) loss_contra: 0.0001 (0.0049) time: 2.5330 data: 0.0024 max mem: 31671 Epoch: [19] [2320/5278] eta: 2:05:04 lr: 2.7468918824238315e-05 loss: 0.0575 (0.0640) loss_seg: 0.0628 (0.0688) loss_lansim: 0.0920 (0.0992) loss_contra: 0.0001 (0.0048) time: 2.5393 data: 0.0024 max mem: 31671 Epoch: [19] [2330/5278] eta: 2:04:39 lr: 2.746664064286082e-05 loss: 0.0569 (0.0640) loss_seg: 0.0617 (0.0688) loss_lansim: 0.0924 (0.0992) loss_contra: 0.0001 (0.0048) time: 2.5555 data: 0.0024 max mem: 31671 Epoch: [19] [2340/5278] eta: 2:04:15 lr: 2.7464362440487507e-05 loss: 0.0545 (0.0640) loss_seg: 0.0601 (0.0687) loss_lansim: 0.0929 (0.0991) loss_contra: 0.0001 (0.0049) time: 2.5600 data: 0.0024 max mem: 31671 Epoch: [19] [2350/5278] eta: 2:03:49 lr: 2.7462084217116275e-05 loss: 0.0560 (0.0640) loss_seg: 0.0602 (0.0687) loss_lansim: 0.0942 (0.0991) loss_contra: 0.0001 (0.0048) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [19] [2360/5278] eta: 2:03:24 lr: 2.7459805972744967e-05 loss: 0.0544 (0.0639) loss_seg: 0.0581 (0.0687) loss_lansim: 0.0930 (0.0991) loss_contra: 0.0001 (0.0048) time: 2.5517 data: 0.0025 max mem: 31671 Epoch: [19] [2370/5278] eta: 2:02:58 lr: 2.745752770737147e-05 loss: 0.0560 (0.0640) loss_seg: 0.0596 (0.0687) loss_lansim: 0.0930 (0.0991) loss_contra: 0.0001 (0.0048) time: 2.5501 data: 0.0025 max mem: 31671 Epoch: [19] [2380/5278] eta: 2:02:33 lr: 2.7455249420993655e-05 loss: 0.0549 (0.0640) loss_seg: 0.0596 (0.0688) loss_lansim: 0.0942 (0.0991) loss_contra: 0.0001 (0.0048) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [19] [2390/5278] eta: 2:02:08 lr: 2.7452971113609382e-05 loss: 0.0542 (0.0640) loss_seg: 0.0581 (0.0688) loss_lansim: 0.0960 (0.0991) loss_contra: 0.0001 (0.0048) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [19] [2400/5278] eta: 2:01:42 lr: 2.745069278521653e-05 loss: 0.0532 (0.0641) loss_seg: 0.0558 (0.0689) loss_lansim: 0.0954 (0.0991) loss_contra: 0.0001 (0.0048) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [19] [2410/5278] eta: 2:01:17 lr: 2.7448414435812964e-05 loss: 0.0549 (0.0642) loss_seg: 0.0596 (0.0689) loss_lansim: 0.0955 (0.0991) loss_contra: 0.0001 (0.0048) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [19] [2420/5278] eta: 2:00:52 lr: 2.7446136065396537e-05 loss: 0.0566 (0.0642) loss_seg: 0.0618 (0.0690) loss_lansim: 0.0954 (0.0990) loss_contra: 0.0001 (0.0048) time: 2.5567 data: 0.0025 max mem: 31671 Epoch: [19] [2430/5278] eta: 2:00:26 lr: 2.7443857673965152e-05 loss: 0.0569 (0.0642) loss_seg: 0.0618 (0.0690) loss_lansim: 0.0954 (0.0991) loss_contra: 0.0002 (0.0048) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [19] [2440/5278] eta: 2:00:01 lr: 2.7441579261516643e-05 loss: 0.0569 (0.0642) loss_seg: 0.0607 (0.0690) loss_lansim: 0.0955 (0.0990) loss_contra: 0.0001 (0.0048) time: 2.5363 data: 0.0025 max mem: 31671 Epoch: [19] [2450/5278] eta: 1:59:35 lr: 2.7439300828048892e-05 loss: 0.0542 (0.0641) loss_seg: 0.0596 (0.0689) loss_lansim: 0.0957 (0.0990) loss_contra: 0.0001 (0.0048) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [19] [2460/5278] eta: 1:59:09 lr: 2.7437022373559767e-05 loss: 0.0533 (0.0641) loss_seg: 0.0583 (0.0689) loss_lansim: 0.0955 (0.0990) loss_contra: 0.0001 (0.0047) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [19] [2470/5278] eta: 1:58:43 lr: 2.7434743898047127e-05 loss: 0.0510 (0.0640) loss_seg: 0.0549 (0.0688) loss_lansim: 0.0949 (0.0990) loss_contra: 0.0001 (0.0048) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [19] [2480/5278] eta: 1:58:18 lr: 2.7432465401508843e-05 loss: 0.0529 (0.0642) loss_seg: 0.0558 (0.0690) loss_lansim: 0.0931 (0.0990) loss_contra: 0.0001 (0.0048) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [19] [2490/5278] eta: 1:57:52 lr: 2.7430186883942786e-05 loss: 0.0533 (0.0644) loss_seg: 0.0583 (0.0692) loss_lansim: 0.0933 (0.0990) loss_contra: 0.0001 (0.0048) time: 2.5184 data: 0.0025 max mem: 31671 Epoch: [19] [2500/5278] eta: 1:57:27 lr: 2.742790834534681e-05 loss: 0.0533 (0.0644) loss_seg: 0.0583 (0.0692) loss_lansim: 0.0947 (0.0990) loss_contra: 0.0001 (0.0048) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [19] [2510/5278] eta: 1:57:01 lr: 2.7425629785718787e-05 loss: 0.0525 (0.0644) loss_seg: 0.0555 (0.0692) loss_lansim: 0.0947 (0.0990) loss_contra: 0.0001 (0.0048) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [19] [2520/5278] eta: 1:56:35 lr: 2.742335120505658e-05 loss: 0.0532 (0.0645) loss_seg: 0.0572 (0.0693) loss_lansim: 0.0950 (0.0990) loss_contra: 0.0001 (0.0047) time: 2.5102 data: 0.0025 max mem: 31671 Epoch: [19] [2530/5278] eta: 1:56:10 lr: 2.7421072603358046e-05 loss: 0.0536 (0.0645) loss_seg: 0.0583 (0.0693) loss_lansim: 0.0960 (0.0990) loss_contra: 0.0001 (0.0047) time: 2.5134 data: 0.0025 max mem: 31671 Epoch: [19] [2540/5278] eta: 1:55:44 lr: 2.7418793980621065e-05 loss: 0.0551 (0.0646) loss_seg: 0.0591 (0.0694) loss_lansim: 0.0962 (0.0990) loss_contra: 0.0001 (0.0047) time: 2.5099 data: 0.0025 max mem: 31671 Epoch: [19] [2550/5278] eta: 1:55:18 lr: 2.7416515336843473e-05 loss: 0.0532 (0.0645) loss_seg: 0.0583 (0.0693) loss_lansim: 0.0961 (0.0990) loss_contra: 0.0001 (0.0047) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [19] [2560/5278] eta: 1:54:52 lr: 2.7414236672023165e-05 loss: 0.0560 (0.0645) loss_seg: 0.0614 (0.0694) loss_lansim: 0.0964 (0.0990) loss_contra: 0.0001 (0.0047) time: 2.5095 data: 0.0025 max mem: 31671 Epoch: [19] [2570/5278] eta: 1:54:27 lr: 2.7411957986157984e-05 loss: 0.0624 (0.0646) loss_seg: 0.0685 (0.0694) loss_lansim: 0.0961 (0.0989) loss_contra: 0.0001 (0.0048) time: 2.5097 data: 0.0025 max mem: 31671 Epoch: [19] [2580/5278] eta: 1:54:01 lr: 2.7409679279245785e-05 loss: 0.0573 (0.0646) loss_seg: 0.0634 (0.0694) loss_lansim: 0.0961 (0.0989) loss_contra: 0.0001 (0.0048) time: 2.5074 data: 0.0024 max mem: 31671 Epoch: [19] [2590/5278] eta: 1:53:36 lr: 2.7407400551284456e-05 loss: 0.0560 (0.0646) loss_seg: 0.0614 (0.0694) loss_lansim: 0.0950 (0.0988) loss_contra: 0.0001 (0.0048) time: 2.5094 data: 0.0025 max mem: 31671 Epoch: [19] [2600/5278] eta: 1:53:11 lr: 2.7405121802271834e-05 loss: 0.0560 (0.0645) loss_seg: 0.0614 (0.0694) loss_lansim: 0.0944 (0.0988) loss_contra: 0.0001 (0.0047) time: 2.5161 data: 0.0025 max mem: 31671 Epoch: [19] [2610/5278] eta: 1:52:45 lr: 2.7402843032205784e-05 loss: 0.0587 (0.0646) loss_seg: 0.0637 (0.0694) loss_lansim: 0.0942 (0.0988) loss_contra: 0.0001 (0.0047) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [19] [2620/5278] eta: 1:52:20 lr: 2.740056424108417e-05 loss: 0.0560 (0.0646) loss_seg: 0.0584 (0.0694) loss_lansim: 0.0919 (0.0988) loss_contra: 0.0001 (0.0049) time: 2.5141 data: 0.0025 max mem: 31671 Epoch: [19] [2630/5278] eta: 1:51:54 lr: 2.7398285428904847e-05 loss: 0.0597 (0.0646) loss_seg: 0.0649 (0.0694) loss_lansim: 0.0914 (0.0988) loss_contra: 0.0002 (0.0049) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [19] [2640/5278] eta: 1:51:29 lr: 2.739600659566569e-05 loss: 0.0578 (0.0646) loss_seg: 0.0637 (0.0694) loss_lansim: 0.0912 (0.0988) loss_contra: 0.0002 (0.0053) time: 2.5165 data: 0.0025 max mem: 31671 Epoch: [19] [2650/5278] eta: 1:51:03 lr: 2.739372774136454e-05 loss: 0.0585 (0.0646) loss_seg: 0.0638 (0.0694) loss_lansim: 0.0914 (0.0988) loss_contra: 0.0002 (0.0053) time: 2.5131 data: 0.0025 max mem: 31671 Epoch: [19] [2660/5278] eta: 1:50:37 lr: 2.739144886599926e-05 loss: 0.0593 (0.0646) loss_seg: 0.0653 (0.0694) loss_lansim: 0.0916 (0.0988) loss_contra: 0.0002 (0.0053) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [19] [2670/5278] eta: 1:50:12 lr: 2.7389169969567712e-05 loss: 0.0585 (0.0646) loss_seg: 0.0638 (0.0694) loss_lansim: 0.0932 (0.0988) loss_contra: 0.0001 (0.0053) time: 2.5228 data: 0.0025 max mem: 31671 Epoch: [19] [2680/5278] eta: 1:49:46 lr: 2.7386891052067755e-05 loss: 0.0587 (0.0646) loss_seg: 0.0642 (0.0694) loss_lansim: 0.0932 (0.0988) loss_contra: 0.0002 (0.0052) time: 2.5182 data: 0.0026 max mem: 31671 Epoch: [19] [2690/5278] eta: 1:49:21 lr: 2.738461211349724e-05 loss: 0.0593 (0.0646) loss_seg: 0.0642 (0.0694) loss_lansim: 0.0932 (0.0987) loss_contra: 0.0002 (0.0052) time: 2.5189 data: 0.0025 max mem: 31671 Epoch: [19] [2700/5278] eta: 1:48:55 lr: 2.738233315385403e-05 loss: 0.0597 (0.0646) loss_seg: 0.0617 (0.0694) loss_lansim: 0.0943 (0.0987) loss_contra: 0.0001 (0.0052) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [19] [2710/5278] eta: 1:48:29 lr: 2.7380054173135967e-05 loss: 0.0593 (0.0646) loss_seg: 0.0613 (0.0694) loss_lansim: 0.0946 (0.0987) loss_contra: 0.0001 (0.0052) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [19] [2720/5278] eta: 1:48:04 lr: 2.7377775171340924e-05 loss: 0.0558 (0.0645) loss_seg: 0.0595 (0.0693) loss_lansim: 0.0955 (0.0987) loss_contra: 0.0001 (0.0052) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [19] [2730/5278] eta: 1:47:39 lr: 2.737549614846675e-05 loss: 0.0541 (0.0646) loss_seg: 0.0574 (0.0694) loss_lansim: 0.0932 (0.0987) loss_contra: 0.0001 (0.0052) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [19] [2740/5278] eta: 1:47:14 lr: 2.7373217104511306e-05 loss: 0.0551 (0.0646) loss_seg: 0.0574 (0.0694) loss_lansim: 0.0940 (0.0986) loss_contra: 0.0000 (0.0053) time: 2.5234 data: 0.0025 max mem: 31671 Epoch: [19] [2750/5278] eta: 1:46:49 lr: 2.7370938039472436e-05 loss: 0.0537 (0.0646) loss_seg: 0.0574 (0.0693) loss_lansim: 0.0939 (0.0986) loss_contra: 0.0000 (0.0053) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [19] [2760/5278] eta: 1:46:23 lr: 2.7368658953348e-05 loss: 0.0521 (0.0645) loss_seg: 0.0551 (0.0693) loss_lansim: 0.0934 (0.0986) loss_contra: 0.0001 (0.0052) time: 2.5315 data: 0.0024 max mem: 31671 Epoch: [19] [2770/5278] eta: 1:45:57 lr: 2.736637984613586e-05 loss: 0.0527 (0.0646) loss_seg: 0.0553 (0.0693) loss_lansim: 0.0939 (0.0986) loss_contra: 0.0001 (0.0052) time: 2.5231 data: 0.0024 max mem: 31671 Epoch: [19] [2780/5278] eta: 1:45:32 lr: 2.736410071783385e-05 loss: 0.0527 (0.0646) loss_seg: 0.0549 (0.0693) loss_lansim: 0.0939 (0.0985) loss_contra: 0.0001 (0.0052) time: 2.5269 data: 0.0024 max mem: 31671 Epoch: [19] [2790/5278] eta: 1:45:06 lr: 2.7361821568439837e-05 loss: 0.0515 (0.0645) loss_seg: 0.0531 (0.0693) loss_lansim: 0.0940 (0.0985) loss_contra: 0.0001 (0.0052) time: 2.5244 data: 0.0024 max mem: 31671 Epoch: [19] [2800/5278] eta: 1:44:41 lr: 2.735954239795168e-05 loss: 0.0505 (0.0645) loss_seg: 0.0526 (0.0693) loss_lansim: 0.0933 (0.0985) loss_contra: 0.0001 (0.0052) time: 2.5356 data: 0.0024 max mem: 31671 Epoch: [19] [2810/5278] eta: 1:44:16 lr: 2.7357263206367213e-05 loss: 0.0505 (0.0645) loss_seg: 0.0523 (0.0693) loss_lansim: 0.0922 (0.0984) loss_contra: 0.0001 (0.0052) time: 2.5396 data: 0.0024 max mem: 31671 Epoch: [19] [2820/5278] eta: 1:43:51 lr: 2.7354983993684303e-05 loss: 0.0501 (0.0644) loss_seg: 0.0520 (0.0692) loss_lansim: 0.0922 (0.0984) loss_contra: 0.0001 (0.0052) time: 2.5431 data: 0.0024 max mem: 31671 Epoch: [19] [2830/5278] eta: 1:43:26 lr: 2.7352704759900793e-05 loss: 0.0511 (0.0645) loss_seg: 0.0520 (0.0692) loss_lansim: 0.0931 (0.0984) loss_contra: 0.0001 (0.0052) time: 2.5410 data: 0.0024 max mem: 31671 Epoch: [19] [2840/5278] eta: 1:43:00 lr: 2.735042550501453e-05 loss: 0.0527 (0.0644) loss_seg: 0.0541 (0.0692) loss_lansim: 0.0922 (0.0984) loss_contra: 0.0001 (0.0052) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [19] [2850/5278] eta: 1:42:35 lr: 2.734814622902338e-05 loss: 0.0527 (0.0644) loss_seg: 0.0544 (0.0692) loss_lansim: 0.0918 (0.0983) loss_contra: 0.0001 (0.0052) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [19] [2860/5278] eta: 1:42:10 lr: 2.734586693192518e-05 loss: 0.0538 (0.0645) loss_seg: 0.0568 (0.0692) loss_lansim: 0.0906 (0.0983) loss_contra: 0.0002 (0.0052) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [19] [2870/5278] eta: 1:41:45 lr: 2.7343587613717788e-05 loss: 0.0552 (0.0646) loss_seg: 0.0590 (0.0693) loss_lansim: 0.0900 (0.0983) loss_contra: 0.0001 (0.0052) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [19] [2880/5278] eta: 1:41:19 lr: 2.7341308274399048e-05 loss: 0.0545 (0.0645) loss_seg: 0.0590 (0.0693) loss_lansim: 0.0900 (0.0983) loss_contra: 0.0001 (0.0052) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [19] [2890/5278] eta: 1:40:54 lr: 2.733902891396681e-05 loss: 0.0541 (0.0645) loss_seg: 0.0582 (0.0693) loss_lansim: 0.0906 (0.0983) loss_contra: 0.0001 (0.0052) time: 2.5452 data: 0.0025 max mem: 31671 Epoch: [19] [2900/5278] eta: 1:40:28 lr: 2.733674953241892e-05 loss: 0.0545 (0.0645) loss_seg: 0.0591 (0.0693) loss_lansim: 0.0908 (0.0982) loss_contra: 0.0001 (0.0051) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [19] [2910/5278] eta: 1:40:02 lr: 2.7334470129753232e-05 loss: 0.0541 (0.0645) loss_seg: 0.0591 (0.0693) loss_lansim: 0.0922 (0.0982) loss_contra: 0.0001 (0.0051) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [19] [2920/5278] eta: 1:39:37 lr: 2.733219070596758e-05 loss: 0.0599 (0.0647) loss_seg: 0.0614 (0.0695) loss_lansim: 0.0922 (0.0983) loss_contra: 0.0001 (0.0051) time: 2.5239 data: 0.0026 max mem: 31671 Epoch: [19] [2930/5278] eta: 1:39:11 lr: 2.7329911261059838e-05 loss: 0.0576 (0.0647) loss_seg: 0.0597 (0.0695) loss_lansim: 0.0918 (0.0982) loss_contra: 0.0001 (0.0051) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [19] [2940/5278] eta: 1:38:46 lr: 2.7327631795027825e-05 loss: 0.0572 (0.0647) loss_seg: 0.0597 (0.0695) loss_lansim: 0.0927 (0.0982) loss_contra: 0.0001 (0.0051) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [19] [2950/5278] eta: 1:38:21 lr: 2.73253523078694e-05 loss: 0.0572 (0.0646) loss_seg: 0.0597 (0.0694) loss_lansim: 0.0927 (0.0982) loss_contra: 0.0001 (0.0051) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [19] [2960/5278] eta: 1:37:55 lr: 2.7323072799582415e-05 loss: 0.0541 (0.0646) loss_seg: 0.0591 (0.0694) loss_lansim: 0.0930 (0.0982) loss_contra: 0.0001 (0.0051) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [19] [2970/5278] eta: 1:37:30 lr: 2.7320793270164708e-05 loss: 0.0513 (0.0647) loss_seg: 0.0559 (0.0695) loss_lansim: 0.0932 (0.0982) loss_contra: 0.0001 (0.0051) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [19] [2980/5278] eta: 1:37:04 lr: 2.7318513719614118e-05 loss: 0.0531 (0.0647) loss_seg: 0.0572 (0.0695) loss_lansim: 0.0934 (0.0982) loss_contra: 0.0001 (0.0050) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [19] [2990/5278] eta: 1:36:39 lr: 2.7316234147928498e-05 loss: 0.0572 (0.0647) loss_seg: 0.0619 (0.0695) loss_lansim: 0.0931 (0.0982) loss_contra: 0.0001 (0.0050) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [19] [3000/5278] eta: 1:36:12 lr: 2.7313954555105685e-05 loss: 0.0559 (0.0647) loss_seg: 0.0600 (0.0695) loss_lansim: 0.0932 (0.0982) loss_contra: 0.0001 (0.0050) time: 2.5128 data: 0.0025 max mem: 31671 Epoch: [19] [3010/5278] eta: 1:35:47 lr: 2.7311674941143546e-05 loss: 0.0561 (0.0647) loss_seg: 0.0615 (0.0695) loss_lansim: 0.0932 (0.0981) loss_contra: 0.0001 (0.0050) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [19] [3020/5278] eta: 1:35:22 lr: 2.730939530603989e-05 loss: 0.0551 (0.0647) loss_seg: 0.0600 (0.0695) loss_lansim: 0.0930 (0.0981) loss_contra: 0.0001 (0.0050) time: 2.5133 data: 0.0025 max mem: 31671 Epoch: [19] [3030/5278] eta: 1:34:57 lr: 2.730711564979258e-05 loss: 0.0543 (0.0647) loss_seg: 0.0587 (0.0695) loss_lansim: 0.0928 (0.0981) loss_contra: 0.0001 (0.0051) time: 2.5234 data: 0.0025 max mem: 31671 Epoch: [19] [3040/5278] eta: 1:34:32 lr: 2.730483597239946e-05 loss: 0.0528 (0.0647) loss_seg: 0.0574 (0.0695) loss_lansim: 0.0902 (0.0981) loss_contra: 0.0001 (0.0050) time: 2.5248 data: 0.0026 max mem: 31671 Epoch: [19] [3050/5278] eta: 1:34:07 lr: 2.730255627385836e-05 loss: 0.0532 (0.0647) loss_seg: 0.0581 (0.0695) loss_lansim: 0.0913 (0.0981) loss_contra: 0.0001 (0.0050) time: 2.5258 data: 0.0026 max mem: 31671 Epoch: [19] [3060/5278] eta: 1:33:41 lr: 2.7300276554167143e-05 loss: 0.0551 (0.0647) loss_seg: 0.0608 (0.0696) loss_lansim: 0.0900 (0.0981) loss_contra: 0.0001 (0.0050) time: 2.5225 data: 0.0026 max mem: 31671 Epoch: [19] [3070/5278] eta: 1:33:16 lr: 2.729799681332363e-05 loss: 0.0555 (0.0648) loss_seg: 0.0609 (0.0696) loss_lansim: 0.0889 (0.0980) loss_contra: 0.0001 (0.0050) time: 2.5221 data: 0.0026 max mem: 31671 Epoch: [19] [3080/5278] eta: 1:32:51 lr: 2.7295717051325663e-05 loss: 0.0555 (0.0648) loss_seg: 0.0613 (0.0697) loss_lansim: 0.0887 (0.0980) loss_contra: 0.0001 (0.0050) time: 2.5381 data: 0.0026 max mem: 31671 Epoch: [19] [3090/5278] eta: 1:32:26 lr: 2.7293437268171095e-05 loss: 0.0563 (0.0649) loss_seg: 0.0613 (0.0698) loss_lansim: 0.0887 (0.0980) loss_contra: 0.0001 (0.0050) time: 2.5392 data: 0.0026 max mem: 31671 Epoch: [19] [3100/5278] eta: 1:32:00 lr: 2.729115746385776e-05 loss: 0.0568 (0.0649) loss_seg: 0.0623 (0.0698) loss_lansim: 0.0885 (0.0979) loss_contra: 0.0001 (0.0050) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [19] [3110/5278] eta: 1:31:35 lr: 2.7288877638383493e-05 loss: 0.0581 (0.0649) loss_seg: 0.0633 (0.0698) loss_lansim: 0.0885 (0.0979) loss_contra: 0.0001 (0.0050) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [19] [3120/5278] eta: 1:31:10 lr: 2.7286597791746137e-05 loss: 0.0589 (0.0649) loss_seg: 0.0645 (0.0697) loss_lansim: 0.0885 (0.0979) loss_contra: 0.0001 (0.0050) time: 2.5589 data: 0.0025 max mem: 31671 Epoch: [19] [3130/5278] eta: 1:30:45 lr: 2.728431792394353e-05 loss: 0.0598 (0.0649) loss_seg: 0.0652 (0.0697) loss_lansim: 0.0885 (0.0979) loss_contra: 0.0001 (0.0050) time: 2.5575 data: 0.0025 max mem: 31671 Epoch: [19] [3140/5278] eta: 1:30:19 lr: 2.7282038034973517e-05 loss: 0.0616 (0.0649) loss_seg: 0.0667 (0.0697) loss_lansim: 0.0884 (0.0979) loss_contra: 0.0001 (0.0049) time: 2.5503 data: 0.0025 max mem: 31671 Epoch: [19] [3150/5278] eta: 1:29:54 lr: 2.7279758124833928e-05 loss: 0.0598 (0.0648) loss_seg: 0.0652 (0.0697) loss_lansim: 0.0884 (0.0979) loss_contra: 0.0001 (0.0050) time: 2.5481 data: 0.0025 max mem: 31671 Epoch: [19] [3160/5278] eta: 1:29:28 lr: 2.7277478193522597e-05 loss: 0.0591 (0.0648) loss_seg: 0.0649 (0.0697) loss_lansim: 0.0886 (0.0979) loss_contra: 0.0001 (0.0050) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [19] [3170/5278] eta: 1:29:03 lr: 2.727519824103738e-05 loss: 0.0588 (0.0648) loss_seg: 0.0645 (0.0696) loss_lansim: 0.0891 (0.0978) loss_contra: 0.0001 (0.0049) time: 2.5462 data: 0.0024 max mem: 31671 Epoch: [19] [3180/5278] eta: 1:28:37 lr: 2.727291826737609e-05 loss: 0.0585 (0.0648) loss_seg: 0.0625 (0.0696) loss_lansim: 0.0891 (0.0978) loss_contra: 0.0001 (0.0049) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [19] [3190/5278] eta: 1:28:12 lr: 2.727063827253658e-05 loss: 0.0529 (0.0648) loss_seg: 0.0581 (0.0696) loss_lansim: 0.0906 (0.0978) loss_contra: 0.0001 (0.0049) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [19] [3200/5278] eta: 1:27:48 lr: 2.726835825651668e-05 loss: 0.0528 (0.0647) loss_seg: 0.0580 (0.0696) loss_lansim: 0.0909 (0.0978) loss_contra: 0.0001 (0.0051) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [19] [3210/5278] eta: 1:27:22 lr: 2.7266078219314217e-05 loss: 0.0506 (0.0647) loss_seg: 0.0540 (0.0695) loss_lansim: 0.0912 (0.0978) loss_contra: 0.0001 (0.0052) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [19] [3220/5278] eta: 1:26:57 lr: 2.7263798160927047e-05 loss: 0.0516 (0.0648) loss_seg: 0.0550 (0.0696) loss_lansim: 0.0912 (0.0978) loss_contra: 0.0001 (0.0052) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [19] [3230/5278] eta: 1:26:32 lr: 2.7261518081352984e-05 loss: 0.0528 (0.0648) loss_seg: 0.0556 (0.0696) loss_lansim: 0.0918 (0.0978) loss_contra: 0.0002 (0.0051) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [19] [3240/5278] eta: 1:26:06 lr: 2.7259237980589873e-05 loss: 0.0528 (0.0648) loss_seg: 0.0556 (0.0696) loss_lansim: 0.0912 (0.0978) loss_contra: 0.0001 (0.0051) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [19] [3250/5278] eta: 1:25:41 lr: 2.7256957858635553e-05 loss: 0.0528 (0.0647) loss_seg: 0.0556 (0.0696) loss_lansim: 0.0901 (0.0977) loss_contra: 0.0001 (0.0051) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [19] [3260/5278] eta: 1:25:16 lr: 2.725467771548783e-05 loss: 0.0512 (0.0647) loss_seg: 0.0539 (0.0695) loss_lansim: 0.0901 (0.0977) loss_contra: 0.0001 (0.0051) time: 2.5483 data: 0.0025 max mem: 31671 Epoch: [19] [3270/5278] eta: 1:24:50 lr: 2.725239755114457e-05 loss: 0.0518 (0.0647) loss_seg: 0.0540 (0.0695) loss_lansim: 0.0920 (0.0978) loss_contra: 0.0001 (0.0051) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [19] [3280/5278] eta: 1:24:26 lr: 2.725011736560359e-05 loss: 0.0528 (0.0647) loss_seg: 0.0556 (0.0695) loss_lansim: 0.0920 (0.0977) loss_contra: 0.0001 (0.0052) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [19] [3290/5278] eta: 1:24:00 lr: 2.724783715886272e-05 loss: 0.0562 (0.0648) loss_seg: 0.0610 (0.0696) loss_lansim: 0.0922 (0.0977) loss_contra: 0.0001 (0.0052) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [19] [3300/5278] eta: 1:23:36 lr: 2.724555693091981e-05 loss: 0.0562 (0.0647) loss_seg: 0.0609 (0.0695) loss_lansim: 0.0922 (0.0977) loss_contra: 0.0001 (0.0052) time: 2.5713 data: 0.0025 max mem: 31671 Epoch: [19] [3310/5278] eta: 1:23:11 lr: 2.724327668177266e-05 loss: 0.0566 (0.0647) loss_seg: 0.0610 (0.0696) loss_lansim: 0.0918 (0.0977) loss_contra: 0.0000 (0.0052) time: 2.5762 data: 0.0026 max mem: 31671 Epoch: [19] [3320/5278] eta: 1:22:47 lr: 2.7240996411419123e-05 loss: 0.0587 (0.0648) loss_seg: 0.0618 (0.0696) loss_lansim: 0.0922 (0.0977) loss_contra: 0.0000 (0.0051) time: 2.5868 data: 0.0026 max mem: 31671 Epoch: [19] [3330/5278] eta: 1:22:21 lr: 2.7238716119857027e-05 loss: 0.0532 (0.0648) loss_seg: 0.0582 (0.0696) loss_lansim: 0.0920 (0.0977) loss_contra: 0.0000 (0.0051) time: 2.5884 data: 0.0026 max mem: 31671 Epoch: [19] [3340/5278] eta: 1:21:57 lr: 2.723643580708419e-05 loss: 0.0562 (0.0648) loss_seg: 0.0592 (0.0696) loss_lansim: 0.0927 (0.0977) loss_contra: 0.0000 (0.0051) time: 2.6008 data: 0.0026 max mem: 31671 Epoch: [19] [3350/5278] eta: 1:21:32 lr: 2.723415547309846e-05 loss: 0.0570 (0.0647) loss_seg: 0.0592 (0.0696) loss_lansim: 0.0946 (0.0977) loss_contra: 0.0000 (0.0051) time: 2.6105 data: 0.0026 max mem: 31671 Epoch: [19] [3360/5278] eta: 1:21:07 lr: 2.7231875117897653e-05 loss: 0.0562 (0.0647) loss_seg: 0.0591 (0.0695) loss_lansim: 0.0928 (0.0977) loss_contra: 0.0000 (0.0051) time: 2.6229 data: 0.0027 max mem: 31671 Epoch: [19] [3370/5278] eta: 1:20:42 lr: 2.7229594741479602e-05 loss: 0.0561 (0.0647) loss_seg: 0.0591 (0.0695) loss_lansim: 0.0918 (0.0977) loss_contra: 0.0000 (0.0052) time: 2.6332 data: 0.0027 max mem: 31671 Epoch: [19] [3380/5278] eta: 1:20:17 lr: 2.7227314343842136e-05 loss: 0.0554 (0.0647) loss_seg: 0.0584 (0.0696) loss_lansim: 0.0929 (0.0976) loss_contra: 0.0000 (0.0052) time: 2.6211 data: 0.0027 max mem: 31671 Epoch: [19] [3390/5278] eta: 1:19:51 lr: 2.722503392498308e-05 loss: 0.0529 (0.0648) loss_seg: 0.0568 (0.0696) loss_lansim: 0.0928 (0.0976) loss_contra: 0.0000 (0.0051) time: 2.6182 data: 0.0026 max mem: 31671 Epoch: [19] [3400/5278] eta: 1:19:27 lr: 2.7222753484900265e-05 loss: 0.0523 (0.0647) loss_seg: 0.0552 (0.0696) loss_lansim: 0.0918 (0.0976) loss_contra: 0.0001 (0.0051) time: 2.6087 data: 0.0026 max mem: 31671 Epoch: [19] [3410/5278] eta: 1:19:01 lr: 2.7220473023591515e-05 loss: 0.0529 (0.0647) loss_seg: 0.0568 (0.0695) loss_lansim: 0.0918 (0.0976) loss_contra: 0.0001 (0.0051) time: 2.6016 data: 0.0025 max mem: 31671 Epoch: [19] [3420/5278] eta: 1:18:36 lr: 2.721819254105465e-05 loss: 0.0524 (0.0648) loss_seg: 0.0566 (0.0696) loss_lansim: 0.0910 (0.0975) loss_contra: 0.0001 (0.0051) time: 2.5915 data: 0.0025 max mem: 31671 Epoch: [19] [3430/5278] eta: 1:18:11 lr: 2.721591203728751e-05 loss: 0.0554 (0.0648) loss_seg: 0.0582 (0.0696) loss_lansim: 0.0905 (0.0975) loss_contra: 0.0001 (0.0051) time: 2.5911 data: 0.0025 max mem: 31671 Epoch: [19] [3440/5278] eta: 1:17:45 lr: 2.7213631512287913e-05 loss: 0.0554 (0.0649) loss_seg: 0.0582 (0.0697) loss_lansim: 0.0906 (0.0975) loss_contra: 0.0001 (0.0051) time: 2.5801 data: 0.0025 max mem: 31671 Epoch: [19] [3450/5278] eta: 1:17:20 lr: 2.7211350966053685e-05 loss: 0.0572 (0.0649) loss_seg: 0.0609 (0.0698) loss_lansim: 0.0894 (0.0975) loss_contra: 0.0001 (0.0052) time: 2.5660 data: 0.0025 max mem: 31671 Epoch: [19] [3460/5278] eta: 1:16:55 lr: 2.7209070398582654e-05 loss: 0.0584 (0.0649) loss_seg: 0.0625 (0.0698) loss_lansim: 0.0898 (0.0974) loss_contra: 0.0001 (0.0052) time: 2.5621 data: 0.0025 max mem: 31671 Epoch: [19] [3470/5278] eta: 1:16:29 lr: 2.720678980987264e-05 loss: 0.0589 (0.0650) loss_seg: 0.0636 (0.0698) loss_lansim: 0.0894 (0.0974) loss_contra: 0.0001 (0.0053) time: 2.5533 data: 0.0025 max mem: 31671 Epoch: [19] [3480/5278] eta: 1:16:04 lr: 2.7204509199921468e-05 loss: 0.0592 (0.0650) loss_seg: 0.0639 (0.0698) loss_lansim: 0.0894 (0.0974) loss_contra: 0.0001 (0.0053) time: 2.5596 data: 0.0025 max mem: 31671 Epoch: [19] [3490/5278] eta: 1:15:39 lr: 2.7202228568726962e-05 loss: 0.0615 (0.0650) loss_seg: 0.0666 (0.0698) loss_lansim: 0.0894 (0.0974) loss_contra: 0.0001 (0.0052) time: 2.5615 data: 0.0025 max mem: 31671 Epoch: [19] [3500/5278] eta: 1:15:14 lr: 2.7199947916286943e-05 loss: 0.0640 (0.0650) loss_seg: 0.0693 (0.0699) loss_lansim: 0.0887 (0.0974) loss_contra: 0.0001 (0.0052) time: 2.5594 data: 0.0024 max mem: 31671 Epoch: [19] [3510/5278] eta: 1:14:48 lr: 2.7197667242599244e-05 loss: 0.0645 (0.0650) loss_seg: 0.0693 (0.0698) loss_lansim: 0.0890 (0.0973) loss_contra: 0.0001 (0.0053) time: 2.5543 data: 0.0024 max mem: 31671 Epoch: [19] [3520/5278] eta: 1:14:22 lr: 2.7195386547661673e-05 loss: 0.0645 (0.0650) loss_seg: 0.0693 (0.0699) loss_lansim: 0.0894 (0.0973) loss_contra: 0.0001 (0.0053) time: 2.5463 data: 0.0024 max mem: 31671 Epoch: [19] [3530/5278] eta: 1:13:57 lr: 2.719310583147206e-05 loss: 0.0624 (0.0650) loss_seg: 0.0689 (0.0698) loss_lansim: 0.0894 (0.0973) loss_contra: 0.0001 (0.0052) time: 2.5476 data: 0.0024 max mem: 31671 Epoch: [19] [3540/5278] eta: 1:13:32 lr: 2.719082509402823e-05 loss: 0.0595 (0.0649) loss_seg: 0.0645 (0.0698) loss_lansim: 0.0875 (0.0973) loss_contra: 0.0001 (0.0052) time: 2.5501 data: 0.0024 max mem: 31671 Epoch: [19] [3550/5278] eta: 1:13:07 lr: 2.718854433532798e-05 loss: 0.0584 (0.0649) loss_seg: 0.0627 (0.0698) loss_lansim: 0.0877 (0.0973) loss_contra: 0.0001 (0.0052) time: 2.5663 data: 0.0024 max mem: 31671 Epoch: [19] [3560/5278] eta: 1:12:42 lr: 2.718626355536917e-05 loss: 0.0569 (0.0649) loss_seg: 0.0616 (0.0697) loss_lansim: 0.0881 (0.0973) loss_contra: 0.0001 (0.0052) time: 2.5635 data: 0.0024 max mem: 31671 Epoch: [19] [3570/5278] eta: 1:12:17 lr: 2.718398275414959e-05 loss: 0.0569 (0.0649) loss_seg: 0.0616 (0.0697) loss_lansim: 0.0881 (0.0972) loss_contra: 0.0001 (0.0052) time: 2.5682 data: 0.0024 max mem: 31671 Epoch: [19] [3580/5278] eta: 1:11:51 lr: 2.7181701931667074e-05 loss: 0.0554 (0.0649) loss_seg: 0.0609 (0.0697) loss_lansim: 0.0893 (0.0972) loss_contra: 0.0001 (0.0052) time: 2.5655 data: 0.0025 max mem: 31671 Epoch: [19] [3590/5278] eta: 1:11:27 lr: 2.7179421087919438e-05 loss: 0.0553 (0.0649) loss_seg: 0.0607 (0.0697) loss_lansim: 0.0893 (0.0972) loss_contra: 0.0001 (0.0052) time: 2.5767 data: 0.0025 max mem: 31671 Epoch: [19] [3600/5278] eta: 1:11:02 lr: 2.7177140222904496e-05 loss: 0.0499 (0.0649) loss_seg: 0.0548 (0.0697) loss_lansim: 0.0893 (0.0972) loss_contra: 0.0001 (0.0053) time: 2.5771 data: 0.0025 max mem: 31671 Epoch: [19] [3610/5278] eta: 1:10:37 lr: 2.717485933662007e-05 loss: 0.0492 (0.0649) loss_seg: 0.0531 (0.0697) loss_lansim: 0.0904 (0.0972) loss_contra: 0.0001 (0.0053) time: 2.5946 data: 0.0026 max mem: 31671 Epoch: [19] [3620/5278] eta: 1:10:12 lr: 2.7172578429063978e-05 loss: 0.0467 (0.0648) loss_seg: 0.0514 (0.0697) loss_lansim: 0.0891 (0.0972) loss_contra: 0.0001 (0.0053) time: 2.6069 data: 0.0026 max mem: 31671 Epoch: [19] [3630/5278] eta: 1:09:46 lr: 2.717029750023403e-05 loss: 0.0526 (0.0649) loss_seg: 0.0576 (0.0698) loss_lansim: 0.0904 (0.0972) loss_contra: 0.0001 (0.0052) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [19] [3640/5278] eta: 1:09:21 lr: 2.7168016550128067e-05 loss: 0.0535 (0.0649) loss_seg: 0.0585 (0.0698) loss_lansim: 0.0904 (0.0971) loss_contra: 0.0001 (0.0053) time: 2.5979 data: 0.0026 max mem: 31671 Epoch: [19] [3650/5278] eta: 1:08:55 lr: 2.716573557874388e-05 loss: 0.0526 (0.0649) loss_seg: 0.0581 (0.0697) loss_lansim: 0.0904 (0.0971) loss_contra: 0.0001 (0.0053) time: 2.5772 data: 0.0025 max mem: 31671 Epoch: [19] [3660/5278] eta: 1:08:30 lr: 2.7163454586079297e-05 loss: 0.0519 (0.0649) loss_seg: 0.0556 (0.0697) loss_lansim: 0.0904 (0.0971) loss_contra: 0.0001 (0.0053) time: 2.5816 data: 0.0025 max mem: 31671 Epoch: [19] [3670/5278] eta: 1:08:04 lr: 2.716117357213213e-05 loss: 0.0514 (0.0650) loss_seg: 0.0564 (0.0698) loss_lansim: 0.0904 (0.0971) loss_contra: 0.0001 (0.0053) time: 2.5728 data: 0.0025 max mem: 31671 Epoch: [19] [3680/5278] eta: 1:07:39 lr: 2.71588925369002e-05 loss: 0.0530 (0.0650) loss_seg: 0.0571 (0.0698) loss_lansim: 0.0899 (0.0971) loss_contra: 0.0001 (0.0053) time: 2.5759 data: 0.0025 max mem: 31671 Epoch: [19] [3690/5278] eta: 1:07:14 lr: 2.7156611480381313e-05 loss: 0.0535 (0.0650) loss_seg: 0.0585 (0.0698) loss_lansim: 0.0898 (0.0971) loss_contra: 0.0001 (0.0053) time: 2.5604 data: 0.0025 max mem: 31671 Epoch: [19] [3700/5278] eta: 1:06:48 lr: 2.7154330402573297e-05 loss: 0.0559 (0.0650) loss_seg: 0.0589 (0.0698) loss_lansim: 0.0902 (0.0971) loss_contra: 0.0001 (0.0053) time: 2.5549 data: 0.0025 max mem: 31671 Epoch: [19] [3710/5278] eta: 1:06:23 lr: 2.715204930347395e-05 loss: 0.0571 (0.0650) loss_seg: 0.0620 (0.0698) loss_lansim: 0.0906 (0.0971) loss_contra: 0.0001 (0.0053) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [19] [3720/5278] eta: 1:05:57 lr: 2.7149768183081097e-05 loss: 0.0571 (0.0650) loss_seg: 0.0625 (0.0698) loss_lansim: 0.0919 (0.0970) loss_contra: 0.0001 (0.0053) time: 2.5283 data: 0.0024 max mem: 31671 Epoch: [19] [3730/5278] eta: 1:05:32 lr: 2.7147487041392543e-05 loss: 0.0559 (0.0650) loss_seg: 0.0612 (0.0698) loss_lansim: 0.0905 (0.0970) loss_contra: 0.0001 (0.0053) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [19] [3740/5278] eta: 1:05:06 lr: 2.7145205878406115e-05 loss: 0.0555 (0.0649) loss_seg: 0.0580 (0.0698) loss_lansim: 0.0913 (0.0970) loss_contra: 0.0001 (0.0053) time: 2.5340 data: 0.0024 max mem: 31671 Epoch: [19] [3750/5278] eta: 1:04:41 lr: 2.7142924694119614e-05 loss: 0.0530 (0.0649) loss_seg: 0.0580 (0.0697) loss_lansim: 0.0918 (0.0970) loss_contra: 0.0001 (0.0053) time: 2.5514 data: 0.0024 max mem: 31671 Epoch: [19] [3760/5278] eta: 1:04:16 lr: 2.7140643488530847e-05 loss: 0.0530 (0.0649) loss_seg: 0.0580 (0.0697) loss_lansim: 0.0908 (0.0970) loss_contra: 0.0001 (0.0053) time: 2.5539 data: 0.0024 max mem: 31671 Epoch: [19] [3770/5278] eta: 1:03:51 lr: 2.7138362261637646e-05 loss: 0.0527 (0.0649) loss_seg: 0.0570 (0.0697) loss_lansim: 0.0913 (0.0970) loss_contra: 0.0001 (0.0053) time: 2.5587 data: 0.0024 max mem: 31671 Epoch: [19] [3780/5278] eta: 1:03:26 lr: 2.7136081013437802e-05 loss: 0.0514 (0.0649) loss_seg: 0.0562 (0.0697) loss_lansim: 0.0918 (0.0969) loss_contra: 0.0001 (0.0053) time: 2.5624 data: 0.0024 max mem: 31671 Epoch: [19] [3790/5278] eta: 1:03:01 lr: 2.7133799743929134e-05 loss: 0.0508 (0.0649) loss_seg: 0.0552 (0.0697) loss_lansim: 0.0912 (0.0969) loss_contra: 0.0001 (0.0052) time: 2.5737 data: 0.0025 max mem: 31671 Epoch: [19] [3800/5278] eta: 1:02:36 lr: 2.7131518453109455e-05 loss: 0.0508 (0.0649) loss_seg: 0.0555 (0.0697) loss_lansim: 0.0906 (0.0969) loss_contra: 0.0001 (0.0053) time: 2.5880 data: 0.0025 max mem: 31671 Epoch: [19] [3810/5278] eta: 1:02:11 lr: 2.7129237140976564e-05 loss: 0.0502 (0.0649) loss_seg: 0.0551 (0.0697) loss_lansim: 0.0905 (0.0969) loss_contra: 0.0001 (0.0052) time: 2.5989 data: 0.0025 max mem: 31671 Epoch: [19] [3820/5278] eta: 1:01:45 lr: 2.7126955807528283e-05 loss: 0.0501 (0.0649) loss_seg: 0.0542 (0.0697) loss_lansim: 0.0889 (0.0969) loss_contra: 0.0001 (0.0052) time: 2.6032 data: 0.0025 max mem: 31671 Epoch: [19] [3830/5278] eta: 1:01:20 lr: 2.7124674452762417e-05 loss: 0.0502 (0.0649) loss_seg: 0.0547 (0.0697) loss_lansim: 0.0894 (0.0968) loss_contra: 0.0001 (0.0052) time: 2.6057 data: 0.0025 max mem: 31671 Epoch: [19] [3840/5278] eta: 1:00:55 lr: 2.7122393076676767e-05 loss: 0.0508 (0.0649) loss_seg: 0.0555 (0.0697) loss_lansim: 0.0882 (0.0968) loss_contra: 0.0001 (0.0052) time: 2.6085 data: 0.0025 max mem: 31671 Epoch: [19] [3850/5278] eta: 1:00:30 lr: 2.7120111679269156e-05 loss: 0.0515 (0.0649) loss_seg: 0.0555 (0.0698) loss_lansim: 0.0868 (0.0968) loss_contra: 0.0000 (0.0052) time: 2.6072 data: 0.0025 max mem: 31671 Epoch: [19] [3860/5278] eta: 1:00:04 lr: 2.711783026053738e-05 loss: 0.0543 (0.0649) loss_seg: 0.0562 (0.0697) loss_lansim: 0.0868 (0.0968) loss_contra: 0.0000 (0.0052) time: 2.6004 data: 0.0025 max mem: 31671 Epoch: [19] [3870/5278] eta: 0:59:39 lr: 2.7115548820479246e-05 loss: 0.0562 (0.0649) loss_seg: 0.0600 (0.0698) loss_lansim: 0.0864 (0.0967) loss_contra: 0.0000 (0.0052) time: 2.6046 data: 0.0025 max mem: 31671 Epoch: [19] [3880/5278] eta: 0:59:14 lr: 2.711326735909257e-05 loss: 0.0565 (0.0649) loss_seg: 0.0612 (0.0697) loss_lansim: 0.0868 (0.0967) loss_contra: 0.0000 (0.0052) time: 2.6087 data: 0.0026 max mem: 31671 Epoch: [19] [3890/5278] eta: 0:58:49 lr: 2.711098587637515e-05 loss: 0.0565 (0.0649) loss_seg: 0.0612 (0.0698) loss_lansim: 0.0894 (0.0967) loss_contra: 0.0001 (0.0052) time: 2.6062 data: 0.0026 max mem: 31671 Epoch: [19] [3900/5278] eta: 0:58:24 lr: 2.71087043723248e-05 loss: 0.0578 (0.0650) loss_seg: 0.0612 (0.0699) loss_lansim: 0.0896 (0.0967) loss_contra: 0.0000 (0.0052) time: 2.6009 data: 0.0025 max mem: 31671 Epoch: [19] [3910/5278] eta: 0:57:59 lr: 2.710642284693932e-05 loss: 0.0600 (0.0650) loss_seg: 0.0639 (0.0699) loss_lansim: 0.0885 (0.0967) loss_contra: 0.0001 (0.0052) time: 2.6123 data: 0.0025 max mem: 31671 Epoch: [19] [3920/5278] eta: 0:57:34 lr: 2.7104141300216506e-05 loss: 0.0609 (0.0650) loss_seg: 0.0669 (0.0699) loss_lansim: 0.0889 (0.0967) loss_contra: 0.0000 (0.0052) time: 2.6153 data: 0.0025 max mem: 31671 Epoch: [19] [3930/5278] eta: 0:57:09 lr: 2.7101859732154182e-05 loss: 0.0609 (0.0651) loss_seg: 0.0669 (0.0699) loss_lansim: 0.0895 (0.0967) loss_contra: 0.0001 (0.0051) time: 2.6244 data: 0.0025 max mem: 31671 Epoch: [19] [3940/5278] eta: 0:56:44 lr: 2.7099578142750138e-05 loss: 0.0604 (0.0651) loss_seg: 0.0642 (0.0700) loss_lansim: 0.0895 (0.0966) loss_contra: 0.0001 (0.0051) time: 2.6342 data: 0.0026 max mem: 31671 Epoch: [19] [3950/5278] eta: 0:56:19 lr: 2.7097296532002188e-05 loss: 0.0600 (0.0651) loss_seg: 0.0624 (0.0700) loss_lansim: 0.0901 (0.0966) loss_contra: 0.0001 (0.0051) time: 2.6364 data: 0.0026 max mem: 31671 Epoch: [19] [3960/5278] eta: 0:55:53 lr: 2.7095014899908127e-05 loss: 0.0600 (0.0651) loss_seg: 0.0615 (0.0700) loss_lansim: 0.0901 (0.0966) loss_contra: 0.0001 (0.0051) time: 2.6348 data: 0.0026 max mem: 31671 Epoch: [19] [3970/5278] eta: 0:55:28 lr: 2.7092733246465757e-05 loss: 0.0575 (0.0651) loss_seg: 0.0601 (0.0699) loss_lansim: 0.0899 (0.0966) loss_contra: 0.0001 (0.0051) time: 2.6371 data: 0.0026 max mem: 31671 Epoch: [19] [3980/5278] eta: 0:55:03 lr: 2.7090451571672894e-05 loss: 0.0596 (0.0651) loss_seg: 0.0608 (0.0699) loss_lansim: 0.0905 (0.0966) loss_contra: 0.0001 (0.0051) time: 2.6322 data: 0.0026 max mem: 31671 Epoch: [19] [3990/5278] eta: 0:54:38 lr: 2.7088169875527326e-05 loss: 0.0590 (0.0651) loss_seg: 0.0607 (0.0700) loss_lansim: 0.0895 (0.0966) loss_contra: 0.0001 (0.0051) time: 2.6329 data: 0.0026 max mem: 31671 Epoch: [19] [4000/5278] eta: 0:54:12 lr: 2.7085888158026856e-05 loss: 0.0590 (0.0652) loss_seg: 0.0607 (0.0700) loss_lansim: 0.0895 (0.0966) loss_contra: 0.0001 (0.0051) time: 2.6303 data: 0.0026 max mem: 31671 Epoch: [19] [4010/5278] eta: 0:53:47 lr: 2.70836064191693e-05 loss: 0.0575 (0.0652) loss_seg: 0.0593 (0.0700) loss_lansim: 0.0900 (0.0966) loss_contra: 0.0001 (0.0052) time: 2.6254 data: 0.0026 max mem: 31671 Epoch: [19] [4020/5278] eta: 0:53:23 lr: 2.7081324658952432e-05 loss: 0.0616 (0.0652) loss_seg: 0.0627 (0.0701) loss_lansim: 0.0905 (0.0965) loss_contra: 0.0001 (0.0052) time: 2.6502 data: 0.0026 max mem: 31671 Epoch: [19] [4030/5278] eta: 0:52:58 lr: 2.707904287737408e-05 loss: 0.0616 (0.0652) loss_seg: 0.0633 (0.0701) loss_lansim: 0.0907 (0.0965) loss_contra: 0.0001 (0.0052) time: 2.6525 data: 0.0026 max mem: 31671 Epoch: [19] [4040/5278] eta: 0:52:33 lr: 2.7076761074432032e-05 loss: 0.0611 (0.0652) loss_seg: 0.0630 (0.0701) loss_lansim: 0.0928 (0.0965) loss_contra: 0.0001 (0.0052) time: 2.6469 data: 0.0026 max mem: 31671 Epoch: [19] [4050/5278] eta: 0:52:08 lr: 2.7074479250124078e-05 loss: 0.0611 (0.0652) loss_seg: 0.0670 (0.0701) loss_lansim: 0.0917 (0.0965) loss_contra: 0.0001 (0.0052) time: 2.6571 data: 0.0026 max mem: 31671 Epoch: [19] [4060/5278] eta: 0:51:43 lr: 2.7072197404448034e-05 loss: 0.0575 (0.0652) loss_seg: 0.0630 (0.0701) loss_lansim: 0.0931 (0.0965) loss_contra: 0.0001 (0.0051) time: 2.6712 data: 0.0026 max mem: 31671 Epoch: [19] [4070/5278] eta: 0:51:17 lr: 2.706991553740169e-05 loss: 0.0616 (0.0652) loss_seg: 0.0670 (0.0701) loss_lansim: 0.0940 (0.0965) loss_contra: 0.0001 (0.0051) time: 2.6655 data: 0.0026 max mem: 31671 Epoch: [19] [4080/5278] eta: 0:50:52 lr: 2.706763364898285e-05 loss: 0.0589 (0.0653) loss_seg: 0.0636 (0.0702) loss_lansim: 0.0920 (0.0965) loss_contra: 0.0001 (0.0051) time: 2.6618 data: 0.0026 max mem: 31671 Epoch: [19] [4090/5278] eta: 0:50:26 lr: 2.7065351739189305e-05 loss: 0.0607 (0.0654) loss_seg: 0.0651 (0.0702) loss_lansim: 0.0931 (0.0965) loss_contra: 0.0001 (0.0051) time: 2.6511 data: 0.0026 max mem: 31671 Epoch: [19] [4100/5278] eta: 0:50:01 lr: 2.7063069808018854e-05 loss: 0.0582 (0.0653) loss_seg: 0.0636 (0.0702) loss_lansim: 0.0920 (0.0965) loss_contra: 0.0001 (0.0051) time: 2.6419 data: 0.0026 max mem: 31671 Epoch: [19] [4110/5278] eta: 0:49:35 lr: 2.7060787855469295e-05 loss: 0.0576 (0.0653) loss_seg: 0.0630 (0.0702) loss_lansim: 0.0925 (0.0965) loss_contra: 0.0001 (0.0051) time: 2.6355 data: 0.0025 max mem: 31671 Epoch: [19] [4120/5278] eta: 0:49:10 lr: 2.7058505881538426e-05 loss: 0.0576 (0.0654) loss_seg: 0.0630 (0.0702) loss_lansim: 0.0931 (0.0965) loss_contra: 0.0001 (0.0051) time: 2.6118 data: 0.0025 max mem: 31671 Epoch: [19] [4130/5278] eta: 0:48:45 lr: 2.7056223886224037e-05 loss: 0.0570 (0.0654) loss_seg: 0.0620 (0.0702) loss_lansim: 0.0920 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.6022 data: 0.0025 max mem: 31671 Epoch: [19] [4140/5278] eta: 0:48:19 lr: 2.705394186952393e-05 loss: 0.0570 (0.0654) loss_seg: 0.0618 (0.0702) loss_lansim: 0.0915 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5919 data: 0.0025 max mem: 31671 Epoch: [19] [4150/5278] eta: 0:47:54 lr: 2.7051659831435898e-05 loss: 0.0570 (0.0654) loss_seg: 0.0618 (0.0702) loss_lansim: 0.0920 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5775 data: 0.0025 max mem: 31671 Epoch: [19] [4160/5278] eta: 0:47:28 lr: 2.704937777195774e-05 loss: 0.0576 (0.0654) loss_seg: 0.0627 (0.0702) loss_lansim: 0.0920 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [19] [4170/5278] eta: 0:47:03 lr: 2.7047095691087243e-05 loss: 0.0570 (0.0653) loss_seg: 0.0620 (0.0702) loss_lansim: 0.0919 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5679 data: 0.0024 max mem: 31671 Epoch: [19] [4180/5278] eta: 0:46:38 lr: 2.7044813588822205e-05 loss: 0.0570 (0.0653) loss_seg: 0.0620 (0.0702) loss_lansim: 0.0930 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5667 data: 0.0024 max mem: 31671 Epoch: [19] [4190/5278] eta: 0:46:12 lr: 2.704253146516042e-05 loss: 0.0570 (0.0654) loss_seg: 0.0620 (0.0702) loss_lansim: 0.0930 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5713 data: 0.0024 max mem: 31671 Epoch: [19] [4200/5278] eta: 0:45:47 lr: 2.704024932009968e-05 loss: 0.0566 (0.0653) loss_seg: 0.0614 (0.0702) loss_lansim: 0.0922 (0.0964) loss_contra: 0.0001 (0.0050) time: 2.5844 data: 0.0025 max mem: 31671 Epoch: [19] [4210/5278] eta: 0:45:21 lr: 2.703796715363777e-05 loss: 0.0573 (0.0654) loss_seg: 0.0618 (0.0702) loss_lansim: 0.0915 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5791 data: 0.0025 max mem: 31671 Epoch: [19] [4220/5278] eta: 0:44:56 lr: 2.70356849657725e-05 loss: 0.0557 (0.0653) loss_seg: 0.0609 (0.0702) loss_lansim: 0.0915 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5784 data: 0.0025 max mem: 31671 Epoch: [19] [4230/5278] eta: 0:44:31 lr: 2.7033402756501646e-05 loss: 0.0560 (0.0653) loss_seg: 0.0609 (0.0702) loss_lansim: 0.0922 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5893 data: 0.0025 max mem: 31671 Epoch: [19] [4240/5278] eta: 0:44:05 lr: 2.7031120525823004e-05 loss: 0.0570 (0.0653) loss_seg: 0.0601 (0.0702) loss_lansim: 0.0922 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5885 data: 0.0026 max mem: 31671 Epoch: [19] [4250/5278] eta: 0:43:40 lr: 2.7028838273734376e-05 loss: 0.0555 (0.0653) loss_seg: 0.0601 (0.0702) loss_lansim: 0.0913 (0.0964) loss_contra: 0.0001 (0.0051) time: 2.5912 data: 0.0026 max mem: 31671 Epoch: [19] [4260/5278] eta: 0:43:15 lr: 2.7026556000233526e-05 loss: 0.0541 (0.0653) loss_seg: 0.0583 (0.0701) loss_lansim: 0.0909 (0.0963) loss_contra: 0.0001 (0.0051) time: 2.5982 data: 0.0027 max mem: 31671 Epoch: [19] [4270/5278] eta: 0:42:49 lr: 2.702427370531827e-05 loss: 0.0550 (0.0653) loss_seg: 0.0598 (0.0701) loss_lansim: 0.0914 (0.0963) loss_contra: 0.0000 (0.0051) time: 2.6020 data: 0.0027 max mem: 31671 Epoch: [19] [4280/5278] eta: 0:42:24 lr: 2.7021991388986385e-05 loss: 0.0546 (0.0653) loss_seg: 0.0598 (0.0702) loss_lansim: 0.0914 (0.0964) loss_contra: 0.0000 (0.0050) time: 2.6038 data: 0.0027 max mem: 31671 Epoch: [19] [4290/5278] eta: 0:41:59 lr: 2.7019709051235664e-05 loss: 0.0541 (0.0653) loss_seg: 0.0586 (0.0702) loss_lansim: 0.0906 (0.0963) loss_contra: 0.0000 (0.0050) time: 2.6158 data: 0.0026 max mem: 31671 Epoch: [19] [4300/5278] eta: 0:41:33 lr: 2.7017426692063896e-05 loss: 0.0546 (0.0653) loss_seg: 0.0587 (0.0702) loss_lansim: 0.0904 (0.0963) loss_contra: 0.0001 (0.0050) time: 2.6071 data: 0.0026 max mem: 31671 Epoch: [19] [4310/5278] eta: 0:41:08 lr: 2.7015144311468863e-05 loss: 0.0533 (0.0653) loss_seg: 0.0583 (0.0702) loss_lansim: 0.0906 (0.0963) loss_contra: 0.0001 (0.0050) time: 2.6129 data: 0.0026 max mem: 31671 Epoch: [19] [4320/5278] eta: 0:40:43 lr: 2.7012861909448362e-05 loss: 0.0525 (0.0653) loss_seg: 0.0580 (0.0701) loss_lansim: 0.0904 (0.0963) loss_contra: 0.0001 (0.0050) time: 2.6506 data: 0.0026 max mem: 31671 Epoch: [19] [4330/5278] eta: 0:40:18 lr: 2.7010579486000178e-05 loss: 0.0515 (0.0652) loss_seg: 0.0567 (0.0701) loss_lansim: 0.0900 (0.0963) loss_contra: 0.0001 (0.0050) time: 2.6478 data: 0.0026 max mem: 31671 Epoch: [19] [4340/5278] eta: 0:39:53 lr: 2.7008297041122083e-05 loss: 0.0515 (0.0652) loss_seg: 0.0567 (0.0701) loss_lansim: 0.0902 (0.0963) loss_contra: 0.0001 (0.0050) time: 2.6583 data: 0.0026 max mem: 31671 Epoch: [19] [4350/5278] eta: 0:39:28 lr: 2.700601457481189e-05 loss: 0.0516 (0.0653) loss_seg: 0.0570 (0.0701) loss_lansim: 0.0902 (0.0962) loss_contra: 0.0000 (0.0050) time: 2.6674 data: 0.0026 max mem: 31671 Epoch: [19] [4360/5278] eta: 0:39:02 lr: 2.700373208706736e-05 loss: 0.0524 (0.0652) loss_seg: 0.0578 (0.0701) loss_lansim: 0.0885 (0.0962) loss_contra: 0.0000 (0.0050) time: 2.6628 data: 0.0025 max mem: 31671 Epoch: [19] [4370/5278] eta: 0:38:37 lr: 2.7001449577886296e-05 loss: 0.0516 (0.0652) loss_seg: 0.0570 (0.0701) loss_lansim: 0.0876 (0.0962) loss_contra: 0.0001 (0.0050) time: 2.6623 data: 0.0025 max mem: 31671 Epoch: [19] [4380/5278] eta: 0:38:11 lr: 2.6999167047266482e-05 loss: 0.0525 (0.0652) loss_seg: 0.0578 (0.0701) loss_lansim: 0.0873 (0.0962) loss_contra: 0.0001 (0.0050) time: 2.6685 data: 0.0025 max mem: 31671 Epoch: [19] [4390/5278] eta: 0:37:46 lr: 2.6996884495205692e-05 loss: 0.0542 (0.0652) loss_seg: 0.0595 (0.0701) loss_lansim: 0.0873 (0.0962) loss_contra: 0.0000 (0.0050) time: 2.6782 data: 0.0026 max mem: 31671 Epoch: [19] [4400/5278] eta: 0:37:21 lr: 2.6994601921701717e-05 loss: 0.0533 (0.0652) loss_seg: 0.0587 (0.0701) loss_lansim: 0.0872 (0.0961) loss_contra: 0.0000 (0.0050) time: 2.6861 data: 0.0026 max mem: 31671 Epoch: [19] [4410/5278] eta: 0:36:56 lr: 2.6992319326752346e-05 loss: 0.0560 (0.0653) loss_seg: 0.0598 (0.0701) loss_lansim: 0.0861 (0.0961) loss_contra: 0.0000 (0.0050) time: 2.6895 data: 0.0026 max mem: 31671 Epoch: [19] [4420/5278] eta: 0:36:30 lr: 2.6990036710355344e-05 loss: 0.0533 (0.0652) loss_seg: 0.0588 (0.0701) loss_lansim: 0.0861 (0.0961) loss_contra: 0.0000 (0.0049) time: 2.6554 data: 0.0025 max mem: 31671 Epoch: [19] [4430/5278] eta: 0:36:05 lr: 2.698775407250852e-05 loss: 0.0542 (0.0652) loss_seg: 0.0588 (0.0701) loss_lansim: 0.0861 (0.0961) loss_contra: 0.0000 (0.0049) time: 2.6596 data: 0.0025 max mem: 31671 Epoch: [19] [4440/5278] eta: 0:35:40 lr: 2.6985471413209633e-05 loss: 0.0560 (0.0652) loss_seg: 0.0603 (0.0701) loss_lansim: 0.0859 (0.0961) loss_contra: 0.0000 (0.0049) time: 2.6630 data: 0.0025 max mem: 31671 Epoch: [19] [4450/5278] eta: 0:35:15 lr: 2.698318873245648e-05 loss: 0.0503 (0.0652) loss_seg: 0.0549 (0.0700) loss_lansim: 0.0859 (0.0960) loss_contra: 0.0000 (0.0049) time: 2.6708 data: 0.0026 max mem: 31671 Epoch: [19] [4460/5278] eta: 0:34:49 lr: 2.6980906030246843e-05 loss: 0.0532 (0.0652) loss_seg: 0.0571 (0.0700) loss_lansim: 0.0863 (0.0960) loss_contra: 0.0000 (0.0049) time: 2.6676 data: 0.0026 max mem: 31671 Epoch: [19] [4470/5278] eta: 0:34:24 lr: 2.697862330657849e-05 loss: 0.0532 (0.0652) loss_seg: 0.0571 (0.0700) loss_lansim: 0.0859 (0.0960) loss_contra: 0.0000 (0.0049) time: 2.6692 data: 0.0026 max mem: 31671 Epoch: [19] [4480/5278] eta: 0:33:58 lr: 2.6976340561449213e-05 loss: 0.0499 (0.0651) loss_seg: 0.0549 (0.0700) loss_lansim: 0.0859 (0.0960) loss_contra: 0.0000 (0.0049) time: 2.6655 data: 0.0026 max mem: 31671 Epoch: [19] [4490/5278] eta: 0:33:33 lr: 2.6974057794856787e-05 loss: 0.0499 (0.0651) loss_seg: 0.0546 (0.0700) loss_lansim: 0.0862 (0.0960) loss_contra: 0.0000 (0.0049) time: 2.6461 data: 0.0026 max mem: 31671 Epoch: [19] [4500/5278] eta: 0:33:07 lr: 2.6971775006798998e-05 loss: 0.0503 (0.0651) loss_seg: 0.0555 (0.0700) loss_lansim: 0.0863 (0.0960) loss_contra: 0.0000 (0.0049) time: 2.6502 data: 0.0026 max mem: 31671 Epoch: [19] [4510/5278] eta: 0:32:42 lr: 2.6969492197273626e-05 loss: 0.0494 (0.0651) loss_seg: 0.0544 (0.0700) loss_lansim: 0.0873 (0.0960) loss_contra: 0.0001 (0.0049) time: 2.6417 data: 0.0026 max mem: 31671 Epoch: [19] [4520/5278] eta: 0:32:16 lr: 2.696720936627844e-05 loss: 0.0494 (0.0651) loss_seg: 0.0544 (0.0699) loss_lansim: 0.0889 (0.0960) loss_contra: 0.0001 (0.0049) time: 2.6424 data: 0.0026 max mem: 31671 Epoch: [19] [4530/5278] eta: 0:31:51 lr: 2.6964926513811227e-05 loss: 0.0501 (0.0651) loss_seg: 0.0551 (0.0699) loss_lansim: 0.0893 (0.0959) loss_contra: 0.0001 (0.0050) time: 2.6345 data: 0.0026 max mem: 31671 Epoch: [19] [4540/5278] eta: 0:31:26 lr: 2.6962643639869765e-05 loss: 0.0501 (0.0651) loss_seg: 0.0551 (0.0699) loss_lansim: 0.0893 (0.0959) loss_contra: 0.0001 (0.0050) time: 2.6262 data: 0.0026 max mem: 31671 Epoch: [19] [4550/5278] eta: 0:31:00 lr: 2.6960360744451824e-05 loss: 0.0586 (0.0651) loss_seg: 0.0610 (0.0700) loss_lansim: 0.0899 (0.0959) loss_contra: 0.0001 (0.0050) time: 2.6102 data: 0.0026 max mem: 31671 Epoch: [19] [4560/5278] eta: 0:30:35 lr: 2.695807782755519e-05 loss: 0.0576 (0.0651) loss_seg: 0.0605 (0.0700) loss_lansim: 0.0906 (0.0959) loss_contra: 0.0001 (0.0050) time: 2.6138 data: 0.0025 max mem: 31671 Epoch: [19] [4570/5278] eta: 0:30:09 lr: 2.6955794889177638e-05 loss: 0.0554 (0.0651) loss_seg: 0.0605 (0.0699) loss_lansim: 0.0907 (0.0959) loss_contra: 0.0001 (0.0050) time: 2.6210 data: 0.0025 max mem: 31671 Epoch: [19] [4580/5278] eta: 0:29:44 lr: 2.695351192931694e-05 loss: 0.0597 (0.0651) loss_seg: 0.0634 (0.0700) loss_lansim: 0.0915 (0.0959) loss_contra: 0.0001 (0.0050) time: 2.6251 data: 0.0025 max mem: 31671 Epoch: [19] [4590/5278] eta: 0:29:19 lr: 2.695122894797088e-05 loss: 0.0596 (0.0651) loss_seg: 0.0610 (0.0700) loss_lansim: 0.0930 (0.0959) loss_contra: 0.0002 (0.0050) time: 2.6379 data: 0.0025 max mem: 31671 Epoch: [19] [4600/5278] eta: 0:28:53 lr: 2.6948945945137227e-05 loss: 0.0606 (0.0651) loss_seg: 0.0610 (0.0700) loss_lansim: 0.0931 (0.0959) loss_contra: 0.0001 (0.0050) time: 2.6281 data: 0.0025 max mem: 31671 Epoch: [19] [4610/5278] eta: 0:28:28 lr: 2.694666292081376e-05 loss: 0.0586 (0.0651) loss_seg: 0.0610 (0.0700) loss_lansim: 0.0926 (0.0959) loss_contra: 0.0001 (0.0050) time: 2.6347 data: 0.0025 max mem: 31671 Epoch: [19] [4620/5278] eta: 0:28:02 lr: 2.694437987499825e-05 loss: 0.0607 (0.0651) loss_seg: 0.0645 (0.0700) loss_lansim: 0.0915 (0.0959) loss_contra: 0.0002 (0.0050) time: 2.6362 data: 0.0025 max mem: 31671 Epoch: [19] [4630/5278] eta: 0:27:37 lr: 2.6942096807688467e-05 loss: 0.0610 (0.0652) loss_seg: 0.0648 (0.0700) loss_lansim: 0.0924 (0.0959) loss_contra: 0.0002 (0.0051) time: 2.6357 data: 0.0025 max mem: 31671 Epoch: [19] [4640/5278] eta: 0:27:11 lr: 2.69398137188822e-05 loss: 0.0607 (0.0652) loss_seg: 0.0624 (0.0700) loss_lansim: 0.0930 (0.0959) loss_contra: 0.0003 (0.0051) time: 2.6360 data: 0.0025 max mem: 31671 Epoch: [19] [4650/5278] eta: 0:26:46 lr: 2.6937530608577204e-05 loss: 0.0561 (0.0652) loss_seg: 0.0610 (0.0700) loss_lansim: 0.0924 (0.0959) loss_contra: 0.0003 (0.0051) time: 2.6321 data: 0.0025 max mem: 31671 Epoch: [19] [4660/5278] eta: 0:26:20 lr: 2.693524747677127e-05 loss: 0.0561 (0.0652) loss_seg: 0.0613 (0.0700) loss_lansim: 0.0926 (0.0959) loss_contra: 0.0004 (0.0051) time: 2.6326 data: 0.0025 max mem: 31671 Epoch: [19] [4670/5278] eta: 0:25:55 lr: 2.6932964323462156e-05 loss: 0.0558 (0.0652) loss_seg: 0.0590 (0.0700) loss_lansim: 0.0924 (0.0959) loss_contra: 0.0003 (0.0051) time: 2.6319 data: 0.0025 max mem: 31671 Epoch: [19] [4680/5278] eta: 0:25:29 lr: 2.693068114864764e-05 loss: 0.0530 (0.0652) loss_seg: 0.0552 (0.0700) loss_lansim: 0.0916 (0.0959) loss_contra: 0.0002 (0.0051) time: 2.6265 data: 0.0025 max mem: 31671 Epoch: [19] [4690/5278] eta: 0:25:04 lr: 2.6928397952325495e-05 loss: 0.0503 (0.0652) loss_seg: 0.0543 (0.0701) loss_lansim: 0.0905 (0.0958) loss_contra: 0.0002 (0.0051) time: 2.6191 data: 0.0025 max mem: 31671 Epoch: [19] [4700/5278] eta: 0:24:38 lr: 2.692611473449349e-05 loss: 0.0500 (0.0652) loss_seg: 0.0534 (0.0701) loss_lansim: 0.0907 (0.0958) loss_contra: 0.0003 (0.0051) time: 2.6119 data: 0.0026 max mem: 31671 Epoch: [19] [4710/5278] eta: 0:24:13 lr: 2.6923831495149392e-05 loss: 0.0493 (0.0652) loss_seg: 0.0532 (0.0701) loss_lansim: 0.0910 (0.0958) loss_contra: 0.0003 (0.0051) time: 2.6134 data: 0.0026 max mem: 31671 Epoch: [19] [4720/5278] eta: 0:23:47 lr: 2.6921548234290985e-05 loss: 0.0503 (0.0652) loss_seg: 0.0532 (0.0701) loss_lansim: 0.0916 (0.0958) loss_contra: 0.0003 (0.0053) time: 2.6103 data: 0.0026 max mem: 31671 Epoch: [19] [4730/5278] eta: 0:23:21 lr: 2.691926495191602e-05 loss: 0.0503 (0.0652) loss_seg: 0.0534 (0.0701) loss_lansim: 0.0916 (0.0958) loss_contra: 0.0003 (0.0053) time: 2.6067 data: 0.0026 max mem: 31671 Epoch: [19] [4740/5278] eta: 0:22:56 lr: 2.6916981648022276e-05 loss: 0.0493 (0.0652) loss_seg: 0.0532 (0.0701) loss_lansim: 0.0919 (0.0958) loss_contra: 0.0004 (0.0053) time: 2.6088 data: 0.0026 max mem: 31671 Epoch: [19] [4750/5278] eta: 0:22:30 lr: 2.6914698322607527e-05 loss: 0.0553 (0.0653) loss_seg: 0.0566 (0.0701) loss_lansim: 0.0919 (0.0958) loss_contra: 0.0003 (0.0053) time: 2.6122 data: 0.0026 max mem: 31671 Epoch: [19] [4760/5278] eta: 0:22:05 lr: 2.6912414975669525e-05 loss: 0.0574 (0.0653) loss_seg: 0.0615 (0.0701) loss_lansim: 0.0923 (0.0958) loss_contra: 0.0002 (0.0053) time: 2.6154 data: 0.0026 max mem: 31671 Epoch: [19] [4770/5278] eta: 0:21:40 lr: 2.691013160720606e-05 loss: 0.0577 (0.0653) loss_seg: 0.0632 (0.0701) loss_lansim: 0.0927 (0.0958) loss_contra: 0.0002 (0.0053) time: 2.6238 data: 0.0026 max mem: 31671 Epoch: [19] [4780/5278] eta: 0:21:14 lr: 2.6907848217214885e-05 loss: 0.0589 (0.0652) loss_seg: 0.0635 (0.0701) loss_lansim: 0.0927 (0.0958) loss_contra: 0.0004 (0.0054) time: 2.6356 data: 0.0026 max mem: 31671 Epoch: [19] [4790/5278] eta: 0:20:49 lr: 2.6905564805693772e-05 loss: 0.0582 (0.0652) loss_seg: 0.0634 (0.0701) loss_lansim: 0.0937 (0.0958) loss_contra: 0.0005 (0.0054) time: 2.6381 data: 0.0026 max mem: 31671 Epoch: [19] [4800/5278] eta: 0:20:23 lr: 2.690328137264049e-05 loss: 0.0589 (0.0652) loss_seg: 0.0641 (0.0701) loss_lansim: 0.0931 (0.0958) loss_contra: 0.0004 (0.0054) time: 2.6441 data: 0.0026 max mem: 31671 Epoch: [19] [4810/5278] eta: 0:19:57 lr: 2.6900997918052795e-05 loss: 0.0582 (0.0652) loss_seg: 0.0635 (0.0700) loss_lansim: 0.0923 (0.0958) loss_contra: 0.0004 (0.0054) time: 2.6385 data: 0.0026 max mem: 31671 Epoch: [19] [4820/5278] eta: 0:19:32 lr: 2.6898714441928458e-05 loss: 0.0589 (0.0652) loss_seg: 0.0641 (0.0701) loss_lansim: 0.0927 (0.0958) loss_contra: 0.0004 (0.0054) time: 2.6571 data: 0.0026 max mem: 31671 Epoch: [19] [4830/5278] eta: 0:19:07 lr: 2.6896430944265256e-05 loss: 0.0574 (0.0652) loss_seg: 0.0615 (0.0701) loss_lansim: 0.0926 (0.0958) loss_contra: 0.0003 (0.0054) time: 2.6685 data: 0.0026 max mem: 31671 Epoch: [19] [4840/5278] eta: 0:18:41 lr: 2.6894147425060932e-05 loss: 0.0552 (0.0652) loss_seg: 0.0589 (0.0701) loss_lansim: 0.0903 (0.0958) loss_contra: 0.0002 (0.0053) time: 2.6780 data: 0.0026 max mem: 31671 Epoch: [19] [4850/5278] eta: 0:18:16 lr: 2.6891863884313274e-05 loss: 0.0515 (0.0653) loss_seg: 0.0558 (0.0702) loss_lansim: 0.0898 (0.0958) loss_contra: 0.0003 (0.0057) time: 2.6845 data: 0.0026 max mem: 31671 Epoch: [19] [4860/5278] eta: 0:17:50 lr: 2.6889580322020032e-05 loss: 0.0510 (0.0653) loss_seg: 0.0544 (0.0702) loss_lansim: 0.0897 (0.0958) loss_contra: 0.0002 (0.0057) time: 2.6898 data: 0.0026 max mem: 31671 Epoch: [19] [4870/5278] eta: 0:17:25 lr: 2.6887296738178963e-05 loss: 0.0515 (0.0654) loss_seg: 0.0558 (0.0703) loss_lansim: 0.0886 (0.0957) loss_contra: 0.0003 (0.0056) time: 2.6829 data: 0.0026 max mem: 31671 Epoch: [19] [4880/5278] eta: 0:16:59 lr: 2.688501313278785e-05 loss: 0.0525 (0.0654) loss_seg: 0.0575 (0.0703) loss_lansim: 0.0893 (0.0958) loss_contra: 0.0002 (0.0056) time: 2.6786 data: 0.0026 max mem: 31671 Epoch: [19] [4890/5278] eta: 0:16:34 lr: 2.6882729505844446e-05 loss: 0.0568 (0.0654) loss_seg: 0.0593 (0.0703) loss_lansim: 0.0899 (0.0958) loss_contra: 0.0001 (0.0056) time: 2.6730 data: 0.0026 max mem: 31671 Epoch: [19] [4900/5278] eta: 0:16:08 lr: 2.6880445857346503e-05 loss: 0.0539 (0.0654) loss_seg: 0.0593 (0.0703) loss_lansim: 0.0904 (0.0958) loss_contra: 0.0001 (0.0056) time: 2.6863 data: 0.0026 max mem: 31671 Epoch: [19] [4910/5278] eta: 0:15:42 lr: 2.6878162187291804e-05 loss: 0.0588 (0.0654) loss_seg: 0.0628 (0.0703) loss_lansim: 0.0928 (0.0958) loss_contra: 0.0001 (0.0056) time: 2.6864 data: 0.0026 max mem: 31671 Epoch: [19] [4920/5278] eta: 0:15:17 lr: 2.6875878495678085e-05 loss: 0.0559 (0.0654) loss_seg: 0.0597 (0.0703) loss_lansim: 0.0927 (0.0958) loss_contra: 0.0001 (0.0056) time: 2.6742 data: 0.0026 max mem: 31671 Epoch: [19] [4930/5278] eta: 0:14:51 lr: 2.687359478250313e-05 loss: 0.0588 (0.0654) loss_seg: 0.0628 (0.0703) loss_lansim: 0.0938 (0.0958) loss_contra: 0.0001 (0.0056) time: 2.6665 data: 0.0026 max mem: 31671 Epoch: [19] [4940/5278] eta: 0:14:26 lr: 2.687131104776469e-05 loss: 0.0620 (0.0655) loss_seg: 0.0683 (0.0703) loss_lansim: 0.0941 (0.0958) loss_contra: 0.0001 (0.0056) time: 2.6453 data: 0.0026 max mem: 31671 Epoch: [19] [4950/5278] eta: 0:14:00 lr: 2.6869027291460524e-05 loss: 0.0620 (0.0655) loss_seg: 0.0683 (0.0704) loss_lansim: 0.0953 (0.0958) loss_contra: 0.0002 (0.0056) time: 2.6286 data: 0.0025 max mem: 31671 Epoch: [19] [4960/5278] eta: 0:13:34 lr: 2.6866743513588398e-05 loss: 0.0631 (0.0655) loss_seg: 0.0684 (0.0704) loss_lansim: 0.0951 (0.0958) loss_contra: 0.0001 (0.0056) time: 2.6106 data: 0.0025 max mem: 31671 Epoch: [19] [4970/5278] eta: 0:13:09 lr: 2.6864459714146056e-05 loss: 0.0620 (0.0655) loss_seg: 0.0655 (0.0704) loss_lansim: 0.0953 (0.0958) loss_contra: 0.0001 (0.0056) time: 2.6098 data: 0.0026 max mem: 31671 Epoch: [19] [4980/5278] eta: 0:12:43 lr: 2.6862175893131282e-05 loss: 0.0588 (0.0655) loss_seg: 0.0644 (0.0704) loss_lansim: 0.0951 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.6005 data: 0.0026 max mem: 31671 Epoch: [19] [4990/5278] eta: 0:12:18 lr: 2.6859892050541807e-05 loss: 0.0559 (0.0655) loss_seg: 0.0598 (0.0704) loss_lansim: 0.0953 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.6056 data: 0.0026 max mem: 31671 Epoch: [19] [5000/5278] eta: 0:11:52 lr: 2.6857608186375404e-05 loss: 0.0559 (0.0655) loss_seg: 0.0604 (0.0704) loss_lansim: 0.0951 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.5950 data: 0.0026 max mem: 31671 Epoch: [19] [5010/5278] eta: 0:11:26 lr: 2.685532430062983e-05 loss: 0.0562 (0.0655) loss_seg: 0.0617 (0.0704) loss_lansim: 0.0951 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.6003 data: 0.0026 max mem: 31671 Epoch: [19] [5020/5278] eta: 0:11:01 lr: 2.685304039330284e-05 loss: 0.0562 (0.0655) loss_seg: 0.0616 (0.0704) loss_lansim: 0.0938 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.5924 data: 0.0026 max mem: 31671 Epoch: [19] [5030/5278] eta: 0:10:35 lr: 2.6850756464392187e-05 loss: 0.0562 (0.0656) loss_seg: 0.0616 (0.0705) loss_lansim: 0.0935 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.5868 data: 0.0026 max mem: 31671 Epoch: [19] [5040/5278] eta: 0:10:10 lr: 2.6848472513895633e-05 loss: 0.0562 (0.0656) loss_seg: 0.0616 (0.0705) loss_lansim: 0.0935 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.5969 data: 0.0026 max mem: 31671 Epoch: [19] [5050/5278] eta: 0:09:44 lr: 2.6846188541810928e-05 loss: 0.0566 (0.0656) loss_seg: 0.0621 (0.0705) loss_lansim: 0.0908 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.6041 data: 0.0026 max mem: 31671 Epoch: [19] [5060/5278] eta: 0:09:18 lr: 2.6843904548135833e-05 loss: 0.0563 (0.0656) loss_seg: 0.0621 (0.0705) loss_lansim: 0.0924 (0.0957) loss_contra: 0.0002 (0.0056) time: 2.6181 data: 0.0026 max mem: 31671 Epoch: [19] [5070/5278] eta: 0:08:53 lr: 2.68416205328681e-05 loss: 0.0594 (0.0657) loss_seg: 0.0627 (0.0706) loss_lansim: 0.0918 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.6090 data: 0.0026 max mem: 31671 Epoch: [19] [5080/5278] eta: 0:08:27 lr: 2.6839336496005486e-05 loss: 0.0594 (0.0657) loss_seg: 0.0625 (0.0705) loss_lansim: 0.0935 (0.0957) loss_contra: 0.0002 (0.0056) time: 2.6174 data: 0.0026 max mem: 31671 Epoch: [19] [5090/5278] eta: 0:08:01 lr: 2.683705243754574e-05 loss: 0.0585 (0.0656) loss_seg: 0.0625 (0.0705) loss_lansim: 0.0908 (0.0957) loss_contra: 0.0001 (0.0056) time: 2.6052 data: 0.0026 max mem: 31671 Epoch: [19] [5100/5278] eta: 0:07:36 lr: 2.683476835748662e-05 loss: 0.0585 (0.0656) loss_seg: 0.0625 (0.0705) loss_lansim: 0.0910 (0.0957) loss_contra: 0.0001 (0.0057) time: 2.6026 data: 0.0026 max mem: 31671 Epoch: [19] [5110/5278] eta: 0:07:10 lr: 2.683248425582587e-05 loss: 0.0566 (0.0656) loss_seg: 0.0621 (0.0705) loss_lansim: 0.0910 (0.0957) loss_contra: 0.0001 (0.0057) time: 2.6054 data: 0.0026 max mem: 31671 Epoch: [19] [5120/5278] eta: 0:06:45 lr: 2.6830200132561252e-05 loss: 0.0584 (0.0657) loss_seg: 0.0625 (0.0705) loss_lansim: 0.0910 (0.0957) loss_contra: 0.0002 (0.0057) time: 2.6109 data: 0.0026 max mem: 31671 Epoch: [19] [5130/5278] eta: 0:06:19 lr: 2.6827915987690512e-05 loss: 0.0584 (0.0656) loss_seg: 0.0625 (0.0705) loss_lansim: 0.0912 (0.0957) loss_contra: 0.0002 (0.0057) time: 2.6246 data: 0.0026 max mem: 31671 Epoch: [19] [5140/5278] eta: 0:05:53 lr: 2.682563182121141e-05 loss: 0.0605 (0.0657) loss_seg: 0.0640 (0.0706) loss_lansim: 0.0914 (0.0957) loss_contra: 0.0001 (0.0057) time: 2.6218 data: 0.0026 max mem: 31671 Epoch: [19] [5150/5278] eta: 0:05:28 lr: 2.6823347633121688e-05 loss: 0.0594 (0.0657) loss_seg: 0.0629 (0.0706) loss_lansim: 0.0940 (0.0957) loss_contra: 0.0001 (0.0057) time: 2.6240 data: 0.0027 max mem: 31671 Epoch: [19] [5160/5278] eta: 0:05:02 lr: 2.68210634234191e-05 loss: 0.0605 (0.0657) loss_seg: 0.0629 (0.0706) loss_lansim: 0.0932 (0.0957) loss_contra: 0.0001 (0.0057) time: 2.6076 data: 0.0026 max mem: 31671 Epoch: [19] [5170/5278] eta: 0:04:36 lr: 2.68187791921014e-05 loss: 0.0595 (0.0658) loss_seg: 0.0629 (0.0707) loss_lansim: 0.0932 (0.0957) loss_contra: 0.0001 (0.0057) time: 2.6040 data: 0.0026 max mem: 31671 Epoch: [19] [5180/5278] eta: 0:04:11 lr: 2.6816494939166337e-05 loss: 0.0595 (0.0658) loss_seg: 0.0651 (0.0707) loss_lansim: 0.0917 (0.0956) loss_contra: 0.0001 (0.0056) time: 2.6017 data: 0.0026 max mem: 31671 Epoch: [19] [5190/5278] eta: 0:03:45 lr: 2.6814210664611655e-05 loss: 0.0595 (0.0658) loss_seg: 0.0651 (0.0707) loss_lansim: 0.0935 (0.0956) loss_contra: 0.0001 (0.0057) time: 2.6063 data: 0.0026 max mem: 31671 Epoch: [19] [5200/5278] eta: 0:03:20 lr: 2.6811926368435108e-05 loss: 0.0595 (0.0658) loss_seg: 0.0651 (0.0707) loss_lansim: 0.0942 (0.0956) loss_contra: 0.0001 (0.0057) time: 2.6081 data: 0.0026 max mem: 31671 Epoch: [19] [5210/5278] eta: 0:02:54 lr: 2.6809642050634437e-05 loss: 0.0613 (0.0658) loss_seg: 0.0662 (0.0707) loss_lansim: 0.0935 (0.0956) loss_contra: 0.0001 (0.0056) time: 2.6200 data: 0.0026 max mem: 31671 Epoch: [19] [5220/5278] eta: 0:02:28 lr: 2.6807357711207405e-05 loss: 0.0613 (0.0658) loss_seg: 0.0666 (0.0707) loss_lansim: 0.0942 (0.0956) loss_contra: 0.0001 (0.0056) time: 2.6247 data: 0.0026 max mem: 31671 Epoch: [19] [5230/5278] eta: 0:02:03 lr: 2.680507335015174e-05 loss: 0.0595 (0.0658) loss_seg: 0.0634 (0.0707) loss_lansim: 0.0942 (0.0956) loss_contra: 0.0001 (0.0056) time: 2.6267 data: 0.0026 max mem: 31671 Epoch: [19] [5240/5278] eta: 0:01:37 lr: 2.6802788967465204e-05 loss: 0.0604 (0.0659) loss_seg: 0.0662 (0.0708) loss_lansim: 0.0935 (0.0956) loss_contra: 0.0001 (0.0056) time: 2.6226 data: 0.0026 max mem: 31671 Epoch: [19] [5250/5278] eta: 0:01:11 lr: 2.6800504563145545e-05 loss: 0.0609 (0.0659) loss_seg: 0.0666 (0.0708) loss_lansim: 0.0935 (0.0956) loss_contra: 0.0001 (0.0056) time: 2.6338 data: 0.0026 max mem: 31671 Epoch: [19] [5260/5278] eta: 0:00:46 lr: 2.679822013719049e-05 loss: 0.0600 (0.0659) loss_seg: 0.0662 (0.0708) loss_lansim: 0.0923 (0.0956) loss_contra: 0.0001 (0.0056) time: 2.6451 data: 0.0026 max mem: 31671 Epoch: [19] [5270/5278] eta: 0:00:20 lr: 2.679593568959781e-05 loss: 0.0570 (0.0659) loss_seg: 0.0607 (0.0708) loss_lansim: 0.0918 (0.0956) loss_contra: 0.0001 (0.0056) time: 2.6463 data: 0.0025 max mem: 31671 Epoch: [19] Total time: 3:45:44 Test: [ 0/2573] eta: 1:45:11 time: 2.4529 data: 2.2577 max mem: 31671 Test: [ 100/2573] eta: 0:06:51 time: 0.1435 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:12 time: 0.1478 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:59 time: 0.1607 data: 0.0018 max mem: 31671 Test: [ 400/2573] eta: 0:05:37 time: 0.1469 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:18 time: 0.1470 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:05:02 time: 0.1513 data: 0.0017 max mem: 31671 Test: [ 700/2573] eta: 0:04:47 time: 0.1552 data: 0.0017 max mem: 31671 Test: [ 800/2573] eta: 0:04:31 time: 0.1505 data: 0.0018 max mem: 31671 Test: [ 900/2573] eta: 0:04:15 time: 0.1498 data: 0.0018 max mem: 31671 Test: [1000/2573] eta: 0:03:59 time: 0.1470 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:43 time: 0.1465 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:27 time: 0.1478 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:12 time: 0.1470 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:56 time: 0.1442 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:41 time: 0.1474 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:26 time: 0.1465 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:10 time: 0.1471 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:55 time: 0.1459 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:40 time: 0.1441 data: 0.0017 max mem: 31671 Test: [2000/2573] eta: 0:01:25 time: 0.1440 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:10 time: 0.1470 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:55 time: 0.1403 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1470 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1462 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1468 data: 0.0015 max mem: 31671 Test: Total time: 0:06:21 Final results: precision@0.5 = 67.28 precision@0.6 = 61.83 precision@0.7 = 53.98 precision@0.8 = 43.38 precision@0.9 = 21.18 overall IoU = 57.31 mean IoU = 59.74 Average object IoU 0.5974376002961238 Overall IoU 57.314572013797424 Epoch: [20] [ 0/5278] eta: 8:46:20 lr: 2.6794108115943052e-05 loss: 0.0655 (0.0655) loss_seg: 0.0644 (0.0644) loss_lansim: 0.1051 (0.1051) loss_contra: 0.0000 (0.0000) time: 5.9834 data: 1.2332 max mem: 31671 Epoch: [20] [ 10/5278] eta: 4:13:37 lr: 2.6791823629396938e-05 loss: 0.0525 (0.0526) loss_seg: 0.0580 (0.0548) loss_lansim: 0.0902 (0.0879) loss_contra: 0.0001 (0.0060) time: 2.8886 data: 0.1141 max mem: 31671 Epoch: [20] [ 20/5278] eta: 4:02:31 lr: 2.6789539121206876e-05 loss: 0.0481 (0.0633) loss_seg: 0.0473 (0.0674) loss_lansim: 0.0892 (0.0910) loss_contra: 0.0001 (0.0053) time: 2.7674 data: 0.0608 max mem: 31671 Epoch: [20] [ 30/5278] eta: 3:57:24 lr: 2.6787254591370602e-05 loss: 0.0478 (0.0608) loss_seg: 0.0505 (0.0652) loss_lansim: 0.0892 (0.0913) loss_contra: 0.0001 (0.0056) time: 2.7143 data: 0.0420 max mem: 31671 Epoch: [20] [ 40/5278] eta: 3:55:53 lr: 2.6784970039885877e-05 loss: 0.0482 (0.0641) loss_seg: 0.0514 (0.0689) loss_lansim: 0.0892 (0.0905) loss_contra: 0.0001 (0.0047) time: 2.7020 data: 0.0324 max mem: 31671 Epoch: [20] [ 50/5278] eta: 3:54:12 lr: 2.6782685466750417e-05 loss: 0.0483 (0.0628) loss_seg: 0.0526 (0.0678) loss_lansim: 0.0894 (0.0915) loss_contra: 0.0001 (0.0045) time: 2.6880 data: 0.0266 max mem: 31671 Epoch: [20] [ 60/5278] eta: 3:52:54 lr: 2.6780400871961993e-05 loss: 0.0493 (0.0668) loss_seg: 0.0530 (0.0724) loss_lansim: 0.0911 (0.0928) loss_contra: 0.0001 (0.0039) time: 2.6781 data: 0.0226 max mem: 31671 Epoch: [20] [ 70/5278] eta: 3:50:56 lr: 2.677811625551832e-05 loss: 0.0521 (0.0652) loss_seg: 0.0541 (0.0706) loss_lansim: 0.0926 (0.0940) loss_contra: 0.0001 (0.0034) time: 2.6606 data: 0.0198 max mem: 31671 Epoch: [20] [ 80/5278] eta: 3:51:51 lr: 2.677583161741717e-05 loss: 0.0529 (0.0669) loss_seg: 0.0579 (0.0724) loss_lansim: 0.0926 (0.0941) loss_contra: 0.0001 (0.0030) time: 2.6762 data: 0.0177 max mem: 31671 Epoch: [20] [ 90/5278] eta: 3:51:51 lr: 2.677354695765626e-05 loss: 0.0525 (0.0648) loss_seg: 0.0557 (0.0701) loss_lansim: 0.0926 (0.0945) loss_contra: 0.0001 (0.0029) time: 2.6814 data: 0.0160 max mem: 31671 Epoch: [20] [ 100/5278] eta: 3:50:52 lr: 2.677126227623334e-05 loss: 0.0523 (0.0645) loss_seg: 0.0550 (0.0697) loss_lansim: 0.0925 (0.0943) loss_contra: 0.0001 (0.0026) time: 2.6422 data: 0.0025 max mem: 31671 Epoch: [20] [ 110/5278] eta: 3:50:05 lr: 2.676897757314615e-05 loss: 0.0523 (0.0672) loss_seg: 0.0550 (0.0728) loss_lansim: 0.0926 (0.0940) loss_contra: 0.0001 (0.0025) time: 2.6474 data: 0.0025 max mem: 31671 Epoch: [20] [ 120/5278] eta: 3:48:58 lr: 2.6766692848392432e-05 loss: 0.0554 (0.0675) loss_seg: 0.0593 (0.0730) loss_lansim: 0.0931 (0.0941) loss_contra: 0.0001 (0.0023) time: 2.6417 data: 0.0026 max mem: 31671 Epoch: [20] [ 130/5278] eta: 3:48:30 lr: 2.676440810196992e-05 loss: 0.0568 (0.0669) loss_seg: 0.0594 (0.0723) loss_lansim: 0.0937 (0.0938) loss_contra: 0.0001 (0.0023) time: 2.6476 data: 0.0026 max mem: 31671 Epoch: [20] [ 140/5278] eta: 3:47:52 lr: 2.676212333387636e-05 loss: 0.0568 (0.0666) loss_seg: 0.0594 (0.0720) loss_lansim: 0.0942 (0.0941) loss_contra: 0.0001 (0.0022) time: 2.6444 data: 0.0026 max mem: 31671 Epoch: [20] [ 150/5278] eta: 3:46:50 lr: 2.6759838544109484e-05 loss: 0.0582 (0.0669) loss_seg: 0.0600 (0.0723) loss_lansim: 0.0931 (0.0938) loss_contra: 0.0001 (0.0021) time: 2.6368 data: 0.0026 max mem: 31671 Epoch: [20] [ 160/5278] eta: 3:46:25 lr: 2.675755373266704e-05 loss: 0.0582 (0.0670) loss_seg: 0.0600 (0.0724) loss_lansim: 0.0914 (0.0937) loss_contra: 0.0001 (0.0020) time: 2.6400 data: 0.0025 max mem: 31671 Epoch: [20] [ 170/5278] eta: 3:45:41 lr: 2.6755268899546754e-05 loss: 0.0576 (0.0667) loss_seg: 0.0600 (0.0721) loss_lansim: 0.0907 (0.0937) loss_contra: 0.0001 (0.0025) time: 2.6442 data: 0.0026 max mem: 31671 Epoch: [20] [ 180/5278] eta: 3:45:01 lr: 2.6752984044746364e-05 loss: 0.0576 (0.0664) loss_seg: 0.0594 (0.0718) loss_lansim: 0.0905 (0.0936) loss_contra: 0.0001 (0.0024) time: 2.6258 data: 0.0025 max mem: 31671 Epoch: [20] [ 190/5278] eta: 3:44:56 lr: 2.6750699168263622e-05 loss: 0.0576 (0.0654) loss_seg: 0.0594 (0.0706) loss_lansim: 0.0911 (0.0938) loss_contra: 0.0001 (0.0025) time: 2.6265 data: 0.0026 max mem: 31671 Epoch: [20] [ 200/5278] eta: 3:44:25 lr: 2.674841427009625e-05 loss: 0.0587 (0.0655) loss_seg: 0.0617 (0.0709) loss_lansim: 0.0914 (0.0938) loss_contra: 0.0001 (0.0024) time: 2.6280 data: 0.0026 max mem: 31671 Epoch: [20] [ 210/5278] eta: 3:43:57 lr: 2.674612935024199e-05 loss: 0.0596 (0.0663) loss_seg: 0.0623 (0.0719) loss_lansim: 0.0911 (0.0934) loss_contra: 0.0001 (0.0029) time: 2.6294 data: 0.0026 max mem: 31671 Epoch: [20] [ 220/5278] eta: 3:43:47 lr: 2.674384440869857e-05 loss: 0.0579 (0.0657) loss_seg: 0.0600 (0.0712) loss_lansim: 0.0914 (0.0935) loss_contra: 0.0001 (0.0034) time: 2.6441 data: 0.0026 max mem: 31671 Epoch: [20] [ 230/5278] eta: 3:43:39 lr: 2.6741559445463737e-05 loss: 0.0579 (0.0651) loss_seg: 0.0617 (0.0705) loss_lansim: 0.0914 (0.0933) loss_contra: 0.0001 (0.0033) time: 2.6520 data: 0.0026 max mem: 31671 Epoch: [20] [ 240/5278] eta: 3:43:06 lr: 2.6739274460535217e-05 loss: 0.0587 (0.0653) loss_seg: 0.0623 (0.0707) loss_lansim: 0.0914 (0.0932) loss_contra: 0.0001 (0.0032) time: 2.6513 data: 0.0026 max mem: 31671 Epoch: [20] [ 250/5278] eta: 3:42:25 lr: 2.6736989453910748e-05 loss: 0.0573 (0.0652) loss_seg: 0.0617 (0.0706) loss_lansim: 0.0921 (0.0935) loss_contra: 0.0000 (0.0030) time: 2.6545 data: 0.0026 max mem: 31671 Epoch: [20] [ 260/5278] eta: 3:41:50 lr: 2.6734704425588063e-05 loss: 0.0576 (0.0653) loss_seg: 0.0625 (0.0706) loss_lansim: 0.0923 (0.0934) loss_contra: 0.0000 (0.0029) time: 2.6495 data: 0.0026 max mem: 31671 Epoch: [20] [ 270/5278] eta: 3:40:58 lr: 2.6732419375564892e-05 loss: 0.0573 (0.0652) loss_seg: 0.0612 (0.0704) loss_lansim: 0.0921 (0.0933) loss_contra: 0.0000 (0.0030) time: 2.6416 data: 0.0026 max mem: 31671 Epoch: [20] [ 280/5278] eta: 3:40:22 lr: 2.673013430383897e-05 loss: 0.0554 (0.0650) loss_seg: 0.0612 (0.0702) loss_lansim: 0.0921 (0.0931) loss_contra: 0.0000 (0.0029) time: 2.6403 data: 0.0026 max mem: 31671 Epoch: [20] [ 290/5278] eta: 3:39:35 lr: 2.6727849210408042e-05 loss: 0.0598 (0.0656) loss_seg: 0.0653 (0.0707) loss_lansim: 0.0914 (0.0933) loss_contra: 0.0001 (0.0051) time: 2.6199 data: 0.0026 max mem: 31671 Epoch: [20] [ 300/5278] eta: 3:38:53 lr: 2.6725564095269816e-05 loss: 0.0592 (0.0656) loss_seg: 0.0650 (0.0707) loss_lansim: 0.0905 (0.0933) loss_contra: 0.0001 (0.0050) time: 2.6113 data: 0.0026 max mem: 31671 Epoch: [20] [ 310/5278] eta: 3:38:14 lr: 2.6723278958422037e-05 loss: 0.0580 (0.0653) loss_seg: 0.0625 (0.0704) loss_lansim: 0.0920 (0.0932) loss_contra: 0.0001 (0.0048) time: 2.6028 data: 0.0025 max mem: 31671 Epoch: [20] [ 320/5278] eta: 3:37:33 lr: 2.6720993799862433e-05 loss: 0.0589 (0.0657) loss_seg: 0.0639 (0.0707) loss_lansim: 0.0913 (0.0931) loss_contra: 0.0001 (0.0047) time: 2.5842 data: 0.0025 max mem: 31671 Epoch: [20] [ 330/5278] eta: 3:37:01 lr: 2.6718708619588745e-05 loss: 0.0589 (0.0656) loss_seg: 0.0639 (0.0706) loss_lansim: 0.0903 (0.0928) loss_contra: 0.0001 (0.0045) time: 2.5695 data: 0.0025 max mem: 31671 Epoch: [20] [ 340/5278] eta: 3:36:35 lr: 2.6716423417598685e-05 loss: 0.0573 (0.0659) loss_seg: 0.0603 (0.0709) loss_lansim: 0.0903 (0.0927) loss_contra: 0.0001 (0.0045) time: 2.5708 data: 0.0025 max mem: 31671 Epoch: [20] [ 350/5278] eta: 3:36:14 lr: 2.671413819388999e-05 loss: 0.0573 (0.0656) loss_seg: 0.0604 (0.0706) loss_lansim: 0.0884 (0.0924) loss_contra: 0.0001 (0.0044) time: 2.5790 data: 0.0025 max mem: 31671 Epoch: [20] [ 360/5278] eta: 3:35:39 lr: 2.67118529484604e-05 loss: 0.0546 (0.0651) loss_seg: 0.0571 (0.0700) loss_lansim: 0.0875 (0.0923) loss_contra: 0.0001 (0.0051) time: 2.5748 data: 0.0025 max mem: 31671 Epoch: [20] [ 370/5278] eta: 3:35:21 lr: 2.6709567681307633e-05 loss: 0.0546 (0.0649) loss_seg: 0.0570 (0.0700) loss_lansim: 0.0884 (0.0923) loss_contra: 0.0001 (0.0052) time: 2.5923 data: 0.0026 max mem: 31671 Epoch: [20] [ 380/5278] eta: 3:34:42 lr: 2.6707282392429417e-05 loss: 0.0548 (0.0652) loss_seg: 0.0576 (0.0702) loss_lansim: 0.0862 (0.0920) loss_contra: 0.0001 (0.0051) time: 2.5873 data: 0.0026 max mem: 31671 Epoch: [20] [ 390/5278] eta: 3:34:11 lr: 2.6704997081823485e-05 loss: 0.0546 (0.0651) loss_seg: 0.0571 (0.0702) loss_lansim: 0.0856 (0.0919) loss_contra: 0.0001 (0.0052) time: 2.5937 data: 0.0026 max mem: 31671 Epoch: [20] [ 400/5278] eta: 3:33:47 lr: 2.6702711749487557e-05 loss: 0.0517 (0.0655) loss_seg: 0.0566 (0.0705) loss_lansim: 0.0861 (0.0918) loss_contra: 0.0001 (0.0051) time: 2.6035 data: 0.0026 max mem: 31671 Epoch: [20] [ 410/5278] eta: 3:33:12 lr: 2.670042639541937e-05 loss: 0.0497 (0.0653) loss_seg: 0.0541 (0.0703) loss_lansim: 0.0862 (0.0918) loss_contra: 0.0001 (0.0050) time: 2.6031 data: 0.0026 max mem: 31671 Epoch: [20] [ 420/5278] eta: 3:32:43 lr: 2.669814101961664e-05 loss: 0.0516 (0.0651) loss_seg: 0.0544 (0.0700) loss_lansim: 0.0860 (0.0917) loss_contra: 0.0001 (0.0049) time: 2.6096 data: 0.0027 max mem: 31671 Epoch: [20] [ 430/5278] eta: 3:32:12 lr: 2.6695855622077097e-05 loss: 0.0478 (0.0647) loss_seg: 0.0525 (0.0696) loss_lansim: 0.0866 (0.0917) loss_contra: 0.0001 (0.0048) time: 2.6087 data: 0.0026 max mem: 31671 Epoch: [20] [ 440/5278] eta: 3:31:48 lr: 2.6693570202798467e-05 loss: 0.0472 (0.0645) loss_seg: 0.0522 (0.0694) loss_lansim: 0.0861 (0.0916) loss_contra: 0.0001 (0.0047) time: 2.6098 data: 0.0027 max mem: 31671 Epoch: [20] [ 450/5278] eta: 3:31:16 lr: 2.6691284761778484e-05 loss: 0.0471 (0.0642) loss_seg: 0.0517 (0.0691) loss_lansim: 0.0875 (0.0915) loss_contra: 0.0001 (0.0046) time: 2.6006 data: 0.0027 max mem: 31671 Epoch: [20] [ 460/5278] eta: 3:30:47 lr: 2.668899929901486e-05 loss: 0.0491 (0.0642) loss_seg: 0.0530 (0.0691) loss_lansim: 0.0875 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.6033 data: 0.0026 max mem: 31671 Epoch: [20] [ 470/5278] eta: 3:30:19 lr: 2.6686713814505322e-05 loss: 0.0498 (0.0642) loss_seg: 0.0540 (0.0691) loss_lansim: 0.0875 (0.0917) loss_contra: 0.0001 (0.0045) time: 2.5947 data: 0.0026 max mem: 31671 Epoch: [20] [ 480/5278] eta: 3:29:55 lr: 2.6684428308247593e-05 loss: 0.0491 (0.0641) loss_seg: 0.0536 (0.0690) loss_lansim: 0.0889 (0.0918) loss_contra: 0.0001 (0.0045) time: 2.6061 data: 0.0026 max mem: 31671 Epoch: [20] [ 490/5278] eta: 3:29:26 lr: 2.6682142780239407e-05 loss: 0.0491 (0.0638) loss_seg: 0.0525 (0.0687) loss_lansim: 0.0900 (0.0918) loss_contra: 0.0001 (0.0045) time: 2.6071 data: 0.0026 max mem: 31671 Epoch: [20] [ 500/5278] eta: 3:28:56 lr: 2.6679857230478472e-05 loss: 0.0491 (0.0640) loss_seg: 0.0530 (0.0688) loss_lansim: 0.0905 (0.0918) loss_contra: 0.0001 (0.0044) time: 2.6008 data: 0.0026 max mem: 31671 Epoch: [20] [ 510/5278] eta: 3:28:29 lr: 2.667757165896252e-05 loss: 0.0502 (0.0638) loss_seg: 0.0540 (0.0687) loss_lansim: 0.0904 (0.0918) loss_contra: 0.0002 (0.0043) time: 2.6060 data: 0.0026 max mem: 31671 Epoch: [20] [ 520/5278] eta: 3:28:05 lr: 2.667528606568927e-05 loss: 0.0492 (0.0638) loss_seg: 0.0536 (0.0686) loss_lansim: 0.0905 (0.0918) loss_contra: 0.0001 (0.0042) time: 2.6113 data: 0.0025 max mem: 31671 Epoch: [20] [ 530/5278] eta: 3:27:35 lr: 2.667300045065644e-05 loss: 0.0513 (0.0636) loss_seg: 0.0550 (0.0684) loss_lansim: 0.0906 (0.0919) loss_contra: 0.0001 (0.0042) time: 2.6109 data: 0.0025 max mem: 31671 Epoch: [20] [ 540/5278] eta: 3:27:05 lr: 2.667071481386176e-05 loss: 0.0515 (0.0635) loss_seg: 0.0567 (0.0683) loss_lansim: 0.0912 (0.0920) loss_contra: 0.0000 (0.0041) time: 2.6039 data: 0.0025 max mem: 31671 Epoch: [20] [ 550/5278] eta: 3:26:38 lr: 2.666842915530294e-05 loss: 0.0527 (0.0636) loss_seg: 0.0579 (0.0684) loss_lansim: 0.0909 (0.0920) loss_contra: 0.0001 (0.0040) time: 2.6070 data: 0.0025 max mem: 31671 Epoch: [20] [ 560/5278] eta: 3:26:06 lr: 2.6666143474977706e-05 loss: 0.0535 (0.0637) loss_seg: 0.0583 (0.0686) loss_lansim: 0.0915 (0.0920) loss_contra: 0.0001 (0.0040) time: 2.6034 data: 0.0025 max mem: 31671 Epoch: [20] [ 570/5278] eta: 3:25:38 lr: 2.6663857772883778e-05 loss: 0.0536 (0.0636) loss_seg: 0.0579 (0.0685) loss_lansim: 0.0918 (0.0921) loss_contra: 0.0001 (0.0046) time: 2.6027 data: 0.0025 max mem: 31671 Epoch: [20] [ 580/5278] eta: 3:25:08 lr: 2.666157204901888e-05 loss: 0.0540 (0.0637) loss_seg: 0.0586 (0.0685) loss_lansim: 0.0909 (0.0920) loss_contra: 0.0000 (0.0046) time: 2.5952 data: 0.0025 max mem: 31671 Epoch: [20] [ 590/5278] eta: 3:24:35 lr: 2.6659286303380716e-05 loss: 0.0540 (0.0636) loss_seg: 0.0596 (0.0685) loss_lansim: 0.0913 (0.0921) loss_contra: 0.0000 (0.0046) time: 2.5887 data: 0.0025 max mem: 31671 Epoch: [20] [ 600/5278] eta: 3:24:02 lr: 2.6657000535967015e-05 loss: 0.0538 (0.0637) loss_seg: 0.0594 (0.0686) loss_lansim: 0.0912 (0.0920) loss_contra: 0.0001 (0.0045) time: 2.5822 data: 0.0025 max mem: 31671 Epoch: [20] [ 610/5278] eta: 3:23:33 lr: 2.6654714746775494e-05 loss: 0.0533 (0.0636) loss_seg: 0.0583 (0.0686) loss_lansim: 0.0914 (0.0921) loss_contra: 0.0001 (0.0049) time: 2.5802 data: 0.0025 max mem: 31671 Epoch: [20] [ 620/5278] eta: 3:23:07 lr: 2.6652428935803876e-05 loss: 0.0533 (0.0634) loss_seg: 0.0578 (0.0684) loss_lansim: 0.0938 (0.0923) loss_contra: 0.0001 (0.0055) time: 2.5759 data: 0.0025 max mem: 31671 Epoch: [20] [ 630/5278] eta: 3:22:39 lr: 2.6650143103049864e-05 loss: 0.0536 (0.0633) loss_seg: 0.0585 (0.0682) loss_lansim: 0.0938 (0.0923) loss_contra: 0.0001 (0.0055) time: 2.5766 data: 0.0025 max mem: 31671 Epoch: [20] [ 640/5278] eta: 3:22:11 lr: 2.664785724851118e-05 loss: 0.0538 (0.0636) loss_seg: 0.0585 (0.0685) loss_lansim: 0.0938 (0.0925) loss_contra: 0.0001 (0.0056) time: 2.5783 data: 0.0026 max mem: 31671 Epoch: [20] [ 650/5278] eta: 3:21:46 lr: 2.6645571372185547e-05 loss: 0.0536 (0.0638) loss_seg: 0.0576 (0.0686) loss_lansim: 0.0936 (0.0924) loss_contra: 0.0002 (0.0056) time: 2.5807 data: 0.0025 max mem: 31671 Epoch: [20] [ 660/5278] eta: 3:21:18 lr: 2.664328547407067e-05 loss: 0.0533 (0.0637) loss_seg: 0.0570 (0.0685) loss_lansim: 0.0935 (0.0925) loss_contra: 0.0002 (0.0056) time: 2.5834 data: 0.0025 max mem: 31671 Epoch: [20] [ 670/5278] eta: 3:20:54 lr: 2.6640999554164274e-05 loss: 0.0530 (0.0637) loss_seg: 0.0570 (0.0685) loss_lansim: 0.0936 (0.0925) loss_contra: 0.0002 (0.0055) time: 2.5891 data: 0.0025 max mem: 31671 Epoch: [20] [ 680/5278] eta: 3:20:34 lr: 2.663871361246407e-05 loss: 0.0536 (0.0638) loss_seg: 0.0576 (0.0686) loss_lansim: 0.0955 (0.0927) loss_contra: 0.0002 (0.0057) time: 2.6009 data: 0.0025 max mem: 31671 Epoch: [20] [ 690/5278] eta: 3:20:13 lr: 2.6636427648967772e-05 loss: 0.0536 (0.0637) loss_seg: 0.0576 (0.0685) loss_lansim: 0.0939 (0.0927) loss_contra: 0.0002 (0.0058) time: 2.6180 data: 0.0026 max mem: 31671 Epoch: [20] [ 700/5278] eta: 3:19:46 lr: 2.6634141663673094e-05 loss: 0.0543 (0.0637) loss_seg: 0.0578 (0.0685) loss_lansim: 0.0958 (0.0927) loss_contra: 0.0003 (0.0057) time: 2.6266 data: 0.0026 max mem: 31671 Epoch: [20] [ 710/5278] eta: 3:19:15 lr: 2.6631855656577743e-05 loss: 0.0545 (0.0636) loss_seg: 0.0582 (0.0684) loss_lansim: 0.0960 (0.0928) loss_contra: 0.0003 (0.0058) time: 2.6223 data: 0.0026 max mem: 31671 Epoch: [20] [ 720/5278] eta: 3:18:50 lr: 2.662956962767944e-05 loss: 0.0542 (0.0634) loss_seg: 0.0579 (0.0682) loss_lansim: 0.0956 (0.0928) loss_contra: 0.0002 (0.0058) time: 2.6244 data: 0.0026 max mem: 31671 Epoch: [20] [ 730/5278] eta: 3:18:20 lr: 2.662728357697589e-05 loss: 0.0543 (0.0633) loss_seg: 0.0579 (0.0681) loss_lansim: 0.0958 (0.0929) loss_contra: 0.0002 (0.0059) time: 2.6201 data: 0.0026 max mem: 31671 Epoch: [20] [ 740/5278] eta: 3:17:48 lr: 2.6624997504464816e-05 loss: 0.0540 (0.0632) loss_seg: 0.0577 (0.0680) loss_lansim: 0.0956 (0.0929) loss_contra: 0.0001 (0.0058) time: 2.6140 data: 0.0026 max mem: 31671 Epoch: [20] [ 750/5278] eta: 3:17:22 lr: 2.6622711410143926e-05 loss: 0.0527 (0.0631) loss_seg: 0.0566 (0.0678) loss_lansim: 0.0959 (0.0929) loss_contra: 0.0001 (0.0057) time: 2.6122 data: 0.0026 max mem: 31671 Epoch: [20] [ 760/5278] eta: 3:16:58 lr: 2.662042529401092e-05 loss: 0.0540 (0.0631) loss_seg: 0.0568 (0.0678) loss_lansim: 0.0958 (0.0928) loss_contra: 0.0001 (0.0057) time: 2.6193 data: 0.0025 max mem: 31671 Epoch: [20] [ 770/5278] eta: 3:16:31 lr: 2.6618139156063522e-05 loss: 0.0524 (0.0630) loss_seg: 0.0565 (0.0677) loss_lansim: 0.0955 (0.0929) loss_contra: 0.0001 (0.0057) time: 2.6142 data: 0.0025 max mem: 31671 Epoch: [20] [ 780/5278] eta: 3:16:07 lr: 2.661585299629943e-05 loss: 0.0505 (0.0629) loss_seg: 0.0549 (0.0677) loss_lansim: 0.0955 (0.0930) loss_contra: 0.0001 (0.0056) time: 2.6091 data: 0.0026 max mem: 31671 Epoch: [20] [ 790/5278] eta: 3:15:40 lr: 2.6613566814716366e-05 loss: 0.0505 (0.0629) loss_seg: 0.0548 (0.0676) loss_lansim: 0.0956 (0.0930) loss_contra: 0.0001 (0.0055) time: 2.5989 data: 0.0026 max mem: 31671 Epoch: [20] [ 800/5278] eta: 3:15:11 lr: 2.6611280611312032e-05 loss: 0.0499 (0.0629) loss_seg: 0.0547 (0.0676) loss_lansim: 0.0959 (0.0931) loss_contra: 0.0001 (0.0057) time: 2.5951 data: 0.0026 max mem: 31671 Epoch: [20] [ 810/5278] eta: 3:14:39 lr: 2.6608994386084135e-05 loss: 0.0503 (0.0628) loss_seg: 0.0537 (0.0675) loss_lansim: 0.0946 (0.0930) loss_contra: 0.0000 (0.0056) time: 2.5904 data: 0.0026 max mem: 31671 Epoch: [20] [ 820/5278] eta: 3:14:14 lr: 2.660670813903039e-05 loss: 0.0504 (0.0627) loss_seg: 0.0547 (0.0675) loss_lansim: 0.0933 (0.0930) loss_contra: 0.0000 (0.0056) time: 2.5906 data: 0.0026 max mem: 31671 Epoch: [20] [ 830/5278] eta: 3:13:47 lr: 2.6604421870148503e-05 loss: 0.0504 (0.0626) loss_seg: 0.0537 (0.0673) loss_lansim: 0.0929 (0.0931) loss_contra: 0.0000 (0.0056) time: 2.5963 data: 0.0026 max mem: 31671 Epoch: [20] [ 840/5278] eta: 3:13:25 lr: 2.6602135579436177e-05 loss: 0.0503 (0.0624) loss_seg: 0.0537 (0.0671) loss_lansim: 0.0924 (0.0930) loss_contra: 0.0001 (0.0055) time: 2.6127 data: 0.0026 max mem: 31671 Epoch: [20] [ 850/5278] eta: 3:12:57 lr: 2.659984926689112e-05 loss: 0.0503 (0.0623) loss_seg: 0.0530 (0.0670) loss_lansim: 0.0929 (0.0931) loss_contra: 0.0001 (0.0054) time: 2.6078 data: 0.0026 max mem: 31671 Epoch: [20] [ 860/5278] eta: 3:12:32 lr: 2.659756293251104e-05 loss: 0.0504 (0.0623) loss_seg: 0.0537 (0.0670) loss_lansim: 0.0930 (0.0930) loss_contra: 0.0001 (0.0054) time: 2.6058 data: 0.0026 max mem: 31671 Epoch: [20] [ 870/5278] eta: 3:12:05 lr: 2.659527657629364e-05 loss: 0.0504 (0.0623) loss_seg: 0.0537 (0.0670) loss_lansim: 0.0929 (0.0930) loss_contra: 0.0001 (0.0054) time: 2.6056 data: 0.0026 max mem: 31671 Epoch: [20] [ 880/5278] eta: 3:11:35 lr: 2.6592990198236633e-05 loss: 0.0504 (0.0622) loss_seg: 0.0530 (0.0669) loss_lansim: 0.0904 (0.0929) loss_contra: 0.0001 (0.0054) time: 2.5948 data: 0.0026 max mem: 31671 Epoch: [20] [ 890/5278] eta: 3:11:08 lr: 2.6590703798337712e-05 loss: 0.0504 (0.0625) loss_seg: 0.0530 (0.0672) loss_lansim: 0.0897 (0.0929) loss_contra: 0.0001 (0.0054) time: 2.5937 data: 0.0026 max mem: 31671 Epoch: [20] [ 900/5278] eta: 3:10:39 lr: 2.6588417376594593e-05 loss: 0.0521 (0.0624) loss_seg: 0.0537 (0.0672) loss_lansim: 0.0897 (0.0929) loss_contra: 0.0001 (0.0053) time: 2.5937 data: 0.0026 max mem: 31671 Epoch: [20] [ 910/5278] eta: 3:10:10 lr: 2.6586130933004984e-05 loss: 0.0522 (0.0623) loss_seg: 0.0537 (0.0670) loss_lansim: 0.0904 (0.0930) loss_contra: 0.0000 (0.0053) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [20] [ 920/5278] eta: 3:09:44 lr: 2.6583844467566573e-05 loss: 0.0538 (0.0623) loss_seg: 0.0576 (0.0670) loss_lansim: 0.0897 (0.0929) loss_contra: 0.0001 (0.0052) time: 2.5968 data: 0.0026 max mem: 31671 Epoch: [20] [ 930/5278] eta: 3:09:15 lr: 2.6581557980277066e-05 loss: 0.0522 (0.0622) loss_seg: 0.0545 (0.0669) loss_lansim: 0.0889 (0.0929) loss_contra: 0.0001 (0.0052) time: 2.5913 data: 0.0026 max mem: 31671 Epoch: [20] [ 940/5278] eta: 3:08:48 lr: 2.657927147113417e-05 loss: 0.0541 (0.0623) loss_seg: 0.0574 (0.0670) loss_lansim: 0.0897 (0.0929) loss_contra: 0.0000 (0.0052) time: 2.5805 data: 0.0026 max mem: 31671 Epoch: [20] [ 950/5278] eta: 3:08:20 lr: 2.6576984940135596e-05 loss: 0.0522 (0.0622) loss_seg: 0.0545 (0.0669) loss_lansim: 0.0889 (0.0929) loss_contra: 0.0000 (0.0051) time: 2.5818 data: 0.0026 max mem: 31671 Epoch: [20] [ 960/5278] eta: 3:07:52 lr: 2.6574698387279028e-05 loss: 0.0522 (0.0623) loss_seg: 0.0545 (0.0670) loss_lansim: 0.0888 (0.0929) loss_contra: 0.0000 (0.0051) time: 2.5750 data: 0.0026 max mem: 31671 Epoch: [20] [ 970/5278] eta: 3:07:26 lr: 2.6572411812562183e-05 loss: 0.0522 (0.0622) loss_seg: 0.0554 (0.0669) loss_lansim: 0.0888 (0.0929) loss_contra: 0.0000 (0.0050) time: 2.5750 data: 0.0026 max mem: 31671 Epoch: [20] [ 980/5278] eta: 3:07:01 lr: 2.657012521598275e-05 loss: 0.0512 (0.0622) loss_seg: 0.0545 (0.0669) loss_lansim: 0.0906 (0.0929) loss_contra: 0.0000 (0.0050) time: 2.5856 data: 0.0026 max mem: 31671 Epoch: [20] [ 990/5278] eta: 3:06:34 lr: 2.656783859753844e-05 loss: 0.0507 (0.0623) loss_seg: 0.0531 (0.0670) loss_lansim: 0.0917 (0.0930) loss_contra: 0.0000 (0.0050) time: 2.5849 data: 0.0026 max mem: 31671 Epoch: [20] [1000/5278] eta: 3:06:09 lr: 2.6565551957226948e-05 loss: 0.0504 (0.0624) loss_seg: 0.0524 (0.0671) loss_lansim: 0.0912 (0.0930) loss_contra: 0.0000 (0.0053) time: 2.5914 data: 0.0026 max mem: 31671 Epoch: [20] [1010/5278] eta: 3:05:42 lr: 2.6563265295045968e-05 loss: 0.0507 (0.0625) loss_seg: 0.0554 (0.0672) loss_lansim: 0.0909 (0.0930) loss_contra: 0.0000 (0.0053) time: 2.5971 data: 0.0026 max mem: 31671 Epoch: [20] [1020/5278] eta: 3:05:19 lr: 2.656097861099321e-05 loss: 0.0490 (0.0623) loss_seg: 0.0531 (0.0671) loss_lansim: 0.0914 (0.0930) loss_contra: 0.0000 (0.0052) time: 2.6034 data: 0.0026 max mem: 31671 Epoch: [20] [1030/5278] eta: 3:04:55 lr: 2.6558691905066362e-05 loss: 0.0504 (0.0622) loss_seg: 0.0554 (0.0670) loss_lansim: 0.0914 (0.0929) loss_contra: 0.0000 (0.0052) time: 2.6142 data: 0.0026 max mem: 31671 Epoch: [20] [1040/5278] eta: 3:04:28 lr: 2.6556405177263134e-05 loss: 0.0505 (0.0621) loss_seg: 0.0545 (0.0668) loss_lansim: 0.0909 (0.0929) loss_contra: 0.0000 (0.0051) time: 2.6158 data: 0.0026 max mem: 31671 Epoch: [20] [1050/5278] eta: 3:03:59 lr: 2.6554118427581208e-05 loss: 0.0507 (0.0620) loss_seg: 0.0554 (0.0667) loss_lansim: 0.0914 (0.0929) loss_contra: 0.0001 (0.0051) time: 2.6121 data: 0.0026 max mem: 31671 Epoch: [20] [1060/5278] eta: 3:03:32 lr: 2.6551831656018293e-05 loss: 0.0490 (0.0619) loss_seg: 0.0539 (0.0666) loss_lansim: 0.0909 (0.0929) loss_contra: 0.0001 (0.0051) time: 2.6116 data: 0.0026 max mem: 31671 Epoch: [20] [1070/5278] eta: 3:03:02 lr: 2.654954486257208e-05 loss: 0.0490 (0.0619) loss_seg: 0.0539 (0.0666) loss_lansim: 0.0909 (0.0929) loss_contra: 0.0001 (0.0050) time: 2.6031 data: 0.0026 max mem: 31671 Epoch: [20] [1080/5278] eta: 3:02:35 lr: 2.6547258047240275e-05 loss: 0.0511 (0.0621) loss_seg: 0.0542 (0.0667) loss_lansim: 0.0901 (0.0928) loss_contra: 0.0001 (0.0050) time: 2.5971 data: 0.0025 max mem: 31671 Epoch: [20] [1090/5278] eta: 3:02:08 lr: 2.6544971210020564e-05 loss: 0.0513 (0.0620) loss_seg: 0.0541 (0.0666) loss_lansim: 0.0891 (0.0928) loss_contra: 0.0001 (0.0049) time: 2.5967 data: 0.0025 max mem: 31671 Epoch: [20] [1100/5278] eta: 3:01:42 lr: 2.654268435091064e-05 loss: 0.0493 (0.0620) loss_seg: 0.0540 (0.0667) loss_lansim: 0.0889 (0.0928) loss_contra: 0.0001 (0.0049) time: 2.5956 data: 0.0025 max mem: 31671 Epoch: [20] [1110/5278] eta: 3:01:18 lr: 2.65403974699082e-05 loss: 0.0493 (0.0620) loss_seg: 0.0540 (0.0667) loss_lansim: 0.0885 (0.0928) loss_contra: 0.0001 (0.0049) time: 2.6021 data: 0.0025 max mem: 31671 Epoch: [20] [1120/5278] eta: 3:00:53 lr: 2.6538110567010953e-05 loss: 0.0493 (0.0620) loss_seg: 0.0541 (0.0667) loss_lansim: 0.0889 (0.0928) loss_contra: 0.0001 (0.0048) time: 2.5974 data: 0.0025 max mem: 31671 Epoch: [20] [1130/5278] eta: 3:00:25 lr: 2.6535823642216573e-05 loss: 0.0513 (0.0622) loss_seg: 0.0542 (0.0669) loss_lansim: 0.0891 (0.0928) loss_contra: 0.0001 (0.0048) time: 2.5874 data: 0.0025 max mem: 31671 Epoch: [20] [1140/5278] eta: 3:00:00 lr: 2.653353669552276e-05 loss: 0.0492 (0.0620) loss_seg: 0.0540 (0.0667) loss_lansim: 0.0886 (0.0928) loss_contra: 0.0001 (0.0048) time: 2.5907 data: 0.0026 max mem: 31671 Epoch: [20] [1150/5278] eta: 2:59:32 lr: 2.653124972692721e-05 loss: 0.0493 (0.0620) loss_seg: 0.0541 (0.0667) loss_lansim: 0.0886 (0.0928) loss_contra: 0.0001 (0.0047) time: 2.5934 data: 0.0025 max mem: 31671 Epoch: [20] [1160/5278] eta: 2:59:09 lr: 2.6528962736427614e-05 loss: 0.0501 (0.0620) loss_seg: 0.0542 (0.0667) loss_lansim: 0.0885 (0.0928) loss_contra: 0.0001 (0.0047) time: 2.6060 data: 0.0025 max mem: 31671 Epoch: [20] [1170/5278] eta: 2:58:44 lr: 2.6526675724021666e-05 loss: 0.0493 (0.0622) loss_seg: 0.0541 (0.0669) loss_lansim: 0.0890 (0.0928) loss_contra: 0.0001 (0.0047) time: 2.6199 data: 0.0026 max mem: 31671 Epoch: [20] [1180/5278] eta: 2:58:17 lr: 2.6524388689707054e-05 loss: 0.0493 (0.0622) loss_seg: 0.0542 (0.0669) loss_lansim: 0.0893 (0.0927) loss_contra: 0.0001 (0.0047) time: 2.6178 data: 0.0026 max mem: 31671 Epoch: [20] [1190/5278] eta: 2:57:50 lr: 2.6522101633481468e-05 loss: 0.0501 (0.0622) loss_seg: 0.0554 (0.0669) loss_lansim: 0.0906 (0.0927) loss_contra: 0.0001 (0.0047) time: 2.6186 data: 0.0026 max mem: 31671 Epoch: [20] [1200/5278] eta: 2:57:22 lr: 2.6519814555342608e-05 loss: 0.0495 (0.0622) loss_seg: 0.0545 (0.0669) loss_lansim: 0.0914 (0.0929) loss_contra: 0.0001 (0.0047) time: 2.6130 data: 0.0026 max mem: 31671 Epoch: [20] [1210/5278] eta: 2:56:53 lr: 2.6517527455288156e-05 loss: 0.0492 (0.0623) loss_seg: 0.0534 (0.0670) loss_lansim: 0.0916 (0.0929) loss_contra: 0.0001 (0.0047) time: 2.5977 data: 0.0026 max mem: 31671 Epoch: [20] [1220/5278] eta: 2:56:27 lr: 2.6515240333315795e-05 loss: 0.0493 (0.0623) loss_seg: 0.0534 (0.0670) loss_lansim: 0.0916 (0.0929) loss_contra: 0.0001 (0.0046) time: 2.5964 data: 0.0026 max mem: 31671 Epoch: [20] [1230/5278] eta: 2:56:01 lr: 2.6512953189423228e-05 loss: 0.0493 (0.0624) loss_seg: 0.0534 (0.0671) loss_lansim: 0.0914 (0.0929) loss_contra: 0.0000 (0.0046) time: 2.6002 data: 0.0026 max mem: 31671 Epoch: [20] [1240/5278] eta: 2:55:34 lr: 2.6510666023608137e-05 loss: 0.0547 (0.0625) loss_seg: 0.0598 (0.0672) loss_lansim: 0.0919 (0.0929) loss_contra: 0.0001 (0.0046) time: 2.5957 data: 0.0026 max mem: 31671 Epoch: [20] [1250/5278] eta: 2:55:07 lr: 2.6508378835868218e-05 loss: 0.0495 (0.0624) loss_seg: 0.0545 (0.0672) loss_lansim: 0.0929 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5982 data: 0.0026 max mem: 31671 Epoch: [20] [1260/5278] eta: 2:54:41 lr: 2.6506091626201147e-05 loss: 0.0495 (0.0624) loss_seg: 0.0545 (0.0672) loss_lansim: 0.0929 (0.0929) loss_contra: 0.0001 (0.0046) time: 2.5895 data: 0.0026 max mem: 31671 Epoch: [20] [1270/5278] eta: 2:54:14 lr: 2.650380439460462e-05 loss: 0.0505 (0.0626) loss_seg: 0.0556 (0.0673) loss_lansim: 0.0929 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5824 data: 0.0026 max mem: 31671 Epoch: [20] [1280/5278] eta: 2:53:50 lr: 2.6501517141076316e-05 loss: 0.0505 (0.0625) loss_seg: 0.0555 (0.0672) loss_lansim: 0.0929 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5927 data: 0.0026 max mem: 31671 Epoch: [20] [1290/5278] eta: 2:53:26 lr: 2.6499229865613934e-05 loss: 0.0504 (0.0625) loss_seg: 0.0553 (0.0672) loss_lansim: 0.0929 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.6011 data: 0.0026 max mem: 31671 Epoch: [20] [1300/5278] eta: 2:52:59 lr: 2.6496942568215148e-05 loss: 0.0505 (0.0625) loss_seg: 0.0555 (0.0672) loss_lansim: 0.0919 (0.0930) loss_contra: 0.0001 (0.0045) time: 2.6014 data: 0.0026 max mem: 31671 Epoch: [20] [1310/5278] eta: 2:52:32 lr: 2.649465524887765e-05 loss: 0.0520 (0.0624) loss_seg: 0.0556 (0.0671) loss_lansim: 0.0919 (0.0930) loss_contra: 0.0001 (0.0044) time: 2.6091 data: 0.0026 max mem: 31671 Epoch: [20] [1320/5278] eta: 2:52:04 lr: 2.649236790759912e-05 loss: 0.0515 (0.0626) loss_seg: 0.0553 (0.0673) loss_lansim: 0.0919 (0.0931) loss_contra: 0.0001 (0.0044) time: 2.6006 data: 0.0026 max mem: 31671 Epoch: [20] [1330/5278] eta: 2:51:37 lr: 2.6490080544377248e-05 loss: 0.0504 (0.0626) loss_seg: 0.0532 (0.0673) loss_lansim: 0.0919 (0.0931) loss_contra: 0.0001 (0.0044) time: 2.5991 data: 0.0027 max mem: 31671 Epoch: [20] [1340/5278] eta: 2:51:10 lr: 2.6487793159209717e-05 loss: 0.0486 (0.0626) loss_seg: 0.0524 (0.0673) loss_lansim: 0.0916 (0.0930) loss_contra: 0.0001 (0.0044) time: 2.5970 data: 0.0027 max mem: 31671 Epoch: [20] [1350/5278] eta: 2:50:43 lr: 2.6485505752094204e-05 loss: 0.0520 (0.0626) loss_seg: 0.0555 (0.0673) loss_lansim: 0.0904 (0.0930) loss_contra: 0.0001 (0.0043) time: 2.5964 data: 0.0027 max mem: 31671 Epoch: [20] [1360/5278] eta: 2:50:17 lr: 2.64832183230284e-05 loss: 0.0520 (0.0626) loss_seg: 0.0556 (0.0673) loss_lansim: 0.0915 (0.0930) loss_contra: 0.0001 (0.0043) time: 2.5958 data: 0.0027 max mem: 31671 Epoch: [20] [1370/5278] eta: 2:49:50 lr: 2.6480930872009995e-05 loss: 0.0533 (0.0627) loss_seg: 0.0559 (0.0674) loss_lansim: 0.0919 (0.0931) loss_contra: 0.0001 (0.0043) time: 2.5955 data: 0.0027 max mem: 31671 Epoch: [20] [1380/5278] eta: 2:49:23 lr: 2.647864339903665e-05 loss: 0.0538 (0.0627) loss_seg: 0.0565 (0.0674) loss_lansim: 0.0923 (0.0931) loss_contra: 0.0001 (0.0043) time: 2.5858 data: 0.0027 max mem: 31671 Epoch: [20] [1390/5278] eta: 2:48:54 lr: 2.6476355904106064e-05 loss: 0.0551 (0.0627) loss_seg: 0.0591 (0.0675) loss_lansim: 0.0916 (0.0931) loss_contra: 0.0001 (0.0043) time: 2.5685 data: 0.0027 max mem: 31671 Epoch: [20] [1400/5278] eta: 2:48:29 lr: 2.647406838721591e-05 loss: 0.0551 (0.0627) loss_seg: 0.0599 (0.0675) loss_lansim: 0.0916 (0.0930) loss_contra: 0.0001 (0.0042) time: 2.5778 data: 0.0027 max mem: 31671 Epoch: [20] [1410/5278] eta: 2:48:02 lr: 2.647178084836388e-05 loss: 0.0551 (0.0627) loss_seg: 0.0607 (0.0675) loss_lansim: 0.0923 (0.0931) loss_contra: 0.0001 (0.0042) time: 2.5768 data: 0.0027 max mem: 31671 Epoch: [20] [1420/5278] eta: 2:47:37 lr: 2.6469493287547644e-05 loss: 0.0565 (0.0627) loss_seg: 0.0607 (0.0674) loss_lansim: 0.0908 (0.0930) loss_contra: 0.0001 (0.0042) time: 2.5877 data: 0.0027 max mem: 31671 Epoch: [20] [1430/5278] eta: 2:47:11 lr: 2.6467205704764873e-05 loss: 0.0554 (0.0627) loss_seg: 0.0591 (0.0674) loss_lansim: 0.0912 (0.0931) loss_contra: 0.0001 (0.0042) time: 2.5892 data: 0.0027 max mem: 31671 Epoch: [20] [1440/5278] eta: 2:46:45 lr: 2.646491810001327e-05 loss: 0.0551 (0.0626) loss_seg: 0.0579 (0.0674) loss_lansim: 0.0923 (0.0931) loss_contra: 0.0001 (0.0041) time: 2.5923 data: 0.0027 max mem: 31671 Epoch: [20] [1450/5278] eta: 2:46:17 lr: 2.64626304732905e-05 loss: 0.0521 (0.0626) loss_seg: 0.0559 (0.0673) loss_lansim: 0.0923 (0.0931) loss_contra: 0.0001 (0.0041) time: 2.5874 data: 0.0027 max mem: 31671 Epoch: [20] [1460/5278] eta: 2:45:51 lr: 2.646034282459424e-05 loss: 0.0550 (0.0627) loss_seg: 0.0563 (0.0674) loss_lansim: 0.0912 (0.0930) loss_contra: 0.0001 (0.0041) time: 2.5881 data: 0.0026 max mem: 31671 Epoch: [20] [1470/5278] eta: 2:45:24 lr: 2.6458055153922173e-05 loss: 0.0548 (0.0627) loss_seg: 0.0563 (0.0674) loss_lansim: 0.0899 (0.0930) loss_contra: 0.0001 (0.0041) time: 2.5869 data: 0.0026 max mem: 31671 Epoch: [20] [1480/5278] eta: 2:44:57 lr: 2.6455767461271973e-05 loss: 0.0521 (0.0627) loss_seg: 0.0558 (0.0675) loss_lansim: 0.0899 (0.0930) loss_contra: 0.0001 (0.0041) time: 2.5870 data: 0.0026 max mem: 31671 Epoch: [20] [1490/5278] eta: 2:44:31 lr: 2.6453479746641324e-05 loss: 0.0495 (0.0626) loss_seg: 0.0538 (0.0674) loss_lansim: 0.0910 (0.0931) loss_contra: 0.0001 (0.0041) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [20] [1500/5278] eta: 2:44:06 lr: 2.6451192010027898e-05 loss: 0.0495 (0.0626) loss_seg: 0.0535 (0.0674) loss_lansim: 0.0913 (0.0931) loss_contra: 0.0001 (0.0041) time: 2.5966 data: 0.0026 max mem: 31671 Epoch: [20] [1510/5278] eta: 2:43:40 lr: 2.6448904251429368e-05 loss: 0.0487 (0.0626) loss_seg: 0.0524 (0.0673) loss_lansim: 0.0912 (0.0931) loss_contra: 0.0001 (0.0041) time: 2.6022 data: 0.0025 max mem: 31671 Epoch: [20] [1520/5278] eta: 2:43:13 lr: 2.6446616470843412e-05 loss: 0.0487 (0.0626) loss_seg: 0.0524 (0.0673) loss_lansim: 0.0931 (0.0932) loss_contra: 0.0001 (0.0041) time: 2.5913 data: 0.0025 max mem: 31671 Epoch: [20] [1530/5278] eta: 2:42:46 lr: 2.6444328668267704e-05 loss: 0.0521 (0.0627) loss_seg: 0.0535 (0.0674) loss_lansim: 0.0923 (0.0932) loss_contra: 0.0001 (0.0041) time: 2.5919 data: 0.0025 max mem: 31671 Epoch: [20] [1540/5278] eta: 2:42:21 lr: 2.6442040843699935e-05 loss: 0.0521 (0.0626) loss_seg: 0.0533 (0.0673) loss_lansim: 0.0936 (0.0932) loss_contra: 0.0001 (0.0041) time: 2.5931 data: 0.0025 max mem: 31671 Epoch: [20] [1550/5278] eta: 2:41:54 lr: 2.6439752997137752e-05 loss: 0.0555 (0.0627) loss_seg: 0.0607 (0.0675) loss_lansim: 0.0943 (0.0932) loss_contra: 0.0001 (0.0042) time: 2.5989 data: 0.0025 max mem: 31671 Epoch: [20] [1560/5278] eta: 2:41:27 lr: 2.6437465128578842e-05 loss: 0.0555 (0.0629) loss_seg: 0.0607 (0.0676) loss_lansim: 0.0952 (0.0933) loss_contra: 0.0001 (0.0042) time: 2.5953 data: 0.0025 max mem: 31671 Epoch: [20] [1570/5278] eta: 2:40:59 lr: 2.643517723802088e-05 loss: 0.0532 (0.0628) loss_seg: 0.0587 (0.0676) loss_lansim: 0.0959 (0.0933) loss_contra: 0.0001 (0.0043) time: 2.5904 data: 0.0026 max mem: 31671 Epoch: [20] [1580/5278] eta: 2:40:33 lr: 2.643288932546154e-05 loss: 0.0532 (0.0629) loss_seg: 0.0587 (0.0677) loss_lansim: 0.0967 (0.0933) loss_contra: 0.0001 (0.0043) time: 2.5932 data: 0.0026 max mem: 31671 Epoch: [20] [1590/5278] eta: 2:40:07 lr: 2.6430601390898492e-05 loss: 0.0551 (0.0629) loss_seg: 0.0607 (0.0677) loss_lansim: 0.0967 (0.0934) loss_contra: 0.0001 (0.0043) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [20] [1600/5278] eta: 2:39:41 lr: 2.6428313434329406e-05 loss: 0.0549 (0.0629) loss_seg: 0.0603 (0.0677) loss_lansim: 0.0966 (0.0934) loss_contra: 0.0001 (0.0043) time: 2.5883 data: 0.0026 max mem: 31671 Epoch: [20] [1610/5278] eta: 2:39:13 lr: 2.6426025455751958e-05 loss: 0.0532 (0.0629) loss_seg: 0.0582 (0.0676) loss_lansim: 0.0971 (0.0934) loss_contra: 0.0001 (0.0043) time: 2.5791 data: 0.0027 max mem: 31671 Epoch: [20] [1620/5278] eta: 2:38:45 lr: 2.6423737455163817e-05 loss: 0.0528 (0.0628) loss_seg: 0.0537 (0.0676) loss_lansim: 0.0969 (0.0934) loss_contra: 0.0001 (0.0043) time: 2.5765 data: 0.0027 max mem: 31671 Epoch: [20] [1630/5278] eta: 2:38:20 lr: 2.642144943256265e-05 loss: 0.0528 (0.0629) loss_seg: 0.0537 (0.0677) loss_lansim: 0.0981 (0.0935) loss_contra: 0.0001 (0.0043) time: 2.5788 data: 0.0027 max mem: 31671 Epoch: [20] [1640/5278] eta: 2:37:52 lr: 2.6419161387946127e-05 loss: 0.0528 (0.0629) loss_seg: 0.0545 (0.0676) loss_lansim: 0.0981 (0.0935) loss_contra: 0.0002 (0.0043) time: 2.5712 data: 0.0027 max mem: 31671 Epoch: [20] [1650/5278] eta: 2:37:27 lr: 2.6416873321311924e-05 loss: 0.0490 (0.0629) loss_seg: 0.0520 (0.0676) loss_lansim: 0.0976 (0.0936) loss_contra: 0.0002 (0.0043) time: 2.5739 data: 0.0026 max mem: 31671 Epoch: [20] [1660/5278] eta: 2:37:00 lr: 2.6414585232657713e-05 loss: 0.0474 (0.0628) loss_seg: 0.0512 (0.0676) loss_lansim: 0.0991 (0.0937) loss_contra: 0.0002 (0.0043) time: 2.5730 data: 0.0026 max mem: 31671 Epoch: [20] [1670/5278] eta: 2:36:34 lr: 2.641229712198115e-05 loss: 0.0483 (0.0628) loss_seg: 0.0512 (0.0676) loss_lansim: 0.0988 (0.0937) loss_contra: 0.0002 (0.0043) time: 2.5814 data: 0.0026 max mem: 31671 Epoch: [20] [1680/5278] eta: 2:36:08 lr: 2.6410008989279904e-05 loss: 0.0463 (0.0627) loss_seg: 0.0496 (0.0675) loss_lansim: 0.0970 (0.0937) loss_contra: 0.0002 (0.0043) time: 2.5850 data: 0.0026 max mem: 31671 Epoch: [20] [1690/5278] eta: 2:35:41 lr: 2.640772083455166e-05 loss: 0.0463 (0.0626) loss_seg: 0.0506 (0.0674) loss_lansim: 0.0966 (0.0937) loss_contra: 0.0001 (0.0043) time: 2.5797 data: 0.0026 max mem: 31671 Epoch: [20] [1700/5278] eta: 2:35:15 lr: 2.640543265779407e-05 loss: 0.0483 (0.0625) loss_seg: 0.0512 (0.0673) loss_lansim: 0.0961 (0.0937) loss_contra: 0.0001 (0.0042) time: 2.5798 data: 0.0026 max mem: 31671 Epoch: [20] [1710/5278] eta: 2:34:49 lr: 2.64031444590048e-05 loss: 0.0485 (0.0627) loss_seg: 0.0526 (0.0675) loss_lansim: 0.0961 (0.0937) loss_contra: 0.0001 (0.0042) time: 2.5842 data: 0.0026 max mem: 31671 Epoch: [20] [1720/5278] eta: 2:34:23 lr: 2.6400856238181527e-05 loss: 0.0483 (0.0627) loss_seg: 0.0526 (0.0674) loss_lansim: 0.0966 (0.0937) loss_contra: 0.0001 (0.0042) time: 2.5925 data: 0.0026 max mem: 31671 Epoch: [20] [1730/5278] eta: 2:33:58 lr: 2.6398567995321906e-05 loss: 0.0482 (0.0626) loss_seg: 0.0515 (0.0674) loss_lansim: 0.0952 (0.0937) loss_contra: 0.0001 (0.0042) time: 2.5959 data: 0.0026 max mem: 31671 Epoch: [20] [1740/5278] eta: 2:33:32 lr: 2.6396279730423608e-05 loss: 0.0482 (0.0628) loss_seg: 0.0515 (0.0675) loss_lansim: 0.0953 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.6028 data: 0.0026 max mem: 31671 Epoch: [20] [1750/5278] eta: 2:33:05 lr: 2.63939914434843e-05 loss: 0.0481 (0.0628) loss_seg: 0.0515 (0.0676) loss_lansim: 0.0951 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.5991 data: 0.0027 max mem: 31671 Epoch: [20] [1760/5278] eta: 2:32:38 lr: 2.6391703134501644e-05 loss: 0.0487 (0.0628) loss_seg: 0.0531 (0.0676) loss_lansim: 0.0951 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.5971 data: 0.0027 max mem: 31671 Epoch: [20] [1770/5278] eta: 2:32:11 lr: 2.63894148034733e-05 loss: 0.0487 (0.0628) loss_seg: 0.0533 (0.0676) loss_lansim: 0.0955 (0.0939) loss_contra: 0.0001 (0.0041) time: 2.5944 data: 0.0027 max mem: 31671 Epoch: [20] [1780/5278] eta: 2:31:43 lr: 2.6387126450396933e-05 loss: 0.0524 (0.0630) loss_seg: 0.0542 (0.0678) loss_lansim: 0.0964 (0.0939) loss_contra: 0.0001 (0.0042) time: 2.5807 data: 0.0027 max mem: 31671 Epoch: [20] [1790/5278] eta: 2:31:17 lr: 2.638483807527022e-05 loss: 0.0525 (0.0630) loss_seg: 0.0569 (0.0678) loss_lansim: 0.0973 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5854 data: 0.0027 max mem: 31671 Epoch: [20] [1800/5278] eta: 2:30:51 lr: 2.6382549678090797e-05 loss: 0.0529 (0.0630) loss_seg: 0.0577 (0.0678) loss_lansim: 0.0973 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5837 data: 0.0027 max mem: 31671 Epoch: [20] [1810/5278] eta: 2:30:24 lr: 2.6380261258856347e-05 loss: 0.0529 (0.0630) loss_seg: 0.0575 (0.0677) loss_lansim: 0.0970 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5811 data: 0.0027 max mem: 31671 Epoch: [20] [1820/5278] eta: 2:29:57 lr: 2.6377972817564523e-05 loss: 0.0529 (0.0629) loss_seg: 0.0577 (0.0677) loss_lansim: 0.0974 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5749 data: 0.0027 max mem: 31671 Epoch: [20] [1830/5278] eta: 2:29:32 lr: 2.6375684354212992e-05 loss: 0.0547 (0.0629) loss_seg: 0.0585 (0.0677) loss_lansim: 0.0982 (0.0941) loss_contra: 0.0001 (0.0043) time: 2.5765 data: 0.0027 max mem: 31671 Epoch: [20] [1840/5278] eta: 2:29:07 lr: 2.637339586879941e-05 loss: 0.0547 (0.0630) loss_seg: 0.0584 (0.0677) loss_lansim: 0.0982 (0.0941) loss_contra: 0.0001 (0.0043) time: 2.5792 data: 0.0027 max mem: 31671 Epoch: [20] [1850/5278] eta: 2:28:42 lr: 2.6371107361321434e-05 loss: 0.0531 (0.0630) loss_seg: 0.0577 (0.0678) loss_lansim: 0.0986 (0.0941) loss_contra: 0.0001 (0.0043) time: 2.5898 data: 0.0026 max mem: 31671 Epoch: [20] [1860/5278] eta: 2:28:15 lr: 2.6368818831776732e-05 loss: 0.0537 (0.0630) loss_seg: 0.0577 (0.0678) loss_lansim: 0.0986 (0.0941) loss_contra: 0.0001 (0.0044) time: 2.5865 data: 0.0026 max mem: 31671 Epoch: [20] [1870/5278] eta: 2:27:49 lr: 2.636653028016296e-05 loss: 0.0539 (0.0630) loss_seg: 0.0590 (0.0678) loss_lansim: 0.0970 (0.0941) loss_contra: 0.0001 (0.0044) time: 2.5910 data: 0.0026 max mem: 31671 Epoch: [20] [1880/5278] eta: 2:27:22 lr: 2.636424170647777e-05 loss: 0.0517 (0.0629) loss_seg: 0.0565 (0.0677) loss_lansim: 0.0977 (0.0941) loss_contra: 0.0001 (0.0044) time: 2.5972 data: 0.0026 max mem: 31671 Epoch: [20] [1890/5278] eta: 2:26:56 lr: 2.6361953110718835e-05 loss: 0.0516 (0.0630) loss_seg: 0.0561 (0.0677) loss_lansim: 0.0977 (0.0942) loss_contra: 0.0001 (0.0045) time: 2.5989 data: 0.0026 max mem: 31671 Epoch: [20] [1900/5278] eta: 2:26:31 lr: 2.6359664492883796e-05 loss: 0.0492 (0.0629) loss_seg: 0.0517 (0.0677) loss_lansim: 0.0970 (0.0942) loss_contra: 0.0000 (0.0045) time: 2.6059 data: 0.0026 max mem: 31671 Epoch: [20] [1910/5278] eta: 2:26:05 lr: 2.6357375852970324e-05 loss: 0.0509 (0.0629) loss_seg: 0.0555 (0.0677) loss_lansim: 0.0977 (0.0942) loss_contra: 0.0000 (0.0044) time: 2.6081 data: 0.0026 max mem: 31671 Epoch: [20] [1920/5278] eta: 2:25:40 lr: 2.635508719097607e-05 loss: 0.0514 (0.0631) loss_seg: 0.0565 (0.0679) loss_lansim: 0.0970 (0.0942) loss_contra: 0.0000 (0.0044) time: 2.6221 data: 0.0026 max mem: 31671 Epoch: [20] [1930/5278] eta: 2:25:14 lr: 2.6352798506898686e-05 loss: 0.0514 (0.0631) loss_seg: 0.0561 (0.0679) loss_lansim: 0.0969 (0.0942) loss_contra: 0.0000 (0.0044) time: 2.6159 data: 0.0026 max mem: 31671 Epoch: [20] [1940/5278] eta: 2:24:49 lr: 2.635050980073583e-05 loss: 0.0521 (0.0632) loss_seg: 0.0569 (0.0680) loss_lansim: 0.0966 (0.0942) loss_contra: 0.0000 (0.0044) time: 2.6182 data: 0.0026 max mem: 31671 Epoch: [20] [1950/5278] eta: 2:24:24 lr: 2.6348221072485163e-05 loss: 0.0528 (0.0632) loss_seg: 0.0574 (0.0680) loss_lansim: 0.0958 (0.0942) loss_contra: 0.0001 (0.0044) time: 2.6132 data: 0.0026 max mem: 31671 Epoch: [20] [1960/5278] eta: 2:23:58 lr: 2.634593232214434e-05 loss: 0.0503 (0.0631) loss_seg: 0.0524 (0.0679) loss_lansim: 0.0966 (0.0942) loss_contra: 0.0000 (0.0044) time: 2.6256 data: 0.0026 max mem: 31671 Epoch: [20] [1970/5278] eta: 2:23:32 lr: 2.634364354971101e-05 loss: 0.0517 (0.0631) loss_seg: 0.0533 (0.0679) loss_lansim: 0.0973 (0.0943) loss_contra: 0.0001 (0.0044) time: 2.6248 data: 0.0026 max mem: 31671 Epoch: [20] [1980/5278] eta: 2:23:07 lr: 2.6341354755182828e-05 loss: 0.0528 (0.0631) loss_seg: 0.0574 (0.0679) loss_lansim: 0.0967 (0.0943) loss_contra: 0.0000 (0.0043) time: 2.6318 data: 0.0026 max mem: 31671 Epoch: [20] [1990/5278] eta: 2:22:40 lr: 2.633906593855745e-05 loss: 0.0539 (0.0633) loss_seg: 0.0584 (0.0682) loss_lansim: 0.0966 (0.0943) loss_contra: 0.0000 (0.0043) time: 2.6245 data: 0.0026 max mem: 31671 Epoch: [20] [2000/5278] eta: 2:22:13 lr: 2.6336777099832532e-05 loss: 0.0555 (0.0633) loss_seg: 0.0606 (0.0681) loss_lansim: 0.0967 (0.0943) loss_contra: 0.0000 (0.0043) time: 2.6161 data: 0.0026 max mem: 31671 Epoch: [20] [2010/5278] eta: 2:21:47 lr: 2.6334488239005722e-05 loss: 0.0539 (0.0634) loss_seg: 0.0584 (0.0682) loss_lansim: 0.0946 (0.0943) loss_contra: 0.0001 (0.0043) time: 2.6178 data: 0.0026 max mem: 31671 Epoch: [20] [2020/5278] eta: 2:21:22 lr: 2.6332199356074666e-05 loss: 0.0539 (0.0634) loss_seg: 0.0584 (0.0682) loss_lansim: 0.0954 (0.0943) loss_contra: 0.0001 (0.0043) time: 2.6168 data: 0.0026 max mem: 31671 Epoch: [20] [2030/5278] eta: 2:20:56 lr: 2.6329910451037026e-05 loss: 0.0530 (0.0633) loss_seg: 0.0579 (0.0682) loss_lansim: 0.0956 (0.0944) loss_contra: 0.0000 (0.0043) time: 2.6176 data: 0.0026 max mem: 31671 Epoch: [20] [2040/5278] eta: 2:20:31 lr: 2.6327621523890456e-05 loss: 0.0520 (0.0633) loss_seg: 0.0541 (0.0681) loss_lansim: 0.0958 (0.0943) loss_contra: 0.0000 (0.0043) time: 2.6167 data: 0.0025 max mem: 31671 Epoch: [20] [2050/5278] eta: 2:20:04 lr: 2.6325332574632587e-05 loss: 0.0520 (0.0633) loss_seg: 0.0541 (0.0681) loss_lansim: 0.0958 (0.0944) loss_contra: 0.0000 (0.0043) time: 2.6069 data: 0.0025 max mem: 31671 Epoch: [20] [2060/5278] eta: 2:19:38 lr: 2.632304360326109e-05 loss: 0.0525 (0.0633) loss_seg: 0.0579 (0.0681) loss_lansim: 0.0955 (0.0944) loss_contra: 0.0000 (0.0043) time: 2.6015 data: 0.0025 max mem: 31671 Epoch: [20] [2070/5278] eta: 2:19:12 lr: 2.6320754609773606e-05 loss: 0.0512 (0.0632) loss_seg: 0.0541 (0.0680) loss_lansim: 0.0939 (0.0944) loss_contra: 0.0000 (0.0044) time: 2.6033 data: 0.0025 max mem: 31671 Epoch: [20] [2080/5278] eta: 2:18:46 lr: 2.631846559416779e-05 loss: 0.0520 (0.0632) loss_seg: 0.0562 (0.0681) loss_lansim: 0.0940 (0.0944) loss_contra: 0.0000 (0.0044) time: 2.6020 data: 0.0025 max mem: 31671 Epoch: [20] [2090/5278] eta: 2:18:21 lr: 2.631617655644128e-05 loss: 0.0502 (0.0632) loss_seg: 0.0528 (0.0680) loss_lansim: 0.0940 (0.0944) loss_contra: 0.0000 (0.0043) time: 2.6107 data: 0.0025 max mem: 31671 Epoch: [20] [2100/5278] eta: 2:17:55 lr: 2.6313887496591727e-05 loss: 0.0481 (0.0632) loss_seg: 0.0526 (0.0680) loss_lansim: 0.0940 (0.0944) loss_contra: 0.0001 (0.0043) time: 2.6172 data: 0.0025 max mem: 31671 Epoch: [20] [2110/5278] eta: 2:17:28 lr: 2.631159841461679e-05 loss: 0.0474 (0.0631) loss_seg: 0.0520 (0.0679) loss_lansim: 0.0946 (0.0945) loss_contra: 0.0000 (0.0043) time: 2.6130 data: 0.0025 max mem: 31671 Epoch: [20] [2120/5278] eta: 2:17:01 lr: 2.6309309310514107e-05 loss: 0.0474 (0.0631) loss_seg: 0.0520 (0.0679) loss_lansim: 0.0945 (0.0945) loss_contra: 0.0001 (0.0043) time: 2.5973 data: 0.0025 max mem: 31671 Epoch: [20] [2130/5278] eta: 2:16:34 lr: 2.6307020184281324e-05 loss: 0.0481 (0.0630) loss_seg: 0.0526 (0.0678) loss_lansim: 0.0942 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5916 data: 0.0025 max mem: 31671 Epoch: [20] [2140/5278] eta: 2:16:08 lr: 2.6304731035916085e-05 loss: 0.0482 (0.0630) loss_seg: 0.0526 (0.0678) loss_lansim: 0.0942 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.5864 data: 0.0025 max mem: 31671 Epoch: [20] [2150/5278] eta: 2:15:42 lr: 2.630244186541605e-05 loss: 0.0482 (0.0630) loss_seg: 0.0526 (0.0678) loss_lansim: 0.0945 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.5929 data: 0.0025 max mem: 31671 Epoch: [20] [2160/5278] eta: 2:15:17 lr: 2.6300152672778854e-05 loss: 0.0482 (0.0629) loss_seg: 0.0521 (0.0677) loss_lansim: 0.0942 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.6026 data: 0.0025 max mem: 31671 Epoch: [20] [2170/5278] eta: 2:14:52 lr: 2.6297863458002136e-05 loss: 0.0496 (0.0629) loss_seg: 0.0526 (0.0676) loss_lansim: 0.0960 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.6066 data: 0.0025 max mem: 31671 Epoch: [20] [2180/5278] eta: 2:14:27 lr: 2.6295574221083553e-05 loss: 0.0502 (0.0629) loss_seg: 0.0550 (0.0677) loss_lansim: 0.0956 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.6110 data: 0.0025 max mem: 31671 Epoch: [20] [2190/5278] eta: 2:14:01 lr: 2.6293284962020737e-05 loss: 0.0507 (0.0629) loss_seg: 0.0551 (0.0677) loss_lansim: 0.0946 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.6089 data: 0.0025 max mem: 31671 Epoch: [20] [2200/5278] eta: 2:13:34 lr: 2.6290995680811343e-05 loss: 0.0476 (0.0628) loss_seg: 0.0516 (0.0676) loss_lansim: 0.0942 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.6022 data: 0.0025 max mem: 31671 Epoch: [20] [2210/5278] eta: 2:13:08 lr: 2.6288706377453014e-05 loss: 0.0503 (0.0629) loss_seg: 0.0538 (0.0676) loss_lansim: 0.0949 (0.0945) loss_contra: 0.0002 (0.0045) time: 2.6048 data: 0.0025 max mem: 31671 Epoch: [20] [2220/5278] eta: 2:12:42 lr: 2.628641705194338e-05 loss: 0.0503 (0.0629) loss_seg: 0.0543 (0.0676) loss_lansim: 0.0941 (0.0945) loss_contra: 0.0002 (0.0045) time: 2.6170 data: 0.0025 max mem: 31671 Epoch: [20] [2230/5278] eta: 2:12:16 lr: 2.628412770428009e-05 loss: 0.0512 (0.0630) loss_seg: 0.0556 (0.0677) loss_lansim: 0.0951 (0.0946) loss_contra: 0.0002 (0.0046) time: 2.6165 data: 0.0026 max mem: 31671 Epoch: [20] [2240/5278] eta: 2:11:50 lr: 2.628183833446079e-05 loss: 0.0515 (0.0630) loss_seg: 0.0564 (0.0678) loss_lansim: 0.0951 (0.0946) loss_contra: 0.0002 (0.0046) time: 2.6219 data: 0.0026 max mem: 31671 Epoch: [20] [2250/5278] eta: 2:11:24 lr: 2.6279548942483124e-05 loss: 0.0519 (0.0631) loss_seg: 0.0572 (0.0678) loss_lansim: 0.0951 (0.0946) loss_contra: 0.0002 (0.0045) time: 2.6192 data: 0.0026 max mem: 31671 Epoch: [20] [2260/5278] eta: 2:10:58 lr: 2.6277259528344717e-05 loss: 0.0538 (0.0631) loss_seg: 0.0592 (0.0679) loss_lansim: 0.0954 (0.0946) loss_contra: 0.0002 (0.0045) time: 2.6121 data: 0.0026 max mem: 31671 Epoch: [20] [2270/5278] eta: 2:10:32 lr: 2.6274970092043218e-05 loss: 0.0533 (0.0630) loss_seg: 0.0585 (0.0678) loss_lansim: 0.0940 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.6028 data: 0.0026 max mem: 31671 Epoch: [20] [2280/5278] eta: 2:10:06 lr: 2.627268063357627e-05 loss: 0.0539 (0.0631) loss_seg: 0.0595 (0.0679) loss_lansim: 0.0940 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5993 data: 0.0026 max mem: 31671 Epoch: [20] [2290/5278] eta: 2:09:41 lr: 2.627039115294151e-05 loss: 0.0519 (0.0630) loss_seg: 0.0572 (0.0678) loss_lansim: 0.0951 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.6057 data: 0.0025 max mem: 31671 Epoch: [20] [2300/5278] eta: 2:09:15 lr: 2.6268101650136574e-05 loss: 0.0538 (0.0629) loss_seg: 0.0593 (0.0677) loss_lansim: 0.0950 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.6138 data: 0.0025 max mem: 31671 Epoch: [20] [2310/5278] eta: 2:08:49 lr: 2.6265812125159094e-05 loss: 0.0539 (0.0629) loss_seg: 0.0594 (0.0677) loss_lansim: 0.0943 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.6166 data: 0.0025 max mem: 31671 Epoch: [20] [2320/5278] eta: 2:08:22 lr: 2.6263522578006722e-05 loss: 0.0539 (0.0629) loss_seg: 0.0594 (0.0676) loss_lansim: 0.0950 (0.0946) loss_contra: 0.0001 (0.0046) time: 2.6060 data: 0.0026 max mem: 31671 Epoch: [20] [2330/5278] eta: 2:07:55 lr: 2.62612330086771e-05 loss: 0.0538 (0.0629) loss_seg: 0.0593 (0.0677) loss_lansim: 0.0931 (0.0946) loss_contra: 0.0001 (0.0047) time: 2.6045 data: 0.0025 max mem: 31671 Epoch: [20] [2340/5278] eta: 2:07:29 lr: 2.625894341716784e-05 loss: 0.0519 (0.0629) loss_seg: 0.0572 (0.0676) loss_lansim: 0.0922 (0.0946) loss_contra: 0.0001 (0.0047) time: 2.5995 data: 0.0025 max mem: 31671 Epoch: [20] [2350/5278] eta: 2:07:04 lr: 2.6256653803476596e-05 loss: 0.0483 (0.0628) loss_seg: 0.0526 (0.0676) loss_lansim: 0.0917 (0.0946) loss_contra: 0.0001 (0.0046) time: 2.6037 data: 0.0026 max mem: 31671 Epoch: [20] [2360/5278] eta: 2:06:38 lr: 2.6254364167601e-05 loss: 0.0482 (0.0628) loss_seg: 0.0517 (0.0675) loss_lansim: 0.0917 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.6065 data: 0.0025 max mem: 31671 Epoch: [20] [2370/5278] eta: 2:06:11 lr: 2.6252074509538688e-05 loss: 0.0509 (0.0627) loss_seg: 0.0528 (0.0674) loss_lansim: 0.0933 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.6062 data: 0.0026 max mem: 31671 Epoch: [20] [2380/5278] eta: 2:05:44 lr: 2.6249784829287296e-05 loss: 0.0490 (0.0627) loss_seg: 0.0521 (0.0674) loss_lansim: 0.0935 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.5965 data: 0.0026 max mem: 31671 Epoch: [20] [2390/5278] eta: 2:05:19 lr: 2.624749512684445e-05 loss: 0.0517 (0.0627) loss_seg: 0.0546 (0.0674) loss_lansim: 0.0938 (0.0946) loss_contra: 0.0001 (0.0046) time: 2.5939 data: 0.0026 max mem: 31671 Epoch: [20] [2400/5278] eta: 2:04:53 lr: 2.6245205402207796e-05 loss: 0.0523 (0.0627) loss_seg: 0.0550 (0.0675) loss_lansim: 0.0942 (0.0946) loss_contra: 0.0001 (0.0046) time: 2.5875 data: 0.0026 max mem: 31671 Epoch: [20] [2410/5278] eta: 2:04:27 lr: 2.6242915655374965e-05 loss: 0.0509 (0.0627) loss_seg: 0.0526 (0.0674) loss_lansim: 0.0938 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.5871 data: 0.0026 max mem: 31671 Epoch: [20] [2420/5278] eta: 2:04:02 lr: 2.624062588634358e-05 loss: 0.0509 (0.0627) loss_seg: 0.0539 (0.0675) loss_lansim: 0.0939 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.6018 data: 0.0026 max mem: 31671 Epoch: [20] [2430/5278] eta: 2:03:36 lr: 2.623833609511128e-05 loss: 0.0509 (0.0627) loss_seg: 0.0526 (0.0674) loss_lansim: 0.0939 (0.0945) loss_contra: 0.0001 (0.0046) time: 2.6112 data: 0.0026 max mem: 31671 Epoch: [20] [2440/5278] eta: 2:03:10 lr: 2.6236046281675704e-05 loss: 0.0499 (0.0626) loss_seg: 0.0516 (0.0673) loss_lansim: 0.0942 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.6108 data: 0.0026 max mem: 31671 Epoch: [20] [2450/5278] eta: 2:02:43 lr: 2.6233756446034468e-05 loss: 0.0503 (0.0626) loss_seg: 0.0536 (0.0674) loss_lansim: 0.0942 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.6018 data: 0.0025 max mem: 31671 Epoch: [20] [2460/5278] eta: 2:02:16 lr: 2.6231466588185223e-05 loss: 0.0498 (0.0626) loss_seg: 0.0519 (0.0673) loss_lansim: 0.0939 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5933 data: 0.0025 max mem: 31671 Epoch: [20] [2470/5278] eta: 2:01:49 lr: 2.622917670812558e-05 loss: 0.0496 (0.0625) loss_seg: 0.0519 (0.0672) loss_lansim: 0.0942 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5888 data: 0.0025 max mem: 31671 Epoch: [20] [2480/5278] eta: 2:01:23 lr: 2.622688680585318e-05 loss: 0.0495 (0.0625) loss_seg: 0.0512 (0.0672) loss_lansim: 0.0940 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5966 data: 0.0025 max mem: 31671 Epoch: [20] [2490/5278] eta: 2:00:57 lr: 2.6224596881365648e-05 loss: 0.0495 (0.0625) loss_seg: 0.0519 (0.0673) loss_lansim: 0.0934 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5895 data: 0.0025 max mem: 31671 Epoch: [20] [2500/5278] eta: 2:00:31 lr: 2.6222306934660624e-05 loss: 0.0495 (0.0625) loss_seg: 0.0524 (0.0673) loss_lansim: 0.0940 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.5913 data: 0.0025 max mem: 31671 Epoch: [20] [2510/5278] eta: 2:00:05 lr: 2.6220016965735718e-05 loss: 0.0499 (0.0625) loss_seg: 0.0536 (0.0672) loss_lansim: 0.0937 (0.0945) loss_contra: 0.0001 (0.0044) time: 2.5877 data: 0.0025 max mem: 31671 Epoch: [20] [2520/5278] eta: 1:59:37 lr: 2.621772697458857e-05 loss: 0.0498 (0.0625) loss_seg: 0.0533 (0.0672) loss_lansim: 0.0937 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5675 data: 0.0025 max mem: 31671 Epoch: [20] [2530/5278] eta: 1:59:10 lr: 2.6215436961216805e-05 loss: 0.0496 (0.0624) loss_seg: 0.0536 (0.0671) loss_lansim: 0.0937 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [20] [2540/5278] eta: 1:58:43 lr: 2.6213146925618052e-05 loss: 0.0505 (0.0625) loss_seg: 0.0547 (0.0672) loss_lansim: 0.0928 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5454 data: 0.0025 max mem: 31671 Epoch: [20] [2550/5278] eta: 1:58:17 lr: 2.621085686778994e-05 loss: 0.0505 (0.0625) loss_seg: 0.0545 (0.0672) loss_lansim: 0.0937 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [20] [2560/5278] eta: 1:57:49 lr: 2.6208566787730082e-05 loss: 0.0519 (0.0625) loss_seg: 0.0550 (0.0672) loss_lansim: 0.0940 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [20] [2570/5278] eta: 1:57:22 lr: 2.620627668543612e-05 loss: 0.0529 (0.0625) loss_seg: 0.0550 (0.0672) loss_lansim: 0.0936 (0.0945) loss_contra: 0.0002 (0.0045) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [20] [2580/5278] eta: 1:56:56 lr: 2.6203986560905675e-05 loss: 0.0539 (0.0624) loss_seg: 0.0555 (0.0671) loss_lansim: 0.0926 (0.0945) loss_contra: 0.0001 (0.0045) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [20] [2590/5278] eta: 1:56:29 lr: 2.6201696414136362e-05 loss: 0.0510 (0.0624) loss_seg: 0.0547 (0.0671) loss_lansim: 0.0922 (0.0944) loss_contra: 0.0001 (0.0045) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [20] [2600/5278] eta: 1:56:03 lr: 2.6199406245125817e-05 loss: 0.0513 (0.0623) loss_seg: 0.0547 (0.0670) loss_lansim: 0.0903 (0.0944) loss_contra: 0.0001 (0.0045) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [20] [2610/5278] eta: 1:55:36 lr: 2.6197116053871655e-05 loss: 0.0529 (0.0624) loss_seg: 0.0555 (0.0671) loss_lansim: 0.0903 (0.0944) loss_contra: 0.0001 (0.0045) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [20] [2620/5278] eta: 1:55:10 lr: 2.619482584037151e-05 loss: 0.0529 (0.0624) loss_seg: 0.0555 (0.0671) loss_lansim: 0.0888 (0.0944) loss_contra: 0.0001 (0.0045) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [20] [2630/5278] eta: 1:54:44 lr: 2.6192535604622993e-05 loss: 0.0557 (0.0624) loss_seg: 0.0583 (0.0671) loss_lansim: 0.0887 (0.0943) loss_contra: 0.0001 (0.0045) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [20] [2640/5278] eta: 1:54:19 lr: 2.6190245346623733e-05 loss: 0.0558 (0.0625) loss_seg: 0.0584 (0.0672) loss_lansim: 0.0885 (0.0943) loss_contra: 0.0000 (0.0045) time: 2.5622 data: 0.0026 max mem: 31671 Epoch: [20] [2650/5278] eta: 1:53:52 lr: 2.618795506637135e-05 loss: 0.0529 (0.0624) loss_seg: 0.0567 (0.0670) loss_lansim: 0.0882 (0.0943) loss_contra: 0.0001 (0.0045) time: 2.5543 data: 0.0026 max mem: 31671 Epoch: [20] [2660/5278] eta: 1:53:26 lr: 2.618566476386347e-05 loss: 0.0529 (0.0624) loss_seg: 0.0550 (0.0670) loss_lansim: 0.0880 (0.0943) loss_contra: 0.0001 (0.0045) time: 2.5716 data: 0.0026 max mem: 31671 Epoch: [20] [2670/5278] eta: 1:53:00 lr: 2.6183374439097702e-05 loss: 0.0540 (0.0624) loss_seg: 0.0582 (0.0671) loss_lansim: 0.0877 (0.0943) loss_contra: 0.0001 (0.0045) time: 2.5806 data: 0.0026 max mem: 31671 Epoch: [20] [2680/5278] eta: 1:52:34 lr: 2.6181084092071677e-05 loss: 0.0542 (0.0624) loss_seg: 0.0586 (0.0671) loss_lansim: 0.0879 (0.0943) loss_contra: 0.0001 (0.0045) time: 2.5866 data: 0.0026 max mem: 31671 Epoch: [20] [2690/5278] eta: 1:52:09 lr: 2.6178793722783014e-05 loss: 0.0551 (0.0624) loss_seg: 0.0591 (0.0670) loss_lansim: 0.0879 (0.0942) loss_contra: 0.0001 (0.0045) time: 2.5962 data: 0.0026 max mem: 31671 Epoch: [20] [2700/5278] eta: 1:51:42 lr: 2.6176503331229324e-05 loss: 0.0542 (0.0624) loss_seg: 0.0591 (0.0670) loss_lansim: 0.0882 (0.0942) loss_contra: 0.0001 (0.0045) time: 2.5972 data: 0.0026 max mem: 31671 Epoch: [20] [2710/5278] eta: 1:51:16 lr: 2.6174212917408243e-05 loss: 0.0531 (0.0623) loss_seg: 0.0582 (0.0670) loss_lansim: 0.0886 (0.0942) loss_contra: 0.0001 (0.0045) time: 2.5994 data: 0.0026 max mem: 31671 Epoch: [20] [2720/5278] eta: 1:50:50 lr: 2.6171922481317368e-05 loss: 0.0535 (0.0623) loss_seg: 0.0585 (0.0670) loss_lansim: 0.0883 (0.0942) loss_contra: 0.0001 (0.0045) time: 2.5965 data: 0.0026 max mem: 31671 Epoch: [20] [2730/5278] eta: 1:50:24 lr: 2.6169632022954334e-05 loss: 0.0527 (0.0623) loss_seg: 0.0545 (0.0670) loss_lansim: 0.0883 (0.0942) loss_contra: 0.0001 (0.0045) time: 2.5957 data: 0.0026 max mem: 31671 Epoch: [20] [2740/5278] eta: 1:49:57 lr: 2.616734154231675e-05 loss: 0.0470 (0.0622) loss_seg: 0.0515 (0.0669) loss_lansim: 0.0883 (0.0942) loss_contra: 0.0001 (0.0045) time: 2.5833 data: 0.0025 max mem: 31671 Epoch: [20] [2750/5278] eta: 1:49:31 lr: 2.6165051039402232e-05 loss: 0.0540 (0.0623) loss_seg: 0.0590 (0.0670) loss_lansim: 0.0879 (0.0942) loss_contra: 0.0001 (0.0045) time: 2.5895 data: 0.0025 max mem: 31671 Epoch: [20] [2760/5278] eta: 1:49:05 lr: 2.61627605142084e-05 loss: 0.0535 (0.0625) loss_seg: 0.0590 (0.0671) loss_lansim: 0.0867 (0.0941) loss_contra: 0.0001 (0.0044) time: 2.5869 data: 0.0025 max mem: 31671 Epoch: [20] [2770/5278] eta: 1:48:38 lr: 2.6160469966732872e-05 loss: 0.0526 (0.0624) loss_seg: 0.0559 (0.0671) loss_lansim: 0.0866 (0.0941) loss_contra: 0.0001 (0.0044) time: 2.5824 data: 0.0025 max mem: 31671 Epoch: [20] [2780/5278] eta: 1:48:12 lr: 2.615817939697326e-05 loss: 0.0514 (0.0624) loss_seg: 0.0546 (0.0671) loss_lansim: 0.0864 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5716 data: 0.0025 max mem: 31671 Epoch: [20] [2790/5278] eta: 1:47:46 lr: 2.6155888804927182e-05 loss: 0.0526 (0.0624) loss_seg: 0.0559 (0.0671) loss_lansim: 0.0866 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5724 data: 0.0025 max mem: 31671 Epoch: [20] [2800/5278] eta: 1:47:20 lr: 2.615359819059225e-05 loss: 0.0523 (0.0623) loss_seg: 0.0546 (0.0670) loss_lansim: 0.0866 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5771 data: 0.0025 max mem: 31671 Epoch: [20] [2810/5278] eta: 1:46:54 lr: 2.615130755396607e-05 loss: 0.0526 (0.0623) loss_seg: 0.0559 (0.0670) loss_lansim: 0.0866 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5748 data: 0.0025 max mem: 31671 Epoch: [20] [2820/5278] eta: 1:46:28 lr: 2.6149016895046275e-05 loss: 0.0524 (0.0624) loss_seg: 0.0550 (0.0671) loss_lansim: 0.0868 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5769 data: 0.0025 max mem: 31671 Epoch: [20] [2830/5278] eta: 1:46:02 lr: 2.6146726213830465e-05 loss: 0.0506 (0.0623) loss_seg: 0.0538 (0.0670) loss_lansim: 0.0876 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5792 data: 0.0025 max mem: 31671 Epoch: [20] [2840/5278] eta: 1:45:36 lr: 2.6144435510316252e-05 loss: 0.0512 (0.0623) loss_seg: 0.0541 (0.0670) loss_lansim: 0.0895 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5887 data: 0.0025 max mem: 31671 Epoch: [20] [2850/5278] eta: 1:45:10 lr: 2.614214478450125e-05 loss: 0.0506 (0.0624) loss_seg: 0.0540 (0.0670) loss_lansim: 0.0895 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5900 data: 0.0026 max mem: 31671 Epoch: [20] [2860/5278] eta: 1:44:44 lr: 2.613985403638307e-05 loss: 0.0514 (0.0624) loss_seg: 0.0538 (0.0670) loss_lansim: 0.0895 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5947 data: 0.0026 max mem: 31671 Epoch: [20] [2870/5278] eta: 1:44:19 lr: 2.613756326595933e-05 loss: 0.0492 (0.0623) loss_seg: 0.0530 (0.0670) loss_lansim: 0.0902 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.6035 data: 0.0026 max mem: 31671 Epoch: [20] [2880/5278] eta: 1:43:53 lr: 2.6135272473227628e-05 loss: 0.0490 (0.0623) loss_seg: 0.0520 (0.0669) loss_lansim: 0.0902 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.6072 data: 0.0026 max mem: 31671 Epoch: [20] [2890/5278] eta: 1:43:26 lr: 2.613298165818559e-05 loss: 0.0492 (0.0623) loss_seg: 0.0530 (0.0669) loss_lansim: 0.0903 (0.0940) loss_contra: 0.0001 (0.0044) time: 2.5946 data: 0.0026 max mem: 31671 Epoch: [20] [2900/5278] eta: 1:43:00 lr: 2.613069082083081e-05 loss: 0.0497 (0.0622) loss_seg: 0.0541 (0.0669) loss_lansim: 0.0876 (0.0939) loss_contra: 0.0000 (0.0044) time: 2.5933 data: 0.0026 max mem: 31671 Epoch: [20] [2910/5278] eta: 1:42:34 lr: 2.612839996116091e-05 loss: 0.0497 (0.0623) loss_seg: 0.0541 (0.0669) loss_lansim: 0.0872 (0.0939) loss_contra: 0.0001 (0.0044) time: 2.5976 data: 0.0026 max mem: 31671 Epoch: [20] [2920/5278] eta: 1:42:08 lr: 2.612610907917349e-05 loss: 0.0497 (0.0622) loss_seg: 0.0541 (0.0669) loss_lansim: 0.0876 (0.0939) loss_contra: 0.0001 (0.0044) time: 2.5976 data: 0.0027 max mem: 31671 Epoch: [20] [2930/5278] eta: 1:41:42 lr: 2.6123818174866155e-05 loss: 0.0510 (0.0622) loss_seg: 0.0546 (0.0668) loss_lansim: 0.0876 (0.0939) loss_contra: 0.0001 (0.0044) time: 2.5991 data: 0.0026 max mem: 31671 Epoch: [20] [2940/5278] eta: 1:41:16 lr: 2.612152724823652e-05 loss: 0.0521 (0.0622) loss_seg: 0.0551 (0.0668) loss_lansim: 0.0865 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.5971 data: 0.0026 max mem: 31671 Epoch: [20] [2950/5278] eta: 1:40:50 lr: 2.6119236299282196e-05 loss: 0.0510 (0.0622) loss_seg: 0.0546 (0.0668) loss_lansim: 0.0865 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.5896 data: 0.0026 max mem: 31671 Epoch: [20] [2960/5278] eta: 1:40:24 lr: 2.6116945328000787e-05 loss: 0.0517 (0.0622) loss_seg: 0.0551 (0.0669) loss_lansim: 0.0870 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.5900 data: 0.0026 max mem: 31671 Epoch: [20] [2970/5278] eta: 1:39:58 lr: 2.611465433438989e-05 loss: 0.0527 (0.0622) loss_seg: 0.0571 (0.0669) loss_lansim: 0.0875 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.5871 data: 0.0026 max mem: 31671 Epoch: [20] [2980/5278] eta: 1:39:32 lr: 2.611236331844712e-05 loss: 0.0530 (0.0622) loss_seg: 0.0571 (0.0668) loss_lansim: 0.0886 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.5901 data: 0.0027 max mem: 31671 Epoch: [20] [2990/5278] eta: 1:39:06 lr: 2.611007228017008e-05 loss: 0.0521 (0.0622) loss_seg: 0.0571 (0.0669) loss_lansim: 0.0886 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.5914 data: 0.0026 max mem: 31671 Epoch: [20] [3000/5278] eta: 1:38:40 lr: 2.6107781219556377e-05 loss: 0.0510 (0.0622) loss_seg: 0.0552 (0.0668) loss_lansim: 0.0898 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.5963 data: 0.0026 max mem: 31671 Epoch: [20] [3010/5278] eta: 1:38:14 lr: 2.6105490136603604e-05 loss: 0.0488 (0.0621) loss_seg: 0.0536 (0.0668) loss_lansim: 0.0910 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.5998 data: 0.0026 max mem: 31671 Epoch: [20] [3020/5278] eta: 1:37:49 lr: 2.6103199031309382e-05 loss: 0.0510 (0.0621) loss_seg: 0.0537 (0.0668) loss_lansim: 0.0898 (0.0938) loss_contra: 0.0001 (0.0044) time: 2.6099 data: 0.0026 max mem: 31671 Epoch: [20] [3030/5278] eta: 1:37:23 lr: 2.61009079036713e-05 loss: 0.0510 (0.0621) loss_seg: 0.0537 (0.0668) loss_lansim: 0.0910 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.6096 data: 0.0026 max mem: 31671 Epoch: [20] [3040/5278] eta: 1:36:56 lr: 2.609861675368697e-05 loss: 0.0488 (0.0622) loss_seg: 0.0534 (0.0669) loss_lansim: 0.0911 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5978 data: 0.0027 max mem: 31671 Epoch: [20] [3050/5278] eta: 1:36:31 lr: 2.6096325581353994e-05 loss: 0.0484 (0.0622) loss_seg: 0.0529 (0.0668) loss_lansim: 0.0920 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.6192 data: 0.0027 max mem: 31671 Epoch: [20] [3060/5278] eta: 1:36:05 lr: 2.6094034386669962e-05 loss: 0.0496 (0.0623) loss_seg: 0.0534 (0.0669) loss_lansim: 0.0931 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.6099 data: 0.0027 max mem: 31671 Epoch: [20] [3070/5278] eta: 1:35:39 lr: 2.6091743169632494e-05 loss: 0.0496 (0.0623) loss_seg: 0.0534 (0.0669) loss_lansim: 0.0925 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.6195 data: 0.0027 max mem: 31671 Epoch: [20] [3080/5278] eta: 1:35:13 lr: 2.608945193023918e-05 loss: 0.0538 (0.0623) loss_seg: 0.0541 (0.0669) loss_lansim: 0.0925 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.6139 data: 0.0026 max mem: 31671 Epoch: [20] [3090/5278] eta: 1:34:47 lr: 2.6087160668487615e-05 loss: 0.0538 (0.0623) loss_seg: 0.0573 (0.0669) loss_lansim: 0.0927 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.6208 data: 0.0026 max mem: 31671 Epoch: [20] [3100/5278] eta: 1:34:21 lr: 2.6084869384375403e-05 loss: 0.0544 (0.0623) loss_seg: 0.0580 (0.0670) loss_lansim: 0.0928 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.6126 data: 0.0026 max mem: 31671 Epoch: [20] [3110/5278] eta: 1:33:55 lr: 2.608257807790015e-05 loss: 0.0544 (0.0623) loss_seg: 0.0589 (0.0669) loss_lansim: 0.0940 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.6121 data: 0.0027 max mem: 31671 Epoch: [20] [3120/5278] eta: 1:33:28 lr: 2.608028674905945e-05 loss: 0.0549 (0.0623) loss_seg: 0.0595 (0.0669) loss_lansim: 0.0966 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.5887 data: 0.0026 max mem: 31671 Epoch: [20] [3130/5278] eta: 1:33:02 lr: 2.60779953978509e-05 loss: 0.0555 (0.0623) loss_seg: 0.0595 (0.0669) loss_lansim: 0.0954 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5865 data: 0.0026 max mem: 31671 Epoch: [20] [3140/5278] eta: 1:32:36 lr: 2.60757040242721e-05 loss: 0.0561 (0.0623) loss_seg: 0.0605 (0.0669) loss_lansim: 0.0948 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5891 data: 0.0026 max mem: 31671 Epoch: [20] [3150/5278] eta: 1:32:10 lr: 2.6073412628320647e-05 loss: 0.0584 (0.0623) loss_seg: 0.0616 (0.0669) loss_lansim: 0.0945 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5787 data: 0.0025 max mem: 31671 Epoch: [20] [3160/5278] eta: 1:31:44 lr: 2.6071121209994144e-05 loss: 0.0573 (0.0623) loss_seg: 0.0608 (0.0669) loss_lansim: 0.0924 (0.0938) loss_contra: 0.0000 (0.0043) time: 2.5952 data: 0.0025 max mem: 31671 Epoch: [20] [3170/5278] eta: 1:31:18 lr: 2.606882976929017e-05 loss: 0.0566 (0.0623) loss_seg: 0.0598 (0.0669) loss_lansim: 0.0932 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5796 data: 0.0025 max mem: 31671 Epoch: [20] [3180/5278] eta: 1:30:52 lr: 2.6066538306206333e-05 loss: 0.0534 (0.0622) loss_seg: 0.0573 (0.0669) loss_lansim: 0.0939 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5863 data: 0.0025 max mem: 31671 Epoch: [20] [3190/5278] eta: 1:30:26 lr: 2.6064246820740234e-05 loss: 0.0534 (0.0622) loss_seg: 0.0558 (0.0669) loss_lansim: 0.0945 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5727 data: 0.0025 max mem: 31671 Epoch: [20] [3200/5278] eta: 1:30:00 lr: 2.6061955312889457e-05 loss: 0.0567 (0.0623) loss_seg: 0.0595 (0.0670) loss_lansim: 0.0939 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5813 data: 0.0025 max mem: 31671 Epoch: [20] [3210/5278] eta: 1:29:34 lr: 2.6059663782651605e-05 loss: 0.0567 (0.0623) loss_seg: 0.0595 (0.0670) loss_lansim: 0.0921 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5748 data: 0.0025 max mem: 31671 Epoch: [20] [3220/5278] eta: 1:29:07 lr: 2.6057372230024264e-05 loss: 0.0543 (0.0623) loss_seg: 0.0558 (0.0669) loss_lansim: 0.0906 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5862 data: 0.0025 max mem: 31671 Epoch: [20] [3230/5278] eta: 1:28:42 lr: 2.605508065500503e-05 loss: 0.0543 (0.0623) loss_seg: 0.0558 (0.0669) loss_lansim: 0.0891 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5933 data: 0.0025 max mem: 31671 Epoch: [20] [3240/5278] eta: 1:28:16 lr: 2.6052789057591497e-05 loss: 0.0543 (0.0623) loss_seg: 0.0558 (0.0669) loss_lansim: 0.0890 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5934 data: 0.0025 max mem: 31671 Epoch: [20] [3250/5278] eta: 1:27:49 lr: 2.6050497437781263e-05 loss: 0.0516 (0.0623) loss_seg: 0.0552 (0.0669) loss_lansim: 0.0899 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5894 data: 0.0025 max mem: 31671 Epoch: [20] [3260/5278] eta: 1:27:24 lr: 2.604820579557191e-05 loss: 0.0510 (0.0623) loss_seg: 0.0549 (0.0669) loss_lansim: 0.0921 (0.0938) loss_contra: 0.0000 (0.0043) time: 2.5903 data: 0.0025 max mem: 31671 Epoch: [20] [3270/5278] eta: 1:26:58 lr: 2.6045914130961037e-05 loss: 0.0530 (0.0623) loss_seg: 0.0565 (0.0669) loss_lansim: 0.0921 (0.0938) loss_contra: 0.0000 (0.0043) time: 2.5946 data: 0.0026 max mem: 31671 Epoch: [20] [3280/5278] eta: 1:26:32 lr: 2.6043622443946227e-05 loss: 0.0543 (0.0622) loss_seg: 0.0583 (0.0669) loss_lansim: 0.0921 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.5903 data: 0.0026 max mem: 31671 Epoch: [20] [3290/5278] eta: 1:26:06 lr: 2.604133073452508e-05 loss: 0.0537 (0.0622) loss_seg: 0.0583 (0.0669) loss_lansim: 0.0937 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.5971 data: 0.0026 max mem: 31671 Epoch: [20] [3300/5278] eta: 1:25:40 lr: 2.603903900269518e-05 loss: 0.0543 (0.0622) loss_seg: 0.0593 (0.0669) loss_lansim: 0.0932 (0.0939) loss_contra: 0.0001 (0.0042) time: 2.5935 data: 0.0026 max mem: 31671 Epoch: [20] [3310/5278] eta: 1:25:14 lr: 2.6036747248454113e-05 loss: 0.0563 (0.0624) loss_seg: 0.0622 (0.0670) loss_lansim: 0.0932 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.5966 data: 0.0026 max mem: 31671 Epoch: [20] [3320/5278] eta: 1:24:47 lr: 2.603445547179948e-05 loss: 0.0599 (0.0624) loss_seg: 0.0645 (0.0670) loss_lansim: 0.0938 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.5959 data: 0.0026 max mem: 31671 Epoch: [20] [3330/5278] eta: 1:24:22 lr: 2.603216367272886e-05 loss: 0.0605 (0.0624) loss_seg: 0.0645 (0.0670) loss_lansim: 0.0946 (0.0938) loss_contra: 0.0001 (0.0043) time: 2.5979 data: 0.0026 max mem: 31671 Epoch: [20] [3340/5278] eta: 1:23:56 lr: 2.6029871851239838e-05 loss: 0.0571 (0.0624) loss_seg: 0.0616 (0.0670) loss_lansim: 0.0943 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.5970 data: 0.0026 max mem: 31671 Epoch: [20] [3350/5278] eta: 1:23:29 lr: 2.6027580007330016e-05 loss: 0.0571 (0.0623) loss_seg: 0.0620 (0.0670) loss_lansim: 0.0946 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5944 data: 0.0026 max mem: 31671 Epoch: [20] [3360/5278] eta: 1:23:03 lr: 2.6025288140996962e-05 loss: 0.0574 (0.0624) loss_seg: 0.0630 (0.0671) loss_lansim: 0.0938 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.5837 data: 0.0026 max mem: 31671 Epoch: [20] [3370/5278] eta: 1:22:37 lr: 2.602299625223828e-05 loss: 0.0570 (0.0625) loss_seg: 0.0625 (0.0671) loss_lansim: 0.0932 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5820 data: 0.0026 max mem: 31671 Epoch: [20] [3380/5278] eta: 1:22:11 lr: 2.6020704341051545e-05 loss: 0.0576 (0.0625) loss_seg: 0.0630 (0.0671) loss_lansim: 0.0928 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5823 data: 0.0026 max mem: 31671 Epoch: [20] [3390/5278] eta: 1:21:45 lr: 2.6018412407434345e-05 loss: 0.0576 (0.0625) loss_seg: 0.0625 (0.0671) loss_lansim: 0.0923 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.5886 data: 0.0025 max mem: 31671 Epoch: [20] [3400/5278] eta: 1:21:19 lr: 2.6016120451384262e-05 loss: 0.0576 (0.0625) loss_seg: 0.0626 (0.0672) loss_lansim: 0.0931 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5934 data: 0.0026 max mem: 31671 Epoch: [20] [3410/5278] eta: 1:20:53 lr: 2.60138284728989e-05 loss: 0.0567 (0.0625) loss_seg: 0.0612 (0.0671) loss_lansim: 0.0931 (0.0939) loss_contra: 0.0000 (0.0043) time: 2.5899 data: 0.0026 max mem: 31671 Epoch: [20] [3420/5278] eta: 1:20:27 lr: 2.6011536471975813e-05 loss: 0.0566 (0.0625) loss_seg: 0.0607 (0.0671) loss_lansim: 0.0931 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.5914 data: 0.0026 max mem: 31671 Epoch: [20] [3430/5278] eta: 1:20:01 lr: 2.60092444486126e-05 loss: 0.0552 (0.0625) loss_seg: 0.0591 (0.0671) loss_lansim: 0.0925 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.5824 data: 0.0025 max mem: 31671 Epoch: [20] [3440/5278] eta: 1:19:35 lr: 2.6006952402806846e-05 loss: 0.0552 (0.0624) loss_seg: 0.0583 (0.0671) loss_lansim: 0.0926 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.5903 data: 0.0025 max mem: 31671 Epoch: [20] [3450/5278] eta: 1:19:09 lr: 2.6004660334556126e-05 loss: 0.0548 (0.0624) loss_seg: 0.0562 (0.0670) loss_lansim: 0.0925 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.5931 data: 0.0025 max mem: 31671 Epoch: [20] [3460/5278] eta: 1:18:43 lr: 2.6002368243858034e-05 loss: 0.0490 (0.0624) loss_seg: 0.0539 (0.0670) loss_lansim: 0.0921 (0.0939) loss_contra: 0.0001 (0.0043) time: 2.6010 data: 0.0025 max mem: 31671 Epoch: [20] [3470/5278] eta: 1:18:18 lr: 2.600007613071014e-05 loss: 0.0490 (0.0624) loss_seg: 0.0539 (0.0670) loss_lansim: 0.0916 (0.0939) loss_contra: 0.0001 (0.0042) time: 2.6056 data: 0.0026 max mem: 31671 Epoch: [20] [3480/5278] eta: 1:17:52 lr: 2.5997783995110024e-05 loss: 0.0474 (0.0623) loss_seg: 0.0514 (0.0669) loss_lansim: 0.0912 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.6078 data: 0.0026 max mem: 31671 Epoch: [20] [3490/5278] eta: 1:17:26 lr: 2.5995491837055276e-05 loss: 0.0463 (0.0623) loss_seg: 0.0504 (0.0669) loss_lansim: 0.0906 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.6004 data: 0.0026 max mem: 31671 Epoch: [20] [3500/5278] eta: 1:17:00 lr: 2.5993199656543475e-05 loss: 0.0457 (0.0623) loss_seg: 0.0499 (0.0669) loss_lansim: 0.0893 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.5998 data: 0.0027 max mem: 31671 Epoch: [20] [3510/5278] eta: 1:16:34 lr: 2.5990907453572196e-05 loss: 0.0463 (0.0623) loss_seg: 0.0504 (0.0669) loss_lansim: 0.0895 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.6019 data: 0.0026 max mem: 31671 Epoch: [20] [3520/5278] eta: 1:16:07 lr: 2.5988615228139012e-05 loss: 0.0458 (0.0623) loss_seg: 0.0499 (0.0669) loss_lansim: 0.0898 (0.0938) loss_contra: 0.0001 (0.0042) time: 2.5983 data: 0.0026 max mem: 31671 Epoch: [20] [3530/5278] eta: 1:15:42 lr: 2.598632298024152e-05 loss: 0.0458 (0.0623) loss_seg: 0.0503 (0.0669) loss_lansim: 0.0915 (0.0939) loss_contra: 0.0001 (0.0042) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [20] [3540/5278] eta: 1:15:16 lr: 2.5984030709877282e-05 loss: 0.0471 (0.0623) loss_seg: 0.0507 (0.0669) loss_lansim: 0.0915 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.6015 data: 0.0026 max mem: 31671 Epoch: [20] [3550/5278] eta: 1:14:50 lr: 2.5981738417043878e-05 loss: 0.0471 (0.0623) loss_seg: 0.0515 (0.0669) loss_lansim: 0.0919 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.6082 data: 0.0026 max mem: 31671 Epoch: [20] [3560/5278] eta: 1:14:24 lr: 2.5979446101738886e-05 loss: 0.0473 (0.0623) loss_seg: 0.0519 (0.0669) loss_lansim: 0.0926 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.6032 data: 0.0026 max mem: 31671 Epoch: [20] [3570/5278] eta: 1:13:58 lr: 2.5977153763959887e-05 loss: 0.0471 (0.0623) loss_seg: 0.0507 (0.0668) loss_lansim: 0.0934 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.6013 data: 0.0026 max mem: 31671 Epoch: [20] [3580/5278] eta: 1:13:32 lr: 2.597486140370446e-05 loss: 0.0473 (0.0623) loss_seg: 0.0519 (0.0669) loss_lansim: 0.0948 (0.0939) loss_contra: 0.0001 (0.0042) time: 2.5979 data: 0.0026 max mem: 31671 Epoch: [20] [3590/5278] eta: 1:13:06 lr: 2.5972569020970165e-05 loss: 0.0497 (0.0623) loss_seg: 0.0547 (0.0669) loss_lansim: 0.0953 (0.0939) loss_contra: 0.0001 (0.0042) time: 2.5999 data: 0.0026 max mem: 31671 Epoch: [20] [3600/5278] eta: 1:12:40 lr: 2.597027661575459e-05 loss: 0.0497 (0.0623) loss_seg: 0.0547 (0.0669) loss_lansim: 0.0953 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.5969 data: 0.0026 max mem: 31671 Epoch: [20] [3610/5278] eta: 1:12:14 lr: 2.5967984188055306e-05 loss: 0.0495 (0.0622) loss_seg: 0.0519 (0.0668) loss_lansim: 0.0948 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.5970 data: 0.0026 max mem: 31671 Epoch: [20] [3620/5278] eta: 1:11:47 lr: 2.5965691737869892e-05 loss: 0.0500 (0.0623) loss_seg: 0.0545 (0.0669) loss_lansim: 0.0945 (0.0939) loss_contra: 0.0000 (0.0042) time: 2.5973 data: 0.0026 max mem: 31671 Epoch: [20] [3630/5278] eta: 1:11:21 lr: 2.596339926519591e-05 loss: 0.0500 (0.0623) loss_seg: 0.0545 (0.0668) loss_lansim: 0.0951 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5910 data: 0.0026 max mem: 31671 Epoch: [20] [3640/5278] eta: 1:10:55 lr: 2.596110677003094e-05 loss: 0.0506 (0.0622) loss_seg: 0.0552 (0.0668) loss_lansim: 0.0953 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5806 data: 0.0027 max mem: 31671 Epoch: [20] [3650/5278] eta: 1:10:29 lr: 2.5958814252372553e-05 loss: 0.0506 (0.0622) loss_seg: 0.0523 (0.0668) loss_lansim: 0.0960 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5808 data: 0.0027 max mem: 31671 Epoch: [20] [3660/5278] eta: 1:10:03 lr: 2.5956521712218335e-05 loss: 0.0507 (0.0622) loss_seg: 0.0556 (0.0668) loss_lansim: 0.0973 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5801 data: 0.0027 max mem: 31671 Epoch: [20] [3670/5278] eta: 1:09:37 lr: 2.5954229149565834e-05 loss: 0.0543 (0.0622) loss_seg: 0.0588 (0.0668) loss_lansim: 0.0969 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5806 data: 0.0027 max mem: 31671 Epoch: [20] [3680/5278] eta: 1:09:11 lr: 2.5951936564412632e-05 loss: 0.0533 (0.0622) loss_seg: 0.0575 (0.0668) loss_lansim: 0.0969 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5819 data: 0.0026 max mem: 31671 Epoch: [20] [3690/5278] eta: 1:08:45 lr: 2.59496439567563e-05 loss: 0.0515 (0.0622) loss_seg: 0.0557 (0.0668) loss_lansim: 0.0963 (0.0940) loss_contra: 0.0001 (0.0042) time: 2.5810 data: 0.0026 max mem: 31671 Epoch: [20] [3700/5278] eta: 1:08:19 lr: 2.5947351326594414e-05 loss: 0.0520 (0.0625) loss_seg: 0.0556 (0.0671) loss_lansim: 0.0969 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5803 data: 0.0026 max mem: 31671 Epoch: [20] [3710/5278] eta: 1:07:53 lr: 2.5945058673924538e-05 loss: 0.0527 (0.0625) loss_seg: 0.0567 (0.0671) loss_lansim: 0.0972 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5809 data: 0.0026 max mem: 31671 Epoch: [20] [3720/5278] eta: 1:07:27 lr: 2.5942765998744235e-05 loss: 0.0527 (0.0624) loss_seg: 0.0561 (0.0671) loss_lansim: 0.0964 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5807 data: 0.0027 max mem: 31671 Epoch: [20] [3730/5278] eta: 1:07:01 lr: 2.5940473301051077e-05 loss: 0.0520 (0.0624) loss_seg: 0.0556 (0.0670) loss_lansim: 0.0956 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5842 data: 0.0027 max mem: 31671 Epoch: [20] [3740/5278] eta: 1:06:35 lr: 2.5938180580842636e-05 loss: 0.0508 (0.0624) loss_seg: 0.0519 (0.0670) loss_lansim: 0.0941 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5894 data: 0.0027 max mem: 31671 Epoch: [20] [3750/5278] eta: 1:06:09 lr: 2.5935887838116483e-05 loss: 0.0517 (0.0624) loss_seg: 0.0530 (0.0670) loss_lansim: 0.0935 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5893 data: 0.0027 max mem: 31671 Epoch: [20] [3760/5278] eta: 1:05:43 lr: 2.5933595072870175e-05 loss: 0.0515 (0.0624) loss_seg: 0.0519 (0.0670) loss_lansim: 0.0920 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5871 data: 0.0027 max mem: 31671 Epoch: [20] [3770/5278] eta: 1:05:17 lr: 2.5931302285101284e-05 loss: 0.0519 (0.0624) loss_seg: 0.0526 (0.0671) loss_lansim: 0.0923 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5889 data: 0.0027 max mem: 31671 Epoch: [20] [3780/5278] eta: 1:04:51 lr: 2.592900947480737e-05 loss: 0.0520 (0.0624) loss_seg: 0.0556 (0.0671) loss_lansim: 0.0916 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.5977 data: 0.0027 max mem: 31671 Epoch: [20] [3790/5278] eta: 1:04:26 lr: 2.5926716641986014e-05 loss: 0.0519 (0.0624) loss_seg: 0.0526 (0.0670) loss_lansim: 0.0916 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6036 data: 0.0027 max mem: 31671 Epoch: [20] [3800/5278] eta: 1:03:59 lr: 2.5924423786634767e-05 loss: 0.0516 (0.0624) loss_seg: 0.0526 (0.0670) loss_lansim: 0.0909 (0.0940) loss_contra: 0.0002 (0.0043) time: 2.5988 data: 0.0026 max mem: 31671 Epoch: [20] [3810/5278] eta: 1:03:34 lr: 2.5922130908751192e-05 loss: 0.0506 (0.0624) loss_seg: 0.0519 (0.0670) loss_lansim: 0.0907 (0.0940) loss_contra: 0.0002 (0.0043) time: 2.6067 data: 0.0026 max mem: 31671 Epoch: [20] [3820/5278] eta: 1:03:08 lr: 2.591983800833286e-05 loss: 0.0516 (0.0625) loss_seg: 0.0526 (0.0671) loss_lansim: 0.0901 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6107 data: 0.0026 max mem: 31671 Epoch: [20] [3830/5278] eta: 1:02:42 lr: 2.5917545085377337e-05 loss: 0.0516 (0.0625) loss_seg: 0.0527 (0.0671) loss_lansim: 0.0902 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6113 data: 0.0026 max mem: 31671 Epoch: [20] [3840/5278] eta: 1:02:16 lr: 2.591525213988218e-05 loss: 0.0519 (0.0625) loss_seg: 0.0557 (0.0671) loss_lansim: 0.0901 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6126 data: 0.0025 max mem: 31671 Epoch: [20] [3850/5278] eta: 1:01:50 lr: 2.5912959171844952e-05 loss: 0.0512 (0.0625) loss_seg: 0.0526 (0.0671) loss_lansim: 0.0907 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6103 data: 0.0025 max mem: 31671 Epoch: [20] [3860/5278] eta: 1:01:24 lr: 2.5910666181263217e-05 loss: 0.0531 (0.0625) loss_seg: 0.0557 (0.0671) loss_lansim: 0.0915 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6176 data: 0.0025 max mem: 31671 Epoch: [20] [3870/5278] eta: 1:00:58 lr: 2.5908373168134543e-05 loss: 0.0482 (0.0625) loss_seg: 0.0522 (0.0671) loss_lansim: 0.0915 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6103 data: 0.0025 max mem: 31671 Epoch: [20] [3880/5278] eta: 1:00:32 lr: 2.590608013245648e-05 loss: 0.0481 (0.0624) loss_seg: 0.0520 (0.0671) loss_lansim: 0.0928 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6049 data: 0.0025 max mem: 31671 Epoch: [20] [3890/5278] eta: 1:00:06 lr: 2.5903787074226587e-05 loss: 0.0482 (0.0624) loss_seg: 0.0522 (0.0670) loss_lansim: 0.0931 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6022 data: 0.0025 max mem: 31671 Epoch: [20] [3900/5278] eta: 0:59:40 lr: 2.5901493993442426e-05 loss: 0.0482 (0.0625) loss_seg: 0.0522 (0.0672) loss_lansim: 0.0937 (0.0940) loss_contra: 0.0001 (0.0043) time: 2.6148 data: 0.0025 max mem: 31671 Epoch: [20] [3910/5278] eta: 0:59:14 lr: 2.589920089010158e-05 loss: 0.0496 (0.0625) loss_seg: 0.0527 (0.0672) loss_lansim: 0.0933 (0.0940) loss_contra: 0.0001 (0.0046) time: 2.6141 data: 0.0025 max mem: 31671 Epoch: [20] [3920/5278] eta: 0:58:48 lr: 2.5896907764201567e-05 loss: 0.0482 (0.0625) loss_seg: 0.0516 (0.0671) loss_lansim: 0.0937 (0.0940) loss_contra: 0.0001 (0.0046) time: 2.6121 data: 0.0025 max mem: 31671 Epoch: [20] [3930/5278] eta: 0:58:22 lr: 2.5894614615739975e-05 loss: 0.0495 (0.0625) loss_seg: 0.0530 (0.0672) loss_lansim: 0.0930 (0.0940) loss_contra: 0.0001 (0.0046) time: 2.6165 data: 0.0025 max mem: 31671 Epoch: [20] [3940/5278] eta: 0:57:57 lr: 2.589232144471435e-05 loss: 0.0520 (0.0626) loss_seg: 0.0545 (0.0672) loss_lansim: 0.0928 (0.0940) loss_contra: 0.0001 (0.0046) time: 2.6248 data: 0.0026 max mem: 31671 Epoch: [20] [3950/5278] eta: 0:57:31 lr: 2.5890028251122254e-05 loss: 0.0522 (0.0626) loss_seg: 0.0554 (0.0672) loss_lansim: 0.0924 (0.0939) loss_contra: 0.0001 (0.0045) time: 2.6202 data: 0.0026 max mem: 31671 Epoch: [20] [3960/5278] eta: 0:57:05 lr: 2.5887735034961253e-05 loss: 0.0520 (0.0626) loss_seg: 0.0545 (0.0672) loss_lansim: 0.0916 (0.0939) loss_contra: 0.0001 (0.0045) time: 2.6173 data: 0.0026 max mem: 31671 Epoch: [20] [3970/5278] eta: 0:56:38 lr: 2.5885441796228887e-05 loss: 0.0522 (0.0626) loss_seg: 0.0554 (0.0672) loss_lansim: 0.0913 (0.0939) loss_contra: 0.0001 (0.0045) time: 2.6111 data: 0.0026 max mem: 31671 Epoch: [20] [3980/5278] eta: 0:56:12 lr: 2.5883148534922713e-05 loss: 0.0505 (0.0625) loss_seg: 0.0526 (0.0672) loss_lansim: 0.0901 (0.0939) loss_contra: 0.0001 (0.0045) time: 2.6102 data: 0.0026 max mem: 31671 Epoch: [20] [3990/5278] eta: 0:55:46 lr: 2.58808552510403e-05 loss: 0.0520 (0.0625) loss_seg: 0.0531 (0.0671) loss_lansim: 0.0880 (0.0939) loss_contra: 0.0001 (0.0045) time: 2.6056 data: 0.0026 max mem: 31671 Epoch: [20] [4000/5278] eta: 0:55:20 lr: 2.5878561944579193e-05 loss: 0.0513 (0.0625) loss_seg: 0.0531 (0.0671) loss_lansim: 0.0880 (0.0939) loss_contra: 0.0001 (0.0045) time: 2.5961 data: 0.0026 max mem: 31671 Epoch: [20] [4010/5278] eta: 0:54:54 lr: 2.5876268615536943e-05 loss: 0.0520 (0.0624) loss_seg: 0.0543 (0.0671) loss_lansim: 0.0886 (0.0939) loss_contra: 0.0001 (0.0045) time: 2.5985 data: 0.0026 max mem: 31671 Epoch: [20] [4020/5278] eta: 0:54:28 lr: 2.5873975263911114e-05 loss: 0.0527 (0.0625) loss_seg: 0.0576 (0.0671) loss_lansim: 0.0889 (0.0939) loss_contra: 0.0001 (0.0045) time: 2.5975 data: 0.0026 max mem: 31671 Epoch: [20] [4030/5278] eta: 0:54:02 lr: 2.587168188969925e-05 loss: 0.0520 (0.0625) loss_seg: 0.0562 (0.0671) loss_lansim: 0.0875 (0.0938) loss_contra: 0.0001 (0.0045) time: 2.5910 data: 0.0026 max mem: 31671 Epoch: [20] [4040/5278] eta: 0:53:36 lr: 2.5869388492898915e-05 loss: 0.0494 (0.0625) loss_seg: 0.0526 (0.0671) loss_lansim: 0.0875 (0.0938) loss_contra: 0.0001 (0.0045) time: 2.5847 data: 0.0026 max mem: 31671 Epoch: [20] [4050/5278] eta: 0:53:10 lr: 2.5867095073507652e-05 loss: 0.0520 (0.0625) loss_seg: 0.0566 (0.0671) loss_lansim: 0.0875 (0.0938) loss_contra: 0.0002 (0.0046) time: 2.5900 data: 0.0025 max mem: 31671 Epoch: [20] [4060/5278] eta: 0:52:44 lr: 2.5864801631523018e-05 loss: 0.0520 (0.0625) loss_seg: 0.0566 (0.0671) loss_lansim: 0.0879 (0.0938) loss_contra: 0.0001 (0.0046) time: 2.5825 data: 0.0026 max mem: 31671 Epoch: [20] [4070/5278] eta: 0:52:18 lr: 2.586250816694256e-05 loss: 0.0494 (0.0625) loss_seg: 0.0543 (0.0671) loss_lansim: 0.0875 (0.0937) loss_contra: 0.0001 (0.0046) time: 2.5900 data: 0.0026 max mem: 31671 Epoch: [20] [4080/5278] eta: 0:51:52 lr: 2.586021467976384e-05 loss: 0.0561 (0.0624) loss_seg: 0.0617 (0.0671) loss_lansim: 0.0879 (0.0937) loss_contra: 0.0001 (0.0046) time: 2.5892 data: 0.0026 max mem: 31671 Epoch: [20] [4090/5278] eta: 0:51:26 lr: 2.585792116998439e-05 loss: 0.0509 (0.0624) loss_seg: 0.0562 (0.0671) loss_lansim: 0.0875 (0.0937) loss_contra: 0.0001 (0.0046) time: 2.5998 data: 0.0026 max mem: 31671 Epoch: [20] [4100/5278] eta: 0:51:01 lr: 2.585562763760177e-05 loss: 0.0533 (0.0624) loss_seg: 0.0581 (0.0671) loss_lansim: 0.0861 (0.0937) loss_contra: 0.0001 (0.0046) time: 2.6030 data: 0.0026 max mem: 31671 Epoch: [20] [4110/5278] eta: 0:50:35 lr: 2.5853334082613527e-05 loss: 0.0527 (0.0624) loss_seg: 0.0573 (0.0671) loss_lansim: 0.0857 (0.0937) loss_contra: 0.0001 (0.0046) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [20] [4120/5278] eta: 0:50:09 lr: 2.585104050501722e-05 loss: 0.0533 (0.0624) loss_seg: 0.0568 (0.0671) loss_lansim: 0.0854 (0.0936) loss_contra: 0.0001 (0.0046) time: 2.6019 data: 0.0026 max mem: 31671 Epoch: [20] [4130/5278] eta: 0:49:42 lr: 2.584874690481039e-05 loss: 0.0533 (0.0625) loss_seg: 0.0569 (0.0671) loss_lansim: 0.0856 (0.0936) loss_contra: 0.0001 (0.0046) time: 2.5967 data: 0.0026 max mem: 31671 Epoch: [20] [4140/5278] eta: 0:49:17 lr: 2.5846453281990572e-05 loss: 0.0546 (0.0625) loss_seg: 0.0599 (0.0671) loss_lansim: 0.0856 (0.0936) loss_contra: 0.0001 (0.0046) time: 2.5991 data: 0.0026 max mem: 31671 Epoch: [20] [4150/5278] eta: 0:48:50 lr: 2.5844159636555336e-05 loss: 0.0515 (0.0624) loss_seg: 0.0560 (0.0671) loss_lansim: 0.0857 (0.0936) loss_contra: 0.0001 (0.0046) time: 2.5934 data: 0.0026 max mem: 31671 Epoch: [20] [4160/5278] eta: 0:48:25 lr: 2.584186596850222e-05 loss: 0.0515 (0.0624) loss_seg: 0.0560 (0.0671) loss_lansim: 0.0857 (0.0936) loss_contra: 0.0001 (0.0046) time: 2.6030 data: 0.0026 max mem: 31671 Epoch: [20] [4170/5278] eta: 0:47:59 lr: 2.5839572277828768e-05 loss: 0.0517 (0.0624) loss_seg: 0.0568 (0.0671) loss_lansim: 0.0846 (0.0936) loss_contra: 0.0001 (0.0046) time: 2.6100 data: 0.0026 max mem: 31671 Epoch: [20] [4180/5278] eta: 0:47:33 lr: 2.5837278564532518e-05 loss: 0.0517 (0.0624) loss_seg: 0.0568 (0.0671) loss_lansim: 0.0854 (0.0936) loss_contra: 0.0001 (0.0046) time: 2.6176 data: 0.0026 max mem: 31671 Epoch: [20] [4190/5278] eta: 0:47:07 lr: 2.583498482861103e-05 loss: 0.0517 (0.0624) loss_seg: 0.0568 (0.0671) loss_lansim: 0.0863 (0.0935) loss_contra: 0.0001 (0.0046) time: 2.6090 data: 0.0026 max mem: 31671 Epoch: [20] [4200/5278] eta: 0:46:41 lr: 2.583269107006184e-05 loss: 0.0508 (0.0624) loss_seg: 0.0557 (0.0670) loss_lansim: 0.0875 (0.0935) loss_contra: 0.0001 (0.0045) time: 2.6107 data: 0.0026 max mem: 31671 Epoch: [20] [4210/5278] eta: 0:46:15 lr: 2.5830397288882502e-05 loss: 0.0516 (0.0624) loss_seg: 0.0563 (0.0670) loss_lansim: 0.0883 (0.0935) loss_contra: 0.0001 (0.0045) time: 2.6110 data: 0.0026 max mem: 31671 Epoch: [20] [4220/5278] eta: 0:45:49 lr: 2.5828103485070547e-05 loss: 0.0510 (0.0624) loss_seg: 0.0557 (0.0671) loss_lansim: 0.0892 (0.0935) loss_contra: 0.0001 (0.0046) time: 2.6094 data: 0.0026 max mem: 31671 Epoch: [20] [4230/5278] eta: 0:45:23 lr: 2.5825809658623523e-05 loss: 0.0506 (0.0624) loss_seg: 0.0546 (0.0670) loss_lansim: 0.0899 (0.0935) loss_contra: 0.0001 (0.0046) time: 2.6127 data: 0.0026 max mem: 31671 Epoch: [20] [4240/5278] eta: 0:44:57 lr: 2.582351580953897e-05 loss: 0.0492 (0.0623) loss_seg: 0.0541 (0.0670) loss_lansim: 0.0891 (0.0935) loss_contra: 0.0001 (0.0046) time: 2.6134 data: 0.0026 max mem: 31671 Epoch: [20] [4250/5278] eta: 0:44:31 lr: 2.582122193781445e-05 loss: 0.0496 (0.0623) loss_seg: 0.0543 (0.0670) loss_lansim: 0.0881 (0.0935) loss_contra: 0.0001 (0.0046) time: 2.6167 data: 0.0026 max mem: 31671 Epoch: [20] [4260/5278] eta: 0:44:05 lr: 2.5818928043447475e-05 loss: 0.0496 (0.0623) loss_seg: 0.0541 (0.0670) loss_lansim: 0.0881 (0.0935) loss_contra: 0.0001 (0.0046) time: 2.6185 data: 0.0026 max mem: 31671 Epoch: [20] [4270/5278] eta: 0:43:39 lr: 2.5816634126435608e-05 loss: 0.0496 (0.0623) loss_seg: 0.0529 (0.0669) loss_lansim: 0.0881 (0.0935) loss_contra: 0.0001 (0.0046) time: 2.6108 data: 0.0025 max mem: 31671 Epoch: [20] [4280/5278] eta: 0:43:13 lr: 2.5814340186776376e-05 loss: 0.0488 (0.0622) loss_seg: 0.0517 (0.0669) loss_lansim: 0.0876 (0.0935) loss_contra: 0.0000 (0.0046) time: 2.6069 data: 0.0026 max mem: 31671 Epoch: [20] [4290/5278] eta: 0:42:47 lr: 2.5812046224467335e-05 loss: 0.0496 (0.0623) loss_seg: 0.0535 (0.0669) loss_lansim: 0.0872 (0.0934) loss_contra: 0.0001 (0.0046) time: 2.6097 data: 0.0026 max mem: 31671 Epoch: [20] [4300/5278] eta: 0:42:21 lr: 2.5809752239506006e-05 loss: 0.0499 (0.0623) loss_seg: 0.0541 (0.0670) loss_lansim: 0.0872 (0.0934) loss_contra: 0.0001 (0.0046) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [20] [4310/5278] eta: 0:41:55 lr: 2.580745823188994e-05 loss: 0.0506 (0.0623) loss_seg: 0.0548 (0.0670) loss_lansim: 0.0867 (0.0934) loss_contra: 0.0001 (0.0046) time: 2.6090 data: 0.0026 max mem: 31671 Epoch: [20] [4320/5278] eta: 0:41:29 lr: 2.580516420161667e-05 loss: 0.0499 (0.0623) loss_seg: 0.0548 (0.0670) loss_lansim: 0.0868 (0.0934) loss_contra: 0.0001 (0.0045) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [20] [4330/5278] eta: 0:41:03 lr: 2.5802870148683743e-05 loss: 0.0497 (0.0623) loss_seg: 0.0547 (0.0670) loss_lansim: 0.0872 (0.0934) loss_contra: 0.0001 (0.0045) time: 2.6118 data: 0.0025 max mem: 31671 Epoch: [20] [4340/5278] eta: 0:40:37 lr: 2.580057607308869e-05 loss: 0.0487 (0.0623) loss_seg: 0.0529 (0.0669) loss_lansim: 0.0875 (0.0934) loss_contra: 0.0001 (0.0045) time: 2.6119 data: 0.0025 max mem: 31671 Epoch: [20] [4350/5278] eta: 0:40:12 lr: 2.5798281974829048e-05 loss: 0.0485 (0.0623) loss_seg: 0.0529 (0.0669) loss_lansim: 0.0875 (0.0934) loss_contra: 0.0000 (0.0045) time: 2.6147 data: 0.0025 max mem: 31671 Epoch: [20] [4360/5278] eta: 0:39:45 lr: 2.5795987853902347e-05 loss: 0.0487 (0.0622) loss_seg: 0.0533 (0.0669) loss_lansim: 0.0867 (0.0933) loss_contra: 0.0001 (0.0045) time: 2.6065 data: 0.0025 max mem: 31671 Epoch: [20] [4370/5278] eta: 0:39:19 lr: 2.5793693710306143e-05 loss: 0.0497 (0.0622) loss_seg: 0.0550 (0.0669) loss_lansim: 0.0864 (0.0933) loss_contra: 0.0001 (0.0045) time: 2.6053 data: 0.0025 max mem: 31671 Epoch: [20] [4380/5278] eta: 0:38:53 lr: 2.579139954403795e-05 loss: 0.0513 (0.0622) loss_seg: 0.0560 (0.0669) loss_lansim: 0.0864 (0.0933) loss_contra: 0.0001 (0.0045) time: 2.6006 data: 0.0025 max mem: 31671 Epoch: [20] [4390/5278] eta: 0:38:27 lr: 2.5789105355095318e-05 loss: 0.0485 (0.0622) loss_seg: 0.0533 (0.0669) loss_lansim: 0.0853 (0.0932) loss_contra: 0.0001 (0.0045) time: 2.6028 data: 0.0025 max mem: 31671 Epoch: [20] [4400/5278] eta: 0:38:01 lr: 2.5786811143475775e-05 loss: 0.0462 (0.0622) loss_seg: 0.0494 (0.0669) loss_lansim: 0.0843 (0.0932) loss_contra: 0.0001 (0.0045) time: 2.6065 data: 0.0025 max mem: 31671 Epoch: [20] [4410/5278] eta: 0:37:36 lr: 2.578451690917686e-05 loss: 0.0460 (0.0622) loss_seg: 0.0494 (0.0669) loss_lansim: 0.0824 (0.0932) loss_contra: 0.0001 (0.0045) time: 2.6038 data: 0.0025 max mem: 31671 Epoch: [20] [4420/5278] eta: 0:37:10 lr: 2.5782222652196096e-05 loss: 0.0460 (0.0622) loss_seg: 0.0497 (0.0669) loss_lansim: 0.0823 (0.0932) loss_contra: 0.0000 (0.0045) time: 2.6070 data: 0.0025 max mem: 31671 Epoch: [20] [4430/5278] eta: 0:36:44 lr: 2.5779928372531026e-05 loss: 0.0462 (0.0622) loss_seg: 0.0497 (0.0669) loss_lansim: 0.0819 (0.0932) loss_contra: 0.0001 (0.0045) time: 2.6013 data: 0.0025 max mem: 31671 Epoch: [20] [4440/5278] eta: 0:36:17 lr: 2.577763407017918e-05 loss: 0.0511 (0.0622) loss_seg: 0.0559 (0.0669) loss_lansim: 0.0816 (0.0931) loss_contra: 0.0001 (0.0045) time: 2.5932 data: 0.0025 max mem: 31671 Epoch: [20] [4450/5278] eta: 0:35:52 lr: 2.577533974513809e-05 loss: 0.0510 (0.0622) loss_seg: 0.0549 (0.0668) loss_lansim: 0.0815 (0.0931) loss_contra: 0.0001 (0.0045) time: 2.5940 data: 0.0025 max mem: 31671 Epoch: [20] [4460/5278] eta: 0:35:25 lr: 2.577304539740529e-05 loss: 0.0511 (0.0622) loss_seg: 0.0560 (0.0669) loss_lansim: 0.0816 (0.0931) loss_contra: 0.0001 (0.0045) time: 2.5895 data: 0.0025 max mem: 31671 Epoch: [20] [4470/5278] eta: 0:34:59 lr: 2.57707510269783e-05 loss: 0.0512 (0.0622) loss_seg: 0.0564 (0.0669) loss_lansim: 0.0820 (0.0931) loss_contra: 0.0001 (0.0045) time: 2.5943 data: 0.0026 max mem: 31671 Epoch: [20] [4480/5278] eta: 0:34:33 lr: 2.576845663385466e-05 loss: 0.0512 (0.0622) loss_seg: 0.0564 (0.0669) loss_lansim: 0.0820 (0.0930) loss_contra: 0.0001 (0.0045) time: 2.5918 data: 0.0025 max mem: 31671 Epoch: [20] [4490/5278] eta: 0:34:07 lr: 2.57661622180319e-05 loss: 0.0528 (0.0623) loss_seg: 0.0579 (0.0669) loss_lansim: 0.0836 (0.0930) loss_contra: 0.0001 (0.0045) time: 2.5850 data: 0.0025 max mem: 31671 Epoch: [20] [4500/5278] eta: 0:33:41 lr: 2.5763867779507554e-05 loss: 0.0538 (0.0623) loss_seg: 0.0583 (0.0670) loss_lansim: 0.0829 (0.0930) loss_contra: 0.0001 (0.0045) time: 2.5852 data: 0.0025 max mem: 31671 Epoch: [20] [4510/5278] eta: 0:33:15 lr: 2.5761573318279142e-05 loss: 0.0563 (0.0623) loss_seg: 0.0597 (0.0670) loss_lansim: 0.0839 (0.0930) loss_contra: 0.0001 (0.0045) time: 2.5738 data: 0.0025 max mem: 31671 Epoch: [20] [4520/5278] eta: 0:32:49 lr: 2.5759278834344196e-05 loss: 0.0541 (0.0623) loss_seg: 0.0593 (0.0670) loss_lansim: 0.0839 (0.0930) loss_contra: 0.0001 (0.0045) time: 2.5769 data: 0.0026 max mem: 31671 Epoch: [20] [4530/5278] eta: 0:32:23 lr: 2.575698432770024e-05 loss: 0.0563 (0.0623) loss_seg: 0.0597 (0.0670) loss_lansim: 0.0838 (0.0930) loss_contra: 0.0001 (0.0045) time: 2.5668 data: 0.0026 max mem: 31671 Epoch: [20] [4540/5278] eta: 0:31:57 lr: 2.575468979834481e-05 loss: 0.0526 (0.0623) loss_seg: 0.0568 (0.0669) loss_lansim: 0.0837 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5734 data: 0.0025 max mem: 31671 Epoch: [20] [4550/5278] eta: 0:31:31 lr: 2.575239524627543e-05 loss: 0.0574 (0.0623) loss_seg: 0.0623 (0.0670) loss_lansim: 0.0838 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5758 data: 0.0026 max mem: 31671 Epoch: [20] [4560/5278] eta: 0:31:05 lr: 2.575010067148962e-05 loss: 0.0571 (0.0623) loss_seg: 0.0622 (0.0670) loss_lansim: 0.0842 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5848 data: 0.0025 max mem: 31671 Epoch: [20] [4570/5278] eta: 0:30:39 lr: 2.5747806073984903e-05 loss: 0.0551 (0.0623) loss_seg: 0.0604 (0.0670) loss_lansim: 0.0842 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5832 data: 0.0025 max mem: 31671 Epoch: [20] [4580/5278] eta: 0:30:13 lr: 2.5745511453758826e-05 loss: 0.0547 (0.0623) loss_seg: 0.0597 (0.0670) loss_lansim: 0.0845 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5908 data: 0.0025 max mem: 31671 Epoch: [20] [4590/5278] eta: 0:29:47 lr: 2.574321681080889e-05 loss: 0.0541 (0.0623) loss_seg: 0.0568 (0.0670) loss_lansim: 0.0838 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5899 data: 0.0025 max mem: 31671 Epoch: [20] [4600/5278] eta: 0:29:21 lr: 2.5740922145132634e-05 loss: 0.0526 (0.0622) loss_seg: 0.0565 (0.0669) loss_lansim: 0.0835 (0.0929) loss_contra: 0.0001 (0.0045) time: 2.5877 data: 0.0025 max mem: 31671 Epoch: [20] [4610/5278] eta: 0:28:55 lr: 2.573862745672757e-05 loss: 0.0517 (0.0622) loss_seg: 0.0559 (0.0669) loss_lansim: 0.0835 (0.0928) loss_contra: 0.0001 (0.0046) time: 2.5939 data: 0.0025 max mem: 31671 Epoch: [20] [4620/5278] eta: 0:28:29 lr: 2.5736332745591242e-05 loss: 0.0502 (0.0622) loss_seg: 0.0554 (0.0669) loss_lansim: 0.0835 (0.0928) loss_contra: 0.0001 (0.0046) time: 2.5869 data: 0.0025 max mem: 31671 Epoch: [20] [4630/5278] eta: 0:28:03 lr: 2.5734038011721146e-05 loss: 0.0517 (0.0622) loss_seg: 0.0560 (0.0669) loss_lansim: 0.0836 (0.0928) loss_contra: 0.0001 (0.0046) time: 2.6013 data: 0.0025 max mem: 31671 Epoch: [20] [4640/5278] eta: 0:27:37 lr: 2.573174325511482e-05 loss: 0.0517 (0.0622) loss_seg: 0.0560 (0.0668) loss_lansim: 0.0855 (0.0928) loss_contra: 0.0001 (0.0046) time: 2.6003 data: 0.0025 max mem: 31671 Epoch: [20] [4650/5278] eta: 0:27:11 lr: 2.572944847576978e-05 loss: 0.0486 (0.0622) loss_seg: 0.0529 (0.0668) loss_lansim: 0.0855 (0.0928) loss_contra: 0.0001 (0.0046) time: 2.5965 data: 0.0025 max mem: 31671 Epoch: [20] [4660/5278] eta: 0:26:45 lr: 2.5727153673683556e-05 loss: 0.0483 (0.0622) loss_seg: 0.0529 (0.0669) loss_lansim: 0.0857 (0.0928) loss_contra: 0.0001 (0.0046) time: 2.5909 data: 0.0025 max mem: 31671 Epoch: [20] [4670/5278] eta: 0:26:19 lr: 2.572485884885366e-05 loss: 0.0486 (0.0622) loss_seg: 0.0529 (0.0668) loss_lansim: 0.0844 (0.0928) loss_contra: 0.0001 (0.0046) time: 2.5826 data: 0.0025 max mem: 31671 Epoch: [20] [4680/5278] eta: 0:25:53 lr: 2.5722564001277615e-05 loss: 0.0507 (0.0622) loss_seg: 0.0546 (0.0669) loss_lansim: 0.0854 (0.0928) loss_contra: 0.0001 (0.0046) time: 2.5761 data: 0.0025 max mem: 31671 Epoch: [20] [4690/5278] eta: 0:25:27 lr: 2.5720269130952944e-05 loss: 0.0517 (0.0623) loss_seg: 0.0560 (0.0669) loss_lansim: 0.0844 (0.0928) loss_contra: 0.0000 (0.0046) time: 2.5811 data: 0.0025 max mem: 31671 Epoch: [20] [4700/5278] eta: 0:25:01 lr: 2.5717974237877157e-05 loss: 0.0551 (0.0623) loss_seg: 0.0572 (0.0670) loss_lansim: 0.0854 (0.0927) loss_contra: 0.0000 (0.0046) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [20] [4710/5278] eta: 0:24:35 lr: 2.5715679322047792e-05 loss: 0.0551 (0.0623) loss_seg: 0.0572 (0.0670) loss_lansim: 0.0854 (0.0927) loss_contra: 0.0000 (0.0046) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [20] [4720/5278] eta: 0:24:09 lr: 2.5713384383462342e-05 loss: 0.0553 (0.0623) loss_seg: 0.0588 (0.0670) loss_lansim: 0.0857 (0.0927) loss_contra: 0.0000 (0.0045) time: 2.5939 data: 0.0026 max mem: 31671 Epoch: [20] [4730/5278] eta: 0:23:43 lr: 2.571108942211834e-05 loss: 0.0567 (0.0623) loss_seg: 0.0588 (0.0670) loss_lansim: 0.0857 (0.0927) loss_contra: 0.0000 (0.0045) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [20] [4740/5278] eta: 0:23:17 lr: 2.5708794438013294e-05 loss: 0.0567 (0.0623) loss_seg: 0.0588 (0.0670) loss_lansim: 0.0841 (0.0927) loss_contra: 0.0000 (0.0045) time: 2.5820 data: 0.0026 max mem: 31671 Epoch: [20] [4750/5278] eta: 0:22:51 lr: 2.5706499431144736e-05 loss: 0.0567 (0.0623) loss_seg: 0.0609 (0.0669) loss_lansim: 0.0830 (0.0927) loss_contra: 0.0000 (0.0045) time: 2.5791 data: 0.0026 max mem: 31671 Epoch: [20] [4760/5278] eta: 0:22:25 lr: 2.570420440151017e-05 loss: 0.0551 (0.0623) loss_seg: 0.0574 (0.0670) loss_lansim: 0.0826 (0.0926) loss_contra: 0.0000 (0.0045) time: 2.5855 data: 0.0026 max mem: 31671 Epoch: [20] [4770/5278] eta: 0:21:59 lr: 2.5701909349107106e-05 loss: 0.0561 (0.0623) loss_seg: 0.0588 (0.0670) loss_lansim: 0.0825 (0.0926) loss_contra: 0.0001 (0.0045) time: 2.5960 data: 0.0026 max mem: 31671 Epoch: [20] [4780/5278] eta: 0:21:33 lr: 2.5699614273933076e-05 loss: 0.0487 (0.0623) loss_seg: 0.0531 (0.0670) loss_lansim: 0.0816 (0.0926) loss_contra: 0.0000 (0.0045) time: 2.6057 data: 0.0026 max mem: 31671 Epoch: [20] [4790/5278] eta: 0:21:07 lr: 2.5697319175985583e-05 loss: 0.0483 (0.0623) loss_seg: 0.0530 (0.0670) loss_lansim: 0.0816 (0.0926) loss_contra: 0.0001 (0.0045) time: 2.6030 data: 0.0026 max mem: 31671 Epoch: [20] [4800/5278] eta: 0:20:42 lr: 2.5695024055262147e-05 loss: 0.0495 (0.0623) loss_seg: 0.0538 (0.0670) loss_lansim: 0.0820 (0.0926) loss_contra: 0.0001 (0.0045) time: 2.6008 data: 0.0026 max mem: 31671 Epoch: [20] [4810/5278] eta: 0:20:15 lr: 2.5692728911760273e-05 loss: 0.0495 (0.0623) loss_seg: 0.0538 (0.0670) loss_lansim: 0.0815 (0.0925) loss_contra: 0.0001 (0.0045) time: 2.5924 data: 0.0026 max mem: 31671 Epoch: [20] [4820/5278] eta: 0:19:49 lr: 2.5690433745477475e-05 loss: 0.0488 (0.0623) loss_seg: 0.0530 (0.0670) loss_lansim: 0.0808 (0.0925) loss_contra: 0.0001 (0.0045) time: 2.5937 data: 0.0026 max mem: 31671 Epoch: [20] [4830/5278] eta: 0:19:24 lr: 2.5688138556411277e-05 loss: 0.0488 (0.0623) loss_seg: 0.0529 (0.0670) loss_lansim: 0.0805 (0.0925) loss_contra: 0.0001 (0.0045) time: 2.6025 data: 0.0026 max mem: 31671 Epoch: [20] [4840/5278] eta: 0:18:58 lr: 2.5685843344559184e-05 loss: 0.0502 (0.0623) loss_seg: 0.0538 (0.0670) loss_lansim: 0.0814 (0.0925) loss_contra: 0.0000 (0.0045) time: 2.6142 data: 0.0026 max mem: 31671 Epoch: [20] [4850/5278] eta: 0:18:32 lr: 2.5683548109918704e-05 loss: 0.0502 (0.0623) loss_seg: 0.0538 (0.0670) loss_lansim: 0.0819 (0.0925) loss_contra: 0.0000 (0.0045) time: 2.6037 data: 0.0026 max mem: 31671 Epoch: [20] [4860/5278] eta: 0:18:06 lr: 2.5681252852487348e-05 loss: 0.0507 (0.0623) loss_seg: 0.0555 (0.0670) loss_lansim: 0.0822 (0.0925) loss_contra: 0.0000 (0.0045) time: 2.6019 data: 0.0026 max mem: 31671 Epoch: [20] [4870/5278] eta: 0:17:40 lr: 2.567895757226264e-05 loss: 0.0507 (0.0623) loss_seg: 0.0555 (0.0670) loss_lansim: 0.0821 (0.0924) loss_contra: 0.0000 (0.0045) time: 2.6039 data: 0.0026 max mem: 31671 Epoch: [20] [4880/5278] eta: 0:17:14 lr: 2.5676662269242067e-05 loss: 0.0509 (0.0623) loss_seg: 0.0559 (0.0669) loss_lansim: 0.0822 (0.0924) loss_contra: 0.0000 (0.0045) time: 2.5957 data: 0.0026 max mem: 31671 Epoch: [20] [4890/5278] eta: 0:16:48 lr: 2.5674366943423155e-05 loss: 0.0510 (0.0623) loss_seg: 0.0560 (0.0670) loss_lansim: 0.0822 (0.0924) loss_contra: 0.0000 (0.0044) time: 2.6052 data: 0.0025 max mem: 31671 Epoch: [20] [4900/5278] eta: 0:16:22 lr: 2.567207159480341e-05 loss: 0.0510 (0.0623) loss_seg: 0.0560 (0.0669) loss_lansim: 0.0821 (0.0924) loss_contra: 0.0000 (0.0044) time: 2.5968 data: 0.0026 max mem: 31671 Epoch: [20] [4910/5278] eta: 0:15:56 lr: 2.566977622338034e-05 loss: 0.0510 (0.0622) loss_seg: 0.0562 (0.0669) loss_lansim: 0.0822 (0.0924) loss_contra: 0.0000 (0.0044) time: 2.5972 data: 0.0026 max mem: 31671 Epoch: [20] [4920/5278] eta: 0:15:30 lr: 2.5667480829151448e-05 loss: 0.0510 (0.0622) loss_seg: 0.0562 (0.0669) loss_lansim: 0.0822 (0.0923) loss_contra: 0.0000 (0.0044) time: 2.5991 data: 0.0026 max mem: 31671 Epoch: [20] [4930/5278] eta: 0:15:04 lr: 2.5665185412114246e-05 loss: 0.0527 (0.0622) loss_seg: 0.0573 (0.0669) loss_lansim: 0.0826 (0.0923) loss_contra: 0.0000 (0.0044) time: 2.5856 data: 0.0026 max mem: 31671 Epoch: [20] [4940/5278] eta: 0:14:38 lr: 2.5662889972266234e-05 loss: 0.0510 (0.0622) loss_seg: 0.0564 (0.0669) loss_lansim: 0.0823 (0.0923) loss_contra: 0.0000 (0.0044) time: 2.5786 data: 0.0026 max mem: 31671 Epoch: [20] [4950/5278] eta: 0:14:12 lr: 2.5660594509604928e-05 loss: 0.0517 (0.0622) loss_seg: 0.0568 (0.0669) loss_lansim: 0.0819 (0.0923) loss_contra: 0.0000 (0.0044) time: 2.5914 data: 0.0026 max mem: 31671 Epoch: [20] [4960/5278] eta: 0:13:46 lr: 2.5658299024127834e-05 loss: 0.0517 (0.0622) loss_seg: 0.0568 (0.0669) loss_lansim: 0.0822 (0.0923) loss_contra: 0.0000 (0.0045) time: 2.5830 data: 0.0026 max mem: 31671 Epoch: [20] [4970/5278] eta: 0:13:20 lr: 2.565600351583245e-05 loss: 0.0517 (0.0622) loss_seg: 0.0568 (0.0669) loss_lansim: 0.0820 (0.0923) loss_contra: 0.0000 (0.0045) time: 2.5777 data: 0.0026 max mem: 31671 Epoch: [20] [4980/5278] eta: 0:12:54 lr: 2.565370798471628e-05 loss: 0.0517 (0.0623) loss_seg: 0.0568 (0.0670) loss_lansim: 0.0817 (0.0922) loss_contra: 0.0000 (0.0045) time: 2.5812 data: 0.0026 max mem: 31671 Epoch: [20] [4990/5278] eta: 0:12:28 lr: 2.5651412430776833e-05 loss: 0.0566 (0.0623) loss_seg: 0.0574 (0.0670) loss_lansim: 0.0816 (0.0922) loss_contra: 0.0000 (0.0045) time: 2.5731 data: 0.0026 max mem: 31671 Epoch: [20] [5000/5278] eta: 0:12:02 lr: 2.5649116854011616e-05 loss: 0.0566 (0.0623) loss_seg: 0.0574 (0.0670) loss_lansim: 0.0816 (0.0922) loss_contra: 0.0000 (0.0045) time: 2.5823 data: 0.0026 max mem: 31671 Epoch: [20] [5010/5278] eta: 0:11:36 lr: 2.5646821254418123e-05 loss: 0.0557 (0.0624) loss_seg: 0.0574 (0.0671) loss_lansim: 0.0808 (0.0922) loss_contra: 0.0000 (0.0045) time: 2.5798 data: 0.0026 max mem: 31671 Epoch: [20] [5020/5278] eta: 0:11:10 lr: 2.564452563199386e-05 loss: 0.0568 (0.0624) loss_seg: 0.0627 (0.0671) loss_lansim: 0.0811 (0.0921) loss_contra: 0.0000 (0.0045) time: 2.5817 data: 0.0026 max mem: 31671 Epoch: [20] [5030/5278] eta: 0:10:44 lr: 2.5642229986736327e-05 loss: 0.0553 (0.0624) loss_seg: 0.0612 (0.0671) loss_lansim: 0.0804 (0.0921) loss_contra: 0.0001 (0.0045) time: 2.5898 data: 0.0026 max mem: 31671 Epoch: [20] [5040/5278] eta: 0:10:18 lr: 2.563993431864304e-05 loss: 0.0559 (0.0624) loss_seg: 0.0619 (0.0671) loss_lansim: 0.0800 (0.0921) loss_contra: 0.0001 (0.0045) time: 2.5986 data: 0.0026 max mem: 31671 Epoch: [20] [5050/5278] eta: 0:09:52 lr: 2.563763862771148e-05 loss: 0.0568 (0.0624) loss_seg: 0.0631 (0.0671) loss_lansim: 0.0800 (0.0921) loss_contra: 0.0001 (0.0045) time: 2.5952 data: 0.0026 max mem: 31671 Epoch: [20] [5060/5278] eta: 0:09:26 lr: 2.5635342913939155e-05 loss: 0.0594 (0.0625) loss_seg: 0.0657 (0.0672) loss_lansim: 0.0777 (0.0920) loss_contra: 0.0001 (0.0045) time: 2.6013 data: 0.0026 max mem: 31671 Epoch: [20] [5070/5278] eta: 0:09:00 lr: 2.5633047177323564e-05 loss: 0.0598 (0.0625) loss_seg: 0.0663 (0.0672) loss_lansim: 0.0769 (0.0920) loss_contra: 0.0001 (0.0045) time: 2.6108 data: 0.0026 max mem: 31671 Epoch: [20] [5080/5278] eta: 0:08:34 lr: 2.5630751417862215e-05 loss: 0.0594 (0.0625) loss_seg: 0.0657 (0.0672) loss_lansim: 0.0763 (0.0920) loss_contra: 0.0001 (0.0045) time: 2.6060 data: 0.0026 max mem: 31671 Epoch: [20] [5090/5278] eta: 0:08:08 lr: 2.5628455635552595e-05 loss: 0.0588 (0.0625) loss_seg: 0.0650 (0.0672) loss_lansim: 0.0763 (0.0919) loss_contra: 0.0001 (0.0045) time: 2.5997 data: 0.0026 max mem: 31671 Epoch: [20] [5100/5278] eta: 0:07:42 lr: 2.562615983039221e-05 loss: 0.0594 (0.0625) loss_seg: 0.0651 (0.0672) loss_lansim: 0.0760 (0.0919) loss_contra: 0.0001 (0.0045) time: 2.5890 data: 0.0026 max mem: 31671 Epoch: [20] [5110/5278] eta: 0:07:16 lr: 2.5623864002378555e-05 loss: 0.0594 (0.0626) loss_seg: 0.0651 (0.0673) loss_lansim: 0.0769 (0.0919) loss_contra: 0.0001 (0.0045) time: 2.5958 data: 0.0026 max mem: 31671 Epoch: [20] [5120/5278] eta: 0:06:50 lr: 2.5621568151509134e-05 loss: 0.0589 (0.0625) loss_seg: 0.0650 (0.0672) loss_lansim: 0.0760 (0.0919) loss_contra: 0.0001 (0.0044) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [20] [5130/5278] eta: 0:06:24 lr: 2.561927227778143e-05 loss: 0.0589 (0.0625) loss_seg: 0.0646 (0.0672) loss_lansim: 0.0764 (0.0918) loss_contra: 0.0001 (0.0044) time: 2.6019 data: 0.0026 max mem: 31671 Epoch: [20] [5140/5278] eta: 0:05:58 lr: 2.5616976381192948e-05 loss: 0.0589 (0.0625) loss_seg: 0.0617 (0.0672) loss_lansim: 0.0777 (0.0918) loss_contra: 0.0001 (0.0044) time: 2.5915 data: 0.0026 max mem: 31671 Epoch: [20] [5150/5278] eta: 0:05:32 lr: 2.561468046174118e-05 loss: 0.0549 (0.0625) loss_seg: 0.0581 (0.0672) loss_lansim: 0.0779 (0.0918) loss_contra: 0.0001 (0.0044) time: 2.5905 data: 0.0026 max mem: 31671 Epoch: [20] [5160/5278] eta: 0:05:06 lr: 2.561238451942363e-05 loss: 0.0540 (0.0625) loss_seg: 0.0580 (0.0672) loss_lansim: 0.0782 (0.0918) loss_contra: 0.0001 (0.0044) time: 2.5876 data: 0.0026 max mem: 31671 Epoch: [20] [5170/5278] eta: 0:04:40 lr: 2.561008855423779e-05 loss: 0.0533 (0.0625) loss_seg: 0.0581 (0.0672) loss_lansim: 0.0782 (0.0917) loss_contra: 0.0001 (0.0044) time: 2.5851 data: 0.0026 max mem: 31671 Epoch: [20] [5180/5278] eta: 0:04:14 lr: 2.5607792566181142e-05 loss: 0.0549 (0.0625) loss_seg: 0.0581 (0.0672) loss_lansim: 0.0788 (0.0917) loss_contra: 0.0000 (0.0044) time: 2.5870 data: 0.0026 max mem: 31671 Epoch: [20] [5190/5278] eta: 0:03:48 lr: 2.5605496555251195e-05 loss: 0.0532 (0.0625) loss_seg: 0.0577 (0.0672) loss_lansim: 0.0787 (0.0917) loss_contra: 0.0001 (0.0044) time: 2.5916 data: 0.0026 max mem: 31671 Epoch: [20] [5200/5278] eta: 0:03:22 lr: 2.560320052144543e-05 loss: 0.0532 (0.0625) loss_seg: 0.0577 (0.0672) loss_lansim: 0.0787 (0.0917) loss_contra: 0.0001 (0.0044) time: 2.5931 data: 0.0026 max mem: 31671 Epoch: [20] [5210/5278] eta: 0:02:56 lr: 2.5600904464761356e-05 loss: 0.0533 (0.0625) loss_seg: 0.0580 (0.0672) loss_lansim: 0.0776 (0.0916) loss_contra: 0.0001 (0.0044) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [20] [5220/5278] eta: 0:02:30 lr: 2.559860838519645e-05 loss: 0.0545 (0.0625) loss_seg: 0.0583 (0.0672) loss_lansim: 0.0777 (0.0916) loss_contra: 0.0001 (0.0044) time: 2.5846 data: 0.0026 max mem: 31671 Epoch: [20] [5230/5278] eta: 0:02:04 lr: 2.5596312282748204e-05 loss: 0.0549 (0.0625) loss_seg: 0.0583 (0.0672) loss_lansim: 0.0771 (0.0916) loss_contra: 0.0001 (0.0044) time: 2.5777 data: 0.0025 max mem: 31671 Epoch: [20] [5240/5278] eta: 0:01:38 lr: 2.5594016157414114e-05 loss: 0.0557 (0.0625) loss_seg: 0.0588 (0.0672) loss_lansim: 0.0762 (0.0915) loss_contra: 0.0001 (0.0044) time: 2.5795 data: 0.0025 max mem: 31671 Epoch: [20] [5250/5278] eta: 0:01:12 lr: 2.559172000919168e-05 loss: 0.0545 (0.0625) loss_seg: 0.0588 (0.0672) loss_lansim: 0.0752 (0.0915) loss_contra: 0.0000 (0.0044) time: 2.5800 data: 0.0025 max mem: 31671 Epoch: [20] [5260/5278] eta: 0:00:46 lr: 2.5589423838078375e-05 loss: 0.0564 (0.0625) loss_seg: 0.0592 (0.0672) loss_lansim: 0.0752 (0.0915) loss_contra: 0.0000 (0.0044) time: 2.5873 data: 0.0026 max mem: 31671 Epoch: [20] [5270/5278] eta: 0:00:20 lr: 2.558712764407169e-05 loss: 0.0564 (0.0625) loss_seg: 0.0592 (0.0672) loss_lansim: 0.0752 (0.0915) loss_contra: 0.0000 (0.0044) time: 2.5823 data: 0.0025 max mem: 31671 Epoch: [20] Total time: 3:48:31 Test: [ 0/2573] eta: 1:36:56 time: 2.2606 data: 2.0785 max mem: 31671 Test: [ 100/2573] eta: 0:06:42 time: 0.1416 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:08 time: 0.1481 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:44 time: 0.1439 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:26 time: 0.1455 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:09 time: 0.1467 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:54 time: 0.1479 data: 0.0016 max mem: 31671 Test: [ 700/2573] eta: 0:04:40 time: 0.1531 data: 0.0017 max mem: 31671 Test: [ 800/2573] eta: 0:04:25 time: 0.1492 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:10 time: 0.1488 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:55 time: 0.1482 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:39 time: 0.1456 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:24 time: 0.1480 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:09 time: 0.1464 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:53 time: 0.1419 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:39 time: 0.1471 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:24 time: 0.1478 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:09 time: 0.1470 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1434 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1430 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1422 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1481 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1428 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1458 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1445 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1474 data: 0.0016 max mem: 31671 Test: Total time: 0:06:18 Final results: precision@0.5 = 67.75 precision@0.6 = 62.83 precision@0.7 = 55.37 precision@0.8 = 43.59 precision@0.9 = 21.49 overall IoU = 57.30 mean IoU = 59.63 Average object IoU 0.5962804862618171 Overall IoU 57.29995145333897 Epoch: [21] [ 0/5278] eta: 12:31:54 lr: 2.5585290672381435e-05 loss: 0.0388 (0.0388) loss_seg: 0.0425 (0.0425) loss_lansim: 0.0993 (0.0993) loss_contra: 0.0016 (0.0016) time: 8.5477 data: 1.4519 max mem: 31671 Epoch: [21] [ 10/5278] eta: 4:35:12 lr: 2.558299443716035e-05 loss: 0.0421 (0.0507) loss_seg: 0.0443 (0.0537) loss_lansim: 0.0811 (0.0843) loss_contra: 0.0002 (0.0024) time: 3.1346 data: 0.1339 max mem: 31671 Epoch: [21] [ 20/5278] eta: 4:12:51 lr: 2.558069817903886e-05 loss: 0.0421 (0.0472) loss_seg: 0.0443 (0.0504) loss_lansim: 0.0789 (0.0826) loss_contra: 0.0002 (0.0022) time: 2.8854 data: 0.0711 max mem: 31671 Epoch: [21] [ 30/5278] eta: 4:06:52 lr: 2.5578401898014453e-05 loss: 0.0421 (0.0493) loss_seg: 0.0436 (0.0525) loss_lansim: 0.0789 (0.0821) loss_contra: 0.0002 (0.0016) time: 2.8226 data: 0.0490 max mem: 31671 Epoch: [21] [ 40/5278] eta: 4:02:43 lr: 2.5576105594084614e-05 loss: 0.0435 (0.0528) loss_seg: 0.0446 (0.0558) loss_lansim: 0.0767 (0.0807) loss_contra: 0.0002 (0.0019) time: 2.7803 data: 0.0377 max mem: 31671 Epoch: [21] [ 50/5278] eta: 3:58:16 lr: 2.557380926724683e-05 loss: 0.0424 (0.0500) loss_seg: 0.0443 (0.0528) loss_lansim: 0.0771 (0.0804) loss_contra: 0.0001 (0.0025) time: 2.7346 data: 0.0309 max mem: 31671 Epoch: [21] [ 60/5278] eta: 3:56:29 lr: 2.557151291749858e-05 loss: 0.0402 (0.0480) loss_seg: 0.0436 (0.0508) loss_lansim: 0.0771 (0.0800) loss_contra: 0.0000 (0.0021) time: 2.7193 data: 0.0263 max mem: 31671 Epoch: [21] [ 70/5278] eta: 3:54:27 lr: 2.5569216544837365e-05 loss: 0.0417 (0.0510) loss_seg: 0.0443 (0.0545) loss_lansim: 0.0788 (0.0809) loss_contra: 0.0001 (0.0019) time: 2.7012 data: 0.0229 max mem: 31671 Epoch: [21] [ 80/5278] eta: 3:52:50 lr: 2.5566920149260655e-05 loss: 0.0407 (0.0504) loss_seg: 0.0438 (0.0540) loss_lansim: 0.0788 (0.0807) loss_contra: 0.0001 (0.0017) time: 2.6877 data: 0.0204 max mem: 31671 Epoch: [21] [ 90/5278] eta: 3:51:47 lr: 2.556462373076594e-05 loss: 0.0417 (0.0501) loss_seg: 0.0438 (0.0537) loss_lansim: 0.0789 (0.0809) loss_contra: 0.0000 (0.0016) time: 2.6807 data: 0.0185 max mem: 31671 Epoch: [21] [ 100/5278] eta: 3:50:17 lr: 2.55623272893507e-05 loss: 0.0424 (0.0508) loss_seg: 0.0446 (0.0543) loss_lansim: 0.0789 (0.0812) loss_contra: 0.0000 (0.0018) time: 2.6097 data: 0.0026 max mem: 31671 Epoch: [21] [ 110/5278] eta: 3:48:43 lr: 2.5560030825012433e-05 loss: 0.0428 (0.0509) loss_seg: 0.0447 (0.0544) loss_lansim: 0.0791 (0.0811) loss_contra: 0.0000 (0.0019) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [21] [ 120/5278] eta: 3:47:32 lr: 2.55577343377486e-05 loss: 0.0424 (0.0502) loss_seg: 0.0447 (0.0537) loss_lansim: 0.0795 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.5968 data: 0.0027 max mem: 31671 Epoch: [21] [ 130/5278] eta: 3:46:24 lr: 2.55554378275567e-05 loss: 0.0424 (0.0500) loss_seg: 0.0458 (0.0535) loss_lansim: 0.0791 (0.0805) loss_contra: 0.0000 (0.0020) time: 2.5818 data: 0.0027 max mem: 31671 Epoch: [21] [ 140/5278] eta: 3:45:51 lr: 2.5553141294434202e-05 loss: 0.0428 (0.0511) loss_seg: 0.0467 (0.0548) loss_lansim: 0.0798 (0.0804) loss_contra: 0.0000 (0.0025) time: 2.5790 data: 0.0027 max mem: 31671 Epoch: [21] [ 150/5278] eta: 3:45:25 lr: 2.5550844738378603e-05 loss: 0.0445 (0.0515) loss_seg: 0.0470 (0.0553) loss_lansim: 0.0802 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.5882 data: 0.0026 max mem: 31671 Epoch: [21] [ 160/5278] eta: 3:44:38 lr: 2.554854815938737e-05 loss: 0.0459 (0.0516) loss_seg: 0.0480 (0.0554) loss_lansim: 0.0807 (0.0809) loss_contra: 0.0001 (0.0023) time: 2.5813 data: 0.0026 max mem: 31671 Epoch: [21] [ 170/5278] eta: 3:44:04 lr: 2.5546251557457986e-05 loss: 0.0445 (0.0511) loss_seg: 0.0479 (0.0549) loss_lansim: 0.0812 (0.0812) loss_contra: 0.0000 (0.0021) time: 2.5830 data: 0.0026 max mem: 31671 Epoch: [21] [ 180/5278] eta: 3:43:38 lr: 2.5543954932587926e-05 loss: 0.0461 (0.0514) loss_seg: 0.0485 (0.0552) loss_lansim: 0.0816 (0.0810) loss_contra: 0.0000 (0.0020) time: 2.5870 data: 0.0026 max mem: 31671 Epoch: [21] [ 190/5278] eta: 3:42:55 lr: 2.5541658284774684e-05 loss: 0.0470 (0.0516) loss_seg: 0.0505 (0.0553) loss_lansim: 0.0816 (0.0812) loss_contra: 0.0000 (0.0020) time: 2.5814 data: 0.0025 max mem: 31671 Epoch: [21] [ 200/5278] eta: 3:42:29 lr: 2.5539361614015733e-05 loss: 0.0461 (0.0517) loss_seg: 0.0481 (0.0555) loss_lansim: 0.0813 (0.0811) loss_contra: 0.0000 (0.0019) time: 2.5890 data: 0.0025 max mem: 31671 Epoch: [21] [ 210/5278] eta: 3:42:02 lr: 2.553706492030854e-05 loss: 0.0464 (0.0522) loss_seg: 0.0509 (0.0561) loss_lansim: 0.0812 (0.0810) loss_contra: 0.0000 (0.0019) time: 2.5992 data: 0.0025 max mem: 31671 Epoch: [21] [ 220/5278] eta: 3:41:25 lr: 2.5534768203650594e-05 loss: 0.0470 (0.0519) loss_seg: 0.0505 (0.0558) loss_lansim: 0.0813 (0.0811) loss_contra: 0.0000 (0.0018) time: 2.6020 data: 0.0025 max mem: 31671 Epoch: [21] [ 230/5278] eta: 3:40:39 lr: 2.5532471464039364e-05 loss: 0.0474 (0.0520) loss_seg: 0.0511 (0.0558) loss_lansim: 0.0821 (0.0811) loss_contra: 0.0000 (0.0019) time: 2.6017 data: 0.0025 max mem: 31671 Epoch: [21] [ 240/5278] eta: 3:39:58 lr: 2.5530174701472338e-05 loss: 0.0470 (0.0524) loss_seg: 0.0505 (0.0562) loss_lansim: 0.0831 (0.0818) loss_contra: 0.0000 (0.0019) time: 2.5948 data: 0.0026 max mem: 31671 Epoch: [21] [ 250/5278] eta: 3:39:27 lr: 2.552787791594698e-05 loss: 0.0474 (0.0544) loss_seg: 0.0510 (0.0585) loss_lansim: 0.0824 (0.0819) loss_contra: 0.0000 (0.0022) time: 2.5903 data: 0.0026 max mem: 31671 Epoch: [21] [ 260/5278] eta: 3:38:45 lr: 2.5525581107460766e-05 loss: 0.0491 (0.0562) loss_seg: 0.0524 (0.0603) loss_lansim: 0.0831 (0.0822) loss_contra: 0.0001 (0.0023) time: 2.5867 data: 0.0026 max mem: 31671 Epoch: [21] [ 270/5278] eta: 3:38:15 lr: 2.5523284276011178e-05 loss: 0.0492 (0.0560) loss_seg: 0.0537 (0.0601) loss_lansim: 0.0831 (0.0822) loss_contra: 0.0001 (0.0035) time: 2.5854 data: 0.0026 max mem: 31671 Epoch: [21] [ 280/5278] eta: 3:37:33 lr: 2.5520987421595687e-05 loss: 0.0489 (0.0567) loss_seg: 0.0520 (0.0608) loss_lansim: 0.0851 (0.0826) loss_contra: 0.0001 (0.0034) time: 2.5752 data: 0.0026 max mem: 31671 Epoch: [21] [ 290/5278] eta: 3:37:02 lr: 2.5518690544211766e-05 loss: 0.0506 (0.0569) loss_seg: 0.0537 (0.0610) loss_lansim: 0.0851 (0.0828) loss_contra: 0.0001 (0.0034) time: 2.5762 data: 0.0026 max mem: 31671 Epoch: [21] [ 300/5278] eta: 3:36:22 lr: 2.5516393643856888e-05 loss: 0.0514 (0.0568) loss_seg: 0.0557 (0.0609) loss_lansim: 0.0873 (0.0830) loss_contra: 0.0001 (0.0033) time: 2.5661 data: 0.0025 max mem: 31671 Epoch: [21] [ 310/5278] eta: 3:35:54 lr: 2.551409672052853e-05 loss: 0.0505 (0.0565) loss_seg: 0.0537 (0.0606) loss_lansim: 0.0879 (0.0831) loss_contra: 0.0001 (0.0032) time: 2.5630 data: 0.0026 max mem: 31671 Epoch: [21] [ 320/5278] eta: 3:35:37 lr: 2.551179977422416e-05 loss: 0.0533 (0.0566) loss_seg: 0.0557 (0.0607) loss_lansim: 0.0877 (0.0831) loss_contra: 0.0001 (0.0032) time: 2.5715 data: 0.0026 max mem: 31671 Epoch: [21] [ 330/5278] eta: 3:35:04 lr: 2.550950280494125e-05 loss: 0.0526 (0.0565) loss_seg: 0.0557 (0.0606) loss_lansim: 0.0883 (0.0832) loss_contra: 0.0001 (0.0031) time: 2.5738 data: 0.0026 max mem: 31671 Epoch: [21] [ 340/5278] eta: 3:34:36 lr: 2.550720581267727e-05 loss: 0.0538 (0.0567) loss_seg: 0.0582 (0.0607) loss_lansim: 0.0886 (0.0835) loss_contra: 0.0001 (0.0035) time: 2.5781 data: 0.0025 max mem: 31671 Epoch: [21] [ 350/5278] eta: 3:34:22 lr: 2.5504908797429687e-05 loss: 0.0514 (0.0565) loss_seg: 0.0552 (0.0605) loss_lansim: 0.0886 (0.0836) loss_contra: 0.0001 (0.0034) time: 2.5879 data: 0.0025 max mem: 31671 Epoch: [21] [ 360/5278] eta: 3:33:46 lr: 2.550261175919599e-05 loss: 0.0506 (0.0564) loss_seg: 0.0508 (0.0604) loss_lansim: 0.0877 (0.0835) loss_contra: 0.0001 (0.0046) time: 2.5885 data: 0.0025 max mem: 31671 Epoch: [21] [ 370/5278] eta: 3:33:14 lr: 2.5500314697973626e-05 loss: 0.0514 (0.0581) loss_seg: 0.0557 (0.0623) loss_lansim: 0.0868 (0.0836) loss_contra: 0.0001 (0.0045) time: 2.5850 data: 0.0025 max mem: 31671 Epoch: [21] [ 380/5278] eta: 3:32:44 lr: 2.5498017613760072e-05 loss: 0.0509 (0.0580) loss_seg: 0.0552 (0.0622) loss_lansim: 0.0865 (0.0837) loss_contra: 0.0001 (0.0045) time: 2.5898 data: 0.0025 max mem: 31671 Epoch: [21] [ 390/5278] eta: 3:32:13 lr: 2.5495720506552796e-05 loss: 0.0486 (0.0579) loss_seg: 0.0523 (0.0621) loss_lansim: 0.0864 (0.0838) loss_contra: 0.0001 (0.0044) time: 2.5884 data: 0.0026 max mem: 31671 Epoch: [21] [ 400/5278] eta: 3:31:49 lr: 2.5493423376349273e-05 loss: 0.0480 (0.0576) loss_seg: 0.0508 (0.0618) loss_lansim: 0.0844 (0.0836) loss_contra: 0.0001 (0.0043) time: 2.5977 data: 0.0026 max mem: 31671 Epoch: [21] [ 410/5278] eta: 3:31:35 lr: 2.549112622314696e-05 loss: 0.0477 (0.0572) loss_seg: 0.0502 (0.0614) loss_lansim: 0.0844 (0.0837) loss_contra: 0.0001 (0.0050) time: 2.6089 data: 0.0026 max mem: 31671 Epoch: [21] [ 420/5278] eta: 3:31:13 lr: 2.5488829046943323e-05 loss: 0.0453 (0.0570) loss_seg: 0.0499 (0.0611) loss_lansim: 0.0850 (0.0839) loss_contra: 0.0001 (0.0049) time: 2.6064 data: 0.0026 max mem: 31671 Epoch: [21] [ 430/5278] eta: 3:30:42 lr: 2.548653184773584e-05 loss: 0.0447 (0.0566) loss_seg: 0.0492 (0.0607) loss_lansim: 0.0850 (0.0839) loss_contra: 0.0001 (0.0050) time: 2.6068 data: 0.0026 max mem: 31671 Epoch: [21] [ 440/5278] eta: 3:30:14 lr: 2.548423462552197e-05 loss: 0.0447 (0.0565) loss_seg: 0.0485 (0.0606) loss_lansim: 0.0843 (0.0839) loss_contra: 0.0001 (0.0049) time: 2.6069 data: 0.0026 max mem: 31671 Epoch: [21] [ 450/5278] eta: 3:29:41 lr: 2.548193738029918e-05 loss: 0.0434 (0.0563) loss_seg: 0.0475 (0.0604) loss_lansim: 0.0844 (0.0840) loss_contra: 0.0001 (0.0048) time: 2.5918 data: 0.0026 max mem: 31671 Epoch: [21] [ 460/5278] eta: 3:29:21 lr: 2.5479640112064934e-05 loss: 0.0423 (0.0563) loss_seg: 0.0465 (0.0604) loss_lansim: 0.0856 (0.0840) loss_contra: 0.0001 (0.0048) time: 2.6041 data: 0.0026 max mem: 31671 Epoch: [21] [ 470/5278] eta: 3:28:52 lr: 2.547734282081669e-05 loss: 0.0434 (0.0563) loss_seg: 0.0468 (0.0604) loss_lansim: 0.0856 (0.0840) loss_contra: 0.0001 (0.0047) time: 2.6054 data: 0.0026 max mem: 31671 Epoch: [21] [ 480/5278] eta: 3:28:19 lr: 2.547504550655192e-05 loss: 0.0466 (0.0564) loss_seg: 0.0499 (0.0605) loss_lansim: 0.0844 (0.0840) loss_contra: 0.0001 (0.0047) time: 2.6022 data: 0.0026 max mem: 31671 Epoch: [21] [ 490/5278] eta: 3:27:54 lr: 2.547274816926809e-05 loss: 0.0459 (0.0563) loss_seg: 0.0499 (0.0604) loss_lansim: 0.0843 (0.0840) loss_contra: 0.0001 (0.0046) time: 2.6065 data: 0.0026 max mem: 31671 Epoch: [21] [ 500/5278] eta: 3:27:28 lr: 2.5470450808962648e-05 loss: 0.0466 (0.0566) loss_seg: 0.0499 (0.0606) loss_lansim: 0.0861 (0.0842) loss_contra: 0.0001 (0.0046) time: 2.6047 data: 0.0026 max mem: 31671 Epoch: [21] [ 510/5278] eta: 3:27:02 lr: 2.546815342563307e-05 loss: 0.0466 (0.0564) loss_seg: 0.0499 (0.0605) loss_lansim: 0.0846 (0.0840) loss_contra: 0.0001 (0.0045) time: 2.5954 data: 0.0026 max mem: 31671 Epoch: [21] [ 520/5278] eta: 3:26:36 lr: 2.5465856019276806e-05 loss: 0.0485 (0.0565) loss_seg: 0.0514 (0.0607) loss_lansim: 0.0846 (0.0843) loss_contra: 0.0001 (0.0044) time: 2.5919 data: 0.0026 max mem: 31671 Epoch: [21] [ 530/5278] eta: 3:26:09 lr: 2.5463558589891335e-05 loss: 0.0472 (0.0563) loss_seg: 0.0511 (0.0604) loss_lansim: 0.0856 (0.0843) loss_contra: 0.0001 (0.0044) time: 2.5942 data: 0.0026 max mem: 31671 Epoch: [21] [ 540/5278] eta: 3:25:38 lr: 2.5461261137474097e-05 loss: 0.0472 (0.0562) loss_seg: 0.0514 (0.0603) loss_lansim: 0.0843 (0.0844) loss_contra: 0.0000 (0.0043) time: 2.5893 data: 0.0025 max mem: 31671 Epoch: [21] [ 550/5278] eta: 3:25:11 lr: 2.545896366202256e-05 loss: 0.0504 (0.0563) loss_seg: 0.0550 (0.0603) loss_lansim: 0.0837 (0.0844) loss_contra: 0.0000 (0.0043) time: 2.5955 data: 0.0025 max mem: 31671 Epoch: [21] [ 560/5278] eta: 3:24:41 lr: 2.5456666163534188e-05 loss: 0.0511 (0.0562) loss_seg: 0.0554 (0.0603) loss_lansim: 0.0834 (0.0845) loss_contra: 0.0000 (0.0042) time: 2.5835 data: 0.0025 max mem: 31671 Epoch: [21] [ 570/5278] eta: 3:24:11 lr: 2.5454368642006438e-05 loss: 0.0501 (0.0563) loss_seg: 0.0546 (0.0605) loss_lansim: 0.0838 (0.0845) loss_contra: 0.0000 (0.0041) time: 2.5822 data: 0.0025 max mem: 31671 Epoch: [21] [ 580/5278] eta: 3:23:49 lr: 2.5452071097436765e-05 loss: 0.0493 (0.0562) loss_seg: 0.0545 (0.0604) loss_lansim: 0.0838 (0.0845) loss_contra: 0.0000 (0.0041) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [21] [ 590/5278] eta: 3:23:25 lr: 2.5449773529822623e-05 loss: 0.0490 (0.0562) loss_seg: 0.0539 (0.0604) loss_lansim: 0.0838 (0.0844) loss_contra: 0.0001 (0.0040) time: 2.5954 data: 0.0025 max mem: 31671 Epoch: [21] [ 600/5278] eta: 3:22:54 lr: 2.5447475939161473e-05 loss: 0.0490 (0.0561) loss_seg: 0.0539 (0.0603) loss_lansim: 0.0831 (0.0843) loss_contra: 0.0001 (0.0040) time: 2.5886 data: 0.0025 max mem: 31671 Epoch: [21] [ 610/5278] eta: 3:22:26 lr: 2.5445178325450785e-05 loss: 0.0490 (0.0568) loss_seg: 0.0539 (0.0611) loss_lansim: 0.0829 (0.0842) loss_contra: 0.0000 (0.0039) time: 2.5851 data: 0.0026 max mem: 31671 Epoch: [21] [ 620/5278] eta: 3:21:54 lr: 2.5442880688687993e-05 loss: 0.0480 (0.0567) loss_seg: 0.0529 (0.0609) loss_lansim: 0.0825 (0.0842) loss_contra: 0.0000 (0.0038) time: 2.5761 data: 0.0026 max mem: 31671 Epoch: [21] [ 630/5278] eta: 3:21:28 lr: 2.5440583028870568e-05 loss: 0.0501 (0.0568) loss_seg: 0.0553 (0.0611) loss_lansim: 0.0825 (0.0842) loss_contra: 0.0000 (0.0038) time: 2.5784 data: 0.0026 max mem: 31671 Epoch: [21] [ 640/5278] eta: 3:21:00 lr: 2.5438285345995956e-05 loss: 0.0501 (0.0569) loss_seg: 0.0550 (0.0611) loss_lansim: 0.0829 (0.0842) loss_contra: 0.0000 (0.0037) time: 2.5797 data: 0.0026 max mem: 31671 Epoch: [21] [ 650/5278] eta: 3:20:34 lr: 2.5435987640061622e-05 loss: 0.0493 (0.0572) loss_seg: 0.0545 (0.0615) loss_lansim: 0.0831 (0.0844) loss_contra: 0.0001 (0.0037) time: 2.5795 data: 0.0026 max mem: 31671 Epoch: [21] [ 660/5278] eta: 3:20:08 lr: 2.5433689911065006e-05 loss: 0.0489 (0.0572) loss_seg: 0.0535 (0.0615) loss_lansim: 0.0830 (0.0843) loss_contra: 0.0001 (0.0041) time: 2.5851 data: 0.0026 max mem: 31671 Epoch: [21] [ 670/5278] eta: 3:19:37 lr: 2.543139215900357e-05 loss: 0.0493 (0.0574) loss_seg: 0.0545 (0.0617) loss_lansim: 0.0827 (0.0843) loss_contra: 0.0001 (0.0040) time: 2.5823 data: 0.0026 max mem: 31671 Epoch: [21] [ 680/5278] eta: 3:19:07 lr: 2.542909438387477e-05 loss: 0.0489 (0.0581) loss_seg: 0.0535 (0.0625) loss_lansim: 0.0830 (0.0843) loss_contra: 0.0001 (0.0042) time: 2.5712 data: 0.0026 max mem: 31671 Epoch: [21] [ 690/5278] eta: 3:18:35 lr: 2.542679658567605e-05 loss: 0.0502 (0.0582) loss_seg: 0.0553 (0.0626) loss_lansim: 0.0824 (0.0843) loss_contra: 0.0001 (0.0041) time: 2.5579 data: 0.0026 max mem: 31671 Epoch: [21] [ 700/5278] eta: 3:18:08 lr: 2.5424498764404868e-05 loss: 0.0531 (0.0586) loss_seg: 0.0587 (0.0630) loss_lansim: 0.0830 (0.0843) loss_contra: 0.0000 (0.0041) time: 2.5636 data: 0.0026 max mem: 31671 Epoch: [21] [ 710/5278] eta: 3:17:45 lr: 2.5422200920058675e-05 loss: 0.0541 (0.0589) loss_seg: 0.0592 (0.0633) loss_lansim: 0.0849 (0.0844) loss_contra: 0.0001 (0.0040) time: 2.5690 data: 0.0026 max mem: 31671 Epoch: [21] [ 720/5278] eta: 3:17:15 lr: 2.541990305263492e-05 loss: 0.0546 (0.0589) loss_seg: 0.0598 (0.0633) loss_lansim: 0.0857 (0.0845) loss_contra: 0.0001 (0.0041) time: 2.5715 data: 0.0026 max mem: 31671 Epoch: [21] [ 730/5278] eta: 3:16:46 lr: 2.5417605162131046e-05 loss: 0.0531 (0.0588) loss_seg: 0.0574 (0.0632) loss_lansim: 0.0866 (0.0846) loss_contra: 0.0001 (0.0040) time: 2.5650 data: 0.0026 max mem: 31671 Epoch: [21] [ 740/5278] eta: 3:16:21 lr: 2.541530724854452e-05 loss: 0.0546 (0.0587) loss_seg: 0.0598 (0.0631) loss_lansim: 0.0871 (0.0846) loss_contra: 0.0001 (0.0040) time: 2.5705 data: 0.0026 max mem: 31671 Epoch: [21] [ 750/5278] eta: 3:15:54 lr: 2.541300931187278e-05 loss: 0.0536 (0.0586) loss_seg: 0.0587 (0.0629) loss_lansim: 0.0868 (0.0847) loss_contra: 0.0001 (0.0039) time: 2.5684 data: 0.0026 max mem: 31671 Epoch: [21] [ 760/5278] eta: 3:15:30 lr: 2.5410711352113274e-05 loss: 0.0531 (0.0587) loss_seg: 0.0584 (0.0631) loss_lansim: 0.0872 (0.0847) loss_contra: 0.0001 (0.0039) time: 2.5702 data: 0.0026 max mem: 31671 Epoch: [21] [ 770/5278] eta: 3:15:05 lr: 2.5408413369263452e-05 loss: 0.0493 (0.0585) loss_seg: 0.0540 (0.0629) loss_lansim: 0.0877 (0.0847) loss_contra: 0.0001 (0.0039) time: 2.5780 data: 0.0026 max mem: 31671 Epoch: [21] [ 780/5278] eta: 3:14:34 lr: 2.540611536332077e-05 loss: 0.0515 (0.0586) loss_seg: 0.0540 (0.0630) loss_lansim: 0.0877 (0.0847) loss_contra: 0.0001 (0.0038) time: 2.5746 data: 0.0026 max mem: 31671 Epoch: [21] [ 790/5278] eta: 3:14:02 lr: 2.540381733428266e-05 loss: 0.0488 (0.0589) loss_seg: 0.0534 (0.0632) loss_lansim: 0.0888 (0.0849) loss_contra: 0.0001 (0.0038) time: 2.5737 data: 0.0026 max mem: 31671 Epoch: [21] [ 800/5278] eta: 3:13:35 lr: 2.540151928214657e-05 loss: 0.0478 (0.0587) loss_seg: 0.0518 (0.0630) loss_lansim: 0.0888 (0.0849) loss_contra: 0.0001 (0.0038) time: 2.5720 data: 0.0027 max mem: 31671 Epoch: [21] [ 810/5278] eta: 3:13:12 lr: 2.5399221206909956e-05 loss: 0.0457 (0.0589) loss_seg: 0.0489 (0.0632) loss_lansim: 0.0885 (0.0849) loss_contra: 0.0001 (0.0037) time: 2.5729 data: 0.0027 max mem: 31671 Epoch: [21] [ 820/5278] eta: 3:12:46 lr: 2.5396923108570264e-05 loss: 0.0453 (0.0588) loss_seg: 0.0488 (0.0631) loss_lansim: 0.0878 (0.0850) loss_contra: 0.0001 (0.0038) time: 2.5782 data: 0.0027 max mem: 31671 Epoch: [21] [ 830/5278] eta: 3:12:16 lr: 2.5394624987124927e-05 loss: 0.0453 (0.0586) loss_seg: 0.0484 (0.0629) loss_lansim: 0.0877 (0.0851) loss_contra: 0.0001 (0.0038) time: 2.5758 data: 0.0026 max mem: 31671 Epoch: [21] [ 840/5278] eta: 3:11:45 lr: 2.5392326842571396e-05 loss: 0.0453 (0.0586) loss_seg: 0.0489 (0.0628) loss_lansim: 0.0866 (0.0851) loss_contra: 0.0001 (0.0038) time: 2.5652 data: 0.0027 max mem: 31671 Epoch: [21] [ 850/5278] eta: 3:11:22 lr: 2.5390028674907117e-05 loss: 0.0466 (0.0585) loss_seg: 0.0491 (0.0628) loss_lansim: 0.0878 (0.0852) loss_contra: 0.0001 (0.0037) time: 2.5707 data: 0.0027 max mem: 31671 Epoch: [21] [ 860/5278] eta: 3:10:59 lr: 2.5387730484129534e-05 loss: 0.0468 (0.0585) loss_seg: 0.0501 (0.0628) loss_lansim: 0.0878 (0.0853) loss_contra: 0.0001 (0.0037) time: 2.5744 data: 0.0027 max mem: 31671 Epoch: [21] [ 870/5278] eta: 3:10:37 lr: 2.5385432270236087e-05 loss: 0.0502 (0.0589) loss_seg: 0.0523 (0.0632) loss_lansim: 0.0875 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5803 data: 0.0027 max mem: 31671 Epoch: [21] [ 880/5278] eta: 3:10:11 lr: 2.538313403322421e-05 loss: 0.0504 (0.0591) loss_seg: 0.0539 (0.0635) loss_lansim: 0.0885 (0.0854) loss_contra: 0.0000 (0.0037) time: 2.5893 data: 0.0026 max mem: 31671 Epoch: [21] [ 890/5278] eta: 3:09:46 lr: 2.5380835773091354e-05 loss: 0.0513 (0.0591) loss_seg: 0.0552 (0.0635) loss_lansim: 0.0880 (0.0854) loss_contra: 0.0000 (0.0039) time: 2.6014 data: 0.0026 max mem: 31671 Epoch: [21] [ 900/5278] eta: 3:09:16 lr: 2.5378537489834968e-05 loss: 0.0528 (0.0595) loss_seg: 0.0560 (0.0639) loss_lansim: 0.0885 (0.0856) loss_contra: 0.0000 (0.0043) time: 2.5950 data: 0.0026 max mem: 31671 Epoch: [21] [ 910/5278] eta: 3:08:49 lr: 2.5376239183452475e-05 loss: 0.0530 (0.0595) loss_seg: 0.0566 (0.0639) loss_lansim: 0.0890 (0.0857) loss_contra: 0.0001 (0.0043) time: 2.5870 data: 0.0026 max mem: 31671 Epoch: [21] [ 920/5278] eta: 3:08:20 lr: 2.5373940853941325e-05 loss: 0.0539 (0.0596) loss_seg: 0.0567 (0.0640) loss_lansim: 0.0891 (0.0857) loss_contra: 0.0001 (0.0042) time: 2.5819 data: 0.0025 max mem: 31671 Epoch: [21] [ 930/5278] eta: 3:07:58 lr: 2.5371642501298955e-05 loss: 0.0556 (0.0596) loss_seg: 0.0580 (0.0640) loss_lansim: 0.0916 (0.0859) loss_contra: 0.0001 (0.0042) time: 2.5969 data: 0.0025 max mem: 31671 Epoch: [21] [ 940/5278] eta: 3:07:29 lr: 2.5369344125522803e-05 loss: 0.0562 (0.0598) loss_seg: 0.0595 (0.0642) loss_lansim: 0.0922 (0.0860) loss_contra: 0.0001 (0.0042) time: 2.5998 data: 0.0025 max mem: 31671 Epoch: [21] [ 950/5278] eta: 3:07:04 lr: 2.5367045726610316e-05 loss: 0.0568 (0.0597) loss_seg: 0.0595 (0.0641) loss_lansim: 0.0922 (0.0860) loss_contra: 0.0001 (0.0041) time: 2.5976 data: 0.0025 max mem: 31671 Epoch: [21] [ 960/5278] eta: 3:06:36 lr: 2.5364747304558922e-05 loss: 0.0568 (0.0601) loss_seg: 0.0595 (0.0645) loss_lansim: 0.0925 (0.0861) loss_contra: 0.0001 (0.0042) time: 2.5857 data: 0.0025 max mem: 31671 Epoch: [21] [ 970/5278] eta: 3:06:07 lr: 2.5362448859366056e-05 loss: 0.0576 (0.0602) loss_seg: 0.0613 (0.0646) loss_lansim: 0.0933 (0.0862) loss_contra: 0.0001 (0.0042) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [21] [ 980/5278] eta: 3:05:41 lr: 2.5360150391029163e-05 loss: 0.0574 (0.0603) loss_seg: 0.0613 (0.0647) loss_lansim: 0.0934 (0.0862) loss_contra: 0.0001 (0.0042) time: 2.5711 data: 0.0025 max mem: 31671 Epoch: [21] [ 990/5278] eta: 3:05:16 lr: 2.5357851899545682e-05 loss: 0.0568 (0.0601) loss_seg: 0.0605 (0.0646) loss_lansim: 0.0928 (0.0862) loss_contra: 0.0001 (0.0042) time: 2.5714 data: 0.0025 max mem: 31671 Epoch: [21] [1000/5278] eta: 3:04:52 lr: 2.5355553384913038e-05 loss: 0.0566 (0.0601) loss_seg: 0.0601 (0.0646) loss_lansim: 0.0928 (0.0863) loss_contra: 0.0001 (0.0042) time: 2.5833 data: 0.0025 max mem: 31671 Epoch: [21] [1010/5278] eta: 3:04:28 lr: 2.5353254847128666e-05 loss: 0.0565 (0.0602) loss_seg: 0.0601 (0.0646) loss_lansim: 0.0928 (0.0864) loss_contra: 0.0001 (0.0041) time: 2.5899 data: 0.0025 max mem: 31671 Epoch: [21] [1020/5278] eta: 3:04:02 lr: 2.5350956286190008e-05 loss: 0.0540 (0.0600) loss_seg: 0.0571 (0.0645) loss_lansim: 0.0933 (0.0865) loss_contra: 0.0001 (0.0042) time: 2.5964 data: 0.0026 max mem: 31671 Epoch: [21] [1030/5278] eta: 3:03:35 lr: 2.5348657702094503e-05 loss: 0.0489 (0.0598) loss_seg: 0.0523 (0.0642) loss_lansim: 0.0920 (0.0865) loss_contra: 0.0001 (0.0042) time: 2.5863 data: 0.0026 max mem: 31671 Epoch: [21] [1040/5278] eta: 3:03:09 lr: 2.534635909483957e-05 loss: 0.0489 (0.0598) loss_seg: 0.0523 (0.0643) loss_lansim: 0.0914 (0.0866) loss_contra: 0.0001 (0.0042) time: 2.5906 data: 0.0026 max mem: 31671 Epoch: [21] [1050/5278] eta: 3:02:44 lr: 2.5344060464422653e-05 loss: 0.0476 (0.0597) loss_seg: 0.0517 (0.0642) loss_lansim: 0.0918 (0.0866) loss_contra: 0.0001 (0.0041) time: 2.5909 data: 0.0026 max mem: 31671 Epoch: [21] [1060/5278] eta: 3:02:17 lr: 2.5341761810841176e-05 loss: 0.0469 (0.0596) loss_seg: 0.0495 (0.0640) loss_lansim: 0.0909 (0.0866) loss_contra: 0.0001 (0.0041) time: 2.5946 data: 0.0026 max mem: 31671 Epoch: [21] [1070/5278] eta: 3:01:57 lr: 2.5339463134092582e-05 loss: 0.0474 (0.0597) loss_seg: 0.0502 (0.0641) loss_lansim: 0.0909 (0.0867) loss_contra: 0.0001 (0.0041) time: 2.6171 data: 0.0026 max mem: 31671 Epoch: [21] [1080/5278] eta: 3:01:32 lr: 2.5337164434174293e-05 loss: 0.0456 (0.0596) loss_seg: 0.0497 (0.0640) loss_lansim: 0.0906 (0.0868) loss_contra: 0.0001 (0.0040) time: 2.6194 data: 0.0026 max mem: 31671 Epoch: [21] [1090/5278] eta: 3:01:07 lr: 2.5334865711083737e-05 loss: 0.0469 (0.0596) loss_seg: 0.0502 (0.0641) loss_lansim: 0.0917 (0.0868) loss_contra: 0.0001 (0.0043) time: 2.6179 data: 0.0026 max mem: 31671 Epoch: [21] [1100/5278] eta: 3:00:37 lr: 2.5332566964818356e-05 loss: 0.0476 (0.0597) loss_seg: 0.0517 (0.0641) loss_lansim: 0.0912 (0.0868) loss_contra: 0.0001 (0.0043) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [21] [1110/5278] eta: 3:00:14 lr: 2.5330268195375572e-05 loss: 0.0491 (0.0596) loss_seg: 0.0523 (0.0640) loss_lansim: 0.0906 (0.0868) loss_contra: 0.0001 (0.0042) time: 2.6095 data: 0.0026 max mem: 31671 Epoch: [21] [1120/5278] eta: 2:59:48 lr: 2.5327969402752817e-05 loss: 0.0500 (0.0596) loss_seg: 0.0526 (0.0639) loss_lansim: 0.0912 (0.0869) loss_contra: 0.0001 (0.0042) time: 2.6060 data: 0.0025 max mem: 31671 Epoch: [21] [1130/5278] eta: 2:59:24 lr: 2.5325670586947515e-05 loss: 0.0510 (0.0595) loss_seg: 0.0541 (0.0639) loss_lansim: 0.0917 (0.0869) loss_contra: 0.0001 (0.0042) time: 2.6143 data: 0.0025 max mem: 31671 Epoch: [21] [1140/5278] eta: 2:58:56 lr: 2.53233717479571e-05 loss: 0.0504 (0.0596) loss_seg: 0.0541 (0.0640) loss_lansim: 0.0907 (0.0869) loss_contra: 0.0001 (0.0042) time: 2.6108 data: 0.0025 max mem: 31671 Epoch: [21] [1150/5278] eta: 2:58:32 lr: 2.5321072885778996e-05 loss: 0.0510 (0.0596) loss_seg: 0.0552 (0.0640) loss_lansim: 0.0906 (0.0870) loss_contra: 0.0001 (0.0041) time: 2.6148 data: 0.0025 max mem: 31671 Epoch: [21] [1160/5278] eta: 2:58:07 lr: 2.5318774000410633e-05 loss: 0.0520 (0.0597) loss_seg: 0.0562 (0.0641) loss_lansim: 0.0907 (0.0870) loss_contra: 0.0001 (0.0041) time: 2.6178 data: 0.0025 max mem: 31671 Epoch: [21] [1170/5278] eta: 2:57:43 lr: 2.531647509184943e-05 loss: 0.0520 (0.0597) loss_seg: 0.0562 (0.0641) loss_lansim: 0.0906 (0.0870) loss_contra: 0.0000 (0.0041) time: 2.6079 data: 0.0025 max mem: 31671 Epoch: [21] [1180/5278] eta: 2:57:19 lr: 2.5314176160092822e-05 loss: 0.0536 (0.0597) loss_seg: 0.0566 (0.0641) loss_lansim: 0.0894 (0.0870) loss_contra: 0.0000 (0.0040) time: 2.6131 data: 0.0025 max mem: 31671 Epoch: [21] [1190/5278] eta: 2:56:54 lr: 2.5311877205138228e-05 loss: 0.0512 (0.0595) loss_seg: 0.0557 (0.0639) loss_lansim: 0.0893 (0.0870) loss_contra: 0.0000 (0.0040) time: 2.6138 data: 0.0025 max mem: 31671 Epoch: [21] [1200/5278] eta: 2:56:26 lr: 2.5309578226983077e-05 loss: 0.0489 (0.0594) loss_seg: 0.0526 (0.0638) loss_lansim: 0.0906 (0.0871) loss_contra: 0.0000 (0.0040) time: 2.6182 data: 0.0025 max mem: 31671 Epoch: [21] [1210/5278] eta: 2:56:02 lr: 2.5307279225624793e-05 loss: 0.0480 (0.0594) loss_seg: 0.0514 (0.0638) loss_lansim: 0.0894 (0.0871) loss_contra: 0.0000 (0.0040) time: 2.6152 data: 0.0025 max mem: 31671 Epoch: [21] [1220/5278] eta: 2:55:36 lr: 2.5304980201060795e-05 loss: 0.0480 (0.0594) loss_seg: 0.0524 (0.0637) loss_lansim: 0.0894 (0.0871) loss_contra: 0.0000 (0.0040) time: 2.6181 data: 0.0026 max mem: 31671 Epoch: [21] [1230/5278] eta: 2:55:10 lr: 2.530268115328851e-05 loss: 0.0480 (0.0593) loss_seg: 0.0514 (0.0637) loss_lansim: 0.0894 (0.0871) loss_contra: 0.0000 (0.0041) time: 2.6124 data: 0.0026 max mem: 31671 Epoch: [21] [1240/5278] eta: 2:54:46 lr: 2.5300382082305368e-05 loss: 0.0480 (0.0592) loss_seg: 0.0514 (0.0636) loss_lansim: 0.0893 (0.0871) loss_contra: 0.0001 (0.0040) time: 2.6239 data: 0.0026 max mem: 31671 Epoch: [21] [1250/5278] eta: 2:54:22 lr: 2.5298082988108773e-05 loss: 0.0469 (0.0591) loss_seg: 0.0514 (0.0635) loss_lansim: 0.0888 (0.0871) loss_contra: 0.0001 (0.0040) time: 2.6249 data: 0.0026 max mem: 31671 Epoch: [21] [1260/5278] eta: 2:53:55 lr: 2.529578387069616e-05 loss: 0.0487 (0.0593) loss_seg: 0.0537 (0.0636) loss_lansim: 0.0888 (0.0871) loss_contra: 0.0001 (0.0040) time: 2.6189 data: 0.0026 max mem: 31671 Epoch: [21] [1270/5278] eta: 2:53:27 lr: 2.529348473006495e-05 loss: 0.0469 (0.0592) loss_seg: 0.0517 (0.0636) loss_lansim: 0.0894 (0.0872) loss_contra: 0.0001 (0.0040) time: 2.6095 data: 0.0026 max mem: 31671 Epoch: [21] [1280/5278] eta: 2:53:00 lr: 2.5291185566212555e-05 loss: 0.0460 (0.0592) loss_seg: 0.0497 (0.0636) loss_lansim: 0.0894 (0.0872) loss_contra: 0.0001 (0.0040) time: 2.5988 data: 0.0026 max mem: 31671 Epoch: [21] [1290/5278] eta: 2:52:33 lr: 2.5288886379136402e-05 loss: 0.0487 (0.0594) loss_seg: 0.0537 (0.0638) loss_lansim: 0.0889 (0.0872) loss_contra: 0.0001 (0.0039) time: 2.5937 data: 0.0026 max mem: 31671 Epoch: [21] [1300/5278] eta: 2:52:04 lr: 2.5286587168833908e-05 loss: 0.0493 (0.0594) loss_seg: 0.0544 (0.0638) loss_lansim: 0.0880 (0.0871) loss_contra: 0.0001 (0.0039) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [21] [1310/5278] eta: 2:51:38 lr: 2.5284287935302494e-05 loss: 0.0487 (0.0594) loss_seg: 0.0537 (0.0638) loss_lansim: 0.0883 (0.0871) loss_contra: 0.0001 (0.0039) time: 2.5831 data: 0.0026 max mem: 31671 Epoch: [21] [1320/5278] eta: 2:51:10 lr: 2.5281988678539575e-05 loss: 0.0487 (0.0594) loss_seg: 0.0537 (0.0638) loss_lansim: 0.0870 (0.0871) loss_contra: 0.0001 (0.0039) time: 2.5768 data: 0.0025 max mem: 31671 Epoch: [21] [1330/5278] eta: 2:50:43 lr: 2.5279689398542566e-05 loss: 0.0484 (0.0594) loss_seg: 0.0535 (0.0638) loss_lansim: 0.0870 (0.0871) loss_contra: 0.0001 (0.0039) time: 2.5723 data: 0.0025 max mem: 31671 Epoch: [21] [1340/5278] eta: 2:50:18 lr: 2.5277390095308895e-05 loss: 0.0493 (0.0595) loss_seg: 0.0544 (0.0640) loss_lansim: 0.0847 (0.0871) loss_contra: 0.0001 (0.0038) time: 2.5690 data: 0.0025 max mem: 31671 Epoch: [21] [1350/5278] eta: 2:49:49 lr: 2.5275090768835967e-05 loss: 0.0503 (0.0595) loss_seg: 0.0551 (0.0639) loss_lansim: 0.0843 (0.0870) loss_contra: 0.0001 (0.0038) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [21] [1360/5278] eta: 2:49:21 lr: 2.5272791419121204e-05 loss: 0.0498 (0.0596) loss_seg: 0.0544 (0.0641) loss_lansim: 0.0843 (0.0870) loss_contra: 0.0001 (0.0039) time: 2.5501 data: 0.0025 max mem: 31671 Epoch: [21] [1370/5278] eta: 2:48:54 lr: 2.527049204616202e-05 loss: 0.0493 (0.0596) loss_seg: 0.0544 (0.0640) loss_lansim: 0.0838 (0.0870) loss_contra: 0.0001 (0.0039) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [21] [1380/5278] eta: 2:48:25 lr: 2.526819264995583e-05 loss: 0.0493 (0.0596) loss_seg: 0.0544 (0.0640) loss_lansim: 0.0838 (0.0870) loss_contra: 0.0001 (0.0038) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [21] [1390/5278] eta: 2:47:59 lr: 2.526589323050005e-05 loss: 0.0498 (0.0598) loss_seg: 0.0544 (0.0642) loss_lansim: 0.0851 (0.0871) loss_contra: 0.0001 (0.0039) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [21] [1400/5278] eta: 2:47:32 lr: 2.5263593787792094e-05 loss: 0.0500 (0.0597) loss_seg: 0.0548 (0.0642) loss_lansim: 0.0851 (0.0871) loss_contra: 0.0001 (0.0039) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [21] [1410/5278] eta: 2:47:04 lr: 2.526129432182937e-05 loss: 0.0493 (0.0596) loss_seg: 0.0543 (0.0641) loss_lansim: 0.0850 (0.0870) loss_contra: 0.0001 (0.0039) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [21] [1420/5278] eta: 2:46:36 lr: 2.52589948326093e-05 loss: 0.0484 (0.0596) loss_seg: 0.0530 (0.0640) loss_lansim: 0.0850 (0.0870) loss_contra: 0.0001 (0.0039) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [21] [1430/5278] eta: 2:46:11 lr: 2.5256695320129287e-05 loss: 0.0493 (0.0596) loss_seg: 0.0543 (0.0641) loss_lansim: 0.0841 (0.0869) loss_contra: 0.0001 (0.0042) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [21] [1440/5278] eta: 2:45:43 lr: 2.5254395784386742e-05 loss: 0.0490 (0.0595) loss_seg: 0.0530 (0.0640) loss_lansim: 0.0863 (0.0870) loss_contra: 0.0001 (0.0042) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [21] [1450/5278] eta: 2:45:19 lr: 2.525209622537909e-05 loss: 0.0490 (0.0596) loss_seg: 0.0530 (0.0640) loss_lansim: 0.0863 (0.0869) loss_contra: 0.0001 (0.0042) time: 2.5526 data: 0.0025 max mem: 31671 Epoch: [21] [1460/5278] eta: 2:44:54 lr: 2.5249796643103723e-05 loss: 0.0483 (0.0595) loss_seg: 0.0530 (0.0640) loss_lansim: 0.0863 (0.0870) loss_contra: 0.0002 (0.0042) time: 2.5611 data: 0.0026 max mem: 31671 Epoch: [21] [1470/5278] eta: 2:44:29 lr: 2.5247497037558065e-05 loss: 0.0483 (0.0595) loss_seg: 0.0530 (0.0639) loss_lansim: 0.0863 (0.0870) loss_contra: 0.0002 (0.0042) time: 2.5712 data: 0.0026 max mem: 31671 Epoch: [21] [1480/5278] eta: 2:44:03 lr: 2.5245197408739518e-05 loss: 0.0483 (0.0594) loss_seg: 0.0530 (0.0639) loss_lansim: 0.0863 (0.0870) loss_contra: 0.0002 (0.0042) time: 2.5806 data: 0.0026 max mem: 31671 Epoch: [21] [1490/5278] eta: 2:43:37 lr: 2.52428977566455e-05 loss: 0.0467 (0.0594) loss_seg: 0.0510 (0.0638) loss_lansim: 0.0863 (0.0871) loss_contra: 0.0001 (0.0042) time: 2.5835 data: 0.0025 max mem: 31671 Epoch: [21] [1500/5278] eta: 2:43:10 lr: 2.5240598081273402e-05 loss: 0.0483 (0.0593) loss_seg: 0.0506 (0.0638) loss_lansim: 0.0863 (0.0871) loss_contra: 0.0002 (0.0042) time: 2.5827 data: 0.0025 max mem: 31671 Epoch: [21] [1510/5278] eta: 2:42:46 lr: 2.5238298382620652e-05 loss: 0.0490 (0.0593) loss_seg: 0.0520 (0.0638) loss_lansim: 0.0864 (0.0871) loss_contra: 0.0001 (0.0041) time: 2.5959 data: 0.0025 max mem: 31671 Epoch: [21] [1520/5278] eta: 2:42:20 lr: 2.523599866068464e-05 loss: 0.0501 (0.0594) loss_seg: 0.0520 (0.0638) loss_lansim: 0.0867 (0.0871) loss_contra: 0.0001 (0.0041) time: 2.6012 data: 0.0026 max mem: 31671 Epoch: [21] [1530/5278] eta: 2:41:54 lr: 2.5233698915462787e-05 loss: 0.0501 (0.0595) loss_seg: 0.0520 (0.0639) loss_lansim: 0.0881 (0.0872) loss_contra: 0.0001 (0.0041) time: 2.5996 data: 0.0025 max mem: 31671 Epoch: [21] [1540/5278] eta: 2:41:31 lr: 2.5231399146952496e-05 loss: 0.0459 (0.0594) loss_seg: 0.0503 (0.0638) loss_lansim: 0.0881 (0.0872) loss_contra: 0.0001 (0.0041) time: 2.6179 data: 0.0025 max mem: 31671 Epoch: [21] [1550/5278] eta: 2:41:06 lr: 2.522909935515116e-05 loss: 0.0448 (0.0592) loss_seg: 0.0480 (0.0637) loss_lansim: 0.0888 (0.0873) loss_contra: 0.0001 (0.0041) time: 2.6161 data: 0.0025 max mem: 31671 Epoch: [21] [1560/5278] eta: 2:40:39 lr: 2.5226799540056194e-05 loss: 0.0435 (0.0592) loss_seg: 0.0466 (0.0636) loss_lansim: 0.0888 (0.0873) loss_contra: 0.0001 (0.0041) time: 2.6097 data: 0.0025 max mem: 31671 Epoch: [21] [1570/5278] eta: 2:40:12 lr: 2.522449970166501e-05 loss: 0.0435 (0.0591) loss_seg: 0.0466 (0.0635) loss_lansim: 0.0891 (0.0873) loss_contra: 0.0001 (0.0041) time: 2.6017 data: 0.0025 max mem: 31671 Epoch: [21] [1580/5278] eta: 2:39:45 lr: 2.5222199839974996e-05 loss: 0.0448 (0.0591) loss_seg: 0.0480 (0.0635) loss_lansim: 0.0915 (0.0874) loss_contra: 0.0001 (0.0041) time: 2.5982 data: 0.0025 max mem: 31671 Epoch: [21] [1590/5278] eta: 2:39:20 lr: 2.5219899954983566e-05 loss: 0.0426 (0.0590) loss_seg: 0.0461 (0.0634) loss_lansim: 0.0900 (0.0874) loss_contra: 0.0001 (0.0041) time: 2.6016 data: 0.0026 max mem: 31671 Epoch: [21] [1600/5278] eta: 2:38:57 lr: 2.5217600046688118e-05 loss: 0.0419 (0.0589) loss_seg: 0.0450 (0.0633) loss_lansim: 0.0899 (0.0874) loss_contra: 0.0001 (0.0042) time: 2.6194 data: 0.0026 max mem: 31671 Epoch: [21] [1610/5278] eta: 2:38:31 lr: 2.521530011508606e-05 loss: 0.0419 (0.0593) loss_seg: 0.0450 (0.0636) loss_lansim: 0.0900 (0.0875) loss_contra: 0.0001 (0.0042) time: 2.6132 data: 0.0026 max mem: 31671 Epoch: [21] [1620/5278] eta: 2:38:04 lr: 2.5213000160174788e-05 loss: 0.0419 (0.0592) loss_seg: 0.0450 (0.0636) loss_lansim: 0.0918 (0.0875) loss_contra: 0.0000 (0.0041) time: 2.6072 data: 0.0026 max mem: 31671 Epoch: [21] [1630/5278] eta: 2:37:39 lr: 2.5210700181951702e-05 loss: 0.0419 (0.0592) loss_seg: 0.0450 (0.0636) loss_lansim: 0.0918 (0.0875) loss_contra: 0.0000 (0.0041) time: 2.6095 data: 0.0026 max mem: 31671 Epoch: [21] [1640/5278] eta: 2:37:15 lr: 2.520840018041421e-05 loss: 0.0440 (0.0594) loss_seg: 0.0480 (0.0638) loss_lansim: 0.0918 (0.0875) loss_contra: 0.0000 (0.0041) time: 2.6091 data: 0.0026 max mem: 31671 Epoch: [21] [1650/5278] eta: 2:36:49 lr: 2.5206100155559707e-05 loss: 0.0466 (0.0593) loss_seg: 0.0512 (0.0637) loss_lansim: 0.0921 (0.0876) loss_contra: 0.0000 (0.0041) time: 2.6026 data: 0.0026 max mem: 31671 Epoch: [21] [1660/5278] eta: 2:36:24 lr: 2.5203800107385594e-05 loss: 0.0463 (0.0593) loss_seg: 0.0501 (0.0637) loss_lansim: 0.0918 (0.0876) loss_contra: 0.0000 (0.0041) time: 2.6110 data: 0.0026 max mem: 31671 Epoch: [21] [1670/5278] eta: 2:35:57 lr: 2.520150003588927e-05 loss: 0.0466 (0.0593) loss_seg: 0.0508 (0.0637) loss_lansim: 0.0921 (0.0876) loss_contra: 0.0000 (0.0042) time: 2.6090 data: 0.0026 max mem: 31671 Epoch: [21] [1680/5278] eta: 2:35:30 lr: 2.519919994106813e-05 loss: 0.0492 (0.0593) loss_seg: 0.0516 (0.0637) loss_lansim: 0.0926 (0.0877) loss_contra: 0.0000 (0.0042) time: 2.6119 data: 0.0026 max mem: 31671 Epoch: [21] [1690/5278] eta: 2:35:05 lr: 2.5196899822919573e-05 loss: 0.0502 (0.0593) loss_seg: 0.0548 (0.0637) loss_lansim: 0.0928 (0.0877) loss_contra: 0.0001 (0.0042) time: 2.6121 data: 0.0025 max mem: 31671 Epoch: [21] [1700/5278] eta: 2:34:40 lr: 2.5194599681441006e-05 loss: 0.0505 (0.0592) loss_seg: 0.0551 (0.0636) loss_lansim: 0.0934 (0.0878) loss_contra: 0.0001 (0.0042) time: 2.6001 data: 0.0025 max mem: 31671 Epoch: [21] [1710/5278] eta: 2:34:12 lr: 2.519229951662981e-05 loss: 0.0506 (0.0593) loss_seg: 0.0552 (0.0637) loss_lansim: 0.0928 (0.0878) loss_contra: 0.0002 (0.0042) time: 2.5913 data: 0.0025 max mem: 31671 Epoch: [21] [1720/5278] eta: 2:33:46 lr: 2.5189999328483387e-05 loss: 0.0505 (0.0593) loss_seg: 0.0552 (0.0636) loss_lansim: 0.0928 (0.0878) loss_contra: 0.0002 (0.0042) time: 2.5978 data: 0.0025 max mem: 31671 Epoch: [21] [1730/5278] eta: 2:33:21 lr: 2.5187699116999136e-05 loss: 0.0505 (0.0593) loss_seg: 0.0551 (0.0636) loss_lansim: 0.0928 (0.0878) loss_contra: 0.0003 (0.0042) time: 2.6008 data: 0.0025 max mem: 31671 Epoch: [21] [1740/5278] eta: 2:32:54 lr: 2.518539888217446e-05 loss: 0.0500 (0.0593) loss_seg: 0.0548 (0.0637) loss_lansim: 0.0934 (0.0879) loss_contra: 0.0005 (0.0042) time: 2.5830 data: 0.0025 max mem: 31671 Epoch: [21] [1750/5278] eta: 2:32:28 lr: 2.5183098624006733e-05 loss: 0.0492 (0.0593) loss_seg: 0.0527 (0.0636) loss_lansim: 0.0916 (0.0880) loss_contra: 0.0004 (0.0043) time: 2.5874 data: 0.0025 max mem: 31671 Epoch: [21] [1760/5278] eta: 2:32:01 lr: 2.518079834249336e-05 loss: 0.0505 (0.0592) loss_seg: 0.0551 (0.0636) loss_lansim: 0.0916 (0.0880) loss_contra: 0.0003 (0.0043) time: 2.5772 data: 0.0025 max mem: 31671 Epoch: [21] [1770/5278] eta: 2:31:35 lr: 2.5178498037631737e-05 loss: 0.0505 (0.0593) loss_seg: 0.0551 (0.0636) loss_lansim: 0.0924 (0.0881) loss_contra: 0.0003 (0.0042) time: 2.5817 data: 0.0025 max mem: 31671 Epoch: [21] [1780/5278] eta: 2:31:08 lr: 2.5176197709419265e-05 loss: 0.0469 (0.0593) loss_seg: 0.0516 (0.0636) loss_lansim: 0.0914 (0.0881) loss_contra: 0.0003 (0.0042) time: 2.5769 data: 0.0025 max mem: 31671 Epoch: [21] [1790/5278] eta: 2:30:41 lr: 2.517389735785331e-05 loss: 0.0478 (0.0593) loss_seg: 0.0509 (0.0636) loss_lansim: 0.0914 (0.0881) loss_contra: 0.0003 (0.0042) time: 2.5685 data: 0.0026 max mem: 31671 Epoch: [21] [1800/5278] eta: 2:30:15 lr: 2.5171596982931283e-05 loss: 0.0478 (0.0592) loss_seg: 0.0509 (0.0635) loss_lansim: 0.0924 (0.0881) loss_contra: 0.0002 (0.0042) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [21] [1810/5278] eta: 2:29:48 lr: 2.5169296584650576e-05 loss: 0.0463 (0.0591) loss_seg: 0.0509 (0.0635) loss_lansim: 0.0925 (0.0882) loss_contra: 0.0001 (0.0042) time: 2.5712 data: 0.0026 max mem: 31671 Epoch: [21] [1820/5278] eta: 2:29:22 lr: 2.5166996163008577e-05 loss: 0.0474 (0.0591) loss_seg: 0.0509 (0.0634) loss_lansim: 0.0929 (0.0882) loss_contra: 0.0001 (0.0042) time: 2.5719 data: 0.0026 max mem: 31671 Epoch: [21] [1830/5278] eta: 2:28:56 lr: 2.5164695718002666e-05 loss: 0.0463 (0.0590) loss_seg: 0.0500 (0.0634) loss_lansim: 0.0940 (0.0883) loss_contra: 0.0001 (0.0041) time: 2.5662 data: 0.0026 max mem: 31671 Epoch: [21] [1840/5278] eta: 2:28:30 lr: 2.516239524963025e-05 loss: 0.0463 (0.0591) loss_seg: 0.0500 (0.0634) loss_lansim: 0.0940 (0.0883) loss_contra: 0.0001 (0.0041) time: 2.5697 data: 0.0026 max mem: 31671 Epoch: [21] [1850/5278] eta: 2:28:04 lr: 2.5160094757888696e-05 loss: 0.0474 (0.0591) loss_seg: 0.0517 (0.0634) loss_lansim: 0.0949 (0.0884) loss_contra: 0.0001 (0.0042) time: 2.5648 data: 0.0026 max mem: 31671 Epoch: [21] [1860/5278] eta: 2:27:38 lr: 2.5157794242775423e-05 loss: 0.0478 (0.0591) loss_seg: 0.0518 (0.0634) loss_lansim: 0.0965 (0.0885) loss_contra: 0.0001 (0.0042) time: 2.5723 data: 0.0026 max mem: 31671 Epoch: [21] [1870/5278] eta: 2:27:12 lr: 2.5155493704287785e-05 loss: 0.0477 (0.0591) loss_seg: 0.0518 (0.0634) loss_lansim: 0.0963 (0.0886) loss_contra: 0.0001 (0.0041) time: 2.5721 data: 0.0026 max mem: 31671 Epoch: [21] [1880/5278] eta: 2:26:48 lr: 2.5153193142423192e-05 loss: 0.0498 (0.0590) loss_seg: 0.0519 (0.0633) loss_lansim: 0.0965 (0.0886) loss_contra: 0.0001 (0.0041) time: 2.5916 data: 0.0026 max mem: 31671 Epoch: [21] [1890/5278] eta: 2:26:22 lr: 2.5150892557179023e-05 loss: 0.0477 (0.0590) loss_seg: 0.0519 (0.0633) loss_lansim: 0.0979 (0.0887) loss_contra: 0.0001 (0.0041) time: 2.5953 data: 0.0026 max mem: 31671 Epoch: [21] [1900/5278] eta: 2:25:57 lr: 2.5148591948552662e-05 loss: 0.0505 (0.0591) loss_seg: 0.0553 (0.0634) loss_lansim: 0.0967 (0.0888) loss_contra: 0.0001 (0.0041) time: 2.5977 data: 0.0026 max mem: 31671 Epoch: [21] [1910/5278] eta: 2:25:30 lr: 2.5146291316541503e-05 loss: 0.0516 (0.0590) loss_seg: 0.0557 (0.0634) loss_lansim: 0.0989 (0.0888) loss_contra: 0.0001 (0.0041) time: 2.5974 data: 0.0026 max mem: 31671 Epoch: [21] [1920/5278] eta: 2:25:04 lr: 2.5143990661142925e-05 loss: 0.0525 (0.0590) loss_seg: 0.0565 (0.0634) loss_lansim: 0.1000 (0.0889) loss_contra: 0.0001 (0.0041) time: 2.5960 data: 0.0026 max mem: 31671 Epoch: [21] [1930/5278] eta: 2:24:37 lr: 2.514168998235431e-05 loss: 0.0528 (0.0590) loss_seg: 0.0566 (0.0633) loss_lansim: 0.1002 (0.0890) loss_contra: 0.0001 (0.0041) time: 2.5893 data: 0.0026 max mem: 31671 Epoch: [21] [1940/5278] eta: 2:24:11 lr: 2.513938928017305e-05 loss: 0.0530 (0.0590) loss_seg: 0.0579 (0.0633) loss_lansim: 0.1002 (0.0890) loss_contra: 0.0001 (0.0041) time: 2.5927 data: 0.0026 max mem: 31671 Epoch: [21] [1950/5278] eta: 2:23:46 lr: 2.513708855459652e-05 loss: 0.0514 (0.0590) loss_seg: 0.0557 (0.0633) loss_lansim: 0.0992 (0.0890) loss_contra: 0.0001 (0.0041) time: 2.5989 data: 0.0026 max mem: 31671 Epoch: [21] [1960/5278] eta: 2:23:19 lr: 2.5134787805622113e-05 loss: 0.0498 (0.0590) loss_seg: 0.0549 (0.0633) loss_lansim: 0.0983 (0.0891) loss_contra: 0.0000 (0.0041) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [21] [1970/5278] eta: 2:22:52 lr: 2.51324870332472e-05 loss: 0.0531 (0.0590) loss_seg: 0.0583 (0.0634) loss_lansim: 0.0975 (0.0891) loss_contra: 0.0000 (0.0040) time: 2.5889 data: 0.0026 max mem: 31671 Epoch: [21] [1980/5278] eta: 2:22:27 lr: 2.513018623746916e-05 loss: 0.0526 (0.0589) loss_seg: 0.0579 (0.0632) loss_lansim: 0.0983 (0.0892) loss_contra: 0.0000 (0.0040) time: 2.5793 data: 0.0026 max mem: 31671 Epoch: [21] [1990/5278] eta: 2:22:01 lr: 2.5127885418285397e-05 loss: 0.0498 (0.0589) loss_seg: 0.0547 (0.0632) loss_lansim: 0.0983 (0.0893) loss_contra: 0.0000 (0.0040) time: 2.5779 data: 0.0026 max mem: 31671 Epoch: [21] [2000/5278] eta: 2:21:37 lr: 2.5125584575693266e-05 loss: 0.0495 (0.0590) loss_seg: 0.0531 (0.0633) loss_lansim: 0.0992 (0.0893) loss_contra: 0.0000 (0.0040) time: 2.5906 data: 0.0026 max mem: 31671 Epoch: [21] [2010/5278] eta: 2:21:12 lr: 2.512328370969016e-05 loss: 0.0497 (0.0590) loss_seg: 0.0547 (0.0633) loss_lansim: 0.0979 (0.0894) loss_contra: 0.0000 (0.0040) time: 2.6020 data: 0.0026 max mem: 31671 Epoch: [21] [2020/5278] eta: 2:20:48 lr: 2.512098282027345e-05 loss: 0.0482 (0.0590) loss_seg: 0.0531 (0.0633) loss_lansim: 0.0969 (0.0894) loss_contra: 0.0000 (0.0040) time: 2.6111 data: 0.0026 max mem: 31671 Epoch: [21] [2030/5278] eta: 2:20:21 lr: 2.5118681907440534e-05 loss: 0.0498 (0.0590) loss_seg: 0.0547 (0.0633) loss_lansim: 0.0970 (0.0895) loss_contra: 0.0000 (0.0039) time: 2.6141 data: 0.0026 max mem: 31671 Epoch: [21] [2040/5278] eta: 2:19:56 lr: 2.5116380971188764e-05 loss: 0.0489 (0.0589) loss_seg: 0.0537 (0.0632) loss_lansim: 0.0973 (0.0895) loss_contra: 0.0000 (0.0039) time: 2.6189 data: 0.0026 max mem: 31671 Epoch: [21] [2050/5278] eta: 2:19:29 lr: 2.5114080011515534e-05 loss: 0.0498 (0.0589) loss_seg: 0.0547 (0.0632) loss_lansim: 0.0979 (0.0896) loss_contra: 0.0000 (0.0039) time: 2.6090 data: 0.0026 max mem: 31671 Epoch: [21] [2060/5278] eta: 2:19:03 lr: 2.511177902841822e-05 loss: 0.0498 (0.0592) loss_seg: 0.0547 (0.0635) loss_lansim: 0.0973 (0.0896) loss_contra: 0.0000 (0.0039) time: 2.6142 data: 0.0026 max mem: 31671 Epoch: [21] [2070/5278] eta: 2:18:38 lr: 2.51094780218942e-05 loss: 0.0474 (0.0592) loss_seg: 0.0519 (0.0636) loss_lansim: 0.0965 (0.0896) loss_contra: 0.0000 (0.0039) time: 2.6210 data: 0.0025 max mem: 31671 Epoch: [21] [2080/5278] eta: 2:18:13 lr: 2.5107176991940844e-05 loss: 0.0498 (0.0592) loss_seg: 0.0537 (0.0636) loss_lansim: 0.0965 (0.0896) loss_contra: 0.0000 (0.0038) time: 2.6233 data: 0.0025 max mem: 31671 Epoch: [21] [2090/5278] eta: 2:17:47 lr: 2.5104875938555527e-05 loss: 0.0489 (0.0591) loss_seg: 0.0531 (0.0635) loss_lansim: 0.0959 (0.0896) loss_contra: 0.0000 (0.0038) time: 2.6246 data: 0.0025 max mem: 31671 Epoch: [21] [2100/5278] eta: 2:17:21 lr: 2.5102574861735628e-05 loss: 0.0477 (0.0591) loss_seg: 0.0524 (0.0634) loss_lansim: 0.0959 (0.0897) loss_contra: 0.0000 (0.0038) time: 2.6117 data: 0.0025 max mem: 31671 Epoch: [21] [2110/5278] eta: 2:16:55 lr: 2.5100273761478527e-05 loss: 0.0441 (0.0590) loss_seg: 0.0475 (0.0633) loss_lansim: 0.0965 (0.0897) loss_contra: 0.0000 (0.0038) time: 2.6089 data: 0.0025 max mem: 31671 Epoch: [21] [2120/5278] eta: 2:16:30 lr: 2.5097972637781585e-05 loss: 0.0433 (0.0589) loss_seg: 0.0473 (0.0632) loss_lansim: 0.0959 (0.0898) loss_contra: 0.0000 (0.0038) time: 2.6039 data: 0.0025 max mem: 31671 Epoch: [21] [2130/5278] eta: 2:16:03 lr: 2.5095671490642186e-05 loss: 0.0431 (0.0588) loss_seg: 0.0469 (0.0632) loss_lansim: 0.0959 (0.0898) loss_contra: 0.0000 (0.0038) time: 2.6019 data: 0.0025 max mem: 31671 Epoch: [21] [2140/5278] eta: 2:15:37 lr: 2.5093370320057695e-05 loss: 0.0441 (0.0589) loss_seg: 0.0476 (0.0632) loss_lansim: 0.0956 (0.0898) loss_contra: 0.0000 (0.0038) time: 2.5921 data: 0.0026 max mem: 31671 Epoch: [21] [2150/5278] eta: 2:15:12 lr: 2.5091069126025485e-05 loss: 0.0441 (0.0588) loss_seg: 0.0476 (0.0631) loss_lansim: 0.0938 (0.0899) loss_contra: 0.0000 (0.0038) time: 2.6054 data: 0.0026 max mem: 31671 Epoch: [21] [2160/5278] eta: 2:14:45 lr: 2.5088767908542944e-05 loss: 0.0474 (0.0590) loss_seg: 0.0520 (0.0633) loss_lansim: 0.0919 (0.0898) loss_contra: 0.0001 (0.0038) time: 2.5997 data: 0.0026 max mem: 31671 Epoch: [21] [2170/5278] eta: 2:14:18 lr: 2.5086466667607416e-05 loss: 0.0474 (0.0589) loss_seg: 0.0489 (0.0632) loss_lansim: 0.0932 (0.0899) loss_contra: 0.0001 (0.0038) time: 2.5913 data: 0.0026 max mem: 31671 Epoch: [21] [2180/5278] eta: 2:13:53 lr: 2.5084165403216286e-05 loss: 0.0474 (0.0590) loss_seg: 0.0488 (0.0633) loss_lansim: 0.0932 (0.0899) loss_contra: 0.0001 (0.0038) time: 2.5872 data: 0.0026 max mem: 31671 Epoch: [21] [2190/5278] eta: 2:13:26 lr: 2.5081864115366927e-05 loss: 0.0483 (0.0589) loss_seg: 0.0500 (0.0632) loss_lansim: 0.0918 (0.0899) loss_contra: 0.0001 (0.0038) time: 2.5827 data: 0.0026 max mem: 31671 Epoch: [21] [2200/5278] eta: 2:12:59 lr: 2.507956280405671e-05 loss: 0.0474 (0.0588) loss_seg: 0.0488 (0.0631) loss_lansim: 0.0915 (0.0899) loss_contra: 0.0001 (0.0037) time: 2.5726 data: 0.0026 max mem: 31671 Epoch: [21] [2210/5278] eta: 2:12:33 lr: 2.5077261469282993e-05 loss: 0.0485 (0.0588) loss_seg: 0.0531 (0.0632) loss_lansim: 0.0925 (0.0900) loss_contra: 0.0001 (0.0038) time: 2.5721 data: 0.0026 max mem: 31671 Epoch: [21] [2220/5278] eta: 2:12:08 lr: 2.5074960111043143e-05 loss: 0.0485 (0.0588) loss_seg: 0.0531 (0.0631) loss_lansim: 0.0952 (0.0901) loss_contra: 0.0001 (0.0037) time: 2.5706 data: 0.0026 max mem: 31671 Epoch: [21] [2230/5278] eta: 2:11:42 lr: 2.5072658729334538e-05 loss: 0.0485 (0.0588) loss_seg: 0.0531 (0.0631) loss_lansim: 0.0945 (0.0901) loss_contra: 0.0001 (0.0037) time: 2.5802 data: 0.0026 max mem: 31671 Epoch: [21] [2240/5278] eta: 2:11:17 lr: 2.5070357324154547e-05 loss: 0.0474 (0.0587) loss_seg: 0.0499 (0.0630) loss_lansim: 0.0944 (0.0901) loss_contra: 0.0001 (0.0037) time: 2.5902 data: 0.0026 max mem: 31671 Epoch: [21] [2250/5278] eta: 2:10:51 lr: 2.5068055895500527e-05 loss: 0.0474 (0.0587) loss_seg: 0.0499 (0.0630) loss_lansim: 0.0946 (0.0902) loss_contra: 0.0001 (0.0037) time: 2.5819 data: 0.0026 max mem: 31671 Epoch: [21] [2260/5278] eta: 2:10:24 lr: 2.5065754443369842e-05 loss: 0.0474 (0.0587) loss_seg: 0.0500 (0.0630) loss_lansim: 0.0959 (0.0902) loss_contra: 0.0001 (0.0037) time: 2.5822 data: 0.0026 max mem: 31671 Epoch: [21] [2270/5278] eta: 2:09:58 lr: 2.5063452967759866e-05 loss: 0.0459 (0.0587) loss_seg: 0.0499 (0.0630) loss_lansim: 0.0957 (0.0902) loss_contra: 0.0000 (0.0037) time: 2.5878 data: 0.0026 max mem: 31671 Epoch: [21] [2280/5278] eta: 2:09:32 lr: 2.5061151468667964e-05 loss: 0.0470 (0.0586) loss_seg: 0.0503 (0.0629) loss_lansim: 0.0965 (0.0903) loss_contra: 0.0000 (0.0037) time: 2.5831 data: 0.0026 max mem: 31671 Epoch: [21] [2290/5278] eta: 2:09:05 lr: 2.5058849946091494e-05 loss: 0.0474 (0.0586) loss_seg: 0.0511 (0.0629) loss_lansim: 0.0992 (0.0903) loss_contra: 0.0001 (0.0037) time: 2.5801 data: 0.0026 max mem: 31671 Epoch: [21] [2300/5278] eta: 2:08:39 lr: 2.5056548400027824e-05 loss: 0.0474 (0.0586) loss_seg: 0.0516 (0.0629) loss_lansim: 0.0986 (0.0904) loss_contra: 0.0000 (0.0037) time: 2.5842 data: 0.0026 max mem: 31671 Epoch: [21] [2310/5278] eta: 2:08:12 lr: 2.5054246830474314e-05 loss: 0.0482 (0.0587) loss_seg: 0.0516 (0.0630) loss_lansim: 0.0956 (0.0903) loss_contra: 0.0000 (0.0037) time: 2.5771 data: 0.0026 max mem: 31671 Epoch: [21] [2320/5278] eta: 2:07:47 lr: 2.5051945237428336e-05 loss: 0.0489 (0.0586) loss_seg: 0.0520 (0.0630) loss_lansim: 0.0946 (0.0903) loss_contra: 0.0000 (0.0037) time: 2.5785 data: 0.0026 max mem: 31671 Epoch: [21] [2330/5278] eta: 2:07:21 lr: 2.5049643620887242e-05 loss: 0.0482 (0.0586) loss_seg: 0.0511 (0.0629) loss_lansim: 0.0948 (0.0904) loss_contra: 0.0000 (0.0037) time: 2.5796 data: 0.0026 max mem: 31671 Epoch: [21] [2340/5278] eta: 2:06:56 lr: 2.5047341980848393e-05 loss: 0.0492 (0.0587) loss_seg: 0.0529 (0.0630) loss_lansim: 0.0937 (0.0903) loss_contra: 0.0000 (0.0036) time: 2.5781 data: 0.0026 max mem: 31671 Epoch: [21] [2350/5278] eta: 2:06:30 lr: 2.5045040317309155e-05 loss: 0.0492 (0.0587) loss_seg: 0.0529 (0.0630) loss_lansim: 0.0933 (0.0904) loss_contra: 0.0000 (0.0036) time: 2.5784 data: 0.0026 max mem: 31671 Epoch: [21] [2360/5278] eta: 2:06:04 lr: 2.5042738630266886e-05 loss: 0.0491 (0.0587) loss_seg: 0.0517 (0.0630) loss_lansim: 0.0922 (0.0904) loss_contra: 0.0000 (0.0036) time: 2.5833 data: 0.0026 max mem: 31671 Epoch: [21] [2370/5278] eta: 2:05:37 lr: 2.5040436919718945e-05 loss: 0.0507 (0.0587) loss_seg: 0.0541 (0.0630) loss_lansim: 0.0922 (0.0904) loss_contra: 0.0001 (0.0036) time: 2.5740 data: 0.0026 max mem: 31671 Epoch: [21] [2380/5278] eta: 2:05:10 lr: 2.5038135185662692e-05 loss: 0.0492 (0.0587) loss_seg: 0.0529 (0.0630) loss_lansim: 0.0903 (0.0904) loss_contra: 0.0001 (0.0036) time: 2.5706 data: 0.0026 max mem: 31671 Epoch: [21] [2390/5278] eta: 2:04:44 lr: 2.5035833428095485e-05 loss: 0.0516 (0.0587) loss_seg: 0.0540 (0.0630) loss_lansim: 0.0896 (0.0904) loss_contra: 0.0001 (0.0037) time: 2.5737 data: 0.0026 max mem: 31671 Epoch: [21] [2400/5278] eta: 2:04:17 lr: 2.503353164701468e-05 loss: 0.0523 (0.0587) loss_seg: 0.0567 (0.0631) loss_lansim: 0.0896 (0.0904) loss_contra: 0.0001 (0.0038) time: 2.5751 data: 0.0026 max mem: 31671 Epoch: [21] [2410/5278] eta: 2:03:51 lr: 2.503122984241765e-05 loss: 0.0547 (0.0588) loss_seg: 0.0572 (0.0632) loss_lansim: 0.0898 (0.0904) loss_contra: 0.0001 (0.0038) time: 2.5763 data: 0.0026 max mem: 31671 Epoch: [21] [2420/5278] eta: 2:03:24 lr: 2.5028928014301728e-05 loss: 0.0555 (0.0589) loss_seg: 0.0572 (0.0632) loss_lansim: 0.0901 (0.0904) loss_contra: 0.0001 (0.0038) time: 2.5624 data: 0.0026 max mem: 31671 Epoch: [21] [2430/5278] eta: 2:02:58 lr: 2.5026626162664285e-05 loss: 0.0547 (0.0589) loss_seg: 0.0567 (0.0632) loss_lansim: 0.0902 (0.0905) loss_contra: 0.0001 (0.0038) time: 2.5572 data: 0.0026 max mem: 31671 Epoch: [21] [2440/5278] eta: 2:02:32 lr: 2.502432428750267e-05 loss: 0.0523 (0.0588) loss_seg: 0.0560 (0.0631) loss_lansim: 0.0909 (0.0905) loss_contra: 0.0001 (0.0038) time: 2.5550 data: 0.0026 max mem: 31671 Epoch: [21] [2450/5278] eta: 2:02:06 lr: 2.5022022388814254e-05 loss: 0.0547 (0.0589) loss_seg: 0.0560 (0.0632) loss_lansim: 0.0909 (0.0905) loss_contra: 0.0001 (0.0038) time: 2.5530 data: 0.0026 max mem: 31671 Epoch: [21] [2460/5278] eta: 2:01:40 lr: 2.5019720466596368e-05 loss: 0.0547 (0.0588) loss_seg: 0.0558 (0.0631) loss_lansim: 0.0902 (0.0905) loss_contra: 0.0001 (0.0038) time: 2.5556 data: 0.0026 max mem: 31671 Epoch: [21] [2470/5278] eta: 2:01:15 lr: 2.501741852084638e-05 loss: 0.0507 (0.0588) loss_seg: 0.0547 (0.0631) loss_lansim: 0.0912 (0.0905) loss_contra: 0.0001 (0.0038) time: 2.5667 data: 0.0026 max mem: 31671 Epoch: [21] [2480/5278] eta: 2:00:49 lr: 2.501511655156164e-05 loss: 0.0507 (0.0588) loss_seg: 0.0550 (0.0631) loss_lansim: 0.0930 (0.0905) loss_contra: 0.0001 (0.0038) time: 2.5771 data: 0.0026 max mem: 31671 Epoch: [21] [2490/5278] eta: 2:00:24 lr: 2.5012814558739507e-05 loss: 0.0499 (0.0587) loss_seg: 0.0542 (0.0630) loss_lansim: 0.0930 (0.0906) loss_contra: 0.0001 (0.0038) time: 2.5873 data: 0.0026 max mem: 31671 Epoch: [21] [2500/5278] eta: 1:59:58 lr: 2.5010512542377324e-05 loss: 0.0496 (0.0587) loss_seg: 0.0529 (0.0630) loss_lansim: 0.0924 (0.0906) loss_contra: 0.0001 (0.0038) time: 2.5925 data: 0.0026 max mem: 31671 Epoch: [21] [2510/5278] eta: 1:59:32 lr: 2.5008210502472446e-05 loss: 0.0481 (0.0588) loss_seg: 0.0518 (0.0630) loss_lansim: 0.0941 (0.0906) loss_contra: 0.0001 (0.0038) time: 2.5930 data: 0.0026 max mem: 31671 Epoch: [21] [2520/5278] eta: 1:59:06 lr: 2.500590843902223e-05 loss: 0.0481 (0.0588) loss_seg: 0.0518 (0.0630) loss_lansim: 0.0930 (0.0906) loss_contra: 0.0001 (0.0038) time: 2.5988 data: 0.0025 max mem: 31671 Epoch: [21] [2530/5278] eta: 1:58:41 lr: 2.5003606352024022e-05 loss: 0.0499 (0.0588) loss_seg: 0.0545 (0.0630) loss_lansim: 0.0930 (0.0906) loss_contra: 0.0001 (0.0037) time: 2.6127 data: 0.0026 max mem: 31671 Epoch: [21] [2540/5278] eta: 1:58:17 lr: 2.500130424147517e-05 loss: 0.0500 (0.0588) loss_seg: 0.0547 (0.0631) loss_lansim: 0.0942 (0.0907) loss_contra: 0.0001 (0.0037) time: 2.6231 data: 0.0026 max mem: 31671 Epoch: [21] [2550/5278] eta: 1:57:51 lr: 2.4999002107373025e-05 loss: 0.0509 (0.0588) loss_seg: 0.0550 (0.0631) loss_lansim: 0.0945 (0.0907) loss_contra: 0.0001 (0.0037) time: 2.6307 data: 0.0026 max mem: 31671 Epoch: [21] [2560/5278] eta: 1:57:25 lr: 2.4996699949714938e-05 loss: 0.0512 (0.0588) loss_seg: 0.0557 (0.0631) loss_lansim: 0.0962 (0.0907) loss_contra: 0.0001 (0.0037) time: 2.6258 data: 0.0025 max mem: 31671 Epoch: [21] [2570/5278] eta: 1:56:59 lr: 2.499439776849826e-05 loss: 0.0537 (0.0589) loss_seg: 0.0572 (0.0632) loss_lansim: 0.0945 (0.0907) loss_contra: 0.0001 (0.0037) time: 2.6200 data: 0.0025 max mem: 31671 Epoch: [21] [2580/5278] eta: 1:56:32 lr: 2.499209556372033e-05 loss: 0.0542 (0.0589) loss_seg: 0.0593 (0.0632) loss_lansim: 0.0942 (0.0907) loss_contra: 0.0001 (0.0037) time: 2.6093 data: 0.0025 max mem: 31671 Epoch: [21] [2590/5278] eta: 1:56:05 lr: 2.49897933353785e-05 loss: 0.0556 (0.0591) loss_seg: 0.0604 (0.0634) loss_lansim: 0.0945 (0.0907) loss_contra: 0.0001 (0.0037) time: 2.5969 data: 0.0025 max mem: 31671 Epoch: [21] [2600/5278] eta: 1:55:40 lr: 2.498749108347012e-05 loss: 0.0560 (0.0592) loss_seg: 0.0613 (0.0635) loss_lansim: 0.0962 (0.0908) loss_contra: 0.0001 (0.0037) time: 2.6041 data: 0.0025 max mem: 31671 Epoch: [21] [2610/5278] eta: 1:55:14 lr: 2.498518880799253e-05 loss: 0.0560 (0.0593) loss_seg: 0.0613 (0.0636) loss_lansim: 0.0962 (0.0908) loss_contra: 0.0001 (0.0037) time: 2.6012 data: 0.0024 max mem: 31671 Epoch: [21] [2620/5278] eta: 1:54:47 lr: 2.4982886508943083e-05 loss: 0.0577 (0.0594) loss_seg: 0.0618 (0.0637) loss_lansim: 0.0969 (0.0909) loss_contra: 0.0001 (0.0037) time: 2.5989 data: 0.0025 max mem: 31671 Epoch: [21] [2630/5278] eta: 1:54:22 lr: 2.4980584186319116e-05 loss: 0.0577 (0.0594) loss_seg: 0.0621 (0.0637) loss_lansim: 0.0962 (0.0909) loss_contra: 0.0001 (0.0037) time: 2.5927 data: 0.0025 max mem: 31671 Epoch: [21] [2640/5278] eta: 1:53:56 lr: 2.4978281840117976e-05 loss: 0.0579 (0.0594) loss_seg: 0.0621 (0.0637) loss_lansim: 0.0961 (0.0909) loss_contra: 0.0001 (0.0037) time: 2.5770 data: 0.0025 max mem: 31671 Epoch: [21] [2650/5278] eta: 1:53:30 lr: 2.497597947033701e-05 loss: 0.0569 (0.0594) loss_seg: 0.0618 (0.0637) loss_lansim: 0.0967 (0.0909) loss_contra: 0.0001 (0.0037) time: 2.5760 data: 0.0025 max mem: 31671 Epoch: [21] [2660/5278] eta: 1:53:04 lr: 2.497367707697356e-05 loss: 0.0579 (0.0594) loss_seg: 0.0618 (0.0637) loss_lansim: 0.0967 (0.0909) loss_contra: 0.0001 (0.0037) time: 2.5757 data: 0.0025 max mem: 31671 Epoch: [21] [2670/5278] eta: 1:52:38 lr: 2.4971374660024967e-05 loss: 0.0569 (0.0594) loss_seg: 0.0598 (0.0637) loss_lansim: 0.0969 (0.0910) loss_contra: 0.0001 (0.0037) time: 2.5785 data: 0.0025 max mem: 31671 Epoch: [21] [2680/5278] eta: 1:52:11 lr: 2.4969072219488572e-05 loss: 0.0569 (0.0594) loss_seg: 0.0598 (0.0637) loss_lansim: 0.0975 (0.0910) loss_contra: 0.0001 (0.0037) time: 2.5775 data: 0.0025 max mem: 31671 Epoch: [21] [2690/5278] eta: 1:51:46 lr: 2.496676975536172e-05 loss: 0.0579 (0.0593) loss_seg: 0.0618 (0.0637) loss_lansim: 0.0975 (0.0910) loss_contra: 0.0001 (0.0037) time: 2.5861 data: 0.0025 max mem: 31671 Epoch: [21] [2700/5278] eta: 1:51:19 lr: 2.4964467267641758e-05 loss: 0.0569 (0.0594) loss_seg: 0.0595 (0.0637) loss_lansim: 0.0957 (0.0910) loss_contra: 0.0001 (0.0037) time: 2.5714 data: 0.0026 max mem: 31671 Epoch: [21] [2710/5278] eta: 1:50:53 lr: 2.496216475632601e-05 loss: 0.0564 (0.0594) loss_seg: 0.0591 (0.0638) loss_lansim: 0.0948 (0.0911) loss_contra: 0.0001 (0.0037) time: 2.5758 data: 0.0026 max mem: 31671 Epoch: [21] [2720/5278] eta: 1:50:27 lr: 2.4959862221411825e-05 loss: 0.0536 (0.0594) loss_seg: 0.0561 (0.0638) loss_lansim: 0.0948 (0.0911) loss_contra: 0.0001 (0.0037) time: 2.5754 data: 0.0026 max mem: 31671 Epoch: [21] [2730/5278] eta: 1:50:01 lr: 2.4957559662896544e-05 loss: 0.0542 (0.0596) loss_seg: 0.0575 (0.0639) loss_lansim: 0.0950 (0.0911) loss_contra: 0.0001 (0.0037) time: 2.5707 data: 0.0026 max mem: 31671 Epoch: [21] [2740/5278] eta: 1:49:35 lr: 2.4955257080777508e-05 loss: 0.0542 (0.0595) loss_seg: 0.0575 (0.0639) loss_lansim: 0.0950 (0.0911) loss_contra: 0.0001 (0.0038) time: 2.5677 data: 0.0026 max mem: 31671 Epoch: [21] [2750/5278] eta: 1:49:08 lr: 2.4952954475052046e-05 loss: 0.0564 (0.0596) loss_seg: 0.0595 (0.0639) loss_lansim: 0.0948 (0.0912) loss_contra: 0.0001 (0.0038) time: 2.5609 data: 0.0026 max mem: 31671 Epoch: [21] [2760/5278] eta: 1:48:43 lr: 2.49506518457175e-05 loss: 0.0542 (0.0595) loss_seg: 0.0575 (0.0639) loss_lansim: 0.0948 (0.0912) loss_contra: 0.0001 (0.0038) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [21] [2770/5278] eta: 1:48:17 lr: 2.4948349192771208e-05 loss: 0.0559 (0.0595) loss_seg: 0.0595 (0.0638) loss_lansim: 0.0948 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5670 data: 0.0027 max mem: 31671 Epoch: [21] [2780/5278] eta: 1:47:50 lr: 2.4946046516210508e-05 loss: 0.0540 (0.0596) loss_seg: 0.0575 (0.0639) loss_lansim: 0.0943 (0.0912) loss_contra: 0.0001 (0.0038) time: 2.5685 data: 0.0027 max mem: 31671 Epoch: [21] [2790/5278] eta: 1:47:25 lr: 2.494374381603273e-05 loss: 0.0542 (0.0597) loss_seg: 0.0584 (0.0641) loss_lansim: 0.0934 (0.0912) loss_contra: 0.0001 (0.0038) time: 2.5747 data: 0.0027 max mem: 31671 Epoch: [21] [2800/5278] eta: 1:46:59 lr: 2.4941441092235214e-05 loss: 0.0540 (0.0597) loss_seg: 0.0584 (0.0641) loss_lansim: 0.0919 (0.0912) loss_contra: 0.0001 (0.0038) time: 2.5758 data: 0.0027 max mem: 31671 Epoch: [21] [2810/5278] eta: 1:46:33 lr: 2.4939138344815292e-05 loss: 0.0522 (0.0597) loss_seg: 0.0575 (0.0641) loss_lansim: 0.0918 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5744 data: 0.0027 max mem: 31671 Epoch: [21] [2820/5278] eta: 1:46:07 lr: 2.4936835573770304e-05 loss: 0.0534 (0.0597) loss_seg: 0.0575 (0.0641) loss_lansim: 0.0913 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5800 data: 0.0026 max mem: 31671 Epoch: [21] [2830/5278] eta: 1:45:40 lr: 2.4934532779097575e-05 loss: 0.0522 (0.0597) loss_seg: 0.0575 (0.0640) loss_lansim: 0.0903 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5716 data: 0.0026 max mem: 31671 Epoch: [21] [2840/5278] eta: 1:45:15 lr: 2.4932229960794443e-05 loss: 0.0520 (0.0597) loss_seg: 0.0563 (0.0640) loss_lansim: 0.0898 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5793 data: 0.0026 max mem: 31671 Epoch: [21] [2850/5278] eta: 1:44:48 lr: 2.492992711885824e-05 loss: 0.0508 (0.0597) loss_seg: 0.0555 (0.0640) loss_lansim: 0.0880 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5811 data: 0.0026 max mem: 31671 Epoch: [21] [2860/5278] eta: 1:44:23 lr: 2.49276242532863e-05 loss: 0.0513 (0.0597) loss_seg: 0.0561 (0.0641) loss_lansim: 0.0879 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5802 data: 0.0026 max mem: 31671 Epoch: [21] [2870/5278] eta: 1:43:57 lr: 2.4925321364075948e-05 loss: 0.0520 (0.0597) loss_seg: 0.0566 (0.0641) loss_lansim: 0.0880 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5858 data: 0.0025 max mem: 31671 Epoch: [21] [2880/5278] eta: 1:43:32 lr: 2.4923018451224518e-05 loss: 0.0505 (0.0597) loss_seg: 0.0556 (0.0640) loss_lansim: 0.0883 (0.0912) loss_contra: 0.0001 (0.0038) time: 2.5985 data: 0.0025 max mem: 31671 Epoch: [21] [2890/5278] eta: 1:43:06 lr: 2.492071551472934e-05 loss: 0.0502 (0.0597) loss_seg: 0.0548 (0.0640) loss_lansim: 0.0894 (0.0912) loss_contra: 0.0001 (0.0038) time: 2.5856 data: 0.0026 max mem: 31671 Epoch: [21] [2900/5278] eta: 1:42:39 lr: 2.4918412554587746e-05 loss: 0.0493 (0.0596) loss_seg: 0.0539 (0.0640) loss_lansim: 0.0894 (0.0912) loss_contra: 0.0001 (0.0038) time: 2.5852 data: 0.0026 max mem: 31671 Epoch: [21] [2910/5278] eta: 1:42:13 lr: 2.4916109570797063e-05 loss: 0.0491 (0.0596) loss_seg: 0.0513 (0.0640) loss_lansim: 0.0894 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5850 data: 0.0026 max mem: 31671 Epoch: [21] [2920/5278] eta: 1:41:48 lr: 2.4913806563354615e-05 loss: 0.0492 (0.0597) loss_seg: 0.0536 (0.0640) loss_lansim: 0.0895 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.5919 data: 0.0026 max mem: 31671 Epoch: [21] [2930/5278] eta: 1:41:22 lr: 2.491150353225774e-05 loss: 0.0478 (0.0596) loss_seg: 0.0513 (0.0640) loss_lansim: 0.0898 (0.0912) loss_contra: 0.0001 (0.0037) time: 2.6042 data: 0.0026 max mem: 31671 Epoch: [21] [2940/5278] eta: 1:40:56 lr: 2.4909200477503754e-05 loss: 0.0479 (0.0596) loss_seg: 0.0519 (0.0640) loss_lansim: 0.0900 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.6012 data: 0.0026 max mem: 31671 Epoch: [21] [2950/5278] eta: 1:40:31 lr: 2.490689739908999e-05 loss: 0.0478 (0.0596) loss_seg: 0.0508 (0.0640) loss_lansim: 0.0920 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.6080 data: 0.0026 max mem: 31671 Epoch: [21] [2960/5278] eta: 1:40:05 lr: 2.4904594297013772e-05 loss: 0.0471 (0.0597) loss_seg: 0.0504 (0.0641) loss_lansim: 0.0929 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.6116 data: 0.0026 max mem: 31671 Epoch: [21] [2970/5278] eta: 1:39:39 lr: 2.4902291171272426e-05 loss: 0.0446 (0.0596) loss_seg: 0.0488 (0.0640) loss_lansim: 0.0931 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.6004 data: 0.0026 max mem: 31671 Epoch: [21] [2980/5278] eta: 1:39:13 lr: 2.4899988021863278e-05 loss: 0.0446 (0.0596) loss_seg: 0.0488 (0.0640) loss_lansim: 0.0932 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.5970 data: 0.0026 max mem: 31671 Epoch: [21] [2990/5278] eta: 1:38:47 lr: 2.4897684848783653e-05 loss: 0.0449 (0.0596) loss_seg: 0.0488 (0.0640) loss_lansim: 0.0932 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.5932 data: 0.0026 max mem: 31671 Epoch: [21] [3000/5278] eta: 1:38:20 lr: 2.489538165203087e-05 loss: 0.0450 (0.0595) loss_seg: 0.0495 (0.0639) loss_lansim: 0.0932 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.5919 data: 0.0026 max mem: 31671 Epoch: [21] [3010/5278] eta: 1:37:55 lr: 2.4893078431602254e-05 loss: 0.0454 (0.0596) loss_seg: 0.0498 (0.0639) loss_lansim: 0.0929 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.6005 data: 0.0026 max mem: 31671 Epoch: [21] [3020/5278] eta: 1:37:29 lr: 2.489077518749513e-05 loss: 0.0460 (0.0596) loss_seg: 0.0505 (0.0640) loss_lansim: 0.0920 (0.0913) loss_contra: 0.0001 (0.0038) time: 2.5876 data: 0.0026 max mem: 31671 Epoch: [21] [3030/5278] eta: 1:37:03 lr: 2.4888471919706824e-05 loss: 0.0463 (0.0596) loss_seg: 0.0509 (0.0639) loss_lansim: 0.0908 (0.0913) loss_contra: 0.0001 (0.0037) time: 2.5882 data: 0.0026 max mem: 31671 Epoch: [21] [3040/5278] eta: 1:36:37 lr: 2.4886168628234645e-05 loss: 0.0460 (0.0595) loss_seg: 0.0503 (0.0639) loss_lansim: 0.0907 (0.0913) loss_contra: 0.0001 (0.0039) time: 2.5873 data: 0.0026 max mem: 31671 Epoch: [21] [3050/5278] eta: 1:36:11 lr: 2.4883865313075925e-05 loss: 0.0482 (0.0595) loss_seg: 0.0524 (0.0639) loss_lansim: 0.0911 (0.0913) loss_contra: 0.0001 (0.0039) time: 2.5784 data: 0.0026 max mem: 31671 Epoch: [21] [3060/5278] eta: 1:35:45 lr: 2.4881561974227977e-05 loss: 0.0463 (0.0595) loss_seg: 0.0503 (0.0639) loss_lansim: 0.0901 (0.0913) loss_contra: 0.0001 (0.0039) time: 2.5679 data: 0.0026 max mem: 31671 Epoch: [21] [3070/5278] eta: 1:35:19 lr: 2.4879258611688132e-05 loss: 0.0482 (0.0594) loss_seg: 0.0524 (0.0638) loss_lansim: 0.0893 (0.0912) loss_contra: 0.0001 (0.0039) time: 2.5840 data: 0.0027 max mem: 31671 Epoch: [21] [3080/5278] eta: 1:34:54 lr: 2.4876955225453695e-05 loss: 0.0482 (0.0594) loss_seg: 0.0524 (0.0638) loss_lansim: 0.0901 (0.0912) loss_contra: 0.0001 (0.0039) time: 2.5802 data: 0.0027 max mem: 31671 Epoch: [21] [3090/5278] eta: 1:34:27 lr: 2.4874651815521987e-05 loss: 0.0493 (0.0595) loss_seg: 0.0524 (0.0638) loss_lansim: 0.0901 (0.0913) loss_contra: 0.0001 (0.0039) time: 2.5853 data: 0.0027 max mem: 31671 Epoch: [21] [3100/5278] eta: 1:34:02 lr: 2.487234838189033e-05 loss: 0.0498 (0.0595) loss_seg: 0.0531 (0.0639) loss_lansim: 0.0891 (0.0912) loss_contra: 0.0001 (0.0039) time: 2.5994 data: 0.0026 max mem: 31671 Epoch: [21] [3110/5278] eta: 1:33:37 lr: 2.4870044924556053e-05 loss: 0.0486 (0.0594) loss_seg: 0.0526 (0.0638) loss_lansim: 0.0889 (0.0912) loss_contra: 0.0001 (0.0039) time: 2.6039 data: 0.0026 max mem: 31671 Epoch: [21] [3120/5278] eta: 1:33:11 lr: 2.4867741443516447e-05 loss: 0.0482 (0.0594) loss_seg: 0.0523 (0.0638) loss_lansim: 0.0888 (0.0912) loss_contra: 0.0001 (0.0039) time: 2.6109 data: 0.0026 max mem: 31671 Epoch: [21] [3130/5278] eta: 1:32:45 lr: 2.4865437938768847e-05 loss: 0.0486 (0.0594) loss_seg: 0.0523 (0.0638) loss_lansim: 0.0875 (0.0912) loss_contra: 0.0000 (0.0039) time: 2.6014 data: 0.0026 max mem: 31671 Epoch: [21] [3140/5278] eta: 1:32:19 lr: 2.486313441031056e-05 loss: 0.0486 (0.0593) loss_seg: 0.0526 (0.0637) loss_lansim: 0.0866 (0.0912) loss_contra: 0.0001 (0.0039) time: 2.6072 data: 0.0025 max mem: 31671 Epoch: [21] [3150/5278] eta: 1:31:53 lr: 2.4860830858138907e-05 loss: 0.0486 (0.0594) loss_seg: 0.0526 (0.0638) loss_lansim: 0.0860 (0.0912) loss_contra: 0.0000 (0.0039) time: 2.6150 data: 0.0025 max mem: 31671 Epoch: [21] [3160/5278] eta: 1:31:27 lr: 2.485852728225121e-05 loss: 0.0498 (0.0594) loss_seg: 0.0534 (0.0638) loss_lansim: 0.0870 (0.0912) loss_contra: 0.0000 (0.0039) time: 2.6174 data: 0.0025 max mem: 31671 Epoch: [21] [3170/5278] eta: 1:31:02 lr: 2.485622368264476e-05 loss: 0.0502 (0.0595) loss_seg: 0.0540 (0.0639) loss_lansim: 0.0877 (0.0912) loss_contra: 0.0000 (0.0039) time: 2.6098 data: 0.0025 max mem: 31671 Epoch: [21] [3180/5278] eta: 1:30:36 lr: 2.4853920059316888e-05 loss: 0.0505 (0.0594) loss_seg: 0.0549 (0.0638) loss_lansim: 0.0875 (0.0911) loss_contra: 0.0000 (0.0039) time: 2.6125 data: 0.0025 max mem: 31671 Epoch: [21] [3190/5278] eta: 1:30:10 lr: 2.48516164122649e-05 loss: 0.0498 (0.0594) loss_seg: 0.0538 (0.0638) loss_lansim: 0.0863 (0.0911) loss_contra: 0.0001 (0.0039) time: 2.6133 data: 0.0025 max mem: 31671 Epoch: [21] [3200/5278] eta: 1:29:44 lr: 2.4849312741486115e-05 loss: 0.0489 (0.0594) loss_seg: 0.0534 (0.0638) loss_lansim: 0.0863 (0.0911) loss_contra: 0.0000 (0.0041) time: 2.6063 data: 0.0025 max mem: 31671 Epoch: [21] [3210/5278] eta: 1:29:19 lr: 2.4847009046977835e-05 loss: 0.0502 (0.0594) loss_seg: 0.0545 (0.0638) loss_lansim: 0.0863 (0.0911) loss_contra: 0.0001 (0.0040) time: 2.6042 data: 0.0025 max mem: 31671 Epoch: [21] [3220/5278] eta: 1:28:52 lr: 2.4844705328737376e-05 loss: 0.0502 (0.0594) loss_seg: 0.0545 (0.0638) loss_lansim: 0.0853 (0.0911) loss_contra: 0.0001 (0.0041) time: 2.6013 data: 0.0025 max mem: 31671 Epoch: [21] [3230/5278] eta: 1:28:27 lr: 2.4842401586762048e-05 loss: 0.0505 (0.0594) loss_seg: 0.0555 (0.0638) loss_lansim: 0.0852 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.6064 data: 0.0025 max mem: 31671 Epoch: [21] [3240/5278] eta: 1:28:01 lr: 2.4840097821049166e-05 loss: 0.0542 (0.0594) loss_seg: 0.0569 (0.0638) loss_lansim: 0.0851 (0.0910) loss_contra: 0.0001 (0.0040) time: 2.6040 data: 0.0025 max mem: 31671 Epoch: [21] [3250/5278] eta: 1:27:35 lr: 2.4837794031596028e-05 loss: 0.0524 (0.0594) loss_seg: 0.0558 (0.0638) loss_lansim: 0.0851 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.6017 data: 0.0025 max mem: 31671 Epoch: [21] [3260/5278] eta: 1:27:09 lr: 2.483549021839995e-05 loss: 0.0516 (0.0595) loss_seg: 0.0545 (0.0639) loss_lansim: 0.0851 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.6012 data: 0.0026 max mem: 31671 Epoch: [21] [3270/5278] eta: 1:26:43 lr: 2.483318638145824e-05 loss: 0.0498 (0.0594) loss_seg: 0.0534 (0.0638) loss_lansim: 0.0863 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5923 data: 0.0026 max mem: 31671 Epoch: [21] [3280/5278] eta: 1:26:17 lr: 2.4830882520768206e-05 loss: 0.0485 (0.0594) loss_seg: 0.0513 (0.0638) loss_lansim: 0.0863 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5919 data: 0.0026 max mem: 31671 Epoch: [21] [3290/5278] eta: 1:25:51 lr: 2.482857863632715e-05 loss: 0.0495 (0.0594) loss_seg: 0.0518 (0.0638) loss_lansim: 0.0878 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5959 data: 0.0026 max mem: 31671 Epoch: [21] [3300/5278] eta: 1:25:25 lr: 2.482627472813238e-05 loss: 0.0527 (0.0595) loss_seg: 0.0551 (0.0639) loss_lansim: 0.0885 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5908 data: 0.0026 max mem: 31671 Epoch: [21] [3310/5278] eta: 1:24:59 lr: 2.4823970796181205e-05 loss: 0.0523 (0.0596) loss_seg: 0.0546 (0.0640) loss_lansim: 0.0892 (0.0911) loss_contra: 0.0001 (0.0041) time: 2.5808 data: 0.0026 max mem: 31671 Epoch: [21] [3320/5278] eta: 1:24:33 lr: 2.4821666840470936e-05 loss: 0.0503 (0.0597) loss_seg: 0.0534 (0.0641) loss_lansim: 0.0892 (0.0911) loss_contra: 0.0001 (0.0041) time: 2.5797 data: 0.0026 max mem: 31671 Epoch: [21] [3330/5278] eta: 1:24:07 lr: 2.481936286099886e-05 loss: 0.0527 (0.0597) loss_seg: 0.0551 (0.0641) loss_lansim: 0.0912 (0.0911) loss_contra: 0.0001 (0.0041) time: 2.5821 data: 0.0026 max mem: 31671 Epoch: [21] [3340/5278] eta: 1:23:41 lr: 2.4817058857762295e-05 loss: 0.0516 (0.0597) loss_seg: 0.0546 (0.0641) loss_lansim: 0.0923 (0.0911) loss_contra: 0.0001 (0.0041) time: 2.5743 data: 0.0027 max mem: 31671 Epoch: [21] [3350/5278] eta: 1:23:15 lr: 2.481475483075854e-05 loss: 0.0503 (0.0597) loss_seg: 0.0545 (0.0641) loss_lansim: 0.0927 (0.0911) loss_contra: 0.0001 (0.0041) time: 2.5748 data: 0.0027 max mem: 31671 Epoch: [21] [3360/5278] eta: 1:22:49 lr: 2.4812450779984902e-05 loss: 0.0495 (0.0597) loss_seg: 0.0518 (0.0640) loss_lansim: 0.0936 (0.0911) loss_contra: 0.0001 (0.0041) time: 2.5759 data: 0.0027 max mem: 31671 Epoch: [21] [3370/5278] eta: 1:22:23 lr: 2.4810146705438675e-05 loss: 0.0513 (0.0596) loss_seg: 0.0545 (0.0640) loss_lansim: 0.0923 (0.0911) loss_contra: 0.0000 (0.0041) time: 2.5858 data: 0.0026 max mem: 31671 Epoch: [21] [3380/5278] eta: 1:21:57 lr: 2.4807842607117165e-05 loss: 0.0526 (0.0596) loss_seg: 0.0553 (0.0640) loss_lansim: 0.0916 (0.0911) loss_contra: 0.0000 (0.0041) time: 2.5827 data: 0.0026 max mem: 31671 Epoch: [21] [3390/5278] eta: 1:21:31 lr: 2.4805538485017675e-05 loss: 0.0503 (0.0596) loss_seg: 0.0545 (0.0640) loss_lansim: 0.0916 (0.0910) loss_contra: 0.0000 (0.0041) time: 2.5780 data: 0.0027 max mem: 31671 Epoch: [21] [3400/5278] eta: 1:21:05 lr: 2.4803234339137497e-05 loss: 0.0497 (0.0596) loss_seg: 0.0532 (0.0640) loss_lansim: 0.0921 (0.0911) loss_contra: 0.0000 (0.0042) time: 2.5754 data: 0.0026 max mem: 31671 Epoch: [21] [3410/5278] eta: 1:20:39 lr: 2.480093016947395e-05 loss: 0.0494 (0.0596) loss_seg: 0.0532 (0.0640) loss_lansim: 0.0916 (0.0911) loss_contra: 0.0000 (0.0043) time: 2.5759 data: 0.0026 max mem: 31671 Epoch: [21] [3420/5278] eta: 1:20:13 lr: 2.4798625976024313e-05 loss: 0.0490 (0.0596) loss_seg: 0.0532 (0.0639) loss_lansim: 0.0909 (0.0910) loss_contra: 0.0000 (0.0043) time: 2.5812 data: 0.0026 max mem: 31671 Epoch: [21] [3430/5278] eta: 1:19:47 lr: 2.4796321758785893e-05 loss: 0.0465 (0.0595) loss_seg: 0.0486 (0.0639) loss_lansim: 0.0903 (0.0910) loss_contra: 0.0001 (0.0043) time: 2.5731 data: 0.0026 max mem: 31671 Epoch: [21] [3440/5278] eta: 1:19:21 lr: 2.4794017517755987e-05 loss: 0.0467 (0.0595) loss_seg: 0.0513 (0.0639) loss_lansim: 0.0897 (0.0910) loss_contra: 0.0001 (0.0043) time: 2.5817 data: 0.0026 max mem: 31671 Epoch: [21] [3450/5278] eta: 1:18:55 lr: 2.47917132529319e-05 loss: 0.0467 (0.0595) loss_seg: 0.0513 (0.0639) loss_lansim: 0.0873 (0.0910) loss_contra: 0.0001 (0.0043) time: 2.5786 data: 0.0026 max mem: 31671 Epoch: [21] [3460/5278] eta: 1:18:30 lr: 2.4789408964310915e-05 loss: 0.0467 (0.0594) loss_seg: 0.0513 (0.0638) loss_lansim: 0.0869 (0.0910) loss_contra: 0.0001 (0.0043) time: 2.5842 data: 0.0026 max mem: 31671 Epoch: [21] [3470/5278] eta: 1:18:04 lr: 2.4787104651890335e-05 loss: 0.0456 (0.0594) loss_seg: 0.0479 (0.0638) loss_lansim: 0.0857 (0.0910) loss_contra: 0.0001 (0.0043) time: 2.5819 data: 0.0025 max mem: 31671 Epoch: [21] [3480/5278] eta: 1:17:38 lr: 2.4784800315667462e-05 loss: 0.0457 (0.0594) loss_seg: 0.0481 (0.0638) loss_lansim: 0.0869 (0.0910) loss_contra: 0.0001 (0.0043) time: 2.5948 data: 0.0025 max mem: 31671 Epoch: [21] [3490/5278] eta: 1:17:12 lr: 2.4782495955639585e-05 loss: 0.0437 (0.0594) loss_seg: 0.0480 (0.0638) loss_lansim: 0.0869 (0.0910) loss_contra: 0.0002 (0.0042) time: 2.5968 data: 0.0025 max mem: 31671 Epoch: [21] [3500/5278] eta: 1:16:47 lr: 2.4780191571803996e-05 loss: 0.0436 (0.0594) loss_seg: 0.0462 (0.0637) loss_lansim: 0.0856 (0.0910) loss_contra: 0.0001 (0.0042) time: 2.6081 data: 0.0025 max mem: 31671 Epoch: [21] [3510/5278] eta: 1:16:21 lr: 2.4777887164157994e-05 loss: 0.0437 (0.0593) loss_seg: 0.0462 (0.0637) loss_lansim: 0.0853 (0.0909) loss_contra: 0.0001 (0.0042) time: 2.6074 data: 0.0026 max mem: 31671 Epoch: [21] [3520/5278] eta: 1:15:55 lr: 2.477558273269887e-05 loss: 0.0443 (0.0593) loss_seg: 0.0480 (0.0637) loss_lansim: 0.0853 (0.0909) loss_contra: 0.0001 (0.0042) time: 2.6065 data: 0.0026 max mem: 31671 Epoch: [21] [3530/5278] eta: 1:15:29 lr: 2.477327827742392e-05 loss: 0.0443 (0.0593) loss_seg: 0.0480 (0.0637) loss_lansim: 0.0838 (0.0909) loss_contra: 0.0001 (0.0042) time: 2.6175 data: 0.0026 max mem: 31671 Epoch: [21] [3540/5278] eta: 1:15:03 lr: 2.477097379833043e-05 loss: 0.0442 (0.0594) loss_seg: 0.0472 (0.0638) loss_lansim: 0.0834 (0.0909) loss_contra: 0.0001 (0.0042) time: 2.6176 data: 0.0026 max mem: 31671 Epoch: [21] [3550/5278] eta: 1:14:38 lr: 2.4768669295415697e-05 loss: 0.0437 (0.0594) loss_seg: 0.0470 (0.0638) loss_lansim: 0.0834 (0.0909) loss_contra: 0.0001 (0.0042) time: 2.6245 data: 0.0026 max mem: 31671 Epoch: [21] [3560/5278] eta: 1:14:12 lr: 2.4766364768677008e-05 loss: 0.0462 (0.0594) loss_seg: 0.0482 (0.0638) loss_lansim: 0.0842 (0.0909) loss_contra: 0.0001 (0.0042) time: 2.6184 data: 0.0026 max mem: 31671 Epoch: [21] [3570/5278] eta: 1:13:46 lr: 2.4764060218111664e-05 loss: 0.0467 (0.0594) loss_seg: 0.0503 (0.0637) loss_lansim: 0.0842 (0.0909) loss_contra: 0.0001 (0.0042) time: 2.6187 data: 0.0026 max mem: 31671 Epoch: [21] [3580/5278] eta: 1:13:20 lr: 2.476175564371694e-05 loss: 0.0467 (0.0594) loss_seg: 0.0503 (0.0637) loss_lansim: 0.0834 (0.0909) loss_contra: 0.0001 (0.0042) time: 2.6071 data: 0.0026 max mem: 31671 Epoch: [21] [3590/5278] eta: 1:12:54 lr: 2.4759451045490133e-05 loss: 0.0473 (0.0594) loss_seg: 0.0520 (0.0638) loss_lansim: 0.0834 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.6117 data: 0.0026 max mem: 31671 Epoch: [21] [3600/5278] eta: 1:12:28 lr: 2.475714642342853e-05 loss: 0.0479 (0.0595) loss_seg: 0.0527 (0.0638) loss_lansim: 0.0839 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.6033 data: 0.0026 max mem: 31671 Epoch: [21] [3610/5278] eta: 1:12:03 lr: 2.475484177752943e-05 loss: 0.0492 (0.0595) loss_seg: 0.0540 (0.0639) loss_lansim: 0.0843 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.6141 data: 0.0026 max mem: 31671 Epoch: [21] [3620/5278] eta: 1:11:37 lr: 2.47525371077901e-05 loss: 0.0473 (0.0594) loss_seg: 0.0520 (0.0638) loss_lansim: 0.0842 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.6135 data: 0.0025 max mem: 31671 Epoch: [21] [3630/5278] eta: 1:11:11 lr: 2.4750232414207846e-05 loss: 0.0480 (0.0595) loss_seg: 0.0529 (0.0638) loss_lansim: 0.0877 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.6030 data: 0.0025 max mem: 31671 Epoch: [21] [3640/5278] eta: 1:10:45 lr: 2.474792769677994e-05 loss: 0.0509 (0.0595) loss_seg: 0.0561 (0.0638) loss_lansim: 0.0886 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.6038 data: 0.0025 max mem: 31671 Epoch: [21] [3650/5278] eta: 1:10:19 lr: 2.474562295550367e-05 loss: 0.0525 (0.0595) loss_seg: 0.0574 (0.0639) loss_lansim: 0.0904 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.5956 data: 0.0025 max mem: 31671 Epoch: [21] [3660/5278] eta: 1:09:53 lr: 2.4743318190376337e-05 loss: 0.0565 (0.0597) loss_seg: 0.0615 (0.0641) loss_lansim: 0.0898 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.6027 data: 0.0025 max mem: 31671 Epoch: [21] [3670/5278] eta: 1:09:27 lr: 2.4741013401395207e-05 loss: 0.0566 (0.0597) loss_seg: 0.0622 (0.0641) loss_lansim: 0.0894 (0.0908) loss_contra: 0.0001 (0.0042) time: 2.6050 data: 0.0025 max mem: 31671 Epoch: [21] [3680/5278] eta: 1:09:01 lr: 2.473870858855757e-05 loss: 0.0566 (0.0597) loss_seg: 0.0615 (0.0641) loss_lansim: 0.0898 (0.0908) loss_contra: 0.0000 (0.0042) time: 2.6008 data: 0.0026 max mem: 31671 Epoch: [21] [3690/5278] eta: 1:08:36 lr: 2.4736403751860712e-05 loss: 0.0615 (0.0597) loss_seg: 0.0629 (0.0641) loss_lansim: 0.0919 (0.0908) loss_contra: 0.0000 (0.0042) time: 2.6030 data: 0.0026 max mem: 31671 Epoch: [21] [3700/5278] eta: 1:08:10 lr: 2.4734098891301917e-05 loss: 0.0578 (0.0598) loss_seg: 0.0625 (0.0642) loss_lansim: 0.0916 (0.0908) loss_contra: 0.0000 (0.0042) time: 2.6134 data: 0.0026 max mem: 31671 Epoch: [21] [3710/5278] eta: 1:07:44 lr: 2.4731794006878463e-05 loss: 0.0584 (0.0598) loss_seg: 0.0629 (0.0642) loss_lansim: 0.0916 (0.0908) loss_contra: 0.0000 (0.0042) time: 2.6063 data: 0.0026 max mem: 31671 Epoch: [21] [3720/5278] eta: 1:07:18 lr: 2.472948909858763e-05 loss: 0.0584 (0.0597) loss_seg: 0.0645 (0.0641) loss_lansim: 0.0919 (0.0908) loss_contra: 0.0000 (0.0042) time: 2.6081 data: 0.0026 max mem: 31671 Epoch: [21] [3730/5278] eta: 1:06:52 lr: 2.4727184166426703e-05 loss: 0.0556 (0.0597) loss_seg: 0.0615 (0.0641) loss_lansim: 0.0914 (0.0908) loss_contra: 0.0000 (0.0042) time: 2.6112 data: 0.0026 max mem: 31671 Epoch: [21] [3740/5278] eta: 1:06:26 lr: 2.472487921039297e-05 loss: 0.0541 (0.0597) loss_seg: 0.0598 (0.0642) loss_lansim: 0.0916 (0.0909) loss_contra: 0.0000 (0.0042) time: 2.6061 data: 0.0026 max mem: 31671 Epoch: [21] [3750/5278] eta: 1:06:00 lr: 2.472257423048369e-05 loss: 0.0538 (0.0597) loss_seg: 0.0593 (0.0642) loss_lansim: 0.0919 (0.0909) loss_contra: 0.0000 (0.0042) time: 2.6119 data: 0.0027 max mem: 31671 Epoch: [21] [3760/5278] eta: 1:05:35 lr: 2.472026922669616e-05 loss: 0.0526 (0.0598) loss_seg: 0.0578 (0.0642) loss_lansim: 0.0923 (0.0909) loss_contra: 0.0000 (0.0042) time: 2.6108 data: 0.0026 max mem: 31671 Epoch: [21] [3770/5278] eta: 1:05:09 lr: 2.471796419902765e-05 loss: 0.0522 (0.0597) loss_seg: 0.0575 (0.0642) loss_lansim: 0.0931 (0.0909) loss_contra: 0.0000 (0.0042) time: 2.6047 data: 0.0026 max mem: 31671 Epoch: [21] [3780/5278] eta: 1:04:42 lr: 2.4715659147475452e-05 loss: 0.0504 (0.0597) loss_seg: 0.0550 (0.0641) loss_lansim: 0.0933 (0.0909) loss_contra: 0.0000 (0.0041) time: 2.6030 data: 0.0026 max mem: 31671 Epoch: [21] [3790/5278] eta: 1:04:17 lr: 2.4713354072036822e-05 loss: 0.0469 (0.0597) loss_seg: 0.0517 (0.0641) loss_lansim: 0.0929 (0.0909) loss_contra: 0.0000 (0.0041) time: 2.6055 data: 0.0026 max mem: 31671 Epoch: [21] [3800/5278] eta: 1:03:51 lr: 2.4711048972709054e-05 loss: 0.0459 (0.0597) loss_seg: 0.0504 (0.0641) loss_lansim: 0.0937 (0.0909) loss_contra: 0.0000 (0.0041) time: 2.5977 data: 0.0026 max mem: 31671 Epoch: [21] [3810/5278] eta: 1:03:25 lr: 2.4708743849489414e-05 loss: 0.0462 (0.0597) loss_seg: 0.0495 (0.0642) loss_lansim: 0.0943 (0.0909) loss_contra: 0.0000 (0.0042) time: 2.5849 data: 0.0026 max mem: 31671 Epoch: [21] [3820/5278] eta: 1:02:58 lr: 2.470643870237519e-05 loss: 0.0473 (0.0597) loss_seg: 0.0495 (0.0641) loss_lansim: 0.0943 (0.0910) loss_contra: 0.0000 (0.0042) time: 2.5781 data: 0.0026 max mem: 31671 Epoch: [21] [3830/5278] eta: 1:02:33 lr: 2.4704133531363642e-05 loss: 0.0496 (0.0597) loss_seg: 0.0521 (0.0641) loss_lansim: 0.0945 (0.0910) loss_contra: 0.0000 (0.0042) time: 2.5787 data: 0.0026 max mem: 31671 Epoch: [21] [3840/5278] eta: 1:02:07 lr: 2.4701828336452055e-05 loss: 0.0477 (0.0597) loss_seg: 0.0514 (0.0641) loss_lansim: 0.0945 (0.0910) loss_contra: 0.0000 (0.0042) time: 2.5866 data: 0.0026 max mem: 31671 Epoch: [21] [3850/5278] eta: 1:01:41 lr: 2.4699523117637697e-05 loss: 0.0477 (0.0597) loss_seg: 0.0514 (0.0642) loss_lansim: 0.0945 (0.0910) loss_contra: 0.0000 (0.0042) time: 2.5821 data: 0.0026 max mem: 31671 Epoch: [21] [3860/5278] eta: 1:01:15 lr: 2.469721787491785e-05 loss: 0.0502 (0.0597) loss_seg: 0.0523 (0.0642) loss_lansim: 0.0932 (0.0910) loss_contra: 0.0001 (0.0042) time: 2.5786 data: 0.0026 max mem: 31671 Epoch: [21] [3870/5278] eta: 1:00:49 lr: 2.4694912608289775e-05 loss: 0.0504 (0.0597) loss_seg: 0.0523 (0.0642) loss_lansim: 0.0918 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5847 data: 0.0026 max mem: 31671 Epoch: [21] [3880/5278] eta: 1:00:23 lr: 2.4692607317750753e-05 loss: 0.0507 (0.0597) loss_seg: 0.0550 (0.0642) loss_lansim: 0.0910 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5835 data: 0.0026 max mem: 31671 Epoch: [21] [3890/5278] eta: 0:59:57 lr: 2.469030200329805e-05 loss: 0.0516 (0.0598) loss_seg: 0.0551 (0.0642) loss_lansim: 0.0910 (0.0910) loss_contra: 0.0001 (0.0042) time: 2.5747 data: 0.0026 max mem: 31671 Epoch: [21] [3900/5278] eta: 0:59:31 lr: 2.4687996664928938e-05 loss: 0.0503 (0.0597) loss_seg: 0.0549 (0.0642) loss_lansim: 0.0918 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5756 data: 0.0026 max mem: 31671 Epoch: [21] [3910/5278] eta: 0:59:05 lr: 2.46856913026407e-05 loss: 0.0503 (0.0597) loss_seg: 0.0549 (0.0642) loss_lansim: 0.0916 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5770 data: 0.0027 max mem: 31671 Epoch: [21] [3920/5278] eta: 0:58:39 lr: 2.4683385916430584e-05 loss: 0.0516 (0.0597) loss_seg: 0.0556 (0.0642) loss_lansim: 0.0920 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5871 data: 0.0026 max mem: 31671 Epoch: [21] [3930/5278] eta: 0:58:13 lr: 2.4681080506295874e-05 loss: 0.0499 (0.0597) loss_seg: 0.0542 (0.0641) loss_lansim: 0.0923 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5895 data: 0.0027 max mem: 31671 Epoch: [21] [3940/5278] eta: 0:57:47 lr: 2.467877507223383e-05 loss: 0.0493 (0.0597) loss_seg: 0.0517 (0.0641) loss_lansim: 0.0916 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5789 data: 0.0027 max mem: 31671 Epoch: [21] [3950/5278] eta: 0:57:21 lr: 2.4676469614241736e-05 loss: 0.0497 (0.0596) loss_seg: 0.0527 (0.0641) loss_lansim: 0.0912 (0.0910) loss_contra: 0.0001 (0.0041) time: 2.5819 data: 0.0027 max mem: 31671 Epoch: [21] [3960/5278] eta: 0:56:55 lr: 2.4674164132316836e-05 loss: 0.0478 (0.0596) loss_seg: 0.0514 (0.0641) loss_lansim: 0.0909 (0.0910) loss_contra: 0.0001 (0.0042) time: 2.5840 data: 0.0027 max mem: 31671 Epoch: [21] [3970/5278] eta: 0:56:30 lr: 2.4671858626456415e-05 loss: 0.0483 (0.0596) loss_seg: 0.0517 (0.0641) loss_lansim: 0.0913 (0.0910) loss_contra: 0.0001 (0.0042) time: 2.5835 data: 0.0026 max mem: 31671 Epoch: [21] [3980/5278] eta: 0:56:04 lr: 2.466955309665773e-05 loss: 0.0471 (0.0596) loss_seg: 0.0514 (0.0640) loss_lansim: 0.0913 (0.0910) loss_contra: 0.0001 (0.0042) time: 2.5853 data: 0.0027 max mem: 31671 Epoch: [21] [3990/5278] eta: 0:55:38 lr: 2.4667247542918058e-05 loss: 0.0463 (0.0596) loss_seg: 0.0509 (0.0640) loss_lansim: 0.0918 (0.0911) loss_contra: 0.0001 (0.0043) time: 2.5860 data: 0.0027 max mem: 31671 Epoch: [21] [4000/5278] eta: 0:55:12 lr: 2.4664941965234647e-05 loss: 0.0471 (0.0596) loss_seg: 0.0515 (0.0640) loss_lansim: 0.0909 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5839 data: 0.0026 max mem: 31671 Epoch: [21] [4010/5278] eta: 0:54:46 lr: 2.4662636363604775e-05 loss: 0.0489 (0.0596) loss_seg: 0.0517 (0.0640) loss_lansim: 0.0909 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5882 data: 0.0026 max mem: 31671 Epoch: [21] [4020/5278] eta: 0:54:20 lr: 2.4660330738025696e-05 loss: 0.0468 (0.0596) loss_seg: 0.0513 (0.0640) loss_lansim: 0.0903 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5823 data: 0.0026 max mem: 31671 Epoch: [21] [4030/5278] eta: 0:53:54 lr: 2.4658025088494687e-05 loss: 0.0489 (0.0596) loss_seg: 0.0514 (0.0640) loss_lansim: 0.0896 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5768 data: 0.0026 max mem: 31671 Epoch: [21] [4040/5278] eta: 0:53:28 lr: 2.4655719415008997e-05 loss: 0.0502 (0.0596) loss_seg: 0.0539 (0.0640) loss_lansim: 0.0893 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5796 data: 0.0026 max mem: 31671 Epoch: [21] [4050/5278] eta: 0:53:02 lr: 2.465341371756589e-05 loss: 0.0496 (0.0596) loss_seg: 0.0523 (0.0640) loss_lansim: 0.0896 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5730 data: 0.0026 max mem: 31671 Epoch: [21] [4060/5278] eta: 0:52:36 lr: 2.4651107996162633e-05 loss: 0.0496 (0.0596) loss_seg: 0.0538 (0.0640) loss_lansim: 0.0903 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5654 data: 0.0026 max mem: 31671 Epoch: [21] [4070/5278] eta: 0:52:09 lr: 2.464880225079649e-05 loss: 0.0514 (0.0597) loss_seg: 0.0544 (0.0641) loss_lansim: 0.0903 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5602 data: 0.0026 max mem: 31671 Epoch: [21] [4080/5278] eta: 0:51:44 lr: 2.464649648146471e-05 loss: 0.0531 (0.0597) loss_seg: 0.0545 (0.0641) loss_lansim: 0.0903 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5648 data: 0.0026 max mem: 31671 Epoch: [21] [4090/5278] eta: 0:51:18 lr: 2.464419068816456e-05 loss: 0.0533 (0.0597) loss_seg: 0.0547 (0.0641) loss_lansim: 0.0903 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5710 data: 0.0026 max mem: 31671 Epoch: [21] [4100/5278] eta: 0:50:52 lr: 2.4641884870893294e-05 loss: 0.0533 (0.0597) loss_seg: 0.0547 (0.0641) loss_lansim: 0.0903 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5728 data: 0.0026 max mem: 31671 Epoch: [21] [4110/5278] eta: 0:50:26 lr: 2.463957902964818e-05 loss: 0.0546 (0.0597) loss_seg: 0.0547 (0.0641) loss_lansim: 0.0912 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5777 data: 0.0026 max mem: 31671 Epoch: [21] [4120/5278] eta: 0:50:00 lr: 2.4637273164426468e-05 loss: 0.0551 (0.0598) loss_seg: 0.0561 (0.0642) loss_lansim: 0.0919 (0.0912) loss_contra: 0.0001 (0.0044) time: 2.5801 data: 0.0026 max mem: 31671 Epoch: [21] [4130/5278] eta: 0:49:34 lr: 2.4634967275225413e-05 loss: 0.0546 (0.0598) loss_seg: 0.0566 (0.0642) loss_lansim: 0.0927 (0.0912) loss_contra: 0.0001 (0.0044) time: 2.5931 data: 0.0026 max mem: 31671 Epoch: [21] [4140/5278] eta: 0:49:09 lr: 2.4632661362042274e-05 loss: 0.0533 (0.0598) loss_seg: 0.0561 (0.0642) loss_lansim: 0.0939 (0.0912) loss_contra: 0.0001 (0.0044) time: 2.5954 data: 0.0026 max mem: 31671 Epoch: [21] [4150/5278] eta: 0:48:43 lr: 2.4630355424874312e-05 loss: 0.0567 (0.0598) loss_seg: 0.0593 (0.0643) loss_lansim: 0.0943 (0.0912) loss_contra: 0.0001 (0.0044) time: 2.6014 data: 0.0025 max mem: 31671 Epoch: [21] [4160/5278] eta: 0:48:17 lr: 2.4628049463718784e-05 loss: 0.0553 (0.0598) loss_seg: 0.0588 (0.0643) loss_lansim: 0.0945 (0.0912) loss_contra: 0.0001 (0.0045) time: 2.6008 data: 0.0026 max mem: 31671 Epoch: [21] [4170/5278] eta: 0:47:51 lr: 2.462574347857294e-05 loss: 0.0533 (0.0598) loss_seg: 0.0569 (0.0643) loss_lansim: 0.0950 (0.0912) loss_contra: 0.0001 (0.0045) time: 2.6014 data: 0.0026 max mem: 31671 Epoch: [21] [4180/5278] eta: 0:47:25 lr: 2.4623437469434028e-05 loss: 0.0533 (0.0598) loss_seg: 0.0569 (0.0642) loss_lansim: 0.0960 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.6080 data: 0.0026 max mem: 31671 Epoch: [21] [4190/5278] eta: 0:46:59 lr: 2.4621131436299307e-05 loss: 0.0482 (0.0598) loss_seg: 0.0530 (0.0642) loss_lansim: 0.0956 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.6071 data: 0.0026 max mem: 31671 Epoch: [21] [4200/5278] eta: 0:46:33 lr: 2.4618825379166043e-05 loss: 0.0482 (0.0598) loss_seg: 0.0524 (0.0642) loss_lansim: 0.0967 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.6135 data: 0.0025 max mem: 31671 Epoch: [21] [4210/5278] eta: 0:46:07 lr: 2.4616519298031466e-05 loss: 0.0482 (0.0597) loss_seg: 0.0524 (0.0642) loss_lansim: 0.0968 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.6126 data: 0.0026 max mem: 31671 Epoch: [21] [4220/5278] eta: 0:45:42 lr: 2.461421319289284e-05 loss: 0.0472 (0.0597) loss_seg: 0.0507 (0.0641) loss_lansim: 0.0969 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.6131 data: 0.0026 max mem: 31671 Epoch: [21] [4230/5278] eta: 0:45:16 lr: 2.461190706374741e-05 loss: 0.0468 (0.0597) loss_seg: 0.0505 (0.0641) loss_lansim: 0.0968 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.6072 data: 0.0026 max mem: 31671 Epoch: [21] [4240/5278] eta: 0:44:50 lr: 2.4609600910592442e-05 loss: 0.0472 (0.0597) loss_seg: 0.0505 (0.0641) loss_lansim: 0.0967 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6094 data: 0.0026 max mem: 31671 Epoch: [21] [4250/5278] eta: 0:44:24 lr: 2.460729473342517e-05 loss: 0.0452 (0.0597) loss_seg: 0.0482 (0.0641) loss_lansim: 0.0965 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6151 data: 0.0026 max mem: 31671 Epoch: [21] [4260/5278] eta: 0:43:58 lr: 2.460498853224285e-05 loss: 0.0441 (0.0596) loss_seg: 0.0471 (0.0640) loss_lansim: 0.0960 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6159 data: 0.0026 max mem: 31671 Epoch: [21] [4270/5278] eta: 0:43:32 lr: 2.4602682307042726e-05 loss: 0.0441 (0.0596) loss_seg: 0.0471 (0.0641) loss_lansim: 0.0950 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6180 data: 0.0026 max mem: 31671 Epoch: [21] [4280/5278] eta: 0:43:06 lr: 2.4600376057822054e-05 loss: 0.0441 (0.0596) loss_seg: 0.0472 (0.0640) loss_lansim: 0.0944 (0.0913) loss_contra: 0.0001 (0.0044) time: 2.6119 data: 0.0026 max mem: 31671 Epoch: [21] [4290/5278] eta: 0:42:40 lr: 2.459806978457808e-05 loss: 0.0448 (0.0596) loss_seg: 0.0472 (0.0640) loss_lansim: 0.0947 (0.0913) loss_contra: 0.0001 (0.0044) time: 2.6081 data: 0.0026 max mem: 31671 Epoch: [21] [4300/5278] eta: 0:42:14 lr: 2.4595763487308044e-05 loss: 0.0448 (0.0596) loss_seg: 0.0482 (0.0640) loss_lansim: 0.0945 (0.0914) loss_contra: 0.0001 (0.0044) time: 2.6031 data: 0.0026 max mem: 31671 Epoch: [21] [4310/5278] eta: 0:41:48 lr: 2.4593457166009194e-05 loss: 0.0459 (0.0596) loss_seg: 0.0482 (0.0640) loss_lansim: 0.0925 (0.0914) loss_contra: 0.0001 (0.0044) time: 2.6021 data: 0.0026 max mem: 31671 Epoch: [21] [4320/5278] eta: 0:41:23 lr: 2.459115082067879e-05 loss: 0.0448 (0.0596) loss_seg: 0.0482 (0.0640) loss_lansim: 0.0925 (0.0914) loss_contra: 0.0001 (0.0044) time: 2.6029 data: 0.0026 max mem: 31671 Epoch: [21] [4330/5278] eta: 0:40:57 lr: 2.4588844451314056e-05 loss: 0.0439 (0.0595) loss_seg: 0.0468 (0.0640) loss_lansim: 0.0925 (0.0914) loss_contra: 0.0001 (0.0044) time: 2.6047 data: 0.0026 max mem: 31671 Epoch: [21] [4340/5278] eta: 0:40:31 lr: 2.4586538057912252e-05 loss: 0.0428 (0.0595) loss_seg: 0.0454 (0.0640) loss_lansim: 0.0927 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6103 data: 0.0026 max mem: 31671 Epoch: [21] [4350/5278] eta: 0:40:05 lr: 2.4584231640470616e-05 loss: 0.0441 (0.0595) loss_seg: 0.0468 (0.0640) loss_lansim: 0.0925 (0.0914) loss_contra: 0.0000 (0.0045) time: 2.6101 data: 0.0026 max mem: 31671 Epoch: [21] [4360/5278] eta: 0:39:39 lr: 2.4581925198986394e-05 loss: 0.0483 (0.0595) loss_seg: 0.0521 (0.0640) loss_lansim: 0.0925 (0.0914) loss_contra: 0.0000 (0.0045) time: 2.6117 data: 0.0026 max mem: 31671 Epoch: [21] [4370/5278] eta: 0:39:13 lr: 2.4579618733456827e-05 loss: 0.0448 (0.0595) loss_seg: 0.0481 (0.0639) loss_lansim: 0.0925 (0.0914) loss_contra: 0.0000 (0.0045) time: 2.6173 data: 0.0026 max mem: 31671 Epoch: [21] [4380/5278] eta: 0:38:48 lr: 2.457731224387915e-05 loss: 0.0472 (0.0595) loss_seg: 0.0491 (0.0639) loss_lansim: 0.0919 (0.0914) loss_contra: 0.0000 (0.0045) time: 2.6192 data: 0.0026 max mem: 31671 Epoch: [21] [4390/5278] eta: 0:38:22 lr: 2.4575005730250622e-05 loss: 0.0499 (0.0595) loss_seg: 0.0524 (0.0639) loss_lansim: 0.0921 (0.0914) loss_contra: 0.0000 (0.0045) time: 2.6119 data: 0.0026 max mem: 31671 Epoch: [21] [4400/5278] eta: 0:37:56 lr: 2.4572699192568468e-05 loss: 0.0472 (0.0594) loss_seg: 0.0497 (0.0639) loss_lansim: 0.0910 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6131 data: 0.0026 max mem: 31671 Epoch: [21] [4410/5278] eta: 0:37:30 lr: 2.457039263082994e-05 loss: 0.0476 (0.0594) loss_seg: 0.0497 (0.0638) loss_lansim: 0.0909 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6251 data: 0.0026 max mem: 31671 Epoch: [21] [4420/5278] eta: 0:37:04 lr: 2.456808604503227e-05 loss: 0.0500 (0.0594) loss_seg: 0.0542 (0.0638) loss_lansim: 0.0907 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6209 data: 0.0026 max mem: 31671 Epoch: [21] [4430/5278] eta: 0:36:38 lr: 2.4565779435172698e-05 loss: 0.0501 (0.0594) loss_seg: 0.0550 (0.0638) loss_lansim: 0.0906 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6149 data: 0.0026 max mem: 31671 Epoch: [21] [4440/5278] eta: 0:36:12 lr: 2.4563472801248465e-05 loss: 0.0509 (0.0594) loss_seg: 0.0558 (0.0638) loss_lansim: 0.0899 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6098 data: 0.0026 max mem: 31671 Epoch: [21] [4450/5278] eta: 0:35:46 lr: 2.456116614325681e-05 loss: 0.0499 (0.0594) loss_seg: 0.0546 (0.0638) loss_lansim: 0.0899 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.5985 data: 0.0026 max mem: 31671 Epoch: [21] [4460/5278] eta: 0:35:20 lr: 2.4558859461194966e-05 loss: 0.0499 (0.0594) loss_seg: 0.0542 (0.0638) loss_lansim: 0.0897 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6065 data: 0.0026 max mem: 31671 Epoch: [21] [4470/5278] eta: 0:34:55 lr: 2.4556552755060175e-05 loss: 0.0508 (0.0594) loss_seg: 0.0550 (0.0639) loss_lansim: 0.0895 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6094 data: 0.0026 max mem: 31671 Epoch: [21] [4480/5278] eta: 0:34:29 lr: 2.455424602484967e-05 loss: 0.0499 (0.0594) loss_seg: 0.0550 (0.0638) loss_lansim: 0.0897 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6098 data: 0.0026 max mem: 31671 Epoch: [21] [4490/5278] eta: 0:34:03 lr: 2.4551939270560685e-05 loss: 0.0499 (0.0594) loss_seg: 0.0538 (0.0638) loss_lansim: 0.0895 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6143 data: 0.0026 max mem: 31671 Epoch: [21] [4500/5278] eta: 0:33:37 lr: 2.454963249219046e-05 loss: 0.0509 (0.0594) loss_seg: 0.0542 (0.0638) loss_lansim: 0.0882 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6162 data: 0.0026 max mem: 31671 Epoch: [21] [4510/5278] eta: 0:33:11 lr: 2.454732568973622e-05 loss: 0.0509 (0.0594) loss_seg: 0.0543 (0.0638) loss_lansim: 0.0882 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6104 data: 0.0026 max mem: 31671 Epoch: [21] [4520/5278] eta: 0:32:45 lr: 2.4545018863195212e-05 loss: 0.0504 (0.0594) loss_seg: 0.0538 (0.0638) loss_lansim: 0.0880 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.6013 data: 0.0026 max mem: 31671 Epoch: [21] [4530/5278] eta: 0:32:19 lr: 2.4542712012564664e-05 loss: 0.0512 (0.0594) loss_seg: 0.0546 (0.0638) loss_lansim: 0.0880 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.6022 data: 0.0026 max mem: 31671 Epoch: [21] [4540/5278] eta: 0:31:53 lr: 2.4540405137841805e-05 loss: 0.0504 (0.0594) loss_seg: 0.0537 (0.0638) loss_lansim: 0.0887 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.6021 data: 0.0026 max mem: 31671 Epoch: [21] [4550/5278] eta: 0:31:27 lr: 2.4538098239023864e-05 loss: 0.0521 (0.0594) loss_seg: 0.0557 (0.0638) loss_lansim: 0.0896 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.6019 data: 0.0026 max mem: 31671 Epoch: [21] [4560/5278] eta: 0:31:01 lr: 2.453579131610808e-05 loss: 0.0521 (0.0593) loss_seg: 0.0557 (0.0637) loss_lansim: 0.0895 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.6006 data: 0.0027 max mem: 31671 Epoch: [21] [4570/5278] eta: 0:30:35 lr: 2.4533484369091687e-05 loss: 0.0519 (0.0593) loss_seg: 0.0543 (0.0637) loss_lansim: 0.0904 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.5920 data: 0.0027 max mem: 31671 Epoch: [21] [4580/5278] eta: 0:30:09 lr: 2.45311773979719e-05 loss: 0.0519 (0.0593) loss_seg: 0.0543 (0.0637) loss_lansim: 0.0885 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.5992 data: 0.0027 max mem: 31671 Epoch: [21] [4590/5278] eta: 0:29:44 lr: 2.452887040274596e-05 loss: 0.0504 (0.0593) loss_seg: 0.0543 (0.0637) loss_lansim: 0.0894 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.6060 data: 0.0027 max mem: 31671 Epoch: [21] [4600/5278] eta: 0:29:18 lr: 2.4526563383411095e-05 loss: 0.0504 (0.0592) loss_seg: 0.0543 (0.0636) loss_lansim: 0.0895 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.5967 data: 0.0027 max mem: 31671 Epoch: [21] [4610/5278] eta: 0:28:52 lr: 2.452425633996454e-05 loss: 0.0519 (0.0592) loss_seg: 0.0546 (0.0636) loss_lansim: 0.0895 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.5896 data: 0.0027 max mem: 31671 Epoch: [21] [4620/5278] eta: 0:28:26 lr: 2.4521949272403503e-05 loss: 0.0481 (0.0592) loss_seg: 0.0493 (0.0636) loss_lansim: 0.0895 (0.0914) loss_contra: 0.0001 (0.0046) time: 2.5991 data: 0.0027 max mem: 31671 Epoch: [21] [4630/5278] eta: 0:28:00 lr: 2.4519642180725226e-05 loss: 0.0433 (0.0592) loss_seg: 0.0473 (0.0636) loss_lansim: 0.0911 (0.0914) loss_contra: 0.0000 (0.0046) time: 2.5963 data: 0.0027 max mem: 31671 Epoch: [21] [4640/5278] eta: 0:27:34 lr: 2.451733506492693e-05 loss: 0.0446 (0.0592) loss_seg: 0.0489 (0.0636) loss_lansim: 0.0917 (0.0914) loss_contra: 0.0000 (0.0046) time: 2.5921 data: 0.0027 max mem: 31671 Epoch: [21] [4650/5278] eta: 0:27:08 lr: 2.4515027925005842e-05 loss: 0.0480 (0.0593) loss_seg: 0.0492 (0.0637) loss_lansim: 0.0894 (0.0914) loss_contra: 0.0000 (0.0046) time: 2.5931 data: 0.0026 max mem: 31671 Epoch: [21] [4660/5278] eta: 0:26:42 lr: 2.4512720760959195e-05 loss: 0.0467 (0.0592) loss_seg: 0.0492 (0.0637) loss_lansim: 0.0892 (0.0914) loss_contra: 0.0000 (0.0046) time: 2.5891 data: 0.0026 max mem: 31671 Epoch: [21] [4670/5278] eta: 0:26:16 lr: 2.45104135727842e-05 loss: 0.0450 (0.0592) loss_seg: 0.0491 (0.0636) loss_lansim: 0.0892 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.5893 data: 0.0026 max mem: 31671 Epoch: [21] [4680/5278] eta: 0:25:50 lr: 2.4508106360478093e-05 loss: 0.0450 (0.0592) loss_seg: 0.0491 (0.0636) loss_lansim: 0.0893 (0.0914) loss_contra: 0.0000 (0.0045) time: 2.5774 data: 0.0026 max mem: 31671 Epoch: [21] [4690/5278] eta: 0:25:24 lr: 2.4505799124038088e-05 loss: 0.0492 (0.0592) loss_seg: 0.0515 (0.0636) loss_lansim: 0.0891 (0.0914) loss_contra: 0.0000 (0.0045) time: 2.5716 data: 0.0026 max mem: 31671 Epoch: [21] [4700/5278] eta: 0:24:58 lr: 2.4503491863461418e-05 loss: 0.0484 (0.0592) loss_seg: 0.0520 (0.0636) loss_lansim: 0.0882 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.5784 data: 0.0026 max mem: 31671 Epoch: [21] [4710/5278] eta: 0:24:32 lr: 2.450118457874529e-05 loss: 0.0467 (0.0592) loss_seg: 0.0499 (0.0636) loss_lansim: 0.0871 (0.0914) loss_contra: 0.0001 (0.0045) time: 2.5856 data: 0.0026 max mem: 31671 Epoch: [21] [4720/5278] eta: 0:24:06 lr: 2.449887726988694e-05 loss: 0.0493 (0.0592) loss_seg: 0.0520 (0.0636) loss_lansim: 0.0870 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.5878 data: 0.0026 max mem: 31671 Epoch: [21] [4730/5278] eta: 0:23:40 lr: 2.4496569936883584e-05 loss: 0.0500 (0.0592) loss_seg: 0.0532 (0.0636) loss_lansim: 0.0864 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.5859 data: 0.0026 max mem: 31671 Epoch: [21] [4740/5278] eta: 0:23:14 lr: 2.4494262579732446e-05 loss: 0.0489 (0.0592) loss_seg: 0.0515 (0.0636) loss_lansim: 0.0856 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.5906 data: 0.0025 max mem: 31671 Epoch: [21] [4750/5278] eta: 0:22:49 lr: 2.4491955198430738e-05 loss: 0.0472 (0.0591) loss_seg: 0.0496 (0.0635) loss_lansim: 0.0857 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.5932 data: 0.0025 max mem: 31671 Epoch: [21] [4760/5278] eta: 0:22:23 lr: 2.4489647792975683e-05 loss: 0.0489 (0.0591) loss_seg: 0.0508 (0.0635) loss_lansim: 0.0853 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.5889 data: 0.0025 max mem: 31671 Epoch: [21] [4770/5278] eta: 0:21:56 lr: 2.4487340363364498e-05 loss: 0.0493 (0.0591) loss_seg: 0.0539 (0.0635) loss_lansim: 0.0854 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.5741 data: 0.0025 max mem: 31671 Epoch: [21] [4780/5278] eta: 0:21:30 lr: 2.448503290959441e-05 loss: 0.0493 (0.0592) loss_seg: 0.0539 (0.0635) loss_lansim: 0.0855 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.5708 data: 0.0025 max mem: 31671 Epoch: [21] [4790/5278] eta: 0:21:05 lr: 2.4482725431662617e-05 loss: 0.0479 (0.0591) loss_seg: 0.0508 (0.0635) loss_lansim: 0.0857 (0.0913) loss_contra: 0.0001 (0.0045) time: 2.5817 data: 0.0025 max mem: 31671 Epoch: [21] [4800/5278] eta: 0:20:39 lr: 2.4480417929566354e-05 loss: 0.0476 (0.0591) loss_seg: 0.0501 (0.0635) loss_lansim: 0.0870 (0.0913) loss_contra: 0.0000 (0.0045) time: 2.5806 data: 0.0025 max mem: 31671 Epoch: [21] [4810/5278] eta: 0:20:13 lr: 2.4478110403302828e-05 loss: 0.0472 (0.0591) loss_seg: 0.0496 (0.0635) loss_lansim: 0.0873 (0.0913) loss_contra: 0.0000 (0.0045) time: 2.5726 data: 0.0025 max mem: 31671 Epoch: [21] [4820/5278] eta: 0:19:47 lr: 2.4475802852869264e-05 loss: 0.0472 (0.0591) loss_seg: 0.0497 (0.0635) loss_lansim: 0.0875 (0.0913) loss_contra: 0.0000 (0.0044) time: 2.5679 data: 0.0025 max mem: 31671 Epoch: [21] [4830/5278] eta: 0:19:21 lr: 2.4473495278262864e-05 loss: 0.0479 (0.0591) loss_seg: 0.0518 (0.0635) loss_lansim: 0.0875 (0.0913) loss_contra: 0.0001 (0.0044) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [21] [4840/5278] eta: 0:18:55 lr: 2.447118767948085e-05 loss: 0.0479 (0.0591) loss_seg: 0.0518 (0.0635) loss_lansim: 0.0893 (0.0913) loss_contra: 0.0001 (0.0044) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [21] [4850/5278] eta: 0:18:29 lr: 2.4468880056520432e-05 loss: 0.0479 (0.0591) loss_seg: 0.0522 (0.0635) loss_lansim: 0.0897 (0.0913) loss_contra: 0.0000 (0.0044) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [21] [4860/5278] eta: 0:18:03 lr: 2.4466572409378827e-05 loss: 0.0476 (0.0591) loss_seg: 0.0518 (0.0635) loss_lansim: 0.0899 (0.0913) loss_contra: 0.0000 (0.0044) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [21] [4870/5278] eta: 0:17:37 lr: 2.4464264738053248e-05 loss: 0.0462 (0.0591) loss_seg: 0.0501 (0.0635) loss_lansim: 0.0888 (0.0913) loss_contra: 0.0000 (0.0044) time: 2.5763 data: 0.0026 max mem: 31671 Epoch: [21] [4880/5278] eta: 0:17:11 lr: 2.44619570425409e-05 loss: 0.0462 (0.0591) loss_seg: 0.0504 (0.0635) loss_lansim: 0.0897 (0.0913) loss_contra: 0.0000 (0.0044) time: 2.5833 data: 0.0026 max mem: 31671 Epoch: [21] [4890/5278] eta: 0:16:45 lr: 2.4459649322838998e-05 loss: 0.0491 (0.0591) loss_seg: 0.0518 (0.0635) loss_lansim: 0.0899 (0.0913) loss_contra: 0.0001 (0.0044) time: 2.5644 data: 0.0026 max mem: 31671 Epoch: [21] [4900/5278] eta: 0:16:19 lr: 2.4457341578944752e-05 loss: 0.0485 (0.0591) loss_seg: 0.0518 (0.0635) loss_lansim: 0.0888 (0.0913) loss_contra: 0.0001 (0.0044) time: 2.5642 data: 0.0026 max mem: 31671 Epoch: [21] [4910/5278] eta: 0:15:53 lr: 2.445503381085538e-05 loss: 0.0493 (0.0591) loss_seg: 0.0536 (0.0635) loss_lansim: 0.0888 (0.0913) loss_contra: 0.0001 (0.0044) time: 2.5688 data: 0.0026 max mem: 31671 Epoch: [21] [4920/5278] eta: 0:15:27 lr: 2.445272601856808e-05 loss: 0.0498 (0.0591) loss_seg: 0.0543 (0.0635) loss_lansim: 0.0895 (0.0913) loss_contra: 0.0001 (0.0044) time: 2.5741 data: 0.0026 max mem: 31671 Epoch: [21] [4930/5278] eta: 0:15:01 lr: 2.445041820208006e-05 loss: 0.0491 (0.0591) loss_seg: 0.0518 (0.0635) loss_lansim: 0.0883 (0.0912) loss_contra: 0.0001 (0.0044) time: 2.5735 data: 0.0026 max mem: 31671 Epoch: [21] [4940/5278] eta: 0:14:36 lr: 2.4448110361388536e-05 loss: 0.0493 (0.0591) loss_seg: 0.0543 (0.0635) loss_lansim: 0.0856 (0.0912) loss_contra: 0.0000 (0.0044) time: 2.5744 data: 0.0026 max mem: 31671 Epoch: [21] [4950/5278] eta: 0:14:10 lr: 2.4445802496490718e-05 loss: 0.0495 (0.0591) loss_seg: 0.0544 (0.0635) loss_lansim: 0.0852 (0.0912) loss_contra: 0.0000 (0.0043) time: 2.5802 data: 0.0026 max mem: 31671 Epoch: [21] [4960/5278] eta: 0:13:44 lr: 2.44434946073838e-05 loss: 0.0498 (0.0591) loss_seg: 0.0544 (0.0635) loss_lansim: 0.0851 (0.0912) loss_contra: 0.0000 (0.0043) time: 2.5930 data: 0.0026 max mem: 31671 Epoch: [21] [4970/5278] eta: 0:13:18 lr: 2.4441186694064998e-05 loss: 0.0512 (0.0592) loss_seg: 0.0544 (0.0636) loss_lansim: 0.0857 (0.0912) loss_contra: 0.0000 (0.0043) time: 2.5763 data: 0.0026 max mem: 31671 Epoch: [21] [4980/5278] eta: 0:12:52 lr: 2.4438878756531516e-05 loss: 0.0498 (0.0592) loss_seg: 0.0543 (0.0636) loss_lansim: 0.0856 (0.0912) loss_contra: 0.0000 (0.0043) time: 2.5812 data: 0.0026 max mem: 31671 Epoch: [21] [4990/5278] eta: 0:12:26 lr: 2.4436570794780563e-05 loss: 0.0498 (0.0592) loss_seg: 0.0544 (0.0636) loss_lansim: 0.0848 (0.0912) loss_contra: 0.0000 (0.0043) time: 2.5877 data: 0.0026 max mem: 31671 Epoch: [21] [5000/5278] eta: 0:12:00 lr: 2.4434262808809332e-05 loss: 0.0538 (0.0592) loss_seg: 0.0547 (0.0636) loss_lansim: 0.0851 (0.0912) loss_contra: 0.0000 (0.0043) time: 2.5877 data: 0.0026 max mem: 31671 Epoch: [21] [5010/5278] eta: 0:11:34 lr: 2.4431954798615036e-05 loss: 0.0522 (0.0592) loss_seg: 0.0566 (0.0636) loss_lansim: 0.0851 (0.0912) loss_contra: 0.0000 (0.0043) time: 2.5829 data: 0.0026 max mem: 31671 Epoch: [21] [5020/5278] eta: 0:11:08 lr: 2.4429646764194873e-05 loss: 0.0547 (0.0593) loss_seg: 0.0601 (0.0636) loss_lansim: 0.0837 (0.0911) loss_contra: 0.0000 (0.0043) time: 2.5841 data: 0.0026 max mem: 31671 Epoch: [21] [5030/5278] eta: 0:10:42 lr: 2.4427338705546054e-05 loss: 0.0546 (0.0592) loss_seg: 0.0576 (0.0636) loss_lansim: 0.0848 (0.0912) loss_contra: 0.0000 (0.0043) time: 2.5827 data: 0.0026 max mem: 31671 Epoch: [21] [5040/5278] eta: 0:10:16 lr: 2.4425030622665774e-05 loss: 0.0522 (0.0593) loss_seg: 0.0573 (0.0636) loss_lansim: 0.0870 (0.0911) loss_contra: 0.0000 (0.0043) time: 2.5872 data: 0.0026 max mem: 31671 Epoch: [21] [5050/5278] eta: 0:09:50 lr: 2.442272251555123e-05 loss: 0.0546 (0.0594) loss_seg: 0.0576 (0.0638) loss_lansim: 0.0870 (0.0911) loss_contra: 0.0001 (0.0043) time: 2.5818 data: 0.0026 max mem: 31671 Epoch: [21] [5060/5278] eta: 0:09:24 lr: 2.4420414384199633e-05 loss: 0.0546 (0.0594) loss_seg: 0.0576 (0.0638) loss_lansim: 0.0871 (0.0911) loss_contra: 0.0001 (0.0043) time: 2.5795 data: 0.0025 max mem: 31671 Epoch: [21] [5070/5278] eta: 0:08:59 lr: 2.441810622860818e-05 loss: 0.0546 (0.0595) loss_seg: 0.0576 (0.0639) loss_lansim: 0.0871 (0.0911) loss_contra: 0.0001 (0.0043) time: 2.5865 data: 0.0026 max mem: 31671 Epoch: [21] [5080/5278] eta: 0:08:33 lr: 2.4415798048774067e-05 loss: 0.0588 (0.0595) loss_seg: 0.0641 (0.0639) loss_lansim: 0.0868 (0.0911) loss_contra: 0.0001 (0.0043) time: 2.5796 data: 0.0025 max mem: 31671 Epoch: [21] [5090/5278] eta: 0:08:07 lr: 2.4413489844694492e-05 loss: 0.0602 (0.0595) loss_seg: 0.0651 (0.0639) loss_lansim: 0.0871 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5864 data: 0.0026 max mem: 31671 Epoch: [21] [5100/5278] eta: 0:07:41 lr: 2.4411181616366657e-05 loss: 0.0602 (0.0595) loss_seg: 0.0651 (0.0639) loss_lansim: 0.0871 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5797 data: 0.0026 max mem: 31671 Epoch: [21] [5110/5278] eta: 0:07:15 lr: 2.440887336378776e-05 loss: 0.0618 (0.0595) loss_seg: 0.0663 (0.0639) loss_lansim: 0.0871 (0.0911) loss_contra: 0.0002 (0.0044) time: 2.5854 data: 0.0026 max mem: 31671 Epoch: [21] [5120/5278] eta: 0:06:49 lr: 2.4406565086955e-05 loss: 0.0533 (0.0595) loss_seg: 0.0590 (0.0639) loss_lansim: 0.0887 (0.0911) loss_contra: 0.0002 (0.0044) time: 2.5749 data: 0.0026 max mem: 31671 Epoch: [21] [5130/5278] eta: 0:06:23 lr: 2.4404256785865563e-05 loss: 0.0578 (0.0595) loss_seg: 0.0640 (0.0639) loss_lansim: 0.0887 (0.0911) loss_contra: 0.0002 (0.0044) time: 2.5781 data: 0.0026 max mem: 31671 Epoch: [21] [5140/5278] eta: 0:05:57 lr: 2.4401948460516657e-05 loss: 0.0602 (0.0595) loss_seg: 0.0666 (0.0639) loss_lansim: 0.0891 (0.0911) loss_contra: 0.0002 (0.0044) time: 2.5791 data: 0.0026 max mem: 31671 Epoch: [21] [5150/5278] eta: 0:05:31 lr: 2.4399640110905468e-05 loss: 0.0594 (0.0595) loss_seg: 0.0652 (0.0639) loss_lansim: 0.0888 (0.0911) loss_contra: 0.0002 (0.0044) time: 2.5845 data: 0.0026 max mem: 31671 Epoch: [21] [5160/5278] eta: 0:05:05 lr: 2.43973317370292e-05 loss: 0.0578 (0.0595) loss_seg: 0.0640 (0.0639) loss_lansim: 0.0878 (0.0911) loss_contra: 0.0002 (0.0044) time: 2.5739 data: 0.0027 max mem: 31671 Epoch: [21] [5170/5278] eta: 0:04:39 lr: 2.439502333888504e-05 loss: 0.0565 (0.0595) loss_seg: 0.0622 (0.0639) loss_lansim: 0.0876 (0.0911) loss_contra: 0.0002 (0.0044) time: 2.5779 data: 0.0026 max mem: 31671 Epoch: [21] [5180/5278] eta: 0:04:13 lr: 2.439271491647018e-05 loss: 0.0541 (0.0595) loss_seg: 0.0564 (0.0639) loss_lansim: 0.0878 (0.0911) loss_contra: 0.0001 (0.0044) time: 2.5777 data: 0.0026 max mem: 31671 Epoch: [21] [5190/5278] eta: 0:03:48 lr: 2.4390406469781816e-05 loss: 0.0511 (0.0594) loss_seg: 0.0551 (0.0638) loss_lansim: 0.0868 (0.0910) loss_contra: 0.0001 (0.0044) time: 2.5771 data: 0.0026 max mem: 31671 Epoch: [21] [5200/5278] eta: 0:03:22 lr: 2.4388097998817145e-05 loss: 0.0511 (0.0594) loss_seg: 0.0551 (0.0638) loss_lansim: 0.0848 (0.0910) loss_contra: 0.0001 (0.0044) time: 2.5812 data: 0.0026 max mem: 31671 Epoch: [21] [5210/5278] eta: 0:02:56 lr: 2.4385789503573348e-05 loss: 0.0504 (0.0594) loss_seg: 0.0533 (0.0638) loss_lansim: 0.0866 (0.0910) loss_contra: 0.0001 (0.0044) time: 2.5793 data: 0.0026 max mem: 31671 Epoch: [21] [5220/5278] eta: 0:02:30 lr: 2.4383480984047618e-05 loss: 0.0504 (0.0594) loss_seg: 0.0530 (0.0638) loss_lansim: 0.0846 (0.0911) loss_contra: 0.0001 (0.0045) time: 2.5881 data: 0.0026 max mem: 31671 Epoch: [21] [5230/5278] eta: 0:02:04 lr: 2.4381172440237148e-05 loss: 0.0490 (0.0594) loss_seg: 0.0520 (0.0638) loss_lansim: 0.0844 (0.0910) loss_contra: 0.0001 (0.0045) time: 2.5875 data: 0.0026 max mem: 31671 Epoch: [21] [5240/5278] eta: 0:01:38 lr: 2.4378863872139136e-05 loss: 0.0473 (0.0594) loss_seg: 0.0508 (0.0638) loss_lansim: 0.0834 (0.0910) loss_contra: 0.0001 (0.0045) time: 2.5939 data: 0.0025 max mem: 31671 Epoch: [21] [5250/5278] eta: 0:01:12 lr: 2.4376555279750757e-05 loss: 0.0471 (0.0593) loss_seg: 0.0498 (0.0637) loss_lansim: 0.0832 (0.0910) loss_contra: 0.0001 (0.0046) time: 2.5961 data: 0.0025 max mem: 31671 Epoch: [21] [5260/5278] eta: 0:00:46 lr: 2.4374246663069202e-05 loss: 0.0456 (0.0593) loss_seg: 0.0495 (0.0637) loss_lansim: 0.0832 (0.0910) loss_contra: 0.0001 (0.0046) time: 2.6088 data: 0.0026 max mem: 31671 Epoch: [21] [5270/5278] eta: 0:00:20 lr: 2.4371938022091663e-05 loss: 0.0471 (0.0593) loss_seg: 0.0495 (0.0637) loss_lansim: 0.0838 (0.0910) loss_contra: 0.0001 (0.0046) time: 2.5991 data: 0.0026 max mem: 31671 Epoch: [21] Total time: 3:47:58 Test: [ 0/2573] eta: 1:31:44 time: 2.1394 data: 1.8498 max mem: 31671 Test: [ 100/2573] eta: 0:06:42 time: 0.1431 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:07 time: 0.1472 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:43 time: 0.1427 data: 0.0017 max mem: 31671 Test: [ 400/2573] eta: 0:05:25 time: 0.1464 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:09 time: 0.1477 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:54 time: 0.1490 data: 0.0016 max mem: 31671 Test: [ 700/2573] eta: 0:04:40 time: 0.1522 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:25 time: 0.1486 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:10 time: 0.1498 data: 0.0017 max mem: 31671 Test: [1000/2573] eta: 0:03:55 time: 0.1483 data: 0.0017 max mem: 31671 Test: [1100/2573] eta: 0:03:39 time: 0.1470 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:24 time: 0.1485 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:09 time: 0.1453 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:54 time: 0.1423 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:39 time: 0.1466 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:24 time: 0.1460 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:09 time: 0.1480 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1428 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1434 data: 0.0017 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1434 data: 0.0018 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1458 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1425 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1484 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1463 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1487 data: 0.0016 max mem: 31671 Test: Total time: 0:06:19 Final results: precision@0.5 = 68.20 precision@0.6 = 63.09 precision@0.7 = 55.49 precision@0.8 = 44.22 precision@0.9 = 20.49 overall IoU = 58.56 mean IoU = 60.37 Average object IoU 0.603740651357369 Overall IoU 58.5560845861543 Better epoch: 21 The best_performance is 58.5560845861543 Epoch: [22] [ 0/5278] eta: 5:53:51 lr: 2.4370091091814635e-05 loss: 0.0920 (0.0920) loss_seg: 0.1023 (0.1023) loss_lansim: 0.0751 (0.0751) loss_contra: 0.0000 (0.0000) time: 4.0227 data: 1.3728 max mem: 31671 Epoch: [22] [ 10/5278] eta: 4:01:02 lr: 2.4367782407097233e-05 loss: 0.0583 (0.0652) loss_seg: 0.0644 (0.0710) loss_lansim: 0.0809 (0.0825) loss_contra: 0.0001 (0.0058) time: 2.7453 data: 0.1263 max mem: 31671 Epoch: [22] [ 20/5278] eta: 3:55:10 lr: 2.4365473698075975e-05 loss: 0.0535 (0.0598) loss_seg: 0.0551 (0.0645) loss_lansim: 0.0838 (0.0848) loss_contra: 0.0001 (0.0035) time: 2.6837 data: 0.0673 max mem: 31671 Epoch: [22] [ 30/5278] eta: 3:52:53 lr: 2.4363164964748032e-05 loss: 0.0501 (0.0564) loss_seg: 0.0528 (0.0610) loss_lansim: 0.0838 (0.0845) loss_contra: 0.0001 (0.0025) time: 2.6625 data: 0.0464 max mem: 31671 Epoch: [22] [ 40/5278] eta: 3:51:08 lr: 2.4360856207110596e-05 loss: 0.0477 (0.0590) loss_seg: 0.0525 (0.0637) loss_lansim: 0.0838 (0.0851) loss_contra: 0.0000 (0.0075) time: 2.6477 data: 0.0358 max mem: 31671 Epoch: [22] [ 50/5278] eta: 3:51:15 lr: 2.4358547425160852e-05 loss: 0.0477 (0.0659) loss_seg: 0.0525 (0.0716) loss_lansim: 0.0844 (0.0855) loss_contra: 0.0000 (0.0065) time: 2.6541 data: 0.0293 max mem: 31671 Epoch: [22] [ 60/5278] eta: 3:50:37 lr: 2.4356238618895986e-05 loss: 0.0427 (0.0611) loss_seg: 0.0453 (0.0664) loss_lansim: 0.0847 (0.0858) loss_contra: 0.0000 (0.0066) time: 2.6519 data: 0.0249 max mem: 31671 Epoch: [22] [ 70/5278] eta: 3:49:30 lr: 2.4353929788313178e-05 loss: 0.0441 (0.0608) loss_seg: 0.0471 (0.0659) loss_lansim: 0.0844 (0.0857) loss_contra: 0.0001 (0.0062) time: 2.6441 data: 0.0217 max mem: 31671 Epoch: [22] [ 80/5278] eta: 3:48:40 lr: 2.4351620933409603e-05 loss: 0.0472 (0.0627) loss_seg: 0.0515 (0.0681) loss_lansim: 0.0847 (0.0858) loss_contra: 0.0001 (0.0056) time: 2.6395 data: 0.0194 max mem: 31671 Epoch: [22] [ 90/5278] eta: 3:48:07 lr: 2.434931205418245e-05 loss: 0.0486 (0.0638) loss_seg: 0.0525 (0.0691) loss_lansim: 0.0847 (0.0862) loss_contra: 0.0001 (0.0053) time: 2.6384 data: 0.0175 max mem: 31671 Epoch: [22] [ 100/5278] eta: 3:47:02 lr: 2.4347003150628906e-05 loss: 0.0486 (0.0637) loss_seg: 0.0525 (0.0689) loss_lansim: 0.0855 (0.0869) loss_contra: 0.0001 (0.0051) time: 2.6169 data: 0.0025 max mem: 31671 Epoch: [22] [ 110/5278] eta: 3:46:16 lr: 2.434469422274614e-05 loss: 0.0442 (0.0616) loss_seg: 0.0484 (0.0665) loss_lansim: 0.0863 (0.0875) loss_contra: 0.0001 (0.0046) time: 2.6140 data: 0.0026 max mem: 31671 Epoch: [22] [ 120/5278] eta: 3:45:13 lr: 2.4342385270531334e-05 loss: 0.0435 (0.0600) loss_seg: 0.0469 (0.0647) loss_lansim: 0.0884 (0.0878) loss_contra: 0.0001 (0.0050) time: 2.6066 data: 0.0026 max mem: 31671 Epoch: [22] [ 130/5278] eta: 3:44:33 lr: 2.4340076293981672e-05 loss: 0.0453 (0.0621) loss_seg: 0.0498 (0.0672) loss_lansim: 0.0893 (0.0882) loss_contra: 0.0001 (0.0049) time: 2.6031 data: 0.0026 max mem: 31671 Epoch: [22] [ 140/5278] eta: 3:43:54 lr: 2.4337767293094327e-05 loss: 0.0486 (0.0621) loss_seg: 0.0533 (0.0672) loss_lansim: 0.0893 (0.0880) loss_contra: 0.0001 (0.0046) time: 2.6013 data: 0.0026 max mem: 31671 Epoch: [22] [ 150/5278] eta: 3:42:51 lr: 2.4335458267866488e-05 loss: 0.0510 (0.0623) loss_seg: 0.0535 (0.0674) loss_lansim: 0.0888 (0.0880) loss_contra: 0.0001 (0.0043) time: 2.5836 data: 0.0026 max mem: 31671 Epoch: [22] [ 160/5278] eta: 3:42:35 lr: 2.433314921829532e-05 loss: 0.0566 (0.0621) loss_seg: 0.0571 (0.0672) loss_lansim: 0.0893 (0.0881) loss_contra: 0.0001 (0.0040) time: 2.5836 data: 0.0026 max mem: 31671 Epoch: [22] [ 170/5278] eta: 3:41:57 lr: 2.4330840144377996e-05 loss: 0.0558 (0.0612) loss_seg: 0.0571 (0.0661) loss_lansim: 0.0894 (0.0880) loss_contra: 0.0001 (0.0038) time: 2.5810 data: 0.0026 max mem: 31671 Epoch: [22] [ 180/5278] eta: 3:41:00 lr: 2.4328531046111705e-05 loss: 0.0570 (0.0620) loss_seg: 0.0574 (0.0670) loss_lansim: 0.0893 (0.0878) loss_contra: 0.0001 (0.0037) time: 2.5701 data: 0.0026 max mem: 31671 Epoch: [22] [ 190/5278] eta: 3:40:10 lr: 2.4326221923493624e-05 loss: 0.0570 (0.0619) loss_seg: 0.0564 (0.0668) loss_lansim: 0.0881 (0.0877) loss_contra: 0.0001 (0.0035) time: 2.5583 data: 0.0026 max mem: 31671 Epoch: [22] [ 200/5278] eta: 3:39:37 lr: 2.4323912776520912e-05 loss: 0.0532 (0.0612) loss_seg: 0.0558 (0.0661) loss_lansim: 0.0868 (0.0873) loss_contra: 0.0000 (0.0043) time: 2.5586 data: 0.0025 max mem: 31671 Epoch: [22] [ 210/5278] eta: 3:39:08 lr: 2.4321603605190756e-05 loss: 0.0580 (0.0624) loss_seg: 0.0606 (0.0675) loss_lansim: 0.0863 (0.0870) loss_contra: 0.0000 (0.0043) time: 2.5583 data: 0.0025 max mem: 31671 Epoch: [22] [ 220/5278] eta: 3:38:26 lr: 2.431929440950032e-05 loss: 0.0580 (0.0621) loss_seg: 0.0599 (0.0671) loss_lansim: 0.0852 (0.0870) loss_contra: 0.0000 (0.0041) time: 2.5564 data: 0.0025 max mem: 31671 Epoch: [22] [ 230/5278] eta: 3:37:52 lr: 2.431698518944679e-05 loss: 0.0556 (0.0616) loss_seg: 0.0590 (0.0666) loss_lansim: 0.0842 (0.0868) loss_contra: 0.0000 (0.0040) time: 2.5536 data: 0.0025 max mem: 31671 Epoch: [22] [ 240/5278] eta: 3:37:31 lr: 2.4314675945027325e-05 loss: 0.0556 (0.0618) loss_seg: 0.0599 (0.0668) loss_lansim: 0.0841 (0.0866) loss_contra: 0.0000 (0.0039) time: 2.5566 data: 0.0025 max mem: 31671 Epoch: [22] [ 250/5278] eta: 3:37:07 lr: 2.4312366676239102e-05 loss: 0.0534 (0.0614) loss_seg: 0.0573 (0.0664) loss_lansim: 0.0841 (0.0868) loss_contra: 0.0000 (0.0040) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [22] [ 260/5278] eta: 3:36:39 lr: 2.4310057383079292e-05 loss: 0.0525 (0.0608) loss_seg: 0.0543 (0.0657) loss_lansim: 0.0835 (0.0868) loss_contra: 0.0000 (0.0041) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [22] [ 270/5278] eta: 3:36:05 lr: 2.4307748065545072e-05 loss: 0.0543 (0.0611) loss_seg: 0.0566 (0.0660) loss_lansim: 0.0841 (0.0868) loss_contra: 0.0000 (0.0040) time: 2.5579 data: 0.0025 max mem: 31671 Epoch: [22] [ 280/5278] eta: 3:35:49 lr: 2.43054387236336e-05 loss: 0.0493 (0.0607) loss_seg: 0.0543 (0.0656) loss_lansim: 0.0835 (0.0866) loss_contra: 0.0000 (0.0043) time: 2.5723 data: 0.0025 max mem: 31671 Epoch: [22] [ 290/5278] eta: 3:35:25 lr: 2.430312935734205e-05 loss: 0.0486 (0.0605) loss_seg: 0.0537 (0.0654) loss_lansim: 0.0825 (0.0863) loss_contra: 0.0001 (0.0056) time: 2.5814 data: 0.0025 max mem: 31671 Epoch: [22] [ 300/5278] eta: 3:34:51 lr: 2.4300819966667587e-05 loss: 0.0493 (0.0604) loss_seg: 0.0543 (0.0652) loss_lansim: 0.0827 (0.0863) loss_contra: 0.0001 (0.0056) time: 2.5790 data: 0.0025 max mem: 31671 Epoch: [22] [ 310/5278] eta: 3:34:28 lr: 2.4298510551607393e-05 loss: 0.0481 (0.0600) loss_seg: 0.0531 (0.0647) loss_lansim: 0.0827 (0.0861) loss_contra: 0.0001 (0.0056) time: 2.5817 data: 0.0025 max mem: 31671 Epoch: [22] [ 320/5278] eta: 3:34:10 lr: 2.4296201112158616e-05 loss: 0.0488 (0.0600) loss_seg: 0.0538 (0.0647) loss_lansim: 0.0825 (0.0861) loss_contra: 0.0001 (0.0054) time: 2.5936 data: 0.0025 max mem: 31671 Epoch: [22] [ 330/5278] eta: 3:33:55 lr: 2.4293891648318435e-05 loss: 0.0467 (0.0598) loss_seg: 0.0514 (0.0644) loss_lansim: 0.0825 (0.0860) loss_contra: 0.0001 (0.0052) time: 2.6042 data: 0.0025 max mem: 31671 Epoch: [22] [ 340/5278] eta: 3:33:39 lr: 2.429158216008401e-05 loss: 0.0456 (0.0597) loss_seg: 0.0484 (0.0643) loss_lansim: 0.0819 (0.0858) loss_contra: 0.0001 (0.0051) time: 2.6089 data: 0.0025 max mem: 31671 Epoch: [22] [ 350/5278] eta: 3:33:12 lr: 2.428927264745251e-05 loss: 0.0466 (0.0594) loss_seg: 0.0507 (0.0639) loss_lansim: 0.0844 (0.0860) loss_contra: 0.0001 (0.0050) time: 2.6077 data: 0.0025 max mem: 31671 Epoch: [22] [ 360/5278] eta: 3:32:42 lr: 2.4286963110421097e-05 loss: 0.0488 (0.0594) loss_seg: 0.0514 (0.0639) loss_lansim: 0.0848 (0.0862) loss_contra: 0.0001 (0.0049) time: 2.6066 data: 0.0025 max mem: 31671 Epoch: [22] [ 370/5278] eta: 3:32:15 lr: 2.428465354898694e-05 loss: 0.0496 (0.0598) loss_seg: 0.0538 (0.0643) loss_lansim: 0.0852 (0.0869) loss_contra: 0.0001 (0.0048) time: 2.6103 data: 0.0025 max mem: 31671 Epoch: [22] [ 380/5278] eta: 3:31:42 lr: 2.4282343963147196e-05 loss: 0.0529 (0.0602) loss_seg: 0.0571 (0.0648) loss_lansim: 0.0883 (0.0873) loss_contra: 0.0001 (0.0049) time: 2.6006 data: 0.0025 max mem: 31671 Epoch: [22] [ 390/5278] eta: 3:31:16 lr: 2.428003435289903e-05 loss: 0.0538 (0.0601) loss_seg: 0.0571 (0.0646) loss_lansim: 0.0908 (0.0878) loss_contra: 0.0001 (0.0049) time: 2.5995 data: 0.0025 max mem: 31671 Epoch: [22] [ 400/5278] eta: 3:30:51 lr: 2.4277724718239608e-05 loss: 0.0522 (0.0602) loss_seg: 0.0571 (0.0647) loss_lansim: 0.0914 (0.0882) loss_contra: 0.0001 (0.0048) time: 2.6051 data: 0.0025 max mem: 31671 Epoch: [22] [ 410/5278] eta: 3:30:38 lr: 2.4275415059166084e-05 loss: 0.0529 (0.0600) loss_seg: 0.0571 (0.0645) loss_lansim: 0.0932 (0.0883) loss_contra: 0.0001 (0.0047) time: 2.6145 data: 0.0025 max mem: 31671 Epoch: [22] [ 420/5278] eta: 3:30:10 lr: 2.4273105375675626e-05 loss: 0.0514 (0.0598) loss_seg: 0.0546 (0.0643) loss_lansim: 0.0935 (0.0884) loss_contra: 0.0000 (0.0046) time: 2.6085 data: 0.0025 max mem: 31671 Epoch: [22] [ 430/5278] eta: 3:29:40 lr: 2.4270795667765388e-05 loss: 0.0522 (0.0602) loss_seg: 0.0565 (0.0646) loss_lansim: 0.0942 (0.0884) loss_contra: 0.0000 (0.0045) time: 2.5983 data: 0.0026 max mem: 31671 Epoch: [22] [ 440/5278] eta: 3:29:17 lr: 2.426848593543254e-05 loss: 0.0549 (0.0604) loss_seg: 0.0571 (0.0649) loss_lansim: 0.0962 (0.0886) loss_contra: 0.0000 (0.0045) time: 2.5944 data: 0.0026 max mem: 31671 Epoch: [22] [ 450/5278] eta: 3:28:56 lr: 2.4266176178674234e-05 loss: 0.0567 (0.0604) loss_seg: 0.0576 (0.0649) loss_lansim: 0.0958 (0.0887) loss_contra: 0.0000 (0.0044) time: 2.5990 data: 0.0026 max mem: 31671 Epoch: [22] [ 460/5278] eta: 3:28:20 lr: 2.4263866397487622e-05 loss: 0.0553 (0.0602) loss_seg: 0.0571 (0.0647) loss_lansim: 0.0955 (0.0886) loss_contra: 0.0000 (0.0043) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [22] [ 470/5278] eta: 3:27:46 lr: 2.426155659186987e-05 loss: 0.0504 (0.0598) loss_seg: 0.0549 (0.0643) loss_lansim: 0.0926 (0.0886) loss_contra: 0.0000 (0.0044) time: 2.5854 data: 0.0026 max mem: 31671 Epoch: [22] [ 480/5278] eta: 3:27:18 lr: 2.4259246761818145e-05 loss: 0.0502 (0.0598) loss_seg: 0.0546 (0.0643) loss_lansim: 0.0926 (0.0888) loss_contra: 0.0000 (0.0044) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [22] [ 490/5278] eta: 3:26:56 lr: 2.425693690732958e-05 loss: 0.0498 (0.0596) loss_seg: 0.0538 (0.0641) loss_lansim: 0.0921 (0.0888) loss_contra: 0.0000 (0.0043) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [22] [ 500/5278] eta: 3:26:31 lr: 2.4254627028401344e-05 loss: 0.0498 (0.0604) loss_seg: 0.0546 (0.0648) loss_lansim: 0.0902 (0.0889) loss_contra: 0.0000 (0.0043) time: 2.5933 data: 0.0026 max mem: 31671 Epoch: [22] [ 510/5278] eta: 3:26:01 lr: 2.4252317125030592e-05 loss: 0.0504 (0.0606) loss_seg: 0.0554 (0.0650) loss_lansim: 0.0899 (0.0889) loss_contra: 0.0000 (0.0042) time: 2.5775 data: 0.0026 max mem: 31671 Epoch: [22] [ 520/5278] eta: 3:25:29 lr: 2.4250007197214487e-05 loss: 0.0556 (0.0610) loss_seg: 0.0595 (0.0654) loss_lansim: 0.0891 (0.0889) loss_contra: 0.0000 (0.0041) time: 2.5727 data: 0.0026 max mem: 31671 Epoch: [22] [ 530/5278] eta: 3:25:01 lr: 2.424769724495016e-05 loss: 0.0553 (0.0610) loss_seg: 0.0554 (0.0655) loss_lansim: 0.0877 (0.0888) loss_contra: 0.0000 (0.0041) time: 2.5728 data: 0.0026 max mem: 31671 Epoch: [22] [ 540/5278] eta: 3:24:31 lr: 2.4245387268234786e-05 loss: 0.0556 (0.0615) loss_seg: 0.0595 (0.0660) loss_lansim: 0.0869 (0.0888) loss_contra: 0.0000 (0.0041) time: 2.5650 data: 0.0026 max mem: 31671 Epoch: [22] [ 550/5278] eta: 3:24:02 lr: 2.424307726706551e-05 loss: 0.0504 (0.0612) loss_seg: 0.0551 (0.0657) loss_lansim: 0.0860 (0.0887) loss_contra: 0.0000 (0.0040) time: 2.5570 data: 0.0026 max mem: 31671 Epoch: [22] [ 560/5278] eta: 3:23:36 lr: 2.4240767241439484e-05 loss: 0.0504 (0.0611) loss_seg: 0.0547 (0.0656) loss_lansim: 0.0861 (0.0887) loss_contra: 0.0001 (0.0039) time: 2.5651 data: 0.0026 max mem: 31671 Epoch: [22] [ 570/5278] eta: 3:23:08 lr: 2.4238457191353858e-05 loss: 0.0531 (0.0611) loss_seg: 0.0577 (0.0655) loss_lansim: 0.0861 (0.0888) loss_contra: 0.0001 (0.0039) time: 2.5706 data: 0.0026 max mem: 31671 Epoch: [22] [ 580/5278] eta: 3:22:43 lr: 2.4236147116805784e-05 loss: 0.0531 (0.0612) loss_seg: 0.0577 (0.0657) loss_lansim: 0.0858 (0.0888) loss_contra: 0.0001 (0.0038) time: 2.5730 data: 0.0026 max mem: 31671 Epoch: [22] [ 590/5278] eta: 3:22:12 lr: 2.4233837017792414e-05 loss: 0.0524 (0.0613) loss_seg: 0.0554 (0.0658) loss_lansim: 0.0858 (0.0888) loss_contra: 0.0001 (0.0038) time: 2.5627 data: 0.0026 max mem: 31671 Epoch: [22] [ 600/5278] eta: 3:21:46 lr: 2.42315268943109e-05 loss: 0.0522 (0.0614) loss_seg: 0.0551 (0.0660) loss_lansim: 0.0853 (0.0887) loss_contra: 0.0001 (0.0037) time: 2.5611 data: 0.0026 max mem: 31671 Epoch: [22] [ 610/5278] eta: 3:21:22 lr: 2.422921674635838e-05 loss: 0.0500 (0.0613) loss_seg: 0.0541 (0.0658) loss_lansim: 0.0841 (0.0886) loss_contra: 0.0001 (0.0037) time: 2.5666 data: 0.0026 max mem: 31671 Epoch: [22] [ 620/5278] eta: 3:20:54 lr: 2.4226906573932008e-05 loss: 0.0491 (0.0615) loss_seg: 0.0541 (0.0661) loss_lansim: 0.0841 (0.0885) loss_contra: 0.0001 (0.0037) time: 2.5699 data: 0.0026 max mem: 31671 Epoch: [22] [ 630/5278] eta: 3:20:28 lr: 2.4224596377028938e-05 loss: 0.0500 (0.0616) loss_seg: 0.0551 (0.0662) loss_lansim: 0.0856 (0.0885) loss_contra: 0.0001 (0.0037) time: 2.5715 data: 0.0026 max mem: 31671 Epoch: [22] [ 640/5278] eta: 3:20:04 lr: 2.422228615564631e-05 loss: 0.0487 (0.0614) loss_seg: 0.0535 (0.0660) loss_lansim: 0.0862 (0.0886) loss_contra: 0.0001 (0.0036) time: 2.5786 data: 0.0026 max mem: 31671 Epoch: [22] [ 650/5278] eta: 3:19:37 lr: 2.4219975909781277e-05 loss: 0.0508 (0.0614) loss_seg: 0.0562 (0.0659) loss_lansim: 0.0862 (0.0886) loss_contra: 0.0001 (0.0036) time: 2.5806 data: 0.0026 max mem: 31671 Epoch: [22] [ 660/5278] eta: 3:19:10 lr: 2.4217665639430974e-05 loss: 0.0508 (0.0615) loss_seg: 0.0562 (0.0660) loss_lansim: 0.0862 (0.0885) loss_contra: 0.0001 (0.0035) time: 2.5796 data: 0.0026 max mem: 31671 Epoch: [22] [ 670/5278] eta: 3:18:47 lr: 2.421535534459255e-05 loss: 0.0501 (0.0613) loss_seg: 0.0551 (0.0659) loss_lansim: 0.0835 (0.0884) loss_contra: 0.0001 (0.0035) time: 2.5861 data: 0.0026 max mem: 31671 Epoch: [22] [ 680/5278] eta: 3:18:22 lr: 2.4213045025263157e-05 loss: 0.0492 (0.0611) loss_seg: 0.0532 (0.0657) loss_lansim: 0.0825 (0.0882) loss_contra: 0.0001 (0.0034) time: 2.5860 data: 0.0026 max mem: 31671 Epoch: [22] [ 690/5278] eta: 3:18:08 lr: 2.4210734681439935e-05 loss: 0.0500 (0.0610) loss_seg: 0.0532 (0.0656) loss_lansim: 0.0810 (0.0881) loss_contra: 0.0001 (0.0034) time: 2.6091 data: 0.0026 max mem: 31671 Epoch: [22] [ 700/5278] eta: 3:17:44 lr: 2.420842431312002e-05 loss: 0.0482 (0.0609) loss_seg: 0.0526 (0.0654) loss_lansim: 0.0810 (0.0881) loss_contra: 0.0001 (0.0034) time: 2.6136 data: 0.0026 max mem: 31671 Epoch: [22] [ 710/5278] eta: 3:17:18 lr: 2.4206113920300563e-05 loss: 0.0501 (0.0611) loss_seg: 0.0551 (0.0657) loss_lansim: 0.0818 (0.0880) loss_contra: 0.0001 (0.0034) time: 2.6115 data: 0.0026 max mem: 31671 Epoch: [22] [ 720/5278] eta: 3:16:53 lr: 2.42038035029787e-05 loss: 0.0492 (0.0609) loss_seg: 0.0529 (0.0655) loss_lansim: 0.0823 (0.0880) loss_contra: 0.0000 (0.0034) time: 2.6156 data: 0.0026 max mem: 31671 Epoch: [22] [ 730/5278] eta: 3:16:24 lr: 2.4201493061151584e-05 loss: 0.0492 (0.0609) loss_seg: 0.0529 (0.0654) loss_lansim: 0.0801 (0.0879) loss_contra: 0.0000 (0.0034) time: 2.6130 data: 0.0027 max mem: 31671 Epoch: [22] [ 740/5278] eta: 3:15:57 lr: 2.419918259481634e-05 loss: 0.0492 (0.0607) loss_seg: 0.0529 (0.0652) loss_lansim: 0.0801 (0.0879) loss_contra: 0.0000 (0.0033) time: 2.6086 data: 0.0027 max mem: 31671 Epoch: [22] [ 750/5278] eta: 3:15:30 lr: 2.4196872103970115e-05 loss: 0.0480 (0.0605) loss_seg: 0.0510 (0.0650) loss_lansim: 0.0798 (0.0878) loss_contra: 0.0000 (0.0033) time: 2.6074 data: 0.0027 max mem: 31671 Epoch: [22] [ 760/5278] eta: 3:15:11 lr: 2.419456158861005e-05 loss: 0.0481 (0.0604) loss_seg: 0.0529 (0.0649) loss_lansim: 0.0792 (0.0877) loss_contra: 0.0000 (0.0032) time: 2.6218 data: 0.0027 max mem: 31671 Epoch: [22] [ 770/5278] eta: 3:14:42 lr: 2.4192251048733283e-05 loss: 0.0497 (0.0606) loss_seg: 0.0536 (0.0651) loss_lansim: 0.0794 (0.0876) loss_contra: 0.0000 (0.0033) time: 2.6110 data: 0.0027 max mem: 31671 Epoch: [22] [ 780/5278] eta: 3:14:19 lr: 2.418994048433695e-05 loss: 0.0507 (0.0605) loss_seg: 0.0551 (0.0650) loss_lansim: 0.0798 (0.0877) loss_contra: 0.0000 (0.0033) time: 2.6161 data: 0.0026 max mem: 31671 Epoch: [22] [ 790/5278] eta: 3:13:53 lr: 2.4187629895418188e-05 loss: 0.0507 (0.0604) loss_seg: 0.0547 (0.0649) loss_lansim: 0.0831 (0.0877) loss_contra: 0.0000 (0.0033) time: 2.5996 data: 0.0026 max mem: 31671 Epoch: [22] [ 800/5278] eta: 3:13:31 lr: 2.4185319281974136e-05 loss: 0.0520 (0.0603) loss_seg: 0.0560 (0.0648) loss_lansim: 0.0833 (0.0877) loss_contra: 0.0000 (0.0032) time: 2.6019 data: 0.0027 max mem: 31671 Epoch: [22] [ 810/5278] eta: 3:13:05 lr: 2.4183008644001935e-05 loss: 0.0485 (0.0602) loss_seg: 0.0515 (0.0646) loss_lansim: 0.0838 (0.0877) loss_contra: 0.0000 (0.0032) time: 2.6030 data: 0.0027 max mem: 31671 Epoch: [22] [ 820/5278] eta: 3:12:44 lr: 2.418069798149871e-05 loss: 0.0507 (0.0602) loss_seg: 0.0551 (0.0647) loss_lansim: 0.0832 (0.0875) loss_contra: 0.0000 (0.0032) time: 2.6102 data: 0.0027 max mem: 31671 Epoch: [22] [ 830/5278] eta: 3:12:16 lr: 2.4178387294461602e-05 loss: 0.0517 (0.0604) loss_seg: 0.0566 (0.0649) loss_lansim: 0.0846 (0.0875) loss_contra: 0.0000 (0.0031) time: 2.6120 data: 0.0027 max mem: 31671 Epoch: [22] [ 840/5278] eta: 3:11:54 lr: 2.4176076582887744e-05 loss: 0.0520 (0.0604) loss_seg: 0.0569 (0.0649) loss_lansim: 0.0838 (0.0876) loss_contra: 0.0000 (0.0031) time: 2.6213 data: 0.0026 max mem: 31671 Epoch: [22] [ 850/5278] eta: 3:11:23 lr: 2.4173765846774277e-05 loss: 0.0520 (0.0604) loss_seg: 0.0566 (0.0649) loss_lansim: 0.0852 (0.0877) loss_contra: 0.0000 (0.0031) time: 2.6145 data: 0.0026 max mem: 31671 Epoch: [22] [ 860/5278] eta: 3:10:57 lr: 2.4171455086118318e-05 loss: 0.0521 (0.0603) loss_seg: 0.0556 (0.0647) loss_lansim: 0.0860 (0.0877) loss_contra: 0.0001 (0.0032) time: 2.6012 data: 0.0026 max mem: 31671 Epoch: [22] [ 870/5278] eta: 3:10:34 lr: 2.4169144300917012e-05 loss: 0.0505 (0.0602) loss_seg: 0.0546 (0.0646) loss_lansim: 0.0870 (0.0877) loss_contra: 0.0001 (0.0036) time: 2.6137 data: 0.0026 max mem: 31671 Epoch: [22] [ 880/5278] eta: 3:10:09 lr: 2.4166833491167488e-05 loss: 0.0502 (0.0602) loss_seg: 0.0515 (0.0646) loss_lansim: 0.0865 (0.0875) loss_contra: 0.0001 (0.0036) time: 2.6100 data: 0.0026 max mem: 31671 Epoch: [22] [ 890/5278] eta: 3:09:44 lr: 2.4164522656866873e-05 loss: 0.0517 (0.0601) loss_seg: 0.0549 (0.0646) loss_lansim: 0.0870 (0.0877) loss_contra: 0.0001 (0.0035) time: 2.6129 data: 0.0026 max mem: 31671 Epoch: [22] [ 900/5278] eta: 3:09:16 lr: 2.416221179801231e-05 loss: 0.0517 (0.0600) loss_seg: 0.0549 (0.0644) loss_lansim: 0.0868 (0.0876) loss_contra: 0.0001 (0.0035) time: 2.6024 data: 0.0026 max mem: 31671 Epoch: [22] [ 910/5278] eta: 3:08:50 lr: 2.415990091460091e-05 loss: 0.0513 (0.0598) loss_seg: 0.0546 (0.0643) loss_lansim: 0.0848 (0.0875) loss_contra: 0.0001 (0.0035) time: 2.6011 data: 0.0025 max mem: 31671 Epoch: [22] [ 920/5278] eta: 3:08:25 lr: 2.415759000662981e-05 loss: 0.0510 (0.0600) loss_seg: 0.0546 (0.0644) loss_lansim: 0.0868 (0.0875) loss_contra: 0.0001 (0.0035) time: 2.5946 data: 0.0025 max mem: 31671 Epoch: [22] [ 930/5278] eta: 3:07:58 lr: 2.4155279074096147e-05 loss: 0.0497 (0.0599) loss_seg: 0.0515 (0.0643) loss_lansim: 0.0849 (0.0875) loss_contra: 0.0001 (0.0035) time: 2.5948 data: 0.0025 max mem: 31671 Epoch: [22] [ 940/5278] eta: 3:07:36 lr: 2.4152968116997042e-05 loss: 0.0494 (0.0599) loss_seg: 0.0512 (0.0643) loss_lansim: 0.0835 (0.0874) loss_contra: 0.0001 (0.0034) time: 2.5968 data: 0.0025 max mem: 31671 Epoch: [22] [ 950/5278] eta: 3:07:10 lr: 2.4150657135329622e-05 loss: 0.0505 (0.0600) loss_seg: 0.0546 (0.0644) loss_lansim: 0.0826 (0.0874) loss_contra: 0.0001 (0.0034) time: 2.6065 data: 0.0025 max mem: 31671 Epoch: [22] [ 960/5278] eta: 3:06:46 lr: 2.414834612909101e-05 loss: 0.0497 (0.0599) loss_seg: 0.0535 (0.0643) loss_lansim: 0.0820 (0.0873) loss_contra: 0.0001 (0.0034) time: 2.6116 data: 0.0026 max mem: 31671 Epoch: [22] [ 970/5278] eta: 3:06:18 lr: 2.4146035098278337e-05 loss: 0.0505 (0.0600) loss_seg: 0.0549 (0.0644) loss_lansim: 0.0813 (0.0873) loss_contra: 0.0001 (0.0034) time: 2.6031 data: 0.0026 max mem: 31671 Epoch: [22] [ 980/5278] eta: 3:05:52 lr: 2.414372404288873e-05 loss: 0.0510 (0.0600) loss_seg: 0.0549 (0.0644) loss_lansim: 0.0826 (0.0873) loss_contra: 0.0001 (0.0034) time: 2.5995 data: 0.0026 max mem: 31671 Epoch: [22] [ 990/5278] eta: 3:05:24 lr: 2.4141412962919308e-05 loss: 0.0513 (0.0601) loss_seg: 0.0549 (0.0645) loss_lansim: 0.0817 (0.0872) loss_contra: 0.0001 (0.0034) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [22] [1000/5278] eta: 3:04:57 lr: 2.4139101858367197e-05 loss: 0.0513 (0.0600) loss_seg: 0.0557 (0.0644) loss_lansim: 0.0813 (0.0871) loss_contra: 0.0001 (0.0034) time: 2.5945 data: 0.0025 max mem: 31671 Epoch: [22] [1010/5278] eta: 3:04:33 lr: 2.413679072922952e-05 loss: 0.0516 (0.0599) loss_seg: 0.0561 (0.0643) loss_lansim: 0.0812 (0.0870) loss_contra: 0.0001 (0.0033) time: 2.5995 data: 0.0026 max mem: 31671 Epoch: [22] [1020/5278] eta: 3:04:09 lr: 2.4134479575503407e-05 loss: 0.0493 (0.0598) loss_seg: 0.0521 (0.0642) loss_lansim: 0.0808 (0.0870) loss_contra: 0.0001 (0.0033) time: 2.6024 data: 0.0025 max mem: 31671 Epoch: [22] [1030/5278] eta: 3:03:44 lr: 2.4132168397185968e-05 loss: 0.0489 (0.0597) loss_seg: 0.0518 (0.0641) loss_lansim: 0.0812 (0.0869) loss_contra: 0.0001 (0.0033) time: 2.6083 data: 0.0025 max mem: 31671 Epoch: [22] [1040/5278] eta: 3:03:20 lr: 2.4129857194274335e-05 loss: 0.0499 (0.0598) loss_seg: 0.0544 (0.0642) loss_lansim: 0.0818 (0.0869) loss_contra: 0.0001 (0.0033) time: 2.6031 data: 0.0025 max mem: 31671 Epoch: [22] [1050/5278] eta: 3:02:54 lr: 2.412754596676562e-05 loss: 0.0486 (0.0597) loss_seg: 0.0515 (0.0641) loss_lansim: 0.0817 (0.0869) loss_contra: 0.0001 (0.0032) time: 2.6048 data: 0.0025 max mem: 31671 Epoch: [22] [1060/5278] eta: 3:02:26 lr: 2.4125234714656955e-05 loss: 0.0493 (0.0598) loss_seg: 0.0518 (0.0642) loss_lansim: 0.0817 (0.0869) loss_contra: 0.0001 (0.0032) time: 2.5961 data: 0.0025 max mem: 31671 Epoch: [22] [1070/5278] eta: 3:02:01 lr: 2.4122923437945445e-05 loss: 0.0489 (0.0598) loss_seg: 0.0515 (0.0643) loss_lansim: 0.0818 (0.0869) loss_contra: 0.0001 (0.0032) time: 2.6003 data: 0.0024 max mem: 31671 Epoch: [22] [1080/5278] eta: 3:01:35 lr: 2.4120612136628214e-05 loss: 0.0482 (0.0598) loss_seg: 0.0513 (0.0642) loss_lansim: 0.0820 (0.0869) loss_contra: 0.0001 (0.0032) time: 2.6030 data: 0.0024 max mem: 31671 Epoch: [22] [1090/5278] eta: 3:01:11 lr: 2.4118300810702385e-05 loss: 0.0471 (0.0596) loss_seg: 0.0497 (0.0641) loss_lansim: 0.0818 (0.0869) loss_contra: 0.0001 (0.0032) time: 2.6098 data: 0.0025 max mem: 31671 Epoch: [22] [1100/5278] eta: 3:00:44 lr: 2.411598946016508e-05 loss: 0.0471 (0.0596) loss_seg: 0.0497 (0.0640) loss_lansim: 0.0820 (0.0868) loss_contra: 0.0000 (0.0032) time: 2.6119 data: 0.0024 max mem: 31671 Epoch: [22] [1110/5278] eta: 3:00:20 lr: 2.41136780850134e-05 loss: 0.0480 (0.0595) loss_seg: 0.0513 (0.0639) loss_lansim: 0.0822 (0.0868) loss_contra: 0.0001 (0.0032) time: 2.6138 data: 0.0024 max mem: 31671 Epoch: [22] [1120/5278] eta: 2:59:54 lr: 2.411136668524447e-05 loss: 0.0490 (0.0595) loss_seg: 0.0527 (0.0640) loss_lansim: 0.0833 (0.0867) loss_contra: 0.0001 (0.0033) time: 2.6093 data: 0.0024 max mem: 31671 Epoch: [22] [1130/5278] eta: 2:59:31 lr: 2.4109055260855407e-05 loss: 0.0495 (0.0595) loss_seg: 0.0528 (0.0639) loss_lansim: 0.0825 (0.0867) loss_contra: 0.0000 (0.0033) time: 2.6114 data: 0.0024 max mem: 31671 Epoch: [22] [1140/5278] eta: 2:59:02 lr: 2.410674381184332e-05 loss: 0.0490 (0.0596) loss_seg: 0.0527 (0.0640) loss_lansim: 0.0839 (0.0868) loss_contra: 0.0000 (0.0033) time: 2.6008 data: 0.0024 max mem: 31671 Epoch: [22] [1150/5278] eta: 2:58:35 lr: 2.4104432338205338e-05 loss: 0.0498 (0.0596) loss_seg: 0.0529 (0.0641) loss_lansim: 0.0836 (0.0867) loss_contra: 0.0000 (0.0033) time: 2.5965 data: 0.0024 max mem: 31671 Epoch: [22] [1160/5278] eta: 2:58:07 lr: 2.4102120839938557e-05 loss: 0.0498 (0.0597) loss_seg: 0.0529 (0.0642) loss_lansim: 0.0838 (0.0867) loss_contra: 0.0000 (0.0033) time: 2.5949 data: 0.0024 max mem: 31671 Epoch: [22] [1170/5278] eta: 2:57:41 lr: 2.40998093170401e-05 loss: 0.0490 (0.0595) loss_seg: 0.0519 (0.0640) loss_lansim: 0.0834 (0.0866) loss_contra: 0.0000 (0.0032) time: 2.5927 data: 0.0024 max mem: 31671 Epoch: [22] [1180/5278] eta: 2:57:15 lr: 2.4097497769507077e-05 loss: 0.0480 (0.0595) loss_seg: 0.0519 (0.0640) loss_lansim: 0.0833 (0.0866) loss_contra: 0.0000 (0.0033) time: 2.5933 data: 0.0024 max mem: 31671 Epoch: [22] [1190/5278] eta: 2:56:49 lr: 2.4095186197336604e-05 loss: 0.0491 (0.0595) loss_seg: 0.0527 (0.0640) loss_lansim: 0.0833 (0.0866) loss_contra: 0.0000 (0.0033) time: 2.5890 data: 0.0024 max mem: 31671 Epoch: [22] [1200/5278] eta: 2:56:21 lr: 2.4092874600525783e-05 loss: 0.0480 (0.0594) loss_seg: 0.0522 (0.0639) loss_lansim: 0.0826 (0.0866) loss_contra: 0.0000 (0.0033) time: 2.5838 data: 0.0024 max mem: 31671 Epoch: [22] [1210/5278] eta: 2:55:56 lr: 2.4090562979071728e-05 loss: 0.0468 (0.0593) loss_seg: 0.0502 (0.0638) loss_lansim: 0.0855 (0.0866) loss_contra: 0.0000 (0.0033) time: 2.5817 data: 0.0025 max mem: 31671 Epoch: [22] [1220/5278] eta: 2:55:32 lr: 2.4088251332971552e-05 loss: 0.0447 (0.0593) loss_seg: 0.0477 (0.0638) loss_lansim: 0.0834 (0.0865) loss_contra: 0.0000 (0.0033) time: 2.5875 data: 0.0025 max mem: 31671 Epoch: [22] [1230/5278] eta: 2:55:07 lr: 2.408593966222237e-05 loss: 0.0429 (0.0591) loss_seg: 0.0455 (0.0636) loss_lansim: 0.0855 (0.0866) loss_contra: 0.0000 (0.0032) time: 2.5861 data: 0.0025 max mem: 31671 Epoch: [22] [1240/5278] eta: 2:54:41 lr: 2.4083627966821273e-05 loss: 0.0425 (0.0591) loss_seg: 0.0455 (0.0636) loss_lansim: 0.0839 (0.0866) loss_contra: 0.0000 (0.0032) time: 2.5909 data: 0.0025 max mem: 31671 Epoch: [22] [1250/5278] eta: 2:54:14 lr: 2.408131624676538e-05 loss: 0.0429 (0.0591) loss_seg: 0.0455 (0.0635) loss_lansim: 0.0834 (0.0865) loss_contra: 0.0000 (0.0033) time: 2.5908 data: 0.0025 max mem: 31671 Epoch: [22] [1260/5278] eta: 2:53:48 lr: 2.40790045020518e-05 loss: 0.0425 (0.0590) loss_seg: 0.0452 (0.0634) loss_lansim: 0.0830 (0.0865) loss_contra: 0.0000 (0.0033) time: 2.5965 data: 0.0025 max mem: 31671 Epoch: [22] [1270/5278] eta: 2:53:21 lr: 2.4076692732677642e-05 loss: 0.0429 (0.0589) loss_seg: 0.0455 (0.0633) loss_lansim: 0.0834 (0.0864) loss_contra: 0.0000 (0.0033) time: 2.5964 data: 0.0026 max mem: 31671 Epoch: [22] [1280/5278] eta: 2:52:55 lr: 2.4074380938639997e-05 loss: 0.0412 (0.0587) loss_seg: 0.0449 (0.0632) loss_lansim: 0.0835 (0.0864) loss_contra: 0.0000 (0.0032) time: 2.5951 data: 0.0026 max mem: 31671 Epoch: [22] [1290/5278] eta: 2:52:29 lr: 2.4072069119935987e-05 loss: 0.0412 (0.0587) loss_seg: 0.0443 (0.0631) loss_lansim: 0.0832 (0.0864) loss_contra: 0.0001 (0.0032) time: 2.5957 data: 0.0026 max mem: 31671 Epoch: [22] [1300/5278] eta: 2:52:04 lr: 2.4069757276562705e-05 loss: 0.0418 (0.0589) loss_seg: 0.0452 (0.0633) loss_lansim: 0.0832 (0.0864) loss_contra: 0.0001 (0.0032) time: 2.6052 data: 0.0026 max mem: 31671 Epoch: [22] [1310/5278] eta: 2:51:40 lr: 2.4067445408517264e-05 loss: 0.0425 (0.0590) loss_seg: 0.0452 (0.0634) loss_lansim: 0.0829 (0.0863) loss_contra: 0.0001 (0.0032) time: 2.6058 data: 0.0026 max mem: 31671 Epoch: [22] [1320/5278] eta: 2:51:15 lr: 2.4065133515796757e-05 loss: 0.0433 (0.0590) loss_seg: 0.0471 (0.0635) loss_lansim: 0.0830 (0.0863) loss_contra: 0.0001 (0.0036) time: 2.6025 data: 0.0026 max mem: 31671 Epoch: [22] [1330/5278] eta: 2:50:48 lr: 2.40628215983983e-05 loss: 0.0456 (0.0590) loss_seg: 0.0500 (0.0635) loss_lansim: 0.0823 (0.0863) loss_contra: 0.0001 (0.0036) time: 2.5975 data: 0.0026 max mem: 31671 Epoch: [22] [1340/5278] eta: 2:50:22 lr: 2.4060509656318982e-05 loss: 0.0476 (0.0591) loss_seg: 0.0503 (0.0636) loss_lansim: 0.0816 (0.0863) loss_contra: 0.0001 (0.0036) time: 2.6002 data: 0.0026 max mem: 31671 Epoch: [22] [1350/5278] eta: 2:49:58 lr: 2.4058197689555917e-05 loss: 0.0469 (0.0590) loss_seg: 0.0500 (0.0635) loss_lansim: 0.0816 (0.0862) loss_contra: 0.0001 (0.0036) time: 2.6071 data: 0.0026 max mem: 31671 Epoch: [22] [1360/5278] eta: 2:49:34 lr: 2.405588569810619e-05 loss: 0.0496 (0.0590) loss_seg: 0.0515 (0.0635) loss_lansim: 0.0819 (0.0862) loss_contra: 0.0001 (0.0036) time: 2.6145 data: 0.0026 max mem: 31671 Epoch: [22] [1370/5278] eta: 2:49:09 lr: 2.4053573681966916e-05 loss: 0.0499 (0.0591) loss_seg: 0.0533 (0.0636) loss_lansim: 0.0819 (0.0862) loss_contra: 0.0001 (0.0036) time: 2.6195 data: 0.0026 max mem: 31671 Epoch: [22] [1380/5278] eta: 2:48:42 lr: 2.405126164113519e-05 loss: 0.0504 (0.0591) loss_seg: 0.0552 (0.0636) loss_lansim: 0.0816 (0.0862) loss_contra: 0.0001 (0.0035) time: 2.6161 data: 0.0026 max mem: 31671 Epoch: [22] [1390/5278] eta: 2:48:17 lr: 2.4048949575608104e-05 loss: 0.0507 (0.0590) loss_seg: 0.0553 (0.0636) loss_lansim: 0.0826 (0.0862) loss_contra: 0.0001 (0.0035) time: 2.6214 data: 0.0026 max mem: 31671 Epoch: [22] [1400/5278] eta: 2:47:51 lr: 2.404663748538277e-05 loss: 0.0504 (0.0590) loss_seg: 0.0552 (0.0635) loss_lansim: 0.0819 (0.0861) loss_contra: 0.0000 (0.0035) time: 2.6170 data: 0.0026 max mem: 31671 Epoch: [22] [1410/5278] eta: 2:47:22 lr: 2.4044325370456268e-05 loss: 0.0510 (0.0591) loss_seg: 0.0559 (0.0636) loss_lansim: 0.0826 (0.0861) loss_contra: 0.0000 (0.0035) time: 2.6046 data: 0.0026 max mem: 31671 Epoch: [22] [1420/5278] eta: 2:46:55 lr: 2.4042013230825707e-05 loss: 0.0510 (0.0590) loss_seg: 0.0559 (0.0635) loss_lansim: 0.0826 (0.0861) loss_contra: 0.0000 (0.0035) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [22] [1430/5278] eta: 2:46:30 lr: 2.403970106648818e-05 loss: 0.0507 (0.0589) loss_seg: 0.0554 (0.0634) loss_lansim: 0.0816 (0.0860) loss_contra: 0.0000 (0.0034) time: 2.6020 data: 0.0026 max mem: 31671 Epoch: [22] [1440/5278] eta: 2:46:05 lr: 2.4037388877440785e-05 loss: 0.0507 (0.0589) loss_seg: 0.0554 (0.0634) loss_lansim: 0.0815 (0.0860) loss_contra: 0.0000 (0.0034) time: 2.6024 data: 0.0026 max mem: 31671 Epoch: [22] [1450/5278] eta: 2:45:41 lr: 2.4035076663680615e-05 loss: 0.0510 (0.0589) loss_seg: 0.0559 (0.0634) loss_lansim: 0.0811 (0.0859) loss_contra: 0.0000 (0.0034) time: 2.6073 data: 0.0026 max mem: 31671 Epoch: [22] [1460/5278] eta: 2:45:16 lr: 2.403276442520476e-05 loss: 0.0510 (0.0588) loss_seg: 0.0559 (0.0633) loss_lansim: 0.0814 (0.0859) loss_contra: 0.0000 (0.0034) time: 2.6042 data: 0.0026 max mem: 31671 Epoch: [22] [1470/5278] eta: 2:44:49 lr: 2.4030452162010316e-05 loss: 0.0510 (0.0589) loss_seg: 0.0559 (0.0634) loss_lansim: 0.0809 (0.0859) loss_contra: 0.0000 (0.0034) time: 2.5967 data: 0.0026 max mem: 31671 Epoch: [22] [1480/5278] eta: 2:44:24 lr: 2.4028139874094384e-05 loss: 0.0510 (0.0588) loss_seg: 0.0557 (0.0633) loss_lansim: 0.0809 (0.0859) loss_contra: 0.0000 (0.0033) time: 2.6041 data: 0.0027 max mem: 31671 Epoch: [22] [1490/5278] eta: 2:43:58 lr: 2.4025827561454048e-05 loss: 0.0518 (0.0588) loss_seg: 0.0561 (0.0633) loss_lansim: 0.0784 (0.0858) loss_contra: 0.0000 (0.0034) time: 2.6011 data: 0.0027 max mem: 31671 Epoch: [22] [1500/5278] eta: 2:43:33 lr: 2.4023515224086397e-05 loss: 0.0504 (0.0587) loss_seg: 0.0545 (0.0632) loss_lansim: 0.0809 (0.0858) loss_contra: 0.0000 (0.0034) time: 2.6046 data: 0.0027 max mem: 31671 Epoch: [22] [1510/5278] eta: 2:43:06 lr: 2.4021202861988525e-05 loss: 0.0473 (0.0586) loss_seg: 0.0513 (0.0631) loss_lansim: 0.0809 (0.0859) loss_contra: 0.0000 (0.0034) time: 2.6108 data: 0.0027 max mem: 31671 Epoch: [22] [1520/5278] eta: 2:42:40 lr: 2.4018890475157532e-05 loss: 0.0473 (0.0586) loss_seg: 0.0513 (0.0631) loss_lansim: 0.0819 (0.0859) loss_contra: 0.0000 (0.0034) time: 2.6126 data: 0.0027 max mem: 31671 Epoch: [22] [1530/5278] eta: 2:42:13 lr: 2.4016578063590493e-05 loss: 0.0475 (0.0586) loss_seg: 0.0516 (0.0631) loss_lansim: 0.0824 (0.0859) loss_contra: 0.0000 (0.0033) time: 2.6056 data: 0.0026 max mem: 31671 Epoch: [22] [1540/5278] eta: 2:41:48 lr: 2.4014265627284505e-05 loss: 0.0472 (0.0588) loss_seg: 0.0513 (0.0633) loss_lansim: 0.0824 (0.0858) loss_contra: 0.0000 (0.0033) time: 2.6073 data: 0.0027 max mem: 31671 Epoch: [22] [1550/5278] eta: 2:41:24 lr: 2.4011953166236655e-05 loss: 0.0465 (0.0589) loss_seg: 0.0490 (0.0634) loss_lansim: 0.0824 (0.0858) loss_contra: 0.0000 (0.0033) time: 2.6089 data: 0.0027 max mem: 31671 Epoch: [22] [1560/5278] eta: 2:40:58 lr: 2.400964068044403e-05 loss: 0.0464 (0.0588) loss_seg: 0.0490 (0.0633) loss_lansim: 0.0819 (0.0858) loss_contra: 0.0000 (0.0033) time: 2.6057 data: 0.0027 max mem: 31671 Epoch: [22] [1570/5278] eta: 2:40:34 lr: 2.4007328169903716e-05 loss: 0.0455 (0.0588) loss_seg: 0.0490 (0.0633) loss_lansim: 0.0824 (0.0858) loss_contra: 0.0000 (0.0033) time: 2.6168 data: 0.0026 max mem: 31671 Epoch: [22] [1580/5278] eta: 2:40:10 lr: 2.40050156346128e-05 loss: 0.0444 (0.0587) loss_seg: 0.0482 (0.0632) loss_lansim: 0.0819 (0.0857) loss_contra: 0.0000 (0.0033) time: 2.6217 data: 0.0026 max mem: 31671 Epoch: [22] [1590/5278] eta: 2:39:44 lr: 2.400270307456837e-05 loss: 0.0445 (0.0587) loss_seg: 0.0489 (0.0633) loss_lansim: 0.0822 (0.0858) loss_contra: 0.0000 (0.0033) time: 2.6221 data: 0.0026 max mem: 31671 Epoch: [22] [1600/5278] eta: 2:39:20 lr: 2.4000390489767516e-05 loss: 0.0445 (0.0587) loss_seg: 0.0489 (0.0632) loss_lansim: 0.0819 (0.0857) loss_contra: 0.0000 (0.0033) time: 2.6255 data: 0.0026 max mem: 31671 Epoch: [22] [1610/5278] eta: 2:38:52 lr: 2.3998077880207308e-05 loss: 0.0465 (0.0586) loss_seg: 0.0490 (0.0631) loss_lansim: 0.0805 (0.0857) loss_contra: 0.0000 (0.0033) time: 2.6202 data: 0.0026 max mem: 31671 Epoch: [22] [1620/5278] eta: 2:38:26 lr: 2.399576524588484e-05 loss: 0.0444 (0.0585) loss_seg: 0.0482 (0.0630) loss_lansim: 0.0795 (0.0857) loss_contra: 0.0000 (0.0033) time: 2.6236 data: 0.0026 max mem: 31671 Epoch: [22] [1630/5278] eta: 2:38:00 lr: 2.399345258679719e-05 loss: 0.0438 (0.0584) loss_seg: 0.0476 (0.0629) loss_lansim: 0.0795 (0.0857) loss_contra: 0.0000 (0.0033) time: 2.6291 data: 0.0026 max mem: 31671 Epoch: [22] [1640/5278] eta: 2:37:34 lr: 2.3991139902941446e-05 loss: 0.0464 (0.0585) loss_seg: 0.0482 (0.0630) loss_lansim: 0.0795 (0.0856) loss_contra: 0.0000 (0.0033) time: 2.6249 data: 0.0026 max mem: 31671 Epoch: [22] [1650/5278] eta: 2:37:07 lr: 2.3988827194314695e-05 loss: 0.0444 (0.0585) loss_seg: 0.0481 (0.0630) loss_lansim: 0.0812 (0.0856) loss_contra: 0.0000 (0.0036) time: 2.6122 data: 0.0026 max mem: 31671 Epoch: [22] [1660/5278] eta: 2:36:42 lr: 2.3986514460914e-05 loss: 0.0444 (0.0584) loss_seg: 0.0469 (0.0629) loss_lansim: 0.0816 (0.0856) loss_contra: 0.0000 (0.0036) time: 2.6122 data: 0.0025 max mem: 31671 Epoch: [22] [1670/5278] eta: 2:36:16 lr: 2.3984201702736456e-05 loss: 0.0438 (0.0585) loss_seg: 0.0461 (0.0630) loss_lansim: 0.0797 (0.0856) loss_contra: 0.0000 (0.0036) time: 2.6055 data: 0.0025 max mem: 31671 Epoch: [22] [1680/5278] eta: 2:35:50 lr: 2.3981888919779137e-05 loss: 0.0474 (0.0586) loss_seg: 0.0481 (0.0630) loss_lansim: 0.0799 (0.0856) loss_contra: 0.0000 (0.0036) time: 2.5980 data: 0.0025 max mem: 31671 Epoch: [22] [1690/5278] eta: 2:35:23 lr: 2.397957611203913e-05 loss: 0.0438 (0.0585) loss_seg: 0.0469 (0.0630) loss_lansim: 0.0795 (0.0855) loss_contra: 0.0000 (0.0038) time: 2.5916 data: 0.0025 max mem: 31671 Epoch: [22] [1700/5278] eta: 2:34:58 lr: 2.3977263279513497e-05 loss: 0.0429 (0.0585) loss_seg: 0.0469 (0.0629) loss_lansim: 0.0795 (0.0855) loss_contra: 0.0001 (0.0038) time: 2.5891 data: 0.0025 max mem: 31671 Epoch: [22] [1710/5278] eta: 2:34:33 lr: 2.3974950422199334e-05 loss: 0.0493 (0.0586) loss_seg: 0.0503 (0.0631) loss_lansim: 0.0792 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.6031 data: 0.0025 max mem: 31671 Epoch: [22] [1720/5278] eta: 2:34:08 lr: 2.3972637540093706e-05 loss: 0.0493 (0.0586) loss_seg: 0.0515 (0.0631) loss_lansim: 0.0799 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.6050 data: 0.0024 max mem: 31671 Epoch: [22] [1730/5278] eta: 2:33:41 lr: 2.3970324633193702e-05 loss: 0.0507 (0.0586) loss_seg: 0.0548 (0.0630) loss_lansim: 0.0805 (0.0854) loss_contra: 0.0001 (0.0037) time: 2.6007 data: 0.0024 max mem: 31671 Epoch: [22] [1740/5278] eta: 2:33:15 lr: 2.396801170149638e-05 loss: 0.0487 (0.0585) loss_seg: 0.0517 (0.0630) loss_lansim: 0.0811 (0.0854) loss_contra: 0.0001 (0.0037) time: 2.6033 data: 0.0024 max mem: 31671 Epoch: [22] [1750/5278] eta: 2:32:48 lr: 2.396569874499883e-05 loss: 0.0487 (0.0586) loss_seg: 0.0517 (0.0630) loss_lansim: 0.0811 (0.0854) loss_contra: 0.0001 (0.0037) time: 2.6007 data: 0.0024 max mem: 31671 Epoch: [22] [1760/5278] eta: 2:32:23 lr: 2.3963385763698123e-05 loss: 0.0493 (0.0586) loss_seg: 0.0540 (0.0631) loss_lansim: 0.0800 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.6045 data: 0.0024 max mem: 31671 Epoch: [22] [1770/5278] eta: 2:31:55 lr: 2.3961072757591337e-05 loss: 0.0491 (0.0586) loss_seg: 0.0526 (0.0631) loss_lansim: 0.0805 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.5961 data: 0.0024 max mem: 31671 Epoch: [22] [1780/5278] eta: 2:31:30 lr: 2.395875972667553e-05 loss: 0.0477 (0.0586) loss_seg: 0.0512 (0.0631) loss_lansim: 0.0814 (0.0854) loss_contra: 0.0001 (0.0037) time: 2.5978 data: 0.0025 max mem: 31671 Epoch: [22] [1790/5278] eta: 2:31:03 lr: 2.3956446670947787e-05 loss: 0.0478 (0.0585) loss_seg: 0.0512 (0.0630) loss_lansim: 0.0814 (0.0853) loss_contra: 0.0001 (0.0037) time: 2.5983 data: 0.0025 max mem: 31671 Epoch: [22] [1800/5278] eta: 2:30:37 lr: 2.3954133590405178e-05 loss: 0.0483 (0.0585) loss_seg: 0.0520 (0.0630) loss_lansim: 0.0813 (0.0853) loss_contra: 0.0001 (0.0037) time: 2.5932 data: 0.0025 max mem: 31671 Epoch: [22] [1810/5278] eta: 2:30:10 lr: 2.395182048504478e-05 loss: 0.0461 (0.0584) loss_seg: 0.0484 (0.0629) loss_lansim: 0.0827 (0.0853) loss_contra: 0.0001 (0.0037) time: 2.5846 data: 0.0025 max mem: 31671 Epoch: [22] [1820/5278] eta: 2:29:45 lr: 2.394950735486365e-05 loss: 0.0461 (0.0584) loss_seg: 0.0484 (0.0628) loss_lansim: 0.0814 (0.0852) loss_contra: 0.0001 (0.0037) time: 2.5842 data: 0.0025 max mem: 31671 Epoch: [22] [1830/5278] eta: 2:29:19 lr: 2.3947194199858868e-05 loss: 0.0459 (0.0584) loss_seg: 0.0480 (0.0628) loss_lansim: 0.0813 (0.0852) loss_contra: 0.0001 (0.0037) time: 2.5860 data: 0.0026 max mem: 31671 Epoch: [22] [1840/5278] eta: 2:28:54 lr: 2.3944881020027497e-05 loss: 0.0472 (0.0585) loss_seg: 0.0499 (0.0630) loss_lansim: 0.0811 (0.0852) loss_contra: 0.0001 (0.0037) time: 2.5927 data: 0.0026 max mem: 31671 Epoch: [22] [1850/5278] eta: 2:28:28 lr: 2.3942567815366614e-05 loss: 0.0465 (0.0585) loss_seg: 0.0494 (0.0630) loss_lansim: 0.0801 (0.0852) loss_contra: 0.0001 (0.0037) time: 2.5965 data: 0.0026 max mem: 31671 Epoch: [22] [1860/5278] eta: 2:28:01 lr: 2.394025458587329e-05 loss: 0.0461 (0.0585) loss_seg: 0.0480 (0.0629) loss_lansim: 0.0801 (0.0851) loss_contra: 0.0001 (0.0037) time: 2.5912 data: 0.0026 max mem: 31671 Epoch: [22] [1870/5278] eta: 2:27:36 lr: 2.393794133154457e-05 loss: 0.0461 (0.0585) loss_seg: 0.0476 (0.0629) loss_lansim: 0.0791 (0.0851) loss_contra: 0.0000 (0.0036) time: 2.6007 data: 0.0026 max mem: 31671 Epoch: [22] [1880/5278] eta: 2:27:10 lr: 2.3935628052377544e-05 loss: 0.0428 (0.0585) loss_seg: 0.0472 (0.0630) loss_lansim: 0.0787 (0.0851) loss_contra: 0.0000 (0.0036) time: 2.6002 data: 0.0026 max mem: 31671 Epoch: [22] [1890/5278] eta: 2:26:44 lr: 2.3933314748369264e-05 loss: 0.0417 (0.0584) loss_seg: 0.0454 (0.0629) loss_lansim: 0.0786 (0.0850) loss_contra: 0.0000 (0.0036) time: 2.6007 data: 0.0026 max mem: 31671 Epoch: [22] [1900/5278] eta: 2:26:19 lr: 2.393100141951681e-05 loss: 0.0417 (0.0584) loss_seg: 0.0454 (0.0629) loss_lansim: 0.0783 (0.0850) loss_contra: 0.0000 (0.0037) time: 2.6080 data: 0.0026 max mem: 31671 Epoch: [22] [1910/5278] eta: 2:25:53 lr: 2.3928688065817232e-05 loss: 0.0428 (0.0583) loss_seg: 0.0459 (0.0628) loss_lansim: 0.0775 (0.0850) loss_contra: 0.0000 (0.0036) time: 2.6134 data: 0.0026 max mem: 31671 Epoch: [22] [1920/5278] eta: 2:25:27 lr: 2.3926374687267596e-05 loss: 0.0428 (0.0585) loss_seg: 0.0459 (0.0630) loss_lansim: 0.0775 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.6121 data: 0.0026 max mem: 31671 Epoch: [22] [1930/5278] eta: 2:25:01 lr: 2.392406128386497e-05 loss: 0.0437 (0.0586) loss_seg: 0.0481 (0.0631) loss_lansim: 0.0775 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.6112 data: 0.0026 max mem: 31671 Epoch: [22] [1940/5278] eta: 2:24:36 lr: 2.3921747855606422e-05 loss: 0.0437 (0.0585) loss_seg: 0.0472 (0.0631) loss_lansim: 0.0770 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.6098 data: 0.0026 max mem: 31671 Epoch: [22] [1950/5278] eta: 2:24:10 lr: 2.3919434402489002e-05 loss: 0.0446 (0.0585) loss_seg: 0.0476 (0.0631) loss_lansim: 0.0761 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.6093 data: 0.0026 max mem: 31671 Epoch: [22] [1960/5278] eta: 2:23:44 lr: 2.3917120924509777e-05 loss: 0.0453 (0.0585) loss_seg: 0.0481 (0.0630) loss_lansim: 0.0775 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.6131 data: 0.0026 max mem: 31671 Epoch: [22] [1970/5278] eta: 2:23:17 lr: 2.3914807421665804e-05 loss: 0.0446 (0.0585) loss_seg: 0.0476 (0.0630) loss_lansim: 0.0778 (0.0848) loss_contra: 0.0000 (0.0035) time: 2.6059 data: 0.0026 max mem: 31671 Epoch: [22] [1980/5278] eta: 2:22:52 lr: 2.3912493893954157e-05 loss: 0.0437 (0.0584) loss_seg: 0.0475 (0.0629) loss_lansim: 0.0761 (0.0847) loss_contra: 0.0000 (0.0036) time: 2.6080 data: 0.0026 max mem: 31671 Epoch: [22] [1990/5278] eta: 2:22:27 lr: 2.3910180341371878e-05 loss: 0.0436 (0.0584) loss_seg: 0.0467 (0.0629) loss_lansim: 0.0770 (0.0847) loss_contra: 0.0000 (0.0035) time: 2.6183 data: 0.0026 max mem: 31671 Epoch: [22] [2000/5278] eta: 2:22:01 lr: 2.3907866763916032e-05 loss: 0.0424 (0.0583) loss_seg: 0.0465 (0.0628) loss_lansim: 0.0756 (0.0847) loss_contra: 0.0000 (0.0038) time: 2.6158 data: 0.0026 max mem: 31671 Epoch: [22] [2010/5278] eta: 2:21:34 lr: 2.3905553161583676e-05 loss: 0.0423 (0.0582) loss_seg: 0.0461 (0.0627) loss_lansim: 0.0753 (0.0847) loss_contra: 0.0000 (0.0038) time: 2.6039 data: 0.0026 max mem: 31671 Epoch: [22] [2020/5278] eta: 2:21:08 lr: 2.3903239534371875e-05 loss: 0.0424 (0.0582) loss_seg: 0.0467 (0.0626) loss_lansim: 0.0758 (0.0846) loss_contra: 0.0000 (0.0038) time: 2.6033 data: 0.0026 max mem: 31671 Epoch: [22] [2030/5278] eta: 2:20:41 lr: 2.390092588227768e-05 loss: 0.0424 (0.0582) loss_seg: 0.0467 (0.0627) loss_lansim: 0.0758 (0.0846) loss_contra: 0.0000 (0.0038) time: 2.5996 data: 0.0026 max mem: 31671 Epoch: [22] [2040/5278] eta: 2:20:16 lr: 2.389861220529814e-05 loss: 0.0454 (0.0582) loss_seg: 0.0473 (0.0627) loss_lansim: 0.0758 (0.0846) loss_contra: 0.0000 (0.0038) time: 2.5961 data: 0.0026 max mem: 31671 Epoch: [22] [2050/5278] eta: 2:19:49 lr: 2.3896298503430324e-05 loss: 0.0424 (0.0581) loss_seg: 0.0467 (0.0626) loss_lansim: 0.0758 (0.0845) loss_contra: 0.0000 (0.0038) time: 2.5971 data: 0.0026 max mem: 31671 Epoch: [22] [2060/5278] eta: 2:19:23 lr: 2.389398477667128e-05 loss: 0.0454 (0.0582) loss_seg: 0.0473 (0.0627) loss_lansim: 0.0767 (0.0845) loss_contra: 0.0001 (0.0038) time: 2.5907 data: 0.0025 max mem: 31671 Epoch: [22] [2070/5278] eta: 2:18:56 lr: 2.3891671025018058e-05 loss: 0.0471 (0.0583) loss_seg: 0.0509 (0.0628) loss_lansim: 0.0771 (0.0845) loss_contra: 0.0001 (0.0038) time: 2.5926 data: 0.0025 max mem: 31671 Epoch: [22] [2080/5278] eta: 2:18:30 lr: 2.3889357248467714e-05 loss: 0.0467 (0.0583) loss_seg: 0.0509 (0.0627) loss_lansim: 0.0771 (0.0845) loss_contra: 0.0001 (0.0038) time: 2.5869 data: 0.0025 max mem: 31671 Epoch: [22] [2090/5278] eta: 2:18:04 lr: 2.3887043447017306e-05 loss: 0.0471 (0.0583) loss_seg: 0.0510 (0.0628) loss_lansim: 0.0772 (0.0845) loss_contra: 0.0002 (0.0038) time: 2.5780 data: 0.0025 max mem: 31671 Epoch: [22] [2100/5278] eta: 2:17:38 lr: 2.3884729620663878e-05 loss: 0.0475 (0.0582) loss_seg: 0.0515 (0.0627) loss_lansim: 0.0777 (0.0845) loss_contra: 0.0002 (0.0039) time: 2.5740 data: 0.0025 max mem: 31671 Epoch: [22] [2110/5278] eta: 2:17:11 lr: 2.3882415769404493e-05 loss: 0.0479 (0.0582) loss_seg: 0.0524 (0.0627) loss_lansim: 0.0786 (0.0844) loss_contra: 0.0003 (0.0039) time: 2.5822 data: 0.0025 max mem: 31671 Epoch: [22] [2120/5278] eta: 2:16:46 lr: 2.388010189323619e-05 loss: 0.0471 (0.0581) loss_seg: 0.0515 (0.0625) loss_lansim: 0.0786 (0.0844) loss_contra: 0.0002 (0.0039) time: 2.5847 data: 0.0025 max mem: 31671 Epoch: [22] [2130/5278] eta: 2:16:20 lr: 2.387778799215602e-05 loss: 0.0467 (0.0581) loss_seg: 0.0509 (0.0626) loss_lansim: 0.0793 (0.0844) loss_contra: 0.0001 (0.0038) time: 2.5873 data: 0.0025 max mem: 31671 Epoch: [22] [2140/5278] eta: 2:15:53 lr: 2.387547406616104e-05 loss: 0.0453 (0.0580) loss_seg: 0.0502 (0.0625) loss_lansim: 0.0793 (0.0844) loss_contra: 0.0001 (0.0038) time: 2.5792 data: 0.0025 max mem: 31671 Epoch: [22] [2150/5278] eta: 2:15:27 lr: 2.3873160115248297e-05 loss: 0.0465 (0.0581) loss_seg: 0.0507 (0.0625) loss_lansim: 0.0800 (0.0844) loss_contra: 0.0001 (0.0038) time: 2.5794 data: 0.0025 max mem: 31671 Epoch: [22] [2160/5278] eta: 2:15:01 lr: 2.387084613941483e-05 loss: 0.0453 (0.0580) loss_seg: 0.0502 (0.0625) loss_lansim: 0.0799 (0.0844) loss_contra: 0.0001 (0.0038) time: 2.5840 data: 0.0025 max mem: 31671 Epoch: [22] [2170/5278] eta: 2:14:34 lr: 2.3868532138657695e-05 loss: 0.0434 (0.0579) loss_seg: 0.0478 (0.0624) loss_lansim: 0.0799 (0.0844) loss_contra: 0.0001 (0.0038) time: 2.5796 data: 0.0025 max mem: 31671 Epoch: [22] [2180/5278] eta: 2:14:06 lr: 2.386621811297394e-05 loss: 0.0432 (0.0579) loss_seg: 0.0475 (0.0623) loss_lansim: 0.0820 (0.0844) loss_contra: 0.0001 (0.0038) time: 2.5701 data: 0.0025 max mem: 31671 Epoch: [22] [2190/5278] eta: 2:13:41 lr: 2.3863904062360607e-05 loss: 0.0409 (0.0578) loss_seg: 0.0451 (0.0623) loss_lansim: 0.0818 (0.0843) loss_contra: 0.0001 (0.0037) time: 2.5778 data: 0.0025 max mem: 31671 Epoch: [22] [2200/5278] eta: 2:13:15 lr: 2.3861589986814738e-05 loss: 0.0437 (0.0578) loss_seg: 0.0481 (0.0623) loss_lansim: 0.0821 (0.0843) loss_contra: 0.0001 (0.0037) time: 2.5768 data: 0.0025 max mem: 31671 Epoch: [22] [2210/5278] eta: 2:12:48 lr: 2.3859275886333384e-05 loss: 0.0437 (0.0579) loss_seg: 0.0481 (0.0623) loss_lansim: 0.0822 (0.0843) loss_contra: 0.0001 (0.0037) time: 2.5745 data: 0.0025 max mem: 31671 Epoch: [22] [2220/5278] eta: 2:12:22 lr: 2.385696176091359e-05 loss: 0.0436 (0.0578) loss_seg: 0.0481 (0.0623) loss_lansim: 0.0825 (0.0843) loss_contra: 0.0001 (0.0037) time: 2.5707 data: 0.0025 max mem: 31671 Epoch: [22] [2230/5278] eta: 2:11:56 lr: 2.3854647610552393e-05 loss: 0.0437 (0.0579) loss_seg: 0.0481 (0.0623) loss_lansim: 0.0830 (0.0843) loss_contra: 0.0001 (0.0037) time: 2.5727 data: 0.0025 max mem: 31671 Epoch: [22] [2240/5278] eta: 2:11:31 lr: 2.385233343524684e-05 loss: 0.0447 (0.0579) loss_seg: 0.0482 (0.0623) loss_lansim: 0.0839 (0.0843) loss_contra: 0.0001 (0.0037) time: 2.5817 data: 0.0025 max mem: 31671 Epoch: [22] [2250/5278] eta: 2:11:04 lr: 2.385001923499397e-05 loss: 0.0436 (0.0578) loss_seg: 0.0481 (0.0623) loss_lansim: 0.0825 (0.0843) loss_contra: 0.0000 (0.0037) time: 2.5809 data: 0.0025 max mem: 31671 Epoch: [22] [2260/5278] eta: 2:10:39 lr: 2.3847705009790826e-05 loss: 0.0436 (0.0578) loss_seg: 0.0481 (0.0623) loss_lansim: 0.0830 (0.0843) loss_contra: 0.0000 (0.0037) time: 2.5818 data: 0.0026 max mem: 31671 Epoch: [22] [2270/5278] eta: 2:10:12 lr: 2.3845390759634458e-05 loss: 0.0451 (0.0578) loss_seg: 0.0493 (0.0622) loss_lansim: 0.0825 (0.0843) loss_contra: 0.0000 (0.0037) time: 2.5834 data: 0.0026 max mem: 31671 Epoch: [22] [2280/5278] eta: 2:09:46 lr: 2.3843076484521887e-05 loss: 0.0469 (0.0579) loss_seg: 0.0516 (0.0623) loss_lansim: 0.0821 (0.0843) loss_contra: 0.0000 (0.0037) time: 2.5980 data: 0.0025 max mem: 31671 Epoch: [22] [2290/5278] eta: 2:09:20 lr: 2.3840762184450162e-05 loss: 0.0478 (0.0578) loss_seg: 0.0524 (0.0622) loss_lansim: 0.0836 (0.0843) loss_contra: 0.0000 (0.0037) time: 2.5910 data: 0.0026 max mem: 31671 Epoch: [22] [2300/5278] eta: 2:08:53 lr: 2.3838447859416326e-05 loss: 0.0476 (0.0580) loss_seg: 0.0516 (0.0624) loss_lansim: 0.0826 (0.0843) loss_contra: 0.0000 (0.0037) time: 2.5843 data: 0.0026 max mem: 31671 Epoch: [22] [2310/5278] eta: 2:08:27 lr: 2.3836133509417416e-05 loss: 0.0476 (0.0580) loss_seg: 0.0516 (0.0624) loss_lansim: 0.0809 (0.0842) loss_contra: 0.0000 (0.0037) time: 2.5875 data: 0.0026 max mem: 31671 Epoch: [22] [2320/5278] eta: 2:08:01 lr: 2.3833819134450462e-05 loss: 0.0484 (0.0579) loss_seg: 0.0530 (0.0624) loss_lansim: 0.0836 (0.0843) loss_contra: 0.0000 (0.0037) time: 2.5878 data: 0.0026 max mem: 31671 Epoch: [22] [2330/5278] eta: 2:07:35 lr: 2.3831504734512502e-05 loss: 0.0484 (0.0579) loss_seg: 0.0530 (0.0623) loss_lansim: 0.0817 (0.0842) loss_contra: 0.0000 (0.0036) time: 2.5847 data: 0.0026 max mem: 31671 Epoch: [22] [2340/5278] eta: 2:07:08 lr: 2.382919030960058e-05 loss: 0.0486 (0.0580) loss_seg: 0.0532 (0.0624) loss_lansim: 0.0828 (0.0842) loss_contra: 0.0000 (0.0036) time: 2.5732 data: 0.0026 max mem: 31671 Epoch: [22] [2350/5278] eta: 2:06:42 lr: 2.3826875859711725e-05 loss: 0.0495 (0.0580) loss_seg: 0.0539 (0.0624) loss_lansim: 0.0817 (0.0842) loss_contra: 0.0000 (0.0036) time: 2.5721 data: 0.0026 max mem: 31671 Epoch: [22] [2360/5278] eta: 2:06:16 lr: 2.3824561384842978e-05 loss: 0.0495 (0.0579) loss_seg: 0.0539 (0.0624) loss_lansim: 0.0816 (0.0841) loss_contra: 0.0000 (0.0036) time: 2.5723 data: 0.0026 max mem: 31671 Epoch: [22] [2370/5278] eta: 2:05:49 lr: 2.3822246884991363e-05 loss: 0.0499 (0.0579) loss_seg: 0.0543 (0.0623) loss_lansim: 0.0816 (0.0841) loss_contra: 0.0000 (0.0036) time: 2.5682 data: 0.0026 max mem: 31671 Epoch: [22] [2380/5278] eta: 2:05:24 lr: 2.381993236015392e-05 loss: 0.0495 (0.0579) loss_seg: 0.0541 (0.0623) loss_lansim: 0.0780 (0.0841) loss_contra: 0.0000 (0.0036) time: 2.5750 data: 0.0026 max mem: 31671 Epoch: [22] [2390/5278] eta: 2:04:59 lr: 2.3817617810327676e-05 loss: 0.0491 (0.0578) loss_seg: 0.0532 (0.0622) loss_lansim: 0.0778 (0.0841) loss_contra: 0.0000 (0.0036) time: 2.5836 data: 0.0026 max mem: 31671 Epoch: [22] [2400/5278] eta: 2:04:33 lr: 2.3815303235509675e-05 loss: 0.0492 (0.0578) loss_seg: 0.0535 (0.0622) loss_lansim: 0.0777 (0.0840) loss_contra: 0.0000 (0.0036) time: 2.5942 data: 0.0027 max mem: 31671 Epoch: [22] [2410/5278] eta: 2:04:07 lr: 2.3812988635696934e-05 loss: 0.0491 (0.0578) loss_seg: 0.0521 (0.0622) loss_lansim: 0.0775 (0.0840) loss_contra: 0.0001 (0.0036) time: 2.5939 data: 0.0027 max mem: 31671 Epoch: [22] [2420/5278] eta: 2:03:41 lr: 2.3810674010886492e-05 loss: 0.0488 (0.0578) loss_seg: 0.0512 (0.0622) loss_lansim: 0.0758 (0.0839) loss_contra: 0.0000 (0.0036) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [22] [2430/5278] eta: 2:03:15 lr: 2.3808359361075375e-05 loss: 0.0488 (0.0581) loss_seg: 0.0512 (0.0625) loss_lansim: 0.0761 (0.0839) loss_contra: 0.0001 (0.0035) time: 2.5940 data: 0.0026 max mem: 31671 Epoch: [22] [2440/5278] eta: 2:02:49 lr: 2.380604468626062e-05 loss: 0.0475 (0.0581) loss_seg: 0.0512 (0.0626) loss_lansim: 0.0758 (0.0839) loss_contra: 0.0000 (0.0035) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [22] [2450/5278] eta: 2:02:23 lr: 2.3803729986439242e-05 loss: 0.0473 (0.0581) loss_seg: 0.0512 (0.0625) loss_lansim: 0.0758 (0.0838) loss_contra: 0.0001 (0.0035) time: 2.6068 data: 0.0026 max mem: 31671 Epoch: [22] [2460/5278] eta: 2:01:57 lr: 2.380141526160828e-05 loss: 0.0465 (0.0580) loss_seg: 0.0507 (0.0625) loss_lansim: 0.0758 (0.0838) loss_contra: 0.0001 (0.0035) time: 2.6044 data: 0.0026 max mem: 31671 Epoch: [22] [2470/5278] eta: 2:01:32 lr: 2.3799100511764758e-05 loss: 0.0458 (0.0580) loss_seg: 0.0492 (0.0625) loss_lansim: 0.0758 (0.0838) loss_contra: 0.0000 (0.0035) time: 2.6174 data: 0.0026 max mem: 31671 Epoch: [22] [2480/5278] eta: 2:01:06 lr: 2.379678573690571e-05 loss: 0.0465 (0.0580) loss_seg: 0.0507 (0.0624) loss_lansim: 0.0765 (0.0838) loss_contra: 0.0001 (0.0035) time: 2.6096 data: 0.0026 max mem: 31671 Epoch: [22] [2490/5278] eta: 2:00:40 lr: 2.3794470937028143e-05 loss: 0.0465 (0.0580) loss_seg: 0.0507 (0.0624) loss_lansim: 0.0760 (0.0838) loss_contra: 0.0000 (0.0035) time: 2.6069 data: 0.0026 max mem: 31671 Epoch: [22] [2500/5278] eta: 2:00:13 lr: 2.37921561121291e-05 loss: 0.0493 (0.0580) loss_seg: 0.0510 (0.0624) loss_lansim: 0.0761 (0.0838) loss_contra: 0.0000 (0.0035) time: 2.5954 data: 0.0026 max mem: 31671 Epoch: [22] [2510/5278] eta: 1:59:47 lr: 2.3789841262205594e-05 loss: 0.0503 (0.0580) loss_seg: 0.0545 (0.0624) loss_lansim: 0.0774 (0.0838) loss_contra: 0.0000 (0.0035) time: 2.5900 data: 0.0026 max mem: 31671 Epoch: [22] [2520/5278] eta: 1:59:20 lr: 2.3787526387254664e-05 loss: 0.0496 (0.0579) loss_seg: 0.0536 (0.0624) loss_lansim: 0.0774 (0.0838) loss_contra: 0.0000 (0.0035) time: 2.5884 data: 0.0026 max mem: 31671 Epoch: [22] [2530/5278] eta: 1:58:54 lr: 2.3785211487273315e-05 loss: 0.0488 (0.0579) loss_seg: 0.0513 (0.0623) loss_lansim: 0.0770 (0.0837) loss_contra: 0.0000 (0.0034) time: 2.5829 data: 0.0026 max mem: 31671 Epoch: [22] [2540/5278] eta: 1:58:27 lr: 2.3782896562258578e-05 loss: 0.0487 (0.0580) loss_seg: 0.0507 (0.0625) loss_lansim: 0.0756 (0.0837) loss_contra: 0.0000 (0.0035) time: 2.5789 data: 0.0026 max mem: 31671 Epoch: [22] [2550/5278] eta: 1:58:01 lr: 2.3780581612207474e-05 loss: 0.0472 (0.0580) loss_seg: 0.0506 (0.0625) loss_lansim: 0.0756 (0.0837) loss_contra: 0.0000 (0.0035) time: 2.5733 data: 0.0025 max mem: 31671 Epoch: [22] [2560/5278] eta: 1:57:34 lr: 2.3778266637117034e-05 loss: 0.0493 (0.0580) loss_seg: 0.0527 (0.0625) loss_lansim: 0.0753 (0.0836) loss_contra: 0.0000 (0.0035) time: 2.5650 data: 0.0025 max mem: 31671 Epoch: [22] [2570/5278] eta: 1:57:08 lr: 2.377595163698426e-05 loss: 0.0493 (0.0580) loss_seg: 0.0527 (0.0625) loss_lansim: 0.0753 (0.0836) loss_contra: 0.0000 (0.0034) time: 2.5587 data: 0.0025 max mem: 31671 Epoch: [22] [2580/5278] eta: 1:56:42 lr: 2.3773636611806183e-05 loss: 0.0487 (0.0580) loss_seg: 0.0527 (0.0624) loss_lansim: 0.0751 (0.0836) loss_contra: 0.0000 (0.0034) time: 2.5549 data: 0.0025 max mem: 31671 Epoch: [22] [2590/5278] eta: 1:56:16 lr: 2.3771321561579816e-05 loss: 0.0487 (0.0579) loss_seg: 0.0527 (0.0623) loss_lansim: 0.0751 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [22] [2600/5278] eta: 1:55:49 lr: 2.376900648630219e-05 loss: 0.0479 (0.0579) loss_seg: 0.0522 (0.0623) loss_lansim: 0.0756 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5509 data: 0.0025 max mem: 31671 Epoch: [22] [2610/5278] eta: 1:55:22 lr: 2.3766691385970315e-05 loss: 0.0472 (0.0579) loss_seg: 0.0506 (0.0623) loss_lansim: 0.0754 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5474 data: 0.0025 max mem: 31671 Epoch: [22] [2620/5278] eta: 1:54:56 lr: 2.3764376260581202e-05 loss: 0.0474 (0.0579) loss_seg: 0.0521 (0.0623) loss_lansim: 0.0766 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [22] [2630/5278] eta: 1:54:29 lr: 2.3762061110131875e-05 loss: 0.0474 (0.0578) loss_seg: 0.0521 (0.0623) loss_lansim: 0.0766 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [22] [2640/5278] eta: 1:54:02 lr: 2.3759745934619344e-05 loss: 0.0472 (0.0578) loss_seg: 0.0512 (0.0622) loss_lansim: 0.0780 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [22] [2650/5278] eta: 1:53:36 lr: 2.375743073404064e-05 loss: 0.0474 (0.0578) loss_seg: 0.0512 (0.0622) loss_lansim: 0.0780 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [22] [2660/5278] eta: 1:53:10 lr: 2.3755115508392756e-05 loss: 0.0468 (0.0578) loss_seg: 0.0498 (0.0622) loss_lansim: 0.0789 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5460 data: 0.0025 max mem: 31671 Epoch: [22] [2670/5278] eta: 1:52:43 lr: 2.3752800257672712e-05 loss: 0.0465 (0.0578) loss_seg: 0.0480 (0.0622) loss_lansim: 0.0789 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5452 data: 0.0025 max mem: 31671 Epoch: [22] [2680/5278] eta: 1:52:17 lr: 2.375048498187753e-05 loss: 0.0468 (0.0577) loss_seg: 0.0498 (0.0622) loss_lansim: 0.0795 (0.0835) loss_contra: 0.0000 (0.0034) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [22] [2690/5278] eta: 1:51:51 lr: 2.374816968100422e-05 loss: 0.0468 (0.0577) loss_seg: 0.0504 (0.0621) loss_lansim: 0.0795 (0.0834) loss_contra: 0.0000 (0.0033) time: 2.5450 data: 0.0025 max mem: 31671 Epoch: [22] [2700/5278] eta: 1:51:26 lr: 2.3745854355049784e-05 loss: 0.0467 (0.0577) loss_seg: 0.0504 (0.0621) loss_lansim: 0.0787 (0.0834) loss_contra: 0.0000 (0.0033) time: 2.5537 data: 0.0025 max mem: 31671 Epoch: [22] [2710/5278] eta: 1:50:59 lr: 2.374353900401124e-05 loss: 0.0462 (0.0577) loss_seg: 0.0487 (0.0621) loss_lansim: 0.0781 (0.0834) loss_contra: 0.0000 (0.0034) time: 2.5532 data: 0.0025 max mem: 31671 Epoch: [22] [2720/5278] eta: 1:50:33 lr: 2.3741223627885593e-05 loss: 0.0467 (0.0577) loss_seg: 0.0488 (0.0621) loss_lansim: 0.0781 (0.0834) loss_contra: 0.0000 (0.0034) time: 2.5561 data: 0.0024 max mem: 31671 Epoch: [22] [2730/5278] eta: 1:50:06 lr: 2.3738908226669868e-05 loss: 0.0474 (0.0577) loss_seg: 0.0504 (0.0621) loss_lansim: 0.0781 (0.0833) loss_contra: 0.0000 (0.0033) time: 2.5542 data: 0.0024 max mem: 31671 Epoch: [22] [2740/5278] eta: 1:49:39 lr: 2.3736592800361056e-05 loss: 0.0468 (0.0577) loss_seg: 0.0498 (0.0621) loss_lansim: 0.0773 (0.0833) loss_contra: 0.0000 (0.0033) time: 2.5595 data: 0.0024 max mem: 31671 Epoch: [22] [2750/5278] eta: 1:49:12 lr: 2.3734277348956173e-05 loss: 0.0455 (0.0576) loss_seg: 0.0488 (0.0620) loss_lansim: 0.0773 (0.0833) loss_contra: 0.0000 (0.0033) time: 2.5506 data: 0.0024 max mem: 31671 Epoch: [22] [2760/5278] eta: 1:48:46 lr: 2.3731961872452226e-05 loss: 0.0449 (0.0576) loss_seg: 0.0488 (0.0620) loss_lansim: 0.0769 (0.0833) loss_contra: 0.0000 (0.0033) time: 2.5430 data: 0.0024 max mem: 31671 Epoch: [22] [2770/5278] eta: 1:48:20 lr: 2.3729646370846223e-05 loss: 0.0452 (0.0576) loss_seg: 0.0493 (0.0620) loss_lansim: 0.0757 (0.0832) loss_contra: 0.0000 (0.0034) time: 2.5494 data: 0.0024 max mem: 31671 Epoch: [22] [2780/5278] eta: 1:47:54 lr: 2.3727330844135167e-05 loss: 0.0449 (0.0575) loss_seg: 0.0487 (0.0619) loss_lansim: 0.0757 (0.0832) loss_contra: 0.0000 (0.0034) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [22] [2790/5278] eta: 1:47:27 lr: 2.3725015292316066e-05 loss: 0.0452 (0.0575) loss_seg: 0.0493 (0.0619) loss_lansim: 0.0757 (0.0832) loss_contra: 0.0000 (0.0033) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [22] [2800/5278] eta: 1:47:00 lr: 2.3722699715385924e-05 loss: 0.0449 (0.0575) loss_seg: 0.0474 (0.0620) loss_lansim: 0.0765 (0.0832) loss_contra: 0.0000 (0.0033) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [22] [2810/5278] eta: 1:46:34 lr: 2.372038411334175e-05 loss: 0.0450 (0.0575) loss_seg: 0.0474 (0.0619) loss_lansim: 0.0771 (0.0832) loss_contra: 0.0000 (0.0033) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [22] [2820/5278] eta: 1:46:07 lr: 2.371806848618054e-05 loss: 0.0452 (0.0575) loss_seg: 0.0493 (0.0619) loss_lansim: 0.0773 (0.0832) loss_contra: 0.0000 (0.0033) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [22] [2830/5278] eta: 1:45:41 lr: 2.3715752833899298e-05 loss: 0.0452 (0.0575) loss_seg: 0.0493 (0.0620) loss_lansim: 0.0773 (0.0831) loss_contra: 0.0000 (0.0033) time: 2.5341 data: 0.0026 max mem: 31671 Epoch: [22] [2840/5278] eta: 1:45:16 lr: 2.371343715649503e-05 loss: 0.0458 (0.0576) loss_seg: 0.0501 (0.0620) loss_lansim: 0.0771 (0.0831) loss_contra: 0.0000 (0.0033) time: 2.5440 data: 0.0026 max mem: 31671 Epoch: [22] [2850/5278] eta: 1:44:50 lr: 2.3711121453964735e-05 loss: 0.0474 (0.0576) loss_seg: 0.0501 (0.0620) loss_lansim: 0.0765 (0.0831) loss_contra: 0.0000 (0.0033) time: 2.5500 data: 0.0026 max mem: 31671 Epoch: [22] [2860/5278] eta: 1:44:23 lr: 2.370880572630542e-05 loss: 0.0507 (0.0576) loss_seg: 0.0521 (0.0620) loss_lansim: 0.0765 (0.0831) loss_contra: 0.0000 (0.0033) time: 2.5491 data: 0.0026 max mem: 31671 Epoch: [22] [2870/5278] eta: 1:43:57 lr: 2.3706489973514073e-05 loss: 0.0474 (0.0575) loss_seg: 0.0507 (0.0619) loss_lansim: 0.0771 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5433 data: 0.0026 max mem: 31671 Epoch: [22] [2880/5278] eta: 1:43:30 lr: 2.37041741955877e-05 loss: 0.0507 (0.0575) loss_seg: 0.0531 (0.0619) loss_lansim: 0.0771 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5436 data: 0.0026 max mem: 31671 Epoch: [22] [2890/5278] eta: 1:43:04 lr: 2.37018583925233e-05 loss: 0.0474 (0.0575) loss_seg: 0.0510 (0.0619) loss_lansim: 0.0771 (0.0831) loss_contra: 0.0000 (0.0034) time: 2.5423 data: 0.0026 max mem: 31671 Epoch: [22] [2900/5278] eta: 1:42:38 lr: 2.3699542564317877e-05 loss: 0.0474 (0.0575) loss_seg: 0.0510 (0.0619) loss_lansim: 0.0772 (0.0831) loss_contra: 0.0000 (0.0034) time: 2.5496 data: 0.0026 max mem: 31671 Epoch: [22] [2910/5278] eta: 1:42:12 lr: 2.3697226710968412e-05 loss: 0.0507 (0.0575) loss_seg: 0.0521 (0.0619) loss_lansim: 0.0778 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [22] [2920/5278] eta: 1:41:46 lr: 2.369491083247192e-05 loss: 0.0460 (0.0575) loss_seg: 0.0507 (0.0619) loss_lansim: 0.0778 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5570 data: 0.0025 max mem: 31671 Epoch: [22] [2930/5278] eta: 1:41:19 lr: 2.369259492882538e-05 loss: 0.0458 (0.0575) loss_seg: 0.0487 (0.0619) loss_lansim: 0.0786 (0.0831) loss_contra: 0.0000 (0.0034) time: 2.5528 data: 0.0025 max mem: 31671 Epoch: [22] [2940/5278] eta: 1:40:53 lr: 2.3690279000025806e-05 loss: 0.0437 (0.0575) loss_seg: 0.0468 (0.0619) loss_lansim: 0.0790 (0.0831) loss_contra: 0.0000 (0.0034) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [22] [2950/5278] eta: 1:40:27 lr: 2.3687963046070176e-05 loss: 0.0437 (0.0575) loss_seg: 0.0480 (0.0619) loss_lansim: 0.0809 (0.0831) loss_contra: 0.0000 (0.0034) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [22] [2960/5278] eta: 1:40:01 lr: 2.368564706695549e-05 loss: 0.0437 (0.0575) loss_seg: 0.0480 (0.0619) loss_lansim: 0.0814 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5520 data: 0.0024 max mem: 31671 Epoch: [22] [2970/5278] eta: 1:39:34 lr: 2.368333106267874e-05 loss: 0.0475 (0.0575) loss_seg: 0.0514 (0.0619) loss_lansim: 0.0815 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5449 data: 0.0024 max mem: 31671 Epoch: [22] [2980/5278] eta: 1:39:08 lr: 2.368101503323693e-05 loss: 0.0475 (0.0575) loss_seg: 0.0514 (0.0620) loss_lansim: 0.0809 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5431 data: 0.0024 max mem: 31671 Epoch: [22] [2990/5278] eta: 1:38:42 lr: 2.3678698978627033e-05 loss: 0.0496 (0.0576) loss_seg: 0.0529 (0.0620) loss_lansim: 0.0809 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5479 data: 0.0024 max mem: 31671 Epoch: [22] [3000/5278] eta: 1:38:15 lr: 2.367638289884605e-05 loss: 0.0512 (0.0576) loss_seg: 0.0538 (0.0620) loss_lansim: 0.0803 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5443 data: 0.0024 max mem: 31671 Epoch: [22] [3010/5278] eta: 1:37:49 lr: 2.3674066793890972e-05 loss: 0.0507 (0.0576) loss_seg: 0.0536 (0.0620) loss_lansim: 0.0805 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5354 data: 0.0024 max mem: 31671 Epoch: [22] [3020/5278] eta: 1:37:23 lr: 2.3671750663758795e-05 loss: 0.0491 (0.0575) loss_seg: 0.0525 (0.0619) loss_lansim: 0.0803 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5356 data: 0.0024 max mem: 31671 Epoch: [22] [3030/5278] eta: 1:36:57 lr: 2.3669434508446492e-05 loss: 0.0473 (0.0574) loss_seg: 0.0514 (0.0618) loss_lansim: 0.0792 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5383 data: 0.0024 max mem: 31671 Epoch: [22] [3040/5278] eta: 1:36:30 lr: 2.366711832795106e-05 loss: 0.0477 (0.0574) loss_seg: 0.0514 (0.0618) loss_lansim: 0.0792 (0.0830) loss_contra: 0.0000 (0.0035) time: 2.5405 data: 0.0024 max mem: 31671 Epoch: [22] [3050/5278] eta: 1:36:04 lr: 2.366480212226949e-05 loss: 0.0465 (0.0574) loss_seg: 0.0506 (0.0618) loss_lansim: 0.0789 (0.0830) loss_contra: 0.0000 (0.0035) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [22] [3060/5278] eta: 1:35:38 lr: 2.366248589139877e-05 loss: 0.0439 (0.0574) loss_seg: 0.0483 (0.0617) loss_lansim: 0.0792 (0.0830) loss_contra: 0.0000 (0.0035) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [22] [3070/5278] eta: 1:35:12 lr: 2.3660169635335876e-05 loss: 0.0435 (0.0574) loss_seg: 0.0480 (0.0617) loss_lansim: 0.0792 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [22] [3080/5278] eta: 1:34:45 lr: 2.36578533540778e-05 loss: 0.0424 (0.0573) loss_seg: 0.0465 (0.0617) loss_lansim: 0.0792 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [22] [3090/5278] eta: 1:34:19 lr: 2.3655537047621526e-05 loss: 0.0396 (0.0573) loss_seg: 0.0426 (0.0617) loss_lansim: 0.0792 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [22] [3100/5278] eta: 1:33:52 lr: 2.3653220715964042e-05 loss: 0.0396 (0.0573) loss_seg: 0.0426 (0.0617) loss_lansim: 0.0812 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [22] [3110/5278] eta: 1:33:26 lr: 2.3650904359102334e-05 loss: 0.0412 (0.0573) loss_seg: 0.0445 (0.0617) loss_lansim: 0.0821 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5337 data: 0.0025 max mem: 31671 Epoch: [22] [3120/5278] eta: 1:33:00 lr: 2.3648587977033372e-05 loss: 0.0416 (0.0572) loss_seg: 0.0446 (0.0616) loss_lansim: 0.0822 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [22] [3130/5278] eta: 1:32:34 lr: 2.3646271569754145e-05 loss: 0.0427 (0.0572) loss_seg: 0.0465 (0.0616) loss_lansim: 0.0822 (0.0830) loss_contra: 0.0001 (0.0034) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [22] [3140/5278] eta: 1:32:07 lr: 2.364395513726164e-05 loss: 0.0435 (0.0573) loss_seg: 0.0468 (0.0617) loss_lansim: 0.0822 (0.0830) loss_contra: 0.0001 (0.0035) time: 2.5232 data: 0.0025 max mem: 31671 Epoch: [22] [3150/5278] eta: 1:31:41 lr: 2.3641638679552837e-05 loss: 0.0439 (0.0572) loss_seg: 0.0480 (0.0616) loss_lansim: 0.0822 (0.0830) loss_contra: 0.0001 (0.0035) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [22] [3160/5278] eta: 1:31:15 lr: 2.363932219662471e-05 loss: 0.0431 (0.0572) loss_seg: 0.0454 (0.0615) loss_lansim: 0.0821 (0.0830) loss_contra: 0.0000 (0.0035) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [22] [3170/5278] eta: 1:30:49 lr: 2.3637005688474235e-05 loss: 0.0431 (0.0572) loss_seg: 0.0454 (0.0615) loss_lansim: 0.0817 (0.0830) loss_contra: 0.0000 (0.0034) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [22] [3180/5278] eta: 1:30:23 lr: 2.3634689155098403e-05 loss: 0.0427 (0.0571) loss_seg: 0.0454 (0.0615) loss_lansim: 0.0817 (0.0829) loss_contra: 0.0000 (0.0034) time: 2.5327 data: 0.0026 max mem: 31671 Epoch: [22] [3190/5278] eta: 1:29:56 lr: 2.363237259649419e-05 loss: 0.0460 (0.0571) loss_seg: 0.0509 (0.0614) loss_lansim: 0.0815 (0.0829) loss_contra: 0.0000 (0.0034) time: 2.5249 data: 0.0026 max mem: 31671 Epoch: [22] [3200/5278] eta: 1:29:30 lr: 2.363005601265856e-05 loss: 0.0460 (0.0571) loss_seg: 0.0501 (0.0614) loss_lansim: 0.0803 (0.0829) loss_contra: 0.0000 (0.0034) time: 2.5424 data: 0.0026 max mem: 31671 Epoch: [22] [3210/5278] eta: 1:29:04 lr: 2.3627739403588503e-05 loss: 0.0443 (0.0571) loss_seg: 0.0484 (0.0614) loss_lansim: 0.0800 (0.0829) loss_contra: 0.0000 (0.0034) time: 2.5289 data: 0.0026 max mem: 31671 Epoch: [22] [3220/5278] eta: 1:28:38 lr: 2.362542276928099e-05 loss: 0.0464 (0.0571) loss_seg: 0.0509 (0.0614) loss_lansim: 0.0768 (0.0829) loss_contra: 0.0000 (0.0035) time: 2.5328 data: 0.0026 max mem: 31671 Epoch: [22] [3230/5278] eta: 1:28:12 lr: 2.3623106109733004e-05 loss: 0.0443 (0.0571) loss_seg: 0.0484 (0.0614) loss_lansim: 0.0768 (0.0829) loss_contra: 0.0000 (0.0035) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [22] [3240/5278] eta: 1:27:45 lr: 2.3620789424941504e-05 loss: 0.0442 (0.0571) loss_seg: 0.0474 (0.0614) loss_lansim: 0.0768 (0.0829) loss_contra: 0.0000 (0.0035) time: 2.5345 data: 0.0026 max mem: 31671 Epoch: [22] [3250/5278] eta: 1:27:19 lr: 2.361847271490348e-05 loss: 0.0443 (0.0571) loss_seg: 0.0484 (0.0614) loss_lansim: 0.0761 (0.0829) loss_contra: 0.0001 (0.0035) time: 2.5290 data: 0.0026 max mem: 31671 Epoch: [22] [3260/5278] eta: 1:26:52 lr: 2.3616155979615894e-05 loss: 0.0460 (0.0570) loss_seg: 0.0505 (0.0614) loss_lansim: 0.0761 (0.0829) loss_contra: 0.0001 (0.0035) time: 2.5116 data: 0.0026 max mem: 31671 Epoch: [22] [3270/5278] eta: 1:26:26 lr: 2.3613839219075725e-05 loss: 0.0464 (0.0571) loss_seg: 0.0508 (0.0614) loss_lansim: 0.0768 (0.0829) loss_contra: 0.0001 (0.0035) time: 2.5112 data: 0.0025 max mem: 31671 Epoch: [22] [3280/5278] eta: 1:26:00 lr: 2.3611522433279944e-05 loss: 0.0483 (0.0571) loss_seg: 0.0522 (0.0614) loss_lansim: 0.0768 (0.0828) loss_contra: 0.0001 (0.0035) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [22] [3290/5278] eta: 1:25:34 lr: 2.3609205622225515e-05 loss: 0.0475 (0.0570) loss_seg: 0.0505 (0.0614) loss_lansim: 0.0767 (0.0828) loss_contra: 0.0001 (0.0035) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [22] [3300/5278] eta: 1:25:08 lr: 2.3606888785909416e-05 loss: 0.0458 (0.0570) loss_seg: 0.0491 (0.0614) loss_lansim: 0.0762 (0.0828) loss_contra: 0.0000 (0.0034) time: 2.5129 data: 0.0024 max mem: 31671 Epoch: [22] [3310/5278] eta: 1:24:41 lr: 2.3604571924328622e-05 loss: 0.0445 (0.0570) loss_seg: 0.0474 (0.0613) loss_lansim: 0.0759 (0.0828) loss_contra: 0.0001 (0.0034) time: 2.5181 data: 0.0024 max mem: 31671 Epoch: [22] [3320/5278] eta: 1:24:15 lr: 2.360225503748009e-05 loss: 0.0440 (0.0569) loss_seg: 0.0472 (0.0613) loss_lansim: 0.0762 (0.0828) loss_contra: 0.0001 (0.0034) time: 2.5111 data: 0.0024 max mem: 31671 Epoch: [22] [3330/5278] eta: 1:23:49 lr: 2.3599938125360793e-05 loss: 0.0440 (0.0569) loss_seg: 0.0472 (0.0613) loss_lansim: 0.0765 (0.0828) loss_contra: 0.0001 (0.0034) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [22] [3340/5278] eta: 1:23:23 lr: 2.3597621187967697e-05 loss: 0.0429 (0.0569) loss_seg: 0.0466 (0.0613) loss_lansim: 0.0764 (0.0828) loss_contra: 0.0001 (0.0034) time: 2.5192 data: 0.0024 max mem: 31671 Epoch: [22] [3350/5278] eta: 1:22:57 lr: 2.3595304225297776e-05 loss: 0.0441 (0.0569) loss_seg: 0.0479 (0.0613) loss_lansim: 0.0767 (0.0828) loss_contra: 0.0000 (0.0035) time: 2.5248 data: 0.0024 max mem: 31671 Epoch: [22] [3360/5278] eta: 1:22:31 lr: 2.3592987237347994e-05 loss: 0.0440 (0.0569) loss_seg: 0.0471 (0.0612) loss_lansim: 0.0764 (0.0827) loss_contra: 0.0000 (0.0035) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [22] [3370/5278] eta: 1:22:05 lr: 2.359067022411531e-05 loss: 0.0435 (0.0569) loss_seg: 0.0471 (0.0612) loss_lansim: 0.0750 (0.0827) loss_contra: 0.0000 (0.0035) time: 2.5266 data: 0.0024 max mem: 31671 Epoch: [22] [3380/5278] eta: 1:21:38 lr: 2.3588353185596693e-05 loss: 0.0426 (0.0569) loss_seg: 0.0466 (0.0612) loss_lansim: 0.0757 (0.0827) loss_contra: 0.0001 (0.0035) time: 2.5201 data: 0.0024 max mem: 31671 Epoch: [22] [3390/5278] eta: 1:21:12 lr: 2.3586036121789107e-05 loss: 0.0435 (0.0568) loss_seg: 0.0466 (0.0612) loss_lansim: 0.0764 (0.0827) loss_contra: 0.0001 (0.0035) time: 2.5165 data: 0.0024 max mem: 31671 Epoch: [22] [3400/5278] eta: 1:20:46 lr: 2.3583719032689523e-05 loss: 0.0447 (0.0568) loss_seg: 0.0487 (0.0611) loss_lansim: 0.0765 (0.0827) loss_contra: 0.0001 (0.0035) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [22] [3410/5278] eta: 1:20:19 lr: 2.3581401918294887e-05 loss: 0.0451 (0.0568) loss_seg: 0.0491 (0.0611) loss_lansim: 0.0771 (0.0826) loss_contra: 0.0001 (0.0035) time: 2.5141 data: 0.0024 max mem: 31671 Epoch: [22] [3420/5278] eta: 1:19:53 lr: 2.3579084778602174e-05 loss: 0.0447 (0.0568) loss_seg: 0.0480 (0.0611) loss_lansim: 0.0761 (0.0826) loss_contra: 0.0001 (0.0036) time: 2.5073 data: 0.0025 max mem: 31671 Epoch: [22] [3430/5278] eta: 1:19:27 lr: 2.357676761360834e-05 loss: 0.0450 (0.0568) loss_seg: 0.0489 (0.0611) loss_lansim: 0.0749 (0.0826) loss_contra: 0.0001 (0.0036) time: 2.5030 data: 0.0025 max mem: 31671 Epoch: [22] [3440/5278] eta: 1:19:01 lr: 2.357445042331036e-05 loss: 0.0461 (0.0568) loss_seg: 0.0498 (0.0611) loss_lansim: 0.0749 (0.0826) loss_contra: 0.0001 (0.0036) time: 2.4975 data: 0.0025 max mem: 31671 Epoch: [22] [3450/5278] eta: 1:18:35 lr: 2.3572133207705172e-05 loss: 0.0467 (0.0568) loss_seg: 0.0513 (0.0611) loss_lansim: 0.0752 (0.0826) loss_contra: 0.0001 (0.0038) time: 2.5017 data: 0.0025 max mem: 31671 Epoch: [22] [3460/5278] eta: 1:18:09 lr: 2.3569815966789745e-05 loss: 0.0480 (0.0568) loss_seg: 0.0517 (0.0611) loss_lansim: 0.0771 (0.0826) loss_contra: 0.0002 (0.0038) time: 2.5006 data: 0.0025 max mem: 31671 Epoch: [22] [3470/5278] eta: 1:17:42 lr: 2.3567498700561037e-05 loss: 0.0469 (0.0568) loss_seg: 0.0516 (0.0611) loss_lansim: 0.0771 (0.0826) loss_contra: 0.0002 (0.0038) time: 2.5041 data: 0.0025 max mem: 31671 Epoch: [22] [3480/5278] eta: 1:17:16 lr: 2.3565181409016016e-05 loss: 0.0480 (0.0567) loss_seg: 0.0517 (0.0611) loss_lansim: 0.0771 (0.0826) loss_contra: 0.0002 (0.0038) time: 2.5032 data: 0.0025 max mem: 31671 Epoch: [22] [3490/5278] eta: 1:16:50 lr: 2.3562864092151624e-05 loss: 0.0469 (0.0568) loss_seg: 0.0513 (0.0612) loss_lansim: 0.0761 (0.0826) loss_contra: 0.0002 (0.0038) time: 2.5051 data: 0.0025 max mem: 31671 Epoch: [22] [3500/5278] eta: 1:16:24 lr: 2.3560546749964823e-05 loss: 0.0480 (0.0569) loss_seg: 0.0517 (0.0612) loss_lansim: 0.0772 (0.0825) loss_contra: 0.0002 (0.0040) time: 2.5104 data: 0.0025 max mem: 31671 Epoch: [22] [3510/5278] eta: 1:15:59 lr: 2.355822938245257e-05 loss: 0.0485 (0.0569) loss_seg: 0.0527 (0.0612) loss_lansim: 0.0773 (0.0825) loss_contra: 0.0003 (0.0040) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [22] [3520/5278] eta: 1:15:32 lr: 2.3555911989611827e-05 loss: 0.0480 (0.0569) loss_seg: 0.0527 (0.0612) loss_lansim: 0.0777 (0.0825) loss_contra: 0.0003 (0.0040) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [22] [3530/5278] eta: 1:15:06 lr: 2.3553594571439534e-05 loss: 0.0480 (0.0569) loss_seg: 0.0527 (0.0613) loss_lansim: 0.0779 (0.0825) loss_contra: 0.0003 (0.0039) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [22] [3540/5278] eta: 1:14:41 lr: 2.3551277127932654e-05 loss: 0.0503 (0.0570) loss_seg: 0.0553 (0.0613) loss_lansim: 0.0775 (0.0825) loss_contra: 0.0003 (0.0040) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [22] [3550/5278] eta: 1:14:15 lr: 2.3548959659088136e-05 loss: 0.0469 (0.0570) loss_seg: 0.0517 (0.0613) loss_lansim: 0.0777 (0.0825) loss_contra: 0.0002 (0.0040) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [22] [3560/5278] eta: 1:13:49 lr: 2.354664216490294e-05 loss: 0.0469 (0.0570) loss_seg: 0.0517 (0.0613) loss_lansim: 0.0778 (0.0825) loss_contra: 0.0002 (0.0040) time: 2.5382 data: 0.0025 max mem: 31671 Epoch: [22] [3570/5278] eta: 1:13:23 lr: 2.354432464537401e-05 loss: 0.0469 (0.0570) loss_seg: 0.0517 (0.0613) loss_lansim: 0.0779 (0.0825) loss_contra: 0.0002 (0.0039) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [22] [3580/5278] eta: 1:12:56 lr: 2.3542007100498296e-05 loss: 0.0469 (0.0569) loss_seg: 0.0517 (0.0613) loss_lansim: 0.0778 (0.0825) loss_contra: 0.0002 (0.0039) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [22] [3590/5278] eta: 1:12:30 lr: 2.3539689530272753e-05 loss: 0.0485 (0.0569) loss_seg: 0.0528 (0.0613) loss_lansim: 0.0785 (0.0825) loss_contra: 0.0002 (0.0039) time: 2.5405 data: 0.0024 max mem: 31671 Epoch: [22] [3600/5278] eta: 1:12:04 lr: 2.353737193469433e-05 loss: 0.0496 (0.0569) loss_seg: 0.0536 (0.0613) loss_lansim: 0.0788 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5241 data: 0.0024 max mem: 31671 Epoch: [22] [3610/5278] eta: 1:11:38 lr: 2.3535054313759976e-05 loss: 0.0479 (0.0569) loss_seg: 0.0528 (0.0613) loss_lansim: 0.0782 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5184 data: 0.0024 max mem: 31671 Epoch: [22] [3620/5278] eta: 1:11:12 lr: 2.3532736667466636e-05 loss: 0.0496 (0.0569) loss_seg: 0.0545 (0.0612) loss_lansim: 0.0782 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5249 data: 0.0024 max mem: 31671 Epoch: [22] [3630/5278] eta: 1:10:46 lr: 2.353041899581126e-05 loss: 0.0512 (0.0569) loss_seg: 0.0550 (0.0613) loss_lansim: 0.0778 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5210 data: 0.0024 max mem: 31671 Epoch: [22] [3640/5278] eta: 1:10:20 lr: 2.3528101298790793e-05 loss: 0.0496 (0.0570) loss_seg: 0.0536 (0.0613) loss_lansim: 0.0788 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [22] [3650/5278] eta: 1:09:54 lr: 2.3525783576402188e-05 loss: 0.0496 (0.0570) loss_seg: 0.0536 (0.0614) loss_lansim: 0.0782 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5275 data: 0.0024 max mem: 31671 Epoch: [22] [3660/5278] eta: 1:09:28 lr: 2.3523465828642378e-05 loss: 0.0496 (0.0570) loss_seg: 0.0536 (0.0614) loss_lansim: 0.0776 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5216 data: 0.0024 max mem: 31671 Epoch: [22] [3670/5278] eta: 1:09:03 lr: 2.3521148055508318e-05 loss: 0.0513 (0.0570) loss_seg: 0.0548 (0.0614) loss_lansim: 0.0778 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5319 data: 0.0024 max mem: 31671 Epoch: [22] [3680/5278] eta: 1:08:36 lr: 2.3518830256996946e-05 loss: 0.0512 (0.0570) loss_seg: 0.0548 (0.0614) loss_lansim: 0.0778 (0.0824) loss_contra: 0.0001 (0.0039) time: 2.5261 data: 0.0024 max mem: 31671 Epoch: [22] [3690/5278] eta: 1:08:11 lr: 2.3516512433105212e-05 loss: 0.0490 (0.0570) loss_seg: 0.0533 (0.0613) loss_lansim: 0.0778 (0.0824) loss_contra: 0.0000 (0.0039) time: 2.5331 data: 0.0024 max mem: 31671 Epoch: [22] [3700/5278] eta: 1:07:44 lr: 2.3514194583830052e-05 loss: 0.0483 (0.0570) loss_seg: 0.0529 (0.0613) loss_lansim: 0.0768 (0.0823) loss_contra: 0.0001 (0.0039) time: 2.5371 data: 0.0024 max mem: 31671 Epoch: [22] [3710/5278] eta: 1:07:18 lr: 2.3511876709168407e-05 loss: 0.0490 (0.0570) loss_seg: 0.0529 (0.0613) loss_lansim: 0.0774 (0.0823) loss_contra: 0.0000 (0.0039) time: 2.5259 data: 0.0024 max mem: 31671 Epoch: [22] [3720/5278] eta: 1:06:52 lr: 2.3509558809117223e-05 loss: 0.0490 (0.0570) loss_seg: 0.0529 (0.0613) loss_lansim: 0.0774 (0.0823) loss_contra: 0.0000 (0.0040) time: 2.5234 data: 0.0024 max mem: 31671 Epoch: [22] [3730/5278] eta: 1:06:26 lr: 2.350724088367344e-05 loss: 0.0478 (0.0570) loss_seg: 0.0514 (0.0613) loss_lansim: 0.0773 (0.0823) loss_contra: 0.0000 (0.0039) time: 2.5312 data: 0.0024 max mem: 31671 Epoch: [22] [3740/5278] eta: 1:06:00 lr: 2.3504922932833996e-05 loss: 0.0478 (0.0570) loss_seg: 0.0513 (0.0614) loss_lansim: 0.0768 (0.0823) loss_contra: 0.0001 (0.0039) time: 2.5246 data: 0.0024 max mem: 31671 Epoch: [22] [3750/5278] eta: 1:05:34 lr: 2.3502604956595824e-05 loss: 0.0464 (0.0570) loss_seg: 0.0509 (0.0613) loss_lansim: 0.0768 (0.0823) loss_contra: 0.0001 (0.0040) time: 2.5170 data: 0.0024 max mem: 31671 Epoch: [22] [3760/5278] eta: 1:05:08 lr: 2.3500286954955876e-05 loss: 0.0463 (0.0570) loss_seg: 0.0503 (0.0613) loss_lansim: 0.0768 (0.0822) loss_contra: 0.0001 (0.0040) time: 2.5049 data: 0.0024 max mem: 31671 Epoch: [22] [3770/5278] eta: 1:04:42 lr: 2.3497968927911082e-05 loss: 0.0459 (0.0570) loss_seg: 0.0501 (0.0613) loss_lansim: 0.0768 (0.0822) loss_contra: 0.0001 (0.0040) time: 2.5034 data: 0.0024 max mem: 31671 Epoch: [22] [3780/5278] eta: 1:04:16 lr: 2.3495650875458376e-05 loss: 0.0459 (0.0569) loss_seg: 0.0502 (0.0613) loss_lansim: 0.0769 (0.0822) loss_contra: 0.0001 (0.0040) time: 2.5060 data: 0.0024 max mem: 31671 Epoch: [22] [3790/5278] eta: 1:03:50 lr: 2.3493332797594695e-05 loss: 0.0466 (0.0569) loss_seg: 0.0511 (0.0613) loss_lansim: 0.0757 (0.0822) loss_contra: 0.0001 (0.0040) time: 2.5012 data: 0.0024 max mem: 31671 Epoch: [22] [3800/5278] eta: 1:03:24 lr: 2.349101469431698e-05 loss: 0.0463 (0.0571) loss_seg: 0.0509 (0.0614) loss_lansim: 0.0770 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5077 data: 0.0024 max mem: 31671 Epoch: [22] [3810/5278] eta: 1:02:58 lr: 2.3488696565622165e-05 loss: 0.0463 (0.0571) loss_seg: 0.0511 (0.0615) loss_lansim: 0.0777 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5133 data: 0.0024 max mem: 31671 Epoch: [22] [3820/5278] eta: 1:02:32 lr: 2.348637841150718e-05 loss: 0.0503 (0.0571) loss_seg: 0.0556 (0.0615) loss_lansim: 0.0783 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5067 data: 0.0024 max mem: 31671 Epoch: [22] [3830/5278] eta: 1:02:06 lr: 2.3484060231968956e-05 loss: 0.0497 (0.0571) loss_seg: 0.0549 (0.0615) loss_lansim: 0.0783 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5072 data: 0.0024 max mem: 31671 Epoch: [22] [3840/5278] eta: 1:01:40 lr: 2.3481742027004434e-05 loss: 0.0503 (0.0572) loss_seg: 0.0556 (0.0615) loss_lansim: 0.0785 (0.0822) loss_contra: 0.0002 (0.0041) time: 2.5010 data: 0.0024 max mem: 31671 Epoch: [22] [3850/5278] eta: 1:01:14 lr: 2.3479423796610537e-05 loss: 0.0511 (0.0572) loss_seg: 0.0563 (0.0615) loss_lansim: 0.0784 (0.0822) loss_contra: 0.0002 (0.0041) time: 2.5100 data: 0.0024 max mem: 31671 Epoch: [22] [3860/5278] eta: 1:00:48 lr: 2.3477105540784207e-05 loss: 0.0503 (0.0572) loss_seg: 0.0556 (0.0615) loss_lansim: 0.0785 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5209 data: 0.0024 max mem: 31671 Epoch: [22] [3870/5278] eta: 1:00:23 lr: 2.3474787259522366e-05 loss: 0.0519 (0.0571) loss_seg: 0.0549 (0.0614) loss_lansim: 0.0784 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [22] [3880/5278] eta: 0:59:57 lr: 2.3472468952821947e-05 loss: 0.0519 (0.0571) loss_seg: 0.0563 (0.0614) loss_lansim: 0.0793 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5262 data: 0.0024 max mem: 31671 Epoch: [22] [3890/5278] eta: 0:59:31 lr: 2.3470150620679876e-05 loss: 0.0517 (0.0571) loss_seg: 0.0549 (0.0614) loss_lansim: 0.0798 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [22] [3900/5278] eta: 0:59:05 lr: 2.346783226309309e-05 loss: 0.0524 (0.0571) loss_seg: 0.0567 (0.0614) loss_lansim: 0.0797 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [22] [3910/5278] eta: 0:58:39 lr: 2.3465513880058504e-05 loss: 0.0511 (0.0571) loss_seg: 0.0546 (0.0614) loss_lansim: 0.0784 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [22] [3920/5278] eta: 0:58:13 lr: 2.3463195471573056e-05 loss: 0.0496 (0.0570) loss_seg: 0.0527 (0.0614) loss_lansim: 0.0772 (0.0822) loss_contra: 0.0001 (0.0040) time: 2.5215 data: 0.0025 max mem: 31671 Epoch: [22] [3930/5278] eta: 0:57:47 lr: 2.3460877037633665e-05 loss: 0.0496 (0.0570) loss_seg: 0.0533 (0.0613) loss_lansim: 0.0772 (0.0822) loss_contra: 0.0001 (0.0041) time: 2.5154 data: 0.0025 max mem: 31671 Epoch: [22] [3940/5278] eta: 0:57:21 lr: 2.3458558578237265e-05 loss: 0.0461 (0.0570) loss_seg: 0.0490 (0.0613) loss_lansim: 0.0770 (0.0821) loss_contra: 0.0000 (0.0041) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [22] [3950/5278] eta: 0:56:56 lr: 2.3456240093380768e-05 loss: 0.0454 (0.0569) loss_seg: 0.0484 (0.0612) loss_lansim: 0.0772 (0.0821) loss_contra: 0.0000 (0.0041) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [22] [3960/5278] eta: 0:56:30 lr: 2.345392158306111e-05 loss: 0.0461 (0.0569) loss_seg: 0.0490 (0.0613) loss_lansim: 0.0776 (0.0821) loss_contra: 0.0000 (0.0041) time: 2.5293 data: 0.0026 max mem: 31671 Epoch: [22] [3970/5278] eta: 0:56:04 lr: 2.3451603047275205e-05 loss: 0.0456 (0.0569) loss_seg: 0.0484 (0.0613) loss_lansim: 0.0789 (0.0821) loss_contra: 0.0000 (0.0041) time: 2.5303 data: 0.0026 max mem: 31671 Epoch: [22] [3980/5278] eta: 0:55:38 lr: 2.344928448601999e-05 loss: 0.0446 (0.0570) loss_seg: 0.0479 (0.0613) loss_lansim: 0.0777 (0.0821) loss_contra: 0.0000 (0.0040) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [22] [3990/5278] eta: 0:55:12 lr: 2.344696589929237e-05 loss: 0.0436 (0.0569) loss_seg: 0.0473 (0.0612) loss_lansim: 0.0773 (0.0821) loss_contra: 0.0001 (0.0040) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [22] [4000/5278] eta: 0:54:46 lr: 2.344464728708928e-05 loss: 0.0435 (0.0569) loss_seg: 0.0466 (0.0612) loss_lansim: 0.0777 (0.0821) loss_contra: 0.0001 (0.0040) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [22] [4010/5278] eta: 0:54:21 lr: 2.344232864940763e-05 loss: 0.0442 (0.0569) loss_seg: 0.0473 (0.0612) loss_lansim: 0.0772 (0.0821) loss_contra: 0.0001 (0.0040) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [22] [4020/5278] eta: 0:53:55 lr: 2.3440009986244347e-05 loss: 0.0445 (0.0569) loss_seg: 0.0481 (0.0612) loss_lansim: 0.0781 (0.0821) loss_contra: 0.0001 (0.0040) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [22] [4030/5278] eta: 0:53:29 lr: 2.3437691297596352e-05 loss: 0.0445 (0.0569) loss_seg: 0.0481 (0.0612) loss_lansim: 0.0777 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5482 data: 0.0024 max mem: 31671 Epoch: [22] [4040/5278] eta: 0:53:03 lr: 2.3435372583460552e-05 loss: 0.0465 (0.0569) loss_seg: 0.0488 (0.0612) loss_lansim: 0.0781 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [22] [4050/5278] eta: 0:52:37 lr: 2.3433053843833876e-05 loss: 0.0465 (0.0569) loss_seg: 0.0489 (0.0612) loss_lansim: 0.0781 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [22] [4060/5278] eta: 0:52:11 lr: 2.343073507871324e-05 loss: 0.0460 (0.0569) loss_seg: 0.0488 (0.0612) loss_lansim: 0.0767 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5247 data: 0.0024 max mem: 31671 Epoch: [22] [4070/5278] eta: 0:51:45 lr: 2.3428416288095554e-05 loss: 0.0461 (0.0568) loss_seg: 0.0492 (0.0611) loss_lansim: 0.0767 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [22] [4080/5278] eta: 0:51:19 lr: 2.3426097471977737e-05 loss: 0.0461 (0.0568) loss_seg: 0.0492 (0.0611) loss_lansim: 0.0765 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5116 data: 0.0025 max mem: 31671 Epoch: [22] [4090/5278] eta: 0:50:53 lr: 2.3423778630356706e-05 loss: 0.0480 (0.0568) loss_seg: 0.0508 (0.0611) loss_lansim: 0.0765 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5103 data: 0.0025 max mem: 31671 Epoch: [22] [4100/5278] eta: 0:50:27 lr: 2.342145976322937e-05 loss: 0.0480 (0.0568) loss_seg: 0.0508 (0.0611) loss_lansim: 0.0767 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5110 data: 0.0025 max mem: 31671 Epoch: [22] [4110/5278] eta: 0:50:02 lr: 2.3419140870592657e-05 loss: 0.0470 (0.0568) loss_seg: 0.0508 (0.0611) loss_lansim: 0.0767 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5056 data: 0.0025 max mem: 31671 Epoch: [22] [4120/5278] eta: 0:49:36 lr: 2.341682195244346e-05 loss: 0.0480 (0.0568) loss_seg: 0.0512 (0.0611) loss_lansim: 0.0769 (0.0820) loss_contra: 0.0001 (0.0040) time: 2.5067 data: 0.0025 max mem: 31671 Epoch: [22] [4130/5278] eta: 0:49:10 lr: 2.3414503008778703e-05 loss: 0.0467 (0.0568) loss_seg: 0.0508 (0.0611) loss_lansim: 0.0765 (0.0819) loss_contra: 0.0001 (0.0040) time: 2.5111 data: 0.0026 max mem: 31671 Epoch: [22] [4140/5278] eta: 0:48:44 lr: 2.341218403959529e-05 loss: 0.0442 (0.0568) loss_seg: 0.0484 (0.0611) loss_lansim: 0.0756 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5151 data: 0.0025 max mem: 31671 Epoch: [22] [4150/5278] eta: 0:48:18 lr: 2.3409865044890143e-05 loss: 0.0461 (0.0568) loss_seg: 0.0494 (0.0611) loss_lansim: 0.0767 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5195 data: 0.0025 max mem: 31671 Epoch: [22] [4160/5278] eta: 0:47:52 lr: 2.340754602466016e-05 loss: 0.0480 (0.0568) loss_seg: 0.0508 (0.0611) loss_lansim: 0.0774 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [22] [4170/5278] eta: 0:47:27 lr: 2.3405226978902254e-05 loss: 0.0481 (0.0568) loss_seg: 0.0512 (0.0611) loss_lansim: 0.0774 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [22] [4180/5278] eta: 0:47:01 lr: 2.3402907907613335e-05 loss: 0.0481 (0.0568) loss_seg: 0.0512 (0.0611) loss_lansim: 0.0769 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [22] [4190/5278] eta: 0:46:35 lr: 2.3400588810790316e-05 loss: 0.0440 (0.0568) loss_seg: 0.0475 (0.0611) loss_lansim: 0.0774 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [22] [4200/5278] eta: 0:46:09 lr: 2.3398269688430098e-05 loss: 0.0447 (0.0568) loss_seg: 0.0484 (0.0611) loss_lansim: 0.0787 (0.0819) loss_contra: 0.0000 (0.0039) time: 2.5324 data: 0.0024 max mem: 31671 Epoch: [22] [4210/5278] eta: 0:45:43 lr: 2.3395950540529583e-05 loss: 0.0480 (0.0569) loss_seg: 0.0494 (0.0612) loss_lansim: 0.0792 (0.0819) loss_contra: 0.0000 (0.0039) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [22] [4220/5278] eta: 0:45:18 lr: 2.339363136708568e-05 loss: 0.0446 (0.0568) loss_seg: 0.0476 (0.0611) loss_lansim: 0.0799 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5359 data: 0.0025 max mem: 31671 Epoch: [22] [4230/5278] eta: 0:44:52 lr: 2.3391312168095305e-05 loss: 0.0483 (0.0568) loss_seg: 0.0499 (0.0611) loss_lansim: 0.0803 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5334 data: 0.0025 max mem: 31671 Epoch: [22] [4240/5278] eta: 0:44:26 lr: 2.3388992943555347e-05 loss: 0.0485 (0.0568) loss_seg: 0.0499 (0.0611) loss_lansim: 0.0801 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [22] [4250/5278] eta: 0:44:00 lr: 2.3386673693462713e-05 loss: 0.0492 (0.0568) loss_seg: 0.0536 (0.0611) loss_lansim: 0.0792 (0.0818) loss_contra: 0.0000 (0.0040) time: 2.5303 data: 0.0024 max mem: 31671 Epoch: [22] [4260/5278] eta: 0:43:34 lr: 2.338435441781431e-05 loss: 0.0483 (0.0568) loss_seg: 0.0496 (0.0611) loss_lansim: 0.0787 (0.0818) loss_contra: 0.0000 (0.0040) time: 2.5287 data: 0.0024 max mem: 31671 Epoch: [22] [4270/5278] eta: 0:43:09 lr: 2.338203511660704e-05 loss: 0.0487 (0.0568) loss_seg: 0.0499 (0.0611) loss_lansim: 0.0792 (0.0818) loss_contra: 0.0000 (0.0040) time: 2.5247 data: 0.0024 max mem: 31671 Epoch: [22] [4280/5278] eta: 0:42:43 lr: 2.3379715789837803e-05 loss: 0.0492 (0.0568) loss_seg: 0.0538 (0.0611) loss_lansim: 0.0792 (0.0818) loss_contra: 0.0000 (0.0040) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [22] [4290/5278] eta: 0:42:17 lr: 2.3377396437503495e-05 loss: 0.0496 (0.0568) loss_seg: 0.0540 (0.0611) loss_lansim: 0.0787 (0.0818) loss_contra: 0.0000 (0.0040) time: 2.5164 data: 0.0024 max mem: 31671 Epoch: [22] [4300/5278] eta: 0:41:51 lr: 2.3375077059601022e-05 loss: 0.0488 (0.0568) loss_seg: 0.0523 (0.0611) loss_lansim: 0.0785 (0.0818) loss_contra: 0.0001 (0.0040) time: 2.5021 data: 0.0025 max mem: 31671 Epoch: [22] [4310/5278] eta: 0:41:25 lr: 2.3372757656127286e-05 loss: 0.0457 (0.0567) loss_seg: 0.0496 (0.0610) loss_lansim: 0.0769 (0.0818) loss_contra: 0.0001 (0.0040) time: 2.5005 data: 0.0025 max mem: 31671 Epoch: [22] [4320/5278] eta: 0:40:59 lr: 2.3370438227079175e-05 loss: 0.0458 (0.0567) loss_seg: 0.0499 (0.0610) loss_lansim: 0.0761 (0.0818) loss_contra: 0.0001 (0.0040) time: 2.4953 data: 0.0025 max mem: 31671 Epoch: [22] [4330/5278] eta: 0:40:34 lr: 2.3368118772453594e-05 loss: 0.0432 (0.0567) loss_seg: 0.0471 (0.0610) loss_lansim: 0.0759 (0.0818) loss_contra: 0.0001 (0.0040) time: 2.4950 data: 0.0025 max mem: 31671 Epoch: [22] [4340/5278] eta: 0:40:08 lr: 2.3365799292247437e-05 loss: 0.0429 (0.0567) loss_seg: 0.0468 (0.0610) loss_lansim: 0.0757 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.4939 data: 0.0025 max mem: 31671 Epoch: [22] [4350/5278] eta: 0:39:42 lr: 2.3363479786457603e-05 loss: 0.0413 (0.0567) loss_seg: 0.0453 (0.0610) loss_lansim: 0.0757 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.5022 data: 0.0025 max mem: 31671 Epoch: [22] [4360/5278] eta: 0:39:16 lr: 2.336116025508099e-05 loss: 0.0425 (0.0567) loss_seg: 0.0465 (0.0610) loss_lansim: 0.0759 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.5139 data: 0.0025 max mem: 31671 Epoch: [22] [4370/5278] eta: 0:38:50 lr: 2.3358840698114486e-05 loss: 0.0422 (0.0567) loss_seg: 0.0455 (0.0610) loss_lansim: 0.0754 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.5081 data: 0.0024 max mem: 31671 Epoch: [22] [4380/5278] eta: 0:38:25 lr: 2.3356521115554992e-05 loss: 0.0410 (0.0567) loss_seg: 0.0446 (0.0610) loss_lansim: 0.0754 (0.0817) loss_contra: 0.0001 (0.0039) time: 2.5030 data: 0.0024 max mem: 31671 Epoch: [22] [4390/5278] eta: 0:37:59 lr: 2.3354201507399393e-05 loss: 0.0405 (0.0567) loss_seg: 0.0444 (0.0610) loss_lansim: 0.0755 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.5055 data: 0.0024 max mem: 31671 Epoch: [22] [4400/5278] eta: 0:37:33 lr: 2.3351881873644592e-05 loss: 0.0403 (0.0567) loss_seg: 0.0443 (0.0610) loss_lansim: 0.0745 (0.0817) loss_contra: 0.0001 (0.0039) time: 2.4986 data: 0.0024 max mem: 31671 Epoch: [22] [4410/5278] eta: 0:37:07 lr: 2.3349562214287474e-05 loss: 0.0405 (0.0567) loss_seg: 0.0446 (0.0610) loss_lansim: 0.0754 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.4979 data: 0.0023 max mem: 31671 Epoch: [22] [4420/5278] eta: 0:36:41 lr: 2.334724252932493e-05 loss: 0.0414 (0.0567) loss_seg: 0.0457 (0.0610) loss_lansim: 0.0754 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.4771 data: 0.0023 max mem: 31671 Epoch: [22] [4430/5278] eta: 0:36:15 lr: 2.3344922818753852e-05 loss: 0.0438 (0.0567) loss_seg: 0.0477 (0.0610) loss_lansim: 0.0759 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.4714 data: 0.0023 max mem: 31671 Epoch: [22] [4440/5278] eta: 0:35:49 lr: 2.3342603082571137e-05 loss: 0.0445 (0.0567) loss_seg: 0.0482 (0.0610) loss_lansim: 0.0759 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.4774 data: 0.0023 max mem: 31671 Epoch: [22] [4450/5278] eta: 0:35:23 lr: 2.3340283320773662e-05 loss: 0.0445 (0.0567) loss_seg: 0.0484 (0.0610) loss_lansim: 0.0757 (0.0817) loss_contra: 0.0001 (0.0040) time: 2.4697 data: 0.0024 max mem: 31671 Epoch: [22] [4460/5278] eta: 0:34:58 lr: 2.3337963533358322e-05 loss: 0.0445 (0.0567) loss_seg: 0.0484 (0.0610) loss_lansim: 0.0754 (0.0817) loss_contra: 0.0001 (0.0039) time: 2.4573 data: 0.0024 max mem: 31671 Epoch: [22] [4470/5278] eta: 0:34:32 lr: 2.3335643720322004e-05 loss: 0.0445 (0.0567) loss_seg: 0.0484 (0.0609) loss_lansim: 0.0757 (0.0817) loss_contra: 0.0001 (0.0039) time: 2.4609 data: 0.0024 max mem: 31671 Epoch: [22] [4480/5278] eta: 0:34:06 lr: 2.3333323881661598e-05 loss: 0.0440 (0.0566) loss_seg: 0.0482 (0.0609) loss_lansim: 0.0782 (0.0817) loss_contra: 0.0001 (0.0039) time: 2.4646 data: 0.0024 max mem: 31671 Epoch: [22] [4490/5278] eta: 0:33:40 lr: 2.3331004017373982e-05 loss: 0.0449 (0.0567) loss_seg: 0.0490 (0.0609) loss_lansim: 0.0781 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4657 data: 0.0025 max mem: 31671 Epoch: [22] [4500/5278] eta: 0:33:14 lr: 2.3328684127456045e-05 loss: 0.0469 (0.0567) loss_seg: 0.0518 (0.0610) loss_lansim: 0.0782 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4688 data: 0.0025 max mem: 31671 Epoch: [22] [4510/5278] eta: 0:32:48 lr: 2.3326364211904678e-05 loss: 0.0504 (0.0567) loss_seg: 0.0546 (0.0610) loss_lansim: 0.0796 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4637 data: 0.0025 max mem: 31671 Epoch: [22] [4520/5278] eta: 0:32:23 lr: 2.3324044270716764e-05 loss: 0.0504 (0.0568) loss_seg: 0.0558 (0.0611) loss_lansim: 0.0800 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4824 data: 0.0025 max mem: 31671 Epoch: [22] [4530/5278] eta: 0:31:57 lr: 2.3321724303889177e-05 loss: 0.0522 (0.0568) loss_seg: 0.0577 (0.0611) loss_lansim: 0.0799 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4926 data: 0.0025 max mem: 31671 Epoch: [22] [4540/5278] eta: 0:31:31 lr: 2.3319404311418805e-05 loss: 0.0542 (0.0569) loss_seg: 0.0593 (0.0611) loss_lansim: 0.0794 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4841 data: 0.0025 max mem: 31671 Epoch: [22] [4550/5278] eta: 0:31:06 lr: 2.331708429330253e-05 loss: 0.0538 (0.0568) loss_seg: 0.0581 (0.0611) loss_lansim: 0.0796 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4762 data: 0.0024 max mem: 31671 Epoch: [22] [4560/5278] eta: 0:30:40 lr: 2.331476424953724e-05 loss: 0.0538 (0.0568) loss_seg: 0.0581 (0.0611) loss_lansim: 0.0799 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4802 data: 0.0025 max mem: 31671 Epoch: [22] [4570/5278] eta: 0:30:14 lr: 2.3312444180119802e-05 loss: 0.0538 (0.0568) loss_seg: 0.0593 (0.0611) loss_lansim: 0.0819 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4804 data: 0.0024 max mem: 31671 Epoch: [22] [4580/5278] eta: 0:29:48 lr: 2.3310124085047103e-05 loss: 0.0546 (0.0568) loss_seg: 0.0601 (0.0611) loss_lansim: 0.0805 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4875 data: 0.0024 max mem: 31671 Epoch: [22] [4590/5278] eta: 0:29:23 lr: 2.330780396431602e-05 loss: 0.0546 (0.0568) loss_seg: 0.0584 (0.0611) loss_lansim: 0.0821 (0.0817) loss_contra: 0.0000 (0.0039) time: 2.4940 data: 0.0024 max mem: 31671 Epoch: [22] [4600/5278] eta: 0:28:57 lr: 2.3305483817923436e-05 loss: 0.0499 (0.0568) loss_seg: 0.0544 (0.0611) loss_lansim: 0.0821 (0.0818) loss_contra: 0.0000 (0.0039) time: 2.5018 data: 0.0024 max mem: 31671 Epoch: [22] [4610/5278] eta: 0:28:31 lr: 2.330316364586623e-05 loss: 0.0494 (0.0568) loss_seg: 0.0537 (0.0611) loss_lansim: 0.0819 (0.0818) loss_contra: 0.0001 (0.0039) time: 2.5154 data: 0.0024 max mem: 31671 Epoch: [22] [4620/5278] eta: 0:28:06 lr: 2.330084344814127e-05 loss: 0.0494 (0.0568) loss_seg: 0.0543 (0.0611) loss_lansim: 0.0821 (0.0818) loss_contra: 0.0001 (0.0039) time: 2.5168 data: 0.0024 max mem: 31671 Epoch: [22] [4630/5278] eta: 0:27:40 lr: 2.3298523224745437e-05 loss: 0.0470 (0.0568) loss_seg: 0.0510 (0.0611) loss_lansim: 0.0808 (0.0818) loss_contra: 0.0001 (0.0039) time: 2.5104 data: 0.0024 max mem: 31671 Epoch: [22] [4640/5278] eta: 0:27:14 lr: 2.3296202975675603e-05 loss: 0.0465 (0.0568) loss_seg: 0.0507 (0.0611) loss_lansim: 0.0827 (0.0818) loss_contra: 0.0001 (0.0038) time: 2.5137 data: 0.0024 max mem: 31671 Epoch: [22] [4650/5278] eta: 0:26:49 lr: 2.3293882700928652e-05 loss: 0.0460 (0.0568) loss_seg: 0.0498 (0.0611) loss_lansim: 0.0819 (0.0817) loss_contra: 0.0000 (0.0038) time: 2.5236 data: 0.0024 max mem: 31671 Epoch: [22] [4660/5278] eta: 0:26:23 lr: 2.3291562400501445e-05 loss: 0.0460 (0.0568) loss_seg: 0.0498 (0.0611) loss_lansim: 0.0819 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5239 data: 0.0024 max mem: 31671 Epoch: [22] [4670/5278] eta: 0:25:57 lr: 2.3289242074390864e-05 loss: 0.0470 (0.0568) loss_seg: 0.0508 (0.0610) loss_lansim: 0.0805 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [22] [4680/5278] eta: 0:25:32 lr: 2.3286921722593778e-05 loss: 0.0482 (0.0568) loss_seg: 0.0510 (0.0610) loss_lansim: 0.0805 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [22] [4690/5278] eta: 0:25:06 lr: 2.3284601345107064e-05 loss: 0.0458 (0.0568) loss_seg: 0.0489 (0.0610) loss_lansim: 0.0796 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [22] [4700/5278] eta: 0:24:41 lr: 2.3282280941927584e-05 loss: 0.0453 (0.0568) loss_seg: 0.0483 (0.0610) loss_lansim: 0.0795 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [22] [4710/5278] eta: 0:24:15 lr: 2.327996051305221e-05 loss: 0.0453 (0.0568) loss_seg: 0.0483 (0.0610) loss_lansim: 0.0795 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [22] [4720/5278] eta: 0:23:49 lr: 2.327764005847782e-05 loss: 0.0446 (0.0568) loss_seg: 0.0478 (0.0611) loss_lansim: 0.0809 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5455 data: 0.0025 max mem: 31671 Epoch: [22] [4730/5278] eta: 0:23:24 lr: 2.327531957820128e-05 loss: 0.0446 (0.0568) loss_seg: 0.0478 (0.0610) loss_lansim: 0.0809 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [22] [4740/5278] eta: 0:22:58 lr: 2.3272999072219455e-05 loss: 0.0458 (0.0568) loss_seg: 0.0483 (0.0610) loss_lansim: 0.0790 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5537 data: 0.0025 max mem: 31671 Epoch: [22] [4750/5278] eta: 0:22:32 lr: 2.3270678540529207e-05 loss: 0.0478 (0.0568) loss_seg: 0.0502 (0.0611) loss_lansim: 0.0809 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5427 data: 0.0025 max mem: 31671 Epoch: [22] [4760/5278] eta: 0:22:07 lr: 2.3268357983127413e-05 loss: 0.0472 (0.0568) loss_seg: 0.0489 (0.0611) loss_lansim: 0.0802 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5505 data: 0.0025 max mem: 31671 Epoch: [22] [4770/5278] eta: 0:21:41 lr: 2.326603740001094e-05 loss: 0.0458 (0.0568) loss_seg: 0.0493 (0.0611) loss_lansim: 0.0782 (0.0817) loss_contra: 0.0000 (0.0038) time: 2.5593 data: 0.0025 max mem: 31671 Epoch: [22] [4780/5278] eta: 0:21:15 lr: 2.3263716791176636e-05 loss: 0.0446 (0.0568) loss_seg: 0.0478 (0.0611) loss_lansim: 0.0760 (0.0817) loss_contra: 0.0000 (0.0038) time: 2.5537 data: 0.0025 max mem: 31671 Epoch: [22] [4790/5278] eta: 0:20:50 lr: 2.3261396156621382e-05 loss: 0.0429 (0.0568) loss_seg: 0.0473 (0.0610) loss_lansim: 0.0759 (0.0816) loss_contra: 0.0000 (0.0038) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [22] [4800/5278] eta: 0:20:24 lr: 2.3259075496342036e-05 loss: 0.0429 (0.0568) loss_seg: 0.0473 (0.0610) loss_lansim: 0.0758 (0.0816) loss_contra: 0.0000 (0.0038) time: 2.5323 data: 0.0025 max mem: 31671 Epoch: [22] [4810/5278] eta: 0:19:58 lr: 2.3256754810335463e-05 loss: 0.0449 (0.0568) loss_seg: 0.0474 (0.0610) loss_lansim: 0.0749 (0.0816) loss_contra: 0.0000 (0.0038) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [22] [4820/5278] eta: 0:19:33 lr: 2.325443409859853e-05 loss: 0.0432 (0.0568) loss_seg: 0.0474 (0.0610) loss_lansim: 0.0740 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [22] [4830/5278] eta: 0:19:07 lr: 2.3252113361128085e-05 loss: 0.0432 (0.0567) loss_seg: 0.0474 (0.0610) loss_lansim: 0.0740 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [22] [4840/5278] eta: 0:18:41 lr: 2.3249792597920998e-05 loss: 0.0451 (0.0568) loss_seg: 0.0496 (0.0611) loss_lansim: 0.0755 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [22] [4850/5278] eta: 0:18:16 lr: 2.3247471808974132e-05 loss: 0.0458 (0.0569) loss_seg: 0.0506 (0.0612) loss_lansim: 0.0760 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [22] [4860/5278] eta: 0:17:50 lr: 2.3245150994284342e-05 loss: 0.0463 (0.0569) loss_seg: 0.0507 (0.0611) loss_lansim: 0.0764 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [22] [4870/5278] eta: 0:17:25 lr: 2.3242830153848484e-05 loss: 0.0463 (0.0569) loss_seg: 0.0507 (0.0611) loss_lansim: 0.0774 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [22] [4880/5278] eta: 0:16:59 lr: 2.3240509287663414e-05 loss: 0.0484 (0.0569) loss_seg: 0.0521 (0.0611) loss_lansim: 0.0778 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [22] [4890/5278] eta: 0:16:33 lr: 2.3238188395725998e-05 loss: 0.0498 (0.0569) loss_seg: 0.0537 (0.0611) loss_lansim: 0.0785 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5404 data: 0.0025 max mem: 31671 Epoch: [22] [4900/5278] eta: 0:16:08 lr: 2.3235867478033095e-05 loss: 0.0484 (0.0568) loss_seg: 0.0533 (0.0611) loss_lansim: 0.0789 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [22] [4910/5278] eta: 0:15:42 lr: 2.3233546534581544e-05 loss: 0.0463 (0.0568) loss_seg: 0.0509 (0.0611) loss_lansim: 0.0779 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5460 data: 0.0026 max mem: 31671 Epoch: [22] [4920/5278] eta: 0:15:16 lr: 2.323122556536821e-05 loss: 0.0463 (0.0568) loss_seg: 0.0509 (0.0611) loss_lansim: 0.0775 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5398 data: 0.0026 max mem: 31671 Epoch: [22] [4930/5278] eta: 0:14:51 lr: 2.3228904570389952e-05 loss: 0.0484 (0.0569) loss_seg: 0.0533 (0.0611) loss_lansim: 0.0774 (0.0816) loss_contra: 0.0000 (0.0038) time: 2.5385 data: 0.0025 max mem: 31671 Epoch: [22] [4940/5278] eta: 0:14:25 lr: 2.322658354964362e-05 loss: 0.0484 (0.0569) loss_seg: 0.0533 (0.0612) loss_lansim: 0.0774 (0.0816) loss_contra: 0.0000 (0.0038) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [22] [4950/5278] eta: 0:14:00 lr: 2.322426250312606e-05 loss: 0.0471 (0.0569) loss_seg: 0.0519 (0.0612) loss_lansim: 0.0774 (0.0816) loss_contra: 0.0000 (0.0038) time: 2.5450 data: 0.0025 max mem: 31671 Epoch: [22] [4960/5278] eta: 0:13:34 lr: 2.3221941430834128e-05 loss: 0.0472 (0.0569) loss_seg: 0.0520 (0.0612) loss_lansim: 0.0772 (0.0816) loss_contra: 0.0000 (0.0038) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [22] [4970/5278] eta: 0:13:08 lr: 2.321962033276468e-05 loss: 0.0472 (0.0569) loss_seg: 0.0520 (0.0611) loss_lansim: 0.0772 (0.0816) loss_contra: 0.0000 (0.0038) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [22] [4980/5278] eta: 0:12:43 lr: 2.3217299208914567e-05 loss: 0.0471 (0.0569) loss_seg: 0.0519 (0.0611) loss_lansim: 0.0775 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5151 data: 0.0025 max mem: 31671 Epoch: [22] [4990/5278] eta: 0:12:17 lr: 2.3214978059280628e-05 loss: 0.0463 (0.0568) loss_seg: 0.0505 (0.0611) loss_lansim: 0.0778 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5080 data: 0.0025 max mem: 31671 Epoch: [22] [5000/5278] eta: 0:11:51 lr: 2.3212656883859722e-05 loss: 0.0495 (0.0568) loss_seg: 0.0519 (0.0611) loss_lansim: 0.0778 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5004 data: 0.0025 max mem: 31671 Epoch: [22] [5010/5278] eta: 0:11:26 lr: 2.321033568264869e-05 loss: 0.0499 (0.0568) loss_seg: 0.0528 (0.0611) loss_lansim: 0.0782 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.4912 data: 0.0025 max mem: 31671 Epoch: [22] [5020/5278] eta: 0:11:00 lr: 2.3208014455644393e-05 loss: 0.0489 (0.0568) loss_seg: 0.0519 (0.0610) loss_lansim: 0.0782 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5009 data: 0.0025 max mem: 31671 Epoch: [22] [5030/5278] eta: 0:10:34 lr: 2.320569320284366e-05 loss: 0.0480 (0.0568) loss_seg: 0.0513 (0.0611) loss_lansim: 0.0782 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5049 data: 0.0025 max mem: 31671 Epoch: [22] [5040/5278] eta: 0:10:09 lr: 2.320337192424335e-05 loss: 0.0478 (0.0568) loss_seg: 0.0510 (0.0611) loss_lansim: 0.0787 (0.0816) loss_contra: 0.0000 (0.0037) time: 2.5016 data: 0.0025 max mem: 31671 Epoch: [22] [5050/5278] eta: 0:09:43 lr: 2.32010506198403e-05 loss: 0.0463 (0.0568) loss_seg: 0.0505 (0.0611) loss_lansim: 0.0782 (0.0815) loss_contra: 0.0000 (0.0037) time: 2.5050 data: 0.0025 max mem: 31671 Epoch: [22] [5060/5278] eta: 0:09:18 lr: 2.3198729289631364e-05 loss: 0.0463 (0.0568) loss_seg: 0.0505 (0.0611) loss_lansim: 0.0787 (0.0815) loss_contra: 0.0000 (0.0037) time: 2.5045 data: 0.0025 max mem: 31671 Epoch: [22] [5070/5278] eta: 0:08:52 lr: 2.3196407933613382e-05 loss: 0.0463 (0.0568) loss_seg: 0.0505 (0.0611) loss_lansim: 0.0790 (0.0815) loss_contra: 0.0000 (0.0037) time: 2.5013 data: 0.0025 max mem: 31671 Epoch: [22] [5080/5278] eta: 0:08:26 lr: 2.319408655178319e-05 loss: 0.0478 (0.0568) loss_seg: 0.0504 (0.0611) loss_lansim: 0.0796 (0.0815) loss_contra: 0.0001 (0.0037) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [22] [5090/5278] eta: 0:08:01 lr: 2.3191765144137643e-05 loss: 0.0480 (0.0568) loss_seg: 0.0505 (0.0611) loss_lansim: 0.0796 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [22] [5100/5278] eta: 0:07:35 lr: 2.318944371067357e-05 loss: 0.0495 (0.0569) loss_seg: 0.0528 (0.0611) loss_lansim: 0.0798 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [22] [5110/5278] eta: 0:07:09 lr: 2.3187122251387826e-05 loss: 0.0506 (0.0569) loss_seg: 0.0541 (0.0612) loss_lansim: 0.0798 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [22] [5120/5278] eta: 0:06:44 lr: 2.318480076627724e-05 loss: 0.0517 (0.0569) loss_seg: 0.0550 (0.0612) loss_lansim: 0.0803 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5142 data: 0.0025 max mem: 31671 Epoch: [22] [5130/5278] eta: 0:06:18 lr: 2.3182479255338654e-05 loss: 0.0495 (0.0568) loss_seg: 0.0509 (0.0611) loss_lansim: 0.0814 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5200 data: 0.0024 max mem: 31671 Epoch: [22] [5140/5278] eta: 0:05:53 lr: 2.3180157718568906e-05 loss: 0.0500 (0.0568) loss_seg: 0.0527 (0.0611) loss_lansim: 0.0814 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5163 data: 0.0025 max mem: 31671 Epoch: [22] [5150/5278] eta: 0:05:27 lr: 2.3177836155964843e-05 loss: 0.0500 (0.0568) loss_seg: 0.0527 (0.0611) loss_lansim: 0.0814 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5157 data: 0.0024 max mem: 31671 Epoch: [22] [5160/5278] eta: 0:05:01 lr: 2.317551456752329e-05 loss: 0.0495 (0.0568) loss_seg: 0.0527 (0.0611) loss_lansim: 0.0818 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5069 data: 0.0024 max mem: 31671 Epoch: [22] [5170/5278] eta: 0:04:36 lr: 2.317319295324109e-05 loss: 0.0487 (0.0568) loss_seg: 0.0528 (0.0611) loss_lansim: 0.0820 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5150 data: 0.0024 max mem: 31671 Epoch: [22] [5180/5278] eta: 0:04:10 lr: 2.3170871313115073e-05 loss: 0.0464 (0.0568) loss_seg: 0.0488 (0.0611) loss_lansim: 0.0818 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5102 data: 0.0024 max mem: 31671 Epoch: [22] [5190/5278] eta: 0:03:45 lr: 2.3168549647142087e-05 loss: 0.0482 (0.0568) loss_seg: 0.0507 (0.0611) loss_lansim: 0.0826 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5066 data: 0.0024 max mem: 31671 Epoch: [22] [5200/5278] eta: 0:03:19 lr: 2.316622795531895e-05 loss: 0.0462 (0.0568) loss_seg: 0.0488 (0.0611) loss_lansim: 0.0830 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5050 data: 0.0024 max mem: 31671 Epoch: [22] [5210/5278] eta: 0:02:53 lr: 2.3163906237642507e-05 loss: 0.0445 (0.0568) loss_seg: 0.0479 (0.0611) loss_lansim: 0.0830 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5143 data: 0.0024 max mem: 31671 Epoch: [22] [5220/5278] eta: 0:02:28 lr: 2.3161584494109587e-05 loss: 0.0462 (0.0569) loss_seg: 0.0488 (0.0611) loss_lansim: 0.0832 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5181 data: 0.0024 max mem: 31671 Epoch: [22] [5230/5278] eta: 0:02:02 lr: 2.3159262724717025e-05 loss: 0.0458 (0.0568) loss_seg: 0.0488 (0.0611) loss_lansim: 0.0826 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5167 data: 0.0024 max mem: 31671 Epoch: [22] [5240/5278] eta: 0:01:37 lr: 2.3156940929461645e-05 loss: 0.0455 (0.0568) loss_seg: 0.0488 (0.0611) loss_lansim: 0.0830 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5280 data: 0.0024 max mem: 31671 Epoch: [22] [5250/5278] eta: 0:01:11 lr: 2.3154619108340283e-05 loss: 0.0466 (0.0568) loss_seg: 0.0499 (0.0611) loss_lansim: 0.0839 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5190 data: 0.0024 max mem: 31671 Epoch: [22] [5260/5278] eta: 0:00:46 lr: 2.315229726134977e-05 loss: 0.0458 (0.0568) loss_seg: 0.0488 (0.0611) loss_lansim: 0.0835 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5277 data: 0.0024 max mem: 31671 Epoch: [22] [5270/5278] eta: 0:00:20 lr: 2.314997538848694e-05 loss: 0.0455 (0.0568) loss_seg: 0.0484 (0.0611) loss_lansim: 0.0835 (0.0816) loss_contra: 0.0001 (0.0037) time: 2.5294 data: 0.0024 max mem: 31671 Epoch: [22] Total time: 3:45:04 Test: [ 0/2573] eta: 1:29:19 time: 2.0829 data: 1.7342 max mem: 31671 Test: [ 100/2573] eta: 0:06:38 time: 0.1419 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:04 time: 0.1457 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:39 time: 0.1411 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:21 time: 0.1435 data: 0.0014 max mem: 31671 Test: [ 500/2573] eta: 0:05:05 time: 0.1443 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:50 time: 0.1479 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1521 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1482 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1473 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1461 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:37 time: 0.1455 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1487 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1462 data: 0.0014 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1428 data: 0.0014 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1474 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1482 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1458 data: 0.0014 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1438 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1421 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1425 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1468 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1410 data: 0.0014 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1450 data: 0.0014 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1442 data: 0.0014 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1475 data: 0.0015 max mem: 31671 Test: Total time: 0:06:16 Final results: precision@0.5 = 68.63 precision@0.6 = 63.87 precision@0.7 = 56.54 precision@0.8 = 44.98 precision@0.9 = 22.06 overall IoU = 57.88 mean IoU = 60.74 Average object IoU 0.6074033317793985 Overall IoU 57.87620187196816 Epoch: [23] [ 0/5278] eta: 8:30:02 lr: 2.314811787156646e-05 loss: 0.0889 (0.0889) loss_seg: 0.0988 (0.0988) loss_lansim: 0.0799 (0.0799) loss_contra: 0.0016 (0.0016) time: 5.7982 data: 1.3138 max mem: 31671 Epoch: [23] [ 10/5278] eta: 3:57:29 lr: 2.314579595212545e-05 loss: 0.0527 (0.0559) loss_seg: 0.0581 (0.0590) loss_lansim: 0.0811 (0.0870) loss_contra: 0.0001 (0.0041) time: 2.7049 data: 0.1215 max mem: 31671 Epoch: [23] [ 20/5278] eta: 3:48:05 lr: 2.314347400680323e-05 loss: 0.0423 (0.0495) loss_seg: 0.0416 (0.0526) loss_lansim: 0.0868 (0.0888) loss_contra: 0.0001 (0.0022) time: 2.6027 data: 0.0642 max mem: 31671 Epoch: [23] [ 30/5278] eta: 3:44:26 lr: 2.3141152035596634e-05 loss: 0.0431 (0.0485) loss_seg: 0.0452 (0.0513) loss_lansim: 0.0865 (0.0882) loss_contra: 0.0001 (0.0019) time: 2.5660 data: 0.0443 max mem: 31671 Epoch: [23] [ 40/5278] eta: 3:43:57 lr: 2.313883003850248e-05 loss: 0.0454 (0.0499) loss_seg: 0.0485 (0.0525) loss_lansim: 0.0868 (0.0882) loss_contra: 0.0001 (0.0015) time: 2.5653 data: 0.0341 max mem: 31671 Epoch: [23] [ 50/5278] eta: 3:45:02 lr: 2.3136508015517606e-05 loss: 0.0449 (0.0490) loss_seg: 0.0485 (0.0517) loss_lansim: 0.0868 (0.0877) loss_contra: 0.0001 (0.0017) time: 2.5827 data: 0.0280 max mem: 31671 Epoch: [23] [ 60/5278] eta: 3:44:00 lr: 2.313418596663882e-05 loss: 0.0449 (0.0497) loss_seg: 0.0485 (0.0527) loss_lansim: 0.0858 (0.0866) loss_contra: 0.0001 (0.0014) time: 2.5759 data: 0.0238 max mem: 31671 Epoch: [23] [ 70/5278] eta: 3:43:52 lr: 2.313186389186295e-05 loss: 0.0454 (0.0503) loss_seg: 0.0485 (0.0535) loss_lansim: 0.0858 (0.0865) loss_contra: 0.0001 (0.0014) time: 2.5791 data: 0.0208 max mem: 31671 Epoch: [23] [ 80/5278] eta: 3:43:05 lr: 2.312954179118682e-05 loss: 0.0480 (0.0510) loss_seg: 0.0496 (0.0542) loss_lansim: 0.0868 (0.0866) loss_contra: 0.0001 (0.0029) time: 2.5751 data: 0.0186 max mem: 31671 Epoch: [23] [ 90/5278] eta: 3:41:31 lr: 2.3127219664607254e-05 loss: 0.0487 (0.0510) loss_seg: 0.0503 (0.0542) loss_lansim: 0.0868 (0.0866) loss_contra: 0.0001 (0.0026) time: 2.5620 data: 0.0168 max mem: 31671 Epoch: [23] [ 100/5278] eta: 3:40:46 lr: 2.312489751212108e-05 loss: 0.0489 (0.0516) loss_seg: 0.0510 (0.0550) loss_lansim: 0.0865 (0.0866) loss_contra: 0.0001 (0.0038) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [23] [ 110/5278] eta: 3:39:57 lr: 2.3122575333725106e-05 loss: 0.0487 (0.0508) loss_seg: 0.0505 (0.0542) loss_lansim: 0.0865 (0.0860) loss_contra: 0.0001 (0.0035) time: 2.5371 data: 0.0024 max mem: 31671 Epoch: [23] [ 120/5278] eta: 3:39:28 lr: 2.312025312941615e-05 loss: 0.0487 (0.0496) loss_seg: 0.0505 (0.0530) loss_lansim: 0.0847 (0.0857) loss_contra: 0.0001 (0.0032) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [23] [ 130/5278] eta: 3:38:55 lr: 2.311793089919104e-05 loss: 0.0457 (0.0484) loss_seg: 0.0494 (0.0516) loss_lansim: 0.0844 (0.0854) loss_contra: 0.0001 (0.0034) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [23] [ 140/5278] eta: 3:38:36 lr: 2.3115608643046595e-05 loss: 0.0461 (0.0498) loss_seg: 0.0505 (0.0532) loss_lansim: 0.0842 (0.0856) loss_contra: 0.0001 (0.0031) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [23] [ 150/5278] eta: 3:38:01 lr: 2.3113286360979624e-05 loss: 0.0467 (0.0495) loss_seg: 0.0509 (0.0529) loss_lansim: 0.0814 (0.0853) loss_contra: 0.0001 (0.0035) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [23] [ 160/5278] eta: 3:37:23 lr: 2.311096405298695e-05 loss: 0.0467 (0.0494) loss_seg: 0.0509 (0.0528) loss_lansim: 0.0842 (0.0855) loss_contra: 0.0001 (0.0035) time: 2.5319 data: 0.0024 max mem: 31671 Epoch: [23] [ 170/5278] eta: 3:36:29 lr: 2.310864171906538e-05 loss: 0.0453 (0.0487) loss_seg: 0.0480 (0.0520) loss_lansim: 0.0815 (0.0850) loss_contra: 0.0000 (0.0035) time: 2.5174 data: 0.0024 max mem: 31671 Epoch: [23] [ 180/5278] eta: 3:36:08 lr: 2.310631935921175e-05 loss: 0.0434 (0.0495) loss_seg: 0.0468 (0.0529) loss_lansim: 0.0814 (0.0850) loss_contra: 0.0000 (0.0033) time: 2.5185 data: 0.0024 max mem: 31671 Epoch: [23] [ 190/5278] eta: 3:35:43 lr: 2.310399697342285e-05 loss: 0.0424 (0.0491) loss_seg: 0.0450 (0.0525) loss_lansim: 0.0810 (0.0848) loss_contra: 0.0000 (0.0032) time: 2.5274 data: 0.0024 max mem: 31671 Epoch: [23] [ 200/5278] eta: 3:35:12 lr: 2.3101674561695504e-05 loss: 0.0409 (0.0487) loss_seg: 0.0425 (0.0521) loss_lansim: 0.0814 (0.0846) loss_contra: 0.0000 (0.0031) time: 2.5271 data: 0.0024 max mem: 31671 Epoch: [23] [ 210/5278] eta: 3:34:27 lr: 2.3099352124026528e-05 loss: 0.0396 (0.0481) loss_seg: 0.0417 (0.0514) loss_lansim: 0.0815 (0.0845) loss_contra: 0.0000 (0.0030) time: 2.5226 data: 0.0024 max mem: 31671 Epoch: [23] [ 220/5278] eta: 3:33:42 lr: 2.3097029660412733e-05 loss: 0.0412 (0.0481) loss_seg: 0.0425 (0.0514) loss_lansim: 0.0818 (0.0846) loss_contra: 0.0000 (0.0032) time: 2.5135 data: 0.0024 max mem: 31671 Epoch: [23] [ 230/5278] eta: 3:33:08 lr: 2.3094707170850923e-05 loss: 0.0433 (0.0484) loss_seg: 0.0464 (0.0517) loss_lansim: 0.0823 (0.0845) loss_contra: 0.0000 (0.0031) time: 2.5096 data: 0.0024 max mem: 31671 Epoch: [23] [ 240/5278] eta: 3:32:23 lr: 2.3092384655337915e-05 loss: 0.0425 (0.0483) loss_seg: 0.0442 (0.0517) loss_lansim: 0.0823 (0.0844) loss_contra: 0.0000 (0.0030) time: 2.4966 data: 0.0024 max mem: 31671 Epoch: [23] [ 250/5278] eta: 3:31:54 lr: 2.309006211387052e-05 loss: 0.0434 (0.0485) loss_seg: 0.0464 (0.0518) loss_lansim: 0.0836 (0.0845) loss_contra: 0.0000 (0.0029) time: 2.4953 data: 0.0025 max mem: 31671 Epoch: [23] [ 260/5278] eta: 3:31:46 lr: 2.308773954644555e-05 loss: 0.0434 (0.0481) loss_seg: 0.0465 (0.0515) loss_lansim: 0.0833 (0.0845) loss_contra: 0.0000 (0.0028) time: 2.5057 data: 0.0025 max mem: 31671 Epoch: [23] [ 270/5278] eta: 3:31:19 lr: 2.3085416953059803e-05 loss: 0.0435 (0.0483) loss_seg: 0.0474 (0.0517) loss_lansim: 0.0834 (0.0844) loss_contra: 0.0000 (0.0028) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [23] [ 280/5278] eta: 3:30:44 lr: 2.308309433371009e-05 loss: 0.0434 (0.0480) loss_seg: 0.0468 (0.0514) loss_lansim: 0.0835 (0.0846) loss_contra: 0.0000 (0.0027) time: 2.5046 data: 0.0025 max mem: 31671 Epoch: [23] [ 290/5278] eta: 3:30:16 lr: 2.3080771688393222e-05 loss: 0.0435 (0.0480) loss_seg: 0.0474 (0.0513) loss_lansim: 0.0834 (0.0845) loss_contra: 0.0000 (0.0029) time: 2.5018 data: 0.0025 max mem: 31671 Epoch: [23] [ 300/5278] eta: 3:29:45 lr: 2.3078449017106006e-05 loss: 0.0444 (0.0481) loss_seg: 0.0476 (0.0514) loss_lansim: 0.0833 (0.0844) loss_contra: 0.0000 (0.0028) time: 2.4989 data: 0.0025 max mem: 31671 Epoch: [23] [ 310/5278] eta: 3:29:26 lr: 2.3076126319845243e-05 loss: 0.0450 (0.0481) loss_seg: 0.0481 (0.0514) loss_lansim: 0.0819 (0.0843) loss_contra: 0.0000 (0.0027) time: 2.5096 data: 0.0025 max mem: 31671 Epoch: [23] [ 320/5278] eta: 3:29:13 lr: 2.307380359660774e-05 loss: 0.0451 (0.0481) loss_seg: 0.0494 (0.0514) loss_lansim: 0.0815 (0.0841) loss_contra: 0.0000 (0.0027) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [23] [ 330/5278] eta: 3:28:49 lr: 2.3071480847390296e-05 loss: 0.0445 (0.0481) loss_seg: 0.0479 (0.0514) loss_lansim: 0.0810 (0.0839) loss_contra: 0.0000 (0.0026) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [23] [ 340/5278] eta: 3:28:10 lr: 2.3069158072189722e-05 loss: 0.0445 (0.0480) loss_seg: 0.0476 (0.0513) loss_lansim: 0.0809 (0.0839) loss_contra: 0.0000 (0.0029) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [23] [ 350/5278] eta: 3:27:31 lr: 2.3066835271002825e-05 loss: 0.0429 (0.0477) loss_seg: 0.0465 (0.0510) loss_lansim: 0.0804 (0.0836) loss_contra: 0.0001 (0.0028) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [23] [ 360/5278] eta: 3:26:58 lr: 2.3064512443826388e-05 loss: 0.0431 (0.0477) loss_seg: 0.0466 (0.0510) loss_lansim: 0.0802 (0.0835) loss_contra: 0.0001 (0.0028) time: 2.5068 data: 0.0025 max mem: 31671 Epoch: [23] [ 370/5278] eta: 3:26:30 lr: 2.3062189590657224e-05 loss: 0.0431 (0.0476) loss_seg: 0.0465 (0.0509) loss_lansim: 0.0802 (0.0836) loss_contra: 0.0001 (0.0031) time: 2.5045 data: 0.0025 max mem: 31671 Epoch: [23] [ 380/5278] eta: 3:26:08 lr: 2.305986671149213e-05 loss: 0.0437 (0.0474) loss_seg: 0.0466 (0.0507) loss_lansim: 0.0798 (0.0834) loss_contra: 0.0000 (0.0031) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [23] [ 390/5278] eta: 3:25:54 lr: 2.3057543806327917e-05 loss: 0.0431 (0.0474) loss_seg: 0.0466 (0.0507) loss_lansim: 0.0805 (0.0836) loss_contra: 0.0000 (0.0030) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [23] [ 400/5278] eta: 3:25:41 lr: 2.3055220875161364e-05 loss: 0.0444 (0.0475) loss_seg: 0.0484 (0.0509) loss_lansim: 0.0809 (0.0836) loss_contra: 0.0000 (0.0029) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [23] [ 410/5278] eta: 3:25:27 lr: 2.3052897917989283e-05 loss: 0.0431 (0.0474) loss_seg: 0.0475 (0.0508) loss_lansim: 0.0824 (0.0838) loss_contra: 0.0000 (0.0029) time: 2.5412 data: 0.0025 max mem: 31671 Epoch: [23] [ 420/5278] eta: 3:25:12 lr: 2.3050574934808462e-05 loss: 0.0431 (0.0473) loss_seg: 0.0474 (0.0506) loss_lansim: 0.0825 (0.0838) loss_contra: 0.0000 (0.0028) time: 2.5425 data: 0.0025 max mem: 31671 Epoch: [23] [ 430/5278] eta: 3:25:02 lr: 2.3048251925615714e-05 loss: 0.0425 (0.0471) loss_seg: 0.0457 (0.0504) loss_lansim: 0.0830 (0.0838) loss_contra: 0.0001 (0.0028) time: 2.5552 data: 0.0026 max mem: 31671 Epoch: [23] [ 440/5278] eta: 3:24:41 lr: 2.3045928890407813e-05 loss: 0.0425 (0.0482) loss_seg: 0.0462 (0.0517) loss_lansim: 0.0827 (0.0838) loss_contra: 0.0001 (0.0027) time: 2.5696 data: 0.0026 max mem: 31671 Epoch: [23] [ 450/5278] eta: 3:24:23 lr: 2.3043605829181563e-05 loss: 0.0431 (0.0481) loss_seg: 0.0465 (0.0515) loss_lansim: 0.0835 (0.0838) loss_contra: 0.0000 (0.0027) time: 2.5870 data: 0.0025 max mem: 31671 Epoch: [23] [ 460/5278] eta: 3:23:59 lr: 2.3041282741933763e-05 loss: 0.0419 (0.0480) loss_seg: 0.0446 (0.0514) loss_lansim: 0.0835 (0.0837) loss_contra: 0.0000 (0.0026) time: 2.5956 data: 0.0025 max mem: 31671 Epoch: [23] [ 470/5278] eta: 3:23:50 lr: 2.30389596286612e-05 loss: 0.0408 (0.0480) loss_seg: 0.0439 (0.0514) loss_lansim: 0.0835 (0.0838) loss_contra: 0.0001 (0.0026) time: 2.6153 data: 0.0025 max mem: 31671 Epoch: [23] [ 480/5278] eta: 3:23:35 lr: 2.3036636489360672e-05 loss: 0.0419 (0.0480) loss_seg: 0.0451 (0.0515) loss_lansim: 0.0839 (0.0839) loss_contra: 0.0001 (0.0026) time: 2.6254 data: 0.0025 max mem: 31671 Epoch: [23] [ 490/5278] eta: 3:23:17 lr: 2.3034313324028964e-05 loss: 0.0419 (0.0485) loss_seg: 0.0446 (0.0519) loss_lansim: 0.0839 (0.0840) loss_contra: 0.0001 (0.0025) time: 2.6259 data: 0.0025 max mem: 31671 Epoch: [23] [ 500/5278] eta: 3:22:52 lr: 2.3031990132662875e-05 loss: 0.0411 (0.0484) loss_seg: 0.0439 (0.0518) loss_lansim: 0.0834 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6190 data: 0.0025 max mem: 31671 Epoch: [23] [ 510/5278] eta: 3:22:32 lr: 2.302966691525919e-05 loss: 0.0416 (0.0484) loss_seg: 0.0447 (0.0519) loss_lansim: 0.0824 (0.0839) loss_contra: 0.0001 (0.0026) time: 2.6158 data: 0.0025 max mem: 31671 Epoch: [23] [ 520/5278] eta: 3:22:09 lr: 2.3027343671814695e-05 loss: 0.0416 (0.0484) loss_seg: 0.0447 (0.0519) loss_lansim: 0.0823 (0.0839) loss_contra: 0.0001 (0.0026) time: 2.6111 data: 0.0025 max mem: 31671 Epoch: [23] [ 530/5278] eta: 3:21:46 lr: 2.3025020402326188e-05 loss: 0.0426 (0.0483) loss_seg: 0.0454 (0.0517) loss_lansim: 0.0813 (0.0838) loss_contra: 0.0001 (0.0026) time: 2.6023 data: 0.0025 max mem: 31671 Epoch: [23] [ 540/5278] eta: 3:21:30 lr: 2.302269710679045e-05 loss: 0.0429 (0.0483) loss_seg: 0.0454 (0.0517) loss_lansim: 0.0816 (0.0838) loss_contra: 0.0001 (0.0026) time: 2.6097 data: 0.0025 max mem: 31671 Epoch: [23] [ 550/5278] eta: 3:21:04 lr: 2.302037378520428e-05 loss: 0.0419 (0.0482) loss_seg: 0.0454 (0.0516) loss_lansim: 0.0820 (0.0838) loss_contra: 0.0001 (0.0026) time: 2.6037 data: 0.0025 max mem: 31671 Epoch: [23] [ 560/5278] eta: 3:20:43 lr: 2.3018050437564446e-05 loss: 0.0419 (0.0485) loss_seg: 0.0457 (0.0519) loss_lansim: 0.0816 (0.0838) loss_contra: 0.0001 (0.0025) time: 2.6087 data: 0.0025 max mem: 31671 Epoch: [23] [ 570/5278] eta: 3:20:21 lr: 2.3015727063867746e-05 loss: 0.0419 (0.0484) loss_seg: 0.0460 (0.0519) loss_lansim: 0.0816 (0.0837) loss_contra: 0.0001 (0.0025) time: 2.5989 data: 0.0026 max mem: 31671 Epoch: [23] [ 580/5278] eta: 3:19:57 lr: 2.3013403664110965e-05 loss: 0.0416 (0.0483) loss_seg: 0.0455 (0.0517) loss_lansim: 0.0811 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.5911 data: 0.0026 max mem: 31671 Epoch: [23] [ 590/5278] eta: 3:19:34 lr: 2.301108023829088e-05 loss: 0.0411 (0.0482) loss_seg: 0.0447 (0.0516) loss_lansim: 0.0806 (0.0836) loss_contra: 0.0000 (0.0025) time: 2.5870 data: 0.0026 max mem: 31671 Epoch: [23] [ 600/5278] eta: 3:19:09 lr: 2.3008756786404286e-05 loss: 0.0402 (0.0480) loss_seg: 0.0433 (0.0514) loss_lansim: 0.0820 (0.0836) loss_contra: 0.0000 (0.0025) time: 2.5876 data: 0.0025 max mem: 31671 Epoch: [23] [ 610/5278] eta: 3:18:45 lr: 2.3006433308447957e-05 loss: 0.0394 (0.0480) loss_seg: 0.0420 (0.0514) loss_lansim: 0.0820 (0.0836) loss_contra: 0.0000 (0.0024) time: 2.5861 data: 0.0026 max mem: 31671 Epoch: [23] [ 620/5278] eta: 3:18:22 lr: 2.3004109804418676e-05 loss: 0.0394 (0.0479) loss_seg: 0.0420 (0.0513) loss_lansim: 0.0821 (0.0836) loss_contra: 0.0000 (0.0024) time: 2.5872 data: 0.0026 max mem: 31671 Epoch: [23] [ 630/5278] eta: 3:17:52 lr: 2.300178627431322e-05 loss: 0.0394 (0.0479) loss_seg: 0.0427 (0.0513) loss_lansim: 0.0829 (0.0837) loss_contra: 0.0000 (0.0024) time: 2.5789 data: 0.0026 max mem: 31671 Epoch: [23] [ 640/5278] eta: 3:17:31 lr: 2.2999462718128385e-05 loss: 0.0394 (0.0481) loss_seg: 0.0428 (0.0515) loss_lansim: 0.0824 (0.0837) loss_contra: 0.0000 (0.0023) time: 2.5740 data: 0.0026 max mem: 31671 Epoch: [23] [ 650/5278] eta: 3:16:56 lr: 2.2997139135860938e-05 loss: 0.0418 (0.0485) loss_seg: 0.0455 (0.0519) loss_lansim: 0.0820 (0.0836) loss_contra: 0.0000 (0.0023) time: 2.5625 data: 0.0026 max mem: 31671 Epoch: [23] [ 660/5278] eta: 3:16:31 lr: 2.299481552750766e-05 loss: 0.0431 (0.0488) loss_seg: 0.0458 (0.0523) loss_lansim: 0.0818 (0.0835) loss_contra: 0.0000 (0.0023) time: 2.5575 data: 0.0025 max mem: 31671 Epoch: [23] [ 670/5278] eta: 3:16:05 lr: 2.2992491893065328e-05 loss: 0.0431 (0.0487) loss_seg: 0.0458 (0.0521) loss_lansim: 0.0809 (0.0835) loss_contra: 0.0000 (0.0023) time: 2.5527 data: 0.0025 max mem: 31671 Epoch: [23] [ 680/5278] eta: 3:15:46 lr: 2.299016823253073e-05 loss: 0.0431 (0.0488) loss_seg: 0.0471 (0.0522) loss_lansim: 0.0808 (0.0834) loss_contra: 0.0000 (0.0023) time: 2.5603 data: 0.0025 max mem: 31671 Epoch: [23] [ 690/5278] eta: 3:15:28 lr: 2.2987844545900626e-05 loss: 0.0448 (0.0488) loss_seg: 0.0477 (0.0523) loss_lansim: 0.0808 (0.0834) loss_contra: 0.0000 (0.0024) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [23] [ 700/5278] eta: 3:15:13 lr: 2.29855208331718e-05 loss: 0.0453 (0.0488) loss_seg: 0.0491 (0.0522) loss_lansim: 0.0797 (0.0833) loss_contra: 0.0000 (0.0026) time: 2.5848 data: 0.0026 max mem: 31671 Epoch: [23] [ 710/5278] eta: 3:14:54 lr: 2.298319709434103e-05 loss: 0.0453 (0.0487) loss_seg: 0.0491 (0.0521) loss_lansim: 0.0797 (0.0833) loss_contra: 0.0000 (0.0026) time: 2.5922 data: 0.0025 max mem: 31671 Epoch: [23] [ 720/5278] eta: 3:14:33 lr: 2.298087332940509e-05 loss: 0.0451 (0.0489) loss_seg: 0.0489 (0.0523) loss_lansim: 0.0803 (0.0834) loss_contra: 0.0000 (0.0025) time: 2.5963 data: 0.0025 max mem: 31671 Epoch: [23] [ 730/5278] eta: 3:14:09 lr: 2.297854953836075e-05 loss: 0.0459 (0.0494) loss_seg: 0.0489 (0.0529) loss_lansim: 0.0803 (0.0835) loss_contra: 0.0000 (0.0025) time: 2.6057 data: 0.0025 max mem: 31671 Epoch: [23] [ 740/5278] eta: 3:13:44 lr: 2.2976225721204784e-05 loss: 0.0453 (0.0495) loss_seg: 0.0485 (0.0530) loss_lansim: 0.0809 (0.0835) loss_contra: 0.0000 (0.0026) time: 2.6022 data: 0.0025 max mem: 31671 Epoch: [23] [ 750/5278] eta: 3:13:20 lr: 2.2973901877933963e-05 loss: 0.0448 (0.0496) loss_seg: 0.0468 (0.0531) loss_lansim: 0.0818 (0.0836) loss_contra: 0.0000 (0.0026) time: 2.6187 data: 0.0025 max mem: 31671 Epoch: [23] [ 760/5278] eta: 3:12:55 lr: 2.2971578008545067e-05 loss: 0.0439 (0.0496) loss_seg: 0.0468 (0.0532) loss_lansim: 0.0828 (0.0837) loss_contra: 0.0001 (0.0026) time: 2.6195 data: 0.0026 max mem: 31671 Epoch: [23] [ 770/5278] eta: 3:12:30 lr: 2.296925411303485e-05 loss: 0.0455 (0.0497) loss_seg: 0.0482 (0.0533) loss_lansim: 0.0834 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6210 data: 0.0026 max mem: 31671 Epoch: [23] [ 780/5278] eta: 3:12:07 lr: 2.2966930191400095e-05 loss: 0.0439 (0.0496) loss_seg: 0.0467 (0.0531) loss_lansim: 0.0839 (0.0838) loss_contra: 0.0000 (0.0027) time: 2.6170 data: 0.0026 max mem: 31671 Epoch: [23] [ 790/5278] eta: 3:11:46 lr: 2.2964606243637572e-05 loss: 0.0439 (0.0495) loss_seg: 0.0467 (0.0530) loss_lansim: 0.0848 (0.0838) loss_contra: 0.0001 (0.0027) time: 2.6153 data: 0.0026 max mem: 31671 Epoch: [23] [ 800/5278] eta: 3:11:25 lr: 2.2962282269744045e-05 loss: 0.0434 (0.0495) loss_seg: 0.0465 (0.0530) loss_lansim: 0.0863 (0.0838) loss_contra: 0.0001 (0.0027) time: 2.6088 data: 0.0026 max mem: 31671 Epoch: [23] [ 810/5278] eta: 3:11:03 lr: 2.295995826971628e-05 loss: 0.0434 (0.0494) loss_seg: 0.0465 (0.0528) loss_lansim: 0.0859 (0.0838) loss_contra: 0.0000 (0.0027) time: 2.6049 data: 0.0026 max mem: 31671 Epoch: [23] [ 820/5278] eta: 3:10:37 lr: 2.295763424355104e-05 loss: 0.0448 (0.0493) loss_seg: 0.0479 (0.0528) loss_lansim: 0.0858 (0.0838) loss_contra: 0.0001 (0.0026) time: 2.5987 data: 0.0026 max mem: 31671 Epoch: [23] [ 830/5278] eta: 3:10:09 lr: 2.29553101912451e-05 loss: 0.0434 (0.0494) loss_seg: 0.0457 (0.0530) loss_lansim: 0.0859 (0.0839) loss_contra: 0.0001 (0.0027) time: 2.5910 data: 0.0026 max mem: 31671 Epoch: [23] [ 840/5278] eta: 3:09:44 lr: 2.295298611279522e-05 loss: 0.0439 (0.0494) loss_seg: 0.0465 (0.0529) loss_lansim: 0.0852 (0.0839) loss_contra: 0.0001 (0.0027) time: 2.5932 data: 0.0026 max mem: 31671 Epoch: [23] [ 850/5278] eta: 3:09:20 lr: 2.2950662008198177e-05 loss: 0.0441 (0.0495) loss_seg: 0.0479 (0.0530) loss_lansim: 0.0852 (0.0840) loss_contra: 0.0001 (0.0027) time: 2.5929 data: 0.0027 max mem: 31671 Epoch: [23] [ 860/5278] eta: 3:08:58 lr: 2.2948337877450713e-05 loss: 0.0422 (0.0494) loss_seg: 0.0457 (0.0529) loss_lansim: 0.0852 (0.0840) loss_contra: 0.0001 (0.0027) time: 2.5996 data: 0.0027 max mem: 31671 Epoch: [23] [ 870/5278] eta: 3:08:32 lr: 2.2946013720549606e-05 loss: 0.0415 (0.0494) loss_seg: 0.0456 (0.0529) loss_lansim: 0.0848 (0.0840) loss_contra: 0.0001 (0.0028) time: 2.5990 data: 0.0026 max mem: 31671 Epoch: [23] [ 880/5278] eta: 3:08:10 lr: 2.2943689537491613e-05 loss: 0.0447 (0.0495) loss_seg: 0.0482 (0.0530) loss_lansim: 0.0858 (0.0841) loss_contra: 0.0001 (0.0028) time: 2.6016 data: 0.0026 max mem: 31671 Epoch: [23] [ 890/5278] eta: 3:07:40 lr: 2.2941365328273502e-05 loss: 0.0447 (0.0495) loss_seg: 0.0482 (0.0531) loss_lansim: 0.0866 (0.0842) loss_contra: 0.0001 (0.0028) time: 2.5866 data: 0.0026 max mem: 31671 Epoch: [23] [ 900/5278] eta: 3:07:13 lr: 2.293904109289202e-05 loss: 0.0447 (0.0497) loss_seg: 0.0485 (0.0533) loss_lansim: 0.0859 (0.0842) loss_contra: 0.0001 (0.0028) time: 2.5735 data: 0.0026 max mem: 31671 Epoch: [23] [ 910/5278] eta: 3:06:50 lr: 2.293671683134394e-05 loss: 0.0447 (0.0497) loss_seg: 0.0481 (0.0532) loss_lansim: 0.0866 (0.0842) loss_contra: 0.0001 (0.0027) time: 2.5730 data: 0.0026 max mem: 31671 Epoch: [23] [ 920/5278] eta: 3:06:27 lr: 2.2934392543626017e-05 loss: 0.0420 (0.0496) loss_seg: 0.0450 (0.0531) loss_lansim: 0.0878 (0.0842) loss_contra: 0.0000 (0.0027) time: 2.5796 data: 0.0026 max mem: 31671 Epoch: [23] [ 930/5278] eta: 3:06:04 lr: 2.293206822973501e-05 loss: 0.0438 (0.0496) loss_seg: 0.0468 (0.0531) loss_lansim: 0.0859 (0.0842) loss_contra: 0.0000 (0.0027) time: 2.5906 data: 0.0026 max mem: 31671 Epoch: [23] [ 940/5278] eta: 3:05:38 lr: 2.2929743889667672e-05 loss: 0.0447 (0.0498) loss_seg: 0.0485 (0.0534) loss_lansim: 0.0859 (0.0842) loss_contra: 0.0000 (0.0027) time: 2.5863 data: 0.0026 max mem: 31671 Epoch: [23] [ 950/5278] eta: 3:05:12 lr: 2.2927419523420766e-05 loss: 0.0447 (0.0500) loss_seg: 0.0487 (0.0536) loss_lansim: 0.0852 (0.0842) loss_contra: 0.0000 (0.0027) time: 2.5839 data: 0.0026 max mem: 31671 Epoch: [23] [ 960/5278] eta: 3:04:46 lr: 2.292509513099104e-05 loss: 0.0447 (0.0499) loss_seg: 0.0488 (0.0535) loss_lansim: 0.0852 (0.0842) loss_contra: 0.0000 (0.0028) time: 2.5781 data: 0.0026 max mem: 31671 Epoch: [23] [ 970/5278] eta: 3:04:24 lr: 2.2922770712375266e-05 loss: 0.0447 (0.0499) loss_seg: 0.0491 (0.0535) loss_lansim: 0.0859 (0.0842) loss_contra: 0.0000 (0.0028) time: 2.5857 data: 0.0026 max mem: 31671 Epoch: [23] [ 980/5278] eta: 3:03:59 lr: 2.292044626757018e-05 loss: 0.0443 (0.0499) loss_seg: 0.0480 (0.0535) loss_lansim: 0.0843 (0.0842) loss_contra: 0.0000 (0.0028) time: 2.5817 data: 0.0026 max mem: 31671 Epoch: [23] [ 990/5278] eta: 3:03:35 lr: 2.2918121796572546e-05 loss: 0.0438 (0.0499) loss_seg: 0.0477 (0.0535) loss_lansim: 0.0810 (0.0841) loss_contra: 0.0000 (0.0028) time: 2.5926 data: 0.0026 max mem: 31671 Epoch: [23] [1000/5278] eta: 3:03:11 lr: 2.291579729937911e-05 loss: 0.0438 (0.0498) loss_seg: 0.0472 (0.0534) loss_lansim: 0.0810 (0.0841) loss_contra: 0.0000 (0.0028) time: 2.5999 data: 0.0026 max mem: 31671 Epoch: [23] [1010/5278] eta: 3:02:44 lr: 2.291347277598664e-05 loss: 0.0443 (0.0498) loss_seg: 0.0480 (0.0533) loss_lansim: 0.0810 (0.0841) loss_contra: 0.0000 (0.0028) time: 2.5925 data: 0.0026 max mem: 31671 Epoch: [23] [1020/5278] eta: 3:02:18 lr: 2.2911148226391866e-05 loss: 0.0443 (0.0496) loss_seg: 0.0480 (0.0532) loss_lansim: 0.0810 (0.0841) loss_contra: 0.0000 (0.0028) time: 2.5850 data: 0.0027 max mem: 31671 Epoch: [23] [1030/5278] eta: 3:01:52 lr: 2.290882365059155e-05 loss: 0.0447 (0.0499) loss_seg: 0.0484 (0.0535) loss_lansim: 0.0812 (0.0841) loss_contra: 0.0000 (0.0028) time: 2.5797 data: 0.0027 max mem: 31671 Epoch: [23] [1040/5278] eta: 3:01:27 lr: 2.2906499048582438e-05 loss: 0.0417 (0.0498) loss_seg: 0.0431 (0.0533) loss_lansim: 0.0810 (0.0841) loss_contra: 0.0000 (0.0028) time: 2.5827 data: 0.0027 max mem: 31671 Epoch: [23] [1050/5278] eta: 3:01:03 lr: 2.2904174420361292e-05 loss: 0.0383 (0.0497) loss_seg: 0.0419 (0.0533) loss_lansim: 0.0811 (0.0841) loss_contra: 0.0000 (0.0028) time: 2.5879 data: 0.0026 max mem: 31671 Epoch: [23] [1060/5278] eta: 3:00:42 lr: 2.2901849765924842e-05 loss: 0.0383 (0.0498) loss_seg: 0.0419 (0.0534) loss_lansim: 0.0812 (0.0842) loss_contra: 0.0001 (0.0028) time: 2.5988 data: 0.0026 max mem: 31671 Epoch: [23] [1070/5278] eta: 3:00:17 lr: 2.2899525085269846e-05 loss: 0.0376 (0.0498) loss_seg: 0.0411 (0.0534) loss_lansim: 0.0815 (0.0842) loss_contra: 0.0001 (0.0028) time: 2.5943 data: 0.0026 max mem: 31671 Epoch: [23] [1080/5278] eta: 2:59:55 lr: 2.2897200378393048e-05 loss: 0.0369 (0.0496) loss_seg: 0.0399 (0.0532) loss_lansim: 0.0812 (0.0841) loss_contra: 0.0001 (0.0027) time: 2.6010 data: 0.0026 max mem: 31671 Epoch: [23] [1090/5278] eta: 2:59:27 lr: 2.28948756452912e-05 loss: 0.0363 (0.0504) loss_seg: 0.0396 (0.0540) loss_lansim: 0.0826 (0.0841) loss_contra: 0.0001 (0.0028) time: 2.5911 data: 0.0026 max mem: 31671 Epoch: [23] [1100/5278] eta: 2:59:03 lr: 2.2892550885961038e-05 loss: 0.0375 (0.0504) loss_seg: 0.0396 (0.0540) loss_lansim: 0.0827 (0.0841) loss_contra: 0.0001 (0.0028) time: 2.5940 data: 0.0025 max mem: 31671 Epoch: [23] [1110/5278] eta: 2:58:34 lr: 2.289022610039931e-05 loss: 0.0375 (0.0504) loss_seg: 0.0388 (0.0539) loss_lansim: 0.0844 (0.0842) loss_contra: 0.0001 (0.0028) time: 2.5868 data: 0.0025 max mem: 31671 Epoch: [23] [1120/5278] eta: 2:58:07 lr: 2.2887901288602764e-05 loss: 0.0383 (0.0503) loss_seg: 0.0413 (0.0539) loss_lansim: 0.0844 (0.0842) loss_contra: 0.0001 (0.0028) time: 2.5866 data: 0.0025 max mem: 31671 Epoch: [23] [1130/5278] eta: 2:57:40 lr: 2.2885576450568135e-05 loss: 0.0395 (0.0504) loss_seg: 0.0429 (0.0540) loss_lansim: 0.0845 (0.0843) loss_contra: 0.0001 (0.0028) time: 2.5807 data: 0.0025 max mem: 31671 Epoch: [23] [1140/5278] eta: 2:57:12 lr: 2.288325158629218e-05 loss: 0.0408 (0.0504) loss_seg: 0.0442 (0.0539) loss_lansim: 0.0845 (0.0843) loss_contra: 0.0001 (0.0028) time: 2.5749 data: 0.0025 max mem: 31671 Epoch: [23] [1150/5278] eta: 2:56:47 lr: 2.2880926695771624e-05 loss: 0.0427 (0.0505) loss_seg: 0.0449 (0.0541) loss_lansim: 0.0848 (0.0843) loss_contra: 0.0001 (0.0028) time: 2.5717 data: 0.0025 max mem: 31671 Epoch: [23] [1160/5278] eta: 2:56:22 lr: 2.2878601779003212e-05 loss: 0.0408 (0.0505) loss_seg: 0.0442 (0.0540) loss_lansim: 0.0848 (0.0843) loss_contra: 0.0000 (0.0028) time: 2.5614 data: 0.0025 max mem: 31671 Epoch: [23] [1170/5278] eta: 2:55:58 lr: 2.2876276835983688e-05 loss: 0.0414 (0.0505) loss_seg: 0.0448 (0.0541) loss_lansim: 0.0832 (0.0843) loss_contra: 0.0000 (0.0028) time: 2.5640 data: 0.0025 max mem: 31671 Epoch: [23] [1180/5278] eta: 2:55:30 lr: 2.287395186670979e-05 loss: 0.0452 (0.0505) loss_seg: 0.0476 (0.0541) loss_lansim: 0.0848 (0.0842) loss_contra: 0.0001 (0.0027) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [23] [1190/5278] eta: 2:55:07 lr: 2.2871626871178256e-05 loss: 0.0452 (0.0505) loss_seg: 0.0476 (0.0540) loss_lansim: 0.0848 (0.0843) loss_contra: 0.0001 (0.0029) time: 2.5629 data: 0.0025 max mem: 31671 Epoch: [23] [1200/5278] eta: 2:54:40 lr: 2.2869301849385823e-05 loss: 0.0439 (0.0505) loss_seg: 0.0453 (0.0541) loss_lansim: 0.0848 (0.0843) loss_contra: 0.0000 (0.0028) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [23] [1210/5278] eta: 2:54:15 lr: 2.2866976801329225e-05 loss: 0.0456 (0.0506) loss_seg: 0.0490 (0.0542) loss_lansim: 0.0847 (0.0843) loss_contra: 0.0001 (0.0028) time: 2.5662 data: 0.0026 max mem: 31671 Epoch: [23] [1220/5278] eta: 2:53:49 lr: 2.2864651727005208e-05 loss: 0.0453 (0.0506) loss_seg: 0.0476 (0.0542) loss_lansim: 0.0848 (0.0844) loss_contra: 0.0001 (0.0029) time: 2.5654 data: 0.0026 max mem: 31671 Epoch: [23] [1230/5278] eta: 2:53:24 lr: 2.2862326626410498e-05 loss: 0.0414 (0.0505) loss_seg: 0.0442 (0.0541) loss_lansim: 0.0847 (0.0843) loss_contra: 0.0000 (0.0029) time: 2.5737 data: 0.0026 max mem: 31671 Epoch: [23] [1240/5278] eta: 2:53:01 lr: 2.286000149954183e-05 loss: 0.0453 (0.0507) loss_seg: 0.0490 (0.0543) loss_lansim: 0.0852 (0.0844) loss_contra: 0.0001 (0.0030) time: 2.5872 data: 0.0026 max mem: 31671 Epoch: [23] [1250/5278] eta: 2:52:34 lr: 2.2857676346395934e-05 loss: 0.0458 (0.0508) loss_seg: 0.0500 (0.0543) loss_lansim: 0.0852 (0.0844) loss_contra: 0.0000 (0.0030) time: 2.5823 data: 0.0026 max mem: 31671 Epoch: [23] [1260/5278] eta: 2:52:11 lr: 2.285535116696956e-05 loss: 0.0486 (0.0508) loss_seg: 0.0526 (0.0544) loss_lansim: 0.0869 (0.0845) loss_contra: 0.0001 (0.0030) time: 2.5892 data: 0.0026 max mem: 31671 Epoch: [23] [1270/5278] eta: 2:51:45 lr: 2.285302596125942e-05 loss: 0.0486 (0.0509) loss_seg: 0.0526 (0.0545) loss_lansim: 0.0900 (0.0846) loss_contra: 0.0000 (0.0030) time: 2.5834 data: 0.0026 max mem: 31671 Epoch: [23] [1280/5278] eta: 2:51:19 lr: 2.285070072926226e-05 loss: 0.0478 (0.0509) loss_seg: 0.0521 (0.0545) loss_lansim: 0.0906 (0.0846) loss_contra: 0.0000 (0.0029) time: 2.5872 data: 0.0026 max mem: 31671 Epoch: [23] [1290/5278] eta: 2:50:53 lr: 2.28483754709748e-05 loss: 0.0486 (0.0509) loss_seg: 0.0526 (0.0545) loss_lansim: 0.0900 (0.0846) loss_contra: 0.0000 (0.0029) time: 2.5803 data: 0.0025 max mem: 31671 Epoch: [23] [1300/5278] eta: 2:50:29 lr: 2.2846050186393782e-05 loss: 0.0486 (0.0510) loss_seg: 0.0529 (0.0546) loss_lansim: 0.0900 (0.0846) loss_contra: 0.0001 (0.0029) time: 2.5918 data: 0.0026 max mem: 31671 Epoch: [23] [1310/5278] eta: 2:50:06 lr: 2.2843724875515923e-05 loss: 0.0486 (0.0510) loss_seg: 0.0527 (0.0546) loss_lansim: 0.0906 (0.0846) loss_contra: 0.0001 (0.0029) time: 2.5950 data: 0.0026 max mem: 31671 Epoch: [23] [1320/5278] eta: 2:49:42 lr: 2.2841399538337958e-05 loss: 0.0486 (0.0510) loss_seg: 0.0527 (0.0546) loss_lansim: 0.0891 (0.0847) loss_contra: 0.0000 (0.0029) time: 2.6028 data: 0.0025 max mem: 31671 Epoch: [23] [1330/5278] eta: 2:49:15 lr: 2.2839074174856608e-05 loss: 0.0494 (0.0511) loss_seg: 0.0540 (0.0547) loss_lansim: 0.0896 (0.0847) loss_contra: 0.0000 (0.0029) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [23] [1340/5278] eta: 2:48:51 lr: 2.2836748785068607e-05 loss: 0.0490 (0.0510) loss_seg: 0.0535 (0.0547) loss_lansim: 0.0887 (0.0847) loss_contra: 0.0000 (0.0029) time: 2.5943 data: 0.0026 max mem: 31671 Epoch: [23] [1350/5278] eta: 2:48:25 lr: 2.2834423368970685e-05 loss: 0.0486 (0.0510) loss_seg: 0.0529 (0.0547) loss_lansim: 0.0890 (0.0847) loss_contra: 0.0000 (0.0029) time: 2.5977 data: 0.0026 max mem: 31671 Epoch: [23] [1360/5278] eta: 2:48:00 lr: 2.2832097926559552e-05 loss: 0.0480 (0.0511) loss_seg: 0.0526 (0.0547) loss_lansim: 0.0884 (0.0848) loss_contra: 0.0001 (0.0033) time: 2.5933 data: 0.0026 max mem: 31671 Epoch: [23] [1370/5278] eta: 2:47:34 lr: 2.2829772457831943e-05 loss: 0.0470 (0.0510) loss_seg: 0.0512 (0.0546) loss_lansim: 0.0887 (0.0848) loss_contra: 0.0001 (0.0033) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [23] [1380/5278] eta: 2:47:09 lr: 2.282744696278458e-05 loss: 0.0480 (0.0511) loss_seg: 0.0527 (0.0548) loss_lansim: 0.0875 (0.0848) loss_contra: 0.0001 (0.0033) time: 2.5973 data: 0.0026 max mem: 31671 Epoch: [23] [1390/5278] eta: 2:46:43 lr: 2.2825121441414192e-05 loss: 0.0479 (0.0511) loss_seg: 0.0516 (0.0547) loss_lansim: 0.0857 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.5972 data: 0.0026 max mem: 31671 Epoch: [23] [1400/5278] eta: 2:46:19 lr: 2.2822795893717487e-05 loss: 0.0479 (0.0511) loss_seg: 0.0516 (0.0548) loss_lansim: 0.0863 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.5948 data: 0.0026 max mem: 31671 Epoch: [23] [1410/5278] eta: 2:45:54 lr: 2.2820470319691194e-05 loss: 0.0449 (0.0510) loss_seg: 0.0475 (0.0547) loss_lansim: 0.0875 (0.0849) loss_contra: 0.0001 (0.0032) time: 2.5922 data: 0.0026 max mem: 31671 Epoch: [23] [1420/5278] eta: 2:45:29 lr: 2.2818144719332032e-05 loss: 0.0447 (0.0511) loss_seg: 0.0466 (0.0547) loss_lansim: 0.0845 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.5910 data: 0.0026 max mem: 31671 Epoch: [23] [1430/5278] eta: 2:45:03 lr: 2.2815819092636732e-05 loss: 0.0419 (0.0512) loss_seg: 0.0450 (0.0548) loss_lansim: 0.0845 (0.0849) loss_contra: 0.0001 (0.0032) time: 2.5914 data: 0.0026 max mem: 31671 Epoch: [23] [1440/5278] eta: 2:44:41 lr: 2.2813493439601997e-05 loss: 0.0419 (0.0512) loss_seg: 0.0443 (0.0549) loss_lansim: 0.0856 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.5996 data: 0.0026 max mem: 31671 Epoch: [23] [1450/5278] eta: 2:44:14 lr: 2.2811167760224548e-05 loss: 0.0424 (0.0513) loss_seg: 0.0458 (0.0549) loss_lansim: 0.0844 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [23] [1460/5278] eta: 2:43:48 lr: 2.2808842054501108e-05 loss: 0.0432 (0.0513) loss_seg: 0.0465 (0.0549) loss_lansim: 0.0841 (0.0849) loss_contra: 0.0001 (0.0032) time: 2.5916 data: 0.0026 max mem: 31671 Epoch: [23] [1470/5278] eta: 2:43:22 lr: 2.2806516322428393e-05 loss: 0.0475 (0.0515) loss_seg: 0.0519 (0.0552) loss_lansim: 0.0838 (0.0848) loss_contra: 0.0000 (0.0032) time: 2.5945 data: 0.0026 max mem: 31671 Epoch: [23] [1480/5278] eta: 2:42:59 lr: 2.2804190564003116e-05 loss: 0.0449 (0.0515) loss_seg: 0.0473 (0.0551) loss_lansim: 0.0832 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.6025 data: 0.0026 max mem: 31671 Epoch: [23] [1490/5278] eta: 2:42:35 lr: 2.2801864779221994e-05 loss: 0.0455 (0.0515) loss_seg: 0.0498 (0.0552) loss_lansim: 0.0838 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.6091 data: 0.0026 max mem: 31671 Epoch: [23] [1500/5278] eta: 2:42:12 lr: 2.279953896808174e-05 loss: 0.0468 (0.0515) loss_seg: 0.0500 (0.0552) loss_lansim: 0.0839 (0.0848) loss_contra: 0.0001 (0.0031) time: 2.6165 data: 0.0025 max mem: 31671 Epoch: [23] [1510/5278] eta: 2:41:46 lr: 2.279721313057907e-05 loss: 0.0499 (0.0516) loss_seg: 0.0546 (0.0553) loss_lansim: 0.0833 (0.0848) loss_contra: 0.0001 (0.0031) time: 2.6114 data: 0.0025 max mem: 31671 Epoch: [23] [1520/5278] eta: 2:41:21 lr: 2.2794887266710694e-05 loss: 0.0499 (0.0517) loss_seg: 0.0546 (0.0554) loss_lansim: 0.0839 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.6113 data: 0.0025 max mem: 31671 Epoch: [23] [1530/5278] eta: 2:40:55 lr: 2.279256137647332e-05 loss: 0.0509 (0.0517) loss_seg: 0.0562 (0.0555) loss_lansim: 0.0833 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.6108 data: 0.0025 max mem: 31671 Epoch: [23] [1540/5278] eta: 2:40:30 lr: 2.2790235459863667e-05 loss: 0.0515 (0.0518) loss_seg: 0.0562 (0.0555) loss_lansim: 0.0833 (0.0849) loss_contra: 0.0001 (0.0032) time: 2.6046 data: 0.0025 max mem: 31671 Epoch: [23] [1550/5278] eta: 2:40:05 lr: 2.2787909516878444e-05 loss: 0.0481 (0.0518) loss_seg: 0.0522 (0.0555) loss_lansim: 0.0833 (0.0848) loss_contra: 0.0001 (0.0031) time: 2.6095 data: 0.0025 max mem: 31671 Epoch: [23] [1560/5278] eta: 2:39:39 lr: 2.278558354751436e-05 loss: 0.0475 (0.0517) loss_seg: 0.0519 (0.0554) loss_lansim: 0.0826 (0.0848) loss_contra: 0.0001 (0.0031) time: 2.6114 data: 0.0025 max mem: 31671 Epoch: [23] [1570/5278] eta: 2:39:17 lr: 2.2783257551768116e-05 loss: 0.0474 (0.0518) loss_seg: 0.0514 (0.0555) loss_lansim: 0.0826 (0.0848) loss_contra: 0.0000 (0.0031) time: 2.6248 data: 0.0025 max mem: 31671 Epoch: [23] [1580/5278] eta: 2:38:51 lr: 2.278093152963643e-05 loss: 0.0483 (0.0518) loss_seg: 0.0520 (0.0555) loss_lansim: 0.0826 (0.0848) loss_contra: 0.0000 (0.0031) time: 2.6143 data: 0.0026 max mem: 31671 Epoch: [23] [1590/5278] eta: 2:38:25 lr: 2.2778605481116004e-05 loss: 0.0489 (0.0518) loss_seg: 0.0524 (0.0556) loss_lansim: 0.0826 (0.0848) loss_contra: 0.0000 (0.0031) time: 2.6079 data: 0.0025 max mem: 31671 Epoch: [23] [1600/5278] eta: 2:38:01 lr: 2.277627940620355e-05 loss: 0.0508 (0.0520) loss_seg: 0.0547 (0.0557) loss_lansim: 0.0827 (0.0848) loss_contra: 0.0001 (0.0031) time: 2.6048 data: 0.0026 max mem: 31671 Epoch: [23] [1610/5278] eta: 2:37:33 lr: 2.2773953304895768e-05 loss: 0.0494 (0.0520) loss_seg: 0.0520 (0.0557) loss_lansim: 0.0827 (0.0848) loss_contra: 0.0001 (0.0032) time: 2.5963 data: 0.0026 max mem: 31671 Epoch: [23] [1620/5278] eta: 2:37:09 lr: 2.2771627177189363e-05 loss: 0.0506 (0.0521) loss_seg: 0.0558 (0.0558) loss_lansim: 0.0833 (0.0849) loss_contra: 0.0001 (0.0031) time: 2.6006 data: 0.0026 max mem: 31671 Epoch: [23] [1630/5278] eta: 2:36:44 lr: 2.2769301023081043e-05 loss: 0.0528 (0.0521) loss_seg: 0.0559 (0.0559) loss_lansim: 0.0837 (0.0849) loss_contra: 0.0001 (0.0031) time: 2.6068 data: 0.0026 max mem: 31671 Epoch: [23] [1640/5278] eta: 2:36:17 lr: 2.276697484256751e-05 loss: 0.0485 (0.0520) loss_seg: 0.0510 (0.0557) loss_lansim: 0.0844 (0.0849) loss_contra: 0.0001 (0.0031) time: 2.5969 data: 0.0026 max mem: 31671 Epoch: [23] [1650/5278] eta: 2:35:52 lr: 2.2764648635645467e-05 loss: 0.0505 (0.0520) loss_seg: 0.0520 (0.0557) loss_lansim: 0.0837 (0.0849) loss_contra: 0.0001 (0.0031) time: 2.5963 data: 0.0026 max mem: 31671 Epoch: [23] [1660/5278] eta: 2:35:26 lr: 2.2762322402311608e-05 loss: 0.0506 (0.0520) loss_seg: 0.0528 (0.0558) loss_lansim: 0.0829 (0.0849) loss_contra: 0.0001 (0.0031) time: 2.5990 data: 0.0025 max mem: 31671 Epoch: [23] [1670/5278] eta: 2:34:59 lr: 2.2759996142562646e-05 loss: 0.0494 (0.0520) loss_seg: 0.0504 (0.0557) loss_lansim: 0.0841 (0.0849) loss_contra: 0.0001 (0.0032) time: 2.5778 data: 0.0025 max mem: 31671 Epoch: [23] [1680/5278] eta: 2:34:34 lr: 2.2757669856395276e-05 loss: 0.0449 (0.0519) loss_seg: 0.0494 (0.0556) loss_lansim: 0.0844 (0.0849) loss_contra: 0.0001 (0.0032) time: 2.5798 data: 0.0025 max mem: 31671 Epoch: [23] [1690/5278] eta: 2:34:08 lr: 2.2755343543806194e-05 loss: 0.0417 (0.0519) loss_seg: 0.0454 (0.0557) loss_lansim: 0.0844 (0.0849) loss_contra: 0.0000 (0.0032) time: 2.5807 data: 0.0025 max mem: 31671 Epoch: [23] [1700/5278] eta: 2:33:41 lr: 2.27530172047921e-05 loss: 0.0413 (0.0519) loss_seg: 0.0429 (0.0556) loss_lansim: 0.0847 (0.0849) loss_contra: 0.0000 (0.0032) time: 2.5677 data: 0.0025 max mem: 31671 Epoch: [23] [1710/5278] eta: 2:33:16 lr: 2.2750690839349693e-05 loss: 0.0395 (0.0518) loss_seg: 0.0427 (0.0556) loss_lansim: 0.0851 (0.0850) loss_contra: 0.0000 (0.0032) time: 2.5787 data: 0.0025 max mem: 31671 Epoch: [23] [1720/5278] eta: 2:32:50 lr: 2.2748364447475677e-05 loss: 0.0398 (0.0519) loss_seg: 0.0429 (0.0556) loss_lansim: 0.0847 (0.0850) loss_contra: 0.0000 (0.0032) time: 2.5722 data: 0.0024 max mem: 31671 Epoch: [23] [1730/5278] eta: 2:32:23 lr: 2.2746038029166735e-05 loss: 0.0398 (0.0520) loss_seg: 0.0429 (0.0557) loss_lansim: 0.0847 (0.0850) loss_contra: 0.0000 (0.0032) time: 2.5631 data: 0.0024 max mem: 31671 Epoch: [23] [1740/5278] eta: 2:31:57 lr: 2.2743711584419568e-05 loss: 0.0420 (0.0520) loss_seg: 0.0454 (0.0558) loss_lansim: 0.0838 (0.0849) loss_contra: 0.0000 (0.0031) time: 2.5666 data: 0.0024 max mem: 31671 Epoch: [23] [1750/5278] eta: 2:31:33 lr: 2.2741385113230874e-05 loss: 0.0398 (0.0520) loss_seg: 0.0438 (0.0557) loss_lansim: 0.0843 (0.0850) loss_contra: 0.0000 (0.0031) time: 2.5724 data: 0.0024 max mem: 31671 Epoch: [23] [1760/5278] eta: 2:31:06 lr: 2.2739058615597348e-05 loss: 0.0408 (0.0519) loss_seg: 0.0438 (0.0556) loss_lansim: 0.0843 (0.0849) loss_contra: 0.0000 (0.0031) time: 2.5651 data: 0.0024 max mem: 31671 Epoch: [23] [1770/5278] eta: 2:30:41 lr: 2.2736732091515675e-05 loss: 0.0413 (0.0519) loss_seg: 0.0451 (0.0556) loss_lansim: 0.0839 (0.0849) loss_contra: 0.0001 (0.0031) time: 2.5755 data: 0.0024 max mem: 31671 Epoch: [23] [1780/5278] eta: 2:30:17 lr: 2.273440554098255e-05 loss: 0.0413 (0.0518) loss_seg: 0.0449 (0.0556) loss_lansim: 0.0834 (0.0849) loss_contra: 0.0001 (0.0031) time: 2.5836 data: 0.0024 max mem: 31671 Epoch: [23] [1790/5278] eta: 2:29:51 lr: 2.2732078963994667e-05 loss: 0.0420 (0.0518) loss_seg: 0.0449 (0.0555) loss_lansim: 0.0838 (0.0850) loss_contra: 0.0001 (0.0031) time: 2.5840 data: 0.0024 max mem: 31671 Epoch: [23] [1800/5278] eta: 2:29:26 lr: 2.2729752360548718e-05 loss: 0.0426 (0.0519) loss_seg: 0.0463 (0.0556) loss_lansim: 0.0840 (0.0850) loss_contra: 0.0001 (0.0031) time: 2.5892 data: 0.0024 max mem: 31671 Epoch: [23] [1810/5278] eta: 2:29:01 lr: 2.2727425730641395e-05 loss: 0.0427 (0.0519) loss_seg: 0.0463 (0.0556) loss_lansim: 0.0838 (0.0850) loss_contra: 0.0001 (0.0031) time: 2.5912 data: 0.0025 max mem: 31671 Epoch: [23] [1820/5278] eta: 2:28:36 lr: 2.2725099074269378e-05 loss: 0.0406 (0.0518) loss_seg: 0.0444 (0.0555) loss_lansim: 0.0846 (0.0851) loss_contra: 0.0001 (0.0031) time: 2.5994 data: 0.0025 max mem: 31671 Epoch: [23] [1830/5278] eta: 2:28:13 lr: 2.2722772391429357e-05 loss: 0.0408 (0.0518) loss_seg: 0.0445 (0.0556) loss_lansim: 0.0840 (0.0851) loss_contra: 0.0001 (0.0032) time: 2.6159 data: 0.0025 max mem: 31671 Epoch: [23] [1840/5278] eta: 2:27:46 lr: 2.2720445682118024e-05 loss: 0.0408 (0.0518) loss_seg: 0.0445 (0.0555) loss_lansim: 0.0848 (0.0851) loss_contra: 0.0001 (0.0032) time: 2.6110 data: 0.0026 max mem: 31671 Epoch: [23] [1850/5278] eta: 2:27:21 lr: 2.271811894633207e-05 loss: 0.0408 (0.0518) loss_seg: 0.0449 (0.0555) loss_lansim: 0.0852 (0.0851) loss_contra: 0.0001 (0.0032) time: 2.6091 data: 0.0026 max mem: 31671 Epoch: [23] [1860/5278] eta: 2:26:56 lr: 2.2715792184068172e-05 loss: 0.0416 (0.0518) loss_seg: 0.0449 (0.0555) loss_lansim: 0.0855 (0.0851) loss_contra: 0.0001 (0.0032) time: 2.6211 data: 0.0026 max mem: 31671 Epoch: [23] [1870/5278] eta: 2:26:32 lr: 2.2713465395323015e-05 loss: 0.0416 (0.0518) loss_seg: 0.0454 (0.0556) loss_lansim: 0.0851 (0.0850) loss_contra: 0.0001 (0.0032) time: 2.6251 data: 0.0026 max mem: 31671 Epoch: [23] [1880/5278] eta: 2:26:05 lr: 2.2711138580093293e-05 loss: 0.0432 (0.0518) loss_seg: 0.0463 (0.0555) loss_lansim: 0.0862 (0.0851) loss_contra: 0.0001 (0.0032) time: 2.6105 data: 0.0026 max mem: 31671 Epoch: [23] [1890/5278] eta: 2:25:40 lr: 2.270881173837568e-05 loss: 0.0416 (0.0517) loss_seg: 0.0449 (0.0555) loss_lansim: 0.0852 (0.0850) loss_contra: 0.0001 (0.0032) time: 2.6111 data: 0.0026 max mem: 31671 Epoch: [23] [1900/5278] eta: 2:25:14 lr: 2.2706484870166864e-05 loss: 0.0408 (0.0518) loss_seg: 0.0446 (0.0555) loss_lansim: 0.0847 (0.0851) loss_contra: 0.0001 (0.0032) time: 2.6138 data: 0.0026 max mem: 31671 Epoch: [23] [1910/5278] eta: 2:24:48 lr: 2.2704157975463526e-05 loss: 0.0410 (0.0518) loss_seg: 0.0448 (0.0556) loss_lansim: 0.0851 (0.0851) loss_contra: 0.0001 (0.0032) time: 2.6080 data: 0.0026 max mem: 31671 Epoch: [23] [1920/5278] eta: 2:24:21 lr: 2.270183105426234e-05 loss: 0.0416 (0.0518) loss_seg: 0.0451 (0.0555) loss_lansim: 0.0839 (0.0851) loss_contra: 0.0001 (0.0032) time: 2.5950 data: 0.0026 max mem: 31671 Epoch: [23] [1930/5278] eta: 2:23:57 lr: 2.269950410656e-05 loss: 0.0408 (0.0517) loss_seg: 0.0447 (0.0555) loss_lansim: 0.0839 (0.0851) loss_contra: 0.0001 (0.0031) time: 2.5931 data: 0.0026 max mem: 31671 Epoch: [23] [1940/5278] eta: 2:23:32 lr: 2.2697177132353178e-05 loss: 0.0406 (0.0517) loss_seg: 0.0446 (0.0555) loss_lansim: 0.0847 (0.0851) loss_contra: 0.0001 (0.0031) time: 2.6026 data: 0.0025 max mem: 31671 Epoch: [23] [1950/5278] eta: 2:23:07 lr: 2.2694850131638547e-05 loss: 0.0410 (0.0517) loss_seg: 0.0448 (0.0554) loss_lansim: 0.0844 (0.0851) loss_contra: 0.0000 (0.0031) time: 2.6034 data: 0.0026 max mem: 31671 Epoch: [23] [1960/5278] eta: 2:22:42 lr: 2.2692523104412796e-05 loss: 0.0429 (0.0518) loss_seg: 0.0462 (0.0555) loss_lansim: 0.0853 (0.0851) loss_contra: 0.0000 (0.0031) time: 2.5994 data: 0.0026 max mem: 31671 Epoch: [23] [1970/5278] eta: 2:22:14 lr: 2.26901960506726e-05 loss: 0.0429 (0.0518) loss_seg: 0.0462 (0.0555) loss_lansim: 0.0855 (0.0851) loss_contra: 0.0000 (0.0031) time: 2.5828 data: 0.0026 max mem: 31671 Epoch: [23] [1980/5278] eta: 2:21:49 lr: 2.2687868970414632e-05 loss: 0.0420 (0.0518) loss_seg: 0.0462 (0.0555) loss_lansim: 0.0854 (0.0851) loss_contra: 0.0000 (0.0031) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [23] [1990/5278] eta: 2:21:24 lr: 2.2685541863635563e-05 loss: 0.0436 (0.0519) loss_seg: 0.0478 (0.0556) loss_lansim: 0.0853 (0.0851) loss_contra: 0.0000 (0.0031) time: 2.5957 data: 0.0026 max mem: 31671 Epoch: [23] [2000/5278] eta: 2:20:58 lr: 2.2683214730332077e-05 loss: 0.0431 (0.0519) loss_seg: 0.0474 (0.0556) loss_lansim: 0.0853 (0.0851) loss_contra: 0.0000 (0.0035) time: 2.5912 data: 0.0026 max mem: 31671 Epoch: [23] [2010/5278] eta: 2:20:33 lr: 2.2680887570500847e-05 loss: 0.0431 (0.0519) loss_seg: 0.0474 (0.0557) loss_lansim: 0.0854 (0.0851) loss_contra: 0.0000 (0.0034) time: 2.5979 data: 0.0026 max mem: 31671 Epoch: [23] [2020/5278] eta: 2:20:06 lr: 2.267856038413854e-05 loss: 0.0445 (0.0519) loss_seg: 0.0490 (0.0556) loss_lansim: 0.0855 (0.0851) loss_contra: 0.0000 (0.0034) time: 2.5979 data: 0.0026 max mem: 31671 Epoch: [23] [2030/5278] eta: 2:19:40 lr: 2.267623317124183e-05 loss: 0.0473 (0.0519) loss_seg: 0.0499 (0.0557) loss_lansim: 0.0854 (0.0851) loss_contra: 0.0001 (0.0034) time: 2.5869 data: 0.0026 max mem: 31671 Epoch: [23] [2040/5278] eta: 2:19:13 lr: 2.2673905931807393e-05 loss: 0.0482 (0.0520) loss_seg: 0.0526 (0.0557) loss_lansim: 0.0849 (0.0851) loss_contra: 0.0001 (0.0034) time: 2.5738 data: 0.0026 max mem: 31671 Epoch: [23] [2050/5278] eta: 2:18:49 lr: 2.2671578665831896e-05 loss: 0.0482 (0.0519) loss_seg: 0.0529 (0.0557) loss_lansim: 0.0852 (0.0851) loss_contra: 0.0001 (0.0035) time: 2.5756 data: 0.0026 max mem: 31671 Epoch: [23] [2060/5278] eta: 2:18:24 lr: 2.2669251373312017e-05 loss: 0.0473 (0.0519) loss_seg: 0.0495 (0.0557) loss_lansim: 0.0839 (0.0851) loss_contra: 0.0001 (0.0035) time: 2.5816 data: 0.0026 max mem: 31671 Epoch: [23] [2070/5278] eta: 2:17:58 lr: 2.2666924054244414e-05 loss: 0.0473 (0.0519) loss_seg: 0.0495 (0.0557) loss_lansim: 0.0841 (0.0851) loss_contra: 0.0001 (0.0035) time: 2.5903 data: 0.0026 max mem: 31671 Epoch: [23] [2080/5278] eta: 2:17:31 lr: 2.266459670862576e-05 loss: 0.0473 (0.0519) loss_seg: 0.0495 (0.0556) loss_lansim: 0.0841 (0.0851) loss_contra: 0.0001 (0.0039) time: 2.5791 data: 0.0026 max mem: 31671 Epoch: [23] [2090/5278] eta: 2:17:06 lr: 2.2662269336452722e-05 loss: 0.0481 (0.0519) loss_seg: 0.0507 (0.0557) loss_lansim: 0.0841 (0.0851) loss_contra: 0.0002 (0.0039) time: 2.5803 data: 0.0026 max mem: 31671 Epoch: [23] [2100/5278] eta: 2:16:40 lr: 2.2659941937721975e-05 loss: 0.0482 (0.0519) loss_seg: 0.0522 (0.0557) loss_lansim: 0.0843 (0.0851) loss_contra: 0.0002 (0.0040) time: 2.5813 data: 0.0026 max mem: 31671 Epoch: [23] [2110/5278] eta: 2:16:16 lr: 2.265761451243017e-05 loss: 0.0473 (0.0519) loss_seg: 0.0507 (0.0556) loss_lansim: 0.0841 (0.0851) loss_contra: 0.0002 (0.0040) time: 2.5901 data: 0.0026 max mem: 31671 Epoch: [23] [2120/5278] eta: 2:15:51 lr: 2.265528706057398e-05 loss: 0.0462 (0.0519) loss_seg: 0.0493 (0.0557) loss_lansim: 0.0839 (0.0851) loss_contra: 0.0001 (0.0039) time: 2.5992 data: 0.0026 max mem: 31671 Epoch: [23] [2130/5278] eta: 2:15:25 lr: 2.265295958215007e-05 loss: 0.0460 (0.0520) loss_seg: 0.0493 (0.0558) loss_lansim: 0.0841 (0.0852) loss_contra: 0.0001 (0.0040) time: 2.5982 data: 0.0026 max mem: 31671 Epoch: [23] [2140/5278] eta: 2:14:59 lr: 2.265063207715511e-05 loss: 0.0450 (0.0520) loss_seg: 0.0483 (0.0558) loss_lansim: 0.0847 (0.0852) loss_contra: 0.0001 (0.0039) time: 2.6094 data: 0.0026 max mem: 31671 Epoch: [23] [2150/5278] eta: 2:14:34 lr: 2.2648304545585748e-05 loss: 0.0450 (0.0521) loss_seg: 0.0485 (0.0559) loss_lansim: 0.0858 (0.0852) loss_contra: 0.0001 (0.0040) time: 2.6038 data: 0.0026 max mem: 31671 Epoch: [23] [2160/5278] eta: 2:14:09 lr: 2.2645976987438657e-05 loss: 0.0462 (0.0521) loss_seg: 0.0493 (0.0559) loss_lansim: 0.0858 (0.0852) loss_contra: 0.0001 (0.0040) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [23] [2170/5278] eta: 2:13:43 lr: 2.2643649402710497e-05 loss: 0.0458 (0.0521) loss_seg: 0.0493 (0.0559) loss_lansim: 0.0837 (0.0851) loss_contra: 0.0001 (0.0040) time: 2.5996 data: 0.0026 max mem: 31671 Epoch: [23] [2180/5278] eta: 2:13:17 lr: 2.264132179139793e-05 loss: 0.0442 (0.0521) loss_seg: 0.0485 (0.0558) loss_lansim: 0.0837 (0.0851) loss_contra: 0.0001 (0.0040) time: 2.6071 data: 0.0026 max mem: 31671 Epoch: [23] [2190/5278] eta: 2:12:51 lr: 2.2638994153497608e-05 loss: 0.0442 (0.0521) loss_seg: 0.0484 (0.0559) loss_lansim: 0.0837 (0.0852) loss_contra: 0.0001 (0.0043) time: 2.6028 data: 0.0026 max mem: 31671 Epoch: [23] [2200/5278] eta: 2:12:27 lr: 2.2636666489006195e-05 loss: 0.0442 (0.0521) loss_seg: 0.0484 (0.0558) loss_lansim: 0.0836 (0.0851) loss_contra: 0.0001 (0.0043) time: 2.6112 data: 0.0026 max mem: 31671 Epoch: [23] [2210/5278] eta: 2:12:01 lr: 2.2634338797920346e-05 loss: 0.0444 (0.0521) loss_seg: 0.0485 (0.0558) loss_lansim: 0.0834 (0.0851) loss_contra: 0.0001 (0.0043) time: 2.6032 data: 0.0026 max mem: 31671 Epoch: [23] [2220/5278] eta: 2:11:36 lr: 2.2632011080236727e-05 loss: 0.0444 (0.0521) loss_seg: 0.0485 (0.0559) loss_lansim: 0.0834 (0.0851) loss_contra: 0.0001 (0.0045) time: 2.6029 data: 0.0026 max mem: 31671 Epoch: [23] [2230/5278] eta: 2:11:10 lr: 2.2629683335951984e-05 loss: 0.0439 (0.0521) loss_seg: 0.0469 (0.0559) loss_lansim: 0.0837 (0.0852) loss_contra: 0.0001 (0.0045) time: 2.6054 data: 0.0026 max mem: 31671 Epoch: [23] [2240/5278] eta: 2:10:44 lr: 2.2627355565062774e-05 loss: 0.0442 (0.0522) loss_seg: 0.0484 (0.0559) loss_lansim: 0.0837 (0.0852) loss_contra: 0.0002 (0.0045) time: 2.6049 data: 0.0026 max mem: 31671 Epoch: [23] [2250/5278] eta: 2:10:20 lr: 2.2625027767565758e-05 loss: 0.0439 (0.0522) loss_seg: 0.0469 (0.0559) loss_lansim: 0.0843 (0.0852) loss_contra: 0.0002 (0.0045) time: 2.6107 data: 0.0026 max mem: 31671 Epoch: [23] [2260/5278] eta: 2:09:53 lr: 2.262269994345759e-05 loss: 0.0439 (0.0522) loss_seg: 0.0473 (0.0559) loss_lansim: 0.0846 (0.0852) loss_contra: 0.0002 (0.0045) time: 2.6005 data: 0.0025 max mem: 31671 Epoch: [23] [2270/5278] eta: 2:09:27 lr: 2.2620372092734917e-05 loss: 0.0434 (0.0522) loss_seg: 0.0470 (0.0559) loss_lansim: 0.0853 (0.0853) loss_contra: 0.0002 (0.0044) time: 2.5984 data: 0.0026 max mem: 31671 Epoch: [23] [2280/5278] eta: 2:09:02 lr: 2.2618044215394393e-05 loss: 0.0439 (0.0521) loss_seg: 0.0473 (0.0559) loss_lansim: 0.0854 (0.0853) loss_contra: 0.0002 (0.0044) time: 2.6026 data: 0.0026 max mem: 31671 Epoch: [23] [2290/5278] eta: 2:08:36 lr: 2.2615716311432668e-05 loss: 0.0428 (0.0521) loss_seg: 0.0468 (0.0558) loss_lansim: 0.0854 (0.0852) loss_contra: 0.0001 (0.0044) time: 2.6004 data: 0.0025 max mem: 31671 Epoch: [23] [2300/5278] eta: 2:08:10 lr: 2.26133883808464e-05 loss: 0.0428 (0.0521) loss_seg: 0.0469 (0.0559) loss_lansim: 0.0849 (0.0852) loss_contra: 0.0001 (0.0044) time: 2.5948 data: 0.0025 max mem: 31671 Epoch: [23] [2310/5278] eta: 2:07:43 lr: 2.2611060423632238e-05 loss: 0.0432 (0.0521) loss_seg: 0.0470 (0.0559) loss_lansim: 0.0846 (0.0852) loss_contra: 0.0002 (0.0044) time: 2.5847 data: 0.0025 max mem: 31671 Epoch: [23] [2320/5278] eta: 2:07:17 lr: 2.2608732439786825e-05 loss: 0.0428 (0.0521) loss_seg: 0.0469 (0.0558) loss_lansim: 0.0838 (0.0852) loss_contra: 0.0001 (0.0044) time: 2.5789 data: 0.0025 max mem: 31671 Epoch: [23] [2330/5278] eta: 2:06:52 lr: 2.260640442930681e-05 loss: 0.0446 (0.0521) loss_seg: 0.0473 (0.0558) loss_lansim: 0.0830 (0.0852) loss_contra: 0.0001 (0.0044) time: 2.5845 data: 0.0026 max mem: 31671 Epoch: [23] [2340/5278] eta: 2:06:26 lr: 2.2604076392188845e-05 loss: 0.0454 (0.0521) loss_seg: 0.0489 (0.0559) loss_lansim: 0.0836 (0.0852) loss_contra: 0.0001 (0.0044) time: 2.5814 data: 0.0026 max mem: 31671 Epoch: [23] [2350/5278] eta: 2:06:00 lr: 2.260174832842958e-05 loss: 0.0432 (0.0522) loss_seg: 0.0473 (0.0559) loss_lansim: 0.0830 (0.0852) loss_contra: 0.0002 (0.0044) time: 2.5731 data: 0.0026 max mem: 31671 Epoch: [23] [2360/5278] eta: 2:05:35 lr: 2.259942023802565e-05 loss: 0.0414 (0.0521) loss_seg: 0.0456 (0.0559) loss_lansim: 0.0832 (0.0852) loss_contra: 0.0002 (0.0044) time: 2.5825 data: 0.0026 max mem: 31671 Epoch: [23] [2370/5278] eta: 2:05:09 lr: 2.2597092120973705e-05 loss: 0.0421 (0.0521) loss_seg: 0.0463 (0.0559) loss_lansim: 0.0833 (0.0852) loss_contra: 0.0002 (0.0043) time: 2.5825 data: 0.0026 max mem: 31671 Epoch: [23] [2380/5278] eta: 2:04:43 lr: 2.2594763977270393e-05 loss: 0.0421 (0.0521) loss_seg: 0.0462 (0.0559) loss_lansim: 0.0833 (0.0852) loss_contra: 0.0002 (0.0043) time: 2.5801 data: 0.0026 max mem: 31671 Epoch: [23] [2390/5278] eta: 2:04:18 lr: 2.259243580691236e-05 loss: 0.0421 (0.0521) loss_seg: 0.0463 (0.0558) loss_lansim: 0.0836 (0.0852) loss_contra: 0.0002 (0.0043) time: 2.5902 data: 0.0026 max mem: 31671 Epoch: [23] [2400/5278] eta: 2:03:53 lr: 2.259010760989624e-05 loss: 0.0423 (0.0521) loss_seg: 0.0464 (0.0559) loss_lansim: 0.0837 (0.0852) loss_contra: 0.0002 (0.0043) time: 2.5891 data: 0.0026 max mem: 31671 Epoch: [23] [2410/5278] eta: 2:03:28 lr: 2.2587779386218675e-05 loss: 0.0421 (0.0521) loss_seg: 0.0462 (0.0558) loss_lansim: 0.0838 (0.0852) loss_contra: 0.0002 (0.0043) time: 2.6077 data: 0.0026 max mem: 31671 Epoch: [23] [2420/5278] eta: 2:03:02 lr: 2.258545113587631e-05 loss: 0.0423 (0.0521) loss_seg: 0.0464 (0.0558) loss_lansim: 0.0852 (0.0852) loss_contra: 0.0002 (0.0043) time: 2.6050 data: 0.0025 max mem: 31671 Epoch: [23] [2430/5278] eta: 2:02:36 lr: 2.2583122858865792e-05 loss: 0.0423 (0.0521) loss_seg: 0.0463 (0.0558) loss_lansim: 0.0848 (0.0852) loss_contra: 0.0002 (0.0043) time: 2.5977 data: 0.0025 max mem: 31671 Epoch: [23] [2440/5278] eta: 2:02:10 lr: 2.258079455518375e-05 loss: 0.0421 (0.0521) loss_seg: 0.0462 (0.0559) loss_lansim: 0.0843 (0.0852) loss_contra: 0.0001 (0.0043) time: 2.6012 data: 0.0025 max mem: 31671 Epoch: [23] [2450/5278] eta: 2:01:45 lr: 2.2578466224826825e-05 loss: 0.0440 (0.0522) loss_seg: 0.0484 (0.0559) loss_lansim: 0.0844 (0.0852) loss_contra: 0.0001 (0.0043) time: 2.6032 data: 0.0025 max mem: 31671 Epoch: [23] [2460/5278] eta: 2:01:18 lr: 2.2576137867791655e-05 loss: 0.0434 (0.0521) loss_seg: 0.0473 (0.0559) loss_lansim: 0.0843 (0.0851) loss_contra: 0.0001 (0.0043) time: 2.5960 data: 0.0026 max mem: 31671 Epoch: [23] [2470/5278] eta: 2:00:52 lr: 2.2573809484074886e-05 loss: 0.0411 (0.0521) loss_seg: 0.0442 (0.0559) loss_lansim: 0.0843 (0.0851) loss_contra: 0.0001 (0.0043) time: 2.5984 data: 0.0026 max mem: 31671 Epoch: [23] [2480/5278] eta: 2:00:26 lr: 2.2571481073673144e-05 loss: 0.0411 (0.0521) loss_seg: 0.0451 (0.0559) loss_lansim: 0.0843 (0.0851) loss_contra: 0.0000 (0.0043) time: 2.5880 data: 0.0026 max mem: 31671 Epoch: [23] [2490/5278] eta: 2:00:00 lr: 2.2569152636583064e-05 loss: 0.0423 (0.0521) loss_seg: 0.0452 (0.0559) loss_lansim: 0.0843 (0.0852) loss_contra: 0.0000 (0.0043) time: 2.5843 data: 0.0026 max mem: 31671 Epoch: [23] [2500/5278] eta: 1:59:34 lr: 2.2566824172801282e-05 loss: 0.0403 (0.0521) loss_seg: 0.0440 (0.0558) loss_lansim: 0.0842 (0.0852) loss_contra: 0.0000 (0.0043) time: 2.5830 data: 0.0026 max mem: 31671 Epoch: [23] [2510/5278] eta: 1:59:08 lr: 2.2564495682324443e-05 loss: 0.0401 (0.0521) loss_seg: 0.0435 (0.0558) loss_lansim: 0.0836 (0.0852) loss_contra: 0.0000 (0.0042) time: 2.5645 data: 0.0026 max mem: 31671 Epoch: [23] [2520/5278] eta: 1:58:42 lr: 2.2562167165149163e-05 loss: 0.0399 (0.0522) loss_seg: 0.0433 (0.0559) loss_lansim: 0.0839 (0.0852) loss_contra: 0.0000 (0.0042) time: 2.5703 data: 0.0026 max mem: 31671 Epoch: [23] [2530/5278] eta: 1:58:16 lr: 2.2559838621272088e-05 loss: 0.0401 (0.0522) loss_seg: 0.0439 (0.0559) loss_lansim: 0.0841 (0.0852) loss_contra: 0.0000 (0.0042) time: 2.5700 data: 0.0026 max mem: 31671 Epoch: [23] [2540/5278] eta: 1:57:50 lr: 2.2557510050689836e-05 loss: 0.0403 (0.0522) loss_seg: 0.0441 (0.0559) loss_lansim: 0.0841 (0.0852) loss_contra: 0.0000 (0.0042) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [23] [2550/5278] eta: 1:57:24 lr: 2.2555181453399052e-05 loss: 0.0411 (0.0523) loss_seg: 0.0441 (0.0560) loss_lansim: 0.0841 (0.0852) loss_contra: 0.0000 (0.0043) time: 2.5655 data: 0.0025 max mem: 31671 Epoch: [23] [2560/5278] eta: 1:56:59 lr: 2.255285282939636e-05 loss: 0.0424 (0.0523) loss_seg: 0.0453 (0.0561) loss_lansim: 0.0833 (0.0851) loss_contra: 0.0000 (0.0043) time: 2.5699 data: 0.0025 max mem: 31671 Epoch: [23] [2570/5278] eta: 1:56:33 lr: 2.2550524178678384e-05 loss: 0.0444 (0.0523) loss_seg: 0.0464 (0.0560) loss_lansim: 0.0832 (0.0851) loss_contra: 0.0000 (0.0043) time: 2.5782 data: 0.0025 max mem: 31671 Epoch: [23] [2580/5278] eta: 1:56:09 lr: 2.2548195501241757e-05 loss: 0.0444 (0.0523) loss_seg: 0.0465 (0.0560) loss_lansim: 0.0830 (0.0851) loss_contra: 0.0000 (0.0043) time: 2.5960 data: 0.0025 max mem: 31671 Epoch: [23] [2590/5278] eta: 1:55:43 lr: 2.2545866797083107e-05 loss: 0.0440 (0.0523) loss_seg: 0.0464 (0.0560) loss_lansim: 0.0818 (0.0851) loss_contra: 0.0000 (0.0043) time: 2.5918 data: 0.0025 max mem: 31671 Epoch: [23] [2600/5278] eta: 1:55:16 lr: 2.2543538066199063e-05 loss: 0.0440 (0.0523) loss_seg: 0.0464 (0.0560) loss_lansim: 0.0818 (0.0851) loss_contra: 0.0000 (0.0043) time: 2.5796 data: 0.0024 max mem: 31671 Epoch: [23] [2610/5278] eta: 1:54:51 lr: 2.254120930858624e-05 loss: 0.0452 (0.0522) loss_seg: 0.0468 (0.0560) loss_lansim: 0.0820 (0.0851) loss_contra: 0.0000 (0.0043) time: 2.5922 data: 0.0025 max mem: 31671 Epoch: [23] [2620/5278] eta: 1:54:25 lr: 2.2538880524241275e-05 loss: 0.0458 (0.0523) loss_seg: 0.0468 (0.0560) loss_lansim: 0.0813 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.5918 data: 0.0025 max mem: 31671 Epoch: [23] [2630/5278] eta: 1:53:58 lr: 2.2536551713160782e-05 loss: 0.0427 (0.0523) loss_seg: 0.0465 (0.0560) loss_lansim: 0.0809 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.5860 data: 0.0025 max mem: 31671 Epoch: [23] [2640/5278] eta: 1:53:32 lr: 2.25342228753414e-05 loss: 0.0423 (0.0522) loss_seg: 0.0458 (0.0560) loss_lansim: 0.0792 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.5836 data: 0.0025 max mem: 31671 Epoch: [23] [2650/5278] eta: 1:53:07 lr: 2.253189401077973e-05 loss: 0.0423 (0.0522) loss_seg: 0.0458 (0.0559) loss_lansim: 0.0792 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.5878 data: 0.0025 max mem: 31671 Epoch: [23] [2660/5278] eta: 1:52:41 lr: 2.2529565119472408e-05 loss: 0.0437 (0.0523) loss_seg: 0.0467 (0.0560) loss_lansim: 0.0813 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.5882 data: 0.0025 max mem: 31671 Epoch: [23] [2670/5278] eta: 1:52:16 lr: 2.2527236201416048e-05 loss: 0.0442 (0.0523) loss_seg: 0.0482 (0.0560) loss_lansim: 0.0818 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.5886 data: 0.0025 max mem: 31671 Epoch: [23] [2680/5278] eta: 1:51:51 lr: 2.2524907256607284e-05 loss: 0.0442 (0.0523) loss_seg: 0.0482 (0.0560) loss_lansim: 0.0820 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.5912 data: 0.0025 max mem: 31671 Epoch: [23] [2690/5278] eta: 1:51:25 lr: 2.2522578285042718e-05 loss: 0.0442 (0.0523) loss_seg: 0.0482 (0.0560) loss_lansim: 0.0827 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.5864 data: 0.0025 max mem: 31671 Epoch: [23] [2700/5278] eta: 1:50:59 lr: 2.252024928671897e-05 loss: 0.0437 (0.0522) loss_seg: 0.0470 (0.0560) loss_lansim: 0.0827 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.6036 data: 0.0025 max mem: 31671 Epoch: [23] [2710/5278] eta: 1:50:33 lr: 2.251792026163267e-05 loss: 0.0442 (0.0522) loss_seg: 0.0478 (0.0560) loss_lansim: 0.0815 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.5950 data: 0.0025 max mem: 31671 Epoch: [23] [2720/5278] eta: 1:50:08 lr: 2.251559120978043e-05 loss: 0.0466 (0.0522) loss_seg: 0.0482 (0.0559) loss_lansim: 0.0834 (0.0850) loss_contra: 0.0001 (0.0043) time: 2.5953 data: 0.0025 max mem: 31671 Epoch: [23] [2730/5278] eta: 1:49:42 lr: 2.2513262131158857e-05 loss: 0.0471 (0.0522) loss_seg: 0.0486 (0.0559) loss_lansim: 0.0846 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.6064 data: 0.0025 max mem: 31671 Epoch: [23] [2740/5278] eta: 1:49:16 lr: 2.2510933025764576e-05 loss: 0.0471 (0.0522) loss_seg: 0.0514 (0.0559) loss_lansim: 0.0847 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.6121 data: 0.0025 max mem: 31671 Epoch: [23] [2750/5278] eta: 1:48:50 lr: 2.2508603893594197e-05 loss: 0.0436 (0.0521) loss_seg: 0.0470 (0.0559) loss_lansim: 0.0847 (0.0850) loss_contra: 0.0000 (0.0042) time: 2.6041 data: 0.0025 max mem: 31671 Epoch: [23] [2760/5278] eta: 1:48:25 lr: 2.250627473464434e-05 loss: 0.0430 (0.0521) loss_seg: 0.0468 (0.0559) loss_lansim: 0.0834 (0.0850) loss_contra: 0.0000 (0.0043) time: 2.6081 data: 0.0025 max mem: 31671 Epoch: [23] [2770/5278] eta: 1:47:59 lr: 2.2503945548911603e-05 loss: 0.0418 (0.0521) loss_seg: 0.0450 (0.0558) loss_lansim: 0.0831 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.6041 data: 0.0025 max mem: 31671 Epoch: [23] [2780/5278] eta: 1:47:34 lr: 2.250161633639261e-05 loss: 0.0426 (0.0521) loss_seg: 0.0458 (0.0558) loss_lansim: 0.0827 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.5912 data: 0.0025 max mem: 31671 Epoch: [23] [2790/5278] eta: 1:47:08 lr: 2.249928709708397e-05 loss: 0.0418 (0.0520) loss_seg: 0.0450 (0.0558) loss_lansim: 0.0831 (0.0850) loss_contra: 0.0000 (0.0042) time: 2.6043 data: 0.0025 max mem: 31671 Epoch: [23] [2800/5278] eta: 1:46:43 lr: 2.2496957830982294e-05 loss: 0.0418 (0.0520) loss_seg: 0.0450 (0.0557) loss_lansim: 0.0835 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.5989 data: 0.0025 max mem: 31671 Epoch: [23] [2810/5278] eta: 1:46:16 lr: 2.2494628538084195e-05 loss: 0.0430 (0.0521) loss_seg: 0.0459 (0.0558) loss_lansim: 0.0856 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.5992 data: 0.0025 max mem: 31671 Epoch: [23] [2820/5278] eta: 1:45:51 lr: 2.2492299218386272e-05 loss: 0.0418 (0.0521) loss_seg: 0.0458 (0.0558) loss_lansim: 0.0856 (0.0850) loss_contra: 0.0000 (0.0042) time: 2.5994 data: 0.0025 max mem: 31671 Epoch: [23] [2830/5278] eta: 1:45:25 lr: 2.2489969871885133e-05 loss: 0.0418 (0.0521) loss_seg: 0.0458 (0.0558) loss_lansim: 0.0844 (0.0850) loss_contra: 0.0000 (0.0042) time: 2.5944 data: 0.0025 max mem: 31671 Epoch: [23] [2840/5278] eta: 1:44:59 lr: 2.2487640498577393e-05 loss: 0.0435 (0.0521) loss_seg: 0.0460 (0.0558) loss_lansim: 0.0821 (0.0850) loss_contra: 0.0000 (0.0042) time: 2.5908 data: 0.0025 max mem: 31671 Epoch: [23] [2850/5278] eta: 1:44:33 lr: 2.248531109845966e-05 loss: 0.0441 (0.0520) loss_seg: 0.0484 (0.0557) loss_lansim: 0.0816 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.6004 data: 0.0025 max mem: 31671 Epoch: [23] [2860/5278] eta: 1:44:08 lr: 2.2482981671528523e-05 loss: 0.0437 (0.0520) loss_seg: 0.0479 (0.0558) loss_lansim: 0.0821 (0.0849) loss_contra: 0.0001 (0.0042) time: 2.5978 data: 0.0025 max mem: 31671 Epoch: [23] [2870/5278] eta: 1:43:42 lr: 2.2480652217780602e-05 loss: 0.0438 (0.0520) loss_seg: 0.0479 (0.0557) loss_lansim: 0.0821 (0.0849) loss_contra: 0.0001 (0.0042) time: 2.5961 data: 0.0025 max mem: 31671 Epoch: [23] [2880/5278] eta: 1:43:16 lr: 2.2478322737212495e-05 loss: 0.0452 (0.0521) loss_seg: 0.0485 (0.0558) loss_lansim: 0.0816 (0.0849) loss_contra: 0.0000 (0.0042) time: 2.5911 data: 0.0025 max mem: 31671 Epoch: [23] [2890/5278] eta: 1:42:50 lr: 2.2475993229820812e-05 loss: 0.0454 (0.0520) loss_seg: 0.0487 (0.0558) loss_lansim: 0.0803 (0.0849) loss_contra: 0.0001 (0.0041) time: 2.5843 data: 0.0025 max mem: 31671 Epoch: [23] [2900/5278] eta: 1:42:24 lr: 2.2473663695602142e-05 loss: 0.0456 (0.0520) loss_seg: 0.0497 (0.0558) loss_lansim: 0.0799 (0.0849) loss_contra: 0.0000 (0.0041) time: 2.5882 data: 0.0025 max mem: 31671 Epoch: [23] [2910/5278] eta: 1:41:59 lr: 2.2471334134553097e-05 loss: 0.0454 (0.0520) loss_seg: 0.0489 (0.0558) loss_lansim: 0.0797 (0.0849) loss_contra: 0.0000 (0.0041) time: 2.5934 data: 0.0025 max mem: 31671 Epoch: [23] [2920/5278] eta: 1:41:33 lr: 2.2469004546670272e-05 loss: 0.0456 (0.0520) loss_seg: 0.0497 (0.0558) loss_lansim: 0.0793 (0.0849) loss_contra: 0.0000 (0.0041) time: 2.5965 data: 0.0025 max mem: 31671 Epoch: [23] [2930/5278] eta: 1:41:07 lr: 2.2466674931950272e-05 loss: 0.0460 (0.0520) loss_seg: 0.0497 (0.0558) loss_lansim: 0.0793 (0.0849) loss_contra: 0.0000 (0.0041) time: 2.5953 data: 0.0025 max mem: 31671 Epoch: [23] [2940/5278] eta: 1:40:41 lr: 2.246434529038969e-05 loss: 0.0463 (0.0521) loss_seg: 0.0501 (0.0558) loss_lansim: 0.0792 (0.0849) loss_contra: 0.0000 (0.0041) time: 2.5978 data: 0.0025 max mem: 31671 Epoch: [23] [2950/5278] eta: 1:40:16 lr: 2.246201562198512e-05 loss: 0.0475 (0.0520) loss_seg: 0.0512 (0.0558) loss_lansim: 0.0793 (0.0848) loss_contra: 0.0000 (0.0041) time: 2.5964 data: 0.0025 max mem: 31671 Epoch: [23] [2960/5278] eta: 1:39:51 lr: 2.2459685926733167e-05 loss: 0.0475 (0.0520) loss_seg: 0.0512 (0.0558) loss_lansim: 0.0797 (0.0848) loss_contra: 0.0000 (0.0041) time: 2.5998 data: 0.0025 max mem: 31671 Epoch: [23] [2970/5278] eta: 1:39:25 lr: 2.2457356204630433e-05 loss: 0.0475 (0.0521) loss_seg: 0.0512 (0.0558) loss_lansim: 0.0794 (0.0848) loss_contra: 0.0000 (0.0041) time: 2.6044 data: 0.0025 max mem: 31671 Epoch: [23] [2980/5278] eta: 1:39:00 lr: 2.24550264556735e-05 loss: 0.0463 (0.0521) loss_seg: 0.0507 (0.0558) loss_lansim: 0.0802 (0.0848) loss_contra: 0.0000 (0.0041) time: 2.6151 data: 0.0025 max mem: 31671 Epoch: [23] [2990/5278] eta: 1:38:34 lr: 2.2452696679858966e-05 loss: 0.0463 (0.0521) loss_seg: 0.0501 (0.0558) loss_lansim: 0.0813 (0.0848) loss_contra: 0.0000 (0.0041) time: 2.6152 data: 0.0025 max mem: 31671 Epoch: [23] [3000/5278] eta: 1:38:08 lr: 2.245036687718343e-05 loss: 0.0463 (0.0521) loss_seg: 0.0501 (0.0559) loss_lansim: 0.0823 (0.0848) loss_contra: 0.0000 (0.0041) time: 2.6157 data: 0.0025 max mem: 31671 Epoch: [23] [3010/5278] eta: 1:37:43 lr: 2.2448037047643486e-05 loss: 0.0485 (0.0522) loss_seg: 0.0516 (0.0559) loss_lansim: 0.0834 (0.0848) loss_contra: 0.0000 (0.0041) time: 2.6116 data: 0.0025 max mem: 31671 Epoch: [23] [3020/5278] eta: 1:37:17 lr: 2.244570719123572e-05 loss: 0.0493 (0.0522) loss_seg: 0.0536 (0.0559) loss_lansim: 0.0837 (0.0849) loss_contra: 0.0000 (0.0041) time: 2.6107 data: 0.0025 max mem: 31671 Epoch: [23] [3030/5278] eta: 1:36:51 lr: 2.244337730795672e-05 loss: 0.0498 (0.0522) loss_seg: 0.0536 (0.0560) loss_lansim: 0.0844 (0.0849) loss_contra: 0.0000 (0.0041) time: 2.6150 data: 0.0025 max mem: 31671 Epoch: [23] [3040/5278] eta: 1:36:25 lr: 2.2441047397803087e-05 loss: 0.0485 (0.0522) loss_seg: 0.0520 (0.0560) loss_lansim: 0.0855 (0.0849) loss_contra: 0.0000 (0.0040) time: 2.6062 data: 0.0025 max mem: 31671 Epoch: [23] [3050/5278] eta: 1:35:59 lr: 2.2438717460771404e-05 loss: 0.0503 (0.0523) loss_seg: 0.0535 (0.0560) loss_lansim: 0.0862 (0.0849) loss_contra: 0.0000 (0.0040) time: 2.6085 data: 0.0025 max mem: 31671 Epoch: [23] [3060/5278] eta: 1:35:34 lr: 2.243638749685827e-05 loss: 0.0503 (0.0523) loss_seg: 0.0535 (0.0560) loss_lansim: 0.0862 (0.0849) loss_contra: 0.0000 (0.0040) time: 2.6053 data: 0.0025 max mem: 31671 Epoch: [23] [3070/5278] eta: 1:35:08 lr: 2.2434057506060256e-05 loss: 0.0498 (0.0522) loss_seg: 0.0535 (0.0560) loss_lansim: 0.0873 (0.0849) loss_contra: 0.0000 (0.0040) time: 2.5981 data: 0.0026 max mem: 31671 Epoch: [23] [3080/5278] eta: 1:34:42 lr: 2.2431727488373957e-05 loss: 0.0498 (0.0522) loss_seg: 0.0535 (0.0560) loss_lansim: 0.0872 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5880 data: 0.0026 max mem: 31671 Epoch: [23] [3090/5278] eta: 1:34:15 lr: 2.2429397443795965e-05 loss: 0.0503 (0.0522) loss_seg: 0.0535 (0.0560) loss_lansim: 0.0872 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5829 data: 0.0026 max mem: 31671 Epoch: [23] [3100/5278] eta: 1:33:50 lr: 2.242706737232286e-05 loss: 0.0503 (0.0523) loss_seg: 0.0538 (0.0561) loss_lansim: 0.0872 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5813 data: 0.0026 max mem: 31671 Epoch: [23] [3110/5278] eta: 1:33:24 lr: 2.2424737273951228e-05 loss: 0.0481 (0.0523) loss_seg: 0.0525 (0.0561) loss_lansim: 0.0872 (0.0850) loss_contra: 0.0001 (0.0040) time: 2.5908 data: 0.0026 max mem: 31671 Epoch: [23] [3120/5278] eta: 1:32:59 lr: 2.242240714867765e-05 loss: 0.0477 (0.0523) loss_seg: 0.0519 (0.0561) loss_lansim: 0.0870 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [23] [3130/5278] eta: 1:32:33 lr: 2.242007699649871e-05 loss: 0.0468 (0.0524) loss_seg: 0.0506 (0.0562) loss_lansim: 0.0867 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5904 data: 0.0026 max mem: 31671 Epoch: [23] [3140/5278] eta: 1:32:07 lr: 2.2417746817411002e-05 loss: 0.0468 (0.0524) loss_seg: 0.0506 (0.0561) loss_lansim: 0.0862 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.6003 data: 0.0026 max mem: 31671 Epoch: [23] [3150/5278] eta: 1:31:41 lr: 2.2415416611411088e-05 loss: 0.0468 (0.0524) loss_seg: 0.0501 (0.0562) loss_lansim: 0.0861 (0.0850) loss_contra: 0.0000 (0.0039) time: 2.5861 data: 0.0026 max mem: 31671 Epoch: [23] [3160/5278] eta: 1:31:15 lr: 2.241308637849556e-05 loss: 0.0452 (0.0524) loss_seg: 0.0484 (0.0561) loss_lansim: 0.0864 (0.0850) loss_contra: 0.0000 (0.0039) time: 2.5784 data: 0.0026 max mem: 31671 Epoch: [23] [3170/5278] eta: 1:30:49 lr: 2.2410756118660993e-05 loss: 0.0468 (0.0524) loss_seg: 0.0487 (0.0562) loss_lansim: 0.0859 (0.0850) loss_contra: 0.0001 (0.0040) time: 2.5837 data: 0.0025 max mem: 31671 Epoch: [23] [3180/5278] eta: 1:30:23 lr: 2.240842583190398e-05 loss: 0.0459 (0.0524) loss_seg: 0.0496 (0.0562) loss_lansim: 0.0834 (0.0850) loss_contra: 0.0000 (0.0039) time: 2.5810 data: 0.0025 max mem: 31671 Epoch: [23] [3190/5278] eta: 1:29:57 lr: 2.2406095518221078e-05 loss: 0.0455 (0.0524) loss_seg: 0.0487 (0.0562) loss_lansim: 0.0840 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5820 data: 0.0025 max mem: 31671 Epoch: [23] [3200/5278] eta: 1:29:30 lr: 2.2403765177608875e-05 loss: 0.0455 (0.0524) loss_seg: 0.0487 (0.0562) loss_lansim: 0.0839 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5675 data: 0.0025 max mem: 31671 Epoch: [23] [3210/5278] eta: 1:29:03 lr: 2.2401434810063942e-05 loss: 0.0459 (0.0524) loss_seg: 0.0496 (0.0562) loss_lansim: 0.0839 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5467 data: 0.0025 max mem: 31671 Epoch: [23] [3220/5278] eta: 1:28:38 lr: 2.239910441558287e-05 loss: 0.0459 (0.0525) loss_seg: 0.0499 (0.0562) loss_lansim: 0.0839 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5437 data: 0.0025 max mem: 31671 Epoch: [23] [3230/5278] eta: 1:28:11 lr: 2.2396773994162216e-05 loss: 0.0455 (0.0524) loss_seg: 0.0496 (0.0562) loss_lansim: 0.0834 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5338 data: 0.0026 max mem: 31671 Epoch: [23] [3240/5278] eta: 1:27:45 lr: 2.239444354579856e-05 loss: 0.0455 (0.0524) loss_seg: 0.0496 (0.0562) loss_lansim: 0.0842 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5292 data: 0.0026 max mem: 31671 Epoch: [23] [3250/5278] eta: 1:27:19 lr: 2.2392113070488473e-05 loss: 0.0444 (0.0524) loss_seg: 0.0458 (0.0562) loss_lansim: 0.0850 (0.0850) loss_contra: 0.0000 (0.0040) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [23] [3260/5278] eta: 1:26:52 lr: 2.238978256822854e-05 loss: 0.0447 (0.0524) loss_seg: 0.0473 (0.0562) loss_lansim: 0.0842 (0.0850) loss_contra: 0.0001 (0.0039) time: 2.5218 data: 0.0026 max mem: 31671 Epoch: [23] [3270/5278] eta: 1:26:27 lr: 2.2387452039015317e-05 loss: 0.0444 (0.0524) loss_seg: 0.0487 (0.0562) loss_lansim: 0.0850 (0.0850) loss_contra: 0.0000 (0.0039) time: 2.5202 data: 0.0026 max mem: 31671 Epoch: [23] [3280/5278] eta: 1:26:00 lr: 2.238512148284538e-05 loss: 0.0444 (0.0524) loss_seg: 0.0476 (0.0562) loss_lansim: 0.0850 (0.0850) loss_contra: 0.0001 (0.0039) time: 2.5216 data: 0.0026 max mem: 31671 Epoch: [23] [3290/5278] eta: 1:25:34 lr: 2.2382790899715294e-05 loss: 0.0453 (0.0524) loss_seg: 0.0488 (0.0562) loss_lansim: 0.0852 (0.0850) loss_contra: 0.0001 (0.0039) time: 2.5175 data: 0.0026 max mem: 31671 Epoch: [23] [3300/5278] eta: 1:25:08 lr: 2.238046028962164e-05 loss: 0.0447 (0.0524) loss_seg: 0.0487 (0.0562) loss_lansim: 0.0865 (0.0851) loss_contra: 0.0001 (0.0039) time: 2.5317 data: 0.0026 max mem: 31671 Epoch: [23] [3310/5278] eta: 1:24:42 lr: 2.2378129652560977e-05 loss: 0.0445 (0.0524) loss_seg: 0.0487 (0.0561) loss_lansim: 0.0865 (0.0851) loss_contra: 0.0001 (0.0039) time: 2.5407 data: 0.0026 max mem: 31671 Epoch: [23] [3320/5278] eta: 1:24:17 lr: 2.2375798988529874e-05 loss: 0.0445 (0.0524) loss_seg: 0.0487 (0.0561) loss_lansim: 0.0873 (0.0851) loss_contra: 0.0001 (0.0039) time: 2.5440 data: 0.0026 max mem: 31671 Epoch: [23] [3330/5278] eta: 1:23:51 lr: 2.2373468297524898e-05 loss: 0.0445 (0.0525) loss_seg: 0.0487 (0.0563) loss_lansim: 0.0873 (0.0851) loss_contra: 0.0001 (0.0039) time: 2.5543 data: 0.0025 max mem: 31671 Epoch: [23] [3340/5278] eta: 1:23:26 lr: 2.237113757954261e-05 loss: 0.0446 (0.0525) loss_seg: 0.0488 (0.0563) loss_lansim: 0.0874 (0.0851) loss_contra: 0.0000 (0.0039) time: 2.5640 data: 0.0025 max mem: 31671 Epoch: [23] [3350/5278] eta: 1:23:00 lr: 2.236880683457959e-05 loss: 0.0453 (0.0525) loss_seg: 0.0493 (0.0563) loss_lansim: 0.0885 (0.0851) loss_contra: 0.0000 (0.0039) time: 2.5676 data: 0.0025 max mem: 31671 Epoch: [23] [3360/5278] eta: 1:22:34 lr: 2.236647606263238e-05 loss: 0.0452 (0.0525) loss_seg: 0.0488 (0.0563) loss_lansim: 0.0888 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5824 data: 0.0025 max mem: 31671 Epoch: [23] [3370/5278] eta: 1:22:08 lr: 2.236414526369756e-05 loss: 0.0461 (0.0526) loss_seg: 0.0495 (0.0564) loss_lansim: 0.0893 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5806 data: 0.0025 max mem: 31671 Epoch: [23] [3380/5278] eta: 1:21:42 lr: 2.236181443777168e-05 loss: 0.0469 (0.0526) loss_seg: 0.0496 (0.0564) loss_lansim: 0.0903 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5853 data: 0.0025 max mem: 31671 Epoch: [23] [3390/5278] eta: 1:21:16 lr: 2.235948358485132e-05 loss: 0.0459 (0.0525) loss_seg: 0.0493 (0.0563) loss_lansim: 0.0891 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5934 data: 0.0025 max mem: 31671 Epoch: [23] [3400/5278] eta: 1:20:51 lr: 2.2357152704933018e-05 loss: 0.0469 (0.0526) loss_seg: 0.0506 (0.0564) loss_lansim: 0.0884 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5917 data: 0.0025 max mem: 31671 Epoch: [23] [3410/5278] eta: 1:20:25 lr: 2.2354821798013344e-05 loss: 0.0472 (0.0526) loss_seg: 0.0509 (0.0564) loss_lansim: 0.0885 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5926 data: 0.0025 max mem: 31671 Epoch: [23] [3420/5278] eta: 1:19:59 lr: 2.235249086408886e-05 loss: 0.0463 (0.0525) loss_seg: 0.0504 (0.0563) loss_lansim: 0.0890 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5872 data: 0.0026 max mem: 31671 Epoch: [23] [3430/5278] eta: 1:19:33 lr: 2.2350159903156123e-05 loss: 0.0472 (0.0525) loss_seg: 0.0509 (0.0563) loss_lansim: 0.0885 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5889 data: 0.0026 max mem: 31671 Epoch: [23] [3440/5278] eta: 1:19:08 lr: 2.2347828915211686e-05 loss: 0.0480 (0.0526) loss_seg: 0.0510 (0.0564) loss_lansim: 0.0884 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5879 data: 0.0026 max mem: 31671 Epoch: [23] [3450/5278] eta: 1:18:42 lr: 2.234549790025211e-05 loss: 0.0472 (0.0526) loss_seg: 0.0507 (0.0564) loss_lansim: 0.0863 (0.0852) loss_contra: 0.0000 (0.0039) time: 2.5889 data: 0.0026 max mem: 31671 Epoch: [23] [3460/5278] eta: 1:18:16 lr: 2.2343166858273942e-05 loss: 0.0472 (0.0525) loss_seg: 0.0507 (0.0563) loss_lansim: 0.0857 (0.0852) loss_contra: 0.0001 (0.0039) time: 2.5814 data: 0.0026 max mem: 31671 Epoch: [23] [3470/5278] eta: 1:17:50 lr: 2.2340835789273754e-05 loss: 0.0451 (0.0525) loss_seg: 0.0478 (0.0563) loss_lansim: 0.0857 (0.0853) loss_contra: 0.0001 (0.0039) time: 2.5824 data: 0.0026 max mem: 31671 Epoch: [23] [3480/5278] eta: 1:17:24 lr: 2.233850469324808e-05 loss: 0.0434 (0.0525) loss_seg: 0.0476 (0.0563) loss_lansim: 0.0864 (0.0853) loss_contra: 0.0001 (0.0039) time: 2.5940 data: 0.0026 max mem: 31671 Epoch: [23] [3490/5278] eta: 1:16:59 lr: 2.2336173570193484e-05 loss: 0.0450 (0.0526) loss_seg: 0.0476 (0.0564) loss_lansim: 0.0872 (0.0853) loss_contra: 0.0001 (0.0039) time: 2.6002 data: 0.0026 max mem: 31671 Epoch: [23] [3500/5278] eta: 1:16:33 lr: 2.2333842420106517e-05 loss: 0.0434 (0.0525) loss_seg: 0.0468 (0.0563) loss_lansim: 0.0880 (0.0853) loss_contra: 0.0001 (0.0039) time: 2.6032 data: 0.0026 max mem: 31671 Epoch: [23] [3510/5278] eta: 1:16:07 lr: 2.233151124298373e-05 loss: 0.0426 (0.0525) loss_seg: 0.0464 (0.0563) loss_lansim: 0.0880 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.6031 data: 0.0027 max mem: 31671 Epoch: [23] [3520/5278] eta: 1:15:42 lr: 2.2329180038821673e-05 loss: 0.0425 (0.0525) loss_seg: 0.0464 (0.0563) loss_lansim: 0.0872 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.6073 data: 0.0027 max mem: 31671 Epoch: [23] [3530/5278] eta: 1:15:16 lr: 2.2326848807616895e-05 loss: 0.0416 (0.0525) loss_seg: 0.0457 (0.0563) loss_lansim: 0.0880 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.6006 data: 0.0026 max mem: 31671 Epoch: [23] [3540/5278] eta: 1:14:50 lr: 2.2324517549365945e-05 loss: 0.0407 (0.0525) loss_seg: 0.0446 (0.0563) loss_lansim: 0.0870 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5904 data: 0.0026 max mem: 31671 Epoch: [23] [3550/5278] eta: 1:14:24 lr: 2.2322186264065374e-05 loss: 0.0413 (0.0525) loss_seg: 0.0454 (0.0563) loss_lansim: 0.0880 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5934 data: 0.0026 max mem: 31671 Epoch: [23] [3560/5278] eta: 1:13:58 lr: 2.231985495171173e-05 loss: 0.0413 (0.0526) loss_seg: 0.0454 (0.0564) loss_lansim: 0.0873 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.5998 data: 0.0026 max mem: 31671 Epoch: [23] [3570/5278] eta: 1:13:32 lr: 2.231752361230155e-05 loss: 0.0411 (0.0526) loss_seg: 0.0448 (0.0564) loss_lansim: 0.0874 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.5964 data: 0.0026 max mem: 31671 Epoch: [23] [3580/5278] eta: 1:13:06 lr: 2.2315192245831388e-05 loss: 0.0411 (0.0526) loss_seg: 0.0448 (0.0564) loss_lansim: 0.0866 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5794 data: 0.0026 max mem: 31671 Epoch: [23] [3590/5278] eta: 1:12:40 lr: 2.2312860852297784e-05 loss: 0.0395 (0.0526) loss_seg: 0.0434 (0.0564) loss_lansim: 0.0856 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5717 data: 0.0026 max mem: 31671 Epoch: [23] [3600/5278] eta: 1:12:14 lr: 2.2310529431697293e-05 loss: 0.0441 (0.0526) loss_seg: 0.0458 (0.0564) loss_lansim: 0.0856 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.5694 data: 0.0026 max mem: 31671 Epoch: [23] [3610/5278] eta: 1:11:49 lr: 2.230819798402644e-05 loss: 0.0461 (0.0527) loss_seg: 0.0499 (0.0565) loss_lansim: 0.0853 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.5743 data: 0.0026 max mem: 31671 Epoch: [23] [3620/5278] eta: 1:11:22 lr: 2.2305866509281778e-05 loss: 0.0454 (0.0527) loss_seg: 0.0492 (0.0565) loss_lansim: 0.0843 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.5643 data: 0.0025 max mem: 31671 Epoch: [23] [3630/5278] eta: 1:10:57 lr: 2.2303535007459846e-05 loss: 0.0457 (0.0527) loss_seg: 0.0498 (0.0565) loss_lansim: 0.0837 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5704 data: 0.0025 max mem: 31671 Epoch: [23] [3640/5278] eta: 1:10:31 lr: 2.230120347855719e-05 loss: 0.0467 (0.0527) loss_seg: 0.0501 (0.0565) loss_lansim: 0.0843 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5771 data: 0.0025 max mem: 31671 Epoch: [23] [3650/5278] eta: 1:10:05 lr: 2.229887192257034e-05 loss: 0.0477 (0.0527) loss_seg: 0.0524 (0.0566) loss_lansim: 0.0823 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5771 data: 0.0025 max mem: 31671 Epoch: [23] [3660/5278] eta: 1:09:40 lr: 2.229654033949584e-05 loss: 0.0477 (0.0528) loss_seg: 0.0524 (0.0566) loss_lansim: 0.0818 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5824 data: 0.0025 max mem: 31671 Epoch: [23] [3670/5278] eta: 1:09:14 lr: 2.2294208729330227e-05 loss: 0.0479 (0.0529) loss_seg: 0.0526 (0.0567) loss_lansim: 0.0816 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.5879 data: 0.0025 max mem: 31671 Epoch: [23] [3680/5278] eta: 1:08:49 lr: 2.229187709207004e-05 loss: 0.0478 (0.0528) loss_seg: 0.0524 (0.0567) loss_lansim: 0.0820 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.6058 data: 0.0026 max mem: 31671 Epoch: [23] [3690/5278] eta: 1:08:23 lr: 2.228954542771181e-05 loss: 0.0481 (0.0528) loss_seg: 0.0526 (0.0567) loss_lansim: 0.0825 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.6106 data: 0.0026 max mem: 31671 Epoch: [23] [3700/5278] eta: 1:07:57 lr: 2.2287213736252078e-05 loss: 0.0486 (0.0529) loss_seg: 0.0524 (0.0568) loss_lansim: 0.0829 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.6153 data: 0.0026 max mem: 31671 Epoch: [23] [3710/5278] eta: 1:07:31 lr: 2.2284882017687374e-05 loss: 0.0475 (0.0530) loss_seg: 0.0497 (0.0568) loss_lansim: 0.0843 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.6101 data: 0.0026 max mem: 31671 Epoch: [23] [3720/5278] eta: 1:07:06 lr: 2.2282550272014242e-05 loss: 0.0475 (0.0529) loss_seg: 0.0501 (0.0568) loss_lansim: 0.0851 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.6206 data: 0.0027 max mem: 31671 Epoch: [23] [3730/5278] eta: 1:06:40 lr: 2.22802184992292e-05 loss: 0.0486 (0.0529) loss_seg: 0.0516 (0.0568) loss_lansim: 0.0854 (0.0854) loss_contra: 0.0001 (0.0038) time: 2.6179 data: 0.0027 max mem: 31671 Epoch: [23] [3740/5278] eta: 1:06:14 lr: 2.2277886699328786e-05 loss: 0.0455 (0.0529) loss_seg: 0.0490 (0.0567) loss_lansim: 0.0852 (0.0853) loss_contra: 0.0001 (0.0038) time: 2.6234 data: 0.0027 max mem: 31671 Epoch: [23] [3750/5278] eta: 1:05:48 lr: 2.227555487230953e-05 loss: 0.0450 (0.0529) loss_seg: 0.0479 (0.0567) loss_lansim: 0.0853 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.6240 data: 0.0027 max mem: 31671 Epoch: [23] [3760/5278] eta: 1:05:23 lr: 2.2273223018167974e-05 loss: 0.0428 (0.0529) loss_seg: 0.0470 (0.0567) loss_lansim: 0.0853 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.6228 data: 0.0027 max mem: 31671 Epoch: [23] [3770/5278] eta: 1:04:57 lr: 2.2270891136900632e-05 loss: 0.0432 (0.0529) loss_seg: 0.0473 (0.0567) loss_lansim: 0.0853 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.6242 data: 0.0027 max mem: 31671 Epoch: [23] [3780/5278] eta: 1:04:31 lr: 2.2268559228504034e-05 loss: 0.0454 (0.0529) loss_seg: 0.0485 (0.0567) loss_lansim: 0.0848 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.6118 data: 0.0027 max mem: 31671 Epoch: [23] [3790/5278] eta: 1:04:05 lr: 2.2266227292974715e-05 loss: 0.0444 (0.0529) loss_seg: 0.0481 (0.0567) loss_lansim: 0.0830 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6074 data: 0.0027 max mem: 31671 Epoch: [23] [3800/5278] eta: 1:03:40 lr: 2.2263895330309197e-05 loss: 0.0421 (0.0528) loss_seg: 0.0464 (0.0567) loss_lansim: 0.0823 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6086 data: 0.0027 max mem: 31671 Epoch: [23] [3810/5278] eta: 1:03:14 lr: 2.2261563340504015e-05 loss: 0.0418 (0.0528) loss_seg: 0.0460 (0.0567) loss_lansim: 0.0823 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6101 data: 0.0027 max mem: 31671 Epoch: [23] [3820/5278] eta: 1:02:48 lr: 2.2259231323555683e-05 loss: 0.0417 (0.0528) loss_seg: 0.0458 (0.0567) loss_lansim: 0.0823 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6046 data: 0.0027 max mem: 31671 Epoch: [23] [3830/5278] eta: 1:02:22 lr: 2.2256899279460727e-05 loss: 0.0418 (0.0528) loss_seg: 0.0460 (0.0567) loss_lansim: 0.0830 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6045 data: 0.0027 max mem: 31671 Epoch: [23] [3840/5278] eta: 1:01:57 lr: 2.2254567208215672e-05 loss: 0.0417 (0.0528) loss_seg: 0.0458 (0.0566) loss_lansim: 0.0826 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6032 data: 0.0027 max mem: 31671 Epoch: [23] [3850/5278] eta: 1:01:31 lr: 2.225223510981705e-05 loss: 0.0418 (0.0528) loss_seg: 0.0460 (0.0566) loss_lansim: 0.0826 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6032 data: 0.0027 max mem: 31671 Epoch: [23] [3860/5278] eta: 1:01:05 lr: 2.2249902984261366e-05 loss: 0.0450 (0.0528) loss_seg: 0.0497 (0.0566) loss_lansim: 0.0831 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.5947 data: 0.0027 max mem: 31671 Epoch: [23] [3870/5278] eta: 1:00:39 lr: 2.2247570831545155e-05 loss: 0.0450 (0.0528) loss_seg: 0.0497 (0.0567) loss_lansim: 0.0842 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.5938 data: 0.0027 max mem: 31671 Epoch: [23] [3880/5278] eta: 1:00:13 lr: 2.2245238651664922e-05 loss: 0.0438 (0.0529) loss_seg: 0.0482 (0.0567) loss_lansim: 0.0844 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.5969 data: 0.0027 max mem: 31671 Epoch: [23] [3890/5278] eta: 0:59:47 lr: 2.224290644461721e-05 loss: 0.0444 (0.0529) loss_seg: 0.0488 (0.0567) loss_lansim: 0.0845 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.5958 data: 0.0026 max mem: 31671 Epoch: [23] [3900/5278] eta: 0:59:21 lr: 2.2240574210398512e-05 loss: 0.0449 (0.0529) loss_seg: 0.0488 (0.0567) loss_lansim: 0.0852 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.5872 data: 0.0026 max mem: 31671 Epoch: [23] [3910/5278] eta: 0:58:56 lr: 2.223824194900536e-05 loss: 0.0460 (0.0529) loss_seg: 0.0495 (0.0568) loss_lansim: 0.0852 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.5944 data: 0.0026 max mem: 31671 Epoch: [23] [3920/5278] eta: 0:58:30 lr: 2.2235909660434262e-05 loss: 0.0476 (0.0529) loss_seg: 0.0508 (0.0568) loss_lansim: 0.0858 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.6008 data: 0.0026 max mem: 31671 Epoch: [23] [3930/5278] eta: 0:58:04 lr: 2.223357734468175e-05 loss: 0.0461 (0.0529) loss_seg: 0.0497 (0.0567) loss_lansim: 0.0843 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.6024 data: 0.0026 max mem: 31671 Epoch: [23] [3940/5278] eta: 0:57:38 lr: 2.223124500174432e-05 loss: 0.0494 (0.0529) loss_seg: 0.0537 (0.0568) loss_lansim: 0.0845 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.5877 data: 0.0025 max mem: 31671 Epoch: [23] [3950/5278] eta: 0:57:12 lr: 2.2228912631618495e-05 loss: 0.0487 (0.0530) loss_seg: 0.0536 (0.0568) loss_lansim: 0.0845 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.5918 data: 0.0025 max mem: 31671 Epoch: [23] [3960/5278] eta: 0:56:47 lr: 2.2226580234300786e-05 loss: 0.0474 (0.0530) loss_seg: 0.0513 (0.0569) loss_lansim: 0.0843 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.5957 data: 0.0025 max mem: 31671 Epoch: [23] [3970/5278] eta: 0:56:21 lr: 2.2224247809787714e-05 loss: 0.0465 (0.0530) loss_seg: 0.0498 (0.0569) loss_lansim: 0.0836 (0.0853) loss_contra: 0.0000 (0.0038) time: 2.5930 data: 0.0025 max mem: 31671 Epoch: [23] [3980/5278] eta: 0:55:55 lr: 2.2221915358075775e-05 loss: 0.0461 (0.0530) loss_seg: 0.0489 (0.0569) loss_lansim: 0.0834 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.5988 data: 0.0025 max mem: 31671 Epoch: [23] [3990/5278] eta: 0:55:29 lr: 2.2219582879161494e-05 loss: 0.0469 (0.0531) loss_seg: 0.0508 (0.0569) loss_lansim: 0.0834 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.5963 data: 0.0025 max mem: 31671 Epoch: [23] [4000/5278] eta: 0:55:04 lr: 2.2217250373041372e-05 loss: 0.0476 (0.0531) loss_seg: 0.0513 (0.0569) loss_lansim: 0.0834 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6022 data: 0.0025 max mem: 31671 Epoch: [23] [4010/5278] eta: 0:54:38 lr: 2.2214917839711922e-05 loss: 0.0465 (0.0531) loss_seg: 0.0508 (0.0569) loss_lansim: 0.0834 (0.0853) loss_contra: 0.0001 (0.0037) time: 2.5991 data: 0.0025 max mem: 31671 Epoch: [23] [4020/5278] eta: 0:54:12 lr: 2.2212585279169652e-05 loss: 0.0474 (0.0531) loss_seg: 0.0513 (0.0570) loss_lansim: 0.0831 (0.0853) loss_contra: 0.0001 (0.0037) time: 2.6076 data: 0.0025 max mem: 31671 Epoch: [23] [4030/5278] eta: 0:53:46 lr: 2.2210252691411065e-05 loss: 0.0517 (0.0531) loss_seg: 0.0563 (0.0570) loss_lansim: 0.0836 (0.0853) loss_contra: 0.0001 (0.0037) time: 2.6040 data: 0.0025 max mem: 31671 Epoch: [23] [4040/5278] eta: 0:53:21 lr: 2.220792007643267e-05 loss: 0.0465 (0.0531) loss_seg: 0.0504 (0.0570) loss_lansim: 0.0836 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6193 data: 0.0025 max mem: 31671 Epoch: [23] [4050/5278] eta: 0:52:55 lr: 2.220558743423098e-05 loss: 0.0481 (0.0531) loss_seg: 0.0521 (0.0570) loss_lansim: 0.0836 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6104 data: 0.0025 max mem: 31671 Epoch: [23] [4060/5278] eta: 0:52:29 lr: 2.2203254764802493e-05 loss: 0.0457 (0.0531) loss_seg: 0.0494 (0.0570) loss_lansim: 0.0839 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6179 data: 0.0026 max mem: 31671 Epoch: [23] [4070/5278] eta: 0:52:03 lr: 2.2200922068143705e-05 loss: 0.0511 (0.0532) loss_seg: 0.0563 (0.0570) loss_lansim: 0.0839 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6176 data: 0.0026 max mem: 31671 Epoch: [23] [4080/5278] eta: 0:51:38 lr: 2.2198589344251135e-05 loss: 0.0511 (0.0532) loss_seg: 0.0563 (0.0570) loss_lansim: 0.0839 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6148 data: 0.0025 max mem: 31671 Epoch: [23] [4090/5278] eta: 0:51:11 lr: 2.219625659312127e-05 loss: 0.0511 (0.0532) loss_seg: 0.0563 (0.0571) loss_lansim: 0.0841 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6100 data: 0.0025 max mem: 31671 Epoch: [23] [4100/5278] eta: 0:50:46 lr: 2.219392381475063e-05 loss: 0.0512 (0.0532) loss_seg: 0.0563 (0.0571) loss_lansim: 0.0841 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6077 data: 0.0026 max mem: 31671 Epoch: [23] [4110/5278] eta: 0:50:20 lr: 2.2191591009135692e-05 loss: 0.0473 (0.0532) loss_seg: 0.0513 (0.0571) loss_lansim: 0.0834 (0.0853) loss_contra: 0.0000 (0.0037) time: 2.6034 data: 0.0027 max mem: 31671 Epoch: [23] [4120/5278] eta: 0:49:54 lr: 2.218925817627297e-05 loss: 0.0439 (0.0532) loss_seg: 0.0466 (0.0570) loss_lansim: 0.0833 (0.0852) loss_contra: 0.0000 (0.0037) time: 2.5963 data: 0.0027 max mem: 31671 Epoch: [23] [4130/5278] eta: 0:49:28 lr: 2.2186925316158962e-05 loss: 0.0439 (0.0532) loss_seg: 0.0466 (0.0570) loss_lansim: 0.0817 (0.0852) loss_contra: 0.0000 (0.0037) time: 2.6049 data: 0.0027 max mem: 31671 Epoch: [23] [4140/5278] eta: 0:49:03 lr: 2.2184592428790164e-05 loss: 0.0424 (0.0532) loss_seg: 0.0450 (0.0571) loss_lansim: 0.0799 (0.0852) loss_contra: 0.0000 (0.0037) time: 2.6035 data: 0.0027 max mem: 31671 Epoch: [23] [4150/5278] eta: 0:48:37 lr: 2.2182259514163077e-05 loss: 0.0448 (0.0532) loss_seg: 0.0470 (0.0571) loss_lansim: 0.0796 (0.0852) loss_contra: 0.0000 (0.0037) time: 2.6073 data: 0.0026 max mem: 31671 Epoch: [23] [4160/5278] eta: 0:48:11 lr: 2.2179926572274184e-05 loss: 0.0454 (0.0532) loss_seg: 0.0476 (0.0571) loss_lansim: 0.0780 (0.0852) loss_contra: 0.0000 (0.0036) time: 2.5968 data: 0.0027 max mem: 31671 Epoch: [23] [4170/5278] eta: 0:47:45 lr: 2.2177593603119995e-05 loss: 0.0439 (0.0532) loss_seg: 0.0466 (0.0571) loss_lansim: 0.0779 (0.0852) loss_contra: 0.0001 (0.0036) time: 2.5984 data: 0.0027 max mem: 31671 Epoch: [23] [4180/5278] eta: 0:47:19 lr: 2.2175260606697003e-05 loss: 0.0460 (0.0532) loss_seg: 0.0494 (0.0571) loss_lansim: 0.0800 (0.0852) loss_contra: 0.0000 (0.0036) time: 2.5938 data: 0.0027 max mem: 31671 Epoch: [23] [4190/5278] eta: 0:46:53 lr: 2.217292758300169e-05 loss: 0.0454 (0.0532) loss_seg: 0.0480 (0.0571) loss_lansim: 0.0796 (0.0852) loss_contra: 0.0000 (0.0036) time: 2.6053 data: 0.0027 max mem: 31671 Epoch: [23] [4200/5278] eta: 0:46:28 lr: 2.217059453203056e-05 loss: 0.0448 (0.0532) loss_seg: 0.0476 (0.0571) loss_lansim: 0.0804 (0.0852) loss_contra: 0.0000 (0.0036) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [23] [4210/5278] eta: 0:46:02 lr: 2.21682614537801e-05 loss: 0.0460 (0.0533) loss_seg: 0.0496 (0.0571) loss_lansim: 0.0804 (0.0852) loss_contra: 0.0000 (0.0036) time: 2.6067 data: 0.0025 max mem: 31671 Epoch: [23] [4220/5278] eta: 0:45:36 lr: 2.2165928348246802e-05 loss: 0.0465 (0.0532) loss_seg: 0.0508 (0.0571) loss_lansim: 0.0804 (0.0852) loss_contra: 0.0000 (0.0036) time: 2.6053 data: 0.0025 max mem: 31671 Epoch: [23] [4230/5278] eta: 0:45:10 lr: 2.2163595215427155e-05 loss: 0.0465 (0.0532) loss_seg: 0.0512 (0.0571) loss_lansim: 0.0805 (0.0851) loss_contra: 0.0000 (0.0036) time: 2.5945 data: 0.0025 max mem: 31671 Epoch: [23] [4240/5278] eta: 0:44:44 lr: 2.216126205531765e-05 loss: 0.0464 (0.0533) loss_seg: 0.0505 (0.0571) loss_lansim: 0.0841 (0.0852) loss_contra: 0.0000 (0.0036) time: 2.5808 data: 0.0025 max mem: 31671 Epoch: [23] [4250/5278] eta: 0:44:18 lr: 2.2158928867914775e-05 loss: 0.0454 (0.0532) loss_seg: 0.0496 (0.0571) loss_lansim: 0.0841 (0.0851) loss_contra: 0.0000 (0.0036) time: 2.5761 data: 0.0026 max mem: 31671 Epoch: [23] [4260/5278] eta: 0:43:52 lr: 2.215659565321502e-05 loss: 0.0460 (0.0533) loss_seg: 0.0496 (0.0571) loss_lansim: 0.0834 (0.0851) loss_contra: 0.0000 (0.0036) time: 2.5864 data: 0.0026 max mem: 31671 Epoch: [23] [4270/5278] eta: 0:43:26 lr: 2.2154262411214863e-05 loss: 0.0485 (0.0533) loss_seg: 0.0499 (0.0572) loss_lansim: 0.0812 (0.0851) loss_contra: 0.0000 (0.0036) time: 2.5870 data: 0.0026 max mem: 31671 Epoch: [23] [4280/5278] eta: 0:43:01 lr: 2.21519291419108e-05 loss: 0.0485 (0.0533) loss_seg: 0.0511 (0.0572) loss_lansim: 0.0788 (0.0851) loss_contra: 0.0000 (0.0036) time: 2.5869 data: 0.0026 max mem: 31671 Epoch: [23] [4290/5278] eta: 0:42:35 lr: 2.2149595845299306e-05 loss: 0.0464 (0.0533) loss_seg: 0.0498 (0.0572) loss_lansim: 0.0788 (0.0851) loss_contra: 0.0000 (0.0036) time: 2.5841 data: 0.0026 max mem: 31671 Epoch: [23] [4300/5278] eta: 0:42:09 lr: 2.2147262521376873e-05 loss: 0.0455 (0.0533) loss_seg: 0.0496 (0.0572) loss_lansim: 0.0785 (0.0851) loss_contra: 0.0001 (0.0036) time: 2.5875 data: 0.0026 max mem: 31671 Epoch: [23] [4310/5278] eta: 0:41:43 lr: 2.214492917013999e-05 loss: 0.0455 (0.0533) loss_seg: 0.0496 (0.0572) loss_lansim: 0.0785 (0.0851) loss_contra: 0.0001 (0.0036) time: 2.5927 data: 0.0026 max mem: 31671 Epoch: [23] [4320/5278] eta: 0:41:17 lr: 2.2142595791585124e-05 loss: 0.0464 (0.0533) loss_seg: 0.0496 (0.0572) loss_lansim: 0.0785 (0.0850) loss_contra: 0.0001 (0.0036) time: 2.5959 data: 0.0025 max mem: 31671 Epoch: [23] [4330/5278] eta: 0:40:52 lr: 2.2140262385708763e-05 loss: 0.0464 (0.0533) loss_seg: 0.0495 (0.0572) loss_lansim: 0.0785 (0.0850) loss_contra: 0.0001 (0.0036) time: 2.6011 data: 0.0025 max mem: 31671 Epoch: [23] [4340/5278] eta: 0:40:26 lr: 2.2137928952507387e-05 loss: 0.0468 (0.0533) loss_seg: 0.0511 (0.0572) loss_lansim: 0.0777 (0.0850) loss_contra: 0.0001 (0.0036) time: 2.6081 data: 0.0026 max mem: 31671 Epoch: [23] [4350/5278] eta: 0:40:00 lr: 2.2135595491977486e-05 loss: 0.0468 (0.0533) loss_seg: 0.0498 (0.0572) loss_lansim: 0.0777 (0.0850) loss_contra: 0.0001 (0.0036) time: 2.6161 data: 0.0026 max mem: 31671 Epoch: [23] [4360/5278] eta: 0:39:34 lr: 2.2133262004115523e-05 loss: 0.0466 (0.0533) loss_seg: 0.0495 (0.0572) loss_lansim: 0.0779 (0.0850) loss_contra: 0.0001 (0.0036) time: 2.5997 data: 0.0026 max mem: 31671 Epoch: [23] [4370/5278] eta: 0:39:08 lr: 2.2130928488917983e-05 loss: 0.0454 (0.0533) loss_seg: 0.0477 (0.0572) loss_lansim: 0.0788 (0.0850) loss_contra: 0.0001 (0.0036) time: 2.5988 data: 0.0026 max mem: 31671 Epoch: [23] [4380/5278] eta: 0:38:42 lr: 2.2128594946381344e-05 loss: 0.0432 (0.0533) loss_seg: 0.0444 (0.0572) loss_lansim: 0.0788 (0.0850) loss_contra: 0.0001 (0.0036) time: 2.5963 data: 0.0026 max mem: 31671 Epoch: [23] [4390/5278] eta: 0:38:16 lr: 2.2126261376502085e-05 loss: 0.0408 (0.0533) loss_seg: 0.0444 (0.0572) loss_lansim: 0.0788 (0.0850) loss_contra: 0.0001 (0.0036) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [23] [4400/5278] eta: 0:37:50 lr: 2.212392777927667e-05 loss: 0.0406 (0.0533) loss_seg: 0.0440 (0.0572) loss_lansim: 0.0788 (0.0850) loss_contra: 0.0000 (0.0036) time: 2.5906 data: 0.0026 max mem: 31671 Epoch: [23] [4410/5278] eta: 0:37:24 lr: 2.2121594154701585e-05 loss: 0.0408 (0.0533) loss_seg: 0.0440 (0.0572) loss_lansim: 0.0782 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5753 data: 0.0027 max mem: 31671 Epoch: [23] [4420/5278] eta: 0:36:59 lr: 2.21192605027733e-05 loss: 0.0431 (0.0533) loss_seg: 0.0445 (0.0572) loss_lansim: 0.0788 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5729 data: 0.0027 max mem: 31671 Epoch: [23] [4430/5278] eta: 0:36:33 lr: 2.2116926823488294e-05 loss: 0.0411 (0.0533) loss_seg: 0.0440 (0.0572) loss_lansim: 0.0782 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5668 data: 0.0027 max mem: 31671 Epoch: [23] [4440/5278] eta: 0:36:07 lr: 2.2114593116843026e-05 loss: 0.0394 (0.0533) loss_seg: 0.0431 (0.0572) loss_lansim: 0.0786 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5720 data: 0.0026 max mem: 31671 Epoch: [23] [4450/5278] eta: 0:35:41 lr: 2.2112259382833972e-05 loss: 0.0396 (0.0533) loss_seg: 0.0433 (0.0572) loss_lansim: 0.0786 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5690 data: 0.0026 max mem: 31671 Epoch: [23] [4460/5278] eta: 0:35:15 lr: 2.2109925621457606e-05 loss: 0.0404 (0.0533) loss_seg: 0.0440 (0.0572) loss_lansim: 0.0788 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5765 data: 0.0026 max mem: 31671 Epoch: [23] [4470/5278] eta: 0:34:49 lr: 2.21075918327104e-05 loss: 0.0411 (0.0533) loss_seg: 0.0441 (0.0572) loss_lansim: 0.0793 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5757 data: 0.0026 max mem: 31671 Epoch: [23] [4480/5278] eta: 0:34:23 lr: 2.2105258016588813e-05 loss: 0.0439 (0.0533) loss_seg: 0.0478 (0.0572) loss_lansim: 0.0793 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5769 data: 0.0026 max mem: 31671 Epoch: [23] [4490/5278] eta: 0:33:57 lr: 2.2102924173089316e-05 loss: 0.0442 (0.0533) loss_seg: 0.0480 (0.0572) loss_lansim: 0.0799 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5796 data: 0.0025 max mem: 31671 Epoch: [23] [4500/5278] eta: 0:33:32 lr: 2.2100590302208378e-05 loss: 0.0442 (0.0533) loss_seg: 0.0480 (0.0573) loss_lansim: 0.0803 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5761 data: 0.0025 max mem: 31671 Epoch: [23] [4510/5278] eta: 0:33:06 lr: 2.2098256403942472e-05 loss: 0.0439 (0.0534) loss_seg: 0.0480 (0.0573) loss_lansim: 0.0803 (0.0849) loss_contra: 0.0000 (0.0036) time: 2.5939 data: 0.0025 max mem: 31671 Epoch: [23] [4520/5278] eta: 0:32:40 lr: 2.2095922478288046e-05 loss: 0.0442 (0.0534) loss_seg: 0.0484 (0.0573) loss_lansim: 0.0804 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.5880 data: 0.0025 max mem: 31671 Epoch: [23] [4530/5278] eta: 0:32:14 lr: 2.2093588525241575e-05 loss: 0.0439 (0.0534) loss_seg: 0.0480 (0.0573) loss_lansim: 0.0803 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.5979 data: 0.0026 max mem: 31671 Epoch: [23] [4540/5278] eta: 0:31:48 lr: 2.209125454479952e-05 loss: 0.0459 (0.0534) loss_seg: 0.0494 (0.0573) loss_lansim: 0.0803 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.6001 data: 0.0026 max mem: 31671 Epoch: [23] [4550/5278] eta: 0:31:23 lr: 2.2088920536958342e-05 loss: 0.0453 (0.0533) loss_seg: 0.0494 (0.0573) loss_lansim: 0.0799 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.6029 data: 0.0026 max mem: 31671 Epoch: [23] [4560/5278] eta: 0:30:57 lr: 2.2086586501714513e-05 loss: 0.0453 (0.0533) loss_seg: 0.0497 (0.0572) loss_lansim: 0.0785 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.6098 data: 0.0026 max mem: 31671 Epoch: [23] [4570/5278] eta: 0:30:31 lr: 2.2084252439064475e-05 loss: 0.0447 (0.0533) loss_seg: 0.0492 (0.0572) loss_lansim: 0.0777 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.6102 data: 0.0026 max mem: 31671 Epoch: [23] [4580/5278] eta: 0:30:05 lr: 2.2081918349004702e-05 loss: 0.0447 (0.0533) loss_seg: 0.0492 (0.0572) loss_lansim: 0.0778 (0.0848) loss_contra: 0.0000 (0.0036) time: 2.6111 data: 0.0026 max mem: 31671 Epoch: [23] [4590/5278] eta: 0:29:39 lr: 2.2079584231531646e-05 loss: 0.0435 (0.0533) loss_seg: 0.0479 (0.0572) loss_lansim: 0.0762 (0.0847) loss_contra: 0.0001 (0.0036) time: 2.6054 data: 0.0026 max mem: 31671 Epoch: [23] [4600/5278] eta: 0:29:13 lr: 2.2077250086641773e-05 loss: 0.0435 (0.0533) loss_seg: 0.0474 (0.0572) loss_lansim: 0.0761 (0.0847) loss_contra: 0.0000 (0.0036) time: 2.6065 data: 0.0025 max mem: 31671 Epoch: [23] [4610/5278] eta: 0:28:48 lr: 2.2074915914331533e-05 loss: 0.0435 (0.0533) loss_seg: 0.0474 (0.0572) loss_lansim: 0.0773 (0.0847) loss_contra: 0.0001 (0.0036) time: 2.6086 data: 0.0026 max mem: 31671 Epoch: [23] [4620/5278] eta: 0:28:22 lr: 2.2072581714597378e-05 loss: 0.0399 (0.0533) loss_seg: 0.0437 (0.0572) loss_lansim: 0.0761 (0.0847) loss_contra: 0.0001 (0.0036) time: 2.6104 data: 0.0026 max mem: 31671 Epoch: [23] [4630/5278] eta: 0:27:56 lr: 2.207024748743577e-05 loss: 0.0421 (0.0533) loss_seg: 0.0464 (0.0572) loss_lansim: 0.0773 (0.0847) loss_contra: 0.0001 (0.0036) time: 2.6106 data: 0.0026 max mem: 31671 Epoch: [23] [4640/5278] eta: 0:27:30 lr: 2.2067913232843175e-05 loss: 0.0421 (0.0534) loss_seg: 0.0464 (0.0573) loss_lansim: 0.0773 (0.0847) loss_contra: 0.0001 (0.0036) time: 2.6119 data: 0.0026 max mem: 31671 Epoch: [23] [4650/5278] eta: 0:27:04 lr: 2.2065578950816022e-05 loss: 0.0421 (0.0533) loss_seg: 0.0464 (0.0572) loss_lansim: 0.0774 (0.0847) loss_contra: 0.0001 (0.0036) time: 2.6097 data: 0.0026 max mem: 31671 Epoch: [23] [4660/5278] eta: 0:26:38 lr: 2.206324464135078e-05 loss: 0.0424 (0.0533) loss_seg: 0.0465 (0.0572) loss_lansim: 0.0774 (0.0847) loss_contra: 0.0001 (0.0036) time: 2.5970 data: 0.0026 max mem: 31671 Epoch: [23] [4670/5278] eta: 0:26:12 lr: 2.2060910304443894e-05 loss: 0.0427 (0.0533) loss_seg: 0.0472 (0.0573) loss_lansim: 0.0781 (0.0847) loss_contra: 0.0001 (0.0036) time: 2.5945 data: 0.0026 max mem: 31671 Epoch: [23] [4680/5278] eta: 0:25:47 lr: 2.2058575940091823e-05 loss: 0.0427 (0.0534) loss_seg: 0.0472 (0.0573) loss_lansim: 0.0774 (0.0847) loss_contra: 0.0000 (0.0036) time: 2.6026 data: 0.0026 max mem: 31671 Epoch: [23] [4690/5278] eta: 0:25:21 lr: 2.205624154829101e-05 loss: 0.0431 (0.0534) loss_seg: 0.0474 (0.0573) loss_lansim: 0.0771 (0.0846) loss_contra: 0.0000 (0.0036) time: 2.6024 data: 0.0026 max mem: 31671 Epoch: [23] [4700/5278] eta: 0:24:55 lr: 2.2053907129037905e-05 loss: 0.0445 (0.0534) loss_seg: 0.0484 (0.0573) loss_lansim: 0.0769 (0.0846) loss_contra: 0.0000 (0.0036) time: 2.5952 data: 0.0026 max mem: 31671 Epoch: [23] [4710/5278] eta: 0:24:29 lr: 2.2051572682328957e-05 loss: 0.0438 (0.0534) loss_seg: 0.0472 (0.0573) loss_lansim: 0.0771 (0.0846) loss_contra: 0.0001 (0.0037) time: 2.5862 data: 0.0026 max mem: 31671 Epoch: [23] [4720/5278] eta: 0:24:03 lr: 2.204923820816062e-05 loss: 0.0472 (0.0534) loss_seg: 0.0490 (0.0573) loss_lansim: 0.0770 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.5898 data: 0.0026 max mem: 31671 Epoch: [23] [4730/5278] eta: 0:23:37 lr: 2.2046903706529326e-05 loss: 0.0477 (0.0534) loss_seg: 0.0519 (0.0574) loss_lansim: 0.0788 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.5945 data: 0.0026 max mem: 31671 Epoch: [23] [4740/5278] eta: 0:23:11 lr: 2.2044569177431533e-05 loss: 0.0477 (0.0535) loss_seg: 0.0519 (0.0575) loss_lansim: 0.0792 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.5809 data: 0.0025 max mem: 31671 Epoch: [23] [4750/5278] eta: 0:22:45 lr: 2.204223462086368e-05 loss: 0.0499 (0.0535) loss_seg: 0.0539 (0.0575) loss_lansim: 0.0795 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.5839 data: 0.0025 max mem: 31671 Epoch: [23] [4760/5278] eta: 0:22:20 lr: 2.203990003682222e-05 loss: 0.0519 (0.0536) loss_seg: 0.0553 (0.0575) loss_lansim: 0.0800 (0.0846) loss_contra: 0.0000 (0.0036) time: 2.5942 data: 0.0025 max mem: 31671 Epoch: [23] [4770/5278] eta: 0:21:54 lr: 2.2037565425303593e-05 loss: 0.0533 (0.0535) loss_seg: 0.0553 (0.0575) loss_lansim: 0.0795 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.6039 data: 0.0024 max mem: 31671 Epoch: [23] [4780/5278] eta: 0:21:28 lr: 2.203523078630423e-05 loss: 0.0515 (0.0535) loss_seg: 0.0549 (0.0575) loss_lansim: 0.0793 (0.0846) loss_contra: 0.0000 (0.0036) time: 2.5981 data: 0.0025 max mem: 31671 Epoch: [23] [4790/5278] eta: 0:21:02 lr: 2.203289611982058e-05 loss: 0.0515 (0.0536) loss_seg: 0.0549 (0.0575) loss_lansim: 0.0793 (0.0846) loss_contra: 0.0000 (0.0036) time: 2.6115 data: 0.0025 max mem: 31671 Epoch: [23] [4800/5278] eta: 0:20:36 lr: 2.2030561425849083e-05 loss: 0.0489 (0.0535) loss_seg: 0.0537 (0.0575) loss_lansim: 0.0792 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.6177 data: 0.0025 max mem: 31671 Epoch: [23] [4810/5278] eta: 0:20:10 lr: 2.2028226704386183e-05 loss: 0.0489 (0.0535) loss_seg: 0.0537 (0.0575) loss_lansim: 0.0785 (0.0846) loss_contra: 0.0001 (0.0037) time: 2.6127 data: 0.0025 max mem: 31671 Epoch: [23] [4820/5278] eta: 0:19:44 lr: 2.2025891955428317e-05 loss: 0.0461 (0.0535) loss_seg: 0.0491 (0.0574) loss_lansim: 0.0804 (0.0846) loss_contra: 0.0001 (0.0037) time: 2.6056 data: 0.0025 max mem: 31671 Epoch: [23] [4830/5278] eta: 0:19:19 lr: 2.202355717897191e-05 loss: 0.0446 (0.0535) loss_seg: 0.0484 (0.0574) loss_lansim: 0.0790 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.6031 data: 0.0025 max mem: 31671 Epoch: [23] [4840/5278] eta: 0:18:53 lr: 2.202122237501342e-05 loss: 0.0443 (0.0535) loss_seg: 0.0482 (0.0574) loss_lansim: 0.0795 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.6091 data: 0.0025 max mem: 31671 Epoch: [23] [4850/5278] eta: 0:18:27 lr: 2.201888754354927e-05 loss: 0.0437 (0.0535) loss_seg: 0.0466 (0.0574) loss_lansim: 0.0788 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.6090 data: 0.0026 max mem: 31671 Epoch: [23] [4860/5278] eta: 0:18:01 lr: 2.20165526845759e-05 loss: 0.0427 (0.0535) loss_seg: 0.0463 (0.0574) loss_lansim: 0.0795 (0.0846) loss_contra: 0.0001 (0.0036) time: 2.6035 data: 0.0026 max mem: 31671 Epoch: [23] [4870/5278] eta: 0:17:35 lr: 2.2014217798089737e-05 loss: 0.0420 (0.0535) loss_seg: 0.0444 (0.0574) loss_lansim: 0.0792 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5939 data: 0.0026 max mem: 31671 Epoch: [23] [4880/5278] eta: 0:17:09 lr: 2.201188288408722e-05 loss: 0.0421 (0.0535) loss_seg: 0.0461 (0.0574) loss_lansim: 0.0799 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5937 data: 0.0026 max mem: 31671 Epoch: [23] [4890/5278] eta: 0:16:43 lr: 2.200954794256479e-05 loss: 0.0418 (0.0535) loss_seg: 0.0435 (0.0574) loss_lansim: 0.0805 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5811 data: 0.0026 max mem: 31671 Epoch: [23] [4900/5278] eta: 0:16:18 lr: 2.200721297351886e-05 loss: 0.0420 (0.0535) loss_seg: 0.0447 (0.0574) loss_lansim: 0.0805 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5800 data: 0.0026 max mem: 31671 Epoch: [23] [4910/5278] eta: 0:15:52 lr: 2.2004877976945874e-05 loss: 0.0420 (0.0535) loss_seg: 0.0442 (0.0574) loss_lansim: 0.0800 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5900 data: 0.0026 max mem: 31671 Epoch: [23] [4920/5278] eta: 0:15:26 lr: 2.2002542952842256e-05 loss: 0.0420 (0.0535) loss_seg: 0.0447 (0.0574) loss_lansim: 0.0795 (0.0845) loss_contra: 0.0000 (0.0036) time: 2.5927 data: 0.0026 max mem: 31671 Epoch: [23] [4930/5278] eta: 0:15:00 lr: 2.2000207901204444e-05 loss: 0.0419 (0.0535) loss_seg: 0.0439 (0.0574) loss_lansim: 0.0795 (0.0845) loss_contra: 0.0000 (0.0036) time: 2.5856 data: 0.0026 max mem: 31671 Epoch: [23] [4940/5278] eta: 0:14:34 lr: 2.1997872822028855e-05 loss: 0.0421 (0.0535) loss_seg: 0.0462 (0.0574) loss_lansim: 0.0792 (0.0845) loss_contra: 0.0000 (0.0036) time: 2.5824 data: 0.0026 max mem: 31671 Epoch: [23] [4950/5278] eta: 0:14:08 lr: 2.1995537715311922e-05 loss: 0.0447 (0.0535) loss_seg: 0.0464 (0.0574) loss_lansim: 0.0803 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5769 data: 0.0026 max mem: 31671 Epoch: [23] [4960/5278] eta: 0:13:42 lr: 2.1993202581050064e-05 loss: 0.0447 (0.0535) loss_seg: 0.0472 (0.0574) loss_lansim: 0.0792 (0.0845) loss_contra: 0.0000 (0.0036) time: 2.5744 data: 0.0026 max mem: 31671 Epoch: [23] [4970/5278] eta: 0:13:16 lr: 2.1990867419239726e-05 loss: 0.0466 (0.0535) loss_seg: 0.0502 (0.0575) loss_lansim: 0.0811 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5759 data: 0.0026 max mem: 31671 Epoch: [23] [4980/5278] eta: 0:12:51 lr: 2.198853222987731e-05 loss: 0.0466 (0.0535) loss_seg: 0.0502 (0.0575) loss_lansim: 0.0812 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5784 data: 0.0026 max mem: 31671 Epoch: [23] [4990/5278] eta: 0:12:25 lr: 2.1986197012959246e-05 loss: 0.0482 (0.0535) loss_seg: 0.0515 (0.0575) loss_lansim: 0.0803 (0.0845) loss_contra: 0.0001 (0.0036) time: 2.5779 data: 0.0026 max mem: 31671 Epoch: [23] [5000/5278] eta: 0:11:59 lr: 2.1983861768481963e-05 loss: 0.0467 (0.0535) loss_seg: 0.0512 (0.0575) loss_lansim: 0.0792 (0.0845) loss_contra: 0.0000 (0.0036) time: 2.5859 data: 0.0026 max mem: 31671 Epoch: [23] [5010/5278] eta: 0:11:33 lr: 2.1981526496441878e-05 loss: 0.0472 (0.0536) loss_seg: 0.0515 (0.0575) loss_lansim: 0.0792 (0.0845) loss_contra: 0.0000 (0.0035) time: 2.5782 data: 0.0026 max mem: 31671 Epoch: [23] [5020/5278] eta: 0:11:07 lr: 2.197919119683542e-05 loss: 0.0503 (0.0536) loss_seg: 0.0524 (0.0575) loss_lansim: 0.0789 (0.0845) loss_contra: 0.0000 (0.0035) time: 2.5855 data: 0.0026 max mem: 31671 Epoch: [23] [5030/5278] eta: 0:10:41 lr: 2.1976855869659e-05 loss: 0.0503 (0.0536) loss_seg: 0.0524 (0.0575) loss_lansim: 0.0779 (0.0844) loss_contra: 0.0001 (0.0036) time: 2.5897 data: 0.0026 max mem: 31671 Epoch: [23] [5040/5278] eta: 0:10:15 lr: 2.1974520514909037e-05 loss: 0.0496 (0.0536) loss_seg: 0.0519 (0.0575) loss_lansim: 0.0792 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5909 data: 0.0026 max mem: 31671 Epoch: [23] [5050/5278] eta: 0:09:49 lr: 2.1972185132581952e-05 loss: 0.0495 (0.0536) loss_seg: 0.0519 (0.0575) loss_lansim: 0.0778 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5890 data: 0.0026 max mem: 31671 Epoch: [23] [5060/5278] eta: 0:09:24 lr: 2.1969849722674167e-05 loss: 0.0494 (0.0536) loss_seg: 0.0519 (0.0575) loss_lansim: 0.0789 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [23] [5070/5278] eta: 0:08:58 lr: 2.1967514285182096e-05 loss: 0.0478 (0.0536) loss_seg: 0.0515 (0.0575) loss_lansim: 0.0781 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5841 data: 0.0026 max mem: 31671 Epoch: [23] [5080/5278] eta: 0:08:32 lr: 2.1965178820102145e-05 loss: 0.0490 (0.0536) loss_seg: 0.0515 (0.0575) loss_lansim: 0.0779 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5779 data: 0.0026 max mem: 31671 Epoch: [23] [5090/5278] eta: 0:08:06 lr: 2.196284332743074e-05 loss: 0.0478 (0.0536) loss_seg: 0.0506 (0.0575) loss_lansim: 0.0796 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5850 data: 0.0026 max mem: 31671 Epoch: [23] [5100/5278] eta: 0:07:40 lr: 2.19605078071643e-05 loss: 0.0472 (0.0536) loss_seg: 0.0499 (0.0575) loss_lansim: 0.0797 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5819 data: 0.0026 max mem: 31671 Epoch: [23] [5110/5278] eta: 0:07:14 lr: 2.195817225929922e-05 loss: 0.0472 (0.0536) loss_seg: 0.0494 (0.0575) loss_lansim: 0.0796 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5834 data: 0.0026 max mem: 31671 Epoch: [23] [5120/5278] eta: 0:06:48 lr: 2.1955836683831924e-05 loss: 0.0473 (0.0536) loss_seg: 0.0499 (0.0576) loss_lansim: 0.0791 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5890 data: 0.0026 max mem: 31671 Epoch: [23] [5130/5278] eta: 0:06:22 lr: 2.1953501080758823e-05 loss: 0.0472 (0.0536) loss_seg: 0.0495 (0.0575) loss_lansim: 0.0796 (0.0844) loss_contra: 0.0000 (0.0035) time: 2.5887 data: 0.0026 max mem: 31671 Epoch: [23] [5140/5278] eta: 0:05:57 lr: 2.195116545007633e-05 loss: 0.0472 (0.0536) loss_seg: 0.0499 (0.0575) loss_lansim: 0.0791 (0.0843) loss_contra: 0.0000 (0.0035) time: 2.5982 data: 0.0026 max mem: 31671 Epoch: [23] [5150/5278] eta: 0:05:31 lr: 2.194882979178084e-05 loss: 0.0490 (0.0536) loss_seg: 0.0523 (0.0576) loss_lansim: 0.0790 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.6054 data: 0.0026 max mem: 31671 Epoch: [23] [5160/5278] eta: 0:05:05 lr: 2.194649410586878e-05 loss: 0.0516 (0.0537) loss_seg: 0.0538 (0.0576) loss_lansim: 0.0786 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.6130 data: 0.0026 max mem: 31671 Epoch: [23] [5170/5278] eta: 0:04:39 lr: 2.1944158392336545e-05 loss: 0.0512 (0.0537) loss_seg: 0.0535 (0.0576) loss_lansim: 0.0775 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.6172 data: 0.0026 max mem: 31671 Epoch: [23] [5180/5278] eta: 0:04:13 lr: 2.1941822651180553e-05 loss: 0.0488 (0.0537) loss_seg: 0.0523 (0.0576) loss_lansim: 0.0777 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.6194 data: 0.0026 max mem: 31671 Epoch: [23] [5190/5278] eta: 0:03:47 lr: 2.1939486882397193e-05 loss: 0.0473 (0.0537) loss_seg: 0.0514 (0.0576) loss_lansim: 0.0771 (0.0843) loss_contra: 0.0000 (0.0035) time: 2.6221 data: 0.0026 max mem: 31671 Epoch: [23] [5200/5278] eta: 0:03:21 lr: 2.1937151085982884e-05 loss: 0.0481 (0.0537) loss_seg: 0.0523 (0.0577) loss_lansim: 0.0772 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.6187 data: 0.0026 max mem: 31671 Epoch: [23] [5210/5278] eta: 0:02:55 lr: 2.193481526193403e-05 loss: 0.0481 (0.0537) loss_seg: 0.0523 (0.0577) loss_lansim: 0.0772 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.6131 data: 0.0026 max mem: 31671 Epoch: [23] [5220/5278] eta: 0:02:30 lr: 2.1932479410247028e-05 loss: 0.0464 (0.0537) loss_seg: 0.0513 (0.0577) loss_lansim: 0.0780 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.6054 data: 0.0027 max mem: 31671 Epoch: [23] [5230/5278] eta: 0:02:04 lr: 2.1930143530918282e-05 loss: 0.0455 (0.0537) loss_seg: 0.0498 (0.0576) loss_lansim: 0.0768 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.5996 data: 0.0027 max mem: 31671 Epoch: [23] [5240/5278] eta: 0:01:38 lr: 2.1927807623944194e-05 loss: 0.0464 (0.0537) loss_seg: 0.0513 (0.0577) loss_lansim: 0.0775 (0.0843) loss_contra: 0.0001 (0.0035) time: 2.5952 data: 0.0027 max mem: 31671 Epoch: [23] [5250/5278] eta: 0:01:12 lr: 2.192547168932116e-05 loss: 0.0444 (0.0537) loss_seg: 0.0481 (0.0577) loss_lansim: 0.0763 (0.0842) loss_contra: 0.0001 (0.0035) time: 2.5852 data: 0.0027 max mem: 31671 Epoch: [23] [5260/5278] eta: 0:00:46 lr: 2.192313572704559e-05 loss: 0.0450 (0.0538) loss_seg: 0.0481 (0.0577) loss_lansim: 0.0775 (0.0842) loss_contra: 0.0001 (0.0036) time: 2.5703 data: 0.0026 max mem: 31671 Epoch: [23] [5270/5278] eta: 0:00:20 lr: 2.192079973711388e-05 loss: 0.0469 (0.0538) loss_seg: 0.0514 (0.0577) loss_lansim: 0.0789 (0.0842) loss_contra: 0.0001 (0.0036) time: 2.5696 data: 0.0026 max mem: 31671 Epoch: [23] Total time: 3:47:37 Test: [ 0/2573] eta: 1:44:23 time: 2.4342 data: 2.1927 max mem: 31671 Test: [ 100/2573] eta: 0:06:49 time: 0.1430 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:13 time: 0.1492 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:47 time: 0.1435 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:27 time: 0.1443 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:10 time: 0.1460 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:55 time: 0.1488 data: 0.0016 max mem: 31671 Test: [ 700/2573] eta: 0:04:40 time: 0.1524 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:25 time: 0.1472 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:10 time: 0.1482 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:54 time: 0.1473 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:39 time: 0.1474 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:24 time: 0.1484 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:09 time: 0.1486 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:54 time: 0.1439 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:39 time: 0.1480 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:24 time: 0.1486 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:09 time: 0.1464 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1434 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1424 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1426 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1461 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1419 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1488 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1446 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1478 data: 0.0016 max mem: 31671 Test: Total time: 0:06:19 Final results: precision@0.5 = 69.57 precision@0.6 = 64.91 precision@0.7 = 57.60 precision@0.8 = 46.26 precision@0.9 = 22.37 overall IoU = 58.59 mean IoU = 61.39 Average object IoU 0.6139493385912073 Overall IoU 58.58836497657419 Better epoch: 23 The best_performance is 58.58836497657419 Epoch: [24] [ 0/5278] eta: 6:20:33 lr: 2.191893092525367e-05 loss: 0.0440 (0.0440) loss_seg: 0.0485 (0.0485) loss_lansim: 0.0826 (0.0826) loss_contra: 0.0000 (0.0000) time: 4.3262 data: 1.4000 max mem: 31671 Epoch: [24] [ 10/5278] eta: 4:11:35 lr: 2.1916594885531818e-05 loss: 0.0387 (0.0466) loss_seg: 0.0426 (0.0496) loss_lansim: 0.0753 (0.0750) loss_contra: 0.0000 (0.0037) time: 2.8655 data: 0.1294 max mem: 31671 Epoch: [24] [ 20/5278] eta: 3:56:44 lr: 2.1914258818143736e-05 loss: 0.0413 (0.0546) loss_seg: 0.0453 (0.0582) loss_lansim: 0.0760 (0.0779) loss_contra: 0.0000 (0.0021) time: 2.7015 data: 0.0687 max mem: 31671 Epoch: [24] [ 30/5278] eta: 3:51:22 lr: 2.191192272308582e-05 loss: 0.0387 (0.0515) loss_seg: 0.0423 (0.0551) loss_lansim: 0.0767 (0.0787) loss_contra: 0.0000 (0.0015) time: 2.6453 data: 0.0474 max mem: 31671 Epoch: [24] [ 40/5278] eta: 3:48:57 lr: 2.1909586600354462e-05 loss: 0.0410 (0.0524) loss_seg: 0.0426 (0.0560) loss_lansim: 0.0773 (0.0777) loss_contra: 0.0000 (0.0021) time: 2.6226 data: 0.0364 max mem: 31671 Epoch: [24] [ 50/5278] eta: 3:48:30 lr: 2.1907250449946063e-05 loss: 0.0413 (0.0543) loss_seg: 0.0444 (0.0575) loss_lansim: 0.0753 (0.0775) loss_contra: 0.0000 (0.0991) time: 2.6225 data: 0.0298 max mem: 31671 Epoch: [24] [ 60/5278] eta: 3:47:48 lr: 2.1904914271857e-05 loss: 0.0410 (0.0527) loss_seg: 0.0444 (0.0560) loss_lansim: 0.0766 (0.0786) loss_contra: 0.0000 (0.0840) time: 2.6195 data: 0.0253 max mem: 31671 Epoch: [24] [ 70/5278] eta: 3:46:55 lr: 2.1902578066083677e-05 loss: 0.0432 (0.0522) loss_seg: 0.0453 (0.0554) loss_lansim: 0.0763 (0.0783) loss_contra: 0.0000 (0.0736) time: 2.6144 data: 0.0221 max mem: 31671 Epoch: [24] [ 80/5278] eta: 3:46:16 lr: 2.1900241832622477e-05 loss: 0.0432 (0.0516) loss_seg: 0.0454 (0.0549) loss_lansim: 0.0764 (0.0785) loss_contra: 0.0001 (0.0648) time: 2.6119 data: 0.0197 max mem: 31671 Epoch: [24] [ 90/5278] eta: 3:44:47 lr: 2.1897905571469805e-05 loss: 0.0433 (0.0516) loss_seg: 0.0455 (0.0548) loss_lansim: 0.0763 (0.0785) loss_contra: 0.0001 (0.0577) time: 2.5997 data: 0.0178 max mem: 31671 Epoch: [24] [ 100/5278] eta: 3:44:34 lr: 2.189556928262203e-05 loss: 0.0426 (0.0502) loss_seg: 0.0445 (0.0534) loss_lansim: 0.0756 (0.0781) loss_contra: 0.0001 (0.0532) time: 2.5850 data: 0.0025 max mem: 31671 Epoch: [24] [ 110/5278] eta: 3:44:10 lr: 2.1893232966075554e-05 loss: 0.0432 (0.0506) loss_seg: 0.0455 (0.0538) loss_lansim: 0.0763 (0.0778) loss_contra: 0.0001 (0.0490) time: 2.5737 data: 0.0025 max mem: 31671 Epoch: [24] [ 120/5278] eta: 3:43:30 lr: 2.1890896621826758e-05 loss: 0.0405 (0.0493) loss_seg: 0.0428 (0.0524) loss_lansim: 0.0753 (0.0773) loss_contra: 0.0001 (0.0449) time: 2.5785 data: 0.0026 max mem: 31671 Epoch: [24] [ 130/5278] eta: 3:43:24 lr: 2.1888560249872032e-05 loss: 0.0426 (0.0494) loss_seg: 0.0448 (0.0525) loss_lansim: 0.0753 (0.0777) loss_contra: 0.0001 (0.0419) time: 2.5911 data: 0.0026 max mem: 31671 Epoch: [24] [ 140/5278] eta: 3:42:52 lr: 2.1886223850207756e-05 loss: 0.0420 (0.0488) loss_seg: 0.0445 (0.0519) loss_lansim: 0.0751 (0.0775) loss_contra: 0.0001 (0.0390) time: 2.5945 data: 0.0026 max mem: 31671 Epoch: [24] [ 150/5278] eta: 3:42:18 lr: 2.188388742283032e-05 loss: 0.0396 (0.0482) loss_seg: 0.0433 (0.0513) loss_lansim: 0.0755 (0.0775) loss_contra: 0.0001 (0.0364) time: 2.5902 data: 0.0025 max mem: 31671 Epoch: [24] [ 160/5278] eta: 3:41:49 lr: 2.1881550967736105e-05 loss: 0.0396 (0.0476) loss_seg: 0.0425 (0.0507) loss_lansim: 0.0752 (0.0775) loss_contra: 0.0001 (0.0342) time: 2.5890 data: 0.0025 max mem: 31671 Epoch: [24] [ 170/5278] eta: 3:41:39 lr: 2.18792144849215e-05 loss: 0.0396 (0.0486) loss_seg: 0.0425 (0.0518) loss_lansim: 0.0735 (0.0770) loss_contra: 0.0001 (0.0322) time: 2.5961 data: 0.0025 max mem: 31671 Epoch: [24] [ 180/5278] eta: 3:40:49 lr: 2.1876877974382878e-05 loss: 0.0396 (0.0486) loss_seg: 0.0425 (0.0518) loss_lansim: 0.0735 (0.0769) loss_contra: 0.0001 (0.0304) time: 2.5885 data: 0.0025 max mem: 31671 Epoch: [24] [ 190/5278] eta: 3:39:40 lr: 2.187454143611662e-05 loss: 0.0396 (0.0495) loss_seg: 0.0425 (0.0527) loss_lansim: 0.0735 (0.0768) loss_contra: 0.0001 (0.0289) time: 2.5822 data: 0.0025 max mem: 31671 Epoch: [24] [ 200/5278] eta: 3:39:35 lr: 2.1872204870119116e-05 loss: 0.0396 (0.0495) loss_seg: 0.0427 (0.0527) loss_lansim: 0.0735 (0.0766) loss_contra: 0.0001 (0.0275) time: 2.5870 data: 0.0025 max mem: 31671 Epoch: [24] [ 210/5278] eta: 3:39:14 lr: 2.1869868276386737e-05 loss: 0.0394 (0.0496) loss_seg: 0.0425 (0.0530) loss_lansim: 0.0736 (0.0769) loss_contra: 0.0000 (0.0262) time: 2.5877 data: 0.0025 max mem: 31671 Epoch: [24] [ 220/5278] eta: 3:38:43 lr: 2.186753165491586e-05 loss: 0.0430 (0.0494) loss_seg: 0.0435 (0.0527) loss_lansim: 0.0752 (0.0773) loss_contra: 0.0000 (0.0254) time: 2.5884 data: 0.0025 max mem: 31671 Epoch: [24] [ 230/5278] eta: 3:38:13 lr: 2.1865195005702864e-05 loss: 0.0411 (0.0490) loss_seg: 0.0435 (0.0523) loss_lansim: 0.0748 (0.0771) loss_contra: 0.0000 (0.0244) time: 2.5806 data: 0.0025 max mem: 31671 Epoch: [24] [ 240/5278] eta: 3:37:42 lr: 2.1862858328744128e-05 loss: 0.0429 (0.0490) loss_seg: 0.0437 (0.0522) loss_lansim: 0.0755 (0.0772) loss_contra: 0.0000 (0.0234) time: 2.5791 data: 0.0026 max mem: 31671 Epoch: [24] [ 250/5278] eta: 3:37:16 lr: 2.1860521624036036e-05 loss: 0.0430 (0.0488) loss_seg: 0.0438 (0.0519) loss_lansim: 0.0755 (0.0772) loss_contra: 0.0000 (0.0225) time: 2.5800 data: 0.0026 max mem: 31671 Epoch: [24] [ 260/5278] eta: 3:36:40 lr: 2.1858184891574944e-05 loss: 0.0430 (0.0487) loss_seg: 0.0438 (0.0519) loss_lansim: 0.0741 (0.0770) loss_contra: 0.0000 (0.0219) time: 2.5752 data: 0.0026 max mem: 31671 Epoch: [24] [ 270/5278] eta: 3:36:16 lr: 2.1855848131357232e-05 loss: 0.0429 (0.0486) loss_seg: 0.0435 (0.0518) loss_lansim: 0.0758 (0.0771) loss_contra: 0.0000 (0.0216) time: 2.5695 data: 0.0026 max mem: 31671 Epoch: [24] [ 280/5278] eta: 3:35:33 lr: 2.1853511343379276e-05 loss: 0.0429 (0.0487) loss_seg: 0.0437 (0.0519) loss_lansim: 0.0758 (0.0770) loss_contra: 0.0000 (0.0209) time: 2.5675 data: 0.0026 max mem: 31671 Epoch: [24] [ 290/5278] eta: 3:35:10 lr: 2.185117452763745e-05 loss: 0.0393 (0.0484) loss_seg: 0.0420 (0.0515) loss_lansim: 0.0760 (0.0771) loss_contra: 0.0000 (0.0202) time: 2.5843 data: 0.0026 max mem: 31671 Epoch: [24] [ 300/5278] eta: 3:34:45 lr: 2.1848837684128126e-05 loss: 0.0405 (0.0485) loss_seg: 0.0435 (0.0516) loss_lansim: 0.0770 (0.0771) loss_contra: 0.0001 (0.0195) time: 2.5763 data: 0.0026 max mem: 31671 Epoch: [24] [ 310/5278] eta: 3:34:27 lr: 2.1846500812847668e-05 loss: 0.0385 (0.0484) loss_seg: 0.0417 (0.0516) loss_lansim: 0.0770 (0.0771) loss_contra: 0.0001 (0.0190) time: 2.5782 data: 0.0027 max mem: 31671 Epoch: [24] [ 320/5278] eta: 3:33:57 lr: 2.1844163913792444e-05 loss: 0.0378 (0.0484) loss_seg: 0.0413 (0.0516) loss_lansim: 0.0760 (0.0771) loss_contra: 0.0001 (0.0185) time: 2.5773 data: 0.0027 max mem: 31671 Epoch: [24] [ 330/5278] eta: 3:33:35 lr: 2.184182698695883e-05 loss: 0.0382 (0.0486) loss_seg: 0.0417 (0.0518) loss_lansim: 0.0770 (0.0771) loss_contra: 0.0001 (0.0182) time: 2.5810 data: 0.0027 max mem: 31671 Epoch: [24] [ 340/5278] eta: 3:33:04 lr: 2.183949003234319e-05 loss: 0.0378 (0.0486) loss_seg: 0.0413 (0.0518) loss_lansim: 0.0769 (0.0771) loss_contra: 0.0001 (0.0177) time: 2.5800 data: 0.0026 max mem: 31671 Epoch: [24] [ 350/5278] eta: 3:32:30 lr: 2.183715304994189e-05 loss: 0.0379 (0.0484) loss_seg: 0.0413 (0.0517) loss_lansim: 0.0770 (0.0772) loss_contra: 0.0001 (0.0172) time: 2.5740 data: 0.0026 max mem: 31671 Epoch: [24] [ 360/5278] eta: 3:32:08 lr: 2.183481603975129e-05 loss: 0.0382 (0.0484) loss_seg: 0.0417 (0.0516) loss_lansim: 0.0775 (0.0773) loss_contra: 0.0001 (0.0168) time: 2.5813 data: 0.0026 max mem: 31671 Epoch: [24] [ 370/5278] eta: 3:31:40 lr: 2.1832479001767765e-05 loss: 0.0407 (0.0493) loss_seg: 0.0448 (0.0526) loss_lansim: 0.0777 (0.0774) loss_contra: 0.0001 (0.0164) time: 2.5786 data: 0.0026 max mem: 31671 Epoch: [24] [ 380/5278] eta: 3:31:19 lr: 2.1830141935987675e-05 loss: 0.0417 (0.0494) loss_seg: 0.0456 (0.0528) loss_lansim: 0.0781 (0.0776) loss_contra: 0.0001 (0.0160) time: 2.5917 data: 0.0026 max mem: 31671 Epoch: [24] [ 390/5278] eta: 3:30:53 lr: 2.182780484240738e-05 loss: 0.0420 (0.0492) loss_seg: 0.0459 (0.0526) loss_lansim: 0.0777 (0.0774) loss_contra: 0.0001 (0.0156) time: 2.5892 data: 0.0026 max mem: 31671 Epoch: [24] [ 400/5278] eta: 3:30:33 lr: 2.182546772102324e-05 loss: 0.0416 (0.0490) loss_seg: 0.0449 (0.0524) loss_lansim: 0.0777 (0.0774) loss_contra: 0.0001 (0.0153) time: 2.5943 data: 0.0026 max mem: 31671 Epoch: [24] [ 410/5278] eta: 3:30:14 lr: 2.182313057183162e-05 loss: 0.0417 (0.0488) loss_seg: 0.0449 (0.0522) loss_lansim: 0.0776 (0.0773) loss_contra: 0.0001 (0.0150) time: 2.5958 data: 0.0026 max mem: 31671 Epoch: [24] [ 420/5278] eta: 3:29:43 lr: 2.182079339482889e-05 loss: 0.0420 (0.0489) loss_seg: 0.0449 (0.0522) loss_lansim: 0.0775 (0.0773) loss_contra: 0.0001 (0.0146) time: 2.5932 data: 0.0026 max mem: 31671 Epoch: [24] [ 430/5278] eta: 3:29:14 lr: 2.181845619001139e-05 loss: 0.0419 (0.0486) loss_seg: 0.0448 (0.0520) loss_lansim: 0.0776 (0.0773) loss_contra: 0.0000 (0.0143) time: 2.5883 data: 0.0026 max mem: 31671 Epoch: [24] [ 440/5278] eta: 3:28:59 lr: 2.1816118957375487e-05 loss: 0.0419 (0.0487) loss_seg: 0.0444 (0.0521) loss_lansim: 0.0776 (0.0773) loss_contra: 0.0000 (0.0140) time: 2.6011 data: 0.0026 max mem: 31671 Epoch: [24] [ 450/5278] eta: 3:28:32 lr: 2.181378169691754e-05 loss: 0.0437 (0.0487) loss_seg: 0.0456 (0.0521) loss_lansim: 0.0763 (0.0773) loss_contra: 0.0000 (0.0137) time: 2.6064 data: 0.0026 max mem: 31671 Epoch: [24] [ 460/5278] eta: 3:27:56 lr: 2.181144440863391e-05 loss: 0.0420 (0.0486) loss_seg: 0.0443 (0.0520) loss_lansim: 0.0761 (0.0773) loss_contra: 0.0000 (0.0134) time: 2.5947 data: 0.0026 max mem: 31671 Epoch: [24] [ 470/5278] eta: 3:27:33 lr: 2.1809107092520938e-05 loss: 0.0398 (0.0485) loss_seg: 0.0430 (0.0519) loss_lansim: 0.0733 (0.0771) loss_contra: 0.0000 (0.0131) time: 2.5991 data: 0.0026 max mem: 31671 Epoch: [24] [ 480/5278] eta: 3:27:07 lr: 2.1806769748574994e-05 loss: 0.0397 (0.0485) loss_seg: 0.0423 (0.0519) loss_lansim: 0.0725 (0.0772) loss_contra: 0.0000 (0.0129) time: 2.5949 data: 0.0026 max mem: 31671 Epoch: [24] [ 490/5278] eta: 3:26:38 lr: 2.180443237679242e-05 loss: 0.0393 (0.0483) loss_seg: 0.0423 (0.0517) loss_lansim: 0.0737 (0.0771) loss_contra: 0.0000 (0.0126) time: 2.5931 data: 0.0026 max mem: 31671 Epoch: [24] [ 500/5278] eta: 3:26:10 lr: 2.180209497716958e-05 loss: 0.0393 (0.0482) loss_seg: 0.0430 (0.0515) loss_lansim: 0.0747 (0.0772) loss_contra: 0.0000 (0.0124) time: 2.5858 data: 0.0026 max mem: 31671 Epoch: [24] [ 510/5278] eta: 3:25:42 lr: 2.1799757549702817e-05 loss: 0.0402 (0.0482) loss_seg: 0.0438 (0.0516) loss_lansim: 0.0747 (0.0772) loss_contra: 0.0001 (0.0123) time: 2.5772 data: 0.0026 max mem: 31671 Epoch: [24] [ 520/5278] eta: 3:25:13 lr: 2.1797420094388483e-05 loss: 0.0392 (0.0481) loss_seg: 0.0430 (0.0515) loss_lansim: 0.0728 (0.0771) loss_contra: 0.0001 (0.0121) time: 2.5780 data: 0.0026 max mem: 31671 Epoch: [24] [ 530/5278] eta: 3:24:47 lr: 2.179508261122293e-05 loss: 0.0402 (0.0480) loss_seg: 0.0431 (0.0514) loss_lansim: 0.0728 (0.0771) loss_contra: 0.0001 (0.0119) time: 2.5803 data: 0.0026 max mem: 31671 Epoch: [24] [ 540/5278] eta: 3:24:20 lr: 2.1792745100202512e-05 loss: 0.0404 (0.0481) loss_seg: 0.0430 (0.0514) loss_lansim: 0.0752 (0.0772) loss_contra: 0.0001 (0.0117) time: 2.5691 data: 0.0026 max mem: 31671 Epoch: [24] [ 550/5278] eta: 3:23:50 lr: 2.1790407561323574e-05 loss: 0.0393 (0.0479) loss_seg: 0.0426 (0.0513) loss_lansim: 0.0754 (0.0772) loss_contra: 0.0001 (0.0116) time: 2.5652 data: 0.0026 max mem: 31671 Epoch: [24] [ 560/5278] eta: 3:23:24 lr: 2.1788069994582455e-05 loss: 0.0419 (0.0480) loss_seg: 0.0453 (0.0514) loss_lansim: 0.0761 (0.0772) loss_contra: 0.0001 (0.0115) time: 2.5734 data: 0.0026 max mem: 31671 Epoch: [24] [ 570/5278] eta: 3:23:05 lr: 2.1785732399975512e-05 loss: 0.0419 (0.0479) loss_seg: 0.0448 (0.0513) loss_lansim: 0.0761 (0.0771) loss_contra: 0.0001 (0.0113) time: 2.5789 data: 0.0026 max mem: 31671 Epoch: [24] [ 580/5278] eta: 3:22:44 lr: 2.1783394777499083e-05 loss: 0.0427 (0.0480) loss_seg: 0.0449 (0.0514) loss_lansim: 0.0754 (0.0771) loss_contra: 0.0001 (0.0111) time: 2.5851 data: 0.0026 max mem: 31671 Epoch: [24] [ 590/5278] eta: 3:22:24 lr: 2.1781057127149525e-05 loss: 0.0427 (0.0481) loss_seg: 0.0449 (0.0516) loss_lansim: 0.0763 (0.0772) loss_contra: 0.0000 (0.0109) time: 2.5953 data: 0.0026 max mem: 31671 Epoch: [24] [ 600/5278] eta: 3:22:02 lr: 2.1778719448923167e-05 loss: 0.0455 (0.0486) loss_seg: 0.0462 (0.0521) loss_lansim: 0.0761 (0.0772) loss_contra: 0.0000 (0.0107) time: 2.6024 data: 0.0026 max mem: 31671 Epoch: [24] [ 610/5278] eta: 3:21:35 lr: 2.1776381742816356e-05 loss: 0.0455 (0.0488) loss_seg: 0.0494 (0.0524) loss_lansim: 0.0761 (0.0773) loss_contra: 0.0000 (0.0106) time: 2.6042 data: 0.0026 max mem: 31671 Epoch: [24] [ 620/5278] eta: 3:21:11 lr: 2.177404400882544e-05 loss: 0.0460 (0.0489) loss_seg: 0.0504 (0.0525) loss_lansim: 0.0761 (0.0771) loss_contra: 0.0000 (0.0105) time: 2.6102 data: 0.0026 max mem: 31671 Epoch: [24] [ 630/5278] eta: 3:20:51 lr: 2.1771706246946757e-05 loss: 0.0472 (0.0490) loss_seg: 0.0520 (0.0527) loss_lansim: 0.0761 (0.0771) loss_contra: 0.0000 (0.0103) time: 2.6187 data: 0.0026 max mem: 31671 Epoch: [24] [ 640/5278] eta: 3:20:24 lr: 2.1769368457176646e-05 loss: 0.0490 (0.0492) loss_seg: 0.0538 (0.0528) loss_lansim: 0.0761 (0.0771) loss_contra: 0.0000 (0.0102) time: 2.6192 data: 0.0026 max mem: 31671 Epoch: [24] [ 650/5278] eta: 3:19:57 lr: 2.176703063951144e-05 loss: 0.0495 (0.0492) loss_seg: 0.0542 (0.0529) loss_lansim: 0.0755 (0.0771) loss_contra: 0.0000 (0.0100) time: 2.6227 data: 0.0026 max mem: 31671 Epoch: [24] [ 660/5278] eta: 3:19:34 lr: 2.1764692793947485e-05 loss: 0.0491 (0.0491) loss_seg: 0.0538 (0.0528) loss_lansim: 0.0748 (0.0771) loss_contra: 0.0000 (0.0100) time: 2.6279 data: 0.0026 max mem: 31671 Epoch: [24] [ 670/5278] eta: 3:19:06 lr: 2.1762354920481123e-05 loss: 0.0491 (0.0490) loss_seg: 0.0538 (0.0527) loss_lansim: 0.0755 (0.0770) loss_contra: 0.0000 (0.0098) time: 2.6181 data: 0.0026 max mem: 31671 Epoch: [24] [ 680/5278] eta: 3:18:38 lr: 2.1760017019108682e-05 loss: 0.0487 (0.0490) loss_seg: 0.0532 (0.0527) loss_lansim: 0.0753 (0.0770) loss_contra: 0.0000 (0.0097) time: 2.6089 data: 0.0026 max mem: 31671 Epoch: [24] [ 690/5278] eta: 3:18:18 lr: 2.1757679089826495e-05 loss: 0.0505 (0.0493) loss_seg: 0.0546 (0.0530) loss_lansim: 0.0748 (0.0769) loss_contra: 0.0001 (0.0095) time: 2.6108 data: 0.0026 max mem: 31671 Epoch: [24] [ 700/5278] eta: 3:17:51 lr: 2.17553411326309e-05 loss: 0.0505 (0.0494) loss_seg: 0.0542 (0.0531) loss_lansim: 0.0748 (0.0769) loss_contra: 0.0001 (0.0094) time: 2.6036 data: 0.0026 max mem: 31671 Epoch: [24] [ 710/5278] eta: 3:17:29 lr: 2.1753003147518236e-05 loss: 0.0481 (0.0496) loss_seg: 0.0519 (0.0533) loss_lansim: 0.0739 (0.0769) loss_contra: 0.0001 (0.0093) time: 2.6110 data: 0.0026 max mem: 31671 Epoch: [24] [ 720/5278] eta: 3:17:02 lr: 2.175066513448483e-05 loss: 0.0476 (0.0500) loss_seg: 0.0513 (0.0538) loss_lansim: 0.0739 (0.0768) loss_contra: 0.0001 (0.0092) time: 2.6082 data: 0.0026 max mem: 31671 Epoch: [24] [ 730/5278] eta: 3:16:37 lr: 2.1748327093527013e-05 loss: 0.0462 (0.0499) loss_seg: 0.0493 (0.0536) loss_lansim: 0.0737 (0.0768) loss_contra: 0.0001 (0.0091) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [24] [ 740/5278] eta: 3:16:13 lr: 2.1745989024641118e-05 loss: 0.0447 (0.0498) loss_seg: 0.0463 (0.0535) loss_lansim: 0.0731 (0.0768) loss_contra: 0.0000 (0.0095) time: 2.6070 data: 0.0026 max mem: 31671 Epoch: [24] [ 750/5278] eta: 3:15:45 lr: 2.1743650927823478e-05 loss: 0.0447 (0.0498) loss_seg: 0.0479 (0.0536) loss_lansim: 0.0731 (0.0769) loss_contra: 0.0000 (0.0095) time: 2.6050 data: 0.0026 max mem: 31671 Epoch: [24] [ 760/5278] eta: 3:15:17 lr: 2.1741312803070417e-05 loss: 0.0462 (0.0499) loss_seg: 0.0494 (0.0537) loss_lansim: 0.0739 (0.0769) loss_contra: 0.0000 (0.0094) time: 2.5979 data: 0.0026 max mem: 31671 Epoch: [24] [ 770/5278] eta: 3:14:53 lr: 2.1738974650378262e-05 loss: 0.0462 (0.0498) loss_seg: 0.0494 (0.0536) loss_lansim: 0.0753 (0.0770) loss_contra: 0.0001 (0.0093) time: 2.6033 data: 0.0025 max mem: 31671 Epoch: [24] [ 780/5278] eta: 3:14:32 lr: 2.173663646974334e-05 loss: 0.0445 (0.0497) loss_seg: 0.0463 (0.0534) loss_lansim: 0.0742 (0.0769) loss_contra: 0.0000 (0.0092) time: 2.6157 data: 0.0026 max mem: 31671 Epoch: [24] [ 790/5278] eta: 3:14:12 lr: 2.1734298261161983e-05 loss: 0.0428 (0.0499) loss_seg: 0.0454 (0.0537) loss_lansim: 0.0742 (0.0769) loss_contra: 0.0001 (0.0091) time: 2.6165 data: 0.0026 max mem: 31671 Epoch: [24] [ 800/5278] eta: 3:13:45 lr: 2.173196002463052e-05 loss: 0.0445 (0.0499) loss_seg: 0.0454 (0.0537) loss_lansim: 0.0744 (0.0769) loss_contra: 0.0001 (0.0090) time: 2.6171 data: 0.0026 max mem: 31671 Epoch: [24] [ 810/5278] eta: 3:13:20 lr: 2.1729621760145263e-05 loss: 0.0428 (0.0499) loss_seg: 0.0454 (0.0537) loss_lansim: 0.0750 (0.0769) loss_contra: 0.0001 (0.0088) time: 2.6135 data: 0.0026 max mem: 31671 Epoch: [24] [ 820/5278] eta: 3:12:52 lr: 2.1727283467702545e-05 loss: 0.0403 (0.0498) loss_seg: 0.0430 (0.0535) loss_lansim: 0.0756 (0.0769) loss_contra: 0.0001 (0.0087) time: 2.6110 data: 0.0026 max mem: 31671 Epoch: [24] [ 830/5278] eta: 3:12:25 lr: 2.172494514729868e-05 loss: 0.0445 (0.0500) loss_seg: 0.0486 (0.0539) loss_lansim: 0.0763 (0.0770) loss_contra: 0.0001 (0.0086) time: 2.6070 data: 0.0026 max mem: 31671 Epoch: [24] [ 840/5278] eta: 3:12:02 lr: 2.172260679893e-05 loss: 0.0462 (0.0502) loss_seg: 0.0504 (0.0540) loss_lansim: 0.0772 (0.0771) loss_contra: 0.0001 (0.0085) time: 2.6100 data: 0.0027 max mem: 31671 Epoch: [24] [ 850/5278] eta: 3:11:35 lr: 2.1720268422592817e-05 loss: 0.0462 (0.0504) loss_seg: 0.0504 (0.0543) loss_lansim: 0.0763 (0.0770) loss_contra: 0.0001 (0.0084) time: 2.6124 data: 0.0026 max mem: 31671 Epoch: [24] [ 860/5278] eta: 3:11:08 lr: 2.1717930018283453e-05 loss: 0.0452 (0.0503) loss_seg: 0.0478 (0.0542) loss_lansim: 0.0756 (0.0770) loss_contra: 0.0001 (0.0087) time: 2.6135 data: 0.0026 max mem: 31671 Epoch: [24] [ 870/5278] eta: 3:10:41 lr: 2.1715591585998228e-05 loss: 0.0459 (0.0503) loss_seg: 0.0486 (0.0542) loss_lansim: 0.0753 (0.0769) loss_contra: 0.0001 (0.0086) time: 2.6086 data: 0.0026 max mem: 31671 Epoch: [24] [ 880/5278] eta: 3:10:13 lr: 2.1713253125733465e-05 loss: 0.0486 (0.0503) loss_seg: 0.0506 (0.0541) loss_lansim: 0.0765 (0.0769) loss_contra: 0.0001 (0.0085) time: 2.5960 data: 0.0026 max mem: 31671 Epoch: [24] [ 890/5278] eta: 3:09:48 lr: 2.171091463748547e-05 loss: 0.0452 (0.0502) loss_seg: 0.0486 (0.0540) loss_lansim: 0.0763 (0.0769) loss_contra: 0.0001 (0.0084) time: 2.5884 data: 0.0026 max mem: 31671 Epoch: [24] [ 900/5278] eta: 3:09:19 lr: 2.170857612125057e-05 loss: 0.0441 (0.0503) loss_seg: 0.0478 (0.0542) loss_lansim: 0.0756 (0.0769) loss_contra: 0.0001 (0.0083) time: 2.5831 data: 0.0026 max mem: 31671 Epoch: [24] [ 910/5278] eta: 3:08:53 lr: 2.1706237577025068e-05 loss: 0.0440 (0.0503) loss_seg: 0.0475 (0.0542) loss_lansim: 0.0752 (0.0768) loss_contra: 0.0001 (0.0085) time: 2.5800 data: 0.0026 max mem: 31671 Epoch: [24] [ 920/5278] eta: 3:08:29 lr: 2.170389900480529e-05 loss: 0.0452 (0.0503) loss_seg: 0.0478 (0.0542) loss_lansim: 0.0747 (0.0768) loss_contra: 0.0001 (0.0084) time: 2.5897 data: 0.0025 max mem: 31671 Epoch: [24] [ 930/5278] eta: 3:08:04 lr: 2.1701560404587547e-05 loss: 0.0432 (0.0504) loss_seg: 0.0470 (0.0543) loss_lansim: 0.0743 (0.0768) loss_contra: 0.0001 (0.0084) time: 2.5926 data: 0.0025 max mem: 31671 Epoch: [24] [ 940/5278] eta: 3:07:38 lr: 2.169922177636814e-05 loss: 0.0432 (0.0504) loss_seg: 0.0470 (0.0543) loss_lansim: 0.0741 (0.0769) loss_contra: 0.0001 (0.0083) time: 2.5878 data: 0.0025 max mem: 31671 Epoch: [24] [ 950/5278] eta: 3:07:16 lr: 2.1696883120143396e-05 loss: 0.0417 (0.0504) loss_seg: 0.0452 (0.0543) loss_lansim: 0.0741 (0.0769) loss_contra: 0.0001 (0.0082) time: 2.5967 data: 0.0025 max mem: 31671 Epoch: [24] [ 960/5278] eta: 3:06:50 lr: 2.1694544435909624e-05 loss: 0.0419 (0.0504) loss_seg: 0.0452 (0.0543) loss_lansim: 0.0733 (0.0769) loss_contra: 0.0001 (0.0081) time: 2.5986 data: 0.0025 max mem: 31671 Epoch: [24] [ 970/5278] eta: 3:06:22 lr: 2.169220572366312e-05 loss: 0.0419 (0.0505) loss_seg: 0.0452 (0.0544) loss_lansim: 0.0735 (0.0769) loss_contra: 0.0001 (0.0081) time: 2.5966 data: 0.0026 max mem: 31671 Epoch: [24] [ 980/5278] eta: 3:05:53 lr: 2.1689866983400204e-05 loss: 0.0417 (0.0505) loss_seg: 0.0452 (0.0544) loss_lansim: 0.0736 (0.0769) loss_contra: 0.0001 (0.0080) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [24] [ 990/5278] eta: 3:05:26 lr: 2.168752821511718e-05 loss: 0.0422 (0.0505) loss_seg: 0.0462 (0.0544) loss_lansim: 0.0737 (0.0769) loss_contra: 0.0001 (0.0079) time: 2.5885 data: 0.0026 max mem: 31671 Epoch: [24] [1000/5278] eta: 3:04:58 lr: 2.168518941881036e-05 loss: 0.0412 (0.0505) loss_seg: 0.0451 (0.0544) loss_lansim: 0.0737 (0.0768) loss_contra: 0.0001 (0.0079) time: 2.5924 data: 0.0026 max mem: 31671 Epoch: [24] [1010/5278] eta: 3:04:32 lr: 2.168285059447604e-05 loss: 0.0412 (0.0504) loss_seg: 0.0435 (0.0543) loss_lansim: 0.0743 (0.0768) loss_contra: 0.0001 (0.0078) time: 2.5909 data: 0.0026 max mem: 31671 Epoch: [24] [1020/5278] eta: 3:04:05 lr: 2.168051174211053e-05 loss: 0.0408 (0.0503) loss_seg: 0.0430 (0.0541) loss_lansim: 0.0753 (0.0768) loss_contra: 0.0001 (0.0077) time: 2.5839 data: 0.0026 max mem: 31671 Epoch: [24] [1030/5278] eta: 3:03:38 lr: 2.1678172861710136e-05 loss: 0.0412 (0.0503) loss_seg: 0.0435 (0.0541) loss_lansim: 0.0755 (0.0768) loss_contra: 0.0001 (0.0077) time: 2.5797 data: 0.0026 max mem: 31671 Epoch: [24] [1040/5278] eta: 3:03:10 lr: 2.1675833953271157e-05 loss: 0.0408 (0.0502) loss_seg: 0.0430 (0.0541) loss_lansim: 0.0755 (0.0769) loss_contra: 0.0001 (0.0077) time: 2.5746 data: 0.0026 max mem: 31671 Epoch: [24] [1050/5278] eta: 3:02:42 lr: 2.167349501678991e-05 loss: 0.0422 (0.0503) loss_seg: 0.0451 (0.0541) loss_lansim: 0.0757 (0.0769) loss_contra: 0.0001 (0.0076) time: 2.5616 data: 0.0026 max mem: 31671 Epoch: [24] [1060/5278] eta: 3:02:16 lr: 2.167115605226267e-05 loss: 0.0418 (0.0503) loss_seg: 0.0451 (0.0541) loss_lansim: 0.0759 (0.0769) loss_contra: 0.0001 (0.0075) time: 2.5600 data: 0.0026 max mem: 31671 Epoch: [24] [1070/5278] eta: 3:01:53 lr: 2.1668817059685755e-05 loss: 0.0418 (0.0503) loss_seg: 0.0440 (0.0541) loss_lansim: 0.0757 (0.0769) loss_contra: 0.0001 (0.0075) time: 2.5716 data: 0.0025 max mem: 31671 Epoch: [24] [1080/5278] eta: 3:01:29 lr: 2.1666478039055463e-05 loss: 0.0418 (0.0502) loss_seg: 0.0440 (0.0540) loss_lansim: 0.0753 (0.0768) loss_contra: 0.0001 (0.0075) time: 2.5841 data: 0.0025 max mem: 31671 Epoch: [24] [1090/5278] eta: 3:01:03 lr: 2.1664138990368095e-05 loss: 0.0408 (0.0503) loss_seg: 0.0433 (0.0542) loss_lansim: 0.0770 (0.0769) loss_contra: 0.0001 (0.0074) time: 2.5854 data: 0.0025 max mem: 31671 Epoch: [24] [1100/5278] eta: 3:00:39 lr: 2.1661799913619936e-05 loss: 0.0418 (0.0503) loss_seg: 0.0433 (0.0541) loss_lansim: 0.0762 (0.0769) loss_contra: 0.0001 (0.0074) time: 2.5940 data: 0.0025 max mem: 31671 Epoch: [24] [1110/5278] eta: 3:00:11 lr: 2.1659460808807288e-05 loss: 0.0419 (0.0504) loss_seg: 0.0439 (0.0542) loss_lansim: 0.0770 (0.0770) loss_contra: 0.0001 (0.0073) time: 2.5913 data: 0.0026 max mem: 31671 Epoch: [24] [1120/5278] eta: 2:59:45 lr: 2.1657121675926455e-05 loss: 0.0438 (0.0504) loss_seg: 0.0458 (0.0542) loss_lansim: 0.0763 (0.0769) loss_contra: 0.0000 (0.0072) time: 2.5919 data: 0.0026 max mem: 31671 Epoch: [24] [1130/5278] eta: 2:59:20 lr: 2.1654782514973727e-05 loss: 0.0435 (0.0504) loss_seg: 0.0446 (0.0542) loss_lansim: 0.0763 (0.0770) loss_contra: 0.0001 (0.0072) time: 2.5965 data: 0.0026 max mem: 31671 Epoch: [24] [1140/5278] eta: 2:58:55 lr: 2.165244332594539e-05 loss: 0.0422 (0.0503) loss_seg: 0.0442 (0.0541) loss_lansim: 0.0765 (0.0770) loss_contra: 0.0000 (0.0071) time: 2.6031 data: 0.0026 max mem: 31671 Epoch: [24] [1150/5278] eta: 2:58:25 lr: 2.1650104108837746e-05 loss: 0.0418 (0.0507) loss_seg: 0.0440 (0.0545) loss_lansim: 0.0772 (0.0771) loss_contra: 0.0001 (0.0071) time: 2.5988 data: 0.0026 max mem: 31671 Epoch: [24] [1160/5278] eta: 2:58:01 lr: 2.1647764863647083e-05 loss: 0.0416 (0.0506) loss_seg: 0.0435 (0.0545) loss_lansim: 0.0772 (0.0771) loss_contra: 0.0000 (0.0070) time: 2.6064 data: 0.0026 max mem: 31671 Epoch: [24] [1170/5278] eta: 2:57:36 lr: 2.16454255903697e-05 loss: 0.0422 (0.0507) loss_seg: 0.0446 (0.0545) loss_lansim: 0.0777 (0.0771) loss_contra: 0.0000 (0.0070) time: 2.5992 data: 0.0026 max mem: 31671 Epoch: [24] [1180/5278] eta: 2:57:08 lr: 2.164308628900187e-05 loss: 0.0429 (0.0507) loss_seg: 0.0452 (0.0546) loss_lansim: 0.0777 (0.0771) loss_contra: 0.0000 (0.0069) time: 2.5898 data: 0.0026 max mem: 31671 Epoch: [24] [1190/5278] eta: 2:56:41 lr: 2.1640746959539892e-05 loss: 0.0423 (0.0507) loss_seg: 0.0452 (0.0545) loss_lansim: 0.0763 (0.0771) loss_contra: 0.0000 (0.0069) time: 2.5876 data: 0.0026 max mem: 31671 Epoch: [24] [1200/5278] eta: 2:56:15 lr: 2.1638407601980056e-05 loss: 0.0429 (0.0507) loss_seg: 0.0466 (0.0546) loss_lansim: 0.0772 (0.0772) loss_contra: 0.0000 (0.0069) time: 2.5800 data: 0.0026 max mem: 31671 Epoch: [24] [1210/5278] eta: 2:55:51 lr: 2.1636068216318652e-05 loss: 0.0423 (0.0505) loss_seg: 0.0446 (0.0544) loss_lansim: 0.0765 (0.0771) loss_contra: 0.0001 (0.0068) time: 2.5923 data: 0.0026 max mem: 31671 Epoch: [24] [1220/5278] eta: 2:55:24 lr: 2.163372880255196e-05 loss: 0.0423 (0.0508) loss_seg: 0.0452 (0.0547) loss_lansim: 0.0772 (0.0772) loss_contra: 0.0001 (0.0068) time: 2.5902 data: 0.0026 max mem: 31671 Epoch: [24] [1230/5278] eta: 2:54:56 lr: 2.1631389360676262e-05 loss: 0.0426 (0.0508) loss_seg: 0.0467 (0.0547) loss_lansim: 0.0776 (0.0772) loss_contra: 0.0001 (0.0068) time: 2.5823 data: 0.0026 max mem: 31671 Epoch: [24] [1240/5278] eta: 2:54:31 lr: 2.162904989068785e-05 loss: 0.0429 (0.0508) loss_seg: 0.0468 (0.0547) loss_lansim: 0.0766 (0.0772) loss_contra: 0.0001 (0.0068) time: 2.5813 data: 0.0026 max mem: 31671 Epoch: [24] [1250/5278] eta: 2:54:08 lr: 2.162671039258301e-05 loss: 0.0429 (0.0509) loss_seg: 0.0471 (0.0548) loss_lansim: 0.0763 (0.0772) loss_contra: 0.0001 (0.0067) time: 2.6001 data: 0.0026 max mem: 31671 Epoch: [24] [1260/5278] eta: 2:53:42 lr: 2.1624370866358015e-05 loss: 0.0431 (0.0509) loss_seg: 0.0471 (0.0548) loss_lansim: 0.0759 (0.0772) loss_contra: 0.0001 (0.0067) time: 2.5935 data: 0.0026 max mem: 31671 Epoch: [24] [1270/5278] eta: 2:53:13 lr: 2.162203131200915e-05 loss: 0.0429 (0.0509) loss_seg: 0.0467 (0.0547) loss_lansim: 0.0759 (0.0772) loss_contra: 0.0001 (0.0067) time: 2.5837 data: 0.0026 max mem: 31671 Epoch: [24] [1280/5278] eta: 2:52:46 lr: 2.1619691729532697e-05 loss: 0.0429 (0.0508) loss_seg: 0.0466 (0.0547) loss_lansim: 0.0759 (0.0772) loss_contra: 0.0001 (0.0066) time: 2.5831 data: 0.0026 max mem: 31671 Epoch: [24] [1290/5278] eta: 2:52:20 lr: 2.1617352118924936e-05 loss: 0.0429 (0.0508) loss_seg: 0.0463 (0.0546) loss_lansim: 0.0776 (0.0772) loss_contra: 0.0001 (0.0066) time: 2.5872 data: 0.0025 max mem: 31671 Epoch: [24] [1300/5278] eta: 2:51:54 lr: 2.161501248018215e-05 loss: 0.0431 (0.0508) loss_seg: 0.0468 (0.0547) loss_lansim: 0.0778 (0.0772) loss_contra: 0.0001 (0.0065) time: 2.5893 data: 0.0025 max mem: 31671 Epoch: [24] [1310/5278] eta: 2:51:29 lr: 2.1612672813300606e-05 loss: 0.0435 (0.0508) loss_seg: 0.0469 (0.0546) loss_lansim: 0.0779 (0.0773) loss_contra: 0.0001 (0.0065) time: 2.5845 data: 0.0025 max mem: 31671 Epoch: [24] [1320/5278] eta: 2:51:00 lr: 2.1610333118276586e-05 loss: 0.0426 (0.0507) loss_seg: 0.0448 (0.0546) loss_lansim: 0.0779 (0.0773) loss_contra: 0.0001 (0.0067) time: 2.5760 data: 0.0026 max mem: 31671 Epoch: [24] [1330/5278] eta: 2:50:34 lr: 2.1607993395106366e-05 loss: 0.0420 (0.0507) loss_seg: 0.0426 (0.0545) loss_lansim: 0.0783 (0.0773) loss_contra: 0.0001 (0.0066) time: 2.5835 data: 0.0026 max mem: 31671 Epoch: [24] [1340/5278] eta: 2:50:09 lr: 2.1605653643786226e-05 loss: 0.0421 (0.0507) loss_seg: 0.0436 (0.0545) loss_lansim: 0.0778 (0.0773) loss_contra: 0.0001 (0.0066) time: 2.5833 data: 0.0026 max mem: 31671 Epoch: [24] [1350/5278] eta: 2:49:44 lr: 2.1603313864312436e-05 loss: 0.0420 (0.0506) loss_seg: 0.0428 (0.0545) loss_lansim: 0.0765 (0.0773) loss_contra: 0.0001 (0.0065) time: 2.5785 data: 0.0026 max mem: 31671 Epoch: [24] [1360/5278] eta: 2:49:19 lr: 2.1600974056681267e-05 loss: 0.0420 (0.0507) loss_seg: 0.0428 (0.0545) loss_lansim: 0.0779 (0.0773) loss_contra: 0.0001 (0.0065) time: 2.5825 data: 0.0026 max mem: 31671 Epoch: [24] [1370/5278] eta: 2:48:51 lr: 2.159863422088899e-05 loss: 0.0398 (0.0507) loss_seg: 0.0422 (0.0545) loss_lansim: 0.0783 (0.0774) loss_contra: 0.0001 (0.0065) time: 2.5842 data: 0.0026 max mem: 31671 Epoch: [24] [1380/5278] eta: 2:48:26 lr: 2.159629435693189e-05 loss: 0.0396 (0.0506) loss_seg: 0.0413 (0.0544) loss_lansim: 0.0792 (0.0774) loss_contra: 0.0001 (0.0064) time: 2.5911 data: 0.0026 max mem: 31671 Epoch: [24] [1390/5278] eta: 2:48:02 lr: 2.1593954464806217e-05 loss: 0.0392 (0.0505) loss_seg: 0.0412 (0.0543) loss_lansim: 0.0785 (0.0774) loss_contra: 0.0001 (0.0064) time: 2.5974 data: 0.0026 max mem: 31671 Epoch: [24] [1400/5278] eta: 2:47:35 lr: 2.1591614544508252e-05 loss: 0.0383 (0.0506) loss_seg: 0.0405 (0.0545) loss_lansim: 0.0773 (0.0774) loss_contra: 0.0000 (0.0063) time: 2.5936 data: 0.0026 max mem: 31671 Epoch: [24] [1410/5278] eta: 2:47:10 lr: 2.158927459603426e-05 loss: 0.0398 (0.0506) loss_seg: 0.0418 (0.0544) loss_lansim: 0.0783 (0.0774) loss_contra: 0.0000 (0.0063) time: 2.5950 data: 0.0026 max mem: 31671 Epoch: [24] [1420/5278] eta: 2:46:44 lr: 2.1586934619380518e-05 loss: 0.0421 (0.0506) loss_seg: 0.0435 (0.0544) loss_lansim: 0.0791 (0.0775) loss_contra: 0.0000 (0.0063) time: 2.6042 data: 0.0026 max mem: 31671 Epoch: [24] [1430/5278] eta: 2:46:16 lr: 2.1584594614543278e-05 loss: 0.0423 (0.0506) loss_seg: 0.0446 (0.0544) loss_lansim: 0.0790 (0.0775) loss_contra: 0.0000 (0.0062) time: 2.5952 data: 0.0026 max mem: 31671 Epoch: [24] [1440/5278] eta: 2:45:50 lr: 2.158225458151881e-05 loss: 0.0428 (0.0506) loss_seg: 0.0458 (0.0544) loss_lansim: 0.0796 (0.0775) loss_contra: 0.0000 (0.0063) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [24] [1450/5278] eta: 2:45:25 lr: 2.1579914520303383e-05 loss: 0.0433 (0.0507) loss_seg: 0.0458 (0.0545) loss_lansim: 0.0798 (0.0776) loss_contra: 0.0000 (0.0063) time: 2.5948 data: 0.0026 max mem: 31671 Epoch: [24] [1460/5278] eta: 2:45:00 lr: 2.157757443089326e-05 loss: 0.0433 (0.0506) loss_seg: 0.0458 (0.0544) loss_lansim: 0.0798 (0.0776) loss_contra: 0.0000 (0.0063) time: 2.5923 data: 0.0026 max mem: 31671 Epoch: [24] [1470/5278] eta: 2:44:34 lr: 2.15752343132847e-05 loss: 0.0433 (0.0506) loss_seg: 0.0462 (0.0544) loss_lansim: 0.0798 (0.0777) loss_contra: 0.0000 (0.0062) time: 2.5989 data: 0.0026 max mem: 31671 Epoch: [24] [1480/5278] eta: 2:44:10 lr: 2.1572894167473967e-05 loss: 0.0438 (0.0505) loss_seg: 0.0464 (0.0543) loss_lansim: 0.0792 (0.0777) loss_contra: 0.0000 (0.0062) time: 2.6067 data: 0.0026 max mem: 31671 Epoch: [24] [1490/5278] eta: 2:43:44 lr: 2.157055399345732e-05 loss: 0.0445 (0.0505) loss_seg: 0.0477 (0.0543) loss_lansim: 0.0796 (0.0777) loss_contra: 0.0000 (0.0062) time: 2.6002 data: 0.0026 max mem: 31671 Epoch: [24] [1500/5278] eta: 2:43:18 lr: 2.156821379123103e-05 loss: 0.0455 (0.0510) loss_seg: 0.0488 (0.0549) loss_lansim: 0.0804 (0.0777) loss_contra: 0.0000 (0.0061) time: 2.6013 data: 0.0027 max mem: 31671 Epoch: [24] [1510/5278] eta: 2:42:52 lr: 2.1565873560791338e-05 loss: 0.0457 (0.0510) loss_seg: 0.0489 (0.0549) loss_lansim: 0.0792 (0.0777) loss_contra: 0.0000 (0.0061) time: 2.5996 data: 0.0027 max mem: 31671 Epoch: [24] [1520/5278] eta: 2:42:25 lr: 2.1563533302134512e-05 loss: 0.0463 (0.0512) loss_seg: 0.0492 (0.0551) loss_lansim: 0.0797 (0.0778) loss_contra: 0.0000 (0.0061) time: 2.5964 data: 0.0027 max mem: 31671 Epoch: [24] [1530/5278] eta: 2:42:02 lr: 2.1561193015256805e-05 loss: 0.0469 (0.0513) loss_seg: 0.0500 (0.0551) loss_lansim: 0.0785 (0.0778) loss_contra: 0.0000 (0.0062) time: 2.6166 data: 0.0027 max mem: 31671 Epoch: [24] [1540/5278] eta: 2:41:36 lr: 2.155885270015448e-05 loss: 0.0455 (0.0513) loss_seg: 0.0492 (0.0551) loss_lansim: 0.0785 (0.0778) loss_contra: 0.0000 (0.0062) time: 2.6138 data: 0.0027 max mem: 31671 Epoch: [24] [1550/5278] eta: 2:41:13 lr: 2.1556512356823792e-05 loss: 0.0468 (0.0513) loss_seg: 0.0495 (0.0552) loss_lansim: 0.0785 (0.0778) loss_contra: 0.0000 (0.0062) time: 2.6218 data: 0.0026 max mem: 31671 Epoch: [24] [1560/5278] eta: 2:40:45 lr: 2.1554171985260984e-05 loss: 0.0481 (0.0514) loss_seg: 0.0513 (0.0552) loss_lansim: 0.0786 (0.0779) loss_contra: 0.0000 (0.0062) time: 2.6121 data: 0.0026 max mem: 31671 Epoch: [24] [1570/5278] eta: 2:40:19 lr: 2.1551831585462316e-05 loss: 0.0498 (0.0514) loss_seg: 0.0517 (0.0553) loss_lansim: 0.0786 (0.0779) loss_contra: 0.0000 (0.0062) time: 2.6138 data: 0.0026 max mem: 31671 Epoch: [24] [1580/5278] eta: 2:39:54 lr: 2.1549491157424044e-05 loss: 0.0497 (0.0513) loss_seg: 0.0517 (0.0552) loss_lansim: 0.0785 (0.0779) loss_contra: 0.0000 (0.0061) time: 2.6094 data: 0.0026 max mem: 31671 Epoch: [24] [1590/5278] eta: 2:39:27 lr: 2.1547150701142418e-05 loss: 0.0495 (0.0513) loss_seg: 0.0515 (0.0552) loss_lansim: 0.0781 (0.0779) loss_contra: 0.0000 (0.0061) time: 2.6043 data: 0.0027 max mem: 31671 Epoch: [24] [1600/5278] eta: 2:39:01 lr: 2.1544810216613685e-05 loss: 0.0468 (0.0513) loss_seg: 0.0506 (0.0551) loss_lansim: 0.0781 (0.0779) loss_contra: 0.0000 (0.0061) time: 2.6068 data: 0.0027 max mem: 31671 Epoch: [24] [1610/5278] eta: 2:38:36 lr: 2.1542469703834094e-05 loss: 0.0497 (0.0513) loss_seg: 0.0529 (0.0552) loss_lansim: 0.0801 (0.0780) loss_contra: 0.0000 (0.0061) time: 2.6063 data: 0.0027 max mem: 31671 Epoch: [24] [1620/5278] eta: 2:38:10 lr: 2.1540129162799895e-05 loss: 0.0483 (0.0513) loss_seg: 0.0521 (0.0552) loss_lansim: 0.0786 (0.0780) loss_contra: 0.0000 (0.0060) time: 2.6115 data: 0.0027 max mem: 31671 Epoch: [24] [1630/5278] eta: 2:37:44 lr: 2.1537788593507343e-05 loss: 0.0457 (0.0512) loss_seg: 0.0495 (0.0551) loss_lansim: 0.0795 (0.0780) loss_contra: 0.0000 (0.0060) time: 2.5995 data: 0.0026 max mem: 31671 Epoch: [24] [1640/5278] eta: 2:37:18 lr: 2.1535447995952672e-05 loss: 0.0474 (0.0513) loss_seg: 0.0510 (0.0552) loss_lansim: 0.0786 (0.0780) loss_contra: 0.0000 (0.0060) time: 2.6016 data: 0.0026 max mem: 31671 Epoch: [24] [1650/5278] eta: 2:36:53 lr: 2.1533107370132132e-05 loss: 0.0467 (0.0513) loss_seg: 0.0506 (0.0552) loss_lansim: 0.0781 (0.0780) loss_contra: 0.0000 (0.0059) time: 2.5915 data: 0.0027 max mem: 31671 Epoch: [24] [1660/5278] eta: 2:36:27 lr: 2.1530766716041973e-05 loss: 0.0453 (0.0513) loss_seg: 0.0490 (0.0552) loss_lansim: 0.0780 (0.0781) loss_contra: 0.0000 (0.0059) time: 2.6034 data: 0.0027 max mem: 31671 Epoch: [24] [1670/5278] eta: 2:36:02 lr: 2.1528426033678436e-05 loss: 0.0452 (0.0513) loss_seg: 0.0473 (0.0552) loss_lansim: 0.0780 (0.0781) loss_contra: 0.0001 (0.0059) time: 2.6054 data: 0.0027 max mem: 31671 Epoch: [24] [1680/5278] eta: 2:35:37 lr: 2.152608532303776e-05 loss: 0.0452 (0.0514) loss_seg: 0.0473 (0.0553) loss_lansim: 0.0788 (0.0781) loss_contra: 0.0000 (0.0059) time: 2.6063 data: 0.0027 max mem: 31671 Epoch: [24] [1690/5278] eta: 2:35:13 lr: 2.1523744584116186e-05 loss: 0.0460 (0.0515) loss_seg: 0.0482 (0.0554) loss_lansim: 0.0788 (0.0780) loss_contra: 0.0000 (0.0058) time: 2.6155 data: 0.0026 max mem: 31671 Epoch: [24] [1700/5278] eta: 2:34:46 lr: 2.1521403816909964e-05 loss: 0.0474 (0.0516) loss_seg: 0.0507 (0.0555) loss_lansim: 0.0791 (0.0781) loss_contra: 0.0001 (0.0058) time: 2.6117 data: 0.0026 max mem: 31671 Epoch: [24] [1710/5278] eta: 2:34:20 lr: 2.151906302141533e-05 loss: 0.0452 (0.0515) loss_seg: 0.0482 (0.0555) loss_lansim: 0.0777 (0.0781) loss_contra: 0.0000 (0.0058) time: 2.6128 data: 0.0026 max mem: 31671 Epoch: [24] [1720/5278] eta: 2:33:54 lr: 2.1516722197628518e-05 loss: 0.0443 (0.0515) loss_seg: 0.0473 (0.0554) loss_lansim: 0.0782 (0.0781) loss_contra: 0.0000 (0.0058) time: 2.6118 data: 0.0026 max mem: 31671 Epoch: [24] [1730/5278] eta: 2:33:28 lr: 2.1514381345545766e-05 loss: 0.0452 (0.0514) loss_seg: 0.0482 (0.0554) loss_lansim: 0.0784 (0.0781) loss_contra: 0.0000 (0.0057) time: 2.6127 data: 0.0026 max mem: 31671 Epoch: [24] [1740/5278] eta: 2:33:03 lr: 2.1512040465163318e-05 loss: 0.0425 (0.0515) loss_seg: 0.0460 (0.0554) loss_lansim: 0.0784 (0.0781) loss_contra: 0.0000 (0.0057) time: 2.6134 data: 0.0026 max mem: 31671 Epoch: [24] [1750/5278] eta: 2:32:37 lr: 2.1509699556477413e-05 loss: 0.0440 (0.0515) loss_seg: 0.0464 (0.0554) loss_lansim: 0.0784 (0.0781) loss_contra: 0.0000 (0.0057) time: 2.6147 data: 0.0026 max mem: 31671 Epoch: [24] [1760/5278] eta: 2:32:12 lr: 2.1507358619484273e-05 loss: 0.0440 (0.0516) loss_seg: 0.0464 (0.0555) loss_lansim: 0.0792 (0.0782) loss_contra: 0.0000 (0.0057) time: 2.6143 data: 0.0026 max mem: 31671 Epoch: [24] [1770/5278] eta: 2:31:46 lr: 2.150501765418014e-05 loss: 0.0443 (0.0516) loss_seg: 0.0477 (0.0556) loss_lansim: 0.0791 (0.0782) loss_contra: 0.0000 (0.0057) time: 2.6102 data: 0.0026 max mem: 31671 Epoch: [24] [1780/5278] eta: 2:31:22 lr: 2.1502676660561244e-05 loss: 0.0425 (0.0516) loss_seg: 0.0456 (0.0555) loss_lansim: 0.0790 (0.0782) loss_contra: 0.0000 (0.0057) time: 2.6153 data: 0.0025 max mem: 31671 Epoch: [24] [1790/5278] eta: 2:30:56 lr: 2.1500335638623818e-05 loss: 0.0402 (0.0515) loss_seg: 0.0428 (0.0555) loss_lansim: 0.0792 (0.0782) loss_contra: 0.0000 (0.0057) time: 2.6090 data: 0.0025 max mem: 31671 Epoch: [24] [1800/5278] eta: 2:30:30 lr: 2.1497994588364105e-05 loss: 0.0389 (0.0515) loss_seg: 0.0419 (0.0554) loss_lansim: 0.0792 (0.0782) loss_contra: 0.0000 (0.0057) time: 2.6142 data: 0.0025 max mem: 31671 Epoch: [24] [1810/5278] eta: 2:30:02 lr: 2.149565350977832e-05 loss: 0.0399 (0.0515) loss_seg: 0.0425 (0.0554) loss_lansim: 0.0796 (0.0782) loss_contra: 0.0000 (0.0058) time: 2.6030 data: 0.0025 max mem: 31671 Epoch: [24] [1820/5278] eta: 2:29:36 lr: 2.1493312402862696e-05 loss: 0.0416 (0.0515) loss_seg: 0.0456 (0.0555) loss_lansim: 0.0793 (0.0783) loss_contra: 0.0000 (0.0057) time: 2.6050 data: 0.0026 max mem: 31671 Epoch: [24] [1830/5278] eta: 2:29:11 lr: 2.1490971267613462e-05 loss: 0.0450 (0.0516) loss_seg: 0.0489 (0.0556) loss_lansim: 0.0798 (0.0783) loss_contra: 0.0000 (0.0057) time: 2.6059 data: 0.0025 max mem: 31671 Epoch: [24] [1840/5278] eta: 2:28:45 lr: 2.1488630104026852e-05 loss: 0.0452 (0.0516) loss_seg: 0.0495 (0.0556) loss_lansim: 0.0801 (0.0783) loss_contra: 0.0000 (0.0057) time: 2.6057 data: 0.0025 max mem: 31671 Epoch: [24] [1850/5278] eta: 2:28:19 lr: 2.1486288912099083e-05 loss: 0.0450 (0.0516) loss_seg: 0.0492 (0.0556) loss_lansim: 0.0813 (0.0784) loss_contra: 0.0001 (0.0057) time: 2.6006 data: 0.0025 max mem: 31671 Epoch: [24] [1860/5278] eta: 2:27:54 lr: 2.1483947691826385e-05 loss: 0.0437 (0.0516) loss_seg: 0.0476 (0.0555) loss_lansim: 0.0801 (0.0784) loss_contra: 0.0001 (0.0057) time: 2.6033 data: 0.0025 max mem: 31671 Epoch: [24] [1870/5278] eta: 2:27:28 lr: 2.1481606443204986e-05 loss: 0.0437 (0.0518) loss_seg: 0.0476 (0.0557) loss_lansim: 0.0801 (0.0785) loss_contra: 0.0001 (0.0056) time: 2.6068 data: 0.0025 max mem: 31671 Epoch: [24] [1880/5278] eta: 2:27:04 lr: 2.1479265166231107e-05 loss: 0.0441 (0.0517) loss_seg: 0.0480 (0.0557) loss_lansim: 0.0809 (0.0785) loss_contra: 0.0001 (0.0057) time: 2.6050 data: 0.0025 max mem: 31671 Epoch: [24] [1890/5278] eta: 2:26:36 lr: 2.1476923860900968e-05 loss: 0.0450 (0.0517) loss_seg: 0.0488 (0.0557) loss_lansim: 0.0826 (0.0785) loss_contra: 0.0001 (0.0057) time: 2.5981 data: 0.0025 max mem: 31671 Epoch: [24] [1900/5278] eta: 2:26:11 lr: 2.147458252721079e-05 loss: 0.0450 (0.0517) loss_seg: 0.0488 (0.0557) loss_lansim: 0.0801 (0.0785) loss_contra: 0.0001 (0.0057) time: 2.5989 data: 0.0025 max mem: 31671 Epoch: [24] [1910/5278] eta: 2:25:45 lr: 2.1472241165156794e-05 loss: 0.0458 (0.0517) loss_seg: 0.0496 (0.0557) loss_lansim: 0.0828 (0.0786) loss_contra: 0.0001 (0.0057) time: 2.6118 data: 0.0025 max mem: 31671 Epoch: [24] [1920/5278] eta: 2:25:20 lr: 2.1469899774735212e-05 loss: 0.0470 (0.0519) loss_seg: 0.0516 (0.0559) loss_lansim: 0.0828 (0.0786) loss_contra: 0.0001 (0.0056) time: 2.6156 data: 0.0024 max mem: 31671 Epoch: [24] [1930/5278] eta: 2:24:53 lr: 2.1467558355942248e-05 loss: 0.0454 (0.0519) loss_seg: 0.0492 (0.0558) loss_lansim: 0.0806 (0.0786) loss_contra: 0.0001 (0.0056) time: 2.6093 data: 0.0025 max mem: 31671 Epoch: [24] [1940/5278] eta: 2:24:27 lr: 2.146521690877412e-05 loss: 0.0451 (0.0518) loss_seg: 0.0488 (0.0558) loss_lansim: 0.0801 (0.0786) loss_contra: 0.0001 (0.0056) time: 2.6076 data: 0.0025 max mem: 31671 Epoch: [24] [1950/5278] eta: 2:24:01 lr: 2.1462875433227055e-05 loss: 0.0454 (0.0518) loss_seg: 0.0487 (0.0558) loss_lansim: 0.0799 (0.0787) loss_contra: 0.0001 (0.0056) time: 2.6087 data: 0.0025 max mem: 31671 Epoch: [24] [1960/5278] eta: 2:23:35 lr: 2.1460533929297267e-05 loss: 0.0474 (0.0519) loss_seg: 0.0517 (0.0558) loss_lansim: 0.0803 (0.0787) loss_contra: 0.0000 (0.0056) time: 2.6040 data: 0.0025 max mem: 31671 Epoch: [24] [1970/5278] eta: 2:23:09 lr: 2.1458192396980966e-05 loss: 0.0469 (0.0519) loss_seg: 0.0513 (0.0559) loss_lansim: 0.0805 (0.0787) loss_contra: 0.0000 (0.0055) time: 2.6002 data: 0.0025 max mem: 31671 Epoch: [24] [1980/5278] eta: 2:22:43 lr: 2.1455850836274367e-05 loss: 0.0469 (0.0519) loss_seg: 0.0513 (0.0559) loss_lansim: 0.0805 (0.0787) loss_contra: 0.0001 (0.0055) time: 2.5889 data: 0.0026 max mem: 31671 Epoch: [24] [1990/5278] eta: 2:22:16 lr: 2.1453509247173682e-05 loss: 0.0468 (0.0518) loss_seg: 0.0507 (0.0558) loss_lansim: 0.0806 (0.0788) loss_contra: 0.0000 (0.0055) time: 2.5915 data: 0.0025 max mem: 31671 Epoch: [24] [2000/5278] eta: 2:21:50 lr: 2.145116762967513e-05 loss: 0.0469 (0.0518) loss_seg: 0.0513 (0.0558) loss_lansim: 0.0810 (0.0788) loss_contra: 0.0000 (0.0055) time: 2.5916 data: 0.0026 max mem: 31671 Epoch: [24] [2010/5278] eta: 2:21:23 lr: 2.1448825983774916e-05 loss: 0.0468 (0.0519) loss_seg: 0.0507 (0.0559) loss_lansim: 0.0813 (0.0789) loss_contra: 0.0000 (0.0054) time: 2.5818 data: 0.0026 max mem: 31671 Epoch: [24] [2020/5278] eta: 2:20:57 lr: 2.144648430946925e-05 loss: 0.0441 (0.0519) loss_seg: 0.0479 (0.0559) loss_lansim: 0.0813 (0.0789) loss_contra: 0.0000 (0.0054) time: 2.5748 data: 0.0026 max mem: 31671 Epoch: [24] [2030/5278] eta: 2:20:29 lr: 2.1444142606754344e-05 loss: 0.0427 (0.0518) loss_seg: 0.0454 (0.0558) loss_lansim: 0.0813 (0.0789) loss_contra: 0.0000 (0.0054) time: 2.5694 data: 0.0026 max mem: 31671 Epoch: [24] [2040/5278] eta: 2:20:02 lr: 2.1441800875626403e-05 loss: 0.0434 (0.0518) loss_seg: 0.0459 (0.0558) loss_lansim: 0.0823 (0.0789) loss_contra: 0.0000 (0.0054) time: 2.5572 data: 0.0026 max mem: 31671 Epoch: [24] [2050/5278] eta: 2:19:34 lr: 2.1439459116081642e-05 loss: 0.0434 (0.0518) loss_seg: 0.0464 (0.0557) loss_lansim: 0.0813 (0.0789) loss_contra: 0.0000 (0.0054) time: 2.5483 data: 0.0026 max mem: 31671 Epoch: [24] [2060/5278] eta: 2:19:07 lr: 2.143711732811626e-05 loss: 0.0427 (0.0518) loss_seg: 0.0454 (0.0558) loss_lansim: 0.0813 (0.0789) loss_contra: 0.0000 (0.0054) time: 2.5420 data: 0.0026 max mem: 31671 Epoch: [24] [2070/5278] eta: 2:18:41 lr: 2.143477551172646e-05 loss: 0.0409 (0.0517) loss_seg: 0.0444 (0.0557) loss_lansim: 0.0810 (0.0789) loss_contra: 0.0000 (0.0054) time: 2.5397 data: 0.0026 max mem: 31671 Epoch: [24] [2080/5278] eta: 2:18:13 lr: 2.143243366690845e-05 loss: 0.0403 (0.0518) loss_seg: 0.0440 (0.0557) loss_lansim: 0.0813 (0.0789) loss_contra: 0.0000 (0.0053) time: 2.5310 data: 0.0026 max mem: 31671 Epoch: [24] [2090/5278] eta: 2:17:46 lr: 2.1430091793658442e-05 loss: 0.0410 (0.0520) loss_seg: 0.0448 (0.0560) loss_lansim: 0.0810 (0.0790) loss_contra: 0.0000 (0.0053) time: 2.5290 data: 0.0026 max mem: 31671 Epoch: [24] [2100/5278] eta: 2:17:19 lr: 2.1427749891972625e-05 loss: 0.0388 (0.0519) loss_seg: 0.0428 (0.0559) loss_lansim: 0.0793 (0.0790) loss_contra: 0.0000 (0.0053) time: 2.5233 data: 0.0026 max mem: 31671 Epoch: [24] [2110/5278] eta: 2:16:53 lr: 2.1425407961847205e-05 loss: 0.0388 (0.0519) loss_seg: 0.0425 (0.0558) loss_lansim: 0.0791 (0.0790) loss_contra: 0.0000 (0.0053) time: 2.5231 data: 0.0026 max mem: 31671 Epoch: [24] [2120/5278] eta: 2:16:25 lr: 2.1423066003278382e-05 loss: 0.0403 (0.0519) loss_seg: 0.0440 (0.0559) loss_lansim: 0.0787 (0.0790) loss_contra: 0.0001 (0.0053) time: 2.5115 data: 0.0025 max mem: 31671 Epoch: [24] [2130/5278] eta: 2:15:57 lr: 2.1420724016262364e-05 loss: 0.0393 (0.0518) loss_seg: 0.0428 (0.0558) loss_lansim: 0.0787 (0.0790) loss_contra: 0.0001 (0.0053) time: 2.5111 data: 0.0025 max mem: 31671 Epoch: [24] [2140/5278] eta: 2:15:31 lr: 2.1418382000795336e-05 loss: 0.0388 (0.0518) loss_seg: 0.0424 (0.0558) loss_lansim: 0.0787 (0.0790) loss_contra: 0.0000 (0.0053) time: 2.5182 data: 0.0025 max mem: 31671 Epoch: [24] [2150/5278] eta: 2:15:05 lr: 2.1416039956873503e-05 loss: 0.0387 (0.0517) loss_seg: 0.0422 (0.0557) loss_lansim: 0.0785 (0.0790) loss_contra: 0.0000 (0.0053) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [24] [2160/5278] eta: 2:14:39 lr: 2.1413697884493064e-05 loss: 0.0387 (0.0517) loss_seg: 0.0422 (0.0557) loss_lansim: 0.0780 (0.0790) loss_contra: 0.0001 (0.0052) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [24] [2170/5278] eta: 2:14:13 lr: 2.1411355783650214e-05 loss: 0.0393 (0.0517) loss_seg: 0.0425 (0.0557) loss_lansim: 0.0792 (0.0790) loss_contra: 0.0000 (0.0052) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [24] [2180/5278] eta: 2:13:47 lr: 2.140901365434114e-05 loss: 0.0393 (0.0517) loss_seg: 0.0425 (0.0556) loss_lansim: 0.0792 (0.0791) loss_contra: 0.0000 (0.0052) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [24] [2190/5278] eta: 2:13:20 lr: 2.140667149656204e-05 loss: 0.0393 (0.0517) loss_seg: 0.0425 (0.0556) loss_lansim: 0.0785 (0.0791) loss_contra: 0.0000 (0.0052) time: 2.5487 data: 0.0025 max mem: 31671 Epoch: [24] [2200/5278] eta: 2:12:55 lr: 2.140432931030911e-05 loss: 0.0415 (0.0517) loss_seg: 0.0454 (0.0557) loss_lansim: 0.0798 (0.0791) loss_contra: 0.0000 (0.0051) time: 2.5572 data: 0.0026 max mem: 31671 Epoch: [24] [2210/5278] eta: 2:12:29 lr: 2.1401987095578544e-05 loss: 0.0431 (0.0517) loss_seg: 0.0470 (0.0557) loss_lansim: 0.0796 (0.0791) loss_contra: 0.0000 (0.0051) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [24] [2220/5278] eta: 2:12:03 lr: 2.1399644852366522e-05 loss: 0.0429 (0.0517) loss_seg: 0.0461 (0.0557) loss_lansim: 0.0798 (0.0791) loss_contra: 0.0000 (0.0051) time: 2.5764 data: 0.0025 max mem: 31671 Epoch: [24] [2230/5278] eta: 2:11:38 lr: 2.139730258066924e-05 loss: 0.0435 (0.0517) loss_seg: 0.0472 (0.0557) loss_lansim: 0.0795 (0.0791) loss_contra: 0.0000 (0.0051) time: 2.5902 data: 0.0025 max mem: 31671 Epoch: [24] [2240/5278] eta: 2:11:12 lr: 2.1394960280482887e-05 loss: 0.0415 (0.0516) loss_seg: 0.0454 (0.0556) loss_lansim: 0.0798 (0.0792) loss_contra: 0.0000 (0.0051) time: 2.5913 data: 0.0025 max mem: 31671 Epoch: [24] [2250/5278] eta: 2:10:46 lr: 2.139261795180365e-05 loss: 0.0431 (0.0517) loss_seg: 0.0472 (0.0556) loss_lansim: 0.0809 (0.0792) loss_contra: 0.0000 (0.0051) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [24] [2260/5278] eta: 2:10:21 lr: 2.1390275594627726e-05 loss: 0.0411 (0.0516) loss_seg: 0.0450 (0.0556) loss_lansim: 0.0798 (0.0792) loss_contra: 0.0000 (0.0051) time: 2.5962 data: 0.0025 max mem: 31671 Epoch: [24] [2270/5278] eta: 2:09:55 lr: 2.1387933208951284e-05 loss: 0.0425 (0.0516) loss_seg: 0.0464 (0.0556) loss_lansim: 0.0809 (0.0792) loss_contra: 0.0000 (0.0050) time: 2.6066 data: 0.0026 max mem: 31671 Epoch: [24] [2280/5278] eta: 2:09:30 lr: 2.1385590794770516e-05 loss: 0.0430 (0.0517) loss_seg: 0.0470 (0.0556) loss_lansim: 0.0809 (0.0792) loss_contra: 0.0000 (0.0050) time: 2.6079 data: 0.0026 max mem: 31671 Epoch: [24] [2290/5278] eta: 2:09:04 lr: 2.1383248352081608e-05 loss: 0.0430 (0.0517) loss_seg: 0.0472 (0.0556) loss_lansim: 0.0815 (0.0793) loss_contra: 0.0000 (0.0050) time: 2.6101 data: 0.0026 max mem: 31671 Epoch: [24] [2300/5278] eta: 2:08:38 lr: 2.1380905880880747e-05 loss: 0.0421 (0.0516) loss_seg: 0.0464 (0.0556) loss_lansim: 0.0809 (0.0793) loss_contra: 0.0000 (0.0050) time: 2.6080 data: 0.0025 max mem: 31671 Epoch: [24] [2310/5278] eta: 2:08:14 lr: 2.1378563381164106e-05 loss: 0.0411 (0.0516) loss_seg: 0.0450 (0.0555) loss_lansim: 0.0809 (0.0793) loss_contra: 0.0000 (0.0050) time: 2.6210 data: 0.0025 max mem: 31671 Epoch: [24] [2320/5278] eta: 2:07:48 lr: 2.1376220852927868e-05 loss: 0.0409 (0.0516) loss_seg: 0.0447 (0.0555) loss_lansim: 0.0813 (0.0793) loss_contra: 0.0000 (0.0050) time: 2.6209 data: 0.0025 max mem: 31671 Epoch: [24] [2330/5278] eta: 2:07:21 lr: 2.1373878296168216e-05 loss: 0.0409 (0.0516) loss_seg: 0.0447 (0.0555) loss_lansim: 0.0820 (0.0794) loss_contra: 0.0000 (0.0050) time: 2.6089 data: 0.0026 max mem: 31671 Epoch: [24] [2340/5278] eta: 2:06:56 lr: 2.1371535710881328e-05 loss: 0.0433 (0.0516) loss_seg: 0.0478 (0.0555) loss_lansim: 0.0815 (0.0793) loss_contra: 0.0000 (0.0050) time: 2.6223 data: 0.0025 max mem: 31671 Epoch: [24] [2350/5278] eta: 2:06:30 lr: 2.1369193097063382e-05 loss: 0.0425 (0.0516) loss_seg: 0.0469 (0.0555) loss_lansim: 0.0806 (0.0793) loss_contra: 0.0000 (0.0050) time: 2.6175 data: 0.0025 max mem: 31671 Epoch: [24] [2360/5278] eta: 2:06:05 lr: 2.1366850454710556e-05 loss: 0.0480 (0.0516) loss_seg: 0.0505 (0.0556) loss_lansim: 0.0817 (0.0794) loss_contra: 0.0000 (0.0050) time: 2.6184 data: 0.0025 max mem: 31671 Epoch: [24] [2370/5278] eta: 2:05:39 lr: 2.1364507783819025e-05 loss: 0.0494 (0.0517) loss_seg: 0.0511 (0.0557) loss_lansim: 0.0813 (0.0794) loss_contra: 0.0000 (0.0050) time: 2.6122 data: 0.0025 max mem: 31671 Epoch: [24] [2380/5278] eta: 2:05:13 lr: 2.136216508438497e-05 loss: 0.0494 (0.0517) loss_seg: 0.0505 (0.0557) loss_lansim: 0.0803 (0.0794) loss_contra: 0.0000 (0.0051) time: 2.6079 data: 0.0025 max mem: 31671 Epoch: [24] [2390/5278] eta: 2:04:47 lr: 2.1359822356404554e-05 loss: 0.0425 (0.0517) loss_seg: 0.0467 (0.0556) loss_lansim: 0.0796 (0.0794) loss_contra: 0.0000 (0.0051) time: 2.6148 data: 0.0025 max mem: 31671 Epoch: [24] [2400/5278] eta: 2:04:21 lr: 2.1357479599873957e-05 loss: 0.0450 (0.0517) loss_seg: 0.0496 (0.0556) loss_lansim: 0.0788 (0.0794) loss_contra: 0.0000 (0.0050) time: 2.6049 data: 0.0025 max mem: 31671 Epoch: [24] [2410/5278] eta: 2:03:54 lr: 2.135513681478935e-05 loss: 0.0467 (0.0516) loss_seg: 0.0501 (0.0556) loss_lansim: 0.0788 (0.0794) loss_contra: 0.0000 (0.0050) time: 2.5916 data: 0.0025 max mem: 31671 Epoch: [24] [2420/5278] eta: 2:03:28 lr: 2.135279400114691e-05 loss: 0.0463 (0.0517) loss_seg: 0.0501 (0.0557) loss_lansim: 0.0788 (0.0794) loss_contra: 0.0001 (0.0050) time: 2.5874 data: 0.0025 max mem: 31671 Epoch: [24] [2430/5278] eta: 2:03:02 lr: 2.13504511589428e-05 loss: 0.0453 (0.0517) loss_seg: 0.0496 (0.0557) loss_lansim: 0.0786 (0.0794) loss_contra: 0.0001 (0.0050) time: 2.5888 data: 0.0025 max mem: 31671 Epoch: [24] [2440/5278] eta: 2:02:35 lr: 2.1348108288173187e-05 loss: 0.0450 (0.0517) loss_seg: 0.0491 (0.0557) loss_lansim: 0.0788 (0.0794) loss_contra: 0.0001 (0.0050) time: 2.5762 data: 0.0025 max mem: 31671 Epoch: [24] [2450/5278] eta: 2:02:10 lr: 2.1345765388834248e-05 loss: 0.0450 (0.0517) loss_seg: 0.0491 (0.0557) loss_lansim: 0.0796 (0.0794) loss_contra: 0.0001 (0.0050) time: 2.5795 data: 0.0025 max mem: 31671 Epoch: [24] [2460/5278] eta: 2:01:43 lr: 2.1343422460922146e-05 loss: 0.0450 (0.0518) loss_seg: 0.0491 (0.0557) loss_lansim: 0.0795 (0.0795) loss_contra: 0.0001 (0.0050) time: 2.5720 data: 0.0025 max mem: 31671 Epoch: [24] [2470/5278] eta: 2:01:17 lr: 2.1341079504433047e-05 loss: 0.0438 (0.0518) loss_seg: 0.0480 (0.0558) loss_lansim: 0.0794 (0.0795) loss_contra: 0.0001 (0.0050) time: 2.5671 data: 0.0025 max mem: 31671 Epoch: [24] [2480/5278] eta: 2:00:51 lr: 2.1338736519363115e-05 loss: 0.0421 (0.0517) loss_seg: 0.0449 (0.0557) loss_lansim: 0.0794 (0.0795) loss_contra: 0.0001 (0.0050) time: 2.5674 data: 0.0025 max mem: 31671 Epoch: [24] [2490/5278] eta: 2:00:23 lr: 2.1336393505708514e-05 loss: 0.0436 (0.0518) loss_seg: 0.0459 (0.0557) loss_lansim: 0.0814 (0.0796) loss_contra: 0.0001 (0.0050) time: 2.5508 data: 0.0026 max mem: 31671 Epoch: [24] [2500/5278] eta: 1:59:57 lr: 2.1334050463465417e-05 loss: 0.0436 (0.0518) loss_seg: 0.0477 (0.0557) loss_lansim: 0.0829 (0.0796) loss_contra: 0.0001 (0.0050) time: 2.5520 data: 0.0026 max mem: 31671 Epoch: [24] [2510/5278] eta: 1:59:30 lr: 2.133170739262998e-05 loss: 0.0435 (0.0518) loss_seg: 0.0477 (0.0557) loss_lansim: 0.0841 (0.0796) loss_contra: 0.0001 (0.0050) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [24] [2520/5278] eta: 1:59:04 lr: 2.1329364293198355e-05 loss: 0.0417 (0.0518) loss_seg: 0.0457 (0.0557) loss_lansim: 0.0841 (0.0796) loss_contra: 0.0001 (0.0049) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [24] [2530/5278] eta: 1:58:38 lr: 2.1327021165166717e-05 loss: 0.0435 (0.0518) loss_seg: 0.0477 (0.0557) loss_lansim: 0.0841 (0.0796) loss_contra: 0.0001 (0.0049) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [24] [2540/5278] eta: 1:58:11 lr: 2.1324678008531217e-05 loss: 0.0423 (0.0518) loss_seg: 0.0455 (0.0557) loss_lansim: 0.0841 (0.0796) loss_contra: 0.0001 (0.0049) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [24] [2550/5278] eta: 1:57:46 lr: 2.1322334823288022e-05 loss: 0.0423 (0.0518) loss_seg: 0.0455 (0.0557) loss_lansim: 0.0848 (0.0797) loss_contra: 0.0001 (0.0049) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [24] [2560/5278] eta: 1:57:20 lr: 2.1319991609433278e-05 loss: 0.0417 (0.0518) loss_seg: 0.0450 (0.0557) loss_lansim: 0.0843 (0.0797) loss_contra: 0.0001 (0.0049) time: 2.5517 data: 0.0025 max mem: 31671 Epoch: [24] [2570/5278] eta: 1:56:54 lr: 2.131764836696315e-05 loss: 0.0410 (0.0517) loss_seg: 0.0449 (0.0556) loss_lansim: 0.0843 (0.0797) loss_contra: 0.0001 (0.0049) time: 2.5566 data: 0.0025 max mem: 31671 Epoch: [24] [2580/5278] eta: 1:56:28 lr: 2.1315305095873785e-05 loss: 0.0422 (0.0517) loss_seg: 0.0460 (0.0556) loss_lansim: 0.0845 (0.0797) loss_contra: 0.0001 (0.0049) time: 2.5582 data: 0.0025 max mem: 31671 Epoch: [24] [2590/5278] eta: 1:56:02 lr: 2.1312961796161355e-05 loss: 0.0410 (0.0517) loss_seg: 0.0441 (0.0556) loss_lansim: 0.0829 (0.0798) loss_contra: 0.0001 (0.0048) time: 2.5683 data: 0.0025 max mem: 31671 Epoch: [24] [2600/5278] eta: 1:55:37 lr: 2.1310618467821994e-05 loss: 0.0401 (0.0517) loss_seg: 0.0436 (0.0556) loss_lansim: 0.0824 (0.0798) loss_contra: 0.0001 (0.0048) time: 2.5804 data: 0.0025 max mem: 31671 Epoch: [24] [2610/5278] eta: 1:55:10 lr: 2.1308275110851865e-05 loss: 0.0410 (0.0517) loss_seg: 0.0441 (0.0556) loss_lansim: 0.0819 (0.0798) loss_contra: 0.0001 (0.0048) time: 2.5829 data: 0.0025 max mem: 31671 Epoch: [24] [2620/5278] eta: 1:54:45 lr: 2.1305931725247113e-05 loss: 0.0421 (0.0517) loss_seg: 0.0452 (0.0556) loss_lansim: 0.0824 (0.0798) loss_contra: 0.0001 (0.0048) time: 2.5896 data: 0.0026 max mem: 31671 Epoch: [24] [2630/5278] eta: 1:54:18 lr: 2.13035883110039e-05 loss: 0.0398 (0.0517) loss_seg: 0.0435 (0.0556) loss_lansim: 0.0834 (0.0798) loss_contra: 0.0001 (0.0048) time: 2.5863 data: 0.0026 max mem: 31671 Epoch: [24] [2640/5278] eta: 1:53:53 lr: 2.1301244868118364e-05 loss: 0.0410 (0.0517) loss_seg: 0.0437 (0.0556) loss_lansim: 0.0829 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [24] [2650/5278] eta: 1:53:27 lr: 2.1298901396586657e-05 loss: 0.0399 (0.0516) loss_seg: 0.0436 (0.0555) loss_lansim: 0.0817 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.5900 data: 0.0026 max mem: 31671 Epoch: [24] [2660/5278] eta: 1:53:01 lr: 2.1296557896404927e-05 loss: 0.0400 (0.0516) loss_seg: 0.0436 (0.0555) loss_lansim: 0.0817 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.5984 data: 0.0026 max mem: 31671 Epoch: [24] [2670/5278] eta: 1:52:37 lr: 2.1294214367569333e-05 loss: 0.0410 (0.0516) loss_seg: 0.0437 (0.0555) loss_lansim: 0.0817 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6177 data: 0.0026 max mem: 31671 Epoch: [24] [2680/5278] eta: 1:52:13 lr: 2.1291870810076e-05 loss: 0.0410 (0.0515) loss_seg: 0.0441 (0.0554) loss_lansim: 0.0818 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6285 data: 0.0026 max mem: 31671 Epoch: [24] [2690/5278] eta: 1:51:47 lr: 2.1289527223921078e-05 loss: 0.0414 (0.0516) loss_seg: 0.0441 (0.0555) loss_lansim: 0.0818 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6313 data: 0.0026 max mem: 31671 Epoch: [24] [2700/5278] eta: 1:51:22 lr: 2.1287183609100717e-05 loss: 0.0406 (0.0515) loss_seg: 0.0437 (0.0554) loss_lansim: 0.0817 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6347 data: 0.0026 max mem: 31671 Epoch: [24] [2710/5278] eta: 1:50:57 lr: 2.1284839965611065e-05 loss: 0.0404 (0.0515) loss_seg: 0.0428 (0.0554) loss_lansim: 0.0817 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6451 data: 0.0026 max mem: 31671 Epoch: [24] [2720/5278] eta: 1:50:31 lr: 2.1282496293448246e-05 loss: 0.0401 (0.0515) loss_seg: 0.0428 (0.0554) loss_lansim: 0.0809 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6527 data: 0.0026 max mem: 31671 Epoch: [24] [2730/5278] eta: 1:50:06 lr: 2.1280152592608416e-05 loss: 0.0416 (0.0515) loss_seg: 0.0441 (0.0554) loss_lansim: 0.0811 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6618 data: 0.0026 max mem: 31671 Epoch: [24] [2740/5278] eta: 1:49:41 lr: 2.1277808863087705e-05 loss: 0.0414 (0.0515) loss_seg: 0.0441 (0.0554) loss_lansim: 0.0802 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6639 data: 0.0026 max mem: 31671 Epoch: [24] [2750/5278] eta: 1:49:15 lr: 2.127546510488226e-05 loss: 0.0423 (0.0515) loss_seg: 0.0443 (0.0554) loss_lansim: 0.0795 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6704 data: 0.0026 max mem: 31671 Epoch: [24] [2760/5278] eta: 1:48:50 lr: 2.1273121317988222e-05 loss: 0.0448 (0.0516) loss_seg: 0.0477 (0.0555) loss_lansim: 0.0784 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6777 data: 0.0026 max mem: 31671 Epoch: [24] [2770/5278] eta: 1:48:24 lr: 2.127077750240171e-05 loss: 0.0478 (0.0516) loss_seg: 0.0508 (0.0556) loss_lansim: 0.0776 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6525 data: 0.0026 max mem: 31671 Epoch: [24] [2780/5278] eta: 1:47:58 lr: 2.1268433658118872e-05 loss: 0.0482 (0.0516) loss_seg: 0.0531 (0.0555) loss_lansim: 0.0763 (0.0799) loss_contra: 0.0000 (0.0047) time: 2.6387 data: 0.0026 max mem: 31671 Epoch: [24] [2790/5278] eta: 1:47:33 lr: 2.126608978513584e-05 loss: 0.0494 (0.0516) loss_seg: 0.0544 (0.0556) loss_lansim: 0.0763 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6481 data: 0.0026 max mem: 31671 Epoch: [24] [2800/5278] eta: 1:47:07 lr: 2.1263745883448758e-05 loss: 0.0527 (0.0517) loss_seg: 0.0579 (0.0556) loss_lansim: 0.0763 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6401 data: 0.0026 max mem: 31671 Epoch: [24] [2810/5278] eta: 1:46:41 lr: 2.1261401953053746e-05 loss: 0.0543 (0.0517) loss_seg: 0.0583 (0.0556) loss_lansim: 0.0766 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6310 data: 0.0026 max mem: 31671 Epoch: [24] [2820/5278] eta: 1:46:16 lr: 2.1259057993946936e-05 loss: 0.0553 (0.0517) loss_seg: 0.0601 (0.0557) loss_lansim: 0.0766 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6326 data: 0.0026 max mem: 31671 Epoch: [24] [2830/5278] eta: 1:45:51 lr: 2.1256714006124462e-05 loss: 0.0500 (0.0518) loss_seg: 0.0545 (0.0557) loss_lansim: 0.0770 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6416 data: 0.0026 max mem: 31671 Epoch: [24] [2840/5278] eta: 1:45:25 lr: 2.125436998958246e-05 loss: 0.0497 (0.0518) loss_seg: 0.0544 (0.0557) loss_lansim: 0.0766 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6423 data: 0.0025 max mem: 31671 Epoch: [24] [2850/5278] eta: 1:45:01 lr: 2.1252025944317047e-05 loss: 0.0494 (0.0518) loss_seg: 0.0527 (0.0557) loss_lansim: 0.0781 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6523 data: 0.0025 max mem: 31671 Epoch: [24] [2860/5278] eta: 1:44:35 lr: 2.124968187032436e-05 loss: 0.0450 (0.0517) loss_seg: 0.0491 (0.0556) loss_lansim: 0.0804 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6368 data: 0.0025 max mem: 31671 Epoch: [24] [2870/5278] eta: 1:44:09 lr: 2.124733776760052e-05 loss: 0.0449 (0.0517) loss_seg: 0.0491 (0.0557) loss_lansim: 0.0804 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6432 data: 0.0025 max mem: 31671 Epoch: [24] [2880/5278] eta: 1:43:43 lr: 2.124499363614166e-05 loss: 0.0452 (0.0517) loss_seg: 0.0496 (0.0556) loss_lansim: 0.0808 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6496 data: 0.0025 max mem: 31671 Epoch: [24] [2890/5278] eta: 1:43:17 lr: 2.1242649475943896e-05 loss: 0.0452 (0.0517) loss_seg: 0.0488 (0.0556) loss_lansim: 0.0804 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6417 data: 0.0025 max mem: 31671 Epoch: [24] [2900/5278] eta: 1:42:52 lr: 2.1240305287003356e-05 loss: 0.0432 (0.0517) loss_seg: 0.0467 (0.0556) loss_lansim: 0.0808 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6511 data: 0.0026 max mem: 31671 Epoch: [24] [2910/5278] eta: 1:42:26 lr: 2.1237961069316164e-05 loss: 0.0430 (0.0517) loss_seg: 0.0466 (0.0557) loss_lansim: 0.0804 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6555 data: 0.0026 max mem: 31671 Epoch: [24] [2920/5278] eta: 1:42:01 lr: 2.1235616822878445e-05 loss: 0.0430 (0.0518) loss_seg: 0.0466 (0.0557) loss_lansim: 0.0815 (0.0800) loss_contra: 0.0001 (0.0048) time: 2.6529 data: 0.0026 max mem: 31671 Epoch: [24] [2930/5278] eta: 1:41:35 lr: 2.1233272547686312e-05 loss: 0.0439 (0.0518) loss_seg: 0.0467 (0.0557) loss_lansim: 0.0804 (0.0799) loss_contra: 0.0001 (0.0048) time: 2.6383 data: 0.0026 max mem: 31671 Epoch: [24] [2940/5278] eta: 1:41:10 lr: 2.1230928243735886e-05 loss: 0.0443 (0.0519) loss_seg: 0.0473 (0.0558) loss_lansim: 0.0815 (0.0800) loss_contra: 0.0001 (0.0047) time: 2.6405 data: 0.0026 max mem: 31671 Epoch: [24] [2950/5278] eta: 1:40:44 lr: 2.122858391102329e-05 loss: 0.0430 (0.0518) loss_seg: 0.0459 (0.0557) loss_lansim: 0.0804 (0.0800) loss_contra: 0.0001 (0.0047) time: 2.6373 data: 0.0026 max mem: 31671 Epoch: [24] [2960/5278] eta: 1:40:20 lr: 2.1226239549544643e-05 loss: 0.0426 (0.0518) loss_seg: 0.0455 (0.0557) loss_lansim: 0.0802 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6515 data: 0.0026 max mem: 31671 Epoch: [24] [2970/5278] eta: 1:39:53 lr: 2.1223895159296057e-05 loss: 0.0413 (0.0517) loss_seg: 0.0451 (0.0556) loss_lansim: 0.0800 (0.0799) loss_contra: 0.0001 (0.0047) time: 2.6482 data: 0.0026 max mem: 31671 Epoch: [24] [2980/5278] eta: 1:39:27 lr: 2.122155074027365e-05 loss: 0.0419 (0.0517) loss_seg: 0.0454 (0.0556) loss_lansim: 0.0796 (0.0799) loss_contra: 0.0000 (0.0047) time: 2.6388 data: 0.0026 max mem: 31671 Epoch: [24] [2990/5278] eta: 1:39:00 lr: 2.1219206292473533e-05 loss: 0.0419 (0.0517) loss_seg: 0.0459 (0.0557) loss_lansim: 0.0796 (0.0799) loss_contra: 0.0000 (0.0047) time: 2.6301 data: 0.0026 max mem: 31671 Epoch: [24] [3000/5278] eta: 1:38:34 lr: 2.121686181589182e-05 loss: 0.0417 (0.0517) loss_seg: 0.0454 (0.0556) loss_lansim: 0.0796 (0.0799) loss_contra: 0.0000 (0.0047) time: 2.6147 data: 0.0026 max mem: 31671 Epoch: [24] [3010/5278] eta: 1:38:07 lr: 2.121451731052464e-05 loss: 0.0421 (0.0517) loss_seg: 0.0461 (0.0556) loss_lansim: 0.0795 (0.0799) loss_contra: 0.0000 (0.0047) time: 2.6022 data: 0.0026 max mem: 31671 Epoch: [24] [3020/5278] eta: 1:37:42 lr: 2.1212172776368082e-05 loss: 0.0406 (0.0517) loss_seg: 0.0435 (0.0556) loss_lansim: 0.0773 (0.0799) loss_contra: 0.0000 (0.0047) time: 2.5981 data: 0.0026 max mem: 31671 Epoch: [24] [3030/5278] eta: 1:37:16 lr: 2.120982821341827e-05 loss: 0.0393 (0.0517) loss_seg: 0.0425 (0.0556) loss_lansim: 0.0763 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.6072 data: 0.0026 max mem: 31671 Epoch: [24] [3040/5278] eta: 1:36:49 lr: 2.120748362167131e-05 loss: 0.0393 (0.0516) loss_seg: 0.0425 (0.0555) loss_lansim: 0.0760 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.5845 data: 0.0025 max mem: 31671 Epoch: [24] [3050/5278] eta: 1:36:23 lr: 2.1205139001123313e-05 loss: 0.0393 (0.0516) loss_seg: 0.0425 (0.0555) loss_lansim: 0.0749 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.5691 data: 0.0025 max mem: 31671 Epoch: [24] [3060/5278] eta: 1:35:57 lr: 2.1202794351770384e-05 loss: 0.0406 (0.0516) loss_seg: 0.0433 (0.0555) loss_lansim: 0.0760 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.5532 data: 0.0025 max mem: 31671 Epoch: [24] [3070/5278] eta: 1:35:31 lr: 2.120044967360863e-05 loss: 0.0407 (0.0516) loss_seg: 0.0447 (0.0555) loss_lansim: 0.0749 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.5593 data: 0.0025 max mem: 31671 Epoch: [24] [3080/5278] eta: 1:35:05 lr: 2.1198104966634156e-05 loss: 0.0399 (0.0516) loss_seg: 0.0419 (0.0555) loss_lansim: 0.0761 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.5624 data: 0.0026 max mem: 31671 Epoch: [24] [3090/5278] eta: 1:34:39 lr: 2.1195760230843077e-05 loss: 0.0387 (0.0516) loss_seg: 0.0419 (0.0555) loss_lansim: 0.0788 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.5729 data: 0.0025 max mem: 31671 Epoch: [24] [3100/5278] eta: 1:34:14 lr: 2.1193415466231478e-05 loss: 0.0380 (0.0516) loss_seg: 0.0419 (0.0555) loss_lansim: 0.0776 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.5855 data: 0.0025 max mem: 31671 Epoch: [24] [3110/5278] eta: 1:33:47 lr: 2.1191070672795477e-05 loss: 0.0380 (0.0516) loss_seg: 0.0411 (0.0555) loss_lansim: 0.0776 (0.0799) loss_contra: 0.0000 (0.0046) time: 2.5911 data: 0.0026 max mem: 31671 Epoch: [24] [3120/5278] eta: 1:33:22 lr: 2.1188725850531167e-05 loss: 0.0409 (0.0516) loss_seg: 0.0420 (0.0555) loss_lansim: 0.0782 (0.0799) loss_contra: 0.0000 (0.0045) time: 2.5951 data: 0.0026 max mem: 31671 Epoch: [24] [3130/5278] eta: 1:32:55 lr: 2.118638099943466e-05 loss: 0.0415 (0.0516) loss_seg: 0.0447 (0.0555) loss_lansim: 0.0803 (0.0799) loss_contra: 0.0000 (0.0045) time: 2.5814 data: 0.0026 max mem: 31671 Epoch: [24] [3140/5278] eta: 1:32:30 lr: 2.1184036119502042e-05 loss: 0.0416 (0.0516) loss_seg: 0.0453 (0.0555) loss_lansim: 0.0811 (0.0799) loss_contra: 0.0000 (0.0045) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [24] [3150/5278] eta: 1:32:04 lr: 2.1181691210729417e-05 loss: 0.0428 (0.0516) loss_seg: 0.0458 (0.0555) loss_lansim: 0.0820 (0.0799) loss_contra: 0.0001 (0.0045) time: 2.6071 data: 0.0026 max mem: 31671 Epoch: [24] [3160/5278] eta: 1:31:38 lr: 2.1179346273112887e-05 loss: 0.0430 (0.0516) loss_seg: 0.0459 (0.0555) loss_lansim: 0.0820 (0.0799) loss_contra: 0.0001 (0.0045) time: 2.6076 data: 0.0026 max mem: 31671 Epoch: [24] [3170/5278] eta: 1:31:12 lr: 2.117700130664855e-05 loss: 0.0428 (0.0515) loss_seg: 0.0458 (0.0554) loss_lansim: 0.0819 (0.0799) loss_contra: 0.0001 (0.0045) time: 2.6095 data: 0.0026 max mem: 31671 Epoch: [24] [3180/5278] eta: 1:30:46 lr: 2.117465631133249e-05 loss: 0.0428 (0.0515) loss_seg: 0.0461 (0.0554) loss_lansim: 0.0819 (0.0800) loss_contra: 0.0001 (0.0046) time: 2.6088 data: 0.0026 max mem: 31671 Epoch: [24] [3190/5278] eta: 1:30:20 lr: 2.1172311287160812e-05 loss: 0.0400 (0.0515) loss_seg: 0.0439 (0.0553) loss_lansim: 0.0809 (0.0800) loss_contra: 0.0001 (0.0046) time: 2.6071 data: 0.0026 max mem: 31671 Epoch: [24] [3200/5278] eta: 1:29:54 lr: 2.1169966234129606e-05 loss: 0.0384 (0.0514) loss_seg: 0.0419 (0.0553) loss_lansim: 0.0811 (0.0799) loss_contra: 0.0001 (0.0046) time: 2.6012 data: 0.0026 max mem: 31671 Epoch: [24] [3210/5278] eta: 1:29:29 lr: 2.116762115223497e-05 loss: 0.0395 (0.0514) loss_seg: 0.0434 (0.0553) loss_lansim: 0.0812 (0.0799) loss_contra: 0.0001 (0.0045) time: 2.6089 data: 0.0026 max mem: 31671 Epoch: [24] [3220/5278] eta: 1:29:03 lr: 2.1165276041472986e-05 loss: 0.0395 (0.0514) loss_seg: 0.0419 (0.0553) loss_lansim: 0.0811 (0.0799) loss_contra: 0.0000 (0.0045) time: 2.6128 data: 0.0026 max mem: 31671 Epoch: [24] [3230/5278] eta: 1:28:38 lr: 2.116293090183975e-05 loss: 0.0384 (0.0514) loss_seg: 0.0419 (0.0553) loss_lansim: 0.0804 (0.0799) loss_contra: 0.0000 (0.0045) time: 2.6239 data: 0.0026 max mem: 31671 Epoch: [24] [3240/5278] eta: 1:28:11 lr: 2.1160585733331352e-05 loss: 0.0377 (0.0513) loss_seg: 0.0409 (0.0552) loss_lansim: 0.0804 (0.0799) loss_contra: 0.0000 (0.0045) time: 2.6135 data: 0.0026 max mem: 31671 Epoch: [24] [3250/5278] eta: 1:27:46 lr: 2.1158240535943878e-05 loss: 0.0379 (0.0514) loss_seg: 0.0413 (0.0552) loss_lansim: 0.0797 (0.0799) loss_contra: 0.0000 (0.0045) time: 2.6187 data: 0.0026 max mem: 31671 Epoch: [24] [3260/5278] eta: 1:27:20 lr: 2.1155895309673424e-05 loss: 0.0384 (0.0514) loss_seg: 0.0415 (0.0553) loss_lansim: 0.0788 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.6198 data: 0.0026 max mem: 31671 Epoch: [24] [3270/5278] eta: 1:26:53 lr: 2.1153550054516064e-05 loss: 0.0402 (0.0514) loss_seg: 0.0419 (0.0553) loss_lansim: 0.0804 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.6098 data: 0.0027 max mem: 31671 Epoch: [24] [3280/5278] eta: 1:26:28 lr: 2.115120477046789e-05 loss: 0.0415 (0.0514) loss_seg: 0.0448 (0.0553) loss_lansim: 0.0784 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.6246 data: 0.0026 max mem: 31671 Epoch: [24] [3290/5278] eta: 1:26:02 lr: 2.114885945752499e-05 loss: 0.0427 (0.0514) loss_seg: 0.0458 (0.0553) loss_lansim: 0.0804 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.6196 data: 0.0027 max mem: 31671 Epoch: [24] [3300/5278] eta: 1:25:36 lr: 2.1146514115683447e-05 loss: 0.0435 (0.0514) loss_seg: 0.0474 (0.0553) loss_lansim: 0.0805 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.6219 data: 0.0027 max mem: 31671 Epoch: [24] [3310/5278] eta: 1:25:10 lr: 2.1144168744939337e-05 loss: 0.0429 (0.0514) loss_seg: 0.0458 (0.0553) loss_lansim: 0.0807 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.6169 data: 0.0026 max mem: 31671 Epoch: [24] [3320/5278] eta: 1:24:44 lr: 2.1141823345288743e-05 loss: 0.0436 (0.0514) loss_seg: 0.0474 (0.0553) loss_lansim: 0.0811 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.6109 data: 0.0026 max mem: 31671 Epoch: [24] [3330/5278] eta: 1:24:18 lr: 2.113947791672775e-05 loss: 0.0440 (0.0514) loss_seg: 0.0479 (0.0553) loss_lansim: 0.0812 (0.0800) loss_contra: 0.0000 (0.0044) time: 2.5962 data: 0.0026 max mem: 31671 Epoch: [24] [3340/5278] eta: 1:23:52 lr: 2.113713245925244e-05 loss: 0.0468 (0.0514) loss_seg: 0.0484 (0.0553) loss_lansim: 0.0809 (0.0800) loss_contra: 0.0000 (0.0044) time: 2.5938 data: 0.0026 max mem: 31671 Epoch: [24] [3350/5278] eta: 1:23:26 lr: 2.113478697285888e-05 loss: 0.0449 (0.0514) loss_seg: 0.0481 (0.0553) loss_lansim: 0.0809 (0.0800) loss_contra: 0.0000 (0.0044) time: 2.5945 data: 0.0026 max mem: 31671 Epoch: [24] [3360/5278] eta: 1:23:00 lr: 2.1132441457543156e-05 loss: 0.0440 (0.0514) loss_seg: 0.0479 (0.0552) loss_lansim: 0.0810 (0.0800) loss_contra: 0.0000 (0.0044) time: 2.5945 data: 0.0026 max mem: 31671 Epoch: [24] [3370/5278] eta: 1:22:34 lr: 2.113009591330134e-05 loss: 0.0440 (0.0513) loss_seg: 0.0481 (0.0552) loss_lansim: 0.0810 (0.0800) loss_contra: 0.0000 (0.0044) time: 2.6027 data: 0.0025 max mem: 31671 Epoch: [24] [3380/5278] eta: 1:22:08 lr: 2.112775034012952e-05 loss: 0.0440 (0.0514) loss_seg: 0.0481 (0.0552) loss_lansim: 0.0810 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.5864 data: 0.0025 max mem: 31671 Epoch: [24] [3390/5278] eta: 1:21:42 lr: 2.1125404738023754e-05 loss: 0.0440 (0.0514) loss_seg: 0.0473 (0.0553) loss_lansim: 0.0808 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.5847 data: 0.0025 max mem: 31671 Epoch: [24] [3400/5278] eta: 1:21:16 lr: 2.112305910698012e-05 loss: 0.0439 (0.0514) loss_seg: 0.0472 (0.0552) loss_lansim: 0.0803 (0.0800) loss_contra: 0.0000 (0.0044) time: 2.5828 data: 0.0025 max mem: 31671 Epoch: [24] [3410/5278] eta: 1:20:50 lr: 2.1120713446994697e-05 loss: 0.0440 (0.0514) loss_seg: 0.0473 (0.0552) loss_lansim: 0.0803 (0.0800) loss_contra: 0.0000 (0.0044) time: 2.5836 data: 0.0025 max mem: 31671 Epoch: [24] [3420/5278] eta: 1:20:23 lr: 2.1118367758063555e-05 loss: 0.0427 (0.0514) loss_seg: 0.0441 (0.0552) loss_lansim: 0.0795 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.5712 data: 0.0025 max mem: 31671 Epoch: [24] [3430/5278] eta: 1:19:57 lr: 2.1116022040182758e-05 loss: 0.0401 (0.0513) loss_seg: 0.0435 (0.0552) loss_lansim: 0.0795 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.5781 data: 0.0025 max mem: 31671 Epoch: [24] [3440/5278] eta: 1:19:31 lr: 2.111367629334838e-05 loss: 0.0395 (0.0513) loss_seg: 0.0432 (0.0552) loss_lansim: 0.0799 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.5868 data: 0.0025 max mem: 31671 Epoch: [24] [3450/5278] eta: 1:19:06 lr: 2.111133051755648e-05 loss: 0.0395 (0.0513) loss_seg: 0.0420 (0.0552) loss_lansim: 0.0792 (0.0800) loss_contra: 0.0000 (0.0045) time: 2.5821 data: 0.0025 max mem: 31671 Epoch: [24] [3460/5278] eta: 1:18:40 lr: 2.110898471280315e-05 loss: 0.0425 (0.0513) loss_seg: 0.0432 (0.0552) loss_lansim: 0.0792 (0.0801) loss_contra: 0.0000 (0.0045) time: 2.5868 data: 0.0025 max mem: 31671 Epoch: [24] [3470/5278] eta: 1:18:14 lr: 2.1106638879084426e-05 loss: 0.0416 (0.0513) loss_seg: 0.0432 (0.0552) loss_lansim: 0.0792 (0.0801) loss_contra: 0.0001 (0.0045) time: 2.5806 data: 0.0025 max mem: 31671 Epoch: [24] [3480/5278] eta: 1:17:48 lr: 2.110429301639639e-05 loss: 0.0392 (0.0513) loss_seg: 0.0423 (0.0551) loss_lansim: 0.0783 (0.0801) loss_contra: 0.0000 (0.0045) time: 2.5913 data: 0.0025 max mem: 31671 Epoch: [24] [3490/5278] eta: 1:17:23 lr: 2.1101947124735106e-05 loss: 0.0408 (0.0513) loss_seg: 0.0430 (0.0552) loss_lansim: 0.0783 (0.0801) loss_contra: 0.0000 (0.0045) time: 2.6102 data: 0.0025 max mem: 31671 Epoch: [24] [3500/5278] eta: 1:16:57 lr: 2.109960120409663e-05 loss: 0.0408 (0.0513) loss_seg: 0.0429 (0.0552) loss_lansim: 0.0794 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6070 data: 0.0026 max mem: 31671 Epoch: [24] [3510/5278] eta: 1:16:31 lr: 2.1097255254477035e-05 loss: 0.0408 (0.0513) loss_seg: 0.0436 (0.0552) loss_lansim: 0.0805 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6126 data: 0.0026 max mem: 31671 Epoch: [24] [3520/5278] eta: 1:16:05 lr: 2.1094909275872375e-05 loss: 0.0415 (0.0513) loss_seg: 0.0453 (0.0552) loss_lansim: 0.0813 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6256 data: 0.0026 max mem: 31671 Epoch: [24] [3530/5278] eta: 1:15:39 lr: 2.109256326827871e-05 loss: 0.0437 (0.0513) loss_seg: 0.0467 (0.0552) loss_lansim: 0.0813 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6330 data: 0.0026 max mem: 31671 Epoch: [24] [3540/5278] eta: 1:15:14 lr: 2.1090217231692097e-05 loss: 0.0415 (0.0512) loss_seg: 0.0453 (0.0551) loss_lansim: 0.0808 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6333 data: 0.0026 max mem: 31671 Epoch: [24] [3550/5278] eta: 1:14:48 lr: 2.1087871166108605e-05 loss: 0.0429 (0.0512) loss_seg: 0.0456 (0.0551) loss_lansim: 0.0814 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6388 data: 0.0026 max mem: 31671 Epoch: [24] [3560/5278] eta: 1:14:22 lr: 2.1085525071524277e-05 loss: 0.0429 (0.0513) loss_seg: 0.0467 (0.0551) loss_lansim: 0.0814 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6393 data: 0.0027 max mem: 31671 Epoch: [24] [3570/5278] eta: 1:13:56 lr: 2.108317894793518e-05 loss: 0.0417 (0.0512) loss_seg: 0.0458 (0.0551) loss_lansim: 0.0808 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6409 data: 0.0026 max mem: 31671 Epoch: [24] [3580/5278] eta: 1:13:30 lr: 2.1080832795337358e-05 loss: 0.0442 (0.0513) loss_seg: 0.0480 (0.0552) loss_lansim: 0.0821 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6293 data: 0.0026 max mem: 31671 Epoch: [24] [3590/5278] eta: 1:13:04 lr: 2.107848661372688e-05 loss: 0.0443 (0.0513) loss_seg: 0.0487 (0.0552) loss_lansim: 0.0816 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6182 data: 0.0026 max mem: 31671 Epoch: [24] [3600/5278] eta: 1:12:38 lr: 2.107614040309979e-05 loss: 0.0461 (0.0514) loss_seg: 0.0505 (0.0552) loss_lansim: 0.0817 (0.0801) loss_contra: 0.0001 (0.0044) time: 2.6218 data: 0.0026 max mem: 31671 Epoch: [24] [3610/5278] eta: 1:12:12 lr: 2.1073794163452136e-05 loss: 0.0449 (0.0514) loss_seg: 0.0488 (0.0552) loss_lansim: 0.0816 (0.0801) loss_contra: 0.0001 (0.0044) time: 2.6202 data: 0.0026 max mem: 31671 Epoch: [24] [3620/5278] eta: 1:11:47 lr: 2.1071447894779976e-05 loss: 0.0449 (0.0514) loss_seg: 0.0488 (0.0552) loss_lansim: 0.0814 (0.0801) loss_contra: 0.0001 (0.0044) time: 2.6193 data: 0.0026 max mem: 31671 Epoch: [24] [3630/5278] eta: 1:11:20 lr: 2.106910159707936e-05 loss: 0.0430 (0.0513) loss_seg: 0.0473 (0.0552) loss_lansim: 0.0812 (0.0801) loss_contra: 0.0000 (0.0044) time: 2.6113 data: 0.0026 max mem: 31671 Epoch: [24] [3640/5278] eta: 1:10:55 lr: 2.1066755270346333e-05 loss: 0.0458 (0.0513) loss_seg: 0.0496 (0.0552) loss_lansim: 0.0814 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.6112 data: 0.0026 max mem: 31671 Epoch: [24] [3650/5278] eta: 1:10:29 lr: 2.106440891457694e-05 loss: 0.0450 (0.0513) loss_seg: 0.0490 (0.0552) loss_lansim: 0.0817 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.6076 data: 0.0026 max mem: 31671 Epoch: [24] [3660/5278] eta: 1:10:03 lr: 2.106206252976724e-05 loss: 0.0445 (0.0513) loss_seg: 0.0488 (0.0552) loss_lansim: 0.0813 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.6050 data: 0.0026 max mem: 31671 Epoch: [24] [3670/5278] eta: 1:09:36 lr: 2.105971611591327e-05 loss: 0.0450 (0.0513) loss_seg: 0.0490 (0.0552) loss_lansim: 0.0816 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.5984 data: 0.0026 max mem: 31671 Epoch: [24] [3680/5278] eta: 1:09:10 lr: 2.1057369673011073e-05 loss: 0.0444 (0.0513) loss_seg: 0.0486 (0.0552) loss_lansim: 0.0812 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [24] [3690/5278] eta: 1:08:44 lr: 2.1055023201056694e-05 loss: 0.0419 (0.0513) loss_seg: 0.0455 (0.0551) loss_lansim: 0.0817 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.5921 data: 0.0026 max mem: 31671 Epoch: [24] [3700/5278] eta: 1:08:18 lr: 2.1052676700046182e-05 loss: 0.0413 (0.0513) loss_seg: 0.0441 (0.0552) loss_lansim: 0.0831 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.5891 data: 0.0025 max mem: 31671 Epoch: [24] [3710/5278] eta: 1:07:52 lr: 2.1050330169975578e-05 loss: 0.0407 (0.0512) loss_seg: 0.0441 (0.0551) loss_lansim: 0.0817 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.5814 data: 0.0025 max mem: 31671 Epoch: [24] [3720/5278] eta: 1:07:26 lr: 2.1047983610840913e-05 loss: 0.0430 (0.0513) loss_seg: 0.0446 (0.0551) loss_lansim: 0.0829 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.5747 data: 0.0025 max mem: 31671 Epoch: [24] [3730/5278] eta: 1:07:00 lr: 2.104563702263823e-05 loss: 0.0430 (0.0512) loss_seg: 0.0462 (0.0551) loss_lansim: 0.0828 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.5890 data: 0.0025 max mem: 31671 Epoch: [24] [3740/5278] eta: 1:06:34 lr: 2.1043290405363573e-05 loss: 0.0430 (0.0513) loss_seg: 0.0462 (0.0552) loss_lansim: 0.0828 (0.0802) loss_contra: 0.0000 (0.0043) time: 2.5824 data: 0.0025 max mem: 31671 Epoch: [24] [3750/5278] eta: 1:06:08 lr: 2.1040943759012978e-05 loss: 0.0430 (0.0513) loss_seg: 0.0461 (0.0552) loss_lansim: 0.0828 (0.0803) loss_contra: 0.0001 (0.0043) time: 2.5852 data: 0.0025 max mem: 31671 Epoch: [24] [3760/5278] eta: 1:05:43 lr: 2.1038597083582484e-05 loss: 0.0407 (0.0513) loss_seg: 0.0432 (0.0551) loss_lansim: 0.0828 (0.0802) loss_contra: 0.0001 (0.0043) time: 2.5865 data: 0.0024 max mem: 31671 Epoch: [24] [3770/5278] eta: 1:05:17 lr: 2.103625037906812e-05 loss: 0.0417 (0.0513) loss_seg: 0.0437 (0.0552) loss_lansim: 0.0825 (0.0802) loss_contra: 0.0001 (0.0043) time: 2.5963 data: 0.0025 max mem: 31671 Epoch: [24] [3780/5278] eta: 1:04:51 lr: 2.103390364546592e-05 loss: 0.0419 (0.0513) loss_seg: 0.0445 (0.0552) loss_lansim: 0.0828 (0.0803) loss_contra: 0.0001 (0.0043) time: 2.6065 data: 0.0025 max mem: 31671 Epoch: [24] [3790/5278] eta: 1:04:25 lr: 2.103155688277192e-05 loss: 0.0436 (0.0513) loss_seg: 0.0473 (0.0552) loss_lansim: 0.0811 (0.0803) loss_contra: 0.0001 (0.0042) time: 2.6070 data: 0.0025 max mem: 31671 Epoch: [24] [3800/5278] eta: 1:03:59 lr: 2.1029210090982163e-05 loss: 0.0432 (0.0513) loss_seg: 0.0466 (0.0552) loss_lansim: 0.0808 (0.0803) loss_contra: 0.0001 (0.0042) time: 2.6086 data: 0.0025 max mem: 31671 Epoch: [24] [3810/5278] eta: 1:03:33 lr: 2.1026863270092663e-05 loss: 0.0433 (0.0513) loss_seg: 0.0473 (0.0552) loss_lansim: 0.0809 (0.0803) loss_contra: 0.0001 (0.0043) time: 2.6175 data: 0.0025 max mem: 31671 Epoch: [24] [3820/5278] eta: 1:03:07 lr: 2.1024516420099457e-05 loss: 0.0438 (0.0513) loss_seg: 0.0476 (0.0552) loss_lansim: 0.0809 (0.0803) loss_contra: 0.0001 (0.0043) time: 2.6121 data: 0.0025 max mem: 31671 Epoch: [24] [3830/5278] eta: 1:02:41 lr: 2.102216954099858e-05 loss: 0.0433 (0.0513) loss_seg: 0.0473 (0.0552) loss_lansim: 0.0812 (0.0803) loss_contra: 0.0001 (0.0043) time: 2.5989 data: 0.0025 max mem: 31671 Epoch: [24] [3840/5278] eta: 1:02:15 lr: 2.1019822632786058e-05 loss: 0.0436 (0.0513) loss_seg: 0.0473 (0.0552) loss_lansim: 0.0813 (0.0803) loss_contra: 0.0001 (0.0042) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [24] [3850/5278] eta: 1:01:49 lr: 2.1017475695457907e-05 loss: 0.0444 (0.0513) loss_seg: 0.0473 (0.0552) loss_lansim: 0.0813 (0.0803) loss_contra: 0.0001 (0.0042) time: 2.5992 data: 0.0026 max mem: 31671 Epoch: [24] [3860/5278] eta: 1:01:22 lr: 2.101512872901017e-05 loss: 0.0466 (0.0513) loss_seg: 0.0498 (0.0552) loss_lansim: 0.0818 (0.0803) loss_contra: 0.0001 (0.0042) time: 2.5878 data: 0.0026 max mem: 31671 Epoch: [24] [3870/5278] eta: 1:00:56 lr: 2.101278173343886e-05 loss: 0.0457 (0.0513) loss_seg: 0.0488 (0.0552) loss_lansim: 0.0824 (0.0803) loss_contra: 0.0001 (0.0042) time: 2.5852 data: 0.0026 max mem: 31671 Epoch: [24] [3880/5278] eta: 1:00:30 lr: 2.1010434708740013e-05 loss: 0.0444 (0.0512) loss_seg: 0.0466 (0.0551) loss_lansim: 0.0818 (0.0804) loss_contra: 0.0000 (0.0042) time: 2.5754 data: 0.0026 max mem: 31671 Epoch: [24] [3890/5278] eta: 1:00:04 lr: 2.1008087654909636e-05 loss: 0.0415 (0.0512) loss_seg: 0.0451 (0.0551) loss_lansim: 0.0827 (0.0804) loss_contra: 0.0000 (0.0042) time: 2.5762 data: 0.0026 max mem: 31671 Epoch: [24] [3900/5278] eta: 0:59:38 lr: 2.1005740571943762e-05 loss: 0.0410 (0.0512) loss_seg: 0.0435 (0.0551) loss_lansim: 0.0828 (0.0804) loss_contra: 0.0000 (0.0042) time: 2.5805 data: 0.0026 max mem: 31671 Epoch: [24] [3910/5278] eta: 0:59:12 lr: 2.1003393459838412e-05 loss: 0.0415 (0.0512) loss_seg: 0.0452 (0.0551) loss_lansim: 0.0842 (0.0804) loss_contra: 0.0001 (0.0042) time: 2.5749 data: 0.0026 max mem: 31671 Epoch: [24] [3920/5278] eta: 0:58:47 lr: 2.1001046318589607e-05 loss: 0.0399 (0.0512) loss_seg: 0.0424 (0.0551) loss_lansim: 0.0827 (0.0804) loss_contra: 0.0001 (0.0042) time: 2.5897 data: 0.0026 max mem: 31671 Epoch: [24] [3930/5278] eta: 0:58:21 lr: 2.0998699148193357e-05 loss: 0.0410 (0.0512) loss_seg: 0.0424 (0.0551) loss_lansim: 0.0821 (0.0804) loss_contra: 0.0001 (0.0042) time: 2.5970 data: 0.0025 max mem: 31671 Epoch: [24] [3940/5278] eta: 0:57:55 lr: 2.0996351948645686e-05 loss: 0.0386 (0.0512) loss_seg: 0.0416 (0.0551) loss_lansim: 0.0825 (0.0804) loss_contra: 0.0000 (0.0042) time: 2.5953 data: 0.0025 max mem: 31671 Epoch: [24] [3950/5278] eta: 0:57:29 lr: 2.0994004719942613e-05 loss: 0.0379 (0.0512) loss_seg: 0.0406 (0.0551) loss_lansim: 0.0824 (0.0804) loss_contra: 0.0001 (0.0042) time: 2.5929 data: 0.0025 max mem: 31671 Epoch: [24] [3960/5278] eta: 0:57:03 lr: 2.0991657462080156e-05 loss: 0.0379 (0.0512) loss_seg: 0.0409 (0.0550) loss_lansim: 0.0824 (0.0805) loss_contra: 0.0001 (0.0042) time: 2.6032 data: 0.0025 max mem: 31671 Epoch: [24] [3970/5278] eta: 0:56:37 lr: 2.0989310175054317e-05 loss: 0.0411 (0.0512) loss_seg: 0.0438 (0.0551) loss_lansim: 0.0815 (0.0804) loss_contra: 0.0001 (0.0042) time: 2.6077 data: 0.0025 max mem: 31671 Epoch: [24] [3980/5278] eta: 0:56:11 lr: 2.098696285886112e-05 loss: 0.0411 (0.0512) loss_seg: 0.0451 (0.0551) loss_lansim: 0.0815 (0.0805) loss_contra: 0.0001 (0.0042) time: 2.6064 data: 0.0025 max mem: 31671 Epoch: [24] [3990/5278] eta: 0:55:45 lr: 2.0984615513496577e-05 loss: 0.0420 (0.0512) loss_seg: 0.0461 (0.0551) loss_lansim: 0.0815 (0.0805) loss_contra: 0.0000 (0.0042) time: 2.6092 data: 0.0025 max mem: 31671 Epoch: [24] [4000/5278] eta: 0:55:19 lr: 2.0982268138956697e-05 loss: 0.0420 (0.0512) loss_seg: 0.0461 (0.0551) loss_lansim: 0.0811 (0.0805) loss_contra: 0.0001 (0.0042) time: 2.6048 data: 0.0025 max mem: 31671 Epoch: [24] [4010/5278] eta: 0:54:53 lr: 2.09799207352375e-05 loss: 0.0418 (0.0512) loss_seg: 0.0455 (0.0551) loss_lansim: 0.0815 (0.0805) loss_contra: 0.0000 (0.0042) time: 2.5990 data: 0.0025 max mem: 31671 Epoch: [24] [4020/5278] eta: 0:54:27 lr: 2.0977573302334983e-05 loss: 0.0418 (0.0514) loss_seg: 0.0460 (0.0552) loss_lansim: 0.0827 (0.0805) loss_contra: 0.0001 (0.0042) time: 2.5998 data: 0.0025 max mem: 31671 Epoch: [24] [4030/5278] eta: 0:54:01 lr: 2.0975225840245154e-05 loss: 0.0421 (0.0514) loss_seg: 0.0463 (0.0553) loss_lansim: 0.0848 (0.0805) loss_contra: 0.0001 (0.0042) time: 2.5886 data: 0.0025 max mem: 31671 Epoch: [24] [4040/5278] eta: 0:53:35 lr: 2.0972878348964032e-05 loss: 0.0443 (0.0514) loss_seg: 0.0484 (0.0553) loss_lansim: 0.0844 (0.0806) loss_contra: 0.0001 (0.0042) time: 2.5892 data: 0.0025 max mem: 31671 Epoch: [24] [4050/5278] eta: 0:53:09 lr: 2.097053082848762e-05 loss: 0.0440 (0.0514) loss_seg: 0.0480 (0.0553) loss_lansim: 0.0844 (0.0806) loss_contra: 0.0001 (0.0042) time: 2.5873 data: 0.0025 max mem: 31671 Epoch: [24] [4060/5278] eta: 0:52:43 lr: 2.0968183278811917e-05 loss: 0.0443 (0.0514) loss_seg: 0.0476 (0.0553) loss_lansim: 0.0849 (0.0806) loss_contra: 0.0001 (0.0042) time: 2.5852 data: 0.0025 max mem: 31671 Epoch: [24] [4070/5278] eta: 0:52:17 lr: 2.0965835699932927e-05 loss: 0.0434 (0.0514) loss_seg: 0.0467 (0.0553) loss_lansim: 0.0850 (0.0806) loss_contra: 0.0002 (0.0042) time: 2.5877 data: 0.0026 max mem: 31671 Epoch: [24] [4080/5278] eta: 0:51:51 lr: 2.0963488091846663e-05 loss: 0.0445 (0.0515) loss_seg: 0.0484 (0.0553) loss_lansim: 0.0848 (0.0806) loss_contra: 0.0001 (0.0042) time: 2.5943 data: 0.0025 max mem: 31671 Epoch: [24] [4090/5278] eta: 0:51:25 lr: 2.0961140454549126e-05 loss: 0.0445 (0.0515) loss_seg: 0.0484 (0.0553) loss_lansim: 0.0848 (0.0806) loss_contra: 0.0001 (0.0042) time: 2.5903 data: 0.0025 max mem: 31671 Epoch: [24] [4100/5278] eta: 0:50:59 lr: 2.0958792788036308e-05 loss: 0.0445 (0.0515) loss_seg: 0.0484 (0.0554) loss_lansim: 0.0856 (0.0806) loss_contra: 0.0001 (0.0042) time: 2.5945 data: 0.0025 max mem: 31671 Epoch: [24] [4110/5278] eta: 0:50:33 lr: 2.0956445092304214e-05 loss: 0.0445 (0.0516) loss_seg: 0.0492 (0.0554) loss_lansim: 0.0856 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5942 data: 0.0025 max mem: 31671 Epoch: [24] [4120/5278] eta: 0:50:07 lr: 2.0954097367348843e-05 loss: 0.0466 (0.0516) loss_seg: 0.0492 (0.0555) loss_lansim: 0.0867 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5765 data: 0.0025 max mem: 31671 Epoch: [24] [4130/5278] eta: 0:49:41 lr: 2.09517496131662e-05 loss: 0.0446 (0.0516) loss_seg: 0.0492 (0.0555) loss_lansim: 0.0860 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5870 data: 0.0025 max mem: 31671 Epoch: [24] [4140/5278] eta: 0:49:15 lr: 2.094940182975227e-05 loss: 0.0435 (0.0516) loss_seg: 0.0476 (0.0555) loss_lansim: 0.0844 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5855 data: 0.0025 max mem: 31671 Epoch: [24] [4150/5278] eta: 0:48:49 lr: 2.0947054017103054e-05 loss: 0.0476 (0.0516) loss_seg: 0.0492 (0.0554) loss_lansim: 0.0840 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5912 data: 0.0025 max mem: 31671 Epoch: [24] [4160/5278] eta: 0:48:23 lr: 2.094470617521455e-05 loss: 0.0479 (0.0516) loss_seg: 0.0529 (0.0554) loss_lansim: 0.0837 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5805 data: 0.0025 max mem: 31671 Epoch: [24] [4170/5278] eta: 0:47:57 lr: 2.0942358304082754e-05 loss: 0.0424 (0.0515) loss_seg: 0.0460 (0.0554) loss_lansim: 0.0825 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5876 data: 0.0025 max mem: 31671 Epoch: [24] [4180/5278] eta: 0:47:31 lr: 2.094001040370365e-05 loss: 0.0435 (0.0516) loss_seg: 0.0458 (0.0554) loss_lansim: 0.0826 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5873 data: 0.0025 max mem: 31671 Epoch: [24] [4190/5278] eta: 0:47:05 lr: 2.0937662474073235e-05 loss: 0.0416 (0.0515) loss_seg: 0.0444 (0.0554) loss_lansim: 0.0825 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5859 data: 0.0026 max mem: 31671 Epoch: [24] [4200/5278] eta: 0:46:39 lr: 2.09353145151875e-05 loss: 0.0436 (0.0516) loss_seg: 0.0478 (0.0555) loss_lansim: 0.0817 (0.0807) loss_contra: 0.0001 (0.0042) time: 2.5820 data: 0.0026 max mem: 31671 Epoch: [24] [4210/5278] eta: 0:46:13 lr: 2.0932966527042438e-05 loss: 0.0447 (0.0516) loss_seg: 0.0487 (0.0555) loss_lansim: 0.0811 (0.0807) loss_contra: 0.0001 (0.0041) time: 2.5832 data: 0.0026 max mem: 31671 Epoch: [24] [4220/5278] eta: 0:45:47 lr: 2.0930618509634027e-05 loss: 0.0461 (0.0517) loss_seg: 0.0502 (0.0555) loss_lansim: 0.0810 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5917 data: 0.0026 max mem: 31671 Epoch: [24] [4230/5278] eta: 0:45:21 lr: 2.0928270462958267e-05 loss: 0.0463 (0.0517) loss_seg: 0.0509 (0.0555) loss_lansim: 0.0810 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5909 data: 0.0025 max mem: 31671 Epoch: [24] [4240/5278] eta: 0:44:55 lr: 2.092592238701113e-05 loss: 0.0479 (0.0516) loss_seg: 0.0509 (0.0555) loss_lansim: 0.0811 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5880 data: 0.0026 max mem: 31671 Epoch: [24] [4250/5278] eta: 0:44:29 lr: 2.092357428178862e-05 loss: 0.0461 (0.0517) loss_seg: 0.0502 (0.0555) loss_lansim: 0.0822 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5829 data: 0.0026 max mem: 31671 Epoch: [24] [4260/5278] eta: 0:44:03 lr: 2.0921226147286714e-05 loss: 0.0461 (0.0517) loss_seg: 0.0490 (0.0555) loss_lansim: 0.0822 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5884 data: 0.0026 max mem: 31671 Epoch: [24] [4270/5278] eta: 0:43:37 lr: 2.0918877983501388e-05 loss: 0.0477 (0.0516) loss_seg: 0.0502 (0.0555) loss_lansim: 0.0826 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [24] [4280/5278] eta: 0:43:11 lr: 2.091652979042863e-05 loss: 0.0463 (0.0517) loss_seg: 0.0490 (0.0555) loss_lansim: 0.0836 (0.0808) loss_contra: 0.0000 (0.0041) time: 2.5773 data: 0.0025 max mem: 31671 Epoch: [24] [4290/5278] eta: 0:42:45 lr: 2.091418156806442e-05 loss: 0.0477 (0.0516) loss_seg: 0.0502 (0.0555) loss_lansim: 0.0834 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5752 data: 0.0025 max mem: 31671 Epoch: [24] [4300/5278] eta: 0:42:19 lr: 2.091183331640475e-05 loss: 0.0442 (0.0517) loss_seg: 0.0481 (0.0555) loss_lansim: 0.0836 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5701 data: 0.0026 max mem: 31671 Epoch: [24] [4310/5278] eta: 0:41:53 lr: 2.0909485035445574e-05 loss: 0.0432 (0.0517) loss_seg: 0.0475 (0.0555) loss_lansim: 0.0834 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5706 data: 0.0026 max mem: 31671 Epoch: [24] [4320/5278] eta: 0:41:27 lr: 2.0907136725182894e-05 loss: 0.0435 (0.0517) loss_seg: 0.0476 (0.0556) loss_lansim: 0.0822 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5706 data: 0.0026 max mem: 31671 Epoch: [24] [4330/5278] eta: 0:41:01 lr: 2.090478838561267e-05 loss: 0.0432 (0.0517) loss_seg: 0.0475 (0.0556) loss_lansim: 0.0832 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5637 data: 0.0026 max mem: 31671 Epoch: [24] [4340/5278] eta: 0:40:35 lr: 2.09024400167309e-05 loss: 0.0435 (0.0517) loss_seg: 0.0476 (0.0556) loss_lansim: 0.0822 (0.0807) loss_contra: 0.0000 (0.0041) time: 2.5667 data: 0.0025 max mem: 31671 Epoch: [24] [4350/5278] eta: 0:40:09 lr: 2.0900091618533537e-05 loss: 0.0442 (0.0517) loss_seg: 0.0481 (0.0556) loss_lansim: 0.0822 (0.0807) loss_contra: 0.0000 (0.0040) time: 2.5742 data: 0.0025 max mem: 31671 Epoch: [24] [4360/5278] eta: 0:39:43 lr: 2.089774319101656e-05 loss: 0.0435 (0.0517) loss_seg: 0.0476 (0.0556) loss_lansim: 0.0815 (0.0807) loss_contra: 0.0000 (0.0040) time: 2.5778 data: 0.0025 max mem: 31671 Epoch: [24] [4370/5278] eta: 0:39:17 lr: 2.0895394734175948e-05 loss: 0.0464 (0.0517) loss_seg: 0.0497 (0.0556) loss_lansim: 0.0810 (0.0807) loss_contra: 0.0000 (0.0040) time: 2.5873 data: 0.0025 max mem: 31671 Epoch: [24] [4380/5278] eta: 0:38:51 lr: 2.0893046248007676e-05 loss: 0.0484 (0.0518) loss_seg: 0.0502 (0.0556) loss_lansim: 0.0812 (0.0808) loss_contra: 0.0000 (0.0041) time: 2.5722 data: 0.0025 max mem: 31671 Epoch: [24] [4390/5278] eta: 0:38:25 lr: 2.0890697732507704e-05 loss: 0.0484 (0.0518) loss_seg: 0.0499 (0.0556) loss_lansim: 0.0808 (0.0807) loss_contra: 0.0000 (0.0042) time: 2.5810 data: 0.0025 max mem: 31671 Epoch: [24] [4400/5278] eta: 0:37:59 lr: 2.0888349187672003e-05 loss: 0.0499 (0.0518) loss_seg: 0.0515 (0.0556) loss_lansim: 0.0810 (0.0808) loss_contra: 0.0000 (0.0042) time: 2.5804 data: 0.0025 max mem: 31671 Epoch: [24] [4410/5278] eta: 0:37:33 lr: 2.088600061349655e-05 loss: 0.0508 (0.0518) loss_seg: 0.0534 (0.0556) loss_lansim: 0.0810 (0.0808) loss_contra: 0.0001 (0.0043) time: 2.5811 data: 0.0025 max mem: 31671 Epoch: [24] [4420/5278] eta: 0:37:07 lr: 2.0883652009977313e-05 loss: 0.0498 (0.0518) loss_seg: 0.0523 (0.0557) loss_lansim: 0.0811 (0.0807) loss_contra: 0.0000 (0.0043) time: 2.5867 data: 0.0025 max mem: 31671 Epoch: [24] [4430/5278] eta: 0:36:41 lr: 2.0881303377110243e-05 loss: 0.0489 (0.0518) loss_seg: 0.0519 (0.0556) loss_lansim: 0.0810 (0.0808) loss_contra: 0.0001 (0.0043) time: 2.5874 data: 0.0025 max mem: 31671 Epoch: [24] [4440/5278] eta: 0:36:15 lr: 2.087895471489132e-05 loss: 0.0489 (0.0518) loss_seg: 0.0519 (0.0557) loss_lansim: 0.0818 (0.0808) loss_contra: 0.0001 (0.0043) time: 2.5863 data: 0.0025 max mem: 31671 Epoch: [24] [4450/5278] eta: 0:35:49 lr: 2.08766060233165e-05 loss: 0.0484 (0.0518) loss_seg: 0.0514 (0.0557) loss_lansim: 0.0818 (0.0808) loss_contra: 0.0001 (0.0042) time: 2.5856 data: 0.0025 max mem: 31671 Epoch: [24] [4460/5278] eta: 0:35:23 lr: 2.087425730238176e-05 loss: 0.0466 (0.0518) loss_seg: 0.0511 (0.0557) loss_lansim: 0.0821 (0.0808) loss_contra: 0.0001 (0.0044) time: 2.5919 data: 0.0025 max mem: 31671 Epoch: [24] [4470/5278] eta: 0:34:57 lr: 2.087190855208305e-05 loss: 0.0456 (0.0518) loss_seg: 0.0496 (0.0556) loss_lansim: 0.0821 (0.0808) loss_contra: 0.0001 (0.0043) time: 2.5901 data: 0.0025 max mem: 31671 Epoch: [24] [4480/5278] eta: 0:34:31 lr: 2.0869559772416326e-05 loss: 0.0418 (0.0517) loss_seg: 0.0444 (0.0556) loss_lansim: 0.0813 (0.0808) loss_contra: 0.0001 (0.0043) time: 2.6007 data: 0.0025 max mem: 31671 Epoch: [24] [4490/5278] eta: 0:34:05 lr: 2.086721096337756e-05 loss: 0.0427 (0.0517) loss_seg: 0.0459 (0.0556) loss_lansim: 0.0822 (0.0808) loss_contra: 0.0001 (0.0043) time: 2.6026 data: 0.0025 max mem: 31671 Epoch: [24] [4500/5278] eta: 0:33:39 lr: 2.086486212496271e-05 loss: 0.0416 (0.0517) loss_seg: 0.0444 (0.0556) loss_lansim: 0.0813 (0.0808) loss_contra: 0.0001 (0.0043) time: 2.6081 data: 0.0026 max mem: 31671 Epoch: [24] [4510/5278] eta: 0:33:13 lr: 2.086251325716774e-05 loss: 0.0398 (0.0517) loss_seg: 0.0420 (0.0555) loss_lansim: 0.0821 (0.0808) loss_contra: 0.0001 (0.0043) time: 2.6042 data: 0.0026 max mem: 31671 Epoch: [24] [4520/5278] eta: 0:32:47 lr: 2.0860164359988588e-05 loss: 0.0390 (0.0517) loss_seg: 0.0417 (0.0555) loss_lansim: 0.0828 (0.0809) loss_contra: 0.0001 (0.0043) time: 2.5940 data: 0.0026 max mem: 31671 Epoch: [24] [4530/5278] eta: 0:32:21 lr: 2.0857815433421223e-05 loss: 0.0407 (0.0517) loss_seg: 0.0437 (0.0555) loss_lansim: 0.0818 (0.0809) loss_contra: 0.0001 (0.0043) time: 2.5944 data: 0.0026 max mem: 31671 Epoch: [24] [4540/5278] eta: 0:31:55 lr: 2.0855466477461597e-05 loss: 0.0407 (0.0517) loss_seg: 0.0428 (0.0555) loss_lansim: 0.0805 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5993 data: 0.0026 max mem: 31671 Epoch: [24] [4550/5278] eta: 0:31:29 lr: 2.085311749210567e-05 loss: 0.0430 (0.0517) loss_seg: 0.0459 (0.0556) loss_lansim: 0.0806 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [24] [4560/5278] eta: 0:31:03 lr: 2.0850768477349384e-05 loss: 0.0420 (0.0517) loss_seg: 0.0454 (0.0556) loss_lansim: 0.0804 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5837 data: 0.0026 max mem: 31671 Epoch: [24] [4570/5278] eta: 0:30:37 lr: 2.0848419433188696e-05 loss: 0.0430 (0.0517) loss_seg: 0.0459 (0.0556) loss_lansim: 0.0811 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5852 data: 0.0026 max mem: 31671 Epoch: [24] [4580/5278] eta: 0:30:11 lr: 2.084607035961956e-05 loss: 0.0430 (0.0517) loss_seg: 0.0459 (0.0555) loss_lansim: 0.0813 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5780 data: 0.0026 max mem: 31671 Epoch: [24] [4590/5278] eta: 0:29:45 lr: 2.084372125663792e-05 loss: 0.0430 (0.0517) loss_seg: 0.0457 (0.0555) loss_lansim: 0.0800 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5701 data: 0.0026 max mem: 31671 Epoch: [24] [4600/5278] eta: 0:29:19 lr: 2.0841372124239727e-05 loss: 0.0433 (0.0517) loss_seg: 0.0474 (0.0555) loss_lansim: 0.0815 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5728 data: 0.0025 max mem: 31671 Epoch: [24] [4610/5278] eta: 0:28:53 lr: 2.0839022962420927e-05 loss: 0.0432 (0.0516) loss_seg: 0.0469 (0.0555) loss_lansim: 0.0809 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5718 data: 0.0026 max mem: 31671 Epoch: [24] [4620/5278] eta: 0:28:27 lr: 2.0836673771177467e-05 loss: 0.0433 (0.0516) loss_seg: 0.0474 (0.0555) loss_lansim: 0.0809 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5745 data: 0.0026 max mem: 31671 Epoch: [24] [4630/5278] eta: 0:28:01 lr: 2.0834324550505297e-05 loss: 0.0432 (0.0517) loss_seg: 0.0469 (0.0555) loss_lansim: 0.0814 (0.0809) loss_contra: 0.0000 (0.0043) time: 2.5813 data: 0.0026 max mem: 31671 Epoch: [24] [4640/5278] eta: 0:27:35 lr: 2.083197530040035e-05 loss: 0.0419 (0.0517) loss_seg: 0.0456 (0.0555) loss_lansim: 0.0818 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5769 data: 0.0026 max mem: 31671 Epoch: [24] [4650/5278] eta: 0:27:09 lr: 2.0829626020858585e-05 loss: 0.0402 (0.0516) loss_seg: 0.0434 (0.0555) loss_lansim: 0.0813 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5820 data: 0.0025 max mem: 31671 Epoch: [24] [4660/5278] eta: 0:26:44 lr: 2.082727671187593e-05 loss: 0.0406 (0.0516) loss_seg: 0.0442 (0.0555) loss_lansim: 0.0813 (0.0809) loss_contra: 0.0001 (0.0042) time: 2.5929 data: 0.0025 max mem: 31671 Epoch: [24] [4670/5278] eta: 0:26:18 lr: 2.0824927373448334e-05 loss: 0.0406 (0.0516) loss_seg: 0.0443 (0.0555) loss_lansim: 0.0810 (0.0809) loss_contra: 0.0001 (0.0042) time: 2.5825 data: 0.0026 max mem: 31671 Epoch: [24] [4680/5278] eta: 0:25:52 lr: 2.082257800557173e-05 loss: 0.0406 (0.0516) loss_seg: 0.0443 (0.0555) loss_lansim: 0.0810 (0.0809) loss_contra: 0.0001 (0.0042) time: 2.5869 data: 0.0026 max mem: 31671 Epoch: [24] [4690/5278] eta: 0:25:26 lr: 2.0820228608242065e-05 loss: 0.0413 (0.0516) loss_seg: 0.0446 (0.0555) loss_lansim: 0.0810 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5876 data: 0.0025 max mem: 31671 Epoch: [24] [4700/5278] eta: 0:25:00 lr: 2.0817879181455273e-05 loss: 0.0435 (0.0516) loss_seg: 0.0478 (0.0555) loss_lansim: 0.0803 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5783 data: 0.0026 max mem: 31671 Epoch: [24] [4710/5278] eta: 0:24:34 lr: 2.0815529725207285e-05 loss: 0.0445 (0.0517) loss_seg: 0.0492 (0.0555) loss_lansim: 0.0803 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5880 data: 0.0025 max mem: 31671 Epoch: [24] [4720/5278] eta: 0:24:08 lr: 2.0813180239494054e-05 loss: 0.0467 (0.0517) loss_seg: 0.0495 (0.0555) loss_lansim: 0.0803 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5899 data: 0.0025 max mem: 31671 Epoch: [24] [4730/5278] eta: 0:23:42 lr: 2.0810830724311496e-05 loss: 0.0473 (0.0517) loss_seg: 0.0516 (0.0555) loss_lansim: 0.0799 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5863 data: 0.0026 max mem: 31671 Epoch: [24] [4740/5278] eta: 0:23:16 lr: 2.080848117965555e-05 loss: 0.0491 (0.0517) loss_seg: 0.0526 (0.0555) loss_lansim: 0.0793 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5828 data: 0.0026 max mem: 31671 Epoch: [24] [4750/5278] eta: 0:22:50 lr: 2.080613160552215e-05 loss: 0.0499 (0.0517) loss_seg: 0.0539 (0.0555) loss_lansim: 0.0802 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5849 data: 0.0026 max mem: 31671 Epoch: [24] [4760/5278] eta: 0:22:24 lr: 2.080378200190724e-05 loss: 0.0491 (0.0516) loss_seg: 0.0530 (0.0555) loss_lansim: 0.0802 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5823 data: 0.0026 max mem: 31671 Epoch: [24] [4770/5278] eta: 0:21:58 lr: 2.080143236880673e-05 loss: 0.0488 (0.0516) loss_seg: 0.0530 (0.0555) loss_lansim: 0.0803 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5865 data: 0.0026 max mem: 31671 Epoch: [24] [4780/5278] eta: 0:21:32 lr: 2.0799082706216552e-05 loss: 0.0488 (0.0516) loss_seg: 0.0526 (0.0555) loss_lansim: 0.0808 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5978 data: 0.0026 max mem: 31671 Epoch: [24] [4790/5278] eta: 0:21:06 lr: 2.0796733014132644e-05 loss: 0.0491 (0.0517) loss_seg: 0.0533 (0.0555) loss_lansim: 0.0810 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5885 data: 0.0026 max mem: 31671 Epoch: [24] [4800/5278] eta: 0:20:40 lr: 2.079438329255093e-05 loss: 0.0452 (0.0516) loss_seg: 0.0497 (0.0555) loss_lansim: 0.0811 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5952 data: 0.0026 max mem: 31671 Epoch: [24] [4810/5278] eta: 0:20:14 lr: 2.0792033541467333e-05 loss: 0.0452 (0.0517) loss_seg: 0.0497 (0.0555) loss_lansim: 0.0811 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5969 data: 0.0026 max mem: 31671 Epoch: [24] [4820/5278] eta: 0:19:48 lr: 2.078968376087778e-05 loss: 0.0452 (0.0517) loss_seg: 0.0497 (0.0555) loss_lansim: 0.0811 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5983 data: 0.0026 max mem: 31671 Epoch: [24] [4830/5278] eta: 0:19:22 lr: 2.0787333950778193e-05 loss: 0.0452 (0.0517) loss_seg: 0.0497 (0.0555) loss_lansim: 0.0825 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.6033 data: 0.0025 max mem: 31671 Epoch: [24] [4840/5278] eta: 0:18:56 lr: 2.07849841111645e-05 loss: 0.0426 (0.0516) loss_seg: 0.0465 (0.0555) loss_lansim: 0.0820 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.6099 data: 0.0025 max mem: 31671 Epoch: [24] [4850/5278] eta: 0:18:30 lr: 2.078263424203262e-05 loss: 0.0424 (0.0516) loss_seg: 0.0460 (0.0555) loss_lansim: 0.0810 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5960 data: 0.0025 max mem: 31671 Epoch: [24] [4860/5278] eta: 0:18:04 lr: 2.0780284343378467e-05 loss: 0.0436 (0.0516) loss_seg: 0.0467 (0.0555) loss_lansim: 0.0800 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5892 data: 0.0025 max mem: 31671 Epoch: [24] [4870/5278] eta: 0:17:38 lr: 2.077793441519797e-05 loss: 0.0431 (0.0516) loss_seg: 0.0470 (0.0555) loss_lansim: 0.0799 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5900 data: 0.0025 max mem: 31671 Epoch: [24] [4880/5278] eta: 0:17:12 lr: 2.0775584457487046e-05 loss: 0.0429 (0.0516) loss_seg: 0.0467 (0.0555) loss_lansim: 0.0796 (0.0809) loss_contra: 0.0000 (0.0042) time: 2.5809 data: 0.0025 max mem: 31671 Epoch: [24] [4890/5278] eta: 0:16:46 lr: 2.0773234470241605e-05 loss: 0.0423 (0.0517) loss_seg: 0.0456 (0.0555) loss_lansim: 0.0800 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5917 data: 0.0025 max mem: 31671 Epoch: [24] [4900/5278] eta: 0:16:20 lr: 2.0770884453457575e-05 loss: 0.0431 (0.0517) loss_seg: 0.0467 (0.0556) loss_lansim: 0.0799 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5888 data: 0.0025 max mem: 31671 Epoch: [24] [4910/5278] eta: 0:15:55 lr: 2.0768534407130858e-05 loss: 0.0429 (0.0517) loss_seg: 0.0464 (0.0555) loss_lansim: 0.0796 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5908 data: 0.0025 max mem: 31671 Epoch: [24] [4920/5278] eta: 0:15:29 lr: 2.076618433125738e-05 loss: 0.0423 (0.0517) loss_seg: 0.0456 (0.0555) loss_lansim: 0.0791 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5884 data: 0.0025 max mem: 31671 Epoch: [24] [4930/5278] eta: 0:15:03 lr: 2.076383422583305e-05 loss: 0.0429 (0.0517) loss_seg: 0.0448 (0.0555) loss_lansim: 0.0791 (0.0809) loss_contra: 0.0001 (0.0042) time: 2.5786 data: 0.0025 max mem: 31671 Epoch: [24] [4940/5278] eta: 0:14:37 lr: 2.0761484090853778e-05 loss: 0.0443 (0.0517) loss_seg: 0.0479 (0.0555) loss_lansim: 0.0796 (0.0809) loss_contra: 0.0001 (0.0042) time: 2.5827 data: 0.0025 max mem: 31671 Epoch: [24] [4950/5278] eta: 0:14:11 lr: 2.0759133926315475e-05 loss: 0.0443 (0.0517) loss_seg: 0.0482 (0.0556) loss_lansim: 0.0801 (0.0809) loss_contra: 0.0001 (0.0041) time: 2.5853 data: 0.0025 max mem: 31671 Epoch: [24] [4960/5278] eta: 0:13:45 lr: 2.075678373221405e-05 loss: 0.0439 (0.0517) loss_seg: 0.0468 (0.0555) loss_lansim: 0.0808 (0.0809) loss_contra: 0.0001 (0.0041) time: 2.5842 data: 0.0025 max mem: 31671 Epoch: [24] [4970/5278] eta: 0:13:19 lr: 2.0754433508545425e-05 loss: 0.0446 (0.0517) loss_seg: 0.0482 (0.0556) loss_lansim: 0.0797 (0.0809) loss_contra: 0.0001 (0.0041) time: 2.5871 data: 0.0025 max mem: 31671 Epoch: [24] [4980/5278] eta: 0:12:53 lr: 2.0752083255305486e-05 loss: 0.0448 (0.0517) loss_seg: 0.0483 (0.0555) loss_lansim: 0.0783 (0.0809) loss_contra: 0.0001 (0.0041) time: 2.5836 data: 0.0025 max mem: 31671 Epoch: [24] [4990/5278] eta: 0:12:27 lr: 2.074973297249015e-05 loss: 0.0461 (0.0517) loss_seg: 0.0483 (0.0556) loss_lansim: 0.0779 (0.0809) loss_contra: 0.0001 (0.0041) time: 2.5856 data: 0.0025 max mem: 31671 Epoch: [24] [5000/5278] eta: 0:12:01 lr: 2.074738266009533e-05 loss: 0.0441 (0.0517) loss_seg: 0.0472 (0.0555) loss_lansim: 0.0784 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5881 data: 0.0026 max mem: 31671 Epoch: [24] [5010/5278] eta: 0:11:35 lr: 2.074503231811692e-05 loss: 0.0461 (0.0518) loss_seg: 0.0482 (0.0556) loss_lansim: 0.0779 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5805 data: 0.0026 max mem: 31671 Epoch: [24] [5020/5278] eta: 0:11:09 lr: 2.074268194655083e-05 loss: 0.0471 (0.0518) loss_seg: 0.0482 (0.0556) loss_lansim: 0.0778 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [24] [5030/5278] eta: 0:10:43 lr: 2.0740331545392955e-05 loss: 0.0471 (0.0518) loss_seg: 0.0474 (0.0556) loss_lansim: 0.0777 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5969 data: 0.0026 max mem: 31671 Epoch: [24] [5040/5278] eta: 0:10:17 lr: 2.0737981114639203e-05 loss: 0.0475 (0.0518) loss_seg: 0.0482 (0.0557) loss_lansim: 0.0778 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5972 data: 0.0026 max mem: 31671 Epoch: [24] [5050/5278] eta: 0:09:51 lr: 2.0735630654285474e-05 loss: 0.0477 (0.0518) loss_seg: 0.0522 (0.0557) loss_lansim: 0.0778 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.6065 data: 0.0026 max mem: 31671 Epoch: [24] [5060/5278] eta: 0:09:25 lr: 2.073328016432766e-05 loss: 0.0480 (0.0518) loss_seg: 0.0524 (0.0557) loss_lansim: 0.0781 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.6106 data: 0.0026 max mem: 31671 Epoch: [24] [5070/5278] eta: 0:08:59 lr: 2.0730929644761663e-05 loss: 0.0475 (0.0518) loss_seg: 0.0496 (0.0557) loss_lansim: 0.0782 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.6104 data: 0.0026 max mem: 31671 Epoch: [24] [5080/5278] eta: 0:08:33 lr: 2.072857909558338e-05 loss: 0.0475 (0.0519) loss_seg: 0.0508 (0.0557) loss_lansim: 0.0790 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.6136 data: 0.0026 max mem: 31671 Epoch: [24] [5090/5278] eta: 0:08:07 lr: 2.0726228516788718e-05 loss: 0.0475 (0.0519) loss_seg: 0.0506 (0.0557) loss_lansim: 0.0784 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.6125 data: 0.0026 max mem: 31671 Epoch: [24] [5100/5278] eta: 0:07:41 lr: 2.0723877908373552e-05 loss: 0.0480 (0.0519) loss_seg: 0.0508 (0.0557) loss_lansim: 0.0782 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.6049 data: 0.0026 max mem: 31671 Epoch: [24] [5110/5278] eta: 0:07:15 lr: 2.0721527270333786e-05 loss: 0.0451 (0.0518) loss_seg: 0.0496 (0.0557) loss_lansim: 0.0790 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.6081 data: 0.0026 max mem: 31671 Epoch: [24] [5120/5278] eta: 0:06:50 lr: 2.0719176602665308e-05 loss: 0.0450 (0.0518) loss_seg: 0.0477 (0.0557) loss_lansim: 0.0796 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [24] [5130/5278] eta: 0:06:24 lr: 2.071682590536402e-05 loss: 0.0475 (0.0519) loss_seg: 0.0506 (0.0558) loss_lansim: 0.0790 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5998 data: 0.0026 max mem: 31671 Epoch: [24] [5140/5278] eta: 0:05:58 lr: 2.07144751784258e-05 loss: 0.0459 (0.0519) loss_seg: 0.0497 (0.0558) loss_lansim: 0.0796 (0.0809) loss_contra: 0.0000 (0.0041) time: 2.5898 data: 0.0026 max mem: 31671 Epoch: [24] [5150/5278] eta: 0:05:32 lr: 2.0712124421846545e-05 loss: 0.0450 (0.0519) loss_seg: 0.0496 (0.0558) loss_lansim: 0.0781 (0.0808) loss_contra: 0.0001 (0.0041) time: 2.5864 data: 0.0026 max mem: 31671 Epoch: [24] [5160/5278] eta: 0:05:06 lr: 2.070977363562214e-05 loss: 0.0444 (0.0519) loss_seg: 0.0477 (0.0558) loss_lansim: 0.0777 (0.0808) loss_contra: 0.0001 (0.0041) time: 2.5851 data: 0.0026 max mem: 31671 Epoch: [24] [5170/5278] eta: 0:04:40 lr: 2.0707422819748472e-05 loss: 0.0446 (0.0519) loss_seg: 0.0490 (0.0558) loss_lansim: 0.0772 (0.0808) loss_contra: 0.0001 (0.0041) time: 2.5779 data: 0.0026 max mem: 31671 Epoch: [24] [5180/5278] eta: 0:04:14 lr: 2.070507197422143e-05 loss: 0.0438 (0.0519) loss_seg: 0.0463 (0.0557) loss_lansim: 0.0769 (0.0808) loss_contra: 0.0001 (0.0041) time: 2.5759 data: 0.0026 max mem: 31671 Epoch: [24] [5190/5278] eta: 0:03:48 lr: 2.0702721099036893e-05 loss: 0.0449 (0.0519) loss_seg: 0.0493 (0.0558) loss_lansim: 0.0766 (0.0808) loss_contra: 0.0001 (0.0041) time: 2.5783 data: 0.0026 max mem: 31671 Epoch: [24] [5200/5278] eta: 0:03:22 lr: 2.070037019419075e-05 loss: 0.0450 (0.0519) loss_seg: 0.0496 (0.0558) loss_lansim: 0.0761 (0.0808) loss_contra: 0.0000 (0.0041) time: 2.5829 data: 0.0026 max mem: 31671 Epoch: [24] [5210/5278] eta: 0:02:56 lr: 2.069801925967888e-05 loss: 0.0486 (0.0519) loss_seg: 0.0522 (0.0558) loss_lansim: 0.0752 (0.0808) loss_contra: 0.0000 (0.0041) time: 2.5854 data: 0.0026 max mem: 31671 Epoch: [24] [5220/5278] eta: 0:02:30 lr: 2.0695668295497173e-05 loss: 0.0487 (0.0519) loss_seg: 0.0522 (0.0558) loss_lansim: 0.0752 (0.0808) loss_contra: 0.0001 (0.0041) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [24] [5230/5278] eta: 0:02:04 lr: 2.0693317301641498e-05 loss: 0.0446 (0.0519) loss_seg: 0.0463 (0.0558) loss_lansim: 0.0744 (0.0808) loss_contra: 0.0001 (0.0041) time: 2.5829 data: 0.0025 max mem: 31671 Epoch: [24] [5240/5278] eta: 0:01:38 lr: 2.0690966278107743e-05 loss: 0.0426 (0.0519) loss_seg: 0.0464 (0.0557) loss_lansim: 0.0739 (0.0808) loss_contra: 0.0000 (0.0041) time: 2.5889 data: 0.0025 max mem: 31671 Epoch: [24] [5250/5278] eta: 0:01:12 lr: 2.068861522489178e-05 loss: 0.0446 (0.0519) loss_seg: 0.0467 (0.0557) loss_lansim: 0.0740 (0.0808) loss_contra: 0.0000 (0.0041) time: 2.5960 data: 0.0025 max mem: 31671 Epoch: [24] [5260/5278] eta: 0:00:46 lr: 2.06862641419895e-05 loss: 0.0429 (0.0518) loss_seg: 0.0467 (0.0557) loss_lansim: 0.0752 (0.0808) loss_contra: 0.0000 (0.0041) time: 2.6046 data: 0.0025 max mem: 31671 Epoch: [24] [5270/5278] eta: 0:00:20 lr: 2.0683913029396755e-05 loss: 0.0429 (0.0519) loss_seg: 0.0467 (0.0557) loss_lansim: 0.0757 (0.0808) loss_contra: 0.0000 (0.0041) time: 2.6100 data: 0.0025 max mem: 31671 Epoch: [24] Total time: 3:48:19 Test: [ 0/2573] eta: 1:29:34 time: 2.0887 data: 1.9051 max mem: 31671 Test: [ 100/2573] eta: 0:06:36 time: 0.1413 data: 0.0016 max mem: 31671 Test: [ 200/2573] eta: 0:06:06 time: 0.1487 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:44 time: 0.1451 data: 0.0017 max mem: 31671 Test: [ 400/2573] eta: 0:05:26 time: 0.1458 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:09 time: 0.1472 data: 0.0017 max mem: 31671 Test: [ 600/2573] eta: 0:04:54 time: 0.1485 data: 0.0017 max mem: 31671 Test: [ 700/2573] eta: 0:04:40 time: 0.1530 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:25 time: 0.1497 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:10 time: 0.1482 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:55 time: 0.1475 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:39 time: 0.1473 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:25 time: 0.1500 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:09 time: 0.1485 data: 0.0017 max mem: 31671 Test: [1400/2573] eta: 0:02:54 time: 0.1433 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:39 time: 0.1469 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:24 time: 0.1457 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:09 time: 0.1465 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1438 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1424 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1419 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1460 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1425 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1482 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1443 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1465 data: 0.0015 max mem: 31671 Test: Total time: 0:06:18 Final results: precision@0.5 = 69.44 precision@0.6 = 65.03 precision@0.7 = 58.23 precision@0.8 = 46.32 precision@0.9 = 22.28 overall IoU = 58.22 mean IoU = 61.40 Average object IoU 0.6139688546434873 Overall IoU 58.224454474025315 Epoch: [25] [ 0/5278] eta: 10:50:26 lr: 2.068203211794267e-05 loss: 0.0239 (0.0239) loss_seg: 0.0231 (0.0231) loss_lansim: 0.0764 (0.0764) loss_contra: 0.0002 (0.0002) time: 7.3941 data: 1.2982 max mem: 31671 Epoch: [25] [ 10/5278] eta: 4:29:23 lr: 2.067968095189672e-05 loss: 0.0377 (0.0424) loss_seg: 0.0414 (0.0451) loss_lansim: 0.0796 (0.0763) loss_contra: 0.0000 (0.0003) time: 3.0682 data: 0.1202 max mem: 31671 Epoch: [25] [ 20/5278] eta: 4:05:26 lr: 2.067732975614877e-05 loss: 0.0408 (0.0440) loss_seg: 0.0428 (0.0460) loss_lansim: 0.0796 (0.0793) loss_contra: 0.0001 (0.0009) time: 2.8007 data: 0.0639 max mem: 31671 Epoch: [25] [ 30/5278] eta: 3:59:20 lr: 2.0674978530694687e-05 loss: 0.0425 (0.0472) loss_seg: 0.0467 (0.0501) loss_lansim: 0.0761 (0.0763) loss_contra: 0.0001 (0.0012) time: 2.7364 data: 0.0441 max mem: 31671 Epoch: [25] [ 40/5278] eta: 3:54:11 lr: 2.0672627275530348e-05 loss: 0.0425 (0.0456) loss_seg: 0.0461 (0.0482) loss_lansim: 0.0756 (0.0769) loss_contra: 0.0001 (0.0010) time: 2.6826 data: 0.0340 max mem: 31671 Epoch: [25] [ 50/5278] eta: 3:53:07 lr: 2.0670275990651618e-05 loss: 0.0422 (0.0445) loss_seg: 0.0431 (0.0474) loss_lansim: 0.0764 (0.0776) loss_contra: 0.0001 (0.0014) time: 2.6756 data: 0.0278 max mem: 31671 Epoch: [25] [ 60/5278] eta: 3:51:23 lr: 2.066792467605436e-05 loss: 0.0422 (0.0441) loss_seg: 0.0431 (0.0472) loss_lansim: 0.0763 (0.0775) loss_contra: 0.0001 (0.0018) time: 2.6607 data: 0.0237 max mem: 31671 Epoch: [25] [ 70/5278] eta: 3:49:59 lr: 2.0665573331734447e-05 loss: 0.0408 (0.0431) loss_seg: 0.0422 (0.0461) loss_lansim: 0.0756 (0.0767) loss_contra: 0.0001 (0.0015) time: 2.6498 data: 0.0207 max mem: 31671 Epoch: [25] [ 80/5278] eta: 3:48:43 lr: 2.0663221957687756e-05 loss: 0.0391 (0.0437) loss_seg: 0.0421 (0.0466) loss_lansim: 0.0755 (0.0765) loss_contra: 0.0001 (0.0014) time: 2.6401 data: 0.0185 max mem: 31671 Epoch: [25] [ 90/5278] eta: 3:48:33 lr: 2.0660870553910134e-05 loss: 0.0391 (0.0433) loss_seg: 0.0422 (0.0464) loss_lansim: 0.0756 (0.0764) loss_contra: 0.0001 (0.0015) time: 2.6434 data: 0.0168 max mem: 31671 Epoch: [25] [ 100/5278] eta: 3:47:52 lr: 2.0658519120397454e-05 loss: 0.0396 (0.0448) loss_seg: 0.0428 (0.0480) loss_lansim: 0.0755 (0.0765) loss_contra: 0.0001 (0.0016) time: 2.5930 data: 0.0025 max mem: 31671 Epoch: [25] [ 110/5278] eta: 3:47:21 lr: 2.0656167657145583e-05 loss: 0.0391 (0.0444) loss_seg: 0.0422 (0.0475) loss_lansim: 0.0745 (0.0762) loss_contra: 0.0001 (0.0017) time: 2.5924 data: 0.0026 max mem: 31671 Epoch: [25] [ 120/5278] eta: 3:47:00 lr: 2.065381616415038e-05 loss: 0.0378 (0.0435) loss_seg: 0.0414 (0.0466) loss_lansim: 0.0739 (0.0760) loss_contra: 0.0001 (0.0017) time: 2.6070 data: 0.0026 max mem: 31671 Epoch: [25] [ 130/5278] eta: 3:45:44 lr: 2.0651464641407702e-05 loss: 0.0377 (0.0437) loss_seg: 0.0400 (0.0468) loss_lansim: 0.0744 (0.0760) loss_contra: 0.0001 (0.0017) time: 2.5984 data: 0.0026 max mem: 31671 Epoch: [25] [ 140/5278] eta: 3:44:51 lr: 2.0649113088913412e-05 loss: 0.0368 (0.0442) loss_seg: 0.0382 (0.0473) loss_lansim: 0.0754 (0.0767) loss_contra: 0.0001 (0.0022) time: 2.6026 data: 0.0026 max mem: 31671 Epoch: [25] [ 150/5278] eta: 3:44:15 lr: 2.0646761506663373e-05 loss: 0.0381 (0.0445) loss_seg: 0.0402 (0.0477) loss_lansim: 0.0744 (0.0766) loss_contra: 0.0001 (0.0021) time: 2.5975 data: 0.0026 max mem: 31671 Epoch: [25] [ 160/5278] eta: 3:43:50 lr: 2.064440989465344e-05 loss: 0.0368 (0.0441) loss_seg: 0.0395 (0.0472) loss_lansim: 0.0744 (0.0765) loss_contra: 0.0001 (0.0020) time: 2.6017 data: 0.0026 max mem: 31671 Epoch: [25] [ 170/5278] eta: 3:43:16 lr: 2.0642058252879466e-05 loss: 0.0377 (0.0439) loss_seg: 0.0402 (0.0470) loss_lansim: 0.0755 (0.0766) loss_contra: 0.0001 (0.0020) time: 2.6034 data: 0.0027 max mem: 31671 Epoch: [25] [ 180/5278] eta: 3:42:54 lr: 2.0639706581337307e-05 loss: 0.0381 (0.0437) loss_seg: 0.0407 (0.0468) loss_lansim: 0.0754 (0.0763) loss_contra: 0.0001 (0.0019) time: 2.6102 data: 0.0026 max mem: 31671 Epoch: [25] [ 190/5278] eta: 3:42:23 lr: 2.063735488002282e-05 loss: 0.0369 (0.0434) loss_seg: 0.0390 (0.0465) loss_lansim: 0.0754 (0.0763) loss_contra: 0.0001 (0.0018) time: 2.6037 data: 0.0026 max mem: 31671 Epoch: [25] [ 200/5278] eta: 3:41:38 lr: 2.0635003148931868e-05 loss: 0.0365 (0.0435) loss_seg: 0.0390 (0.0466) loss_lansim: 0.0754 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.5970 data: 0.0026 max mem: 31671 Epoch: [25] [ 210/5278] eta: 3:41:16 lr: 2.063265138806028e-05 loss: 0.0381 (0.0438) loss_seg: 0.0402 (0.0470) loss_lansim: 0.0742 (0.0759) loss_contra: 0.0000 (0.0019) time: 2.5977 data: 0.0026 max mem: 31671 Epoch: [25] [ 220/5278] eta: 3:40:31 lr: 2.0630299597403927e-05 loss: 0.0391 (0.0440) loss_seg: 0.0407 (0.0472) loss_lansim: 0.0740 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.5861 data: 0.0026 max mem: 31671 Epoch: [25] [ 230/5278] eta: 3:39:51 lr: 2.062794777695865e-05 loss: 0.0370 (0.0439) loss_seg: 0.0402 (0.0470) loss_lansim: 0.0751 (0.0758) loss_contra: 0.0000 (0.0023) time: 2.5897 data: 0.0026 max mem: 31671 Epoch: [25] [ 240/5278] eta: 3:39:16 lr: 2.06255959267203e-05 loss: 0.0370 (0.0446) loss_seg: 0.0402 (0.0478) loss_lansim: 0.0741 (0.0760) loss_contra: 0.0000 (0.0022) time: 2.5910 data: 0.0026 max mem: 31671 Epoch: [25] [ 250/5278] eta: 3:39:02 lr: 2.0623244046684732e-05 loss: 0.0393 (0.0447) loss_seg: 0.0417 (0.0479) loss_lansim: 0.0741 (0.0760) loss_contra: 0.0000 (0.0021) time: 2.5986 data: 0.0026 max mem: 31671 Epoch: [25] [ 260/5278] eta: 3:38:21 lr: 2.0620892136847784e-05 loss: 0.0370 (0.0440) loss_seg: 0.0402 (0.0471) loss_lansim: 0.0741 (0.0759) loss_contra: 0.0001 (0.0021) time: 2.5895 data: 0.0026 max mem: 31671 Epoch: [25] [ 270/5278] eta: 3:37:40 lr: 2.0618540197205298e-05 loss: 0.0364 (0.0439) loss_seg: 0.0389 (0.0470) loss_lansim: 0.0740 (0.0761) loss_contra: 0.0001 (0.0022) time: 2.5829 data: 0.0026 max mem: 31671 Epoch: [25] [ 280/5278] eta: 3:37:15 lr: 2.0616188227753127e-05 loss: 0.0364 (0.0440) loss_seg: 0.0389 (0.0470) loss_lansim: 0.0754 (0.0762) loss_contra: 0.0001 (0.0023) time: 2.5802 data: 0.0026 max mem: 31671 Epoch: [25] [ 290/5278] eta: 3:36:49 lr: 2.0613836228487115e-05 loss: 0.0415 (0.0441) loss_seg: 0.0417 (0.0472) loss_lansim: 0.0754 (0.0762) loss_contra: 0.0000 (0.0023) time: 2.5807 data: 0.0026 max mem: 31671 Epoch: [25] [ 300/5278] eta: 3:36:13 lr: 2.06114841994031e-05 loss: 0.0380 (0.0444) loss_seg: 0.0407 (0.0476) loss_lansim: 0.0754 (0.0763) loss_contra: 0.0001 (0.0024) time: 2.5809 data: 0.0026 max mem: 31671 Epoch: [25] [ 310/5278] eta: 3:35:47 lr: 2.060913214049692e-05 loss: 0.0390 (0.0456) loss_seg: 0.0413 (0.0489) loss_lansim: 0.0762 (0.0763) loss_contra: 0.0000 (0.0024) time: 2.5777 data: 0.0026 max mem: 31671 Epoch: [25] [ 320/5278] eta: 3:35:19 lr: 2.0606780051764422e-05 loss: 0.0390 (0.0456) loss_seg: 0.0407 (0.0490) loss_lansim: 0.0776 (0.0765) loss_contra: 0.0000 (0.0023) time: 2.5837 data: 0.0026 max mem: 31671 Epoch: [25] [ 330/5278] eta: 3:34:43 lr: 2.0604427933201446e-05 loss: 0.0396 (0.0456) loss_seg: 0.0413 (0.0490) loss_lansim: 0.0772 (0.0765) loss_contra: 0.0000 (0.0022) time: 2.5825 data: 0.0026 max mem: 31671 Epoch: [25] [ 340/5278] eta: 3:34:12 lr: 2.060207578480382e-05 loss: 0.0390 (0.0456) loss_seg: 0.0407 (0.0489) loss_lansim: 0.0774 (0.0766) loss_contra: 0.0000 (0.0022) time: 2.5818 data: 0.0025 max mem: 31671 Epoch: [25] [ 350/5278] eta: 3:33:51 lr: 2.059972360656739e-05 loss: 0.0378 (0.0457) loss_seg: 0.0406 (0.0490) loss_lansim: 0.0778 (0.0767) loss_contra: 0.0000 (0.0022) time: 2.5786 data: 0.0026 max mem: 31671 Epoch: [25] [ 360/5278] eta: 3:33:26 lr: 2.0597371398487986e-05 loss: 0.0394 (0.0458) loss_seg: 0.0416 (0.0492) loss_lansim: 0.0779 (0.0769) loss_contra: 0.0000 (0.0021) time: 2.5862 data: 0.0026 max mem: 31671 Epoch: [25] [ 370/5278] eta: 3:33:03 lr: 2.059501916056145e-05 loss: 0.0396 (0.0458) loss_seg: 0.0429 (0.0492) loss_lansim: 0.0784 (0.0769) loss_contra: 0.0000 (0.0021) time: 2.5958 data: 0.0026 max mem: 31671 Epoch: [25] [ 380/5278] eta: 3:32:31 lr: 2.0592666892783606e-05 loss: 0.0396 (0.0460) loss_seg: 0.0429 (0.0494) loss_lansim: 0.0782 (0.0770) loss_contra: 0.0000 (0.0021) time: 2.5902 data: 0.0026 max mem: 31671 Epoch: [25] [ 390/5278] eta: 3:32:08 lr: 2.0590314595150292e-05 loss: 0.0394 (0.0460) loss_seg: 0.0429 (0.0494) loss_lansim: 0.0786 (0.0771) loss_contra: 0.0000 (0.0021) time: 2.5916 data: 0.0026 max mem: 31671 Epoch: [25] [ 400/5278] eta: 3:31:40 lr: 2.058796226765734e-05 loss: 0.0390 (0.0457) loss_seg: 0.0425 (0.0491) loss_lansim: 0.0793 (0.0771) loss_contra: 0.0000 (0.0021) time: 2.5959 data: 0.0026 max mem: 31671 Epoch: [25] [ 410/5278] eta: 3:31:08 lr: 2.0585609910300575e-05 loss: 0.0390 (0.0458) loss_seg: 0.0416 (0.0492) loss_lansim: 0.0794 (0.0775) loss_contra: 0.0000 (0.0020) time: 2.5908 data: 0.0026 max mem: 31671 Epoch: [25] [ 420/5278] eta: 3:30:48 lr: 2.0583257523075834e-05 loss: 0.0394 (0.0459) loss_seg: 0.0434 (0.0493) loss_lansim: 0.0801 (0.0776) loss_contra: 0.0000 (0.0021) time: 2.5964 data: 0.0026 max mem: 31671 Epoch: [25] [ 430/5278] eta: 3:30:14 lr: 2.0580905105978935e-05 loss: 0.0390 (0.0458) loss_seg: 0.0425 (0.0491) loss_lansim: 0.0815 (0.0777) loss_contra: 0.0000 (0.0020) time: 2.5957 data: 0.0026 max mem: 31671 Epoch: [25] [ 440/5278] eta: 3:29:51 lr: 2.057855265900571e-05 loss: 0.0400 (0.0464) loss_seg: 0.0438 (0.0498) loss_lansim: 0.0815 (0.0778) loss_contra: 0.0000 (0.0020) time: 2.6020 data: 0.0027 max mem: 31671 Epoch: [25] [ 450/5278] eta: 3:29:19 lr: 2.057620018215199e-05 loss: 0.0435 (0.0468) loss_seg: 0.0448 (0.0502) loss_lansim: 0.0815 (0.0779) loss_contra: 0.0000 (0.0020) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [25] [ 460/5278] eta: 3:28:53 lr: 2.057384767541359e-05 loss: 0.0435 (0.0468) loss_seg: 0.0448 (0.0502) loss_lansim: 0.0815 (0.0779) loss_contra: 0.0000 (0.0020) time: 2.5921 data: 0.0027 max mem: 31671 Epoch: [25] [ 470/5278] eta: 3:28:26 lr: 2.0571495138786336e-05 loss: 0.0451 (0.0474) loss_seg: 0.0497 (0.0508) loss_lansim: 0.0815 (0.0781) loss_contra: 0.0000 (0.0020) time: 2.5885 data: 0.0026 max mem: 31671 Epoch: [25] [ 480/5278] eta: 3:28:06 lr: 2.0569142572266055e-05 loss: 0.0435 (0.0472) loss_seg: 0.0448 (0.0506) loss_lansim: 0.0810 (0.0781) loss_contra: 0.0001 (0.0019) time: 2.5990 data: 0.0026 max mem: 31671 Epoch: [25] [ 490/5278] eta: 3:27:35 lr: 2.056678997584856e-05 loss: 0.0424 (0.0472) loss_seg: 0.0440 (0.0506) loss_lansim: 0.0799 (0.0781) loss_contra: 0.0001 (0.0020) time: 2.5917 data: 0.0026 max mem: 31671 Epoch: [25] [ 500/5278] eta: 3:27:09 lr: 2.0564437349529688e-05 loss: 0.0435 (0.0478) loss_seg: 0.0448 (0.0513) loss_lansim: 0.0807 (0.0781) loss_contra: 0.0001 (0.0020) time: 2.5926 data: 0.0026 max mem: 31671 Epoch: [25] [ 510/5278] eta: 3:26:38 lr: 2.0562084693305233e-05 loss: 0.0400 (0.0476) loss_seg: 0.0436 (0.0510) loss_lansim: 0.0784 (0.0781) loss_contra: 0.0001 (0.0020) time: 2.5920 data: 0.0026 max mem: 31671 Epoch: [25] [ 520/5278] eta: 3:26:12 lr: 2.055973200717103e-05 loss: 0.0424 (0.0477) loss_seg: 0.0458 (0.0512) loss_lansim: 0.0799 (0.0783) loss_contra: 0.0001 (0.0020) time: 2.5861 data: 0.0026 max mem: 31671 Epoch: [25] [ 530/5278] eta: 3:25:49 lr: 2.0557379291122893e-05 loss: 0.0424 (0.0476) loss_seg: 0.0467 (0.0510) loss_lansim: 0.0799 (0.0784) loss_contra: 0.0001 (0.0020) time: 2.5963 data: 0.0026 max mem: 31671 Epoch: [25] [ 540/5278] eta: 3:25:26 lr: 2.0555026545156642e-05 loss: 0.0417 (0.0475) loss_seg: 0.0458 (0.0510) loss_lansim: 0.0784 (0.0783) loss_contra: 0.0001 (0.0020) time: 2.5981 data: 0.0025 max mem: 31671 Epoch: [25] [ 550/5278] eta: 3:25:00 lr: 2.0552673769268076e-05 loss: 0.0395 (0.0474) loss_seg: 0.0434 (0.0509) loss_lansim: 0.0784 (0.0784) loss_contra: 0.0001 (0.0020) time: 2.6034 data: 0.0026 max mem: 31671 Epoch: [25] [ 560/5278] eta: 3:24:28 lr: 2.055032096345302e-05 loss: 0.0397 (0.0473) loss_seg: 0.0434 (0.0508) loss_lansim: 0.0794 (0.0785) loss_contra: 0.0000 (0.0019) time: 2.5960 data: 0.0026 max mem: 31671 Epoch: [25] [ 570/5278] eta: 3:24:06 lr: 2.0547968127707286e-05 loss: 0.0386 (0.0473) loss_seg: 0.0411 (0.0508) loss_lansim: 0.0795 (0.0786) loss_contra: 0.0000 (0.0019) time: 2.6004 data: 0.0026 max mem: 31671 Epoch: [25] [ 580/5278] eta: 3:23:39 lr: 2.054561526202669e-05 loss: 0.0397 (0.0475) loss_seg: 0.0428 (0.0510) loss_lansim: 0.0795 (0.0785) loss_contra: 0.0000 (0.0019) time: 2.5931 data: 0.0026 max mem: 31671 Epoch: [25] [ 590/5278] eta: 3:23:06 lr: 2.054326236640703e-05 loss: 0.0408 (0.0478) loss_seg: 0.0436 (0.0514) loss_lansim: 0.0795 (0.0785) loss_contra: 0.0000 (0.0018) time: 2.5896 data: 0.0025 max mem: 31671 Epoch: [25] [ 600/5278] eta: 3:22:31 lr: 2.0540909440844118e-05 loss: 0.0408 (0.0484) loss_seg: 0.0448 (0.0520) loss_lansim: 0.0798 (0.0786) loss_contra: 0.0000 (0.0018) time: 2.5784 data: 0.0025 max mem: 31671 Epoch: [25] [ 610/5278] eta: 3:22:02 lr: 2.0538556485333765e-05 loss: 0.0414 (0.0483) loss_seg: 0.0450 (0.0519) loss_lansim: 0.0806 (0.0786) loss_contra: 0.0000 (0.0018) time: 2.5791 data: 0.0025 max mem: 31671 Epoch: [25] [ 620/5278] eta: 3:21:35 lr: 2.0536203499871784e-05 loss: 0.0402 (0.0485) loss_seg: 0.0428 (0.0521) loss_lansim: 0.0803 (0.0788) loss_contra: 0.0000 (0.0019) time: 2.5776 data: 0.0026 max mem: 31671 Epoch: [25] [ 630/5278] eta: 3:21:15 lr: 2.053385048445397e-05 loss: 0.0395 (0.0484) loss_seg: 0.0424 (0.0520) loss_lansim: 0.0801 (0.0788) loss_contra: 0.0000 (0.0019) time: 2.5823 data: 0.0026 max mem: 31671 Epoch: [25] [ 640/5278] eta: 3:20:49 lr: 2.0531497439076127e-05 loss: 0.0393 (0.0482) loss_seg: 0.0421 (0.0518) loss_lansim: 0.0798 (0.0788) loss_contra: 0.0000 (0.0019) time: 2.5783 data: 0.0026 max mem: 31671 Epoch: [25] [ 650/5278] eta: 3:20:30 lr: 2.0529144363734064e-05 loss: 0.0393 (0.0481) loss_seg: 0.0421 (0.0517) loss_lansim: 0.0788 (0.0786) loss_contra: 0.0000 (0.0019) time: 2.5866 data: 0.0026 max mem: 31671 Epoch: [25] [ 660/5278] eta: 3:20:05 lr: 2.0526791258423583e-05 loss: 0.0390 (0.0481) loss_seg: 0.0419 (0.0517) loss_lansim: 0.0773 (0.0786) loss_contra: 0.0000 (0.0019) time: 2.5959 data: 0.0025 max mem: 31671 Epoch: [25] [ 670/5278] eta: 3:19:45 lr: 2.052443812314048e-05 loss: 0.0402 (0.0482) loss_seg: 0.0426 (0.0518) loss_lansim: 0.0761 (0.0786) loss_contra: 0.0000 (0.0019) time: 2.6006 data: 0.0026 max mem: 31671 Epoch: [25] [ 680/5278] eta: 3:19:22 lr: 2.0522084957880562e-05 loss: 0.0399 (0.0483) loss_seg: 0.0421 (0.0520) loss_lansim: 0.0776 (0.0786) loss_contra: 0.0001 (0.0019) time: 2.6060 data: 0.0026 max mem: 31671 Epoch: [25] [ 690/5278] eta: 3:18:58 lr: 2.0519731762639623e-05 loss: 0.0393 (0.0482) loss_seg: 0.0413 (0.0519) loss_lansim: 0.0773 (0.0785) loss_contra: 0.0001 (0.0018) time: 2.6172 data: 0.0026 max mem: 31671 Epoch: [25] [ 700/5278] eta: 3:18:30 lr: 2.0517378537413468e-05 loss: 0.0393 (0.0481) loss_seg: 0.0412 (0.0518) loss_lansim: 0.0766 (0.0785) loss_contra: 0.0000 (0.0018) time: 2.6266 data: 0.0026 max mem: 31671 Epoch: [25] [ 710/5278] eta: 3:18:07 lr: 2.0515025282197877e-05 loss: 0.0383 (0.0480) loss_seg: 0.0412 (0.0516) loss_lansim: 0.0761 (0.0785) loss_contra: 0.0000 (0.0019) time: 2.6354 data: 0.0026 max mem: 31671 Epoch: [25] [ 720/5278] eta: 3:17:39 lr: 2.051267199698866e-05 loss: 0.0381 (0.0479) loss_seg: 0.0406 (0.0516) loss_lansim: 0.0758 (0.0785) loss_contra: 0.0000 (0.0018) time: 2.6346 data: 0.0026 max mem: 31671 Epoch: [25] [ 730/5278] eta: 3:17:13 lr: 2.051031868178161e-05 loss: 0.0383 (0.0480) loss_seg: 0.0410 (0.0516) loss_lansim: 0.0758 (0.0785) loss_contra: 0.0000 (0.0018) time: 2.6268 data: 0.0026 max mem: 31671 Epoch: [25] [ 740/5278] eta: 3:16:49 lr: 2.0507965336572514e-05 loss: 0.0405 (0.0480) loss_seg: 0.0417 (0.0516) loss_lansim: 0.0760 (0.0785) loss_contra: 0.0000 (0.0018) time: 2.6298 data: 0.0026 max mem: 31671 Epoch: [25] [ 750/5278] eta: 3:16:20 lr: 2.050561196135717e-05 loss: 0.0402 (0.0479) loss_seg: 0.0410 (0.0515) loss_lansim: 0.0772 (0.0785) loss_contra: 0.0000 (0.0018) time: 2.6160 data: 0.0026 max mem: 31671 Epoch: [25] [ 760/5278] eta: 3:15:55 lr: 2.0503258556131366e-05 loss: 0.0378 (0.0477) loss_seg: 0.0393 (0.0513) loss_lansim: 0.0772 (0.0785) loss_contra: 0.0000 (0.0019) time: 2.6167 data: 0.0026 max mem: 31671 Epoch: [25] [ 770/5278] eta: 3:15:26 lr: 2.0500905120890893e-05 loss: 0.0374 (0.0477) loss_seg: 0.0393 (0.0512) loss_lansim: 0.0772 (0.0785) loss_contra: 0.0000 (0.0019) time: 2.6020 data: 0.0026 max mem: 31671 Epoch: [25] [ 780/5278] eta: 3:15:01 lr: 2.0498551655631534e-05 loss: 0.0373 (0.0476) loss_seg: 0.0396 (0.0512) loss_lansim: 0.0766 (0.0785) loss_contra: 0.0000 (0.0019) time: 2.6000 data: 0.0026 max mem: 31671 Epoch: [25] [ 790/5278] eta: 3:14:34 lr: 2.049619816034909e-05 loss: 0.0374 (0.0477) loss_seg: 0.0406 (0.0512) loss_lansim: 0.0769 (0.0785) loss_contra: 0.0000 (0.0020) time: 2.5964 data: 0.0025 max mem: 31671 Epoch: [25] [ 800/5278] eta: 3:14:11 lr: 2.0493844635039334e-05 loss: 0.0372 (0.0476) loss_seg: 0.0396 (0.0511) loss_lansim: 0.0769 (0.0784) loss_contra: 0.0000 (0.0020) time: 2.6034 data: 0.0025 max mem: 31671 Epoch: [25] [ 810/5278] eta: 3:13:45 lr: 2.0491491079698056e-05 loss: 0.0378 (0.0476) loss_seg: 0.0412 (0.0511) loss_lansim: 0.0769 (0.0784) loss_contra: 0.0000 (0.0020) time: 2.5994 data: 0.0025 max mem: 31671 Epoch: [25] [ 820/5278] eta: 3:13:21 lr: 2.048913749432104e-05 loss: 0.0399 (0.0476) loss_seg: 0.0419 (0.0511) loss_lansim: 0.0767 (0.0784) loss_contra: 0.0000 (0.0020) time: 2.6067 data: 0.0025 max mem: 31671 Epoch: [25] [ 830/5278] eta: 3:12:55 lr: 2.048678387890407e-05 loss: 0.0397 (0.0475) loss_seg: 0.0423 (0.0510) loss_lansim: 0.0758 (0.0783) loss_contra: 0.0000 (0.0020) time: 2.6058 data: 0.0025 max mem: 31671 Epoch: [25] [ 840/5278] eta: 3:12:26 lr: 2.048443023344293e-05 loss: 0.0387 (0.0474) loss_seg: 0.0423 (0.0510) loss_lansim: 0.0758 (0.0783) loss_contra: 0.0000 (0.0020) time: 2.5979 data: 0.0025 max mem: 31671 Epoch: [25] [ 850/5278] eta: 3:11:58 lr: 2.0482076557933395e-05 loss: 0.0397 (0.0474) loss_seg: 0.0424 (0.0510) loss_lansim: 0.0740 (0.0782) loss_contra: 0.0000 (0.0020) time: 2.5991 data: 0.0025 max mem: 31671 Epoch: [25] [ 860/5278] eta: 3:11:25 lr: 2.0479722852371244e-05 loss: 0.0418 (0.0474) loss_seg: 0.0436 (0.0510) loss_lansim: 0.0741 (0.0782) loss_contra: 0.0001 (0.0019) time: 2.5828 data: 0.0025 max mem: 31671 Epoch: [25] [ 870/5278] eta: 3:10:56 lr: 2.0477369116752267e-05 loss: 0.0419 (0.0474) loss_seg: 0.0442 (0.0510) loss_lansim: 0.0745 (0.0782) loss_contra: 0.0000 (0.0020) time: 2.5819 data: 0.0025 max mem: 31671 Epoch: [25] [ 880/5278] eta: 3:10:30 lr: 2.047501535107223e-05 loss: 0.0418 (0.0474) loss_seg: 0.0434 (0.0510) loss_lansim: 0.0741 (0.0781) loss_contra: 0.0000 (0.0020) time: 2.5796 data: 0.0025 max mem: 31671 Epoch: [25] [ 890/5278] eta: 3:10:01 lr: 2.0472661555326914e-05 loss: 0.0417 (0.0475) loss_seg: 0.0434 (0.0511) loss_lansim: 0.0739 (0.0781) loss_contra: 0.0000 (0.0020) time: 2.5744 data: 0.0025 max mem: 31671 Epoch: [25] [ 900/5278] eta: 3:09:34 lr: 2.0470307729512088e-05 loss: 0.0420 (0.0476) loss_seg: 0.0450 (0.0511) loss_lansim: 0.0740 (0.0780) loss_contra: 0.0000 (0.0020) time: 2.5669 data: 0.0025 max mem: 31671 Epoch: [25] [ 910/5278] eta: 3:09:02 lr: 2.046795387362354e-05 loss: 0.0418 (0.0476) loss_seg: 0.0442 (0.0511) loss_lansim: 0.0739 (0.0779) loss_contra: 0.0000 (0.0019) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [25] [ 920/5278] eta: 3:08:39 lr: 2.046559998765703e-05 loss: 0.0403 (0.0475) loss_seg: 0.0430 (0.0511) loss_lansim: 0.0739 (0.0779) loss_contra: 0.0000 (0.0019) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [25] [ 930/5278] eta: 3:08:08 lr: 2.0463246071608328e-05 loss: 0.0405 (0.0475) loss_seg: 0.0434 (0.0510) loss_lansim: 0.0750 (0.0779) loss_contra: 0.0000 (0.0023) time: 2.5455 data: 0.0025 max mem: 31671 Epoch: [25] [ 940/5278] eta: 3:07:43 lr: 2.0460892125473214e-05 loss: 0.0403 (0.0474) loss_seg: 0.0430 (0.0510) loss_lansim: 0.0750 (0.0779) loss_contra: 0.0000 (0.0022) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [25] [ 950/5278] eta: 3:07:14 lr: 2.0458538149247454e-05 loss: 0.0397 (0.0473) loss_seg: 0.0412 (0.0508) loss_lansim: 0.0761 (0.0779) loss_contra: 0.0000 (0.0022) time: 2.5496 data: 0.0025 max mem: 31671 Epoch: [25] [ 960/5278] eta: 3:06:49 lr: 2.0456184142926817e-05 loss: 0.0387 (0.0472) loss_seg: 0.0411 (0.0507) loss_lansim: 0.0750 (0.0778) loss_contra: 0.0000 (0.0022) time: 2.5641 data: 0.0026 max mem: 31671 Epoch: [25] [ 970/5278] eta: 3:06:23 lr: 2.0453830106507067e-05 loss: 0.0381 (0.0472) loss_seg: 0.0412 (0.0507) loss_lansim: 0.0747 (0.0778) loss_contra: 0.0000 (0.0022) time: 2.5707 data: 0.0025 max mem: 31671 Epoch: [25] [ 980/5278] eta: 3:05:58 lr: 2.045147603998397e-05 loss: 0.0387 (0.0472) loss_seg: 0.0415 (0.0507) loss_lansim: 0.0747 (0.0778) loss_contra: 0.0000 (0.0022) time: 2.5722 data: 0.0025 max mem: 31671 Epoch: [25] [ 990/5278] eta: 3:05:39 lr: 2.044912194335329e-05 loss: 0.0389 (0.0473) loss_seg: 0.0420 (0.0508) loss_lansim: 0.0753 (0.0778) loss_contra: 0.0001 (0.0023) time: 2.5941 data: 0.0026 max mem: 31671 Epoch: [25] [1000/5278] eta: 3:05:16 lr: 2.0446767816610805e-05 loss: 0.0384 (0.0473) loss_seg: 0.0415 (0.0508) loss_lansim: 0.0758 (0.0778) loss_contra: 0.0000 (0.0023) time: 2.6030 data: 0.0026 max mem: 31671 Epoch: [25] [1010/5278] eta: 3:04:48 lr: 2.044441365975226e-05 loss: 0.0389 (0.0474) loss_seg: 0.0420 (0.0509) loss_lansim: 0.0759 (0.0778) loss_contra: 0.0001 (0.0023) time: 2.6091 data: 0.0026 max mem: 31671 Epoch: [25] [1020/5278] eta: 3:04:23 lr: 2.044205947277342e-05 loss: 0.0403 (0.0476) loss_seg: 0.0426 (0.0511) loss_lansim: 0.0758 (0.0778) loss_contra: 0.0001 (0.0023) time: 2.6062 data: 0.0026 max mem: 31671 Epoch: [25] [1030/5278] eta: 3:04:02 lr: 2.0439705255670048e-05 loss: 0.0403 (0.0476) loss_seg: 0.0427 (0.0511) loss_lansim: 0.0754 (0.0777) loss_contra: 0.0001 (0.0022) time: 2.6300 data: 0.0026 max mem: 31671 Epoch: [25] [1040/5278] eta: 3:03:34 lr: 2.043735100843791e-05 loss: 0.0404 (0.0477) loss_seg: 0.0433 (0.0512) loss_lansim: 0.0758 (0.0778) loss_contra: 0.0001 (0.0022) time: 2.6231 data: 0.0026 max mem: 31671 Epoch: [25] [1050/5278] eta: 3:03:11 lr: 2.0434996731072753e-05 loss: 0.0417 (0.0477) loss_seg: 0.0446 (0.0512) loss_lansim: 0.0747 (0.0777) loss_contra: 0.0001 (0.0022) time: 2.6351 data: 0.0026 max mem: 31671 Epoch: [25] [1060/5278] eta: 3:02:47 lr: 2.0432642423570338e-05 loss: 0.0424 (0.0477) loss_seg: 0.0451 (0.0512) loss_lansim: 0.0747 (0.0777) loss_contra: 0.0000 (0.0022) time: 2.6397 data: 0.0026 max mem: 31671 Epoch: [25] [1070/5278] eta: 3:02:21 lr: 2.0430288085926417e-05 loss: 0.0424 (0.0476) loss_seg: 0.0466 (0.0511) loss_lansim: 0.0754 (0.0777) loss_contra: 0.0000 (0.0022) time: 2.6391 data: 0.0026 max mem: 31671 Epoch: [25] [1080/5278] eta: 3:01:58 lr: 2.042793371813676e-05 loss: 0.0432 (0.0477) loss_seg: 0.0475 (0.0512) loss_lansim: 0.0755 (0.0777) loss_contra: 0.0000 (0.0022) time: 2.6463 data: 0.0026 max mem: 31671 Epoch: [25] [1090/5278] eta: 3:01:37 lr: 2.04255793201971e-05 loss: 0.0422 (0.0476) loss_seg: 0.0466 (0.0511) loss_lansim: 0.0755 (0.0777) loss_contra: 0.0000 (0.0022) time: 2.6445 data: 0.0026 max mem: 31671 Epoch: [25] [1100/5278] eta: 3:01:13 lr: 2.0423224892103198e-05 loss: 0.0425 (0.0481) loss_seg: 0.0470 (0.0516) loss_lansim: 0.0758 (0.0777) loss_contra: 0.0000 (0.0022) time: 2.6415 data: 0.0026 max mem: 31671 Epoch: [25] [1110/5278] eta: 3:00:49 lr: 2.042087043385081e-05 loss: 0.0422 (0.0482) loss_seg: 0.0466 (0.0517) loss_lansim: 0.0744 (0.0776) loss_contra: 0.0000 (0.0022) time: 2.6540 data: 0.0027 max mem: 31671 Epoch: [25] [1120/5278] eta: 3:00:21 lr: 2.041851594543568e-05 loss: 0.0410 (0.0482) loss_seg: 0.0451 (0.0517) loss_lansim: 0.0755 (0.0777) loss_contra: 0.0000 (0.0022) time: 2.6453 data: 0.0027 max mem: 31671 Epoch: [25] [1130/5278] eta: 2:59:58 lr: 2.0416161426853563e-05 loss: 0.0409 (0.0481) loss_seg: 0.0450 (0.0517) loss_lansim: 0.0763 (0.0777) loss_contra: 0.0000 (0.0022) time: 2.6426 data: 0.0027 max mem: 31671 Epoch: [25] [1140/5278] eta: 2:59:36 lr: 2.0413806878100195e-05 loss: 0.0387 (0.0480) loss_seg: 0.0425 (0.0515) loss_lansim: 0.0756 (0.0777) loss_contra: 0.0000 (0.0022) time: 2.6605 data: 0.0026 max mem: 31671 Epoch: [25] [1150/5278] eta: 2:59:13 lr: 2.0411452299171334e-05 loss: 0.0387 (0.0480) loss_seg: 0.0415 (0.0515) loss_lansim: 0.0767 (0.0778) loss_contra: 0.0001 (0.0022) time: 2.6612 data: 0.0026 max mem: 31671 Epoch: [25] [1160/5278] eta: 2:58:46 lr: 2.0409097690062722e-05 loss: 0.0398 (0.0482) loss_seg: 0.0427 (0.0517) loss_lansim: 0.0764 (0.0777) loss_contra: 0.0001 (0.0022) time: 2.6528 data: 0.0026 max mem: 31671 Epoch: [25] [1170/5278] eta: 2:58:23 lr: 2.04067430507701e-05 loss: 0.0387 (0.0481) loss_seg: 0.0415 (0.0516) loss_lansim: 0.0771 (0.0778) loss_contra: 0.0000 (0.0023) time: 2.6642 data: 0.0026 max mem: 31671 Epoch: [25] [1180/5278] eta: 2:57:59 lr: 2.0404388381289216e-05 loss: 0.0387 (0.0482) loss_seg: 0.0415 (0.0518) loss_lansim: 0.0780 (0.0778) loss_contra: 0.0000 (0.0023) time: 2.6607 data: 0.0026 max mem: 31671 Epoch: [25] [1190/5278] eta: 2:57:34 lr: 2.0402033681615808e-05 loss: 0.0391 (0.0482) loss_seg: 0.0415 (0.0517) loss_lansim: 0.0783 (0.0779) loss_contra: 0.0000 (0.0023) time: 2.6528 data: 0.0026 max mem: 31671 Epoch: [25] [1200/5278] eta: 2:57:11 lr: 2.0399678951745627e-05 loss: 0.0391 (0.0484) loss_seg: 0.0426 (0.0519) loss_lansim: 0.0781 (0.0779) loss_contra: 0.0000 (0.0023) time: 2.6581 data: 0.0026 max mem: 31671 Epoch: [25] [1210/5278] eta: 2:56:46 lr: 2.0397324191674395e-05 loss: 0.0407 (0.0483) loss_seg: 0.0428 (0.0518) loss_lansim: 0.0791 (0.0779) loss_contra: 0.0000 (0.0023) time: 2.6537 data: 0.0025 max mem: 31671 Epoch: [25] [1220/5278] eta: 2:56:23 lr: 2.0394969401397864e-05 loss: 0.0398 (0.0483) loss_seg: 0.0427 (0.0518) loss_lansim: 0.0794 (0.0779) loss_contra: 0.0000 (0.0023) time: 2.6707 data: 0.0025 max mem: 31671 Epoch: [25] [1230/5278] eta: 2:55:58 lr: 2.0392614580911767e-05 loss: 0.0409 (0.0484) loss_seg: 0.0428 (0.0519) loss_lansim: 0.0791 (0.0780) loss_contra: 0.0000 (0.0023) time: 2.6635 data: 0.0025 max mem: 31671 Epoch: [25] [1240/5278] eta: 2:55:33 lr: 2.0390259730211842e-05 loss: 0.0429 (0.0485) loss_seg: 0.0459 (0.0520) loss_lansim: 0.0799 (0.0781) loss_contra: 0.0000 (0.0023) time: 2.6577 data: 0.0025 max mem: 31671 Epoch: [25] [1250/5278] eta: 2:55:07 lr: 2.038790484929383e-05 loss: 0.0429 (0.0485) loss_seg: 0.0459 (0.0520) loss_lansim: 0.0807 (0.0781) loss_contra: 0.0000 (0.0023) time: 2.6493 data: 0.0025 max mem: 31671 Epoch: [25] [1260/5278] eta: 2:54:41 lr: 2.038554993815345e-05 loss: 0.0428 (0.0485) loss_seg: 0.0448 (0.0520) loss_lansim: 0.0815 (0.0782) loss_contra: 0.0000 (0.0023) time: 2.6556 data: 0.0026 max mem: 31671 Epoch: [25] [1270/5278] eta: 2:54:15 lr: 2.0383194996786446e-05 loss: 0.0423 (0.0484) loss_seg: 0.0433 (0.0519) loss_lansim: 0.0815 (0.0781) loss_contra: 0.0001 (0.0023) time: 2.6462 data: 0.0025 max mem: 31671 Epoch: [25] [1280/5278] eta: 2:53:49 lr: 2.0380840025188543e-05 loss: 0.0408 (0.0484) loss_seg: 0.0429 (0.0519) loss_lansim: 0.0815 (0.0782) loss_contra: 0.0001 (0.0023) time: 2.6418 data: 0.0025 max mem: 31671 Epoch: [25] [1290/5278] eta: 2:53:25 lr: 2.0378485023355484e-05 loss: 0.0405 (0.0483) loss_seg: 0.0428 (0.0518) loss_lansim: 0.0810 (0.0782) loss_contra: 0.0001 (0.0023) time: 2.6414 data: 0.0026 max mem: 31671 Epoch: [25] [1300/5278] eta: 2:53:01 lr: 2.0376129991282986e-05 loss: 0.0393 (0.0483) loss_seg: 0.0417 (0.0518) loss_lansim: 0.0810 (0.0782) loss_contra: 0.0001 (0.0024) time: 2.6418 data: 0.0026 max mem: 31671 Epoch: [25] [1310/5278] eta: 2:52:36 lr: 2.037377492896678e-05 loss: 0.0386 (0.0482) loss_seg: 0.0410 (0.0517) loss_lansim: 0.0810 (0.0783) loss_contra: 0.0001 (0.0024) time: 2.6455 data: 0.0026 max mem: 31671 Epoch: [25] [1320/5278] eta: 2:52:12 lr: 2.037141983640259e-05 loss: 0.0405 (0.0482) loss_seg: 0.0420 (0.0517) loss_lansim: 0.0810 (0.0783) loss_contra: 0.0001 (0.0026) time: 2.6401 data: 0.0026 max mem: 31671 Epoch: [25] [1330/5278] eta: 2:51:47 lr: 2.036906471358616e-05 loss: 0.0399 (0.0482) loss_seg: 0.0410 (0.0517) loss_lansim: 0.0811 (0.0784) loss_contra: 0.0001 (0.0026) time: 2.6416 data: 0.0026 max mem: 31671 Epoch: [25] [1340/5278] eta: 2:51:21 lr: 2.0366709560513188e-05 loss: 0.0405 (0.0482) loss_seg: 0.0410 (0.0517) loss_lansim: 0.0807 (0.0784) loss_contra: 0.0001 (0.0026) time: 2.6367 data: 0.0026 max mem: 31671 Epoch: [25] [1350/5278] eta: 2:50:56 lr: 2.0364354377179416e-05 loss: 0.0396 (0.0481) loss_seg: 0.0408 (0.0516) loss_lansim: 0.0800 (0.0785) loss_contra: 0.0001 (0.0026) time: 2.6447 data: 0.0026 max mem: 31671 Epoch: [25] [1360/5278] eta: 2:50:33 lr: 2.0361999163580558e-05 loss: 0.0396 (0.0481) loss_seg: 0.0408 (0.0516) loss_lansim: 0.0802 (0.0785) loss_contra: 0.0001 (0.0026) time: 2.6530 data: 0.0026 max mem: 31671 Epoch: [25] [1370/5278] eta: 2:50:07 lr: 2.0359643919712347e-05 loss: 0.0416 (0.0481) loss_seg: 0.0434 (0.0516) loss_lansim: 0.0802 (0.0785) loss_contra: 0.0001 (0.0026) time: 2.6537 data: 0.0026 max mem: 31671 Epoch: [25] [1380/5278] eta: 2:49:43 lr: 2.0357288645570487e-05 loss: 0.0416 (0.0481) loss_seg: 0.0434 (0.0516) loss_lansim: 0.0807 (0.0785) loss_contra: 0.0001 (0.0026) time: 2.6617 data: 0.0026 max mem: 31671 Epoch: [25] [1390/5278] eta: 2:49:17 lr: 2.0354933341150703e-05 loss: 0.0419 (0.0481) loss_seg: 0.0458 (0.0516) loss_lansim: 0.0808 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.6577 data: 0.0026 max mem: 31671 Epoch: [25] [1400/5278] eta: 2:48:50 lr: 2.0352578006448718e-05 loss: 0.0439 (0.0484) loss_seg: 0.0476 (0.0519) loss_lansim: 0.0808 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.6454 data: 0.0026 max mem: 31671 Epoch: [25] [1410/5278] eta: 2:48:28 lr: 2.035022264146025e-05 loss: 0.0461 (0.0483) loss_seg: 0.0492 (0.0519) loss_lansim: 0.0811 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.6573 data: 0.0026 max mem: 31671 Epoch: [25] [1420/5278] eta: 2:48:04 lr: 2.0347867246181004e-05 loss: 0.0439 (0.0483) loss_seg: 0.0478 (0.0519) loss_lansim: 0.0812 (0.0787) loss_contra: 0.0002 (0.0026) time: 2.6606 data: 0.0026 max mem: 31671 Epoch: [25] [1430/5278] eta: 2:47:41 lr: 2.0345511820606702e-05 loss: 0.0439 (0.0482) loss_seg: 0.0476 (0.0517) loss_lansim: 0.0808 (0.0788) loss_contra: 0.0002 (0.0026) time: 2.6666 data: 0.0026 max mem: 31671 Epoch: [25] [1440/5278] eta: 2:47:16 lr: 2.0343156364733053e-05 loss: 0.0439 (0.0482) loss_seg: 0.0476 (0.0517) loss_lansim: 0.0814 (0.0788) loss_contra: 0.0001 (0.0026) time: 2.6729 data: 0.0026 max mem: 31671 Epoch: [25] [1450/5278] eta: 2:46:51 lr: 2.034080087855578e-05 loss: 0.0439 (0.0482) loss_seg: 0.0476 (0.0517) loss_lansim: 0.0808 (0.0788) loss_contra: 0.0001 (0.0026) time: 2.6711 data: 0.0026 max mem: 31671 Epoch: [25] [1460/5278] eta: 2:46:25 lr: 2.033844536207058e-05 loss: 0.0422 (0.0481) loss_seg: 0.0457 (0.0516) loss_lansim: 0.0802 (0.0788) loss_contra: 0.0002 (0.0027) time: 2.6629 data: 0.0026 max mem: 31671 Epoch: [25] [1470/5278] eta: 2:46:01 lr: 2.0336089815273166e-05 loss: 0.0426 (0.0481) loss_seg: 0.0454 (0.0516) loss_lansim: 0.0808 (0.0788) loss_contra: 0.0002 (0.0026) time: 2.6696 data: 0.0026 max mem: 31671 Epoch: [25] [1480/5278] eta: 2:45:36 lr: 2.033373423815925e-05 loss: 0.0433 (0.0481) loss_seg: 0.0457 (0.0517) loss_lansim: 0.0798 (0.0788) loss_contra: 0.0001 (0.0026) time: 2.6655 data: 0.0026 max mem: 31671 Epoch: [25] [1490/5278] eta: 2:45:11 lr: 2.033137863072454e-05 loss: 0.0419 (0.0481) loss_seg: 0.0451 (0.0516) loss_lansim: 0.0798 (0.0788) loss_contra: 0.0001 (0.0026) time: 2.6710 data: 0.0026 max mem: 31671 Epoch: [25] [1500/5278] eta: 2:44:45 lr: 2.0329022992964745e-05 loss: 0.0404 (0.0480) loss_seg: 0.0427 (0.0516) loss_lansim: 0.0806 (0.0789) loss_contra: 0.0001 (0.0027) time: 2.6766 data: 0.0026 max mem: 31671 Epoch: [25] [1510/5278] eta: 2:44:20 lr: 2.0326667324875563e-05 loss: 0.0389 (0.0480) loss_seg: 0.0407 (0.0515) loss_lansim: 0.0806 (0.0789) loss_contra: 0.0001 (0.0027) time: 2.6655 data: 0.0026 max mem: 31671 Epoch: [25] [1520/5278] eta: 2:43:55 lr: 2.0324311626452698e-05 loss: 0.0393 (0.0482) loss_seg: 0.0413 (0.0517) loss_lansim: 0.0816 (0.0790) loss_contra: 0.0001 (0.0027) time: 2.6644 data: 0.0026 max mem: 31671 Epoch: [25] [1530/5278] eta: 2:43:33 lr: 2.0321955897691857e-05 loss: 0.0412 (0.0484) loss_seg: 0.0433 (0.0519) loss_lansim: 0.0816 (0.0790) loss_contra: 0.0001 (0.0027) time: 2.6710 data: 0.0026 max mem: 31671 Epoch: [25] [1540/5278] eta: 2:43:10 lr: 2.0319600138588743e-05 loss: 0.0404 (0.0484) loss_seg: 0.0427 (0.0519) loss_lansim: 0.0804 (0.0790) loss_contra: 0.0001 (0.0027) time: 2.6766 data: 0.0026 max mem: 31671 Epoch: [25] [1550/5278] eta: 2:42:43 lr: 2.031724434913905e-05 loss: 0.0393 (0.0483) loss_seg: 0.0417 (0.0518) loss_lansim: 0.0816 (0.0790) loss_contra: 0.0001 (0.0028) time: 2.6739 data: 0.0026 max mem: 31671 Epoch: [25] [1560/5278] eta: 2:42:18 lr: 2.0314888529338483e-05 loss: 0.0389 (0.0482) loss_seg: 0.0417 (0.0517) loss_lansim: 0.0818 (0.0790) loss_contra: 0.0001 (0.0027) time: 2.6737 data: 0.0026 max mem: 31671 Epoch: [25] [1570/5278] eta: 2:41:52 lr: 2.0312532679182737e-05 loss: 0.0389 (0.0482) loss_seg: 0.0410 (0.0517) loss_lansim: 0.0814 (0.0791) loss_contra: 0.0001 (0.0027) time: 2.6693 data: 0.0026 max mem: 31671 Epoch: [25] [1580/5278] eta: 2:41:28 lr: 2.0310176798667517e-05 loss: 0.0389 (0.0485) loss_seg: 0.0411 (0.0520) loss_lansim: 0.0818 (0.0791) loss_contra: 0.0001 (0.0027) time: 2.6776 data: 0.0026 max mem: 31671 Epoch: [25] [1590/5278] eta: 2:41:02 lr: 2.0307820887788504e-05 loss: 0.0392 (0.0484) loss_seg: 0.0410 (0.0520) loss_lansim: 0.0817 (0.0791) loss_contra: 0.0001 (0.0027) time: 2.6708 data: 0.0026 max mem: 31671 Epoch: [25] [1600/5278] eta: 2:40:37 lr: 2.0305464946541404e-05 loss: 0.0404 (0.0487) loss_seg: 0.0423 (0.0523) loss_lansim: 0.0824 (0.0792) loss_contra: 0.0001 (0.0027) time: 2.6741 data: 0.0026 max mem: 31671 Epoch: [25] [1610/5278] eta: 2:40:09 lr: 2.0303108974921902e-05 loss: 0.0404 (0.0487) loss_seg: 0.0423 (0.0523) loss_lansim: 0.0814 (0.0792) loss_contra: 0.0001 (0.0027) time: 2.6655 data: 0.0026 max mem: 31671 Epoch: [25] [1620/5278] eta: 2:39:44 lr: 2.0300752972925705e-05 loss: 0.0406 (0.0488) loss_seg: 0.0424 (0.0523) loss_lansim: 0.0805 (0.0792) loss_contra: 0.0000 (0.0027) time: 2.6633 data: 0.0026 max mem: 31671 Epoch: [25] [1630/5278] eta: 2:39:19 lr: 2.029839694054849e-05 loss: 0.0404 (0.0488) loss_seg: 0.0423 (0.0524) loss_lansim: 0.0808 (0.0792) loss_contra: 0.0001 (0.0027) time: 2.6536 data: 0.0026 max mem: 31671 Epoch: [25] [1640/5278] eta: 2:38:53 lr: 2.029604087778595e-05 loss: 0.0409 (0.0488) loss_seg: 0.0444 (0.0524) loss_lansim: 0.0814 (0.0792) loss_contra: 0.0000 (0.0028) time: 2.6438 data: 0.0026 max mem: 31671 Epoch: [25] [1650/5278] eta: 2:38:28 lr: 2.0293684784633776e-05 loss: 0.0416 (0.0489) loss_seg: 0.0445 (0.0525) loss_lansim: 0.0794 (0.0792) loss_contra: 0.0000 (0.0028) time: 2.6506 data: 0.0026 max mem: 31671 Epoch: [25] [1660/5278] eta: 2:38:04 lr: 2.029132866108766e-05 loss: 0.0458 (0.0489) loss_seg: 0.0478 (0.0525) loss_lansim: 0.0817 (0.0792) loss_contra: 0.0000 (0.0028) time: 2.6583 data: 0.0026 max mem: 31671 Epoch: [25] [1670/5278] eta: 2:37:39 lr: 2.028897250714328e-05 loss: 0.0416 (0.0488) loss_seg: 0.0457 (0.0524) loss_lansim: 0.0801 (0.0792) loss_contra: 0.0000 (0.0028) time: 2.6630 data: 0.0026 max mem: 31671 Epoch: [25] [1680/5278] eta: 2:37:14 lr: 2.0286616322796325e-05 loss: 0.0416 (0.0489) loss_seg: 0.0457 (0.0525) loss_lansim: 0.0794 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6552 data: 0.0026 max mem: 31671 Epoch: [25] [1690/5278] eta: 2:36:50 lr: 2.028426010804248e-05 loss: 0.0443 (0.0489) loss_seg: 0.0465 (0.0525) loss_lansim: 0.0801 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6689 data: 0.0026 max mem: 31671 Epoch: [25] [1700/5278] eta: 2:36:24 lr: 2.0281903862877428e-05 loss: 0.0416 (0.0489) loss_seg: 0.0439 (0.0525) loss_lansim: 0.0794 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6674 data: 0.0026 max mem: 31671 Epoch: [25] [1710/5278] eta: 2:35:58 lr: 2.0279547587296853e-05 loss: 0.0416 (0.0489) loss_seg: 0.0444 (0.0525) loss_lansim: 0.0794 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6721 data: 0.0025 max mem: 31671 Epoch: [25] [1720/5278] eta: 2:35:33 lr: 2.0277191281296425e-05 loss: 0.0419 (0.0489) loss_seg: 0.0448 (0.0525) loss_lansim: 0.0792 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6726 data: 0.0025 max mem: 31671 Epoch: [25] [1730/5278] eta: 2:35:07 lr: 2.0274834944871833e-05 loss: 0.0405 (0.0489) loss_seg: 0.0436 (0.0525) loss_lansim: 0.0792 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6700 data: 0.0025 max mem: 31671 Epoch: [25] [1740/5278] eta: 2:34:41 lr: 2.0272478578018755e-05 loss: 0.0405 (0.0489) loss_seg: 0.0434 (0.0524) loss_lansim: 0.0792 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6713 data: 0.0025 max mem: 31671 Epoch: [25] [1750/5278] eta: 2:34:18 lr: 2.027012218073287e-05 loss: 0.0407 (0.0488) loss_seg: 0.0434 (0.0524) loss_lansim: 0.0801 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6774 data: 0.0025 max mem: 31671 Epoch: [25] [1760/5278] eta: 2:33:52 lr: 2.0267765753009848e-05 loss: 0.0407 (0.0488) loss_seg: 0.0434 (0.0524) loss_lansim: 0.0797 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6704 data: 0.0025 max mem: 31671 Epoch: [25] [1770/5278] eta: 2:33:26 lr: 2.0265409294845368e-05 loss: 0.0419 (0.0488) loss_seg: 0.0454 (0.0524) loss_lansim: 0.0797 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6653 data: 0.0025 max mem: 31671 Epoch: [25] [1780/5278] eta: 2:32:59 lr: 2.02630528062351e-05 loss: 0.0420 (0.0490) loss_seg: 0.0456 (0.0526) loss_lansim: 0.0797 (0.0793) loss_contra: 0.0000 (0.0027) time: 2.6600 data: 0.0025 max mem: 31671 Epoch: [25] [1790/5278] eta: 2:32:32 lr: 2.026069628717472e-05 loss: 0.0420 (0.0490) loss_seg: 0.0456 (0.0526) loss_lansim: 0.0802 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.6442 data: 0.0025 max mem: 31671 Epoch: [25] [1800/5278] eta: 2:32:06 lr: 2.025833973765989e-05 loss: 0.0444 (0.0490) loss_seg: 0.0463 (0.0526) loss_lansim: 0.0797 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.6436 data: 0.0025 max mem: 31671 Epoch: [25] [1810/5278] eta: 2:31:40 lr: 2.0255983157686294e-05 loss: 0.0444 (0.0491) loss_seg: 0.0463 (0.0527) loss_lansim: 0.0797 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.6419 data: 0.0025 max mem: 31671 Epoch: [25] [1820/5278] eta: 2:31:14 lr: 2.0253626547249596e-05 loss: 0.0418 (0.0490) loss_seg: 0.0454 (0.0526) loss_lansim: 0.0796 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.6410 data: 0.0025 max mem: 31671 Epoch: [25] [1830/5278] eta: 2:30:49 lr: 2.0251269906345466e-05 loss: 0.0435 (0.0490) loss_seg: 0.0463 (0.0526) loss_lansim: 0.0786 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.6452 data: 0.0025 max mem: 31671 Epoch: [25] [1840/5278] eta: 2:30:24 lr: 2.024891323496956e-05 loss: 0.0441 (0.0491) loss_seg: 0.0467 (0.0527) loss_lansim: 0.0795 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.6518 data: 0.0025 max mem: 31671 Epoch: [25] [1850/5278] eta: 2:30:00 lr: 2.024655653311755e-05 loss: 0.0453 (0.0491) loss_seg: 0.0471 (0.0527) loss_lansim: 0.0790 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.6484 data: 0.0025 max mem: 31671 Epoch: [25] [1860/5278] eta: 2:29:34 lr: 2.0244199800785103e-05 loss: 0.0453 (0.0490) loss_seg: 0.0471 (0.0527) loss_lansim: 0.0785 (0.0794) loss_contra: 0.0001 (0.0028) time: 2.6480 data: 0.0025 max mem: 31671 Epoch: [25] [1870/5278] eta: 2:29:07 lr: 2.0241843037967883e-05 loss: 0.0441 (0.0491) loss_seg: 0.0467 (0.0527) loss_lansim: 0.0775 (0.0793) loss_contra: 0.0001 (0.0028) time: 2.6466 data: 0.0025 max mem: 31671 Epoch: [25] [1880/5278] eta: 2:28:42 lr: 2.0239486244661543e-05 loss: 0.0408 (0.0491) loss_seg: 0.0443 (0.0527) loss_lansim: 0.0776 (0.0793) loss_contra: 0.0001 (0.0028) time: 2.6528 data: 0.0026 max mem: 31671 Epoch: [25] [1890/5278] eta: 2:28:15 lr: 2.023712942086175e-05 loss: 0.0401 (0.0493) loss_seg: 0.0437 (0.0529) loss_lansim: 0.0769 (0.0793) loss_contra: 0.0001 (0.0029) time: 2.6562 data: 0.0025 max mem: 31671 Epoch: [25] [1900/5278] eta: 2:27:49 lr: 2.023477256656416e-05 loss: 0.0399 (0.0493) loss_seg: 0.0436 (0.0529) loss_lansim: 0.0772 (0.0793) loss_contra: 0.0001 (0.0029) time: 2.6540 data: 0.0025 max mem: 31671 Epoch: [25] [1910/5278] eta: 2:27:23 lr: 2.0232415681764443e-05 loss: 0.0399 (0.0494) loss_seg: 0.0435 (0.0530) loss_lansim: 0.0764 (0.0793) loss_contra: 0.0001 (0.0029) time: 2.6548 data: 0.0026 max mem: 31671 Epoch: [25] [1920/5278] eta: 2:26:56 lr: 2.023005876645824e-05 loss: 0.0408 (0.0493) loss_seg: 0.0437 (0.0529) loss_lansim: 0.0764 (0.0793) loss_contra: 0.0001 (0.0028) time: 2.6491 data: 0.0026 max mem: 31671 Epoch: [25] [1930/5278] eta: 2:26:31 lr: 2.0227701820641212e-05 loss: 0.0410 (0.0493) loss_seg: 0.0441 (0.0529) loss_lansim: 0.0764 (0.0793) loss_contra: 0.0001 (0.0029) time: 2.6509 data: 0.0026 max mem: 31671 Epoch: [25] [1940/5278] eta: 2:26:05 lr: 2.022534484430902e-05 loss: 0.0398 (0.0493) loss_seg: 0.0435 (0.0529) loss_lansim: 0.0749 (0.0793) loss_contra: 0.0001 (0.0028) time: 2.6422 data: 0.0026 max mem: 31671 Epoch: [25] [1950/5278] eta: 2:25:40 lr: 2.022298783745731e-05 loss: 0.0397 (0.0492) loss_seg: 0.0418 (0.0528) loss_lansim: 0.0744 (0.0793) loss_contra: 0.0000 (0.0028) time: 2.6399 data: 0.0026 max mem: 31671 Epoch: [25] [1960/5278] eta: 2:25:14 lr: 2.0220630800081745e-05 loss: 0.0398 (0.0492) loss_seg: 0.0435 (0.0528) loss_lansim: 0.0757 (0.0793) loss_contra: 0.0001 (0.0028) time: 2.6403 data: 0.0026 max mem: 31671 Epoch: [25] [1970/5278] eta: 2:24:48 lr: 2.021827373217796e-05 loss: 0.0400 (0.0493) loss_seg: 0.0435 (0.0529) loss_lansim: 0.0759 (0.0792) loss_contra: 0.0001 (0.0028) time: 2.6422 data: 0.0026 max mem: 31671 Epoch: [25] [1980/5278] eta: 2:24:22 lr: 2.021591663374162e-05 loss: 0.0421 (0.0492) loss_seg: 0.0435 (0.0528) loss_lansim: 0.0759 (0.0792) loss_contra: 0.0001 (0.0028) time: 2.6432 data: 0.0026 max mem: 31671 Epoch: [25] [1990/5278] eta: 2:23:58 lr: 2.0213559504768363e-05 loss: 0.0442 (0.0494) loss_seg: 0.0441 (0.0530) loss_lansim: 0.0759 (0.0792) loss_contra: 0.0001 (0.0028) time: 2.6579 data: 0.0026 max mem: 31671 Epoch: [25] [2000/5278] eta: 2:23:32 lr: 2.0211202345253847e-05 loss: 0.0427 (0.0494) loss_seg: 0.0442 (0.0530) loss_lansim: 0.0759 (0.0792) loss_contra: 0.0001 (0.0028) time: 2.6597 data: 0.0026 max mem: 31671 Epoch: [25] [2010/5278] eta: 2:23:06 lr: 2.020884515519371e-05 loss: 0.0448 (0.0494) loss_seg: 0.0464 (0.0530) loss_lansim: 0.0759 (0.0792) loss_contra: 0.0001 (0.0028) time: 2.6628 data: 0.0026 max mem: 31671 Epoch: [25] [2020/5278] eta: 2:22:40 lr: 2.0206487934583602e-05 loss: 0.0449 (0.0494) loss_seg: 0.0470 (0.0530) loss_lansim: 0.0759 (0.0792) loss_contra: 0.0001 (0.0028) time: 2.6697 data: 0.0026 max mem: 31671 Epoch: [25] [2030/5278] eta: 2:22:16 lr: 2.0204130683419163e-05 loss: 0.0448 (0.0494) loss_seg: 0.0464 (0.0530) loss_lansim: 0.0754 (0.0792) loss_contra: 0.0001 (0.0028) time: 2.6751 data: 0.0026 max mem: 31671 Epoch: [25] [2040/5278] eta: 2:21:51 lr: 2.020177340169604e-05 loss: 0.0448 (0.0494) loss_seg: 0.0470 (0.0530) loss_lansim: 0.0755 (0.0791) loss_contra: 0.0001 (0.0028) time: 2.6793 data: 0.0026 max mem: 31671 Epoch: [25] [2050/5278] eta: 2:21:24 lr: 2.0199416089409873e-05 loss: 0.0448 (0.0494) loss_seg: 0.0470 (0.0530) loss_lansim: 0.0757 (0.0791) loss_contra: 0.0001 (0.0028) time: 2.6703 data: 0.0026 max mem: 31671 Epoch: [25] [2060/5278] eta: 2:20:59 lr: 2.0197058746556302e-05 loss: 0.0449 (0.0493) loss_seg: 0.0473 (0.0530) loss_lansim: 0.0754 (0.0791) loss_contra: 0.0001 (0.0028) time: 2.6751 data: 0.0026 max mem: 31671 Epoch: [25] [2070/5278] eta: 2:20:33 lr: 2.0194701373130964e-05 loss: 0.0447 (0.0493) loss_seg: 0.0451 (0.0529) loss_lansim: 0.0749 (0.0791) loss_contra: 0.0001 (0.0028) time: 2.6780 data: 0.0026 max mem: 31671 Epoch: [25] [2080/5278] eta: 2:20:08 lr: 2.0192343969129508e-05 loss: 0.0449 (0.0493) loss_seg: 0.0473 (0.0529) loss_lansim: 0.0736 (0.0790) loss_contra: 0.0001 (0.0028) time: 2.6807 data: 0.0026 max mem: 31671 Epoch: [25] [2090/5278] eta: 2:19:43 lr: 2.0189986534547558e-05 loss: 0.0408 (0.0493) loss_seg: 0.0444 (0.0529) loss_lansim: 0.0736 (0.0790) loss_contra: 0.0001 (0.0029) time: 2.6789 data: 0.0026 max mem: 31671 Epoch: [25] [2100/5278] eta: 2:19:18 lr: 2.0187629069380756e-05 loss: 0.0421 (0.0493) loss_seg: 0.0447 (0.0529) loss_lansim: 0.0738 (0.0790) loss_contra: 0.0001 (0.0029) time: 2.6848 data: 0.0026 max mem: 31671 Epoch: [25] [2110/5278] eta: 2:18:53 lr: 2.0185271573624734e-05 loss: 0.0405 (0.0493) loss_seg: 0.0429 (0.0529) loss_lansim: 0.0738 (0.0790) loss_contra: 0.0000 (0.0028) time: 2.6893 data: 0.0026 max mem: 31671 Epoch: [25] [2120/5278] eta: 2:18:27 lr: 2.0182914047275133e-05 loss: 0.0405 (0.0493) loss_seg: 0.0429 (0.0529) loss_lansim: 0.0754 (0.0790) loss_contra: 0.0000 (0.0028) time: 2.6870 data: 0.0026 max mem: 31671 Epoch: [25] [2130/5278] eta: 2:18:01 lr: 2.0180556490327574e-05 loss: 0.0405 (0.0493) loss_seg: 0.0425 (0.0529) loss_lansim: 0.0754 (0.0790) loss_contra: 0.0001 (0.0028) time: 2.6808 data: 0.0026 max mem: 31671 Epoch: [25] [2140/5278] eta: 2:17:36 lr: 2.0178198902777694e-05 loss: 0.0417 (0.0493) loss_seg: 0.0425 (0.0529) loss_lansim: 0.0753 (0.0790) loss_contra: 0.0001 (0.0029) time: 2.6823 data: 0.0026 max mem: 31671 Epoch: [25] [2150/5278] eta: 2:17:08 lr: 2.017584128462112e-05 loss: 0.0418 (0.0492) loss_seg: 0.0429 (0.0528) loss_lansim: 0.0738 (0.0789) loss_contra: 0.0001 (0.0029) time: 2.6780 data: 0.0026 max mem: 31671 Epoch: [25] [2160/5278] eta: 2:16:43 lr: 2.0173483635853487e-05 loss: 0.0402 (0.0492) loss_seg: 0.0416 (0.0528) loss_lansim: 0.0738 (0.0789) loss_contra: 0.0000 (0.0029) time: 2.6796 data: 0.0026 max mem: 31671 Epoch: [25] [2170/5278] eta: 2:16:17 lr: 2.0171125956470416e-05 loss: 0.0419 (0.0492) loss_seg: 0.0442 (0.0528) loss_lansim: 0.0752 (0.0789) loss_contra: 0.0000 (0.0029) time: 2.6783 data: 0.0026 max mem: 31671 Epoch: [25] [2180/5278] eta: 2:15:50 lr: 2.0168768246467538e-05 loss: 0.0422 (0.0492) loss_seg: 0.0442 (0.0529) loss_lansim: 0.0754 (0.0789) loss_contra: 0.0000 (0.0030) time: 2.6672 data: 0.0026 max mem: 31671 Epoch: [25] [2190/5278] eta: 2:15:24 lr: 2.016641050584047e-05 loss: 0.0422 (0.0492) loss_seg: 0.0433 (0.0528) loss_lansim: 0.0761 (0.0789) loss_contra: 0.0000 (0.0030) time: 2.6530 data: 0.0026 max mem: 31671 Epoch: [25] [2200/5278] eta: 2:14:58 lr: 2.0164052734584845e-05 loss: 0.0418 (0.0491) loss_seg: 0.0429 (0.0528) loss_lansim: 0.0752 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6534 data: 0.0026 max mem: 31671 Epoch: [25] [2210/5278] eta: 2:14:31 lr: 2.0161694932696287e-05 loss: 0.0388 (0.0491) loss_seg: 0.0426 (0.0527) loss_lansim: 0.0751 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6407 data: 0.0026 max mem: 31671 Epoch: [25] [2220/5278] eta: 2:14:06 lr: 2.0159337100170408e-05 loss: 0.0387 (0.0491) loss_seg: 0.0426 (0.0527) loss_lansim: 0.0738 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6455 data: 0.0026 max mem: 31671 Epoch: [25] [2230/5278] eta: 2:13:40 lr: 2.0156979237002834e-05 loss: 0.0387 (0.0491) loss_seg: 0.0426 (0.0527) loss_lansim: 0.0740 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6468 data: 0.0026 max mem: 31671 Epoch: [25] [2240/5278] eta: 2:13:14 lr: 2.015462134318918e-05 loss: 0.0388 (0.0491) loss_seg: 0.0426 (0.0527) loss_lansim: 0.0751 (0.0788) loss_contra: 0.0000 (0.0030) time: 2.6413 data: 0.0025 max mem: 31671 Epoch: [25] [2250/5278] eta: 2:12:48 lr: 2.0152263418725075e-05 loss: 0.0388 (0.0491) loss_seg: 0.0425 (0.0527) loss_lansim: 0.0758 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6508 data: 0.0025 max mem: 31671 Epoch: [25] [2260/5278] eta: 2:12:23 lr: 2.0149905463606125e-05 loss: 0.0388 (0.0491) loss_seg: 0.0425 (0.0527) loss_lansim: 0.0760 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6541 data: 0.0026 max mem: 31671 Epoch: [25] [2270/5278] eta: 2:11:56 lr: 2.0147547477827943e-05 loss: 0.0377 (0.0491) loss_seg: 0.0412 (0.0528) loss_lansim: 0.0762 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6492 data: 0.0026 max mem: 31671 Epoch: [25] [2280/5278] eta: 2:11:30 lr: 2.0145189461386153e-05 loss: 0.0379 (0.0491) loss_seg: 0.0412 (0.0527) loss_lansim: 0.0760 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6488 data: 0.0026 max mem: 31671 Epoch: [25] [2290/5278] eta: 2:11:04 lr: 2.014283141427637e-05 loss: 0.0393 (0.0491) loss_seg: 0.0426 (0.0528) loss_lansim: 0.0760 (0.0788) loss_contra: 0.0000 (0.0030) time: 2.6558 data: 0.0026 max mem: 31671 Epoch: [25] [2300/5278] eta: 2:10:38 lr: 2.014047333649419e-05 loss: 0.0411 (0.0493) loss_seg: 0.0433 (0.0530) loss_lansim: 0.0762 (0.0788) loss_contra: 0.0000 (0.0030) time: 2.6523 data: 0.0026 max mem: 31671 Epoch: [25] [2310/5278] eta: 2:10:12 lr: 2.0138115228035236e-05 loss: 0.0410 (0.0493) loss_seg: 0.0429 (0.0529) loss_lansim: 0.0762 (0.0788) loss_contra: 0.0000 (0.0030) time: 2.6640 data: 0.0026 max mem: 31671 Epoch: [25] [2320/5278] eta: 2:09:46 lr: 2.0135757088895115e-05 loss: 0.0410 (0.0493) loss_seg: 0.0429 (0.0529) loss_lansim: 0.0758 (0.0788) loss_contra: 0.0000 (0.0030) time: 2.6575 data: 0.0027 max mem: 31671 Epoch: [25] [2330/5278] eta: 2:09:20 lr: 2.013339891906944e-05 loss: 0.0411 (0.0494) loss_seg: 0.0448 (0.0531) loss_lansim: 0.0764 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6544 data: 0.0027 max mem: 31671 Epoch: [25] [2340/5278] eta: 2:08:54 lr: 2.0131040718553808e-05 loss: 0.0409 (0.0494) loss_seg: 0.0429 (0.0531) loss_lansim: 0.0758 (0.0788) loss_contra: 0.0001 (0.0030) time: 2.6590 data: 0.0027 max mem: 31671 Epoch: [25] [2350/5278] eta: 2:08:29 lr: 2.0128682487343835e-05 loss: 0.0410 (0.0494) loss_seg: 0.0433 (0.0530) loss_lansim: 0.0755 (0.0787) loss_contra: 0.0001 (0.0030) time: 2.6679 data: 0.0027 max mem: 31671 Epoch: [25] [2360/5278] eta: 2:08:03 lr: 2.0126324225435115e-05 loss: 0.0411 (0.0494) loss_seg: 0.0448 (0.0530) loss_lansim: 0.0759 (0.0787) loss_contra: 0.0001 (0.0029) time: 2.6564 data: 0.0027 max mem: 31671 Epoch: [25] [2370/5278] eta: 2:07:37 lr: 2.0123965932823266e-05 loss: 0.0412 (0.0494) loss_seg: 0.0452 (0.0531) loss_lansim: 0.0757 (0.0787) loss_contra: 0.0001 (0.0029) time: 2.6662 data: 0.0027 max mem: 31671 Epoch: [25] [2380/5278] eta: 2:07:12 lr: 2.0121607609503875e-05 loss: 0.0409 (0.0493) loss_seg: 0.0433 (0.0530) loss_lansim: 0.0759 (0.0787) loss_contra: 0.0001 (0.0029) time: 2.6764 data: 0.0026 max mem: 31671 Epoch: [25] [2390/5278] eta: 2:06:45 lr: 2.0119249255472553e-05 loss: 0.0404 (0.0493) loss_seg: 0.0418 (0.0530) loss_lansim: 0.0759 (0.0787) loss_contra: 0.0001 (0.0029) time: 2.6717 data: 0.0026 max mem: 31671 Epoch: [25] [2400/5278] eta: 2:06:19 lr: 2.0116890870724896e-05 loss: 0.0403 (0.0494) loss_seg: 0.0413 (0.0530) loss_lansim: 0.0759 (0.0787) loss_contra: 0.0001 (0.0029) time: 2.6663 data: 0.0026 max mem: 31671 Epoch: [25] [2410/5278] eta: 2:05:54 lr: 2.011453245525651e-05 loss: 0.0418 (0.0494) loss_seg: 0.0442 (0.0530) loss_lansim: 0.0759 (0.0787) loss_contra: 0.0001 (0.0029) time: 2.6718 data: 0.0026 max mem: 31671 Epoch: [25] [2420/5278] eta: 2:05:28 lr: 2.011217400906298e-05 loss: 0.0404 (0.0493) loss_seg: 0.0418 (0.0530) loss_lansim: 0.0761 (0.0787) loss_contra: 0.0001 (0.0029) time: 2.6771 data: 0.0025 max mem: 31671 Epoch: [25] [2430/5278] eta: 2:05:02 lr: 2.0109815532139907e-05 loss: 0.0414 (0.0493) loss_seg: 0.0436 (0.0530) loss_lansim: 0.0759 (0.0787) loss_contra: 0.0000 (0.0029) time: 2.6765 data: 0.0025 max mem: 31671 Epoch: [25] [2440/5278] eta: 2:04:35 lr: 2.0107457024482894e-05 loss: 0.0422 (0.0494) loss_seg: 0.0448 (0.0530) loss_lansim: 0.0760 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6696 data: 0.0026 max mem: 31671 Epoch: [25] [2450/5278] eta: 2:04:09 lr: 2.0105098486087522e-05 loss: 0.0418 (0.0493) loss_seg: 0.0443 (0.0530) loss_lansim: 0.0759 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6620 data: 0.0026 max mem: 31671 Epoch: [25] [2460/5278] eta: 2:03:43 lr: 2.0102739916949398e-05 loss: 0.0403 (0.0493) loss_seg: 0.0433 (0.0529) loss_lansim: 0.0749 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6617 data: 0.0026 max mem: 31671 Epoch: [25] [2470/5278] eta: 2:03:17 lr: 2.01003813170641e-05 loss: 0.0403 (0.0493) loss_seg: 0.0433 (0.0530) loss_lansim: 0.0754 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6559 data: 0.0025 max mem: 31671 Epoch: [25] [2480/5278] eta: 2:02:51 lr: 2.0098022686427227e-05 loss: 0.0406 (0.0493) loss_seg: 0.0436 (0.0530) loss_lansim: 0.0747 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6602 data: 0.0025 max mem: 31671 Epoch: [25] [2490/5278] eta: 2:02:25 lr: 2.009566402503436e-05 loss: 0.0403 (0.0493) loss_seg: 0.0433 (0.0530) loss_lansim: 0.0747 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6563 data: 0.0026 max mem: 31671 Epoch: [25] [2500/5278] eta: 2:01:59 lr: 2.0093305332881102e-05 loss: 0.0394 (0.0493) loss_seg: 0.0424 (0.0529) loss_lansim: 0.0744 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6657 data: 0.0026 max mem: 31671 Epoch: [25] [2510/5278] eta: 2:01:33 lr: 2.0090946609963025e-05 loss: 0.0397 (0.0493) loss_seg: 0.0436 (0.0530) loss_lansim: 0.0739 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6583 data: 0.0026 max mem: 31671 Epoch: [25] [2520/5278] eta: 2:01:08 lr: 2.0088587856275714e-05 loss: 0.0413 (0.0494) loss_seg: 0.0448 (0.0530) loss_lansim: 0.0737 (0.0786) loss_contra: 0.0001 (0.0031) time: 2.6639 data: 0.0026 max mem: 31671 Epoch: [25] [2530/5278] eta: 2:00:41 lr: 2.0086229071814764e-05 loss: 0.0419 (0.0494) loss_seg: 0.0457 (0.0531) loss_lansim: 0.0739 (0.0786) loss_contra: 0.0001 (0.0030) time: 2.6597 data: 0.0026 max mem: 31671 Epoch: [25] [2540/5278] eta: 2:00:14 lr: 2.0083870256575753e-05 loss: 0.0420 (0.0495) loss_seg: 0.0457 (0.0531) loss_lansim: 0.0730 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6537 data: 0.0025 max mem: 31671 Epoch: [25] [2550/5278] eta: 1:59:48 lr: 2.008151141055426e-05 loss: 0.0427 (0.0495) loss_seg: 0.0462 (0.0532) loss_lansim: 0.0730 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6556 data: 0.0025 max mem: 31671 Epoch: [25] [2560/5278] eta: 1:59:22 lr: 2.0079152533745866e-05 loss: 0.0436 (0.0494) loss_seg: 0.0473 (0.0531) loss_lansim: 0.0730 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6597 data: 0.0026 max mem: 31671 Epoch: [25] [2570/5278] eta: 1:58:56 lr: 2.0076793626146157e-05 loss: 0.0420 (0.0494) loss_seg: 0.0462 (0.0531) loss_lansim: 0.0730 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6617 data: 0.0026 max mem: 31671 Epoch: [25] [2580/5278] eta: 1:58:30 lr: 2.0074434687750707e-05 loss: 0.0420 (0.0494) loss_seg: 0.0462 (0.0530) loss_lansim: 0.0728 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6588 data: 0.0026 max mem: 31671 Epoch: [25] [2590/5278] eta: 1:58:04 lr: 2.007207571855509e-05 loss: 0.0413 (0.0493) loss_seg: 0.0445 (0.0530) loss_lansim: 0.0729 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6646 data: 0.0026 max mem: 31671 Epoch: [25] [2600/5278] eta: 1:57:38 lr: 2.006971671855488e-05 loss: 0.0413 (0.0493) loss_seg: 0.0450 (0.0530) loss_lansim: 0.0729 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6605 data: 0.0026 max mem: 31671 Epoch: [25] [2610/5278] eta: 1:57:12 lr: 2.006735768774566e-05 loss: 0.0409 (0.0493) loss_seg: 0.0444 (0.0529) loss_lansim: 0.0732 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6646 data: 0.0026 max mem: 31671 Epoch: [25] [2620/5278] eta: 1:56:46 lr: 2.0064998626123004e-05 loss: 0.0409 (0.0493) loss_seg: 0.0439 (0.0529) loss_lansim: 0.0736 (0.0785) loss_contra: 0.0001 (0.0030) time: 2.6545 data: 0.0026 max mem: 31671 Epoch: [25] [2630/5278] eta: 1:56:20 lr: 2.006263953368247e-05 loss: 0.0387 (0.0493) loss_seg: 0.0412 (0.0529) loss_lansim: 0.0724 (0.0784) loss_contra: 0.0001 (0.0030) time: 2.6597 data: 0.0026 max mem: 31671 Epoch: [25] [2640/5278] eta: 1:55:53 lr: 2.0060280410419644e-05 loss: 0.0382 (0.0493) loss_seg: 0.0408 (0.0529) loss_lansim: 0.0729 (0.0784) loss_contra: 0.0001 (0.0030) time: 2.6638 data: 0.0026 max mem: 31671 Epoch: [25] [2650/5278] eta: 1:55:27 lr: 2.0057921256330084e-05 loss: 0.0380 (0.0492) loss_seg: 0.0405 (0.0529) loss_lansim: 0.0739 (0.0784) loss_contra: 0.0000 (0.0030) time: 2.6609 data: 0.0026 max mem: 31671 Epoch: [25] [2660/5278] eta: 1:55:01 lr: 2.0055562071409374e-05 loss: 0.0382 (0.0492) loss_seg: 0.0410 (0.0528) loss_lansim: 0.0753 (0.0784) loss_contra: 0.0000 (0.0030) time: 2.6579 data: 0.0026 max mem: 31671 Epoch: [25] [2670/5278] eta: 1:54:34 lr: 2.0053202855653065e-05 loss: 0.0381 (0.0492) loss_seg: 0.0405 (0.0528) loss_lansim: 0.0739 (0.0784) loss_contra: 0.0000 (0.0030) time: 2.6536 data: 0.0026 max mem: 31671 Epoch: [25] [2680/5278] eta: 1:54:08 lr: 2.0050843609056725e-05 loss: 0.0389 (0.0493) loss_seg: 0.0414 (0.0529) loss_lansim: 0.0754 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6470 data: 0.0026 max mem: 31671 Epoch: [25] [2690/5278] eta: 1:53:42 lr: 2.004848433161593e-05 loss: 0.0397 (0.0493) loss_seg: 0.0428 (0.0530) loss_lansim: 0.0753 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6494 data: 0.0026 max mem: 31671 Epoch: [25] [2700/5278] eta: 1:53:15 lr: 2.0046125023326233e-05 loss: 0.0409 (0.0493) loss_seg: 0.0438 (0.0529) loss_lansim: 0.0764 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6418 data: 0.0026 max mem: 31671 Epoch: [25] [2710/5278] eta: 1:52:48 lr: 2.0043765684183206e-05 loss: 0.0399 (0.0493) loss_seg: 0.0428 (0.0529) loss_lansim: 0.0765 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6292 data: 0.0026 max mem: 31671 Epoch: [25] [2720/5278] eta: 1:52:21 lr: 2.0041406314182403e-05 loss: 0.0389 (0.0493) loss_seg: 0.0413 (0.0529) loss_lansim: 0.0771 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6198 data: 0.0026 max mem: 31671 Epoch: [25] [2730/5278] eta: 1:51:55 lr: 2.0039046913319382e-05 loss: 0.0409 (0.0492) loss_seg: 0.0414 (0.0529) loss_lansim: 0.0771 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6176 data: 0.0026 max mem: 31671 Epoch: [25] [2740/5278] eta: 1:51:29 lr: 2.0036687481589705e-05 loss: 0.0409 (0.0493) loss_seg: 0.0420 (0.0529) loss_lansim: 0.0769 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6227 data: 0.0026 max mem: 31671 Epoch: [25] [2750/5278] eta: 1:51:03 lr: 2.003432801898894e-05 loss: 0.0400 (0.0492) loss_seg: 0.0414 (0.0529) loss_lansim: 0.0768 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6253 data: 0.0026 max mem: 31671 Epoch: [25] [2760/5278] eta: 1:50:37 lr: 2.003196852551262e-05 loss: 0.0410 (0.0493) loss_seg: 0.0430 (0.0530) loss_lansim: 0.0764 (0.0784) loss_contra: 0.0000 (0.0030) time: 2.6334 data: 0.0026 max mem: 31671 Epoch: [25] [2770/5278] eta: 1:50:11 lr: 2.002960900115632e-05 loss: 0.0400 (0.0493) loss_seg: 0.0413 (0.0530) loss_lansim: 0.0765 (0.0784) loss_contra: 0.0000 (0.0030) time: 2.6336 data: 0.0026 max mem: 31671 Epoch: [25] [2780/5278] eta: 1:49:45 lr: 2.002724944591558e-05 loss: 0.0394 (0.0494) loss_seg: 0.0406 (0.0530) loss_lansim: 0.0763 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6374 data: 0.0026 max mem: 31671 Epoch: [25] [2790/5278] eta: 1:49:18 lr: 2.002488985978597e-05 loss: 0.0373 (0.0494) loss_seg: 0.0400 (0.0530) loss_lansim: 0.0763 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6291 data: 0.0026 max mem: 31671 Epoch: [25] [2800/5278] eta: 1:48:51 lr: 2.0022530242763023e-05 loss: 0.0368 (0.0494) loss_seg: 0.0399 (0.0530) loss_lansim: 0.0766 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6316 data: 0.0026 max mem: 31671 Epoch: [25] [2810/5278] eta: 1:48:25 lr: 2.0020170594842297e-05 loss: 0.0373 (0.0494) loss_seg: 0.0399 (0.0530) loss_lansim: 0.0768 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6374 data: 0.0026 max mem: 31671 Epoch: [25] [2820/5278] eta: 1:47:58 lr: 2.0017810916019343e-05 loss: 0.0373 (0.0493) loss_seg: 0.0394 (0.0530) loss_lansim: 0.0768 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6440 data: 0.0026 max mem: 31671 Epoch: [25] [2830/5278] eta: 1:47:32 lr: 2.0015451206289712e-05 loss: 0.0368 (0.0493) loss_seg: 0.0394 (0.0529) loss_lansim: 0.0769 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6430 data: 0.0026 max mem: 31671 Epoch: [25] [2840/5278] eta: 1:47:06 lr: 2.0013091465648938e-05 loss: 0.0368 (0.0493) loss_seg: 0.0394 (0.0529) loss_lansim: 0.0768 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6514 data: 0.0026 max mem: 31671 Epoch: [25] [2850/5278] eta: 1:46:40 lr: 2.0010731694092573e-05 loss: 0.0377 (0.0493) loss_seg: 0.0399 (0.0529) loss_lansim: 0.0763 (0.0785) loss_contra: 0.0000 (0.0030) time: 2.6436 data: 0.0026 max mem: 31671 Epoch: [25] [2860/5278] eta: 1:46:14 lr: 2.0008371891616164e-05 loss: 0.0366 (0.0492) loss_seg: 0.0394 (0.0529) loss_lansim: 0.0770 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6404 data: 0.0026 max mem: 31671 Epoch: [25] [2870/5278] eta: 1:45:48 lr: 2.0006012058215257e-05 loss: 0.0377 (0.0492) loss_seg: 0.0398 (0.0528) loss_lansim: 0.0771 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6495 data: 0.0026 max mem: 31671 Epoch: [25] [2880/5278] eta: 1:45:22 lr: 2.000365219388538e-05 loss: 0.0378 (0.0492) loss_seg: 0.0401 (0.0529) loss_lansim: 0.0776 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6542 data: 0.0027 max mem: 31671 Epoch: [25] [2890/5278] eta: 1:44:56 lr: 2.0001292298622085e-05 loss: 0.0377 (0.0492) loss_seg: 0.0401 (0.0528) loss_lansim: 0.0776 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6579 data: 0.0027 max mem: 31671 Epoch: [25] [2900/5278] eta: 1:44:30 lr: 1.9998932372420902e-05 loss: 0.0377 (0.0492) loss_seg: 0.0401 (0.0528) loss_lansim: 0.0771 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6628 data: 0.0026 max mem: 31671 Epoch: [25] [2910/5278] eta: 1:44:04 lr: 1.9996572415277385e-05 loss: 0.0377 (0.0491) loss_seg: 0.0402 (0.0528) loss_lansim: 0.0799 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6708 data: 0.0026 max mem: 31671 Epoch: [25] [2920/5278] eta: 1:43:38 lr: 1.9994212427187052e-05 loss: 0.0378 (0.0492) loss_seg: 0.0416 (0.0528) loss_lansim: 0.0801 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6731 data: 0.0026 max mem: 31671 Epoch: [25] [2930/5278] eta: 1:43:12 lr: 1.9991852408145448e-05 loss: 0.0383 (0.0492) loss_seg: 0.0416 (0.0529) loss_lansim: 0.0808 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6755 data: 0.0026 max mem: 31671 Epoch: [25] [2940/5278] eta: 1:42:46 lr: 1.9989492358148106e-05 loss: 0.0379 (0.0492) loss_seg: 0.0416 (0.0528) loss_lansim: 0.0806 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6807 data: 0.0026 max mem: 31671 Epoch: [25] [2950/5278] eta: 1:42:21 lr: 1.9987132277190558e-05 loss: 0.0389 (0.0493) loss_seg: 0.0429 (0.0529) loss_lansim: 0.0806 (0.0785) loss_contra: 0.0000 (0.0029) time: 2.6908 data: 0.0026 max mem: 31671 Epoch: [25] [2960/5278] eta: 1:41:55 lr: 1.998477216526834e-05 loss: 0.0389 (0.0493) loss_seg: 0.0429 (0.0529) loss_lansim: 0.0807 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6920 data: 0.0026 max mem: 31671 Epoch: [25] [2970/5278] eta: 1:41:28 lr: 1.9982412022376977e-05 loss: 0.0389 (0.0493) loss_seg: 0.0419 (0.0529) loss_lansim: 0.0807 (0.0786) loss_contra: 0.0000 (0.0030) time: 2.6807 data: 0.0026 max mem: 31671 Epoch: [25] [2980/5278] eta: 1:41:02 lr: 1.9980051848512e-05 loss: 0.0383 (0.0493) loss_seg: 0.0418 (0.0529) loss_lansim: 0.0805 (0.0786) loss_contra: 0.0000 (0.0030) time: 2.6730 data: 0.0025 max mem: 31671 Epoch: [25] [2990/5278] eta: 1:40:35 lr: 1.9977691643668935e-05 loss: 0.0402 (0.0493) loss_seg: 0.0429 (0.0529) loss_lansim: 0.0805 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6711 data: 0.0025 max mem: 31671 Epoch: [25] [3000/5278] eta: 1:40:08 lr: 1.9975331407843318e-05 loss: 0.0420 (0.0493) loss_seg: 0.0442 (0.0530) loss_lansim: 0.0807 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6654 data: 0.0026 max mem: 31671 Epoch: [25] [3010/5278] eta: 1:39:42 lr: 1.9972971141030665e-05 loss: 0.0426 (0.0493) loss_seg: 0.0459 (0.0530) loss_lansim: 0.0807 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6637 data: 0.0026 max mem: 31671 Epoch: [25] [3020/5278] eta: 1:39:16 lr: 1.99706108432265e-05 loss: 0.0413 (0.0493) loss_seg: 0.0442 (0.0529) loss_lansim: 0.0799 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6596 data: 0.0026 max mem: 31671 Epoch: [25] [3030/5278] eta: 1:38:49 lr: 1.9968250514426348e-05 loss: 0.0418 (0.0494) loss_seg: 0.0442 (0.0530) loss_lansim: 0.0798 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6522 data: 0.0026 max mem: 31671 Epoch: [25] [3040/5278] eta: 1:38:23 lr: 1.996589015462574e-05 loss: 0.0418 (0.0494) loss_seg: 0.0442 (0.0530) loss_lansim: 0.0793 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6385 data: 0.0026 max mem: 31671 Epoch: [25] [3050/5278] eta: 1:37:56 lr: 1.9963529763820182e-05 loss: 0.0416 (0.0494) loss_seg: 0.0441 (0.0530) loss_lansim: 0.0790 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6322 data: 0.0026 max mem: 31671 Epoch: [25] [3060/5278] eta: 1:37:30 lr: 1.9961169342005205e-05 loss: 0.0426 (0.0494) loss_seg: 0.0454 (0.0530) loss_lansim: 0.0790 (0.0787) loss_contra: 0.0001 (0.0029) time: 2.6258 data: 0.0026 max mem: 31671 Epoch: [25] [3070/5278] eta: 1:37:04 lr: 1.9958808889176317e-05 loss: 0.0430 (0.0494) loss_seg: 0.0455 (0.0530) loss_lansim: 0.0784 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6391 data: 0.0026 max mem: 31671 Epoch: [25] [3080/5278] eta: 1:36:38 lr: 1.995644840532905e-05 loss: 0.0426 (0.0493) loss_seg: 0.0454 (0.0530) loss_lansim: 0.0784 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6442 data: 0.0027 max mem: 31671 Epoch: [25] [3090/5278] eta: 1:36:12 lr: 1.99540878904589e-05 loss: 0.0449 (0.0494) loss_seg: 0.0478 (0.0530) loss_lansim: 0.0783 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6488 data: 0.0026 max mem: 31671 Epoch: [25] [3100/5278] eta: 1:35:46 lr: 1.9951727344561396e-05 loss: 0.0437 (0.0494) loss_seg: 0.0456 (0.0531) loss_lansim: 0.0779 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6571 data: 0.0026 max mem: 31671 Epoch: [25] [3110/5278] eta: 1:35:20 lr: 1.9949366767632044e-05 loss: 0.0418 (0.0494) loss_seg: 0.0448 (0.0530) loss_lansim: 0.0770 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6517 data: 0.0026 max mem: 31671 Epoch: [25] [3120/5278] eta: 1:34:53 lr: 1.9947006159666368e-05 loss: 0.0437 (0.0494) loss_seg: 0.0462 (0.0531) loss_lansim: 0.0763 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6589 data: 0.0026 max mem: 31671 Epoch: [25] [3130/5278] eta: 1:34:27 lr: 1.9944645520659862e-05 loss: 0.0434 (0.0494) loss_seg: 0.0476 (0.0531) loss_lansim: 0.0761 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6633 data: 0.0026 max mem: 31671 Epoch: [25] [3140/5278] eta: 1:34:01 lr: 1.9942284850608043e-05 loss: 0.0434 (0.0494) loss_seg: 0.0477 (0.0531) loss_lansim: 0.0759 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6686 data: 0.0026 max mem: 31671 Epoch: [25] [3150/5278] eta: 1:33:34 lr: 1.993992414950642e-05 loss: 0.0448 (0.0495) loss_seg: 0.0478 (0.0531) loss_lansim: 0.0761 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6639 data: 0.0026 max mem: 31671 Epoch: [25] [3160/5278] eta: 1:33:08 lr: 1.9937563417350507e-05 loss: 0.0449 (0.0495) loss_seg: 0.0481 (0.0531) loss_lansim: 0.0763 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6685 data: 0.0026 max mem: 31671 Epoch: [25] [3170/5278] eta: 1:32:41 lr: 1.9935202654135794e-05 loss: 0.0455 (0.0495) loss_seg: 0.0481 (0.0531) loss_lansim: 0.0764 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6549 data: 0.0025 max mem: 31671 Epoch: [25] [3180/5278] eta: 1:32:16 lr: 1.9932841859857794e-05 loss: 0.0468 (0.0495) loss_seg: 0.0509 (0.0532) loss_lansim: 0.0778 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6581 data: 0.0026 max mem: 31671 Epoch: [25] [3190/5278] eta: 1:31:49 lr: 1.993048103451201e-05 loss: 0.0433 (0.0495) loss_seg: 0.0477 (0.0531) loss_lansim: 0.0759 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6538 data: 0.0025 max mem: 31671 Epoch: [25] [3200/5278] eta: 1:31:23 lr: 1.9928120178093947e-05 loss: 0.0432 (0.0495) loss_seg: 0.0470 (0.0531) loss_lansim: 0.0763 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6474 data: 0.0025 max mem: 31671 Epoch: [25] [3210/5278] eta: 1:30:56 lr: 1.9925759290599107e-05 loss: 0.0433 (0.0494) loss_seg: 0.0477 (0.0531) loss_lansim: 0.0782 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6359 data: 0.0026 max mem: 31671 Epoch: [25] [3220/5278] eta: 1:30:30 lr: 1.992339837202298e-05 loss: 0.0433 (0.0494) loss_seg: 0.0476 (0.0531) loss_lansim: 0.0789 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6470 data: 0.0027 max mem: 31671 Epoch: [25] [3230/5278] eta: 1:30:03 lr: 1.9921037422361072e-05 loss: 0.0433 (0.0495) loss_seg: 0.0470 (0.0531) loss_lansim: 0.0782 (0.0786) loss_contra: 0.0001 (0.0029) time: 2.6423 data: 0.0027 max mem: 31671 Epoch: [25] [3240/5278] eta: 1:29:37 lr: 1.9918676441608878e-05 loss: 0.0445 (0.0494) loss_seg: 0.0471 (0.0531) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6357 data: 0.0027 max mem: 31671 Epoch: [25] [3250/5278] eta: 1:29:10 lr: 1.9916315429761897e-05 loss: 0.0427 (0.0495) loss_seg: 0.0456 (0.0531) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0000 (0.0029) time: 2.6367 data: 0.0027 max mem: 31671 Epoch: [25] [3260/5278] eta: 1:28:44 lr: 1.9913954386815617e-05 loss: 0.0417 (0.0494) loss_seg: 0.0441 (0.0531) loss_lansim: 0.0755 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6277 data: 0.0027 max mem: 31671 Epoch: [25] [3270/5278] eta: 1:28:17 lr: 1.9911593312765535e-05 loss: 0.0408 (0.0494) loss_seg: 0.0439 (0.0531) loss_lansim: 0.0759 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6284 data: 0.0027 max mem: 31671 Epoch: [25] [3280/5278] eta: 1:27:51 lr: 1.990923220760714e-05 loss: 0.0402 (0.0494) loss_seg: 0.0439 (0.0531) loss_lansim: 0.0762 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6208 data: 0.0027 max mem: 31671 Epoch: [25] [3290/5278] eta: 1:27:24 lr: 1.9906871071335934e-05 loss: 0.0408 (0.0494) loss_seg: 0.0439 (0.0530) loss_lansim: 0.0781 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6217 data: 0.0027 max mem: 31671 Epoch: [25] [3300/5278] eta: 1:26:58 lr: 1.9904509903947395e-05 loss: 0.0416 (0.0494) loss_seg: 0.0447 (0.0530) loss_lansim: 0.0762 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6194 data: 0.0027 max mem: 31671 Epoch: [25] [3310/5278] eta: 1:26:31 lr: 1.9902148705437013e-05 loss: 0.0416 (0.0494) loss_seg: 0.0439 (0.0530) loss_lansim: 0.0760 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6330 data: 0.0027 max mem: 31671 Epoch: [25] [3320/5278] eta: 1:26:05 lr: 1.9899787475800277e-05 loss: 0.0396 (0.0494) loss_seg: 0.0428 (0.0530) loss_lansim: 0.0769 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6162 data: 0.0025 max mem: 31671 Epoch: [25] [3330/5278] eta: 1:25:38 lr: 1.9897426215032678e-05 loss: 0.0399 (0.0493) loss_seg: 0.0434 (0.0530) loss_lansim: 0.0771 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6138 data: 0.0025 max mem: 31671 Epoch: [25] [3340/5278] eta: 1:25:11 lr: 1.9895064923129693e-05 loss: 0.0408 (0.0494) loss_seg: 0.0439 (0.0530) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6098 data: 0.0025 max mem: 31671 Epoch: [25] [3350/5278] eta: 1:24:45 lr: 1.9892703600086805e-05 loss: 0.0398 (0.0493) loss_seg: 0.0434 (0.0530) loss_lansim: 0.0771 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6090 data: 0.0025 max mem: 31671 Epoch: [25] [3360/5278] eta: 1:24:18 lr: 1.98903422458995e-05 loss: 0.0427 (0.0493) loss_seg: 0.0447 (0.0530) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6004 data: 0.0025 max mem: 31671 Epoch: [25] [3370/5278] eta: 1:23:51 lr: 1.9887980860563264e-05 loss: 0.0431 (0.0493) loss_seg: 0.0447 (0.0530) loss_lansim: 0.0772 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5983 data: 0.0025 max mem: 31671 Epoch: [25] [3380/5278] eta: 1:23:24 lr: 1.988561944407356e-05 loss: 0.0433 (0.0493) loss_seg: 0.0462 (0.0530) loss_lansim: 0.0769 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5923 data: 0.0025 max mem: 31671 Epoch: [25] [3390/5278] eta: 1:22:57 lr: 1.9883257996425882e-05 loss: 0.0431 (0.0493) loss_seg: 0.0458 (0.0530) loss_lansim: 0.0761 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5833 data: 0.0025 max mem: 31671 Epoch: [25] [3400/5278] eta: 1:22:31 lr: 1.9880896517615702e-05 loss: 0.0425 (0.0493) loss_seg: 0.0445 (0.0530) loss_lansim: 0.0771 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5804 data: 0.0025 max mem: 31671 Epoch: [25] [3410/5278] eta: 1:22:04 lr: 1.98785350076385e-05 loss: 0.0425 (0.0493) loss_seg: 0.0445 (0.0529) loss_lansim: 0.0760 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5668 data: 0.0024 max mem: 31671 Epoch: [25] [3420/5278] eta: 1:21:37 lr: 1.9876173466489742e-05 loss: 0.0426 (0.0492) loss_seg: 0.0456 (0.0529) loss_lansim: 0.0758 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5667 data: 0.0025 max mem: 31671 Epoch: [25] [3430/5278] eta: 1:21:11 lr: 1.9873811894164906e-05 loss: 0.0415 (0.0492) loss_seg: 0.0443 (0.0529) loss_lansim: 0.0758 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5693 data: 0.0025 max mem: 31671 Epoch: [25] [3440/5278] eta: 1:20:44 lr: 1.9871450290659462e-05 loss: 0.0415 (0.0492) loss_seg: 0.0443 (0.0529) loss_lansim: 0.0757 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5686 data: 0.0025 max mem: 31671 Epoch: [25] [3450/5278] eta: 1:20:17 lr: 1.9869088655968887e-05 loss: 0.0424 (0.0492) loss_seg: 0.0456 (0.0529) loss_lansim: 0.0753 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5637 data: 0.0025 max mem: 31671 Epoch: [25] [3460/5278] eta: 1:19:50 lr: 1.986672699008865e-05 loss: 0.0415 (0.0493) loss_seg: 0.0445 (0.0530) loss_lansim: 0.0753 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5651 data: 0.0025 max mem: 31671 Epoch: [25] [3470/5278] eta: 1:19:24 lr: 1.986436529301421e-05 loss: 0.0414 (0.0493) loss_seg: 0.0445 (0.0530) loss_lansim: 0.0759 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5717 data: 0.0025 max mem: 31671 Epoch: [25] [3480/5278] eta: 1:18:57 lr: 1.9862003564741036e-05 loss: 0.0413 (0.0493) loss_seg: 0.0439 (0.0529) loss_lansim: 0.0774 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5728 data: 0.0025 max mem: 31671 Epoch: [25] [3490/5278] eta: 1:18:31 lr: 1.98596418052646e-05 loss: 0.0413 (0.0493) loss_seg: 0.0433 (0.0529) loss_lansim: 0.0772 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5871 data: 0.0025 max mem: 31671 Epoch: [25] [3500/5278] eta: 1:18:05 lr: 1.985728001458037e-05 loss: 0.0415 (0.0492) loss_seg: 0.0433 (0.0529) loss_lansim: 0.0768 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5898 data: 0.0025 max mem: 31671 Epoch: [25] [3510/5278] eta: 1:17:38 lr: 1.9854918192683798e-05 loss: 0.0413 (0.0492) loss_seg: 0.0433 (0.0529) loss_lansim: 0.0774 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5976 data: 0.0025 max mem: 31671 Epoch: [25] [3520/5278] eta: 1:17:11 lr: 1.9852556339570352e-05 loss: 0.0413 (0.0492) loss_seg: 0.0433 (0.0529) loss_lansim: 0.0761 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5945 data: 0.0025 max mem: 31671 Epoch: [25] [3530/5278] eta: 1:16:45 lr: 1.9850194455235495e-05 loss: 0.0413 (0.0492) loss_seg: 0.0433 (0.0529) loss_lansim: 0.0761 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5887 data: 0.0025 max mem: 31671 Epoch: [25] [3540/5278] eta: 1:16:18 lr: 1.9847832539674687e-05 loss: 0.0413 (0.0493) loss_seg: 0.0439 (0.0529) loss_lansim: 0.0774 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5876 data: 0.0025 max mem: 31671 Epoch: [25] [3550/5278] eta: 1:15:51 lr: 1.9845470592883374e-05 loss: 0.0423 (0.0493) loss_seg: 0.0454 (0.0529) loss_lansim: 0.0776 (0.0786) loss_contra: 0.0001 (0.0028) time: 2.5875 data: 0.0025 max mem: 31671 Epoch: [25] [3560/5278] eta: 1:15:25 lr: 1.9843108614857027e-05 loss: 0.0413 (0.0493) loss_seg: 0.0449 (0.0529) loss_lansim: 0.0772 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6028 data: 0.0025 max mem: 31671 Epoch: [25] [3570/5278] eta: 1:14:58 lr: 1.9840746605591092e-05 loss: 0.0417 (0.0493) loss_seg: 0.0455 (0.0529) loss_lansim: 0.0772 (0.0786) loss_contra: 0.0001 (0.0028) time: 2.5957 data: 0.0025 max mem: 31671 Epoch: [25] [3580/5278] eta: 1:14:32 lr: 1.9838384565081035e-05 loss: 0.0417 (0.0493) loss_seg: 0.0449 (0.0529) loss_lansim: 0.0766 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5935 data: 0.0025 max mem: 31671 Epoch: [25] [3590/5278] eta: 1:14:05 lr: 1.9836022493322297e-05 loss: 0.0425 (0.0493) loss_seg: 0.0463 (0.0529) loss_lansim: 0.0766 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5825 data: 0.0024 max mem: 31671 Epoch: [25] [3600/5278] eta: 1:13:39 lr: 1.983366039031034e-05 loss: 0.0424 (0.0493) loss_seg: 0.0458 (0.0529) loss_lansim: 0.0766 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5887 data: 0.0025 max mem: 31671 Epoch: [25] [3610/5278] eta: 1:13:12 lr: 1.9831298256040603e-05 loss: 0.0458 (0.0492) loss_seg: 0.0463 (0.0529) loss_lansim: 0.0766 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5846 data: 0.0025 max mem: 31671 Epoch: [25] [3620/5278] eta: 1:12:46 lr: 1.982893609050855e-05 loss: 0.0458 (0.0492) loss_seg: 0.0463 (0.0529) loss_lansim: 0.0776 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5831 data: 0.0025 max mem: 31671 Epoch: [25] [3630/5278] eta: 1:12:19 lr: 1.982657389370962e-05 loss: 0.0433 (0.0492) loss_seg: 0.0463 (0.0528) loss_lansim: 0.0779 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5826 data: 0.0025 max mem: 31671 Epoch: [25] [3640/5278] eta: 1:11:52 lr: 1.982421166563926e-05 loss: 0.0423 (0.0492) loss_seg: 0.0457 (0.0529) loss_lansim: 0.0776 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5875 data: 0.0025 max mem: 31671 Epoch: [25] [3650/5278] eta: 1:11:26 lr: 1.9821849406292914e-05 loss: 0.0423 (0.0492) loss_seg: 0.0455 (0.0529) loss_lansim: 0.0798 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.5896 data: 0.0025 max mem: 31671 Epoch: [25] [3660/5278] eta: 1:10:59 lr: 1.9819487115666035e-05 loss: 0.0424 (0.0492) loss_seg: 0.0455 (0.0529) loss_lansim: 0.0799 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5804 data: 0.0025 max mem: 31671 Epoch: [25] [3670/5278] eta: 1:10:33 lr: 1.981712479375406e-05 loss: 0.0433 (0.0493) loss_seg: 0.0457 (0.0529) loss_lansim: 0.0801 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5841 data: 0.0025 max mem: 31671 Epoch: [25] [3680/5278] eta: 1:10:06 lr: 1.9814762440552422e-05 loss: 0.0442 (0.0493) loss_seg: 0.0472 (0.0529) loss_lansim: 0.0802 (0.0787) loss_contra: 0.0000 (0.0028) time: 2.5759 data: 0.0025 max mem: 31671 Epoch: [25] [3690/5278] eta: 1:09:40 lr: 1.981240005605658e-05 loss: 0.0433 (0.0493) loss_seg: 0.0457 (0.0530) loss_lansim: 0.0813 (0.0787) loss_contra: 0.0000 (0.0028) time: 2.5855 data: 0.0025 max mem: 31671 Epoch: [25] [3700/5278] eta: 1:09:13 lr: 1.9810037640261962e-05 loss: 0.0433 (0.0493) loss_seg: 0.0473 (0.0530) loss_lansim: 0.0818 (0.0787) loss_contra: 0.0000 (0.0028) time: 2.5791 data: 0.0026 max mem: 31671 Epoch: [25] [3710/5278] eta: 1:08:47 lr: 1.980767519316401e-05 loss: 0.0452 (0.0493) loss_seg: 0.0496 (0.0530) loss_lansim: 0.0822 (0.0787) loss_contra: 0.0000 (0.0028) time: 2.5869 data: 0.0026 max mem: 31671 Epoch: [25] [3720/5278] eta: 1:08:21 lr: 1.9805312714758156e-05 loss: 0.0467 (0.0493) loss_seg: 0.0496 (0.0530) loss_lansim: 0.0820 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.5986 data: 0.0026 max mem: 31671 Epoch: [25] [3730/5278] eta: 1:07:54 lr: 1.980295020503984e-05 loss: 0.0486 (0.0493) loss_seg: 0.0524 (0.0530) loss_lansim: 0.0810 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6030 data: 0.0026 max mem: 31671 Epoch: [25] [3740/5278] eta: 1:07:28 lr: 1.9800587664004492e-05 loss: 0.0475 (0.0493) loss_seg: 0.0523 (0.0529) loss_lansim: 0.0809 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.5983 data: 0.0026 max mem: 31671 Epoch: [25] [3750/5278] eta: 1:07:01 lr: 1.979822509164755e-05 loss: 0.0450 (0.0492) loss_seg: 0.0479 (0.0529) loss_lansim: 0.0806 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6048 data: 0.0026 max mem: 31671 Epoch: [25] [3760/5278] eta: 1:06:35 lr: 1.9795862487964447e-05 loss: 0.0456 (0.0493) loss_seg: 0.0496 (0.0529) loss_lansim: 0.0809 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6060 data: 0.0026 max mem: 31671 Epoch: [25] [3770/5278] eta: 1:06:09 lr: 1.97934998529506e-05 loss: 0.0421 (0.0493) loss_seg: 0.0462 (0.0529) loss_lansim: 0.0806 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6102 data: 0.0026 max mem: 31671 Epoch: [25] [3780/5278] eta: 1:05:42 lr: 1.9791137186601452e-05 loss: 0.0413 (0.0493) loss_seg: 0.0456 (0.0529) loss_lansim: 0.0806 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6173 data: 0.0025 max mem: 31671 Epoch: [25] [3790/5278] eta: 1:05:16 lr: 1.9788774488912433e-05 loss: 0.0408 (0.0492) loss_seg: 0.0432 (0.0529) loss_lansim: 0.0801 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6107 data: 0.0025 max mem: 31671 Epoch: [25] [3800/5278] eta: 1:04:49 lr: 1.9786411759878953e-05 loss: 0.0389 (0.0492) loss_seg: 0.0425 (0.0529) loss_lansim: 0.0786 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6137 data: 0.0025 max mem: 31671 Epoch: [25] [3810/5278] eta: 1:04:23 lr: 1.9784048999496452e-05 loss: 0.0382 (0.0492) loss_seg: 0.0418 (0.0529) loss_lansim: 0.0780 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6092 data: 0.0025 max mem: 31671 Epoch: [25] [3820/5278] eta: 1:03:57 lr: 1.978168620776035e-05 loss: 0.0375 (0.0492) loss_seg: 0.0401 (0.0528) loss_lansim: 0.0787 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6075 data: 0.0025 max mem: 31671 Epoch: [25] [3830/5278] eta: 1:03:30 lr: 1.977932338466607e-05 loss: 0.0375 (0.0492) loss_seg: 0.0400 (0.0528) loss_lansim: 0.0780 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6077 data: 0.0025 max mem: 31671 Epoch: [25] [3840/5278] eta: 1:03:04 lr: 1.977696053020903e-05 loss: 0.0385 (0.0492) loss_seg: 0.0420 (0.0528) loss_lansim: 0.0798 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6205 data: 0.0025 max mem: 31671 Epoch: [25] [3850/5278] eta: 1:02:38 lr: 1.9774597644384652e-05 loss: 0.0388 (0.0492) loss_seg: 0.0426 (0.0528) loss_lansim: 0.0798 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6144 data: 0.0025 max mem: 31671 Epoch: [25] [3860/5278] eta: 1:02:11 lr: 1.9772234727188356e-05 loss: 0.0388 (0.0492) loss_seg: 0.0425 (0.0528) loss_lansim: 0.0786 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6152 data: 0.0025 max mem: 31671 Epoch: [25] [3870/5278] eta: 1:01:45 lr: 1.9769871778615564e-05 loss: 0.0388 (0.0491) loss_seg: 0.0425 (0.0528) loss_lansim: 0.0786 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6056 data: 0.0025 max mem: 31671 Epoch: [25] [3880/5278] eta: 1:01:18 lr: 1.9767508798661683e-05 loss: 0.0390 (0.0492) loss_seg: 0.0427 (0.0528) loss_lansim: 0.0775 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6206 data: 0.0026 max mem: 31671 Epoch: [25] [3890/5278] eta: 1:00:52 lr: 1.976514578732213e-05 loss: 0.0388 (0.0491) loss_seg: 0.0426 (0.0528) loss_lansim: 0.0772 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6277 data: 0.0025 max mem: 31671 Epoch: [25] [3900/5278] eta: 1:00:26 lr: 1.9762782744592326e-05 loss: 0.0413 (0.0491) loss_seg: 0.0441 (0.0528) loss_lansim: 0.0767 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6306 data: 0.0026 max mem: 31671 Epoch: [25] [3910/5278] eta: 1:00:00 lr: 1.9760419670467683e-05 loss: 0.0413 (0.0491) loss_seg: 0.0441 (0.0528) loss_lansim: 0.0767 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6300 data: 0.0026 max mem: 31671 Epoch: [25] [3920/5278] eta: 0:59:33 lr: 1.9758056564943603e-05 loss: 0.0413 (0.0491) loss_seg: 0.0443 (0.0528) loss_lansim: 0.0765 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6270 data: 0.0026 max mem: 31671 Epoch: [25] [3930/5278] eta: 0:59:07 lr: 1.9755693428015498e-05 loss: 0.0423 (0.0492) loss_seg: 0.0454 (0.0528) loss_lansim: 0.0763 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6252 data: 0.0026 max mem: 31671 Epoch: [25] [3940/5278] eta: 0:58:40 lr: 1.9753330259678785e-05 loss: 0.0423 (0.0491) loss_seg: 0.0443 (0.0528) loss_lansim: 0.0758 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6177 data: 0.0025 max mem: 31671 Epoch: [25] [3950/5278] eta: 0:58:14 lr: 1.9750967059928863e-05 loss: 0.0421 (0.0491) loss_seg: 0.0435 (0.0528) loss_lansim: 0.0749 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6250 data: 0.0026 max mem: 31671 Epoch: [25] [3960/5278] eta: 0:57:48 lr: 1.9748603828761146e-05 loss: 0.0421 (0.0491) loss_seg: 0.0432 (0.0528) loss_lansim: 0.0746 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.6240 data: 0.0025 max mem: 31671 Epoch: [25] [3970/5278] eta: 0:57:21 lr: 1.9746240566171032e-05 loss: 0.0423 (0.0491) loss_seg: 0.0435 (0.0528) loss_lansim: 0.0749 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.6273 data: 0.0025 max mem: 31671 Epoch: [25] [3980/5278] eta: 0:56:55 lr: 1.9743877272153925e-05 loss: 0.0408 (0.0491) loss_seg: 0.0429 (0.0527) loss_lansim: 0.0758 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.6231 data: 0.0025 max mem: 31671 Epoch: [25] [3990/5278] eta: 0:56:29 lr: 1.9741513946705228e-05 loss: 0.0421 (0.0491) loss_seg: 0.0432 (0.0527) loss_lansim: 0.0765 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.6281 data: 0.0025 max mem: 31671 Epoch: [25] [4000/5278] eta: 0:56:02 lr: 1.9739150589820353e-05 loss: 0.0401 (0.0491) loss_seg: 0.0428 (0.0527) loss_lansim: 0.0772 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.6195 data: 0.0025 max mem: 31671 Epoch: [25] [4010/5278] eta: 0:55:36 lr: 1.973678720149468e-05 loss: 0.0401 (0.0491) loss_seg: 0.0429 (0.0527) loss_lansim: 0.0771 (0.0787) loss_contra: 0.0001 (0.0028) time: 2.6214 data: 0.0025 max mem: 31671 Epoch: [25] [4020/5278] eta: 0:55:10 lr: 1.973442378172362e-05 loss: 0.0408 (0.0491) loss_seg: 0.0431 (0.0527) loss_lansim: 0.0769 (0.0786) loss_contra: 0.0001 (0.0027) time: 2.6181 data: 0.0025 max mem: 31671 Epoch: [25] [4030/5278] eta: 0:54:43 lr: 1.9732060330502564e-05 loss: 0.0435 (0.0491) loss_seg: 0.0432 (0.0528) loss_lansim: 0.0761 (0.0786) loss_contra: 0.0001 (0.0027) time: 2.6216 data: 0.0025 max mem: 31671 Epoch: [25] [4040/5278] eta: 0:54:17 lr: 1.9729696847826916e-05 loss: 0.0440 (0.0491) loss_seg: 0.0465 (0.0528) loss_lansim: 0.0771 (0.0786) loss_contra: 0.0001 (0.0027) time: 2.6232 data: 0.0026 max mem: 31671 Epoch: [25] [4050/5278] eta: 0:53:51 lr: 1.9727333333692062e-05 loss: 0.0443 (0.0491) loss_seg: 0.0480 (0.0528) loss_lansim: 0.0769 (0.0786) loss_contra: 0.0001 (0.0028) time: 2.6156 data: 0.0026 max mem: 31671 Epoch: [25] [4060/5278] eta: 0:53:24 lr: 1.97249697880934e-05 loss: 0.0443 (0.0491) loss_seg: 0.0480 (0.0528) loss_lansim: 0.0761 (0.0786) loss_contra: 0.0001 (0.0028) time: 2.6184 data: 0.0026 max mem: 31671 Epoch: [25] [4070/5278] eta: 0:52:58 lr: 1.9722606211026322e-05 loss: 0.0436 (0.0491) loss_seg: 0.0465 (0.0527) loss_lansim: 0.0751 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6180 data: 0.0026 max mem: 31671 Epoch: [25] [4080/5278] eta: 0:52:31 lr: 1.972024260248622e-05 loss: 0.0440 (0.0491) loss_seg: 0.0478 (0.0527) loss_lansim: 0.0743 (0.0786) loss_contra: 0.0000 (0.0028) time: 2.6132 data: 0.0026 max mem: 31671 Epoch: [25] [4090/5278] eta: 0:52:05 lr: 1.9717878962468477e-05 loss: 0.0437 (0.0491) loss_seg: 0.0478 (0.0527) loss_lansim: 0.0731 (0.0786) loss_contra: 0.0001 (0.0028) time: 2.5973 data: 0.0027 max mem: 31671 Epoch: [25] [4100/5278] eta: 0:51:39 lr: 1.9715515290968484e-05 loss: 0.0448 (0.0491) loss_seg: 0.0487 (0.0527) loss_lansim: 0.0723 (0.0786) loss_contra: 0.0001 (0.0028) time: 2.6060 data: 0.0026 max mem: 31671 Epoch: [25] [4110/5278] eta: 0:51:12 lr: 1.9713151587981628e-05 loss: 0.0448 (0.0491) loss_seg: 0.0487 (0.0527) loss_lansim: 0.0722 (0.0786) loss_contra: 0.0001 (0.0028) time: 2.5993 data: 0.0026 max mem: 31671 Epoch: [25] [4120/5278] eta: 0:50:46 lr: 1.9710787853503305e-05 loss: 0.0443 (0.0491) loss_seg: 0.0479 (0.0527) loss_lansim: 0.0717 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6089 data: 0.0026 max mem: 31671 Epoch: [25] [4130/5278] eta: 0:50:20 lr: 1.9708424087528883e-05 loss: 0.0430 (0.0491) loss_seg: 0.0463 (0.0527) loss_lansim: 0.0713 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6113 data: 0.0026 max mem: 31671 Epoch: [25] [4140/5278] eta: 0:49:53 lr: 1.970606029005375e-05 loss: 0.0430 (0.0491) loss_seg: 0.0463 (0.0527) loss_lansim: 0.0716 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6073 data: 0.0026 max mem: 31671 Epoch: [25] [4150/5278] eta: 0:49:27 lr: 1.970369646107329e-05 loss: 0.0430 (0.0491) loss_seg: 0.0463 (0.0527) loss_lansim: 0.0722 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6019 data: 0.0025 max mem: 31671 Epoch: [25] [4160/5278] eta: 0:49:00 lr: 1.9701332600582885e-05 loss: 0.0420 (0.0491) loss_seg: 0.0441 (0.0527) loss_lansim: 0.0720 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6067 data: 0.0025 max mem: 31671 Epoch: [25] [4170/5278] eta: 0:48:34 lr: 1.9698968708577912e-05 loss: 0.0402 (0.0491) loss_seg: 0.0430 (0.0527) loss_lansim: 0.0735 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6102 data: 0.0025 max mem: 31671 Epoch: [25] [4180/5278] eta: 0:48:08 lr: 1.9696604785053742e-05 loss: 0.0391 (0.0490) loss_seg: 0.0418 (0.0527) loss_lansim: 0.0724 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6045 data: 0.0024 max mem: 31671 Epoch: [25] [4190/5278] eta: 0:47:41 lr: 1.9694240830005764e-05 loss: 0.0391 (0.0491) loss_seg: 0.0421 (0.0527) loss_lansim: 0.0754 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6081 data: 0.0024 max mem: 31671 Epoch: [25] [4200/5278] eta: 0:47:15 lr: 1.9691876843429345e-05 loss: 0.0386 (0.0491) loss_seg: 0.0414 (0.0528) loss_lansim: 0.0750 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.5995 data: 0.0025 max mem: 31671 Epoch: [25] [4210/5278] eta: 0:46:48 lr: 1.9689512825319865e-05 loss: 0.0366 (0.0491) loss_seg: 0.0384 (0.0527) loss_lansim: 0.0741 (0.0785) loss_contra: 0.0001 (0.0028) time: 2.6084 data: 0.0025 max mem: 31671 Epoch: [25] [4220/5278] eta: 0:46:22 lr: 1.9687148775672686e-05 loss: 0.0365 (0.0491) loss_seg: 0.0383 (0.0528) loss_lansim: 0.0753 (0.0785) loss_contra: 0.0000 (0.0028) time: 2.6127 data: 0.0025 max mem: 31671 Epoch: [25] [4230/5278] eta: 0:45:56 lr: 1.968478469448319e-05 loss: 0.0367 (0.0491) loss_seg: 0.0386 (0.0527) loss_lansim: 0.0754 (0.0785) loss_contra: 0.0000 (0.0028) time: 2.6076 data: 0.0024 max mem: 31671 Epoch: [25] [4240/5278] eta: 0:45:29 lr: 1.9682420581746742e-05 loss: 0.0366 (0.0491) loss_seg: 0.0384 (0.0528) loss_lansim: 0.0750 (0.0785) loss_contra: 0.0000 (0.0028) time: 2.6050 data: 0.0024 max mem: 31671 Epoch: [25] [4250/5278] eta: 0:45:03 lr: 1.968005643745871e-05 loss: 0.0367 (0.0492) loss_seg: 0.0400 (0.0528) loss_lansim: 0.0754 (0.0785) loss_contra: 0.0000 (0.0028) time: 2.6143 data: 0.0024 max mem: 31671 Epoch: [25] [4260/5278] eta: 0:44:37 lr: 1.9677692261614465e-05 loss: 0.0369 (0.0491) loss_seg: 0.0401 (0.0528) loss_lansim: 0.0754 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.6072 data: 0.0024 max mem: 31671 Epoch: [25] [4270/5278] eta: 0:44:10 lr: 1.967532805420937e-05 loss: 0.0392 (0.0491) loss_seg: 0.0405 (0.0528) loss_lansim: 0.0756 (0.0785) loss_contra: 0.0000 (0.0028) time: 2.6043 data: 0.0024 max mem: 31671 Epoch: [25] [4280/5278] eta: 0:43:44 lr: 1.967296381523879e-05 loss: 0.0392 (0.0491) loss_seg: 0.0413 (0.0528) loss_lansim: 0.0766 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.6106 data: 0.0025 max mem: 31671 Epoch: [25] [4290/5278] eta: 0:43:18 lr: 1.9670599544698098e-05 loss: 0.0382 (0.0491) loss_seg: 0.0404 (0.0528) loss_lansim: 0.0762 (0.0785) loss_contra: 0.0000 (0.0028) time: 2.6045 data: 0.0025 max mem: 31671 Epoch: [25] [4300/5278] eta: 0:42:51 lr: 1.9668235242582638e-05 loss: 0.0392 (0.0491) loss_seg: 0.0409 (0.0528) loss_lansim: 0.0756 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.6095 data: 0.0025 max mem: 31671 Epoch: [25] [4310/5278] eta: 0:42:25 lr: 1.966587090888778e-05 loss: 0.0411 (0.0491) loss_seg: 0.0432 (0.0528) loss_lansim: 0.0762 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.5958 data: 0.0025 max mem: 31671 Epoch: [25] [4320/5278] eta: 0:41:58 lr: 1.966350654360889e-05 loss: 0.0408 (0.0491) loss_seg: 0.0418 (0.0528) loss_lansim: 0.0759 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.5849 data: 0.0025 max mem: 31671 Epoch: [25] [4330/5278] eta: 0:41:32 lr: 1.966114214674132e-05 loss: 0.0408 (0.0492) loss_seg: 0.0426 (0.0528) loss_lansim: 0.0762 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.5981 data: 0.0025 max mem: 31671 Epoch: [25] [4340/5278] eta: 0:41:06 lr: 1.9658777718280425e-05 loss: 0.0412 (0.0492) loss_seg: 0.0432 (0.0528) loss_lansim: 0.0765 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.5960 data: 0.0025 max mem: 31671 Epoch: [25] [4350/5278] eta: 0:40:39 lr: 1.965641325822156e-05 loss: 0.0408 (0.0492) loss_seg: 0.0426 (0.0529) loss_lansim: 0.0757 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.5963 data: 0.0025 max mem: 31671 Epoch: [25] [4360/5278] eta: 0:40:13 lr: 1.9654048766560084e-05 loss: 0.0413 (0.0492) loss_seg: 0.0432 (0.0529) loss_lansim: 0.0761 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.6055 data: 0.0025 max mem: 31671 Epoch: [25] [4370/5278] eta: 0:39:47 lr: 1.9651684243291356e-05 loss: 0.0408 (0.0492) loss_seg: 0.0432 (0.0529) loss_lansim: 0.0759 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.6047 data: 0.0025 max mem: 31671 Epoch: [25] [4380/5278] eta: 0:39:20 lr: 1.964931968841071e-05 loss: 0.0440 (0.0492) loss_seg: 0.0466 (0.0529) loss_lansim: 0.0761 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.5967 data: 0.0025 max mem: 31671 Epoch: [25] [4390/5278] eta: 0:38:54 lr: 1.964695510191351e-05 loss: 0.0470 (0.0493) loss_seg: 0.0503 (0.0529) loss_lansim: 0.0762 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.6089 data: 0.0025 max mem: 31671 Epoch: [25] [4400/5278] eta: 0:38:28 lr: 1.9644590483795103e-05 loss: 0.0470 (0.0493) loss_seg: 0.0498 (0.0529) loss_lansim: 0.0762 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.5916 data: 0.0025 max mem: 31671 Epoch: [25] [4410/5278] eta: 0:38:01 lr: 1.964222583405084e-05 loss: 0.0476 (0.0493) loss_seg: 0.0516 (0.0529) loss_lansim: 0.0770 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.6026 data: 0.0025 max mem: 31671 Epoch: [25] [4420/5278] eta: 0:37:35 lr: 1.963986115267606e-05 loss: 0.0459 (0.0492) loss_seg: 0.0486 (0.0529) loss_lansim: 0.0769 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.6082 data: 0.0025 max mem: 31671 Epoch: [25] [4430/5278] eta: 0:37:09 lr: 1.9637496439666107e-05 loss: 0.0453 (0.0492) loss_seg: 0.0466 (0.0529) loss_lansim: 0.0769 (0.0784) loss_contra: 0.0000 (0.0028) time: 2.5953 data: 0.0025 max mem: 31671 Epoch: [25] [4440/5278] eta: 0:36:42 lr: 1.9635131695016333e-05 loss: 0.0440 (0.0493) loss_seg: 0.0453 (0.0529) loss_lansim: 0.0769 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6064 data: 0.0025 max mem: 31671 Epoch: [25] [4450/5278] eta: 0:36:16 lr: 1.9632766918722075e-05 loss: 0.0439 (0.0492) loss_seg: 0.0450 (0.0529) loss_lansim: 0.0769 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5979 data: 0.0025 max mem: 31671 Epoch: [25] [4460/5278] eta: 0:35:49 lr: 1.9630402110778685e-05 loss: 0.0439 (0.0492) loss_seg: 0.0453 (0.0529) loss_lansim: 0.0769 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5834 data: 0.0025 max mem: 31671 Epoch: [25] [4470/5278] eta: 0:35:23 lr: 1.9628037271181488e-05 loss: 0.0415 (0.0492) loss_seg: 0.0444 (0.0529) loss_lansim: 0.0763 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5933 data: 0.0025 max mem: 31671 Epoch: [25] [4480/5278] eta: 0:34:57 lr: 1.9625672399925828e-05 loss: 0.0387 (0.0492) loss_seg: 0.0420 (0.0529) loss_lansim: 0.0763 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5918 data: 0.0025 max mem: 31671 Epoch: [25] [4490/5278] eta: 0:34:31 lr: 1.9623307497007042e-05 loss: 0.0387 (0.0492) loss_seg: 0.0411 (0.0529) loss_lansim: 0.0761 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5953 data: 0.0025 max mem: 31671 Epoch: [25] [4500/5278] eta: 0:34:04 lr: 1.9620942562420477e-05 loss: 0.0387 (0.0492) loss_seg: 0.0403 (0.0529) loss_lansim: 0.0767 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6074 data: 0.0024 max mem: 31671 Epoch: [25] [4510/5278] eta: 0:33:38 lr: 1.9618577596161452e-05 loss: 0.0404 (0.0492) loss_seg: 0.0420 (0.0529) loss_lansim: 0.0761 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6183 data: 0.0025 max mem: 31671 Epoch: [25] [4520/5278] eta: 0:33:12 lr: 1.9616212598225306e-05 loss: 0.0415 (0.0492) loss_seg: 0.0453 (0.0529) loss_lansim: 0.0763 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6150 data: 0.0025 max mem: 31671 Epoch: [25] [4530/5278] eta: 0:32:46 lr: 1.9613847568607373e-05 loss: 0.0415 (0.0492) loss_seg: 0.0447 (0.0529) loss_lansim: 0.0761 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6181 data: 0.0025 max mem: 31671 Epoch: [25] [4540/5278] eta: 0:32:19 lr: 1.9611482507302988e-05 loss: 0.0415 (0.0492) loss_seg: 0.0447 (0.0528) loss_lansim: 0.0763 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6150 data: 0.0024 max mem: 31671 Epoch: [25] [4550/5278] eta: 0:31:53 lr: 1.9609117414307472e-05 loss: 0.0424 (0.0492) loss_seg: 0.0456 (0.0528) loss_lansim: 0.0761 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6213 data: 0.0024 max mem: 31671 Epoch: [25] [4560/5278] eta: 0:31:27 lr: 1.9606752289616152e-05 loss: 0.0411 (0.0492) loss_seg: 0.0447 (0.0528) loss_lansim: 0.0773 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6244 data: 0.0024 max mem: 31671 Epoch: [25] [4570/5278] eta: 0:31:00 lr: 1.9604387133224363e-05 loss: 0.0411 (0.0492) loss_seg: 0.0447 (0.0528) loss_lansim: 0.0761 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6145 data: 0.0024 max mem: 31671 Epoch: [25] [4580/5278] eta: 0:30:34 lr: 1.9602021945127434e-05 loss: 0.0415 (0.0492) loss_seg: 0.0447 (0.0528) loss_lansim: 0.0758 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6202 data: 0.0024 max mem: 31671 Epoch: [25] [4590/5278] eta: 0:30:08 lr: 1.9599656725320673e-05 loss: 0.0414 (0.0492) loss_seg: 0.0446 (0.0529) loss_lansim: 0.0758 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6147 data: 0.0024 max mem: 31671 Epoch: [25] [4600/5278] eta: 0:29:41 lr: 1.9597291473799414e-05 loss: 0.0414 (0.0492) loss_seg: 0.0439 (0.0528) loss_lansim: 0.0758 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.6162 data: 0.0024 max mem: 31671 Epoch: [25] [4610/5278] eta: 0:29:15 lr: 1.959492619055898e-05 loss: 0.0405 (0.0492) loss_seg: 0.0427 (0.0528) loss_lansim: 0.0757 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5951 data: 0.0024 max mem: 31671 Epoch: [25] [4620/5278] eta: 0:28:49 lr: 1.959256087559469e-05 loss: 0.0421 (0.0492) loss_seg: 0.0446 (0.0529) loss_lansim: 0.0754 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5966 data: 0.0025 max mem: 31671 Epoch: [25] [4630/5278] eta: 0:28:22 lr: 1.9590195528901857e-05 loss: 0.0414 (0.0492) loss_seg: 0.0432 (0.0528) loss_lansim: 0.0769 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5943 data: 0.0025 max mem: 31671 Epoch: [25] [4640/5278] eta: 0:27:56 lr: 1.95878301504758e-05 loss: 0.0421 (0.0492) loss_seg: 0.0446 (0.0529) loss_lansim: 0.0762 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5820 data: 0.0025 max mem: 31671 Epoch: [25] [4650/5278] eta: 0:27:30 lr: 1.9585464740311843e-05 loss: 0.0421 (0.0492) loss_seg: 0.0446 (0.0528) loss_lansim: 0.0777 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5873 data: 0.0025 max mem: 31671 Epoch: [25] [4660/5278] eta: 0:27:03 lr: 1.95830992984053e-05 loss: 0.0425 (0.0493) loss_seg: 0.0455 (0.0530) loss_lansim: 0.0777 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5885 data: 0.0025 max mem: 31671 Epoch: [25] [4670/5278] eta: 0:26:37 lr: 1.9580733824751475e-05 loss: 0.0426 (0.0494) loss_seg: 0.0462 (0.0530) loss_lansim: 0.0781 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5876 data: 0.0025 max mem: 31671 Epoch: [25] [4680/5278] eta: 0:26:11 lr: 1.9578368319345686e-05 loss: 0.0426 (0.0493) loss_seg: 0.0466 (0.0530) loss_lansim: 0.0784 (0.0784) loss_contra: 0.0000 (0.0027) time: 2.5906 data: 0.0025 max mem: 31671 Epoch: [25] [4690/5278] eta: 0:25:44 lr: 1.9576002782183243e-05 loss: 0.0430 (0.0494) loss_seg: 0.0469 (0.0530) loss_lansim: 0.0812 (0.0785) loss_contra: 0.0000 (0.0027) time: 2.5824 data: 0.0025 max mem: 31671 Epoch: [25] [4700/5278] eta: 0:25:18 lr: 1.957363721325946e-05 loss: 0.0425 (0.0493) loss_seg: 0.0466 (0.0530) loss_lansim: 0.0815 (0.0785) loss_contra: 0.0000 (0.0027) time: 2.5846 data: 0.0025 max mem: 31671 Epoch: [25] [4710/5278] eta: 0:24:52 lr: 1.9571271612569648e-05 loss: 0.0420 (0.0493) loss_seg: 0.0462 (0.0530) loss_lansim: 0.0818 (0.0785) loss_contra: 0.0000 (0.0027) time: 2.5932 data: 0.0025 max mem: 31671 Epoch: [25] [4720/5278] eta: 0:24:25 lr: 1.95689059801091e-05 loss: 0.0405 (0.0493) loss_seg: 0.0446 (0.0530) loss_lansim: 0.0827 (0.0785) loss_contra: 0.0000 (0.0026) time: 2.5793 data: 0.0025 max mem: 31671 Epoch: [25] [4730/5278] eta: 0:23:59 lr: 1.9566540315873134e-05 loss: 0.0425 (0.0493) loss_seg: 0.0469 (0.0530) loss_lansim: 0.0818 (0.0785) loss_contra: 0.0000 (0.0027) time: 2.5795 data: 0.0025 max mem: 31671 Epoch: [25] [4740/5278] eta: 0:23:33 lr: 1.956417461985705e-05 loss: 0.0433 (0.0493) loss_seg: 0.0471 (0.0530) loss_lansim: 0.0815 (0.0785) loss_contra: 0.0000 (0.0027) time: 2.5894 data: 0.0025 max mem: 31671 Epoch: [25] [4750/5278] eta: 0:23:06 lr: 1.956180889205616e-05 loss: 0.0423 (0.0493) loss_seg: 0.0462 (0.0530) loss_lansim: 0.0815 (0.0785) loss_contra: 0.0001 (0.0027) time: 2.5923 data: 0.0025 max mem: 31671 Epoch: [25] [4760/5278] eta: 0:22:40 lr: 1.9559443132465747e-05 loss: 0.0413 (0.0493) loss_seg: 0.0450 (0.0530) loss_lansim: 0.0813 (0.0785) loss_contra: 0.0001 (0.0027) time: 2.5970 data: 0.0025 max mem: 31671 Epoch: [25] [4770/5278] eta: 0:22:14 lr: 1.9557077341081126e-05 loss: 0.0423 (0.0493) loss_seg: 0.0454 (0.0530) loss_lansim: 0.0818 (0.0785) loss_contra: 0.0001 (0.0026) time: 2.6019 data: 0.0025 max mem: 31671 Epoch: [25] [4780/5278] eta: 0:21:48 lr: 1.9554711517897592e-05 loss: 0.0423 (0.0493) loss_seg: 0.0450 (0.0530) loss_lansim: 0.0824 (0.0785) loss_contra: 0.0001 (0.0026) time: 2.5956 data: 0.0025 max mem: 31671 Epoch: [25] [4790/5278] eta: 0:21:21 lr: 1.955234566291045e-05 loss: 0.0405 (0.0493) loss_seg: 0.0444 (0.0530) loss_lansim: 0.0812 (0.0785) loss_contra: 0.0000 (0.0026) time: 2.6006 data: 0.0025 max mem: 31671 Epoch: [25] [4800/5278] eta: 0:20:55 lr: 1.9549979776114978e-05 loss: 0.0413 (0.0493) loss_seg: 0.0446 (0.0530) loss_lansim: 0.0812 (0.0785) loss_contra: 0.0000 (0.0026) time: 2.6067 data: 0.0025 max mem: 31671 Epoch: [25] [4810/5278] eta: 0:20:29 lr: 1.954761385750649e-05 loss: 0.0434 (0.0493) loss_seg: 0.0450 (0.0530) loss_lansim: 0.0812 (0.0785) loss_contra: 0.0000 (0.0026) time: 2.6044 data: 0.0025 max mem: 31671 Epoch: [25] [4820/5278] eta: 0:20:02 lr: 1.954524790708027e-05 loss: 0.0409 (0.0493) loss_seg: 0.0435 (0.0530) loss_lansim: 0.0810 (0.0785) loss_contra: 0.0000 (0.0026) time: 2.6175 data: 0.0025 max mem: 31671 Epoch: [25] [4830/5278] eta: 0:19:36 lr: 1.9542881924831623e-05 loss: 0.0404 (0.0493) loss_seg: 0.0434 (0.0530) loss_lansim: 0.0819 (0.0786) loss_contra: 0.0000 (0.0026) time: 2.6197 data: 0.0025 max mem: 31671 Epoch: [25] [4840/5278] eta: 0:19:10 lr: 1.954051591075582e-05 loss: 0.0386 (0.0493) loss_seg: 0.0423 (0.0529) loss_lansim: 0.0821 (0.0786) loss_contra: 0.0000 (0.0026) time: 2.6220 data: 0.0025 max mem: 31671 Epoch: [25] [4850/5278] eta: 0:18:44 lr: 1.9538149864848164e-05 loss: 0.0409 (0.0493) loss_seg: 0.0434 (0.0530) loss_lansim: 0.0819 (0.0786) loss_contra: 0.0000 (0.0026) time: 2.6080 data: 0.0025 max mem: 31671 Epoch: [25] [4860/5278] eta: 0:18:17 lr: 1.9535783787103937e-05 loss: 0.0409 (0.0493) loss_seg: 0.0434 (0.0529) loss_lansim: 0.0821 (0.0786) loss_contra: 0.0000 (0.0026) time: 2.6106 data: 0.0025 max mem: 31671 Epoch: [25] [4870/5278] eta: 0:17:51 lr: 1.9533417677518437e-05 loss: 0.0386 (0.0493) loss_seg: 0.0420 (0.0529) loss_lansim: 0.0816 (0.0786) loss_contra: 0.0000 (0.0026) time: 2.6092 data: 0.0025 max mem: 31671 Epoch: [25] [4880/5278] eta: 0:17:25 lr: 1.9531051536086938e-05 loss: 0.0397 (0.0492) loss_seg: 0.0420 (0.0529) loss_lansim: 0.0801 (0.0786) loss_contra: 0.0000 (0.0026) time: 2.6193 data: 0.0025 max mem: 31671 Epoch: [25] [4890/5278] eta: 0:16:58 lr: 1.9528685362804734e-05 loss: 0.0418 (0.0493) loss_seg: 0.0428 (0.0530) loss_lansim: 0.0808 (0.0786) loss_contra: 0.0000 (0.0026) time: 2.6128 data: 0.0025 max mem: 31671 Epoch: [25] [4900/5278] eta: 0:16:32 lr: 1.9526319157667097e-05 loss: 0.0418 (0.0493) loss_seg: 0.0432 (0.0530) loss_lansim: 0.0790 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.6017 data: 0.0025 max mem: 31671 Epoch: [25] [4910/5278] eta: 0:16:06 lr: 1.9523952920669316e-05 loss: 0.0418 (0.0493) loss_seg: 0.0456 (0.0530) loss_lansim: 0.0801 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.6012 data: 0.0025 max mem: 31671 Epoch: [25] [4920/5278] eta: 0:15:40 lr: 1.952158665180668e-05 loss: 0.0435 (0.0493) loss_seg: 0.0474 (0.0530) loss_lansim: 0.0804 (0.0786) loss_contra: 0.0001 (0.0027) time: 2.6022 data: 0.0025 max mem: 31671 Epoch: [25] [4930/5278] eta: 0:15:13 lr: 1.951922035107445e-05 loss: 0.0437 (0.0493) loss_seg: 0.0475 (0.0530) loss_lansim: 0.0798 (0.0786) loss_contra: 0.0001 (0.0027) time: 2.5963 data: 0.0025 max mem: 31671 Epoch: [25] [4940/5278] eta: 0:14:47 lr: 1.9516854018467917e-05 loss: 0.0450 (0.0493) loss_seg: 0.0492 (0.0530) loss_lansim: 0.0790 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.5962 data: 0.0025 max mem: 31671 Epoch: [25] [4950/5278] eta: 0:14:21 lr: 1.9514487653982353e-05 loss: 0.0446 (0.0493) loss_seg: 0.0475 (0.0529) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0001 (0.0027) time: 2.6031 data: 0.0025 max mem: 31671 Epoch: [25] [4960/5278] eta: 0:13:55 lr: 1.9512121257613036e-05 loss: 0.0449 (0.0493) loss_seg: 0.0475 (0.0530) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.5958 data: 0.0025 max mem: 31671 Epoch: [25] [4970/5278] eta: 0:13:28 lr: 1.9509754829355232e-05 loss: 0.0451 (0.0493) loss_seg: 0.0481 (0.0530) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.5885 data: 0.0025 max mem: 31671 Epoch: [25] [4980/5278] eta: 0:13:02 lr: 1.9507388369204226e-05 loss: 0.0474 (0.0493) loss_seg: 0.0494 (0.0530) loss_lansim: 0.0783 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.5801 data: 0.0025 max mem: 31671 Epoch: [25] [4990/5278] eta: 0:12:36 lr: 1.9505021877155273e-05 loss: 0.0452 (0.0493) loss_seg: 0.0481 (0.0530) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.5881 data: 0.0025 max mem: 31671 Epoch: [25] [5000/5278] eta: 0:12:09 lr: 1.9502655353203665e-05 loss: 0.0446 (0.0493) loss_seg: 0.0471 (0.0530) loss_lansim: 0.0783 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.5960 data: 0.0025 max mem: 31671 Epoch: [25] [5010/5278] eta: 0:11:43 lr: 1.9500288797344647e-05 loss: 0.0446 (0.0493) loss_seg: 0.0475 (0.0530) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.6012 data: 0.0025 max mem: 31671 Epoch: [25] [5020/5278] eta: 0:11:17 lr: 1.94979222095735e-05 loss: 0.0452 (0.0493) loss_seg: 0.0475 (0.0530) loss_lansim: 0.0775 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.5905 data: 0.0025 max mem: 31671 Epoch: [25] [5030/5278] eta: 0:10:51 lr: 1.9495555589885485e-05 loss: 0.0450 (0.0493) loss_seg: 0.0475 (0.0530) loss_lansim: 0.0779 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.6005 data: 0.0025 max mem: 31671 Epoch: [25] [5040/5278] eta: 0:10:24 lr: 1.949318893827587e-05 loss: 0.0430 (0.0493) loss_seg: 0.0460 (0.0530) loss_lansim: 0.0785 (0.0786) loss_contra: 0.0001 (0.0026) time: 2.5939 data: 0.0025 max mem: 31671 Epoch: [25] [5050/5278] eta: 0:09:58 lr: 1.9490822254739914e-05 loss: 0.0420 (0.0493) loss_seg: 0.0457 (0.0530) loss_lansim: 0.0791 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5900 data: 0.0025 max mem: 31671 Epoch: [25] [5060/5278] eta: 0:09:32 lr: 1.9488455539272882e-05 loss: 0.0420 (0.0493) loss_seg: 0.0457 (0.0530) loss_lansim: 0.0787 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5934 data: 0.0025 max mem: 31671 Epoch: [25] [5070/5278] eta: 0:09:06 lr: 1.9486088791870032e-05 loss: 0.0430 (0.0493) loss_seg: 0.0460 (0.0530) loss_lansim: 0.0787 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5972 data: 0.0025 max mem: 31671 Epoch: [25] [5080/5278] eta: 0:08:39 lr: 1.948372201252663e-05 loss: 0.0415 (0.0493) loss_seg: 0.0455 (0.0530) loss_lansim: 0.0787 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5914 data: 0.0025 max mem: 31671 Epoch: [25] [5090/5278] eta: 0:08:13 lr: 1.948135520123792e-05 loss: 0.0420 (0.0493) loss_seg: 0.0457 (0.0530) loss_lansim: 0.0791 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5808 data: 0.0025 max mem: 31671 Epoch: [25] [5100/5278] eta: 0:07:47 lr: 1.947898835799917e-05 loss: 0.0464 (0.0494) loss_seg: 0.0485 (0.0530) loss_lansim: 0.0791 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.5709 data: 0.0025 max mem: 31671 Epoch: [25] [5110/5278] eta: 0:07:20 lr: 1.9476621482805632e-05 loss: 0.0445 (0.0494) loss_seg: 0.0481 (0.0530) loss_lansim: 0.0791 (0.0787) loss_contra: 0.0000 (0.0027) time: 2.5635 data: 0.0026 max mem: 31671 Epoch: [25] [5120/5278] eta: 0:06:54 lr: 1.947425457565256e-05 loss: 0.0437 (0.0494) loss_seg: 0.0473 (0.0530) loss_lansim: 0.0787 (0.0786) loss_contra: 0.0000 (0.0027) time: 2.5593 data: 0.0025 max mem: 31671 Epoch: [25] [5130/5278] eta: 0:06:28 lr: 1.9471887636535204e-05 loss: 0.0440 (0.0494) loss_seg: 0.0473 (0.0530) loss_lansim: 0.0787 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [25] [5140/5278] eta: 0:06:02 lr: 1.9469520665448818e-05 loss: 0.0445 (0.0494) loss_seg: 0.0473 (0.0530) loss_lansim: 0.0787 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.5452 data: 0.0025 max mem: 31671 Epoch: [25] [5150/5278] eta: 0:05:35 lr: 1.946715366238865e-05 loss: 0.0448 (0.0494) loss_seg: 0.0476 (0.0530) loss_lansim: 0.0791 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [25] [5160/5278] eta: 0:05:09 lr: 1.9464786627349947e-05 loss: 0.0452 (0.0494) loss_seg: 0.0493 (0.0531) loss_lansim: 0.0792 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.5232 data: 0.0025 max mem: 31671 Epoch: [25] [5170/5278] eta: 0:04:43 lr: 1.9462419560327962e-05 loss: 0.0451 (0.0494) loss_seg: 0.0486 (0.0531) loss_lansim: 0.0786 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [25] [5180/5278] eta: 0:04:17 lr: 1.9460052461317933e-05 loss: 0.0440 (0.0494) loss_seg: 0.0473 (0.0530) loss_lansim: 0.0789 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [25] [5190/5278] eta: 0:03:50 lr: 1.9457685330315105e-05 loss: 0.0445 (0.0494) loss_seg: 0.0474 (0.0530) loss_lansim: 0.0793 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.5518 data: 0.0026 max mem: 31671 Epoch: [25] [5200/5278] eta: 0:03:24 lr: 1.9455318167314726e-05 loss: 0.0445 (0.0494) loss_seg: 0.0473 (0.0531) loss_lansim: 0.0789 (0.0787) loss_contra: 0.0001 (0.0027) time: 2.5620 data: 0.0026 max mem: 31671 Epoch: [25] [5210/5278] eta: 0:02:58 lr: 1.945295097231204e-05 loss: 0.0453 (0.0494) loss_seg: 0.0474 (0.0531) loss_lansim: 0.0796 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.5693 data: 0.0025 max mem: 31671 Epoch: [25] [5220/5278] eta: 0:02:32 lr: 1.9450583745302274e-05 loss: 0.0466 (0.0494) loss_seg: 0.0476 (0.0531) loss_lansim: 0.0804 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.5712 data: 0.0025 max mem: 31671 Epoch: [25] [5230/5278] eta: 0:02:05 lr: 1.9448216486280678e-05 loss: 0.0466 (0.0494) loss_seg: 0.0476 (0.0531) loss_lansim: 0.0804 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.5835 data: 0.0026 max mem: 31671 Epoch: [25] [5240/5278] eta: 0:01:39 lr: 1.9445849195242487e-05 loss: 0.0451 (0.0494) loss_seg: 0.0476 (0.0530) loss_lansim: 0.0804 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.5918 data: 0.0025 max mem: 31671 Epoch: [25] [5250/5278] eta: 0:01:13 lr: 1.9443481872182944e-05 loss: 0.0451 (0.0494) loss_seg: 0.0488 (0.0531) loss_lansim: 0.0797 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.6163 data: 0.0026 max mem: 31671 Epoch: [25] [5260/5278] eta: 0:00:47 lr: 1.9441114517097267e-05 loss: 0.0434 (0.0494) loss_seg: 0.0459 (0.0531) loss_lansim: 0.0791 (0.0787) loss_contra: 0.0000 (0.0026) time: 2.6445 data: 0.0026 max mem: 31671 Epoch: [25] [5270/5278] eta: 0:00:20 lr: 1.94387471299807e-05 loss: 0.0439 (0.0494) loss_seg: 0.0459 (0.0531) loss_lansim: 0.0793 (0.0787) loss_contra: 0.0001 (0.0026) time: 2.6512 data: 0.0025 max mem: 31671 Epoch: [25] Total time: 3:50:49 Test: [ 0/2573] eta: 1:32:42 time: 2.1618 data: 1.9518 max mem: 31671 Test: [ 100/2573] eta: 0:06:46 time: 0.1445 data: 0.0016 max mem: 31671 Test: [ 200/2573] eta: 0:06:12 time: 0.1497 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:47 time: 0.1442 data: 0.0017 max mem: 31671 Test: [ 400/2573] eta: 0:05:28 time: 0.1462 data: 0.0017 max mem: 31671 Test: [ 500/2573] eta: 0:05:11 time: 0.1472 data: 0.0017 max mem: 31671 Test: [ 600/2573] eta: 0:04:57 time: 0.1530 data: 0.0017 max mem: 31671 Test: [ 700/2573] eta: 0:04:43 time: 0.1536 data: 0.0018 max mem: 31671 Test: [ 800/2573] eta: 0:04:27 time: 0.1483 data: 0.0017 max mem: 31671 Test: [ 900/2573] eta: 0:04:12 time: 0.1493 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:56 time: 0.1463 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:40 time: 0.1458 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:25 time: 0.1482 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:10 time: 0.1463 data: 0.0017 max mem: 31671 Test: [1400/2573] eta: 0:02:54 time: 0.1437 data: 0.0017 max mem: 31671 Test: [1500/2573] eta: 0:02:39 time: 0.1471 data: 0.0017 max mem: 31671 Test: [1600/2573] eta: 0:02:24 time: 0.1498 data: 0.0017 max mem: 31671 Test: [1700/2573] eta: 0:02:10 time: 0.1499 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:55 time: 0.1458 data: 0.0017 max mem: 31671 Test: [1900/2573] eta: 0:01:40 time: 0.1462 data: 0.0017 max mem: 31671 Test: [2000/2573] eta: 0:01:25 time: 0.1471 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:10 time: 0.1476 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:55 time: 0.1431 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1475 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1461 data: 0.0017 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1501 data: 0.0016 max mem: 31671 Test: Total time: 0:06:21 Final results: precision@0.5 = 69.40 precision@0.6 = 64.73 precision@0.7 = 57.80 precision@0.8 = 46.41 precision@0.9 = 22.86 overall IoU = 59.42 mean IoU = 61.57 Average object IoU 0.6157120086105096 Overall IoU 59.42058267531345 Better epoch: 25 The best_performance is 59.42058267531345 Epoch: [26] [ 0/5278] eta: 6:19:52 lr: 1.9436853197222008e-05 loss: 0.0355 (0.0355) loss_seg: 0.0391 (0.0391) loss_lansim: 0.0646 (0.0646) loss_contra: 0.0001 (0.0001) time: 4.3183 data: 1.3504 max mem: 31671 Epoch: [26] [ 10/5278] eta: 4:09:02 lr: 1.9434485752437823e-05 loss: 0.0362 (0.0376) loss_seg: 0.0398 (0.0410) loss_lansim: 0.0755 (0.0744) loss_contra: 0.0001 (0.0017) time: 2.8364 data: 0.1248 max mem: 31671 Epoch: [26] [ 20/5278] eta: 4:02:49 lr: 1.9432118275609392e-05 loss: 0.0381 (0.0478) loss_seg: 0.0419 (0.0520) loss_lansim: 0.0764 (0.0759) loss_contra: 0.0001 (0.0030) time: 2.7709 data: 0.0662 max mem: 31671 Epoch: [26] [ 30/5278] eta: 3:59:54 lr: 1.9429750766731952e-05 loss: 0.0381 (0.0455) loss_seg: 0.0419 (0.0495) loss_lansim: 0.0782 (0.0779) loss_contra: 0.0001 (0.0021) time: 2.7428 data: 0.0458 max mem: 31671 Epoch: [26] [ 40/5278] eta: 3:58:41 lr: 1.9427383225800718e-05 loss: 0.0422 (0.0472) loss_seg: 0.0462 (0.0510) loss_lansim: 0.0789 (0.0784) loss_contra: 0.0001 (0.0017) time: 2.7342 data: 0.0352 max mem: 31671 Epoch: [26] [ 50/5278] eta: 3:56:09 lr: 1.9425015652810917e-05 loss: 0.0447 (0.0474) loss_seg: 0.0475 (0.0514) loss_lansim: 0.0792 (0.0792) loss_contra: 0.0001 (0.0020) time: 2.7102 data: 0.0288 max mem: 31671 Epoch: [26] [ 60/5278] eta: 3:54:20 lr: 1.942264804775778e-05 loss: 0.0420 (0.0459) loss_seg: 0.0461 (0.0498) loss_lansim: 0.0807 (0.0795) loss_contra: 0.0001 (0.0018) time: 2.6947 data: 0.0245 max mem: 31671 Epoch: [26] [ 70/5278] eta: 3:53:09 lr: 1.9420280410636534e-05 loss: 0.0417 (0.0454) loss_seg: 0.0449 (0.0491) loss_lansim: 0.0807 (0.0796) loss_contra: 0.0000 (0.0016) time: 2.6863 data: 0.0215 max mem: 31671 Epoch: [26] [ 80/5278] eta: 3:51:57 lr: 1.9417912741442388e-05 loss: 0.0397 (0.0451) loss_seg: 0.0432 (0.0488) loss_lansim: 0.0795 (0.0796) loss_contra: 0.0000 (0.0014) time: 2.6775 data: 0.0191 max mem: 31671 Epoch: [26] [ 90/5278] eta: 3:51:05 lr: 1.9415545040170562e-05 loss: 0.0417 (0.0474) loss_seg: 0.0449 (0.0513) loss_lansim: 0.0807 (0.0802) loss_contra: 0.0001 (0.0013) time: 2.6725 data: 0.0173 max mem: 31671 Epoch: [26] [ 100/5278] eta: 3:50:23 lr: 1.9413177306816285e-05 loss: 0.0397 (0.0462) loss_seg: 0.0432 (0.0499) loss_lansim: 0.0799 (0.0799) loss_contra: 0.0000 (0.0014) time: 2.6531 data: 0.0025 max mem: 31671 Epoch: [26] [ 110/5278] eta: 3:49:06 lr: 1.9410809541374774e-05 loss: 0.0420 (0.0468) loss_seg: 0.0449 (0.0505) loss_lansim: 0.0807 (0.0802) loss_contra: 0.0001 (0.0013) time: 2.6404 data: 0.0026 max mem: 31671 Epoch: [26] [ 120/5278] eta: 3:48:34 lr: 1.9408441743841235e-05 loss: 0.0391 (0.0459) loss_seg: 0.0429 (0.0496) loss_lansim: 0.0806 (0.0801) loss_contra: 0.0000 (0.0012) time: 2.6354 data: 0.0027 max mem: 31671 Epoch: [26] [ 130/5278] eta: 3:48:10 lr: 1.9406073914210886e-05 loss: 0.0394 (0.0460) loss_seg: 0.0430 (0.0496) loss_lansim: 0.0804 (0.0800) loss_contra: 0.0000 (0.0011) time: 2.6336 data: 0.0026 max mem: 31671 Epoch: [26] [ 140/5278] eta: 3:47:26 lr: 1.9403706052478948e-05 loss: 0.0385 (0.0461) loss_seg: 0.0419 (0.0497) loss_lansim: 0.0799 (0.0798) loss_contra: 0.0000 (0.0011) time: 2.6239 data: 0.0027 max mem: 31671 Epoch: [26] [ 150/5278] eta: 3:47:14 lr: 1.9401338158640632e-05 loss: 0.0373 (0.0457) loss_seg: 0.0406 (0.0493) loss_lansim: 0.0791 (0.0799) loss_contra: 0.0000 (0.0010) time: 2.6327 data: 0.0027 max mem: 31671 Epoch: [26] [ 160/5278] eta: 3:47:02 lr: 1.9398970232691135e-05 loss: 0.0380 (0.0457) loss_seg: 0.0411 (0.0493) loss_lansim: 0.0791 (0.0802) loss_contra: 0.0000 (0.0010) time: 2.6417 data: 0.0027 max mem: 31671 Epoch: [26] [ 170/5278] eta: 3:46:17 lr: 1.9396602274625678e-05 loss: 0.0380 (0.0453) loss_seg: 0.0407 (0.0488) loss_lansim: 0.0788 (0.0800) loss_contra: 0.0000 (0.0009) time: 2.6382 data: 0.0027 max mem: 31671 Epoch: [26] [ 180/5278] eta: 3:45:36 lr: 1.9394234284439465e-05 loss: 0.0383 (0.0452) loss_seg: 0.0411 (0.0486) loss_lansim: 0.0783 (0.0800) loss_contra: 0.0000 (0.0010) time: 2.6373 data: 0.0027 max mem: 31671 Epoch: [26] [ 190/5278] eta: 3:44:54 lr: 1.939186626212771e-05 loss: 0.0368 (0.0448) loss_seg: 0.0399 (0.0483) loss_lansim: 0.0771 (0.0798) loss_contra: 0.0000 (0.0014) time: 2.6337 data: 0.0027 max mem: 31671 Epoch: [26] [ 200/5278] eta: 3:44:37 lr: 1.938949820768561e-05 loss: 0.0371 (0.0444) loss_seg: 0.0399 (0.0478) loss_lansim: 0.0771 (0.0798) loss_contra: 0.0000 (0.0014) time: 2.6382 data: 0.0027 max mem: 31671 Epoch: [26] [ 210/5278] eta: 3:43:51 lr: 1.9387130121108373e-05 loss: 0.0373 (0.0449) loss_seg: 0.0404 (0.0484) loss_lansim: 0.0766 (0.0795) loss_contra: 0.0000 (0.0013) time: 2.6394 data: 0.0027 max mem: 31671 Epoch: [26] [ 220/5278] eta: 3:43:27 lr: 1.9384762002391195e-05 loss: 0.0362 (0.0443) loss_seg: 0.0391 (0.0478) loss_lansim: 0.0764 (0.0791) loss_contra: 0.0000 (0.0013) time: 2.6408 data: 0.0027 max mem: 31671 Epoch: [26] [ 230/5278] eta: 3:42:47 lr: 1.9382393851529283e-05 loss: 0.0362 (0.0454) loss_seg: 0.0391 (0.0490) loss_lansim: 0.0768 (0.0793) loss_contra: 0.0000 (0.0012) time: 2.6333 data: 0.0027 max mem: 31671 Epoch: [26] [ 240/5278] eta: 3:42:06 lr: 1.938002566851784e-05 loss: 0.0371 (0.0456) loss_seg: 0.0399 (0.0493) loss_lansim: 0.0766 (0.0791) loss_contra: 0.0000 (0.0012) time: 2.6302 data: 0.0027 max mem: 31671 Epoch: [26] [ 250/5278] eta: 3:41:15 lr: 1.9377657453352052e-05 loss: 0.0386 (0.0459) loss_seg: 0.0424 (0.0494) loss_lansim: 0.0769 (0.0790) loss_contra: 0.0000 (0.0012) time: 2.6122 data: 0.0026 max mem: 31671 Epoch: [26] [ 260/5278] eta: 3:40:44 lr: 1.9375289206027128e-05 loss: 0.0388 (0.0459) loss_seg: 0.0426 (0.0494) loss_lansim: 0.0769 (0.0791) loss_contra: 0.0000 (0.0012) time: 2.6033 data: 0.0027 max mem: 31671 Epoch: [26] [ 270/5278] eta: 3:40:12 lr: 1.937292092653826e-05 loss: 0.0432 (0.0461) loss_seg: 0.0450 (0.0496) loss_lansim: 0.0768 (0.0791) loss_contra: 0.0000 (0.0011) time: 2.6041 data: 0.0026 max mem: 31671 Epoch: [26] [ 280/5278] eta: 3:39:43 lr: 1.937055261488064e-05 loss: 0.0432 (0.0458) loss_seg: 0.0447 (0.0493) loss_lansim: 0.0764 (0.0789) loss_contra: 0.0000 (0.0011) time: 2.6063 data: 0.0026 max mem: 31671 Epoch: [26] [ 290/5278] eta: 3:39:12 lr: 1.9368184271049464e-05 loss: 0.0424 (0.0456) loss_seg: 0.0438 (0.0491) loss_lansim: 0.0763 (0.0789) loss_contra: 0.0000 (0.0011) time: 2.6075 data: 0.0026 max mem: 31671 Epoch: [26] [ 300/5278] eta: 3:38:48 lr: 1.936581589503992e-05 loss: 0.0438 (0.0455) loss_seg: 0.0442 (0.0489) loss_lansim: 0.0761 (0.0789) loss_contra: 0.0000 (0.0011) time: 2.6039 data: 0.0026 max mem: 31671 Epoch: [26] [ 310/5278] eta: 3:38:17 lr: 1.9363447486847196e-05 loss: 0.0399 (0.0452) loss_seg: 0.0433 (0.0486) loss_lansim: 0.0764 (0.0790) loss_contra: 0.0000 (0.0010) time: 2.6076 data: 0.0026 max mem: 31671 Epoch: [26] [ 320/5278] eta: 3:38:00 lr: 1.9361079046466495e-05 loss: 0.0433 (0.0453) loss_seg: 0.0447 (0.0487) loss_lansim: 0.0769 (0.0790) loss_contra: 0.0000 (0.0010) time: 2.6108 data: 0.0026 max mem: 31671 Epoch: [26] [ 330/5278] eta: 3:37:38 lr: 1.935871057389299e-05 loss: 0.0411 (0.0449) loss_seg: 0.0433 (0.0483) loss_lansim: 0.0769 (0.0791) loss_contra: 0.0000 (0.0012) time: 2.6184 data: 0.0025 max mem: 31671 Epoch: [26] [ 340/5278] eta: 3:37:09 lr: 1.9356342069121867e-05 loss: 0.0426 (0.0455) loss_seg: 0.0442 (0.0490) loss_lansim: 0.0780 (0.0793) loss_contra: 0.0000 (0.0012) time: 2.6228 data: 0.0025 max mem: 31671 Epoch: [26] [ 350/5278] eta: 3:36:54 lr: 1.9353973532148314e-05 loss: 0.0396 (0.0452) loss_seg: 0.0415 (0.0486) loss_lansim: 0.0777 (0.0791) loss_contra: 0.0000 (0.0013) time: 2.6429 data: 0.0025 max mem: 31671 Epoch: [26] [ 360/5278] eta: 3:36:28 lr: 1.9351604962967523e-05 loss: 0.0396 (0.0455) loss_seg: 0.0415 (0.0490) loss_lansim: 0.0777 (0.0792) loss_contra: 0.0000 (0.0013) time: 2.6453 data: 0.0025 max mem: 31671 Epoch: [26] [ 370/5278] eta: 3:36:02 lr: 1.934923636157466e-05 loss: 0.0380 (0.0456) loss_seg: 0.0412 (0.0491) loss_lansim: 0.0779 (0.0793) loss_contra: 0.0000 (0.0013) time: 2.6493 data: 0.0025 max mem: 31671 Epoch: [26] [ 380/5278] eta: 3:35:33 lr: 1.9346867727964915e-05 loss: 0.0400 (0.0455) loss_seg: 0.0427 (0.0490) loss_lansim: 0.0789 (0.0792) loss_contra: 0.0000 (0.0012) time: 2.6483 data: 0.0025 max mem: 31671 Epoch: [26] [ 390/5278] eta: 3:34:59 lr: 1.9344499062133463e-05 loss: 0.0409 (0.0458) loss_seg: 0.0436 (0.0492) loss_lansim: 0.0799 (0.0793) loss_contra: 0.0000 (0.0012) time: 2.6454 data: 0.0025 max mem: 31671 Epoch: [26] [ 400/5278] eta: 3:34:29 lr: 1.9342130364075494e-05 loss: 0.0404 (0.0456) loss_seg: 0.0429 (0.0490) loss_lansim: 0.0799 (0.0794) loss_contra: 0.0000 (0.0012) time: 2.6411 data: 0.0025 max mem: 31671 Epoch: [26] [ 410/5278] eta: 3:34:07 lr: 1.9339761633786166e-05 loss: 0.0409 (0.0455) loss_seg: 0.0434 (0.0489) loss_lansim: 0.0799 (0.0795) loss_contra: 0.0000 (0.0011) time: 2.6480 data: 0.0025 max mem: 31671 Epoch: [26] [ 420/5278] eta: 3:33:44 lr: 1.933739287126066e-05 loss: 0.0409 (0.0454) loss_seg: 0.0429 (0.0489) loss_lansim: 0.0799 (0.0795) loss_contra: 0.0000 (0.0011) time: 2.6453 data: 0.0025 max mem: 31671 Epoch: [26] [ 430/5278] eta: 3:33:11 lr: 1.933502407649416e-05 loss: 0.0421 (0.0456) loss_seg: 0.0445 (0.0491) loss_lansim: 0.0799 (0.0796) loss_contra: 0.0000 (0.0011) time: 2.6361 data: 0.0025 max mem: 31671 Epoch: [26] [ 440/5278] eta: 3:32:42 lr: 1.9332655249481824e-05 loss: 0.0410 (0.0471) loss_seg: 0.0441 (0.0505) loss_lansim: 0.0799 (0.0796) loss_contra: 0.0000 (0.0011) time: 2.6358 data: 0.0025 max mem: 31671 Epoch: [26] [ 450/5278] eta: 3:32:21 lr: 1.9330286390218835e-05 loss: 0.0415 (0.0470) loss_seg: 0.0444 (0.0504) loss_lansim: 0.0801 (0.0798) loss_contra: 0.0000 (0.0011) time: 2.6328 data: 0.0025 max mem: 31671 Epoch: [26] [ 460/5278] eta: 3:31:46 lr: 1.9327917498700353e-05 loss: 0.0415 (0.0470) loss_seg: 0.0443 (0.0504) loss_lansim: 0.0800 (0.0797) loss_contra: 0.0000 (0.0011) time: 2.6237 data: 0.0025 max mem: 31671 Epoch: [26] [ 470/5278] eta: 3:31:19 lr: 1.9325548574921547e-05 loss: 0.0415 (0.0470) loss_seg: 0.0444 (0.0504) loss_lansim: 0.0811 (0.0798) loss_contra: 0.0001 (0.0012) time: 2.6225 data: 0.0025 max mem: 31671 Epoch: [26] [ 480/5278] eta: 3:30:49 lr: 1.932317961887759e-05 loss: 0.0422 (0.0470) loss_seg: 0.0444 (0.0504) loss_lansim: 0.0819 (0.0798) loss_contra: 0.0000 (0.0012) time: 2.6210 data: 0.0025 max mem: 31671 Epoch: [26] [ 490/5278] eta: 3:30:21 lr: 1.932081063056365e-05 loss: 0.0410 (0.0469) loss_seg: 0.0437 (0.0503) loss_lansim: 0.0806 (0.0797) loss_contra: 0.0001 (0.0012) time: 2.6243 data: 0.0025 max mem: 31671 Epoch: [26] [ 500/5278] eta: 3:29:47 lr: 1.9318441609974873e-05 loss: 0.0422 (0.0476) loss_seg: 0.0445 (0.0510) loss_lansim: 0.0806 (0.0798) loss_contra: 0.0001 (0.0013) time: 2.6187 data: 0.0025 max mem: 31671 Epoch: [26] [ 510/5278] eta: 3:29:12 lr: 1.9316072557106437e-05 loss: 0.0425 (0.0478) loss_seg: 0.0457 (0.0513) loss_lansim: 0.0805 (0.0799) loss_contra: 0.0001 (0.0012) time: 2.6051 data: 0.0025 max mem: 31671 Epoch: [26] [ 520/5278] eta: 3:28:42 lr: 1.93137034719535e-05 loss: 0.0414 (0.0478) loss_seg: 0.0450 (0.0512) loss_lansim: 0.0812 (0.0800) loss_contra: 0.0001 (0.0013) time: 2.5978 data: 0.0024 max mem: 31671 Epoch: [26] [ 530/5278] eta: 3:28:14 lr: 1.9311334354511226e-05 loss: 0.0406 (0.0478) loss_seg: 0.0446 (0.0512) loss_lansim: 0.0817 (0.0801) loss_contra: 0.0001 (0.0012) time: 2.6021 data: 0.0025 max mem: 31671 Epoch: [26] [ 540/5278] eta: 3:27:51 lr: 1.9308965204774764e-05 loss: 0.0414 (0.0478) loss_seg: 0.0447 (0.0512) loss_lansim: 0.0804 (0.0801) loss_contra: 0.0001 (0.0012) time: 2.6065 data: 0.0025 max mem: 31671 Epoch: [26] [ 550/5278] eta: 3:27:17 lr: 1.9306596022739272e-05 loss: 0.0414 (0.0477) loss_seg: 0.0446 (0.0512) loss_lansim: 0.0804 (0.0802) loss_contra: 0.0001 (0.0012) time: 2.5915 data: 0.0024 max mem: 31671 Epoch: [26] [ 560/5278] eta: 3:26:43 lr: 1.9304226808399912e-05 loss: 0.0424 (0.0478) loss_seg: 0.0447 (0.0512) loss_lansim: 0.0805 (0.0802) loss_contra: 0.0001 (0.0012) time: 2.5902 data: 0.0024 max mem: 31671 Epoch: [26] [ 570/5278] eta: 3:26:14 lr: 1.930185756175184e-05 loss: 0.0424 (0.0477) loss_seg: 0.0447 (0.0512) loss_lansim: 0.0787 (0.0801) loss_contra: 0.0001 (0.0012) time: 2.5865 data: 0.0025 max mem: 31671 Epoch: [26] [ 580/5278] eta: 3:25:49 lr: 1.9299488282790197e-05 loss: 0.0414 (0.0476) loss_seg: 0.0447 (0.0511) loss_lansim: 0.0777 (0.0801) loss_contra: 0.0001 (0.0012) time: 2.5911 data: 0.0025 max mem: 31671 Epoch: [26] [ 590/5278] eta: 3:25:21 lr: 1.9297118971510142e-05 loss: 0.0414 (0.0475) loss_seg: 0.0446 (0.0509) loss_lansim: 0.0795 (0.0802) loss_contra: 0.0001 (0.0012) time: 2.5903 data: 0.0025 max mem: 31671 Epoch: [26] [ 600/5278] eta: 3:24:57 lr: 1.929474962790683e-05 loss: 0.0409 (0.0475) loss_seg: 0.0445 (0.0509) loss_lansim: 0.0796 (0.0802) loss_contra: 0.0001 (0.0012) time: 2.6004 data: 0.0025 max mem: 31671 Epoch: [26] [ 610/5278] eta: 3:24:26 lr: 1.9292380251975402e-05 loss: 0.0406 (0.0476) loss_seg: 0.0443 (0.0510) loss_lansim: 0.0805 (0.0803) loss_contra: 0.0001 (0.0015) time: 2.6038 data: 0.0025 max mem: 31671 Epoch: [26] [ 620/5278] eta: 3:24:01 lr: 1.9290010843711007e-05 loss: 0.0390 (0.0473) loss_seg: 0.0430 (0.0508) loss_lansim: 0.0799 (0.0803) loss_contra: 0.0001 (0.0015) time: 2.6076 data: 0.0025 max mem: 31671 Epoch: [26] [ 630/5278] eta: 3:23:36 lr: 1.928764140310879e-05 loss: 0.0390 (0.0472) loss_seg: 0.0430 (0.0506) loss_lansim: 0.0796 (0.0803) loss_contra: 0.0001 (0.0015) time: 2.6106 data: 0.0025 max mem: 31671 Epoch: [26] [ 640/5278] eta: 3:23:09 lr: 1.92852719301639e-05 loss: 0.0390 (0.0472) loss_seg: 0.0430 (0.0506) loss_lansim: 0.0803 (0.0803) loss_contra: 0.0001 (0.0015) time: 2.6067 data: 0.0025 max mem: 31671 Epoch: [26] [ 650/5278] eta: 3:22:43 lr: 1.928290242487148e-05 loss: 0.0382 (0.0471) loss_seg: 0.0417 (0.0506) loss_lansim: 0.0804 (0.0804) loss_contra: 0.0001 (0.0015) time: 2.6155 data: 0.0025 max mem: 31671 Epoch: [26] [ 660/5278] eta: 3:22:13 lr: 1.9280532887226663e-05 loss: 0.0379 (0.0472) loss_seg: 0.0411 (0.0506) loss_lansim: 0.0803 (0.0804) loss_contra: 0.0001 (0.0015) time: 2.6193 data: 0.0025 max mem: 31671 Epoch: [26] [ 670/5278] eta: 3:21:48 lr: 1.9278163317224596e-05 loss: 0.0375 (0.0472) loss_seg: 0.0400 (0.0506) loss_lansim: 0.0804 (0.0804) loss_contra: 0.0000 (0.0015) time: 2.6239 data: 0.0025 max mem: 31671 Epoch: [26] [ 680/5278] eta: 3:21:20 lr: 1.9275793714860415e-05 loss: 0.0383 (0.0473) loss_seg: 0.0421 (0.0508) loss_lansim: 0.0805 (0.0803) loss_contra: 0.0000 (0.0015) time: 2.6191 data: 0.0026 max mem: 31671 Epoch: [26] [ 690/5278] eta: 3:20:52 lr: 1.9273424080129262e-05 loss: 0.0388 (0.0472) loss_seg: 0.0421 (0.0506) loss_lansim: 0.0803 (0.0803) loss_contra: 0.0000 (0.0015) time: 2.6195 data: 0.0026 max mem: 31671 Epoch: [26] [ 700/5278] eta: 3:20:27 lr: 1.9271054413026276e-05 loss: 0.0379 (0.0470) loss_seg: 0.0413 (0.0504) loss_lansim: 0.0802 (0.0803) loss_contra: 0.0000 (0.0015) time: 2.6180 data: 0.0026 max mem: 31671 Epoch: [26] [ 710/5278] eta: 3:20:01 lr: 1.9268684713546583e-05 loss: 0.0375 (0.0469) loss_seg: 0.0406 (0.0503) loss_lansim: 0.0798 (0.0803) loss_contra: 0.0000 (0.0015) time: 2.6240 data: 0.0026 max mem: 31671 Epoch: [26] [ 720/5278] eta: 3:19:34 lr: 1.9266314981685318e-05 loss: 0.0391 (0.0469) loss_seg: 0.0417 (0.0503) loss_lansim: 0.0799 (0.0803) loss_contra: 0.0000 (0.0015) time: 2.6227 data: 0.0026 max mem: 31671 Epoch: [26] [ 730/5278] eta: 3:19:11 lr: 1.9263945217437617e-05 loss: 0.0391 (0.0468) loss_seg: 0.0417 (0.0503) loss_lansim: 0.0799 (0.0803) loss_contra: 0.0000 (0.0015) time: 2.6246 data: 0.0026 max mem: 31671 Epoch: [26] [ 740/5278] eta: 3:18:44 lr: 1.926157542079861e-05 loss: 0.0391 (0.0468) loss_seg: 0.0413 (0.0502) loss_lansim: 0.0802 (0.0805) loss_contra: 0.0000 (0.0015) time: 2.6239 data: 0.0026 max mem: 31671 Epoch: [26] [ 750/5278] eta: 3:18:12 lr: 1.925920559176342e-05 loss: 0.0408 (0.0469) loss_seg: 0.0441 (0.0504) loss_lansim: 0.0799 (0.0805) loss_contra: 0.0000 (0.0015) time: 2.6154 data: 0.0026 max mem: 31671 Epoch: [26] [ 760/5278] eta: 3:17:46 lr: 1.925683573032718e-05 loss: 0.0408 (0.0469) loss_seg: 0.0441 (0.0503) loss_lansim: 0.0799 (0.0805) loss_contra: 0.0000 (0.0015) time: 2.6195 data: 0.0025 max mem: 31671 Epoch: [26] [ 770/5278] eta: 3:17:25 lr: 1.9254465836485016e-05 loss: 0.0421 (0.0469) loss_seg: 0.0441 (0.0504) loss_lansim: 0.0801 (0.0805) loss_contra: 0.0000 (0.0015) time: 2.6283 data: 0.0025 max mem: 31671 Epoch: [26] [ 780/5278] eta: 3:16:56 lr: 1.925209591023206e-05 loss: 0.0399 (0.0469) loss_seg: 0.0420 (0.0503) loss_lansim: 0.0799 (0.0806) loss_contra: 0.0000 (0.0015) time: 2.6260 data: 0.0025 max mem: 31671 Epoch: [26] [ 790/5278] eta: 3:16:26 lr: 1.924972595156342e-05 loss: 0.0400 (0.0468) loss_seg: 0.0439 (0.0503) loss_lansim: 0.0804 (0.0807) loss_contra: 0.0000 (0.0014) time: 2.6202 data: 0.0025 max mem: 31671 Epoch: [26] [ 800/5278] eta: 3:15:52 lr: 1.924735596047423e-05 loss: 0.0402 (0.0469) loss_seg: 0.0439 (0.0503) loss_lansim: 0.0813 (0.0807) loss_contra: 0.0000 (0.0015) time: 2.6061 data: 0.0025 max mem: 31671 Epoch: [26] [ 810/5278] eta: 3:15:28 lr: 1.9244985936959605e-05 loss: 0.0413 (0.0468) loss_seg: 0.0441 (0.0502) loss_lansim: 0.0818 (0.0807) loss_contra: 0.0001 (0.0015) time: 2.6080 data: 0.0025 max mem: 31671 Epoch: [26] [ 820/5278] eta: 3:14:59 lr: 1.924261588101467e-05 loss: 0.0399 (0.0467) loss_seg: 0.0420 (0.0501) loss_lansim: 0.0811 (0.0807) loss_contra: 0.0000 (0.0014) time: 2.6036 data: 0.0025 max mem: 31671 Epoch: [26] [ 830/5278] eta: 3:14:32 lr: 1.9240245792634535e-05 loss: 0.0394 (0.0466) loss_seg: 0.0420 (0.0500) loss_lansim: 0.0818 (0.0808) loss_contra: 0.0000 (0.0014) time: 2.5976 data: 0.0025 max mem: 31671 Epoch: [26] [ 840/5278] eta: 3:14:05 lr: 1.9237875671814322e-05 loss: 0.0382 (0.0464) loss_seg: 0.0411 (0.0498) loss_lansim: 0.0809 (0.0808) loss_contra: 0.0001 (0.0015) time: 2.5970 data: 0.0025 max mem: 31671 Epoch: [26] [ 850/5278] eta: 3:13:42 lr: 1.9235505518549145e-05 loss: 0.0378 (0.0464) loss_seg: 0.0410 (0.0498) loss_lansim: 0.0809 (0.0809) loss_contra: 0.0001 (0.0014) time: 2.6113 data: 0.0025 max mem: 31671 Epoch: [26] [ 860/5278] eta: 3:13:13 lr: 1.9233135332834125e-05 loss: 0.0378 (0.0463) loss_seg: 0.0403 (0.0497) loss_lansim: 0.0807 (0.0808) loss_contra: 0.0001 (0.0014) time: 2.6081 data: 0.0026 max mem: 31671 Epoch: [26] [ 870/5278] eta: 3:12:46 lr: 1.923076511466436e-05 loss: 0.0383 (0.0465) loss_seg: 0.0411 (0.0499) loss_lansim: 0.0807 (0.0808) loss_contra: 0.0001 (0.0014) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [26] [ 880/5278] eta: 3:12:17 lr: 1.922839486403497e-05 loss: 0.0383 (0.0465) loss_seg: 0.0411 (0.0498) loss_lansim: 0.0802 (0.0808) loss_contra: 0.0001 (0.0014) time: 2.5936 data: 0.0026 max mem: 31671 Epoch: [26] [ 890/5278] eta: 3:11:47 lr: 1.922602458094106e-05 loss: 0.0382 (0.0464) loss_seg: 0.0410 (0.0498) loss_lansim: 0.0798 (0.0808) loss_contra: 0.0000 (0.0014) time: 2.5935 data: 0.0026 max mem: 31671 Epoch: [26] [ 900/5278] eta: 3:11:22 lr: 1.922365426537775e-05 loss: 0.0385 (0.0467) loss_seg: 0.0419 (0.0501) loss_lansim: 0.0792 (0.0808) loss_contra: 0.0000 (0.0014) time: 2.6083 data: 0.0026 max mem: 31671 Epoch: [26] [ 910/5278] eta: 3:10:53 lr: 1.9221283917340126e-05 loss: 0.0393 (0.0468) loss_seg: 0.0426 (0.0503) loss_lansim: 0.0792 (0.0808) loss_contra: 0.0001 (0.0014) time: 2.5998 data: 0.0026 max mem: 31671 Epoch: [26] [ 920/5278] eta: 3:10:27 lr: 1.921891353682331e-05 loss: 0.0397 (0.0468) loss_seg: 0.0434 (0.0502) loss_lansim: 0.0792 (0.0808) loss_contra: 0.0000 (0.0014) time: 2.6037 data: 0.0026 max mem: 31671 Epoch: [26] [ 930/5278] eta: 3:09:58 lr: 1.92165431238224e-05 loss: 0.0419 (0.0469) loss_seg: 0.0449 (0.0504) loss_lansim: 0.0792 (0.0809) loss_contra: 0.0001 (0.0014) time: 2.5993 data: 0.0026 max mem: 31671 Epoch: [26] [ 940/5278] eta: 3:09:27 lr: 1.92141726783325e-05 loss: 0.0421 (0.0468) loss_seg: 0.0452 (0.0503) loss_lansim: 0.0795 (0.0809) loss_contra: 0.0000 (0.0014) time: 2.5903 data: 0.0026 max mem: 31671 Epoch: [26] [ 950/5278] eta: 3:08:59 lr: 1.9211802200348713e-05 loss: 0.0419 (0.0467) loss_seg: 0.0446 (0.0502) loss_lansim: 0.0795 (0.0810) loss_contra: 0.0000 (0.0015) time: 2.5796 data: 0.0026 max mem: 31671 Epoch: [26] [ 960/5278] eta: 3:08:30 lr: 1.9209431689866134e-05 loss: 0.0421 (0.0467) loss_seg: 0.0452 (0.0502) loss_lansim: 0.0799 (0.0810) loss_contra: 0.0000 (0.0015) time: 2.5763 data: 0.0026 max mem: 31671 Epoch: [26] [ 970/5278] eta: 3:08:02 lr: 1.920706114687986e-05 loss: 0.0400 (0.0468) loss_seg: 0.0437 (0.0502) loss_lansim: 0.0809 (0.0810) loss_contra: 0.0000 (0.0015) time: 2.5748 data: 0.0026 max mem: 31671 Epoch: [26] [ 980/5278] eta: 3:07:36 lr: 1.9204690571384992e-05 loss: 0.0454 (0.0469) loss_seg: 0.0485 (0.0503) loss_lansim: 0.0819 (0.0811) loss_contra: 0.0000 (0.0015) time: 2.5809 data: 0.0026 max mem: 31671 Epoch: [26] [ 990/5278] eta: 3:07:10 lr: 1.9202319963376632e-05 loss: 0.0454 (0.0469) loss_seg: 0.0461 (0.0503) loss_lansim: 0.0819 (0.0811) loss_contra: 0.0001 (0.0016) time: 2.5886 data: 0.0025 max mem: 31671 Epoch: [26] [1000/5278] eta: 3:06:43 lr: 1.9199949322849857e-05 loss: 0.0400 (0.0468) loss_seg: 0.0435 (0.0502) loss_lansim: 0.0827 (0.0811) loss_contra: 0.0001 (0.0016) time: 2.5841 data: 0.0025 max mem: 31671 Epoch: [26] [1010/5278] eta: 3:06:16 lr: 1.919757864979977e-05 loss: 0.0394 (0.0467) loss_seg: 0.0418 (0.0502) loss_lansim: 0.0822 (0.0811) loss_contra: 0.0001 (0.0016) time: 2.5875 data: 0.0025 max mem: 31671 Epoch: [26] [1020/5278] eta: 3:05:51 lr: 1.9195207944221465e-05 loss: 0.0380 (0.0466) loss_seg: 0.0400 (0.0500) loss_lansim: 0.0821 (0.0811) loss_contra: 0.0001 (0.0016) time: 2.5889 data: 0.0026 max mem: 31671 Epoch: [26] [1030/5278] eta: 3:05:25 lr: 1.9192837206110033e-05 loss: 0.0379 (0.0466) loss_seg: 0.0398 (0.0500) loss_lansim: 0.0821 (0.0812) loss_contra: 0.0001 (0.0016) time: 2.5958 data: 0.0026 max mem: 31671 Epoch: [26] [1040/5278] eta: 3:04:54 lr: 1.919046643546055e-05 loss: 0.0380 (0.0466) loss_seg: 0.0400 (0.0500) loss_lansim: 0.0818 (0.0812) loss_contra: 0.0001 (0.0016) time: 2.5941 data: 0.0026 max mem: 31671 Epoch: [26] [1050/5278] eta: 3:04:28 lr: 1.918809563226811e-05 loss: 0.0394 (0.0467) loss_seg: 0.0432 (0.0501) loss_lansim: 0.0817 (0.0812) loss_contra: 0.0001 (0.0016) time: 2.5983 data: 0.0026 max mem: 31671 Epoch: [26] [1060/5278] eta: 3:03:59 lr: 1.9185724796527802e-05 loss: 0.0393 (0.0467) loss_seg: 0.0418 (0.0501) loss_lansim: 0.0818 (0.0813) loss_contra: 0.0001 (0.0016) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [26] [1070/5278] eta: 3:03:33 lr: 1.918335392823471e-05 loss: 0.0385 (0.0467) loss_seg: 0.0406 (0.0500) loss_lansim: 0.0817 (0.0813) loss_contra: 0.0001 (0.0016) time: 2.5994 data: 0.0026 max mem: 31671 Epoch: [26] [1080/5278] eta: 3:03:04 lr: 1.918098302738391e-05 loss: 0.0378 (0.0467) loss_seg: 0.0403 (0.0500) loss_lansim: 0.0814 (0.0813) loss_contra: 0.0001 (0.0016) time: 2.5939 data: 0.0026 max mem: 31671 Epoch: [26] [1090/5278] eta: 3:02:38 lr: 1.9178612093970485e-05 loss: 0.0385 (0.0466) loss_seg: 0.0413 (0.0500) loss_lansim: 0.0815 (0.0813) loss_contra: 0.0001 (0.0016) time: 2.5916 data: 0.0026 max mem: 31671 Epoch: [26] [1100/5278] eta: 3:02:10 lr: 1.9176241127989518e-05 loss: 0.0393 (0.0466) loss_seg: 0.0420 (0.0500) loss_lansim: 0.0807 (0.0813) loss_contra: 0.0001 (0.0016) time: 2.5883 data: 0.0026 max mem: 31671 Epoch: [26] [1110/5278] eta: 3:01:44 lr: 1.917387012943609e-05 loss: 0.0398 (0.0466) loss_seg: 0.0437 (0.0499) loss_lansim: 0.0807 (0.0812) loss_contra: 0.0000 (0.0015) time: 2.5911 data: 0.0026 max mem: 31671 Epoch: [26] [1120/5278] eta: 3:01:18 lr: 1.917149909830527e-05 loss: 0.0411 (0.0466) loss_seg: 0.0452 (0.0499) loss_lansim: 0.0817 (0.0813) loss_contra: 0.0001 (0.0015) time: 2.5900 data: 0.0026 max mem: 31671 Epoch: [26] [1130/5278] eta: 3:00:51 lr: 1.916912803459214e-05 loss: 0.0410 (0.0465) loss_seg: 0.0442 (0.0498) loss_lansim: 0.0807 (0.0813) loss_contra: 0.0001 (0.0015) time: 2.5855 data: 0.0026 max mem: 31671 Epoch: [26] [1140/5278] eta: 3:00:27 lr: 1.9166756938291773e-05 loss: 0.0410 (0.0465) loss_seg: 0.0446 (0.0499) loss_lansim: 0.0799 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6030 data: 0.0026 max mem: 31671 Epoch: [26] [1150/5278] eta: 2:59:58 lr: 1.9164385809399244e-05 loss: 0.0410 (0.0465) loss_seg: 0.0442 (0.0499) loss_lansim: 0.0795 (0.0812) loss_contra: 0.0000 (0.0015) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [26] [1160/5278] eta: 2:59:34 lr: 1.9162014647909612e-05 loss: 0.0411 (0.0466) loss_seg: 0.0452 (0.0500) loss_lansim: 0.0795 (0.0812) loss_contra: 0.0000 (0.0015) time: 2.6079 data: 0.0026 max mem: 31671 Epoch: [26] [1170/5278] eta: 2:59:07 lr: 1.915964345381796e-05 loss: 0.0411 (0.0465) loss_seg: 0.0451 (0.0499) loss_lansim: 0.0778 (0.0812) loss_contra: 0.0000 (0.0015) time: 2.6061 data: 0.0026 max mem: 31671 Epoch: [26] [1180/5278] eta: 2:58:41 lr: 1.9157272227119356e-05 loss: 0.0416 (0.0465) loss_seg: 0.0451 (0.0498) loss_lansim: 0.0795 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6115 data: 0.0026 max mem: 31671 Epoch: [26] [1190/5278] eta: 2:58:19 lr: 1.915490096780886e-05 loss: 0.0416 (0.0464) loss_seg: 0.0451 (0.0498) loss_lansim: 0.0796 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6256 data: 0.0026 max mem: 31671 Epoch: [26] [1200/5278] eta: 2:57:56 lr: 1.9152529675881544e-05 loss: 0.0410 (0.0464) loss_seg: 0.0446 (0.0498) loss_lansim: 0.0796 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6385 data: 0.0026 max mem: 31671 Epoch: [26] [1210/5278] eta: 2:57:28 lr: 1.915015835133247e-05 loss: 0.0410 (0.0464) loss_seg: 0.0446 (0.0498) loss_lansim: 0.0817 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6324 data: 0.0026 max mem: 31671 Epoch: [26] [1220/5278] eta: 2:57:01 lr: 1.9147786994156697e-05 loss: 0.0403 (0.0464) loss_seg: 0.0434 (0.0497) loss_lansim: 0.0809 (0.0814) loss_contra: 0.0000 (0.0015) time: 2.6312 data: 0.0026 max mem: 31671 Epoch: [26] [1230/5278] eta: 2:56:35 lr: 1.9145415604349286e-05 loss: 0.0372 (0.0463) loss_seg: 0.0400 (0.0496) loss_lansim: 0.0817 (0.0814) loss_contra: 0.0000 (0.0015) time: 2.6345 data: 0.0026 max mem: 31671 Epoch: [26] [1240/5278] eta: 2:56:10 lr: 1.9143044181905313e-05 loss: 0.0367 (0.0462) loss_seg: 0.0388 (0.0495) loss_lansim: 0.0825 (0.0814) loss_contra: 0.0000 (0.0015) time: 2.6307 data: 0.0026 max mem: 31671 Epoch: [26] [1250/5278] eta: 2:55:43 lr: 1.9140672726819813e-05 loss: 0.0357 (0.0462) loss_seg: 0.0388 (0.0495) loss_lansim: 0.0819 (0.0814) loss_contra: 0.0000 (0.0015) time: 2.6354 data: 0.0026 max mem: 31671 Epoch: [26] [1260/5278] eta: 2:55:19 lr: 1.913830123908786e-05 loss: 0.0363 (0.0463) loss_seg: 0.0390 (0.0496) loss_lansim: 0.0809 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6376 data: 0.0026 max mem: 31671 Epoch: [26] [1270/5278] eta: 2:54:54 lr: 1.9135929718704498e-05 loss: 0.0357 (0.0463) loss_seg: 0.0388 (0.0496) loss_lansim: 0.0805 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6438 data: 0.0026 max mem: 31671 Epoch: [26] [1280/5278] eta: 2:54:28 lr: 1.91335581656648e-05 loss: 0.0351 (0.0462) loss_seg: 0.0358 (0.0495) loss_lansim: 0.0798 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6445 data: 0.0025 max mem: 31671 Epoch: [26] [1290/5278] eta: 2:54:01 lr: 1.9131186579963793e-05 loss: 0.0351 (0.0462) loss_seg: 0.0358 (0.0496) loss_lansim: 0.0798 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6287 data: 0.0026 max mem: 31671 Epoch: [26] [1300/5278] eta: 2:53:35 lr: 1.9128814961596543e-05 loss: 0.0357 (0.0463) loss_seg: 0.0383 (0.0497) loss_lansim: 0.0796 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6207 data: 0.0026 max mem: 31671 Epoch: [26] [1310/5278] eta: 2:53:07 lr: 1.91264433105581e-05 loss: 0.0375 (0.0465) loss_seg: 0.0399 (0.0498) loss_lansim: 0.0795 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6216 data: 0.0026 max mem: 31671 Epoch: [26] [1320/5278] eta: 2:52:42 lr: 1.9124071626843513e-05 loss: 0.0382 (0.0464) loss_seg: 0.0419 (0.0498) loss_lansim: 0.0784 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6255 data: 0.0026 max mem: 31671 Epoch: [26] [1330/5278] eta: 2:52:15 lr: 1.912169991044782e-05 loss: 0.0405 (0.0466) loss_seg: 0.0428 (0.0500) loss_lansim: 0.0793 (0.0813) loss_contra: 0.0000 (0.0015) time: 2.6218 data: 0.0025 max mem: 31671 Epoch: [26] [1340/5278] eta: 2:51:49 lr: 1.911932816136608e-05 loss: 0.0407 (0.0467) loss_seg: 0.0435 (0.0501) loss_lansim: 0.0794 (0.0814) loss_contra: 0.0000 (0.0015) time: 2.6221 data: 0.0025 max mem: 31671 Epoch: [26] [1350/5278] eta: 2:51:24 lr: 1.9116956379593326e-05 loss: 0.0427 (0.0468) loss_seg: 0.0449 (0.0502) loss_lansim: 0.0796 (0.0814) loss_contra: 0.0000 (0.0015) time: 2.6284 data: 0.0025 max mem: 31671 Epoch: [26] [1360/5278] eta: 2:50:56 lr: 1.9114584565124612e-05 loss: 0.0427 (0.0468) loss_seg: 0.0459 (0.0502) loss_lansim: 0.0800 (0.0814) loss_contra: 0.0000 (0.0016) time: 2.6148 data: 0.0025 max mem: 31671 Epoch: [26] [1370/5278] eta: 2:50:31 lr: 1.9112212717954964e-05 loss: 0.0435 (0.0468) loss_seg: 0.0461 (0.0502) loss_lansim: 0.0801 (0.0814) loss_contra: 0.0000 (0.0016) time: 2.6159 data: 0.0025 max mem: 31671 Epoch: [26] [1380/5278] eta: 2:50:04 lr: 1.9109840838079434e-05 loss: 0.0440 (0.0467) loss_seg: 0.0471 (0.0502) loss_lansim: 0.0818 (0.0815) loss_contra: 0.0000 (0.0016) time: 2.6106 data: 0.0025 max mem: 31671 Epoch: [26] [1390/5278] eta: 2:49:38 lr: 1.9107468925493056e-05 loss: 0.0457 (0.0469) loss_seg: 0.0475 (0.0503) loss_lansim: 0.0818 (0.0815) loss_contra: 0.0000 (0.0016) time: 2.6157 data: 0.0025 max mem: 31671 Epoch: [26] [1400/5278] eta: 2:49:12 lr: 1.910509698019087e-05 loss: 0.0450 (0.0468) loss_seg: 0.0471 (0.0502) loss_lansim: 0.0811 (0.0814) loss_contra: 0.0000 (0.0016) time: 2.6158 data: 0.0024 max mem: 31671 Epoch: [26] [1410/5278] eta: 2:48:45 lr: 1.9102725002167907e-05 loss: 0.0425 (0.0468) loss_seg: 0.0448 (0.0502) loss_lansim: 0.0818 (0.0815) loss_contra: 0.0000 (0.0016) time: 2.6159 data: 0.0025 max mem: 31671 Epoch: [26] [1420/5278] eta: 2:48:17 lr: 1.9100352991419203e-05 loss: 0.0425 (0.0467) loss_seg: 0.0459 (0.0502) loss_lansim: 0.0810 (0.0814) loss_contra: 0.0000 (0.0016) time: 2.6052 data: 0.0025 max mem: 31671 Epoch: [26] [1430/5278] eta: 2:47:50 lr: 1.9097980947939794e-05 loss: 0.0431 (0.0470) loss_seg: 0.0468 (0.0505) loss_lansim: 0.0823 (0.0815) loss_contra: 0.0000 (0.0015) time: 2.6061 data: 0.0025 max mem: 31671 Epoch: [26] [1440/5278] eta: 2:47:24 lr: 1.9095608871724706e-05 loss: 0.0431 (0.0470) loss_seg: 0.0468 (0.0504) loss_lansim: 0.0821 (0.0815) loss_contra: 0.0000 (0.0015) time: 2.6035 data: 0.0025 max mem: 31671 Epoch: [26] [1450/5278] eta: 2:46:57 lr: 1.9093236762768972e-05 loss: 0.0425 (0.0470) loss_seg: 0.0464 (0.0505) loss_lansim: 0.0833 (0.0815) loss_contra: 0.0001 (0.0015) time: 2.5961 data: 0.0025 max mem: 31671 Epoch: [26] [1460/5278] eta: 2:46:31 lr: 1.9090864621067622e-05 loss: 0.0425 (0.0470) loss_seg: 0.0448 (0.0505) loss_lansim: 0.0820 (0.0815) loss_contra: 0.0001 (0.0015) time: 2.6028 data: 0.0025 max mem: 31671 Epoch: [26] [1470/5278] eta: 2:46:06 lr: 1.908849244661568e-05 loss: 0.0420 (0.0470) loss_seg: 0.0446 (0.0505) loss_lansim: 0.0823 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.6043 data: 0.0025 max mem: 31671 Epoch: [26] [1480/5278] eta: 2:45:39 lr: 1.908612023940817e-05 loss: 0.0420 (0.0470) loss_seg: 0.0446 (0.0505) loss_lansim: 0.0806 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.6039 data: 0.0026 max mem: 31671 Epoch: [26] [1490/5278] eta: 2:45:11 lr: 1.908374799944012e-05 loss: 0.0409 (0.0470) loss_seg: 0.0445 (0.0505) loss_lansim: 0.0809 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.5962 data: 0.0026 max mem: 31671 Epoch: [26] [1500/5278] eta: 2:44:45 lr: 1.908137572670655e-05 loss: 0.0409 (0.0470) loss_seg: 0.0445 (0.0505) loss_lansim: 0.0817 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.5962 data: 0.0026 max mem: 31671 Epoch: [26] [1510/5278] eta: 2:44:19 lr: 1.907900342120248e-05 loss: 0.0405 (0.0470) loss_seg: 0.0438 (0.0505) loss_lansim: 0.0808 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.6010 data: 0.0026 max mem: 31671 Epoch: [26] [1520/5278] eta: 2:43:52 lr: 1.907663108292293e-05 loss: 0.0405 (0.0470) loss_seg: 0.0431 (0.0504) loss_lansim: 0.0830 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.6057 data: 0.0026 max mem: 31671 Epoch: [26] [1530/5278] eta: 2:43:24 lr: 1.9074258711862928e-05 loss: 0.0391 (0.0469) loss_seg: 0.0417 (0.0504) loss_lansim: 0.0808 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.6015 data: 0.0026 max mem: 31671 Epoch: [26] [1540/5278] eta: 2:42:59 lr: 1.9071886308017478e-05 loss: 0.0391 (0.0469) loss_seg: 0.0417 (0.0504) loss_lansim: 0.0825 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.6063 data: 0.0026 max mem: 31671 Epoch: [26] [1550/5278] eta: 2:42:32 lr: 1.9069513871381597e-05 loss: 0.0391 (0.0470) loss_seg: 0.0409 (0.0504) loss_lansim: 0.0806 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.6031 data: 0.0026 max mem: 31671 Epoch: [26] [1560/5278] eta: 2:42:05 lr: 1.9067141401950305e-05 loss: 0.0391 (0.0469) loss_seg: 0.0411 (0.0504) loss_lansim: 0.0825 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.5990 data: 0.0026 max mem: 31671 Epoch: [26] [1570/5278] eta: 2:41:37 lr: 1.9064768899718617e-05 loss: 0.0404 (0.0469) loss_seg: 0.0422 (0.0504) loss_lansim: 0.0823 (0.0816) loss_contra: 0.0001 (0.0015) time: 2.5871 data: 0.0026 max mem: 31671 Epoch: [26] [1580/5278] eta: 2:41:10 lr: 1.9062396364681533e-05 loss: 0.0394 (0.0469) loss_seg: 0.0417 (0.0503) loss_lansim: 0.0828 (0.0816) loss_contra: 0.0000 (0.0015) time: 2.5891 data: 0.0026 max mem: 31671 Epoch: [26] [1590/5278] eta: 2:40:45 lr: 1.9060023796834065e-05 loss: 0.0391 (0.0469) loss_seg: 0.0419 (0.0504) loss_lansim: 0.0825 (0.0816) loss_contra: 0.0000 (0.0015) time: 2.5959 data: 0.0026 max mem: 31671 Epoch: [26] [1600/5278] eta: 2:40:18 lr: 1.9057651196171226e-05 loss: 0.0394 (0.0471) loss_seg: 0.0419 (0.0505) loss_lansim: 0.0817 (0.0816) loss_contra: 0.0001 (0.0016) time: 2.5960 data: 0.0025 max mem: 31671 Epoch: [26] [1610/5278] eta: 2:39:53 lr: 1.905527856268803e-05 loss: 0.0394 (0.0470) loss_seg: 0.0422 (0.0505) loss_lansim: 0.0814 (0.0816) loss_contra: 0.0000 (0.0016) time: 2.5962 data: 0.0025 max mem: 31671 Epoch: [26] [1620/5278] eta: 2:39:25 lr: 1.9052905896379463e-05 loss: 0.0394 (0.0470) loss_seg: 0.0431 (0.0504) loss_lansim: 0.0820 (0.0816) loss_contra: 0.0000 (0.0016) time: 2.5944 data: 0.0025 max mem: 31671 Epoch: [26] [1630/5278] eta: 2:38:59 lr: 1.905053319724054e-05 loss: 0.0394 (0.0469) loss_seg: 0.0430 (0.0503) loss_lansim: 0.0820 (0.0816) loss_contra: 0.0000 (0.0015) time: 2.6006 data: 0.0025 max mem: 31671 Epoch: [26] [1640/5278] eta: 2:38:33 lr: 1.9048160465266262e-05 loss: 0.0404 (0.0469) loss_seg: 0.0430 (0.0503) loss_lansim: 0.0814 (0.0816) loss_contra: 0.0000 (0.0015) time: 2.5939 data: 0.0025 max mem: 31671 Epoch: [26] [1650/5278] eta: 2:38:07 lr: 1.9045787700451637e-05 loss: 0.0394 (0.0469) loss_seg: 0.0430 (0.0503) loss_lansim: 0.0820 (0.0816) loss_contra: 0.0000 (0.0015) time: 2.6029 data: 0.0025 max mem: 31671 Epoch: [26] [1660/5278] eta: 2:37:42 lr: 1.9043414902791652e-05 loss: 0.0386 (0.0470) loss_seg: 0.0423 (0.0504) loss_lansim: 0.0814 (0.0817) loss_contra: 0.0000 (0.0015) time: 2.6109 data: 0.0025 max mem: 31671 Epoch: [26] [1670/5278] eta: 2:37:16 lr: 1.904104207228131e-05 loss: 0.0394 (0.0471) loss_seg: 0.0430 (0.0505) loss_lansim: 0.0809 (0.0817) loss_contra: 0.0000 (0.0016) time: 2.6153 data: 0.0025 max mem: 31671 Epoch: [26] [1680/5278] eta: 2:36:50 lr: 1.9038669208915608e-05 loss: 0.0408 (0.0470) loss_seg: 0.0432 (0.0505) loss_lansim: 0.0818 (0.0817) loss_contra: 0.0000 (0.0016) time: 2.6223 data: 0.0025 max mem: 31671 Epoch: [26] [1690/5278] eta: 2:36:25 lr: 1.9036296312689543e-05 loss: 0.0400 (0.0470) loss_seg: 0.0432 (0.0504) loss_lansim: 0.0814 (0.0817) loss_contra: 0.0000 (0.0016) time: 2.6223 data: 0.0025 max mem: 31671 Epoch: [26] [1700/5278] eta: 2:36:00 lr: 1.903392338359811e-05 loss: 0.0394 (0.0470) loss_seg: 0.0430 (0.0504) loss_lansim: 0.0828 (0.0818) loss_contra: 0.0000 (0.0016) time: 2.6275 data: 0.0025 max mem: 31671 Epoch: [26] [1710/5278] eta: 2:35:34 lr: 1.9031550421636293e-05 loss: 0.0390 (0.0469) loss_seg: 0.0424 (0.0504) loss_lansim: 0.0832 (0.0818) loss_contra: 0.0000 (0.0016) time: 2.6272 data: 0.0025 max mem: 31671 Epoch: [26] [1720/5278] eta: 2:35:07 lr: 1.902917742679909e-05 loss: 0.0392 (0.0469) loss_seg: 0.0423 (0.0503) loss_lansim: 0.0828 (0.0818) loss_contra: 0.0000 (0.0016) time: 2.6310 data: 0.0025 max mem: 31671 Epoch: [26] [1730/5278] eta: 2:34:43 lr: 1.9026804399081484e-05 loss: 0.0400 (0.0469) loss_seg: 0.0431 (0.0503) loss_lansim: 0.0833 (0.0819) loss_contra: 0.0000 (0.0016) time: 2.6382 data: 0.0025 max mem: 31671 Epoch: [26] [1740/5278] eta: 2:34:14 lr: 1.9024431338478474e-05 loss: 0.0392 (0.0468) loss_seg: 0.0400 (0.0503) loss_lansim: 0.0834 (0.0820) loss_contra: 0.0000 (0.0015) time: 2.6292 data: 0.0026 max mem: 31671 Epoch: [26] [1750/5278] eta: 2:33:47 lr: 1.9022058244985033e-05 loss: 0.0386 (0.0469) loss_seg: 0.0395 (0.0503) loss_lansim: 0.0858 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.6232 data: 0.0026 max mem: 31671 Epoch: [26] [1760/5278] eta: 2:33:19 lr: 1.9019685118596152e-05 loss: 0.0400 (0.0469) loss_seg: 0.0431 (0.0503) loss_lansim: 0.0867 (0.0821) loss_contra: 0.0000 (0.0015) time: 2.6057 data: 0.0026 max mem: 31671 Epoch: [26] [1770/5278] eta: 2:32:51 lr: 1.9017311959306817e-05 loss: 0.0395 (0.0469) loss_seg: 0.0408 (0.0503) loss_lansim: 0.0882 (0.0821) loss_contra: 0.0000 (0.0015) time: 2.6006 data: 0.0026 max mem: 31671 Epoch: [26] [1780/5278] eta: 2:32:25 lr: 1.9014938767112008e-05 loss: 0.0400 (0.0470) loss_seg: 0.0414 (0.0504) loss_lansim: 0.0875 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5952 data: 0.0026 max mem: 31671 Epoch: [26] [1790/5278] eta: 2:31:59 lr: 1.9012565542006702e-05 loss: 0.0401 (0.0470) loss_seg: 0.0414 (0.0504) loss_lansim: 0.0882 (0.0822) loss_contra: 0.0000 (0.0015) time: 2.5932 data: 0.0025 max mem: 31671 Epoch: [26] [1800/5278] eta: 2:31:32 lr: 1.9010192283985883e-05 loss: 0.0408 (0.0470) loss_seg: 0.0434 (0.0505) loss_lansim: 0.0880 (0.0822) loss_contra: 0.0000 (0.0015) time: 2.5842 data: 0.0025 max mem: 31671 Epoch: [26] [1810/5278] eta: 2:31:05 lr: 1.900781899304452e-05 loss: 0.0418 (0.0470) loss_seg: 0.0440 (0.0504) loss_lansim: 0.0880 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5811 data: 0.0025 max mem: 31671 Epoch: [26] [1820/5278] eta: 2:30:39 lr: 1.9005445669177603e-05 loss: 0.0434 (0.0471) loss_seg: 0.0445 (0.0506) loss_lansim: 0.0880 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5807 data: 0.0026 max mem: 31671 Epoch: [26] [1830/5278] eta: 2:30:14 lr: 1.9003072312380097e-05 loss: 0.0418 (0.0471) loss_seg: 0.0425 (0.0505) loss_lansim: 0.0880 (0.0823) loss_contra: 0.0000 (0.0016) time: 2.5783 data: 0.0026 max mem: 31671 Epoch: [26] [1840/5278] eta: 2:29:49 lr: 1.9000698922646972e-05 loss: 0.0433 (0.0471) loss_seg: 0.0445 (0.0506) loss_lansim: 0.0880 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5939 data: 0.0025 max mem: 31671 Epoch: [26] [1850/5278] eta: 2:29:22 lr: 1.8998325499973207e-05 loss: 0.0434 (0.0471) loss_seg: 0.0448 (0.0506) loss_lansim: 0.0870 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5946 data: 0.0025 max mem: 31671 Epoch: [26] [1860/5278] eta: 2:28:55 lr: 1.8995952044353777e-05 loss: 0.0423 (0.0471) loss_seg: 0.0448 (0.0506) loss_lansim: 0.0856 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.6056 data: 0.0026 max mem: 31671 Epoch: [26] [1870/5278] eta: 2:28:29 lr: 1.8993578555783637e-05 loss: 0.0394 (0.0472) loss_seg: 0.0423 (0.0506) loss_lansim: 0.0865 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.6108 data: 0.0026 max mem: 31671 Epoch: [26] [1880/5278] eta: 2:28:03 lr: 1.8991205034257762e-05 loss: 0.0384 (0.0471) loss_seg: 0.0408 (0.0506) loss_lansim: 0.0865 (0.0825) loss_contra: 0.0000 (0.0016) time: 2.6099 data: 0.0026 max mem: 31671 Epoch: [26] [1890/5278] eta: 2:27:36 lr: 1.8988831479771115e-05 loss: 0.0387 (0.0471) loss_seg: 0.0416 (0.0505) loss_lansim: 0.0865 (0.0825) loss_contra: 0.0000 (0.0016) time: 2.6065 data: 0.0026 max mem: 31671 Epoch: [26] [1900/5278] eta: 2:27:09 lr: 1.8986457892318667e-05 loss: 0.0401 (0.0471) loss_seg: 0.0423 (0.0506) loss_lansim: 0.0865 (0.0825) loss_contra: 0.0000 (0.0016) time: 2.6057 data: 0.0026 max mem: 31671 Epoch: [26] [1910/5278] eta: 2:26:45 lr: 1.8984084271895373e-05 loss: 0.0400 (0.0471) loss_seg: 0.0435 (0.0505) loss_lansim: 0.0865 (0.0825) loss_contra: 0.0000 (0.0016) time: 2.6188 data: 0.0025 max mem: 31671 Epoch: [26] [1920/5278] eta: 2:26:19 lr: 1.89817106184962e-05 loss: 0.0401 (0.0471) loss_seg: 0.0435 (0.0505) loss_lansim: 0.0861 (0.0825) loss_contra: 0.0000 (0.0016) time: 2.6205 data: 0.0025 max mem: 31671 Epoch: [26] [1930/5278] eta: 2:25:54 lr: 1.89793369321161e-05 loss: 0.0407 (0.0471) loss_seg: 0.0441 (0.0505) loss_lansim: 0.0853 (0.0825) loss_contra: 0.0000 (0.0016) time: 2.6234 data: 0.0025 max mem: 31671 Epoch: [26] [1940/5278] eta: 2:25:26 lr: 1.897696321275004e-05 loss: 0.0416 (0.0470) loss_seg: 0.0441 (0.0504) loss_lansim: 0.0844 (0.0825) loss_contra: 0.0000 (0.0016) time: 2.6082 data: 0.0026 max mem: 31671 Epoch: [26] [1950/5278] eta: 2:24:59 lr: 1.8974589460392984e-05 loss: 0.0394 (0.0469) loss_seg: 0.0423 (0.0504) loss_lansim: 0.0842 (0.0826) loss_contra: 0.0000 (0.0015) time: 2.6063 data: 0.0025 max mem: 31671 Epoch: [26] [1960/5278] eta: 2:24:34 lr: 1.8972215675039864e-05 loss: 0.0400 (0.0469) loss_seg: 0.0416 (0.0503) loss_lansim: 0.0841 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6133 data: 0.0025 max mem: 31671 Epoch: [26] [1970/5278] eta: 2:24:08 lr: 1.896984185668565e-05 loss: 0.0400 (0.0469) loss_seg: 0.0415 (0.0503) loss_lansim: 0.0814 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6166 data: 0.0025 max mem: 31671 Epoch: [26] [1980/5278] eta: 2:23:42 lr: 1.8967468005325296e-05 loss: 0.0400 (0.0470) loss_seg: 0.0422 (0.0504) loss_lansim: 0.0809 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6207 data: 0.0025 max mem: 31671 Epoch: [26] [1990/5278] eta: 2:23:16 lr: 1.8965094120953753e-05 loss: 0.0393 (0.0470) loss_seg: 0.0422 (0.0504) loss_lansim: 0.0805 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6232 data: 0.0025 max mem: 31671 Epoch: [26] [2000/5278] eta: 2:22:50 lr: 1.896272020356596e-05 loss: 0.0383 (0.0469) loss_seg: 0.0415 (0.0504) loss_lansim: 0.0804 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6294 data: 0.0025 max mem: 31671 Epoch: [26] [2010/5278] eta: 2:22:22 lr: 1.8960346253156872e-05 loss: 0.0376 (0.0469) loss_seg: 0.0401 (0.0503) loss_lansim: 0.0805 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6093 data: 0.0025 max mem: 31671 Epoch: [26] [2020/5278] eta: 2:21:57 lr: 1.8957972269721437e-05 loss: 0.0374 (0.0469) loss_seg: 0.0394 (0.0503) loss_lansim: 0.0818 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6103 data: 0.0025 max mem: 31671 Epoch: [26] [2030/5278] eta: 2:21:31 lr: 1.8955598253254604e-05 loss: 0.0367 (0.0469) loss_seg: 0.0375 (0.0503) loss_lansim: 0.0809 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6073 data: 0.0024 max mem: 31671 Epoch: [26] [2040/5278] eta: 2:21:04 lr: 1.8953224203751308e-05 loss: 0.0371 (0.0468) loss_seg: 0.0394 (0.0503) loss_lansim: 0.0815 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6090 data: 0.0024 max mem: 31671 Epoch: [26] [2050/5278] eta: 2:20:37 lr: 1.8950850121206493e-05 loss: 0.0382 (0.0468) loss_seg: 0.0417 (0.0503) loss_lansim: 0.0816 (0.0825) loss_contra: 0.0000 (0.0015) time: 2.6105 data: 0.0025 max mem: 31671 Epoch: [26] [2060/5278] eta: 2:20:10 lr: 1.8948476005615104e-05 loss: 0.0386 (0.0470) loss_seg: 0.0422 (0.0504) loss_lansim: 0.0821 (0.0826) loss_contra: 0.0000 (0.0015) time: 2.5964 data: 0.0025 max mem: 31671 Epoch: [26] [2070/5278] eta: 2:19:43 lr: 1.894610185697208e-05 loss: 0.0387 (0.0470) loss_seg: 0.0424 (0.0504) loss_lansim: 0.0821 (0.0826) loss_contra: 0.0000 (0.0015) time: 2.5901 data: 0.0025 max mem: 31671 Epoch: [26] [2080/5278] eta: 2:19:17 lr: 1.8943727675272355e-05 loss: 0.0387 (0.0469) loss_seg: 0.0424 (0.0504) loss_lansim: 0.0822 (0.0826) loss_contra: 0.0000 (0.0015) time: 2.5881 data: 0.0025 max mem: 31671 Epoch: [26] [2090/5278] eta: 2:18:51 lr: 1.8941353460510867e-05 loss: 0.0387 (0.0469) loss_seg: 0.0424 (0.0504) loss_lansim: 0.0822 (0.0826) loss_contra: 0.0000 (0.0015) time: 2.5911 data: 0.0025 max mem: 31671 Epoch: [26] [2100/5278] eta: 2:18:25 lr: 1.893897921268255e-05 loss: 0.0388 (0.0469) loss_seg: 0.0424 (0.0504) loss_lansim: 0.0839 (0.0826) loss_contra: 0.0000 (0.0016) time: 2.5883 data: 0.0026 max mem: 31671 Epoch: [26] [2110/5278] eta: 2:17:59 lr: 1.8936604931782343e-05 loss: 0.0401 (0.0469) loss_seg: 0.0426 (0.0503) loss_lansim: 0.0842 (0.0826) loss_contra: 0.0000 (0.0016) time: 2.5986 data: 0.0026 max mem: 31671 Epoch: [26] [2120/5278] eta: 2:17:33 lr: 1.8934230617805172e-05 loss: 0.0408 (0.0469) loss_seg: 0.0443 (0.0503) loss_lansim: 0.0842 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5970 data: 0.0026 max mem: 31671 Epoch: [26] [2130/5278] eta: 2:17:07 lr: 1.8931856270745964e-05 loss: 0.0418 (0.0469) loss_seg: 0.0454 (0.0504) loss_lansim: 0.0848 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5930 data: 0.0026 max mem: 31671 Epoch: [26] [2140/5278] eta: 2:16:40 lr: 1.8929481890599657e-05 loss: 0.0416 (0.0469) loss_seg: 0.0454 (0.0504) loss_lansim: 0.0839 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5990 data: 0.0026 max mem: 31671 Epoch: [26] [2150/5278] eta: 2:16:14 lr: 1.892710747736117e-05 loss: 0.0408 (0.0468) loss_seg: 0.0426 (0.0503) loss_lansim: 0.0833 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5995 data: 0.0026 max mem: 31671 Epoch: [26] [2160/5278] eta: 2:15:48 lr: 1.892473303102544e-05 loss: 0.0397 (0.0468) loss_seg: 0.0409 (0.0503) loss_lansim: 0.0833 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.6088 data: 0.0027 max mem: 31671 Epoch: [26] [2170/5278] eta: 2:15:21 lr: 1.8922358551587383e-05 loss: 0.0384 (0.0469) loss_seg: 0.0404 (0.0503) loss_lansim: 0.0836 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.6104 data: 0.0027 max mem: 31671 Epoch: [26] [2180/5278] eta: 2:14:54 lr: 1.8919984039041922e-05 loss: 0.0396 (0.0469) loss_seg: 0.0404 (0.0503) loss_lansim: 0.0835 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.6005 data: 0.0026 max mem: 31671 Epoch: [26] [2190/5278] eta: 2:14:28 lr: 1.8917609493383977e-05 loss: 0.0392 (0.0469) loss_seg: 0.0404 (0.0503) loss_lansim: 0.0838 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.6007 data: 0.0026 max mem: 31671 Epoch: [26] [2200/5278] eta: 2:14:01 lr: 1.8915234914608478e-05 loss: 0.0397 (0.0469) loss_seg: 0.0422 (0.0503) loss_lansim: 0.0829 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5995 data: 0.0026 max mem: 31671 Epoch: [26] [2210/5278] eta: 2:13:35 lr: 1.8912860302710335e-05 loss: 0.0408 (0.0469) loss_seg: 0.0422 (0.0503) loss_lansim: 0.0823 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5960 data: 0.0026 max mem: 31671 Epoch: [26] [2220/5278] eta: 2:13:10 lr: 1.891048565768446e-05 loss: 0.0396 (0.0470) loss_seg: 0.0409 (0.0504) loss_lansim: 0.0821 (0.0827) loss_contra: 0.0000 (0.0017) time: 2.6010 data: 0.0026 max mem: 31671 Epoch: [26] [2230/5278] eta: 2:12:44 lr: 1.890811097952578e-05 loss: 0.0397 (0.0469) loss_seg: 0.0422 (0.0504) loss_lansim: 0.0823 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.6044 data: 0.0026 max mem: 31671 Epoch: [26] [2240/5278] eta: 2:12:17 lr: 1.890573626822921e-05 loss: 0.0397 (0.0469) loss_seg: 0.0422 (0.0504) loss_lansim: 0.0829 (0.0829) loss_contra: 0.0001 (0.0017) time: 2.6039 data: 0.0026 max mem: 31671 Epoch: [26] [2250/5278] eta: 2:11:51 lr: 1.8903361523789653e-05 loss: 0.0411 (0.0469) loss_seg: 0.0440 (0.0504) loss_lansim: 0.0855 (0.0829) loss_contra: 0.0001 (0.0017) time: 2.6075 data: 0.0026 max mem: 31671 Epoch: [26] [2260/5278] eta: 2:11:26 lr: 1.8900986746202022e-05 loss: 0.0411 (0.0469) loss_seg: 0.0439 (0.0503) loss_lansim: 0.0857 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6106 data: 0.0026 max mem: 31671 Epoch: [26] [2270/5278] eta: 2:10:59 lr: 1.8898611935461228e-05 loss: 0.0415 (0.0469) loss_seg: 0.0440 (0.0503) loss_lansim: 0.0857 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6104 data: 0.0026 max mem: 31671 Epoch: [26] [2280/5278] eta: 2:10:33 lr: 1.8896237091562186e-05 loss: 0.0408 (0.0468) loss_seg: 0.0426 (0.0503) loss_lansim: 0.0857 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6186 data: 0.0026 max mem: 31671 Epoch: [26] [2290/5278] eta: 2:10:07 lr: 1.8893862214499793e-05 loss: 0.0408 (0.0468) loss_seg: 0.0426 (0.0503) loss_lansim: 0.0845 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6143 data: 0.0026 max mem: 31671 Epoch: [26] [2300/5278] eta: 2:09:41 lr: 1.889148730426895e-05 loss: 0.0408 (0.0469) loss_seg: 0.0420 (0.0503) loss_lansim: 0.0859 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6193 data: 0.0027 max mem: 31671 Epoch: [26] [2310/5278] eta: 2:09:15 lr: 1.8889112360864575e-05 loss: 0.0400 (0.0469) loss_seg: 0.0420 (0.0503) loss_lansim: 0.0866 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6197 data: 0.0027 max mem: 31671 Epoch: [26] [2320/5278] eta: 2:08:48 lr: 1.8886737384281566e-05 loss: 0.0395 (0.0469) loss_seg: 0.0411 (0.0503) loss_lansim: 0.0866 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6120 data: 0.0026 max mem: 31671 Epoch: [26] [2330/5278] eta: 2:08:22 lr: 1.8884362374514816e-05 loss: 0.0393 (0.0469) loss_seg: 0.0409 (0.0504) loss_lansim: 0.0859 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6080 data: 0.0026 max mem: 31671 Epoch: [26] [2340/5278] eta: 2:07:56 lr: 1.888198733155923e-05 loss: 0.0393 (0.0469) loss_seg: 0.0411 (0.0504) loss_lansim: 0.0845 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6102 data: 0.0026 max mem: 31671 Epoch: [26] [2350/5278] eta: 2:07:30 lr: 1.8879612255409704e-05 loss: 0.0388 (0.0470) loss_seg: 0.0409 (0.0504) loss_lansim: 0.0852 (0.0830) loss_contra: 0.0001 (0.0017) time: 2.6113 data: 0.0026 max mem: 31671 Epoch: [26] [2360/5278] eta: 2:07:05 lr: 1.887723714606114e-05 loss: 0.0388 (0.0470) loss_seg: 0.0414 (0.0504) loss_lansim: 0.0842 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.6170 data: 0.0026 max mem: 31671 Epoch: [26] [2370/5278] eta: 2:06:39 lr: 1.887486200350842e-05 loss: 0.0384 (0.0470) loss_seg: 0.0420 (0.0504) loss_lansim: 0.0844 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.6207 data: 0.0026 max mem: 31671 Epoch: [26] [2380/5278] eta: 2:06:13 lr: 1.8872486827746445e-05 loss: 0.0399 (0.0470) loss_seg: 0.0434 (0.0504) loss_lansim: 0.0844 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.6242 data: 0.0026 max mem: 31671 Epoch: [26] [2390/5278] eta: 2:05:47 lr: 1.887011161877011e-05 loss: 0.0395 (0.0470) loss_seg: 0.0432 (0.0504) loss_lansim: 0.0844 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.6269 data: 0.0026 max mem: 31671 Epoch: [26] [2400/5278] eta: 2:05:22 lr: 1.8867736376574298e-05 loss: 0.0384 (0.0469) loss_seg: 0.0421 (0.0504) loss_lansim: 0.0844 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.6291 data: 0.0026 max mem: 31671 Epoch: [26] [2410/5278] eta: 2:04:55 lr: 1.8865361101153905e-05 loss: 0.0389 (0.0470) loss_seg: 0.0421 (0.0504) loss_lansim: 0.0843 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.6283 data: 0.0026 max mem: 31671 Epoch: [26] [2420/5278] eta: 2:04:30 lr: 1.8862985792503813e-05 loss: 0.0429 (0.0470) loss_seg: 0.0444 (0.0504) loss_lansim: 0.0844 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.6352 data: 0.0026 max mem: 31671 Epoch: [26] [2430/5278] eta: 2:04:05 lr: 1.8860610450618903e-05 loss: 0.0416 (0.0470) loss_seg: 0.0444 (0.0504) loss_lansim: 0.0846 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.6458 data: 0.0026 max mem: 31671 Epoch: [26] [2440/5278] eta: 2:03:38 lr: 1.885823507549407e-05 loss: 0.0433 (0.0470) loss_seg: 0.0472 (0.0504) loss_lansim: 0.0856 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.6423 data: 0.0026 max mem: 31671 Epoch: [26] [2450/5278] eta: 2:03:12 lr: 1.8855859667124194e-05 loss: 0.0430 (0.0470) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0849 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.6377 data: 0.0026 max mem: 31671 Epoch: [26] [2460/5278] eta: 2:02:45 lr: 1.8853484225504146e-05 loss: 0.0431 (0.0470) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0857 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.6257 data: 0.0026 max mem: 31671 Epoch: [26] [2470/5278] eta: 2:02:19 lr: 1.885110875062882e-05 loss: 0.0431 (0.0470) loss_seg: 0.0444 (0.0505) loss_lansim: 0.0857 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.6273 data: 0.0026 max mem: 31671 Epoch: [26] [2480/5278] eta: 2:01:54 lr: 1.884873324249308e-05 loss: 0.0430 (0.0470) loss_seg: 0.0444 (0.0504) loss_lansim: 0.0869 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.6294 data: 0.0025 max mem: 31671 Epoch: [26] [2490/5278] eta: 2:01:27 lr: 1.884635770109182e-05 loss: 0.0431 (0.0470) loss_seg: 0.0455 (0.0505) loss_lansim: 0.0871 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.6241 data: 0.0026 max mem: 31671 Epoch: [26] [2500/5278] eta: 2:01:01 lr: 1.8843982126419896e-05 loss: 0.0431 (0.0470) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0877 (0.0834) loss_contra: 0.0000 (0.0017) time: 2.6164 data: 0.0026 max mem: 31671 Epoch: [26] [2510/5278] eta: 2:00:35 lr: 1.884160651847219e-05 loss: 0.0443 (0.0470) loss_seg: 0.0475 (0.0504) loss_lansim: 0.0891 (0.0834) loss_contra: 0.0000 (0.0017) time: 2.6200 data: 0.0026 max mem: 31671 Epoch: [26] [2520/5278] eta: 2:00:08 lr: 1.883923087724358e-05 loss: 0.0433 (0.0470) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0890 (0.0834) loss_contra: 0.0000 (0.0017) time: 2.6165 data: 0.0026 max mem: 31671 Epoch: [26] [2530/5278] eta: 1:59:42 lr: 1.8836855202728933e-05 loss: 0.0439 (0.0469) loss_seg: 0.0461 (0.0504) loss_lansim: 0.0891 (0.0834) loss_contra: 0.0000 (0.0017) time: 2.6013 data: 0.0026 max mem: 31671 Epoch: [26] [2540/5278] eta: 1:59:16 lr: 1.883447949492311e-05 loss: 0.0410 (0.0469) loss_seg: 0.0422 (0.0503) loss_lansim: 0.0890 (0.0834) loss_contra: 0.0000 (0.0017) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [26] [2550/5278] eta: 1:58:49 lr: 1.8832103753820983e-05 loss: 0.0424 (0.0469) loss_seg: 0.0427 (0.0504) loss_lansim: 0.0908 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.6033 data: 0.0026 max mem: 31671 Epoch: [26] [2560/5278] eta: 1:58:23 lr: 1.8829727979417425e-05 loss: 0.0418 (0.0469) loss_seg: 0.0427 (0.0504) loss_lansim: 0.0895 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.6085 data: 0.0026 max mem: 31671 Epoch: [26] [2570/5278] eta: 1:57:56 lr: 1.8827352171707298e-05 loss: 0.0418 (0.0470) loss_seg: 0.0427 (0.0504) loss_lansim: 0.0877 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.5986 data: 0.0026 max mem: 31671 Epoch: [26] [2580/5278] eta: 1:57:30 lr: 1.8824976330685455e-05 loss: 0.0412 (0.0470) loss_seg: 0.0422 (0.0504) loss_lansim: 0.0864 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.5915 data: 0.0026 max mem: 31671 Epoch: [26] [2590/5278] eta: 1:57:04 lr: 1.882260045634677e-05 loss: 0.0412 (0.0470) loss_seg: 0.0426 (0.0504) loss_lansim: 0.0862 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.6003 data: 0.0026 max mem: 31671 Epoch: [26] [2600/5278] eta: 1:56:38 lr: 1.8820224548686095e-05 loss: 0.0418 (0.0470) loss_seg: 0.0448 (0.0504) loss_lansim: 0.0855 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.6065 data: 0.0026 max mem: 31671 Epoch: [26] [2610/5278] eta: 1:56:12 lr: 1.8817848607698295e-05 loss: 0.0418 (0.0470) loss_seg: 0.0426 (0.0504) loss_lansim: 0.0853 (0.0835) loss_contra: 0.0000 (0.0018) time: 2.6052 data: 0.0026 max mem: 31671 Epoch: [26] [2620/5278] eta: 1:55:46 lr: 1.881547263337822e-05 loss: 0.0425 (0.0470) loss_seg: 0.0460 (0.0505) loss_lansim: 0.0861 (0.0836) loss_contra: 0.0000 (0.0017) time: 2.6064 data: 0.0026 max mem: 31671 Epoch: [26] [2630/5278] eta: 1:55:20 lr: 1.8813096625720728e-05 loss: 0.0425 (0.0470) loss_seg: 0.0448 (0.0505) loss_lansim: 0.0857 (0.0836) loss_contra: 0.0000 (0.0018) time: 2.6074 data: 0.0026 max mem: 31671 Epoch: [26] [2640/5278] eta: 1:54:53 lr: 1.8810720584720675e-05 loss: 0.0432 (0.0470) loss_seg: 0.0462 (0.0505) loss_lansim: 0.0861 (0.0836) loss_contra: 0.0000 (0.0018) time: 2.6062 data: 0.0026 max mem: 31671 Epoch: [26] [2650/5278] eta: 1:54:27 lr: 1.8808344510372907e-05 loss: 0.0431 (0.0470) loss_seg: 0.0460 (0.0504) loss_lansim: 0.0861 (0.0836) loss_contra: 0.0001 (0.0018) time: 2.6110 data: 0.0026 max mem: 31671 Epoch: [26] [2660/5278] eta: 1:54:01 lr: 1.8805968402672292e-05 loss: 0.0425 (0.0470) loss_seg: 0.0438 (0.0504) loss_lansim: 0.0863 (0.0836) loss_contra: 0.0000 (0.0018) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [26] [2670/5278] eta: 1:53:35 lr: 1.8803592261613656e-05 loss: 0.0425 (0.0469) loss_seg: 0.0438 (0.0504) loss_lansim: 0.0865 (0.0837) loss_contra: 0.0000 (0.0018) time: 2.6091 data: 0.0026 max mem: 31671 Epoch: [26] [2680/5278] eta: 1:53:09 lr: 1.880121608719186e-05 loss: 0.0427 (0.0469) loss_seg: 0.0440 (0.0504) loss_lansim: 0.0871 (0.0837) loss_contra: 0.0000 (0.0018) time: 2.6160 data: 0.0026 max mem: 31671 Epoch: [26] [2690/5278] eta: 1:52:43 lr: 1.8798839879401753e-05 loss: 0.0422 (0.0470) loss_seg: 0.0438 (0.0504) loss_lansim: 0.0876 (0.0837) loss_contra: 0.0000 (0.0019) time: 2.6112 data: 0.0026 max mem: 31671 Epoch: [26] [2700/5278] eta: 1:52:16 lr: 1.8796463638238178e-05 loss: 0.0425 (0.0470) loss_seg: 0.0438 (0.0504) loss_lansim: 0.0881 (0.0837) loss_contra: 0.0000 (0.0019) time: 2.6034 data: 0.0026 max mem: 31671 Epoch: [26] [2710/5278] eta: 1:51:50 lr: 1.8794087363695966e-05 loss: 0.0425 (0.0470) loss_seg: 0.0440 (0.0505) loss_lansim: 0.0882 (0.0837) loss_contra: 0.0001 (0.0019) time: 2.6061 data: 0.0026 max mem: 31671 Epoch: [26] [2720/5278] eta: 1:51:24 lr: 1.8791711055769972e-05 loss: 0.0404 (0.0470) loss_seg: 0.0422 (0.0505) loss_lansim: 0.0882 (0.0838) loss_contra: 0.0000 (0.0019) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [26] [2730/5278] eta: 1:50:58 lr: 1.8789334714455035e-05 loss: 0.0393 (0.0470) loss_seg: 0.0411 (0.0504) loss_lansim: 0.0882 (0.0838) loss_contra: 0.0000 (0.0021) time: 2.6060 data: 0.0026 max mem: 31671 Epoch: [26] [2740/5278] eta: 1:50:32 lr: 1.8786958339745993e-05 loss: 0.0389 (0.0469) loss_seg: 0.0400 (0.0504) loss_lansim: 0.0881 (0.0838) loss_contra: 0.0000 (0.0021) time: 2.6135 data: 0.0026 max mem: 31671 Epoch: [26] [2750/5278] eta: 1:50:06 lr: 1.878458193163768e-05 loss: 0.0390 (0.0469) loss_seg: 0.0411 (0.0504) loss_lansim: 0.0878 (0.0838) loss_contra: 0.0000 (0.0021) time: 2.6117 data: 0.0026 max mem: 31671 Epoch: [26] [2760/5278] eta: 1:49:40 lr: 1.878220549012493e-05 loss: 0.0393 (0.0469) loss_seg: 0.0411 (0.0504) loss_lansim: 0.0878 (0.0838) loss_contra: 0.0000 (0.0021) time: 2.6201 data: 0.0026 max mem: 31671 Epoch: [26] [2770/5278] eta: 1:49:14 lr: 1.877982901520258e-05 loss: 0.0393 (0.0469) loss_seg: 0.0411 (0.0504) loss_lansim: 0.0881 (0.0838) loss_contra: 0.0000 (0.0021) time: 2.6204 data: 0.0026 max mem: 31671 Epoch: [26] [2780/5278] eta: 1:48:48 lr: 1.877745250686547e-05 loss: 0.0394 (0.0470) loss_seg: 0.0411 (0.0504) loss_lansim: 0.0882 (0.0839) loss_contra: 0.0000 (0.0021) time: 2.6200 data: 0.0026 max mem: 31671 Epoch: [26] [2790/5278] eta: 1:48:22 lr: 1.877507596510842e-05 loss: 0.0389 (0.0470) loss_seg: 0.0410 (0.0504) loss_lansim: 0.0885 (0.0839) loss_contra: 0.0000 (0.0023) time: 2.6177 data: 0.0026 max mem: 31671 Epoch: [26] [2800/5278] eta: 1:47:56 lr: 1.8772699389926262e-05 loss: 0.0389 (0.0470) loss_seg: 0.0410 (0.0504) loss_lansim: 0.0881 (0.0839) loss_contra: 0.0001 (0.0023) time: 2.6240 data: 0.0026 max mem: 31671 Epoch: [26] [2810/5278] eta: 1:47:30 lr: 1.8770322781313825e-05 loss: 0.0363 (0.0470) loss_seg: 0.0392 (0.0504) loss_lansim: 0.0874 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6285 data: 0.0026 max mem: 31671 Epoch: [26] [2820/5278] eta: 1:47:04 lr: 1.8767946139265945e-05 loss: 0.0374 (0.0470) loss_seg: 0.0396 (0.0504) loss_lansim: 0.0872 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6263 data: 0.0026 max mem: 31671 Epoch: [26] [2830/5278] eta: 1:46:37 lr: 1.876556946377743e-05 loss: 0.0390 (0.0471) loss_seg: 0.0428 (0.0505) loss_lansim: 0.0873 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6249 data: 0.0026 max mem: 31671 Epoch: [26] [2840/5278] eta: 1:46:11 lr: 1.8763192754843113e-05 loss: 0.0399 (0.0471) loss_seg: 0.0429 (0.0505) loss_lansim: 0.0872 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6149 data: 0.0026 max mem: 31671 Epoch: [26] [2850/5278] eta: 1:45:45 lr: 1.8760816012457817e-05 loss: 0.0399 (0.0471) loss_seg: 0.0431 (0.0505) loss_lansim: 0.0868 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6182 data: 0.0027 max mem: 31671 Epoch: [26] [2860/5278] eta: 1:45:19 lr: 1.875843923661636e-05 loss: 0.0394 (0.0471) loss_seg: 0.0431 (0.0505) loss_lansim: 0.0868 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6152 data: 0.0026 max mem: 31671 Epoch: [26] [2870/5278] eta: 1:44:53 lr: 1.8756062427313557e-05 loss: 0.0402 (0.0471) loss_seg: 0.0431 (0.0505) loss_lansim: 0.0835 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6184 data: 0.0026 max mem: 31671 Epoch: [26] [2880/5278] eta: 1:44:27 lr: 1.8753685584544236e-05 loss: 0.0392 (0.0470) loss_seg: 0.0431 (0.0505) loss_lansim: 0.0834 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6160 data: 0.0026 max mem: 31671 Epoch: [26] [2890/5278] eta: 1:44:01 lr: 1.87513087083032e-05 loss: 0.0400 (0.0470) loss_seg: 0.0431 (0.0504) loss_lansim: 0.0830 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6155 data: 0.0026 max mem: 31671 Epoch: [26] [2900/5278] eta: 1:43:35 lr: 1.874893179858527e-05 loss: 0.0400 (0.0470) loss_seg: 0.0431 (0.0504) loss_lansim: 0.0834 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6187 data: 0.0026 max mem: 31671 Epoch: [26] [2910/5278] eta: 1:43:10 lr: 1.8746554855385263e-05 loss: 0.0416 (0.0470) loss_seg: 0.0441 (0.0504) loss_lansim: 0.0830 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6303 data: 0.0026 max mem: 31671 Epoch: [26] [2920/5278] eta: 1:42:44 lr: 1.8744177878697983e-05 loss: 0.0402 (0.0470) loss_seg: 0.0439 (0.0504) loss_lansim: 0.0833 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6355 data: 0.0026 max mem: 31671 Epoch: [26] [2930/5278] eta: 1:42:19 lr: 1.874180086851824e-05 loss: 0.0402 (0.0470) loss_seg: 0.0439 (0.0504) loss_lansim: 0.0830 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6438 data: 0.0025 max mem: 31671 Epoch: [26] [2940/5278] eta: 1:41:52 lr: 1.8739423824840845e-05 loss: 0.0393 (0.0470) loss_seg: 0.0431 (0.0504) loss_lansim: 0.0834 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6430 data: 0.0026 max mem: 31671 Epoch: [26] [2950/5278] eta: 1:41:26 lr: 1.8737046747660607e-05 loss: 0.0400 (0.0470) loss_seg: 0.0431 (0.0504) loss_lansim: 0.0834 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6469 data: 0.0026 max mem: 31671 Epoch: [26] [2960/5278] eta: 1:41:01 lr: 1.8734669636972328e-05 loss: 0.0400 (0.0470) loss_seg: 0.0431 (0.0504) loss_lansim: 0.0822 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6547 data: 0.0026 max mem: 31671 Epoch: [26] [2970/5278] eta: 1:40:35 lr: 1.8732292492770807e-05 loss: 0.0402 (0.0469) loss_seg: 0.0434 (0.0503) loss_lansim: 0.0834 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6590 data: 0.0026 max mem: 31671 Epoch: [26] [2980/5278] eta: 1:40:10 lr: 1.872991531505085e-05 loss: 0.0416 (0.0469) loss_seg: 0.0444 (0.0504) loss_lansim: 0.0836 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6695 data: 0.0026 max mem: 31671 Epoch: [26] [2990/5278] eta: 1:39:44 lr: 1.8727538103807266e-05 loss: 0.0413 (0.0469) loss_seg: 0.0441 (0.0503) loss_lansim: 0.0837 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6766 data: 0.0026 max mem: 31671 Epoch: [26] [3000/5278] eta: 1:39:18 lr: 1.872516085903484e-05 loss: 0.0417 (0.0469) loss_seg: 0.0449 (0.0503) loss_lansim: 0.0844 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6736 data: 0.0025 max mem: 31671 Epoch: [26] [3010/5278] eta: 1:38:52 lr: 1.8722783580728374e-05 loss: 0.0417 (0.0469) loss_seg: 0.0444 (0.0503) loss_lansim: 0.0848 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6549 data: 0.0025 max mem: 31671 Epoch: [26] [3020/5278] eta: 1:38:26 lr: 1.8720406268882665e-05 loss: 0.0419 (0.0470) loss_seg: 0.0449 (0.0504) loss_lansim: 0.0837 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6559 data: 0.0026 max mem: 31671 Epoch: [26] [3030/5278] eta: 1:38:00 lr: 1.8718028923492513e-05 loss: 0.0419 (0.0470) loss_seg: 0.0449 (0.0504) loss_lansim: 0.0839 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6600 data: 0.0026 max mem: 31671 Epoch: [26] [3040/5278] eta: 1:37:34 lr: 1.87156515445527e-05 loss: 0.0421 (0.0470) loss_seg: 0.0459 (0.0504) loss_lansim: 0.0828 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6591 data: 0.0026 max mem: 31671 Epoch: [26] [3050/5278] eta: 1:37:08 lr: 1.871327413205802e-05 loss: 0.0421 (0.0470) loss_seg: 0.0460 (0.0504) loss_lansim: 0.0828 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6605 data: 0.0027 max mem: 31671 Epoch: [26] [3060/5278] eta: 1:36:42 lr: 1.871089668600327e-05 loss: 0.0416 (0.0470) loss_seg: 0.0452 (0.0504) loss_lansim: 0.0839 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6491 data: 0.0026 max mem: 31671 Epoch: [26] [3070/5278] eta: 1:36:16 lr: 1.870851920638323e-05 loss: 0.0401 (0.0469) loss_seg: 0.0433 (0.0503) loss_lansim: 0.0835 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6477 data: 0.0026 max mem: 31671 Epoch: [26] [3080/5278] eta: 1:35:50 lr: 1.870614169319269e-05 loss: 0.0397 (0.0469) loss_seg: 0.0426 (0.0503) loss_lansim: 0.0830 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6381 data: 0.0027 max mem: 31671 Epoch: [26] [3090/5278] eta: 1:35:24 lr: 1.8703764146426437e-05 loss: 0.0402 (0.0469) loss_seg: 0.0433 (0.0503) loss_lansim: 0.0839 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6334 data: 0.0027 max mem: 31671 Epoch: [26] [3100/5278] eta: 1:34:58 lr: 1.870138656607925e-05 loss: 0.0389 (0.0469) loss_seg: 0.0418 (0.0503) loss_lansim: 0.0828 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6338 data: 0.0027 max mem: 31671 Epoch: [26] [3110/5278] eta: 1:34:32 lr: 1.8699008952145914e-05 loss: 0.0389 (0.0469) loss_seg: 0.0409 (0.0503) loss_lansim: 0.0827 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6362 data: 0.0027 max mem: 31671 Epoch: [26] [3120/5278] eta: 1:34:05 lr: 1.8696631304621208e-05 loss: 0.0383 (0.0469) loss_seg: 0.0409 (0.0503) loss_lansim: 0.0827 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6236 data: 0.0026 max mem: 31671 Epoch: [26] [3130/5278] eta: 1:33:39 lr: 1.869425362349991e-05 loss: 0.0377 (0.0468) loss_seg: 0.0400 (0.0502) loss_lansim: 0.0822 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6127 data: 0.0026 max mem: 31671 Epoch: [26] [3140/5278] eta: 1:33:13 lr: 1.8691875908776795e-05 loss: 0.0371 (0.0468) loss_seg: 0.0390 (0.0502) loss_lansim: 0.0821 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6213 data: 0.0026 max mem: 31671 Epoch: [26] [3150/5278] eta: 1:32:47 lr: 1.8689498160446643e-05 loss: 0.0371 (0.0468) loss_seg: 0.0389 (0.0502) loss_lansim: 0.0807 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6165 data: 0.0026 max mem: 31671 Epoch: [26] [3160/5278] eta: 1:32:20 lr: 1.8687120378504236e-05 loss: 0.0371 (0.0468) loss_seg: 0.0390 (0.0502) loss_lansim: 0.0800 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6179 data: 0.0026 max mem: 31671 Epoch: [26] [3170/5278] eta: 1:31:54 lr: 1.8684742562944333e-05 loss: 0.0377 (0.0468) loss_seg: 0.0399 (0.0502) loss_lansim: 0.0809 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6063 data: 0.0026 max mem: 31671 Epoch: [26] [3180/5278] eta: 1:31:28 lr: 1.868236471376171e-05 loss: 0.0379 (0.0469) loss_seg: 0.0405 (0.0503) loss_lansim: 0.0807 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6043 data: 0.0026 max mem: 31671 Epoch: [26] [3190/5278] eta: 1:31:01 lr: 1.867998683095113e-05 loss: 0.0377 (0.0469) loss_seg: 0.0400 (0.0503) loss_lansim: 0.0796 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6008 data: 0.0026 max mem: 31671 Epoch: [26] [3200/5278] eta: 1:30:35 lr: 1.8677608914507376e-05 loss: 0.0393 (0.0469) loss_seg: 0.0414 (0.0503) loss_lansim: 0.0796 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6051 data: 0.0027 max mem: 31671 Epoch: [26] [3210/5278] eta: 1:30:09 lr: 1.8675230964425204e-05 loss: 0.0384 (0.0469) loss_seg: 0.0414 (0.0503) loss_lansim: 0.0814 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.5996 data: 0.0026 max mem: 31671 Epoch: [26] [3220/5278] eta: 1:29:43 lr: 1.867285298069938e-05 loss: 0.0379 (0.0469) loss_seg: 0.0405 (0.0503) loss_lansim: 0.0814 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6067 data: 0.0027 max mem: 31671 Epoch: [26] [3230/5278] eta: 1:29:17 lr: 1.8670474963324664e-05 loss: 0.0380 (0.0468) loss_seg: 0.0416 (0.0502) loss_lansim: 0.0820 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6127 data: 0.0027 max mem: 31671 Epoch: [26] [3240/5278] eta: 1:28:50 lr: 1.8668096912295834e-05 loss: 0.0389 (0.0468) loss_seg: 0.0423 (0.0502) loss_lansim: 0.0819 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6052 data: 0.0027 max mem: 31671 Epoch: [26] [3250/5278] eta: 1:28:24 lr: 1.8665718827607625e-05 loss: 0.0385 (0.0468) loss_seg: 0.0416 (0.0502) loss_lansim: 0.0825 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6059 data: 0.0027 max mem: 31671 Epoch: [26] [3260/5278] eta: 1:27:58 lr: 1.8663340709254816e-05 loss: 0.0384 (0.0467) loss_seg: 0.0415 (0.0501) loss_lansim: 0.0820 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6040 data: 0.0027 max mem: 31671 Epoch: [26] [3270/5278] eta: 1:27:31 lr: 1.866096255723215e-05 loss: 0.0384 (0.0467) loss_seg: 0.0416 (0.0501) loss_lansim: 0.0820 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6038 data: 0.0027 max mem: 31671 Epoch: [26] [3280/5278] eta: 1:27:05 lr: 1.8658584371534398e-05 loss: 0.0380 (0.0467) loss_seg: 0.0394 (0.0501) loss_lansim: 0.0824 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6038 data: 0.0027 max mem: 31671 Epoch: [26] [3290/5278] eta: 1:26:39 lr: 1.86562061521563e-05 loss: 0.0377 (0.0467) loss_seg: 0.0394 (0.0501) loss_lansim: 0.0818 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6090 data: 0.0026 max mem: 31671 Epoch: [26] [3300/5278] eta: 1:26:13 lr: 1.8653827899092613e-05 loss: 0.0369 (0.0468) loss_seg: 0.0391 (0.0502) loss_lansim: 0.0820 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6040 data: 0.0026 max mem: 31671 Epoch: [26] [3310/5278] eta: 1:25:47 lr: 1.8651449612338088e-05 loss: 0.0369 (0.0468) loss_seg: 0.0392 (0.0502) loss_lansim: 0.0820 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6024 data: 0.0026 max mem: 31671 Epoch: [26] [3320/5278] eta: 1:25:21 lr: 1.864907129188748e-05 loss: 0.0372 (0.0468) loss_seg: 0.0394 (0.0502) loss_lansim: 0.0820 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6133 data: 0.0027 max mem: 31671 Epoch: [26] [3330/5278] eta: 1:24:55 lr: 1.8646692937735526e-05 loss: 0.0377 (0.0468) loss_seg: 0.0405 (0.0502) loss_lansim: 0.0814 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6074 data: 0.0027 max mem: 31671 Epoch: [26] [3340/5278] eta: 1:24:29 lr: 1.864431454987698e-05 loss: 0.0377 (0.0468) loss_seg: 0.0408 (0.0502) loss_lansim: 0.0832 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6176 data: 0.0027 max mem: 31671 Epoch: [26] [3350/5278] eta: 1:24:03 lr: 1.864193612830658e-05 loss: 0.0386 (0.0469) loss_seg: 0.0423 (0.0503) loss_lansim: 0.0829 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6127 data: 0.0026 max mem: 31671 Epoch: [26] [3360/5278] eta: 1:23:37 lr: 1.863955767301908e-05 loss: 0.0384 (0.0468) loss_seg: 0.0420 (0.0503) loss_lansim: 0.0832 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6227 data: 0.0026 max mem: 31671 Epoch: [26] [3370/5278] eta: 1:23:11 lr: 1.863717918400921e-05 loss: 0.0377 (0.0468) loss_seg: 0.0413 (0.0502) loss_lansim: 0.0829 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6301 data: 0.0026 max mem: 31671 Epoch: [26] [3380/5278] eta: 1:22:44 lr: 1.8634800661271713e-05 loss: 0.0384 (0.0468) loss_seg: 0.0420 (0.0502) loss_lansim: 0.0825 (0.0838) loss_contra: 0.0000 (0.0025) time: 2.6266 data: 0.0026 max mem: 31671 Epoch: [26] [3390/5278] eta: 1:22:18 lr: 1.863242210480133e-05 loss: 0.0384 (0.0468) loss_seg: 0.0420 (0.0502) loss_lansim: 0.0831 (0.0839) loss_contra: 0.0000 (0.0025) time: 2.6204 data: 0.0026 max mem: 31671 Epoch: [26] [3400/5278] eta: 1:21:52 lr: 1.8630043514592797e-05 loss: 0.0382 (0.0468) loss_seg: 0.0420 (0.0502) loss_lansim: 0.0831 (0.0839) loss_contra: 0.0001 (0.0025) time: 2.6182 data: 0.0026 max mem: 31671 Epoch: [26] [3410/5278] eta: 1:21:25 lr: 1.8627664890640856e-05 loss: 0.0382 (0.0467) loss_seg: 0.0420 (0.0502) loss_lansim: 0.0842 (0.0839) loss_contra: 0.0001 (0.0024) time: 2.6172 data: 0.0026 max mem: 31671 Epoch: [26] [3420/5278] eta: 1:20:58 lr: 1.862528623294022e-05 loss: 0.0384 (0.0468) loss_seg: 0.0421 (0.0502) loss_lansim: 0.0842 (0.0839) loss_contra: 0.0001 (0.0024) time: 2.5971 data: 0.0026 max mem: 31671 Epoch: [26] [3430/5278] eta: 1:20:32 lr: 1.8622907541485642e-05 loss: 0.0384 (0.0468) loss_seg: 0.0420 (0.0502) loss_lansim: 0.0838 (0.0839) loss_contra: 0.0001 (0.0024) time: 2.5857 data: 0.0026 max mem: 31671 Epoch: [26] [3440/5278] eta: 1:20:05 lr: 1.8620528816271847e-05 loss: 0.0387 (0.0468) loss_seg: 0.0422 (0.0502) loss_lansim: 0.0838 (0.0839) loss_contra: 0.0001 (0.0024) time: 2.5693 data: 0.0026 max mem: 31671 Epoch: [26] [3450/5278] eta: 1:19:39 lr: 1.861815005729356e-05 loss: 0.0384 (0.0468) loss_seg: 0.0420 (0.0502) loss_lansim: 0.0839 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5699 data: 0.0026 max mem: 31671 Epoch: [26] [3460/5278] eta: 1:19:13 lr: 1.8615771264545506e-05 loss: 0.0384 (0.0468) loss_seg: 0.0420 (0.0502) loss_lansim: 0.0839 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5645 data: 0.0026 max mem: 31671 Epoch: [26] [3470/5278] eta: 1:18:46 lr: 1.8613392438022416e-05 loss: 0.0386 (0.0468) loss_seg: 0.0421 (0.0502) loss_lansim: 0.0839 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5604 data: 0.0026 max mem: 31671 Epoch: [26] [3480/5278] eta: 1:18:20 lr: 1.8611013577719012e-05 loss: 0.0386 (0.0468) loss_seg: 0.0421 (0.0502) loss_lansim: 0.0842 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5640 data: 0.0026 max mem: 31671 Epoch: [26] [3490/5278] eta: 1:17:53 lr: 1.860863468363003e-05 loss: 0.0415 (0.0469) loss_seg: 0.0434 (0.0503) loss_lansim: 0.0828 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5580 data: 0.0026 max mem: 31671 Epoch: [26] [3500/5278] eta: 1:17:27 lr: 1.8606255755750167e-05 loss: 0.0421 (0.0469) loss_seg: 0.0439 (0.0503) loss_lansim: 0.0838 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [26] [3510/5278] eta: 1:17:00 lr: 1.860387679407415e-05 loss: 0.0422 (0.0468) loss_seg: 0.0458 (0.0503) loss_lansim: 0.0824 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5441 data: 0.0026 max mem: 31671 Epoch: [26] [3520/5278] eta: 1:16:34 lr: 1.8601497798596706e-05 loss: 0.0421 (0.0468) loss_seg: 0.0458 (0.0503) loss_lansim: 0.0828 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5630 data: 0.0025 max mem: 31671 Epoch: [26] [3530/5278] eta: 1:16:08 lr: 1.859911876931255e-05 loss: 0.0422 (0.0468) loss_seg: 0.0445 (0.0503) loss_lansim: 0.0830 (0.0839) loss_contra: 0.0000 (0.0024) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [26] [3540/5278] eta: 1:15:42 lr: 1.859673970621639e-05 loss: 0.0410 (0.0469) loss_seg: 0.0434 (0.0503) loss_lansim: 0.0842 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5828 data: 0.0025 max mem: 31671 Epoch: [26] [3550/5278] eta: 1:15:15 lr: 1.8594360609302942e-05 loss: 0.0406 (0.0469) loss_seg: 0.0429 (0.0503) loss_lansim: 0.0856 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5725 data: 0.0025 max mem: 31671 Epoch: [26] [3560/5278] eta: 1:14:49 lr: 1.8591981478566916e-05 loss: 0.0410 (0.0469) loss_seg: 0.0437 (0.0503) loss_lansim: 0.0851 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5603 data: 0.0025 max mem: 31671 Epoch: [26] [3570/5278] eta: 1:14:22 lr: 1.8589602314003033e-05 loss: 0.0426 (0.0469) loss_seg: 0.0445 (0.0503) loss_lansim: 0.0851 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5624 data: 0.0025 max mem: 31671 Epoch: [26] [3580/5278] eta: 1:13:56 lr: 1.858722311560598e-05 loss: 0.0431 (0.0469) loss_seg: 0.0442 (0.0503) loss_lansim: 0.0864 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [26] [3590/5278] eta: 1:13:29 lr: 1.858484388337048e-05 loss: 0.0397 (0.0468) loss_seg: 0.0422 (0.0503) loss_lansim: 0.0864 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5575 data: 0.0025 max mem: 31671 Epoch: [26] [3600/5278] eta: 1:13:04 lr: 1.8582464617291237e-05 loss: 0.0396 (0.0469) loss_seg: 0.0422 (0.0503) loss_lansim: 0.0864 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5726 data: 0.0026 max mem: 31671 Epoch: [26] [3610/5278] eta: 1:12:37 lr: 1.8580085317362955e-05 loss: 0.0385 (0.0469) loss_seg: 0.0415 (0.0503) loss_lansim: 0.0864 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5772 data: 0.0025 max mem: 31671 Epoch: [26] [3620/5278] eta: 1:12:11 lr: 1.8577705983580327e-05 loss: 0.0382 (0.0468) loss_seg: 0.0412 (0.0503) loss_lansim: 0.0851 (0.0840) loss_contra: 0.0000 (0.0024) time: 2.5626 data: 0.0026 max mem: 31671 Epoch: [26] [3630/5278] eta: 1:11:44 lr: 1.857532661593806e-05 loss: 0.0385 (0.0468) loss_seg: 0.0415 (0.0503) loss_lansim: 0.0857 (0.0841) loss_contra: 0.0000 (0.0024) time: 2.5703 data: 0.0026 max mem: 31671 Epoch: [26] [3640/5278] eta: 1:11:18 lr: 1.857294721443085e-05 loss: 0.0385 (0.0468) loss_seg: 0.0418 (0.0503) loss_lansim: 0.0850 (0.0841) loss_contra: 0.0000 (0.0024) time: 2.5653 data: 0.0025 max mem: 31671 Epoch: [26] [3650/5278] eta: 1:10:52 lr: 1.85705677790534e-05 loss: 0.0385 (0.0468) loss_seg: 0.0418 (0.0503) loss_lansim: 0.0848 (0.0841) loss_contra: 0.0000 (0.0024) time: 2.5727 data: 0.0025 max mem: 31671 Epoch: [26] [3660/5278] eta: 1:10:26 lr: 1.8568188309800407e-05 loss: 0.0391 (0.0468) loss_seg: 0.0421 (0.0503) loss_lansim: 0.0846 (0.0841) loss_contra: 0.0000 (0.0024) time: 2.5800 data: 0.0025 max mem: 31671 Epoch: [26] [3670/5278] eta: 1:09:59 lr: 1.856580880666656e-05 loss: 0.0385 (0.0468) loss_seg: 0.0415 (0.0503) loss_lansim: 0.0846 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5707 data: 0.0026 max mem: 31671 Epoch: [26] [3680/5278] eta: 1:09:33 lr: 1.8563429269646547e-05 loss: 0.0385 (0.0468) loss_seg: 0.0415 (0.0503) loss_lansim: 0.0845 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5690 data: 0.0026 max mem: 31671 Epoch: [26] [3690/5278] eta: 1:09:06 lr: 1.8561049698735064e-05 loss: 0.0388 (0.0468) loss_seg: 0.0415 (0.0503) loss_lansim: 0.0842 (0.0841) loss_contra: 0.0000 (0.0024) time: 2.5705 data: 0.0026 max mem: 31671 Epoch: [26] [3700/5278] eta: 1:08:40 lr: 1.855867009392681e-05 loss: 0.0384 (0.0468) loss_seg: 0.0413 (0.0502) loss_lansim: 0.0842 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5562 data: 0.0025 max mem: 31671 Epoch: [26] [3710/5278] eta: 1:08:13 lr: 1.855629045521645e-05 loss: 0.0396 (0.0468) loss_seg: 0.0431 (0.0502) loss_lansim: 0.0835 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5577 data: 0.0026 max mem: 31671 Epoch: [26] [3720/5278] eta: 1:07:47 lr: 1.8553910782598693e-05 loss: 0.0398 (0.0468) loss_seg: 0.0431 (0.0502) loss_lansim: 0.0840 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [26] [3730/5278] eta: 1:07:21 lr: 1.855153107606821e-05 loss: 0.0415 (0.0469) loss_seg: 0.0441 (0.0503) loss_lansim: 0.0840 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5500 data: 0.0026 max mem: 31671 Epoch: [26] [3740/5278] eta: 1:06:54 lr: 1.8549151335619696e-05 loss: 0.0394 (0.0469) loss_seg: 0.0428 (0.0503) loss_lansim: 0.0840 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5438 data: 0.0026 max mem: 31671 Epoch: [26] [3750/5278] eta: 1:06:28 lr: 1.854677156124782e-05 loss: 0.0388 (0.0468) loss_seg: 0.0416 (0.0503) loss_lansim: 0.0824 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5406 data: 0.0027 max mem: 31671 Epoch: [26] [3760/5278] eta: 1:06:02 lr: 1.8544391752947262e-05 loss: 0.0378 (0.0468) loss_seg: 0.0407 (0.0503) loss_lansim: 0.0825 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5410 data: 0.0027 max mem: 31671 Epoch: [26] [3770/5278] eta: 1:05:35 lr: 1.854201191071271e-05 loss: 0.0378 (0.0469) loss_seg: 0.0407 (0.0503) loss_lansim: 0.0843 (0.0841) loss_contra: 0.0001 (0.0024) time: 2.5451 data: 0.0027 max mem: 31671 Epoch: [26] [3780/5278] eta: 1:05:09 lr: 1.853963203453884e-05 loss: 0.0378 (0.0469) loss_seg: 0.0396 (0.0503) loss_lansim: 0.0826 (0.0842) loss_contra: 0.0001 (0.0024) time: 2.5559 data: 0.0027 max mem: 31671 Epoch: [26] [3790/5278] eta: 1:04:43 lr: 1.853725212442032e-05 loss: 0.0378 (0.0468) loss_seg: 0.0397 (0.0503) loss_lansim: 0.0842 (0.0842) loss_contra: 0.0001 (0.0024) time: 2.5547 data: 0.0027 max mem: 31671 Epoch: [26] [3800/5278] eta: 1:04:16 lr: 1.853487218035182e-05 loss: 0.0391 (0.0468) loss_seg: 0.0416 (0.0503) loss_lansim: 0.0855 (0.0842) loss_contra: 0.0001 (0.0024) time: 2.5467 data: 0.0027 max mem: 31671 Epoch: [26] [3810/5278] eta: 1:03:50 lr: 1.8532492202328023e-05 loss: 0.0378 (0.0468) loss_seg: 0.0397 (0.0502) loss_lansim: 0.0861 (0.0842) loss_contra: 0.0000 (0.0024) time: 2.5449 data: 0.0027 max mem: 31671 Epoch: [26] [3820/5278] eta: 1:03:24 lr: 1.8530112190343597e-05 loss: 0.0376 (0.0468) loss_seg: 0.0410 (0.0502) loss_lansim: 0.0861 (0.0842) loss_contra: 0.0001 (0.0024) time: 2.5532 data: 0.0027 max mem: 31671 Epoch: [26] [3830/5278] eta: 1:02:57 lr: 1.8527732144393205e-05 loss: 0.0378 (0.0468) loss_seg: 0.0411 (0.0502) loss_lansim: 0.0862 (0.0842) loss_contra: 0.0001 (0.0024) time: 2.5538 data: 0.0026 max mem: 31671 Epoch: [26] [3840/5278] eta: 1:02:31 lr: 1.852535206447152e-05 loss: 0.0382 (0.0468) loss_seg: 0.0411 (0.0502) loss_lansim: 0.0861 (0.0842) loss_contra: 0.0001 (0.0024) time: 2.5586 data: 0.0026 max mem: 31671 Epoch: [26] [3850/5278] eta: 1:02:05 lr: 1.85229719505732e-05 loss: 0.0399 (0.0468) loss_seg: 0.0430 (0.0502) loss_lansim: 0.0863 (0.0842) loss_contra: 0.0001 (0.0024) time: 2.5648 data: 0.0026 max mem: 31671 Epoch: [26] [3860/5278] eta: 1:01:39 lr: 1.8520591802692923e-05 loss: 0.0399 (0.0468) loss_seg: 0.0430 (0.0502) loss_lansim: 0.0862 (0.0843) loss_contra: 0.0001 (0.0024) time: 2.5587 data: 0.0026 max mem: 31671 Epoch: [26] [3870/5278] eta: 1:01:12 lr: 1.8518211620825333e-05 loss: 0.0400 (0.0468) loss_seg: 0.0430 (0.0502) loss_lansim: 0.0863 (0.0843) loss_contra: 0.0001 (0.0024) time: 2.5558 data: 0.0026 max mem: 31671 Epoch: [26] [3880/5278] eta: 1:00:46 lr: 1.85158314049651e-05 loss: 0.0411 (0.0468) loss_seg: 0.0439 (0.0502) loss_lansim: 0.0868 (0.0843) loss_contra: 0.0001 (0.0024) time: 2.5497 data: 0.0026 max mem: 31671 Epoch: [26] [3890/5278] eta: 1:00:20 lr: 1.8513451155106885e-05 loss: 0.0433 (0.0468) loss_seg: 0.0453 (0.0502) loss_lansim: 0.0879 (0.0843) loss_contra: 0.0001 (0.0024) time: 2.5479 data: 0.0026 max mem: 31671 Epoch: [26] [3900/5278] eta: 0:59:53 lr: 1.851107087124534e-05 loss: 0.0437 (0.0468) loss_seg: 0.0465 (0.0503) loss_lansim: 0.0874 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5542 data: 0.0026 max mem: 31671 Epoch: [26] [3910/5278] eta: 0:59:27 lr: 1.8508690553375136e-05 loss: 0.0440 (0.0468) loss_seg: 0.0481 (0.0503) loss_lansim: 0.0874 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5619 data: 0.0026 max mem: 31671 Epoch: [26] [3920/5278] eta: 0:59:01 lr: 1.8506310201490907e-05 loss: 0.0441 (0.0468) loss_seg: 0.0481 (0.0502) loss_lansim: 0.0876 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5560 data: 0.0026 max mem: 31671 Epoch: [26] [3930/5278] eta: 0:58:35 lr: 1.8503929815587313e-05 loss: 0.0441 (0.0468) loss_seg: 0.0480 (0.0503) loss_lansim: 0.0874 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5537 data: 0.0026 max mem: 31671 Epoch: [26] [3940/5278] eta: 0:58:08 lr: 1.8501549395659006e-05 loss: 0.0441 (0.0468) loss_seg: 0.0479 (0.0502) loss_lansim: 0.0874 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5451 data: 0.0026 max mem: 31671 Epoch: [26] [3950/5278] eta: 0:57:42 lr: 1.8499168941700643e-05 loss: 0.0441 (0.0468) loss_seg: 0.0476 (0.0502) loss_lansim: 0.0874 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [26] [3960/5278] eta: 0:57:16 lr: 1.849678845370686e-05 loss: 0.0441 (0.0468) loss_seg: 0.0479 (0.0503) loss_lansim: 0.0874 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [26] [3970/5278] eta: 0:56:49 lr: 1.8494407931672304e-05 loss: 0.0444 (0.0468) loss_seg: 0.0484 (0.0502) loss_lansim: 0.0847 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [26] [3980/5278] eta: 0:56:23 lr: 1.8492027375591626e-05 loss: 0.0434 (0.0469) loss_seg: 0.0456 (0.0503) loss_lansim: 0.0843 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [26] [3990/5278] eta: 0:55:56 lr: 1.8489646785459472e-05 loss: 0.0420 (0.0469) loss_seg: 0.0439 (0.0503) loss_lansim: 0.0844 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [26] [4000/5278] eta: 0:55:30 lr: 1.848726616127047e-05 loss: 0.0409 (0.0469) loss_seg: 0.0432 (0.0503) loss_lansim: 0.0844 (0.0844) loss_contra: 0.0000 (0.0024) time: 2.5222 data: 0.0024 max mem: 31671 Epoch: [26] [4010/5278] eta: 0:55:04 lr: 1.8484885503019273e-05 loss: 0.0373 (0.0469) loss_seg: 0.0408 (0.0503) loss_lansim: 0.0849 (0.0844) loss_contra: 0.0000 (0.0024) time: 2.5169 data: 0.0024 max mem: 31671 Epoch: [26] [4020/5278] eta: 0:54:37 lr: 1.848250481070051e-05 loss: 0.0368 (0.0468) loss_seg: 0.0403 (0.0503) loss_lansim: 0.0849 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5095 data: 0.0025 max mem: 31671 Epoch: [26] [4030/5278] eta: 0:54:11 lr: 1.848012408430883e-05 loss: 0.0371 (0.0469) loss_seg: 0.0406 (0.0503) loss_lansim: 0.0849 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5158 data: 0.0025 max mem: 31671 Epoch: [26] [4040/5278] eta: 0:53:45 lr: 1.8477743323838855e-05 loss: 0.0363 (0.0468) loss_seg: 0.0396 (0.0503) loss_lansim: 0.0856 (0.0844) loss_contra: 0.0001 (0.0024) time: 2.5133 data: 0.0024 max mem: 31671 Epoch: [26] [4050/5278] eta: 0:53:18 lr: 1.847536252928522e-05 loss: 0.0363 (0.0469) loss_seg: 0.0395 (0.0503) loss_lansim: 0.0859 (0.0845) loss_contra: 0.0001 (0.0024) time: 2.4978 data: 0.0024 max mem: 31671 Epoch: [26] [4060/5278] eta: 0:52:52 lr: 1.847298170064256e-05 loss: 0.0363 (0.0469) loss_seg: 0.0395 (0.0503) loss_lansim: 0.0859 (0.0845) loss_contra: 0.0001 (0.0024) time: 2.4960 data: 0.0024 max mem: 31671 Epoch: [26] [4070/5278] eta: 0:52:25 lr: 1.8470600837905512e-05 loss: 0.0368 (0.0469) loss_seg: 0.0403 (0.0503) loss_lansim: 0.0873 (0.0845) loss_contra: 0.0001 (0.0024) time: 2.4982 data: 0.0024 max mem: 31671 Epoch: [26] [4080/5278] eta: 0:51:59 lr: 1.846821994106869e-05 loss: 0.0371 (0.0469) loss_seg: 0.0406 (0.0503) loss_lansim: 0.0877 (0.0845) loss_contra: 0.0001 (0.0024) time: 2.5079 data: 0.0025 max mem: 31671 Epoch: [26] [4090/5278] eta: 0:51:33 lr: 1.846583901012673e-05 loss: 0.0368 (0.0469) loss_seg: 0.0400 (0.0503) loss_lansim: 0.0863 (0.0845) loss_contra: 0.0001 (0.0024) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [26] [4100/5278] eta: 0:51:07 lr: 1.8463458045074254e-05 loss: 0.0368 (0.0469) loss_seg: 0.0402 (0.0503) loss_lansim: 0.0863 (0.0845) loss_contra: 0.0001 (0.0024) time: 2.5203 data: 0.0025 max mem: 31671 Epoch: [26] [4110/5278] eta: 0:50:41 lr: 1.8461077045905898e-05 loss: 0.0389 (0.0469) loss_seg: 0.0424 (0.0503) loss_lansim: 0.0873 (0.0845) loss_contra: 0.0001 (0.0024) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [26] [4120/5278] eta: 0:50:15 lr: 1.8458696012616263e-05 loss: 0.0396 (0.0468) loss_seg: 0.0427 (0.0503) loss_lansim: 0.0860 (0.0845) loss_contra: 0.0000 (0.0024) time: 2.5401 data: 0.0025 max mem: 31671 Epoch: [26] [4130/5278] eta: 0:49:49 lr: 1.8456314945199983e-05 loss: 0.0389 (0.0468) loss_seg: 0.0424 (0.0503) loss_lansim: 0.0861 (0.0845) loss_contra: 0.0000 (0.0024) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [26] [4140/5278] eta: 0:49:23 lr: 1.8453933843651673e-05 loss: 0.0389 (0.0468) loss_seg: 0.0424 (0.0503) loss_lansim: 0.0860 (0.0845) loss_contra: 0.0000 (0.0024) time: 2.5509 data: 0.0025 max mem: 31671 Epoch: [26] [4150/5278] eta: 0:48:57 lr: 1.8451552707965946e-05 loss: 0.0402 (0.0469) loss_seg: 0.0426 (0.0503) loss_lansim: 0.0852 (0.0845) loss_contra: 0.0000 (0.0024) time: 2.5708 data: 0.0025 max mem: 31671 Epoch: [26] [4160/5278] eta: 0:48:31 lr: 1.8449171538137433e-05 loss: 0.0402 (0.0469) loss_seg: 0.0426 (0.0503) loss_lansim: 0.0857 (0.0845) loss_contra: 0.0000 (0.0024) time: 2.5815 data: 0.0026 max mem: 31671 Epoch: [26] [4170/5278] eta: 0:48:05 lr: 1.8446790334160732e-05 loss: 0.0396 (0.0469) loss_seg: 0.0425 (0.0503) loss_lansim: 0.0850 (0.0845) loss_contra: 0.0000 (0.0024) time: 2.5867 data: 0.0026 max mem: 31671 Epoch: [26] [4180/5278] eta: 0:47:38 lr: 1.844440909603046e-05 loss: 0.0395 (0.0469) loss_seg: 0.0424 (0.0503) loss_lansim: 0.0848 (0.0845) loss_contra: 0.0000 (0.0025) time: 2.5808 data: 0.0026 max mem: 31671 Epoch: [26] [4190/5278] eta: 0:47:12 lr: 1.844202782374123e-05 loss: 0.0402 (0.0469) loss_seg: 0.0425 (0.0503) loss_lansim: 0.0848 (0.0845) loss_contra: 0.0000 (0.0025) time: 2.5863 data: 0.0026 max mem: 31671 Epoch: [26] [4200/5278] eta: 0:46:46 lr: 1.8439646517287654e-05 loss: 0.0405 (0.0469) loss_seg: 0.0425 (0.0503) loss_lansim: 0.0840 (0.0845) loss_contra: 0.0000 (0.0025) time: 2.5810 data: 0.0026 max mem: 31671 Epoch: [26] [4210/5278] eta: 0:46:19 lr: 1.843726517666433e-05 loss: 0.0411 (0.0469) loss_seg: 0.0430 (0.0503) loss_lansim: 0.0836 (0.0845) loss_contra: 0.0000 (0.0025) time: 2.5679 data: 0.0026 max mem: 31671 Epoch: [26] [4220/5278] eta: 0:45:53 lr: 1.843488380186587e-05 loss: 0.0407 (0.0468) loss_seg: 0.0425 (0.0503) loss_lansim: 0.0848 (0.0846) loss_contra: 0.0000 (0.0025) time: 2.5648 data: 0.0026 max mem: 31671 Epoch: [26] [4230/5278] eta: 0:45:27 lr: 1.8432502392886873e-05 loss: 0.0411 (0.0468) loss_seg: 0.0434 (0.0503) loss_lansim: 0.0840 (0.0846) loss_contra: 0.0001 (0.0025) time: 2.5665 data: 0.0026 max mem: 31671 Epoch: [26] [4240/5278] eta: 0:45:01 lr: 1.8430120949721953e-05 loss: 0.0417 (0.0468) loss_seg: 0.0446 (0.0503) loss_lansim: 0.0844 (0.0846) loss_contra: 0.0001 (0.0025) time: 2.5537 data: 0.0026 max mem: 31671 Epoch: [26] [4250/5278] eta: 0:44:35 lr: 1.84277394723657e-05 loss: 0.0417 (0.0469) loss_seg: 0.0446 (0.0503) loss_lansim: 0.0846 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5612 data: 0.0026 max mem: 31671 Epoch: [26] [4260/5278] eta: 0:44:09 lr: 1.842535796081272e-05 loss: 0.0417 (0.0469) loss_seg: 0.0446 (0.0503) loss_lansim: 0.0846 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5539 data: 0.0026 max mem: 31671 Epoch: [26] [4270/5278] eta: 0:43:43 lr: 1.8422976415057603e-05 loss: 0.0417 (0.0469) loss_seg: 0.0446 (0.0503) loss_lansim: 0.0840 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5430 data: 0.0025 max mem: 31671 Epoch: [26] [4280/5278] eta: 0:43:17 lr: 1.8420594835094958e-05 loss: 0.0421 (0.0469) loss_seg: 0.0459 (0.0503) loss_lansim: 0.0846 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5547 data: 0.0026 max mem: 31671 Epoch: [26] [4290/5278] eta: 0:42:50 lr: 1.8418213220919364e-05 loss: 0.0421 (0.0469) loss_seg: 0.0455 (0.0503) loss_lansim: 0.0855 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [26] [4300/5278] eta: 0:42:24 lr: 1.841583157252542e-05 loss: 0.0414 (0.0469) loss_seg: 0.0440 (0.0503) loss_lansim: 0.0853 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5466 data: 0.0025 max mem: 31671 Epoch: [26] [4310/5278] eta: 0:41:58 lr: 1.8413449889907722e-05 loss: 0.0406 (0.0469) loss_seg: 0.0433 (0.0503) loss_lansim: 0.0858 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5608 data: 0.0026 max mem: 31671 Epoch: [26] [4320/5278] eta: 0:41:32 lr: 1.8411068173060862e-05 loss: 0.0414 (0.0469) loss_seg: 0.0440 (0.0503) loss_lansim: 0.0851 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5565 data: 0.0026 max mem: 31671 Epoch: [26] [4330/5278] eta: 0:41:06 lr: 1.840868642197941e-05 loss: 0.0406 (0.0469) loss_seg: 0.0429 (0.0503) loss_lansim: 0.0857 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5498 data: 0.0026 max mem: 31671 Epoch: [26] [4340/5278] eta: 0:40:40 lr: 1.8406304636657974e-05 loss: 0.0404 (0.0469) loss_seg: 0.0428 (0.0503) loss_lansim: 0.0860 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5497 data: 0.0026 max mem: 31671 Epoch: [26] [4350/5278] eta: 0:40:13 lr: 1.840392281709112e-05 loss: 0.0400 (0.0468) loss_seg: 0.0428 (0.0503) loss_lansim: 0.0857 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [26] [4360/5278] eta: 0:39:47 lr: 1.840154096327345e-05 loss: 0.0400 (0.0468) loss_seg: 0.0428 (0.0503) loss_lansim: 0.0857 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5416 data: 0.0026 max mem: 31671 Epoch: [26] [4370/5278] eta: 0:39:21 lr: 1.839915907519953e-05 loss: 0.0401 (0.0468) loss_seg: 0.0428 (0.0503) loss_lansim: 0.0857 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5539 data: 0.0026 max mem: 31671 Epoch: [26] [4380/5278] eta: 0:38:56 lr: 1.839677715286394e-05 loss: 0.0393 (0.0468) loss_seg: 0.0419 (0.0503) loss_lansim: 0.0853 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5598 data: 0.0026 max mem: 31671 Epoch: [26] [4390/5278] eta: 0:38:29 lr: 1.839439519626127e-05 loss: 0.0394 (0.0468) loss_seg: 0.0420 (0.0502) loss_lansim: 0.0846 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.5650 data: 0.0026 max mem: 31671 Epoch: [26] [4400/5278] eta: 0:38:03 lr: 1.8392013205386084e-05 loss: 0.0401 (0.0468) loss_seg: 0.0430 (0.0503) loss_lansim: 0.0856 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5715 data: 0.0026 max mem: 31671 Epoch: [26] [4410/5278] eta: 0:37:37 lr: 1.838963118023297e-05 loss: 0.0406 (0.0468) loss_seg: 0.0435 (0.0503) loss_lansim: 0.0857 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5569 data: 0.0026 max mem: 31671 Epoch: [26] [4420/5278] eta: 0:37:11 lr: 1.8387249120796486e-05 loss: 0.0406 (0.0468) loss_seg: 0.0436 (0.0503) loss_lansim: 0.0861 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5619 data: 0.0026 max mem: 31671 Epoch: [26] [4430/5278] eta: 0:36:45 lr: 1.8384867027071214e-05 loss: 0.0406 (0.0469) loss_seg: 0.0437 (0.0503) loss_lansim: 0.0857 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5721 data: 0.0026 max mem: 31671 Epoch: [26] [4440/5278] eta: 0:36:19 lr: 1.8382484899051723e-05 loss: 0.0401 (0.0468) loss_seg: 0.0436 (0.0502) loss_lansim: 0.0868 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5748 data: 0.0026 max mem: 31671 Epoch: [26] [4450/5278] eta: 0:35:53 lr: 1.8380102736732584e-05 loss: 0.0405 (0.0468) loss_seg: 0.0436 (0.0502) loss_lansim: 0.0874 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5785 data: 0.0025 max mem: 31671 Epoch: [26] [4460/5278] eta: 0:35:27 lr: 1.837772054010835e-05 loss: 0.0406 (0.0469) loss_seg: 0.0443 (0.0503) loss_lansim: 0.0868 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5715 data: 0.0025 max mem: 31671 Epoch: [26] [4470/5278] eta: 0:35:01 lr: 1.8375338309173596e-05 loss: 0.0406 (0.0469) loss_seg: 0.0443 (0.0503) loss_lansim: 0.0872 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5613 data: 0.0026 max mem: 31671 Epoch: [26] [4480/5278] eta: 0:34:35 lr: 1.8372956043922885e-05 loss: 0.0405 (0.0468) loss_seg: 0.0438 (0.0502) loss_lansim: 0.0874 (0.0848) loss_contra: 0.0001 (0.0024) time: 2.5553 data: 0.0026 max mem: 31671 Epoch: [26] [4490/5278] eta: 0:34:09 lr: 1.8370573744350785e-05 loss: 0.0402 (0.0468) loss_seg: 0.0421 (0.0502) loss_lansim: 0.0876 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5606 data: 0.0026 max mem: 31671 Epoch: [26] [4500/5278] eta: 0:33:42 lr: 1.836819141045184e-05 loss: 0.0400 (0.0468) loss_seg: 0.0413 (0.0502) loss_lansim: 0.0876 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5541 data: 0.0026 max mem: 31671 Epoch: [26] [4510/5278] eta: 0:33:16 lr: 1.836580904222062e-05 loss: 0.0394 (0.0468) loss_seg: 0.0401 (0.0502) loss_lansim: 0.0869 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5638 data: 0.0026 max mem: 31671 Epoch: [26] [4520/5278] eta: 0:32:50 lr: 1.8363426639651677e-05 loss: 0.0390 (0.0469) loss_seg: 0.0398 (0.0503) loss_lansim: 0.0868 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5672 data: 0.0025 max mem: 31671 Epoch: [26] [4530/5278] eta: 0:32:24 lr: 1.836104420273958e-05 loss: 0.0394 (0.0469) loss_seg: 0.0398 (0.0503) loss_lansim: 0.0869 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5615 data: 0.0025 max mem: 31671 Epoch: [26] [4540/5278] eta: 0:31:58 lr: 1.8358661731478857e-05 loss: 0.0406 (0.0469) loss_seg: 0.0432 (0.0503) loss_lansim: 0.0859 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5667 data: 0.0025 max mem: 31671 Epoch: [26] [4550/5278] eta: 0:31:32 lr: 1.8356279225864075e-05 loss: 0.0407 (0.0469) loss_seg: 0.0433 (0.0503) loss_lansim: 0.0861 (0.0848) loss_contra: 0.0001 (0.0024) time: 2.5612 data: 0.0025 max mem: 31671 Epoch: [26] [4560/5278] eta: 0:31:06 lr: 1.8353896685889784e-05 loss: 0.0400 (0.0469) loss_seg: 0.0413 (0.0503) loss_lansim: 0.0873 (0.0848) loss_contra: 0.0001 (0.0024) time: 2.5689 data: 0.0025 max mem: 31671 Epoch: [26] [4570/5278] eta: 0:30:40 lr: 1.835151411155054e-05 loss: 0.0403 (0.0469) loss_seg: 0.0413 (0.0503) loss_lansim: 0.0876 (0.0848) loss_contra: 0.0001 (0.0024) time: 2.5823 data: 0.0025 max mem: 31671 Epoch: [26] [4580/5278] eta: 0:30:14 lr: 1.834913150284087e-05 loss: 0.0407 (0.0469) loss_seg: 0.0432 (0.0503) loss_lansim: 0.0876 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5797 data: 0.0025 max mem: 31671 Epoch: [26] [4590/5278] eta: 0:29:48 lr: 1.8346748859755338e-05 loss: 0.0407 (0.0469) loss_seg: 0.0421 (0.0503) loss_lansim: 0.0882 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5779 data: 0.0025 max mem: 31671 Epoch: [26] [4600/5278] eta: 0:29:22 lr: 1.8344366182288474e-05 loss: 0.0390 (0.0468) loss_seg: 0.0417 (0.0502) loss_lansim: 0.0883 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5735 data: 0.0025 max mem: 31671 Epoch: [26] [4610/5278] eta: 0:28:56 lr: 1.8341983470434833e-05 loss: 0.0390 (0.0468) loss_seg: 0.0418 (0.0502) loss_lansim: 0.0885 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5776 data: 0.0025 max mem: 31671 Epoch: [26] [4620/5278] eta: 0:28:30 lr: 1.833960072418894e-05 loss: 0.0390 (0.0468) loss_seg: 0.0421 (0.0502) loss_lansim: 0.0897 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5767 data: 0.0026 max mem: 31671 Epoch: [26] [4630/5278] eta: 0:28:04 lr: 1.8337217943545343e-05 loss: 0.0395 (0.0469) loss_seg: 0.0425 (0.0503) loss_lansim: 0.0895 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5880 data: 0.0026 max mem: 31671 Epoch: [26] [4640/5278] eta: 0:27:38 lr: 1.833483512849858e-05 loss: 0.0383 (0.0469) loss_seg: 0.0417 (0.0503) loss_lansim: 0.0883 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5786 data: 0.0026 max mem: 31671 Epoch: [26] [4650/5278] eta: 0:27:12 lr: 1.833245227904318e-05 loss: 0.0381 (0.0469) loss_seg: 0.0414 (0.0503) loss_lansim: 0.0882 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5868 data: 0.0026 max mem: 31671 Epoch: [26] [4660/5278] eta: 0:26:46 lr: 1.833006939517369e-05 loss: 0.0383 (0.0469) loss_seg: 0.0418 (0.0503) loss_lansim: 0.0876 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5833 data: 0.0026 max mem: 31671 Epoch: [26] [4670/5278] eta: 0:26:20 lr: 1.8327686476884624e-05 loss: 0.0381 (0.0469) loss_seg: 0.0414 (0.0503) loss_lansim: 0.0876 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5722 data: 0.0027 max mem: 31671 Epoch: [26] [4680/5278] eta: 0:25:54 lr: 1.832530352417052e-05 loss: 0.0388 (0.0469) loss_seg: 0.0423 (0.0503) loss_lansim: 0.0876 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5810 data: 0.0026 max mem: 31671 Epoch: [26] [4690/5278] eta: 0:25:28 lr: 1.8322920537025907e-05 loss: 0.0396 (0.0469) loss_seg: 0.0433 (0.0503) loss_lansim: 0.0873 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5822 data: 0.0026 max mem: 31671 Epoch: [26] [4700/5278] eta: 0:25:02 lr: 1.8320537515445318e-05 loss: 0.0420 (0.0469) loss_seg: 0.0457 (0.0503) loss_lansim: 0.0864 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5787 data: 0.0026 max mem: 31671 Epoch: [26] [4710/5278] eta: 0:24:36 lr: 1.831815445942327e-05 loss: 0.0420 (0.0469) loss_seg: 0.0448 (0.0503) loss_lansim: 0.0860 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5709 data: 0.0026 max mem: 31671 Epoch: [26] [4720/5278] eta: 0:24:10 lr: 1.8315771368954286e-05 loss: 0.0424 (0.0469) loss_seg: 0.0462 (0.0503) loss_lansim: 0.0858 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5619 data: 0.0026 max mem: 31671 Epoch: [26] [4730/5278] eta: 0:23:44 lr: 1.8313388244032896e-05 loss: 0.0425 (0.0469) loss_seg: 0.0462 (0.0503) loss_lansim: 0.0858 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5525 data: 0.0026 max mem: 31671 Epoch: [26] [4740/5278] eta: 0:23:18 lr: 1.8311005084653616e-05 loss: 0.0438 (0.0469) loss_seg: 0.0466 (0.0503) loss_lansim: 0.0864 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5590 data: 0.0026 max mem: 31671 Epoch: [26] [4750/5278] eta: 0:22:52 lr: 1.8308621890810958e-05 loss: 0.0441 (0.0469) loss_seg: 0.0482 (0.0503) loss_lansim: 0.0864 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5576 data: 0.0026 max mem: 31671 Epoch: [26] [4760/5278] eta: 0:22:26 lr: 1.830623866249945e-05 loss: 0.0424 (0.0469) loss_seg: 0.0462 (0.0503) loss_lansim: 0.0865 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5621 data: 0.0026 max mem: 31671 Epoch: [26] [4770/5278] eta: 0:22:00 lr: 1.83038553997136e-05 loss: 0.0440 (0.0469) loss_seg: 0.0466 (0.0503) loss_lansim: 0.0858 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5579 data: 0.0026 max mem: 31671 Epoch: [26] [4780/5278] eta: 0:21:34 lr: 1.830147210244793e-05 loss: 0.0440 (0.0470) loss_seg: 0.0466 (0.0504) loss_lansim: 0.0860 (0.0849) loss_contra: 0.0000 (0.0023) time: 2.5508 data: 0.0026 max mem: 31671 Epoch: [26] [4790/5278] eta: 0:21:08 lr: 1.829908877069694e-05 loss: 0.0443 (0.0470) loss_seg: 0.0482 (0.0504) loss_lansim: 0.0860 (0.0850) loss_contra: 0.0000 (0.0023) time: 2.5506 data: 0.0026 max mem: 31671 Epoch: [26] [4800/5278] eta: 0:20:41 lr: 1.829670540445515e-05 loss: 0.0441 (0.0470) loss_seg: 0.0463 (0.0504) loss_lansim: 0.0860 (0.0850) loss_contra: 0.0000 (0.0023) time: 2.5498 data: 0.0026 max mem: 31671 Epoch: [26] [4810/5278] eta: 0:20:15 lr: 1.8294322003717064e-05 loss: 0.0445 (0.0470) loss_seg: 0.0487 (0.0504) loss_lansim: 0.0863 (0.0850) loss_contra: 0.0000 (0.0023) time: 2.5471 data: 0.0026 max mem: 31671 Epoch: [26] [4820/5278] eta: 0:19:49 lr: 1.829193856847719e-05 loss: 0.0445 (0.0470) loss_seg: 0.0487 (0.0504) loss_lansim: 0.0861 (0.0850) loss_contra: 0.0000 (0.0023) time: 2.5456 data: 0.0026 max mem: 31671 Epoch: [26] [4830/5278] eta: 0:19:23 lr: 1.8289555098730034e-05 loss: 0.0434 (0.0470) loss_seg: 0.0463 (0.0504) loss_lansim: 0.0871 (0.0850) loss_contra: 0.0000 (0.0023) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [26] [4840/5278] eta: 0:18:57 lr: 1.8287171594470098e-05 loss: 0.0424 (0.0470) loss_seg: 0.0460 (0.0504) loss_lansim: 0.0861 (0.0850) loss_contra: 0.0000 (0.0024) time: 2.5445 data: 0.0025 max mem: 31671 Epoch: [26] [4850/5278] eta: 0:18:31 lr: 1.8284788055691886e-05 loss: 0.0423 (0.0470) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0865 (0.0850) loss_contra: 0.0000 (0.0024) time: 2.5397 data: 0.0025 max mem: 31671 Epoch: [26] [4860/5278] eta: 0:18:05 lr: 1.82824044823899e-05 loss: 0.0435 (0.0470) loss_seg: 0.0464 (0.0504) loss_lansim: 0.0870 (0.0850) loss_contra: 0.0000 (0.0024) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [26] [4870/5278] eta: 0:17:39 lr: 1.8280020874558637e-05 loss: 0.0424 (0.0470) loss_seg: 0.0460 (0.0504) loss_lansim: 0.0865 (0.0850) loss_contra: 0.0000 (0.0024) time: 2.5499 data: 0.0025 max mem: 31671 Epoch: [26] [4880/5278] eta: 0:17:13 lr: 1.827763723219259e-05 loss: 0.0423 (0.0470) loss_seg: 0.0453 (0.0504) loss_lansim: 0.0863 (0.0850) loss_contra: 0.0000 (0.0024) time: 2.5481 data: 0.0025 max mem: 31671 Epoch: [26] [4890/5278] eta: 0:16:47 lr: 1.8275253555286254e-05 loss: 0.0413 (0.0469) loss_seg: 0.0440 (0.0504) loss_lansim: 0.0856 (0.0850) loss_contra: 0.0001 (0.0024) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [26] [4900/5278] eta: 0:16:21 lr: 1.827286984383413e-05 loss: 0.0409 (0.0469) loss_seg: 0.0439 (0.0504) loss_lansim: 0.0852 (0.0850) loss_contra: 0.0001 (0.0024) time: 2.5681 data: 0.0025 max mem: 31671 Epoch: [26] [4910/5278] eta: 0:15:55 lr: 1.8270486097830712e-05 loss: 0.0382 (0.0469) loss_seg: 0.0419 (0.0504) loss_lansim: 0.0850 (0.0850) loss_contra: 0.0001 (0.0024) time: 2.5683 data: 0.0025 max mem: 31671 Epoch: [26] [4920/5278] eta: 0:15:29 lr: 1.8268102317270476e-05 loss: 0.0377 (0.0469) loss_seg: 0.0406 (0.0503) loss_lansim: 0.0852 (0.0850) loss_contra: 0.0001 (0.0024) time: 2.5692 data: 0.0025 max mem: 31671 Epoch: [26] [4930/5278] eta: 0:15:03 lr: 1.8265718502147917e-05 loss: 0.0378 (0.0469) loss_seg: 0.0413 (0.0503) loss_lansim: 0.0863 (0.0850) loss_contra: 0.0001 (0.0024) time: 2.5736 data: 0.0025 max mem: 31671 Epoch: [26] [4940/5278] eta: 0:14:37 lr: 1.8263334652457527e-05 loss: 0.0378 (0.0469) loss_seg: 0.0406 (0.0503) loss_lansim: 0.0868 (0.0850) loss_contra: 0.0001 (0.0024) time: 2.5758 data: 0.0025 max mem: 31671 Epoch: [26] [4950/5278] eta: 0:14:11 lr: 1.8260950768193794e-05 loss: 0.0372 (0.0469) loss_seg: 0.0404 (0.0503) loss_lansim: 0.0876 (0.0851) loss_contra: 0.0001 (0.0024) time: 2.5815 data: 0.0025 max mem: 31671 Epoch: [26] [4960/5278] eta: 0:13:45 lr: 1.825856684935119e-05 loss: 0.0378 (0.0469) loss_seg: 0.0404 (0.0503) loss_lansim: 0.0868 (0.0851) loss_contra: 0.0001 (0.0024) time: 2.5790 data: 0.0025 max mem: 31671 Epoch: [26] [4970/5278] eta: 0:13:19 lr: 1.82561828959242e-05 loss: 0.0378 (0.0469) loss_seg: 0.0414 (0.0503) loss_lansim: 0.0868 (0.0851) loss_contra: 0.0001 (0.0024) time: 2.5739 data: 0.0025 max mem: 31671 Epoch: [26] [4980/5278] eta: 0:12:53 lr: 1.825379890790731e-05 loss: 0.0378 (0.0469) loss_seg: 0.0413 (0.0503) loss_lansim: 0.0887 (0.0851) loss_contra: 0.0000 (0.0024) time: 2.5760 data: 0.0025 max mem: 31671 Epoch: [26] [4990/5278] eta: 0:12:27 lr: 1.8251414885295e-05 loss: 0.0383 (0.0469) loss_seg: 0.0415 (0.0504) loss_lansim: 0.0890 (0.0851) loss_contra: 0.0000 (0.0024) time: 2.5696 data: 0.0025 max mem: 31671 Epoch: [26] [5000/5278] eta: 0:12:01 lr: 1.8249030828081733e-05 loss: 0.0395 (0.0469) loss_seg: 0.0417 (0.0504) loss_lansim: 0.0893 (0.0851) loss_contra: 0.0001 (0.0024) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [26] [5010/5278] eta: 0:11:35 lr: 1.8246646736261995e-05 loss: 0.0404 (0.0469) loss_seg: 0.0420 (0.0504) loss_lansim: 0.0903 (0.0851) loss_contra: 0.0001 (0.0024) time: 2.5631 data: 0.0025 max mem: 31671 Epoch: [26] [5020/5278] eta: 0:11:09 lr: 1.824426260983026e-05 loss: 0.0430 (0.0469) loss_seg: 0.0451 (0.0504) loss_lansim: 0.0903 (0.0851) loss_contra: 0.0001 (0.0024) time: 2.5629 data: 0.0025 max mem: 31671 Epoch: [26] [5030/5278] eta: 0:10:43 lr: 1.8241878448781002e-05 loss: 0.0430 (0.0469) loss_seg: 0.0448 (0.0503) loss_lansim: 0.0893 (0.0851) loss_contra: 0.0000 (0.0024) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [26] [5040/5278] eta: 0:10:17 lr: 1.823949425310868e-05 loss: 0.0408 (0.0469) loss_seg: 0.0434 (0.0503) loss_lansim: 0.0873 (0.0851) loss_contra: 0.0001 (0.0024) time: 2.5532 data: 0.0025 max mem: 31671 Epoch: [26] [5050/5278] eta: 0:09:51 lr: 1.8237110022807767e-05 loss: 0.0408 (0.0469) loss_seg: 0.0434 (0.0503) loss_lansim: 0.0866 (0.0851) loss_contra: 0.0000 (0.0024) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [26] [5060/5278] eta: 0:09:25 lr: 1.8234725757872733e-05 loss: 0.0408 (0.0469) loss_seg: 0.0435 (0.0503) loss_lansim: 0.0873 (0.0851) loss_contra: 0.0000 (0.0024) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [26] [5070/5278] eta: 0:08:59 lr: 1.8232341458298046e-05 loss: 0.0408 (0.0469) loss_seg: 0.0434 (0.0503) loss_lansim: 0.0883 (0.0851) loss_contra: 0.0000 (0.0024) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [26] [5080/5278] eta: 0:08:33 lr: 1.8229957124078162e-05 loss: 0.0408 (0.0470) loss_seg: 0.0434 (0.0504) loss_lansim: 0.0872 (0.0852) loss_contra: 0.0000 (0.0024) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [26] [5090/5278] eta: 0:08:08 lr: 1.8227572755207544e-05 loss: 0.0397 (0.0470) loss_seg: 0.0418 (0.0504) loss_lansim: 0.0866 (0.0851) loss_contra: 0.0000 (0.0024) time: 2.5425 data: 0.0026 max mem: 31671 Epoch: [26] [5100/5278] eta: 0:07:42 lr: 1.8225188351680653e-05 loss: 0.0397 (0.0470) loss_seg: 0.0412 (0.0504) loss_lansim: 0.0866 (0.0852) loss_contra: 0.0000 (0.0024) time: 2.5418 data: 0.0026 max mem: 31671 Epoch: [26] [5110/5278] eta: 0:07:16 lr: 1.8222803913491948e-05 loss: 0.0382 (0.0469) loss_seg: 0.0409 (0.0504) loss_lansim: 0.0859 (0.0852) loss_contra: 0.0000 (0.0024) time: 2.5379 data: 0.0026 max mem: 31671 Epoch: [26] [5120/5278] eta: 0:06:50 lr: 1.822041944063589e-05 loss: 0.0380 (0.0469) loss_seg: 0.0408 (0.0503) loss_lansim: 0.0861 (0.0852) loss_contra: 0.0000 (0.0024) time: 2.5478 data: 0.0026 max mem: 31671 Epoch: [26] [5130/5278] eta: 0:06:24 lr: 1.8218034933106925e-05 loss: 0.0394 (0.0469) loss_seg: 0.0409 (0.0503) loss_lansim: 0.0869 (0.0852) loss_contra: 0.0000 (0.0023) time: 2.5487 data: 0.0026 max mem: 31671 Epoch: [26] [5140/5278] eta: 0:05:58 lr: 1.821565039089951e-05 loss: 0.0405 (0.0469) loss_seg: 0.0411 (0.0503) loss_lansim: 0.0869 (0.0852) loss_contra: 0.0000 (0.0025) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [26] [5150/5278] eta: 0:05:32 lr: 1.82132658140081e-05 loss: 0.0414 (0.0469) loss_seg: 0.0414 (0.0503) loss_lansim: 0.0868 (0.0852) loss_contra: 0.0000 (0.0025) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [26] [5160/5278] eta: 0:05:06 lr: 1.8210881202427142e-05 loss: 0.0414 (0.0469) loss_seg: 0.0412 (0.0503) loss_lansim: 0.0854 (0.0852) loss_contra: 0.0000 (0.0025) time: 2.5531 data: 0.0025 max mem: 31671 Epoch: [26] [5170/5278] eta: 0:04:40 lr: 1.8208496556151082e-05 loss: 0.0418 (0.0469) loss_seg: 0.0430 (0.0503) loss_lansim: 0.0861 (0.0852) loss_contra: 0.0000 (0.0025) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [26] [5180/5278] eta: 0:04:14 lr: 1.8206111875174365e-05 loss: 0.0424 (0.0469) loss_seg: 0.0438 (0.0504) loss_lansim: 0.0861 (0.0852) loss_contra: 0.0000 (0.0025) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [26] [5190/5278] eta: 0:03:48 lr: 1.820372715949144e-05 loss: 0.0431 (0.0470) loss_seg: 0.0453 (0.0504) loss_lansim: 0.0868 (0.0852) loss_contra: 0.0001 (0.0026) time: 2.5576 data: 0.0025 max mem: 31671 Epoch: [26] [5200/5278] eta: 0:03:22 lr: 1.8201342409096754e-05 loss: 0.0424 (0.0469) loss_seg: 0.0444 (0.0504) loss_lansim: 0.0862 (0.0852) loss_contra: 0.0001 (0.0026) time: 2.5681 data: 0.0025 max mem: 31671 Epoch: [26] [5210/5278] eta: 0:02:56 lr: 1.819895762398474e-05 loss: 0.0433 (0.0469) loss_seg: 0.0463 (0.0504) loss_lansim: 0.0857 (0.0852) loss_contra: 0.0001 (0.0026) time: 2.5681 data: 0.0025 max mem: 31671 Epoch: [26] [5220/5278] eta: 0:02:30 lr: 1.8196572804149835e-05 loss: 0.0439 (0.0470) loss_seg: 0.0477 (0.0504) loss_lansim: 0.0851 (0.0852) loss_contra: 0.0001 (0.0026) time: 2.5691 data: 0.0025 max mem: 31671 Epoch: [26] [5230/5278] eta: 0:02:04 lr: 1.819418794958649e-05 loss: 0.0435 (0.0470) loss_seg: 0.0475 (0.0504) loss_lansim: 0.0832 (0.0852) loss_contra: 0.0001 (0.0026) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [26] [5240/5278] eta: 0:01:38 lr: 1.8191803060289134e-05 loss: 0.0440 (0.0470) loss_seg: 0.0482 (0.0504) loss_lansim: 0.0836 (0.0852) loss_contra: 0.0001 (0.0026) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [26] [5250/5278] eta: 0:01:12 lr: 1.8189418136252197e-05 loss: 0.0439 (0.0470) loss_seg: 0.0478 (0.0504) loss_lansim: 0.0826 (0.0852) loss_contra: 0.0001 (0.0026) time: 2.5581 data: 0.0025 max mem: 31671 Epoch: [26] [5260/5278] eta: 0:00:46 lr: 1.8187033177470117e-05 loss: 0.0435 (0.0470) loss_seg: 0.0478 (0.0504) loss_lansim: 0.0836 (0.0852) loss_contra: 0.0002 (0.0026) time: 2.5636 data: 0.0025 max mem: 31671 Epoch: [26] [5270/5278] eta: 0:00:20 lr: 1.818464818393732e-05 loss: 0.0433 (0.0470) loss_seg: 0.0477 (0.0504) loss_lansim: 0.0832 (0.0852) loss_contra: 0.0002 (0.0026) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [26] Total time: 3:48:15 Test: [ 0/2573] eta: 1:38:54 time: 2.3066 data: 2.0013 max mem: 31671 Test: [ 100/2573] eta: 0:06:47 time: 0.1436 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:12 time: 0.1487 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:46 time: 0.1438 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:31 time: 0.1517 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:12 time: 0.1456 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:56 time: 0.1475 data: 0.0016 max mem: 31671 Test: [ 700/2573] eta: 0:04:42 time: 0.1517 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:26 time: 0.1484 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:11 time: 0.1485 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:55 time: 0.1471 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:40 time: 0.1463 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:25 time: 0.1492 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:10 time: 0.1484 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:54 time: 0.1441 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:39 time: 0.1472 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:24 time: 0.1476 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:09 time: 0.1488 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1450 data: 0.0017 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1430 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1446 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:10 time: 0.1478 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:55 time: 0.1421 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1493 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1458 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1478 data: 0.0015 max mem: 31671 Test: Total time: 0:06:20 Final results: precision@0.5 = 69.91 precision@0.6 = 65.32 precision@0.7 = 59.01 precision@0.8 = 47.10 precision@0.9 = 23.00 overall IoU = 59.62 mean IoU = 62.11 Average object IoU 0.6211088632309091 Overall IoU 59.62157989093801 Better epoch: 26 The best_performance is 59.62157989093801 Epoch: [27] [ 0/5278] eta: 6:20:19 lr: 1.8182740164086834e-05 loss: 0.0381 (0.0381) loss_seg: 0.0418 (0.0418) loss_lansim: 0.0877 (0.0877) loss_contra: 0.0000 (0.0000) time: 4.3235 data: 1.3252 max mem: 31671 Epoch: [27] [ 10/5278] eta: 3:57:23 lr: 1.8180355107988718e-05 loss: 0.0443 (0.0490) loss_seg: 0.0488 (0.0522) loss_lansim: 0.0877 (0.0884) loss_contra: 0.0000 (0.0001) time: 2.7037 data: 0.1229 max mem: 31671 Epoch: [27] [ 20/5278] eta: 3:50:19 lr: 1.8177970017124295e-05 loss: 0.0422 (0.0443) loss_seg: 0.0464 (0.0477) loss_lansim: 0.0842 (0.0854) loss_contra: 0.0000 (0.0004) time: 2.6283 data: 0.0653 max mem: 31671 Epoch: [27] [ 30/5278] eta: 3:47:34 lr: 1.8175584891487976e-05 loss: 0.0422 (0.0480) loss_seg: 0.0464 (0.0511) loss_lansim: 0.0835 (0.0848) loss_contra: 0.0000 (0.0076) time: 2.6018 data: 0.0451 max mem: 31671 Epoch: [27] [ 40/5278] eta: 3:47:42 lr: 1.817319973107419e-05 loss: 0.0420 (0.0464) loss_seg: 0.0461 (0.0497) loss_lansim: 0.0835 (0.0846) loss_contra: 0.0000 (0.0058) time: 2.6083 data: 0.0347 max mem: 31671 Epoch: [27] [ 50/5278] eta: 3:46:47 lr: 1.8170814535877356e-05 loss: 0.0422 (0.0463) loss_seg: 0.0464 (0.0498) loss_lansim: 0.0828 (0.0848) loss_contra: 0.0001 (0.0049) time: 2.6028 data: 0.0284 max mem: 31671 Epoch: [27] [ 60/5278] eta: 3:46:32 lr: 1.81684293058919e-05 loss: 0.0420 (0.0457) loss_seg: 0.0461 (0.0492) loss_lansim: 0.0828 (0.0850) loss_contra: 0.0001 (0.0042) time: 2.6049 data: 0.0242 max mem: 31671 Epoch: [27] [ 70/5278] eta: 3:45:17 lr: 1.8166044041112234e-05 loss: 0.0418 (0.0447) loss_seg: 0.0451 (0.0479) loss_lansim: 0.0833 (0.0846) loss_contra: 0.0001 (0.0037) time: 2.5956 data: 0.0211 max mem: 31671 Epoch: [27] [ 80/5278] eta: 3:44:44 lr: 1.816365874153277e-05 loss: 0.0419 (0.0448) loss_seg: 0.0460 (0.0482) loss_lansim: 0.0833 (0.0846) loss_contra: 0.0001 (0.0045) time: 2.5942 data: 0.0188 max mem: 31671 Epoch: [27] [ 90/5278] eta: 3:43:57 lr: 1.8161273407147932e-05 loss: 0.0418 (0.0447) loss_seg: 0.0451 (0.0482) loss_lansim: 0.0833 (0.0845) loss_contra: 0.0001 (0.0045) time: 2.5901 data: 0.0170 max mem: 31671 Epoch: [27] [ 100/5278] eta: 3:43:31 lr: 1.8158888037952135e-05 loss: 0.0418 (0.0447) loss_seg: 0.0433 (0.0481) loss_lansim: 0.0824 (0.0844) loss_contra: 0.0001 (0.0049) time: 2.5727 data: 0.0025 max mem: 31671 Epoch: [27] [ 110/5278] eta: 3:42:29 lr: 1.8156502633939773e-05 loss: 0.0411 (0.0452) loss_seg: 0.0426 (0.0485) loss_lansim: 0.0819 (0.0841) loss_contra: 0.0001 (0.0045) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [27] [ 120/5278] eta: 3:41:50 lr: 1.815411719510527e-05 loss: 0.0418 (0.0455) loss_seg: 0.0433 (0.0489) loss_lansim: 0.0829 (0.0848) loss_contra: 0.0001 (0.0043) time: 2.5706 data: 0.0025 max mem: 31671 Epoch: [27] [ 130/5278] eta: 3:41:24 lr: 1.8151731721443026e-05 loss: 0.0411 (0.0464) loss_seg: 0.0433 (0.0498) loss_lansim: 0.0833 (0.0848) loss_contra: 0.0001 (0.0040) time: 2.5738 data: 0.0026 max mem: 31671 Epoch: [27] [ 140/5278] eta: 3:41:18 lr: 1.8149346212947452e-05 loss: 0.0411 (0.0464) loss_seg: 0.0426 (0.0499) loss_lansim: 0.0840 (0.0849) loss_contra: 0.0001 (0.0037) time: 2.5745 data: 0.0026 max mem: 31671 Epoch: [27] [ 150/5278] eta: 3:40:50 lr: 1.8146960669612953e-05 loss: 0.0411 (0.0467) loss_seg: 0.0426 (0.0502) loss_lansim: 0.0843 (0.0853) loss_contra: 0.0001 (0.0036) time: 2.5744 data: 0.0026 max mem: 31671 Epoch: [27] [ 160/5278] eta: 3:39:51 lr: 1.8144575091433924e-05 loss: 0.0411 (0.0462) loss_seg: 0.0426 (0.0496) loss_lansim: 0.0852 (0.0858) loss_contra: 0.0001 (0.0034) time: 2.5608 data: 0.0025 max mem: 31671 Epoch: [27] [ 170/5278] eta: 3:39:15 lr: 1.8142189478404768e-05 loss: 0.0425 (0.0460) loss_seg: 0.0448 (0.0494) loss_lansim: 0.0854 (0.0857) loss_contra: 0.0001 (0.0032) time: 2.5610 data: 0.0026 max mem: 31671 Epoch: [27] [ 180/5278] eta: 3:38:31 lr: 1.8139803830519888e-05 loss: 0.0411 (0.0460) loss_seg: 0.0438 (0.0495) loss_lansim: 0.0857 (0.0858) loss_contra: 0.0001 (0.0033) time: 2.5539 data: 0.0026 max mem: 31671 Epoch: [27] [ 190/5278] eta: 3:38:04 lr: 1.8137418147773686e-05 loss: 0.0407 (0.0454) loss_seg: 0.0434 (0.0488) loss_lansim: 0.0857 (0.0859) loss_contra: 0.0001 (0.0032) time: 2.5548 data: 0.0026 max mem: 31671 Epoch: [27] [ 200/5278] eta: 3:37:37 lr: 1.813503243016054e-05 loss: 0.0407 (0.0459) loss_seg: 0.0438 (0.0495) loss_lansim: 0.0854 (0.0856) loss_contra: 0.0001 (0.0031) time: 2.5527 data: 0.0026 max mem: 31671 Epoch: [27] [ 210/5278] eta: 3:37:19 lr: 1.8132646677674858e-05 loss: 0.0381 (0.0452) loss_seg: 0.0414 (0.0487) loss_lansim: 0.0852 (0.0855) loss_contra: 0.0000 (0.0029) time: 2.5615 data: 0.0026 max mem: 31671 Epoch: [27] [ 220/5278] eta: 3:37:08 lr: 1.813026089031103e-05 loss: 0.0377 (0.0455) loss_seg: 0.0400 (0.0490) loss_lansim: 0.0854 (0.0857) loss_contra: 0.0001 (0.0031) time: 2.5700 data: 0.0026 max mem: 31671 Epoch: [27] [ 230/5278] eta: 3:36:44 lr: 1.8127875068063446e-05 loss: 0.0385 (0.0457) loss_seg: 0.0419 (0.0492) loss_lansim: 0.0854 (0.0856) loss_contra: 0.0001 (0.0030) time: 2.5704 data: 0.0026 max mem: 31671 Epoch: [27] [ 240/5278] eta: 3:36:24 lr: 1.8125489210926492e-05 loss: 0.0395 (0.0461) loss_seg: 0.0434 (0.0496) loss_lansim: 0.0852 (0.0855) loss_contra: 0.0001 (0.0031) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [27] [ 250/5278] eta: 3:36:08 lr: 1.8123103318894553e-05 loss: 0.0385 (0.0459) loss_seg: 0.0424 (0.0495) loss_lansim: 0.0852 (0.0853) loss_contra: 0.0001 (0.0030) time: 2.5720 data: 0.0026 max mem: 31671 Epoch: [27] [ 260/5278] eta: 3:35:27 lr: 1.812071739196202e-05 loss: 0.0396 (0.0459) loss_seg: 0.0434 (0.0495) loss_lansim: 0.0845 (0.0854) loss_contra: 0.0001 (0.0029) time: 2.5741 data: 0.0026 max mem: 31671 Epoch: [27] [ 270/5278] eta: 3:34:53 lr: 1.8118331430123277e-05 loss: 0.0395 (0.0459) loss_seg: 0.0434 (0.0494) loss_lansim: 0.0849 (0.0856) loss_contra: 0.0001 (0.0029) time: 2.5731 data: 0.0026 max mem: 31671 Epoch: [27] [ 280/5278] eta: 3:34:29 lr: 1.81159454333727e-05 loss: 0.0395 (0.0458) loss_seg: 0.0434 (0.0492) loss_lansim: 0.0854 (0.0860) loss_contra: 0.0001 (0.0028) time: 2.5805 data: 0.0026 max mem: 31671 Epoch: [27] [ 290/5278] eta: 3:34:18 lr: 1.8113559401704667e-05 loss: 0.0396 (0.0455) loss_seg: 0.0434 (0.0489) loss_lansim: 0.0856 (0.0861) loss_contra: 0.0001 (0.0027) time: 2.5898 data: 0.0026 max mem: 31671 Epoch: [27] [ 300/5278] eta: 3:33:49 lr: 1.811117333511356e-05 loss: 0.0394 (0.0451) loss_seg: 0.0402 (0.0485) loss_lansim: 0.0868 (0.0861) loss_contra: 0.0001 (0.0026) time: 2.5888 data: 0.0026 max mem: 31671 Epoch: [27] [ 310/5278] eta: 3:33:10 lr: 1.8108787233593767e-05 loss: 0.0396 (0.0447) loss_seg: 0.0411 (0.0481) loss_lansim: 0.0883 (0.0862) loss_contra: 0.0001 (0.0027) time: 2.5782 data: 0.0026 max mem: 31671 Epoch: [27] [ 320/5278] eta: 3:32:40 lr: 1.8106401097139642e-05 loss: 0.0399 (0.0448) loss_seg: 0.0432 (0.0482) loss_lansim: 0.0883 (0.0863) loss_contra: 0.0001 (0.0026) time: 2.5694 data: 0.0026 max mem: 31671 Epoch: [27] [ 330/5278] eta: 3:32:19 lr: 1.8104014925745567e-05 loss: 0.0396 (0.0446) loss_seg: 0.0411 (0.0480) loss_lansim: 0.0886 (0.0865) loss_contra: 0.0001 (0.0025) time: 2.5716 data: 0.0026 max mem: 31671 Epoch: [27] [ 340/5278] eta: 3:31:50 lr: 1.810162871940592e-05 loss: 0.0389 (0.0446) loss_seg: 0.0398 (0.0480) loss_lansim: 0.0883 (0.0864) loss_contra: 0.0001 (0.0025) time: 2.5660 data: 0.0025 max mem: 31671 Epoch: [27] [ 350/5278] eta: 3:31:23 lr: 1.8099242478115068e-05 loss: 0.0390 (0.0446) loss_seg: 0.0400 (0.0479) loss_lansim: 0.0888 (0.0864) loss_contra: 0.0000 (0.0024) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [27] [ 360/5278] eta: 3:30:55 lr: 1.809685620186737e-05 loss: 0.0389 (0.0444) loss_seg: 0.0398 (0.0478) loss_lansim: 0.0884 (0.0864) loss_contra: 0.0000 (0.0023) time: 2.5657 data: 0.0025 max mem: 31671 Epoch: [27] [ 370/5278] eta: 3:30:30 lr: 1.8094469890657197e-05 loss: 0.0376 (0.0448) loss_seg: 0.0398 (0.0482) loss_lansim: 0.0874 (0.0864) loss_contra: 0.0000 (0.0023) time: 2.5704 data: 0.0025 max mem: 31671 Epoch: [27] [ 380/5278] eta: 3:29:59 lr: 1.8092083544478917e-05 loss: 0.0376 (0.0448) loss_seg: 0.0398 (0.0482) loss_lansim: 0.0865 (0.0865) loss_contra: 0.0000 (0.0022) time: 2.5650 data: 0.0025 max mem: 31671 Epoch: [27] [ 390/5278] eta: 3:29:37 lr: 1.8089697163326888e-05 loss: 0.0376 (0.0448) loss_seg: 0.0396 (0.0481) loss_lansim: 0.0859 (0.0865) loss_contra: 0.0000 (0.0022) time: 2.5592 data: 0.0025 max mem: 31671 Epoch: [27] [ 400/5278] eta: 3:29:18 lr: 1.808731074719548e-05 loss: 0.0390 (0.0448) loss_seg: 0.0400 (0.0481) loss_lansim: 0.0864 (0.0864) loss_contra: 0.0000 (0.0022) time: 2.5668 data: 0.0025 max mem: 31671 Epoch: [27] [ 410/5278] eta: 3:28:56 lr: 1.8084924296079038e-05 loss: 0.0394 (0.0447) loss_seg: 0.0423 (0.0480) loss_lansim: 0.0864 (0.0863) loss_contra: 0.0000 (0.0021) time: 2.5775 data: 0.0025 max mem: 31671 Epoch: [27] [ 420/5278] eta: 3:28:28 lr: 1.8082537809971928e-05 loss: 0.0376 (0.0449) loss_seg: 0.0391 (0.0483) loss_lansim: 0.0859 (0.0863) loss_contra: 0.0000 (0.0021) time: 2.5780 data: 0.0025 max mem: 31671 Epoch: [27] [ 430/5278] eta: 3:28:02 lr: 1.80801512888685e-05 loss: 0.0374 (0.0449) loss_seg: 0.0406 (0.0483) loss_lansim: 0.0863 (0.0863) loss_contra: 0.0000 (0.0021) time: 2.5748 data: 0.0025 max mem: 31671 Epoch: [27] [ 440/5278] eta: 3:27:42 lr: 1.8077764732763124e-05 loss: 0.0376 (0.0448) loss_seg: 0.0410 (0.0482) loss_lansim: 0.0853 (0.0863) loss_contra: 0.0000 (0.0020) time: 2.5825 data: 0.0025 max mem: 31671 Epoch: [27] [ 450/5278] eta: 3:27:14 lr: 1.8075378141650136e-05 loss: 0.0371 (0.0446) loss_seg: 0.0401 (0.0480) loss_lansim: 0.0867 (0.0863) loss_contra: 0.0000 (0.0020) time: 2.5814 data: 0.0025 max mem: 31671 Epoch: [27] [ 460/5278] eta: 3:26:45 lr: 1.8072991515523886e-05 loss: 0.0371 (0.0449) loss_seg: 0.0401 (0.0482) loss_lansim: 0.0870 (0.0864) loss_contra: 0.0000 (0.0020) time: 2.5805 data: 0.0025 max mem: 31671 Epoch: [27] [ 470/5278] eta: 3:26:11 lr: 1.807060485437873e-05 loss: 0.0371 (0.0447) loss_seg: 0.0401 (0.0480) loss_lansim: 0.0870 (0.0864) loss_contra: 0.0000 (0.0019) time: 2.5717 data: 0.0025 max mem: 31671 Epoch: [27] [ 480/5278] eta: 3:25:44 lr: 1.8068218158209017e-05 loss: 0.0371 (0.0446) loss_seg: 0.0403 (0.0480) loss_lansim: 0.0870 (0.0865) loss_contra: 0.0000 (0.0019) time: 2.5751 data: 0.0025 max mem: 31671 Epoch: [27] [ 490/5278] eta: 3:25:13 lr: 1.8065831427009082e-05 loss: 0.0371 (0.0445) loss_seg: 0.0403 (0.0479) loss_lansim: 0.0872 (0.0866) loss_contra: 0.0000 (0.0022) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [27] [ 500/5278] eta: 3:24:50 lr: 1.806344466077328e-05 loss: 0.0366 (0.0447) loss_seg: 0.0400 (0.0480) loss_lansim: 0.0875 (0.0866) loss_contra: 0.0000 (0.0022) time: 2.5627 data: 0.0025 max mem: 31671 Epoch: [27] [ 510/5278] eta: 3:24:16 lr: 1.8061057859495944e-05 loss: 0.0371 (0.0447) loss_seg: 0.0401 (0.0481) loss_lansim: 0.0877 (0.0867) loss_contra: 0.0000 (0.0022) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [27] [ 520/5278] eta: 3:23:49 lr: 1.805867102317142e-05 loss: 0.0371 (0.0447) loss_seg: 0.0401 (0.0481) loss_lansim: 0.0883 (0.0868) loss_contra: 0.0000 (0.0021) time: 2.5515 data: 0.0025 max mem: 31671 Epoch: [27] [ 530/5278] eta: 3:23:24 lr: 1.8056284151794045e-05 loss: 0.0371 (0.0446) loss_seg: 0.0400 (0.0479) loss_lansim: 0.0880 (0.0867) loss_contra: 0.0000 (0.0021) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [27] [ 540/5278] eta: 3:22:56 lr: 1.8053897245358152e-05 loss: 0.0366 (0.0445) loss_seg: 0.0399 (0.0479) loss_lansim: 0.0880 (0.0867) loss_contra: 0.0000 (0.0021) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [27] [ 550/5278] eta: 3:22:32 lr: 1.8051510303858076e-05 loss: 0.0372 (0.0445) loss_seg: 0.0400 (0.0479) loss_lansim: 0.0880 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5476 data: 0.0025 max mem: 31671 Epoch: [27] [ 560/5278] eta: 3:22:08 lr: 1.804912332728816e-05 loss: 0.0364 (0.0445) loss_seg: 0.0397 (0.0478) loss_lansim: 0.0874 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [27] [ 570/5278] eta: 3:21:46 lr: 1.804673631564272e-05 loss: 0.0377 (0.0447) loss_seg: 0.0399 (0.0480) loss_lansim: 0.0875 (0.0866) loss_contra: 0.0000 (0.0025) time: 2.5639 data: 0.0025 max mem: 31671 Epoch: [27] [ 580/5278] eta: 3:21:16 lr: 1.8044349268916095e-05 loss: 0.0385 (0.0447) loss_seg: 0.0411 (0.0480) loss_lansim: 0.0874 (0.0867) loss_contra: 0.0000 (0.0025) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [27] [ 590/5278] eta: 3:20:48 lr: 1.804196218710261e-05 loss: 0.0385 (0.0446) loss_seg: 0.0405 (0.0479) loss_lansim: 0.0871 (0.0867) loss_contra: 0.0000 (0.0025) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [27] [ 600/5278] eta: 3:20:17 lr: 1.80395750701966e-05 loss: 0.0394 (0.0444) loss_seg: 0.0405 (0.0477) loss_lansim: 0.0868 (0.0867) loss_contra: 0.0000 (0.0024) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [27] [ 610/5278] eta: 3:19:51 lr: 1.8037187918192373e-05 loss: 0.0383 (0.0443) loss_seg: 0.0397 (0.0476) loss_lansim: 0.0856 (0.0867) loss_contra: 0.0000 (0.0024) time: 2.5609 data: 0.0025 max mem: 31671 Epoch: [27] [ 620/5278] eta: 3:19:31 lr: 1.803480073108426e-05 loss: 0.0379 (0.0442) loss_seg: 0.0397 (0.0475) loss_lansim: 0.0838 (0.0865) loss_contra: 0.0000 (0.0024) time: 2.5691 data: 0.0026 max mem: 31671 Epoch: [27] [ 630/5278] eta: 3:19:07 lr: 1.8032413508866582e-05 loss: 0.0385 (0.0443) loss_seg: 0.0400 (0.0476) loss_lansim: 0.0853 (0.0866) loss_contra: 0.0000 (0.0024) time: 2.5709 data: 0.0025 max mem: 31671 Epoch: [27] [ 640/5278] eta: 3:18:43 lr: 1.8030026251533657e-05 loss: 0.0385 (0.0443) loss_seg: 0.0405 (0.0476) loss_lansim: 0.0855 (0.0866) loss_contra: 0.0000 (0.0024) time: 2.5745 data: 0.0026 max mem: 31671 Epoch: [27] [ 650/5278] eta: 3:18:17 lr: 1.8027638959079808e-05 loss: 0.0383 (0.0443) loss_seg: 0.0400 (0.0477) loss_lansim: 0.0855 (0.0867) loss_contra: 0.0000 (0.0024) time: 2.5723 data: 0.0026 max mem: 31671 Epoch: [27] [ 660/5278] eta: 3:17:52 lr: 1.8025251631499347e-05 loss: 0.0382 (0.0442) loss_seg: 0.0400 (0.0475) loss_lansim: 0.0859 (0.0867) loss_contra: 0.0000 (0.0025) time: 2.5719 data: 0.0026 max mem: 31671 Epoch: [27] [ 670/5278] eta: 3:17:23 lr: 1.8022864268786578e-05 loss: 0.0379 (0.0445) loss_seg: 0.0400 (0.0478) loss_lansim: 0.0859 (0.0868) loss_contra: 0.0000 (0.0024) time: 2.5626 data: 0.0026 max mem: 31671 Epoch: [27] [ 680/5278] eta: 3:16:54 lr: 1.8020476870935826e-05 loss: 0.0376 (0.0444) loss_seg: 0.0388 (0.0477) loss_lansim: 0.0859 (0.0868) loss_contra: 0.0001 (0.0024) time: 2.5628 data: 0.0026 max mem: 31671 Epoch: [27] [ 690/5278] eta: 3:16:29 lr: 1.80180894379414e-05 loss: 0.0376 (0.0443) loss_seg: 0.0387 (0.0476) loss_lansim: 0.0853 (0.0867) loss_contra: 0.0001 (0.0024) time: 2.5672 data: 0.0026 max mem: 31671 Epoch: [27] [ 700/5278] eta: 3:16:02 lr: 1.8015701969797603e-05 loss: 0.0376 (0.0442) loss_seg: 0.0391 (0.0475) loss_lansim: 0.0857 (0.0867) loss_contra: 0.0000 (0.0024) time: 2.5714 data: 0.0026 max mem: 31671 Epoch: [27] [ 710/5278] eta: 3:15:39 lr: 1.801331446649874e-05 loss: 0.0379 (0.0442) loss_seg: 0.0400 (0.0475) loss_lansim: 0.0859 (0.0867) loss_contra: 0.0000 (0.0023) time: 2.5765 data: 0.0026 max mem: 31671 Epoch: [27] [ 720/5278] eta: 3:15:13 lr: 1.801092692803912e-05 loss: 0.0383 (0.0443) loss_seg: 0.0400 (0.0476) loss_lansim: 0.0873 (0.0867) loss_contra: 0.0000 (0.0023) time: 2.5690 data: 0.0026 max mem: 31671 Epoch: [27] [ 730/5278] eta: 3:14:44 lr: 1.8008539354413055e-05 loss: 0.0368 (0.0442) loss_seg: 0.0380 (0.0474) loss_lansim: 0.0877 (0.0867) loss_contra: 0.0000 (0.0023) time: 2.5607 data: 0.0026 max mem: 31671 Epoch: [27] [ 740/5278] eta: 3:14:15 lr: 1.800615174561483e-05 loss: 0.0353 (0.0440) loss_seg: 0.0377 (0.0473) loss_lansim: 0.0877 (0.0868) loss_contra: 0.0000 (0.0023) time: 2.5543 data: 0.0026 max mem: 31671 Epoch: [27] [ 750/5278] eta: 3:13:50 lr: 1.800376410163875e-05 loss: 0.0368 (0.0440) loss_seg: 0.0388 (0.0473) loss_lansim: 0.0876 (0.0868) loss_contra: 0.0000 (0.0022) time: 2.5552 data: 0.0026 max mem: 31671 Epoch: [27] [ 760/5278] eta: 3:13:23 lr: 1.800137642247912e-05 loss: 0.0376 (0.0441) loss_seg: 0.0391 (0.0473) loss_lansim: 0.0863 (0.0868) loss_contra: 0.0000 (0.0022) time: 2.5502 data: 0.0026 max mem: 31671 Epoch: [27] [ 770/5278] eta: 3:12:58 lr: 1.7998988708130232e-05 loss: 0.0387 (0.0442) loss_seg: 0.0398 (0.0475) loss_lansim: 0.0876 (0.0868) loss_contra: 0.0000 (0.0022) time: 2.5565 data: 0.0026 max mem: 31671 Epoch: [27] [ 780/5278] eta: 3:12:31 lr: 1.799660095858638e-05 loss: 0.0387 (0.0442) loss_seg: 0.0400 (0.0474) loss_lansim: 0.0877 (0.0869) loss_contra: 0.0000 (0.0022) time: 2.5590 data: 0.0026 max mem: 31671 Epoch: [27] [ 790/5278] eta: 3:12:04 lr: 1.799421317384185e-05 loss: 0.0380 (0.0442) loss_seg: 0.0400 (0.0475) loss_lansim: 0.0878 (0.0868) loss_contra: 0.0000 (0.0022) time: 2.5550 data: 0.0026 max mem: 31671 Epoch: [27] [ 800/5278] eta: 3:11:37 lr: 1.7991825353890946e-05 loss: 0.0387 (0.0447) loss_seg: 0.0418 (0.0479) loss_lansim: 0.0866 (0.0868) loss_contra: 0.0000 (0.0022) time: 2.5556 data: 0.0026 max mem: 31671 Epoch: [27] [ 810/5278] eta: 3:11:12 lr: 1.798943749872795e-05 loss: 0.0387 (0.0447) loss_seg: 0.0418 (0.0479) loss_lansim: 0.0859 (0.0867) loss_contra: 0.0000 (0.0023) time: 2.5517 data: 0.0026 max mem: 31671 Epoch: [27] [ 820/5278] eta: 3:10:43 lr: 1.7987049608347147e-05 loss: 0.0363 (0.0446) loss_seg: 0.0398 (0.0478) loss_lansim: 0.0867 (0.0868) loss_contra: 0.0000 (0.0024) time: 2.5451 data: 0.0026 max mem: 31671 Epoch: [27] [ 830/5278] eta: 3:10:14 lr: 1.7984661682742827e-05 loss: 0.0386 (0.0446) loss_seg: 0.0417 (0.0478) loss_lansim: 0.0866 (0.0869) loss_contra: 0.0001 (0.0024) time: 2.5436 data: 0.0026 max mem: 31671 Epoch: [27] [ 840/5278] eta: 3:09:45 lr: 1.798227372190927e-05 loss: 0.0411 (0.0447) loss_seg: 0.0429 (0.0479) loss_lansim: 0.0866 (0.0869) loss_contra: 0.0001 (0.0024) time: 2.5429 data: 0.0026 max mem: 31671 Epoch: [27] [ 850/5278] eta: 3:09:14 lr: 1.7979885725840763e-05 loss: 0.0411 (0.0446) loss_seg: 0.0429 (0.0479) loss_lansim: 0.0868 (0.0869) loss_contra: 0.0001 (0.0024) time: 2.5321 data: 0.0026 max mem: 31671 Epoch: [27] [ 860/5278] eta: 3:08:48 lr: 1.7977497694531584e-05 loss: 0.0412 (0.0446) loss_seg: 0.0429 (0.0478) loss_lansim: 0.0868 (0.0870) loss_contra: 0.0001 (0.0024) time: 2.5331 data: 0.0026 max mem: 31671 Epoch: [27] [ 870/5278] eta: 3:08:19 lr: 1.7975109627976005e-05 loss: 0.0386 (0.0445) loss_seg: 0.0398 (0.0477) loss_lansim: 0.0859 (0.0869) loss_contra: 0.0001 (0.0023) time: 2.5260 data: 0.0026 max mem: 31671 Epoch: [27] [ 880/5278] eta: 3:07:55 lr: 1.797272152616831e-05 loss: 0.0387 (0.0445) loss_seg: 0.0420 (0.0477) loss_lansim: 0.0849 (0.0868) loss_contra: 0.0001 (0.0023) time: 2.5300 data: 0.0026 max mem: 31671 Epoch: [27] [ 890/5278] eta: 3:07:28 lr: 1.7970333389102775e-05 loss: 0.0396 (0.0444) loss_seg: 0.0420 (0.0476) loss_lansim: 0.0857 (0.0868) loss_contra: 0.0001 (0.0023) time: 2.5295 data: 0.0026 max mem: 31671 Epoch: [27] [ 900/5278] eta: 3:07:00 lr: 1.7967945216773676e-05 loss: 0.0387 (0.0444) loss_seg: 0.0420 (0.0476) loss_lansim: 0.0857 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5248 data: 0.0026 max mem: 31671 Epoch: [27] [ 910/5278] eta: 3:06:33 lr: 1.7965557009175273e-05 loss: 0.0382 (0.0443) loss_seg: 0.0389 (0.0474) loss_lansim: 0.0867 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5210 data: 0.0026 max mem: 31671 Epoch: [27] [ 920/5278] eta: 3:06:06 lr: 1.796316876630184e-05 loss: 0.0382 (0.0442) loss_seg: 0.0416 (0.0473) loss_lansim: 0.0868 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [27] [ 930/5278] eta: 3:05:42 lr: 1.796078048814765e-05 loss: 0.0383 (0.0442) loss_seg: 0.0418 (0.0474) loss_lansim: 0.0858 (0.0869) loss_contra: 0.0000 (0.0022) time: 2.5336 data: 0.0026 max mem: 31671 Epoch: [27] [ 940/5278] eta: 3:05:15 lr: 1.7958392174706968e-05 loss: 0.0375 (0.0441) loss_seg: 0.0403 (0.0473) loss_lansim: 0.0859 (0.0870) loss_contra: 0.0000 (0.0022) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [27] [ 950/5278] eta: 3:04:51 lr: 1.795600382597405e-05 loss: 0.0368 (0.0441) loss_seg: 0.0388 (0.0472) loss_lansim: 0.0856 (0.0869) loss_contra: 0.0000 (0.0022) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [27] [ 960/5278] eta: 3:04:30 lr: 1.7953615441943165e-05 loss: 0.0367 (0.0440) loss_seg: 0.0388 (0.0471) loss_lansim: 0.0856 (0.0870) loss_contra: 0.0000 (0.0022) time: 2.5603 data: 0.0025 max mem: 31671 Epoch: [27] [ 970/5278] eta: 3:04:05 lr: 1.7951227022608576e-05 loss: 0.0368 (0.0440) loss_seg: 0.0389 (0.0471) loss_lansim: 0.0872 (0.0871) loss_contra: 0.0000 (0.0022) time: 2.5671 data: 0.0025 max mem: 31671 Epoch: [27] [ 980/5278] eta: 3:03:41 lr: 1.7948838567964537e-05 loss: 0.0352 (0.0440) loss_seg: 0.0379 (0.0471) loss_lansim: 0.0891 (0.0871) loss_contra: 0.0000 (0.0021) time: 2.5687 data: 0.0025 max mem: 31671 Epoch: [27] [ 990/5278] eta: 3:03:15 lr: 1.794645007800531e-05 loss: 0.0354 (0.0443) loss_seg: 0.0382 (0.0475) loss_lansim: 0.0904 (0.0872) loss_contra: 0.0000 (0.0021) time: 2.5711 data: 0.0025 max mem: 31671 Epoch: [27] [1000/5278] eta: 3:02:51 lr: 1.7944061552725143e-05 loss: 0.0368 (0.0447) loss_seg: 0.0382 (0.0478) loss_lansim: 0.0913 (0.0873) loss_contra: 0.0000 (0.0021) time: 2.5797 data: 0.0025 max mem: 31671 Epoch: [27] [1010/5278] eta: 3:02:24 lr: 1.794167299211829e-05 loss: 0.0379 (0.0448) loss_seg: 0.0414 (0.0480) loss_lansim: 0.0916 (0.0874) loss_contra: 0.0000 (0.0021) time: 2.5808 data: 0.0025 max mem: 31671 Epoch: [27] [1020/5278] eta: 3:01:55 lr: 1.793928439617902e-05 loss: 0.0403 (0.0449) loss_seg: 0.0443 (0.0480) loss_lansim: 0.0903 (0.0874) loss_contra: 0.0000 (0.0021) time: 2.5757 data: 0.0025 max mem: 31671 Epoch: [27] [1030/5278] eta: 3:01:28 lr: 1.793689576490156e-05 loss: 0.0391 (0.0449) loss_seg: 0.0426 (0.0480) loss_lansim: 0.0916 (0.0874) loss_contra: 0.0000 (0.0021) time: 2.5678 data: 0.0025 max mem: 31671 Epoch: [27] [1040/5278] eta: 3:01:02 lr: 1.7934507098280167e-05 loss: 0.0408 (0.0449) loss_seg: 0.0443 (0.0480) loss_lansim: 0.0914 (0.0874) loss_contra: 0.0000 (0.0021) time: 2.5702 data: 0.0025 max mem: 31671 Epoch: [27] [1050/5278] eta: 3:00:33 lr: 1.793211839630909e-05 loss: 0.0450 (0.0450) loss_seg: 0.0489 (0.0481) loss_lansim: 0.0921 (0.0875) loss_contra: 0.0000 (0.0020) time: 2.5606 data: 0.0025 max mem: 31671 Epoch: [27] [1060/5278] eta: 3:00:08 lr: 1.792972965898258e-05 loss: 0.0466 (0.0450) loss_seg: 0.0494 (0.0482) loss_lansim: 0.0917 (0.0875) loss_contra: 0.0000 (0.0020) time: 2.5495 data: 0.0025 max mem: 31671 Epoch: [27] [1070/5278] eta: 2:59:40 lr: 1.7927340886294862e-05 loss: 0.0466 (0.0450) loss_seg: 0.0494 (0.0481) loss_lansim: 0.0921 (0.0876) loss_contra: 0.0000 (0.0020) time: 2.5432 data: 0.0025 max mem: 31671 Epoch: [27] [1080/5278] eta: 2:59:14 lr: 1.792495207824019e-05 loss: 0.0463 (0.0449) loss_seg: 0.0494 (0.0480) loss_lansim: 0.0914 (0.0876) loss_contra: 0.0000 (0.0020) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [27] [1090/5278] eta: 2:58:50 lr: 1.79225632348128e-05 loss: 0.0450 (0.0449) loss_seg: 0.0489 (0.0480) loss_lansim: 0.0908 (0.0877) loss_contra: 0.0000 (0.0020) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [27] [1100/5278] eta: 2:58:18 lr: 1.7920174356006935e-05 loss: 0.0444 (0.0448) loss_seg: 0.0463 (0.0479) loss_lansim: 0.0904 (0.0878) loss_contra: 0.0001 (0.0020) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [27] [1110/5278] eta: 2:57:55 lr: 1.791778544181682e-05 loss: 0.0421 (0.0447) loss_seg: 0.0449 (0.0479) loss_lansim: 0.0904 (0.0878) loss_contra: 0.0000 (0.0020) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [27] [1120/5278] eta: 2:57:26 lr: 1.791539649223669e-05 loss: 0.0404 (0.0446) loss_seg: 0.0425 (0.0478) loss_lansim: 0.0910 (0.0879) loss_contra: 0.0000 (0.0020) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [27] [1130/5278] eta: 2:57:01 lr: 1.7913007507260787e-05 loss: 0.0405 (0.0447) loss_seg: 0.0426 (0.0478) loss_lansim: 0.0915 (0.0879) loss_contra: 0.0000 (0.0020) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [27] [1140/5278] eta: 2:56:35 lr: 1.7910618486883334e-05 loss: 0.0388 (0.0446) loss_seg: 0.0422 (0.0478) loss_lansim: 0.0915 (0.0879) loss_contra: 0.0000 (0.0020) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [27] [1150/5278] eta: 2:56:09 lr: 1.7908229431098565e-05 loss: 0.0382 (0.0446) loss_seg: 0.0414 (0.0478) loss_lansim: 0.0913 (0.0880) loss_contra: 0.0001 (0.0020) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [27] [1160/5278] eta: 2:55:46 lr: 1.79058403399007e-05 loss: 0.0370 (0.0446) loss_seg: 0.0405 (0.0477) loss_lansim: 0.0910 (0.0880) loss_contra: 0.0001 (0.0019) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [27] [1170/5278] eta: 2:55:18 lr: 1.790345121328397e-05 loss: 0.0367 (0.0445) loss_seg: 0.0402 (0.0476) loss_lansim: 0.0904 (0.0880) loss_contra: 0.0000 (0.0019) time: 2.5463 data: 0.0026 max mem: 31671 Epoch: [27] [1180/5278] eta: 2:54:53 lr: 1.7901062051242586e-05 loss: 0.0370 (0.0445) loss_seg: 0.0405 (0.0476) loss_lansim: 0.0904 (0.0880) loss_contra: 0.0000 (0.0019) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [27] [1190/5278] eta: 2:54:27 lr: 1.789867285377079e-05 loss: 0.0368 (0.0446) loss_seg: 0.0404 (0.0477) loss_lansim: 0.0907 (0.0880) loss_contra: 0.0000 (0.0019) time: 2.5436 data: 0.0026 max mem: 31671 Epoch: [27] [1200/5278] eta: 2:54:03 lr: 1.789628362086278e-05 loss: 0.0382 (0.0446) loss_seg: 0.0416 (0.0477) loss_lansim: 0.0905 (0.0880) loss_contra: 0.0000 (0.0019) time: 2.5640 data: 0.0026 max mem: 31671 Epoch: [27] [1210/5278] eta: 2:53:36 lr: 1.7893894352512787e-05 loss: 0.0382 (0.0445) loss_seg: 0.0418 (0.0477) loss_lansim: 0.0902 (0.0880) loss_contra: 0.0000 (0.0019) time: 2.5548 data: 0.0026 max mem: 31671 Epoch: [27] [1220/5278] eta: 2:53:11 lr: 1.789150504871502e-05 loss: 0.0382 (0.0445) loss_seg: 0.0418 (0.0476) loss_lansim: 0.0902 (0.0881) loss_contra: 0.0000 (0.0019) time: 2.5649 data: 0.0026 max mem: 31671 Epoch: [27] [1230/5278] eta: 2:52:44 lr: 1.788911570946371e-05 loss: 0.0376 (0.0444) loss_seg: 0.0404 (0.0475) loss_lansim: 0.0885 (0.0880) loss_contra: 0.0000 (0.0019) time: 2.5583 data: 0.0026 max mem: 31671 Epoch: [27] [1240/5278] eta: 2:52:18 lr: 1.788672633475304e-05 loss: 0.0370 (0.0444) loss_seg: 0.0401 (0.0475) loss_lansim: 0.0886 (0.0880) loss_contra: 0.0000 (0.0019) time: 2.5574 data: 0.0026 max mem: 31671 Epoch: [27] [1250/5278] eta: 2:51:51 lr: 1.788433692457724e-05 loss: 0.0368 (0.0445) loss_seg: 0.0401 (0.0476) loss_lansim: 0.0885 (0.0881) loss_contra: 0.0000 (0.0019) time: 2.5550 data: 0.0026 max mem: 31671 Epoch: [27] [1260/5278] eta: 2:51:26 lr: 1.788194747893052e-05 loss: 0.0382 (0.0446) loss_seg: 0.0404 (0.0477) loss_lansim: 0.0883 (0.0881) loss_contra: 0.0000 (0.0019) time: 2.5493 data: 0.0026 max mem: 31671 Epoch: [27] [1270/5278] eta: 2:50:58 lr: 1.787955799780708e-05 loss: 0.0383 (0.0445) loss_seg: 0.0412 (0.0476) loss_lansim: 0.0872 (0.0881) loss_contra: 0.0000 (0.0019) time: 2.5471 data: 0.0026 max mem: 31671 Epoch: [27] [1280/5278] eta: 2:50:34 lr: 1.7877168481201126e-05 loss: 0.0385 (0.0445) loss_seg: 0.0413 (0.0476) loss_lansim: 0.0886 (0.0881) loss_contra: 0.0000 (0.0019) time: 2.5512 data: 0.0026 max mem: 31671 Epoch: [27] [1290/5278] eta: 2:50:08 lr: 1.7874778929106862e-05 loss: 0.0382 (0.0445) loss_seg: 0.0402 (0.0475) loss_lansim: 0.0889 (0.0882) loss_contra: 0.0000 (0.0020) time: 2.5495 data: 0.0026 max mem: 31671 Epoch: [27] [1300/5278] eta: 2:49:44 lr: 1.787238934151849e-05 loss: 0.0385 (0.0447) loss_seg: 0.0402 (0.0478) loss_lansim: 0.0896 (0.0882) loss_contra: 0.0000 (0.0020) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [27] [1310/5278] eta: 2:49:19 lr: 1.7869999718430212e-05 loss: 0.0386 (0.0447) loss_seg: 0.0411 (0.0478) loss_lansim: 0.0896 (0.0882) loss_contra: 0.0000 (0.0020) time: 2.5560 data: 0.0025 max mem: 31671 Epoch: [27] [1320/5278] eta: 2:48:52 lr: 1.7867610059836222e-05 loss: 0.0386 (0.0447) loss_seg: 0.0411 (0.0478) loss_lansim: 0.0896 (0.0882) loss_contra: 0.0000 (0.0020) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [27] [1330/5278] eta: 2:48:27 lr: 1.786522036573071e-05 loss: 0.0385 (0.0446) loss_seg: 0.0411 (0.0477) loss_lansim: 0.0896 (0.0883) loss_contra: 0.0000 (0.0020) time: 2.5567 data: 0.0025 max mem: 31671 Epoch: [27] [1340/5278] eta: 2:48:02 lr: 1.7862830636107886e-05 loss: 0.0415 (0.0447) loss_seg: 0.0427 (0.0478) loss_lansim: 0.0903 (0.0883) loss_contra: 0.0000 (0.0021) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [27] [1350/5278] eta: 2:47:38 lr: 1.7860440870961935e-05 loss: 0.0418 (0.0447) loss_seg: 0.0432 (0.0478) loss_lansim: 0.0894 (0.0883) loss_contra: 0.0000 (0.0020) time: 2.5709 data: 0.0026 max mem: 31671 Epoch: [27] [1360/5278] eta: 2:47:13 lr: 1.785805107028704e-05 loss: 0.0404 (0.0447) loss_seg: 0.0423 (0.0478) loss_lansim: 0.0894 (0.0883) loss_contra: 0.0000 (0.0020) time: 2.5699 data: 0.0025 max mem: 31671 Epoch: [27] [1370/5278] eta: 2:46:47 lr: 1.7855661234077398e-05 loss: 0.0385 (0.0446) loss_seg: 0.0411 (0.0477) loss_lansim: 0.0906 (0.0883) loss_contra: 0.0000 (0.0020) time: 2.5758 data: 0.0025 max mem: 31671 Epoch: [27] [1380/5278] eta: 2:46:20 lr: 1.7853271362327194e-05 loss: 0.0368 (0.0445) loss_seg: 0.0402 (0.0476) loss_lansim: 0.0903 (0.0884) loss_contra: 0.0000 (0.0020) time: 2.5699 data: 0.0026 max mem: 31671 Epoch: [27] [1390/5278] eta: 2:45:52 lr: 1.7850881455030616e-05 loss: 0.0375 (0.0445) loss_seg: 0.0407 (0.0476) loss_lansim: 0.0903 (0.0884) loss_contra: 0.0000 (0.0020) time: 2.5618 data: 0.0026 max mem: 31671 Epoch: [27] [1400/5278] eta: 2:45:27 lr: 1.784849151218185e-05 loss: 0.0368 (0.0445) loss_seg: 0.0399 (0.0476) loss_lansim: 0.0903 (0.0885) loss_contra: 0.0000 (0.0021) time: 2.5563 data: 0.0026 max mem: 31671 Epoch: [27] [1410/5278] eta: 2:45:03 lr: 1.7846101533775062e-05 loss: 0.0366 (0.0445) loss_seg: 0.0387 (0.0475) loss_lansim: 0.0905 (0.0885) loss_contra: 0.0000 (0.0021) time: 2.5628 data: 0.0026 max mem: 31671 Epoch: [27] [1420/5278] eta: 2:44:39 lr: 1.7843711519804445e-05 loss: 0.0366 (0.0445) loss_seg: 0.0388 (0.0476) loss_lansim: 0.0906 (0.0885) loss_contra: 0.0000 (0.0021) time: 2.5704 data: 0.0026 max mem: 31671 Epoch: [27] [1430/5278] eta: 2:44:13 lr: 1.7841321470264173e-05 loss: 0.0380 (0.0447) loss_seg: 0.0408 (0.0478) loss_lansim: 0.0916 (0.0885) loss_contra: 0.0000 (0.0021) time: 2.5672 data: 0.0026 max mem: 31671 Epoch: [27] [1440/5278] eta: 2:43:47 lr: 1.7838931385148433e-05 loss: 0.0374 (0.0446) loss_seg: 0.0401 (0.0477) loss_lansim: 0.0906 (0.0885) loss_contra: 0.0000 (0.0021) time: 2.5640 data: 0.0026 max mem: 31671 Epoch: [27] [1450/5278] eta: 2:43:23 lr: 1.7836541264451377e-05 loss: 0.0374 (0.0446) loss_seg: 0.0387 (0.0477) loss_lansim: 0.0903 (0.0885) loss_contra: 0.0001 (0.0021) time: 2.5622 data: 0.0025 max mem: 31671 Epoch: [27] [1460/5278] eta: 2:42:56 lr: 1.7834151108167197e-05 loss: 0.0374 (0.0447) loss_seg: 0.0388 (0.0478) loss_lansim: 0.0916 (0.0886) loss_contra: 0.0001 (0.0021) time: 2.5577 data: 0.0026 max mem: 31671 Epoch: [27] [1470/5278] eta: 2:42:32 lr: 1.783176091629005e-05 loss: 0.0375 (0.0447) loss_seg: 0.0401 (0.0478) loss_lansim: 0.0910 (0.0886) loss_contra: 0.0001 (0.0021) time: 2.5646 data: 0.0025 max mem: 31671 Epoch: [27] [1480/5278] eta: 2:42:06 lr: 1.7829370688814122e-05 loss: 0.0380 (0.0447) loss_seg: 0.0408 (0.0478) loss_lansim: 0.0900 (0.0886) loss_contra: 0.0000 (0.0021) time: 2.5659 data: 0.0026 max mem: 31671 Epoch: [27] [1490/5278] eta: 2:41:42 lr: 1.7826980425733558e-05 loss: 0.0388 (0.0447) loss_seg: 0.0416 (0.0478) loss_lansim: 0.0891 (0.0886) loss_contra: 0.0001 (0.0020) time: 2.5812 data: 0.0025 max mem: 31671 Epoch: [27] [1500/5278] eta: 2:41:16 lr: 1.7824590127042536e-05 loss: 0.0388 (0.0447) loss_seg: 0.0408 (0.0478) loss_lansim: 0.0879 (0.0886) loss_contra: 0.0001 (0.0020) time: 2.5776 data: 0.0025 max mem: 31671 Epoch: [27] [1510/5278] eta: 2:40:51 lr: 1.782219979273522e-05 loss: 0.0396 (0.0447) loss_seg: 0.0425 (0.0478) loss_lansim: 0.0889 (0.0886) loss_contra: 0.0001 (0.0020) time: 2.5736 data: 0.0025 max mem: 31671 Epoch: [27] [1520/5278] eta: 2:40:25 lr: 1.7819809422805772e-05 loss: 0.0396 (0.0447) loss_seg: 0.0416 (0.0478) loss_lansim: 0.0889 (0.0886) loss_contra: 0.0001 (0.0020) time: 2.5686 data: 0.0025 max mem: 31671 Epoch: [27] [1530/5278] eta: 2:39:59 lr: 1.7817419017248344e-05 loss: 0.0388 (0.0447) loss_seg: 0.0395 (0.0478) loss_lansim: 0.0884 (0.0886) loss_contra: 0.0000 (0.0020) time: 2.5708 data: 0.0025 max mem: 31671 Epoch: [27] [1540/5278] eta: 2:39:34 lr: 1.7815028576057097e-05 loss: 0.0396 (0.0448) loss_seg: 0.0414 (0.0479) loss_lansim: 0.0887 (0.0886) loss_contra: 0.0000 (0.0020) time: 2.5719 data: 0.0025 max mem: 31671 Epoch: [27] [1550/5278] eta: 2:39:09 lr: 1.781263809922619e-05 loss: 0.0396 (0.0447) loss_seg: 0.0416 (0.0478) loss_lansim: 0.0891 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5686 data: 0.0025 max mem: 31671 Epoch: [27] [1560/5278] eta: 2:38:42 lr: 1.781024758674978e-05 loss: 0.0396 (0.0447) loss_seg: 0.0416 (0.0478) loss_lansim: 0.0889 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5697 data: 0.0026 max mem: 31671 Epoch: [27] [1570/5278] eta: 2:38:17 lr: 1.780785703862201e-05 loss: 0.0399 (0.0447) loss_seg: 0.0425 (0.0478) loss_lansim: 0.0889 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5664 data: 0.0026 max mem: 31671 Epoch: [27] [1580/5278] eta: 2:37:50 lr: 1.7805466454837036e-05 loss: 0.0396 (0.0446) loss_seg: 0.0411 (0.0478) loss_lansim: 0.0889 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5645 data: 0.0025 max mem: 31671 Epoch: [27] [1590/5278] eta: 2:37:23 lr: 1.7803075835389006e-05 loss: 0.0374 (0.0446) loss_seg: 0.0392 (0.0477) loss_lansim: 0.0884 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [27] [1600/5278] eta: 2:36:57 lr: 1.7800685180272073e-05 loss: 0.0390 (0.0446) loss_seg: 0.0414 (0.0477) loss_lansim: 0.0887 (0.0886) loss_contra: 0.0000 (0.0020) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [27] [1610/5278] eta: 2:36:34 lr: 1.779829448948037e-05 loss: 0.0385 (0.0446) loss_seg: 0.0412 (0.0478) loss_lansim: 0.0884 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5572 data: 0.0025 max mem: 31671 Epoch: [27] [1620/5278] eta: 2:36:10 lr: 1.7795903763008046e-05 loss: 0.0397 (0.0448) loss_seg: 0.0429 (0.0479) loss_lansim: 0.0886 (0.0886) loss_contra: 0.0000 (0.0020) time: 2.5697 data: 0.0025 max mem: 31671 Epoch: [27] [1630/5278] eta: 2:35:46 lr: 1.779351300084924e-05 loss: 0.0376 (0.0447) loss_seg: 0.0411 (0.0479) loss_lansim: 0.0889 (0.0887) loss_contra: 0.0000 (0.0019) time: 2.5737 data: 0.0025 max mem: 31671 Epoch: [27] [1640/5278] eta: 2:35:19 lr: 1.7791122202998097e-05 loss: 0.0390 (0.0449) loss_seg: 0.0425 (0.0481) loss_lansim: 0.0894 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5670 data: 0.0025 max mem: 31671 Epoch: [27] [1650/5278] eta: 2:34:52 lr: 1.7788731369448754e-05 loss: 0.0390 (0.0449) loss_seg: 0.0425 (0.0481) loss_lansim: 0.0889 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5603 data: 0.0025 max mem: 31671 Epoch: [27] [1660/5278] eta: 2:34:26 lr: 1.7786340500195343e-05 loss: 0.0390 (0.0449) loss_seg: 0.0425 (0.0481) loss_lansim: 0.0879 (0.0887) loss_contra: 0.0000 (0.0020) time: 2.5623 data: 0.0025 max mem: 31671 Epoch: [27] [1670/5278] eta: 2:34:00 lr: 1.7783949595231995e-05 loss: 0.0370 (0.0449) loss_seg: 0.0402 (0.0481) loss_lansim: 0.0882 (0.0887) loss_contra: 0.0000 (0.0021) time: 2.5594 data: 0.0025 max mem: 31671 Epoch: [27] [1680/5278] eta: 2:33:37 lr: 1.7781558654552853e-05 loss: 0.0390 (0.0449) loss_seg: 0.0425 (0.0481) loss_lansim: 0.0877 (0.0887) loss_contra: 0.0001 (0.0021) time: 2.5739 data: 0.0025 max mem: 31671 Epoch: [27] [1690/5278] eta: 2:33:11 lr: 1.777916767815204e-05 loss: 0.0390 (0.0449) loss_seg: 0.0423 (0.0481) loss_lansim: 0.0873 (0.0887) loss_contra: 0.0001 (0.0021) time: 2.5784 data: 0.0025 max mem: 31671 Epoch: [27] [1700/5278] eta: 2:32:45 lr: 1.7776776666023684e-05 loss: 0.0385 (0.0449) loss_seg: 0.0418 (0.0481) loss_lansim: 0.0873 (0.0887) loss_contra: 0.0000 (0.0021) time: 2.5775 data: 0.0025 max mem: 31671 Epoch: [27] [1710/5278] eta: 2:32:19 lr: 1.777438561816191e-05 loss: 0.0389 (0.0449) loss_seg: 0.0418 (0.0481) loss_lansim: 0.0870 (0.0886) loss_contra: 0.0001 (0.0022) time: 2.5660 data: 0.0025 max mem: 31671 Epoch: [27] [1720/5278] eta: 2:31:52 lr: 1.7771994534560845e-05 loss: 0.0382 (0.0450) loss_seg: 0.0409 (0.0481) loss_lansim: 0.0870 (0.0886) loss_contra: 0.0001 (0.0022) time: 2.5514 data: 0.0025 max mem: 31671 Epoch: [27] [1730/5278] eta: 2:31:28 lr: 1.776960341521462e-05 loss: 0.0393 (0.0449) loss_seg: 0.0428 (0.0481) loss_lansim: 0.0859 (0.0886) loss_contra: 0.0001 (0.0022) time: 2.5509 data: 0.0025 max mem: 31671 Epoch: [27] [1740/5278] eta: 2:31:02 lr: 1.7767212260117344e-05 loss: 0.0389 (0.0450) loss_seg: 0.0417 (0.0481) loss_lansim: 0.0854 (0.0886) loss_contra: 0.0001 (0.0022) time: 2.5595 data: 0.0025 max mem: 31671 Epoch: [27] [1750/5278] eta: 2:30:37 lr: 1.776482106926314e-05 loss: 0.0389 (0.0450) loss_seg: 0.0418 (0.0482) loss_lansim: 0.0850 (0.0886) loss_contra: 0.0001 (0.0022) time: 2.5665 data: 0.0026 max mem: 31671 Epoch: [27] [1760/5278] eta: 2:30:11 lr: 1.7762429842646124e-05 loss: 0.0393 (0.0450) loss_seg: 0.0423 (0.0482) loss_lansim: 0.0856 (0.0886) loss_contra: 0.0001 (0.0022) time: 2.5649 data: 0.0026 max mem: 31671 Epoch: [27] [1770/5278] eta: 2:29:45 lr: 1.7760038580260425e-05 loss: 0.0393 (0.0450) loss_seg: 0.0423 (0.0482) loss_lansim: 0.0854 (0.0886) loss_contra: 0.0001 (0.0022) time: 2.5662 data: 0.0026 max mem: 31671 Epoch: [27] [1780/5278] eta: 2:29:20 lr: 1.7757647282100135e-05 loss: 0.0393 (0.0450) loss_seg: 0.0428 (0.0482) loss_lansim: 0.0857 (0.0886) loss_contra: 0.0001 (0.0022) time: 2.5565 data: 0.0026 max mem: 31671 Epoch: [27] [1790/5278] eta: 2:28:54 lr: 1.7755255948159377e-05 loss: 0.0403 (0.0450) loss_seg: 0.0430 (0.0481) loss_lansim: 0.0856 (0.0885) loss_contra: 0.0001 (0.0022) time: 2.5562 data: 0.0026 max mem: 31671 Epoch: [27] [1800/5278] eta: 2:28:28 lr: 1.7752864578432263e-05 loss: 0.0388 (0.0449) loss_seg: 0.0414 (0.0481) loss_lansim: 0.0857 (0.0885) loss_contra: 0.0001 (0.0021) time: 2.5574 data: 0.0026 max mem: 31671 Epoch: [27] [1810/5278] eta: 2:28:03 lr: 1.77504731729129e-05 loss: 0.0388 (0.0449) loss_seg: 0.0421 (0.0481) loss_lansim: 0.0852 (0.0885) loss_contra: 0.0001 (0.0022) time: 2.5644 data: 0.0026 max mem: 31671 Epoch: [27] [1820/5278] eta: 2:27:37 lr: 1.7748081731595392e-05 loss: 0.0388 (0.0449) loss_seg: 0.0421 (0.0481) loss_lansim: 0.0852 (0.0885) loss_contra: 0.0001 (0.0021) time: 2.5645 data: 0.0026 max mem: 31671 Epoch: [27] [1830/5278] eta: 2:27:09 lr: 1.774569025447384e-05 loss: 0.0388 (0.0449) loss_seg: 0.0409 (0.0480) loss_lansim: 0.0857 (0.0885) loss_contra: 0.0001 (0.0022) time: 2.5469 data: 0.0026 max mem: 31671 Epoch: [27] [1840/5278] eta: 2:26:42 lr: 1.7743298741542354e-05 loss: 0.0392 (0.0449) loss_seg: 0.0426 (0.0481) loss_lansim: 0.0860 (0.0885) loss_contra: 0.0001 (0.0022) time: 2.5378 data: 0.0026 max mem: 31671 Epoch: [27] [1850/5278] eta: 2:26:17 lr: 1.774090719279503e-05 loss: 0.0392 (0.0449) loss_seg: 0.0421 (0.0480) loss_lansim: 0.0860 (0.0885) loss_contra: 0.0001 (0.0022) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [27] [1860/5278] eta: 2:25:51 lr: 1.7738515608225974e-05 loss: 0.0395 (0.0449) loss_seg: 0.0426 (0.0481) loss_lansim: 0.0859 (0.0885) loss_contra: 0.0001 (0.0022) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [27] [1870/5278] eta: 2:25:24 lr: 1.7736123987829272e-05 loss: 0.0399 (0.0449) loss_seg: 0.0431 (0.0481) loss_lansim: 0.0852 (0.0884) loss_contra: 0.0001 (0.0021) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [27] [1880/5278] eta: 2:24:59 lr: 1.7733732331599023e-05 loss: 0.0403 (0.0449) loss_seg: 0.0440 (0.0481) loss_lansim: 0.0847 (0.0884) loss_contra: 0.0001 (0.0022) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [27] [1890/5278] eta: 2:24:34 lr: 1.7731340639529327e-05 loss: 0.0432 (0.0450) loss_seg: 0.0457 (0.0481) loss_lansim: 0.0847 (0.0884) loss_contra: 0.0001 (0.0022) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [27] [1900/5278] eta: 2:24:07 lr: 1.772894891161427e-05 loss: 0.0434 (0.0449) loss_seg: 0.0457 (0.0481) loss_lansim: 0.0847 (0.0884) loss_contra: 0.0001 (0.0022) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [27] [1910/5278] eta: 2:23:41 lr: 1.7726557147847937e-05 loss: 0.0428 (0.0449) loss_seg: 0.0457 (0.0481) loss_lansim: 0.0848 (0.0884) loss_contra: 0.0001 (0.0022) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [27] [1920/5278] eta: 2:23:15 lr: 1.7724165348224426e-05 loss: 0.0432 (0.0451) loss_seg: 0.0457 (0.0483) loss_lansim: 0.0847 (0.0883) loss_contra: 0.0000 (0.0022) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [27] [1930/5278] eta: 2:22:49 lr: 1.772177351273781e-05 loss: 0.0430 (0.0451) loss_seg: 0.0464 (0.0483) loss_lansim: 0.0840 (0.0883) loss_contra: 0.0000 (0.0022) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [27] [1940/5278] eta: 2:22:24 lr: 1.771938164138219e-05 loss: 0.0430 (0.0452) loss_seg: 0.0457 (0.0483) loss_lansim: 0.0833 (0.0883) loss_contra: 0.0000 (0.0022) time: 2.5528 data: 0.0025 max mem: 31671 Epoch: [27] [1950/5278] eta: 2:21:59 lr: 1.7716989734151634e-05 loss: 0.0426 (0.0451) loss_seg: 0.0457 (0.0483) loss_lansim: 0.0837 (0.0883) loss_contra: 0.0000 (0.0022) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [27] [1960/5278] eta: 2:21:34 lr: 1.7714597791040224e-05 loss: 0.0403 (0.0451) loss_seg: 0.0427 (0.0482) loss_lansim: 0.0840 (0.0883) loss_contra: 0.0000 (0.0022) time: 2.5586 data: 0.0025 max mem: 31671 Epoch: [27] [1970/5278] eta: 2:21:08 lr: 1.7712205812042043e-05 loss: 0.0377 (0.0450) loss_seg: 0.0404 (0.0482) loss_lansim: 0.0843 (0.0882) loss_contra: 0.0001 (0.0022) time: 2.5576 data: 0.0025 max mem: 31671 Epoch: [27] [1980/5278] eta: 2:20:43 lr: 1.7709813797151174e-05 loss: 0.0382 (0.0450) loss_seg: 0.0404 (0.0482) loss_lansim: 0.0832 (0.0882) loss_contra: 0.0001 (0.0023) time: 2.5659 data: 0.0025 max mem: 31671 Epoch: [27] [1990/5278] eta: 2:20:18 lr: 1.7707421746361675e-05 loss: 0.0377 (0.0450) loss_seg: 0.0404 (0.0482) loss_lansim: 0.0826 (0.0882) loss_contra: 0.0000 (0.0023) time: 2.5619 data: 0.0025 max mem: 31671 Epoch: [27] [2000/5278] eta: 2:19:52 lr: 1.7705029659667623e-05 loss: 0.0388 (0.0450) loss_seg: 0.0422 (0.0482) loss_lansim: 0.0826 (0.0881) loss_contra: 0.0000 (0.0023) time: 2.5677 data: 0.0025 max mem: 31671 Epoch: [27] [2010/5278] eta: 2:19:26 lr: 1.77026375370631e-05 loss: 0.0403 (0.0450) loss_seg: 0.0441 (0.0482) loss_lansim: 0.0827 (0.0881) loss_contra: 0.0001 (0.0023) time: 2.5694 data: 0.0025 max mem: 31671 Epoch: [27] [2020/5278] eta: 2:19:01 lr: 1.7700245378542172e-05 loss: 0.0377 (0.0450) loss_seg: 0.0404 (0.0481) loss_lansim: 0.0819 (0.0881) loss_contra: 0.0001 (0.0023) time: 2.5749 data: 0.0025 max mem: 31671 Epoch: [27] [2030/5278] eta: 2:18:35 lr: 1.7697853184098894e-05 loss: 0.0384 (0.0450) loss_seg: 0.0413 (0.0481) loss_lansim: 0.0820 (0.0881) loss_contra: 0.0001 (0.0023) time: 2.5674 data: 0.0025 max mem: 31671 Epoch: [27] [2040/5278] eta: 2:18:09 lr: 1.7695460953727342e-05 loss: 0.0375 (0.0450) loss_seg: 0.0402 (0.0482) loss_lansim: 0.0819 (0.0880) loss_contra: 0.0001 (0.0024) time: 2.5658 data: 0.0025 max mem: 31671 Epoch: [27] [2050/5278] eta: 2:17:45 lr: 1.7693068687421576e-05 loss: 0.0375 (0.0450) loss_seg: 0.0405 (0.0482) loss_lansim: 0.0815 (0.0880) loss_contra: 0.0001 (0.0024) time: 2.5709 data: 0.0025 max mem: 31671 Epoch: [27] [2060/5278] eta: 2:17:19 lr: 1.7690676385175667e-05 loss: 0.0384 (0.0450) loss_seg: 0.0418 (0.0482) loss_lansim: 0.0814 (0.0880) loss_contra: 0.0000 (0.0024) time: 2.5666 data: 0.0025 max mem: 31671 Epoch: [27] [2070/5278] eta: 2:16:54 lr: 1.768828404698366e-05 loss: 0.0400 (0.0450) loss_seg: 0.0422 (0.0482) loss_lansim: 0.0814 (0.0880) loss_contra: 0.0001 (0.0024) time: 2.5705 data: 0.0025 max mem: 31671 Epoch: [27] [2080/5278] eta: 2:16:28 lr: 1.768589167283962e-05 loss: 0.0384 (0.0451) loss_seg: 0.0418 (0.0482) loss_lansim: 0.0815 (0.0880) loss_contra: 0.0000 (0.0024) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [27] [2090/5278] eta: 2:16:03 lr: 1.7683499262737597e-05 loss: 0.0380 (0.0451) loss_seg: 0.0415 (0.0483) loss_lansim: 0.0824 (0.0879) loss_contra: 0.0000 (0.0024) time: 2.5641 data: 0.0025 max mem: 31671 Epoch: [27] [2100/5278] eta: 2:15:37 lr: 1.7681106816671657e-05 loss: 0.0375 (0.0451) loss_seg: 0.0413 (0.0483) loss_lansim: 0.0824 (0.0879) loss_contra: 0.0000 (0.0024) time: 2.5637 data: 0.0025 max mem: 31671 Epoch: [27] [2110/5278] eta: 2:15:10 lr: 1.767871433463585e-05 loss: 0.0363 (0.0450) loss_seg: 0.0390 (0.0482) loss_lansim: 0.0819 (0.0879) loss_contra: 0.0000 (0.0024) time: 2.5612 data: 0.0025 max mem: 31671 Epoch: [27] [2120/5278] eta: 2:14:44 lr: 1.7676321816624213e-05 loss: 0.0368 (0.0450) loss_seg: 0.0398 (0.0482) loss_lansim: 0.0830 (0.0879) loss_contra: 0.0000 (0.0024) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [27] [2130/5278] eta: 2:14:19 lr: 1.7673929262630805e-05 loss: 0.0368 (0.0450) loss_seg: 0.0398 (0.0482) loss_lansim: 0.0830 (0.0879) loss_contra: 0.0000 (0.0024) time: 2.5635 data: 0.0025 max mem: 31671 Epoch: [27] [2140/5278] eta: 2:13:53 lr: 1.767153667264967e-05 loss: 0.0369 (0.0450) loss_seg: 0.0391 (0.0482) loss_lansim: 0.0830 (0.0879) loss_contra: 0.0000 (0.0024) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [27] [2150/5278] eta: 2:13:27 lr: 1.766914404667486e-05 loss: 0.0369 (0.0451) loss_seg: 0.0398 (0.0482) loss_lansim: 0.0843 (0.0879) loss_contra: 0.0000 (0.0024) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [27] [2160/5278] eta: 2:13:01 lr: 1.7666751384700407e-05 loss: 0.0373 (0.0451) loss_seg: 0.0402 (0.0482) loss_lansim: 0.0843 (0.0879) loss_contra: 0.0001 (0.0023) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [27] [2170/5278] eta: 2:12:35 lr: 1.7664358686720352e-05 loss: 0.0373 (0.0450) loss_seg: 0.0402 (0.0482) loss_lansim: 0.0842 (0.0879) loss_contra: 0.0001 (0.0025) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [27] [2180/5278] eta: 2:12:09 lr: 1.7661965952728743e-05 loss: 0.0370 (0.0450) loss_seg: 0.0398 (0.0482) loss_lansim: 0.0844 (0.0879) loss_contra: 0.0001 (0.0025) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [27] [2190/5278] eta: 2:11:43 lr: 1.7659573182719615e-05 loss: 0.0363 (0.0450) loss_seg: 0.0389 (0.0482) loss_lansim: 0.0847 (0.0878) loss_contra: 0.0001 (0.0025) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [27] [2200/5278] eta: 2:11:17 lr: 1.7657180376687e-05 loss: 0.0358 (0.0449) loss_seg: 0.0385 (0.0481) loss_lansim: 0.0844 (0.0878) loss_contra: 0.0001 (0.0025) time: 2.5359 data: 0.0025 max mem: 31671 Epoch: [27] [2210/5278] eta: 2:10:50 lr: 1.765478753462493e-05 loss: 0.0373 (0.0450) loss_seg: 0.0392 (0.0482) loss_lansim: 0.0850 (0.0878) loss_contra: 0.0001 (0.0025) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [27] [2220/5278] eta: 2:10:24 lr: 1.7652394656527435e-05 loss: 0.0373 (0.0450) loss_seg: 0.0392 (0.0482) loss_lansim: 0.0842 (0.0878) loss_contra: 0.0001 (0.0025) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [27] [2230/5278] eta: 2:09:59 lr: 1.7650001742388557e-05 loss: 0.0373 (0.0450) loss_seg: 0.0392 (0.0481) loss_lansim: 0.0842 (0.0878) loss_contra: 0.0001 (0.0025) time: 2.5287 data: 0.0026 max mem: 31671 Epoch: [27] [2240/5278] eta: 2:09:33 lr: 1.7647608792202304e-05 loss: 0.0389 (0.0450) loss_seg: 0.0399 (0.0482) loss_lansim: 0.0844 (0.0878) loss_contra: 0.0001 (0.0025) time: 2.5314 data: 0.0026 max mem: 31671 Epoch: [27] [2250/5278] eta: 2:09:08 lr: 1.764521580596272e-05 loss: 0.0389 (0.0450) loss_seg: 0.0399 (0.0482) loss_lansim: 0.0852 (0.0878) loss_contra: 0.0001 (0.0025) time: 2.5369 data: 0.0026 max mem: 31671 Epoch: [27] [2260/5278] eta: 2:08:42 lr: 1.7642822783663817e-05 loss: 0.0389 (0.0450) loss_seg: 0.0403 (0.0482) loss_lansim: 0.0854 (0.0878) loss_contra: 0.0001 (0.0026) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [27] [2270/5278] eta: 2:08:15 lr: 1.764042972529963e-05 loss: 0.0411 (0.0450) loss_seg: 0.0443 (0.0482) loss_lansim: 0.0860 (0.0878) loss_contra: 0.0001 (0.0026) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [27] [2280/5278] eta: 2:07:49 lr: 1.7638036630864164e-05 loss: 0.0422 (0.0451) loss_seg: 0.0447 (0.0482) loss_lansim: 0.0863 (0.0878) loss_contra: 0.0001 (0.0026) time: 2.5336 data: 0.0026 max mem: 31671 Epoch: [27] [2290/5278] eta: 2:07:24 lr: 1.7635643500351444e-05 loss: 0.0433 (0.0451) loss_seg: 0.0448 (0.0482) loss_lansim: 0.0862 (0.0878) loss_contra: 0.0001 (0.0026) time: 2.5360 data: 0.0026 max mem: 31671 Epoch: [27] [2300/5278] eta: 2:06:58 lr: 1.7633250333755487e-05 loss: 0.0433 (0.0450) loss_seg: 0.0448 (0.0482) loss_lansim: 0.0864 (0.0877) loss_contra: 0.0001 (0.0025) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [27] [2310/5278] eta: 2:06:34 lr: 1.7630857131070312e-05 loss: 0.0420 (0.0450) loss_seg: 0.0446 (0.0482) loss_lansim: 0.0864 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5525 data: 0.0026 max mem: 31671 Epoch: [27] [2320/5278] eta: 2:06:08 lr: 1.762846389228992e-05 loss: 0.0415 (0.0450) loss_seg: 0.0446 (0.0482) loss_lansim: 0.0868 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5593 data: 0.0026 max mem: 31671 Epoch: [27] [2330/5278] eta: 2:05:42 lr: 1.7626070617408328e-05 loss: 0.0420 (0.0451) loss_seg: 0.0447 (0.0482) loss_lansim: 0.0857 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [27] [2340/5278] eta: 2:05:16 lr: 1.7623677306419548e-05 loss: 0.0416 (0.0451) loss_seg: 0.0446 (0.0482) loss_lansim: 0.0855 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [27] [2350/5278] eta: 2:04:50 lr: 1.762128395931758e-05 loss: 0.0416 (0.0451) loss_seg: 0.0443 (0.0483) loss_lansim: 0.0851 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [27] [2360/5278] eta: 2:04:24 lr: 1.7618890576096443e-05 loss: 0.0406 (0.0451) loss_seg: 0.0416 (0.0482) loss_lansim: 0.0844 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [27] [2370/5278] eta: 2:03:58 lr: 1.761649715675012e-05 loss: 0.0384 (0.0451) loss_seg: 0.0397 (0.0482) loss_lansim: 0.0855 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [27] [2380/5278] eta: 2:03:33 lr: 1.761410370127262e-05 loss: 0.0384 (0.0452) loss_seg: 0.0396 (0.0483) loss_lansim: 0.0855 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5494 data: 0.0025 max mem: 31671 Epoch: [27] [2390/5278] eta: 2:03:06 lr: 1.761171020965795e-05 loss: 0.0402 (0.0452) loss_seg: 0.0409 (0.0484) loss_lansim: 0.0849 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5439 data: 0.0025 max mem: 31671 Epoch: [27] [2400/5278] eta: 2:02:40 lr: 1.7609316681900108e-05 loss: 0.0408 (0.0452) loss_seg: 0.0416 (0.0484) loss_lansim: 0.0851 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [27] [2410/5278] eta: 2:02:15 lr: 1.7606923117993074e-05 loss: 0.0412 (0.0452) loss_seg: 0.0424 (0.0484) loss_lansim: 0.0859 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [27] [2420/5278] eta: 2:01:49 lr: 1.7604529517930852e-05 loss: 0.0416 (0.0452) loss_seg: 0.0450 (0.0484) loss_lansim: 0.0869 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5324 data: 0.0025 max mem: 31671 Epoch: [27] [2430/5278] eta: 2:01:23 lr: 1.7602135881707428e-05 loss: 0.0420 (0.0453) loss_seg: 0.0453 (0.0484) loss_lansim: 0.0879 (0.0878) loss_contra: 0.0000 (0.0025) time: 2.5330 data: 0.0025 max mem: 31671 Epoch: [27] [2440/5278] eta: 2:00:57 lr: 1.759974220931681e-05 loss: 0.0412 (0.0452) loss_seg: 0.0415 (0.0484) loss_lansim: 0.0871 (0.0878) loss_contra: 0.0000 (0.0025) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [27] [2450/5278] eta: 2:00:31 lr: 1.7597348500752963e-05 loss: 0.0408 (0.0453) loss_seg: 0.0427 (0.0484) loss_lansim: 0.0871 (0.0878) loss_contra: 0.0000 (0.0025) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [27] [2460/5278] eta: 2:00:06 lr: 1.759495475600988e-05 loss: 0.0408 (0.0452) loss_seg: 0.0438 (0.0484) loss_lansim: 0.0874 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [27] [2470/5278] eta: 1:59:39 lr: 1.7592560975081546e-05 loss: 0.0410 (0.0452) loss_seg: 0.0438 (0.0484) loss_lansim: 0.0863 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [27] [2480/5278] eta: 1:59:13 lr: 1.7590167157961954e-05 loss: 0.0401 (0.0452) loss_seg: 0.0415 (0.0484) loss_lansim: 0.0863 (0.0878) loss_contra: 0.0000 (0.0025) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [27] [2490/5278] eta: 1:58:47 lr: 1.7587773304645067e-05 loss: 0.0395 (0.0452) loss_seg: 0.0400 (0.0484) loss_lansim: 0.0863 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5255 data: 0.0024 max mem: 31671 Epoch: [27] [2500/5278] eta: 1:58:21 lr: 1.758537941512487e-05 loss: 0.0395 (0.0452) loss_seg: 0.0400 (0.0484) loss_lansim: 0.0867 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [27] [2510/5278] eta: 1:57:55 lr: 1.758298548939534e-05 loss: 0.0388 (0.0452) loss_seg: 0.0392 (0.0484) loss_lansim: 0.0863 (0.0877) loss_contra: 0.0000 (0.0025) time: 2.5162 data: 0.0024 max mem: 31671 Epoch: [27] [2520/5278] eta: 1:57:29 lr: 1.7580591527450453e-05 loss: 0.0388 (0.0452) loss_seg: 0.0396 (0.0484) loss_lansim: 0.0855 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5157 data: 0.0025 max mem: 31671 Epoch: [27] [2530/5278] eta: 1:57:04 lr: 1.7578197529284182e-05 loss: 0.0371 (0.0452) loss_seg: 0.0396 (0.0484) loss_lansim: 0.0863 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [27] [2540/5278] eta: 1:56:39 lr: 1.7575803494890492e-05 loss: 0.0370 (0.0452) loss_seg: 0.0396 (0.0483) loss_lansim: 0.0863 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [27] [2550/5278] eta: 1:56:14 lr: 1.7573409424263355e-05 loss: 0.0361 (0.0452) loss_seg: 0.0390 (0.0483) loss_lansim: 0.0853 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [27] [2560/5278] eta: 1:55:48 lr: 1.7571015317396743e-05 loss: 0.0389 (0.0452) loss_seg: 0.0407 (0.0484) loss_lansim: 0.0871 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [27] [2570/5278] eta: 1:55:23 lr: 1.7568621174284612e-05 loss: 0.0399 (0.0452) loss_seg: 0.0425 (0.0484) loss_lansim: 0.0870 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5553 data: 0.0025 max mem: 31671 Epoch: [27] [2580/5278] eta: 1:54:57 lr: 1.7566226994920928e-05 loss: 0.0400 (0.0452) loss_seg: 0.0425 (0.0483) loss_lansim: 0.0854 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [27] [2590/5278] eta: 1:54:31 lr: 1.7563832779299656e-05 loss: 0.0410 (0.0453) loss_seg: 0.0430 (0.0484) loss_lansim: 0.0835 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5570 data: 0.0025 max mem: 31671 Epoch: [27] [2600/5278] eta: 1:54:05 lr: 1.756143852741475e-05 loss: 0.0401 (0.0453) loss_seg: 0.0429 (0.0485) loss_lansim: 0.0813 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5520 data: 0.0025 max mem: 31671 Epoch: [27] [2610/5278] eta: 1:53:39 lr: 1.7559044239260176e-05 loss: 0.0410 (0.0453) loss_seg: 0.0430 (0.0485) loss_lansim: 0.0811 (0.0876) loss_contra: 0.0000 (0.0024) time: 2.5534 data: 0.0026 max mem: 31671 Epoch: [27] [2620/5278] eta: 1:53:12 lr: 1.7556649914829872e-05 loss: 0.0401 (0.0453) loss_seg: 0.0425 (0.0485) loss_lansim: 0.0819 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5405 data: 0.0026 max mem: 31671 Epoch: [27] [2630/5278] eta: 1:52:47 lr: 1.7554255554117806e-05 loss: 0.0401 (0.0453) loss_seg: 0.0432 (0.0485) loss_lansim: 0.0819 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5393 data: 0.0026 max mem: 31671 Epoch: [27] [2640/5278] eta: 1:52:21 lr: 1.7551861157117927e-05 loss: 0.0423 (0.0454) loss_seg: 0.0451 (0.0486) loss_lansim: 0.0819 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [27] [2650/5278] eta: 1:51:56 lr: 1.7549466723824188e-05 loss: 0.0411 (0.0454) loss_seg: 0.0441 (0.0486) loss_lansim: 0.0829 (0.0877) loss_contra: 0.0000 (0.0024) time: 2.5334 data: 0.0026 max mem: 31671 Epoch: [27] [2660/5278] eta: 1:51:31 lr: 1.7547072254230526e-05 loss: 0.0410 (0.0454) loss_seg: 0.0432 (0.0486) loss_lansim: 0.0812 (0.0876) loss_contra: 0.0000 (0.0024) time: 2.5450 data: 0.0026 max mem: 31671 Epoch: [27] [2670/5278] eta: 1:51:06 lr: 1.754467774833089e-05 loss: 0.0410 (0.0454) loss_seg: 0.0433 (0.0486) loss_lansim: 0.0819 (0.0876) loss_contra: 0.0000 (0.0025) time: 2.5450 data: 0.0026 max mem: 31671 Epoch: [27] [2680/5278] eta: 1:50:41 lr: 1.7542283206119227e-05 loss: 0.0410 (0.0455) loss_seg: 0.0450 (0.0487) loss_lansim: 0.0819 (0.0876) loss_contra: 0.0000 (0.0025) time: 2.5561 data: 0.0025 max mem: 31671 Epoch: [27] [2690/5278] eta: 1:50:16 lr: 1.7539888627589484e-05 loss: 0.0410 (0.0455) loss_seg: 0.0437 (0.0487) loss_lansim: 0.0819 (0.0876) loss_contra: 0.0000 (0.0025) time: 2.5570 data: 0.0025 max mem: 31671 Epoch: [27] [2700/5278] eta: 1:49:50 lr: 1.753749401273559e-05 loss: 0.0410 (0.0455) loss_seg: 0.0437 (0.0487) loss_lansim: 0.0835 (0.0876) loss_contra: 0.0000 (0.0025) time: 2.5597 data: 0.0026 max mem: 31671 Epoch: [27] [2710/5278] eta: 1:49:24 lr: 1.7535099361551485e-05 loss: 0.0410 (0.0455) loss_seg: 0.0437 (0.0486) loss_lansim: 0.0835 (0.0875) loss_contra: 0.0000 (0.0025) time: 2.5688 data: 0.0026 max mem: 31671 Epoch: [27] [2720/5278] eta: 1:48:59 lr: 1.753270467403111e-05 loss: 0.0417 (0.0455) loss_seg: 0.0451 (0.0487) loss_lansim: 0.0829 (0.0875) loss_contra: 0.0001 (0.0025) time: 2.5809 data: 0.0025 max mem: 31671 Epoch: [27] [2730/5278] eta: 1:48:34 lr: 1.75303099501684e-05 loss: 0.0409 (0.0455) loss_seg: 0.0435 (0.0487) loss_lansim: 0.0814 (0.0875) loss_contra: 0.0001 (0.0025) time: 2.5823 data: 0.0025 max mem: 31671 Epoch: [27] [2740/5278] eta: 1:48:08 lr: 1.7527915189957282e-05 loss: 0.0389 (0.0454) loss_seg: 0.0422 (0.0486) loss_lansim: 0.0801 (0.0875) loss_contra: 0.0001 (0.0025) time: 2.5823 data: 0.0025 max mem: 31671 Epoch: [27] [2750/5278] eta: 1:47:42 lr: 1.7525520393391684e-05 loss: 0.0389 (0.0454) loss_seg: 0.0421 (0.0486) loss_lansim: 0.0804 (0.0875) loss_contra: 0.0001 (0.0025) time: 2.5692 data: 0.0025 max mem: 31671 Epoch: [27] [2760/5278] eta: 1:47:16 lr: 1.752312556046554e-05 loss: 0.0384 (0.0454) loss_seg: 0.0413 (0.0486) loss_lansim: 0.0810 (0.0875) loss_contra: 0.0001 (0.0025) time: 2.5618 data: 0.0025 max mem: 31671 Epoch: [27] [2770/5278] eta: 1:46:50 lr: 1.7520730691172778e-05 loss: 0.0384 (0.0455) loss_seg: 0.0412 (0.0486) loss_lansim: 0.0809 (0.0874) loss_contra: 0.0001 (0.0025) time: 2.5511 data: 0.0025 max mem: 31671 Epoch: [27] [2780/5278] eta: 1:46:24 lr: 1.7518335785507314e-05 loss: 0.0369 (0.0454) loss_seg: 0.0391 (0.0486) loss_lansim: 0.0807 (0.0874) loss_contra: 0.0001 (0.0025) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [27] [2790/5278] eta: 1:45:58 lr: 1.751594084346308e-05 loss: 0.0355 (0.0454) loss_seg: 0.0390 (0.0486) loss_lansim: 0.0807 (0.0874) loss_contra: 0.0001 (0.0025) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [27] [2800/5278] eta: 1:45:33 lr: 1.7513545865033987e-05 loss: 0.0345 (0.0454) loss_seg: 0.0372 (0.0486) loss_lansim: 0.0820 (0.0874) loss_contra: 0.0000 (0.0025) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [27] [2810/5278] eta: 1:45:07 lr: 1.7511150850213965e-05 loss: 0.0345 (0.0454) loss_seg: 0.0372 (0.0486) loss_lansim: 0.0820 (0.0874) loss_contra: 0.0001 (0.0025) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [27] [2820/5278] eta: 1:44:41 lr: 1.750875579899692e-05 loss: 0.0345 (0.0454) loss_seg: 0.0368 (0.0485) loss_lansim: 0.0827 (0.0874) loss_contra: 0.0000 (0.0025) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [27] [2830/5278] eta: 1:44:15 lr: 1.750636071137677e-05 loss: 0.0346 (0.0454) loss_seg: 0.0368 (0.0486) loss_lansim: 0.0822 (0.0873) loss_contra: 0.0000 (0.0025) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [27] [2840/5278] eta: 1:43:49 lr: 1.750396558734743e-05 loss: 0.0344 (0.0454) loss_seg: 0.0364 (0.0486) loss_lansim: 0.0834 (0.0873) loss_contra: 0.0000 (0.0025) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [27] [2850/5278] eta: 1:43:23 lr: 1.750157042690281e-05 loss: 0.0342 (0.0454) loss_seg: 0.0366 (0.0486) loss_lansim: 0.0834 (0.0873) loss_contra: 0.0000 (0.0025) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [27] [2860/5278] eta: 1:42:57 lr: 1.749917523003682e-05 loss: 0.0355 (0.0454) loss_seg: 0.0379 (0.0486) loss_lansim: 0.0827 (0.0873) loss_contra: 0.0000 (0.0025) time: 2.5113 data: 0.0025 max mem: 31671 Epoch: [27] [2870/5278] eta: 1:42:31 lr: 1.7496779996743362e-05 loss: 0.0347 (0.0455) loss_seg: 0.0379 (0.0486) loss_lansim: 0.0827 (0.0873) loss_contra: 0.0000 (0.0025) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [27] [2880/5278] eta: 1:42:05 lr: 1.7494384727016343e-05 loss: 0.0385 (0.0455) loss_seg: 0.0408 (0.0487) loss_lansim: 0.0834 (0.0873) loss_contra: 0.0000 (0.0025) time: 2.5124 data: 0.0025 max mem: 31671 Epoch: [27] [2890/5278] eta: 1:41:39 lr: 1.749198942084967e-05 loss: 0.0387 (0.0454) loss_seg: 0.0420 (0.0486) loss_lansim: 0.0820 (0.0872) loss_contra: 0.0000 (0.0025) time: 2.5164 data: 0.0025 max mem: 31671 Epoch: [27] [2900/5278] eta: 1:41:13 lr: 1.7489594078237245e-05 loss: 0.0393 (0.0455) loss_seg: 0.0428 (0.0486) loss_lansim: 0.0820 (0.0872) loss_contra: 0.0000 (0.0024) time: 2.5083 data: 0.0025 max mem: 31671 Epoch: [27] [2910/5278] eta: 1:40:47 lr: 1.7487198699172957e-05 loss: 0.0392 (0.0455) loss_seg: 0.0425 (0.0486) loss_lansim: 0.0837 (0.0873) loss_contra: 0.0000 (0.0024) time: 2.5083 data: 0.0025 max mem: 31671 Epoch: [27] [2920/5278] eta: 1:40:22 lr: 1.748480328365071e-05 loss: 0.0389 (0.0455) loss_seg: 0.0425 (0.0486) loss_lansim: 0.0836 (0.0873) loss_contra: 0.0000 (0.0024) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [27] [2930/5278] eta: 1:39:56 lr: 1.74824078316644e-05 loss: 0.0389 (0.0455) loss_seg: 0.0425 (0.0486) loss_lansim: 0.0842 (0.0873) loss_contra: 0.0000 (0.0024) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [27] [2940/5278] eta: 1:39:31 lr: 1.7480012343207926e-05 loss: 0.0389 (0.0454) loss_seg: 0.0425 (0.0486) loss_lansim: 0.0850 (0.0873) loss_contra: 0.0000 (0.0024) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [27] [2950/5278] eta: 1:39:05 lr: 1.7477616818275166e-05 loss: 0.0387 (0.0454) loss_seg: 0.0421 (0.0486) loss_lansim: 0.0850 (0.0873) loss_contra: 0.0000 (0.0024) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [27] [2960/5278] eta: 1:38:39 lr: 1.7475221256860013e-05 loss: 0.0379 (0.0454) loss_seg: 0.0412 (0.0486) loss_lansim: 0.0852 (0.0873) loss_contra: 0.0000 (0.0024) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [27] [2970/5278] eta: 1:38:14 lr: 1.747282565895636e-05 loss: 0.0385 (0.0454) loss_seg: 0.0412 (0.0486) loss_lansim: 0.0851 (0.0872) loss_contra: 0.0000 (0.0024) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [27] [2980/5278] eta: 1:37:48 lr: 1.7470430024558097e-05 loss: 0.0376 (0.0454) loss_seg: 0.0409 (0.0485) loss_lansim: 0.0847 (0.0872) loss_contra: 0.0000 (0.0024) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [27] [2990/5278] eta: 1:37:22 lr: 1.746803435365909e-05 loss: 0.0387 (0.0454) loss_seg: 0.0412 (0.0486) loss_lansim: 0.0851 (0.0872) loss_contra: 0.0000 (0.0024) time: 2.5299 data: 0.0025 max mem: 31671 Epoch: [27] [3000/5278] eta: 1:36:56 lr: 1.7465638646253235e-05 loss: 0.0387 (0.0454) loss_seg: 0.0412 (0.0486) loss_lansim: 0.0850 (0.0872) loss_contra: 0.0000 (0.0024) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [27] [3010/5278] eta: 1:36:31 lr: 1.7463242902334408e-05 loss: 0.0379 (0.0454) loss_seg: 0.0406 (0.0486) loss_lansim: 0.0847 (0.0872) loss_contra: 0.0000 (0.0024) time: 2.5349 data: 0.0024 max mem: 31671 Epoch: [27] [3020/5278] eta: 1:36:05 lr: 1.7460847121896487e-05 loss: 0.0373 (0.0454) loss_seg: 0.0399 (0.0486) loss_lansim: 0.0838 (0.0872) loss_contra: 0.0000 (0.0024) time: 2.5329 data: 0.0024 max mem: 31671 Epoch: [27] [3030/5278] eta: 1:35:40 lr: 1.7458451304933343e-05 loss: 0.0373 (0.0454) loss_seg: 0.0399 (0.0486) loss_lansim: 0.0838 (0.0872) loss_contra: 0.0000 (0.0024) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [27] [3040/5278] eta: 1:35:14 lr: 1.7456055451438854e-05 loss: 0.0373 (0.0454) loss_seg: 0.0399 (0.0485) loss_lansim: 0.0829 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5435 data: 0.0024 max mem: 31671 Epoch: [27] [3050/5278] eta: 1:34:48 lr: 1.745365956140689e-05 loss: 0.0388 (0.0454) loss_seg: 0.0426 (0.0486) loss_lansim: 0.0829 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [27] [3060/5278] eta: 1:34:23 lr: 1.745126363483133e-05 loss: 0.0388 (0.0454) loss_seg: 0.0426 (0.0485) loss_lansim: 0.0822 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5458 data: 0.0024 max mem: 31671 Epoch: [27] [3070/5278] eta: 1:33:57 lr: 1.7448867671706026e-05 loss: 0.0388 (0.0454) loss_seg: 0.0399 (0.0485) loss_lansim: 0.0824 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5359 data: 0.0024 max mem: 31671 Epoch: [27] [3080/5278] eta: 1:33:31 lr: 1.744647167202485e-05 loss: 0.0380 (0.0453) loss_seg: 0.0390 (0.0485) loss_lansim: 0.0832 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5328 data: 0.0024 max mem: 31671 Epoch: [27] [3090/5278] eta: 1:33:05 lr: 1.7444075635781673e-05 loss: 0.0380 (0.0453) loss_seg: 0.0388 (0.0485) loss_lansim: 0.0825 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [27] [3100/5278] eta: 1:32:40 lr: 1.7441679562970347e-05 loss: 0.0383 (0.0453) loss_seg: 0.0397 (0.0485) loss_lansim: 0.0825 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [27] [3110/5278] eta: 1:32:15 lr: 1.7439283453584745e-05 loss: 0.0388 (0.0453) loss_seg: 0.0422 (0.0485) loss_lansim: 0.0822 (0.0871) loss_contra: 0.0000 (0.0023) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [27] [3120/5278] eta: 1:31:49 lr: 1.7436887307618707e-05 loss: 0.0384 (0.0453) loss_seg: 0.0418 (0.0485) loss_lansim: 0.0832 (0.0871) loss_contra: 0.0000 (0.0023) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [27] [3130/5278] eta: 1:31:24 lr: 1.74344911250661e-05 loss: 0.0383 (0.0453) loss_seg: 0.0417 (0.0485) loss_lansim: 0.0825 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [27] [3140/5278] eta: 1:30:58 lr: 1.7432094905920777e-05 loss: 0.0383 (0.0453) loss_seg: 0.0417 (0.0485) loss_lansim: 0.0822 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [27] [3150/5278] eta: 1:30:32 lr: 1.7429698650176596e-05 loss: 0.0378 (0.0453) loss_seg: 0.0405 (0.0485) loss_lansim: 0.0827 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [27] [3160/5278] eta: 1:30:06 lr: 1.7427302357827395e-05 loss: 0.0370 (0.0453) loss_seg: 0.0397 (0.0485) loss_lansim: 0.0833 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [27] [3170/5278] eta: 1:29:41 lr: 1.7424906028867025e-05 loss: 0.0362 (0.0453) loss_seg: 0.0389 (0.0485) loss_lansim: 0.0833 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [27] [3180/5278] eta: 1:29:15 lr: 1.742250966328934e-05 loss: 0.0372 (0.0453) loss_seg: 0.0405 (0.0485) loss_lansim: 0.0854 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5346 data: 0.0025 max mem: 31671 Epoch: [27] [3190/5278] eta: 1:28:49 lr: 1.7420113261088177e-05 loss: 0.0370 (0.0452) loss_seg: 0.0404 (0.0484) loss_lansim: 0.0860 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [27] [3200/5278] eta: 1:28:24 lr: 1.741771682225738e-05 loss: 0.0369 (0.0452) loss_seg: 0.0398 (0.0484) loss_lansim: 0.0854 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [27] [3210/5278] eta: 1:27:58 lr: 1.741532034679079e-05 loss: 0.0358 (0.0452) loss_seg: 0.0391 (0.0484) loss_lansim: 0.0852 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5322 data: 0.0025 max mem: 31671 Epoch: [27] [3220/5278] eta: 1:27:32 lr: 1.7412923834682245e-05 loss: 0.0358 (0.0452) loss_seg: 0.0391 (0.0484) loss_lansim: 0.0851 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [27] [3230/5278] eta: 1:27:07 lr: 1.7410527285925583e-05 loss: 0.0362 (0.0452) loss_seg: 0.0396 (0.0484) loss_lansim: 0.0852 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [27] [3240/5278] eta: 1:26:41 lr: 1.7408130700514634e-05 loss: 0.0362 (0.0452) loss_seg: 0.0396 (0.0484) loss_lansim: 0.0860 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [27] [3250/5278] eta: 1:26:16 lr: 1.7405734078443228e-05 loss: 0.0364 (0.0452) loss_seg: 0.0398 (0.0484) loss_lansim: 0.0848 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [27] [3260/5278] eta: 1:25:50 lr: 1.7403337419705203e-05 loss: 0.0368 (0.0452) loss_seg: 0.0399 (0.0483) loss_lansim: 0.0848 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5396 data: 0.0025 max mem: 31671 Epoch: [27] [3270/5278] eta: 1:25:25 lr: 1.7400940724294394e-05 loss: 0.0375 (0.0452) loss_seg: 0.0402 (0.0484) loss_lansim: 0.0852 (0.0870) loss_contra: 0.0001 (0.0024) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [27] [3280/5278] eta: 1:24:59 lr: 1.7398543992204607e-05 loss: 0.0367 (0.0452) loss_seg: 0.0399 (0.0483) loss_lansim: 0.0837 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [27] [3290/5278] eta: 1:24:34 lr: 1.739614722342968e-05 loss: 0.0367 (0.0451) loss_seg: 0.0400 (0.0483) loss_lansim: 0.0836 (0.0870) loss_contra: 0.0001 (0.0023) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [27] [3300/5278] eta: 1:24:08 lr: 1.7393750417963427e-05 loss: 0.0364 (0.0452) loss_seg: 0.0399 (0.0484) loss_lansim: 0.0837 (0.0870) loss_contra: 0.0001 (0.0023) time: 2.5444 data: 0.0025 max mem: 31671 Epoch: [27] [3310/5278] eta: 1:23:43 lr: 1.7391353575799685e-05 loss: 0.0373 (0.0451) loss_seg: 0.0402 (0.0483) loss_lansim: 0.0838 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5522 data: 0.0026 max mem: 31671 Epoch: [27] [3320/5278] eta: 1:23:17 lr: 1.7388956696932253e-05 loss: 0.0382 (0.0451) loss_seg: 0.0405 (0.0483) loss_lansim: 0.0839 (0.0869) loss_contra: 0.0001 (0.0024) time: 2.5498 data: 0.0026 max mem: 31671 Epoch: [27] [3330/5278] eta: 1:22:51 lr: 1.738655978135496e-05 loss: 0.0385 (0.0452) loss_seg: 0.0419 (0.0483) loss_lansim: 0.0837 (0.0869) loss_contra: 0.0000 (0.0024) time: 2.5550 data: 0.0026 max mem: 31671 Epoch: [27] [3340/5278] eta: 1:22:26 lr: 1.7384162829061613e-05 loss: 0.0387 (0.0452) loss_seg: 0.0422 (0.0484) loss_lansim: 0.0837 (0.0869) loss_contra: 0.0001 (0.0023) time: 2.5498 data: 0.0026 max mem: 31671 Epoch: [27] [3350/5278] eta: 1:22:01 lr: 1.7381765840046028e-05 loss: 0.0403 (0.0452) loss_seg: 0.0422 (0.0483) loss_lansim: 0.0837 (0.0869) loss_contra: 0.0001 (0.0023) time: 2.5584 data: 0.0026 max mem: 31671 Epoch: [27] [3360/5278] eta: 1:21:35 lr: 1.737936881430202e-05 loss: 0.0412 (0.0452) loss_seg: 0.0442 (0.0484) loss_lansim: 0.0833 (0.0869) loss_contra: 0.0001 (0.0023) time: 2.5522 data: 0.0025 max mem: 31671 Epoch: [27] [3370/5278] eta: 1:21:10 lr: 1.737697175182339e-05 loss: 0.0410 (0.0452) loss_seg: 0.0442 (0.0484) loss_lansim: 0.0826 (0.0869) loss_contra: 0.0001 (0.0023) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [27] [3380/5278] eta: 1:20:43 lr: 1.737457465260394e-05 loss: 0.0410 (0.0452) loss_seg: 0.0442 (0.0484) loss_lansim: 0.0833 (0.0869) loss_contra: 0.0001 (0.0023) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [27] [3390/5278] eta: 1:20:18 lr: 1.7372177516637487e-05 loss: 0.0414 (0.0452) loss_seg: 0.0449 (0.0484) loss_lansim: 0.0836 (0.0869) loss_contra: 0.0001 (0.0023) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [27] [3400/5278] eta: 1:19:52 lr: 1.7369780343917833e-05 loss: 0.0414 (0.0452) loss_seg: 0.0449 (0.0484) loss_lansim: 0.0843 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5360 data: 0.0026 max mem: 31671 Epoch: [27] [3410/5278] eta: 1:19:27 lr: 1.7367383134438768e-05 loss: 0.0409 (0.0451) loss_seg: 0.0441 (0.0483) loss_lansim: 0.0836 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5354 data: 0.0026 max mem: 31671 Epoch: [27] [3420/5278] eta: 1:19:01 lr: 1.7364985888194093e-05 loss: 0.0410 (0.0452) loss_seg: 0.0442 (0.0484) loss_lansim: 0.0843 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [27] [3430/5278] eta: 1:18:35 lr: 1.736258860517761e-05 loss: 0.0403 (0.0452) loss_seg: 0.0428 (0.0483) loss_lansim: 0.0848 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5378 data: 0.0026 max mem: 31671 Epoch: [27] [3440/5278] eta: 1:18:10 lr: 1.736019128538312e-05 loss: 0.0389 (0.0451) loss_seg: 0.0418 (0.0483) loss_lansim: 0.0849 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [27] [3450/5278] eta: 1:17:44 lr: 1.7357793928804396e-05 loss: 0.0393 (0.0451) loss_seg: 0.0422 (0.0483) loss_lansim: 0.0855 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5320 data: 0.0026 max mem: 31671 Epoch: [27] [3460/5278] eta: 1:17:19 lr: 1.735539653543524e-05 loss: 0.0385 (0.0452) loss_seg: 0.0417 (0.0484) loss_lansim: 0.0855 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [27] [3470/5278] eta: 1:16:53 lr: 1.735299910526944e-05 loss: 0.0385 (0.0452) loss_seg: 0.0417 (0.0484) loss_lansim: 0.0861 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5320 data: 0.0026 max mem: 31671 Epoch: [27] [3480/5278] eta: 1:16:28 lr: 1.735060163830079e-05 loss: 0.0381 (0.0452) loss_seg: 0.0394 (0.0484) loss_lansim: 0.0864 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [27] [3490/5278] eta: 1:16:02 lr: 1.7348204134523057e-05 loss: 0.0356 (0.0452) loss_seg: 0.0384 (0.0484) loss_lansim: 0.0864 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [27] [3500/5278] eta: 1:15:36 lr: 1.7345806593930035e-05 loss: 0.0391 (0.0453) loss_seg: 0.0414 (0.0485) loss_lansim: 0.0870 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [27] [3510/5278] eta: 1:15:11 lr: 1.73434090165155e-05 loss: 0.0400 (0.0452) loss_seg: 0.0417 (0.0484) loss_lansim: 0.0869 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [27] [3520/5278] eta: 1:14:45 lr: 1.7341011402273245e-05 loss: 0.0391 (0.0452) loss_seg: 0.0408 (0.0484) loss_lansim: 0.0859 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5514 data: 0.0025 max mem: 31671 Epoch: [27] [3530/5278] eta: 1:14:20 lr: 1.7338613751197023e-05 loss: 0.0395 (0.0452) loss_seg: 0.0406 (0.0484) loss_lansim: 0.0855 (0.0869) loss_contra: 0.0000 (0.0023) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [27] [3540/5278] eta: 1:13:55 lr: 1.733621606328062e-05 loss: 0.0391 (0.0452) loss_seg: 0.0403 (0.0484) loss_lansim: 0.0845 (0.0868) loss_contra: 0.0000 (0.0023) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [27] [3550/5278] eta: 1:13:30 lr: 1.733381833851781e-05 loss: 0.0370 (0.0452) loss_seg: 0.0394 (0.0484) loss_lansim: 0.0842 (0.0868) loss_contra: 0.0000 (0.0023) time: 2.5706 data: 0.0025 max mem: 31671 Epoch: [27] [3560/5278] eta: 1:13:05 lr: 1.733142057690237e-05 loss: 0.0370 (0.0452) loss_seg: 0.0385 (0.0483) loss_lansim: 0.0845 (0.0868) loss_contra: 0.0000 (0.0024) time: 2.5767 data: 0.0026 max mem: 31671 Epoch: [27] [3570/5278] eta: 1:12:39 lr: 1.732902277842805e-05 loss: 0.0367 (0.0453) loss_seg: 0.0381 (0.0485) loss_lansim: 0.0840 (0.0868) loss_contra: 0.0000 (0.0024) time: 2.5766 data: 0.0026 max mem: 31671 Epoch: [27] [3580/5278] eta: 1:12:14 lr: 1.7326624943088628e-05 loss: 0.0367 (0.0453) loss_seg: 0.0381 (0.0485) loss_lansim: 0.0828 (0.0868) loss_contra: 0.0000 (0.0024) time: 2.5864 data: 0.0026 max mem: 31671 Epoch: [27] [3590/5278] eta: 1:11:49 lr: 1.732422707087787e-05 loss: 0.0370 (0.0453) loss_seg: 0.0385 (0.0486) loss_lansim: 0.0844 (0.0868) loss_contra: 0.0000 (0.0024) time: 2.5940 data: 0.0026 max mem: 31671 Epoch: [27] [3600/5278] eta: 1:11:23 lr: 1.7321829161789534e-05 loss: 0.0342 (0.0453) loss_seg: 0.0361 (0.0485) loss_lansim: 0.0832 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5967 data: 0.0026 max mem: 31671 Epoch: [27] [3610/5278] eta: 1:10:58 lr: 1.731943121581738e-05 loss: 0.0340 (0.0453) loss_seg: 0.0361 (0.0485) loss_lansim: 0.0838 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5885 data: 0.0026 max mem: 31671 Epoch: [27] [3620/5278] eta: 1:10:32 lr: 1.7317033232955173e-05 loss: 0.0338 (0.0453) loss_seg: 0.0361 (0.0485) loss_lansim: 0.0835 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5963 data: 0.0026 max mem: 31671 Epoch: [27] [3630/5278] eta: 1:10:07 lr: 1.7314635213196662e-05 loss: 0.0334 (0.0453) loss_seg: 0.0354 (0.0485) loss_lansim: 0.0839 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5845 data: 0.0026 max mem: 31671 Epoch: [27] [3640/5278] eta: 1:09:41 lr: 1.7312237156535603e-05 loss: 0.0340 (0.0453) loss_seg: 0.0368 (0.0485) loss_lansim: 0.0844 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5785 data: 0.0026 max mem: 31671 Epoch: [27] [3650/5278] eta: 1:09:16 lr: 1.7309839062965754e-05 loss: 0.0340 (0.0453) loss_seg: 0.0368 (0.0485) loss_lansim: 0.0856 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5684 data: 0.0026 max mem: 31671 Epoch: [27] [3660/5278] eta: 1:08:50 lr: 1.7307440932480854e-05 loss: 0.0360 (0.0452) loss_seg: 0.0372 (0.0485) loss_lansim: 0.0846 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5665 data: 0.0026 max mem: 31671 Epoch: [27] [3670/5278] eta: 1:08:25 lr: 1.7305042765074662e-05 loss: 0.0362 (0.0452) loss_seg: 0.0389 (0.0485) loss_lansim: 0.0856 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5655 data: 0.0025 max mem: 31671 Epoch: [27] [3680/5278] eta: 1:07:59 lr: 1.7302644560740917e-05 loss: 0.0363 (0.0452) loss_seg: 0.0393 (0.0485) loss_lansim: 0.0856 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5584 data: 0.0025 max mem: 31671 Epoch: [27] [3690/5278] eta: 1:07:34 lr: 1.730024631947337e-05 loss: 0.0363 (0.0452) loss_seg: 0.0393 (0.0485) loss_lansim: 0.0851 (0.0868) loss_contra: 0.0001 (0.0027) time: 2.5588 data: 0.0025 max mem: 31671 Epoch: [27] [3700/5278] eta: 1:07:09 lr: 1.7297848041265755e-05 loss: 0.0363 (0.0452) loss_seg: 0.0393 (0.0485) loss_lansim: 0.0854 (0.0868) loss_contra: 0.0000 (0.0027) time: 2.5715 data: 0.0025 max mem: 31671 Epoch: [27] [3710/5278] eta: 1:06:43 lr: 1.729544972611182e-05 loss: 0.0368 (0.0452) loss_seg: 0.0402 (0.0485) loss_lansim: 0.0856 (0.0868) loss_contra: 0.0000 (0.0026) time: 2.5688 data: 0.0025 max mem: 31671 Epoch: [27] [3720/5278] eta: 1:06:17 lr: 1.7293051374005295e-05 loss: 0.0377 (0.0452) loss_seg: 0.0403 (0.0484) loss_lansim: 0.0853 (0.0868) loss_contra: 0.0000 (0.0026) time: 2.5634 data: 0.0025 max mem: 31671 Epoch: [27] [3730/5278] eta: 1:05:52 lr: 1.729065298493993e-05 loss: 0.0378 (0.0452) loss_seg: 0.0402 (0.0484) loss_lansim: 0.0850 (0.0868) loss_contra: 0.0000 (0.0026) time: 2.5660 data: 0.0025 max mem: 31671 Epoch: [27] [3740/5278] eta: 1:05:26 lr: 1.728825455890944e-05 loss: 0.0381 (0.0452) loss_seg: 0.0415 (0.0484) loss_lansim: 0.0850 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5632 data: 0.0025 max mem: 31671 Epoch: [27] [3750/5278] eta: 1:05:01 lr: 1.7285856095907572e-05 loss: 0.0381 (0.0452) loss_seg: 0.0409 (0.0484) loss_lansim: 0.0840 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5678 data: 0.0025 max mem: 31671 Epoch: [27] [3760/5278] eta: 1:04:35 lr: 1.728345759592805e-05 loss: 0.0378 (0.0453) loss_seg: 0.0399 (0.0485) loss_lansim: 0.0840 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [27] [3770/5278] eta: 1:04:10 lr: 1.7281059058964604e-05 loss: 0.0358 (0.0452) loss_seg: 0.0388 (0.0485) loss_lansim: 0.0831 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5630 data: 0.0026 max mem: 31671 Epoch: [27] [3780/5278] eta: 1:03:44 lr: 1.727866048501096e-05 loss: 0.0362 (0.0453) loss_seg: 0.0389 (0.0485) loss_lansim: 0.0825 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5638 data: 0.0026 max mem: 31671 Epoch: [27] [3790/5278] eta: 1:03:19 lr: 1.7276261874060836e-05 loss: 0.0374 (0.0453) loss_seg: 0.0393 (0.0485) loss_lansim: 0.0825 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5620 data: 0.0026 max mem: 31671 Epoch: [27] [3800/5278] eta: 1:02:53 lr: 1.727386322610796e-05 loss: 0.0374 (0.0453) loss_seg: 0.0393 (0.0485) loss_lansim: 0.0831 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5555 data: 0.0026 max mem: 31671 Epoch: [27] [3810/5278] eta: 1:02:28 lr: 1.727146454114606e-05 loss: 0.0381 (0.0453) loss_seg: 0.0396 (0.0485) loss_lansim: 0.0831 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5636 data: 0.0026 max mem: 31671 Epoch: [27] [3820/5278] eta: 1:02:03 lr: 1.7269065819168838e-05 loss: 0.0383 (0.0453) loss_seg: 0.0407 (0.0485) loss_lansim: 0.0831 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5737 data: 0.0026 max mem: 31671 Epoch: [27] [3830/5278] eta: 1:01:37 lr: 1.7266667060170014e-05 loss: 0.0397 (0.0453) loss_seg: 0.0419 (0.0485) loss_lansim: 0.0825 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5706 data: 0.0026 max mem: 31671 Epoch: [27] [3840/5278] eta: 1:01:12 lr: 1.7264268264143304e-05 loss: 0.0397 (0.0453) loss_seg: 0.0419 (0.0485) loss_lansim: 0.0820 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5657 data: 0.0026 max mem: 31671 Epoch: [27] [3850/5278] eta: 1:00:46 lr: 1.7261869431082423e-05 loss: 0.0395 (0.0452) loss_seg: 0.0419 (0.0484) loss_lansim: 0.0820 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5619 data: 0.0026 max mem: 31671 Epoch: [27] [3860/5278] eta: 1:00:20 lr: 1.7259470560981082e-05 loss: 0.0395 (0.0452) loss_seg: 0.0419 (0.0484) loss_lansim: 0.0820 (0.0866) loss_contra: 0.0001 (0.0026) time: 2.5619 data: 0.0026 max mem: 31671 Epoch: [27] [3870/5278] eta: 0:59:55 lr: 1.7257071653832977e-05 loss: 0.0395 (0.0452) loss_seg: 0.0419 (0.0484) loss_lansim: 0.0816 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5562 data: 0.0026 max mem: 31671 Epoch: [27] [3880/5278] eta: 0:59:29 lr: 1.7254672709631822e-05 loss: 0.0381 (0.0452) loss_seg: 0.0411 (0.0484) loss_lansim: 0.0820 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5537 data: 0.0026 max mem: 31671 Epoch: [27] [3890/5278] eta: 0:59:04 lr: 1.725227372837132e-05 loss: 0.0367 (0.0452) loss_seg: 0.0400 (0.0483) loss_lansim: 0.0818 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5571 data: 0.0026 max mem: 31671 Epoch: [27] [3900/5278] eta: 0:58:38 lr: 1.7249874710045176e-05 loss: 0.0365 (0.0451) loss_seg: 0.0399 (0.0483) loss_lansim: 0.0818 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5497 data: 0.0026 max mem: 31671 Epoch: [27] [3910/5278] eta: 0:58:13 lr: 1.7247475654647084e-05 loss: 0.0365 (0.0452) loss_seg: 0.0385 (0.0484) loss_lansim: 0.0816 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5508 data: 0.0027 max mem: 31671 Epoch: [27] [3920/5278] eta: 0:57:47 lr: 1.724507656217074e-05 loss: 0.0372 (0.0452) loss_seg: 0.0399 (0.0484) loss_lansim: 0.0806 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5391 data: 0.0027 max mem: 31671 Epoch: [27] [3930/5278] eta: 0:57:21 lr: 1.7242677432609844e-05 loss: 0.0373 (0.0452) loss_seg: 0.0385 (0.0484) loss_lansim: 0.0816 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5366 data: 0.0027 max mem: 31671 Epoch: [27] [3940/5278] eta: 0:56:56 lr: 1.724027826595809e-05 loss: 0.0372 (0.0452) loss_seg: 0.0381 (0.0484) loss_lansim: 0.0806 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5488 data: 0.0027 max mem: 31671 Epoch: [27] [3950/5278] eta: 0:56:31 lr: 1.7237879062209165e-05 loss: 0.0372 (0.0452) loss_seg: 0.0381 (0.0484) loss_lansim: 0.0807 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5559 data: 0.0027 max mem: 31671 Epoch: [27] [3960/5278] eta: 0:56:05 lr: 1.723547982135676e-05 loss: 0.0372 (0.0452) loss_seg: 0.0381 (0.0484) loss_lansim: 0.0812 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5613 data: 0.0027 max mem: 31671 Epoch: [27] [3970/5278] eta: 0:55:40 lr: 1.7233080543394558e-05 loss: 0.0381 (0.0452) loss_seg: 0.0381 (0.0484) loss_lansim: 0.0811 (0.0865) loss_contra: 0.0000 (0.0026) time: 2.5673 data: 0.0027 max mem: 31671 Epoch: [27] [3980/5278] eta: 0:55:14 lr: 1.723068122831626e-05 loss: 0.0385 (0.0452) loss_seg: 0.0408 (0.0484) loss_lansim: 0.0812 (0.0866) loss_contra: 0.0000 (0.0025) time: 2.5744 data: 0.0026 max mem: 31671 Epoch: [27] [3990/5278] eta: 0:54:49 lr: 1.722828187611553e-05 loss: 0.0395 (0.0452) loss_seg: 0.0424 (0.0484) loss_lansim: 0.0813 (0.0866) loss_contra: 0.0000 (0.0025) time: 2.5638 data: 0.0026 max mem: 31671 Epoch: [27] [4000/5278] eta: 0:54:23 lr: 1.7225882486786055e-05 loss: 0.0405 (0.0452) loss_seg: 0.0431 (0.0484) loss_lansim: 0.0815 (0.0866) loss_contra: 0.0000 (0.0025) time: 2.5678 data: 0.0026 max mem: 31671 Epoch: [27] [4010/5278] eta: 0:53:58 lr: 1.7223483060321515e-05 loss: 0.0397 (0.0452) loss_seg: 0.0430 (0.0484) loss_lansim: 0.0826 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5624 data: 0.0025 max mem: 31671 Epoch: [27] [4020/5278] eta: 0:53:32 lr: 1.7221083596715596e-05 loss: 0.0395 (0.0452) loss_seg: 0.0416 (0.0484) loss_lansim: 0.0834 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [27] [4030/5278] eta: 0:53:07 lr: 1.721868409596196e-05 loss: 0.0405 (0.0452) loss_seg: 0.0423 (0.0484) loss_lansim: 0.0827 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5778 data: 0.0025 max mem: 31671 Epoch: [27] [4040/5278] eta: 0:52:41 lr: 1.7216284558054284e-05 loss: 0.0406 (0.0452) loss_seg: 0.0431 (0.0484) loss_lansim: 0.0846 (0.0866) loss_contra: 0.0001 (0.0025) time: 2.5744 data: 0.0025 max mem: 31671 Epoch: [27] [4050/5278] eta: 0:52:16 lr: 1.7213884982986236e-05 loss: 0.0397 (0.0453) loss_seg: 0.0425 (0.0485) loss_lansim: 0.0857 (0.0866) loss_contra: 0.0000 (0.0025) time: 2.5671 data: 0.0025 max mem: 31671 Epoch: [27] [4060/5278] eta: 0:51:50 lr: 1.7211485370751496e-05 loss: 0.0408 (0.0453) loss_seg: 0.0435 (0.0485) loss_lansim: 0.0863 (0.0866) loss_contra: 0.0000 (0.0025) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [27] [4070/5278] eta: 0:51:25 lr: 1.7209085721343714e-05 loss: 0.0408 (0.0452) loss_seg: 0.0435 (0.0484) loss_lansim: 0.0867 (0.0865) loss_contra: 0.0001 (0.0025) time: 2.5788 data: 0.0026 max mem: 31671 Epoch: [27] [4080/5278] eta: 0:51:00 lr: 1.7206686034756568e-05 loss: 0.0410 (0.0452) loss_seg: 0.0435 (0.0484) loss_lansim: 0.0857 (0.0865) loss_contra: 0.0001 (0.0026) time: 2.5757 data: 0.0026 max mem: 31671 Epoch: [27] [4090/5278] eta: 0:50:34 lr: 1.720428631098371e-05 loss: 0.0408 (0.0452) loss_seg: 0.0433 (0.0484) loss_lansim: 0.0864 (0.0865) loss_contra: 0.0001 (0.0026) time: 2.5742 data: 0.0026 max mem: 31671 Epoch: [27] [4100/5278] eta: 0:50:08 lr: 1.720188655001881e-05 loss: 0.0397 (0.0452) loss_seg: 0.0425 (0.0484) loss_lansim: 0.0857 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5797 data: 0.0026 max mem: 31671 Epoch: [27] [4110/5278] eta: 0:49:43 lr: 1.7199486751855526e-05 loss: 0.0403 (0.0452) loss_seg: 0.0428 (0.0484) loss_lansim: 0.0852 (0.0865) loss_contra: 0.0000 (0.0026) time: 2.5733 data: 0.0026 max mem: 31671 Epoch: [27] [4120/5278] eta: 0:49:17 lr: 1.7197086916487508e-05 loss: 0.0403 (0.0453) loss_seg: 0.0431 (0.0485) loss_lansim: 0.0852 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5594 data: 0.0026 max mem: 31671 Epoch: [27] [4130/5278] eta: 0:48:51 lr: 1.7194687043908407e-05 loss: 0.0397 (0.0453) loss_seg: 0.0425 (0.0485) loss_lansim: 0.0852 (0.0865) loss_contra: 0.0000 (0.0026) time: 2.5579 data: 0.0026 max mem: 31671 Epoch: [27] [4140/5278] eta: 0:48:26 lr: 1.7192287134111888e-05 loss: 0.0403 (0.0453) loss_seg: 0.0428 (0.0485) loss_lansim: 0.0852 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5512 data: 0.0026 max mem: 31671 Epoch: [27] [4150/5278] eta: 0:48:00 lr: 1.7189887187091598e-05 loss: 0.0404 (0.0453) loss_seg: 0.0428 (0.0485) loss_lansim: 0.0854 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5601 data: 0.0026 max mem: 31671 Epoch: [27] [4160/5278] eta: 0:47:35 lr: 1.7187487202841178e-05 loss: 0.0392 (0.0453) loss_seg: 0.0424 (0.0485) loss_lansim: 0.0856 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5471 data: 0.0026 max mem: 31671 Epoch: [27] [4170/5278] eta: 0:47:09 lr: 1.7185087181354274e-05 loss: 0.0388 (0.0452) loss_seg: 0.0408 (0.0484) loss_lansim: 0.0857 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5391 data: 0.0026 max mem: 31671 Epoch: [27] [4180/5278] eta: 0:46:44 lr: 1.718268712262453e-05 loss: 0.0389 (0.0452) loss_seg: 0.0414 (0.0484) loss_lansim: 0.0869 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5371 data: 0.0026 max mem: 31671 Epoch: [27] [4190/5278] eta: 0:46:18 lr: 1.7180287026645603e-05 loss: 0.0388 (0.0453) loss_seg: 0.0408 (0.0485) loss_lansim: 0.0858 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5411 data: 0.0026 max mem: 31671 Epoch: [27] [4200/5278] eta: 0:45:53 lr: 1.7177886893411113e-05 loss: 0.0389 (0.0453) loss_seg: 0.0414 (0.0485) loss_lansim: 0.0858 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [27] [4210/5278] eta: 0:45:27 lr: 1.717548672291471e-05 loss: 0.0388 (0.0453) loss_seg: 0.0420 (0.0485) loss_lansim: 0.0881 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5470 data: 0.0026 max mem: 31671 Epoch: [27] [4220/5278] eta: 0:45:02 lr: 1.717308651515002e-05 loss: 0.0387 (0.0453) loss_seg: 0.0404 (0.0485) loss_lansim: 0.0883 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5562 data: 0.0026 max mem: 31671 Epoch: [27] [4230/5278] eta: 0:44:36 lr: 1.717068627011069e-05 loss: 0.0387 (0.0452) loss_seg: 0.0393 (0.0484) loss_lansim: 0.0892 (0.0866) loss_contra: 0.0000 (0.0026) time: 2.5538 data: 0.0026 max mem: 31671 Epoch: [27] [4240/5278] eta: 0:44:10 lr: 1.7168285987790336e-05 loss: 0.0371 (0.0452) loss_seg: 0.0391 (0.0484) loss_lansim: 0.0897 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5555 data: 0.0026 max mem: 31671 Epoch: [27] [4250/5278] eta: 0:43:45 lr: 1.7165885668182598e-05 loss: 0.0380 (0.0452) loss_seg: 0.0393 (0.0484) loss_lansim: 0.0883 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5473 data: 0.0026 max mem: 31671 Epoch: [27] [4260/5278] eta: 0:43:19 lr: 1.7163485311281096e-05 loss: 0.0392 (0.0452) loss_seg: 0.0417 (0.0484) loss_lansim: 0.0883 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5602 data: 0.0026 max mem: 31671 Epoch: [27] [4270/5278] eta: 0:42:54 lr: 1.716108491707947e-05 loss: 0.0400 (0.0452) loss_seg: 0.0429 (0.0484) loss_lansim: 0.0902 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5627 data: 0.0026 max mem: 31671 Epoch: [27] [4280/5278] eta: 0:42:28 lr: 1.7158684485571322e-05 loss: 0.0401 (0.0452) loss_seg: 0.0437 (0.0485) loss_lansim: 0.0907 (0.0867) loss_contra: 0.0000 (0.0026) time: 2.5627 data: 0.0026 max mem: 31671 Epoch: [27] [4290/5278] eta: 0:42:03 lr: 1.7156284016750283e-05 loss: 0.0402 (0.0453) loss_seg: 0.0437 (0.0485) loss_lansim: 0.0912 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5568 data: 0.0026 max mem: 31671 Epoch: [27] [4300/5278] eta: 0:41:37 lr: 1.715388351060998e-05 loss: 0.0400 (0.0453) loss_seg: 0.0429 (0.0485) loss_lansim: 0.0889 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5600 data: 0.0026 max mem: 31671 Epoch: [27] [4310/5278] eta: 0:41:12 lr: 1.7151482967144022e-05 loss: 0.0397 (0.0453) loss_seg: 0.0419 (0.0485) loss_lansim: 0.0883 (0.0867) loss_contra: 0.0001 (0.0026) time: 2.5542 data: 0.0026 max mem: 31671 Epoch: [27] [4320/5278] eta: 0:40:46 lr: 1.7149082386346017e-05 loss: 0.0396 (0.0453) loss_seg: 0.0429 (0.0485) loss_lansim: 0.0883 (0.0867) loss_contra: 0.0001 (0.0025) time: 2.5569 data: 0.0026 max mem: 31671 Epoch: [27] [4330/5278] eta: 0:40:21 lr: 1.714668176820959e-05 loss: 0.0396 (0.0453) loss_seg: 0.0431 (0.0485) loss_lansim: 0.0888 (0.0867) loss_contra: 0.0001 (0.0025) time: 2.5512 data: 0.0026 max mem: 31671 Epoch: [27] [4340/5278] eta: 0:39:55 lr: 1.7144281112728348e-05 loss: 0.0380 (0.0452) loss_seg: 0.0404 (0.0484) loss_lansim: 0.0889 (0.0867) loss_contra: 0.0001 (0.0025) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [27] [4350/5278] eta: 0:39:30 lr: 1.7141880419895894e-05 loss: 0.0372 (0.0452) loss_seg: 0.0388 (0.0484) loss_lansim: 0.0887 (0.0867) loss_contra: 0.0001 (0.0025) time: 2.5583 data: 0.0026 max mem: 31671 Epoch: [27] [4360/5278] eta: 0:39:04 lr: 1.7139479689705847e-05 loss: 0.0369 (0.0452) loss_seg: 0.0381 (0.0484) loss_lansim: 0.0887 (0.0867) loss_contra: 0.0001 (0.0025) time: 2.5538 data: 0.0026 max mem: 31671 Epoch: [27] [4370/5278] eta: 0:38:38 lr: 1.71370789221518e-05 loss: 0.0372 (0.0452) loss_seg: 0.0388 (0.0484) loss_lansim: 0.0883 (0.0867) loss_contra: 0.0000 (0.0025) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [27] [4380/5278] eta: 0:38:13 lr: 1.713467811722735e-05 loss: 0.0342 (0.0452) loss_seg: 0.0365 (0.0484) loss_lansim: 0.0882 (0.0867) loss_contra: 0.0000 (0.0025) time: 2.5499 data: 0.0026 max mem: 31671 Epoch: [27] [4390/5278] eta: 0:37:47 lr: 1.7132277274926114e-05 loss: 0.0333 (0.0452) loss_seg: 0.0360 (0.0484) loss_lansim: 0.0882 (0.0867) loss_contra: 0.0000 (0.0025) time: 2.5547 data: 0.0026 max mem: 31671 Epoch: [27] [4400/5278] eta: 0:37:22 lr: 1.7129876395241685e-05 loss: 0.0352 (0.0452) loss_seg: 0.0365 (0.0484) loss_lansim: 0.0883 (0.0868) loss_contra: 0.0000 (0.0025) time: 2.5500 data: 0.0026 max mem: 31671 Epoch: [27] [4410/5278] eta: 0:36:56 lr: 1.712747547816765e-05 loss: 0.0352 (0.0451) loss_seg: 0.0374 (0.0484) loss_lansim: 0.0882 (0.0868) loss_contra: 0.0000 (0.0025) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [27] [4420/5278] eta: 0:36:31 lr: 1.7125074523697607e-05 loss: 0.0357 (0.0451) loss_seg: 0.0377 (0.0484) loss_lansim: 0.0871 (0.0868) loss_contra: 0.0000 (0.0025) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [27] [4430/5278] eta: 0:36:06 lr: 1.7122673531825154e-05 loss: 0.0352 (0.0452) loss_seg: 0.0377 (0.0484) loss_lansim: 0.0855 (0.0867) loss_contra: 0.0000 (0.0025) time: 2.5706 data: 0.0025 max mem: 31671 Epoch: [27] [4440/5278] eta: 0:35:40 lr: 1.712027250254388e-05 loss: 0.0371 (0.0452) loss_seg: 0.0398 (0.0484) loss_lansim: 0.0856 (0.0868) loss_contra: 0.0000 (0.0025) time: 2.5711 data: 0.0025 max mem: 31671 Epoch: [27] [4450/5278] eta: 0:35:14 lr: 1.7117871435847364e-05 loss: 0.0371 (0.0452) loss_seg: 0.0406 (0.0484) loss_lansim: 0.0863 (0.0868) loss_contra: 0.0000 (0.0025) time: 2.5683 data: 0.0025 max mem: 31671 Epoch: [27] [4460/5278] eta: 0:34:49 lr: 1.7115470331729195e-05 loss: 0.0381 (0.0452) loss_seg: 0.0416 (0.0484) loss_lansim: 0.0871 (0.0868) loss_contra: 0.0000 (0.0025) time: 2.5823 data: 0.0025 max mem: 31671 Epoch: [27] [4470/5278] eta: 0:34:24 lr: 1.7113069190182955e-05 loss: 0.0381 (0.0452) loss_seg: 0.0418 (0.0484) loss_lansim: 0.0872 (0.0868) loss_contra: 0.0000 (0.0025) time: 2.5829 data: 0.0025 max mem: 31671 Epoch: [27] [4480/5278] eta: 0:33:58 lr: 1.7110668011202242e-05 loss: 0.0392 (0.0452) loss_seg: 0.0426 (0.0484) loss_lansim: 0.0878 (0.0868) loss_contra: 0.0000 (0.0025) time: 2.5797 data: 0.0025 max mem: 31671 Epoch: [27] [4490/5278] eta: 0:33:32 lr: 1.710826679478061e-05 loss: 0.0398 (0.0452) loss_seg: 0.0433 (0.0484) loss_lansim: 0.0880 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5781 data: 0.0025 max mem: 31671 Epoch: [27] [4500/5278] eta: 0:33:07 lr: 1.710586554091165e-05 loss: 0.0395 (0.0452) loss_seg: 0.0433 (0.0484) loss_lansim: 0.0886 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5814 data: 0.0025 max mem: 31671 Epoch: [27] [4510/5278] eta: 0:32:41 lr: 1.7103464249588935e-05 loss: 0.0395 (0.0452) loss_seg: 0.0433 (0.0484) loss_lansim: 0.0882 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5694 data: 0.0025 max mem: 31671 Epoch: [27] [4520/5278] eta: 0:32:16 lr: 1.710106292080604e-05 loss: 0.0393 (0.0452) loss_seg: 0.0431 (0.0484) loss_lansim: 0.0886 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5697 data: 0.0025 max mem: 31671 Epoch: [27] [4530/5278] eta: 0:31:50 lr: 1.7098661554556532e-05 loss: 0.0398 (0.0452) loss_seg: 0.0435 (0.0484) loss_lansim: 0.0890 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5578 data: 0.0025 max mem: 31671 Epoch: [27] [4540/5278] eta: 0:31:25 lr: 1.709626015083398e-05 loss: 0.0398 (0.0452) loss_seg: 0.0431 (0.0484) loss_lansim: 0.0890 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5686 data: 0.0025 max mem: 31671 Epoch: [27] [4550/5278] eta: 0:30:59 lr: 1.7093858709631953e-05 loss: 0.0402 (0.0452) loss_seg: 0.0435 (0.0484) loss_lansim: 0.0892 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5706 data: 0.0024 max mem: 31671 Epoch: [27] [4560/5278] eta: 0:30:34 lr: 1.709145723094402e-05 loss: 0.0403 (0.0452) loss_seg: 0.0435 (0.0484) loss_lansim: 0.0889 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5607 data: 0.0025 max mem: 31671 Epoch: [27] [4570/5278] eta: 0:30:08 lr: 1.708905571476373e-05 loss: 0.0396 (0.0452) loss_seg: 0.0429 (0.0484) loss_lansim: 0.0888 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [27] [4580/5278] eta: 0:29:43 lr: 1.7086654161084654e-05 loss: 0.0385 (0.0452) loss_seg: 0.0416 (0.0484) loss_lansim: 0.0884 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5618 data: 0.0025 max mem: 31671 Epoch: [27] [4590/5278] eta: 0:29:17 lr: 1.7084252569900345e-05 loss: 0.0378 (0.0452) loss_seg: 0.0412 (0.0484) loss_lansim: 0.0888 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5633 data: 0.0025 max mem: 31671 Epoch: [27] [4600/5278] eta: 0:28:52 lr: 1.7081850941204362e-05 loss: 0.0385 (0.0452) loss_seg: 0.0421 (0.0484) loss_lansim: 0.0880 (0.0869) loss_contra: 0.0000 (0.0024) time: 2.5630 data: 0.0025 max mem: 31671 Epoch: [27] [4610/5278] eta: 0:28:26 lr: 1.707944927499026e-05 loss: 0.0403 (0.0452) loss_seg: 0.0429 (0.0484) loss_lansim: 0.0901 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5661 data: 0.0026 max mem: 31671 Epoch: [27] [4620/5278] eta: 0:28:00 lr: 1.707704757125159e-05 loss: 0.0403 (0.0452) loss_seg: 0.0428 (0.0484) loss_lansim: 0.0891 (0.0869) loss_contra: 0.0000 (0.0025) time: 2.5621 data: 0.0026 max mem: 31671 Epoch: [27] [4630/5278] eta: 0:27:35 lr: 1.7074645829981897e-05 loss: 0.0391 (0.0452) loss_seg: 0.0424 (0.0484) loss_lansim: 0.0902 (0.0870) loss_contra: 0.0000 (0.0025) time: 2.5651 data: 0.0026 max mem: 31671 Epoch: [27] [4640/5278] eta: 0:27:09 lr: 1.707224405117473e-05 loss: 0.0386 (0.0452) loss_seg: 0.0424 (0.0484) loss_lansim: 0.0901 (0.0870) loss_contra: 0.0000 (0.0025) time: 2.5687 data: 0.0026 max mem: 31671 Epoch: [27] [4650/5278] eta: 0:26:44 lr: 1.706984223482365e-05 loss: 0.0403 (0.0452) loss_seg: 0.0443 (0.0484) loss_lansim: 0.0908 (0.0870) loss_contra: 0.0000 (0.0025) time: 2.5597 data: 0.0026 max mem: 31671 Epoch: [27] [4660/5278] eta: 0:26:18 lr: 1.7067440380922176e-05 loss: 0.0394 (0.0452) loss_seg: 0.0424 (0.0484) loss_lansim: 0.0913 (0.0870) loss_contra: 0.0000 (0.0025) time: 2.5596 data: 0.0026 max mem: 31671 Epoch: [27] [4670/5278] eta: 0:25:53 lr: 1.706503848946386e-05 loss: 0.0414 (0.0452) loss_seg: 0.0452 (0.0484) loss_lansim: 0.0910 (0.0870) loss_contra: 0.0000 (0.0025) time: 2.5609 data: 0.0026 max mem: 31671 Epoch: [27] [4680/5278] eta: 0:25:27 lr: 1.7062636560442243e-05 loss: 0.0423 (0.0452) loss_seg: 0.0455 (0.0484) loss_lansim: 0.0903 (0.0870) loss_contra: 0.0000 (0.0025) time: 2.5683 data: 0.0025 max mem: 31671 Epoch: [27] [4690/5278] eta: 0:25:02 lr: 1.706023459385087e-05 loss: 0.0432 (0.0452) loss_seg: 0.0474 (0.0484) loss_lansim: 0.0904 (0.0870) loss_contra: 0.0000 (0.0025) time: 2.5687 data: 0.0026 max mem: 31671 Epoch: [27] [4700/5278] eta: 0:24:36 lr: 1.7057832589683252e-05 loss: 0.0423 (0.0452) loss_seg: 0.0463 (0.0484) loss_lansim: 0.0895 (0.0870) loss_contra: 0.0000 (0.0025) time: 2.5669 data: 0.0026 max mem: 31671 Epoch: [27] [4710/5278] eta: 0:24:11 lr: 1.7055430547932943e-05 loss: 0.0412 (0.0452) loss_seg: 0.0450 (0.0484) loss_lansim: 0.0886 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5616 data: 0.0026 max mem: 31671 Epoch: [27] [4720/5278] eta: 0:23:45 lr: 1.7053028468593464e-05 loss: 0.0412 (0.0452) loss_seg: 0.0432 (0.0484) loss_lansim: 0.0886 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5619 data: 0.0026 max mem: 31671 Epoch: [27] [4730/5278] eta: 0:23:19 lr: 1.7050626351658356e-05 loss: 0.0410 (0.0452) loss_seg: 0.0429 (0.0484) loss_lansim: 0.0880 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [27] [4740/5278] eta: 0:22:54 lr: 1.7048224197121124e-05 loss: 0.0408 (0.0452) loss_seg: 0.0425 (0.0484) loss_lansim: 0.0878 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [27] [4750/5278] eta: 0:22:28 lr: 1.7045822004975308e-05 loss: 0.0400 (0.0452) loss_seg: 0.0415 (0.0484) loss_lansim: 0.0871 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5575 data: 0.0025 max mem: 31671 Epoch: [27] [4760/5278] eta: 0:22:03 lr: 1.7043419775214422e-05 loss: 0.0390 (0.0452) loss_seg: 0.0408 (0.0484) loss_lansim: 0.0860 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5597 data: 0.0025 max mem: 31671 Epoch: [27] [4770/5278] eta: 0:21:37 lr: 1.7041017507831998e-05 loss: 0.0386 (0.0452) loss_seg: 0.0406 (0.0484) loss_lansim: 0.0859 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5597 data: 0.0025 max mem: 31671 Epoch: [27] [4780/5278] eta: 0:21:12 lr: 1.7038615202821542e-05 loss: 0.0370 (0.0451) loss_seg: 0.0397 (0.0484) loss_lansim: 0.0858 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5525 data: 0.0025 max mem: 31671 Epoch: [27] [4790/5278] eta: 0:20:46 lr: 1.7036212860176572e-05 loss: 0.0370 (0.0452) loss_seg: 0.0397 (0.0484) loss_lansim: 0.0859 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5557 data: 0.0025 max mem: 31671 Epoch: [27] [4800/5278] eta: 0:20:21 lr: 1.7033810479890602e-05 loss: 0.0363 (0.0452) loss_seg: 0.0394 (0.0484) loss_lansim: 0.0861 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5621 data: 0.0025 max mem: 31671 Epoch: [27] [4810/5278] eta: 0:19:55 lr: 1.7031408061957146e-05 loss: 0.0363 (0.0452) loss_seg: 0.0388 (0.0484) loss_lansim: 0.0881 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5668 data: 0.0025 max mem: 31671 Epoch: [27] [4820/5278] eta: 0:19:30 lr: 1.7029005606369717e-05 loss: 0.0387 (0.0452) loss_seg: 0.0406 (0.0484) loss_lansim: 0.0892 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5654 data: 0.0025 max mem: 31671 Epoch: [27] [4830/5278] eta: 0:19:04 lr: 1.7026603113121808e-05 loss: 0.0382 (0.0452) loss_seg: 0.0416 (0.0484) loss_lansim: 0.0890 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [27] [4840/5278] eta: 0:18:39 lr: 1.7024200582206936e-05 loss: 0.0381 (0.0451) loss_seg: 0.0398 (0.0484) loss_lansim: 0.0892 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5669 data: 0.0025 max mem: 31671 Epoch: [27] [4850/5278] eta: 0:18:13 lr: 1.7021798013618604e-05 loss: 0.0381 (0.0451) loss_seg: 0.0407 (0.0484) loss_lansim: 0.0892 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5638 data: 0.0025 max mem: 31671 Epoch: [27] [4860/5278] eta: 0:17:47 lr: 1.7019395407350313e-05 loss: 0.0381 (0.0451) loss_seg: 0.0407 (0.0484) loss_lansim: 0.0892 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5575 data: 0.0025 max mem: 31671 Epoch: [27] [4870/5278] eta: 0:17:22 lr: 1.701699276339555e-05 loss: 0.0370 (0.0451) loss_seg: 0.0398 (0.0483) loss_lansim: 0.0890 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [27] [4880/5278] eta: 0:16:56 lr: 1.701459008174782e-05 loss: 0.0381 (0.0451) loss_seg: 0.0410 (0.0484) loss_lansim: 0.0890 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5570 data: 0.0025 max mem: 31671 Epoch: [27] [4890/5278] eta: 0:16:31 lr: 1.7012187362400618e-05 loss: 0.0375 (0.0451) loss_seg: 0.0405 (0.0483) loss_lansim: 0.0890 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [27] [4900/5278] eta: 0:16:05 lr: 1.700978460534744e-05 loss: 0.0370 (0.0451) loss_seg: 0.0393 (0.0484) loss_lansim: 0.0876 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [27] [4910/5278] eta: 0:15:40 lr: 1.7007381810581773e-05 loss: 0.0381 (0.0452) loss_seg: 0.0407 (0.0484) loss_lansim: 0.0867 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [27] [4920/5278] eta: 0:15:14 lr: 1.7004978978097093e-05 loss: 0.0375 (0.0451) loss_seg: 0.0405 (0.0484) loss_lansim: 0.0858 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5660 data: 0.0025 max mem: 31671 Epoch: [27] [4930/5278] eta: 0:14:49 lr: 1.70025761078869e-05 loss: 0.0381 (0.0452) loss_seg: 0.0406 (0.0484) loss_lansim: 0.0858 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5648 data: 0.0025 max mem: 31671 Epoch: [27] [4940/5278] eta: 0:14:23 lr: 1.700017319994468e-05 loss: 0.0385 (0.0451) loss_seg: 0.0409 (0.0484) loss_lansim: 0.0858 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5717 data: 0.0025 max mem: 31671 Epoch: [27] [4950/5278] eta: 0:13:58 lr: 1.6997770254263905e-05 loss: 0.0375 (0.0451) loss_seg: 0.0405 (0.0484) loss_lansim: 0.0858 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5658 data: 0.0026 max mem: 31671 Epoch: [27] [4960/5278] eta: 0:13:32 lr: 1.6995367270838053e-05 loss: 0.0375 (0.0451) loss_seg: 0.0405 (0.0484) loss_lansim: 0.0865 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5643 data: 0.0026 max mem: 31671 Epoch: [27] [4970/5278] eta: 0:13:07 lr: 1.6992964249660606e-05 loss: 0.0398 (0.0451) loss_seg: 0.0423 (0.0484) loss_lansim: 0.0848 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5805 data: 0.0026 max mem: 31671 Epoch: [27] [4980/5278] eta: 0:12:41 lr: 1.6990561190725043e-05 loss: 0.0379 (0.0451) loss_seg: 0.0400 (0.0483) loss_lansim: 0.0848 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5810 data: 0.0026 max mem: 31671 Epoch: [27] [4990/5278] eta: 0:12:15 lr: 1.698815809402483e-05 loss: 0.0398 (0.0451) loss_seg: 0.0417 (0.0483) loss_lansim: 0.0848 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5795 data: 0.0025 max mem: 31671 Epoch: [27] [5000/5278] eta: 0:11:50 lr: 1.6985754959553438e-05 loss: 0.0394 (0.0451) loss_seg: 0.0409 (0.0483) loss_lansim: 0.0846 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5697 data: 0.0025 max mem: 31671 Epoch: [27] [5010/5278] eta: 0:11:24 lr: 1.6983351787304338e-05 loss: 0.0365 (0.0451) loss_seg: 0.0383 (0.0483) loss_lansim: 0.0843 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5651 data: 0.0026 max mem: 31671 Epoch: [27] [5020/5278] eta: 0:10:59 lr: 1.6980948577271002e-05 loss: 0.0372 (0.0451) loss_seg: 0.0386 (0.0483) loss_lansim: 0.0848 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5612 data: 0.0026 max mem: 31671 Epoch: [27] [5030/5278] eta: 0:10:33 lr: 1.697854532944688e-05 loss: 0.0375 (0.0451) loss_seg: 0.0388 (0.0483) loss_lansim: 0.0902 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5578 data: 0.0025 max mem: 31671 Epoch: [27] [5040/5278] eta: 0:10:08 lr: 1.6976142043825447e-05 loss: 0.0379 (0.0451) loss_seg: 0.0393 (0.0483) loss_lansim: 0.0865 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5565 data: 0.0026 max mem: 31671 Epoch: [27] [5050/5278] eta: 0:09:42 lr: 1.6973738720400153e-05 loss: 0.0381 (0.0451) loss_seg: 0.0400 (0.0483) loss_lansim: 0.0884 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5667 data: 0.0026 max mem: 31671 Epoch: [27] [5060/5278] eta: 0:09:17 lr: 1.6971335359164464e-05 loss: 0.0376 (0.0451) loss_seg: 0.0393 (0.0483) loss_lansim: 0.0867 (0.0870) loss_contra: 0.0000 (0.0024) time: 2.5662 data: 0.0026 max mem: 31671 Epoch: [27] [5070/5278] eta: 0:08:51 lr: 1.6968931960111836e-05 loss: 0.0376 (0.0451) loss_seg: 0.0390 (0.0483) loss_lansim: 0.0899 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5625 data: 0.0026 max mem: 31671 Epoch: [27] [5080/5278] eta: 0:08:25 lr: 1.6966528523235715e-05 loss: 0.0380 (0.0451) loss_seg: 0.0393 (0.0483) loss_lansim: 0.0892 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5573 data: 0.0026 max mem: 31671 Epoch: [27] [5090/5278] eta: 0:08:00 lr: 1.6964125048529554e-05 loss: 0.0360 (0.0451) loss_seg: 0.0388 (0.0483) loss_lansim: 0.0884 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5635 data: 0.0026 max mem: 31671 Epoch: [27] [5100/5278] eta: 0:07:34 lr: 1.6961721535986804e-05 loss: 0.0360 (0.0451) loss_seg: 0.0390 (0.0483) loss_lansim: 0.0867 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5632 data: 0.0026 max mem: 31671 Epoch: [27] [5110/5278] eta: 0:07:09 lr: 1.695931798560092e-05 loss: 0.0380 (0.0451) loss_seg: 0.0402 (0.0483) loss_lansim: 0.0877 (0.0871) loss_contra: 0.0000 (0.0024) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [27] [5120/5278] eta: 0:06:43 lr: 1.695691439736533e-05 loss: 0.0376 (0.0451) loss_seg: 0.0398 (0.0483) loss_lansim: 0.0869 (0.0871) loss_contra: 0.0000 (0.0023) time: 2.5661 data: 0.0025 max mem: 31671 Epoch: [27] [5130/5278] eta: 0:06:18 lr: 1.695451077127349e-05 loss: 0.0376 (0.0452) loss_seg: 0.0398 (0.0484) loss_lansim: 0.0865 (0.0871) loss_contra: 0.0000 (0.0023) time: 2.5692 data: 0.0026 max mem: 31671 Epoch: [27] [5140/5278] eta: 0:05:52 lr: 1.6952107107318833e-05 loss: 0.0372 (0.0452) loss_seg: 0.0398 (0.0484) loss_lansim: 0.0866 (0.0871) loss_contra: 0.0000 (0.0023) time: 2.5706 data: 0.0026 max mem: 31671 Epoch: [27] [5150/5278] eta: 0:05:27 lr: 1.6949703405494804e-05 loss: 0.0376 (0.0452) loss_seg: 0.0406 (0.0484) loss_lansim: 0.0863 (0.0871) loss_contra: 0.0000 (0.0023) time: 2.5574 data: 0.0026 max mem: 31671 Epoch: [27] [5160/5278] eta: 0:05:01 lr: 1.6947299665794832e-05 loss: 0.0389 (0.0452) loss_seg: 0.0412 (0.0484) loss_lansim: 0.0854 (0.0871) loss_contra: 0.0000 (0.0023) time: 2.5705 data: 0.0026 max mem: 31671 Epoch: [27] [5170/5278] eta: 0:04:36 lr: 1.6944895888212353e-05 loss: 0.0394 (0.0452) loss_seg: 0.0415 (0.0484) loss_lansim: 0.0836 (0.0871) loss_contra: 0.0000 (0.0023) time: 2.5657 data: 0.0026 max mem: 31671 Epoch: [27] [5180/5278] eta: 0:04:10 lr: 1.69424920727408e-05 loss: 0.0395 (0.0452) loss_seg: 0.0431 (0.0484) loss_lansim: 0.0831 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5652 data: 0.0026 max mem: 31671 Epoch: [27] [5190/5278] eta: 0:03:44 lr: 1.694008821937361e-05 loss: 0.0395 (0.0452) loss_seg: 0.0432 (0.0484) loss_lansim: 0.0818 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5684 data: 0.0026 max mem: 31671 Epoch: [27] [5200/5278] eta: 0:03:19 lr: 1.6937684328104194e-05 loss: 0.0395 (0.0452) loss_seg: 0.0432 (0.0484) loss_lansim: 0.0830 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5706 data: 0.0027 max mem: 31671 Epoch: [27] [5210/5278] eta: 0:02:53 lr: 1.6935280398925988e-05 loss: 0.0395 (0.0452) loss_seg: 0.0432 (0.0484) loss_lansim: 0.0828 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5706 data: 0.0027 max mem: 31671 Epoch: [27] [5220/5278] eta: 0:02:28 lr: 1.6932876431832412e-05 loss: 0.0412 (0.0452) loss_seg: 0.0447 (0.0484) loss_lansim: 0.0828 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5711 data: 0.0026 max mem: 31671 Epoch: [27] [5230/5278] eta: 0:02:02 lr: 1.6930472426816893e-05 loss: 0.0407 (0.0452) loss_seg: 0.0436 (0.0484) loss_lansim: 0.0828 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5693 data: 0.0026 max mem: 31671 Epoch: [27] [5240/5278] eta: 0:01:37 lr: 1.692806838387284e-05 loss: 0.0396 (0.0452) loss_seg: 0.0420 (0.0484) loss_lansim: 0.0828 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5651 data: 0.0026 max mem: 31671 Epoch: [27] [5250/5278] eta: 0:01:11 lr: 1.692566430299367e-05 loss: 0.0395 (0.0452) loss_seg: 0.0410 (0.0484) loss_lansim: 0.0830 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5740 data: 0.0026 max mem: 31671 Epoch: [27] [5260/5278] eta: 0:00:46 lr: 1.6923260184172808e-05 loss: 0.0395 (0.0452) loss_seg: 0.0417 (0.0484) loss_lansim: 0.0844 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5585 data: 0.0026 max mem: 31671 Epoch: [27] [5270/5278] eta: 0:00:20 lr: 1.692085602740366e-05 loss: 0.0373 (0.0452) loss_seg: 0.0408 (0.0484) loss_lansim: 0.0834 (0.0870) loss_contra: 0.0000 (0.0023) time: 2.5611 data: 0.0025 max mem: 31671 Epoch: [27] Total time: 3:44:50 Test: [ 0/2573] eta: 1:36:39 time: 2.2540 data: 2.0653 max mem: 31671 Test: [ 100/2573] eta: 0:06:46 time: 0.1435 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:11 time: 0.1487 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:46 time: 0.1437 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:27 time: 0.1457 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:10 time: 0.1453 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:54 time: 0.1475 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:40 time: 0.1516 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:25 time: 0.1486 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:09 time: 0.1484 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:54 time: 0.1470 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:39 time: 0.1478 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:24 time: 0.1468 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:09 time: 0.1456 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:53 time: 0.1412 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1461 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1453 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1477 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1449 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1420 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1417 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1472 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1418 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1481 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1444 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1478 data: 0.0016 max mem: 31671 Test: Total time: 0:06:18 Final results: precision@0.5 = 70.65 precision@0.6 = 65.89 precision@0.7 = 59.23 precision@0.8 = 47.37 precision@0.9 = 23.49 overall IoU = 59.65 mean IoU = 62.43 Average object IoU 0.6243279501839692 Overall IoU 59.645284100137005 Better epoch: 27 The best_performance is 59.645284100137005 Epoch: [28] [ 0/5278] eta: 6:06:50 lr: 1.691893267466114e-05 loss: 0.0477 (0.0477) loss_seg: 0.0526 (0.0526) loss_lansim: 0.0793 (0.0793) loss_contra: 0.0000 (0.0000) time: 4.1703 data: 1.3342 max mem: 31671 Epoch: [28] [ 10/5278] eta: 3:55:35 lr: 1.6916528449568466e-05 loss: 0.0365 (0.0349) loss_seg: 0.0386 (0.0378) loss_lansim: 0.0865 (0.0871) loss_contra: 0.0007 (0.0012) time: 2.6832 data: 0.1227 max mem: 31671 Epoch: [28] [ 20/5278] eta: 3:49:12 lr: 1.6914124186509045e-05 loss: 0.0333 (0.0338) loss_seg: 0.0364 (0.0363) loss_lansim: 0.0851 (0.0867) loss_contra: 0.0002 (0.0014) time: 2.6155 data: 0.0649 max mem: 31671 Epoch: [28] [ 30/5278] eta: 3:45:56 lr: 1.6911719885476284e-05 loss: 0.0333 (0.0352) loss_seg: 0.0364 (0.0374) loss_lansim: 0.0875 (0.0899) loss_contra: 0.0001 (0.0011) time: 2.5831 data: 0.0448 max mem: 31671 Epoch: [28] [ 40/5278] eta: 3:46:34 lr: 1.6909315546463582e-05 loss: 0.0330 (0.0357) loss_seg: 0.0359 (0.0382) loss_lansim: 0.0883 (0.0900) loss_contra: 0.0001 (0.0010) time: 2.5954 data: 0.0345 max mem: 31671 Epoch: [28] [ 50/5278] eta: 3:46:10 lr: 1.690691116946435e-05 loss: 0.0330 (0.0362) loss_seg: 0.0359 (0.0390) loss_lansim: 0.0873 (0.0887) loss_contra: 0.0001 (0.0010) time: 2.5958 data: 0.0283 max mem: 31671 Epoch: [28] [ 60/5278] eta: 3:46:30 lr: 1.6904506754471965e-05 loss: 0.0333 (0.0365) loss_seg: 0.0346 (0.0393) loss_lansim: 0.0873 (0.0884) loss_contra: 0.0001 (0.0010) time: 2.6045 data: 0.0240 max mem: 31671 Epoch: [28] [ 70/5278] eta: 3:45:12 lr: 1.6902102301479837e-05 loss: 0.0339 (0.0383) loss_seg: 0.0364 (0.0412) loss_lansim: 0.0865 (0.0882) loss_contra: 0.0001 (0.0009) time: 2.5946 data: 0.0210 max mem: 31671 Epoch: [28] [ 80/5278] eta: 3:44:52 lr: 1.6899697810481353e-05 loss: 0.0340 (0.0396) loss_seg: 0.0365 (0.0428) loss_lansim: 0.0873 (0.0877) loss_contra: 0.0001 (0.0009) time: 2.5957 data: 0.0187 max mem: 31671 Epoch: [28] [ 90/5278] eta: 3:43:52 lr: 1.6897293281469905e-05 loss: 0.0340 (0.0398) loss_seg: 0.0365 (0.0429) loss_lansim: 0.0873 (0.0879) loss_contra: 0.0001 (0.0008) time: 2.5891 data: 0.0170 max mem: 31671 Epoch: [28] [ 100/5278] eta: 3:42:48 lr: 1.6894888714438888e-05 loss: 0.0340 (0.0414) loss_seg: 0.0365 (0.0446) loss_lansim: 0.0865 (0.0877) loss_contra: 0.0001 (0.0008) time: 2.5659 data: 0.0024 max mem: 31671 Epoch: [28] [ 110/5278] eta: 3:41:45 lr: 1.6892484109381675e-05 loss: 0.0340 (0.0407) loss_seg: 0.0365 (0.0438) loss_lansim: 0.0862 (0.0876) loss_contra: 0.0000 (0.0008) time: 2.5626 data: 0.0025 max mem: 31671 Epoch: [28] [ 120/5278] eta: 3:41:42 lr: 1.689007946629166e-05 loss: 0.0348 (0.0409) loss_seg: 0.0372 (0.0440) loss_lansim: 0.0865 (0.0876) loss_contra: 0.0000 (0.0007) time: 2.5714 data: 0.0026 max mem: 31671 Epoch: [28] [ 130/5278] eta: 3:40:44 lr: 1.688767478516222e-05 loss: 0.0355 (0.0408) loss_seg: 0.0382 (0.0439) loss_lansim: 0.0855 (0.0875) loss_contra: 0.0000 (0.0007) time: 2.5695 data: 0.0026 max mem: 31671 Epoch: [28] [ 140/5278] eta: 3:40:25 lr: 1.6885270065986743e-05 loss: 0.0356 (0.0403) loss_seg: 0.0382 (0.0433) loss_lansim: 0.0855 (0.0875) loss_contra: 0.0000 (0.0007) time: 2.5654 data: 0.0026 max mem: 31671 Epoch: [28] [ 150/5278] eta: 3:40:09 lr: 1.6882865308758598e-05 loss: 0.0360 (0.0417) loss_seg: 0.0389 (0.0449) loss_lansim: 0.0861 (0.0879) loss_contra: 0.0000 (0.0012) time: 2.5658 data: 0.0026 max mem: 31671 Epoch: [28] [ 160/5278] eta: 3:39:43 lr: 1.688046051347116e-05 loss: 0.0373 (0.0418) loss_seg: 0.0403 (0.0450) loss_lansim: 0.0861 (0.0879) loss_contra: 0.0000 (0.0015) time: 2.5584 data: 0.0026 max mem: 31671 Epoch: [28] [ 170/5278] eta: 3:39:34 lr: 1.68780556801178e-05 loss: 0.0373 (0.0420) loss_seg: 0.0409 (0.0452) loss_lansim: 0.0855 (0.0876) loss_contra: 0.0000 (0.0014) time: 2.5684 data: 0.0026 max mem: 31671 Epoch: [28] [ 180/5278] eta: 3:39:06 lr: 1.6875650808691904e-05 loss: 0.0376 (0.0421) loss_seg: 0.0411 (0.0453) loss_lansim: 0.0855 (0.0875) loss_contra: 0.0000 (0.0013) time: 2.5650 data: 0.0026 max mem: 31671 Epoch: [28] [ 190/5278] eta: 3:38:50 lr: 1.6873245899186825e-05 loss: 0.0376 (0.0424) loss_seg: 0.0411 (0.0456) loss_lansim: 0.0843 (0.0871) loss_contra: 0.0000 (0.0013) time: 2.5730 data: 0.0026 max mem: 31671 Epoch: [28] [ 200/5278] eta: 3:38:23 lr: 1.6870840951595933e-05 loss: 0.0387 (0.0429) loss_seg: 0.0419 (0.0462) loss_lansim: 0.0847 (0.0872) loss_contra: 0.0000 (0.0012) time: 2.5791 data: 0.0025 max mem: 31671 Epoch: [28] [ 210/5278] eta: 3:37:43 lr: 1.686843596591259e-05 loss: 0.0394 (0.0432) loss_seg: 0.0419 (0.0465) loss_lansim: 0.0837 (0.0868) loss_contra: 0.0000 (0.0012) time: 2.5810 data: 0.0025 max mem: 31671 Epoch: [28] [ 220/5278] eta: 3:37:35 lr: 1.6866030942130173e-05 loss: 0.0383 (0.0430) loss_seg: 0.0414 (0.0462) loss_lansim: 0.0837 (0.0867) loss_contra: 0.0000 (0.0012) time: 2.5837 data: 0.0025 max mem: 31671 Epoch: [28] [ 230/5278] eta: 3:37:11 lr: 1.6863625880242023e-05 loss: 0.0386 (0.0427) loss_seg: 0.0414 (0.0459) loss_lansim: 0.0822 (0.0864) loss_contra: 0.0000 (0.0012) time: 2.5930 data: 0.0026 max mem: 31671 Epoch: [28] [ 240/5278] eta: 3:36:29 lr: 1.6861220780241508e-05 loss: 0.0386 (0.0425) loss_seg: 0.0422 (0.0457) loss_lansim: 0.0820 (0.0862) loss_contra: 0.0000 (0.0012) time: 2.5843 data: 0.0025 max mem: 31671 Epoch: [28] [ 250/5278] eta: 3:36:10 lr: 1.685881564212198e-05 loss: 0.0384 (0.0422) loss_seg: 0.0414 (0.0454) loss_lansim: 0.0813 (0.0860) loss_contra: 0.0000 (0.0013) time: 2.5854 data: 0.0025 max mem: 31671 Epoch: [28] [ 260/5278] eta: 3:35:36 lr: 1.6856410465876795e-05 loss: 0.0384 (0.0420) loss_seg: 0.0413 (0.0452) loss_lansim: 0.0810 (0.0859) loss_contra: 0.0000 (0.0013) time: 2.5815 data: 0.0025 max mem: 31671 Epoch: [28] [ 270/5278] eta: 3:35:15 lr: 1.68540052514993e-05 loss: 0.0386 (0.0423) loss_seg: 0.0414 (0.0454) loss_lansim: 0.0813 (0.0857) loss_contra: 0.0000 (0.0013) time: 2.5787 data: 0.0025 max mem: 31671 Epoch: [28] [ 280/5278] eta: 3:34:37 lr: 1.6851599998982845e-05 loss: 0.0377 (0.0425) loss_seg: 0.0408 (0.0456) loss_lansim: 0.0825 (0.0859) loss_contra: 0.0000 (0.0012) time: 2.5727 data: 0.0025 max mem: 31671 Epoch: [28] [ 290/5278] eta: 3:34:03 lr: 1.684919470832078e-05 loss: 0.0384 (0.0429) loss_seg: 0.0413 (0.0460) loss_lansim: 0.0833 (0.0857) loss_contra: 0.0000 (0.0012) time: 2.5638 data: 0.0026 max mem: 31671 Epoch: [28] [ 300/5278] eta: 3:33:43 lr: 1.6846789379506447e-05 loss: 0.0364 (0.0424) loss_seg: 0.0394 (0.0455) loss_lansim: 0.0825 (0.0857) loss_contra: 0.0000 (0.0012) time: 2.5671 data: 0.0026 max mem: 31671 Epoch: [28] [ 310/5278] eta: 3:33:17 lr: 1.6844384012533188e-05 loss: 0.0355 (0.0424) loss_seg: 0.0387 (0.0455) loss_lansim: 0.0841 (0.0858) loss_contra: 0.0000 (0.0012) time: 2.5727 data: 0.0026 max mem: 31671 Epoch: [28] [ 320/5278] eta: 3:32:41 lr: 1.684197860739434e-05 loss: 0.0363 (0.0423) loss_seg: 0.0389 (0.0453) loss_lansim: 0.0848 (0.0858) loss_contra: 0.0000 (0.0012) time: 2.5581 data: 0.0026 max mem: 31671 Epoch: [28] [ 330/5278] eta: 3:32:30 lr: 1.683957316408324e-05 loss: 0.0363 (0.0420) loss_seg: 0.0389 (0.0451) loss_lansim: 0.0848 (0.0855) loss_contra: 0.0000 (0.0012) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [28] [ 340/5278] eta: 3:31:47 lr: 1.6837167682593232e-05 loss: 0.0360 (0.0419) loss_seg: 0.0390 (0.0450) loss_lansim: 0.0848 (0.0854) loss_contra: 0.0000 (0.0012) time: 2.5612 data: 0.0026 max mem: 31671 Epoch: [28] [ 350/5278] eta: 3:31:23 lr: 1.683476216291765e-05 loss: 0.0360 (0.0422) loss_seg: 0.0393 (0.0452) loss_lansim: 0.0857 (0.0857) loss_contra: 0.0000 (0.0013) time: 2.5586 data: 0.0026 max mem: 31671 Epoch: [28] [ 360/5278] eta: 3:31:03 lr: 1.683235660504981e-05 loss: 0.0359 (0.0419) loss_seg: 0.0389 (0.0450) loss_lansim: 0.0857 (0.0857) loss_contra: 0.0000 (0.0012) time: 2.5672 data: 0.0026 max mem: 31671 Epoch: [28] [ 370/5278] eta: 3:30:40 lr: 1.6829951008983055e-05 loss: 0.0355 (0.0420) loss_seg: 0.0387 (0.0451) loss_lansim: 0.0848 (0.0855) loss_contra: 0.0000 (0.0013) time: 2.5657 data: 0.0026 max mem: 31671 Epoch: [28] [ 380/5278] eta: 3:30:14 lr: 1.6827545374710704e-05 loss: 0.0353 (0.0419) loss_seg: 0.0385 (0.0449) loss_lansim: 0.0835 (0.0854) loss_contra: 0.0000 (0.0013) time: 2.5725 data: 0.0026 max mem: 31671 Epoch: [28] [ 390/5278] eta: 3:29:53 lr: 1.6825139702226088e-05 loss: 0.0351 (0.0417) loss_seg: 0.0379 (0.0448) loss_lansim: 0.0842 (0.0855) loss_contra: 0.0000 (0.0013) time: 2.5812 data: 0.0026 max mem: 31671 Epoch: [28] [ 400/5278] eta: 3:29:20 lr: 1.6822733991522525e-05 loss: 0.0359 (0.0418) loss_seg: 0.0393 (0.0448) loss_lansim: 0.0842 (0.0855) loss_contra: 0.0000 (0.0013) time: 2.5714 data: 0.0026 max mem: 31671 Epoch: [28] [ 410/5278] eta: 3:28:55 lr: 1.682032824259333e-05 loss: 0.0360 (0.0420) loss_seg: 0.0395 (0.0450) loss_lansim: 0.0835 (0.0854) loss_contra: 0.0000 (0.0013) time: 2.5719 data: 0.0026 max mem: 31671 Epoch: [28] [ 420/5278] eta: 3:28:25 lr: 1.681792245543183e-05 loss: 0.0360 (0.0419) loss_seg: 0.0395 (0.0449) loss_lansim: 0.0826 (0.0854) loss_contra: 0.0000 (0.0013) time: 2.5749 data: 0.0026 max mem: 31671 Epoch: [28] [ 430/5278] eta: 3:27:54 lr: 1.6815516630031335e-05 loss: 0.0360 (0.0418) loss_seg: 0.0395 (0.0447) loss_lansim: 0.0835 (0.0853) loss_contra: 0.0000 (0.0012) time: 2.5603 data: 0.0027 max mem: 31671 Epoch: [28] [ 440/5278] eta: 3:27:24 lr: 1.681311076638516e-05 loss: 0.0360 (0.0416) loss_seg: 0.0394 (0.0446) loss_lansim: 0.0842 (0.0853) loss_contra: 0.0000 (0.0012) time: 2.5685 data: 0.0027 max mem: 31671 Epoch: [28] [ 450/5278] eta: 3:26:58 lr: 1.6810704864486616e-05 loss: 0.0360 (0.0418) loss_seg: 0.0396 (0.0448) loss_lansim: 0.0842 (0.0855) loss_contra: 0.0000 (0.0013) time: 2.5670 data: 0.0026 max mem: 31671 Epoch: [28] [ 460/5278] eta: 3:26:23 lr: 1.6808298924329004e-05 loss: 0.0359 (0.0416) loss_seg: 0.0393 (0.0446) loss_lansim: 0.0846 (0.0855) loss_contra: 0.0000 (0.0016) time: 2.5528 data: 0.0026 max mem: 31671 Epoch: [28] [ 470/5278] eta: 3:25:53 lr: 1.6805892945905652e-05 loss: 0.0356 (0.0418) loss_seg: 0.0375 (0.0448) loss_lansim: 0.0847 (0.0854) loss_contra: 0.0000 (0.0015) time: 2.5463 data: 0.0026 max mem: 31671 Epoch: [28] [ 480/5278] eta: 3:25:23 lr: 1.680348692920984e-05 loss: 0.0356 (0.0418) loss_seg: 0.0375 (0.0447) loss_lansim: 0.0846 (0.0853) loss_contra: 0.0000 (0.0015) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [28] [ 490/5278] eta: 3:24:54 lr: 1.6801080874234878e-05 loss: 0.0360 (0.0418) loss_seg: 0.0393 (0.0447) loss_lansim: 0.0846 (0.0853) loss_contra: 0.0000 (0.0015) time: 2.5335 data: 0.0026 max mem: 31671 Epoch: [28] [ 500/5278] eta: 3:24:29 lr: 1.6798674780974072e-05 loss: 0.0349 (0.0418) loss_seg: 0.0365 (0.0447) loss_lansim: 0.0846 (0.0852) loss_contra: 0.0000 (0.0015) time: 2.5399 data: 0.0026 max mem: 31671 Epoch: [28] [ 510/5278] eta: 3:23:58 lr: 1.679626864942072e-05 loss: 0.0342 (0.0419) loss_seg: 0.0363 (0.0448) loss_lansim: 0.0832 (0.0852) loss_contra: 0.0000 (0.0015) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [28] [ 520/5278] eta: 3:23:30 lr: 1.6793862479568108e-05 loss: 0.0349 (0.0418) loss_seg: 0.0365 (0.0447) loss_lansim: 0.0832 (0.0851) loss_contra: 0.0000 (0.0015) time: 2.5333 data: 0.0026 max mem: 31671 Epoch: [28] [ 530/5278] eta: 3:23:05 lr: 1.6791456271409532e-05 loss: 0.0344 (0.0417) loss_seg: 0.0363 (0.0447) loss_lansim: 0.0832 (0.0850) loss_contra: 0.0000 (0.0015) time: 2.5379 data: 0.0026 max mem: 31671 Epoch: [28] [ 540/5278] eta: 3:22:37 lr: 1.678905002493828e-05 loss: 0.0349 (0.0417) loss_seg: 0.0369 (0.0447) loss_lansim: 0.0826 (0.0850) loss_contra: 0.0000 (0.0015) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [28] [ 550/5278] eta: 3:22:18 lr: 1.678664374014766e-05 loss: 0.0344 (0.0416) loss_seg: 0.0363 (0.0445) loss_lansim: 0.0821 (0.0849) loss_contra: 0.0000 (0.0016) time: 2.5460 data: 0.0026 max mem: 31671 Epoch: [28] [ 560/5278] eta: 3:21:50 lr: 1.678423741703093e-05 loss: 0.0359 (0.0415) loss_seg: 0.0371 (0.0445) loss_lansim: 0.0821 (0.0849) loss_contra: 0.0000 (0.0016) time: 2.5518 data: 0.0026 max mem: 31671 Epoch: [28] [ 570/5278] eta: 3:21:21 lr: 1.678183105558139e-05 loss: 0.0359 (0.0415) loss_seg: 0.0371 (0.0445) loss_lansim: 0.0804 (0.0847) loss_contra: 0.0000 (0.0017) time: 2.5511 data: 0.0026 max mem: 31671 Epoch: [28] [ 580/5278] eta: 3:21:05 lr: 1.6779424655792325e-05 loss: 0.0363 (0.0416) loss_seg: 0.0382 (0.0445) loss_lansim: 0.0813 (0.0847) loss_contra: 0.0000 (0.0017) time: 2.5667 data: 0.0026 max mem: 31671 Epoch: [28] [ 590/5278] eta: 3:20:43 lr: 1.6777018217657006e-05 loss: 0.0363 (0.0417) loss_seg: 0.0385 (0.0447) loss_lansim: 0.0800 (0.0846) loss_contra: 0.0000 (0.0017) time: 2.5749 data: 0.0026 max mem: 31671 Epoch: [28] [ 600/5278] eta: 3:20:12 lr: 1.6774611741168717e-05 loss: 0.0379 (0.0419) loss_seg: 0.0394 (0.0448) loss_lansim: 0.0802 (0.0846) loss_contra: 0.0000 (0.0017) time: 2.5682 data: 0.0026 max mem: 31671 Epoch: [28] [ 610/5278] eta: 3:19:41 lr: 1.6772205226320724e-05 loss: 0.0377 (0.0419) loss_seg: 0.0387 (0.0449) loss_lansim: 0.0800 (0.0845) loss_contra: 0.0000 (0.0017) time: 2.5670 data: 0.0026 max mem: 31671 Epoch: [28] [ 620/5278] eta: 3:19:12 lr: 1.6769798673106307e-05 loss: 0.0361 (0.0420) loss_seg: 0.0386 (0.0449) loss_lansim: 0.0806 (0.0846) loss_contra: 0.0000 (0.0017) time: 2.5645 data: 0.0026 max mem: 31671 Epoch: [28] [ 630/5278] eta: 3:18:45 lr: 1.6767392081518735e-05 loss: 0.0372 (0.0419) loss_seg: 0.0387 (0.0449) loss_lansim: 0.0800 (0.0845) loss_contra: 0.0001 (0.0017) time: 2.5617 data: 0.0026 max mem: 31671 Epoch: [28] [ 640/5278] eta: 3:18:22 lr: 1.676498545155128e-05 loss: 0.0372 (0.0419) loss_seg: 0.0396 (0.0449) loss_lansim: 0.0800 (0.0844) loss_contra: 0.0000 (0.0017) time: 2.5683 data: 0.0026 max mem: 31671 Epoch: [28] [ 650/5278] eta: 3:18:01 lr: 1.67625787831972e-05 loss: 0.0374 (0.0420) loss_seg: 0.0407 (0.0451) loss_lansim: 0.0799 (0.0844) loss_contra: 0.0001 (0.0016) time: 2.5665 data: 0.0026 max mem: 31671 Epoch: [28] [ 660/5278] eta: 3:17:34 lr: 1.6760172076449768e-05 loss: 0.0390 (0.0426) loss_seg: 0.0425 (0.0457) loss_lansim: 0.0796 (0.0843) loss_contra: 0.0001 (0.0017) time: 2.5683 data: 0.0026 max mem: 31671 Epoch: [28] [ 670/5278] eta: 3:17:13 lr: 1.6757765331302234e-05 loss: 0.0399 (0.0426) loss_seg: 0.0438 (0.0457) loss_lansim: 0.0791 (0.0842) loss_contra: 0.0001 (0.0016) time: 2.5796 data: 0.0026 max mem: 31671 Epoch: [28] [ 680/5278] eta: 3:16:44 lr: 1.6755358547747873e-05 loss: 0.0398 (0.0424) loss_seg: 0.0420 (0.0455) loss_lansim: 0.0794 (0.0841) loss_contra: 0.0001 (0.0016) time: 2.5616 data: 0.0026 max mem: 31671 Epoch: [28] [ 690/5278] eta: 3:16:18 lr: 1.6752951725779926e-05 loss: 0.0395 (0.0424) loss_seg: 0.0410 (0.0455) loss_lansim: 0.0799 (0.0841) loss_contra: 0.0001 (0.0017) time: 2.5565 data: 0.0026 max mem: 31671 Epoch: [28] [ 700/5278] eta: 3:15:52 lr: 1.675054486539166e-05 loss: 0.0395 (0.0426) loss_seg: 0.0410 (0.0457) loss_lansim: 0.0799 (0.0841) loss_contra: 0.0001 (0.0016) time: 2.5630 data: 0.0026 max mem: 31671 Epoch: [28] [ 710/5278] eta: 3:15:21 lr: 1.6748137966576317e-05 loss: 0.0381 (0.0424) loss_seg: 0.0409 (0.0456) loss_lansim: 0.0801 (0.0840) loss_contra: 0.0001 (0.0016) time: 2.5607 data: 0.0026 max mem: 31671 Epoch: [28] [ 720/5278] eta: 3:14:50 lr: 1.6745731029327163e-05 loss: 0.0374 (0.0424) loss_seg: 0.0409 (0.0455) loss_lansim: 0.0792 (0.0839) loss_contra: 0.0001 (0.0016) time: 2.5578 data: 0.0026 max mem: 31671 Epoch: [28] [ 730/5278] eta: 3:14:28 lr: 1.6743324053637428e-05 loss: 0.0373 (0.0424) loss_seg: 0.0407 (0.0455) loss_lansim: 0.0794 (0.0838) loss_contra: 0.0000 (0.0016) time: 2.5646 data: 0.0026 max mem: 31671 Epoch: [28] [ 740/5278] eta: 3:14:01 lr: 1.6740917039500366e-05 loss: 0.0382 (0.0425) loss_seg: 0.0418 (0.0456) loss_lansim: 0.0799 (0.0838) loss_contra: 0.0000 (0.0017) time: 2.5586 data: 0.0026 max mem: 31671 Epoch: [28] [ 750/5278] eta: 3:13:33 lr: 1.673850998690922e-05 loss: 0.0381 (0.0424) loss_seg: 0.0409 (0.0455) loss_lansim: 0.0794 (0.0837) loss_contra: 0.0000 (0.0017) time: 2.5486 data: 0.0026 max mem: 31671 Epoch: [28] [ 760/5278] eta: 3:13:03 lr: 1.6736102895857237e-05 loss: 0.0373 (0.0423) loss_seg: 0.0407 (0.0454) loss_lansim: 0.0794 (0.0837) loss_contra: 0.0000 (0.0016) time: 2.5419 data: 0.0026 max mem: 31671 Epoch: [28] [ 770/5278] eta: 3:12:39 lr: 1.6733695766337645e-05 loss: 0.0373 (0.0423) loss_seg: 0.0405 (0.0454) loss_lansim: 0.0801 (0.0836) loss_contra: 0.0000 (0.0017) time: 2.5374 data: 0.0025 max mem: 31671 Epoch: [28] [ 780/5278] eta: 3:12:15 lr: 1.6731288598343685e-05 loss: 0.0372 (0.0423) loss_seg: 0.0398 (0.0454) loss_lansim: 0.0801 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.5458 data: 0.0026 max mem: 31671 Epoch: [28] [ 790/5278] eta: 3:11:48 lr: 1.6728881391868595e-05 loss: 0.0372 (0.0423) loss_seg: 0.0398 (0.0454) loss_lansim: 0.0801 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.5441 data: 0.0026 max mem: 31671 Epoch: [28] [ 800/5278] eta: 3:11:22 lr: 1.672647414690561e-05 loss: 0.0371 (0.0423) loss_seg: 0.0387 (0.0454) loss_lansim: 0.0791 (0.0834) loss_contra: 0.0000 (0.0016) time: 2.5429 data: 0.0026 max mem: 31671 Epoch: [28] [ 810/5278] eta: 3:10:57 lr: 1.6724066863447946e-05 loss: 0.0372 (0.0422) loss_seg: 0.0393 (0.0453) loss_lansim: 0.0793 (0.0835) loss_contra: 0.0000 (0.0016) time: 2.5527 data: 0.0026 max mem: 31671 Epoch: [28] [ 820/5278] eta: 3:10:34 lr: 1.672165954148884e-05 loss: 0.0375 (0.0423) loss_seg: 0.0398 (0.0454) loss_lansim: 0.0800 (0.0835) loss_contra: 0.0000 (0.0016) time: 2.5646 data: 0.0026 max mem: 31671 Epoch: [28] [ 830/5278] eta: 3:10:08 lr: 1.6719252181021518e-05 loss: 0.0375 (0.0423) loss_seg: 0.0407 (0.0453) loss_lansim: 0.0805 (0.0835) loss_contra: 0.0000 (0.0016) time: 2.5602 data: 0.0025 max mem: 31671 Epoch: [28] [ 840/5278] eta: 3:09:46 lr: 1.67168447820392e-05 loss: 0.0373 (0.0422) loss_seg: 0.0387 (0.0452) loss_lansim: 0.0805 (0.0834) loss_contra: 0.0000 (0.0016) time: 2.5690 data: 0.0025 max mem: 31671 Epoch: [28] [ 850/5278] eta: 3:09:21 lr: 1.6714437344535115e-05 loss: 0.0373 (0.0421) loss_seg: 0.0387 (0.0452) loss_lansim: 0.0817 (0.0835) loss_contra: 0.0000 (0.0016) time: 2.5728 data: 0.0026 max mem: 31671 Epoch: [28] [ 860/5278] eta: 3:08:57 lr: 1.671202986850247e-05 loss: 0.0375 (0.0422) loss_seg: 0.0395 (0.0453) loss_lansim: 0.0820 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.5853 data: 0.0025 max mem: 31671 Epoch: [28] [ 870/5278] eta: 3:08:34 lr: 1.6709622353934482e-05 loss: 0.0375 (0.0423) loss_seg: 0.0395 (0.0455) loss_lansim: 0.0820 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.5871 data: 0.0026 max mem: 31671 Epoch: [28] [ 880/5278] eta: 3:08:06 lr: 1.6707214800824372e-05 loss: 0.0380 (0.0424) loss_seg: 0.0412 (0.0455) loss_lansim: 0.0820 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.5793 data: 0.0025 max mem: 31671 Epoch: [28] [ 890/5278] eta: 3:07:42 lr: 1.6704807209165353e-05 loss: 0.0390 (0.0425) loss_seg: 0.0416 (0.0456) loss_lansim: 0.0829 (0.0836) loss_contra: 0.0000 (0.0017) time: 2.5860 data: 0.0025 max mem: 31671 Epoch: [28] [ 900/5278] eta: 3:07:14 lr: 1.6702399578950623e-05 loss: 0.0380 (0.0425) loss_seg: 0.0412 (0.0457) loss_lansim: 0.0829 (0.0835) loss_contra: 0.0000 (0.0017) time: 2.5820 data: 0.0025 max mem: 31671 Epoch: [28] [ 910/5278] eta: 3:06:51 lr: 1.66999919101734e-05 loss: 0.0378 (0.0424) loss_seg: 0.0404 (0.0456) loss_lansim: 0.0810 (0.0834) loss_contra: 0.0001 (0.0017) time: 2.5862 data: 0.0026 max mem: 31671 Epoch: [28] [ 920/5278] eta: 3:06:25 lr: 1.669758420282688e-05 loss: 0.0368 (0.0424) loss_seg: 0.0395 (0.0455) loss_lansim: 0.0810 (0.0834) loss_contra: 0.0000 (0.0017) time: 2.5808 data: 0.0026 max mem: 31671 Epoch: [28] [ 930/5278] eta: 3:05:59 lr: 1.6695176456904276e-05 loss: 0.0361 (0.0423) loss_seg: 0.0394 (0.0454) loss_lansim: 0.0808 (0.0834) loss_contra: 0.0000 (0.0017) time: 2.5803 data: 0.0026 max mem: 31671 Epoch: [28] [ 940/5278] eta: 3:05:37 lr: 1.6692768672398782e-05 loss: 0.0365 (0.0422) loss_seg: 0.0395 (0.0453) loss_lansim: 0.0799 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.5808 data: 0.0026 max mem: 31671 Epoch: [28] [ 950/5278] eta: 3:05:09 lr: 1.669036084930359e-05 loss: 0.0368 (0.0422) loss_seg: 0.0397 (0.0454) loss_lansim: 0.0794 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5774 data: 0.0026 max mem: 31671 Epoch: [28] [ 960/5278] eta: 3:04:40 lr: 1.6687952987611908e-05 loss: 0.0366 (0.0422) loss_seg: 0.0397 (0.0453) loss_lansim: 0.0782 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5642 data: 0.0027 max mem: 31671 Epoch: [28] [ 970/5278] eta: 3:04:13 lr: 1.668554508731692e-05 loss: 0.0368 (0.0422) loss_seg: 0.0399 (0.0453) loss_lansim: 0.0782 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5566 data: 0.0026 max mem: 31671 Epoch: [28] [ 980/5278] eta: 3:03:43 lr: 1.668313714841182e-05 loss: 0.0356 (0.0422) loss_seg: 0.0392 (0.0454) loss_lansim: 0.0780 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5535 data: 0.0026 max mem: 31671 Epoch: [28] [ 990/5278] eta: 3:03:18 lr: 1.6680729170889802e-05 loss: 0.0361 (0.0424) loss_seg: 0.0392 (0.0456) loss_lansim: 0.0780 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5491 data: 0.0026 max mem: 31671 Epoch: [28] [1000/5278] eta: 3:02:54 lr: 1.6678321154744043e-05 loss: 0.0370 (0.0424) loss_seg: 0.0401 (0.0456) loss_lansim: 0.0780 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5576 data: 0.0026 max mem: 31671 Epoch: [28] [1010/5278] eta: 3:02:26 lr: 1.667591309996774e-05 loss: 0.0372 (0.0424) loss_seg: 0.0407 (0.0455) loss_lansim: 0.0782 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5473 data: 0.0026 max mem: 31671 Epoch: [28] [1020/5278] eta: 3:02:01 lr: 1.667350500655406e-05 loss: 0.0381 (0.0424) loss_seg: 0.0409 (0.0455) loss_lansim: 0.0782 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5493 data: 0.0026 max mem: 31671 Epoch: [28] [1030/5278] eta: 3:01:34 lr: 1.6671096874496184e-05 loss: 0.0391 (0.0424) loss_seg: 0.0423 (0.0455) loss_lansim: 0.0779 (0.0830) loss_contra: 0.0000 (0.0016) time: 2.5473 data: 0.0026 max mem: 31671 Epoch: [28] [1040/5278] eta: 3:01:08 lr: 1.6668688703787298e-05 loss: 0.0408 (0.0424) loss_seg: 0.0431 (0.0455) loss_lansim: 0.0784 (0.0830) loss_contra: 0.0000 (0.0016) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [28] [1050/5278] eta: 3:00:37 lr: 1.666628049442058e-05 loss: 0.0413 (0.0424) loss_seg: 0.0432 (0.0455) loss_lansim: 0.0795 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5279 data: 0.0026 max mem: 31671 Epoch: [28] [1060/5278] eta: 3:00:10 lr: 1.666387224638919e-05 loss: 0.0413 (0.0425) loss_seg: 0.0433 (0.0456) loss_lansim: 0.0809 (0.0831) loss_contra: 0.0000 (0.0015) time: 2.5330 data: 0.0026 max mem: 31671 Epoch: [28] [1070/5278] eta: 2:59:44 lr: 1.666146395968631e-05 loss: 0.0407 (0.0424) loss_seg: 0.0432 (0.0455) loss_lansim: 0.0809 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5363 data: 0.0026 max mem: 31671 Epoch: [28] [1080/5278] eta: 2:59:16 lr: 1.6659055634305093e-05 loss: 0.0396 (0.0424) loss_seg: 0.0432 (0.0455) loss_lansim: 0.0818 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5368 data: 0.0026 max mem: 31671 Epoch: [28] [1090/5278] eta: 2:58:51 lr: 1.665664727023872e-05 loss: 0.0379 (0.0423) loss_seg: 0.0409 (0.0454) loss_lansim: 0.0814 (0.0831) loss_contra: 0.0000 (0.0015) time: 2.5370 data: 0.0026 max mem: 31671 Epoch: [28] [1100/5278] eta: 2:58:22 lr: 1.6654238867480354e-05 loss: 0.0378 (0.0425) loss_seg: 0.0400 (0.0456) loss_lansim: 0.0818 (0.0830) loss_contra: 0.0000 (0.0015) time: 2.5257 data: 0.0026 max mem: 31671 Epoch: [28] [1110/5278] eta: 2:57:53 lr: 1.6651830426023143e-05 loss: 0.0379 (0.0426) loss_seg: 0.0409 (0.0457) loss_lansim: 0.0811 (0.0830) loss_contra: 0.0000 (0.0015) time: 2.5200 data: 0.0026 max mem: 31671 Epoch: [28] [1120/5278] eta: 2:57:28 lr: 1.6649421945860256e-05 loss: 0.0375 (0.0425) loss_seg: 0.0400 (0.0456) loss_lansim: 0.0814 (0.0830) loss_contra: 0.0000 (0.0015) time: 2.5215 data: 0.0026 max mem: 31671 Epoch: [28] [1130/5278] eta: 2:57:03 lr: 1.6647013426984847e-05 loss: 0.0377 (0.0426) loss_seg: 0.0409 (0.0456) loss_lansim: 0.0815 (0.0830) loss_contra: 0.0000 (0.0015) time: 2.5246 data: 0.0026 max mem: 31671 Epoch: [28] [1140/5278] eta: 2:56:37 lr: 1.6644604869390078e-05 loss: 0.0375 (0.0425) loss_seg: 0.0409 (0.0456) loss_lansim: 0.0809 (0.0829) loss_contra: 0.0000 (0.0015) time: 2.5248 data: 0.0026 max mem: 31671 Epoch: [28] [1150/5278] eta: 2:56:12 lr: 1.6642196273069084e-05 loss: 0.0374 (0.0425) loss_seg: 0.0395 (0.0456) loss_lansim: 0.0807 (0.0829) loss_contra: 0.0000 (0.0015) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [28] [1160/5278] eta: 2:55:44 lr: 1.663978763801503e-05 loss: 0.0373 (0.0425) loss_seg: 0.0395 (0.0456) loss_lansim: 0.0807 (0.0829) loss_contra: 0.0000 (0.0015) time: 2.5358 data: 0.0026 max mem: 31671 Epoch: [28] [1170/5278] eta: 2:55:22 lr: 1.663737896422105e-05 loss: 0.0375 (0.0425) loss_seg: 0.0409 (0.0456) loss_lansim: 0.0807 (0.0829) loss_contra: 0.0000 (0.0015) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [28] [1180/5278] eta: 2:54:56 lr: 1.6634970251680306e-05 loss: 0.0377 (0.0426) loss_seg: 0.0412 (0.0457) loss_lansim: 0.0801 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [28] [1190/5278] eta: 2:54:28 lr: 1.6632561500385927e-05 loss: 0.0377 (0.0426) loss_seg: 0.0412 (0.0457) loss_lansim: 0.0800 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [28] [1200/5278] eta: 2:54:01 lr: 1.6630152710331056e-05 loss: 0.0377 (0.0426) loss_seg: 0.0412 (0.0457) loss_lansim: 0.0801 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [28] [1210/5278] eta: 2:53:35 lr: 1.6627743881508832e-05 loss: 0.0384 (0.0427) loss_seg: 0.0413 (0.0457) loss_lansim: 0.0802 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5559 data: 0.0026 max mem: 31671 Epoch: [28] [1220/5278] eta: 2:53:12 lr: 1.6625335013912398e-05 loss: 0.0402 (0.0427) loss_seg: 0.0413 (0.0457) loss_lansim: 0.0799 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5595 data: 0.0026 max mem: 31671 Epoch: [28] [1230/5278] eta: 2:52:47 lr: 1.6622926107534876e-05 loss: 0.0375 (0.0426) loss_seg: 0.0405 (0.0457) loss_lansim: 0.0801 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5608 data: 0.0026 max mem: 31671 Epoch: [28] [1240/5278] eta: 2:52:22 lr: 1.6620517162369397e-05 loss: 0.0384 (0.0428) loss_seg: 0.0412 (0.0459) loss_lansim: 0.0813 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5641 data: 0.0026 max mem: 31671 Epoch: [28] [1250/5278] eta: 2:51:56 lr: 1.6618108178409097e-05 loss: 0.0409 (0.0429) loss_seg: 0.0424 (0.0460) loss_lansim: 0.0813 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5620 data: 0.0026 max mem: 31671 Epoch: [28] [1260/5278] eta: 2:51:29 lr: 1.6615699155647107e-05 loss: 0.0405 (0.0428) loss_seg: 0.0424 (0.0459) loss_lansim: 0.0811 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5642 data: 0.0026 max mem: 31671 Epoch: [28] [1270/5278] eta: 2:51:02 lr: 1.6613290094076536e-05 loss: 0.0365 (0.0428) loss_seg: 0.0399 (0.0459) loss_lansim: 0.0812 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [28] [1280/5278] eta: 2:50:35 lr: 1.6610880993690514e-05 loss: 0.0363 (0.0428) loss_seg: 0.0397 (0.0459) loss_lansim: 0.0820 (0.0830) loss_contra: 0.0000 (0.0016) time: 2.5465 data: 0.0026 max mem: 31671 Epoch: [28] [1290/5278] eta: 2:50:10 lr: 1.660847185448216e-05 loss: 0.0365 (0.0427) loss_seg: 0.0399 (0.0458) loss_lansim: 0.0818 (0.0830) loss_contra: 0.0000 (0.0016) time: 2.5532 data: 0.0026 max mem: 31671 Epoch: [28] [1300/5278] eta: 2:49:43 lr: 1.6606062676444597e-05 loss: 0.0403 (0.0429) loss_seg: 0.0403 (0.0460) loss_lansim: 0.0828 (0.0830) loss_contra: 0.0000 (0.0016) time: 2.5530 data: 0.0026 max mem: 31671 Epoch: [28] [1310/5278] eta: 2:49:16 lr: 1.6603653459570932e-05 loss: 0.0363 (0.0429) loss_seg: 0.0399 (0.0460) loss_lansim: 0.0828 (0.0830) loss_contra: 0.0000 (0.0016) time: 2.5495 data: 0.0025 max mem: 31671 Epoch: [28] [1320/5278] eta: 2:48:50 lr: 1.6601244203854274e-05 loss: 0.0379 (0.0429) loss_seg: 0.0403 (0.0460) loss_lansim: 0.0832 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [28] [1330/5278] eta: 2:48:25 lr: 1.6598834909287742e-05 loss: 0.0395 (0.0429) loss_seg: 0.0419 (0.0461) loss_lansim: 0.0830 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [28] [1340/5278] eta: 2:47:59 lr: 1.6596425575864437e-05 loss: 0.0395 (0.0430) loss_seg: 0.0419 (0.0462) loss_lansim: 0.0828 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [28] [1350/5278] eta: 2:47:33 lr: 1.6594016203577475e-05 loss: 0.0383 (0.0430) loss_seg: 0.0400 (0.0462) loss_lansim: 0.0822 (0.0829) loss_contra: 0.0000 (0.0016) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [28] [1360/5278] eta: 2:47:08 lr: 1.6591606792419948e-05 loss: 0.0388 (0.0430) loss_seg: 0.0402 (0.0461) loss_lansim: 0.0819 (0.0828) loss_contra: 0.0000 (0.0016) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [28] [1370/5278] eta: 2:46:43 lr: 1.6589197342384956e-05 loss: 0.0395 (0.0430) loss_seg: 0.0403 (0.0461) loss_lansim: 0.0819 (0.0828) loss_contra: 0.0000 (0.0016) time: 2.5513 data: 0.0025 max mem: 31671 Epoch: [28] [1380/5278] eta: 2:46:18 lr: 1.6586787853465606e-05 loss: 0.0395 (0.0430) loss_seg: 0.0402 (0.0462) loss_lansim: 0.0801 (0.0828) loss_contra: 0.0000 (0.0016) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [28] [1390/5278] eta: 2:45:54 lr: 1.6584378325654996e-05 loss: 0.0395 (0.0430) loss_seg: 0.0402 (0.0462) loss_lansim: 0.0799 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5600 data: 0.0025 max mem: 31671 Epoch: [28] [1400/5278] eta: 2:45:29 lr: 1.6581968758946207e-05 loss: 0.0366 (0.0430) loss_seg: 0.0387 (0.0461) loss_lansim: 0.0780 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5674 data: 0.0025 max mem: 31671 Epoch: [28] [1410/5278] eta: 2:45:02 lr: 1.6579559153332338e-05 loss: 0.0367 (0.0430) loss_seg: 0.0395 (0.0461) loss_lansim: 0.0799 (0.0828) loss_contra: 0.0000 (0.0016) time: 2.5694 data: 0.0026 max mem: 31671 Epoch: [28] [1420/5278] eta: 2:44:35 lr: 1.657714950880648e-05 loss: 0.0373 (0.0430) loss_seg: 0.0395 (0.0461) loss_lansim: 0.0807 (0.0828) loss_contra: 0.0000 (0.0016) time: 2.5604 data: 0.0026 max mem: 31671 Epoch: [28] [1430/5278] eta: 2:44:10 lr: 1.6574739825361717e-05 loss: 0.0360 (0.0430) loss_seg: 0.0385 (0.0462) loss_lansim: 0.0804 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5646 data: 0.0026 max mem: 31671 Epoch: [28] [1440/5278] eta: 2:43:47 lr: 1.657233010299113e-05 loss: 0.0349 (0.0429) loss_seg: 0.0371 (0.0461) loss_lansim: 0.0815 (0.0828) loss_contra: 0.0000 (0.0016) time: 2.5725 data: 0.0026 max mem: 31671 Epoch: [28] [1450/5278] eta: 2:43:21 lr: 1.6569920341687806e-05 loss: 0.0351 (0.0430) loss_seg: 0.0385 (0.0462) loss_lansim: 0.0815 (0.0827) loss_contra: 0.0000 (0.0016) time: 2.5761 data: 0.0026 max mem: 31671 Epoch: [28] [1460/5278] eta: 2:42:56 lr: 1.656751054144482e-05 loss: 0.0354 (0.0431) loss_seg: 0.0386 (0.0462) loss_lansim: 0.0813 (0.0827) loss_contra: 0.0001 (0.0016) time: 2.5777 data: 0.0026 max mem: 31671 Epoch: [28] [1470/5278] eta: 2:42:29 lr: 1.6565100702255262e-05 loss: 0.0373 (0.0431) loss_seg: 0.0401 (0.0463) loss_lansim: 0.0788 (0.0826) loss_contra: 0.0000 (0.0016) time: 2.5686 data: 0.0026 max mem: 31671 Epoch: [28] [1480/5278] eta: 2:42:05 lr: 1.656269082411219e-05 loss: 0.0360 (0.0431) loss_seg: 0.0395 (0.0462) loss_lansim: 0.0800 (0.0826) loss_contra: 0.0000 (0.0016) time: 2.5723 data: 0.0026 max mem: 31671 Epoch: [28] [1490/5278] eta: 2:41:40 lr: 1.6560280907008684e-05 loss: 0.0354 (0.0430) loss_seg: 0.0386 (0.0461) loss_lansim: 0.0813 (0.0826) loss_contra: 0.0000 (0.0016) time: 2.5684 data: 0.0026 max mem: 31671 Epoch: [28] [1500/5278] eta: 2:41:17 lr: 1.6557870950937816e-05 loss: 0.0372 (0.0430) loss_seg: 0.0407 (0.0461) loss_lansim: 0.0805 (0.0826) loss_contra: 0.0000 (0.0016) time: 2.5758 data: 0.0026 max mem: 31671 Epoch: [28] [1510/5278] eta: 2:40:51 lr: 1.6555460955892654e-05 loss: 0.0373 (0.0430) loss_seg: 0.0407 (0.0461) loss_lansim: 0.0795 (0.0826) loss_contra: 0.0000 (0.0016) time: 2.5767 data: 0.0025 max mem: 31671 Epoch: [28] [1520/5278] eta: 2:40:26 lr: 1.655305092186626e-05 loss: 0.0364 (0.0430) loss_seg: 0.0392 (0.0461) loss_lansim: 0.0796 (0.0826) loss_contra: 0.0000 (0.0017) time: 2.5879 data: 0.0025 max mem: 31671 Epoch: [28] [1530/5278] eta: 2:40:00 lr: 1.6550640848851696e-05 loss: 0.0369 (0.0429) loss_seg: 0.0397 (0.0460) loss_lansim: 0.0793 (0.0826) loss_contra: 0.0000 (0.0017) time: 2.5850 data: 0.0026 max mem: 31671 Epoch: [28] [1540/5278] eta: 2:39:35 lr: 1.6548230736842032e-05 loss: 0.0381 (0.0430) loss_seg: 0.0406 (0.0461) loss_lansim: 0.0793 (0.0826) loss_contra: 0.0000 (0.0017) time: 2.5800 data: 0.0026 max mem: 31671 Epoch: [28] [1550/5278] eta: 2:39:10 lr: 1.6545820585830322e-05 loss: 0.0369 (0.0429) loss_seg: 0.0395 (0.0461) loss_lansim: 0.0793 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5822 data: 0.0026 max mem: 31671 Epoch: [28] [1560/5278] eta: 2:38:44 lr: 1.6543410395809615e-05 loss: 0.0369 (0.0429) loss_seg: 0.0395 (0.0460) loss_lansim: 0.0803 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5746 data: 0.0025 max mem: 31671 Epoch: [28] [1570/5278] eta: 2:38:19 lr: 1.654100016677297e-05 loss: 0.0369 (0.0429) loss_seg: 0.0395 (0.0460) loss_lansim: 0.0814 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5852 data: 0.0026 max mem: 31671 Epoch: [28] [1580/5278] eta: 2:37:55 lr: 1.653858989871344e-05 loss: 0.0381 (0.0429) loss_seg: 0.0406 (0.0460) loss_lansim: 0.0816 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5878 data: 0.0026 max mem: 31671 Epoch: [28] [1590/5278] eta: 2:37:27 lr: 1.6536179591624076e-05 loss: 0.0403 (0.0430) loss_seg: 0.0429 (0.0461) loss_lansim: 0.0816 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5760 data: 0.0026 max mem: 31671 Epoch: [28] [1600/5278] eta: 2:37:01 lr: 1.6533769245497923e-05 loss: 0.0398 (0.0430) loss_seg: 0.0427 (0.0461) loss_lansim: 0.0818 (0.0826) loss_contra: 0.0000 (0.0017) time: 2.5616 data: 0.0026 max mem: 31671 Epoch: [28] [1610/5278] eta: 2:36:34 lr: 1.6531358860328018e-05 loss: 0.0389 (0.0431) loss_seg: 0.0414 (0.0462) loss_lansim: 0.0816 (0.0826) loss_contra: 0.0000 (0.0017) time: 2.5605 data: 0.0026 max mem: 31671 Epoch: [28] [1620/5278] eta: 2:36:07 lr: 1.6528948436107413e-05 loss: 0.0398 (0.0431) loss_seg: 0.0429 (0.0463) loss_lansim: 0.0815 (0.0826) loss_contra: 0.0000 (0.0017) time: 2.5489 data: 0.0025 max mem: 31671 Epoch: [28] [1630/5278] eta: 2:35:40 lr: 1.6526537972829144e-05 loss: 0.0389 (0.0431) loss_seg: 0.0429 (0.0463) loss_lansim: 0.0818 (0.0826) loss_contra: 0.0000 (0.0017) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [28] [1640/5278] eta: 2:35:14 lr: 1.6524127470486247e-05 loss: 0.0385 (0.0431) loss_seg: 0.0412 (0.0462) loss_lansim: 0.0814 (0.0825) loss_contra: 0.0000 (0.0017) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [28] [1650/5278] eta: 2:34:48 lr: 1.6521716929071756e-05 loss: 0.0375 (0.0431) loss_seg: 0.0412 (0.0462) loss_lansim: 0.0815 (0.0825) loss_contra: 0.0000 (0.0017) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [28] [1660/5278] eta: 2:34:20 lr: 1.6519306348578706e-05 loss: 0.0385 (0.0431) loss_seg: 0.0416 (0.0462) loss_lansim: 0.0815 (0.0825) loss_contra: 0.0000 (0.0017) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [28] [1670/5278] eta: 2:33:54 lr: 1.6516895729000126e-05 loss: 0.0385 (0.0431) loss_seg: 0.0416 (0.0463) loss_lansim: 0.0811 (0.0825) loss_contra: 0.0000 (0.0017) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [28] [1680/5278] eta: 2:33:28 lr: 1.6514485070329045e-05 loss: 0.0386 (0.0432) loss_seg: 0.0419 (0.0463) loss_lansim: 0.0811 (0.0825) loss_contra: 0.0000 (0.0017) time: 2.5126 data: 0.0024 max mem: 31671 Epoch: [28] [1690/5278] eta: 2:33:03 lr: 1.651207437255849e-05 loss: 0.0374 (0.0431) loss_seg: 0.0396 (0.0463) loss_lansim: 0.0786 (0.0825) loss_contra: 0.0000 (0.0017) time: 2.5249 data: 0.0025 max mem: 31671 Epoch: [28] [1700/5278] eta: 2:32:36 lr: 1.6509663635681474e-05 loss: 0.0365 (0.0431) loss_seg: 0.0400 (0.0462) loss_lansim: 0.0783 (0.0825) loss_contra: 0.0000 (0.0017) time: 2.5230 data: 0.0025 max mem: 31671 Epoch: [28] [1710/5278] eta: 2:32:09 lr: 1.650725285969103e-05 loss: 0.0370 (0.0431) loss_seg: 0.0401 (0.0462) loss_lansim: 0.0795 (0.0825) loss_contra: 0.0000 (0.0017) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [28] [1720/5278] eta: 2:31:42 lr: 1.6504842044580174e-05 loss: 0.0367 (0.0431) loss_seg: 0.0401 (0.0463) loss_lansim: 0.0782 (0.0824) loss_contra: 0.0000 (0.0017) time: 2.5199 data: 0.0025 max mem: 31671 Epoch: [28] [1730/5278] eta: 2:31:15 lr: 1.6502431190341915e-05 loss: 0.0367 (0.0432) loss_seg: 0.0401 (0.0463) loss_lansim: 0.0780 (0.0824) loss_contra: 0.0000 (0.0017) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [28] [1740/5278] eta: 2:30:49 lr: 1.650002029696927e-05 loss: 0.0370 (0.0432) loss_seg: 0.0401 (0.0464) loss_lansim: 0.0782 (0.0824) loss_contra: 0.0000 (0.0017) time: 2.5194 data: 0.0026 max mem: 31671 Epoch: [28] [1750/5278] eta: 2:30:26 lr: 1.649760936445525e-05 loss: 0.0373 (0.0432) loss_seg: 0.0410 (0.0463) loss_lansim: 0.0782 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5299 data: 0.0026 max mem: 31671 Epoch: [28] [1760/5278] eta: 2:30:02 lr: 1.649519839279287e-05 loss: 0.0366 (0.0431) loss_seg: 0.0400 (0.0463) loss_lansim: 0.0780 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5482 data: 0.0026 max mem: 31671 Epoch: [28] [1770/5278] eta: 2:29:38 lr: 1.6492787381975125e-05 loss: 0.0369 (0.0432) loss_seg: 0.0401 (0.0463) loss_lansim: 0.0780 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5579 data: 0.0026 max mem: 31671 Epoch: [28] [1780/5278] eta: 2:29:12 lr: 1.6490376331995026e-05 loss: 0.0367 (0.0433) loss_seg: 0.0401 (0.0464) loss_lansim: 0.0780 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5586 data: 0.0025 max mem: 31671 Epoch: [28] [1790/5278] eta: 2:28:47 lr: 1.6487965242845572e-05 loss: 0.0370 (0.0433) loss_seg: 0.0401 (0.0465) loss_lansim: 0.0790 (0.0823) loss_contra: 0.0000 (0.0016) time: 2.5573 data: 0.0025 max mem: 31671 Epoch: [28] [1800/5278] eta: 2:28:21 lr: 1.6485554114519764e-05 loss: 0.0373 (0.0433) loss_seg: 0.0409 (0.0465) loss_lansim: 0.0780 (0.0823) loss_contra: 0.0000 (0.0016) time: 2.5640 data: 0.0025 max mem: 31671 Epoch: [28] [1810/5278] eta: 2:27:56 lr: 1.64831429470106e-05 loss: 0.0373 (0.0433) loss_seg: 0.0406 (0.0465) loss_lansim: 0.0777 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5755 data: 0.0026 max mem: 31671 Epoch: [28] [1820/5278] eta: 2:27:32 lr: 1.648073174031107e-05 loss: 0.0373 (0.0433) loss_seg: 0.0406 (0.0464) loss_lansim: 0.0793 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5878 data: 0.0025 max mem: 31671 Epoch: [28] [1830/5278] eta: 2:27:06 lr: 1.647832049441417e-05 loss: 0.0373 (0.0433) loss_seg: 0.0406 (0.0464) loss_lansim: 0.0800 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5940 data: 0.0026 max mem: 31671 Epoch: [28] [1840/5278] eta: 2:26:39 lr: 1.6475909209312887e-05 loss: 0.0370 (0.0433) loss_seg: 0.0401 (0.0465) loss_lansim: 0.0804 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5870 data: 0.0025 max mem: 31671 Epoch: [28] [1850/5278] eta: 2:26:13 lr: 1.6473497885000212e-05 loss: 0.0373 (0.0434) loss_seg: 0.0406 (0.0465) loss_lansim: 0.0820 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5770 data: 0.0026 max mem: 31671 Epoch: [28] [1860/5278] eta: 2:25:47 lr: 1.6471086521469126e-05 loss: 0.0398 (0.0434) loss_seg: 0.0434 (0.0465) loss_lansim: 0.0823 (0.0823) loss_contra: 0.0000 (0.0017) time: 2.5666 data: 0.0025 max mem: 31671 Epoch: [28] [1870/5278] eta: 2:25:21 lr: 1.6468675118712608e-05 loss: 0.0405 (0.0434) loss_seg: 0.0434 (0.0466) loss_lansim: 0.0823 (0.0824) loss_contra: 0.0000 (0.0017) time: 2.5559 data: 0.0026 max mem: 31671 Epoch: [28] [1880/5278] eta: 2:24:57 lr: 1.646626367672365e-05 loss: 0.0393 (0.0434) loss_seg: 0.0425 (0.0465) loss_lansim: 0.0820 (0.0824) loss_contra: 0.0000 (0.0017) time: 2.5620 data: 0.0026 max mem: 31671 Epoch: [28] [1890/5278] eta: 2:24:31 lr: 1.646385219549522e-05 loss: 0.0374 (0.0433) loss_seg: 0.0401 (0.0465) loss_lansim: 0.0819 (0.0824) loss_contra: 0.0001 (0.0017) time: 2.5617 data: 0.0026 max mem: 31671 Epoch: [28] [1900/5278] eta: 2:24:05 lr: 1.6461440675020292e-05 loss: 0.0356 (0.0432) loss_seg: 0.0387 (0.0464) loss_lansim: 0.0822 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5575 data: 0.0026 max mem: 31671 Epoch: [28] [1910/5278] eta: 2:23:39 lr: 1.6459029115291842e-05 loss: 0.0374 (0.0432) loss_seg: 0.0397 (0.0464) loss_lansim: 0.0828 (0.0824) loss_contra: 0.0001 (0.0016) time: 2.5527 data: 0.0026 max mem: 31671 Epoch: [28] [1920/5278] eta: 2:23:14 lr: 1.6456617516302842e-05 loss: 0.0404 (0.0432) loss_seg: 0.0431 (0.0464) loss_lansim: 0.0839 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5479 data: 0.0026 max mem: 31671 Epoch: [28] [1930/5278] eta: 2:22:49 lr: 1.6454205878046265e-05 loss: 0.0407 (0.0432) loss_seg: 0.0444 (0.0464) loss_lansim: 0.0829 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5518 data: 0.0026 max mem: 31671 Epoch: [28] [1940/5278] eta: 2:22:24 lr: 1.645179420051506e-05 loss: 0.0396 (0.0432) loss_seg: 0.0428 (0.0463) loss_lansim: 0.0829 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5654 data: 0.0026 max mem: 31671 Epoch: [28] [1950/5278] eta: 2:21:59 lr: 1.6449382483702206e-05 loss: 0.0389 (0.0433) loss_seg: 0.0421 (0.0465) loss_lansim: 0.0829 (0.0824) loss_contra: 0.0001 (0.0016) time: 2.5662 data: 0.0026 max mem: 31671 Epoch: [28] [1960/5278] eta: 2:21:33 lr: 1.6446970727600656e-05 loss: 0.0354 (0.0433) loss_seg: 0.0387 (0.0465) loss_lansim: 0.0829 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5671 data: 0.0025 max mem: 31671 Epoch: [28] [1970/5278] eta: 2:21:07 lr: 1.6444558932203374e-05 loss: 0.0349 (0.0433) loss_seg: 0.0381 (0.0465) loss_lansim: 0.0822 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5681 data: 0.0025 max mem: 31671 Epoch: [28] [1980/5278] eta: 2:20:41 lr: 1.644214709750331e-05 loss: 0.0354 (0.0433) loss_seg: 0.0387 (0.0465) loss_lansim: 0.0811 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5624 data: 0.0025 max mem: 31671 Epoch: [28] [1990/5278] eta: 2:20:15 lr: 1.6439735223493418e-05 loss: 0.0365 (0.0433) loss_seg: 0.0396 (0.0465) loss_lansim: 0.0822 (0.0824) loss_contra: 0.0000 (0.0016) time: 2.5589 data: 0.0024 max mem: 31671 Epoch: [28] [2000/5278] eta: 2:19:49 lr: 1.6437323310166652e-05 loss: 0.0383 (0.0433) loss_seg: 0.0417 (0.0465) loss_lansim: 0.0811 (0.0823) loss_contra: 0.0000 (0.0016) time: 2.5552 data: 0.0024 max mem: 31671 Epoch: [28] [2010/5278] eta: 2:19:21 lr: 1.6434911357515965e-05 loss: 0.0358 (0.0433) loss_seg: 0.0388 (0.0464) loss_lansim: 0.0810 (0.0823) loss_contra: 0.0000 (0.0016) time: 2.5457 data: 0.0024 max mem: 31671 Epoch: [28] [2020/5278] eta: 2:18:55 lr: 1.6432499365534296e-05 loss: 0.0354 (0.0432) loss_seg: 0.0386 (0.0464) loss_lansim: 0.0795 (0.0823) loss_contra: 0.0000 (0.0016) time: 2.5429 data: 0.0024 max mem: 31671 Epoch: [28] [2030/5278] eta: 2:18:29 lr: 1.6430087334214588e-05 loss: 0.0355 (0.0432) loss_seg: 0.0386 (0.0464) loss_lansim: 0.0793 (0.0823) loss_contra: 0.0000 (0.0016) time: 2.5357 data: 0.0024 max mem: 31671 Epoch: [28] [2040/5278] eta: 2:18:04 lr: 1.6427675263549785e-05 loss: 0.0365 (0.0433) loss_seg: 0.0393 (0.0464) loss_lansim: 0.0792 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [28] [2050/5278] eta: 2:17:38 lr: 1.642526315353283e-05 loss: 0.0359 (0.0433) loss_seg: 0.0388 (0.0464) loss_lansim: 0.0783 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [28] [2060/5278] eta: 2:17:13 lr: 1.6422851004156663e-05 loss: 0.0364 (0.0433) loss_seg: 0.0388 (0.0465) loss_lansim: 0.0779 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [28] [2070/5278] eta: 2:16:48 lr: 1.6420438815414204e-05 loss: 0.0365 (0.0433) loss_seg: 0.0393 (0.0465) loss_lansim: 0.0783 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [28] [2080/5278] eta: 2:16:22 lr: 1.641802658729839e-05 loss: 0.0371 (0.0434) loss_seg: 0.0399 (0.0465) loss_lansim: 0.0779 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5407 data: 0.0025 max mem: 31671 Epoch: [28] [2090/5278] eta: 2:15:57 lr: 1.6415614319802155e-05 loss: 0.0379 (0.0434) loss_seg: 0.0399 (0.0465) loss_lansim: 0.0779 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [28] [2100/5278] eta: 2:15:31 lr: 1.641320201291843e-05 loss: 0.0384 (0.0434) loss_seg: 0.0401 (0.0465) loss_lansim: 0.0779 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [28] [2110/5278] eta: 2:15:06 lr: 1.6410789666640126e-05 loss: 0.0402 (0.0434) loss_seg: 0.0424 (0.0465) loss_lansim: 0.0793 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [28] [2120/5278] eta: 2:14:41 lr: 1.6408377280960175e-05 loss: 0.0419 (0.0435) loss_seg: 0.0439 (0.0466) loss_lansim: 0.0794 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5703 data: 0.0025 max mem: 31671 Epoch: [28] [2130/5278] eta: 2:14:15 lr: 1.6405964855871492e-05 loss: 0.0421 (0.0435) loss_seg: 0.0445 (0.0467) loss_lansim: 0.0791 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5723 data: 0.0025 max mem: 31671 Epoch: [28] [2140/5278] eta: 2:13:50 lr: 1.6403552391367e-05 loss: 0.0419 (0.0435) loss_seg: 0.0439 (0.0466) loss_lansim: 0.0800 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5694 data: 0.0025 max mem: 31671 Epoch: [28] [2150/5278] eta: 2:13:24 lr: 1.640113988743961e-05 loss: 0.0419 (0.0435) loss_seg: 0.0441 (0.0466) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5671 data: 0.0025 max mem: 31671 Epoch: [28] [2160/5278] eta: 2:12:58 lr: 1.6398727344082232e-05 loss: 0.0421 (0.0435) loss_seg: 0.0445 (0.0466) loss_lansim: 0.0806 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5648 data: 0.0025 max mem: 31671 Epoch: [28] [2170/5278] eta: 2:12:33 lr: 1.6396314761287777e-05 loss: 0.0419 (0.0435) loss_seg: 0.0445 (0.0466) loss_lansim: 0.0805 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5663 data: 0.0026 max mem: 31671 Epoch: [28] [2180/5278] eta: 2:12:07 lr: 1.6393902139049164e-05 loss: 0.0400 (0.0435) loss_seg: 0.0429 (0.0466) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5652 data: 0.0026 max mem: 31671 Epoch: [28] [2190/5278] eta: 2:11:43 lr: 1.6391489477359282e-05 loss: 0.0392 (0.0434) loss_seg: 0.0426 (0.0466) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5665 data: 0.0026 max mem: 31671 Epoch: [28] [2200/5278] eta: 2:11:17 lr: 1.6389076776211038e-05 loss: 0.0390 (0.0434) loss_seg: 0.0422 (0.0466) loss_lansim: 0.0806 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5728 data: 0.0026 max mem: 31671 Epoch: [28] [2210/5278] eta: 2:10:52 lr: 1.6386664035597334e-05 loss: 0.0380 (0.0434) loss_seg: 0.0410 (0.0466) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5745 data: 0.0026 max mem: 31671 Epoch: [28] [2220/5278] eta: 2:10:26 lr: 1.6384251255511074e-05 loss: 0.0376 (0.0434) loss_seg: 0.0403 (0.0465) loss_lansim: 0.0806 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5615 data: 0.0026 max mem: 31671 Epoch: [28] [2230/5278] eta: 2:10:01 lr: 1.638183843594514e-05 loss: 0.0367 (0.0433) loss_seg: 0.0382 (0.0465) loss_lansim: 0.0812 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5701 data: 0.0026 max mem: 31671 Epoch: [28] [2240/5278] eta: 2:09:35 lr: 1.6379425576892432e-05 loss: 0.0370 (0.0433) loss_seg: 0.0401 (0.0465) loss_lansim: 0.0806 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5662 data: 0.0026 max mem: 31671 Epoch: [28] [2250/5278] eta: 2:09:09 lr: 1.6377012678345843e-05 loss: 0.0370 (0.0434) loss_seg: 0.0386 (0.0465) loss_lansim: 0.0812 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [28] [2260/5278] eta: 2:08:44 lr: 1.6374599740298263e-05 loss: 0.0365 (0.0433) loss_seg: 0.0382 (0.0464) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5700 data: 0.0026 max mem: 31671 Epoch: [28] [2270/5278] eta: 2:08:20 lr: 1.6372186762742568e-05 loss: 0.0335 (0.0432) loss_seg: 0.0367 (0.0464) loss_lansim: 0.0812 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5766 data: 0.0025 max mem: 31671 Epoch: [28] [2280/5278] eta: 2:07:54 lr: 1.6369773745671645e-05 loss: 0.0335 (0.0432) loss_seg: 0.0369 (0.0463) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5791 data: 0.0025 max mem: 31671 Epoch: [28] [2290/5278] eta: 2:07:29 lr: 1.6367360689078374e-05 loss: 0.0346 (0.0432) loss_seg: 0.0373 (0.0463) loss_lansim: 0.0802 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5772 data: 0.0025 max mem: 31671 Epoch: [28] [2300/5278] eta: 2:07:03 lr: 1.6364947592955642e-05 loss: 0.0335 (0.0432) loss_seg: 0.0369 (0.0463) loss_lansim: 0.0792 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5736 data: 0.0025 max mem: 31671 Epoch: [28] [2310/5278] eta: 2:06:36 lr: 1.6362534457296318e-05 loss: 0.0335 (0.0432) loss_seg: 0.0363 (0.0463) loss_lansim: 0.0792 (0.0822) loss_contra: 0.0000 (0.0016) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [28] [2320/5278] eta: 2:06:10 lr: 1.636012128209327e-05 loss: 0.0329 (0.0431) loss_seg: 0.0358 (0.0462) loss_lansim: 0.0788 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5605 data: 0.0025 max mem: 31671 Epoch: [28] [2330/5278] eta: 2:05:44 lr: 1.6357708067339376e-05 loss: 0.0335 (0.0431) loss_seg: 0.0363 (0.0462) loss_lansim: 0.0785 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [28] [2340/5278] eta: 2:05:19 lr: 1.63552948130275e-05 loss: 0.0335 (0.0431) loss_seg: 0.0363 (0.0462) loss_lansim: 0.0785 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [28] [2350/5278] eta: 2:04:54 lr: 1.6352881519150517e-05 loss: 0.0335 (0.0431) loss_seg: 0.0361 (0.0462) loss_lansim: 0.0783 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5645 data: 0.0025 max mem: 31671 Epoch: [28] [2360/5278] eta: 2:04:28 lr: 1.635046818570128e-05 loss: 0.0335 (0.0431) loss_seg: 0.0361 (0.0462) loss_lansim: 0.0785 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5586 data: 0.0026 max mem: 31671 Epoch: [28] [2370/5278] eta: 2:04:04 lr: 1.634805481267265e-05 loss: 0.0339 (0.0431) loss_seg: 0.0369 (0.0462) loss_lansim: 0.0792 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5656 data: 0.0026 max mem: 31671 Epoch: [28] [2380/5278] eta: 2:03:39 lr: 1.6345641400057493e-05 loss: 0.0348 (0.0432) loss_seg: 0.0374 (0.0463) loss_lansim: 0.0792 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5647 data: 0.0026 max mem: 31671 Epoch: [28] [2390/5278] eta: 2:03:13 lr: 1.6343227947848666e-05 loss: 0.0339 (0.0432) loss_seg: 0.0369 (0.0463) loss_lansim: 0.0792 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5604 data: 0.0026 max mem: 31671 Epoch: [28] [2400/5278] eta: 2:02:48 lr: 1.634081445603901e-05 loss: 0.0339 (0.0431) loss_seg: 0.0363 (0.0462) loss_lansim: 0.0784 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5647 data: 0.0026 max mem: 31671 Epoch: [28] [2410/5278] eta: 2:02:22 lr: 1.6338400924621388e-05 loss: 0.0347 (0.0431) loss_seg: 0.0369 (0.0462) loss_lansim: 0.0781 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5696 data: 0.0026 max mem: 31671 Epoch: [28] [2420/5278] eta: 2:01:56 lr: 1.6335987353588644e-05 loss: 0.0355 (0.0431) loss_seg: 0.0375 (0.0462) loss_lansim: 0.0781 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5771 data: 0.0026 max mem: 31671 Epoch: [28] [2430/5278] eta: 2:01:30 lr: 1.633357374293363e-05 loss: 0.0356 (0.0431) loss_seg: 0.0387 (0.0462) loss_lansim: 0.0781 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5784 data: 0.0026 max mem: 31671 Epoch: [28] [2440/5278] eta: 2:01:04 lr: 1.6331160092649183e-05 loss: 0.0353 (0.0431) loss_seg: 0.0375 (0.0462) loss_lansim: 0.0787 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [28] [2450/5278] eta: 2:00:40 lr: 1.632874640272814e-05 loss: 0.0352 (0.0431) loss_seg: 0.0374 (0.0462) loss_lansim: 0.0791 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5768 data: 0.0025 max mem: 31671 Epoch: [28] [2460/5278] eta: 2:00:14 lr: 1.6326332673163356e-05 loss: 0.0353 (0.0431) loss_seg: 0.0375 (0.0462) loss_lansim: 0.0775 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5796 data: 0.0025 max mem: 31671 Epoch: [28] [2470/5278] eta: 1:59:48 lr: 1.6323918903947656e-05 loss: 0.0347 (0.0431) loss_seg: 0.0368 (0.0462) loss_lansim: 0.0775 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [28] [2480/5278] eta: 1:59:23 lr: 1.632150509507387e-05 loss: 0.0345 (0.0431) loss_seg: 0.0366 (0.0462) loss_lansim: 0.0773 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5614 data: 0.0025 max mem: 31671 Epoch: [28] [2490/5278] eta: 1:58:57 lr: 1.631909124653484e-05 loss: 0.0353 (0.0431) loss_seg: 0.0372 (0.0462) loss_lansim: 0.0775 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [28] [2500/5278] eta: 1:58:32 lr: 1.6316677358323386e-05 loss: 0.0359 (0.0431) loss_seg: 0.0392 (0.0463) loss_lansim: 0.0787 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5614 data: 0.0025 max mem: 31671 Epoch: [28] [2510/5278] eta: 1:58:06 lr: 1.6314263430432348e-05 loss: 0.0359 (0.0431) loss_seg: 0.0391 (0.0462) loss_lansim: 0.0788 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5674 data: 0.0025 max mem: 31671 Epoch: [28] [2520/5278] eta: 1:57:41 lr: 1.6311849462854533e-05 loss: 0.0372 (0.0431) loss_seg: 0.0395 (0.0462) loss_lansim: 0.0797 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5709 data: 0.0026 max mem: 31671 Epoch: [28] [2530/5278] eta: 1:57:16 lr: 1.630943545558277e-05 loss: 0.0376 (0.0431) loss_seg: 0.0396 (0.0463) loss_lansim: 0.0807 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5826 data: 0.0026 max mem: 31671 Epoch: [28] [2540/5278] eta: 1:56:51 lr: 1.630702140860988e-05 loss: 0.0377 (0.0432) loss_seg: 0.0398 (0.0463) loss_lansim: 0.0822 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5822 data: 0.0025 max mem: 31671 Epoch: [28] [2550/5278] eta: 1:56:26 lr: 1.6304607321928674e-05 loss: 0.0377 (0.0433) loss_seg: 0.0405 (0.0464) loss_lansim: 0.0822 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5851 data: 0.0026 max mem: 31671 Epoch: [28] [2560/5278] eta: 1:56:01 lr: 1.6302193195531978e-05 loss: 0.0386 (0.0433) loss_seg: 0.0414 (0.0464) loss_lansim: 0.0829 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5850 data: 0.0026 max mem: 31671 Epoch: [28] [2570/5278] eta: 1:55:36 lr: 1.629977902941259e-05 loss: 0.0401 (0.0433) loss_seg: 0.0430 (0.0465) loss_lansim: 0.0822 (0.0820) loss_contra: 0.0000 (0.0016) time: 2.5917 data: 0.0026 max mem: 31671 Epoch: [28] [2580/5278] eta: 1:55:10 lr: 1.6297364823563323e-05 loss: 0.0410 (0.0433) loss_seg: 0.0447 (0.0465) loss_lansim: 0.0829 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5910 data: 0.0026 max mem: 31671 Epoch: [28] [2590/5278] eta: 1:54:45 lr: 1.6294950577976986e-05 loss: 0.0418 (0.0433) loss_seg: 0.0452 (0.0465) loss_lansim: 0.0829 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5933 data: 0.0026 max mem: 31671 Epoch: [28] [2600/5278] eta: 1:54:19 lr: 1.629253629264639e-05 loss: 0.0408 (0.0433) loss_seg: 0.0442 (0.0464) loss_lansim: 0.0820 (0.0821) loss_contra: 0.0000 (0.0016) time: 2.5941 data: 0.0026 max mem: 31671 Epoch: [28] [2610/5278] eta: 1:53:53 lr: 1.6290121967564322e-05 loss: 0.0405 (0.0432) loss_seg: 0.0430 (0.0464) loss_lansim: 0.0820 (0.0821) loss_contra: 0.0000 (0.0018) time: 2.5878 data: 0.0026 max mem: 31671 Epoch: [28] [2620/5278] eta: 1:53:27 lr: 1.628770760272359e-05 loss: 0.0393 (0.0432) loss_seg: 0.0430 (0.0464) loss_lansim: 0.0823 (0.0821) loss_contra: 0.0000 (0.0018) time: 2.5782 data: 0.0026 max mem: 31671 Epoch: [28] [2630/5278] eta: 1:53:02 lr: 1.6285293198116987e-05 loss: 0.0381 (0.0432) loss_seg: 0.0415 (0.0463) loss_lansim: 0.0823 (0.0821) loss_contra: 0.0000 (0.0018) time: 2.5795 data: 0.0026 max mem: 31671 Epoch: [28] [2640/5278] eta: 1:52:36 lr: 1.6282878753737316e-05 loss: 0.0379 (0.0432) loss_seg: 0.0413 (0.0463) loss_lansim: 0.0820 (0.0821) loss_contra: 0.0000 (0.0019) time: 2.5744 data: 0.0026 max mem: 31671 Epoch: [28] [2650/5278] eta: 1:52:10 lr: 1.6280464269577356e-05 loss: 0.0378 (0.0431) loss_seg: 0.0413 (0.0463) loss_lansim: 0.0825 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5616 data: 0.0026 max mem: 31671 Epoch: [28] [2660/5278] eta: 1:51:44 lr: 1.62780497456299e-05 loss: 0.0376 (0.0432) loss_seg: 0.0404 (0.0463) loss_lansim: 0.0823 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5565 data: 0.0025 max mem: 31671 Epoch: [28] [2670/5278] eta: 1:51:18 lr: 1.6275635181887738e-05 loss: 0.0361 (0.0431) loss_seg: 0.0388 (0.0463) loss_lansim: 0.0835 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [28] [2680/5278] eta: 1:50:53 lr: 1.627322057834366e-05 loss: 0.0359 (0.0431) loss_seg: 0.0387 (0.0463) loss_lansim: 0.0838 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [28] [2690/5278] eta: 1:50:28 lr: 1.6270805934990435e-05 loss: 0.0339 (0.0431) loss_seg: 0.0363 (0.0462) loss_lansim: 0.0846 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5556 data: 0.0025 max mem: 31671 Epoch: [28] [2700/5278] eta: 1:50:03 lr: 1.6268391251820846e-05 loss: 0.0354 (0.0431) loss_seg: 0.0380 (0.0463) loss_lansim: 0.0852 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5577 data: 0.0025 max mem: 31671 Epoch: [28] [2710/5278] eta: 1:49:37 lr: 1.6265976528827674e-05 loss: 0.0354 (0.0431) loss_seg: 0.0369 (0.0462) loss_lansim: 0.0850 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5613 data: 0.0025 max mem: 31671 Epoch: [28] [2720/5278] eta: 1:49:12 lr: 1.6263561766003696e-05 loss: 0.0354 (0.0430) loss_seg: 0.0369 (0.0462) loss_lansim: 0.0838 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5699 data: 0.0025 max mem: 31671 Epoch: [28] [2730/5278] eta: 1:48:47 lr: 1.6261146963341676e-05 loss: 0.0359 (0.0431) loss_seg: 0.0369 (0.0462) loss_lansim: 0.0837 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5667 data: 0.0025 max mem: 31671 Epoch: [28] [2740/5278] eta: 1:48:21 lr: 1.625873212083438e-05 loss: 0.0370 (0.0431) loss_seg: 0.0397 (0.0462) loss_lansim: 0.0838 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5716 data: 0.0026 max mem: 31671 Epoch: [28] [2750/5278] eta: 1:47:55 lr: 1.6256317238474583e-05 loss: 0.0363 (0.0430) loss_seg: 0.0380 (0.0462) loss_lansim: 0.0832 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5653 data: 0.0025 max mem: 31671 Epoch: [28] [2760/5278] eta: 1:47:28 lr: 1.6253902316255054e-05 loss: 0.0369 (0.0432) loss_seg: 0.0390 (0.0463) loss_lansim: 0.0833 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5626 data: 0.0026 max mem: 31671 Epoch: [28] [2770/5278] eta: 1:47:02 lr: 1.625148735416854e-05 loss: 0.0390 (0.0432) loss_seg: 0.0414 (0.0463) loss_lansim: 0.0828 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5617 data: 0.0026 max mem: 31671 Epoch: [28] [2780/5278] eta: 1:46:37 lr: 1.624907235220781e-05 loss: 0.0374 (0.0433) loss_seg: 0.0398 (0.0464) loss_lansim: 0.0832 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5692 data: 0.0025 max mem: 31671 Epoch: [28] [2790/5278] eta: 1:46:12 lr: 1.6246657310365615e-05 loss: 0.0390 (0.0433) loss_seg: 0.0416 (0.0464) loss_lansim: 0.0822 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5645 data: 0.0025 max mem: 31671 Epoch: [28] [2800/5278] eta: 1:45:47 lr: 1.6244242228634715e-05 loss: 0.0370 (0.0432) loss_seg: 0.0394 (0.0464) loss_lansim: 0.0813 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5606 data: 0.0025 max mem: 31671 Epoch: [28] [2810/5278] eta: 1:45:20 lr: 1.6241827107007862e-05 loss: 0.0387 (0.0432) loss_seg: 0.0411 (0.0464) loss_lansim: 0.0816 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [28] [2820/5278] eta: 1:44:54 lr: 1.62394119454778e-05 loss: 0.0392 (0.0432) loss_seg: 0.0414 (0.0464) loss_lansim: 0.0828 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5492 data: 0.0025 max mem: 31671 Epoch: [28] [2830/5278] eta: 1:44:29 lr: 1.6236996744037274e-05 loss: 0.0399 (0.0432) loss_seg: 0.0426 (0.0464) loss_lansim: 0.0828 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [28] [2840/5278] eta: 1:44:03 lr: 1.6234581502679035e-05 loss: 0.0387 (0.0432) loss_seg: 0.0411 (0.0463) loss_lansim: 0.0816 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [28] [2850/5278] eta: 1:43:37 lr: 1.623216622139583e-05 loss: 0.0396 (0.0432) loss_seg: 0.0415 (0.0463) loss_lansim: 0.0828 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5457 data: 0.0025 max mem: 31671 Epoch: [28] [2860/5278] eta: 1:43:12 lr: 1.6229750900180377e-05 loss: 0.0380 (0.0432) loss_seg: 0.0400 (0.0463) loss_lansim: 0.0827 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5589 data: 0.0025 max mem: 31671 Epoch: [28] [2870/5278] eta: 1:42:46 lr: 1.622733553902543e-05 loss: 0.0377 (0.0432) loss_seg: 0.0400 (0.0463) loss_lansim: 0.0832 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5599 data: 0.0026 max mem: 31671 Epoch: [28] [2880/5278] eta: 1:42:20 lr: 1.6224920137923716e-05 loss: 0.0377 (0.0431) loss_seg: 0.0403 (0.0463) loss_lansim: 0.0832 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5517 data: 0.0026 max mem: 31671 Epoch: [28] [2890/5278] eta: 1:41:55 lr: 1.6222504696867975e-05 loss: 0.0367 (0.0431) loss_seg: 0.0392 (0.0462) loss_lansim: 0.0832 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5456 data: 0.0026 max mem: 31671 Epoch: [28] [2900/5278] eta: 1:41:29 lr: 1.622008921585092e-05 loss: 0.0371 (0.0431) loss_seg: 0.0392 (0.0462) loss_lansim: 0.0828 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [28] [2910/5278] eta: 1:41:03 lr: 1.6217673694865293e-05 loss: 0.0373 (0.0433) loss_seg: 0.0400 (0.0464) loss_lansim: 0.0823 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5458 data: 0.0026 max mem: 31671 Epoch: [28] [2920/5278] eta: 1:40:38 lr: 1.621525813390381e-05 loss: 0.0373 (0.0433) loss_seg: 0.0403 (0.0464) loss_lansim: 0.0823 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5564 data: 0.0025 max mem: 31671 Epoch: [28] [2930/5278] eta: 1:40:12 lr: 1.6212842532959195e-05 loss: 0.0380 (0.0433) loss_seg: 0.0407 (0.0464) loss_lansim: 0.0828 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5471 data: 0.0025 max mem: 31671 Epoch: [28] [2940/5278] eta: 1:39:47 lr: 1.6210426892024167e-05 loss: 0.0389 (0.0433) loss_seg: 0.0417 (0.0464) loss_lansim: 0.0830 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5537 data: 0.0026 max mem: 31671 Epoch: [28] [2950/5278] eta: 1:39:21 lr: 1.620801121109144e-05 loss: 0.0387 (0.0433) loss_seg: 0.0415 (0.0464) loss_lansim: 0.0815 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5557 data: 0.0025 max mem: 31671 Epoch: [28] [2960/5278] eta: 1:38:56 lr: 1.6205595490153727e-05 loss: 0.0389 (0.0433) loss_seg: 0.0427 (0.0464) loss_lansim: 0.0806 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5576 data: 0.0025 max mem: 31671 Epoch: [28] [2970/5278] eta: 1:38:30 lr: 1.620317972920375e-05 loss: 0.0387 (0.0433) loss_seg: 0.0424 (0.0464) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5630 data: 0.0025 max mem: 31671 Epoch: [28] [2980/5278] eta: 1:38:04 lr: 1.62007639282342e-05 loss: 0.0389 (0.0433) loss_seg: 0.0428 (0.0464) loss_lansim: 0.0801 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [28] [2990/5278] eta: 1:37:39 lr: 1.6198348087237795e-05 loss: 0.0391 (0.0433) loss_seg: 0.0430 (0.0464) loss_lansim: 0.0801 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5648 data: 0.0025 max mem: 31671 Epoch: [28] [3000/5278] eta: 1:37:14 lr: 1.6195932206207233e-05 loss: 0.0389 (0.0433) loss_seg: 0.0427 (0.0464) loss_lansim: 0.0803 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5794 data: 0.0026 max mem: 31671 Epoch: [28] [3010/5278] eta: 1:36:48 lr: 1.619351628513523e-05 loss: 0.0381 (0.0433) loss_seg: 0.0417 (0.0464) loss_lansim: 0.0801 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5819 data: 0.0026 max mem: 31671 Epoch: [28] [3020/5278] eta: 1:36:23 lr: 1.619110032401446e-05 loss: 0.0381 (0.0433) loss_seg: 0.0417 (0.0464) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5708 data: 0.0026 max mem: 31671 Epoch: [28] [3030/5278] eta: 1:35:57 lr: 1.6188684322837635e-05 loss: 0.0365 (0.0433) loss_seg: 0.0399 (0.0464) loss_lansim: 0.0805 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5747 data: 0.0026 max mem: 31671 Epoch: [28] [3040/5278] eta: 1:35:31 lr: 1.6186268281597445e-05 loss: 0.0365 (0.0433) loss_seg: 0.0396 (0.0464) loss_lansim: 0.0809 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5723 data: 0.0026 max mem: 31671 Epoch: [28] [3050/5278] eta: 1:35:06 lr: 1.618385220028658e-05 loss: 0.0367 (0.0433) loss_seg: 0.0400 (0.0464) loss_lansim: 0.0823 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5790 data: 0.0026 max mem: 31671 Epoch: [28] [3060/5278] eta: 1:34:41 lr: 1.6181436078897737e-05 loss: 0.0367 (0.0433) loss_seg: 0.0400 (0.0464) loss_lansim: 0.0833 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5781 data: 0.0026 max mem: 31671 Epoch: [28] [3070/5278] eta: 1:34:16 lr: 1.6179019917423588e-05 loss: 0.0367 (0.0432) loss_seg: 0.0399 (0.0464) loss_lansim: 0.0833 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5836 data: 0.0026 max mem: 31671 Epoch: [28] [3080/5278] eta: 1:33:50 lr: 1.6176603715856822e-05 loss: 0.0362 (0.0432) loss_seg: 0.0376 (0.0463) loss_lansim: 0.0844 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5949 data: 0.0026 max mem: 31671 Epoch: [28] [3090/5278] eta: 1:33:25 lr: 1.617418747419012e-05 loss: 0.0359 (0.0432) loss_seg: 0.0372 (0.0463) loss_lansim: 0.0833 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5972 data: 0.0026 max mem: 31671 Epoch: [28] [3100/5278] eta: 1:33:00 lr: 1.6171771192416166e-05 loss: 0.0362 (0.0432) loss_seg: 0.0386 (0.0463) loss_lansim: 0.0826 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5857 data: 0.0026 max mem: 31671 Epoch: [28] [3110/5278] eta: 1:32:34 lr: 1.6169354870527624e-05 loss: 0.0362 (0.0432) loss_seg: 0.0386 (0.0463) loss_lansim: 0.0832 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5832 data: 0.0026 max mem: 31671 Epoch: [28] [3120/5278] eta: 1:32:09 lr: 1.6166938508517175e-05 loss: 0.0341 (0.0431) loss_seg: 0.0358 (0.0463) loss_lansim: 0.0825 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5909 data: 0.0025 max mem: 31671 Epoch: [28] [3130/5278] eta: 1:31:43 lr: 1.6164522106377487e-05 loss: 0.0353 (0.0432) loss_seg: 0.0369 (0.0463) loss_lansim: 0.0816 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5856 data: 0.0025 max mem: 31671 Epoch: [28] [3140/5278] eta: 1:31:16 lr: 1.6162105664101233e-05 loss: 0.0354 (0.0431) loss_seg: 0.0374 (0.0463) loss_lansim: 0.0807 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5786 data: 0.0025 max mem: 31671 Epoch: [28] [3150/5278] eta: 1:30:51 lr: 1.6159689181681066e-05 loss: 0.0362 (0.0432) loss_seg: 0.0389 (0.0463) loss_lansim: 0.0807 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5713 data: 0.0025 max mem: 31671 Epoch: [28] [3160/5278] eta: 1:30:25 lr: 1.6157272659109664e-05 loss: 0.0353 (0.0432) loss_seg: 0.0369 (0.0463) loss_lansim: 0.0806 (0.0822) loss_contra: 0.0000 (0.0018) time: 2.5686 data: 0.0025 max mem: 31671 Epoch: [28] [3170/5278] eta: 1:29:59 lr: 1.6154856096379674e-05 loss: 0.0355 (0.0432) loss_seg: 0.0374 (0.0463) loss_lansim: 0.0807 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5544 data: 0.0026 max mem: 31671 Epoch: [28] [3180/5278] eta: 1:29:34 lr: 1.6152439493483768e-05 loss: 0.0362 (0.0432) loss_seg: 0.0394 (0.0463) loss_lansim: 0.0807 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5525 data: 0.0026 max mem: 31671 Epoch: [28] [3190/5278] eta: 1:29:09 lr: 1.6150022850414587e-05 loss: 0.0358 (0.0431) loss_seg: 0.0389 (0.0462) loss_lansim: 0.0814 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5550 data: 0.0026 max mem: 31671 Epoch: [28] [3200/5278] eta: 1:28:43 lr: 1.614760616716479e-05 loss: 0.0355 (0.0431) loss_seg: 0.0384 (0.0462) loss_lansim: 0.0827 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5577 data: 0.0026 max mem: 31671 Epoch: [28] [3210/5278] eta: 1:28:18 lr: 1.6145189443727024e-05 loss: 0.0370 (0.0431) loss_seg: 0.0392 (0.0462) loss_lansim: 0.0818 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5733 data: 0.0026 max mem: 31671 Epoch: [28] [3220/5278] eta: 1:27:52 lr: 1.614277268009395e-05 loss: 0.0381 (0.0431) loss_seg: 0.0414 (0.0462) loss_lansim: 0.0827 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5618 data: 0.0026 max mem: 31671 Epoch: [28] [3230/5278] eta: 1:27:27 lr: 1.6140355876258192e-05 loss: 0.0378 (0.0431) loss_seg: 0.0406 (0.0462) loss_lansim: 0.0830 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5636 data: 0.0026 max mem: 31671 Epoch: [28] [3240/5278] eta: 1:27:01 lr: 1.6137939032212406e-05 loss: 0.0374 (0.0431) loss_seg: 0.0406 (0.0462) loss_lansim: 0.0833 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5676 data: 0.0026 max mem: 31671 Epoch: [28] [3250/5278] eta: 1:26:35 lr: 1.6135522147949224e-05 loss: 0.0375 (0.0431) loss_seg: 0.0403 (0.0462) loss_lansim: 0.0833 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5740 data: 0.0026 max mem: 31671 Epoch: [28] [3260/5278] eta: 1:26:10 lr: 1.6133105223461295e-05 loss: 0.0378 (0.0431) loss_seg: 0.0411 (0.0462) loss_lansim: 0.0833 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5743 data: 0.0026 max mem: 31671 Epoch: [28] [3270/5278] eta: 1:25:44 lr: 1.613068825874124e-05 loss: 0.0374 (0.0432) loss_seg: 0.0384 (0.0463) loss_lansim: 0.0833 (0.0823) loss_contra: 0.0000 (0.0018) time: 2.5796 data: 0.0026 max mem: 31671 Epoch: [28] [3280/5278] eta: 1:25:18 lr: 1.6128271253781696e-05 loss: 0.0381 (0.0432) loss_seg: 0.0411 (0.0463) loss_lansim: 0.0833 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5709 data: 0.0026 max mem: 31671 Epoch: [28] [3290/5278] eta: 1:24:53 lr: 1.6125854208575295e-05 loss: 0.0381 (0.0432) loss_seg: 0.0411 (0.0463) loss_lansim: 0.0824 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5650 data: 0.0026 max mem: 31671 Epoch: [28] [3300/5278] eta: 1:24:27 lr: 1.6123437123114663e-05 loss: 0.0387 (0.0432) loss_seg: 0.0418 (0.0464) loss_lansim: 0.0820 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5639 data: 0.0026 max mem: 31671 Epoch: [28] [3310/5278] eta: 1:24:01 lr: 1.6121019997392424e-05 loss: 0.0401 (0.0433) loss_seg: 0.0426 (0.0464) loss_lansim: 0.0818 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5511 data: 0.0026 max mem: 31671 Epoch: [28] [3320/5278] eta: 1:23:36 lr: 1.61186028314012e-05 loss: 0.0388 (0.0433) loss_seg: 0.0411 (0.0465) loss_lansim: 0.0815 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5656 data: 0.0026 max mem: 31671 Epoch: [28] [3330/5278] eta: 1:23:10 lr: 1.6116185625133607e-05 loss: 0.0375 (0.0433) loss_seg: 0.0405 (0.0464) loss_lansim: 0.0817 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5628 data: 0.0026 max mem: 31671 Epoch: [28] [3340/5278] eta: 1:22:45 lr: 1.6113768378582264e-05 loss: 0.0375 (0.0433) loss_seg: 0.0405 (0.0465) loss_lansim: 0.0818 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5728 data: 0.0026 max mem: 31671 Epoch: [28] [3350/5278] eta: 1:22:19 lr: 1.611135109173979e-05 loss: 0.0371 (0.0433) loss_seg: 0.0397 (0.0465) loss_lansim: 0.0818 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5717 data: 0.0026 max mem: 31671 Epoch: [28] [3360/5278] eta: 1:21:54 lr: 1.6108933764598784e-05 loss: 0.0371 (0.0433) loss_seg: 0.0397 (0.0464) loss_lansim: 0.0831 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5686 data: 0.0026 max mem: 31671 Epoch: [28] [3370/5278] eta: 1:21:28 lr: 1.6106516397151868e-05 loss: 0.0381 (0.0433) loss_seg: 0.0405 (0.0464) loss_lansim: 0.0817 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5694 data: 0.0026 max mem: 31671 Epoch: [28] [3380/5278] eta: 1:21:02 lr: 1.6104098989391635e-05 loss: 0.0369 (0.0433) loss_seg: 0.0401 (0.0465) loss_lansim: 0.0816 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5698 data: 0.0026 max mem: 31671 Epoch: [28] [3390/5278] eta: 1:20:37 lr: 1.6101681541310706e-05 loss: 0.0389 (0.0433) loss_seg: 0.0405 (0.0465) loss_lansim: 0.0819 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5643 data: 0.0026 max mem: 31671 Epoch: [28] [3400/5278] eta: 1:20:11 lr: 1.6099264052901668e-05 loss: 0.0389 (0.0434) loss_seg: 0.0405 (0.0465) loss_lansim: 0.0821 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5669 data: 0.0026 max mem: 31671 Epoch: [28] [3410/5278] eta: 1:19:46 lr: 1.609684652415712e-05 loss: 0.0371 (0.0434) loss_seg: 0.0405 (0.0465) loss_lansim: 0.0828 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5710 data: 0.0026 max mem: 31671 Epoch: [28] [3420/5278] eta: 1:19:20 lr: 1.609442895506966e-05 loss: 0.0357 (0.0433) loss_seg: 0.0392 (0.0465) loss_lansim: 0.0819 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5587 data: 0.0025 max mem: 31671 Epoch: [28] [3430/5278] eta: 1:18:54 lr: 1.609201134563189e-05 loss: 0.0357 (0.0433) loss_seg: 0.0392 (0.0464) loss_lansim: 0.0820 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5591 data: 0.0025 max mem: 31671 Epoch: [28] [3440/5278] eta: 1:18:28 lr: 1.6089593695836387e-05 loss: 0.0350 (0.0433) loss_seg: 0.0384 (0.0464) loss_lansim: 0.0818 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [28] [3450/5278] eta: 1:18:03 lr: 1.6087176005675746e-05 loss: 0.0356 (0.0433) loss_seg: 0.0387 (0.0464) loss_lansim: 0.0818 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [28] [3460/5278] eta: 1:17:37 lr: 1.6084758275142553e-05 loss: 0.0351 (0.0433) loss_seg: 0.0384 (0.0464) loss_lansim: 0.0808 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5501 data: 0.0025 max mem: 31671 Epoch: [28] [3470/5278] eta: 1:17:11 lr: 1.6082340504229392e-05 loss: 0.0350 (0.0433) loss_seg: 0.0370 (0.0464) loss_lansim: 0.0814 (0.0823) loss_contra: 0.0001 (0.0019) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [28] [3480/5278] eta: 1:16:46 lr: 1.6079922692928837e-05 loss: 0.0344 (0.0432) loss_seg: 0.0365 (0.0464) loss_lansim: 0.0799 (0.0823) loss_contra: 0.0001 (0.0019) time: 2.5511 data: 0.0025 max mem: 31671 Epoch: [28] [3490/5278] eta: 1:16:20 lr: 1.607750484123347e-05 loss: 0.0334 (0.0432) loss_seg: 0.0359 (0.0463) loss_lansim: 0.0797 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5552 data: 0.0025 max mem: 31671 Epoch: [28] [3500/5278] eta: 1:15:54 lr: 1.6075086949135864e-05 loss: 0.0316 (0.0432) loss_seg: 0.0343 (0.0463) loss_lansim: 0.0799 (0.0823) loss_contra: 0.0000 (0.0019) time: 2.5477 data: 0.0026 max mem: 31671 Epoch: [28] [3510/5278] eta: 1:15:29 lr: 1.60726690166286e-05 loss: 0.0318 (0.0432) loss_seg: 0.0343 (0.0463) loss_lansim: 0.0808 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [28] [3520/5278] eta: 1:15:03 lr: 1.607025104370423e-05 loss: 0.0328 (0.0432) loss_seg: 0.0343 (0.0463) loss_lansim: 0.0830 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5421 data: 0.0026 max mem: 31671 Epoch: [28] [3530/5278] eta: 1:14:37 lr: 1.606783303035534e-05 loss: 0.0334 (0.0433) loss_seg: 0.0360 (0.0464) loss_lansim: 0.0839 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5479 data: 0.0026 max mem: 31671 Epoch: [28] [3540/5278] eta: 1:14:12 lr: 1.6065414976574482e-05 loss: 0.0345 (0.0432) loss_seg: 0.0365 (0.0464) loss_lansim: 0.0844 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5591 data: 0.0026 max mem: 31671 Epoch: [28] [3550/5278] eta: 1:13:46 lr: 1.6062996882354222e-05 loss: 0.0333 (0.0432) loss_seg: 0.0358 (0.0464) loss_lansim: 0.0844 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5529 data: 0.0026 max mem: 31671 Epoch: [28] [3560/5278] eta: 1:13:21 lr: 1.6060578747687126e-05 loss: 0.0334 (0.0432) loss_seg: 0.0360 (0.0463) loss_lansim: 0.0857 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5571 data: 0.0026 max mem: 31671 Epoch: [28] [3570/5278] eta: 1:12:55 lr: 1.605816057256574e-05 loss: 0.0345 (0.0432) loss_seg: 0.0370 (0.0463) loss_lansim: 0.0854 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5595 data: 0.0026 max mem: 31671 Epoch: [28] [3580/5278] eta: 1:12:29 lr: 1.6055742356982623e-05 loss: 0.0345 (0.0432) loss_seg: 0.0375 (0.0463) loss_lansim: 0.0875 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5550 data: 0.0026 max mem: 31671 Epoch: [28] [3590/5278] eta: 1:12:04 lr: 1.6053324100930325e-05 loss: 0.0358 (0.0432) loss_seg: 0.0390 (0.0463) loss_lansim: 0.0875 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5542 data: 0.0026 max mem: 31671 Epoch: [28] [3600/5278] eta: 1:11:38 lr: 1.6050905804401402e-05 loss: 0.0382 (0.0432) loss_seg: 0.0410 (0.0463) loss_lansim: 0.0862 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5514 data: 0.0026 max mem: 31671 Epoch: [28] [3610/5278] eta: 1:11:12 lr: 1.604848746738839e-05 loss: 0.0382 (0.0432) loss_seg: 0.0410 (0.0463) loss_lansim: 0.0850 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5518 data: 0.0026 max mem: 31671 Epoch: [28] [3620/5278] eta: 1:10:46 lr: 1.6046069089883837e-05 loss: 0.0374 (0.0432) loss_seg: 0.0401 (0.0463) loss_lansim: 0.0842 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5567 data: 0.0026 max mem: 31671 Epoch: [28] [3630/5278] eta: 1:10:21 lr: 1.6043650671880283e-05 loss: 0.0366 (0.0432) loss_seg: 0.0400 (0.0463) loss_lansim: 0.0854 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5533 data: 0.0026 max mem: 31671 Epoch: [28] [3640/5278] eta: 1:09:55 lr: 1.6041232213370275e-05 loss: 0.0360 (0.0431) loss_seg: 0.0384 (0.0463) loss_lansim: 0.0850 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5477 data: 0.0026 max mem: 31671 Epoch: [28] [3650/5278] eta: 1:09:29 lr: 1.6038813714346336e-05 loss: 0.0365 (0.0431) loss_seg: 0.0399 (0.0463) loss_lansim: 0.0850 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5514 data: 0.0026 max mem: 31671 Epoch: [28] [3660/5278] eta: 1:09:04 lr: 1.6036395174801004e-05 loss: 0.0360 (0.0431) loss_seg: 0.0386 (0.0462) loss_lansim: 0.0849 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5483 data: 0.0026 max mem: 31671 Epoch: [28] [3670/5278] eta: 1:08:38 lr: 1.603397659472681e-05 loss: 0.0353 (0.0431) loss_seg: 0.0386 (0.0462) loss_lansim: 0.0835 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5512 data: 0.0026 max mem: 31671 Epoch: [28] [3680/5278] eta: 1:08:13 lr: 1.603155797411629e-05 loss: 0.0364 (0.0431) loss_seg: 0.0398 (0.0462) loss_lansim: 0.0825 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5584 data: 0.0026 max mem: 31671 Epoch: [28] [3690/5278] eta: 1:07:47 lr: 1.6029139312961952e-05 loss: 0.0353 (0.0431) loss_seg: 0.0386 (0.0462) loss_lansim: 0.0819 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5561 data: 0.0026 max mem: 31671 Epoch: [28] [3700/5278] eta: 1:07:22 lr: 1.602672061125633e-05 loss: 0.0353 (0.0431) loss_seg: 0.0386 (0.0462) loss_lansim: 0.0824 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5710 data: 0.0026 max mem: 31671 Epoch: [28] [3710/5278] eta: 1:06:56 lr: 1.6024301868991942e-05 loss: 0.0342 (0.0431) loss_seg: 0.0376 (0.0462) loss_lansim: 0.0824 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5674 data: 0.0026 max mem: 31671 Epoch: [28] [3720/5278] eta: 1:06:31 lr: 1.6021883086161313e-05 loss: 0.0353 (0.0431) loss_seg: 0.0386 (0.0462) loss_lansim: 0.0824 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5718 data: 0.0026 max mem: 31671 Epoch: [28] [3730/5278] eta: 1:06:05 lr: 1.601946426275694e-05 loss: 0.0357 (0.0432) loss_seg: 0.0386 (0.0463) loss_lansim: 0.0818 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5691 data: 0.0025 max mem: 31671 Epoch: [28] [3740/5278] eta: 1:05:39 lr: 1.601704539877135e-05 loss: 0.0359 (0.0431) loss_seg: 0.0391 (0.0463) loss_lansim: 0.0818 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5689 data: 0.0025 max mem: 31671 Epoch: [28] [3750/5278] eta: 1:05:14 lr: 1.601462649419705e-05 loss: 0.0370 (0.0432) loss_seg: 0.0398 (0.0463) loss_lansim: 0.0811 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5686 data: 0.0025 max mem: 31671 Epoch: [28] [3760/5278] eta: 1:04:48 lr: 1.6012207549026548e-05 loss: 0.0382 (0.0432) loss_seg: 0.0410 (0.0463) loss_lansim: 0.0811 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5709 data: 0.0026 max mem: 31671 Epoch: [28] [3770/5278] eta: 1:04:23 lr: 1.6009788563252337e-05 loss: 0.0374 (0.0431) loss_seg: 0.0404 (0.0463) loss_lansim: 0.0824 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5764 data: 0.0025 max mem: 31671 Epoch: [28] [3780/5278] eta: 1:03:57 lr: 1.6007369536866928e-05 loss: 0.0382 (0.0431) loss_seg: 0.0420 (0.0463) loss_lansim: 0.0824 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5737 data: 0.0025 max mem: 31671 Epoch: [28] [3790/5278] eta: 1:03:31 lr: 1.600495046986282e-05 loss: 0.0382 (0.0431) loss_seg: 0.0420 (0.0462) loss_lansim: 0.0818 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5717 data: 0.0025 max mem: 31671 Epoch: [28] [3800/5278] eta: 1:03:06 lr: 1.6002531362232508e-05 loss: 0.0382 (0.0431) loss_seg: 0.0420 (0.0462) loss_lansim: 0.0818 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5622 data: 0.0025 max mem: 31671 Epoch: [28] [3810/5278] eta: 1:02:40 lr: 1.600011221396849e-05 loss: 0.0382 (0.0431) loss_seg: 0.0420 (0.0462) loss_lansim: 0.0826 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5651 data: 0.0025 max mem: 31671 Epoch: [28] [3820/5278] eta: 1:02:15 lr: 1.5997693025063246e-05 loss: 0.0381 (0.0431) loss_seg: 0.0410 (0.0462) loss_lansim: 0.0837 (0.0825) loss_contra: 0.0000 (0.0018) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [28] [3830/5278] eta: 1:01:49 lr: 1.5995273795509273e-05 loss: 0.0373 (0.0431) loss_seg: 0.0401 (0.0462) loss_lansim: 0.0818 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5683 data: 0.0025 max mem: 31671 Epoch: [28] [3840/5278] eta: 1:01:23 lr: 1.599285452529905e-05 loss: 0.0381 (0.0431) loss_seg: 0.0410 (0.0462) loss_lansim: 0.0840 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5693 data: 0.0025 max mem: 31671 Epoch: [28] [3850/5278] eta: 1:00:58 lr: 1.5990435214425077e-05 loss: 0.0363 (0.0431) loss_seg: 0.0390 (0.0462) loss_lansim: 0.0840 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5713 data: 0.0025 max mem: 31671 Epoch: [28] [3860/5278] eta: 1:00:32 lr: 1.598801586287981e-05 loss: 0.0363 (0.0431) loss_seg: 0.0386 (0.0462) loss_lansim: 0.0837 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5680 data: 0.0025 max mem: 31671 Epoch: [28] [3870/5278] eta: 1:00:06 lr: 1.5985596470655738e-05 loss: 0.0373 (0.0431) loss_seg: 0.0401 (0.0462) loss_lansim: 0.0826 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5548 data: 0.0026 max mem: 31671 Epoch: [28] [3880/5278] eta: 0:59:41 lr: 1.5983177037745343e-05 loss: 0.0360 (0.0431) loss_seg: 0.0380 (0.0462) loss_lansim: 0.0833 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5555 data: 0.0026 max mem: 31671 Epoch: [28] [3890/5278] eta: 0:59:15 lr: 1.598075756414109e-05 loss: 0.0378 (0.0431) loss_seg: 0.0407 (0.0462) loss_lansim: 0.0843 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [28] [3900/5278] eta: 0:58:50 lr: 1.5978338049835447e-05 loss: 0.0394 (0.0431) loss_seg: 0.0414 (0.0462) loss_lansim: 0.0843 (0.0826) loss_contra: 0.0000 (0.0019) time: 2.5611 data: 0.0025 max mem: 31671 Epoch: [28] [3910/5278] eta: 0:58:24 lr: 1.5975918494820886e-05 loss: 0.0378 (0.0431) loss_seg: 0.0407 (0.0462) loss_lansim: 0.0833 (0.0826) loss_contra: 0.0000 (0.0019) time: 2.5645 data: 0.0025 max mem: 31671 Epoch: [28] [3920/5278] eta: 0:57:58 lr: 1.5973498899089868e-05 loss: 0.0378 (0.0431) loss_seg: 0.0411 (0.0462) loss_lansim: 0.0825 (0.0826) loss_contra: 0.0000 (0.0019) time: 2.5552 data: 0.0026 max mem: 31671 Epoch: [28] [3930/5278] eta: 0:57:33 lr: 1.5971079262634857e-05 loss: 0.0378 (0.0431) loss_seg: 0.0407 (0.0462) loss_lansim: 0.0835 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5607 data: 0.0025 max mem: 31671 Epoch: [28] [3940/5278] eta: 0:57:07 lr: 1.5968659585448312e-05 loss: 0.0373 (0.0431) loss_seg: 0.0404 (0.0462) loss_lansim: 0.0824 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5578 data: 0.0025 max mem: 31671 Epoch: [28] [3950/5278] eta: 0:56:42 lr: 1.5966239867522684e-05 loss: 0.0373 (0.0431) loss_seg: 0.0404 (0.0462) loss_lansim: 0.0818 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5580 data: 0.0025 max mem: 31671 Epoch: [28] [3960/5278] eta: 0:56:16 lr: 1.5963820108850435e-05 loss: 0.0373 (0.0431) loss_seg: 0.0403 (0.0462) loss_lansim: 0.0817 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5629 data: 0.0025 max mem: 31671 Epoch: [28] [3970/5278] eta: 0:55:50 lr: 1.596140030942401e-05 loss: 0.0373 (0.0431) loss_seg: 0.0404 (0.0462) loss_lansim: 0.0811 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5647 data: 0.0025 max mem: 31671 Epoch: [28] [3980/5278] eta: 0:55:25 lr: 1.5958980469235862e-05 loss: 0.0378 (0.0431) loss_seg: 0.0411 (0.0462) loss_lansim: 0.0793 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5656 data: 0.0026 max mem: 31671 Epoch: [28] [3990/5278] eta: 0:54:59 lr: 1.5956560588278432e-05 loss: 0.0367 (0.0432) loss_seg: 0.0396 (0.0463) loss_lansim: 0.0797 (0.0826) loss_contra: 0.0002 (0.0020) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [28] [4000/5278] eta: 0:54:33 lr: 1.5954140666544168e-05 loss: 0.0352 (0.0431) loss_seg: 0.0382 (0.0462) loss_lansim: 0.0800 (0.0826) loss_contra: 0.0002 (0.0020) time: 2.5633 data: 0.0026 max mem: 31671 Epoch: [28] [4010/5278] eta: 0:54:08 lr: 1.595172070402551e-05 loss: 0.0360 (0.0431) loss_seg: 0.0388 (0.0462) loss_lansim: 0.0793 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5651 data: 0.0026 max mem: 31671 Epoch: [28] [4020/5278] eta: 0:53:43 lr: 1.594930070071489e-05 loss: 0.0355 (0.0431) loss_seg: 0.0388 (0.0462) loss_lansim: 0.0811 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5771 data: 0.0026 max mem: 31671 Epoch: [28] [4030/5278] eta: 0:53:17 lr: 1.5946880656604745e-05 loss: 0.0355 (0.0431) loss_seg: 0.0388 (0.0462) loss_lansim: 0.0811 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5705 data: 0.0026 max mem: 31671 Epoch: [28] [4040/5278] eta: 0:52:51 lr: 1.594446057168751e-05 loss: 0.0373 (0.0431) loss_seg: 0.0396 (0.0462) loss_lansim: 0.0800 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5713 data: 0.0026 max mem: 31671 Epoch: [28] [4050/5278] eta: 0:52:26 lr: 1.5942040445955617e-05 loss: 0.0378 (0.0431) loss_seg: 0.0415 (0.0462) loss_lansim: 0.0812 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5684 data: 0.0026 max mem: 31671 Epoch: [28] [4060/5278] eta: 0:52:00 lr: 1.5939620279401492e-05 loss: 0.0373 (0.0431) loss_seg: 0.0396 (0.0462) loss_lansim: 0.0813 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5632 data: 0.0026 max mem: 31671 Epoch: [28] [4070/5278] eta: 0:51:34 lr: 1.5937200072017554e-05 loss: 0.0373 (0.0431) loss_seg: 0.0392 (0.0462) loss_lansim: 0.0813 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5635 data: 0.0026 max mem: 31671 Epoch: [28] [4080/5278] eta: 0:51:09 lr: 1.5934779823796222e-05 loss: 0.0373 (0.0431) loss_seg: 0.0392 (0.0462) loss_lansim: 0.0820 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5704 data: 0.0026 max mem: 31671 Epoch: [28] [4090/5278] eta: 0:50:43 lr: 1.5932359534729926e-05 loss: 0.0379 (0.0431) loss_seg: 0.0395 (0.0462) loss_lansim: 0.0820 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5696 data: 0.0026 max mem: 31671 Epoch: [28] [4100/5278] eta: 0:50:18 lr: 1.592993920481108e-05 loss: 0.0390 (0.0431) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0811 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5757 data: 0.0025 max mem: 31671 Epoch: [28] [4110/5278] eta: 0:49:52 lr: 1.592751883403209e-05 loss: 0.0381 (0.0431) loss_seg: 0.0399 (0.0462) loss_lansim: 0.0812 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5677 data: 0.0025 max mem: 31671 Epoch: [28] [4120/5278] eta: 0:49:27 lr: 1.5925098422385372e-05 loss: 0.0390 (0.0431) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0792 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5692 data: 0.0025 max mem: 31671 Epoch: [28] [4130/5278] eta: 0:49:01 lr: 1.5922677969863332e-05 loss: 0.0373 (0.0431) loss_seg: 0.0399 (0.0462) loss_lansim: 0.0790 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5694 data: 0.0025 max mem: 31671 Epoch: [28] [4140/5278] eta: 0:48:35 lr: 1.5920257476458387e-05 loss: 0.0381 (0.0432) loss_seg: 0.0407 (0.0463) loss_lansim: 0.0783 (0.0826) loss_contra: 0.0000 (0.0019) time: 2.5735 data: 0.0025 max mem: 31671 Epoch: [28] [4150/5278] eta: 0:48:10 lr: 1.591783694216292e-05 loss: 0.0370 (0.0432) loss_seg: 0.0399 (0.0463) loss_lansim: 0.0776 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5753 data: 0.0026 max mem: 31671 Epoch: [28] [4160/5278] eta: 0:47:44 lr: 1.5915416366969344e-05 loss: 0.0370 (0.0432) loss_seg: 0.0399 (0.0463) loss_lansim: 0.0776 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5847 data: 0.0026 max mem: 31671 Epoch: [28] [4170/5278] eta: 0:47:19 lr: 1.591299575087005e-05 loss: 0.0379 (0.0432) loss_seg: 0.0406 (0.0463) loss_lansim: 0.0776 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5867 data: 0.0026 max mem: 31671 Epoch: [28] [4180/5278] eta: 0:46:53 lr: 1.5910575093857445e-05 loss: 0.0379 (0.0432) loss_seg: 0.0407 (0.0463) loss_lansim: 0.0778 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5812 data: 0.0026 max mem: 31671 Epoch: [28] [4190/5278] eta: 0:46:27 lr: 1.5908154395923903e-05 loss: 0.0379 (0.0432) loss_seg: 0.0410 (0.0463) loss_lansim: 0.0776 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5729 data: 0.0026 max mem: 31671 Epoch: [28] [4200/5278] eta: 0:46:02 lr: 1.5905733657061824e-05 loss: 0.0394 (0.0432) loss_seg: 0.0415 (0.0463) loss_lansim: 0.0778 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5694 data: 0.0026 max mem: 31671 Epoch: [28] [4210/5278] eta: 0:45:36 lr: 1.5903312877263594e-05 loss: 0.0399 (0.0432) loss_seg: 0.0415 (0.0463) loss_lansim: 0.0781 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5873 data: 0.0026 max mem: 31671 Epoch: [28] [4220/5278] eta: 0:45:11 lr: 1.59008920565216e-05 loss: 0.0394 (0.0432) loss_seg: 0.0410 (0.0463) loss_lansim: 0.0795 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5773 data: 0.0026 max mem: 31671 Epoch: [28] [4230/5278] eta: 0:44:45 lr: 1.5898471194828214e-05 loss: 0.0394 (0.0432) loss_seg: 0.0412 (0.0463) loss_lansim: 0.0795 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5782 data: 0.0026 max mem: 31671 Epoch: [28] [4240/5278] eta: 0:44:19 lr: 1.5896050292175824e-05 loss: 0.0386 (0.0432) loss_seg: 0.0410 (0.0463) loss_lansim: 0.0806 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5776 data: 0.0025 max mem: 31671 Epoch: [28] [4250/5278] eta: 0:43:54 lr: 1.5893629348556794e-05 loss: 0.0394 (0.0432) loss_seg: 0.0415 (0.0463) loss_lansim: 0.0813 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5704 data: 0.0025 max mem: 31671 Epoch: [28] [4260/5278] eta: 0:43:28 lr: 1.5891208363963518e-05 loss: 0.0386 (0.0432) loss_seg: 0.0415 (0.0463) loss_lansim: 0.0819 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5602 data: 0.0025 max mem: 31671 Epoch: [28] [4270/5278] eta: 0:43:02 lr: 1.588878733838834e-05 loss: 0.0386 (0.0432) loss_seg: 0.0415 (0.0464) loss_lansim: 0.0819 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5640 data: 0.0025 max mem: 31671 Epoch: [28] [4280/5278] eta: 0:42:37 lr: 1.5886366271823648e-05 loss: 0.0388 (0.0433) loss_seg: 0.0423 (0.0464) loss_lansim: 0.0820 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [28] [4290/5278] eta: 0:42:11 lr: 1.5883945164261795e-05 loss: 0.0386 (0.0432) loss_seg: 0.0412 (0.0464) loss_lansim: 0.0819 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [28] [4300/5278] eta: 0:41:46 lr: 1.5881524015695147e-05 loss: 0.0376 (0.0432) loss_seg: 0.0403 (0.0464) loss_lansim: 0.0816 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5720 data: 0.0025 max mem: 31671 Epoch: [28] [4310/5278] eta: 0:41:20 lr: 1.5879102826116072e-05 loss: 0.0381 (0.0432) loss_seg: 0.0420 (0.0464) loss_lansim: 0.0820 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5513 data: 0.0025 max mem: 31671 Epoch: [28] [4320/5278] eta: 0:40:54 lr: 1.5876681595516913e-05 loss: 0.0386 (0.0432) loss_seg: 0.0423 (0.0464) loss_lansim: 0.0820 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5542 data: 0.0024 max mem: 31671 Epoch: [28] [4330/5278] eta: 0:40:29 lr: 1.587426032389003e-05 loss: 0.0391 (0.0433) loss_seg: 0.0427 (0.0464) loss_lansim: 0.0820 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5538 data: 0.0024 max mem: 31671 Epoch: [28] [4340/5278] eta: 0:40:03 lr: 1.5871839011227773e-05 loss: 0.0391 (0.0433) loss_seg: 0.0426 (0.0464) loss_lansim: 0.0816 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5438 data: 0.0025 max mem: 31671 Epoch: [28] [4350/5278] eta: 0:39:37 lr: 1.58694176575225e-05 loss: 0.0388 (0.0433) loss_seg: 0.0420 (0.0464) loss_lansim: 0.0818 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [28] [4360/5278] eta: 0:39:12 lr: 1.5866996262766542e-05 loss: 0.0391 (0.0433) loss_seg: 0.0427 (0.0465) loss_lansim: 0.0813 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [28] [4370/5278] eta: 0:38:46 lr: 1.586457482695225e-05 loss: 0.0388 (0.0433) loss_seg: 0.0419 (0.0465) loss_lansim: 0.0814 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5574 data: 0.0024 max mem: 31671 Epoch: [28] [4380/5278] eta: 0:38:20 lr: 1.586215335007196e-05 loss: 0.0389 (0.0433) loss_seg: 0.0401 (0.0465) loss_lansim: 0.0805 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5551 data: 0.0024 max mem: 31671 Epoch: [28] [4390/5278] eta: 0:37:55 lr: 1.5859731832118023e-05 loss: 0.0398 (0.0433) loss_seg: 0.0429 (0.0465) loss_lansim: 0.0809 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5523 data: 0.0024 max mem: 31671 Epoch: [28] [4400/5278] eta: 0:37:29 lr: 1.585731027308276e-05 loss: 0.0401 (0.0433) loss_seg: 0.0429 (0.0465) loss_lansim: 0.0805 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5577 data: 0.0025 max mem: 31671 Epoch: [28] [4410/5278] eta: 0:37:04 lr: 1.5854888672958505e-05 loss: 0.0394 (0.0434) loss_seg: 0.0419 (0.0465) loss_lansim: 0.0803 (0.0825) loss_contra: 0.0001 (0.0019) time: 2.5619 data: 0.0025 max mem: 31671 Epoch: [28] [4420/5278] eta: 0:36:38 lr: 1.585246703173759e-05 loss: 0.0410 (0.0434) loss_seg: 0.0430 (0.0465) loss_lansim: 0.0795 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5704 data: 0.0025 max mem: 31671 Epoch: [28] [4430/5278] eta: 0:36:13 lr: 1.5850045349412348e-05 loss: 0.0398 (0.0434) loss_seg: 0.0427 (0.0465) loss_lansim: 0.0786 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5766 data: 0.0025 max mem: 31671 Epoch: [28] [4440/5278] eta: 0:35:47 lr: 1.5847623625975092e-05 loss: 0.0392 (0.0434) loss_seg: 0.0427 (0.0466) loss_lansim: 0.0786 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5826 data: 0.0025 max mem: 31671 Epoch: [28] [4450/5278] eta: 0:35:21 lr: 1.5845201861418147e-05 loss: 0.0416 (0.0435) loss_seg: 0.0430 (0.0466) loss_lansim: 0.0788 (0.0825) loss_contra: 0.0000 (0.0019) time: 2.5837 data: 0.0025 max mem: 31671 Epoch: [28] [4460/5278] eta: 0:34:56 lr: 1.584278005573383e-05 loss: 0.0392 (0.0435) loss_seg: 0.0426 (0.0466) loss_lansim: 0.0789 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5797 data: 0.0026 max mem: 31671 Epoch: [28] [4470/5278] eta: 0:34:30 lr: 1.5840358208914473e-05 loss: 0.0387 (0.0434) loss_seg: 0.0419 (0.0466) loss_lansim: 0.0786 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5701 data: 0.0026 max mem: 31671 Epoch: [28] [4480/5278] eta: 0:34:04 lr: 1.5837936320952366e-05 loss: 0.0377 (0.0435) loss_seg: 0.0415 (0.0466) loss_lansim: 0.0780 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5601 data: 0.0026 max mem: 31671 Epoch: [28] [4490/5278] eta: 0:33:39 lr: 1.583551439183983e-05 loss: 0.0377 (0.0435) loss_seg: 0.0415 (0.0466) loss_lansim: 0.0780 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5692 data: 0.0026 max mem: 31671 Epoch: [28] [4500/5278] eta: 0:33:13 lr: 1.583309242156917e-05 loss: 0.0382 (0.0434) loss_seg: 0.0415 (0.0466) loss_lansim: 0.0786 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5562 data: 0.0026 max mem: 31671 Epoch: [28] [4510/5278] eta: 0:32:47 lr: 1.5830670410132698e-05 loss: 0.0375 (0.0434) loss_seg: 0.0404 (0.0465) loss_lansim: 0.0761 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5512 data: 0.0026 max mem: 31671 Epoch: [28] [4520/5278] eta: 0:32:22 lr: 1.5828248357522704e-05 loss: 0.0368 (0.0434) loss_seg: 0.0403 (0.0466) loss_lansim: 0.0773 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5404 data: 0.0026 max mem: 31671 Epoch: [28] [4530/5278] eta: 0:31:56 lr: 1.5825826263731495e-05 loss: 0.0368 (0.0435) loss_seg: 0.0403 (0.0466) loss_lansim: 0.0773 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5287 data: 0.0026 max mem: 31671 Epoch: [28] [4540/5278] eta: 0:31:30 lr: 1.5823404128751372e-05 loss: 0.0363 (0.0434) loss_seg: 0.0390 (0.0466) loss_lansim: 0.0780 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5252 data: 0.0026 max mem: 31671 Epoch: [28] [4550/5278] eta: 0:31:04 lr: 1.582098195257462e-05 loss: 0.0360 (0.0435) loss_seg: 0.0382 (0.0466) loss_lansim: 0.0766 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [28] [4560/5278] eta: 0:30:39 lr: 1.5818559735193535e-05 loss: 0.0368 (0.0435) loss_seg: 0.0404 (0.0466) loss_lansim: 0.0766 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [28] [4570/5278] eta: 0:30:13 lr: 1.5816137476600405e-05 loss: 0.0373 (0.0435) loss_seg: 0.0405 (0.0466) loss_lansim: 0.0766 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [28] [4580/5278] eta: 0:29:48 lr: 1.581371517678751e-05 loss: 0.0375 (0.0435) loss_seg: 0.0409 (0.0466) loss_lansim: 0.0798 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [28] [4590/5278] eta: 0:29:22 lr: 1.581129283574714e-05 loss: 0.0378 (0.0435) loss_seg: 0.0410 (0.0466) loss_lansim: 0.0795 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5223 data: 0.0026 max mem: 31671 Epoch: [28] [4600/5278] eta: 0:28:56 lr: 1.580887045347158e-05 loss: 0.0378 (0.0435) loss_seg: 0.0415 (0.0466) loss_lansim: 0.0806 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5233 data: 0.0026 max mem: 31671 Epoch: [28] [4610/5278] eta: 0:28:31 lr: 1.580644802995309e-05 loss: 0.0401 (0.0435) loss_seg: 0.0437 (0.0467) loss_lansim: 0.0809 (0.0824) loss_contra: 0.0000 (0.0019) time: 2.5328 data: 0.0026 max mem: 31671 Epoch: [28] [4620/5278] eta: 0:28:05 lr: 1.5804025565183955e-05 loss: 0.0389 (0.0435) loss_seg: 0.0418 (0.0466) loss_lansim: 0.0810 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5364 data: 0.0026 max mem: 31671 Epoch: [28] [4630/5278] eta: 0:27:39 lr: 1.580160305915645e-05 loss: 0.0392 (0.0435) loss_seg: 0.0428 (0.0466) loss_lansim: 0.0809 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5444 data: 0.0026 max mem: 31671 Epoch: [28] [4640/5278] eta: 0:27:14 lr: 1.5799180511862845e-05 loss: 0.0392 (0.0435) loss_seg: 0.0429 (0.0466) loss_lansim: 0.0810 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5587 data: 0.0026 max mem: 31671 Epoch: [28] [4650/5278] eta: 0:26:48 lr: 1.5796757923295393e-05 loss: 0.0401 (0.0435) loss_seg: 0.0429 (0.0466) loss_lansim: 0.0810 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5667 data: 0.0027 max mem: 31671 Epoch: [28] [4660/5278] eta: 0:26:23 lr: 1.579433529344637e-05 loss: 0.0401 (0.0435) loss_seg: 0.0431 (0.0466) loss_lansim: 0.0812 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5639 data: 0.0027 max mem: 31671 Epoch: [28] [4670/5278] eta: 0:25:57 lr: 1.579191262230803e-05 loss: 0.0392 (0.0435) loss_seg: 0.0430 (0.0466) loss_lansim: 0.0811 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5799 data: 0.0027 max mem: 31671 Epoch: [28] [4680/5278] eta: 0:25:32 lr: 1.578948990987264e-05 loss: 0.0391 (0.0435) loss_seg: 0.0427 (0.0466) loss_lansim: 0.0806 (0.0823) loss_contra: 0.0001 (0.0021) time: 2.5896 data: 0.0026 max mem: 31671 Epoch: [28] [4690/5278] eta: 0:25:06 lr: 1.5787067156132444e-05 loss: 0.0389 (0.0435) loss_seg: 0.0418 (0.0467) loss_lansim: 0.0805 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5894 data: 0.0026 max mem: 31671 Epoch: [28] [4700/5278] eta: 0:24:40 lr: 1.5784644361079698e-05 loss: 0.0362 (0.0435) loss_seg: 0.0398 (0.0467) loss_lansim: 0.0797 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5921 data: 0.0026 max mem: 31671 Epoch: [28] [4710/5278] eta: 0:24:15 lr: 1.5782221524706655e-05 loss: 0.0362 (0.0435) loss_seg: 0.0395 (0.0467) loss_lansim: 0.0799 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5895 data: 0.0026 max mem: 31671 Epoch: [28] [4720/5278] eta: 0:23:49 lr: 1.5779798647005563e-05 loss: 0.0362 (0.0435) loss_seg: 0.0395 (0.0467) loss_lansim: 0.0805 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5898 data: 0.0026 max mem: 31671 Epoch: [28] [4730/5278] eta: 0:23:24 lr: 1.577737572796866e-05 loss: 0.0362 (0.0435) loss_seg: 0.0395 (0.0466) loss_lansim: 0.0809 (0.0823) loss_contra: 0.0001 (0.0020) time: 2.5958 data: 0.0026 max mem: 31671 Epoch: [28] [4740/5278] eta: 0:22:58 lr: 1.577495276758819e-05 loss: 0.0373 (0.0435) loss_seg: 0.0398 (0.0466) loss_lansim: 0.0808 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5778 data: 0.0026 max mem: 31671 Epoch: [28] [4750/5278] eta: 0:22:32 lr: 1.577252976585639e-05 loss: 0.0362 (0.0435) loss_seg: 0.0387 (0.0466) loss_lansim: 0.0804 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5734 data: 0.0025 max mem: 31671 Epoch: [28] [4760/5278] eta: 0:22:07 lr: 1.5770106722765502e-05 loss: 0.0351 (0.0435) loss_seg: 0.0385 (0.0466) loss_lansim: 0.0800 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5649 data: 0.0025 max mem: 31671 Epoch: [28] [4770/5278] eta: 0:21:41 lr: 1.5767683638307758e-05 loss: 0.0373 (0.0435) loss_seg: 0.0398 (0.0466) loss_lansim: 0.0804 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5459 data: 0.0025 max mem: 31671 Epoch: [28] [4780/5278] eta: 0:21:15 lr: 1.576526051247538e-05 loss: 0.0373 (0.0435) loss_seg: 0.0398 (0.0466) loss_lansim: 0.0803 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [28] [4790/5278] eta: 0:20:50 lr: 1.5762837345260596e-05 loss: 0.0359 (0.0435) loss_seg: 0.0386 (0.0466) loss_lansim: 0.0800 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5447 data: 0.0026 max mem: 31671 Epoch: [28] [4800/5278] eta: 0:20:24 lr: 1.576041413665564e-05 loss: 0.0348 (0.0435) loss_seg: 0.0371 (0.0466) loss_lansim: 0.0800 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [28] [4810/5278] eta: 0:19:58 lr: 1.5757990886652734e-05 loss: 0.0343 (0.0435) loss_seg: 0.0368 (0.0466) loss_lansim: 0.0795 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5456 data: 0.0025 max mem: 31671 Epoch: [28] [4820/5278] eta: 0:19:33 lr: 1.5755567595244084e-05 loss: 0.0347 (0.0435) loss_seg: 0.0368 (0.0466) loss_lansim: 0.0793 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [28] [4830/5278] eta: 0:19:07 lr: 1.5753144262421914e-05 loss: 0.0351 (0.0434) loss_seg: 0.0371 (0.0466) loss_lansim: 0.0792 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [28] [4840/5278] eta: 0:18:41 lr: 1.5750720888178436e-05 loss: 0.0352 (0.0434) loss_seg: 0.0373 (0.0466) loss_lansim: 0.0782 (0.0823) loss_contra: 0.0000 (0.0020) time: 2.5332 data: 0.0026 max mem: 31671 Epoch: [28] [4850/5278] eta: 0:18:16 lr: 1.574829747250587e-05 loss: 0.0368 (0.0434) loss_seg: 0.0386 (0.0466) loss_lansim: 0.0792 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5369 data: 0.0026 max mem: 31671 Epoch: [28] [4860/5278] eta: 0:17:50 lr: 1.574587401539641e-05 loss: 0.0383 (0.0434) loss_seg: 0.0421 (0.0466) loss_lansim: 0.0792 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [28] [4870/5278] eta: 0:17:25 lr: 1.5743450516842265e-05 loss: 0.0380 (0.0435) loss_seg: 0.0414 (0.0466) loss_lansim: 0.0792 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5572 data: 0.0025 max mem: 31671 Epoch: [28] [4880/5278] eta: 0:16:59 lr: 1.5741026976835642e-05 loss: 0.0374 (0.0435) loss_seg: 0.0407 (0.0466) loss_lansim: 0.0788 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [28] [4890/5278] eta: 0:16:33 lr: 1.573860339536874e-05 loss: 0.0374 (0.0435) loss_seg: 0.0407 (0.0466) loss_lansim: 0.0777 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [28] [4900/5278] eta: 0:16:08 lr: 1.5736179772433752e-05 loss: 0.0381 (0.0435) loss_seg: 0.0414 (0.0466) loss_lansim: 0.0780 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [28] [4910/5278] eta: 0:15:42 lr: 1.573375610802287e-05 loss: 0.0387 (0.0435) loss_seg: 0.0421 (0.0466) loss_lansim: 0.0789 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5531 data: 0.0024 max mem: 31671 Epoch: [28] [4920/5278] eta: 0:15:17 lr: 1.573133240212829e-05 loss: 0.0380 (0.0434) loss_seg: 0.0410 (0.0466) loss_lansim: 0.0792 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [28] [4930/5278] eta: 0:14:51 lr: 1.57289086547422e-05 loss: 0.0374 (0.0434) loss_seg: 0.0407 (0.0466) loss_lansim: 0.0795 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5628 data: 0.0025 max mem: 31671 Epoch: [28] [4940/5278] eta: 0:14:25 lr: 1.572648486585678e-05 loss: 0.0374 (0.0434) loss_seg: 0.0405 (0.0465) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5629 data: 0.0025 max mem: 31671 Epoch: [28] [4950/5278] eta: 0:14:00 lr: 1.5724061035464217e-05 loss: 0.0381 (0.0434) loss_seg: 0.0407 (0.0465) loss_lansim: 0.0809 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [28] [4960/5278] eta: 0:13:34 lr: 1.5721637163556692e-05 loss: 0.0373 (0.0434) loss_seg: 0.0390 (0.0465) loss_lansim: 0.0812 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [28] [4970/5278] eta: 0:13:08 lr: 1.5719213250126382e-05 loss: 0.0368 (0.0434) loss_seg: 0.0389 (0.0466) loss_lansim: 0.0813 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [28] [4980/5278] eta: 0:12:43 lr: 1.5716789295165458e-05 loss: 0.0373 (0.0434) loss_seg: 0.0389 (0.0466) loss_lansim: 0.0814 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [28] [4990/5278] eta: 0:12:17 lr: 1.5714365298666088e-05 loss: 0.0378 (0.0435) loss_seg: 0.0404 (0.0466) loss_lansim: 0.0823 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5551 data: 0.0025 max mem: 31671 Epoch: [28] [5000/5278] eta: 0:11:52 lr: 1.571194126062045e-05 loss: 0.0396 (0.0435) loss_seg: 0.0407 (0.0466) loss_lansim: 0.0828 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5693 data: 0.0025 max mem: 31671 Epoch: [28] [5010/5278] eta: 0:11:26 lr: 1.57095171810207e-05 loss: 0.0392 (0.0435) loss_seg: 0.0407 (0.0466) loss_lansim: 0.0822 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5652 data: 0.0025 max mem: 31671 Epoch: [28] [5020/5278] eta: 0:11:00 lr: 1.5707093059859017e-05 loss: 0.0380 (0.0435) loss_seg: 0.0407 (0.0466) loss_lansim: 0.0812 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5709 data: 0.0025 max mem: 31671 Epoch: [28] [5030/5278] eta: 0:10:35 lr: 1.5704668897127538e-05 loss: 0.0378 (0.0435) loss_seg: 0.0404 (0.0466) loss_lansim: 0.0813 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [28] [5040/5278] eta: 0:10:09 lr: 1.5702244692818436e-05 loss: 0.0378 (0.0435) loss_seg: 0.0410 (0.0466) loss_lansim: 0.0813 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5702 data: 0.0025 max mem: 31671 Epoch: [28] [5050/5278] eta: 0:09:44 lr: 1.5699820446923863e-05 loss: 0.0375 (0.0434) loss_seg: 0.0404 (0.0466) loss_lansim: 0.0774 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5851 data: 0.0025 max mem: 31671 Epoch: [28] [5060/5278] eta: 0:09:18 lr: 1.5697396159435974e-05 loss: 0.0372 (0.0434) loss_seg: 0.0384 (0.0465) loss_lansim: 0.0796 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5740 data: 0.0025 max mem: 31671 Epoch: [28] [5070/5278] eta: 0:08:52 lr: 1.5694971830346905e-05 loss: 0.0372 (0.0434) loss_seg: 0.0383 (0.0465) loss_lansim: 0.0788 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5801 data: 0.0025 max mem: 31671 Epoch: [28] [5080/5278] eta: 0:08:27 lr: 1.569254745964881e-05 loss: 0.0372 (0.0434) loss_seg: 0.0384 (0.0465) loss_lansim: 0.0800 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5783 data: 0.0025 max mem: 31671 Epoch: [28] [5090/5278] eta: 0:08:01 lr: 1.5690123047333835e-05 loss: 0.0372 (0.0434) loss_seg: 0.0383 (0.0465) loss_lansim: 0.0809 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5718 data: 0.0024 max mem: 31671 Epoch: [28] [5100/5278] eta: 0:07:35 lr: 1.5687698593394122e-05 loss: 0.0368 (0.0434) loss_seg: 0.0377 (0.0465) loss_lansim: 0.0800 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5556 data: 0.0024 max mem: 31671 Epoch: [28] [5110/5278] eta: 0:07:10 lr: 1.5685274097821795e-05 loss: 0.0337 (0.0434) loss_seg: 0.0363 (0.0465) loss_lansim: 0.0800 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5536 data: 0.0024 max mem: 31671 Epoch: [28] [5120/5278] eta: 0:06:44 lr: 1.5682849560609e-05 loss: 0.0343 (0.0434) loss_seg: 0.0365 (0.0465) loss_lansim: 0.0806 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5559 data: 0.0024 max mem: 31671 Epoch: [28] [5130/5278] eta: 0:06:19 lr: 1.5680424981747865e-05 loss: 0.0374 (0.0434) loss_seg: 0.0405 (0.0465) loss_lansim: 0.0804 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5655 data: 0.0024 max mem: 31671 Epoch: [28] [5140/5278] eta: 0:05:53 lr: 1.5678000361230527e-05 loss: 0.0368 (0.0434) loss_seg: 0.0377 (0.0465) loss_lansim: 0.0798 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5730 data: 0.0024 max mem: 31671 Epoch: [28] [5150/5278] eta: 0:05:27 lr: 1.5675575699049096e-05 loss: 0.0369 (0.0434) loss_seg: 0.0380 (0.0465) loss_lansim: 0.0803 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5621 data: 0.0024 max mem: 31671 Epoch: [28] [5160/5278] eta: 0:05:02 lr: 1.567315099519571e-05 loss: 0.0375 (0.0434) loss_seg: 0.0405 (0.0465) loss_lansim: 0.0800 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5636 data: 0.0024 max mem: 31671 Epoch: [28] [5170/5278] eta: 0:04:36 lr: 1.567072624966248e-05 loss: 0.0387 (0.0434) loss_seg: 0.0411 (0.0465) loss_lansim: 0.0800 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5702 data: 0.0024 max mem: 31671 Epoch: [28] [5180/5278] eta: 0:04:11 lr: 1.5668301462441534e-05 loss: 0.0373 (0.0434) loss_seg: 0.0405 (0.0465) loss_lansim: 0.0793 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5656 data: 0.0024 max mem: 31671 Epoch: [28] [5190/5278] eta: 0:03:45 lr: 1.5665876633524974e-05 loss: 0.0359 (0.0434) loss_seg: 0.0383 (0.0465) loss_lansim: 0.0792 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5659 data: 0.0025 max mem: 31671 Epoch: [28] [5200/5278] eta: 0:03:19 lr: 1.566345176290492e-05 loss: 0.0359 (0.0434) loss_seg: 0.0392 (0.0465) loss_lansim: 0.0796 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5708 data: 0.0025 max mem: 31671 Epoch: [28] [5210/5278] eta: 0:02:54 lr: 1.5661026850573476e-05 loss: 0.0359 (0.0434) loss_seg: 0.0392 (0.0465) loss_lansim: 0.0796 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5747 data: 0.0025 max mem: 31671 Epoch: [28] [5220/5278] eta: 0:02:28 lr: 1.5658601896522757e-05 loss: 0.0359 (0.0434) loss_seg: 0.0393 (0.0465) loss_lansim: 0.0796 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5671 data: 0.0025 max mem: 31671 Epoch: [28] [5230/5278] eta: 0:02:02 lr: 1.5656176900744857e-05 loss: 0.0358 (0.0433) loss_seg: 0.0392 (0.0465) loss_lansim: 0.0799 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [28] [5240/5278] eta: 0:01:37 lr: 1.5653751863231878e-05 loss: 0.0359 (0.0433) loss_seg: 0.0392 (0.0465) loss_lansim: 0.0813 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [28] [5250/5278] eta: 0:01:11 lr: 1.565132678397592e-05 loss: 0.0349 (0.0433) loss_seg: 0.0379 (0.0464) loss_lansim: 0.0829 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5399 data: 0.0025 max mem: 31671 Epoch: [28] [5260/5278] eta: 0:00:46 lr: 1.5648901662969077e-05 loss: 0.0344 (0.0433) loss_seg: 0.0376 (0.0464) loss_lansim: 0.0829 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5428 data: 0.0026 max mem: 31671 Epoch: [28] [5270/5278] eta: 0:00:20 lr: 1.5646476500203443e-05 loss: 0.0339 (0.0433) loss_seg: 0.0368 (0.0464) loss_lansim: 0.0829 (0.0822) loss_contra: 0.0000 (0.0019) time: 2.5302 data: 0.0026 max mem: 31671 Epoch: [28] Total time: 3:45:20 Test: [ 0/2573] eta: 1:36:46 time: 2.2567 data: 2.0571 max mem: 31671 Test: [ 100/2573] eta: 0:06:39 time: 0.1404 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:04 time: 0.1462 data: 0.0015 max mem: 31671 Test: [ 300/2573] eta: 0:05:39 time: 0.1406 data: 0.0014 max mem: 31671 Test: [ 400/2573] eta: 0:05:21 time: 0.1433 data: 0.0014 max mem: 31671 Test: [ 500/2573] eta: 0:05:04 time: 0.1435 data: 0.0014 max mem: 31671 Test: [ 600/2573] eta: 0:04:49 time: 0.1456 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:35 time: 0.1486 data: 0.0014 max mem: 31671 Test: [ 800/2573] eta: 0:04:20 time: 0.1458 data: 0.0014 max mem: 31671 Test: [ 900/2573] eta: 0:04:05 time: 0.1460 data: 0.0014 max mem: 31671 Test: [1000/2573] eta: 0:03:50 time: 0.1440 data: 0.0014 max mem: 31671 Test: [1100/2573] eta: 0:03:35 time: 0.1428 data: 0.0014 max mem: 31671 Test: [1200/2573] eta: 0:03:20 time: 0.1454 data: 0.0014 max mem: 31671 Test: [1300/2573] eta: 0:03:05 time: 0.1455 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:51 time: 0.1429 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:36 time: 0.1467 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:21 time: 0.1453 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:07 time: 0.1460 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:52 time: 0.1429 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:37 time: 0.1435 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1433 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:08 time: 0.1471 data: 0.0017 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1418 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1475 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1450 data: 0.0016 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1471 data: 0.0017 max mem: 31671 Test: Total time: 0:06:14 Final results: precision@0.5 = 69.51 precision@0.6 = 65.46 precision@0.7 = 59.56 precision@0.8 = 48.26 precision@0.9 = 24.31 overall IoU = 59.36 mean IoU = 61.92 Average object IoU 0.619163798691424 Overall IoU 59.36381428045211 Epoch: [29] [ 0/5278] eta: 10:52:12 lr: 1.564453633991929e-05 loss: 0.0210 (0.0210) loss_seg: 0.0227 (0.0227) loss_lansim: 0.0839 (0.0839) loss_contra: 0.0013 (0.0013) time: 7.4142 data: 1.2726 max mem: 31671 Epoch: [29] [ 10/5278] eta: 4:19:51 lr: 1.564211110196789e-05 loss: 0.0374 (0.0388) loss_seg: 0.0409 (0.0412) loss_lansim: 0.0880 (0.0883) loss_contra: 0.0005 (0.0005) time: 2.9597 data: 0.1178 max mem: 31671 Epoch: [29] [ 20/5278] eta: 4:01:49 lr: 1.563968582223554e-05 loss: 0.0316 (0.0343) loss_seg: 0.0346 (0.0366) loss_lansim: 0.0858 (0.0859) loss_contra: 0.0001 (0.0010) time: 2.7595 data: 0.0626 max mem: 31671 Epoch: [29] [ 30/5278] eta: 3:54:22 lr: 1.563726050071432e-05 loss: 0.0333 (0.0384) loss_seg: 0.0364 (0.0406) loss_lansim: 0.0857 (0.0855) loss_contra: 0.0000 (0.0009) time: 2.6796 data: 0.0432 max mem: 31671 Epoch: [29] [ 40/5278] eta: 3:50:27 lr: 1.5634835137396307e-05 loss: 0.0348 (0.0403) loss_seg: 0.0381 (0.0424) loss_lansim: 0.0858 (0.0863) loss_contra: 0.0000 (0.0007) time: 2.6399 data: 0.0332 max mem: 31671 Epoch: [29] [ 50/5278] eta: 3:47:05 lr: 1.563240973227358e-05 loss: 0.0374 (0.0439) loss_seg: 0.0399 (0.0465) loss_lansim: 0.0857 (0.0856) loss_contra: 0.0000 (0.0006) time: 2.6062 data: 0.0272 max mem: 31671 Epoch: [29] [ 60/5278] eta: 3:45:43 lr: 1.5629984285338207e-05 loss: 0.0389 (0.0433) loss_seg: 0.0399 (0.0461) loss_lansim: 0.0862 (0.0862) loss_contra: 0.0000 (0.0005) time: 2.5955 data: 0.0232 max mem: 31671 Epoch: [29] [ 70/5278] eta: 3:45:01 lr: 1.562755879658226e-05 loss: 0.0389 (0.0428) loss_seg: 0.0399 (0.0455) loss_lansim: 0.0857 (0.0860) loss_contra: 0.0000 (0.0008) time: 2.5924 data: 0.0203 max mem: 31671 Epoch: [29] [ 80/5278] eta: 3:43:28 lr: 1.5625133265997803e-05 loss: 0.0374 (0.0421) loss_seg: 0.0399 (0.0449) loss_lansim: 0.0842 (0.0856) loss_contra: 0.0000 (0.0012) time: 2.5796 data: 0.0181 max mem: 31671 Epoch: [29] [ 90/5278] eta: 3:42:53 lr: 1.562270769357691e-05 loss: 0.0383 (0.0422) loss_seg: 0.0403 (0.0450) loss_lansim: 0.0839 (0.0849) loss_contra: 0.0000 (0.0011) time: 2.5778 data: 0.0164 max mem: 31671 Epoch: [29] [ 100/5278] eta: 3:42:15 lr: 1.5620282079311626e-05 loss: 0.0389 (0.0423) loss_seg: 0.0406 (0.0449) loss_lansim: 0.0834 (0.0846) loss_contra: 0.0000 (0.0075) time: 2.5271 data: 0.0024 max mem: 31671 Epoch: [29] [ 110/5278] eta: 3:41:42 lr: 1.561785642319402e-05 loss: 0.0383 (0.0423) loss_seg: 0.0399 (0.0451) loss_lansim: 0.0836 (0.0848) loss_contra: 0.0000 (0.0069) time: 2.5316 data: 0.0024 max mem: 31671 Epoch: [29] [ 120/5278] eta: 3:40:55 lr: 1.561543072521614e-05 loss: 0.0391 (0.0426) loss_seg: 0.0410 (0.0454) loss_lansim: 0.0836 (0.0849) loss_contra: 0.0000 (0.0066) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [29] [ 130/5278] eta: 3:40:00 lr: 1.561300498537005e-05 loss: 0.0391 (0.0431) loss_seg: 0.0406 (0.0460) loss_lansim: 0.0834 (0.0848) loss_contra: 0.0000 (0.0063) time: 2.5284 data: 0.0025 max mem: 31671 Epoch: [29] [ 140/5278] eta: 3:39:22 lr: 1.5610579203647786e-05 loss: 0.0391 (0.0443) loss_seg: 0.0406 (0.0473) loss_lansim: 0.0831 (0.0847) loss_contra: 0.0000 (0.0059) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [29] [ 150/5278] eta: 3:39:01 lr: 1.56081533800414e-05 loss: 0.0383 (0.0441) loss_seg: 0.0406 (0.0470) loss_lansim: 0.0831 (0.0841) loss_contra: 0.0000 (0.0058) time: 2.5404 data: 0.0025 max mem: 31671 Epoch: [29] [ 160/5278] eta: 3:38:23 lr: 1.5605727514542936e-05 loss: 0.0375 (0.0442) loss_seg: 0.0406 (0.0470) loss_lansim: 0.0822 (0.0844) loss_contra: 0.0001 (0.0055) time: 2.5388 data: 0.0025 max mem: 31671 Epoch: [29] [ 170/5278] eta: 3:37:41 lr: 1.560330160714444e-05 loss: 0.0372 (0.0439) loss_seg: 0.0386 (0.0468) loss_lansim: 0.0821 (0.0840) loss_contra: 0.0001 (0.0052) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [29] [ 180/5278] eta: 3:36:32 lr: 1.560087565783794e-05 loss: 0.0372 (0.0437) loss_seg: 0.0386 (0.0465) loss_lansim: 0.0822 (0.0840) loss_contra: 0.0001 (0.0049) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [29] [ 190/5278] eta: 3:36:18 lr: 1.5598449666615475e-05 loss: 0.0351 (0.0434) loss_seg: 0.0377 (0.0462) loss_lansim: 0.0830 (0.0842) loss_contra: 0.0001 (0.0048) time: 2.5261 data: 0.0024 max mem: 31671 Epoch: [29] [ 200/5278] eta: 3:35:40 lr: 1.5596023633469077e-05 loss: 0.0358 (0.0434) loss_seg: 0.0384 (0.0463) loss_lansim: 0.0831 (0.0842) loss_contra: 0.0001 (0.0046) time: 2.5209 data: 0.0024 max mem: 31671 Epoch: [29] [ 210/5278] eta: 3:35:21 lr: 1.559359755839078e-05 loss: 0.0375 (0.0439) loss_seg: 0.0406 (0.0469) loss_lansim: 0.0829 (0.0843) loss_contra: 0.0001 (0.0044) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [29] [ 220/5278] eta: 3:34:33 lr: 1.5591171441372607e-05 loss: 0.0375 (0.0440) loss_seg: 0.0391 (0.0469) loss_lansim: 0.0829 (0.0844) loss_contra: 0.0001 (0.0043) time: 2.5152 data: 0.0024 max mem: 31671 Epoch: [29] [ 230/5278] eta: 3:34:03 lr: 1.5588745282406573e-05 loss: 0.0372 (0.0436) loss_seg: 0.0391 (0.0464) loss_lansim: 0.0831 (0.0843) loss_contra: 0.0001 (0.0041) time: 2.5180 data: 0.0024 max mem: 31671 Epoch: [29] [ 240/5278] eta: 3:33:27 lr: 1.558631908148471e-05 loss: 0.0358 (0.0432) loss_seg: 0.0377 (0.0460) loss_lansim: 0.0831 (0.0843) loss_contra: 0.0001 (0.0040) time: 2.5148 data: 0.0024 max mem: 31671 Epoch: [29] [ 250/5278] eta: 3:33:06 lr: 1.5583892838599037e-05 loss: 0.0359 (0.0432) loss_seg: 0.0385 (0.0460) loss_lansim: 0.0830 (0.0840) loss_contra: 0.0001 (0.0038) time: 2.5135 data: 0.0024 max mem: 31671 Epoch: [29] [ 260/5278] eta: 3:32:27 lr: 1.5581466553741555e-05 loss: 0.0372 (0.0431) loss_seg: 0.0392 (0.0458) loss_lansim: 0.0830 (0.0840) loss_contra: 0.0000 (0.0037) time: 2.5083 data: 0.0025 max mem: 31671 Epoch: [29] [ 270/5278] eta: 3:32:12 lr: 1.5579040226904288e-05 loss: 0.0370 (0.0428) loss_seg: 0.0392 (0.0456) loss_lansim: 0.0831 (0.0839) loss_contra: 0.0000 (0.0036) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [29] [ 280/5278] eta: 3:31:42 lr: 1.5576613858079238e-05 loss: 0.0358 (0.0424) loss_seg: 0.0377 (0.0452) loss_lansim: 0.0831 (0.0838) loss_contra: 0.0000 (0.0034) time: 2.5289 data: 0.0025 max mem: 31671 Epoch: [29] [ 290/5278] eta: 3:31:12 lr: 1.5574187447258416e-05 loss: 0.0359 (0.0423) loss_seg: 0.0385 (0.0451) loss_lansim: 0.0827 (0.0836) loss_contra: 0.0000 (0.0035) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [29] [ 300/5278] eta: 3:31:00 lr: 1.5571760994433827e-05 loss: 0.0342 (0.0421) loss_seg: 0.0365 (0.0449) loss_lansim: 0.0819 (0.0836) loss_contra: 0.0000 (0.0033) time: 2.5332 data: 0.0025 max mem: 31671 Epoch: [29] [ 310/5278] eta: 3:30:22 lr: 1.5569334499597464e-05 loss: 0.0332 (0.0419) loss_seg: 0.0357 (0.0447) loss_lansim: 0.0825 (0.0838) loss_contra: 0.0000 (0.0043) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [29] [ 320/5278] eta: 3:29:46 lr: 1.556690796274132e-05 loss: 0.0342 (0.0418) loss_seg: 0.0365 (0.0446) loss_lansim: 0.0812 (0.0837) loss_contra: 0.0000 (0.0042) time: 2.5242 data: 0.0025 max mem: 31671 Epoch: [29] [ 330/5278] eta: 3:29:26 lr: 1.5564481383857403e-05 loss: 0.0332 (0.0417) loss_seg: 0.0358 (0.0445) loss_lansim: 0.0809 (0.0835) loss_contra: 0.0000 (0.0041) time: 2.5295 data: 0.0025 max mem: 31671 Epoch: [29] [ 340/5278] eta: 3:28:57 lr: 1.5562054762937706e-05 loss: 0.0351 (0.0423) loss_seg: 0.0368 (0.0450) loss_lansim: 0.0809 (0.0836) loss_contra: 0.0000 (0.0040) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [29] [ 350/5278] eta: 3:28:40 lr: 1.5559628099974204e-05 loss: 0.0352 (0.0424) loss_seg: 0.0376 (0.0452) loss_lansim: 0.0811 (0.0837) loss_contra: 0.0000 (0.0039) time: 2.5350 data: 0.0025 max mem: 31671 Epoch: [29] [ 360/5278] eta: 3:28:14 lr: 1.5557201394958883e-05 loss: 0.0351 (0.0422) loss_seg: 0.0368 (0.0450) loss_lansim: 0.0809 (0.0838) loss_contra: 0.0000 (0.0041) time: 2.5410 data: 0.0024 max mem: 31671 Epoch: [29] [ 370/5278] eta: 3:27:44 lr: 1.5554774647883735e-05 loss: 0.0351 (0.0421) loss_seg: 0.0368 (0.0449) loss_lansim: 0.0811 (0.0839) loss_contra: 0.0000 (0.0041) time: 2.5317 data: 0.0024 max mem: 31671 Epoch: [29] [ 380/5278] eta: 3:27:17 lr: 1.5552347858740744e-05 loss: 0.0352 (0.0419) loss_seg: 0.0376 (0.0447) loss_lansim: 0.0811 (0.0838) loss_contra: 0.0000 (0.0040) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [29] [ 390/5278] eta: 3:26:44 lr: 1.5549921027521868e-05 loss: 0.0330 (0.0415) loss_seg: 0.0345 (0.0443) loss_lansim: 0.0815 (0.0837) loss_contra: 0.0000 (0.0039) time: 2.5292 data: 0.0025 max mem: 31671 Epoch: [29] [ 400/5278] eta: 3:26:12 lr: 1.5547494154219096e-05 loss: 0.0331 (0.0417) loss_seg: 0.0363 (0.0444) loss_lansim: 0.0811 (0.0835) loss_contra: 0.0000 (0.0038) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [29] [ 410/5278] eta: 3:25:50 lr: 1.554506723882439e-05 loss: 0.0339 (0.0416) loss_seg: 0.0366 (0.0443) loss_lansim: 0.0795 (0.0833) loss_contra: 0.0000 (0.0038) time: 2.5260 data: 0.0025 max mem: 31671 Epoch: [29] [ 420/5278] eta: 3:25:28 lr: 1.554264028132973e-05 loss: 0.0339 (0.0414) loss_seg: 0.0370 (0.0442) loss_lansim: 0.0798 (0.0833) loss_contra: 0.0000 (0.0040) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [29] [ 430/5278] eta: 3:24:54 lr: 1.5540213281727075e-05 loss: 0.0331 (0.0413) loss_seg: 0.0363 (0.0440) loss_lansim: 0.0796 (0.0832) loss_contra: 0.0000 (0.0039) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [29] [ 440/5278] eta: 3:24:23 lr: 1.553778624000838e-05 loss: 0.0321 (0.0413) loss_seg: 0.0346 (0.0441) loss_lansim: 0.0796 (0.0833) loss_contra: 0.0000 (0.0039) time: 2.5206 data: 0.0025 max mem: 31671 Epoch: [29] [ 450/5278] eta: 3:23:49 lr: 1.553535915616561e-05 loss: 0.0317 (0.0412) loss_seg: 0.0345 (0.0439) loss_lansim: 0.0791 (0.0831) loss_contra: 0.0000 (0.0038) time: 2.5060 data: 0.0026 max mem: 31671 Epoch: [29] [ 460/5278] eta: 3:23:17 lr: 1.553293203019073e-05 loss: 0.0331 (0.0412) loss_seg: 0.0348 (0.0439) loss_lansim: 0.0791 (0.0831) loss_contra: 0.0000 (0.0037) time: 2.5000 data: 0.0026 max mem: 31671 Epoch: [29] [ 470/5278] eta: 3:22:47 lr: 1.5530504862075677e-05 loss: 0.0332 (0.0411) loss_seg: 0.0348 (0.0438) loss_lansim: 0.0790 (0.0830) loss_contra: 0.0000 (0.0036) time: 2.4971 data: 0.0026 max mem: 31671 Epoch: [29] [ 480/5278] eta: 3:22:12 lr: 1.5528077651812414e-05 loss: 0.0342 (0.0411) loss_seg: 0.0374 (0.0438) loss_lansim: 0.0794 (0.0829) loss_contra: 0.0000 (0.0036) time: 2.4889 data: 0.0025 max mem: 31671 Epoch: [29] [ 490/5278] eta: 3:21:41 lr: 1.5525650399392883e-05 loss: 0.0366 (0.0419) loss_seg: 0.0388 (0.0447) loss_lansim: 0.0794 (0.0828) loss_contra: 0.0000 (0.0038) time: 2.4870 data: 0.0025 max mem: 31671 Epoch: [29] [ 500/5278] eta: 3:21:06 lr: 1.5523223104809035e-05 loss: 0.0368 (0.0420) loss_seg: 0.0395 (0.0447) loss_lansim: 0.0805 (0.0828) loss_contra: 0.0000 (0.0037) time: 2.4814 data: 0.0025 max mem: 31671 Epoch: [29] [ 510/5278] eta: 3:20:35 lr: 1.5520795768052802e-05 loss: 0.0354 (0.0419) loss_seg: 0.0375 (0.0446) loss_lansim: 0.0802 (0.0827) loss_contra: 0.0000 (0.0037) time: 2.4713 data: 0.0025 max mem: 31671 Epoch: [29] [ 520/5278] eta: 3:20:07 lr: 1.5518368389116127e-05 loss: 0.0350 (0.0418) loss_seg: 0.0374 (0.0446) loss_lansim: 0.0804 (0.0828) loss_contra: 0.0000 (0.0037) time: 2.4640 data: 0.0025 max mem: 31671 Epoch: [29] [ 530/5278] eta: 3:19:41 lr: 1.5515940967990947e-05 loss: 0.0354 (0.0418) loss_seg: 0.0375 (0.0445) loss_lansim: 0.0804 (0.0827) loss_contra: 0.0000 (0.0036) time: 2.4695 data: 0.0025 max mem: 31671 Epoch: [29] [ 540/5278] eta: 3:19:16 lr: 1.5513513504669195e-05 loss: 0.0359 (0.0417) loss_seg: 0.0384 (0.0444) loss_lansim: 0.0796 (0.0827) loss_contra: 0.0000 (0.0036) time: 2.4740 data: 0.0025 max mem: 31671 Epoch: [29] [ 550/5278] eta: 3:18:52 lr: 1.5511085999142806e-05 loss: 0.0348 (0.0415) loss_seg: 0.0375 (0.0442) loss_lansim: 0.0794 (0.0826) loss_contra: 0.0000 (0.0037) time: 2.4822 data: 0.0024 max mem: 31671 Epoch: [29] [ 560/5278] eta: 3:18:21 lr: 1.5508658451403693e-05 loss: 0.0354 (0.0416) loss_seg: 0.0380 (0.0443) loss_lansim: 0.0793 (0.0825) loss_contra: 0.0000 (0.0037) time: 2.4801 data: 0.0024 max mem: 31671 Epoch: [29] [ 570/5278] eta: 3:17:53 lr: 1.550623086144379e-05 loss: 0.0359 (0.0416) loss_seg: 0.0388 (0.0443) loss_lansim: 0.0796 (0.0825) loss_contra: 0.0000 (0.0036) time: 2.4814 data: 0.0025 max mem: 31671 Epoch: [29] [ 580/5278] eta: 3:17:26 lr: 1.5503803229255014e-05 loss: 0.0346 (0.0415) loss_seg: 0.0374 (0.0442) loss_lansim: 0.0801 (0.0825) loss_contra: 0.0000 (0.0036) time: 2.4873 data: 0.0024 max mem: 31671 Epoch: [29] [ 590/5278] eta: 3:16:58 lr: 1.5501375554829296e-05 loss: 0.0345 (0.0414) loss_seg: 0.0374 (0.0441) loss_lansim: 0.0796 (0.0825) loss_contra: 0.0000 (0.0035) time: 2.4890 data: 0.0024 max mem: 31671 Epoch: [29] [ 600/5278] eta: 3:16:34 lr: 1.5498947838158532e-05 loss: 0.0346 (0.0415) loss_seg: 0.0380 (0.0442) loss_lansim: 0.0791 (0.0823) loss_contra: 0.0001 (0.0035) time: 2.5002 data: 0.0024 max mem: 31671 Epoch: [29] [ 610/5278] eta: 3:16:07 lr: 1.5496520079234645e-05 loss: 0.0354 (0.0415) loss_seg: 0.0388 (0.0443) loss_lansim: 0.0792 (0.0824) loss_contra: 0.0001 (0.0034) time: 2.5040 data: 0.0024 max mem: 31671 Epoch: [29] [ 620/5278] eta: 3:15:36 lr: 1.549409227804954e-05 loss: 0.0359 (0.0415) loss_seg: 0.0393 (0.0442) loss_lansim: 0.0791 (0.0823) loss_contra: 0.0000 (0.0034) time: 2.4992 data: 0.0024 max mem: 31671 Epoch: [29] [ 630/5278] eta: 3:15:13 lr: 1.549166443459513e-05 loss: 0.0354 (0.0415) loss_seg: 0.0388 (0.0442) loss_lansim: 0.0784 (0.0822) loss_contra: 0.0000 (0.0034) time: 2.5020 data: 0.0024 max mem: 31671 Epoch: [29] [ 640/5278] eta: 3:14:49 lr: 1.548923654886331e-05 loss: 0.0354 (0.0414) loss_seg: 0.0388 (0.0441) loss_lansim: 0.0783 (0.0821) loss_contra: 0.0000 (0.0034) time: 2.5028 data: 0.0024 max mem: 31671 Epoch: [29] [ 650/5278] eta: 3:14:18 lr: 1.5486808620845983e-05 loss: 0.0354 (0.0413) loss_seg: 0.0388 (0.0440) loss_lansim: 0.0791 (0.0821) loss_contra: 0.0000 (0.0035) time: 2.4932 data: 0.0023 max mem: 31671 Epoch: [29] [ 660/5278] eta: 3:13:56 lr: 1.5484380650535048e-05 loss: 0.0345 (0.0413) loss_seg: 0.0373 (0.0440) loss_lansim: 0.0788 (0.0820) loss_contra: 0.0000 (0.0034) time: 2.5052 data: 0.0023 max mem: 31671 Epoch: [29] [ 670/5278] eta: 3:13:32 lr: 1.5481952637922407e-05 loss: 0.0339 (0.0412) loss_seg: 0.0371 (0.0439) loss_lansim: 0.0787 (0.0819) loss_contra: 0.0000 (0.0039) time: 2.5094 data: 0.0023 max mem: 31671 Epoch: [29] [ 680/5278] eta: 3:13:07 lr: 1.5479524582999935e-05 loss: 0.0339 (0.0411) loss_seg: 0.0363 (0.0438) loss_lansim: 0.0783 (0.0820) loss_contra: 0.0000 (0.0038) time: 2.5117 data: 0.0023 max mem: 31671 Epoch: [29] [ 690/5278] eta: 3:12:45 lr: 1.547709648575953e-05 loss: 0.0339 (0.0410) loss_seg: 0.0363 (0.0437) loss_lansim: 0.0787 (0.0820) loss_contra: 0.0000 (0.0038) time: 2.5201 data: 0.0023 max mem: 31671 Epoch: [29] [ 700/5278] eta: 3:12:18 lr: 1.5474668346193077e-05 loss: 0.0330 (0.0411) loss_seg: 0.0359 (0.0438) loss_lansim: 0.0793 (0.0821) loss_contra: 0.0000 (0.0037) time: 2.5159 data: 0.0023 max mem: 31671 Epoch: [29] [ 710/5278] eta: 3:11:54 lr: 1.5472240164292466e-05 loss: 0.0330 (0.0411) loss_seg: 0.0359 (0.0438) loss_lansim: 0.0794 (0.0821) loss_contra: 0.0000 (0.0037) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [29] [ 720/5278] eta: 3:11:29 lr: 1.5469811940049558e-05 loss: 0.0326 (0.0410) loss_seg: 0.0356 (0.0438) loss_lansim: 0.0794 (0.0821) loss_contra: 0.0000 (0.0040) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [29] [ 730/5278] eta: 3:11:02 lr: 1.5467383673456246e-05 loss: 0.0337 (0.0412) loss_seg: 0.0362 (0.0440) loss_lansim: 0.0803 (0.0821) loss_contra: 0.0000 (0.0040) time: 2.5222 data: 0.0025 max mem: 31671 Epoch: [29] [ 740/5278] eta: 3:10:37 lr: 1.5464955364504395e-05 loss: 0.0336 (0.0412) loss_seg: 0.0362 (0.0439) loss_lansim: 0.0813 (0.0820) loss_contra: 0.0000 (0.0039) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [29] [ 750/5278] eta: 3:10:14 lr: 1.5462527013185884e-05 loss: 0.0329 (0.0411) loss_seg: 0.0354 (0.0438) loss_lansim: 0.0813 (0.0820) loss_contra: 0.0000 (0.0039) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [29] [ 760/5278] eta: 3:09:49 lr: 1.546009861949257e-05 loss: 0.0335 (0.0411) loss_seg: 0.0345 (0.0438) loss_lansim: 0.0813 (0.0819) loss_contra: 0.0000 (0.0039) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [29] [ 770/5278] eta: 3:09:20 lr: 1.5457670183416325e-05 loss: 0.0336 (0.0409) loss_seg: 0.0348 (0.0437) loss_lansim: 0.0813 (0.0819) loss_contra: 0.0000 (0.0040) time: 2.5195 data: 0.0025 max mem: 31671 Epoch: [29] [ 780/5278] eta: 3:08:56 lr: 1.5455241704949008e-05 loss: 0.0335 (0.0409) loss_seg: 0.0362 (0.0436) loss_lansim: 0.0813 (0.0819) loss_contra: 0.0001 (0.0040) time: 2.5219 data: 0.0026 max mem: 31671 Epoch: [29] [ 790/5278] eta: 3:08:32 lr: 1.545281318408248e-05 loss: 0.0334 (0.0408) loss_seg: 0.0360 (0.0435) loss_lansim: 0.0813 (0.0819) loss_contra: 0.0000 (0.0039) time: 2.5197 data: 0.0026 max mem: 31671 Epoch: [29] [ 800/5278] eta: 3:08:03 lr: 1.54503846208086e-05 loss: 0.0338 (0.0409) loss_seg: 0.0366 (0.0436) loss_lansim: 0.0803 (0.0818) loss_contra: 0.0001 (0.0039) time: 2.5143 data: 0.0026 max mem: 31671 Epoch: [29] [ 810/5278] eta: 3:07:37 lr: 1.5447956015119208e-05 loss: 0.0346 (0.0409) loss_seg: 0.0381 (0.0437) loss_lansim: 0.0793 (0.0818) loss_contra: 0.0001 (0.0039) time: 2.5116 data: 0.0025 max mem: 31671 Epoch: [29] [ 820/5278] eta: 3:07:14 lr: 1.5445527367006166e-05 loss: 0.0350 (0.0408) loss_seg: 0.0381 (0.0435) loss_lansim: 0.0797 (0.0818) loss_contra: 0.0001 (0.0038) time: 2.5155 data: 0.0025 max mem: 31671 Epoch: [29] [ 830/5278] eta: 3:06:48 lr: 1.5443098676461314e-05 loss: 0.0334 (0.0407) loss_seg: 0.0365 (0.0435) loss_lansim: 0.0797 (0.0818) loss_contra: 0.0001 (0.0038) time: 2.5162 data: 0.0025 max mem: 31671 Epoch: [29] [ 840/5278] eta: 3:06:25 lr: 1.5440669943476506e-05 loss: 0.0334 (0.0407) loss_seg: 0.0365 (0.0434) loss_lansim: 0.0794 (0.0818) loss_contra: 0.0001 (0.0038) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [29] [ 850/5278] eta: 3:06:02 lr: 1.543824116804357e-05 loss: 0.0341 (0.0407) loss_seg: 0.0367 (0.0435) loss_lansim: 0.0797 (0.0817) loss_contra: 0.0001 (0.0038) time: 2.5212 data: 0.0025 max mem: 31671 Epoch: [29] [ 860/5278] eta: 3:05:38 lr: 1.5435812350154352e-05 loss: 0.0346 (0.0407) loss_seg: 0.0375 (0.0434) loss_lansim: 0.0797 (0.0818) loss_contra: 0.0001 (0.0037) time: 2.5235 data: 0.0026 max mem: 31671 Epoch: [29] [ 870/5278] eta: 3:05:18 lr: 1.543338348980068e-05 loss: 0.0341 (0.0406) loss_seg: 0.0367 (0.0433) loss_lansim: 0.0794 (0.0817) loss_contra: 0.0001 (0.0037) time: 2.5398 data: 0.0026 max mem: 31671 Epoch: [29] [ 880/5278] eta: 3:04:53 lr: 1.54309545869744e-05 loss: 0.0355 (0.0407) loss_seg: 0.0379 (0.0434) loss_lansim: 0.0793 (0.0817) loss_contra: 0.0001 (0.0037) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [29] [ 890/5278] eta: 3:04:30 lr: 1.542852564166732e-05 loss: 0.0342 (0.0405) loss_seg: 0.0374 (0.0433) loss_lansim: 0.0793 (0.0817) loss_contra: 0.0001 (0.0036) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [29] [ 900/5278] eta: 3:04:05 lr: 1.5426096653871282e-05 loss: 0.0339 (0.0405) loss_seg: 0.0365 (0.0432) loss_lansim: 0.0793 (0.0816) loss_contra: 0.0000 (0.0036) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [29] [ 910/5278] eta: 3:03:37 lr: 1.54236676235781e-05 loss: 0.0333 (0.0405) loss_seg: 0.0350 (0.0432) loss_lansim: 0.0795 (0.0817) loss_contra: 0.0000 (0.0036) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [29] [ 920/5278] eta: 3:03:11 lr: 1.54212385507796e-05 loss: 0.0342 (0.0407) loss_seg: 0.0365 (0.0434) loss_lansim: 0.0787 (0.0817) loss_contra: 0.0000 (0.0035) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [29] [ 930/5278] eta: 3:02:48 lr: 1.5418809435467597e-05 loss: 0.0345 (0.0406) loss_seg: 0.0368 (0.0433) loss_lansim: 0.0786 (0.0816) loss_contra: 0.0000 (0.0035) time: 2.5457 data: 0.0026 max mem: 31671 Epoch: [29] [ 940/5278] eta: 3:02:23 lr: 1.5416380277633902e-05 loss: 0.0345 (0.0405) loss_seg: 0.0365 (0.0433) loss_lansim: 0.0786 (0.0816) loss_contra: 0.0000 (0.0035) time: 2.5426 data: 0.0026 max mem: 31671 Epoch: [29] [ 950/5278] eta: 3:01:58 lr: 1.5413951077270328e-05 loss: 0.0333 (0.0406) loss_seg: 0.0350 (0.0433) loss_lansim: 0.0786 (0.0816) loss_contra: 0.0000 (0.0034) time: 2.5398 data: 0.0026 max mem: 31671 Epoch: [29] [ 960/5278] eta: 3:01:31 lr: 1.5411521834368687e-05 loss: 0.0333 (0.0406) loss_seg: 0.0354 (0.0433) loss_lansim: 0.0785 (0.0815) loss_contra: 0.0000 (0.0034) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [29] [ 970/5278] eta: 3:01:05 lr: 1.540909254892077e-05 loss: 0.0335 (0.0406) loss_seg: 0.0365 (0.0433) loss_lansim: 0.0789 (0.0816) loss_contra: 0.0000 (0.0034) time: 2.5216 data: 0.0026 max mem: 31671 Epoch: [29] [ 980/5278] eta: 3:00:40 lr: 1.5406663220918395e-05 loss: 0.0332 (0.0405) loss_seg: 0.0354 (0.0433) loss_lansim: 0.0791 (0.0816) loss_contra: 0.0000 (0.0033) time: 2.5197 data: 0.0026 max mem: 31671 Epoch: [29] [ 990/5278] eta: 3:00:11 lr: 1.540423385035335e-05 loss: 0.0352 (0.0406) loss_seg: 0.0377 (0.0433) loss_lansim: 0.0791 (0.0816) loss_contra: 0.0000 (0.0033) time: 2.5072 data: 0.0026 max mem: 31671 Epoch: [29] [1000/5278] eta: 2:59:48 lr: 1.540180443721744e-05 loss: 0.0355 (0.0406) loss_seg: 0.0382 (0.0434) loss_lansim: 0.0797 (0.0816) loss_contra: 0.0000 (0.0033) time: 2.5129 data: 0.0025 max mem: 31671 Epoch: [29] [1010/5278] eta: 2:59:21 lr: 1.539937498150245e-05 loss: 0.0355 (0.0406) loss_seg: 0.0388 (0.0434) loss_lansim: 0.0792 (0.0815) loss_contra: 0.0000 (0.0033) time: 2.5141 data: 0.0025 max mem: 31671 Epoch: [29] [1020/5278] eta: 2:58:55 lr: 1.539694548320017e-05 loss: 0.0355 (0.0406) loss_seg: 0.0390 (0.0434) loss_lansim: 0.0794 (0.0815) loss_contra: 0.0000 (0.0033) time: 2.5132 data: 0.0025 max mem: 31671 Epoch: [29] [1030/5278] eta: 2:58:30 lr: 1.5394515942302386e-05 loss: 0.0357 (0.0406) loss_seg: 0.0392 (0.0434) loss_lansim: 0.0797 (0.0815) loss_contra: 0.0000 (0.0033) time: 2.5082 data: 0.0025 max mem: 31671 Epoch: [29] [1040/5278] eta: 2:58:05 lr: 1.539208635880089e-05 loss: 0.0357 (0.0406) loss_seg: 0.0392 (0.0433) loss_lansim: 0.0799 (0.0815) loss_contra: 0.0000 (0.0032) time: 2.5085 data: 0.0025 max mem: 31671 Epoch: [29] [1050/5278] eta: 2:57:39 lr: 1.538965673268746e-05 loss: 0.0372 (0.0406) loss_seg: 0.0402 (0.0433) loss_lansim: 0.0798 (0.0814) loss_contra: 0.0000 (0.0032) time: 2.5062 data: 0.0025 max mem: 31671 Epoch: [29] [1060/5278] eta: 2:57:17 lr: 1.538722706395386e-05 loss: 0.0383 (0.0406) loss_seg: 0.0404 (0.0433) loss_lansim: 0.0794 (0.0814) loss_contra: 0.0000 (0.0033) time: 2.5174 data: 0.0024 max mem: 31671 Epoch: [29] [1070/5278] eta: 2:56:51 lr: 1.5384797352591878e-05 loss: 0.0394 (0.0407) loss_seg: 0.0427 (0.0434) loss_lansim: 0.0798 (0.0814) loss_contra: 0.0000 (0.0032) time: 2.5163 data: 0.0024 max mem: 31671 Epoch: [29] [1080/5278] eta: 2:56:27 lr: 1.5382367598593285e-05 loss: 0.0394 (0.0407) loss_seg: 0.0427 (0.0434) loss_lansim: 0.0792 (0.0815) loss_contra: 0.0000 (0.0034) time: 2.5203 data: 0.0024 max mem: 31671 Epoch: [29] [1090/5278] eta: 2:56:06 lr: 1.5379937801949852e-05 loss: 0.0396 (0.0407) loss_seg: 0.0430 (0.0435) loss_lansim: 0.0793 (0.0815) loss_contra: 0.0000 (0.0033) time: 2.5392 data: 0.0024 max mem: 31671 Epoch: [29] [1100/5278] eta: 2:55:40 lr: 1.5377507962653333e-05 loss: 0.0393 (0.0407) loss_seg: 0.0422 (0.0434) loss_lansim: 0.0790 (0.0815) loss_contra: 0.0000 (0.0033) time: 2.5337 data: 0.0024 max mem: 31671 Epoch: [29] [1110/5278] eta: 2:55:15 lr: 1.5375078080695495e-05 loss: 0.0392 (0.0408) loss_seg: 0.0420 (0.0436) loss_lansim: 0.0793 (0.0815) loss_contra: 0.0000 (0.0033) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [29] [1120/5278] eta: 2:54:48 lr: 1.53726481560681e-05 loss: 0.0390 (0.0408) loss_seg: 0.0418 (0.0435) loss_lansim: 0.0800 (0.0815) loss_contra: 0.0000 (0.0033) time: 2.5355 data: 0.0024 max mem: 31671 Epoch: [29] [1130/5278] eta: 2:54:23 lr: 1.5370218188762912e-05 loss: 0.0389 (0.0409) loss_seg: 0.0416 (0.0436) loss_lansim: 0.0793 (0.0815) loss_contra: 0.0000 (0.0033) time: 2.5362 data: 0.0024 max mem: 31671 Epoch: [29] [1140/5278] eta: 2:54:01 lr: 1.5367788178771666e-05 loss: 0.0390 (0.0408) loss_seg: 0.0420 (0.0436) loss_lansim: 0.0794 (0.0815) loss_contra: 0.0000 (0.0032) time: 2.5427 data: 0.0025 max mem: 31671 Epoch: [29] [1150/5278] eta: 2:53:37 lr: 1.5365358126086125e-05 loss: 0.0384 (0.0408) loss_seg: 0.0407 (0.0435) loss_lansim: 0.0810 (0.0815) loss_contra: 0.0000 (0.0032) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [29] [1160/5278] eta: 2:53:12 lr: 1.5362928030698034e-05 loss: 0.0379 (0.0408) loss_seg: 0.0403 (0.0435) loss_lansim: 0.0813 (0.0815) loss_contra: 0.0000 (0.0032) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [29] [1170/5278] eta: 2:52:47 lr: 1.536049789259914e-05 loss: 0.0379 (0.0408) loss_seg: 0.0403 (0.0436) loss_lansim: 0.0810 (0.0815) loss_contra: 0.0000 (0.0032) time: 2.5449 data: 0.0025 max mem: 31671 Epoch: [29] [1180/5278] eta: 2:52:23 lr: 1.5358067711781177e-05 loss: 0.0379 (0.0408) loss_seg: 0.0406 (0.0435) loss_lansim: 0.0814 (0.0815) loss_contra: 0.0000 (0.0031) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [29] [1190/5278] eta: 2:51:59 lr: 1.5355637488235886e-05 loss: 0.0365 (0.0408) loss_seg: 0.0380 (0.0436) loss_lansim: 0.0810 (0.0815) loss_contra: 0.0000 (0.0031) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [29] [1200/5278] eta: 2:51:35 lr: 1.5353207221955002e-05 loss: 0.0369 (0.0408) loss_seg: 0.0403 (0.0436) loss_lansim: 0.0810 (0.0815) loss_contra: 0.0000 (0.0031) time: 2.5433 data: 0.0025 max mem: 31671 Epoch: [29] [1210/5278] eta: 2:51:10 lr: 1.535077691293026e-05 loss: 0.0379 (0.0409) loss_seg: 0.0406 (0.0436) loss_lansim: 0.0807 (0.0815) loss_contra: 0.0000 (0.0031) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [29] [1220/5278] eta: 2:50:44 lr: 1.5348346561153387e-05 loss: 0.0358 (0.0408) loss_seg: 0.0380 (0.0436) loss_lansim: 0.0805 (0.0815) loss_contra: 0.0000 (0.0030) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [29] [1230/5278] eta: 2:50:19 lr: 1.5345916166616106e-05 loss: 0.0356 (0.0408) loss_seg: 0.0377 (0.0436) loss_lansim: 0.0805 (0.0815) loss_contra: 0.0000 (0.0030) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [29] [1240/5278] eta: 2:49:58 lr: 1.5343485729310142e-05 loss: 0.0366 (0.0409) loss_seg: 0.0397 (0.0437) loss_lansim: 0.0800 (0.0815) loss_contra: 0.0000 (0.0030) time: 2.5529 data: 0.0025 max mem: 31671 Epoch: [29] [1250/5278] eta: 2:49:41 lr: 1.5341055249227222e-05 loss: 0.0386 (0.0408) loss_seg: 0.0423 (0.0436) loss_lansim: 0.0793 (0.0815) loss_contra: 0.0000 (0.0030) time: 2.5734 data: 0.0025 max mem: 31671 Epoch: [29] [1260/5278] eta: 2:49:16 lr: 1.5338624726359048e-05 loss: 0.0356 (0.0408) loss_seg: 0.0382 (0.0436) loss_lansim: 0.0793 (0.0815) loss_contra: 0.0000 (0.0030) time: 2.5767 data: 0.0025 max mem: 31671 Epoch: [29] [1270/5278] eta: 2:48:49 lr: 1.5336194160697343e-05 loss: 0.0355 (0.0407) loss_seg: 0.0381 (0.0435) loss_lansim: 0.0784 (0.0814) loss_contra: 0.0000 (0.0029) time: 2.5693 data: 0.0025 max mem: 31671 Epoch: [29] [1280/5278] eta: 2:48:27 lr: 1.5333763552233814e-05 loss: 0.0356 (0.0408) loss_seg: 0.0382 (0.0435) loss_lansim: 0.0783 (0.0814) loss_contra: 0.0000 (0.0029) time: 2.5767 data: 0.0025 max mem: 31671 Epoch: [29] [1290/5278] eta: 2:48:01 lr: 1.533133290096017e-05 loss: 0.0355 (0.0407) loss_seg: 0.0386 (0.0435) loss_lansim: 0.0791 (0.0815) loss_contra: 0.0000 (0.0029) time: 2.5722 data: 0.0025 max mem: 31671 Epoch: [29] [1300/5278] eta: 2:47:36 lr: 1.5328902206868126e-05 loss: 0.0353 (0.0407) loss_seg: 0.0379 (0.0435) loss_lansim: 0.0783 (0.0814) loss_contra: 0.0000 (0.0029) time: 2.5688 data: 0.0025 max mem: 31671 Epoch: [29] [1310/5278] eta: 2:47:11 lr: 1.5326471469949363e-05 loss: 0.0353 (0.0407) loss_seg: 0.0379 (0.0435) loss_lansim: 0.0783 (0.0814) loss_contra: 0.0000 (0.0029) time: 2.5688 data: 0.0025 max mem: 31671 Epoch: [29] [1320/5278] eta: 2:46:46 lr: 1.532404069019559e-05 loss: 0.0355 (0.0407) loss_seg: 0.0386 (0.0435) loss_lansim: 0.0783 (0.0814) loss_contra: 0.0000 (0.0029) time: 2.5725 data: 0.0025 max mem: 31671 Epoch: [29] [1330/5278] eta: 2:46:22 lr: 1.53216098675985e-05 loss: 0.0353 (0.0407) loss_seg: 0.0386 (0.0434) loss_lansim: 0.0783 (0.0814) loss_contra: 0.0000 (0.0029) time: 2.5771 data: 0.0025 max mem: 31671 Epoch: [29] [1340/5278] eta: 2:45:56 lr: 1.5319179002149797e-05 loss: 0.0353 (0.0408) loss_seg: 0.0386 (0.0436) loss_lansim: 0.0784 (0.0813) loss_contra: 0.0000 (0.0028) time: 2.5623 data: 0.0025 max mem: 31671 Epoch: [29] [1350/5278] eta: 2:45:33 lr: 1.531674809384115e-05 loss: 0.0356 (0.0408) loss_seg: 0.0391 (0.0436) loss_lansim: 0.0784 (0.0813) loss_contra: 0.0000 (0.0028) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [29] [1360/5278] eta: 2:45:08 lr: 1.5314317142664258e-05 loss: 0.0365 (0.0408) loss_seg: 0.0400 (0.0436) loss_lansim: 0.0783 (0.0812) loss_contra: 0.0000 (0.0028) time: 2.5446 data: 0.0024 max mem: 31671 Epoch: [29] [1370/5278] eta: 2:44:44 lr: 1.53118861486108e-05 loss: 0.0360 (0.0408) loss_seg: 0.0395 (0.0436) loss_lansim: 0.0792 (0.0813) loss_contra: 0.0000 (0.0028) time: 2.5554 data: 0.0025 max mem: 31671 Epoch: [29] [1380/5278] eta: 2:44:21 lr: 1.530945511167246e-05 loss: 0.0362 (0.0408) loss_seg: 0.0396 (0.0436) loss_lansim: 0.0800 (0.0813) loss_contra: 0.0000 (0.0028) time: 2.5515 data: 0.0024 max mem: 31671 Epoch: [29] [1390/5278] eta: 2:43:57 lr: 1.5307024031840907e-05 loss: 0.0373 (0.0408) loss_seg: 0.0409 (0.0436) loss_lansim: 0.0794 (0.0813) loss_contra: 0.0000 (0.0028) time: 2.5590 data: 0.0024 max mem: 31671 Epoch: [29] [1400/5278] eta: 2:43:33 lr: 1.530459290910782e-05 loss: 0.0375 (0.0408) loss_seg: 0.0411 (0.0436) loss_lansim: 0.0794 (0.0813) loss_contra: 0.0000 (0.0028) time: 2.5613 data: 0.0024 max mem: 31671 Epoch: [29] [1410/5278] eta: 2:43:08 lr: 1.5302161743464864e-05 loss: 0.0362 (0.0407) loss_seg: 0.0397 (0.0435) loss_lansim: 0.0804 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5645 data: 0.0024 max mem: 31671 Epoch: [29] [1420/5278] eta: 2:42:44 lr: 1.529973053490372e-05 loss: 0.0369 (0.0408) loss_seg: 0.0404 (0.0436) loss_lansim: 0.0806 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5696 data: 0.0024 max mem: 31671 Epoch: [29] [1430/5278] eta: 2:42:22 lr: 1.5297299283416036e-05 loss: 0.0367 (0.0408) loss_seg: 0.0401 (0.0436) loss_lansim: 0.0806 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5747 data: 0.0024 max mem: 31671 Epoch: [29] [1440/5278] eta: 2:41:58 lr: 1.5294867988993482e-05 loss: 0.0351 (0.0407) loss_seg: 0.0367 (0.0435) loss_lansim: 0.0817 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5847 data: 0.0024 max mem: 31671 Epoch: [29] [1450/5278] eta: 2:41:32 lr: 1.5292436651627713e-05 loss: 0.0355 (0.0408) loss_seg: 0.0389 (0.0436) loss_lansim: 0.0820 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5771 data: 0.0024 max mem: 31671 Epoch: [29] [1460/5278] eta: 2:41:10 lr: 1.529000527131039e-05 loss: 0.0355 (0.0408) loss_seg: 0.0389 (0.0436) loss_lansim: 0.0828 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5859 data: 0.0024 max mem: 31671 Epoch: [29] [1470/5278] eta: 2:40:45 lr: 1.5287573848033156e-05 loss: 0.0373 (0.0408) loss_seg: 0.0403 (0.0436) loss_lansim: 0.0817 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5844 data: 0.0024 max mem: 31671 Epoch: [29] [1480/5278] eta: 2:40:19 lr: 1.528514238178767e-05 loss: 0.0372 (0.0408) loss_seg: 0.0403 (0.0436) loss_lansim: 0.0804 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5742 data: 0.0025 max mem: 31671 Epoch: [29] [1490/5278] eta: 2:39:55 lr: 1.5282710872565565e-05 loss: 0.0372 (0.0408) loss_seg: 0.0402 (0.0436) loss_lansim: 0.0806 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5730 data: 0.0025 max mem: 31671 Epoch: [29] [1500/5278] eta: 2:39:31 lr: 1.5280279320358505e-05 loss: 0.0366 (0.0408) loss_seg: 0.0388 (0.0436) loss_lansim: 0.0804 (0.0813) loss_contra: 0.0000 (0.0027) time: 2.5770 data: 0.0025 max mem: 31671 Epoch: [29] [1510/5278] eta: 2:39:04 lr: 1.5277847725158103e-05 loss: 0.0372 (0.0407) loss_seg: 0.0401 (0.0436) loss_lansim: 0.0792 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5663 data: 0.0025 max mem: 31671 Epoch: [29] [1520/5278] eta: 2:38:38 lr: 1.5275416086956013e-05 loss: 0.0366 (0.0409) loss_seg: 0.0388 (0.0437) loss_lansim: 0.0789 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5572 data: 0.0025 max mem: 31671 Epoch: [29] [1530/5278] eta: 2:38:12 lr: 1.527298440574386e-05 loss: 0.0373 (0.0408) loss_seg: 0.0398 (0.0437) loss_lansim: 0.0789 (0.0812) loss_contra: 0.0001 (0.0026) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [29] [1540/5278] eta: 2:37:49 lr: 1.527055268151328e-05 loss: 0.0374 (0.0408) loss_seg: 0.0402 (0.0437) loss_lansim: 0.0786 (0.0812) loss_contra: 0.0001 (0.0026) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [29] [1550/5278] eta: 2:37:23 lr: 1.5268120914255903e-05 loss: 0.0379 (0.0409) loss_seg: 0.0403 (0.0437) loss_lansim: 0.0775 (0.0811) loss_contra: 0.0000 (0.0027) time: 2.5499 data: 0.0026 max mem: 31671 Epoch: [29] [1560/5278] eta: 2:36:59 lr: 1.5265689103963342e-05 loss: 0.0373 (0.0408) loss_seg: 0.0388 (0.0436) loss_lansim: 0.0760 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5420 data: 0.0026 max mem: 31671 Epoch: [29] [1570/5278] eta: 2:36:32 lr: 1.5263257250627226e-05 loss: 0.0350 (0.0407) loss_seg: 0.0375 (0.0436) loss_lansim: 0.0760 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5345 data: 0.0026 max mem: 31671 Epoch: [29] [1580/5278] eta: 2:36:11 lr: 1.5260825354239173e-05 loss: 0.0349 (0.0407) loss_seg: 0.0372 (0.0435) loss_lansim: 0.0758 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5540 data: 0.0026 max mem: 31671 Epoch: [29] [1590/5278] eta: 2:35:45 lr: 1.5258393414790798e-05 loss: 0.0340 (0.0407) loss_seg: 0.0369 (0.0435) loss_lansim: 0.0749 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5452 data: 0.0026 max mem: 31671 Epoch: [29] [1600/5278] eta: 2:35:19 lr: 1.5255961432273704e-05 loss: 0.0349 (0.0406) loss_seg: 0.0369 (0.0434) loss_lansim: 0.0749 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [29] [1610/5278] eta: 2:34:54 lr: 1.525352940667951e-05 loss: 0.0359 (0.0406) loss_seg: 0.0375 (0.0434) loss_lansim: 0.0755 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5496 data: 0.0026 max mem: 31671 Epoch: [29] [1620/5278] eta: 2:34:30 lr: 1.5251097337999814e-05 loss: 0.0359 (0.0408) loss_seg: 0.0376 (0.0436) loss_lansim: 0.0766 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5572 data: 0.0026 max mem: 31671 Epoch: [29] [1630/5278] eta: 2:34:03 lr: 1.5248665226226228e-05 loss: 0.0365 (0.0409) loss_seg: 0.0383 (0.0437) loss_lansim: 0.0770 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5530 data: 0.0026 max mem: 31671 Epoch: [29] [1640/5278] eta: 2:33:36 lr: 1.5246233071350339e-05 loss: 0.0373 (0.0409) loss_seg: 0.0392 (0.0437) loss_lansim: 0.0776 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5359 data: 0.0026 max mem: 31671 Epoch: [29] [1650/5278] eta: 2:33:12 lr: 1.5243800873363747e-05 loss: 0.0359 (0.0409) loss_seg: 0.0381 (0.0437) loss_lansim: 0.0784 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [29] [1660/5278] eta: 2:32:46 lr: 1.5241368632258049e-05 loss: 0.0364 (0.0409) loss_seg: 0.0381 (0.0437) loss_lansim: 0.0791 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [29] [1670/5278] eta: 2:32:21 lr: 1.5238936348024834e-05 loss: 0.0383 (0.0409) loss_seg: 0.0407 (0.0437) loss_lansim: 0.0784 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [29] [1680/5278] eta: 2:31:56 lr: 1.5236504020655684e-05 loss: 0.0391 (0.0409) loss_seg: 0.0416 (0.0438) loss_lansim: 0.0785 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [29] [1690/5278] eta: 2:31:30 lr: 1.5234071650142188e-05 loss: 0.0395 (0.0410) loss_seg: 0.0416 (0.0438) loss_lansim: 0.0800 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5267 data: 0.0024 max mem: 31671 Epoch: [29] [1700/5278] eta: 2:31:06 lr: 1.5231639236475917e-05 loss: 0.0391 (0.0409) loss_seg: 0.0419 (0.0437) loss_lansim: 0.0800 (0.0810) loss_contra: 0.0000 (0.0026) time: 2.5385 data: 0.0024 max mem: 31671 Epoch: [29] [1710/5278] eta: 2:30:42 lr: 1.5229206779648464e-05 loss: 0.0391 (0.0411) loss_seg: 0.0419 (0.0439) loss_lansim: 0.0801 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5387 data: 0.0024 max mem: 31671 Epoch: [29] [1720/5278] eta: 2:30:16 lr: 1.5226774279651387e-05 loss: 0.0381 (0.0410) loss_seg: 0.0407 (0.0438) loss_lansim: 0.0804 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [29] [1730/5278] eta: 2:29:51 lr: 1.5224341736476267e-05 loss: 0.0378 (0.0411) loss_seg: 0.0402 (0.0439) loss_lansim: 0.0801 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5390 data: 0.0024 max mem: 31671 Epoch: [29] [1740/5278] eta: 2:29:28 lr: 1.5221909150114664e-05 loss: 0.0378 (0.0411) loss_seg: 0.0402 (0.0439) loss_lansim: 0.0795 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5569 data: 0.0025 max mem: 31671 Epoch: [29] [1750/5278] eta: 2:29:01 lr: 1.5219476520558153e-05 loss: 0.0366 (0.0410) loss_seg: 0.0401 (0.0439) loss_lansim: 0.0793 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [29] [1760/5278] eta: 2:28:37 lr: 1.5217043847798285e-05 loss: 0.0362 (0.0410) loss_seg: 0.0399 (0.0438) loss_lansim: 0.0786 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5569 data: 0.0025 max mem: 31671 Epoch: [29] [1770/5278] eta: 2:28:10 lr: 1.5214611131826623e-05 loss: 0.0356 (0.0410) loss_seg: 0.0384 (0.0438) loss_lansim: 0.0786 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5484 data: 0.0025 max mem: 31671 Epoch: [29] [1780/5278] eta: 2:27:46 lr: 1.5212178372634723e-05 loss: 0.0356 (0.0410) loss_seg: 0.0381 (0.0438) loss_lansim: 0.0770 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5470 data: 0.0025 max mem: 31671 Epoch: [29] [1790/5278] eta: 2:27:20 lr: 1.5209745570214134e-05 loss: 0.0356 (0.0409) loss_seg: 0.0368 (0.0438) loss_lansim: 0.0763 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5538 data: 0.0025 max mem: 31671 Epoch: [29] [1800/5278] eta: 2:26:55 lr: 1.5207312724556413e-05 loss: 0.0360 (0.0410) loss_seg: 0.0384 (0.0438) loss_lansim: 0.0770 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5446 data: 0.0025 max mem: 31671 Epoch: [29] [1810/5278] eta: 2:26:30 lr: 1.5204879835653093e-05 loss: 0.0356 (0.0410) loss_seg: 0.0381 (0.0438) loss_lansim: 0.0770 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [29] [1820/5278] eta: 2:26:05 lr: 1.5202446903495726e-05 loss: 0.0347 (0.0410) loss_seg: 0.0368 (0.0439) loss_lansim: 0.0770 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [29] [1830/5278] eta: 2:25:39 lr: 1.5200013928075846e-05 loss: 0.0347 (0.0410) loss_seg: 0.0368 (0.0439) loss_lansim: 0.0770 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [29] [1840/5278] eta: 2:25:13 lr: 1.5197580909384998e-05 loss: 0.0347 (0.0410) loss_seg: 0.0368 (0.0439) loss_lansim: 0.0770 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5305 data: 0.0025 max mem: 31671 Epoch: [29] [1850/5278] eta: 2:24:48 lr: 1.5195147847414703e-05 loss: 0.0355 (0.0411) loss_seg: 0.0386 (0.0440) loss_lansim: 0.0770 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [29] [1860/5278] eta: 2:24:21 lr: 1.5192714742156497e-05 loss: 0.0360 (0.0412) loss_seg: 0.0391 (0.0440) loss_lansim: 0.0773 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [29] [1870/5278] eta: 2:23:56 lr: 1.5190281593601906e-05 loss: 0.0377 (0.0412) loss_seg: 0.0405 (0.0440) loss_lansim: 0.0784 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5272 data: 0.0025 max mem: 31671 Epoch: [29] [1880/5278] eta: 2:23:30 lr: 1.518784840174246e-05 loss: 0.0369 (0.0412) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0790 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5209 data: 0.0024 max mem: 31671 Epoch: [29] [1890/5278] eta: 2:23:05 lr: 1.5185415166569669e-05 loss: 0.0372 (0.0412) loss_seg: 0.0408 (0.0440) loss_lansim: 0.0788 (0.0808) loss_contra: 0.0000 (0.0025) time: 2.5246 data: 0.0025 max mem: 31671 Epoch: [29] [1900/5278] eta: 2:22:40 lr: 1.5182981888075054e-05 loss: 0.0372 (0.0412) loss_seg: 0.0408 (0.0440) loss_lansim: 0.0783 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [29] [1910/5278] eta: 2:22:17 lr: 1.518054856625013e-05 loss: 0.0367 (0.0411) loss_seg: 0.0402 (0.0440) loss_lansim: 0.0786 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [29] [1920/5278] eta: 2:21:51 lr: 1.5178115201086412e-05 loss: 0.0388 (0.0412) loss_seg: 0.0425 (0.0441) loss_lansim: 0.0788 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [29] [1930/5278] eta: 2:21:28 lr: 1.5175681792575399e-05 loss: 0.0388 (0.0412) loss_seg: 0.0425 (0.0441) loss_lansim: 0.0804 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [29] [1940/5278] eta: 2:21:01 lr: 1.5173248340708602e-05 loss: 0.0381 (0.0412) loss_seg: 0.0418 (0.0441) loss_lansim: 0.0819 (0.0808) loss_contra: 0.0000 (0.0026) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [29] [1950/5278] eta: 2:20:39 lr: 1.5170814845477516e-05 loss: 0.0375 (0.0412) loss_seg: 0.0408 (0.0440) loss_lansim: 0.0822 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [29] [1960/5278] eta: 2:20:13 lr: 1.5168381306873652e-05 loss: 0.0372 (0.0411) loss_seg: 0.0402 (0.0440) loss_lansim: 0.0823 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5642 data: 0.0025 max mem: 31671 Epoch: [29] [1970/5278] eta: 2:19:48 lr: 1.516594772488849e-05 loss: 0.0367 (0.0411) loss_seg: 0.0393 (0.0440) loss_lansim: 0.0801 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [29] [1980/5278] eta: 2:19:23 lr: 1.5163514099513528e-05 loss: 0.0367 (0.0411) loss_seg: 0.0393 (0.0440) loss_lansim: 0.0812 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5740 data: 0.0025 max mem: 31671 Epoch: [29] [1990/5278] eta: 2:18:57 lr: 1.5161080430740255e-05 loss: 0.0361 (0.0412) loss_seg: 0.0393 (0.0440) loss_lansim: 0.0833 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5699 data: 0.0026 max mem: 31671 Epoch: [29] [2000/5278] eta: 2:18:31 lr: 1.5158646718560157e-05 loss: 0.0373 (0.0412) loss_seg: 0.0392 (0.0440) loss_lansim: 0.0830 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5620 data: 0.0025 max mem: 31671 Epoch: [29] [2010/5278] eta: 2:18:09 lr: 1.5156212962964722e-05 loss: 0.0381 (0.0412) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0827 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5684 data: 0.0025 max mem: 31671 Epoch: [29] [2020/5278] eta: 2:17:44 lr: 1.5153779163945417e-05 loss: 0.0361 (0.0412) loss_seg: 0.0392 (0.0440) loss_lansim: 0.0827 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5770 data: 0.0025 max mem: 31671 Epoch: [29] [2030/5278] eta: 2:17:20 lr: 1.515134532149372e-05 loss: 0.0358 (0.0411) loss_seg: 0.0388 (0.0440) loss_lansim: 0.0827 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5689 data: 0.0025 max mem: 31671 Epoch: [29] [2040/5278] eta: 2:16:56 lr: 1.5148911435601113e-05 loss: 0.0358 (0.0411) loss_seg: 0.0389 (0.0439) loss_lansim: 0.0819 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5869 data: 0.0025 max mem: 31671 Epoch: [29] [2050/5278] eta: 2:16:30 lr: 1.514647750625906e-05 loss: 0.0358 (0.0411) loss_seg: 0.0388 (0.0439) loss_lansim: 0.0826 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5670 data: 0.0025 max mem: 31671 Epoch: [29] [2060/5278] eta: 2:16:05 lr: 1.5144043533459026e-05 loss: 0.0360 (0.0411) loss_seg: 0.0388 (0.0439) loss_lansim: 0.0815 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5689 data: 0.0025 max mem: 31671 Epoch: [29] [2070/5278] eta: 2:15:39 lr: 1.5141609517192474e-05 loss: 0.0361 (0.0411) loss_seg: 0.0388 (0.0439) loss_lansim: 0.0816 (0.0809) loss_contra: 0.0000 (0.0026) time: 2.5636 data: 0.0025 max mem: 31671 Epoch: [29] [2080/5278] eta: 2:15:14 lr: 1.5139175457450864e-05 loss: 0.0360 (0.0411) loss_seg: 0.0385 (0.0439) loss_lansim: 0.0815 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5685 data: 0.0025 max mem: 31671 Epoch: [29] [2090/5278] eta: 2:14:49 lr: 1.5136741354225659e-05 loss: 0.0360 (0.0413) loss_seg: 0.0385 (0.0441) loss_lansim: 0.0799 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5713 data: 0.0025 max mem: 31671 Epoch: [29] [2100/5278] eta: 2:14:24 lr: 1.5134307207508299e-05 loss: 0.0355 (0.0413) loss_seg: 0.0385 (0.0441) loss_lansim: 0.0799 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5743 data: 0.0025 max mem: 31671 Epoch: [29] [2110/5278] eta: 2:13:58 lr: 1.5131873017290246e-05 loss: 0.0353 (0.0413) loss_seg: 0.0380 (0.0441) loss_lansim: 0.0797 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5563 data: 0.0026 max mem: 31671 Epoch: [29] [2120/5278] eta: 2:13:32 lr: 1.5129438783562944e-05 loss: 0.0353 (0.0413) loss_seg: 0.0368 (0.0441) loss_lansim: 0.0794 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5443 data: 0.0026 max mem: 31671 Epoch: [29] [2130/5278] eta: 2:13:06 lr: 1.5127004506317837e-05 loss: 0.0355 (0.0412) loss_seg: 0.0356 (0.0441) loss_lansim: 0.0797 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5344 data: 0.0026 max mem: 31671 Epoch: [29] [2140/5278] eta: 2:12:40 lr: 1.5124570185546364e-05 loss: 0.0353 (0.0412) loss_seg: 0.0368 (0.0441) loss_lansim: 0.0794 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5182 data: 0.0026 max mem: 31671 Epoch: [29] [2150/5278] eta: 2:12:17 lr: 1.5122135821239963e-05 loss: 0.0359 (0.0412) loss_seg: 0.0374 (0.0441) loss_lansim: 0.0796 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5430 data: 0.0026 max mem: 31671 Epoch: [29] [2160/5278] eta: 2:11:52 lr: 1.5119701413390067e-05 loss: 0.0364 (0.0412) loss_seg: 0.0396 (0.0441) loss_lansim: 0.0796 (0.0809) loss_contra: 0.0000 (0.0025) time: 2.5420 data: 0.0026 max mem: 31671 Epoch: [29] [2170/5278] eta: 2:11:26 lr: 1.5117266961988114e-05 loss: 0.0364 (0.0412) loss_seg: 0.0396 (0.0441) loss_lansim: 0.0791 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5429 data: 0.0026 max mem: 31671 Epoch: [29] [2180/5278] eta: 2:11:00 lr: 1.5114832467025523e-05 loss: 0.0372 (0.0412) loss_seg: 0.0409 (0.0441) loss_lansim: 0.0786 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [29] [2190/5278] eta: 2:10:34 lr: 1.5112397928493718e-05 loss: 0.0373 (0.0412) loss_seg: 0.0409 (0.0441) loss_lansim: 0.0789 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5261 data: 0.0026 max mem: 31671 Epoch: [29] [2200/5278] eta: 2:10:08 lr: 1.5109963346384127e-05 loss: 0.0364 (0.0412) loss_seg: 0.0388 (0.0441) loss_lansim: 0.0783 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5217 data: 0.0026 max mem: 31671 Epoch: [29] [2210/5278] eta: 2:09:42 lr: 1.5107528720688168e-05 loss: 0.0372 (0.0412) loss_seg: 0.0384 (0.0441) loss_lansim: 0.0781 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5227 data: 0.0026 max mem: 31671 Epoch: [29] [2220/5278] eta: 2:09:17 lr: 1.510509405139725e-05 loss: 0.0364 (0.0412) loss_seg: 0.0381 (0.0440) loss_lansim: 0.0774 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5306 data: 0.0025 max mem: 31671 Epoch: [29] [2230/5278] eta: 2:08:53 lr: 1.5102659338502787e-05 loss: 0.0368 (0.0411) loss_seg: 0.0381 (0.0440) loss_lansim: 0.0768 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5418 data: 0.0025 max mem: 31671 Epoch: [29] [2240/5278] eta: 2:08:27 lr: 1.510022458199619e-05 loss: 0.0368 (0.0411) loss_seg: 0.0381 (0.0439) loss_lansim: 0.0774 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [29] [2250/5278] eta: 2:08:01 lr: 1.5097789781868857e-05 loss: 0.0368 (0.0411) loss_seg: 0.0372 (0.0440) loss_lansim: 0.0774 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [29] [2260/5278] eta: 2:07:35 lr: 1.5095354938112205e-05 loss: 0.0346 (0.0411) loss_seg: 0.0356 (0.0440) loss_lansim: 0.0780 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5159 data: 0.0024 max mem: 31671 Epoch: [29] [2270/5278] eta: 2:07:09 lr: 1.5092920050717616e-05 loss: 0.0351 (0.0411) loss_seg: 0.0360 (0.0440) loss_lansim: 0.0783 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [29] [2280/5278] eta: 2:06:44 lr: 1.5090485119676492e-05 loss: 0.0352 (0.0411) loss_seg: 0.0362 (0.0440) loss_lansim: 0.0783 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [29] [2290/5278] eta: 2:06:18 lr: 1.5088050144980226e-05 loss: 0.0335 (0.0411) loss_seg: 0.0357 (0.0439) loss_lansim: 0.0780 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5205 data: 0.0025 max mem: 31671 Epoch: [29] [2300/5278] eta: 2:05:52 lr: 1.5085615126620212e-05 loss: 0.0346 (0.0412) loss_seg: 0.0365 (0.0440) loss_lansim: 0.0784 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [29] [2310/5278] eta: 2:05:27 lr: 1.5083180064587824e-05 loss: 0.0346 (0.0412) loss_seg: 0.0362 (0.0440) loss_lansim: 0.0787 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [29] [2320/5278] eta: 2:05:02 lr: 1.508074495887445e-05 loss: 0.0361 (0.0411) loss_seg: 0.0377 (0.0440) loss_lansim: 0.0803 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [29] [2330/5278] eta: 2:04:37 lr: 1.5078309809471472e-05 loss: 0.0360 (0.0411) loss_seg: 0.0386 (0.0440) loss_lansim: 0.0812 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [29] [2340/5278] eta: 2:04:11 lr: 1.507587461637027e-05 loss: 0.0361 (0.0412) loss_seg: 0.0394 (0.0440) loss_lansim: 0.0809 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5186 data: 0.0025 max mem: 31671 Epoch: [29] [2350/5278] eta: 2:03:46 lr: 1.5073439379562205e-05 loss: 0.0361 (0.0411) loss_seg: 0.0396 (0.0440) loss_lansim: 0.0803 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [29] [2360/5278] eta: 2:03:20 lr: 1.507100409903865e-05 loss: 0.0370 (0.0412) loss_seg: 0.0404 (0.0440) loss_lansim: 0.0803 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [29] [2370/5278] eta: 2:02:54 lr: 1.5068568774790975e-05 loss: 0.0368 (0.0412) loss_seg: 0.0396 (0.0441) loss_lansim: 0.0783 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5268 data: 0.0025 max mem: 31671 Epoch: [29] [2380/5278] eta: 2:02:29 lr: 1.5066133406810546e-05 loss: 0.0370 (0.0412) loss_seg: 0.0404 (0.0441) loss_lansim: 0.0814 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5257 data: 0.0025 max mem: 31671 Epoch: [29] [2390/5278] eta: 2:02:03 lr: 1.5063697995088712e-05 loss: 0.0370 (0.0412) loss_seg: 0.0396 (0.0441) loss_lansim: 0.0814 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [29] [2400/5278] eta: 2:01:37 lr: 1.5061262539616839e-05 loss: 0.0360 (0.0412) loss_seg: 0.0392 (0.0440) loss_lansim: 0.0804 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [29] [2410/5278] eta: 2:01:12 lr: 1.5058827040386273e-05 loss: 0.0360 (0.0412) loss_seg: 0.0386 (0.0440) loss_lansim: 0.0804 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5320 data: 0.0025 max mem: 31671 Epoch: [29] [2420/5278] eta: 2:00:47 lr: 1.5056391497388376e-05 loss: 0.0354 (0.0412) loss_seg: 0.0376 (0.0440) loss_lansim: 0.0805 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [29] [2430/5278] eta: 2:00:22 lr: 1.5053955910614478e-05 loss: 0.0363 (0.0412) loss_seg: 0.0385 (0.0440) loss_lansim: 0.0790 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [29] [2440/5278] eta: 1:59:55 lr: 1.5051520280055934e-05 loss: 0.0370 (0.0412) loss_seg: 0.0388 (0.0440) loss_lansim: 0.0787 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [29] [2450/5278] eta: 1:59:34 lr: 1.5049084605704078e-05 loss: 0.0363 (0.0412) loss_seg: 0.0386 (0.0440) loss_lansim: 0.0790 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5481 data: 0.0025 max mem: 31671 Epoch: [29] [2460/5278] eta: 1:59:10 lr: 1.5046648887550257e-05 loss: 0.0358 (0.0412) loss_seg: 0.0388 (0.0441) loss_lansim: 0.0790 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5663 data: 0.0025 max mem: 31671 Epoch: [29] [2470/5278] eta: 1:58:45 lr: 1.504421312558579e-05 loss: 0.0363 (0.0412) loss_seg: 0.0389 (0.0441) loss_lansim: 0.0794 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5715 data: 0.0025 max mem: 31671 Epoch: [29] [2480/5278] eta: 1:58:19 lr: 1.5041777319802017e-05 loss: 0.0363 (0.0412) loss_seg: 0.0389 (0.0441) loss_lansim: 0.0790 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5690 data: 0.0026 max mem: 31671 Epoch: [29] [2490/5278] eta: 1:57:54 lr: 1.5039341470190263e-05 loss: 0.0381 (0.0412) loss_seg: 0.0407 (0.0441) loss_lansim: 0.0790 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5710 data: 0.0026 max mem: 31671 Epoch: [29] [2500/5278] eta: 1:57:29 lr: 1.5036905576741849e-05 loss: 0.0373 (0.0412) loss_seg: 0.0390 (0.0441) loss_lansim: 0.0800 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5837 data: 0.0025 max mem: 31671 Epoch: [29] [2510/5278] eta: 1:57:04 lr: 1.5034469639448106e-05 loss: 0.0377 (0.0412) loss_seg: 0.0407 (0.0440) loss_lansim: 0.0802 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5804 data: 0.0026 max mem: 31671 Epoch: [29] [2520/5278] eta: 1:56:39 lr: 1.5032033658300337e-05 loss: 0.0382 (0.0412) loss_seg: 0.0407 (0.0440) loss_lansim: 0.0796 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5806 data: 0.0026 max mem: 31671 Epoch: [29] [2530/5278] eta: 1:56:13 lr: 1.5029597633289863e-05 loss: 0.0370 (0.0412) loss_seg: 0.0405 (0.0440) loss_lansim: 0.0800 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5755 data: 0.0026 max mem: 31671 Epoch: [29] [2540/5278] eta: 1:55:47 lr: 1.5027161564407993e-05 loss: 0.0382 (0.0412) loss_seg: 0.0405 (0.0440) loss_lansim: 0.0799 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5869 data: 0.0026 max mem: 31671 Epoch: [29] [2550/5278] eta: 1:55:22 lr: 1.502472545164604e-05 loss: 0.0397 (0.0412) loss_seg: 0.0420 (0.0440) loss_lansim: 0.0802 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5557 data: 0.0026 max mem: 31671 Epoch: [29] [2560/5278] eta: 1:54:57 lr: 1.5022289294995299e-05 loss: 0.0396 (0.0412) loss_seg: 0.0412 (0.0441) loss_lansim: 0.0803 (0.0808) loss_contra: 0.0000 (0.0023) time: 2.5475 data: 0.0025 max mem: 31671 Epoch: [29] [2570/5278] eta: 1:54:32 lr: 1.5019853094447075e-05 loss: 0.0367 (0.0412) loss_seg: 0.0399 (0.0441) loss_lansim: 0.0805 (0.0808) loss_contra: 0.0000 (0.0023) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [29] [2580/5278] eta: 1:54:07 lr: 1.5017416849992663e-05 loss: 0.0366 (0.0412) loss_seg: 0.0381 (0.0440) loss_lansim: 0.0802 (0.0808) loss_contra: 0.0000 (0.0023) time: 2.5518 data: 0.0025 max mem: 31671 Epoch: [29] [2590/5278] eta: 1:53:41 lr: 1.5014980561623367e-05 loss: 0.0364 (0.0413) loss_seg: 0.0381 (0.0442) loss_lansim: 0.0824 (0.0808) loss_contra: 0.0000 (0.0023) time: 2.5496 data: 0.0025 max mem: 31671 Epoch: [29] [2600/5278] eta: 1:53:16 lr: 1.5012544229330467e-05 loss: 0.0367 (0.0413) loss_seg: 0.0391 (0.0441) loss_lansim: 0.0827 (0.0808) loss_contra: 0.0000 (0.0023) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [29] [2610/5278] eta: 1:52:52 lr: 1.5010107853105252e-05 loss: 0.0373 (0.0413) loss_seg: 0.0391 (0.0442) loss_lansim: 0.0814 (0.0808) loss_contra: 0.0000 (0.0023) time: 2.5581 data: 0.0025 max mem: 31671 Epoch: [29] [2620/5278] eta: 1:52:28 lr: 1.5007671432939008e-05 loss: 0.0377 (0.0413) loss_seg: 0.0400 (0.0442) loss_lansim: 0.0832 (0.0808) loss_contra: 0.0000 (0.0023) time: 2.5664 data: 0.0025 max mem: 31671 Epoch: [29] [2630/5278] eta: 1:52:02 lr: 1.5005234968823024e-05 loss: 0.0376 (0.0413) loss_seg: 0.0389 (0.0441) loss_lansim: 0.0845 (0.0809) loss_contra: 0.0000 (0.0023) time: 2.5702 data: 0.0025 max mem: 31671 Epoch: [29] [2640/5278] eta: 1:51:37 lr: 1.5002798460748563e-05 loss: 0.0373 (0.0413) loss_seg: 0.0381 (0.0442) loss_lansim: 0.0867 (0.0809) loss_contra: 0.0000 (0.0023) time: 2.5677 data: 0.0025 max mem: 31671 Epoch: [29] [2650/5278] eta: 1:51:11 lr: 1.5000361908706908e-05 loss: 0.0368 (0.0413) loss_seg: 0.0379 (0.0442) loss_lansim: 0.0845 (0.0809) loss_contra: 0.0000 (0.0023) time: 2.5658 data: 0.0025 max mem: 31671 Epoch: [29] [2660/5278] eta: 1:50:46 lr: 1.4997925312689327e-05 loss: 0.0355 (0.0413) loss_seg: 0.0369 (0.0442) loss_lansim: 0.0836 (0.0809) loss_contra: 0.0000 (0.0023) time: 2.5603 data: 0.0025 max mem: 31671 Epoch: [29] [2670/5278] eta: 1:50:21 lr: 1.4995488672687095e-05 loss: 0.0373 (0.0413) loss_seg: 0.0389 (0.0442) loss_lansim: 0.0837 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5627 data: 0.0025 max mem: 31671 Epoch: [29] [2680/5278] eta: 1:49:55 lr: 1.4993051988691467e-05 loss: 0.0373 (0.0413) loss_seg: 0.0406 (0.0442) loss_lansim: 0.0844 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5631 data: 0.0025 max mem: 31671 Epoch: [29] [2690/5278] eta: 1:49:31 lr: 1.4990615260693705e-05 loss: 0.0378 (0.0414) loss_seg: 0.0408 (0.0443) loss_lansim: 0.0835 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5690 data: 0.0025 max mem: 31671 Epoch: [29] [2700/5278] eta: 1:49:05 lr: 1.4988178488685072e-05 loss: 0.0375 (0.0414) loss_seg: 0.0407 (0.0443) loss_lansim: 0.0810 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5653 data: 0.0025 max mem: 31671 Epoch: [29] [2710/5278] eta: 1:48:41 lr: 1.4985741672656826e-05 loss: 0.0373 (0.0414) loss_seg: 0.0407 (0.0443) loss_lansim: 0.0826 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5637 data: 0.0025 max mem: 31671 Epoch: [29] [2720/5278] eta: 1:48:15 lr: 1.4983304812600204e-05 loss: 0.0370 (0.0413) loss_seg: 0.0393 (0.0442) loss_lansim: 0.0809 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5481 data: 0.0025 max mem: 31671 Epoch: [29] [2730/5278] eta: 1:47:50 lr: 1.4980867908506466e-05 loss: 0.0373 (0.0414) loss_seg: 0.0406 (0.0442) loss_lansim: 0.0819 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [29] [2740/5278] eta: 1:47:24 lr: 1.4978430960366851e-05 loss: 0.0378 (0.0414) loss_seg: 0.0408 (0.0443) loss_lansim: 0.0819 (0.0810) loss_contra: 0.0000 (0.0022) time: 2.5546 data: 0.0025 max mem: 31671 Epoch: [29] [2750/5278] eta: 1:46:59 lr: 1.4975993968172602e-05 loss: 0.0384 (0.0414) loss_seg: 0.0415 (0.0443) loss_lansim: 0.0819 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [29] [2760/5278] eta: 1:46:34 lr: 1.4973556931914964e-05 loss: 0.0384 (0.0414) loss_seg: 0.0415 (0.0443) loss_lansim: 0.0828 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5614 data: 0.0025 max mem: 31671 Epoch: [29] [2770/5278] eta: 1:46:09 lr: 1.4971119851585162e-05 loss: 0.0379 (0.0414) loss_seg: 0.0407 (0.0443) loss_lansim: 0.0828 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [29] [2780/5278] eta: 1:45:43 lr: 1.4968682727174424e-05 loss: 0.0369 (0.0414) loss_seg: 0.0406 (0.0443) loss_lansim: 0.0825 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [29] [2790/5278] eta: 1:45:18 lr: 1.4966245558673986e-05 loss: 0.0354 (0.0414) loss_seg: 0.0384 (0.0442) loss_lansim: 0.0825 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [29] [2800/5278] eta: 1:44:52 lr: 1.4963808346075076e-05 loss: 0.0358 (0.0414) loss_seg: 0.0387 (0.0442) loss_lansim: 0.0828 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5493 data: 0.0025 max mem: 31671 Epoch: [29] [2810/5278] eta: 1:44:27 lr: 1.4961371089368902e-05 loss: 0.0358 (0.0414) loss_seg: 0.0391 (0.0442) loss_lansim: 0.0834 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [29] [2820/5278] eta: 1:44:01 lr: 1.4958933788546695e-05 loss: 0.0371 (0.0413) loss_seg: 0.0393 (0.0442) loss_lansim: 0.0838 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5395 data: 0.0025 max mem: 31671 Epoch: [29] [2830/5278] eta: 1:43:35 lr: 1.4956496443599661e-05 loss: 0.0351 (0.0414) loss_seg: 0.0377 (0.0442) loss_lansim: 0.0838 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [29] [2840/5278] eta: 1:43:09 lr: 1.4954059054519017e-05 loss: 0.0343 (0.0413) loss_seg: 0.0375 (0.0442) loss_lansim: 0.0839 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5235 data: 0.0025 max mem: 31671 Epoch: [29] [2850/5278] eta: 1:42:43 lr: 1.4951621621295967e-05 loss: 0.0331 (0.0414) loss_seg: 0.0358 (0.0442) loss_lansim: 0.0835 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5220 data: 0.0025 max mem: 31671 Epoch: [29] [2860/5278] eta: 1:42:18 lr: 1.4949184143921713e-05 loss: 0.0342 (0.0414) loss_seg: 0.0372 (0.0443) loss_lansim: 0.0835 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5118 data: 0.0025 max mem: 31671 Epoch: [29] [2870/5278] eta: 1:41:52 lr: 1.4946746622387461e-05 loss: 0.0351 (0.0414) loss_seg: 0.0377 (0.0443) loss_lansim: 0.0825 (0.0811) loss_contra: 0.0001 (0.0025) time: 2.5070 data: 0.0025 max mem: 31671 Epoch: [29] [2880/5278] eta: 1:41:27 lr: 1.4944309056684417e-05 loss: 0.0353 (0.0414) loss_seg: 0.0377 (0.0443) loss_lansim: 0.0825 (0.0811) loss_contra: 0.0001 (0.0025) time: 2.5080 data: 0.0025 max mem: 31671 Epoch: [29] [2890/5278] eta: 1:41:01 lr: 1.4941871446803756e-05 loss: 0.0354 (0.0414) loss_seg: 0.0384 (0.0443) loss_lansim: 0.0824 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5067 data: 0.0025 max mem: 31671 Epoch: [29] [2900/5278] eta: 1:40:36 lr: 1.4939433792736682e-05 loss: 0.0356 (0.0414) loss_seg: 0.0387 (0.0443) loss_lansim: 0.0824 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5148 data: 0.0025 max mem: 31671 Epoch: [29] [2910/5278] eta: 1:40:11 lr: 1.4936996094474379e-05 loss: 0.0351 (0.0414) loss_seg: 0.0375 (0.0442) loss_lansim: 0.0814 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5220 data: 0.0024 max mem: 31671 Epoch: [29] [2920/5278] eta: 1:39:46 lr: 1.4934558352008037e-05 loss: 0.0351 (0.0414) loss_seg: 0.0374 (0.0442) loss_lansim: 0.0815 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5262 data: 0.0024 max mem: 31671 Epoch: [29] [2930/5278] eta: 1:39:20 lr: 1.493212056532883e-05 loss: 0.0353 (0.0414) loss_seg: 0.0374 (0.0442) loss_lansim: 0.0815 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5329 data: 0.0024 max mem: 31671 Epoch: [29] [2940/5278] eta: 1:38:55 lr: 1.4929682734427938e-05 loss: 0.0373 (0.0414) loss_seg: 0.0400 (0.0443) loss_lansim: 0.0806 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5366 data: 0.0024 max mem: 31671 Epoch: [29] [2950/5278] eta: 1:38:30 lr: 1.4927244859296535e-05 loss: 0.0377 (0.0414) loss_seg: 0.0406 (0.0443) loss_lansim: 0.0801 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5438 data: 0.0024 max mem: 31671 Epoch: [29] [2960/5278] eta: 1:38:04 lr: 1.4924806939925798e-05 loss: 0.0373 (0.0414) loss_seg: 0.0388 (0.0442) loss_lansim: 0.0809 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5433 data: 0.0024 max mem: 31671 Epoch: [29] [2970/5278] eta: 1:37:39 lr: 1.4922368976306886e-05 loss: 0.0364 (0.0414) loss_seg: 0.0387 (0.0442) loss_lansim: 0.0812 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5393 data: 0.0024 max mem: 31671 Epoch: [29] [2980/5278] eta: 1:37:13 lr: 1.4919930968430964e-05 loss: 0.0372 (0.0414) loss_seg: 0.0390 (0.0442) loss_lansim: 0.0818 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5436 data: 0.0023 max mem: 31671 Epoch: [29] [2990/5278] eta: 1:36:48 lr: 1.4917492916289197e-05 loss: 0.0367 (0.0414) loss_seg: 0.0392 (0.0442) loss_lansim: 0.0815 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5476 data: 0.0023 max mem: 31671 Epoch: [29] [3000/5278] eta: 1:36:22 lr: 1.4915054819872739e-05 loss: 0.0339 (0.0414) loss_seg: 0.0371 (0.0442) loss_lansim: 0.0809 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5388 data: 0.0024 max mem: 31671 Epoch: [29] [3010/5278] eta: 1:35:57 lr: 1.4912616679172756e-05 loss: 0.0367 (0.0414) loss_seg: 0.0392 (0.0442) loss_lansim: 0.0815 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5369 data: 0.0024 max mem: 31671 Epoch: [29] [3020/5278] eta: 1:35:31 lr: 1.491017849418038e-05 loss: 0.0339 (0.0413) loss_seg: 0.0373 (0.0442) loss_lansim: 0.0809 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5319 data: 0.0024 max mem: 31671 Epoch: [29] [3030/5278] eta: 1:35:07 lr: 1.4907740264886768e-05 loss: 0.0363 (0.0413) loss_seg: 0.0392 (0.0442) loss_lansim: 0.0806 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5377 data: 0.0023 max mem: 31671 Epoch: [29] [3040/5278] eta: 1:34:41 lr: 1.4905301991283065e-05 loss: 0.0353 (0.0414) loss_seg: 0.0387 (0.0443) loss_lansim: 0.0805 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5369 data: 0.0024 max mem: 31671 Epoch: [29] [3050/5278] eta: 1:34:16 lr: 1.4902863673360415e-05 loss: 0.0354 (0.0414) loss_seg: 0.0387 (0.0443) loss_lansim: 0.0803 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5400 data: 0.0024 max mem: 31671 Epoch: [29] [3060/5278] eta: 1:33:51 lr: 1.4900425311109944e-05 loss: 0.0339 (0.0414) loss_seg: 0.0373 (0.0442) loss_lansim: 0.0790 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5463 data: 0.0024 max mem: 31671 Epoch: [29] [3070/5278] eta: 1:33:25 lr: 1.4897986904522793e-05 loss: 0.0363 (0.0414) loss_seg: 0.0398 (0.0443) loss_lansim: 0.0799 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5494 data: 0.0024 max mem: 31671 Epoch: [29] [3080/5278] eta: 1:33:00 lr: 1.4895548453590092e-05 loss: 0.0354 (0.0414) loss_seg: 0.0387 (0.0443) loss_lansim: 0.0803 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5473 data: 0.0024 max mem: 31671 Epoch: [29] [3090/5278] eta: 1:32:34 lr: 1.4893109958302972e-05 loss: 0.0339 (0.0414) loss_seg: 0.0373 (0.0443) loss_lansim: 0.0799 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5381 data: 0.0024 max mem: 31671 Epoch: [29] [3100/5278] eta: 1:32:09 lr: 1.4890671418652546e-05 loss: 0.0355 (0.0414) loss_seg: 0.0391 (0.0443) loss_lansim: 0.0792 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5390 data: 0.0024 max mem: 31671 Epoch: [29] [3110/5278] eta: 1:31:43 lr: 1.4888232834629946e-05 loss: 0.0337 (0.0414) loss_seg: 0.0370 (0.0443) loss_lansim: 0.0792 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [29] [3120/5278] eta: 1:31:18 lr: 1.4885794206226277e-05 loss: 0.0345 (0.0414) loss_seg: 0.0378 (0.0443) loss_lansim: 0.0799 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5492 data: 0.0024 max mem: 31671 Epoch: [29] [3130/5278] eta: 1:30:53 lr: 1.4883355533432669e-05 loss: 0.0345 (0.0414) loss_seg: 0.0378 (0.0443) loss_lansim: 0.0793 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5372 data: 0.0025 max mem: 31671 Epoch: [29] [3140/5278] eta: 1:30:28 lr: 1.4880916816240217e-05 loss: 0.0340 (0.0414) loss_seg: 0.0373 (0.0443) loss_lansim: 0.0806 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5465 data: 0.0024 max mem: 31671 Epoch: [29] [3150/5278] eta: 1:30:02 lr: 1.4878478054640032e-05 loss: 0.0340 (0.0415) loss_seg: 0.0373 (0.0443) loss_lansim: 0.0806 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [29] [3160/5278] eta: 1:29:37 lr: 1.487603924862322e-05 loss: 0.0346 (0.0415) loss_seg: 0.0379 (0.0443) loss_lansim: 0.0809 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [29] [3170/5278] eta: 1:29:12 lr: 1.487360039818088e-05 loss: 0.0343 (0.0415) loss_seg: 0.0376 (0.0443) loss_lansim: 0.0803 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [29] [3180/5278] eta: 1:28:46 lr: 1.4871161503304107e-05 loss: 0.0340 (0.0415) loss_seg: 0.0373 (0.0444) loss_lansim: 0.0793 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5366 data: 0.0025 max mem: 31671 Epoch: [29] [3190/5278] eta: 1:28:20 lr: 1.4868722563983995e-05 loss: 0.0343 (0.0415) loss_seg: 0.0376 (0.0444) loss_lansim: 0.0803 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5361 data: 0.0025 max mem: 31671 Epoch: [29] [3200/5278] eta: 1:27:55 lr: 1.4866283580211632e-05 loss: 0.0343 (0.0415) loss_seg: 0.0376 (0.0444) loss_lansim: 0.0804 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [29] [3210/5278] eta: 1:27:30 lr: 1.4863844551978112e-05 loss: 0.0358 (0.0415) loss_seg: 0.0380 (0.0443) loss_lansim: 0.0803 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [29] [3220/5278] eta: 1:27:05 lr: 1.4861405479274506e-05 loss: 0.0368 (0.0415) loss_seg: 0.0397 (0.0444) loss_lansim: 0.0802 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [29] [3230/5278] eta: 1:26:41 lr: 1.48589663620919e-05 loss: 0.0363 (0.0415) loss_seg: 0.0397 (0.0444) loss_lansim: 0.0802 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5739 data: 0.0026 max mem: 31671 Epoch: [29] [3240/5278] eta: 1:26:16 lr: 1.485652720042137e-05 loss: 0.0382 (0.0415) loss_seg: 0.0401 (0.0444) loss_lansim: 0.0804 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5743 data: 0.0026 max mem: 31671 Epoch: [29] [3250/5278] eta: 1:25:51 lr: 1.4854087994253987e-05 loss: 0.0385 (0.0415) loss_seg: 0.0401 (0.0444) loss_lansim: 0.0812 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5743 data: 0.0026 max mem: 31671 Epoch: [29] [3260/5278] eta: 1:25:25 lr: 1.4851648743580829e-05 loss: 0.0382 (0.0415) loss_seg: 0.0406 (0.0443) loss_lansim: 0.0802 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.5794 data: 0.0025 max mem: 31671 Epoch: [29] [3270/5278] eta: 1:25:00 lr: 1.4849209448392945e-05 loss: 0.0382 (0.0415) loss_seg: 0.0406 (0.0444) loss_lansim: 0.0821 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5807 data: 0.0025 max mem: 31671 Epoch: [29] [3280/5278] eta: 1:24:35 lr: 1.484677010868141e-05 loss: 0.0372 (0.0415) loss_seg: 0.0401 (0.0443) loss_lansim: 0.0830 (0.0812) loss_contra: 0.0000 (0.0023) time: 2.5957 data: 0.0025 max mem: 31671 Epoch: [29] [3290/5278] eta: 1:24:10 lr: 1.4844330724437278e-05 loss: 0.0368 (0.0414) loss_seg: 0.0394 (0.0443) loss_lansim: 0.0824 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.6081 data: 0.0025 max mem: 31671 Epoch: [29] [3300/5278] eta: 1:23:45 lr: 1.4841891295651608e-05 loss: 0.0369 (0.0415) loss_seg: 0.0401 (0.0443) loss_lansim: 0.0830 (0.0811) loss_contra: 0.0000 (0.0024) time: 2.6066 data: 0.0025 max mem: 31671 Epoch: [29] [3310/5278] eta: 1:23:19 lr: 1.4839451822315449e-05 loss: 0.0369 (0.0414) loss_seg: 0.0401 (0.0443) loss_lansim: 0.0830 (0.0812) loss_contra: 0.0000 (0.0023) time: 2.6005 data: 0.0025 max mem: 31671 Epoch: [29] [3320/5278] eta: 1:22:54 lr: 1.4837012304419848e-05 loss: 0.0368 (0.0414) loss_seg: 0.0397 (0.0443) loss_lansim: 0.0825 (0.0812) loss_contra: 0.0000 (0.0023) time: 2.5913 data: 0.0025 max mem: 31671 Epoch: [29] [3330/5278] eta: 1:22:29 lr: 1.4834572741955854e-05 loss: 0.0367 (0.0414) loss_seg: 0.0401 (0.0443) loss_lansim: 0.0812 (0.0811) loss_contra: 0.0000 (0.0023) time: 2.5697 data: 0.0025 max mem: 31671 Epoch: [29] [3340/5278] eta: 1:22:03 lr: 1.4832133134914513e-05 loss: 0.0367 (0.0414) loss_seg: 0.0387 (0.0443) loss_lansim: 0.0809 (0.0812) loss_contra: 0.0000 (0.0023) time: 2.5542 data: 0.0025 max mem: 31671 Epoch: [29] [3350/5278] eta: 1:21:37 lr: 1.4829693483286853e-05 loss: 0.0352 (0.0414) loss_seg: 0.0369 (0.0443) loss_lansim: 0.0809 (0.0812) loss_contra: 0.0000 (0.0023) time: 2.5469 data: 0.0025 max mem: 31671 Epoch: [29] [3360/5278] eta: 1:21:12 lr: 1.4827253787063913e-05 loss: 0.0357 (0.0414) loss_seg: 0.0378 (0.0443) loss_lansim: 0.0810 (0.0812) loss_contra: 0.0000 (0.0023) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [29] [3370/5278] eta: 1:20:46 lr: 1.4824814046236724e-05 loss: 0.0349 (0.0414) loss_seg: 0.0367 (0.0442) loss_lansim: 0.0797 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [29] [3380/5278] eta: 1:20:20 lr: 1.4822374260796323e-05 loss: 0.0367 (0.0414) loss_seg: 0.0391 (0.0443) loss_lansim: 0.0797 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [29] [3390/5278] eta: 1:19:55 lr: 1.481993443073372e-05 loss: 0.0367 (0.0414) loss_seg: 0.0397 (0.0443) loss_lansim: 0.0807 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5146 data: 0.0025 max mem: 31671 Epoch: [29] [3400/5278] eta: 1:19:30 lr: 1.4817494556039944e-05 loss: 0.0367 (0.0414) loss_seg: 0.0391 (0.0443) loss_lansim: 0.0808 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5171 data: 0.0025 max mem: 31671 Epoch: [29] [3410/5278] eta: 1:19:05 lr: 1.481505463670601e-05 loss: 0.0374 (0.0414) loss_seg: 0.0402 (0.0443) loss_lansim: 0.0807 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [29] [3420/5278] eta: 1:18:39 lr: 1.4812614672722941e-05 loss: 0.0367 (0.0415) loss_seg: 0.0391 (0.0444) loss_lansim: 0.0807 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5272 data: 0.0026 max mem: 31671 Epoch: [29] [3430/5278] eta: 1:18:14 lr: 1.4810174664081733e-05 loss: 0.0374 (0.0415) loss_seg: 0.0391 (0.0444) loss_lansim: 0.0808 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5219 data: 0.0026 max mem: 31671 Epoch: [29] [3440/5278] eta: 1:17:49 lr: 1.4807734610773402e-05 loss: 0.0387 (0.0416) loss_seg: 0.0393 (0.0444) loss_lansim: 0.0811 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5424 data: 0.0025 max mem: 31671 Epoch: [29] [3450/5278] eta: 1:17:23 lr: 1.4805294512788951e-05 loss: 0.0389 (0.0416) loss_seg: 0.0395 (0.0444) loss_lansim: 0.0807 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5476 data: 0.0026 max mem: 31671 Epoch: [29] [3460/5278] eta: 1:16:58 lr: 1.4802854370119384e-05 loss: 0.0374 (0.0415) loss_seg: 0.0391 (0.0444) loss_lansim: 0.0820 (0.0812) loss_contra: 0.0000 (0.0024) time: 2.5551 data: 0.0026 max mem: 31671 Epoch: [29] [3470/5278] eta: 1:16:33 lr: 1.4800414182755693e-05 loss: 0.0389 (0.0416) loss_seg: 0.0410 (0.0445) loss_lansim: 0.0827 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [29] [3480/5278] eta: 1:16:07 lr: 1.4797973950688868e-05 loss: 0.0376 (0.0416) loss_seg: 0.0393 (0.0445) loss_lansim: 0.0822 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [29] [3490/5278] eta: 1:15:41 lr: 1.4795533673909905e-05 loss: 0.0376 (0.0416) loss_seg: 0.0409 (0.0445) loss_lansim: 0.0822 (0.0812) loss_contra: 0.0001 (0.0026) time: 2.5509 data: 0.0025 max mem: 31671 Epoch: [29] [3500/5278] eta: 1:15:16 lr: 1.4793093352409789e-05 loss: 0.0372 (0.0416) loss_seg: 0.0403 (0.0445) loss_lansim: 0.0822 (0.0812) loss_contra: 0.0001 (0.0026) time: 2.5434 data: 0.0025 max mem: 31671 Epoch: [29] [3510/5278] eta: 1:14:51 lr: 1.479065298617951e-05 loss: 0.0365 (0.0416) loss_seg: 0.0385 (0.0445) loss_lansim: 0.0823 (0.0812) loss_contra: 0.0001 (0.0026) time: 2.5451 data: 0.0025 max mem: 31671 Epoch: [29] [3520/5278] eta: 1:14:26 lr: 1.4788212575210032e-05 loss: 0.0368 (0.0416) loss_seg: 0.0397 (0.0445) loss_lansim: 0.0820 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5532 data: 0.0024 max mem: 31671 Epoch: [29] [3530/5278] eta: 1:14:01 lr: 1.4785772119492342e-05 loss: 0.0368 (0.0416) loss_seg: 0.0397 (0.0445) loss_lansim: 0.0822 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5647 data: 0.0024 max mem: 31671 Epoch: [29] [3540/5278] eta: 1:13:35 lr: 1.478333161901741e-05 loss: 0.0352 (0.0416) loss_seg: 0.0384 (0.0445) loss_lansim: 0.0817 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5504 data: 0.0025 max mem: 31671 Epoch: [29] [3550/5278] eta: 1:13:10 lr: 1.4780891073776212e-05 loss: 0.0352 (0.0416) loss_seg: 0.0384 (0.0444) loss_lansim: 0.0819 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5615 data: 0.0025 max mem: 31671 Epoch: [29] [3560/5278] eta: 1:12:45 lr: 1.47784504837597e-05 loss: 0.0368 (0.0415) loss_seg: 0.0385 (0.0444) loss_lansim: 0.0813 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [29] [3570/5278] eta: 1:12:20 lr: 1.4776009848958844e-05 loss: 0.0368 (0.0416) loss_seg: 0.0395 (0.0444) loss_lansim: 0.0808 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5611 data: 0.0025 max mem: 31671 Epoch: [29] [3580/5278] eta: 1:11:54 lr: 1.4773569169364604e-05 loss: 0.0358 (0.0415) loss_seg: 0.0384 (0.0444) loss_lansim: 0.0799 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5647 data: 0.0025 max mem: 31671 Epoch: [29] [3590/5278] eta: 1:11:29 lr: 1.4771128444967935e-05 loss: 0.0347 (0.0415) loss_seg: 0.0379 (0.0444) loss_lansim: 0.0796 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5665 data: 0.0025 max mem: 31671 Epoch: [29] [3600/5278] eta: 1:11:05 lr: 1.4768687675759784e-05 loss: 0.0346 (0.0415) loss_seg: 0.0379 (0.0444) loss_lansim: 0.0796 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.6024 data: 0.0025 max mem: 31671 Epoch: [29] [3610/5278] eta: 1:10:39 lr: 1.4766246861731104e-05 loss: 0.0364 (0.0416) loss_seg: 0.0387 (0.0445) loss_lansim: 0.0800 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5963 data: 0.0025 max mem: 31671 Epoch: [29] [3620/5278] eta: 1:10:14 lr: 1.4763806002872838e-05 loss: 0.0362 (0.0416) loss_seg: 0.0386 (0.0445) loss_lansim: 0.0813 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5901 data: 0.0025 max mem: 31671 Epoch: [29] [3630/5278] eta: 1:09:49 lr: 1.476136509917593e-05 loss: 0.0358 (0.0416) loss_seg: 0.0381 (0.0445) loss_lansim: 0.0808 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5817 data: 0.0026 max mem: 31671 Epoch: [29] [3640/5278] eta: 1:09:23 lr: 1.4758924150631312e-05 loss: 0.0362 (0.0417) loss_seg: 0.0387 (0.0446) loss_lansim: 0.0813 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5819 data: 0.0026 max mem: 31671 Epoch: [29] [3650/5278] eta: 1:08:58 lr: 1.4756483157229922e-05 loss: 0.0385 (0.0418) loss_seg: 0.0396 (0.0447) loss_lansim: 0.0815 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5699 data: 0.0026 max mem: 31671 Epoch: [29] [3660/5278] eta: 1:08:32 lr: 1.475404211896269e-05 loss: 0.0381 (0.0418) loss_seg: 0.0399 (0.0447) loss_lansim: 0.0815 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5689 data: 0.0026 max mem: 31671 Epoch: [29] [3670/5278] eta: 1:08:07 lr: 1.4751601035820548e-05 loss: 0.0370 (0.0417) loss_seg: 0.0395 (0.0446) loss_lansim: 0.0814 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5744 data: 0.0026 max mem: 31671 Epoch: [29] [3680/5278] eta: 1:07:42 lr: 1.474915990779441e-05 loss: 0.0380 (0.0417) loss_seg: 0.0399 (0.0446) loss_lansim: 0.0815 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5788 data: 0.0026 max mem: 31671 Epoch: [29] [3690/5278] eta: 1:07:16 lr: 1.4746718734875204e-05 loss: 0.0364 (0.0417) loss_seg: 0.0396 (0.0446) loss_lansim: 0.0814 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5773 data: 0.0026 max mem: 31671 Epoch: [29] [3700/5278] eta: 1:06:51 lr: 1.4744277517053842e-05 loss: 0.0366 (0.0417) loss_seg: 0.0396 (0.0446) loss_lansim: 0.0813 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5539 data: 0.0026 max mem: 31671 Epoch: [29] [3710/5278] eta: 1:06:25 lr: 1.4741836254321244e-05 loss: 0.0353 (0.0417) loss_seg: 0.0384 (0.0446) loss_lansim: 0.0807 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5446 data: 0.0026 max mem: 31671 Epoch: [29] [3720/5278] eta: 1:06:00 lr: 1.4739394946668313e-05 loss: 0.0354 (0.0417) loss_seg: 0.0387 (0.0446) loss_lansim: 0.0797 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5409 data: 0.0026 max mem: 31671 Epoch: [29] [3730/5278] eta: 1:05:34 lr: 1.4736953594085956e-05 loss: 0.0354 (0.0417) loss_seg: 0.0387 (0.0446) loss_lansim: 0.0802 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [29] [3740/5278] eta: 1:05:09 lr: 1.4734512196565078e-05 loss: 0.0368 (0.0417) loss_seg: 0.0390 (0.0447) loss_lansim: 0.0797 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5404 data: 0.0025 max mem: 31671 Epoch: [29] [3750/5278] eta: 1:04:43 lr: 1.4732070754096577e-05 loss: 0.0354 (0.0418) loss_seg: 0.0387 (0.0447) loss_lansim: 0.0797 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [29] [3760/5278] eta: 1:04:18 lr: 1.4729629266671355e-05 loss: 0.0354 (0.0417) loss_seg: 0.0380 (0.0447) loss_lansim: 0.0797 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [29] [3770/5278] eta: 1:03:53 lr: 1.4727187734280293e-05 loss: 0.0354 (0.0417) loss_seg: 0.0384 (0.0447) loss_lansim: 0.0800 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5413 data: 0.0025 max mem: 31671 Epoch: [29] [3780/5278] eta: 1:03:27 lr: 1.4724746156914284e-05 loss: 0.0354 (0.0417) loss_seg: 0.0380 (0.0446) loss_lansim: 0.0800 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5408 data: 0.0025 max mem: 31671 Epoch: [29] [3790/5278] eta: 1:03:02 lr: 1.4722304534564213e-05 loss: 0.0368 (0.0418) loss_seg: 0.0390 (0.0447) loss_lansim: 0.0817 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [29] [3800/5278] eta: 1:02:36 lr: 1.4719862867220972e-05 loss: 0.0368 (0.0417) loss_seg: 0.0387 (0.0446) loss_lansim: 0.0818 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [29] [3810/5278] eta: 1:02:11 lr: 1.4717421154875422e-05 loss: 0.0371 (0.0417) loss_seg: 0.0390 (0.0446) loss_lansim: 0.0812 (0.0812) loss_contra: 0.0001 (0.0026) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [29] [3820/5278] eta: 1:01:45 lr: 1.4714979397518444e-05 loss: 0.0371 (0.0417) loss_seg: 0.0390 (0.0446) loss_lansim: 0.0816 (0.0812) loss_contra: 0.0001 (0.0026) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [29] [3830/5278] eta: 1:01:19 lr: 1.4712537595140914e-05 loss: 0.0356 (0.0417) loss_seg: 0.0382 (0.0446) loss_lansim: 0.0809 (0.0812) loss_contra: 0.0001 (0.0026) time: 2.5253 data: 0.0025 max mem: 31671 Epoch: [29] [3840/5278] eta: 1:00:54 lr: 1.4710095747733699e-05 loss: 0.0351 (0.0417) loss_seg: 0.0380 (0.0446) loss_lansim: 0.0809 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5239 data: 0.0025 max mem: 31671 Epoch: [29] [3850/5278] eta: 1:00:29 lr: 1.4707653855287654e-05 loss: 0.0347 (0.0417) loss_seg: 0.0368 (0.0446) loss_lansim: 0.0806 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5327 data: 0.0025 max mem: 31671 Epoch: [29] [3860/5278] eta: 1:00:03 lr: 1.4705211917793644e-05 loss: 0.0343 (0.0417) loss_seg: 0.0364 (0.0446) loss_lansim: 0.0806 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5310 data: 0.0024 max mem: 31671 Epoch: [29] [3870/5278] eta: 0:59:38 lr: 1.4702769935242528e-05 loss: 0.0347 (0.0417) loss_seg: 0.0365 (0.0446) loss_lansim: 0.0806 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5269 data: 0.0024 max mem: 31671 Epoch: [29] [3880/5278] eta: 0:59:12 lr: 1.4700327907625164e-05 loss: 0.0344 (0.0417) loss_seg: 0.0365 (0.0446) loss_lansim: 0.0803 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5225 data: 0.0024 max mem: 31671 Epoch: [29] [3890/5278] eta: 0:58:47 lr: 1.469788583493239e-05 loss: 0.0341 (0.0416) loss_seg: 0.0364 (0.0446) loss_lansim: 0.0802 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5235 data: 0.0024 max mem: 31671 Epoch: [29] [3900/5278] eta: 0:58:21 lr: 1.4695443717155059e-05 loss: 0.0347 (0.0417) loss_seg: 0.0370 (0.0446) loss_lansim: 0.0796 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5229 data: 0.0025 max mem: 31671 Epoch: [29] [3910/5278] eta: 0:57:57 lr: 1.4693001554284011e-05 loss: 0.0348 (0.0417) loss_seg: 0.0374 (0.0446) loss_lansim: 0.0796 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5711 data: 0.0025 max mem: 31671 Epoch: [29] [3920/5278] eta: 0:57:32 lr: 1.4690559346310092e-05 loss: 0.0348 (0.0417) loss_seg: 0.0374 (0.0446) loss_lansim: 0.0796 (0.0812) loss_contra: 0.0000 (0.0026) time: 2.5747 data: 0.0025 max mem: 31671 Epoch: [29] [3930/5278] eta: 0:57:07 lr: 1.4688117093224127e-05 loss: 0.0357 (0.0417) loss_seg: 0.0386 (0.0446) loss_lansim: 0.0788 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5860 data: 0.0025 max mem: 31671 Epoch: [29] [3940/5278] eta: 0:56:41 lr: 1.4685674795016955e-05 loss: 0.0350 (0.0417) loss_seg: 0.0384 (0.0446) loss_lansim: 0.0776 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5902 data: 0.0025 max mem: 31671 Epoch: [29] [3950/5278] eta: 0:56:16 lr: 1.4683232451679402e-05 loss: 0.0351 (0.0417) loss_seg: 0.0384 (0.0446) loss_lansim: 0.0771 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5841 data: 0.0025 max mem: 31671 Epoch: [29] [3960/5278] eta: 0:55:51 lr: 1.46807900632023e-05 loss: 0.0357 (0.0417) loss_seg: 0.0386 (0.0446) loss_lansim: 0.0771 (0.0811) loss_contra: 0.0001 (0.0025) time: 2.5837 data: 0.0025 max mem: 31671 Epoch: [29] [3970/5278] eta: 0:55:25 lr: 1.4678347629576455e-05 loss: 0.0374 (0.0417) loss_seg: 0.0406 (0.0446) loss_lansim: 0.0774 (0.0811) loss_contra: 0.0001 (0.0025) time: 2.5800 data: 0.0025 max mem: 31671 Epoch: [29] [3980/5278] eta: 0:55:00 lr: 1.4675905150792698e-05 loss: 0.0378 (0.0417) loss_seg: 0.0413 (0.0446) loss_lansim: 0.0774 (0.0811) loss_contra: 0.0001 (0.0025) time: 2.5858 data: 0.0025 max mem: 31671 Epoch: [29] [3990/5278] eta: 0:54:34 lr: 1.4673462626841835e-05 loss: 0.0357 (0.0417) loss_seg: 0.0390 (0.0446) loss_lansim: 0.0771 (0.0811) loss_contra: 0.0001 (0.0025) time: 2.5841 data: 0.0025 max mem: 31671 Epoch: [29] [4000/5278] eta: 0:54:09 lr: 1.4671020057714686e-05 loss: 0.0356 (0.0417) loss_seg: 0.0386 (0.0446) loss_lansim: 0.0764 (0.0811) loss_contra: 0.0001 (0.0026) time: 2.5810 data: 0.0025 max mem: 31671 Epoch: [29] [4010/5278] eta: 0:53:43 lr: 1.4668577443402054e-05 loss: 0.0356 (0.0417) loss_seg: 0.0383 (0.0446) loss_lansim: 0.0764 (0.0811) loss_contra: 0.0001 (0.0026) time: 2.5403 data: 0.0025 max mem: 31671 Epoch: [29] [4020/5278] eta: 0:53:18 lr: 1.4666134783894737e-05 loss: 0.0356 (0.0416) loss_seg: 0.0383 (0.0446) loss_lansim: 0.0759 (0.0811) loss_contra: 0.0001 (0.0026) time: 2.5391 data: 0.0025 max mem: 31671 Epoch: [29] [4030/5278] eta: 0:52:52 lr: 1.4663692079183536e-05 loss: 0.0347 (0.0417) loss_seg: 0.0376 (0.0446) loss_lansim: 0.0763 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5353 data: 0.0025 max mem: 31671 Epoch: [29] [4040/5278] eta: 0:52:27 lr: 1.4661249329259252e-05 loss: 0.0341 (0.0417) loss_seg: 0.0370 (0.0446) loss_lansim: 0.0772 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [29] [4050/5278] eta: 0:52:01 lr: 1.4658806534112682e-05 loss: 0.0339 (0.0417) loss_seg: 0.0370 (0.0446) loss_lansim: 0.0772 (0.0811) loss_contra: 0.0001 (0.0026) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [29] [4060/5278] eta: 0:51:36 lr: 1.4656363693734603e-05 loss: 0.0334 (0.0416) loss_seg: 0.0357 (0.0445) loss_lansim: 0.0770 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [29] [4070/5278] eta: 0:51:10 lr: 1.4653920808115807e-05 loss: 0.0327 (0.0416) loss_seg: 0.0356 (0.0445) loss_lansim: 0.0763 (0.0811) loss_contra: 0.0000 (0.0026) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [29] [4080/5278] eta: 0:50:45 lr: 1.4651477877247077e-05 loss: 0.0334 (0.0416) loss_seg: 0.0357 (0.0445) loss_lansim: 0.0765 (0.0811) loss_contra: 0.0000 (0.0025) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [29] [4090/5278] eta: 0:50:20 lr: 1.4649034901119194e-05 loss: 0.0361 (0.0417) loss_seg: 0.0391 (0.0446) loss_lansim: 0.0765 (0.0810) loss_contra: 0.0001 (0.0025) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [29] [4100/5278] eta: 0:49:54 lr: 1.4646591879722924e-05 loss: 0.0366 (0.0417) loss_seg: 0.0397 (0.0446) loss_lansim: 0.0771 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [29] [4110/5278] eta: 0:49:29 lr: 1.464414881304904e-05 loss: 0.0369 (0.0417) loss_seg: 0.0397 (0.0446) loss_lansim: 0.0770 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5383 data: 0.0025 max mem: 31671 Epoch: [29] [4120/5278] eta: 0:49:03 lr: 1.4641705701088318e-05 loss: 0.0369 (0.0417) loss_seg: 0.0393 (0.0446) loss_lansim: 0.0771 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5399 data: 0.0025 max mem: 31671 Epoch: [29] [4130/5278] eta: 0:48:38 lr: 1.463926254383152e-05 loss: 0.0361 (0.0417) loss_seg: 0.0382 (0.0446) loss_lansim: 0.0790 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5374 data: 0.0024 max mem: 31671 Epoch: [29] [4140/5278] eta: 0:48:12 lr: 1.4636819341269397e-05 loss: 0.0374 (0.0417) loss_seg: 0.0393 (0.0447) loss_lansim: 0.0785 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5347 data: 0.0024 max mem: 31671 Epoch: [29] [4150/5278] eta: 0:47:47 lr: 1.4634376093392712e-05 loss: 0.0376 (0.0417) loss_seg: 0.0403 (0.0447) loss_lansim: 0.0785 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5397 data: 0.0024 max mem: 31671 Epoch: [29] [4160/5278] eta: 0:47:21 lr: 1.4631932800192219e-05 loss: 0.0385 (0.0417) loss_seg: 0.0412 (0.0447) loss_lansim: 0.0783 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5304 data: 0.0025 max mem: 31671 Epoch: [29] [4170/5278] eta: 0:46:56 lr: 1.4629489461658675e-05 loss: 0.0385 (0.0417) loss_seg: 0.0412 (0.0447) loss_lansim: 0.0790 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5221 data: 0.0025 max mem: 31671 Epoch: [29] [4180/5278] eta: 0:46:30 lr: 1.4627046077782808e-05 loss: 0.0381 (0.0417) loss_seg: 0.0409 (0.0446) loss_lansim: 0.0791 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [29] [4190/5278] eta: 0:46:05 lr: 1.4624602648555372e-05 loss: 0.0381 (0.0417) loss_seg: 0.0409 (0.0446) loss_lansim: 0.0791 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5257 data: 0.0025 max mem: 31671 Epoch: [29] [4200/5278] eta: 0:45:39 lr: 1.4622159173967104e-05 loss: 0.0371 (0.0417) loss_seg: 0.0391 (0.0446) loss_lansim: 0.0790 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [29] [4210/5278] eta: 0:45:14 lr: 1.4619715654008748e-05 loss: 0.0369 (0.0417) loss_seg: 0.0382 (0.0446) loss_lansim: 0.0790 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5190 data: 0.0025 max mem: 31671 Epoch: [29] [4220/5278] eta: 0:44:48 lr: 1.4617272088671019e-05 loss: 0.0372 (0.0417) loss_seg: 0.0394 (0.0446) loss_lansim: 0.0794 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5135 data: 0.0025 max mem: 31671 Epoch: [29] [4230/5278] eta: 0:44:23 lr: 1.4614828477944654e-05 loss: 0.0372 (0.0417) loss_seg: 0.0403 (0.0446) loss_lansim: 0.0791 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5081 data: 0.0025 max mem: 31671 Epoch: [29] [4240/5278] eta: 0:43:57 lr: 1.4612384821820373e-05 loss: 0.0371 (0.0417) loss_seg: 0.0394 (0.0446) loss_lansim: 0.0791 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5061 data: 0.0025 max mem: 31671 Epoch: [29] [4250/5278] eta: 0:43:32 lr: 1.4609941120288903e-05 loss: 0.0367 (0.0417) loss_seg: 0.0378 (0.0446) loss_lansim: 0.0793 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5032 data: 0.0025 max mem: 31671 Epoch: [29] [4260/5278] eta: 0:43:07 lr: 1.4607497373340965e-05 loss: 0.0357 (0.0417) loss_seg: 0.0378 (0.0446) loss_lansim: 0.0801 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [29] [4270/5278] eta: 0:42:41 lr: 1.4605053580967259e-05 loss: 0.0370 (0.0417) loss_seg: 0.0379 (0.0446) loss_lansim: 0.0802 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5142 data: 0.0025 max mem: 31671 Epoch: [29] [4280/5278] eta: 0:42:16 lr: 1.4602609743158501e-05 loss: 0.0371 (0.0417) loss_seg: 0.0394 (0.0446) loss_lansim: 0.0795 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [29] [4290/5278] eta: 0:41:50 lr: 1.4600165859905399e-05 loss: 0.0370 (0.0418) loss_seg: 0.0379 (0.0447) loss_lansim: 0.0795 (0.0810) loss_contra: 0.0000 (0.0025) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [29] [4300/5278] eta: 0:41:25 lr: 1.459772193119866e-05 loss: 0.0377 (0.0418) loss_seg: 0.0403 (0.0447) loss_lansim: 0.0801 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [29] [4310/5278] eta: 0:40:59 lr: 1.4595277957028972e-05 loss: 0.0376 (0.0418) loss_seg: 0.0403 (0.0447) loss_lansim: 0.0802 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [29] [4320/5278] eta: 0:40:34 lr: 1.4592833937387035e-05 loss: 0.0368 (0.0418) loss_seg: 0.0379 (0.0447) loss_lansim: 0.0802 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [29] [4330/5278] eta: 0:40:09 lr: 1.4590389872263543e-05 loss: 0.0368 (0.0418) loss_seg: 0.0378 (0.0447) loss_lansim: 0.0818 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5412 data: 0.0024 max mem: 31671 Epoch: [29] [4340/5278] eta: 0:39:43 lr: 1.4587945761649188e-05 loss: 0.0353 (0.0417) loss_seg: 0.0378 (0.0447) loss_lansim: 0.0818 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5399 data: 0.0024 max mem: 31671 Epoch: [29] [4350/5278] eta: 0:39:18 lr: 1.458550160553464e-05 loss: 0.0353 (0.0417) loss_seg: 0.0371 (0.0447) loss_lansim: 0.0805 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5526 data: 0.0025 max mem: 31671 Epoch: [29] [4360/5278] eta: 0:38:53 lr: 1.4583057403910593e-05 loss: 0.0339 (0.0417) loss_seg: 0.0365 (0.0446) loss_lansim: 0.0794 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5588 data: 0.0025 max mem: 31671 Epoch: [29] [4370/5278] eta: 0:38:27 lr: 1.4580613156767719e-05 loss: 0.0322 (0.0417) loss_seg: 0.0347 (0.0446) loss_lansim: 0.0792 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5648 data: 0.0025 max mem: 31671 Epoch: [29] [4380/5278] eta: 0:38:02 lr: 1.4578168864096697e-05 loss: 0.0322 (0.0417) loss_seg: 0.0347 (0.0446) loss_lansim: 0.0793 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5631 data: 0.0025 max mem: 31671 Epoch: [29] [4390/5278] eta: 0:37:37 lr: 1.457572452588819e-05 loss: 0.0327 (0.0417) loss_seg: 0.0354 (0.0446) loss_lansim: 0.0791 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5601 data: 0.0025 max mem: 31671 Epoch: [29] [4400/5278] eta: 0:37:11 lr: 1.4573280142132864e-05 loss: 0.0322 (0.0417) loss_seg: 0.0353 (0.0446) loss_lansim: 0.0782 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5667 data: 0.0025 max mem: 31671 Epoch: [29] [4410/5278] eta: 0:36:46 lr: 1.4570835712821385e-05 loss: 0.0322 (0.0417) loss_seg: 0.0353 (0.0446) loss_lansim: 0.0781 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5741 data: 0.0025 max mem: 31671 Epoch: [29] [4420/5278] eta: 0:36:21 lr: 1.4568391237944414e-05 loss: 0.0353 (0.0417) loss_seg: 0.0364 (0.0446) loss_lansim: 0.0778 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5748 data: 0.0025 max mem: 31671 Epoch: [29] [4430/5278] eta: 0:35:55 lr: 1.4565946717492602e-05 loss: 0.0360 (0.0417) loss_seg: 0.0377 (0.0446) loss_lansim: 0.0778 (0.0810) loss_contra: 0.0000 (0.0024) time: 2.5725 data: 0.0025 max mem: 31671 Epoch: [29] [4440/5278] eta: 0:35:30 lr: 1.4563502151456598e-05 loss: 0.0353 (0.0417) loss_seg: 0.0364 (0.0446) loss_lansim: 0.0778 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5729 data: 0.0025 max mem: 31671 Epoch: [29] [4450/5278] eta: 0:35:04 lr: 1.4561057539827056e-05 loss: 0.0355 (0.0416) loss_seg: 0.0385 (0.0446) loss_lansim: 0.0778 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5690 data: 0.0025 max mem: 31671 Epoch: [29] [4460/5278] eta: 0:34:39 lr: 1.4558612882594622e-05 loss: 0.0373 (0.0416) loss_seg: 0.0402 (0.0446) loss_lansim: 0.0782 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5565 data: 0.0025 max mem: 31671 Epoch: [29] [4470/5278] eta: 0:34:13 lr: 1.4556168179749926e-05 loss: 0.0373 (0.0416) loss_seg: 0.0401 (0.0446) loss_lansim: 0.0772 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5569 data: 0.0025 max mem: 31671 Epoch: [29] [4480/5278] eta: 0:33:48 lr: 1.4553723431283614e-05 loss: 0.0398 (0.0416) loss_seg: 0.0425 (0.0446) loss_lansim: 0.0772 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5595 data: 0.0026 max mem: 31671 Epoch: [29] [4490/5278] eta: 0:33:23 lr: 1.4551278637186317e-05 loss: 0.0377 (0.0416) loss_seg: 0.0402 (0.0446) loss_lansim: 0.0770 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [29] [4500/5278] eta: 0:32:57 lr: 1.4548833797448664e-05 loss: 0.0366 (0.0416) loss_seg: 0.0400 (0.0446) loss_lansim: 0.0759 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5414 data: 0.0025 max mem: 31671 Epoch: [29] [4510/5278] eta: 0:32:32 lr: 1.4546388912061285e-05 loss: 0.0373 (0.0416) loss_seg: 0.0401 (0.0446) loss_lansim: 0.0767 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5338 data: 0.0025 max mem: 31671 Epoch: [29] [4520/5278] eta: 0:32:06 lr: 1.4543943981014795e-05 loss: 0.0366 (0.0417) loss_seg: 0.0397 (0.0446) loss_lansim: 0.0759 (0.0809) loss_contra: 0.0000 (0.0024) time: 2.5299 data: 0.0025 max mem: 31671 Epoch: [29] [4530/5278] eta: 0:31:41 lr: 1.4541499004299816e-05 loss: 0.0361 (0.0416) loss_seg: 0.0390 (0.0446) loss_lansim: 0.0755 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [29] [4540/5278] eta: 0:31:15 lr: 1.4539053981906961e-05 loss: 0.0361 (0.0416) loss_seg: 0.0390 (0.0446) loss_lansim: 0.0753 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [29] [4550/5278] eta: 0:30:50 lr: 1.453660891382685e-05 loss: 0.0377 (0.0416) loss_seg: 0.0400 (0.0446) loss_lansim: 0.0742 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5552 data: 0.0025 max mem: 31671 Epoch: [29] [4560/5278] eta: 0:30:25 lr: 1.4534163800050077e-05 loss: 0.0361 (0.0416) loss_seg: 0.0372 (0.0446) loss_lansim: 0.0750 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5623 data: 0.0025 max mem: 31671 Epoch: [29] [4570/5278] eta: 0:30:00 lr: 1.4531718640567251e-05 loss: 0.0370 (0.0416) loss_seg: 0.0372 (0.0445) loss_lansim: 0.0753 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5650 data: 0.0025 max mem: 31671 Epoch: [29] [4580/5278] eta: 0:29:34 lr: 1.4529273435368978e-05 loss: 0.0361 (0.0416) loss_seg: 0.0370 (0.0446) loss_lansim: 0.0742 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5722 data: 0.0025 max mem: 31671 Epoch: [29] [4590/5278] eta: 0:29:09 lr: 1.4526828184445854e-05 loss: 0.0364 (0.0416) loss_seg: 0.0370 (0.0446) loss_lansim: 0.0749 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5793 data: 0.0025 max mem: 31671 Epoch: [29] [4600/5278] eta: 0:28:44 lr: 1.452438288778846e-05 loss: 0.0368 (0.0416) loss_seg: 0.0372 (0.0446) loss_lansim: 0.0753 (0.0808) loss_contra: 0.0000 (0.0024) time: 2.5916 data: 0.0025 max mem: 31671 Epoch: [29] [4610/5278] eta: 0:28:18 lr: 1.4521937545387393e-05 loss: 0.0350 (0.0416) loss_seg: 0.0372 (0.0446) loss_lansim: 0.0749 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5916 data: 0.0025 max mem: 31671 Epoch: [29] [4620/5278] eta: 0:27:53 lr: 1.4519492157233239e-05 loss: 0.0339 (0.0416) loss_seg: 0.0363 (0.0445) loss_lansim: 0.0749 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.6001 data: 0.0025 max mem: 31671 Epoch: [29] [4630/5278] eta: 0:27:27 lr: 1.4517046723316583e-05 loss: 0.0339 (0.0416) loss_seg: 0.0362 (0.0445) loss_lansim: 0.0748 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5886 data: 0.0025 max mem: 31671 Epoch: [29] [4640/5278] eta: 0:27:02 lr: 1.4514601243627995e-05 loss: 0.0339 (0.0416) loss_seg: 0.0362 (0.0445) loss_lansim: 0.0749 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5875 data: 0.0025 max mem: 31671 Epoch: [29] [4650/5278] eta: 0:26:36 lr: 1.4512155718158052e-05 loss: 0.0321 (0.0415) loss_seg: 0.0335 (0.0445) loss_lansim: 0.0749 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5693 data: 0.0024 max mem: 31671 Epoch: [29] [4660/5278] eta: 0:26:11 lr: 1.4509710146897324e-05 loss: 0.0322 (0.0415) loss_seg: 0.0343 (0.0445) loss_lansim: 0.0749 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5634 data: 0.0024 max mem: 31671 Epoch: [29] [4670/5278] eta: 0:25:45 lr: 1.4507264529836387e-05 loss: 0.0322 (0.0415) loss_seg: 0.0343 (0.0445) loss_lansim: 0.0749 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5536 data: 0.0024 max mem: 31671 Epoch: [29] [4680/5278] eta: 0:25:20 lr: 1.4504818866965789e-05 loss: 0.0332 (0.0415) loss_seg: 0.0361 (0.0445) loss_lansim: 0.0749 (0.0807) loss_contra: 0.0000 (0.0024) time: 2.5375 data: 0.0024 max mem: 31671 Epoch: [29] [4690/5278] eta: 0:24:54 lr: 1.4502373158276097e-05 loss: 0.0341 (0.0416) loss_seg: 0.0365 (0.0445) loss_lansim: 0.0757 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.5255 data: 0.0024 max mem: 31671 Epoch: [29] [4700/5278] eta: 0:24:29 lr: 1.4499927403757869e-05 loss: 0.0343 (0.0416) loss_seg: 0.0373 (0.0445) loss_lansim: 0.0757 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.5133 data: 0.0024 max mem: 31671 Epoch: [29] [4710/5278] eta: 0:24:04 lr: 1.4497481603401653e-05 loss: 0.0351 (0.0416) loss_seg: 0.0377 (0.0445) loss_lansim: 0.0749 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.5161 data: 0.0024 max mem: 31671 Epoch: [29] [4720/5278] eta: 0:23:38 lr: 1.4495035757198003e-05 loss: 0.0352 (0.0416) loss_seg: 0.0384 (0.0445) loss_lansim: 0.0751 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.5145 data: 0.0024 max mem: 31671 Epoch: [29] [4730/5278] eta: 0:23:13 lr: 1.4492589865137454e-05 loss: 0.0356 (0.0416) loss_seg: 0.0385 (0.0445) loss_lansim: 0.0757 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [29] [4740/5278] eta: 0:22:47 lr: 1.449014392721055e-05 loss: 0.0356 (0.0415) loss_seg: 0.0385 (0.0445) loss_lansim: 0.0757 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.5022 data: 0.0024 max mem: 31671 Epoch: [29] [4750/5278] eta: 0:22:22 lr: 1.4487697943407833e-05 loss: 0.0367 (0.0416) loss_seg: 0.0392 (0.0445) loss_lansim: 0.0759 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.4854 data: 0.0024 max mem: 31671 Epoch: [29] [4760/5278] eta: 0:21:56 lr: 1.4485251913719839e-05 loss: 0.0367 (0.0416) loss_seg: 0.0392 (0.0445) loss_lansim: 0.0759 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.4849 data: 0.0024 max mem: 31671 Epoch: [29] [4770/5278] eta: 0:21:31 lr: 1.4482805838137084e-05 loss: 0.0372 (0.0416) loss_seg: 0.0392 (0.0445) loss_lansim: 0.0760 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.4926 data: 0.0024 max mem: 31671 Epoch: [29] [4780/5278] eta: 0:21:05 lr: 1.4480359716650105e-05 loss: 0.0375 (0.0416) loss_seg: 0.0392 (0.0445) loss_lansim: 0.0760 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.4869 data: 0.0024 max mem: 31671 Epoch: [29] [4790/5278] eta: 0:20:40 lr: 1.4477913549249419e-05 loss: 0.0357 (0.0416) loss_seg: 0.0385 (0.0445) loss_lansim: 0.0757 (0.0806) loss_contra: 0.0000 (0.0024) time: 2.4913 data: 0.0024 max mem: 31671 Epoch: [29] [4800/5278] eta: 0:20:14 lr: 1.4475467335925552e-05 loss: 0.0342 (0.0415) loss_seg: 0.0373 (0.0445) loss_lansim: 0.0751 (0.0805) loss_contra: 0.0000 (0.0024) time: 2.4945 data: 0.0025 max mem: 31671 Epoch: [29] [4810/5278] eta: 0:19:49 lr: 1.4473021076669007e-05 loss: 0.0340 (0.0415) loss_seg: 0.0372 (0.0445) loss_lansim: 0.0750 (0.0805) loss_contra: 0.0000 (0.0024) time: 2.4829 data: 0.0025 max mem: 31671 Epoch: [29] [4820/5278] eta: 0:19:23 lr: 1.4470574771470302e-05 loss: 0.0340 (0.0415) loss_seg: 0.0369 (0.0445) loss_lansim: 0.0748 (0.0805) loss_contra: 0.0000 (0.0024) time: 2.4804 data: 0.0025 max mem: 31671 Epoch: [29] [4830/5278] eta: 0:18:58 lr: 1.4468128420319944e-05 loss: 0.0357 (0.0415) loss_seg: 0.0373 (0.0445) loss_lansim: 0.0748 (0.0805) loss_contra: 0.0000 (0.0024) time: 2.4870 data: 0.0025 max mem: 31671 Epoch: [29] [4840/5278] eta: 0:18:33 lr: 1.446568202320844e-05 loss: 0.0370 (0.0415) loss_seg: 0.0380 (0.0445) loss_lansim: 0.0748 (0.0805) loss_contra: 0.0000 (0.0024) time: 2.5006 data: 0.0026 max mem: 31671 Epoch: [29] [4850/5278] eta: 0:18:07 lr: 1.446323558012628e-05 loss: 0.0348 (0.0415) loss_seg: 0.0372 (0.0444) loss_lansim: 0.0747 (0.0805) loss_contra: 0.0000 (0.0024) time: 2.5113 data: 0.0025 max mem: 31671 Epoch: [29] [4860/5278] eta: 0:17:42 lr: 1.4460789091063967e-05 loss: 0.0348 (0.0416) loss_seg: 0.0373 (0.0445) loss_lansim: 0.0747 (0.0805) loss_contra: 0.0000 (0.0024) time: 2.5131 data: 0.0025 max mem: 31671 Epoch: [29] [4870/5278] eta: 0:17:16 lr: 1.4458342556011991e-05 loss: 0.0348 (0.0416) loss_seg: 0.0373 (0.0446) loss_lansim: 0.0745 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5135 data: 0.0025 max mem: 31671 Epoch: [29] [4880/5278] eta: 0:16:51 lr: 1.4455895974960844e-05 loss: 0.0343 (0.0416) loss_seg: 0.0369 (0.0446) loss_lansim: 0.0748 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5296 data: 0.0025 max mem: 31671 Epoch: [29] [4890/5278] eta: 0:16:25 lr: 1.4453449347901004e-05 loss: 0.0348 (0.0416) loss_seg: 0.0375 (0.0446) loss_lansim: 0.0748 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5352 data: 0.0025 max mem: 31671 Epoch: [29] [4900/5278] eta: 0:16:00 lr: 1.4451002674822958e-05 loss: 0.0377 (0.0416) loss_seg: 0.0387 (0.0446) loss_lansim: 0.0752 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [29] [4910/5278] eta: 0:15:35 lr: 1.4448555955717177e-05 loss: 0.0368 (0.0417) loss_seg: 0.0387 (0.0447) loss_lansim: 0.0758 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5458 data: 0.0026 max mem: 31671 Epoch: [29] [4920/5278] eta: 0:15:09 lr: 1.4446109190574148e-05 loss: 0.0375 (0.0417) loss_seg: 0.0403 (0.0447) loss_lansim: 0.0762 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [29] [4930/5278] eta: 0:14:44 lr: 1.444366237938432e-05 loss: 0.0368 (0.0417) loss_seg: 0.0382 (0.0446) loss_lansim: 0.0774 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5303 data: 0.0026 max mem: 31671 Epoch: [29] [4940/5278] eta: 0:14:18 lr: 1.4441215522138174e-05 loss: 0.0366 (0.0417) loss_seg: 0.0382 (0.0447) loss_lansim: 0.0762 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [29] [4950/5278] eta: 0:13:53 lr: 1.4438768618826165e-05 loss: 0.0369 (0.0417) loss_seg: 0.0405 (0.0446) loss_lansim: 0.0762 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [29] [4960/5278] eta: 0:13:27 lr: 1.4436321669438758e-05 loss: 0.0375 (0.0417) loss_seg: 0.0405 (0.0446) loss_lansim: 0.0770 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5287 data: 0.0025 max mem: 31671 Epoch: [29] [4970/5278] eta: 0:13:02 lr: 1.4433874673966404e-05 loss: 0.0375 (0.0417) loss_seg: 0.0405 (0.0447) loss_lansim: 0.0772 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [29] [4980/5278] eta: 0:12:37 lr: 1.4431427632399553e-05 loss: 0.0369 (0.0417) loss_seg: 0.0385 (0.0446) loss_lansim: 0.0772 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [29] [4990/5278] eta: 0:12:11 lr: 1.4428980544728649e-05 loss: 0.0370 (0.0417) loss_seg: 0.0385 (0.0447) loss_lansim: 0.0772 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5063 data: 0.0025 max mem: 31671 Epoch: [29] [5000/5278] eta: 0:11:46 lr: 1.442653341094414e-05 loss: 0.0350 (0.0417) loss_seg: 0.0374 (0.0447) loss_lansim: 0.0778 (0.0804) loss_contra: 0.0001 (0.0023) time: 2.5124 data: 0.0025 max mem: 31671 Epoch: [29] [5010/5278] eta: 0:11:20 lr: 1.4424086231036468e-05 loss: 0.0364 (0.0418) loss_seg: 0.0379 (0.0447) loss_lansim: 0.0782 (0.0804) loss_contra: 0.0001 (0.0023) time: 2.5006 data: 0.0024 max mem: 31671 Epoch: [29] [5020/5278] eta: 0:10:55 lr: 1.4421639004996062e-05 loss: 0.0364 (0.0418) loss_seg: 0.0385 (0.0447) loss_lansim: 0.0797 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.4995 data: 0.0024 max mem: 31671 Epoch: [29] [5030/5278] eta: 0:10:30 lr: 1.4419191732813356e-05 loss: 0.0370 (0.0418) loss_seg: 0.0398 (0.0447) loss_lansim: 0.0779 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5138 data: 0.0024 max mem: 31671 Epoch: [29] [5040/5278] eta: 0:10:04 lr: 1.4416744414478779e-05 loss: 0.0358 (0.0417) loss_seg: 0.0379 (0.0447) loss_lansim: 0.0782 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5085 data: 0.0024 max mem: 31671 Epoch: [29] [5050/5278] eta: 0:09:39 lr: 1.441429704998276e-05 loss: 0.0364 (0.0417) loss_seg: 0.0381 (0.0447) loss_lansim: 0.0787 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5145 data: 0.0024 max mem: 31671 Epoch: [29] [5060/5278] eta: 0:09:13 lr: 1.4411849639315709e-05 loss: 0.0358 (0.0417) loss_seg: 0.0381 (0.0447) loss_lansim: 0.0787 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5240 data: 0.0024 max mem: 31671 Epoch: [29] [5070/5278] eta: 0:08:48 lr: 1.440940218246805e-05 loss: 0.0346 (0.0417) loss_seg: 0.0365 (0.0446) loss_lansim: 0.0784 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5436 data: 0.0024 max mem: 31671 Epoch: [29] [5080/5278] eta: 0:08:23 lr: 1.4406954679430191e-05 loss: 0.0353 (0.0417) loss_seg: 0.0379 (0.0446) loss_lansim: 0.0782 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5519 data: 0.0024 max mem: 31671 Epoch: [29] [5090/5278] eta: 0:07:57 lr: 1.4404507130192552e-05 loss: 0.0347 (0.0417) loss_seg: 0.0366 (0.0446) loss_lansim: 0.0784 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5755 data: 0.0025 max mem: 31671 Epoch: [29] [5100/5278] eta: 0:07:32 lr: 1.4402059534745523e-05 loss: 0.0358 (0.0417) loss_seg: 0.0379 (0.0446) loss_lansim: 0.0778 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5737 data: 0.0025 max mem: 31671 Epoch: [29] [5110/5278] eta: 0:07:06 lr: 1.4399611893079517e-05 loss: 0.0353 (0.0417) loss_seg: 0.0366 (0.0446) loss_lansim: 0.0773 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5789 data: 0.0025 max mem: 31671 Epoch: [29] [5120/5278] eta: 0:06:41 lr: 1.4397164205184924e-05 loss: 0.0346 (0.0417) loss_seg: 0.0363 (0.0446) loss_lansim: 0.0772 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5750 data: 0.0025 max mem: 31671 Epoch: [29] [5130/5278] eta: 0:06:16 lr: 1.4394716471052149e-05 loss: 0.0345 (0.0417) loss_seg: 0.0363 (0.0446) loss_lansim: 0.0772 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5757 data: 0.0024 max mem: 31671 Epoch: [29] [5140/5278] eta: 0:05:50 lr: 1.439226869067157e-05 loss: 0.0364 (0.0417) loss_seg: 0.0390 (0.0446) loss_lansim: 0.0772 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5837 data: 0.0025 max mem: 31671 Epoch: [29] [5150/5278] eta: 0:05:25 lr: 1.4389820864033577e-05 loss: 0.0356 (0.0417) loss_seg: 0.0381 (0.0446) loss_lansim: 0.0760 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5825 data: 0.0025 max mem: 31671 Epoch: [29] [5160/5278] eta: 0:04:59 lr: 1.4387372991128553e-05 loss: 0.0364 (0.0417) loss_seg: 0.0390 (0.0446) loss_lansim: 0.0754 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5612 data: 0.0025 max mem: 31671 Epoch: [29] [5170/5278] eta: 0:04:34 lr: 1.4384925071946884e-05 loss: 0.0369 (0.0418) loss_seg: 0.0401 (0.0447) loss_lansim: 0.0761 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5444 data: 0.0024 max mem: 31671 Epoch: [29] [5180/5278] eta: 0:04:09 lr: 1.4382477106478932e-05 loss: 0.0378 (0.0418) loss_seg: 0.0405 (0.0447) loss_lansim: 0.0764 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [29] [5190/5278] eta: 0:03:43 lr: 1.4380029094715069e-05 loss: 0.0376 (0.0418) loss_seg: 0.0405 (0.0447) loss_lansim: 0.0760 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5127 data: 0.0024 max mem: 31671 Epoch: [29] [5200/5278] eta: 0:03:18 lr: 1.4377581036645673e-05 loss: 0.0375 (0.0418) loss_seg: 0.0402 (0.0447) loss_lansim: 0.0771 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5136 data: 0.0024 max mem: 31671 Epoch: [29] [5210/5278] eta: 0:02:52 lr: 1.4375132932261099e-05 loss: 0.0378 (0.0419) loss_seg: 0.0411 (0.0448) loss_lansim: 0.0771 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5100 data: 0.0024 max mem: 31671 Epoch: [29] [5220/5278] eta: 0:02:27 lr: 1.4372684781551715e-05 loss: 0.0387 (0.0419) loss_seg: 0.0422 (0.0448) loss_lansim: 0.0772 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5132 data: 0.0025 max mem: 31671 Epoch: [29] [5230/5278] eta: 0:02:01 lr: 1.4370236584507866e-05 loss: 0.0383 (0.0419) loss_seg: 0.0415 (0.0448) loss_lansim: 0.0772 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5181 data: 0.0025 max mem: 31671 Epoch: [29] [5240/5278] eta: 0:01:36 lr: 1.4367788341119906e-05 loss: 0.0371 (0.0418) loss_seg: 0.0393 (0.0448) loss_lansim: 0.0772 (0.0803) loss_contra: 0.0000 (0.0023) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [29] [5250/5278] eta: 0:01:11 lr: 1.4365340051378185e-05 loss: 0.0358 (0.0418) loss_seg: 0.0391 (0.0448) loss_lansim: 0.0783 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5265 data: 0.0025 max mem: 31671 Epoch: [29] [5260/5278] eta: 0:00:45 lr: 1.4362891715273055e-05 loss: 0.0356 (0.0418) loss_seg: 0.0386 (0.0448) loss_lansim: 0.0783 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [29] [5270/5278] eta: 0:00:20 lr: 1.436044333279484e-05 loss: 0.0358 (0.0419) loss_seg: 0.0391 (0.0448) loss_lansim: 0.0773 (0.0803) loss_contra: 0.0000 (0.0023) time: 2.5539 data: 0.0025 max mem: 31671 Epoch: [29] Total time: 3:43:32 Test: [ 0/2573] eta: 1:43:12 time: 2.4069 data: 2.1476 max mem: 31671 Test: [ 100/2573] eta: 0:06:49 time: 0.1430 data: 0.0017 max mem: 31671 Test: [ 200/2573] eta: 0:06:12 time: 0.1485 data: 0.0019 max mem: 31671 Test: [ 300/2573] eta: 0:05:46 time: 0.1438 data: 0.0017 max mem: 31671 Test: [ 400/2573] eta: 0:05:27 time: 0.1443 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:10 time: 0.1463 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:54 time: 0.1483 data: 0.0015 max mem: 31671 Test: [ 700/2573] eta: 0:04:40 time: 0.1508 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:25 time: 0.1484 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:09 time: 0.1481 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:54 time: 0.1455 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:39 time: 0.1460 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:24 time: 0.1489 data: 0.0014 max mem: 31671 Test: [1300/2573] eta: 0:03:09 time: 0.1471 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:53 time: 0.1427 data: 0.0014 max mem: 31671 Test: [1500/2573] eta: 0:02:38 time: 0.1471 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:23 time: 0.1460 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:09 time: 0.1467 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1439 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1410 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1434 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1474 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1415 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1467 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1550 data: 0.0017 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1559 data: 0.0017 max mem: 31671 Test: Total time: 0:06:19 Final results: precision@0.5 = 70.00 precision@0.6 = 65.73 precision@0.7 = 59.25 precision@0.8 = 48.55 precision@0.9 = 24.57 overall IoU = 59.30 mean IoU = 62.16 Average object IoU 0.6215867120111442 Overall IoU 59.296565240006124 Epoch: [30] [ 0/5278] eta: 10:01:43 lr: 1.4358484593417166e-05 loss: 0.0291 (0.0291) loss_seg: 0.0283 (0.0283) loss_lansim: 0.0775 (0.0775) loss_contra: 0.0000 (0.0000) time: 6.8404 data: 1.4171 max mem: 31671 Epoch: [30] [ 10/5278] eta: 4:15:42 lr: 1.4356036127443059e-05 loss: 0.0368 (0.0460) loss_seg: 0.0403 (0.0482) loss_lansim: 0.0812 (0.0812) loss_contra: 0.0001 (0.0162) time: 2.9123 data: 0.1298 max mem: 31671 Epoch: [30] [ 20/5278] eta: 4:00:56 lr: 1.4353587615068811e-05 loss: 0.0352 (0.0402) loss_seg: 0.0369 (0.0428) loss_lansim: 0.0790 (0.0786) loss_contra: 0.0001 (0.0151) time: 2.7494 data: 0.0688 max mem: 31671 Epoch: [30] [ 30/5278] eta: 3:53:22 lr: 1.4351139056284745e-05 loss: 0.0331 (0.0378) loss_seg: 0.0345 (0.0405) loss_lansim: 0.0776 (0.0784) loss_contra: 0.0001 (0.0103) time: 2.6682 data: 0.0474 max mem: 31671 Epoch: [30] [ 40/5278] eta: 3:50:28 lr: 1.4348690451081187e-05 loss: 0.0352 (0.0383) loss_seg: 0.0365 (0.0411) loss_lansim: 0.0793 (0.0793) loss_contra: 0.0001 (0.0080) time: 2.6401 data: 0.0364 max mem: 31671 Epoch: [30] [ 50/5278] eta: 3:48:09 lr: 1.4346241799448446e-05 loss: 0.0352 (0.0380) loss_seg: 0.0364 (0.0408) loss_lansim: 0.0790 (0.0787) loss_contra: 0.0000 (0.0073) time: 2.6184 data: 0.0298 max mem: 31671 Epoch: [30] [ 60/5278] eta: 3:48:18 lr: 1.434379310137684e-05 loss: 0.0337 (0.0375) loss_seg: 0.0365 (0.0403) loss_lansim: 0.0776 (0.0782) loss_contra: 0.0000 (0.0061) time: 2.6252 data: 0.0253 max mem: 31671 Epoch: [30] [ 70/5278] eta: 3:46:41 lr: 1.4341344356856681e-05 loss: 0.0337 (0.0375) loss_seg: 0.0365 (0.0402) loss_lansim: 0.0777 (0.0786) loss_contra: 0.0001 (0.0097) time: 2.6116 data: 0.0221 max mem: 31671 Epoch: [30] [ 80/5278] eta: 3:45:27 lr: 1.4338895565878279e-05 loss: 0.0344 (0.0383) loss_seg: 0.0365 (0.0410) loss_lansim: 0.0793 (0.0791) loss_contra: 0.0001 (0.0086) time: 2.6025 data: 0.0197 max mem: 31671 Epoch: [30] [ 90/5278] eta: 3:44:13 lr: 1.4336446728431929e-05 loss: 0.0351 (0.0390) loss_seg: 0.0370 (0.0419) loss_lansim: 0.0793 (0.0794) loss_contra: 0.0001 (0.0077) time: 2.5932 data: 0.0178 max mem: 31671 Epoch: [30] [ 100/5278] eta: 3:44:40 lr: 1.4333997844507932e-05 loss: 0.0351 (0.0392) loss_seg: 0.0371 (0.0421) loss_lansim: 0.0793 (0.0791) loss_contra: 0.0001 (0.0070) time: 2.5611 data: 0.0023 max mem: 31671 Epoch: [30] [ 110/5278] eta: 3:43:21 lr: 1.4331548914096582e-05 loss: 0.0344 (0.0392) loss_seg: 0.0370 (0.0421) loss_lansim: 0.0800 (0.0800) loss_contra: 0.0001 (0.0064) time: 2.5581 data: 0.0024 max mem: 31671 Epoch: [30] [ 120/5278] eta: 3:42:56 lr: 1.4329099937188178e-05 loss: 0.0339 (0.0388) loss_seg: 0.0370 (0.0416) loss_lansim: 0.0815 (0.0807) loss_contra: 0.0000 (0.0059) time: 2.5605 data: 0.0025 max mem: 31671 Epoch: [30] [ 130/5278] eta: 3:42:29 lr: 1.4326650913772995e-05 loss: 0.0351 (0.0386) loss_seg: 0.0371 (0.0415) loss_lansim: 0.0811 (0.0802) loss_contra: 0.0000 (0.0055) time: 2.5698 data: 0.0025 max mem: 31671 Epoch: [30] [ 140/5278] eta: 3:42:01 lr: 1.4324201843841322e-05 loss: 0.0339 (0.0383) loss_seg: 0.0370 (0.0411) loss_lansim: 0.0796 (0.0802) loss_contra: 0.0000 (0.0051) time: 2.5734 data: 0.0025 max mem: 31671 Epoch: [30] [ 150/5278] eta: 3:41:09 lr: 1.4321752727383439e-05 loss: 0.0339 (0.0380) loss_seg: 0.0370 (0.0407) loss_lansim: 0.0796 (0.0801) loss_contra: 0.0001 (0.0048) time: 2.5720 data: 0.0025 max mem: 31671 Epoch: [30] [ 160/5278] eta: 3:40:13 lr: 1.4319303564389625e-05 loss: 0.0344 (0.0389) loss_seg: 0.0370 (0.0418) loss_lansim: 0.0796 (0.0799) loss_contra: 0.0001 (0.0046) time: 2.5552 data: 0.0025 max mem: 31671 Epoch: [30] [ 170/5278] eta: 3:39:45 lr: 1.4316854354850143e-05 loss: 0.0351 (0.0391) loss_seg: 0.0371 (0.0419) loss_lansim: 0.0787 (0.0796) loss_contra: 0.0000 (0.0043) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [30] [ 180/5278] eta: 3:39:05 lr: 1.4314405098755263e-05 loss: 0.0339 (0.0387) loss_seg: 0.0365 (0.0415) loss_lansim: 0.0785 (0.0800) loss_contra: 0.0000 (0.0044) time: 2.5592 data: 0.0025 max mem: 31671 Epoch: [30] [ 190/5278] eta: 3:38:25 lr: 1.4311955796095252e-05 loss: 0.0333 (0.0386) loss_seg: 0.0353 (0.0415) loss_lansim: 0.0791 (0.0801) loss_contra: 0.0000 (0.0042) time: 2.5598 data: 0.0025 max mem: 31671 Epoch: [30] [ 200/5278] eta: 3:37:47 lr: 1.4309506446860374e-05 loss: 0.0329 (0.0385) loss_seg: 0.0349 (0.0414) loss_lansim: 0.0787 (0.0800) loss_contra: 0.0000 (0.0040) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [30] [ 210/5278] eta: 3:37:17 lr: 1.4307057051040874e-05 loss: 0.0323 (0.0387) loss_seg: 0.0347 (0.0416) loss_lansim: 0.0783 (0.0800) loss_contra: 0.0000 (0.0039) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [30] [ 220/5278] eta: 3:36:50 lr: 1.4304607608627011e-05 loss: 0.0320 (0.0383) loss_seg: 0.0338 (0.0411) loss_lansim: 0.0780 (0.0800) loss_contra: 0.0000 (0.0037) time: 2.5468 data: 0.0025 max mem: 31671 Epoch: [30] [ 230/5278] eta: 3:36:06 lr: 1.430215811960903e-05 loss: 0.0319 (0.0381) loss_seg: 0.0338 (0.0409) loss_lansim: 0.0783 (0.0801) loss_contra: 0.0000 (0.0036) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [30] [ 240/5278] eta: 3:35:24 lr: 1.4299708583977179e-05 loss: 0.0334 (0.0385) loss_seg: 0.0363 (0.0413) loss_lansim: 0.0780 (0.0801) loss_contra: 0.0000 (0.0034) time: 2.5269 data: 0.0025 max mem: 31671 Epoch: [30] [ 250/5278] eta: 3:34:53 lr: 1.42972590017217e-05 loss: 0.0339 (0.0384) loss_seg: 0.0371 (0.0413) loss_lansim: 0.0780 (0.0800) loss_contra: 0.0000 (0.0033) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [30] [ 260/5278] eta: 3:34:40 lr: 1.4294809372832824e-05 loss: 0.0336 (0.0384) loss_seg: 0.0369 (0.0413) loss_lansim: 0.0777 (0.0798) loss_contra: 0.0000 (0.0032) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [30] [ 270/5278] eta: 3:34:00 lr: 1.4292359697300783e-05 loss: 0.0334 (0.0383) loss_seg: 0.0365 (0.0412) loss_lansim: 0.0786 (0.0799) loss_contra: 0.0000 (0.0031) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [30] [ 280/5278] eta: 3:33:32 lr: 1.428990997511581e-05 loss: 0.0339 (0.0388) loss_seg: 0.0373 (0.0417) loss_lansim: 0.0786 (0.0799) loss_contra: 0.0000 (0.0030) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [30] [ 290/5278] eta: 3:32:56 lr: 1.4287460206268132e-05 loss: 0.0341 (0.0389) loss_seg: 0.0375 (0.0418) loss_lansim: 0.0780 (0.0798) loss_contra: 0.0000 (0.0029) time: 2.5340 data: 0.0025 max mem: 31671 Epoch: [30] [ 300/5278] eta: 3:32:21 lr: 1.4285010390747966e-05 loss: 0.0341 (0.0391) loss_seg: 0.0375 (0.0420) loss_lansim: 0.0786 (0.0798) loss_contra: 0.0000 (0.0028) time: 2.5314 data: 0.0024 max mem: 31671 Epoch: [30] [ 310/5278] eta: 3:31:53 lr: 1.4282560528545525e-05 loss: 0.0351 (0.0390) loss_seg: 0.0385 (0.0419) loss_lansim: 0.0786 (0.0800) loss_contra: 0.0000 (0.0027) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [30] [ 320/5278] eta: 3:31:18 lr: 1.4280110619651027e-05 loss: 0.0363 (0.0392) loss_seg: 0.0393 (0.0421) loss_lansim: 0.0787 (0.0801) loss_contra: 0.0000 (0.0027) time: 2.5238 data: 0.0025 max mem: 31671 Epoch: [30] [ 330/5278] eta: 3:30:48 lr: 1.427766066405469e-05 loss: 0.0379 (0.0390) loss_seg: 0.0402 (0.0419) loss_lansim: 0.0787 (0.0801) loss_contra: 0.0000 (0.0027) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [30] [ 340/5278] eta: 3:30:13 lr: 1.4275210661746698e-05 loss: 0.0358 (0.0397) loss_seg: 0.0390 (0.0425) loss_lansim: 0.0787 (0.0801) loss_contra: 0.0000 (0.0026) time: 2.5278 data: 0.0024 max mem: 31671 Epoch: [30] [ 350/5278] eta: 3:29:44 lr: 1.427276061271727e-05 loss: 0.0363 (0.0398) loss_seg: 0.0393 (0.0426) loss_lansim: 0.0794 (0.0802) loss_contra: 0.0000 (0.0025) time: 2.5268 data: 0.0024 max mem: 31671 Epoch: [30] [ 360/5278] eta: 3:29:16 lr: 1.4270310516956595e-05 loss: 0.0351 (0.0397) loss_seg: 0.0383 (0.0425) loss_lansim: 0.0797 (0.0803) loss_contra: 0.0000 (0.0025) time: 2.5178 data: 0.0024 max mem: 31671 Epoch: [30] [ 370/5278] eta: 3:28:46 lr: 1.4267860374454875e-05 loss: 0.0353 (0.0396) loss_seg: 0.0385 (0.0423) loss_lansim: 0.0797 (0.0803) loss_contra: 0.0000 (0.0024) time: 2.5206 data: 0.0024 max mem: 31671 Epoch: [30] [ 380/5278] eta: 3:28:25 lr: 1.4265410185202288e-05 loss: 0.0348 (0.0397) loss_seg: 0.0373 (0.0425) loss_lansim: 0.0797 (0.0802) loss_contra: 0.0000 (0.0024) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [30] [ 390/5278] eta: 3:27:53 lr: 1.4262959949189026e-05 loss: 0.0340 (0.0397) loss_seg: 0.0370 (0.0425) loss_lansim: 0.0800 (0.0803) loss_contra: 0.0000 (0.0023) time: 2.5244 data: 0.0025 max mem: 31671 Epoch: [30] [ 400/5278] eta: 3:27:23 lr: 1.426050966640527e-05 loss: 0.0336 (0.0396) loss_seg: 0.0364 (0.0424) loss_lansim: 0.0806 (0.0804) loss_contra: 0.0000 (0.0033) time: 2.5252 data: 0.0025 max mem: 31671 Epoch: [30] [ 410/5278] eta: 3:27:03 lr: 1.4258059336841204e-05 loss: 0.0331 (0.0394) loss_seg: 0.0362 (0.0423) loss_lansim: 0.0797 (0.0803) loss_contra: 0.0000 (0.0033) time: 2.5302 data: 0.0024 max mem: 31671 Epoch: [30] [ 420/5278] eta: 3:26:36 lr: 1.4255608960486988e-05 loss: 0.0331 (0.0395) loss_seg: 0.0360 (0.0423) loss_lansim: 0.0797 (0.0802) loss_contra: 0.0000 (0.0033) time: 2.5349 data: 0.0025 max mem: 31671 Epoch: [30] [ 430/5278] eta: 3:26:06 lr: 1.4253158537332797e-05 loss: 0.0331 (0.0394) loss_seg: 0.0360 (0.0423) loss_lansim: 0.0804 (0.0803) loss_contra: 0.0000 (0.0032) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [30] [ 440/5278] eta: 3:25:33 lr: 1.4250708067368804e-05 loss: 0.0331 (0.0395) loss_seg: 0.0351 (0.0423) loss_lansim: 0.0800 (0.0802) loss_contra: 0.0000 (0.0032) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [30] [ 450/5278] eta: 3:24:55 lr: 1.424825755058517e-05 loss: 0.0329 (0.0394) loss_seg: 0.0343 (0.0423) loss_lansim: 0.0800 (0.0801) loss_contra: 0.0001 (0.0031) time: 2.5228 data: 0.0024 max mem: 31671 Epoch: [30] [ 460/5278] eta: 3:24:21 lr: 1.4245806986972043e-05 loss: 0.0331 (0.0393) loss_seg: 0.0343 (0.0421) loss_lansim: 0.0800 (0.0800) loss_contra: 0.0000 (0.0031) time: 2.5147 data: 0.0024 max mem: 31671 Epoch: [30] [ 470/5278] eta: 3:23:54 lr: 1.4243356376519584e-05 loss: 0.0334 (0.0394) loss_seg: 0.0360 (0.0423) loss_lansim: 0.0774 (0.0798) loss_contra: 0.0000 (0.0031) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [30] [ 480/5278] eta: 3:23:25 lr: 1.4240905719217942e-05 loss: 0.0343 (0.0395) loss_seg: 0.0364 (0.0424) loss_lansim: 0.0774 (0.0798) loss_contra: 0.0001 (0.0030) time: 2.5081 data: 0.0024 max mem: 31671 Epoch: [30] [ 490/5278] eta: 3:22:56 lr: 1.4238455015057264e-05 loss: 0.0343 (0.0395) loss_seg: 0.0360 (0.0423) loss_lansim: 0.0761 (0.0799) loss_contra: 0.0001 (0.0032) time: 2.5084 data: 0.0025 max mem: 31671 Epoch: [30] [ 500/5278] eta: 3:22:37 lr: 1.4236004264027696e-05 loss: 0.0359 (0.0397) loss_seg: 0.0383 (0.0426) loss_lansim: 0.0760 (0.0799) loss_contra: 0.0001 (0.0031) time: 2.5182 data: 0.0025 max mem: 31671 Epoch: [30] [ 510/5278] eta: 3:22:18 lr: 1.4233553466119368e-05 loss: 0.0366 (0.0399) loss_seg: 0.0393 (0.0428) loss_lansim: 0.0760 (0.0798) loss_contra: 0.0001 (0.0031) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [30] [ 520/5278] eta: 3:21:55 lr: 1.4231102621322418e-05 loss: 0.0363 (0.0398) loss_seg: 0.0390 (0.0427) loss_lansim: 0.0760 (0.0798) loss_contra: 0.0001 (0.0030) time: 2.5233 data: 0.0025 max mem: 31671 Epoch: [30] [ 530/5278] eta: 3:21:28 lr: 1.4228651729626977e-05 loss: 0.0356 (0.0396) loss_seg: 0.0372 (0.0425) loss_lansim: 0.0759 (0.0798) loss_contra: 0.0001 (0.0030) time: 2.5246 data: 0.0026 max mem: 31671 Epoch: [30] [ 540/5278] eta: 3:21:04 lr: 1.4226200791023176e-05 loss: 0.0351 (0.0395) loss_seg: 0.0363 (0.0424) loss_lansim: 0.0759 (0.0798) loss_contra: 0.0001 (0.0030) time: 2.5337 data: 0.0026 max mem: 31671 Epoch: [30] [ 550/5278] eta: 3:20:42 lr: 1.4223749805501128e-05 loss: 0.0340 (0.0394) loss_seg: 0.0356 (0.0423) loss_lansim: 0.0756 (0.0798) loss_contra: 0.0000 (0.0029) time: 2.5484 data: 0.0026 max mem: 31671 Epoch: [30] [ 560/5278] eta: 3:20:16 lr: 1.4221298773050953e-05 loss: 0.0346 (0.0395) loss_seg: 0.0363 (0.0424) loss_lansim: 0.0756 (0.0797) loss_contra: 0.0001 (0.0029) time: 2.5570 data: 0.0026 max mem: 31671 Epoch: [30] [ 570/5278] eta: 3:19:54 lr: 1.4218847693662767e-05 loss: 0.0339 (0.0394) loss_seg: 0.0356 (0.0424) loss_lansim: 0.0762 (0.0797) loss_contra: 0.0000 (0.0028) time: 2.5620 data: 0.0026 max mem: 31671 Epoch: [30] [ 580/5278] eta: 3:19:23 lr: 1.4216396567326692e-05 loss: 0.0324 (0.0393) loss_seg: 0.0343 (0.0422) loss_lansim: 0.0768 (0.0797) loss_contra: 0.0000 (0.0028) time: 2.5597 data: 0.0026 max mem: 31671 Epoch: [30] [ 590/5278] eta: 3:18:57 lr: 1.4213945394032816e-05 loss: 0.0331 (0.0393) loss_seg: 0.0355 (0.0422) loss_lansim: 0.0768 (0.0797) loss_contra: 0.0000 (0.0030) time: 2.5628 data: 0.0025 max mem: 31671 Epoch: [30] [ 600/5278] eta: 3:18:27 lr: 1.421149417377125e-05 loss: 0.0340 (0.0397) loss_seg: 0.0364 (0.0426) loss_lansim: 0.0764 (0.0796) loss_contra: 0.0000 (0.0030) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [30] [ 610/5278] eta: 3:17:56 lr: 1.4209042906532091e-05 loss: 0.0340 (0.0397) loss_seg: 0.0364 (0.0426) loss_lansim: 0.0749 (0.0794) loss_contra: 0.0000 (0.0029) time: 2.5359 data: 0.0025 max mem: 31671 Epoch: [30] [ 620/5278] eta: 3:17:32 lr: 1.4206591592305443e-05 loss: 0.0343 (0.0396) loss_seg: 0.0364 (0.0425) loss_lansim: 0.0764 (0.0794) loss_contra: 0.0001 (0.0029) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [30] [ 630/5278] eta: 3:17:02 lr: 1.420414023108138e-05 loss: 0.0346 (0.0395) loss_seg: 0.0375 (0.0424) loss_lansim: 0.0764 (0.0795) loss_contra: 0.0000 (0.0028) time: 2.5311 data: 0.0024 max mem: 31671 Epoch: [30] [ 640/5278] eta: 3:16:37 lr: 1.4201688822849998e-05 loss: 0.0343 (0.0394) loss_seg: 0.0373 (0.0423) loss_lansim: 0.0757 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.5283 data: 0.0024 max mem: 31671 Epoch: [30] [ 650/5278] eta: 3:16:12 lr: 1.4199237367601378e-05 loss: 0.0332 (0.0393) loss_seg: 0.0364 (0.0422) loss_lansim: 0.0764 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.5257 data: 0.0024 max mem: 31671 Epoch: [30] [ 660/5278] eta: 3:15:48 lr: 1.4196785865325605e-05 loss: 0.0329 (0.0393) loss_seg: 0.0362 (0.0421) loss_lansim: 0.0762 (0.0793) loss_contra: 0.0000 (0.0028) time: 2.5277 data: 0.0024 max mem: 31671 Epoch: [30] [ 670/5278] eta: 3:15:18 lr: 1.4194334316012741e-05 loss: 0.0327 (0.0392) loss_seg: 0.0359 (0.0421) loss_lansim: 0.0765 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.5179 data: 0.0024 max mem: 31671 Epoch: [30] [ 680/5278] eta: 3:14:48 lr: 1.4191882719652863e-05 loss: 0.0327 (0.0391) loss_seg: 0.0359 (0.0419) loss_lansim: 0.0764 (0.0794) loss_contra: 0.0001 (0.0028) time: 2.5158 data: 0.0024 max mem: 31671 Epoch: [30] [ 690/5278] eta: 3:14:22 lr: 1.418943107623604e-05 loss: 0.0325 (0.0390) loss_seg: 0.0348 (0.0418) loss_lansim: 0.0762 (0.0793) loss_contra: 0.0000 (0.0028) time: 2.5158 data: 0.0024 max mem: 31671 Epoch: [30] [ 700/5278] eta: 3:14:02 lr: 1.4186979385752335e-05 loss: 0.0313 (0.0390) loss_seg: 0.0340 (0.0418) loss_lansim: 0.0770 (0.0794) loss_contra: 0.0000 (0.0028) time: 2.5284 data: 0.0024 max mem: 31671 Epoch: [30] [ 710/5278] eta: 3:13:37 lr: 1.4184527648191797e-05 loss: 0.0318 (0.0389) loss_seg: 0.0346 (0.0418) loss_lansim: 0.0779 (0.0794) loss_contra: 0.0000 (0.0027) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [30] [ 720/5278] eta: 3:13:10 lr: 1.4182075863544488e-05 loss: 0.0325 (0.0390) loss_seg: 0.0355 (0.0418) loss_lansim: 0.0779 (0.0794) loss_contra: 0.0000 (0.0027) time: 2.5320 data: 0.0024 max mem: 31671 Epoch: [30] [ 730/5278] eta: 3:12:46 lr: 1.4179624031800462e-05 loss: 0.0327 (0.0389) loss_seg: 0.0356 (0.0417) loss_lansim: 0.0775 (0.0794) loss_contra: 0.0000 (0.0027) time: 2.5410 data: 0.0025 max mem: 31671 Epoch: [30] [ 740/5278] eta: 3:12:19 lr: 1.4177172152949758e-05 loss: 0.0329 (0.0388) loss_seg: 0.0360 (0.0416) loss_lansim: 0.0778 (0.0794) loss_contra: 0.0000 (0.0026) time: 2.5377 data: 0.0024 max mem: 31671 Epoch: [30] [ 750/5278] eta: 3:11:50 lr: 1.4174720226982427e-05 loss: 0.0334 (0.0388) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0778 (0.0794) loss_contra: 0.0000 (0.0026) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [30] [ 760/5278] eta: 3:11:26 lr: 1.4172268253888496e-05 loss: 0.0339 (0.0390) loss_seg: 0.0368 (0.0418) loss_lansim: 0.0783 (0.0793) loss_contra: 0.0000 (0.0026) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [30] [ 770/5278] eta: 3:11:03 lr: 1.4169816233658006e-05 loss: 0.0361 (0.0390) loss_seg: 0.0377 (0.0418) loss_lansim: 0.0783 (0.0794) loss_contra: 0.0000 (0.0026) time: 2.5412 data: 0.0025 max mem: 31671 Epoch: [30] [ 780/5278] eta: 3:10:46 lr: 1.4167364166280988e-05 loss: 0.0361 (0.0389) loss_seg: 0.0379 (0.0418) loss_lansim: 0.0786 (0.0795) loss_contra: 0.0000 (0.0025) time: 2.5642 data: 0.0025 max mem: 31671 Epoch: [30] [ 790/5278] eta: 3:10:14 lr: 1.4164912051747472e-05 loss: 0.0363 (0.0389) loss_seg: 0.0383 (0.0417) loss_lansim: 0.0792 (0.0795) loss_contra: 0.0000 (0.0025) time: 2.5522 data: 0.0025 max mem: 31671 Epoch: [30] [ 800/5278] eta: 3:09:55 lr: 1.4162459890047472e-05 loss: 0.0376 (0.0389) loss_seg: 0.0396 (0.0417) loss_lansim: 0.0798 (0.0795) loss_contra: 0.0000 (0.0025) time: 2.5566 data: 0.0025 max mem: 31671 Epoch: [30] [ 810/5278] eta: 3:09:31 lr: 1.4160007681171012e-05 loss: 0.0380 (0.0389) loss_seg: 0.0396 (0.0417) loss_lansim: 0.0794 (0.0795) loss_contra: 0.0000 (0.0025) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [30] [ 820/5278] eta: 3:09:07 lr: 1.4157555425108101e-05 loss: 0.0375 (0.0388) loss_seg: 0.0383 (0.0416) loss_lansim: 0.0789 (0.0795) loss_contra: 0.0000 (0.0024) time: 2.5630 data: 0.0025 max mem: 31671 Epoch: [30] [ 830/5278] eta: 3:08:42 lr: 1.4155103121848758e-05 loss: 0.0366 (0.0388) loss_seg: 0.0378 (0.0415) loss_lansim: 0.0789 (0.0795) loss_contra: 0.0000 (0.0024) time: 2.5629 data: 0.0025 max mem: 31671 Epoch: [30] [ 840/5278] eta: 3:08:17 lr: 1.4152650771382984e-05 loss: 0.0338 (0.0387) loss_seg: 0.0365 (0.0415) loss_lansim: 0.0798 (0.0795) loss_contra: 0.0000 (0.0024) time: 2.5662 data: 0.0025 max mem: 31671 Epoch: [30] [ 850/5278] eta: 3:07:51 lr: 1.4150198373700777e-05 loss: 0.0327 (0.0387) loss_seg: 0.0359 (0.0415) loss_lansim: 0.0798 (0.0795) loss_contra: 0.0000 (0.0025) time: 2.5719 data: 0.0025 max mem: 31671 Epoch: [30] [ 860/5278] eta: 3:07:27 lr: 1.4147745928792138e-05 loss: 0.0327 (0.0387) loss_seg: 0.0352 (0.0415) loss_lansim: 0.0802 (0.0795) loss_contra: 0.0000 (0.0025) time: 2.5721 data: 0.0025 max mem: 31671 Epoch: [30] [ 870/5278] eta: 3:07:02 lr: 1.4145293436647069e-05 loss: 0.0319 (0.0387) loss_seg: 0.0345 (0.0415) loss_lansim: 0.0798 (0.0795) loss_contra: 0.0000 (0.0024) time: 2.5689 data: 0.0025 max mem: 31671 Epoch: [30] [ 880/5278] eta: 3:06:30 lr: 1.4142840897255549e-05 loss: 0.0327 (0.0388) loss_seg: 0.0348 (0.0415) loss_lansim: 0.0789 (0.0795) loss_contra: 0.0000 (0.0024) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [30] [ 890/5278] eta: 3:06:00 lr: 1.414038831060757e-05 loss: 0.0328 (0.0389) loss_seg: 0.0357 (0.0416) loss_lansim: 0.0789 (0.0796) loss_contra: 0.0000 (0.0024) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [30] [ 900/5278] eta: 3:05:34 lr: 1.4137935676693112e-05 loss: 0.0327 (0.0389) loss_seg: 0.0348 (0.0416) loss_lansim: 0.0785 (0.0795) loss_contra: 0.0000 (0.0023) time: 2.5321 data: 0.0025 max mem: 31671 Epoch: [30] [ 910/5278] eta: 3:05:08 lr: 1.4135482995502159e-05 loss: 0.0327 (0.0391) loss_seg: 0.0345 (0.0419) loss_lansim: 0.0785 (0.0795) loss_contra: 0.0000 (0.0023) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [30] [ 920/5278] eta: 3:04:39 lr: 1.4133030267024672e-05 loss: 0.0327 (0.0390) loss_seg: 0.0348 (0.0418) loss_lansim: 0.0789 (0.0796) loss_contra: 0.0000 (0.0024) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [30] [ 930/5278] eta: 3:04:16 lr: 1.4130577491250629e-05 loss: 0.0332 (0.0389) loss_seg: 0.0348 (0.0417) loss_lansim: 0.0789 (0.0795) loss_contra: 0.0000 (0.0024) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [30] [ 940/5278] eta: 3:03:49 lr: 1.4128124668169996e-05 loss: 0.0332 (0.0388) loss_seg: 0.0357 (0.0416) loss_lansim: 0.0789 (0.0795) loss_contra: 0.0000 (0.0023) time: 2.5162 data: 0.0025 max mem: 31671 Epoch: [30] [ 950/5278] eta: 3:03:22 lr: 1.4125671797772738e-05 loss: 0.0332 (0.0388) loss_seg: 0.0357 (0.0415) loss_lansim: 0.0789 (0.0795) loss_contra: 0.0000 (0.0024) time: 2.5132 data: 0.0025 max mem: 31671 Epoch: [30] [ 960/5278] eta: 3:02:55 lr: 1.4123218880048802e-05 loss: 0.0332 (0.0388) loss_seg: 0.0357 (0.0415) loss_lansim: 0.0784 (0.0795) loss_contra: 0.0000 (0.0024) time: 2.5078 data: 0.0025 max mem: 31671 Epoch: [30] [ 970/5278] eta: 3:02:32 lr: 1.4120765914988152e-05 loss: 0.0334 (0.0387) loss_seg: 0.0357 (0.0415) loss_lansim: 0.0788 (0.0795) loss_contra: 0.0000 (0.0023) time: 2.5115 data: 0.0025 max mem: 31671 Epoch: [30] [ 980/5278] eta: 3:02:04 lr: 1.4118312902580727e-05 loss: 0.0321 (0.0386) loss_seg: 0.0347 (0.0414) loss_lansim: 0.0788 (0.0795) loss_contra: 0.0000 (0.0023) time: 2.5184 data: 0.0025 max mem: 31671 Epoch: [30] [ 990/5278] eta: 3:01:40 lr: 1.4115859842816481e-05 loss: 0.0319 (0.0387) loss_seg: 0.0342 (0.0414) loss_lansim: 0.0784 (0.0795) loss_contra: 0.0000 (0.0023) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [30] [1000/5278] eta: 3:01:16 lr: 1.4113406735685361e-05 loss: 0.0319 (0.0386) loss_seg: 0.0342 (0.0414) loss_lansim: 0.0794 (0.0796) loss_contra: 0.0000 (0.0023) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [30] [1010/5278] eta: 3:00:50 lr: 1.4110953581177285e-05 loss: 0.0326 (0.0387) loss_seg: 0.0351 (0.0415) loss_lansim: 0.0795 (0.0796) loss_contra: 0.0000 (0.0023) time: 2.5332 data: 0.0026 max mem: 31671 Epoch: [30] [1020/5278] eta: 3:00:23 lr: 1.4108500379282203e-05 loss: 0.0332 (0.0387) loss_seg: 0.0359 (0.0415) loss_lansim: 0.0805 (0.0797) loss_contra: 0.0000 (0.0023) time: 2.5366 data: 0.0026 max mem: 31671 Epoch: [30] [1030/5278] eta: 2:59:59 lr: 1.4106047129990035e-05 loss: 0.0326 (0.0387) loss_seg: 0.0359 (0.0415) loss_lansim: 0.0807 (0.0797) loss_contra: 0.0000 (0.0023) time: 2.5361 data: 0.0026 max mem: 31671 Epoch: [30] [1040/5278] eta: 2:59:30 lr: 1.4103593833290716e-05 loss: 0.0351 (0.0388) loss_seg: 0.0378 (0.0415) loss_lansim: 0.0811 (0.0798) loss_contra: 0.0000 (0.0023) time: 2.5315 data: 0.0026 max mem: 31671 Epoch: [30] [1050/5278] eta: 2:59:02 lr: 1.4101140489174154e-05 loss: 0.0363 (0.0389) loss_seg: 0.0391 (0.0417) loss_lansim: 0.0819 (0.0799) loss_contra: 0.0000 (0.0023) time: 2.5279 data: 0.0026 max mem: 31671 Epoch: [30] [1060/5278] eta: 2:58:35 lr: 1.409868709763027e-05 loss: 0.0356 (0.0388) loss_seg: 0.0391 (0.0416) loss_lansim: 0.0827 (0.0799) loss_contra: 0.0000 (0.0023) time: 2.5260 data: 0.0026 max mem: 31671 Epoch: [30] [1070/5278] eta: 2:58:09 lr: 1.4096233658648977e-05 loss: 0.0357 (0.0388) loss_seg: 0.0391 (0.0416) loss_lansim: 0.0833 (0.0800) loss_contra: 0.0000 (0.0023) time: 2.5194 data: 0.0026 max mem: 31671 Epoch: [30] [1080/5278] eta: 2:57:44 lr: 1.4093780172220195e-05 loss: 0.0374 (0.0388) loss_seg: 0.0411 (0.0416) loss_lansim: 0.0843 (0.0800) loss_contra: 0.0000 (0.0022) time: 2.5266 data: 0.0026 max mem: 31671 Epoch: [30] [1090/5278] eta: 2:57:17 lr: 1.4091326638333814e-05 loss: 0.0370 (0.0388) loss_seg: 0.0406 (0.0416) loss_lansim: 0.0859 (0.0801) loss_contra: 0.0000 (0.0022) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [30] [1100/5278] eta: 2:56:53 lr: 1.4088873056979735e-05 loss: 0.0370 (0.0390) loss_seg: 0.0406 (0.0418) loss_lansim: 0.0856 (0.0802) loss_contra: 0.0000 (0.0022) time: 2.5189 data: 0.0025 max mem: 31671 Epoch: [30] [1110/5278] eta: 2:56:25 lr: 1.408641942814786e-05 loss: 0.0356 (0.0390) loss_seg: 0.0390 (0.0417) loss_lansim: 0.0863 (0.0802) loss_contra: 0.0000 (0.0024) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [30] [1120/5278] eta: 2:56:02 lr: 1.4083965751828084e-05 loss: 0.0354 (0.0389) loss_seg: 0.0386 (0.0417) loss_lansim: 0.0857 (0.0802) loss_contra: 0.0000 (0.0024) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [30] [1130/5278] eta: 2:55:38 lr: 1.4081512028010285e-05 loss: 0.0355 (0.0389) loss_seg: 0.0386 (0.0417) loss_lansim: 0.0857 (0.0803) loss_contra: 0.0000 (0.0024) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [30] [1140/5278] eta: 2:55:14 lr: 1.4079058256684352e-05 loss: 0.0354 (0.0389) loss_seg: 0.0378 (0.0416) loss_lansim: 0.0844 (0.0803) loss_contra: 0.0000 (0.0024) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [30] [1150/5278] eta: 2:54:47 lr: 1.4076604437840168e-05 loss: 0.0354 (0.0389) loss_seg: 0.0378 (0.0416) loss_lansim: 0.0856 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5386 data: 0.0025 max mem: 31671 Epoch: [30] [1160/5278] eta: 2:54:23 lr: 1.407415057146761e-05 loss: 0.0355 (0.0393) loss_seg: 0.0385 (0.0420) loss_lansim: 0.0844 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5474 data: 0.0025 max mem: 31671 Epoch: [30] [1170/5278] eta: 2:53:57 lr: 1.407169665755654e-05 loss: 0.0353 (0.0392) loss_seg: 0.0378 (0.0420) loss_lansim: 0.0844 (0.0804) loss_contra: 0.0000 (0.0023) time: 2.5470 data: 0.0026 max mem: 31671 Epoch: [30] [1180/5278] eta: 2:53:32 lr: 1.4069242696096832e-05 loss: 0.0353 (0.0392) loss_seg: 0.0378 (0.0420) loss_lansim: 0.0840 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5467 data: 0.0026 max mem: 31671 Epoch: [30] [1190/5278] eta: 2:53:04 lr: 1.4066788687078347e-05 loss: 0.0359 (0.0392) loss_seg: 0.0378 (0.0419) loss_lansim: 0.0836 (0.0805) loss_contra: 0.0000 (0.0023) time: 2.5424 data: 0.0026 max mem: 31671 Epoch: [30] [1200/5278] eta: 2:52:38 lr: 1.4064334630490953e-05 loss: 0.0359 (0.0392) loss_seg: 0.0373 (0.0419) loss_lansim: 0.0839 (0.0806) loss_contra: 0.0000 (0.0023) time: 2.5372 data: 0.0026 max mem: 31671 Epoch: [30] [1210/5278] eta: 2:52:13 lr: 1.4061880526324491e-05 loss: 0.0352 (0.0391) loss_seg: 0.0369 (0.0419) loss_lansim: 0.0839 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5455 data: 0.0026 max mem: 31671 Epoch: [30] [1220/5278] eta: 2:51:52 lr: 1.405942637456882e-05 loss: 0.0359 (0.0391) loss_seg: 0.0371 (0.0419) loss_lansim: 0.0844 (0.0807) loss_contra: 0.0000 (0.0023) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [30] [1230/5278] eta: 2:51:28 lr: 1.4056972175213784e-05 loss: 0.0360 (0.0392) loss_seg: 0.0383 (0.0419) loss_lansim: 0.0844 (0.0807) loss_contra: 0.0000 (0.0022) time: 2.5528 data: 0.0025 max mem: 31671 Epoch: [30] [1240/5278] eta: 2:51:01 lr: 1.405451792824923e-05 loss: 0.0360 (0.0391) loss_seg: 0.0390 (0.0419) loss_lansim: 0.0850 (0.0807) loss_contra: 0.0000 (0.0022) time: 2.5441 data: 0.0026 max mem: 31671 Epoch: [30] [1250/5278] eta: 2:50:33 lr: 1.4052063633664996e-05 loss: 0.0358 (0.0392) loss_seg: 0.0385 (0.0420) loss_lansim: 0.0847 (0.0808) loss_contra: 0.0000 (0.0023) time: 2.5391 data: 0.0026 max mem: 31671 Epoch: [30] [1260/5278] eta: 2:50:06 lr: 1.4049609291450913e-05 loss: 0.0368 (0.0393) loss_seg: 0.0391 (0.0420) loss_lansim: 0.0854 (0.0809) loss_contra: 0.0001 (0.0023) time: 2.5312 data: 0.0026 max mem: 31671 Epoch: [30] [1270/5278] eta: 2:49:38 lr: 1.404715490159681e-05 loss: 0.0369 (0.0394) loss_seg: 0.0395 (0.0421) loss_lansim: 0.0854 (0.0809) loss_contra: 0.0001 (0.0023) time: 2.5253 data: 0.0026 max mem: 31671 Epoch: [30] [1280/5278] eta: 2:49:14 lr: 1.4044700464092518e-05 loss: 0.0373 (0.0396) loss_seg: 0.0397 (0.0424) loss_lansim: 0.0862 (0.0809) loss_contra: 0.0000 (0.0023) time: 2.5276 data: 0.0026 max mem: 31671 Epoch: [30] [1290/5278] eta: 2:48:48 lr: 1.404224597892786e-05 loss: 0.0380 (0.0396) loss_seg: 0.0408 (0.0424) loss_lansim: 0.0850 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5326 data: 0.0026 max mem: 31671 Epoch: [30] [1300/5278] eta: 2:48:21 lr: 1.4039791446092645e-05 loss: 0.0380 (0.0397) loss_seg: 0.0408 (0.0425) loss_lansim: 0.0840 (0.0809) loss_contra: 0.0000 (0.0022) time: 2.5300 data: 0.0026 max mem: 31671 Epoch: [30] [1310/5278] eta: 2:47:55 lr: 1.4037336865576694e-05 loss: 0.0395 (0.0397) loss_seg: 0.0417 (0.0425) loss_lansim: 0.0839 (0.0810) loss_contra: 0.0000 (0.0022) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [30] [1320/5278] eta: 2:47:29 lr: 1.4034882237369815e-05 loss: 0.0380 (0.0397) loss_seg: 0.0403 (0.0425) loss_lansim: 0.0840 (0.0811) loss_contra: 0.0000 (0.0022) time: 2.5100 data: 0.0025 max mem: 31671 Epoch: [30] [1330/5278] eta: 2:47:02 lr: 1.403242756146182e-05 loss: 0.0378 (0.0397) loss_seg: 0.0395 (0.0424) loss_lansim: 0.0839 (0.0811) loss_contra: 0.0000 (0.0022) time: 2.5004 data: 0.0025 max mem: 31671 Epoch: [30] [1340/5278] eta: 2:46:38 lr: 1.4029972837842495e-05 loss: 0.0380 (0.0397) loss_seg: 0.0403 (0.0424) loss_lansim: 0.0843 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [30] [1350/5278] eta: 2:46:12 lr: 1.4027518066501646e-05 loss: 0.0368 (0.0396) loss_seg: 0.0391 (0.0424) loss_lansim: 0.0840 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [30] [1360/5278] eta: 2:45:48 lr: 1.4025063247429069e-05 loss: 0.0362 (0.0396) loss_seg: 0.0391 (0.0424) loss_lansim: 0.0843 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [30] [1370/5278] eta: 2:45:20 lr: 1.4022608380614548e-05 loss: 0.0360 (0.0396) loss_seg: 0.0382 (0.0423) loss_lansim: 0.0845 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [30] [1380/5278] eta: 2:44:59 lr: 1.402015346604787e-05 loss: 0.0334 (0.0395) loss_seg: 0.0365 (0.0423) loss_lansim: 0.0843 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.5346 data: 0.0024 max mem: 31671 Epoch: [30] [1390/5278] eta: 2:44:35 lr: 1.4017698503718809e-05 loss: 0.0331 (0.0395) loss_seg: 0.0359 (0.0423) loss_lansim: 0.0852 (0.0814) loss_contra: 0.0000 (0.0022) time: 2.5445 data: 0.0024 max mem: 31671 Epoch: [30] [1400/5278] eta: 2:44:09 lr: 1.401524349361715e-05 loss: 0.0333 (0.0395) loss_seg: 0.0359 (0.0423) loss_lansim: 0.0859 (0.0814) loss_contra: 0.0000 (0.0021) time: 2.5457 data: 0.0024 max mem: 31671 Epoch: [30] [1410/5278] eta: 2:43:42 lr: 1.4012788435732665e-05 loss: 0.0331 (0.0395) loss_seg: 0.0357 (0.0422) loss_lansim: 0.0852 (0.0814) loss_contra: 0.0000 (0.0022) time: 2.5456 data: 0.0024 max mem: 31671 Epoch: [30] [1420/5278] eta: 2:43:16 lr: 1.4010333330055115e-05 loss: 0.0334 (0.0395) loss_seg: 0.0359 (0.0422) loss_lansim: 0.0852 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5451 data: 0.0024 max mem: 31671 Epoch: [30] [1430/5278] eta: 2:42:51 lr: 1.4007878176574264e-05 loss: 0.0333 (0.0395) loss_seg: 0.0364 (0.0422) loss_lansim: 0.0852 (0.0814) loss_contra: 0.0000 (0.0021) time: 2.5500 data: 0.0024 max mem: 31671 Epoch: [30] [1440/5278] eta: 2:42:25 lr: 1.4005422975279871e-05 loss: 0.0329 (0.0394) loss_seg: 0.0357 (0.0422) loss_lansim: 0.0845 (0.0814) loss_contra: 0.0000 (0.0021) time: 2.5424 data: 0.0024 max mem: 31671 Epoch: [30] [1450/5278] eta: 2:42:01 lr: 1.4002967726161706e-05 loss: 0.0326 (0.0394) loss_seg: 0.0354 (0.0421) loss_lansim: 0.0844 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5473 data: 0.0024 max mem: 31671 Epoch: [30] [1460/5278] eta: 2:41:36 lr: 1.4000512429209501e-05 loss: 0.0320 (0.0393) loss_seg: 0.0340 (0.0420) loss_lansim: 0.0832 (0.0814) loss_contra: 0.0000 (0.0021) time: 2.5457 data: 0.0024 max mem: 31671 Epoch: [30] [1470/5278] eta: 2:41:13 lr: 1.3998057084413011e-05 loss: 0.0321 (0.0393) loss_seg: 0.0342 (0.0421) loss_lansim: 0.0824 (0.0814) loss_contra: 0.0000 (0.0021) time: 2.5643 data: 0.0024 max mem: 31671 Epoch: [30] [1480/5278] eta: 2:40:47 lr: 1.3995601691761975e-05 loss: 0.0320 (0.0393) loss_seg: 0.0342 (0.0421) loss_lansim: 0.0825 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [30] [1490/5278] eta: 2:40:21 lr: 1.399314625124614e-05 loss: 0.0321 (0.0394) loss_seg: 0.0349 (0.0422) loss_lansim: 0.0821 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5422 data: 0.0025 max mem: 31671 Epoch: [30] [1500/5278] eta: 2:39:54 lr: 1.3990690762855235e-05 loss: 0.0320 (0.0394) loss_seg: 0.0347 (0.0422) loss_lansim: 0.0818 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [30] [1510/5278] eta: 2:39:29 lr: 1.398823522657899e-05 loss: 0.0326 (0.0394) loss_seg: 0.0351 (0.0421) loss_lansim: 0.0818 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5415 data: 0.0026 max mem: 31671 Epoch: [30] [1520/5278] eta: 2:39:05 lr: 1.3985779642407124e-05 loss: 0.0320 (0.0393) loss_seg: 0.0347 (0.0421) loss_lansim: 0.0813 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5483 data: 0.0026 max mem: 31671 Epoch: [30] [1530/5278] eta: 2:38:38 lr: 1.3983324010329371e-05 loss: 0.0326 (0.0393) loss_seg: 0.0351 (0.0420) loss_lansim: 0.0818 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5428 data: 0.0026 max mem: 31671 Epoch: [30] [1540/5278] eta: 2:38:13 lr: 1.3980868330335444e-05 loss: 0.0326 (0.0392) loss_seg: 0.0351 (0.0420) loss_lansim: 0.0818 (0.0815) loss_contra: 0.0000 (0.0021) time: 2.5463 data: 0.0026 max mem: 31671 Epoch: [30] [1550/5278] eta: 2:37:47 lr: 1.3978412602415056e-05 loss: 0.0326 (0.0392) loss_seg: 0.0349 (0.0420) loss_lansim: 0.0818 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.5408 data: 0.0026 max mem: 31671 Epoch: [30] [1560/5278] eta: 2:37:22 lr: 1.3975956826557909e-05 loss: 0.0326 (0.0392) loss_seg: 0.0350 (0.0420) loss_lansim: 0.0822 (0.0816) loss_contra: 0.0000 (0.0022) time: 2.5396 data: 0.0026 max mem: 31671 Epoch: [30] [1570/5278] eta: 2:36:56 lr: 1.397350100275372e-05 loss: 0.0319 (0.0392) loss_seg: 0.0346 (0.0420) loss_lansim: 0.0822 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.5283 data: 0.0026 max mem: 31671 Epoch: [30] [1580/5278] eta: 2:36:32 lr: 1.3971045130992184e-05 loss: 0.0326 (0.0394) loss_seg: 0.0350 (0.0421) loss_lansim: 0.0813 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.5365 data: 0.0026 max mem: 31671 Epoch: [30] [1590/5278] eta: 2:36:07 lr: 1.3968589211262994e-05 loss: 0.0324 (0.0393) loss_seg: 0.0347 (0.0420) loss_lansim: 0.0817 (0.0816) loss_contra: 0.0000 (0.0022) time: 2.5387 data: 0.0026 max mem: 31671 Epoch: [30] [1600/5278] eta: 2:35:43 lr: 1.3966133243555845e-05 loss: 0.0325 (0.0393) loss_seg: 0.0353 (0.0421) loss_lansim: 0.0813 (0.0816) loss_contra: 0.0000 (0.0022) time: 2.5523 data: 0.0026 max mem: 31671 Epoch: [30] [1610/5278] eta: 2:35:20 lr: 1.3963677227860425e-05 loss: 0.0318 (0.0393) loss_seg: 0.0346 (0.0420) loss_lansim: 0.0818 (0.0816) loss_contra: 0.0000 (0.0022) time: 2.5623 data: 0.0026 max mem: 31671 Epoch: [30] [1620/5278] eta: 2:34:55 lr: 1.3961221164166422e-05 loss: 0.0321 (0.0392) loss_seg: 0.0346 (0.0420) loss_lansim: 0.0821 (0.0816) loss_contra: 0.0000 (0.0022) time: 2.5572 data: 0.0026 max mem: 31671 Epoch: [30] [1630/5278] eta: 2:34:29 lr: 1.3958765052463507e-05 loss: 0.0316 (0.0392) loss_seg: 0.0338 (0.0419) loss_lansim: 0.0818 (0.0816) loss_contra: 0.0000 (0.0022) time: 2.5647 data: 0.0026 max mem: 31671 Epoch: [30] [1640/5278] eta: 2:34:04 lr: 1.395630889274136e-05 loss: 0.0314 (0.0391) loss_seg: 0.0337 (0.0419) loss_lansim: 0.0822 (0.0816) loss_contra: 0.0000 (0.0022) time: 2.5634 data: 0.0026 max mem: 31671 Epoch: [30] [1650/5278] eta: 2:33:39 lr: 1.3953852684989648e-05 loss: 0.0312 (0.0391) loss_seg: 0.0338 (0.0418) loss_lansim: 0.0822 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.5641 data: 0.0026 max mem: 31671 Epoch: [30] [1660/5278] eta: 2:33:12 lr: 1.3951396429198053e-05 loss: 0.0318 (0.0391) loss_seg: 0.0338 (0.0418) loss_lansim: 0.0822 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.5603 data: 0.0026 max mem: 31671 Epoch: [30] [1670/5278] eta: 2:32:48 lr: 1.3948940125356213e-05 loss: 0.0321 (0.0391) loss_seg: 0.0340 (0.0418) loss_lansim: 0.0835 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.5676 data: 0.0026 max mem: 31671 Epoch: [30] [1680/5278] eta: 2:32:22 lr: 1.3946483773453804e-05 loss: 0.0318 (0.0390) loss_seg: 0.0337 (0.0418) loss_lansim: 0.0838 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.5582 data: 0.0026 max mem: 31671 Epoch: [30] [1690/5278] eta: 2:31:57 lr: 1.3944027373480473e-05 loss: 0.0319 (0.0391) loss_seg: 0.0339 (0.0418) loss_lansim: 0.0835 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.5576 data: 0.0026 max mem: 31671 Epoch: [30] [1700/5278] eta: 2:31:32 lr: 1.3941570925425875e-05 loss: 0.0318 (0.0390) loss_seg: 0.0337 (0.0418) loss_lansim: 0.0837 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.5569 data: 0.0026 max mem: 31671 Epoch: [30] [1710/5278] eta: 2:31:06 lr: 1.3939114429279649e-05 loss: 0.0326 (0.0391) loss_seg: 0.0349 (0.0418) loss_lansim: 0.0838 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.5389 data: 0.0026 max mem: 31671 Epoch: [30] [1720/5278] eta: 2:30:39 lr: 1.3936657885031437e-05 loss: 0.0327 (0.0390) loss_seg: 0.0357 (0.0418) loss_lansim: 0.0838 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.5328 data: 0.0026 max mem: 31671 Epoch: [30] [1730/5278] eta: 2:30:13 lr: 1.3934201292670878e-05 loss: 0.0337 (0.0391) loss_seg: 0.0367 (0.0418) loss_lansim: 0.0840 (0.0819) loss_contra: 0.0000 (0.0022) time: 2.5285 data: 0.0026 max mem: 31671 Epoch: [30] [1740/5278] eta: 2:29:46 lr: 1.3931744652187608e-05 loss: 0.0340 (0.0391) loss_seg: 0.0370 (0.0418) loss_lansim: 0.0845 (0.0819) loss_contra: 0.0000 (0.0022) time: 2.5208 data: 0.0026 max mem: 31671 Epoch: [30] [1750/5278] eta: 2:29:22 lr: 1.3929287963571255e-05 loss: 0.0340 (0.0391) loss_seg: 0.0370 (0.0418) loss_lansim: 0.0827 (0.0818) loss_contra: 0.0000 (0.0022) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [30] [1760/5278] eta: 2:28:56 lr: 1.3926831226811437e-05 loss: 0.0372 (0.0391) loss_seg: 0.0388 (0.0418) loss_lansim: 0.0823 (0.0818) loss_contra: 0.0000 (0.0022) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [30] [1770/5278] eta: 2:28:31 lr: 1.3924374441897775e-05 loss: 0.0371 (0.0391) loss_seg: 0.0388 (0.0419) loss_lansim: 0.0810 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [30] [1780/5278] eta: 2:28:07 lr: 1.3921917608819887e-05 loss: 0.0372 (0.0391) loss_seg: 0.0404 (0.0419) loss_lansim: 0.0814 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [30] [1790/5278] eta: 2:27:42 lr: 1.391946072756739e-05 loss: 0.0371 (0.0392) loss_seg: 0.0388 (0.0419) loss_lansim: 0.0834 (0.0819) loss_contra: 0.0000 (0.0021) time: 2.5357 data: 0.0025 max mem: 31671 Epoch: [30] [1800/5278] eta: 2:27:17 lr: 1.3917003798129882e-05 loss: 0.0372 (0.0391) loss_seg: 0.0399 (0.0419) loss_lansim: 0.0845 (0.0819) loss_contra: 0.0000 (0.0021) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [30] [1810/5278] eta: 2:26:50 lr: 1.3914546820496965e-05 loss: 0.0371 (0.0392) loss_seg: 0.0391 (0.0419) loss_lansim: 0.0851 (0.0819) loss_contra: 0.0000 (0.0021) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [30] [1820/5278] eta: 2:26:24 lr: 1.3912089794658246e-05 loss: 0.0371 (0.0392) loss_seg: 0.0391 (0.0419) loss_lansim: 0.0845 (0.0819) loss_contra: 0.0000 (0.0021) time: 2.5358 data: 0.0025 max mem: 31671 Epoch: [30] [1830/5278] eta: 2:25:58 lr: 1.3909632720603316e-05 loss: 0.0371 (0.0392) loss_seg: 0.0399 (0.0419) loss_lansim: 0.0843 (0.0819) loss_contra: 0.0000 (0.0021) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [30] [1840/5278] eta: 2:25:34 lr: 1.3907175598321761e-05 loss: 0.0369 (0.0392) loss_seg: 0.0391 (0.0419) loss_lansim: 0.0828 (0.0820) loss_contra: 0.0000 (0.0021) time: 2.5497 data: 0.0026 max mem: 31671 Epoch: [30] [1850/5278] eta: 2:25:08 lr: 1.3904718427803169e-05 loss: 0.0371 (0.0392) loss_seg: 0.0404 (0.0419) loss_lansim: 0.0851 (0.0820) loss_contra: 0.0000 (0.0021) time: 2.5402 data: 0.0026 max mem: 31671 Epoch: [30] [1860/5278] eta: 2:24:41 lr: 1.3902261209037119e-05 loss: 0.0371 (0.0392) loss_seg: 0.0404 (0.0420) loss_lansim: 0.0851 (0.0820) loss_contra: 0.0000 (0.0021) time: 2.5375 data: 0.0026 max mem: 31671 Epoch: [30] [1870/5278] eta: 2:24:17 lr: 1.3899803942013198e-05 loss: 0.0369 (0.0392) loss_seg: 0.0391 (0.0420) loss_lansim: 0.0846 (0.0820) loss_contra: 0.0000 (0.0021) time: 2.5368 data: 0.0026 max mem: 31671 Epoch: [30] [1880/5278] eta: 2:23:51 lr: 1.3897346626720968e-05 loss: 0.0369 (0.0392) loss_seg: 0.0391 (0.0420) loss_lansim: 0.0845 (0.0820) loss_contra: 0.0000 (0.0021) time: 2.5319 data: 0.0027 max mem: 31671 Epoch: [30] [1890/5278] eta: 2:23:26 lr: 1.3894889263149995e-05 loss: 0.0346 (0.0392) loss_seg: 0.0376 (0.0419) loss_lansim: 0.0832 (0.0820) loss_contra: 0.0000 (0.0021) time: 2.5295 data: 0.0027 max mem: 31671 Epoch: [30] [1900/5278] eta: 2:23:00 lr: 1.3892431851289853e-05 loss: 0.0349 (0.0392) loss_seg: 0.0380 (0.0419) loss_lansim: 0.0826 (0.0820) loss_contra: 0.0000 (0.0021) time: 2.5237 data: 0.0027 max mem: 31671 Epoch: [30] [1910/5278] eta: 2:22:35 lr: 1.3889974391130103e-05 loss: 0.0346 (0.0392) loss_seg: 0.0371 (0.0419) loss_lansim: 0.0824 (0.0821) loss_contra: 0.0000 (0.0021) time: 2.5325 data: 0.0026 max mem: 31671 Epoch: [30] [1920/5278] eta: 2:22:09 lr: 1.3887516882660287e-05 loss: 0.0344 (0.0391) loss_seg: 0.0364 (0.0419) loss_lansim: 0.0828 (0.0821) loss_contra: 0.0000 (0.0021) time: 2.5350 data: 0.0026 max mem: 31671 Epoch: [30] [1930/5278] eta: 2:21:43 lr: 1.3885059325869968e-05 loss: 0.0334 (0.0392) loss_seg: 0.0349 (0.0419) loss_lansim: 0.0837 (0.0821) loss_contra: 0.0000 (0.0021) time: 2.5337 data: 0.0026 max mem: 31671 Epoch: [30] [1940/5278] eta: 2:21:17 lr: 1.3882601720748686e-05 loss: 0.0346 (0.0392) loss_seg: 0.0351 (0.0419) loss_lansim: 0.0832 (0.0821) loss_contra: 0.0000 (0.0021) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [30] [1950/5278] eta: 2:20:52 lr: 1.3880144067285988e-05 loss: 0.0346 (0.0392) loss_seg: 0.0364 (0.0419) loss_lansim: 0.0827 (0.0821) loss_contra: 0.0000 (0.0021) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [30] [1960/5278] eta: 2:20:28 lr: 1.3877686365471418e-05 loss: 0.0343 (0.0392) loss_seg: 0.0351 (0.0419) loss_lansim: 0.0837 (0.0821) loss_contra: 0.0000 (0.0021) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [30] [1970/5278] eta: 2:20:04 lr: 1.3875228615294496e-05 loss: 0.0343 (0.0391) loss_seg: 0.0351 (0.0419) loss_lansim: 0.0859 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5498 data: 0.0024 max mem: 31671 Epoch: [30] [1980/5278] eta: 2:19:38 lr: 1.387277081674476e-05 loss: 0.0346 (0.0391) loss_seg: 0.0351 (0.0418) loss_lansim: 0.0847 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5464 data: 0.0024 max mem: 31671 Epoch: [30] [1990/5278] eta: 2:19:13 lr: 1.3870312969811733e-05 loss: 0.0351 (0.0391) loss_seg: 0.0382 (0.0419) loss_lansim: 0.0859 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5462 data: 0.0024 max mem: 31671 Epoch: [30] [2000/5278] eta: 2:18:47 lr: 1.3867855074484942e-05 loss: 0.0350 (0.0392) loss_seg: 0.0382 (0.0419) loss_lansim: 0.0859 (0.0822) loss_contra: 0.0000 (0.0020) time: 2.5431 data: 0.0024 max mem: 31671 Epoch: [30] [2010/5278] eta: 2:18:21 lr: 1.386539713075389e-05 loss: 0.0351 (0.0391) loss_seg: 0.0382 (0.0419) loss_lansim: 0.0852 (0.0822) loss_contra: 0.0000 (0.0021) time: 2.5428 data: 0.0024 max mem: 31671 Epoch: [30] [2020/5278] eta: 2:17:55 lr: 1.3862939138608103e-05 loss: 0.0358 (0.0391) loss_seg: 0.0385 (0.0419) loss_lansim: 0.0842 (0.0822) loss_contra: 0.0000 (0.0021) time: 2.5430 data: 0.0024 max mem: 31671 Epoch: [30] [2030/5278] eta: 2:17:31 lr: 1.3860481098037081e-05 loss: 0.0367 (0.0392) loss_seg: 0.0390 (0.0419) loss_lansim: 0.0839 (0.0822) loss_contra: 0.0000 (0.0021) time: 2.5502 data: 0.0024 max mem: 31671 Epoch: [30] [2040/5278] eta: 2:17:04 lr: 1.3858023009030335e-05 loss: 0.0358 (0.0392) loss_seg: 0.0387 (0.0419) loss_lansim: 0.0843 (0.0822) loss_contra: 0.0000 (0.0021) time: 2.5480 data: 0.0024 max mem: 31671 Epoch: [30] [2050/5278] eta: 2:16:40 lr: 1.3855564871577353e-05 loss: 0.0355 (0.0392) loss_seg: 0.0384 (0.0419) loss_lansim: 0.0846 (0.0823) loss_contra: 0.0000 (0.0021) time: 2.5498 data: 0.0024 max mem: 31671 Epoch: [30] [2060/5278] eta: 2:16:14 lr: 1.3853106685667639e-05 loss: 0.0355 (0.0392) loss_seg: 0.0382 (0.0419) loss_lansim: 0.0842 (0.0823) loss_contra: 0.0000 (0.0021) time: 2.5366 data: 0.0024 max mem: 31671 Epoch: [30] [2070/5278] eta: 2:15:50 lr: 1.385064845129068e-05 loss: 0.0378 (0.0392) loss_seg: 0.0389 (0.0419) loss_lansim: 0.0842 (0.0824) loss_contra: 0.0000 (0.0021) time: 2.5401 data: 0.0025 max mem: 31671 Epoch: [30] [2080/5278] eta: 2:15:25 lr: 1.3848190168435968e-05 loss: 0.0374 (0.0392) loss_seg: 0.0390 (0.0419) loss_lansim: 0.0850 (0.0824) loss_contra: 0.0000 (0.0021) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [30] [2090/5278] eta: 2:15:00 lr: 1.3845731837092973e-05 loss: 0.0356 (0.0392) loss_seg: 0.0381 (0.0419) loss_lansim: 0.0843 (0.0824) loss_contra: 0.0000 (0.0021) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [30] [2100/5278] eta: 2:14:34 lr: 1.384327345725118e-05 loss: 0.0348 (0.0393) loss_seg: 0.0373 (0.0420) loss_lansim: 0.0843 (0.0824) loss_contra: 0.0000 (0.0021) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [30] [2110/5278] eta: 2:14:08 lr: 1.3840815028900062e-05 loss: 0.0348 (0.0392) loss_seg: 0.0374 (0.0419) loss_lansim: 0.0846 (0.0824) loss_contra: 0.0000 (0.0020) time: 2.5477 data: 0.0025 max mem: 31671 Epoch: [30] [2120/5278] eta: 2:13:43 lr: 1.3838356552029094e-05 loss: 0.0348 (0.0392) loss_seg: 0.0373 (0.0420) loss_lansim: 0.0838 (0.0824) loss_contra: 0.0000 (0.0020) time: 2.5483 data: 0.0025 max mem: 31671 Epoch: [30] [2130/5278] eta: 2:13:17 lr: 1.3835898026627724e-05 loss: 0.0347 (0.0393) loss_seg: 0.0369 (0.0420) loss_lansim: 0.0850 (0.0824) loss_contra: 0.0000 (0.0020) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [30] [2140/5278] eta: 2:12:51 lr: 1.3833439452685426e-05 loss: 0.0347 (0.0393) loss_seg: 0.0369 (0.0420) loss_lansim: 0.0851 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [30] [2150/5278] eta: 2:12:25 lr: 1.3830980830191647e-05 loss: 0.0353 (0.0393) loss_seg: 0.0375 (0.0420) loss_lansim: 0.0851 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [30] [2160/5278] eta: 2:11:59 lr: 1.382852215913585e-05 loss: 0.0347 (0.0393) loss_seg: 0.0369 (0.0420) loss_lansim: 0.0851 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5351 data: 0.0025 max mem: 31671 Epoch: [30] [2170/5278] eta: 2:11:34 lr: 1.3826063439507472e-05 loss: 0.0343 (0.0393) loss_seg: 0.0364 (0.0420) loss_lansim: 0.0833 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [30] [2180/5278] eta: 2:11:09 lr: 1.3823604671295954e-05 loss: 0.0332 (0.0393) loss_seg: 0.0360 (0.0420) loss_lansim: 0.0826 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5223 data: 0.0025 max mem: 31671 Epoch: [30] [2190/5278] eta: 2:10:43 lr: 1.3821145854490739e-05 loss: 0.0332 (0.0392) loss_seg: 0.0360 (0.0420) loss_lansim: 0.0824 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5218 data: 0.0025 max mem: 31671 Epoch: [30] [2200/5278] eta: 2:10:17 lr: 1.3818686989081259e-05 loss: 0.0330 (0.0392) loss_seg: 0.0360 (0.0419) loss_lansim: 0.0822 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5196 data: 0.0025 max mem: 31671 Epoch: [30] [2210/5278] eta: 2:09:52 lr: 1.381622807505695e-05 loss: 0.0329 (0.0392) loss_seg: 0.0360 (0.0419) loss_lansim: 0.0822 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5231 data: 0.0025 max mem: 31671 Epoch: [30] [2220/5278] eta: 2:09:27 lr: 1.3813769112407227e-05 loss: 0.0330 (0.0393) loss_seg: 0.0360 (0.0420) loss_lansim: 0.0822 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5294 data: 0.0026 max mem: 31671 Epoch: [30] [2230/5278] eta: 2:09:02 lr: 1.3811310101121514e-05 loss: 0.0330 (0.0393) loss_seg: 0.0361 (0.0420) loss_lansim: 0.0822 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5346 data: 0.0026 max mem: 31671 Epoch: [30] [2240/5278] eta: 2:08:37 lr: 1.3808851041189225e-05 loss: 0.0334 (0.0393) loss_seg: 0.0365 (0.0420) loss_lansim: 0.0815 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5437 data: 0.0026 max mem: 31671 Epoch: [30] [2250/5278] eta: 2:08:13 lr: 1.3806391932599783e-05 loss: 0.0334 (0.0393) loss_seg: 0.0365 (0.0420) loss_lansim: 0.0807 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5540 data: 0.0026 max mem: 31671 Epoch: [30] [2260/5278] eta: 2:07:47 lr: 1.3803932775342582e-05 loss: 0.0331 (0.0393) loss_seg: 0.0361 (0.0420) loss_lansim: 0.0806 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5504 data: 0.0026 max mem: 31671 Epoch: [30] [2270/5278] eta: 2:07:21 lr: 1.3801473569407027e-05 loss: 0.0331 (0.0393) loss_seg: 0.0353 (0.0420) loss_lansim: 0.0815 (0.0825) loss_contra: 0.0001 (0.0020) time: 2.5466 data: 0.0026 max mem: 31671 Epoch: [30] [2280/5278] eta: 2:06:55 lr: 1.3799014314782523e-05 loss: 0.0336 (0.0393) loss_seg: 0.0365 (0.0420) loss_lansim: 0.0811 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5401 data: 0.0026 max mem: 31671 Epoch: [30] [2290/5278] eta: 2:06:28 lr: 1.3796555011458465e-05 loss: 0.0339 (0.0393) loss_seg: 0.0366 (0.0420) loss_lansim: 0.0811 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5335 data: 0.0026 max mem: 31671 Epoch: [30] [2300/5278] eta: 2:06:03 lr: 1.3794095659424233e-05 loss: 0.0342 (0.0393) loss_seg: 0.0369 (0.0420) loss_lansim: 0.0810 (0.0825) loss_contra: 0.0000 (0.0020) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [30] [2310/5278] eta: 2:05:37 lr: 1.3791636258669219e-05 loss: 0.0344 (0.0393) loss_seg: 0.0367 (0.0420) loss_lansim: 0.0812 (0.0825) loss_contra: 0.0001 (0.0020) time: 2.5362 data: 0.0026 max mem: 31671 Epoch: [30] [2320/5278] eta: 2:05:13 lr: 1.37891768091828e-05 loss: 0.0344 (0.0392) loss_seg: 0.0365 (0.0419) loss_lansim: 0.0818 (0.0825) loss_contra: 0.0001 (0.0020) time: 2.5390 data: 0.0025 max mem: 31671 Epoch: [30] [2330/5278] eta: 2:04:47 lr: 1.3786717310954365e-05 loss: 0.0342 (0.0392) loss_seg: 0.0361 (0.0419) loss_lansim: 0.0808 (0.0825) loss_contra: 0.0001 (0.0020) time: 2.5322 data: 0.0025 max mem: 31671 Epoch: [30] [2340/5278] eta: 2:04:22 lr: 1.3784257763973266e-05 loss: 0.0344 (0.0393) loss_seg: 0.0361 (0.0420) loss_lansim: 0.0812 (0.0825) loss_contra: 0.0001 (0.0020) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [30] [2350/5278] eta: 2:03:56 lr: 1.3781798168228885e-05 loss: 0.0350 (0.0393) loss_seg: 0.0367 (0.0420) loss_lansim: 0.0811 (0.0825) loss_contra: 0.0001 (0.0020) time: 2.5198 data: 0.0025 max mem: 31671 Epoch: [30] [2360/5278] eta: 2:03:31 lr: 1.3779338523710577e-05 loss: 0.0351 (0.0393) loss_seg: 0.0367 (0.0420) loss_lansim: 0.0811 (0.0825) loss_contra: 0.0001 (0.0021) time: 2.5273 data: 0.0025 max mem: 31671 Epoch: [30] [2370/5278] eta: 2:03:05 lr: 1.3776878830407713e-05 loss: 0.0353 (0.0393) loss_seg: 0.0378 (0.0420) loss_lansim: 0.0808 (0.0825) loss_contra: 0.0001 (0.0021) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [30] [2380/5278] eta: 2:02:40 lr: 1.3774419088309638e-05 loss: 0.0352 (0.0393) loss_seg: 0.0367 (0.0420) loss_lansim: 0.0812 (0.0825) loss_contra: 0.0001 (0.0021) time: 2.5317 data: 0.0025 max mem: 31671 Epoch: [30] [2390/5278] eta: 2:02:15 lr: 1.3771959297405698e-05 loss: 0.0346 (0.0392) loss_seg: 0.0364 (0.0419) loss_lansim: 0.0814 (0.0825) loss_contra: 0.0001 (0.0021) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [30] [2400/5278] eta: 2:01:49 lr: 1.3769499457685246e-05 loss: 0.0350 (0.0393) loss_seg: 0.0364 (0.0420) loss_lansim: 0.0814 (0.0825) loss_contra: 0.0001 (0.0021) time: 2.5443 data: 0.0025 max mem: 31671 Epoch: [30] [2410/5278] eta: 2:01:24 lr: 1.3767039569137625e-05 loss: 0.0352 (0.0393) loss_seg: 0.0364 (0.0420) loss_lansim: 0.0805 (0.0825) loss_contra: 0.0000 (0.0021) time: 2.5481 data: 0.0026 max mem: 31671 Epoch: [30] [2420/5278] eta: 2:00:57 lr: 1.3764579631752164e-05 loss: 0.0359 (0.0392) loss_seg: 0.0364 (0.0419) loss_lansim: 0.0813 (0.0825) loss_contra: 0.0000 (0.0021) time: 2.5261 data: 0.0026 max mem: 31671 Epoch: [30] [2430/5278] eta: 2:00:32 lr: 1.3762119645518195e-05 loss: 0.0362 (0.0392) loss_seg: 0.0378 (0.0419) loss_lansim: 0.0822 (0.0826) loss_contra: 0.0000 (0.0021) time: 2.5258 data: 0.0025 max mem: 31671 Epoch: [30] [2440/5278] eta: 2:00:06 lr: 1.3759659610425055e-05 loss: 0.0347 (0.0392) loss_seg: 0.0362 (0.0419) loss_lansim: 0.0822 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5260 data: 0.0026 max mem: 31671 Epoch: [30] [2450/5278] eta: 1:59:41 lr: 1.3757199526462058e-05 loss: 0.0343 (0.0392) loss_seg: 0.0360 (0.0419) loss_lansim: 0.0830 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5313 data: 0.0026 max mem: 31671 Epoch: [30] [2460/5278] eta: 1:59:16 lr: 1.3754739393618532e-05 loss: 0.0337 (0.0392) loss_seg: 0.0353 (0.0418) loss_lansim: 0.0830 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5314 data: 0.0026 max mem: 31671 Epoch: [30] [2470/5278] eta: 1:58:51 lr: 1.3752279211883782e-05 loss: 0.0344 (0.0392) loss_seg: 0.0357 (0.0418) loss_lansim: 0.0838 (0.0826) loss_contra: 0.0000 (0.0021) time: 2.5351 data: 0.0026 max mem: 31671 Epoch: [30] [2480/5278] eta: 1:58:26 lr: 1.374981898124712e-05 loss: 0.0347 (0.0392) loss_seg: 0.0360 (0.0419) loss_lansim: 0.0836 (0.0826) loss_contra: 0.0000 (0.0021) time: 2.5413 data: 0.0026 max mem: 31671 Epoch: [30] [2490/5278] eta: 1:58:01 lr: 1.3747358701697855e-05 loss: 0.0359 (0.0392) loss_seg: 0.0378 (0.0419) loss_lansim: 0.0845 (0.0826) loss_contra: 0.0000 (0.0021) time: 2.5454 data: 0.0025 max mem: 31671 Epoch: [30] [2500/5278] eta: 1:57:36 lr: 1.3744898373225292e-05 loss: 0.0344 (0.0391) loss_seg: 0.0354 (0.0418) loss_lansim: 0.0853 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5461 data: 0.0026 max mem: 31671 Epoch: [30] [2510/5278] eta: 1:57:10 lr: 1.3742437995818713e-05 loss: 0.0343 (0.0391) loss_seg: 0.0353 (0.0418) loss_lansim: 0.0861 (0.0826) loss_contra: 0.0001 (0.0020) time: 2.5394 data: 0.0025 max mem: 31671 Epoch: [30] [2520/5278] eta: 1:56:45 lr: 1.373997756946742e-05 loss: 0.0347 (0.0391) loss_seg: 0.0374 (0.0418) loss_lansim: 0.0853 (0.0826) loss_contra: 0.0001 (0.0021) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [30] [2530/5278] eta: 1:56:19 lr: 1.37375170941607e-05 loss: 0.0348 (0.0391) loss_seg: 0.0370 (0.0418) loss_lansim: 0.0853 (0.0826) loss_contra: 0.0001 (0.0021) time: 2.5490 data: 0.0025 max mem: 31671 Epoch: [30] [2540/5278] eta: 1:55:52 lr: 1.373505656988784e-05 loss: 0.0358 (0.0391) loss_seg: 0.0381 (0.0418) loss_lansim: 0.0845 (0.0826) loss_contra: 0.0001 (0.0021) time: 2.5399 data: 0.0025 max mem: 31671 Epoch: [30] [2550/5278] eta: 1:55:26 lr: 1.3732595996638111e-05 loss: 0.0349 (0.0391) loss_seg: 0.0376 (0.0418) loss_lansim: 0.0851 (0.0826) loss_contra: 0.0001 (0.0021) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [30] [2560/5278] eta: 1:55:00 lr: 1.3730135374400787e-05 loss: 0.0358 (0.0391) loss_seg: 0.0378 (0.0418) loss_lansim: 0.0845 (0.0827) loss_contra: 0.0001 (0.0021) time: 2.5256 data: 0.0025 max mem: 31671 Epoch: [30] [2570/5278] eta: 1:54:35 lr: 1.3727674703165144e-05 loss: 0.0348 (0.0391) loss_seg: 0.0363 (0.0417) loss_lansim: 0.0822 (0.0827) loss_contra: 0.0000 (0.0021) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [30] [2580/5278] eta: 1:54:09 lr: 1.3725213982920445e-05 loss: 0.0338 (0.0390) loss_seg: 0.0361 (0.0417) loss_lansim: 0.0814 (0.0827) loss_contra: 0.0000 (0.0021) time: 2.5127 data: 0.0025 max mem: 31671 Epoch: [30] [2590/5278] eta: 1:53:43 lr: 1.3722753213655945e-05 loss: 0.0330 (0.0390) loss_seg: 0.0343 (0.0417) loss_lansim: 0.0813 (0.0827) loss_contra: 0.0000 (0.0021) time: 2.5023 data: 0.0025 max mem: 31671 Epoch: [30] [2600/5278] eta: 1:53:18 lr: 1.3720292395360907e-05 loss: 0.0348 (0.0390) loss_seg: 0.0361 (0.0417) loss_lansim: 0.0810 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5053 data: 0.0025 max mem: 31671 Epoch: [30] [2610/5278] eta: 1:52:53 lr: 1.3717831528024577e-05 loss: 0.0348 (0.0390) loss_seg: 0.0363 (0.0417) loss_lansim: 0.0809 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5055 data: 0.0025 max mem: 31671 Epoch: [30] [2620/5278] eta: 1:52:28 lr: 1.3715370611636213e-05 loss: 0.0344 (0.0390) loss_seg: 0.0357 (0.0416) loss_lansim: 0.0809 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [30] [2630/5278] eta: 1:52:02 lr: 1.3712909646185044e-05 loss: 0.0340 (0.0390) loss_seg: 0.0350 (0.0416) loss_lansim: 0.0808 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5142 data: 0.0025 max mem: 31671 Epoch: [30] [2640/5278] eta: 1:51:36 lr: 1.3710448631660314e-05 loss: 0.0345 (0.0390) loss_seg: 0.0357 (0.0416) loss_lansim: 0.0809 (0.0826) loss_contra: 0.0000 (0.0020) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [30] [2650/5278] eta: 1:51:11 lr: 1.3707987568051256e-05 loss: 0.0345 (0.0389) loss_seg: 0.0357 (0.0416) loss_lansim: 0.0813 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [30] [2660/5278] eta: 1:50:46 lr: 1.3705526455347107e-05 loss: 0.0346 (0.0390) loss_seg: 0.0360 (0.0417) loss_lansim: 0.0821 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [30] [2670/5278] eta: 1:50:20 lr: 1.3703065293537076e-05 loss: 0.0346 (0.0390) loss_seg: 0.0367 (0.0417) loss_lansim: 0.0826 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [30] [2680/5278] eta: 1:49:55 lr: 1.3700604082610393e-05 loss: 0.0346 (0.0390) loss_seg: 0.0367 (0.0417) loss_lansim: 0.0826 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [30] [2690/5278] eta: 1:49:30 lr: 1.3698142822556274e-05 loss: 0.0351 (0.0390) loss_seg: 0.0372 (0.0416) loss_lansim: 0.0832 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5481 data: 0.0025 max mem: 31671 Epoch: [30] [2700/5278] eta: 1:49:05 lr: 1.3695681513363926e-05 loss: 0.0346 (0.0390) loss_seg: 0.0374 (0.0417) loss_lansim: 0.0834 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5484 data: 0.0024 max mem: 31671 Epoch: [30] [2710/5278] eta: 1:48:40 lr: 1.3693220155022563e-05 loss: 0.0351 (0.0390) loss_seg: 0.0379 (0.0417) loss_lansim: 0.0834 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [30] [2720/5278] eta: 1:48:15 lr: 1.3690758747521378e-05 loss: 0.0370 (0.0390) loss_seg: 0.0389 (0.0417) loss_lansim: 0.0835 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5507 data: 0.0025 max mem: 31671 Epoch: [30] [2730/5278] eta: 1:47:50 lr: 1.3688297290849572e-05 loss: 0.0359 (0.0390) loss_seg: 0.0382 (0.0417) loss_lansim: 0.0834 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5578 data: 0.0025 max mem: 31671 Epoch: [30] [2740/5278] eta: 1:47:25 lr: 1.3685835784996337e-05 loss: 0.0350 (0.0390) loss_seg: 0.0380 (0.0416) loss_lansim: 0.0834 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5736 data: 0.0025 max mem: 31671 Epoch: [30] [2750/5278] eta: 1:47:00 lr: 1.3683374229950869e-05 loss: 0.0350 (0.0389) loss_seg: 0.0377 (0.0416) loss_lansim: 0.0834 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5659 data: 0.0025 max mem: 31671 Epoch: [30] [2760/5278] eta: 1:46:34 lr: 1.3680912625702341e-05 loss: 0.0350 (0.0390) loss_seg: 0.0377 (0.0416) loss_lansim: 0.0817 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5611 data: 0.0025 max mem: 31671 Epoch: [30] [2770/5278] eta: 1:46:09 lr: 1.3678450972239934e-05 loss: 0.0344 (0.0389) loss_seg: 0.0370 (0.0416) loss_lansim: 0.0815 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5654 data: 0.0025 max mem: 31671 Epoch: [30] [2780/5278] eta: 1:45:43 lr: 1.3675989269552827e-05 loss: 0.0345 (0.0389) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0821 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [30] [2790/5278] eta: 1:45:18 lr: 1.3673527517630197e-05 loss: 0.0345 (0.0389) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0822 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5540 data: 0.0025 max mem: 31671 Epoch: [30] [2800/5278] eta: 1:44:52 lr: 1.3671065716461193e-05 loss: 0.0344 (0.0389) loss_seg: 0.0360 (0.0416) loss_lansim: 0.0821 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [30] [2810/5278] eta: 1:44:27 lr: 1.3668603866034984e-05 loss: 0.0331 (0.0389) loss_seg: 0.0359 (0.0416) loss_lansim: 0.0821 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [30] [2820/5278] eta: 1:44:02 lr: 1.366614196634073e-05 loss: 0.0328 (0.0389) loss_seg: 0.0352 (0.0416) loss_lansim: 0.0817 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5521 data: 0.0025 max mem: 31671 Epoch: [30] [2830/5278] eta: 1:43:38 lr: 1.3663680017367583e-05 loss: 0.0344 (0.0389) loss_seg: 0.0359 (0.0416) loss_lansim: 0.0816 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5566 data: 0.0025 max mem: 31671 Epoch: [30] [2840/5278] eta: 1:43:12 lr: 1.3661218019104686e-05 loss: 0.0353 (0.0389) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0816 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5480 data: 0.0025 max mem: 31671 Epoch: [30] [2850/5278] eta: 1:42:46 lr: 1.3658755971541182e-05 loss: 0.0355 (0.0389) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0818 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [30] [2860/5278] eta: 1:42:22 lr: 1.3656293874666209e-05 loss: 0.0346 (0.0389) loss_seg: 0.0369 (0.0416) loss_lansim: 0.0821 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5670 data: 0.0025 max mem: 31671 Epoch: [30] [2870/5278] eta: 1:41:56 lr: 1.365383172846891e-05 loss: 0.0357 (0.0389) loss_seg: 0.0381 (0.0416) loss_lansim: 0.0823 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5592 data: 0.0025 max mem: 31671 Epoch: [30] [2880/5278] eta: 1:41:31 lr: 1.3651369532938402e-05 loss: 0.0358 (0.0389) loss_seg: 0.0387 (0.0416) loss_lansim: 0.0821 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5576 data: 0.0025 max mem: 31671 Epoch: [30] [2890/5278] eta: 1:41:06 lr: 1.3648907288063811e-05 loss: 0.0359 (0.0389) loss_seg: 0.0389 (0.0416) loss_lansim: 0.0818 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5609 data: 0.0025 max mem: 31671 Epoch: [30] [2900/5278] eta: 1:40:40 lr: 1.3646444993834264e-05 loss: 0.0355 (0.0389) loss_seg: 0.0380 (0.0416) loss_lansim: 0.0823 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5613 data: 0.0025 max mem: 31671 Epoch: [30] [2910/5278] eta: 1:40:14 lr: 1.3643982650238878e-05 loss: 0.0355 (0.0389) loss_seg: 0.0380 (0.0416) loss_lansim: 0.0823 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5605 data: 0.0025 max mem: 31671 Epoch: [30] [2920/5278] eta: 1:39:50 lr: 1.3641520257266755e-05 loss: 0.0348 (0.0389) loss_seg: 0.0380 (0.0415) loss_lansim: 0.0831 (0.0827) loss_contra: 0.0000 (0.0020) time: 2.5560 data: 0.0024 max mem: 31671 Epoch: [30] [2930/5278] eta: 1:39:24 lr: 1.3639057814907002e-05 loss: 0.0348 (0.0389) loss_seg: 0.0380 (0.0415) loss_lansim: 0.0831 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5401 data: 0.0024 max mem: 31671 Epoch: [30] [2940/5278] eta: 1:38:59 lr: 1.3636595323148726e-05 loss: 0.0336 (0.0389) loss_seg: 0.0369 (0.0415) loss_lansim: 0.0830 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5453 data: 0.0024 max mem: 31671 Epoch: [30] [2950/5278] eta: 1:38:33 lr: 1.3634132781981022e-05 loss: 0.0347 (0.0389) loss_seg: 0.0378 (0.0415) loss_lansim: 0.0826 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5455 data: 0.0024 max mem: 31671 Epoch: [30] [2960/5278] eta: 1:38:06 lr: 1.3631670191392986e-05 loss: 0.0356 (0.0389) loss_seg: 0.0382 (0.0415) loss_lansim: 0.0831 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5177 data: 0.0024 max mem: 31671 Epoch: [30] [2970/5278] eta: 1:37:41 lr: 1.3629207551373699e-05 loss: 0.0348 (0.0389) loss_seg: 0.0374 (0.0416) loss_lansim: 0.0831 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5193 data: 0.0024 max mem: 31671 Epoch: [30] [2980/5278] eta: 1:37:16 lr: 1.3626744861912246e-05 loss: 0.0348 (0.0389) loss_seg: 0.0374 (0.0416) loss_lansim: 0.0834 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5243 data: 0.0024 max mem: 31671 Epoch: [30] [2990/5278] eta: 1:36:50 lr: 1.3624282122997709e-05 loss: 0.0348 (0.0389) loss_seg: 0.0374 (0.0416) loss_lansim: 0.0832 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [30] [3000/5278] eta: 1:36:24 lr: 1.3621819334619166e-05 loss: 0.0356 (0.0390) loss_seg: 0.0388 (0.0416) loss_lansim: 0.0824 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [30] [3010/5278] eta: 1:35:59 lr: 1.3619356496765676e-05 loss: 0.0356 (0.0389) loss_seg: 0.0388 (0.0416) loss_lansim: 0.0826 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5164 data: 0.0025 max mem: 31671 Epoch: [30] [3020/5278] eta: 1:35:33 lr: 1.3616893609426307e-05 loss: 0.0370 (0.0389) loss_seg: 0.0394 (0.0416) loss_lansim: 0.0819 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5070 data: 0.0025 max mem: 31671 Epoch: [30] [3030/5278] eta: 1:35:07 lr: 1.3614430672590124e-05 loss: 0.0353 (0.0389) loss_seg: 0.0377 (0.0416) loss_lansim: 0.0819 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5057 data: 0.0025 max mem: 31671 Epoch: [30] [3040/5278] eta: 1:34:42 lr: 1.3611967686246183e-05 loss: 0.0370 (0.0390) loss_seg: 0.0392 (0.0416) loss_lansim: 0.0824 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5068 data: 0.0025 max mem: 31671 Epoch: [30] [3050/5278] eta: 1:34:17 lr: 1.3609504650383528e-05 loss: 0.0360 (0.0390) loss_seg: 0.0388 (0.0416) loss_lansim: 0.0818 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5125 data: 0.0025 max mem: 31671 Epoch: [30] [3060/5278] eta: 1:33:51 lr: 1.3607041564991207e-05 loss: 0.0353 (0.0389) loss_seg: 0.0376 (0.0416) loss_lansim: 0.0799 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [30] [3070/5278] eta: 1:33:25 lr: 1.3604578430058268e-05 loss: 0.0353 (0.0389) loss_seg: 0.0376 (0.0416) loss_lansim: 0.0788 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5149 data: 0.0025 max mem: 31671 Epoch: [30] [3080/5278] eta: 1:33:00 lr: 1.3602115245573746e-05 loss: 0.0353 (0.0389) loss_seg: 0.0376 (0.0416) loss_lansim: 0.0783 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5127 data: 0.0025 max mem: 31671 Epoch: [30] [3090/5278] eta: 1:32:34 lr: 1.359965201152667e-05 loss: 0.0348 (0.0389) loss_seg: 0.0370 (0.0416) loss_lansim: 0.0783 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5093 data: 0.0025 max mem: 31671 Epoch: [30] [3100/5278] eta: 1:32:08 lr: 1.3597188727906066e-05 loss: 0.0344 (0.0389) loss_seg: 0.0369 (0.0416) loss_lansim: 0.0796 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [30] [3110/5278] eta: 1:31:44 lr: 1.3594725394700964e-05 loss: 0.0348 (0.0389) loss_seg: 0.0370 (0.0416) loss_lansim: 0.0792 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5234 data: 0.0025 max mem: 31671 Epoch: [30] [3120/5278] eta: 1:31:18 lr: 1.3592262011900384e-05 loss: 0.0348 (0.0389) loss_seg: 0.0369 (0.0416) loss_lansim: 0.0793 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5286 data: 0.0026 max mem: 31671 Epoch: [30] [3130/5278] eta: 1:30:53 lr: 1.358979857949333e-05 loss: 0.0351 (0.0389) loss_seg: 0.0380 (0.0416) loss_lansim: 0.0796 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5320 data: 0.0026 max mem: 31671 Epoch: [30] [3140/5278] eta: 1:30:27 lr: 1.3587335097468815e-05 loss: 0.0348 (0.0390) loss_seg: 0.0371 (0.0416) loss_lansim: 0.0796 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5259 data: 0.0026 max mem: 31671 Epoch: [30] [3150/5278] eta: 1:30:02 lr: 1.3584871565815845e-05 loss: 0.0339 (0.0389) loss_seg: 0.0365 (0.0416) loss_lansim: 0.0797 (0.0827) loss_contra: 0.0000 (0.0019) time: 2.5317 data: 0.0026 max mem: 31671 Epoch: [30] [3160/5278] eta: 1:29:37 lr: 1.358240798452343e-05 loss: 0.0348 (0.0390) loss_seg: 0.0376 (0.0417) loss_lansim: 0.0796 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5451 data: 0.0027 max mem: 31671 Epoch: [30] [3170/5278] eta: 1:29:11 lr: 1.3579944353580545e-05 loss: 0.0366 (0.0391) loss_seg: 0.0392 (0.0417) loss_lansim: 0.0802 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5418 data: 0.0027 max mem: 31671 Epoch: [30] [3180/5278] eta: 1:28:46 lr: 1.3577480672976195e-05 loss: 0.0348 (0.0390) loss_seg: 0.0380 (0.0417) loss_lansim: 0.0801 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5432 data: 0.0027 max mem: 31671 Epoch: [30] [3190/5278] eta: 1:28:21 lr: 1.3575016942699362e-05 loss: 0.0366 (0.0390) loss_seg: 0.0392 (0.0417) loss_lansim: 0.0796 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5519 data: 0.0027 max mem: 31671 Epoch: [30] [3200/5278] eta: 1:27:56 lr: 1.3572553162739027e-05 loss: 0.0375 (0.0390) loss_seg: 0.0403 (0.0417) loss_lansim: 0.0796 (0.0826) loss_contra: 0.0000 (0.0018) time: 2.5542 data: 0.0026 max mem: 31671 Epoch: [30] [3210/5278] eta: 1:27:30 lr: 1.3570089333084174e-05 loss: 0.0356 (0.0390) loss_seg: 0.0385 (0.0417) loss_lansim: 0.0796 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5481 data: 0.0026 max mem: 31671 Epoch: [30] [3220/5278] eta: 1:27:05 lr: 1.3567625453723764e-05 loss: 0.0356 (0.0390) loss_seg: 0.0380 (0.0417) loss_lansim: 0.0805 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5478 data: 0.0025 max mem: 31671 Epoch: [30] [3230/5278] eta: 1:26:40 lr: 1.356516152464677e-05 loss: 0.0335 (0.0390) loss_seg: 0.0365 (0.0417) loss_lansim: 0.0795 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5538 data: 0.0025 max mem: 31671 Epoch: [30] [3240/5278] eta: 1:26:15 lr: 1.3562697545842148e-05 loss: 0.0328 (0.0390) loss_seg: 0.0351 (0.0417) loss_lansim: 0.0801 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5595 data: 0.0025 max mem: 31671 Epoch: [30] [3250/5278] eta: 1:25:49 lr: 1.3560233517298874e-05 loss: 0.0329 (0.0390) loss_seg: 0.0359 (0.0417) loss_lansim: 0.0808 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5498 data: 0.0025 max mem: 31671 Epoch: [30] [3260/5278] eta: 1:25:24 lr: 1.355776943900588e-05 loss: 0.0335 (0.0390) loss_seg: 0.0353 (0.0417) loss_lansim: 0.0808 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5428 data: 0.0025 max mem: 31671 Epoch: [30] [3270/5278] eta: 1:24:59 lr: 1.3555305310952123e-05 loss: 0.0329 (0.0390) loss_seg: 0.0350 (0.0417) loss_lansim: 0.0818 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5559 data: 0.0025 max mem: 31671 Epoch: [30] [3280/5278] eta: 1:24:33 lr: 1.3552841133126548e-05 loss: 0.0328 (0.0390) loss_seg: 0.0348 (0.0417) loss_lansim: 0.0826 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5562 data: 0.0025 max mem: 31671 Epoch: [30] [3290/5278] eta: 1:24:07 lr: 1.35503769055181e-05 loss: 0.0335 (0.0390) loss_seg: 0.0359 (0.0417) loss_lansim: 0.0842 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [30] [3300/5278] eta: 1:23:42 lr: 1.3547912628115702e-05 loss: 0.0334 (0.0390) loss_seg: 0.0353 (0.0417) loss_lansim: 0.0848 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [30] [3310/5278] eta: 1:23:16 lr: 1.3545448300908289e-05 loss: 0.0330 (0.0390) loss_seg: 0.0351 (0.0417) loss_lansim: 0.0842 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5378 data: 0.0025 max mem: 31671 Epoch: [30] [3320/5278] eta: 1:22:51 lr: 1.3542983923884786e-05 loss: 0.0337 (0.0390) loss_seg: 0.0356 (0.0417) loss_lansim: 0.0834 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [30] [3330/5278] eta: 1:22:25 lr: 1.3540519497034121e-05 loss: 0.0341 (0.0390) loss_seg: 0.0362 (0.0417) loss_lansim: 0.0842 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [30] [3340/5278] eta: 1:22:00 lr: 1.3538055020345198e-05 loss: 0.0346 (0.0390) loss_seg: 0.0372 (0.0416) loss_lansim: 0.0842 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5225 data: 0.0025 max mem: 31671 Epoch: [30] [3350/5278] eta: 1:21:34 lr: 1.3535590493806929e-05 loss: 0.0344 (0.0390) loss_seg: 0.0367 (0.0416) loss_lansim: 0.0842 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [30] [3360/5278] eta: 1:21:09 lr: 1.3533125917408227e-05 loss: 0.0336 (0.0389) loss_seg: 0.0367 (0.0416) loss_lansim: 0.0846 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5214 data: 0.0025 max mem: 31671 Epoch: [30] [3370/5278] eta: 1:20:43 lr: 1.3530661291137995e-05 loss: 0.0336 (0.0390) loss_seg: 0.0367 (0.0417) loss_lansim: 0.0842 (0.0827) loss_contra: 0.0000 (0.0018) time: 2.5143 data: 0.0025 max mem: 31671 Epoch: [30] [3380/5278] eta: 1:20:17 lr: 1.3528196614985123e-05 loss: 0.0350 (0.0390) loss_seg: 0.0378 (0.0417) loss_lansim: 0.0842 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5018 data: 0.0025 max mem: 31671 Epoch: [30] [3390/5278] eta: 1:19:52 lr: 1.3525731888938501e-05 loss: 0.0335 (0.0390) loss_seg: 0.0356 (0.0416) loss_lansim: 0.0841 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5088 data: 0.0025 max mem: 31671 Epoch: [30] [3400/5278] eta: 1:19:26 lr: 1.3523267112987024e-05 loss: 0.0324 (0.0389) loss_seg: 0.0351 (0.0416) loss_lansim: 0.0841 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5085 data: 0.0025 max mem: 31671 Epoch: [30] [3410/5278] eta: 1:19:01 lr: 1.3520802287119578e-05 loss: 0.0329 (0.0390) loss_seg: 0.0355 (0.0417) loss_lansim: 0.0841 (0.0828) loss_contra: 0.0001 (0.0018) time: 2.5068 data: 0.0025 max mem: 31671 Epoch: [30] [3420/5278] eta: 1:18:36 lr: 1.3518337411325027e-05 loss: 0.0319 (0.0390) loss_seg: 0.0349 (0.0417) loss_lansim: 0.0842 (0.0828) loss_contra: 0.0001 (0.0018) time: 2.5169 data: 0.0024 max mem: 31671 Epoch: [30] [3430/5278] eta: 1:18:10 lr: 1.3515872485592254e-05 loss: 0.0315 (0.0390) loss_seg: 0.0343 (0.0417) loss_lansim: 0.0842 (0.0828) loss_contra: 0.0001 (0.0018) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [30] [3440/5278] eta: 1:17:45 lr: 1.3513407509910129e-05 loss: 0.0324 (0.0390) loss_seg: 0.0355 (0.0417) loss_lansim: 0.0837 (0.0828) loss_contra: 0.0001 (0.0018) time: 2.5162 data: 0.0025 max mem: 31671 Epoch: [30] [3450/5278] eta: 1:17:19 lr: 1.3510942484267507e-05 loss: 0.0338 (0.0390) loss_seg: 0.0371 (0.0417) loss_lansim: 0.0852 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5169 data: 0.0025 max mem: 31671 Epoch: [30] [3460/5278] eta: 1:16:53 lr: 1.3508477408653261e-05 loss: 0.0350 (0.0390) loss_seg: 0.0384 (0.0417) loss_lansim: 0.0860 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5138 data: 0.0025 max mem: 31671 Epoch: [30] [3470/5278] eta: 1:16:28 lr: 1.3506012283056233e-05 loss: 0.0355 (0.0390) loss_seg: 0.0387 (0.0417) loss_lansim: 0.0847 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5192 data: 0.0025 max mem: 31671 Epoch: [30] [3480/5278] eta: 1:16:03 lr: 1.3503547107465275e-05 loss: 0.0354 (0.0390) loss_seg: 0.0387 (0.0417) loss_lansim: 0.0841 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5237 data: 0.0025 max mem: 31671 Epoch: [30] [3490/5278] eta: 1:15:37 lr: 1.3501081881869235e-05 loss: 0.0355 (0.0390) loss_seg: 0.0389 (0.0417) loss_lansim: 0.0835 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5226 data: 0.0025 max mem: 31671 Epoch: [30] [3500/5278] eta: 1:15:12 lr: 1.3498616606256956e-05 loss: 0.0369 (0.0390) loss_seg: 0.0405 (0.0418) loss_lansim: 0.0833 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5308 data: 0.0025 max mem: 31671 Epoch: [30] [3510/5278] eta: 1:14:46 lr: 1.349615128061726e-05 loss: 0.0365 (0.0390) loss_seg: 0.0390 (0.0417) loss_lansim: 0.0833 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5236 data: 0.0025 max mem: 31671 Epoch: [30] [3520/5278] eta: 1:14:21 lr: 1.3493685904938991e-05 loss: 0.0369 (0.0391) loss_seg: 0.0401 (0.0418) loss_lansim: 0.0833 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5148 data: 0.0025 max mem: 31671 Epoch: [30] [3530/5278] eta: 1:13:55 lr: 1.349122047921097e-05 loss: 0.0367 (0.0391) loss_seg: 0.0401 (0.0418) loss_lansim: 0.0832 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5243 data: 0.0025 max mem: 31671 Epoch: [30] [3540/5278] eta: 1:13:30 lr: 1.3488755003422024e-05 loss: 0.0369 (0.0390) loss_seg: 0.0402 (0.0418) loss_lansim: 0.0832 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5118 data: 0.0025 max mem: 31671 Epoch: [30] [3550/5278] eta: 1:13:04 lr: 1.3486289477560957e-05 loss: 0.0365 (0.0390) loss_seg: 0.0399 (0.0418) loss_lansim: 0.0820 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [30] [3560/5278] eta: 1:12:39 lr: 1.3483823901616585e-05 loss: 0.0354 (0.0390) loss_seg: 0.0386 (0.0417) loss_lansim: 0.0816 (0.0828) loss_contra: 0.0000 (0.0018) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [30] [3570/5278] eta: 1:12:14 lr: 1.3481358275577719e-05 loss: 0.0348 (0.0390) loss_seg: 0.0383 (0.0418) loss_lansim: 0.0817 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.5186 data: 0.0025 max mem: 31671 Epoch: [30] [3580/5278] eta: 1:11:48 lr: 1.3478892599433166e-05 loss: 0.0346 (0.0390) loss_seg: 0.0379 (0.0417) loss_lansim: 0.0828 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.5174 data: 0.0025 max mem: 31671 Epoch: [30] [3590/5278] eta: 1:11:22 lr: 1.3476426873171708e-05 loss: 0.0339 (0.0390) loss_seg: 0.0369 (0.0417) loss_lansim: 0.0828 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.5120 data: 0.0025 max mem: 31671 Epoch: [30] [3600/5278] eta: 1:10:57 lr: 1.3473961096782146e-05 loss: 0.0339 (0.0391) loss_seg: 0.0369 (0.0418) loss_lansim: 0.0825 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.5099 data: 0.0024 max mem: 31671 Epoch: [30] [3610/5278] eta: 1:10:31 lr: 1.3471495270253264e-05 loss: 0.0339 (0.0390) loss_seg: 0.0364 (0.0418) loss_lansim: 0.0827 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5106 data: 0.0024 max mem: 31671 Epoch: [30] [3620/5278] eta: 1:10:06 lr: 1.3469029393573856e-05 loss: 0.0333 (0.0391) loss_seg: 0.0359 (0.0418) loss_lansim: 0.0823 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.5061 data: 0.0025 max mem: 31671 Epoch: [30] [3630/5278] eta: 1:09:40 lr: 1.3466563466732687e-05 loss: 0.0333 (0.0391) loss_seg: 0.0363 (0.0418) loss_lansim: 0.0823 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.4993 data: 0.0024 max mem: 31671 Epoch: [30] [3640/5278] eta: 1:09:14 lr: 1.3464097489718533e-05 loss: 0.0328 (0.0391) loss_seg: 0.0357 (0.0418) loss_lansim: 0.0823 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.5034 data: 0.0025 max mem: 31671 Epoch: [30] [3650/5278] eta: 1:08:49 lr: 1.3461631462520165e-05 loss: 0.0343 (0.0391) loss_seg: 0.0364 (0.0418) loss_lansim: 0.0820 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.4935 data: 0.0024 max mem: 31671 Epoch: [30] [3660/5278] eta: 1:08:23 lr: 1.3459165385126351e-05 loss: 0.0368 (0.0391) loss_seg: 0.0388 (0.0418) loss_lansim: 0.0825 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.4942 data: 0.0024 max mem: 31671 Epoch: [30] [3670/5278] eta: 1:07:58 lr: 1.345669925752584e-05 loss: 0.0357 (0.0391) loss_seg: 0.0386 (0.0418) loss_lansim: 0.0823 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.4906 data: 0.0024 max mem: 31671 Epoch: [30] [3680/5278] eta: 1:07:32 lr: 1.3454233079707392e-05 loss: 0.0354 (0.0391) loss_seg: 0.0382 (0.0418) loss_lansim: 0.0819 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.4917 data: 0.0024 max mem: 31671 Epoch: [30] [3690/5278] eta: 1:07:07 lr: 1.3451766851659752e-05 loss: 0.0368 (0.0391) loss_seg: 0.0394 (0.0418) loss_lansim: 0.0819 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.4908 data: 0.0024 max mem: 31671 Epoch: [30] [3700/5278] eta: 1:06:41 lr: 1.344930057337167e-05 loss: 0.0363 (0.0391) loss_seg: 0.0388 (0.0418) loss_lansim: 0.0819 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.4960 data: 0.0024 max mem: 31671 Epoch: [30] [3710/5278] eta: 1:06:16 lr: 1.3446834244831888e-05 loss: 0.0363 (0.0391) loss_seg: 0.0390 (0.0418) loss_lansim: 0.0818 (0.0828) loss_contra: 0.0000 (0.0017) time: 2.5009 data: 0.0024 max mem: 31671 Epoch: [30] [3720/5278] eta: 1:05:50 lr: 1.3444367866029129e-05 loss: 0.0363 (0.0391) loss_seg: 0.0394 (0.0419) loss_lansim: 0.0830 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5031 data: 0.0025 max mem: 31671 Epoch: [30] [3730/5278] eta: 1:05:25 lr: 1.344190143695213e-05 loss: 0.0354 (0.0391) loss_seg: 0.0384 (0.0418) loss_lansim: 0.0836 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5017 data: 0.0025 max mem: 31671 Epoch: [30] [3740/5278] eta: 1:04:59 lr: 1.3439434957589617e-05 loss: 0.0370 (0.0392) loss_seg: 0.0406 (0.0419) loss_lansim: 0.0839 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5042 data: 0.0025 max mem: 31671 Epoch: [30] [3750/5278] eta: 1:04:34 lr: 1.3436968427930313e-05 loss: 0.0357 (0.0391) loss_seg: 0.0390 (0.0419) loss_lansim: 0.0839 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [30] [3760/5278] eta: 1:04:09 lr: 1.3434501847962924e-05 loss: 0.0354 (0.0391) loss_seg: 0.0382 (0.0419) loss_lansim: 0.0839 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [30] [3770/5278] eta: 1:03:44 lr: 1.3432035217676167e-05 loss: 0.0354 (0.0392) loss_seg: 0.0384 (0.0419) loss_lansim: 0.0839 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5270 data: 0.0025 max mem: 31671 Epoch: [30] [3780/5278] eta: 1:03:18 lr: 1.3429568537058748e-05 loss: 0.0369 (0.0392) loss_seg: 0.0390 (0.0419) loss_lansim: 0.0836 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5247 data: 0.0025 max mem: 31671 Epoch: [30] [3790/5278] eta: 1:02:53 lr: 1.342710180609937e-05 loss: 0.0356 (0.0392) loss_seg: 0.0384 (0.0419) loss_lansim: 0.0842 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5336 data: 0.0025 max mem: 31671 Epoch: [30] [3800/5278] eta: 1:02:27 lr: 1.3424635024786723e-05 loss: 0.0356 (0.0393) loss_seg: 0.0384 (0.0420) loss_lansim: 0.0842 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [30] [3810/5278] eta: 1:02:02 lr: 1.34221681931095e-05 loss: 0.0369 (0.0393) loss_seg: 0.0389 (0.0420) loss_lansim: 0.0848 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [30] [3820/5278] eta: 1:01:37 lr: 1.3419701311056384e-05 loss: 0.0355 (0.0393) loss_seg: 0.0386 (0.0420) loss_lansim: 0.0853 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5290 data: 0.0024 max mem: 31671 Epoch: [30] [3830/5278] eta: 1:01:11 lr: 1.3417234378616073e-05 loss: 0.0374 (0.0393) loss_seg: 0.0406 (0.0420) loss_lansim: 0.0853 (0.0829) loss_contra: 0.0000 (0.0017) time: 2.5299 data: 0.0024 max mem: 31671 Epoch: [30] [3840/5278] eta: 1:00:46 lr: 1.3414767395777222e-05 loss: 0.0368 (0.0393) loss_seg: 0.0389 (0.0420) loss_lansim: 0.0849 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5304 data: 0.0023 max mem: 31671 Epoch: [30] [3850/5278] eta: 1:00:20 lr: 1.3412300362528516e-05 loss: 0.0369 (0.0393) loss_seg: 0.0399 (0.0420) loss_lansim: 0.0855 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5275 data: 0.0024 max mem: 31671 Epoch: [30] [3860/5278] eta: 0:59:55 lr: 1.3409833278858617e-05 loss: 0.0374 (0.0393) loss_seg: 0.0404 (0.0420) loss_lansim: 0.0855 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5195 data: 0.0024 max mem: 31671 Epoch: [30] [3870/5278] eta: 0:59:29 lr: 1.3407366144756193e-05 loss: 0.0368 (0.0393) loss_seg: 0.0397 (0.0420) loss_lansim: 0.0859 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5159 data: 0.0024 max mem: 31671 Epoch: [30] [3880/5278] eta: 0:59:04 lr: 1.3404898960209892e-05 loss: 0.0368 (0.0393) loss_seg: 0.0397 (0.0420) loss_lansim: 0.0865 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5219 data: 0.0024 max mem: 31671 Epoch: [30] [3890/5278] eta: 0:58:39 lr: 1.3402431725208373e-05 loss: 0.0368 (0.0393) loss_seg: 0.0397 (0.0420) loss_lansim: 0.0865 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5190 data: 0.0024 max mem: 31671 Epoch: [30] [3900/5278] eta: 0:58:13 lr: 1.3399964439740279e-05 loss: 0.0368 (0.0393) loss_seg: 0.0397 (0.0421) loss_lansim: 0.0865 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [30] [3910/5278] eta: 0:57:48 lr: 1.3397497103794262e-05 loss: 0.0358 (0.0393) loss_seg: 0.0386 (0.0421) loss_lansim: 0.0855 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5244 data: 0.0024 max mem: 31671 Epoch: [30] [3920/5278] eta: 0:57:22 lr: 1.3395029717358948e-05 loss: 0.0366 (0.0394) loss_seg: 0.0390 (0.0421) loss_lansim: 0.0850 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5210 data: 0.0024 max mem: 31671 Epoch: [30] [3930/5278] eta: 0:56:57 lr: 1.3392562280422973e-05 loss: 0.0339 (0.0393) loss_seg: 0.0358 (0.0420) loss_lansim: 0.0849 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5210 data: 0.0025 max mem: 31671 Epoch: [30] [3940/5278] eta: 0:56:31 lr: 1.3390094792974968e-05 loss: 0.0339 (0.0393) loss_seg: 0.0358 (0.0420) loss_lansim: 0.0826 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5150 data: 0.0025 max mem: 31671 Epoch: [30] [3950/5278] eta: 0:56:06 lr: 1.3387627255003557e-05 loss: 0.0339 (0.0393) loss_seg: 0.0358 (0.0420) loss_lansim: 0.0813 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5069 data: 0.0025 max mem: 31671 Epoch: [30] [3960/5278] eta: 0:55:40 lr: 1.338515966649736e-05 loss: 0.0339 (0.0393) loss_seg: 0.0358 (0.0421) loss_lansim: 0.0811 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5101 data: 0.0025 max mem: 31671 Epoch: [30] [3970/5278] eta: 0:55:15 lr: 1.3382692027444978e-05 loss: 0.0346 (0.0393) loss_seg: 0.0373 (0.0421) loss_lansim: 0.0811 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5028 data: 0.0025 max mem: 31671 Epoch: [30] [3980/5278] eta: 0:54:49 lr: 1.3380224337835032e-05 loss: 0.0350 (0.0394) loss_seg: 0.0374 (0.0421) loss_lansim: 0.0812 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5009 data: 0.0025 max mem: 31671 Epoch: [30] [3990/5278] eta: 0:54:24 lr: 1.337775659765612e-05 loss: 0.0350 (0.0393) loss_seg: 0.0374 (0.0421) loss_lansim: 0.0813 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5074 data: 0.0025 max mem: 31671 Epoch: [30] [4000/5278] eta: 0:53:59 lr: 1.3375288806896846e-05 loss: 0.0339 (0.0393) loss_seg: 0.0368 (0.0420) loss_lansim: 0.0813 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5193 data: 0.0025 max mem: 31671 Epoch: [30] [4010/5278] eta: 0:53:34 lr: 1.3372820965545796e-05 loss: 0.0346 (0.0393) loss_seg: 0.0373 (0.0420) loss_lansim: 0.0818 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5161 data: 0.0025 max mem: 31671 Epoch: [30] [4020/5278] eta: 0:53:08 lr: 1.337035307359156e-05 loss: 0.0346 (0.0393) loss_seg: 0.0373 (0.0420) loss_lansim: 0.0818 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [30] [4030/5278] eta: 0:52:43 lr: 1.3367885131022726e-05 loss: 0.0356 (0.0394) loss_seg: 0.0376 (0.0421) loss_lansim: 0.0818 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [30] [4040/5278] eta: 0:52:18 lr: 1.3365417137827877e-05 loss: 0.0350 (0.0394) loss_seg: 0.0374 (0.0421) loss_lansim: 0.0816 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5364 data: 0.0025 max mem: 31671 Epoch: [30] [4050/5278] eta: 0:51:52 lr: 1.3362949093995573e-05 loss: 0.0346 (0.0394) loss_seg: 0.0371 (0.0421) loss_lansim: 0.0820 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5305 data: 0.0024 max mem: 31671 Epoch: [30] [4060/5278] eta: 0:51:27 lr: 1.3360480999514391e-05 loss: 0.0341 (0.0394) loss_seg: 0.0366 (0.0421) loss_lansim: 0.0820 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5274 data: 0.0024 max mem: 31671 Epoch: [30] [4070/5278] eta: 0:51:01 lr: 1.3358012854372897e-05 loss: 0.0331 (0.0394) loss_seg: 0.0351 (0.0421) loss_lansim: 0.0819 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5337 data: 0.0024 max mem: 31671 Epoch: [30] [4080/5278] eta: 0:50:36 lr: 1.3355544658559651e-05 loss: 0.0321 (0.0393) loss_seg: 0.0342 (0.0421) loss_lansim: 0.0816 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5377 data: 0.0024 max mem: 31671 Epoch: [30] [4090/5278] eta: 0:50:11 lr: 1.3353076412063203e-05 loss: 0.0323 (0.0393) loss_seg: 0.0344 (0.0421) loss_lansim: 0.0816 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5347 data: 0.0024 max mem: 31671 Epoch: [30] [4100/5278] eta: 0:49:45 lr: 1.3350608114872102e-05 loss: 0.0326 (0.0393) loss_seg: 0.0344 (0.0420) loss_lansim: 0.0819 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [30] [4110/5278] eta: 0:49:20 lr: 1.3348139766974897e-05 loss: 0.0320 (0.0393) loss_seg: 0.0341 (0.0421) loss_lansim: 0.0825 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5254 data: 0.0024 max mem: 31671 Epoch: [30] [4120/5278] eta: 0:48:55 lr: 1.3345671368360127e-05 loss: 0.0331 (0.0393) loss_seg: 0.0355 (0.0421) loss_lansim: 0.0822 (0.0830) loss_contra: 0.0000 (0.0017) time: 2.5301 data: 0.0024 max mem: 31671 Epoch: [30] [4130/5278] eta: 0:48:29 lr: 1.3343202919016318e-05 loss: 0.0323 (0.0393) loss_seg: 0.0341 (0.0421) loss_lansim: 0.0826 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.5239 data: 0.0024 max mem: 31671 Epoch: [30] [4140/5278] eta: 0:48:04 lr: 1.3340734418932008e-05 loss: 0.0336 (0.0393) loss_seg: 0.0355 (0.0421) loss_lansim: 0.0837 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.5215 data: 0.0024 max mem: 31671 Epoch: [30] [4150/5278] eta: 0:47:39 lr: 1.333826586809572e-05 loss: 0.0343 (0.0393) loss_seg: 0.0358 (0.0420) loss_lansim: 0.0847 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.5402 data: 0.0024 max mem: 31671 Epoch: [30] [4160/5278] eta: 0:47:14 lr: 1.3335797266495978e-05 loss: 0.0326 (0.0393) loss_seg: 0.0341 (0.0420) loss_lansim: 0.0839 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.5486 data: 0.0024 max mem: 31671 Epoch: [30] [4170/5278] eta: 0:46:48 lr: 1.3333328614121287e-05 loss: 0.0353 (0.0393) loss_seg: 0.0383 (0.0420) loss_lansim: 0.0847 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.5524 data: 0.0025 max mem: 31671 Epoch: [30] [4180/5278] eta: 0:46:23 lr: 1.3330859910960161e-05 loss: 0.0364 (0.0393) loss_seg: 0.0393 (0.0420) loss_lansim: 0.0863 (0.0831) loss_contra: 0.0000 (0.0017) time: 2.5436 data: 0.0025 max mem: 31671 Epoch: [30] [4190/5278] eta: 0:45:57 lr: 1.3328391157001106e-05 loss: 0.0348 (0.0393) loss_seg: 0.0376 (0.0420) loss_lansim: 0.0866 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5371 data: 0.0025 max mem: 31671 Epoch: [30] [4200/5278] eta: 0:45:32 lr: 1.3325922352232623e-05 loss: 0.0358 (0.0393) loss_seg: 0.0381 (0.0420) loss_lansim: 0.0856 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5362 data: 0.0025 max mem: 31671 Epoch: [30] [4210/5278] eta: 0:45:07 lr: 1.3323453496643207e-05 loss: 0.0358 (0.0393) loss_seg: 0.0381 (0.0420) loss_lansim: 0.0863 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5429 data: 0.0025 max mem: 31671 Epoch: [30] [4220/5278] eta: 0:44:41 lr: 1.3320984590221341e-05 loss: 0.0324 (0.0393) loss_seg: 0.0354 (0.0420) loss_lansim: 0.0866 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5341 data: 0.0025 max mem: 31671 Epoch: [30] [4230/5278] eta: 0:44:16 lr: 1.3318515632955516e-05 loss: 0.0324 (0.0393) loss_seg: 0.0354 (0.0420) loss_lansim: 0.0858 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5441 data: 0.0025 max mem: 31671 Epoch: [30] [4240/5278] eta: 0:43:51 lr: 1.3316046624834211e-05 loss: 0.0332 (0.0393) loss_seg: 0.0364 (0.0420) loss_lansim: 0.0858 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5463 data: 0.0025 max mem: 31671 Epoch: [30] [4250/5278] eta: 0:43:26 lr: 1.3313577565845906e-05 loss: 0.0335 (0.0393) loss_seg: 0.0366 (0.0420) loss_lansim: 0.0858 (0.0832) loss_contra: 0.0000 (0.0016) time: 2.5419 data: 0.0025 max mem: 31671 Epoch: [30] [4260/5278] eta: 0:43:00 lr: 1.331110845597906e-05 loss: 0.0348 (0.0393) loss_seg: 0.0381 (0.0420) loss_lansim: 0.0858 (0.0832) loss_contra: 0.0000 (0.0016) time: 2.5365 data: 0.0025 max mem: 31671 Epoch: [30] [4270/5278] eta: 0:42:35 lr: 1.3308639295222144e-05 loss: 0.0347 (0.0393) loss_seg: 0.0366 (0.0420) loss_lansim: 0.0857 (0.0831) loss_contra: 0.0000 (0.0016) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [30] [4280/5278] eta: 0:42:09 lr: 1.3306170083563616e-05 loss: 0.0348 (0.0393) loss_seg: 0.0366 (0.0420) loss_lansim: 0.0856 (0.0832) loss_contra: 0.0000 (0.0016) time: 2.5377 data: 0.0025 max mem: 31671 Epoch: [30] [4290/5278] eta: 0:41:44 lr: 1.330370082099194e-05 loss: 0.0364 (0.0393) loss_seg: 0.0380 (0.0420) loss_lansim: 0.0849 (0.0832) loss_contra: 0.0000 (0.0016) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [30] [4300/5278] eta: 0:41:18 lr: 1.330123150749555e-05 loss: 0.0377 (0.0393) loss_seg: 0.0383 (0.0420) loss_lansim: 0.0857 (0.0832) loss_contra: 0.0000 (0.0016) time: 2.5277 data: 0.0025 max mem: 31671 Epoch: [30] [4310/5278] eta: 0:40:53 lr: 1.32987621430629e-05 loss: 0.0354 (0.0393) loss_seg: 0.0375 (0.0420) loss_lansim: 0.0845 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5259 data: 0.0025 max mem: 31671 Epoch: [30] [4320/5278] eta: 0:40:28 lr: 1.3296292727682432e-05 loss: 0.0367 (0.0393) loss_seg: 0.0382 (0.0420) loss_lansim: 0.0843 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5267 data: 0.0025 max mem: 31671 Epoch: [30] [4330/5278] eta: 0:40:02 lr: 1.3293823261342581e-05 loss: 0.0359 (0.0393) loss_seg: 0.0380 (0.0420) loss_lansim: 0.0843 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [30] [4340/5278] eta: 0:39:37 lr: 1.329135374403177e-05 loss: 0.0354 (0.0393) loss_seg: 0.0370 (0.0420) loss_lansim: 0.0843 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5154 data: 0.0025 max mem: 31671 Epoch: [30] [4350/5278] eta: 0:39:12 lr: 1.3288884175738429e-05 loss: 0.0343 (0.0392) loss_seg: 0.0365 (0.0419) loss_lansim: 0.0826 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5126 data: 0.0025 max mem: 31671 Epoch: [30] [4360/5278] eta: 0:38:46 lr: 1.3286414556450973e-05 loss: 0.0343 (0.0392) loss_seg: 0.0350 (0.0419) loss_lansim: 0.0829 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5064 data: 0.0025 max mem: 31671 Epoch: [30] [4370/5278] eta: 0:38:21 lr: 1.3283944886157828e-05 loss: 0.0343 (0.0392) loss_seg: 0.0367 (0.0419) loss_lansim: 0.0832 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5130 data: 0.0025 max mem: 31671 Epoch: [30] [4380/5278] eta: 0:37:55 lr: 1.3281475164847392e-05 loss: 0.0343 (0.0392) loss_seg: 0.0365 (0.0419) loss_lansim: 0.0826 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5145 data: 0.0025 max mem: 31671 Epoch: [30] [4390/5278] eta: 0:37:30 lr: 1.3279005392508073e-05 loss: 0.0333 (0.0392) loss_seg: 0.0350 (0.0419) loss_lansim: 0.0826 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [30] [4400/5278] eta: 0:37:05 lr: 1.3276535569128273e-05 loss: 0.0327 (0.0392) loss_seg: 0.0346 (0.0420) loss_lansim: 0.0822 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [30] [4410/5278] eta: 0:36:39 lr: 1.3274065694696392e-05 loss: 0.0343 (0.0392) loss_seg: 0.0365 (0.0419) loss_lansim: 0.0822 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [30] [4420/5278] eta: 0:36:14 lr: 1.3271595769200806e-05 loss: 0.0346 (0.0392) loss_seg: 0.0372 (0.0419) loss_lansim: 0.0822 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5160 data: 0.0025 max mem: 31671 Epoch: [30] [4430/5278] eta: 0:35:49 lr: 1.3269125792629911e-05 loss: 0.0350 (0.0392) loss_seg: 0.0377 (0.0419) loss_lansim: 0.0815 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5279 data: 0.0025 max mem: 31671 Epoch: [30] [4440/5278] eta: 0:35:23 lr: 1.3266655764972077e-05 loss: 0.0352 (0.0392) loss_seg: 0.0378 (0.0419) loss_lansim: 0.0810 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5370 data: 0.0025 max mem: 31671 Epoch: [30] [4450/5278] eta: 0:34:58 lr: 1.3264185686215688e-05 loss: 0.0352 (0.0392) loss_seg: 0.0378 (0.0419) loss_lansim: 0.0815 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5307 data: 0.0024 max mem: 31671 Epoch: [30] [4460/5278] eta: 0:34:33 lr: 1.3261715556349117e-05 loss: 0.0364 (0.0392) loss_seg: 0.0386 (0.0419) loss_lansim: 0.0815 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5367 data: 0.0025 max mem: 31671 Epoch: [30] [4470/5278] eta: 0:34:07 lr: 1.3259245375360712e-05 loss: 0.0364 (0.0392) loss_seg: 0.0386 (0.0419) loss_lansim: 0.0801 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [30] [4480/5278] eta: 0:33:42 lr: 1.3256775143238845e-05 loss: 0.0364 (0.0392) loss_seg: 0.0386 (0.0419) loss_lansim: 0.0834 (0.0832) loss_contra: 0.0000 (0.0016) time: 2.5245 data: 0.0024 max mem: 31671 Epoch: [30] [4490/5278] eta: 0:33:16 lr: 1.3254304859971864e-05 loss: 0.0364 (0.0392) loss_seg: 0.0392 (0.0419) loss_lansim: 0.0820 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5212 data: 0.0024 max mem: 31671 Epoch: [30] [4500/5278] eta: 0:32:51 lr: 1.3251834525548128e-05 loss: 0.0366 (0.0392) loss_seg: 0.0392 (0.0419) loss_lansim: 0.0841 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5155 data: 0.0024 max mem: 31671 Epoch: [30] [4510/5278] eta: 0:32:26 lr: 1.3249364139955973e-05 loss: 0.0364 (0.0393) loss_seg: 0.0386 (0.0420) loss_lansim: 0.0841 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5203 data: 0.0024 max mem: 31671 Epoch: [30] [4520/5278] eta: 0:32:00 lr: 1.3246893703183735e-05 loss: 0.0373 (0.0393) loss_seg: 0.0402 (0.0420) loss_lansim: 0.0829 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5247 data: 0.0024 max mem: 31671 Epoch: [30] [4530/5278] eta: 0:31:35 lr: 1.3244423215219753e-05 loss: 0.0373 (0.0393) loss_seg: 0.0402 (0.0420) loss_lansim: 0.0842 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.5085 data: 0.0025 max mem: 31671 Epoch: [30] [4540/5278] eta: 0:31:09 lr: 1.3241952676052364e-05 loss: 0.0370 (0.0393) loss_seg: 0.0401 (0.0420) loss_lansim: 0.0825 (0.0832) loss_contra: 0.0000 (0.0017) time: 2.4993 data: 0.0024 max mem: 31671 Epoch: [30] [4550/5278] eta: 0:30:44 lr: 1.3239482085669874e-05 loss: 0.0378 (0.0393) loss_seg: 0.0408 (0.0420) loss_lansim: 0.0825 (0.0832) loss_contra: 0.0001 (0.0017) time: 2.5079 data: 0.0024 max mem: 31671 Epoch: [30] [4560/5278] eta: 0:30:19 lr: 1.3237011444060615e-05 loss: 0.0386 (0.0393) loss_seg: 0.0412 (0.0420) loss_lansim: 0.0824 (0.0832) loss_contra: 0.0001 (0.0017) time: 2.5009 data: 0.0024 max mem: 31671 Epoch: [30] [4570/5278] eta: 0:29:53 lr: 1.3234540751212895e-05 loss: 0.0378 (0.0393) loss_seg: 0.0401 (0.0420) loss_lansim: 0.0825 (0.0832) loss_contra: 0.0001 (0.0017) time: 2.5063 data: 0.0024 max mem: 31671 Epoch: [30] [4580/5278] eta: 0:29:28 lr: 1.3232070007115032e-05 loss: 0.0378 (0.0393) loss_seg: 0.0398 (0.0420) loss_lansim: 0.0820 (0.0832) loss_contra: 0.0001 (0.0017) time: 2.5052 data: 0.0025 max mem: 31671 Epoch: [30] [4590/5278] eta: 0:29:03 lr: 1.3229599211755315e-05 loss: 0.0379 (0.0393) loss_seg: 0.0398 (0.0420) loss_lansim: 0.0825 (0.0833) loss_contra: 0.0001 (0.0017) time: 2.5176 data: 0.0025 max mem: 31671 Epoch: [30] [4600/5278] eta: 0:28:37 lr: 1.3227128365122052e-05 loss: 0.0366 (0.0393) loss_seg: 0.0391 (0.0420) loss_lansim: 0.0824 (0.0833) loss_contra: 0.0001 (0.0017) time: 2.5294 data: 0.0025 max mem: 31671 Epoch: [30] [4610/5278] eta: 0:28:12 lr: 1.3224657467203532e-05 loss: 0.0373 (0.0393) loss_seg: 0.0391 (0.0420) loss_lansim: 0.0824 (0.0833) loss_contra: 0.0001 (0.0017) time: 2.5246 data: 0.0025 max mem: 31671 Epoch: [30] [4620/5278] eta: 0:27:47 lr: 1.3222186517988052e-05 loss: 0.0363 (0.0393) loss_seg: 0.0383 (0.0420) loss_lansim: 0.0838 (0.0833) loss_contra: 0.0001 (0.0017) time: 2.5303 data: 0.0025 max mem: 31671 Epoch: [30] [4630/5278] eta: 0:27:21 lr: 1.3219715517463882e-05 loss: 0.0341 (0.0393) loss_seg: 0.0369 (0.0420) loss_lansim: 0.0838 (0.0833) loss_contra: 0.0001 (0.0017) time: 2.5417 data: 0.0025 max mem: 31671 Epoch: [30] [4640/5278] eta: 0:26:56 lr: 1.3217244465619308e-05 loss: 0.0365 (0.0393) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0854 (0.0833) loss_contra: 0.0001 (0.0017) time: 2.5384 data: 0.0025 max mem: 31671 Epoch: [30] [4650/5278] eta: 0:26:31 lr: 1.32147733624426e-05 loss: 0.0341 (0.0393) loss_seg: 0.0369 (0.0420) loss_lansim: 0.0860 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.5278 data: 0.0025 max mem: 31671 Epoch: [30] [4660/5278] eta: 0:26:05 lr: 1.3212302207922034e-05 loss: 0.0373 (0.0393) loss_seg: 0.0373 (0.0420) loss_lansim: 0.0849 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.5271 data: 0.0025 max mem: 31671 Epoch: [30] [4670/5278] eta: 0:25:40 lr: 1.320983100204586e-05 loss: 0.0379 (0.0393) loss_seg: 0.0401 (0.0421) loss_lansim: 0.0855 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [30] [4680/5278] eta: 0:25:15 lr: 1.3207359744802341e-05 loss: 0.0379 (0.0393) loss_seg: 0.0401 (0.0420) loss_lansim: 0.0857 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.5266 data: 0.0025 max mem: 31671 Epoch: [30] [4690/5278] eta: 0:24:49 lr: 1.320488843617973e-05 loss: 0.0379 (0.0394) loss_seg: 0.0411 (0.0421) loss_lansim: 0.0855 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.5204 data: 0.0025 max mem: 31671 Epoch: [30] [4700/5278] eta: 0:24:24 lr: 1.3202417076166274e-05 loss: 0.0386 (0.0394) loss_seg: 0.0419 (0.0421) loss_lansim: 0.0851 (0.0833) loss_contra: 0.0000 (0.0018) time: 2.5188 data: 0.0024 max mem: 31671 Epoch: [30] [4710/5278] eta: 0:23:59 lr: 1.319994566475022e-05 loss: 0.0386 (0.0394) loss_seg: 0.0419 (0.0421) loss_lansim: 0.0855 (0.0833) loss_contra: 0.0000 (0.0018) time: 2.5293 data: 0.0024 max mem: 31671 Epoch: [30] [4720/5278] eta: 0:23:33 lr: 1.31974742019198e-05 loss: 0.0386 (0.0394) loss_seg: 0.0419 (0.0421) loss_lansim: 0.0849 (0.0833) loss_contra: 0.0000 (0.0018) time: 2.5178 data: 0.0024 max mem: 31671 Epoch: [30] [4730/5278] eta: 0:23:08 lr: 1.3195002687663241e-05 loss: 0.0394 (0.0394) loss_seg: 0.0428 (0.0421) loss_lansim: 0.0860 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5125 data: 0.0024 max mem: 31671 Epoch: [30] [4740/5278] eta: 0:22:42 lr: 1.3192531121968776e-05 loss: 0.0382 (0.0394) loss_seg: 0.0411 (0.0421) loss_lansim: 0.0858 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5068 data: 0.0024 max mem: 31671 Epoch: [30] [4750/5278] eta: 0:22:17 lr: 1.319005950482463e-05 loss: 0.0383 (0.0394) loss_seg: 0.0415 (0.0421) loss_lansim: 0.0843 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5117 data: 0.0024 max mem: 31671 Epoch: [30] [4760/5278] eta: 0:21:52 lr: 1.3187587836219011e-05 loss: 0.0359 (0.0394) loss_seg: 0.0384 (0.0421) loss_lansim: 0.0858 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5218 data: 0.0024 max mem: 31671 Epoch: [30] [4770/5278] eta: 0:21:26 lr: 1.3185116116140137e-05 loss: 0.0347 (0.0394) loss_seg: 0.0376 (0.0421) loss_lansim: 0.0858 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5209 data: 0.0024 max mem: 31671 Epoch: [30] [4780/5278] eta: 0:21:01 lr: 1.3182644344576207e-05 loss: 0.0340 (0.0394) loss_seg: 0.0368 (0.0421) loss_lansim: 0.0859 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [30] [4790/5278] eta: 0:20:36 lr: 1.3180172521515436e-05 loss: 0.0338 (0.0394) loss_seg: 0.0349 (0.0421) loss_lansim: 0.0859 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5131 data: 0.0025 max mem: 31671 Epoch: [30] [4800/5278] eta: 0:20:10 lr: 1.3177700646946e-05 loss: 0.0326 (0.0393) loss_seg: 0.0345 (0.0421) loss_lansim: 0.0859 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5098 data: 0.0025 max mem: 31671 Epoch: [30] [4810/5278] eta: 0:19:45 lr: 1.3175228720856103e-05 loss: 0.0330 (0.0393) loss_seg: 0.0345 (0.0420) loss_lansim: 0.0858 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5003 data: 0.0024 max mem: 31671 Epoch: [30] [4820/5278] eta: 0:19:20 lr: 1.3172756743233927e-05 loss: 0.0313 (0.0393) loss_seg: 0.0329 (0.0420) loss_lansim: 0.0858 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5014 data: 0.0025 max mem: 31671 Epoch: [30] [4830/5278] eta: 0:18:54 lr: 1.3170284714067658e-05 loss: 0.0311 (0.0393) loss_seg: 0.0324 (0.0420) loss_lansim: 0.0843 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5006 data: 0.0024 max mem: 31671 Epoch: [30] [4840/5278] eta: 0:18:29 lr: 1.3167812633345458e-05 loss: 0.0320 (0.0393) loss_seg: 0.0341 (0.0420) loss_lansim: 0.0842 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5035 data: 0.0024 max mem: 31671 Epoch: [30] [4850/5278] eta: 0:18:03 lr: 1.3165340501055506e-05 loss: 0.0316 (0.0393) loss_seg: 0.0335 (0.0420) loss_lansim: 0.0842 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.4952 data: 0.0024 max mem: 31671 Epoch: [30] [4860/5278] eta: 0:17:38 lr: 1.3162868317185966e-05 loss: 0.0324 (0.0393) loss_seg: 0.0345 (0.0420) loss_lansim: 0.0840 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.4921 data: 0.0024 max mem: 31671 Epoch: [30] [4870/5278] eta: 0:17:13 lr: 1.3160396081725004e-05 loss: 0.0330 (0.0393) loss_seg: 0.0347 (0.0420) loss_lansim: 0.0828 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5061 data: 0.0024 max mem: 31671 Epoch: [30] [4880/5278] eta: 0:16:47 lr: 1.3157923794660762e-05 loss: 0.0339 (0.0393) loss_seg: 0.0348 (0.0420) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5084 data: 0.0023 max mem: 31671 Epoch: [30] [4890/5278] eta: 0:16:22 lr: 1.3155451455981394e-05 loss: 0.0340 (0.0393) loss_seg: 0.0353 (0.0420) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0000 (0.0018) time: 2.5089 data: 0.0024 max mem: 31671 Epoch: [30] [4900/5278] eta: 0:15:57 lr: 1.3152979065675042e-05 loss: 0.0340 (0.0393) loss_seg: 0.0353 (0.0421) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5087 data: 0.0023 max mem: 31671 Epoch: [30] [4910/5278] eta: 0:15:31 lr: 1.315050662372985e-05 loss: 0.0323 (0.0393) loss_seg: 0.0351 (0.0420) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5095 data: 0.0024 max mem: 31671 Epoch: [30] [4920/5278] eta: 0:15:06 lr: 1.3148034130133954e-05 loss: 0.0339 (0.0393) loss_seg: 0.0356 (0.0420) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5105 data: 0.0023 max mem: 31671 Epoch: [30] [4930/5278] eta: 0:14:41 lr: 1.314556158487547e-05 loss: 0.0341 (0.0393) loss_seg: 0.0356 (0.0420) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5164 data: 0.0023 max mem: 31671 Epoch: [30] [4940/5278] eta: 0:14:15 lr: 1.3143088987942531e-05 loss: 0.0328 (0.0393) loss_seg: 0.0352 (0.0420) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5192 data: 0.0023 max mem: 31671 Epoch: [30] [4950/5278] eta: 0:13:50 lr: 1.3140616339323253e-05 loss: 0.0341 (0.0393) loss_seg: 0.0363 (0.0420) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0001 (0.0019) time: 2.5333 data: 0.0024 max mem: 31671 Epoch: [30] [4960/5278] eta: 0:13:25 lr: 1.3138143639005751e-05 loss: 0.0338 (0.0393) loss_seg: 0.0352 (0.0420) loss_lansim: 0.0823 (0.0834) loss_contra: 0.0001 (0.0019) time: 2.5360 data: 0.0024 max mem: 31671 Epoch: [30] [4970/5278] eta: 0:13:00 lr: 1.3135670886978126e-05 loss: 0.0339 (0.0393) loss_seg: 0.0352 (0.0420) loss_lansim: 0.0823 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5379 data: 0.0024 max mem: 31671 Epoch: [30] [4980/5278] eta: 0:12:34 lr: 1.3133198083228484e-05 loss: 0.0341 (0.0393) loss_seg: 0.0352 (0.0420) loss_lansim: 0.0825 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5340 data: 0.0024 max mem: 31671 Epoch: [30] [4990/5278] eta: 0:12:09 lr: 1.3130725227744923e-05 loss: 0.0328 (0.0393) loss_seg: 0.0350 (0.0420) loss_lansim: 0.0825 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5316 data: 0.0024 max mem: 31671 Epoch: [30] [5000/5278] eta: 0:11:44 lr: 1.3128252320515539e-05 loss: 0.0338 (0.0393) loss_seg: 0.0356 (0.0420) loss_lansim: 0.0825 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5309 data: 0.0024 max mem: 31671 Epoch: [30] [5010/5278] eta: 0:11:18 lr: 1.3125779361528407e-05 loss: 0.0344 (0.0393) loss_seg: 0.0359 (0.0420) loss_lansim: 0.0825 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5384 data: 0.0024 max mem: 31671 Epoch: [30] [5020/5278] eta: 0:10:53 lr: 1.3123306350771614e-05 loss: 0.0345 (0.0393) loss_seg: 0.0359 (0.0420) loss_lansim: 0.0821 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5429 data: 0.0024 max mem: 31671 Epoch: [30] [5030/5278] eta: 0:10:28 lr: 1.3120833288233238e-05 loss: 0.0341 (0.0393) loss_seg: 0.0359 (0.0420) loss_lansim: 0.0819 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5453 data: 0.0024 max mem: 31671 Epoch: [30] [5040/5278] eta: 0:10:02 lr: 1.3118360173901356e-05 loss: 0.0341 (0.0393) loss_seg: 0.0359 (0.0420) loss_lansim: 0.0819 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5373 data: 0.0024 max mem: 31671 Epoch: [30] [5050/5278] eta: 0:09:37 lr: 1.311588700776402e-05 loss: 0.0353 (0.0393) loss_seg: 0.0361 (0.0420) loss_lansim: 0.0821 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5251 data: 0.0024 max mem: 31671 Epoch: [30] [5060/5278] eta: 0:09:12 lr: 1.3113413789809298e-05 loss: 0.0354 (0.0393) loss_seg: 0.0378 (0.0420) loss_lansim: 0.0822 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5235 data: 0.0024 max mem: 31671 Epoch: [30] [5070/5278] eta: 0:08:46 lr: 1.3110940520025242e-05 loss: 0.0354 (0.0393) loss_seg: 0.0378 (0.0420) loss_lansim: 0.0825 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5178 data: 0.0024 max mem: 31671 Epoch: [30] [5080/5278] eta: 0:08:21 lr: 1.310846719839991e-05 loss: 0.0357 (0.0393) loss_seg: 0.0378 (0.0420) loss_lansim: 0.0828 (0.0834) loss_contra: 0.0001 (0.0019) time: 2.5113 data: 0.0024 max mem: 31671 Epoch: [30] [5090/5278] eta: 0:07:56 lr: 1.3105993824921337e-05 loss: 0.0377 (0.0393) loss_seg: 0.0405 (0.0420) loss_lansim: 0.0821 (0.0834) loss_contra: 0.0001 (0.0019) time: 2.5197 data: 0.0024 max mem: 31671 Epoch: [30] [5100/5278] eta: 0:07:30 lr: 1.3103520399577565e-05 loss: 0.0371 (0.0393) loss_seg: 0.0392 (0.0420) loss_lansim: 0.0825 (0.0834) loss_contra: 0.0001 (0.0019) time: 2.5241 data: 0.0023 max mem: 31671 Epoch: [30] [5110/5278] eta: 0:07:05 lr: 1.3101046922356627e-05 loss: 0.0374 (0.0393) loss_seg: 0.0392 (0.0420) loss_lansim: 0.0825 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5212 data: 0.0023 max mem: 31671 Epoch: [30] [5120/5278] eta: 0:06:40 lr: 1.3098573393246563e-05 loss: 0.0377 (0.0394) loss_seg: 0.0405 (0.0421) loss_lansim: 0.0843 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5266 data: 0.0023 max mem: 31671 Epoch: [30] [5130/5278] eta: 0:06:14 lr: 1.3096099812235379e-05 loss: 0.0376 (0.0394) loss_seg: 0.0397 (0.0421) loss_lansim: 0.0832 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5246 data: 0.0024 max mem: 31671 Epoch: [30] [5140/5278] eta: 0:05:49 lr: 1.3093626179311102e-05 loss: 0.0377 (0.0394) loss_seg: 0.0397 (0.0421) loss_lansim: 0.0832 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5317 data: 0.0024 max mem: 31671 Epoch: [30] [5150/5278] eta: 0:05:24 lr: 1.3091152494461746e-05 loss: 0.0364 (0.0393) loss_seg: 0.0373 (0.0420) loss_lansim: 0.0854 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5340 data: 0.0024 max mem: 31671 Epoch: [30] [5160/5278] eta: 0:04:58 lr: 1.3088678757675315e-05 loss: 0.0364 (0.0393) loss_seg: 0.0374 (0.0420) loss_lansim: 0.0832 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5274 data: 0.0024 max mem: 31671 Epoch: [30] [5170/5278] eta: 0:04:33 lr: 1.3086204968939822e-05 loss: 0.0364 (0.0393) loss_seg: 0.0373 (0.0420) loss_lansim: 0.0848 (0.0834) loss_contra: 0.0000 (0.0019) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [30] [5180/5278] eta: 0:04:08 lr: 1.308373112824325e-05 loss: 0.0362 (0.0393) loss_seg: 0.0374 (0.0420) loss_lansim: 0.0854 (0.0835) loss_contra: 0.0000 (0.0019) time: 2.5290 data: 0.0025 max mem: 31671 Epoch: [30] [5190/5278] eta: 0:03:42 lr: 1.3081257235573593e-05 loss: 0.0349 (0.0393) loss_seg: 0.0370 (0.0420) loss_lansim: 0.0854 (0.0835) loss_contra: 0.0000 (0.0019) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [30] [5200/5278] eta: 0:03:17 lr: 1.3078783290918844e-05 loss: 0.0340 (0.0393) loss_seg: 0.0364 (0.0420) loss_lansim: 0.0848 (0.0835) loss_contra: 0.0000 (0.0019) time: 2.5311 data: 0.0025 max mem: 31671 Epoch: [30] [5210/5278] eta: 0:02:52 lr: 1.3076309294266986e-05 loss: 0.0347 (0.0393) loss_seg: 0.0368 (0.0420) loss_lansim: 0.0848 (0.0835) loss_contra: 0.0000 (0.0019) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [30] [5220/5278] eta: 0:02:26 lr: 1.3073835245605986e-05 loss: 0.0347 (0.0393) loss_seg: 0.0356 (0.0420) loss_lansim: 0.0844 (0.0835) loss_contra: 0.0000 (0.0019) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [30] [5230/5278] eta: 0:02:01 lr: 1.3071361144923819e-05 loss: 0.0349 (0.0393) loss_seg: 0.0365 (0.0420) loss_lansim: 0.0854 (0.0835) loss_contra: 0.0000 (0.0018) time: 2.5285 data: 0.0025 max mem: 31671 Epoch: [30] [5240/5278] eta: 0:01:36 lr: 1.3068886992208448e-05 loss: 0.0347 (0.0394) loss_seg: 0.0364 (0.0420) loss_lansim: 0.0855 (0.0835) loss_contra: 0.0000 (0.0018) time: 2.5343 data: 0.0025 max mem: 31671 Epoch: [30] [5250/5278] eta: 0:01:10 lr: 1.306641278744784e-05 loss: 0.0349 (0.0393) loss_seg: 0.0368 (0.0420) loss_lansim: 0.0853 (0.0835) loss_contra: 0.0000 (0.0018) time: 2.5462 data: 0.0025 max mem: 31671 Epoch: [30] [5260/5278] eta: 0:00:45 lr: 1.3063938530629944e-05 loss: 0.0349 (0.0393) loss_seg: 0.0368 (0.0420) loss_lansim: 0.0854 (0.0835) loss_contra: 0.0000 (0.0019) time: 2.5553 data: 0.0025 max mem: 31671 Epoch: [30] [5270/5278] eta: 0:00:20 lr: 1.3061464221742706e-05 loss: 0.0351 (0.0393) loss_seg: 0.0376 (0.0420) loss_lansim: 0.0838 (0.0835) loss_contra: 0.0000 (0.0019) time: 2.5530 data: 0.0024 max mem: 31671 Epoch: [30] Total time: 3:42:47 Test: [ 0/2573] eta: 1:30:16 time: 2.1052 data: 1.9418 max mem: 31671 Test: [ 100/2573] eta: 0:06:35 time: 0.1404 data: 0.0012 max mem: 31671 Test: [ 200/2573] eta: 0:06:03 time: 0.1463 data: 0.0014 max mem: 31671 Test: [ 300/2573] eta: 0:05:38 time: 0.1408 data: 0.0014 max mem: 31671 Test: [ 400/2573] eta: 0:05:21 time: 0.1445 data: 0.0014 max mem: 31671 Test: [ 500/2573] eta: 0:05:05 time: 0.1457 data: 0.0014 max mem: 31671 Test: [ 600/2573] eta: 0:04:50 time: 0.1474 data: 0.0014 max mem: 31671 Test: [ 700/2573] eta: 0:04:36 time: 0.1505 data: 0.0014 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1485 data: 0.0014 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1480 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1462 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:37 time: 0.1458 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1481 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1460 data: 0.0018 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1424 data: 0.0017 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1457 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:22 time: 0.1446 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:08 time: 0.1454 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1447 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1416 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1417 data: 0.0014 max mem: 31671 Test: [2100/2573] eta: 0:01:09 time: 0.1472 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1409 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1460 data: 0.0015 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1438 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1464 data: 0.0015 max mem: 31671 Test: Total time: 0:06:15 Final results: precision@0.5 = 70.57 precision@0.6 = 66.22 precision@0.7 = 59.42 precision@0.8 = 48.33 precision@0.9 = 23.71 overall IoU = 59.75 mean IoU = 62.61 Average object IoU 0.6261051695546754 Overall IoU 59.747431118590775 Better epoch: 30 The best_performance is 59.747431118590775 Epoch: [31] [ 0/5278] eta: 5:39:45 lr: 1.3059484737134892e-05 loss: 0.0199 (0.0199) loss_seg: 0.0214 (0.0214) loss_lansim: 0.0870 (0.0870) loss_contra: 0.0000 (0.0000) time: 3.8623 data: 1.2809 max mem: 31671 Epoch: [31] [ 10/5278] eta: 3:55:29 lr: 1.3057010334492462e-05 loss: 0.0355 (0.0397) loss_seg: 0.0390 (0.0427) loss_lansim: 0.0828 (0.0804) loss_contra: 0.0000 (0.0003) time: 2.6821 data: 0.1184 max mem: 31671 Epoch: [31] [ 20/5278] eta: 3:47:37 lr: 1.3054535879746924e-05 loss: 0.0355 (0.0393) loss_seg: 0.0390 (0.0418) loss_lansim: 0.0838 (0.0831) loss_contra: 0.0000 (0.0021) time: 2.5975 data: 0.0630 max mem: 31671 Epoch: [31] [ 30/5278] eta: 3:46:52 lr: 1.3052061372886212e-05 loss: 0.0355 (0.0378) loss_seg: 0.0390 (0.0405) loss_lansim: 0.0838 (0.0833) loss_contra: 0.0000 (0.0017) time: 2.5938 data: 0.0435 max mem: 31671 Epoch: [31] [ 40/5278] eta: 3:44:00 lr: 1.3049586813898238e-05 loss: 0.0358 (0.0392) loss_seg: 0.0393 (0.0421) loss_lansim: 0.0838 (0.0828) loss_contra: 0.0000 (0.0014) time: 2.5660 data: 0.0335 max mem: 31671 Epoch: [31] [ 50/5278] eta: 3:43:53 lr: 1.3047112202770928e-05 loss: 0.0358 (0.0384) loss_seg: 0.0393 (0.0413) loss_lansim: 0.0838 (0.0830) loss_contra: 0.0000 (0.0012) time: 2.5695 data: 0.0274 max mem: 31671 Epoch: [31] [ 60/5278] eta: 3:44:08 lr: 1.3044637539492194e-05 loss: 0.0351 (0.0371) loss_seg: 0.0386 (0.0398) loss_lansim: 0.0838 (0.0831) loss_contra: 0.0000 (0.0013) time: 2.5773 data: 0.0233 max mem: 31671 Epoch: [31] [ 70/5278] eta: 3:42:45 lr: 1.3042162824049948e-05 loss: 0.0351 (0.0385) loss_seg: 0.0386 (0.0414) loss_lansim: 0.0839 (0.0841) loss_contra: 0.0000 (0.0011) time: 2.5662 data: 0.0203 max mem: 31671 Epoch: [31] [ 80/5278] eta: 3:41:44 lr: 1.3039688056432083e-05 loss: 0.0337 (0.0381) loss_seg: 0.0369 (0.0409) loss_lansim: 0.0840 (0.0844) loss_contra: 0.0000 (0.0010) time: 2.5596 data: 0.0181 max mem: 31671 Epoch: [31] [ 90/5278] eta: 3:39:58 lr: 1.3037213236626502e-05 loss: 0.0336 (0.0377) loss_seg: 0.0354 (0.0404) loss_lansim: 0.0840 (0.0843) loss_contra: 0.0000 (0.0009) time: 2.5440 data: 0.0164 max mem: 31671 Epoch: [31] [ 100/5278] eta: 3:39:28 lr: 1.3034738364621093e-05 loss: 0.0337 (0.0379) loss_seg: 0.0354 (0.0407) loss_lansim: 0.0847 (0.0852) loss_contra: 0.0000 (0.0015) time: 2.5299 data: 0.0024 max mem: 31671 Epoch: [31] [ 110/5278] eta: 3:38:55 lr: 1.3032263440403752e-05 loss: 0.0337 (0.0383) loss_seg: 0.0354 (0.0411) loss_lansim: 0.0847 (0.0849) loss_contra: 0.0000 (0.0014) time: 2.5262 data: 0.0024 max mem: 31671 Epoch: [31] [ 120/5278] eta: 3:38:34 lr: 1.3029788463962347e-05 loss: 0.0345 (0.0381) loss_seg: 0.0354 (0.0408) loss_lansim: 0.0847 (0.0849) loss_contra: 0.0000 (0.0015) time: 2.5309 data: 0.0025 max mem: 31671 Epoch: [31] [ 130/5278] eta: 3:37:42 lr: 1.302731343528476e-05 loss: 0.0337 (0.0380) loss_seg: 0.0352 (0.0406) loss_lansim: 0.0844 (0.0845) loss_contra: 0.0000 (0.0014) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [31] [ 140/5278] eta: 3:36:53 lr: 1.302483835435886e-05 loss: 0.0323 (0.0387) loss_seg: 0.0345 (0.0413) loss_lansim: 0.0847 (0.0844) loss_contra: 0.0000 (0.0020) time: 2.5193 data: 0.0024 max mem: 31671 Epoch: [31] [ 150/5278] eta: 3:36:19 lr: 1.3022363221172518e-05 loss: 0.0316 (0.0382) loss_seg: 0.0338 (0.0408) loss_lansim: 0.0843 (0.0842) loss_contra: 0.0000 (0.0019) time: 2.5115 data: 0.0025 max mem: 31671 Epoch: [31] [ 160/5278] eta: 3:36:11 lr: 1.3019888035713582e-05 loss: 0.0325 (0.0381) loss_seg: 0.0338 (0.0407) loss_lansim: 0.0843 (0.0842) loss_contra: 0.0000 (0.0018) time: 2.5085 data: 0.0025 max mem: 31671 Epoch: [31] [ 170/5278] eta: 3:35:51 lr: 1.301741279796991e-05 loss: 0.0330 (0.0381) loss_seg: 0.0341 (0.0407) loss_lansim: 0.0837 (0.0840) loss_contra: 0.0000 (0.0017) time: 2.5139 data: 0.0025 max mem: 31671 Epoch: [31] [ 180/5278] eta: 3:35:18 lr: 1.301493750792935e-05 loss: 0.0339 (0.0382) loss_seg: 0.0343 (0.0408) loss_lansim: 0.0843 (0.0844) loss_contra: 0.0000 (0.0016) time: 2.5134 data: 0.0025 max mem: 31671 Epoch: [31] [ 190/5278] eta: 3:35:04 lr: 1.301246216557975e-05 loss: 0.0346 (0.0382) loss_seg: 0.0353 (0.0408) loss_lansim: 0.0837 (0.0842) loss_contra: 0.0000 (0.0016) time: 2.5293 data: 0.0025 max mem: 31671 Epoch: [31] [ 200/5278] eta: 3:34:37 lr: 1.3009986770908952e-05 loss: 0.0330 (0.0378) loss_seg: 0.0343 (0.0404) loss_lansim: 0.0831 (0.0843) loss_contra: 0.0000 (0.0016) time: 2.5286 data: 0.0025 max mem: 31671 Epoch: [31] [ 210/5278] eta: 3:34:08 lr: 1.3007511323904774e-05 loss: 0.0326 (0.0377) loss_seg: 0.0341 (0.0403) loss_lansim: 0.0843 (0.0845) loss_contra: 0.0000 (0.0015) time: 2.5283 data: 0.0025 max mem: 31671 Epoch: [31] [ 220/5278] eta: 3:33:40 lr: 1.300503582455505e-05 loss: 0.0326 (0.0377) loss_seg: 0.0341 (0.0403) loss_lansim: 0.0843 (0.0845) loss_contra: 0.0000 (0.0015) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [31] [ 230/5278] eta: 3:33:25 lr: 1.3002560272847602e-05 loss: 0.0326 (0.0376) loss_seg: 0.0346 (0.0402) loss_lansim: 0.0845 (0.0848) loss_contra: 0.0000 (0.0015) time: 2.5360 data: 0.0025 max mem: 31671 Epoch: [31] [ 240/5278] eta: 3:32:57 lr: 1.3000084668770255e-05 loss: 0.0339 (0.0376) loss_seg: 0.0362 (0.0402) loss_lansim: 0.0846 (0.0848) loss_contra: 0.0000 (0.0014) time: 2.5409 data: 0.0025 max mem: 31671 Epoch: [31] [ 250/5278] eta: 3:32:26 lr: 1.2997609012310803e-05 loss: 0.0344 (0.0376) loss_seg: 0.0368 (0.0402) loss_lansim: 0.0853 (0.0851) loss_contra: 0.0000 (0.0020) time: 2.5409 data: 0.0026 max mem: 31671 Epoch: [31] [ 260/5278] eta: 3:31:59 lr: 1.2995133303457057e-05 loss: 0.0345 (0.0378) loss_seg: 0.0372 (0.0404) loss_lansim: 0.0868 (0.0853) loss_contra: 0.0000 (0.0019) time: 2.5350 data: 0.0026 max mem: 31671 Epoch: [31] [ 270/5278] eta: 3:31:41 lr: 1.299265754219682e-05 loss: 0.0344 (0.0378) loss_seg: 0.0368 (0.0404) loss_lansim: 0.0868 (0.0852) loss_contra: 0.0000 (0.0019) time: 2.5373 data: 0.0026 max mem: 31671 Epoch: [31] [ 280/5278] eta: 3:31:06 lr: 1.2990181728517894e-05 loss: 0.0344 (0.0380) loss_seg: 0.0372 (0.0406) loss_lansim: 0.0859 (0.0853) loss_contra: 0.0000 (0.0019) time: 2.5349 data: 0.0026 max mem: 31671 Epoch: [31] [ 290/5278] eta: 3:30:55 lr: 1.2987705862408054e-05 loss: 0.0333 (0.0378) loss_seg: 0.0362 (0.0403) loss_lansim: 0.0854 (0.0853) loss_contra: 0.0000 (0.0018) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [31] [ 300/5278] eta: 3:30:22 lr: 1.2985229943855088e-05 loss: 0.0333 (0.0377) loss_seg: 0.0362 (0.0402) loss_lansim: 0.0859 (0.0853) loss_contra: 0.0000 (0.0018) time: 2.5355 data: 0.0026 max mem: 31671 Epoch: [31] [ 310/5278] eta: 3:29:56 lr: 1.2982753972846776e-05 loss: 0.0324 (0.0376) loss_seg: 0.0354 (0.0401) loss_lansim: 0.0850 (0.0852) loss_contra: 0.0000 (0.0018) time: 2.5362 data: 0.0026 max mem: 31671 Epoch: [31] [ 320/5278] eta: 3:29:28 lr: 1.2980277949370898e-05 loss: 0.0317 (0.0373) loss_seg: 0.0346 (0.0398) loss_lansim: 0.0849 (0.0854) loss_contra: 0.0000 (0.0017) time: 2.5357 data: 0.0026 max mem: 31671 Epoch: [31] [ 330/5278] eta: 3:29:03 lr: 1.2977801873415205e-05 loss: 0.0318 (0.0371) loss_seg: 0.0347 (0.0396) loss_lansim: 0.0850 (0.0853) loss_contra: 0.0000 (0.0017) time: 2.5312 data: 0.0026 max mem: 31671 Epoch: [31] [ 340/5278] eta: 3:28:45 lr: 1.2975325744967467e-05 loss: 0.0318 (0.0373) loss_seg: 0.0347 (0.0397) loss_lansim: 0.0850 (0.0854) loss_contra: 0.0000 (0.0020) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [31] [ 350/5278] eta: 3:28:25 lr: 1.2972849564015446e-05 loss: 0.0324 (0.0375) loss_seg: 0.0354 (0.0400) loss_lansim: 0.0849 (0.0855) loss_contra: 0.0000 (0.0019) time: 2.5440 data: 0.0025 max mem: 31671 Epoch: [31] [ 360/5278] eta: 3:27:52 lr: 1.297037333054689e-05 loss: 0.0319 (0.0375) loss_seg: 0.0349 (0.0400) loss_lansim: 0.0846 (0.0856) loss_contra: 0.0000 (0.0019) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [31] [ 370/5278] eta: 3:27:33 lr: 1.2967897044549537e-05 loss: 0.0313 (0.0376) loss_seg: 0.0343 (0.0401) loss_lansim: 0.0842 (0.0855) loss_contra: 0.0000 (0.0019) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [31] [ 380/5278] eta: 3:27:08 lr: 1.2965420706011136e-05 loss: 0.0314 (0.0376) loss_seg: 0.0341 (0.0401) loss_lansim: 0.0840 (0.0855) loss_contra: 0.0000 (0.0018) time: 2.5463 data: 0.0026 max mem: 31671 Epoch: [31] [ 390/5278] eta: 3:26:43 lr: 1.2962944314919414e-05 loss: 0.0319 (0.0376) loss_seg: 0.0343 (0.0401) loss_lansim: 0.0840 (0.0854) loss_contra: 0.0000 (0.0018) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [31] [ 400/5278] eta: 3:26:14 lr: 1.2960467871262113e-05 loss: 0.0325 (0.0374) loss_seg: 0.0343 (0.0399) loss_lansim: 0.0841 (0.0855) loss_contra: 0.0000 (0.0018) time: 2.5402 data: 0.0025 max mem: 31671 Epoch: [31] [ 410/5278] eta: 3:25:46 lr: 1.2957991375026943e-05 loss: 0.0332 (0.0374) loss_seg: 0.0346 (0.0399) loss_lansim: 0.0840 (0.0854) loss_contra: 0.0000 (0.0018) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [31] [ 420/5278] eta: 3:25:15 lr: 1.2955514826201625e-05 loss: 0.0349 (0.0375) loss_seg: 0.0376 (0.0400) loss_lansim: 0.0840 (0.0855) loss_contra: 0.0000 (0.0018) time: 2.5354 data: 0.0025 max mem: 31671 Epoch: [31] [ 430/5278] eta: 3:24:59 lr: 1.2953038224773876e-05 loss: 0.0361 (0.0378) loss_seg: 0.0378 (0.0403) loss_lansim: 0.0838 (0.0854) loss_contra: 0.0000 (0.0017) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [31] [ 440/5278] eta: 3:24:27 lr: 1.29505615707314e-05 loss: 0.0361 (0.0379) loss_seg: 0.0376 (0.0404) loss_lansim: 0.0838 (0.0854) loss_contra: 0.0000 (0.0019) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [31] [ 450/5278] eta: 3:24:07 lr: 1.2948084864061908e-05 loss: 0.0336 (0.0378) loss_seg: 0.0359 (0.0402) loss_lansim: 0.0822 (0.0853) loss_contra: 0.0000 (0.0018) time: 2.5342 data: 0.0025 max mem: 31671 Epoch: [31] [ 460/5278] eta: 3:23:35 lr: 1.294560810475308e-05 loss: 0.0336 (0.0377) loss_seg: 0.0359 (0.0401) loss_lansim: 0.0831 (0.0853) loss_contra: 0.0000 (0.0019) time: 2.5331 data: 0.0025 max mem: 31671 Epoch: [31] [ 470/5278] eta: 3:23:11 lr: 1.2943131292792615e-05 loss: 0.0360 (0.0383) loss_seg: 0.0377 (0.0408) loss_lansim: 0.0835 (0.0853) loss_contra: 0.0000 (0.0019) time: 2.5300 data: 0.0025 max mem: 31671 Epoch: [31] [ 480/5278] eta: 3:22:38 lr: 1.29406544281682e-05 loss: 0.0361 (0.0396) loss_seg: 0.0394 (0.0422) loss_lansim: 0.0835 (0.0853) loss_contra: 0.0000 (0.0019) time: 2.5216 data: 0.0025 max mem: 31671 Epoch: [31] [ 490/5278] eta: 3:22:17 lr: 1.2938177510867517e-05 loss: 0.0361 (0.0397) loss_seg: 0.0394 (0.0424) loss_lansim: 0.0845 (0.0854) loss_contra: 0.0000 (0.0019) time: 2.5249 data: 0.0024 max mem: 31671 Epoch: [31] [ 500/5278] eta: 3:22:01 lr: 1.2935700540878232e-05 loss: 0.0363 (0.0397) loss_seg: 0.0397 (0.0424) loss_lansim: 0.0843 (0.0854) loss_contra: 0.0000 (0.0018) time: 2.5375 data: 0.0024 max mem: 31671 Epoch: [31] [ 510/5278] eta: 3:21:40 lr: 1.2933223518188018e-05 loss: 0.0361 (0.0396) loss_seg: 0.0394 (0.0422) loss_lansim: 0.0845 (0.0853) loss_contra: 0.0000 (0.0018) time: 2.5447 data: 0.0024 max mem: 31671 Epoch: [31] [ 520/5278] eta: 3:21:25 lr: 1.2930746442784536e-05 loss: 0.0347 (0.0395) loss_seg: 0.0371 (0.0421) loss_lansim: 0.0845 (0.0855) loss_contra: 0.0000 (0.0018) time: 2.5610 data: 0.0024 max mem: 31671 Epoch: [31] [ 530/5278] eta: 3:21:04 lr: 1.2928269314655455e-05 loss: 0.0343 (0.0394) loss_seg: 0.0368 (0.0421) loss_lansim: 0.0847 (0.0856) loss_contra: 0.0000 (0.0017) time: 2.5579 data: 0.0024 max mem: 31671 Epoch: [31] [ 540/5278] eta: 3:20:36 lr: 1.292579213378841e-05 loss: 0.0337 (0.0395) loss_seg: 0.0364 (0.0421) loss_lansim: 0.0849 (0.0857) loss_contra: 0.0000 (0.0017) time: 2.5616 data: 0.0025 max mem: 31671 Epoch: [31] [ 550/5278] eta: 3:20:07 lr: 1.2923314900171058e-05 loss: 0.0350 (0.0397) loss_seg: 0.0371 (0.0423) loss_lansim: 0.0858 (0.0858) loss_contra: 0.0000 (0.0017) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [31] [ 560/5278] eta: 3:19:37 lr: 1.2920837613791037e-05 loss: 0.0360 (0.0396) loss_seg: 0.0379 (0.0422) loss_lansim: 0.0861 (0.0859) loss_contra: 0.0000 (0.0017) time: 2.5539 data: 0.0024 max mem: 31671 Epoch: [31] [ 570/5278] eta: 3:19:11 lr: 1.291836027463599e-05 loss: 0.0333 (0.0394) loss_seg: 0.0344 (0.0420) loss_lansim: 0.0865 (0.0859) loss_contra: 0.0000 (0.0017) time: 2.5514 data: 0.0024 max mem: 31671 Epoch: [31] [ 580/5278] eta: 3:18:43 lr: 1.2915882882693536e-05 loss: 0.0328 (0.0392) loss_seg: 0.0342 (0.0419) loss_lansim: 0.0871 (0.0860) loss_contra: 0.0000 (0.0016) time: 2.5560 data: 0.0024 max mem: 31671 Epoch: [31] [ 590/5278] eta: 3:18:20 lr: 1.2913405437951304e-05 loss: 0.0302 (0.0391) loss_seg: 0.0315 (0.0417) loss_lansim: 0.0865 (0.0861) loss_contra: 0.0000 (0.0016) time: 2.5554 data: 0.0024 max mem: 31671 Epoch: [31] [ 600/5278] eta: 3:17:52 lr: 1.2910927940396914e-05 loss: 0.0308 (0.0390) loss_seg: 0.0316 (0.0416) loss_lansim: 0.0898 (0.0862) loss_contra: 0.0000 (0.0016) time: 2.5430 data: 0.0024 max mem: 31671 Epoch: [31] [ 610/5278] eta: 3:17:20 lr: 1.290845039001798e-05 loss: 0.0317 (0.0390) loss_seg: 0.0323 (0.0416) loss_lansim: 0.0919 (0.0863) loss_contra: 0.0000 (0.0016) time: 2.5302 data: 0.0024 max mem: 31671 Epoch: [31] [ 620/5278] eta: 3:16:56 lr: 1.290597278680211e-05 loss: 0.0328 (0.0391) loss_seg: 0.0344 (0.0417) loss_lansim: 0.0888 (0.0862) loss_contra: 0.0000 (0.0016) time: 2.5195 data: 0.0025 max mem: 31671 Epoch: [31] [ 630/5278] eta: 3:16:30 lr: 1.29034951307369e-05 loss: 0.0333 (0.0390) loss_seg: 0.0348 (0.0416) loss_lansim: 0.0892 (0.0862) loss_contra: 0.0000 (0.0015) time: 2.5141 data: 0.0025 max mem: 31671 Epoch: [31] [ 640/5278] eta: 3:16:01 lr: 1.2901017421809955e-05 loss: 0.0349 (0.0391) loss_seg: 0.0362 (0.0417) loss_lansim: 0.0892 (0.0863) loss_contra: 0.0000 (0.0015) time: 2.5106 data: 0.0025 max mem: 31671 Epoch: [31] [ 650/5278] eta: 3:15:33 lr: 1.289853966000887e-05 loss: 0.0333 (0.0389) loss_seg: 0.0342 (0.0415) loss_lansim: 0.0892 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5112 data: 0.0025 max mem: 31671 Epoch: [31] [ 660/5278] eta: 3:15:01 lr: 1.2896061845321217e-05 loss: 0.0320 (0.0390) loss_seg: 0.0339 (0.0416) loss_lansim: 0.0870 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5063 data: 0.0025 max mem: 31671 Epoch: [31] [ 670/5278] eta: 3:14:35 lr: 1.2893583977734583e-05 loss: 0.0337 (0.0391) loss_seg: 0.0348 (0.0416) loss_lansim: 0.0881 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5072 data: 0.0025 max mem: 31671 Epoch: [31] [ 680/5278] eta: 3:14:09 lr: 1.2891106057236543e-05 loss: 0.0337 (0.0391) loss_seg: 0.0348 (0.0417) loss_lansim: 0.0881 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5086 data: 0.0025 max mem: 31671 Epoch: [31] [ 690/5278] eta: 3:13:44 lr: 1.2888628083814666e-05 loss: 0.0352 (0.0392) loss_seg: 0.0362 (0.0418) loss_lansim: 0.0874 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5055 data: 0.0025 max mem: 31671 Epoch: [31] [ 700/5278] eta: 3:13:15 lr: 1.288615005745652e-05 loss: 0.0349 (0.0392) loss_seg: 0.0359 (0.0418) loss_lansim: 0.0869 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5019 data: 0.0026 max mem: 31671 Epoch: [31] [ 710/5278] eta: 3:12:47 lr: 1.2883671978149654e-05 loss: 0.0330 (0.0391) loss_seg: 0.0348 (0.0416) loss_lansim: 0.0856 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5053 data: 0.0026 max mem: 31671 Epoch: [31] [ 720/5278] eta: 3:12:22 lr: 1.2881193845881623e-05 loss: 0.0327 (0.0391) loss_seg: 0.0345 (0.0416) loss_lansim: 0.0870 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5048 data: 0.0026 max mem: 31671 Epoch: [31] [ 730/5278] eta: 3:11:59 lr: 1.2878715660639976e-05 loss: 0.0322 (0.0392) loss_seg: 0.0345 (0.0417) loss_lansim: 0.0847 (0.0864) loss_contra: 0.0000 (0.0016) time: 2.5084 data: 0.0026 max mem: 31671 Epoch: [31] [ 740/5278] eta: 3:11:32 lr: 1.2876237422412258e-05 loss: 0.0316 (0.0390) loss_seg: 0.0341 (0.0416) loss_lansim: 0.0851 (0.0865) loss_contra: 0.0000 (0.0016) time: 2.5111 data: 0.0026 max mem: 31671 Epoch: [31] [ 750/5278] eta: 3:11:10 lr: 1.2873759131185994e-05 loss: 0.0316 (0.0390) loss_seg: 0.0344 (0.0415) loss_lansim: 0.0839 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5202 data: 0.0025 max mem: 31671 Epoch: [31] [ 760/5278] eta: 3:10:44 lr: 1.287128078694872e-05 loss: 0.0322 (0.0390) loss_seg: 0.0348 (0.0416) loss_lansim: 0.0847 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5275 data: 0.0026 max mem: 31671 Epoch: [31] [ 770/5278] eta: 3:10:20 lr: 1.2868802389687961e-05 loss: 0.0326 (0.0390) loss_seg: 0.0356 (0.0417) loss_lansim: 0.0847 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5296 data: 0.0026 max mem: 31671 Epoch: [31] [ 780/5278] eta: 3:09:51 lr: 1.286632393939124e-05 loss: 0.0326 (0.0391) loss_seg: 0.0352 (0.0417) loss_lansim: 0.0847 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5261 data: 0.0025 max mem: 31671 Epoch: [31] [ 790/5278] eta: 3:09:27 lr: 1.2863845436046056e-05 loss: 0.0334 (0.0391) loss_seg: 0.0352 (0.0418) loss_lansim: 0.0851 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5264 data: 0.0025 max mem: 31671 Epoch: [31] [ 800/5278] eta: 3:09:01 lr: 1.2861366879639927e-05 loss: 0.0334 (0.0391) loss_seg: 0.0352 (0.0418) loss_lansim: 0.0861 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5325 data: 0.0025 max mem: 31671 Epoch: [31] [ 810/5278] eta: 3:08:36 lr: 1.2858888270160352e-05 loss: 0.0348 (0.0390) loss_seg: 0.0358 (0.0416) loss_lansim: 0.0847 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5368 data: 0.0025 max mem: 31671 Epoch: [31] [ 820/5278] eta: 3:08:08 lr: 1.2856409607594835e-05 loss: 0.0354 (0.0391) loss_seg: 0.0364 (0.0417) loss_lansim: 0.0841 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5314 data: 0.0025 max mem: 31671 Epoch: [31] [ 830/5278] eta: 3:07:45 lr: 1.2853930891930851e-05 loss: 0.0357 (0.0390) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0840 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5315 data: 0.0025 max mem: 31671 Epoch: [31] [ 840/5278] eta: 3:07:19 lr: 1.2851452123155896e-05 loss: 0.0361 (0.0390) loss_seg: 0.0366 (0.0416) loss_lansim: 0.0840 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [31] [ 850/5278] eta: 3:06:54 lr: 1.284897330125745e-05 loss: 0.0371 (0.0391) loss_seg: 0.0394 (0.0417) loss_lansim: 0.0851 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [31] [ 860/5278] eta: 3:06:30 lr: 1.2846494426222984e-05 loss: 0.0375 (0.0391) loss_seg: 0.0398 (0.0418) loss_lansim: 0.0867 (0.0866) loss_contra: 0.0000 (0.0015) time: 2.5333 data: 0.0025 max mem: 31671 Epoch: [31] [ 870/5278] eta: 3:06:05 lr: 1.2844015498039962e-05 loss: 0.0375 (0.0392) loss_seg: 0.0398 (0.0419) loss_lansim: 0.0868 (0.0866) loss_contra: 0.0000 (0.0015) time: 2.5318 data: 0.0025 max mem: 31671 Epoch: [31] [ 880/5278] eta: 3:05:42 lr: 1.2841536516695852e-05 loss: 0.0371 (0.0392) loss_seg: 0.0393 (0.0418) loss_lansim: 0.0872 (0.0866) loss_contra: 0.0000 (0.0015) time: 2.5401 data: 0.0025 max mem: 31671 Epoch: [31] [ 890/5278] eta: 3:05:13 lr: 1.2839057482178107e-05 loss: 0.0356 (0.0391) loss_seg: 0.0364 (0.0418) loss_lansim: 0.0856 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5312 data: 0.0025 max mem: 31671 Epoch: [31] [ 900/5278] eta: 3:04:52 lr: 1.2836578394474185e-05 loss: 0.0356 (0.0391) loss_seg: 0.0367 (0.0417) loss_lansim: 0.0837 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5416 data: 0.0025 max mem: 31671 Epoch: [31] [ 910/5278] eta: 3:04:26 lr: 1.2834099253571522e-05 loss: 0.0360 (0.0392) loss_seg: 0.0383 (0.0418) loss_lansim: 0.0856 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5387 data: 0.0025 max mem: 31671 Epoch: [31] [ 920/5278] eta: 3:04:02 lr: 1.2831620059457561e-05 loss: 0.0346 (0.0391) loss_seg: 0.0367 (0.0418) loss_lansim: 0.0852 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5465 data: 0.0025 max mem: 31671 Epoch: [31] [ 930/5278] eta: 3:03:37 lr: 1.2829140812119738e-05 loss: 0.0336 (0.0392) loss_seg: 0.0358 (0.0418) loss_lansim: 0.0864 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5447 data: 0.0026 max mem: 31671 Epoch: [31] [ 940/5278] eta: 3:03:11 lr: 1.2826661511545483e-05 loss: 0.0336 (0.0391) loss_seg: 0.0366 (0.0417) loss_lansim: 0.0860 (0.0865) loss_contra: 0.0000 (0.0015) time: 2.5445 data: 0.0026 max mem: 31671 Epoch: [31] [ 950/5278] eta: 3:02:45 lr: 1.2824182157722218e-05 loss: 0.0336 (0.0391) loss_seg: 0.0367 (0.0418) loss_lansim: 0.0860 (0.0864) loss_contra: 0.0000 (0.0015) time: 2.5402 data: 0.0026 max mem: 31671 Epoch: [31] [ 960/5278] eta: 3:02:17 lr: 1.2821702750637354e-05 loss: 0.0307 (0.0390) loss_seg: 0.0329 (0.0416) loss_lansim: 0.0856 (0.0865) loss_contra: 0.0000 (0.0018) time: 2.5334 data: 0.0026 max mem: 31671 Epoch: [31] [ 970/5278] eta: 3:01:53 lr: 1.281922329027831e-05 loss: 0.0324 (0.0389) loss_seg: 0.0333 (0.0415) loss_lansim: 0.0856 (0.0865) loss_contra: 0.0000 (0.0017) time: 2.5354 data: 0.0026 max mem: 31671 Epoch: [31] [ 980/5278] eta: 3:01:27 lr: 1.2816743776632486e-05 loss: 0.0333 (0.0390) loss_seg: 0.0358 (0.0417) loss_lansim: 0.0852 (0.0865) loss_contra: 0.0000 (0.0018) time: 2.5300 data: 0.0026 max mem: 31671 Epoch: [31] [ 990/5278] eta: 3:01:00 lr: 1.2814264209687294e-05 loss: 0.0339 (0.0390) loss_seg: 0.0371 (0.0416) loss_lansim: 0.0860 (0.0866) loss_contra: 0.0000 (0.0017) time: 2.5339 data: 0.0026 max mem: 31671 Epoch: [31] [1000/5278] eta: 3:00:33 lr: 1.2811784589430112e-05 loss: 0.0339 (0.0390) loss_seg: 0.0366 (0.0416) loss_lansim: 0.0860 (0.0865) loss_contra: 0.0000 (0.0019) time: 2.5209 data: 0.0025 max mem: 31671 Epoch: [31] [1010/5278] eta: 3:00:06 lr: 1.2809304915848335e-05 loss: 0.0342 (0.0392) loss_seg: 0.0371 (0.0419) loss_lansim: 0.0852 (0.0865) loss_contra: 0.0000 (0.0020) time: 2.5188 data: 0.0025 max mem: 31671 Epoch: [31] [1020/5278] eta: 2:59:41 lr: 1.2806825188929348e-05 loss: 0.0339 (0.0392) loss_seg: 0.0368 (0.0418) loss_lansim: 0.0867 (0.0865) loss_contra: 0.0000 (0.0020) time: 2.5154 data: 0.0025 max mem: 31671 Epoch: [31] [1030/5278] eta: 2:59:16 lr: 1.2804345408660534e-05 loss: 0.0351 (0.0392) loss_seg: 0.0374 (0.0419) loss_lansim: 0.0856 (0.0865) loss_contra: 0.0000 (0.0019) time: 2.5144 data: 0.0025 max mem: 31671 Epoch: [31] [1040/5278] eta: 2:58:50 lr: 1.2801865575029251e-05 loss: 0.0350 (0.0393) loss_seg: 0.0374 (0.0419) loss_lansim: 0.0852 (0.0864) loss_contra: 0.0000 (0.0019) time: 2.5143 data: 0.0025 max mem: 31671 Epoch: [31] [1050/5278] eta: 2:58:25 lr: 1.2799385688022871e-05 loss: 0.0342 (0.0392) loss_seg: 0.0368 (0.0419) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0000 (0.0019) time: 2.5183 data: 0.0025 max mem: 31671 Epoch: [31] [1060/5278] eta: 2:58:00 lr: 1.2796905747628757e-05 loss: 0.0350 (0.0392) loss_seg: 0.0368 (0.0418) loss_lansim: 0.0841 (0.0863) loss_contra: 0.0000 (0.0019) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [31] [1070/5278] eta: 2:57:34 lr: 1.2794425753834269e-05 loss: 0.0350 (0.0391) loss_seg: 0.0362 (0.0417) loss_lansim: 0.0836 (0.0863) loss_contra: 0.0000 (0.0019) time: 2.5186 data: 0.0025 max mem: 31671 Epoch: [31] [1080/5278] eta: 2:57:09 lr: 1.279194570662674e-05 loss: 0.0340 (0.0391) loss_seg: 0.0351 (0.0417) loss_lansim: 0.0843 (0.0863) loss_contra: 0.0000 (0.0019) time: 2.5219 data: 0.0025 max mem: 31671 Epoch: [31] [1090/5278] eta: 2:56:41 lr: 1.2789465605993523e-05 loss: 0.0341 (0.0391) loss_seg: 0.0351 (0.0417) loss_lansim: 0.0838 (0.0863) loss_contra: 0.0000 (0.0019) time: 2.5193 data: 0.0025 max mem: 31671 Epoch: [31] [1100/5278] eta: 2:56:14 lr: 1.2786985451921951e-05 loss: 0.0340 (0.0390) loss_seg: 0.0354 (0.0416) loss_lansim: 0.0838 (0.0864) loss_contra: 0.0000 (0.0019) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [31] [1110/5278] eta: 2:55:49 lr: 1.2784505244399364e-05 loss: 0.0318 (0.0389) loss_seg: 0.0341 (0.0415) loss_lansim: 0.0843 (0.0863) loss_contra: 0.0000 (0.0019) time: 2.5217 data: 0.0025 max mem: 31671 Epoch: [31] [1120/5278] eta: 2:55:20 lr: 1.278202498341308e-05 loss: 0.0310 (0.0389) loss_seg: 0.0337 (0.0415) loss_lansim: 0.0837 (0.0863) loss_contra: 0.0000 (0.0019) time: 2.5131 data: 0.0026 max mem: 31671 Epoch: [31] [1130/5278] eta: 2:54:52 lr: 1.2779544668950417e-05 loss: 0.0304 (0.0391) loss_seg: 0.0325 (0.0416) loss_lansim: 0.0833 (0.0863) loss_contra: 0.0000 (0.0019) time: 2.5038 data: 0.0026 max mem: 31671 Epoch: [31] [1140/5278] eta: 2:54:29 lr: 1.2777064300998696e-05 loss: 0.0298 (0.0390) loss_seg: 0.0320 (0.0416) loss_lansim: 0.0843 (0.0863) loss_contra: 0.0000 (0.0018) time: 2.5117 data: 0.0025 max mem: 31671 Epoch: [31] [1150/5278] eta: 2:54:04 lr: 1.2774583879545226e-05 loss: 0.0298 (0.0389) loss_seg: 0.0320 (0.0415) loss_lansim: 0.0851 (0.0864) loss_contra: 0.0000 (0.0018) time: 2.5099 data: 0.0025 max mem: 31671 Epoch: [31] [1160/5278] eta: 2:53:38 lr: 1.2772103404577304e-05 loss: 0.0304 (0.0389) loss_seg: 0.0327 (0.0414) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0000 (0.0018) time: 2.5057 data: 0.0025 max mem: 31671 Epoch: [31] [1170/5278] eta: 2:53:12 lr: 1.276962287608223e-05 loss: 0.0304 (0.0388) loss_seg: 0.0323 (0.0414) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0000 (0.0018) time: 2.5075 data: 0.0025 max mem: 31671 Epoch: [31] [1180/5278] eta: 2:52:49 lr: 1.2767142294047293e-05 loss: 0.0304 (0.0388) loss_seg: 0.0323 (0.0414) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0000 (0.0018) time: 2.5115 data: 0.0024 max mem: 31671 Epoch: [31] [1190/5278] eta: 2:52:23 lr: 1.2764661658459784e-05 loss: 0.0305 (0.0388) loss_seg: 0.0327 (0.0414) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0000 (0.0018) time: 2.5174 data: 0.0024 max mem: 31671 Epoch: [31] [1200/5278] eta: 2:51:58 lr: 1.2762180969306983e-05 loss: 0.0325 (0.0389) loss_seg: 0.0332 (0.0415) loss_lansim: 0.0855 (0.0864) loss_contra: 0.0000 (0.0018) time: 2.5215 data: 0.0024 max mem: 31671 Epoch: [31] [1210/5278] eta: 2:51:36 lr: 1.2759700226576154e-05 loss: 0.0325 (0.0388) loss_seg: 0.0337 (0.0414) loss_lansim: 0.0856 (0.0864) loss_contra: 0.0000 (0.0018) time: 2.5301 data: 0.0024 max mem: 31671 Epoch: [31] [1220/5278] eta: 2:51:10 lr: 1.2757219430254574e-05 loss: 0.0344 (0.0388) loss_seg: 0.0357 (0.0414) loss_lansim: 0.0857 (0.0864) loss_contra: 0.0000 (0.0017) time: 2.5384 data: 0.0024 max mem: 31671 Epoch: [31] [1230/5278] eta: 2:50:48 lr: 1.2754738580329503e-05 loss: 0.0338 (0.0388) loss_seg: 0.0357 (0.0414) loss_lansim: 0.0857 (0.0864) loss_contra: 0.0000 (0.0017) time: 2.5554 data: 0.0024 max mem: 31671 Epoch: [31] [1240/5278] eta: 2:50:20 lr: 1.2752257676788207e-05 loss: 0.0356 (0.0389) loss_seg: 0.0369 (0.0415) loss_lansim: 0.0857 (0.0864) loss_contra: 0.0000 (0.0025) time: 2.5416 data: 0.0024 max mem: 31671 Epoch: [31] [1250/5278] eta: 2:49:53 lr: 1.2749776719617917e-05 loss: 0.0357 (0.0389) loss_seg: 0.0371 (0.0415) loss_lansim: 0.0855 (0.0865) loss_contra: 0.0000 (0.0025) time: 2.5352 data: 0.0024 max mem: 31671 Epoch: [31] [1260/5278] eta: 2:49:25 lr: 1.2747295708805892e-05 loss: 0.0340 (0.0388) loss_seg: 0.0360 (0.0414) loss_lansim: 0.0857 (0.0864) loss_contra: 0.0000 (0.0025) time: 2.5311 data: 0.0024 max mem: 31671 Epoch: [31] [1270/5278] eta: 2:49:03 lr: 1.274481464433937e-05 loss: 0.0344 (0.0388) loss_seg: 0.0369 (0.0414) loss_lansim: 0.0855 (0.0864) loss_contra: 0.0000 (0.0025) time: 2.5407 data: 0.0024 max mem: 31671 Epoch: [31] [1280/5278] eta: 2:48:38 lr: 1.2742333526205588e-05 loss: 0.0344 (0.0388) loss_seg: 0.0364 (0.0414) loss_lansim: 0.0858 (0.0864) loss_contra: 0.0000 (0.0024) time: 2.5376 data: 0.0024 max mem: 31671 Epoch: [31] [1290/5278] eta: 2:48:13 lr: 1.2739852354391763e-05 loss: 0.0340 (0.0388) loss_seg: 0.0364 (0.0413) loss_lansim: 0.0858 (0.0864) loss_contra: 0.0000 (0.0026) time: 2.5391 data: 0.0024 max mem: 31671 Epoch: [31] [1300/5278] eta: 2:47:48 lr: 1.273737112888512e-05 loss: 0.0338 (0.0388) loss_seg: 0.0355 (0.0413) loss_lansim: 0.0840 (0.0864) loss_contra: 0.0000 (0.0025) time: 2.5400 data: 0.0024 max mem: 31671 Epoch: [31] [1310/5278] eta: 2:47:22 lr: 1.2734889849672882e-05 loss: 0.0340 (0.0387) loss_seg: 0.0368 (0.0413) loss_lansim: 0.0849 (0.0864) loss_contra: 0.0000 (0.0026) time: 2.5282 data: 0.0024 max mem: 31671 Epoch: [31] [1320/5278] eta: 2:46:57 lr: 1.2732408516742259e-05 loss: 0.0334 (0.0387) loss_seg: 0.0355 (0.0412) loss_lansim: 0.0849 (0.0864) loss_contra: 0.0000 (0.0026) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [31] [1330/5278] eta: 2:46:30 lr: 1.2729927130080446e-05 loss: 0.0334 (0.0387) loss_seg: 0.0361 (0.0413) loss_lansim: 0.0849 (0.0864) loss_contra: 0.0000 (0.0026) time: 2.5167 data: 0.0024 max mem: 31671 Epoch: [31] [1340/5278] eta: 2:46:04 lr: 1.272744568967465e-05 loss: 0.0340 (0.0388) loss_seg: 0.0364 (0.0414) loss_lansim: 0.0838 (0.0864) loss_contra: 0.0000 (0.0025) time: 2.5198 data: 0.0024 max mem: 31671 Epoch: [31] [1350/5278] eta: 2:45:39 lr: 1.2724964195512058e-05 loss: 0.0334 (0.0387) loss_seg: 0.0357 (0.0413) loss_lansim: 0.0828 (0.0864) loss_contra: 0.0000 (0.0025) time: 2.5297 data: 0.0025 max mem: 31671 Epoch: [31] [1360/5278] eta: 2:45:12 lr: 1.2722482647579868e-05 loss: 0.0365 (0.0388) loss_seg: 0.0388 (0.0414) loss_lansim: 0.0835 (0.0864) loss_contra: 0.0000 (0.0026) time: 2.5298 data: 0.0025 max mem: 31671 Epoch: [31] [1370/5278] eta: 2:44:48 lr: 1.2720001045865248e-05 loss: 0.0365 (0.0388) loss_seg: 0.0388 (0.0414) loss_lansim: 0.0836 (0.0863) loss_contra: 0.0000 (0.0026) time: 2.5250 data: 0.0025 max mem: 31671 Epoch: [31] [1380/5278] eta: 2:44:20 lr: 1.2717519390355378e-05 loss: 0.0375 (0.0388) loss_seg: 0.0388 (0.0414) loss_lansim: 0.0834 (0.0863) loss_contra: 0.0001 (0.0026) time: 2.5140 data: 0.0025 max mem: 31671 Epoch: [31] [1390/5278] eta: 2:43:54 lr: 1.2715037681037428e-05 loss: 0.0377 (0.0389) loss_seg: 0.0389 (0.0415) loss_lansim: 0.0828 (0.0863) loss_contra: 0.0000 (0.0026) time: 2.5094 data: 0.0025 max mem: 31671 Epoch: [31] [1400/5278] eta: 2:43:29 lr: 1.2712555917898569e-05 loss: 0.0375 (0.0389) loss_seg: 0.0385 (0.0415) loss_lansim: 0.0836 (0.0863) loss_contra: 0.0000 (0.0026) time: 2.5122 data: 0.0025 max mem: 31671 Epoch: [31] [1410/5278] eta: 2:43:03 lr: 1.2710074100925947e-05 loss: 0.0375 (0.0388) loss_seg: 0.0385 (0.0414) loss_lansim: 0.0836 (0.0864) loss_contra: 0.0000 (0.0030) time: 2.5106 data: 0.0025 max mem: 31671 Epoch: [31] [1420/5278] eta: 2:42:37 lr: 1.2707592230106719e-05 loss: 0.0375 (0.0388) loss_seg: 0.0385 (0.0414) loss_lansim: 0.0835 (0.0864) loss_contra: 0.0000 (0.0030) time: 2.5040 data: 0.0025 max mem: 31671 Epoch: [31] [1430/5278] eta: 2:42:14 lr: 1.2705110305428031e-05 loss: 0.0375 (0.0388) loss_seg: 0.0385 (0.0414) loss_lansim: 0.0838 (0.0864) loss_contra: 0.0000 (0.0030) time: 2.5184 data: 0.0026 max mem: 31671 Epoch: [31] [1440/5278] eta: 2:41:49 lr: 1.2702628326877022e-05 loss: 0.0362 (0.0388) loss_seg: 0.0379 (0.0414) loss_lansim: 0.0853 (0.0864) loss_contra: 0.0000 (0.0029) time: 2.5245 data: 0.0025 max mem: 31671 Epoch: [31] [1450/5278] eta: 2:41:22 lr: 1.2700146294440834e-05 loss: 0.0375 (0.0388) loss_seg: 0.0390 (0.0414) loss_lansim: 0.0861 (0.0864) loss_contra: 0.0000 (0.0029) time: 2.5137 data: 0.0025 max mem: 31671 Epoch: [31] [1460/5278] eta: 2:40:56 lr: 1.2697664208106583e-05 loss: 0.0351 (0.0389) loss_seg: 0.0367 (0.0415) loss_lansim: 0.0853 (0.0864) loss_contra: 0.0000 (0.0030) time: 2.5194 data: 0.0025 max mem: 31671 Epoch: [31] [1470/5278] eta: 2:40:31 lr: 1.2695182067861399e-05 loss: 0.0357 (0.0389) loss_seg: 0.0369 (0.0415) loss_lansim: 0.0855 (0.0864) loss_contra: 0.0000 (0.0029) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [31] [1480/5278] eta: 2:40:04 lr: 1.2692699873692398e-05 loss: 0.0342 (0.0389) loss_seg: 0.0356 (0.0415) loss_lansim: 0.0878 (0.0864) loss_contra: 0.0000 (0.0029) time: 2.5185 data: 0.0025 max mem: 31671 Epoch: [31] [1490/5278] eta: 2:39:40 lr: 1.2690217625586697e-05 loss: 0.0342 (0.0389) loss_seg: 0.0356 (0.0415) loss_lansim: 0.0878 (0.0864) loss_contra: 0.0000 (0.0029) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [31] [1500/5278] eta: 2:39:14 lr: 1.2687735323531388e-05 loss: 0.0342 (0.0389) loss_seg: 0.0356 (0.0415) loss_lansim: 0.0867 (0.0864) loss_contra: 0.0000 (0.0029) time: 2.5200 data: 0.0025 max mem: 31671 Epoch: [31] [1510/5278] eta: 2:38:50 lr: 1.2685252967513578e-05 loss: 0.0346 (0.0390) loss_seg: 0.0369 (0.0416) loss_lansim: 0.0841 (0.0863) loss_contra: 0.0000 (0.0029) time: 2.5280 data: 0.0025 max mem: 31671 Epoch: [31] [1520/5278] eta: 2:38:25 lr: 1.2682770557520357e-05 loss: 0.0367 (0.0390) loss_seg: 0.0401 (0.0416) loss_lansim: 0.0834 (0.0863) loss_contra: 0.0000 (0.0029) time: 2.5328 data: 0.0025 max mem: 31671 Epoch: [31] [1530/5278] eta: 2:38:00 lr: 1.2680288093538823e-05 loss: 0.0372 (0.0390) loss_seg: 0.0392 (0.0417) loss_lansim: 0.0829 (0.0862) loss_contra: 0.0001 (0.0029) time: 2.5276 data: 0.0025 max mem: 31671 Epoch: [31] [1540/5278] eta: 2:37:32 lr: 1.2677805575556043e-05 loss: 0.0372 (0.0391) loss_seg: 0.0380 (0.0417) loss_lansim: 0.0815 (0.0862) loss_contra: 0.0001 (0.0029) time: 2.5153 data: 0.0025 max mem: 31671 Epoch: [31] [1550/5278] eta: 2:37:09 lr: 1.2675323003559097e-05 loss: 0.0365 (0.0391) loss_seg: 0.0378 (0.0417) loss_lansim: 0.0809 (0.0862) loss_contra: 0.0001 (0.0029) time: 2.5288 data: 0.0025 max mem: 31671 Epoch: [31] [1560/5278] eta: 2:36:43 lr: 1.2672840377535059e-05 loss: 0.0372 (0.0391) loss_seg: 0.0378 (0.0417) loss_lansim: 0.0798 (0.0861) loss_contra: 0.0001 (0.0029) time: 2.5274 data: 0.0025 max mem: 31671 Epoch: [31] [1570/5278] eta: 2:36:16 lr: 1.2670357697470992e-05 loss: 0.0373 (0.0391) loss_seg: 0.0378 (0.0417) loss_lansim: 0.0795 (0.0861) loss_contra: 0.0000 (0.0029) time: 2.5170 data: 0.0025 max mem: 31671 Epoch: [31] [1580/5278] eta: 2:35:49 lr: 1.2667874963353949e-05 loss: 0.0373 (0.0390) loss_seg: 0.0380 (0.0416) loss_lansim: 0.0792 (0.0861) loss_contra: 0.0000 (0.0029) time: 2.5178 data: 0.0025 max mem: 31671 Epoch: [31] [1590/5278] eta: 2:35:23 lr: 1.2665392175170981e-05 loss: 0.0346 (0.0390) loss_seg: 0.0371 (0.0416) loss_lansim: 0.0792 (0.0861) loss_contra: 0.0000 (0.0028) time: 2.5130 data: 0.0024 max mem: 31671 Epoch: [31] [1600/5278] eta: 2:34:58 lr: 1.2662909332909142e-05 loss: 0.0367 (0.0390) loss_seg: 0.0380 (0.0416) loss_lansim: 0.0792 (0.0860) loss_contra: 0.0000 (0.0028) time: 2.5179 data: 0.0024 max mem: 31671 Epoch: [31] [1610/5278] eta: 2:34:33 lr: 1.2660426436555473e-05 loss: 0.0353 (0.0390) loss_seg: 0.0366 (0.0417) loss_lansim: 0.0797 (0.0860) loss_contra: 0.0000 (0.0028) time: 2.5137 data: 0.0024 max mem: 31671 Epoch: [31] [1620/5278] eta: 2:34:08 lr: 1.2657943486096996e-05 loss: 0.0341 (0.0391) loss_seg: 0.0364 (0.0417) loss_lansim: 0.0798 (0.0860) loss_contra: 0.0000 (0.0028) time: 2.5109 data: 0.0023 max mem: 31671 Epoch: [31] [1630/5278] eta: 2:33:44 lr: 1.2655460481520744e-05 loss: 0.0332 (0.0390) loss_seg: 0.0364 (0.0417) loss_lansim: 0.0807 (0.0859) loss_contra: 0.0000 (0.0028) time: 2.5143 data: 0.0023 max mem: 31671 Epoch: [31] [1640/5278] eta: 2:33:18 lr: 1.2652977422813744e-05 loss: 0.0332 (0.0390) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0807 (0.0859) loss_contra: 0.0000 (0.0028) time: 2.5224 data: 0.0023 max mem: 31671 Epoch: [31] [1650/5278] eta: 2:32:53 lr: 1.2650494309963015e-05 loss: 0.0336 (0.0390) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0807 (0.0859) loss_contra: 0.0000 (0.0027) time: 2.5167 data: 0.0023 max mem: 31671 Epoch: [31] [1660/5278] eta: 2:32:27 lr: 1.2648011142955556e-05 loss: 0.0332 (0.0390) loss_seg: 0.0357 (0.0416) loss_lansim: 0.0809 (0.0859) loss_contra: 0.0000 (0.0027) time: 2.5167 data: 0.0023 max mem: 31671 Epoch: [31] [1670/5278] eta: 2:32:03 lr: 1.2645527921778377e-05 loss: 0.0336 (0.0390) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0807 (0.0858) loss_contra: 0.0000 (0.0027) time: 2.5319 data: 0.0023 max mem: 31671 Epoch: [31] [1680/5278] eta: 2:31:37 lr: 1.2643044646418479e-05 loss: 0.0332 (0.0390) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0797 (0.0858) loss_contra: 0.0000 (0.0027) time: 2.5317 data: 0.0024 max mem: 31671 Epoch: [31] [1690/5278] eta: 2:31:10 lr: 1.2640561316862851e-05 loss: 0.0345 (0.0389) loss_seg: 0.0378 (0.0416) loss_lansim: 0.0794 (0.0857) loss_contra: 0.0000 (0.0027) time: 2.5283 data: 0.0024 max mem: 31671 Epoch: [31] [1700/5278] eta: 2:30:44 lr: 1.2638077933098485e-05 loss: 0.0326 (0.0389) loss_seg: 0.0357 (0.0415) loss_lansim: 0.0792 (0.0857) loss_contra: 0.0000 (0.0027) time: 2.5191 data: 0.0025 max mem: 31671 Epoch: [31] [1710/5278] eta: 2:30:19 lr: 1.2635594495112354e-05 loss: 0.0332 (0.0390) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0794 (0.0857) loss_contra: 0.0000 (0.0027) time: 2.5207 data: 0.0025 max mem: 31671 Epoch: [31] [1720/5278] eta: 2:29:55 lr: 1.2633111002891438e-05 loss: 0.0326 (0.0390) loss_seg: 0.0357 (0.0416) loss_lansim: 0.0792 (0.0856) loss_contra: 0.0000 (0.0027) time: 2.5281 data: 0.0025 max mem: 31671 Epoch: [31] [1730/5278] eta: 2:29:27 lr: 1.26306274564227e-05 loss: 0.0326 (0.0390) loss_seg: 0.0357 (0.0416) loss_lansim: 0.0791 (0.0856) loss_contra: 0.0000 (0.0027) time: 2.5109 data: 0.0025 max mem: 31671 Epoch: [31] [1740/5278] eta: 2:29:02 lr: 1.2628143855693115e-05 loss: 0.0340 (0.0390) loss_seg: 0.0358 (0.0416) loss_lansim: 0.0779 (0.0856) loss_contra: 0.0000 (0.0027) time: 2.5111 data: 0.0025 max mem: 31671 Epoch: [31] [1750/5278] eta: 2:28:37 lr: 1.2625660200689624e-05 loss: 0.0326 (0.0390) loss_seg: 0.0356 (0.0416) loss_lansim: 0.0789 (0.0856) loss_contra: 0.0000 (0.0026) time: 2.5136 data: 0.0025 max mem: 31671 Epoch: [31] [1760/5278] eta: 2:28:12 lr: 1.2623176491399182e-05 loss: 0.0332 (0.0390) loss_seg: 0.0358 (0.0416) loss_lansim: 0.0792 (0.0855) loss_contra: 0.0000 (0.0026) time: 2.5167 data: 0.0025 max mem: 31671 Epoch: [31] [1770/5278] eta: 2:27:47 lr: 1.2620692727808743e-05 loss: 0.0326 (0.0389) loss_seg: 0.0356 (0.0415) loss_lansim: 0.0793 (0.0855) loss_contra: 0.0000 (0.0026) time: 2.5115 data: 0.0025 max mem: 31671 Epoch: [31] [1780/5278] eta: 2:27:22 lr: 1.261820890990524e-05 loss: 0.0332 (0.0389) loss_seg: 0.0356 (0.0415) loss_lansim: 0.0793 (0.0855) loss_contra: 0.0000 (0.0026) time: 2.5177 data: 0.0025 max mem: 31671 Epoch: [31] [1790/5278] eta: 2:26:57 lr: 1.2615725037675599e-05 loss: 0.0324 (0.0389) loss_seg: 0.0351 (0.0415) loss_lansim: 0.0793 (0.0854) loss_contra: 0.0000 (0.0026) time: 2.5275 data: 0.0024 max mem: 31671 Epoch: [31] [1800/5278] eta: 2:26:32 lr: 1.2613241111106755e-05 loss: 0.0332 (0.0388) loss_seg: 0.0356 (0.0414) loss_lansim: 0.0795 (0.0854) loss_contra: 0.0000 (0.0027) time: 2.5336 data: 0.0024 max mem: 31671 Epoch: [31] [1810/5278] eta: 2:26:07 lr: 1.2610757130185624e-05 loss: 0.0332 (0.0389) loss_seg: 0.0352 (0.0415) loss_lansim: 0.0793 (0.0854) loss_contra: 0.0000 (0.0027) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [31] [1820/5278] eta: 2:25:42 lr: 1.260827309489913e-05 loss: 0.0321 (0.0388) loss_seg: 0.0343 (0.0414) loss_lansim: 0.0796 (0.0853) loss_contra: 0.0000 (0.0027) time: 2.5262 data: 0.0025 max mem: 31671 Epoch: [31] [1830/5278] eta: 2:25:18 lr: 1.260578900523417e-05 loss: 0.0321 (0.0389) loss_seg: 0.0339 (0.0415) loss_lansim: 0.0800 (0.0853) loss_contra: 0.0000 (0.0027) time: 2.5448 data: 0.0025 max mem: 31671 Epoch: [31] [1840/5278] eta: 2:24:52 lr: 1.260330486117765e-05 loss: 0.0310 (0.0389) loss_seg: 0.0334 (0.0415) loss_lansim: 0.0801 (0.0853) loss_contra: 0.0000 (0.0027) time: 2.5428 data: 0.0024 max mem: 31671 Epoch: [31] [1850/5278] eta: 2:24:26 lr: 1.2600820662716467e-05 loss: 0.0308 (0.0388) loss_seg: 0.0334 (0.0414) loss_lansim: 0.0800 (0.0853) loss_contra: 0.0000 (0.0026) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [31] [1860/5278] eta: 2:24:01 lr: 1.259833640983752e-05 loss: 0.0310 (0.0388) loss_seg: 0.0336 (0.0414) loss_lansim: 0.0792 (0.0853) loss_contra: 0.0000 (0.0026) time: 2.5369 data: 0.0024 max mem: 31671 Epoch: [31] [1870/5278] eta: 2:23:36 lr: 1.2595852102527678e-05 loss: 0.0310 (0.0388) loss_seg: 0.0337 (0.0414) loss_lansim: 0.0795 (0.0853) loss_contra: 0.0000 (0.0026) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [31] [1880/5278] eta: 2:23:12 lr: 1.2593367740773828e-05 loss: 0.0325 (0.0389) loss_seg: 0.0349 (0.0415) loss_lansim: 0.0802 (0.0852) loss_contra: 0.0000 (0.0026) time: 2.5422 data: 0.0024 max mem: 31671 Epoch: [31] [1890/5278] eta: 2:22:47 lr: 1.2590883324562844e-05 loss: 0.0322 (0.0388) loss_seg: 0.0348 (0.0414) loss_lansim: 0.0802 (0.0852) loss_contra: 0.0000 (0.0026) time: 2.5425 data: 0.0024 max mem: 31671 Epoch: [31] [1900/5278] eta: 2:22:21 lr: 1.2588398853881589e-05 loss: 0.0321 (0.0388) loss_seg: 0.0337 (0.0414) loss_lansim: 0.0802 (0.0852) loss_contra: 0.0000 (0.0026) time: 2.5395 data: 0.0024 max mem: 31671 Epoch: [31] [1910/5278] eta: 2:21:56 lr: 1.258591432871693e-05 loss: 0.0320 (0.0388) loss_seg: 0.0336 (0.0414) loss_lansim: 0.0800 (0.0852) loss_contra: 0.0000 (0.0026) time: 2.5371 data: 0.0024 max mem: 31671 Epoch: [31] [1920/5278] eta: 2:21:29 lr: 1.2583429749055711e-05 loss: 0.0321 (0.0388) loss_seg: 0.0340 (0.0414) loss_lansim: 0.0803 (0.0851) loss_contra: 0.0000 (0.0026) time: 2.5319 data: 0.0024 max mem: 31671 Epoch: [31] [1930/5278] eta: 2:21:04 lr: 1.2580945114884784e-05 loss: 0.0322 (0.0388) loss_seg: 0.0349 (0.0414) loss_lansim: 0.0802 (0.0851) loss_contra: 0.0000 (0.0026) time: 2.5224 data: 0.0024 max mem: 31671 Epoch: [31] [1940/5278] eta: 2:20:40 lr: 1.2578460426190994e-05 loss: 0.0325 (0.0388) loss_seg: 0.0349 (0.0414) loss_lansim: 0.0792 (0.0851) loss_contra: 0.0000 (0.0026) time: 2.5318 data: 0.0024 max mem: 31671 Epoch: [31] [1950/5278] eta: 2:20:15 lr: 1.2575975682961183e-05 loss: 0.0331 (0.0387) loss_seg: 0.0352 (0.0413) loss_lansim: 0.0796 (0.0851) loss_contra: 0.0000 (0.0025) time: 2.5353 data: 0.0024 max mem: 31671 Epoch: [31] [1960/5278] eta: 2:19:49 lr: 1.2573490885182166e-05 loss: 0.0326 (0.0387) loss_seg: 0.0349 (0.0413) loss_lansim: 0.0792 (0.0850) loss_contra: 0.0000 (0.0025) time: 2.5352 data: 0.0024 max mem: 31671 Epoch: [31] [1970/5278] eta: 2:19:24 lr: 1.2571006032840777e-05 loss: 0.0328 (0.0387) loss_seg: 0.0349 (0.0413) loss_lansim: 0.0787 (0.0850) loss_contra: 0.0000 (0.0025) time: 2.5303 data: 0.0024 max mem: 31671 Epoch: [31] [1980/5278] eta: 2:18:58 lr: 1.2568521125923829e-05 loss: 0.0328 (0.0388) loss_seg: 0.0349 (0.0414) loss_lansim: 0.0783 (0.0850) loss_contra: 0.0000 (0.0025) time: 2.5263 data: 0.0024 max mem: 31671 Epoch: [31] [1990/5278] eta: 2:18:33 lr: 1.2566036164418143e-05 loss: 0.0340 (0.0387) loss_seg: 0.0353 (0.0413) loss_lansim: 0.0786 (0.0850) loss_contra: 0.0000 (0.0025) time: 2.5211 data: 0.0024 max mem: 31671 Epoch: [31] [2000/5278] eta: 2:18:07 lr: 1.2563551148310513e-05 loss: 0.0352 (0.0388) loss_seg: 0.0374 (0.0414) loss_lansim: 0.0791 (0.0849) loss_contra: 0.0000 (0.0025) time: 2.5212 data: 0.0024 max mem: 31671 Epoch: [31] [2010/5278] eta: 2:17:42 lr: 1.2561066077587743e-05 loss: 0.0355 (0.0387) loss_seg: 0.0374 (0.0413) loss_lansim: 0.0797 (0.0850) loss_contra: 0.0000 (0.0025) time: 2.5260 data: 0.0024 max mem: 31671 Epoch: [31] [2020/5278] eta: 2:17:18 lr: 1.2558580952236629e-05 loss: 0.0352 (0.0387) loss_seg: 0.0369 (0.0413) loss_lansim: 0.0796 (0.0849) loss_contra: 0.0000 (0.0025) time: 2.5354 data: 0.0024 max mem: 31671 Epoch: [31] [2030/5278] eta: 2:16:53 lr: 1.2556095772243964e-05 loss: 0.0352 (0.0387) loss_seg: 0.0367 (0.0413) loss_lansim: 0.0799 (0.0849) loss_contra: 0.0000 (0.0025) time: 2.5386 data: 0.0024 max mem: 31671 Epoch: [31] [2040/5278] eta: 2:16:27 lr: 1.2553610537596516e-05 loss: 0.0352 (0.0386) loss_seg: 0.0354 (0.0412) loss_lansim: 0.0802 (0.0849) loss_contra: 0.0000 (0.0025) time: 2.5324 data: 0.0024 max mem: 31671 Epoch: [31] [2050/5278] eta: 2:16:02 lr: 1.2551125248281065e-05 loss: 0.0339 (0.0386) loss_seg: 0.0348 (0.0412) loss_lansim: 0.0801 (0.0849) loss_contra: 0.0000 (0.0025) time: 2.5314 data: 0.0024 max mem: 31671 Epoch: [31] [2060/5278] eta: 2:15:38 lr: 1.2548639904284384e-05 loss: 0.0350 (0.0386) loss_seg: 0.0360 (0.0412) loss_lansim: 0.0812 (0.0849) loss_contra: 0.0000 (0.0025) time: 2.5366 data: 0.0024 max mem: 31671 Epoch: [31] [2070/5278] eta: 2:15:12 lr: 1.2546154505593239e-05 loss: 0.0339 (0.0386) loss_seg: 0.0348 (0.0412) loss_lansim: 0.0813 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5344 data: 0.0025 max mem: 31671 Epoch: [31] [2080/5278] eta: 2:14:48 lr: 1.2543669052194377e-05 loss: 0.0315 (0.0386) loss_seg: 0.0338 (0.0412) loss_lansim: 0.0825 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5423 data: 0.0025 max mem: 31671 Epoch: [31] [2090/5278] eta: 2:14:23 lr: 1.2541183544074552e-05 loss: 0.0313 (0.0386) loss_seg: 0.0324 (0.0412) loss_lansim: 0.0824 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5442 data: 0.0025 max mem: 31671 Epoch: [31] [2100/5278] eta: 2:13:58 lr: 1.2538697981220512e-05 loss: 0.0295 (0.0386) loss_seg: 0.0319 (0.0412) loss_lansim: 0.0824 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5490 data: 0.0026 max mem: 31671 Epoch: [31] [2110/5278] eta: 2:13:30 lr: 1.2536212363619e-05 loss: 0.0295 (0.0386) loss_seg: 0.0316 (0.0411) loss_lansim: 0.0825 (0.0849) loss_contra: 0.0000 (0.0024) time: 2.5355 data: 0.0026 max mem: 31671 Epoch: [31] [2120/5278] eta: 2:13:04 lr: 1.2533726691256737e-05 loss: 0.0303 (0.0386) loss_seg: 0.0321 (0.0411) loss_lansim: 0.0825 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5239 data: 0.0025 max mem: 31671 Epoch: [31] [2130/5278] eta: 2:12:38 lr: 1.2531240964120452e-05 loss: 0.0294 (0.0386) loss_seg: 0.0316 (0.0411) loss_lansim: 0.0812 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5161 data: 0.0025 max mem: 31671 Epoch: [31] [2140/5278] eta: 2:12:12 lr: 1.252875518219687e-05 loss: 0.0303 (0.0386) loss_seg: 0.0321 (0.0411) loss_lansim: 0.0813 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5136 data: 0.0025 max mem: 31671 Epoch: [31] [2150/5278] eta: 2:11:47 lr: 1.2526269345472702e-05 loss: 0.0314 (0.0386) loss_seg: 0.0341 (0.0411) loss_lansim: 0.0802 (0.0848) loss_contra: 0.0000 (0.0024) time: 2.5105 data: 0.0026 max mem: 31671 Epoch: [31] [2160/5278] eta: 2:11:22 lr: 1.2523783453934662e-05 loss: 0.0298 (0.0385) loss_seg: 0.0320 (0.0411) loss_lansim: 0.0798 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5061 data: 0.0026 max mem: 31671 Epoch: [31] [2170/5278] eta: 2:10:55 lr: 1.252129750756944e-05 loss: 0.0303 (0.0385) loss_seg: 0.0321 (0.0411) loss_lansim: 0.0793 (0.0847) loss_contra: 0.0000 (0.0024) time: 2.5036 data: 0.0025 max mem: 31671 Epoch: [31] [2180/5278] eta: 2:10:30 lr: 1.251881150636374e-05 loss: 0.0298 (0.0384) loss_seg: 0.0321 (0.0410) loss_lansim: 0.0778 (0.0846) loss_contra: 0.0000 (0.0024) time: 2.4954 data: 0.0025 max mem: 31671 Epoch: [31] [2190/5278] eta: 2:10:05 lr: 1.2516325450304247e-05 loss: 0.0330 (0.0384) loss_seg: 0.0346 (0.0410) loss_lansim: 0.0787 (0.0846) loss_contra: 0.0000 (0.0023) time: 2.4937 data: 0.0025 max mem: 31671 Epoch: [31] [2200/5278] eta: 2:09:39 lr: 1.2513839339377656e-05 loss: 0.0330 (0.0385) loss_seg: 0.0355 (0.0410) loss_lansim: 0.0773 (0.0846) loss_contra: 0.0000 (0.0023) time: 2.4911 data: 0.0025 max mem: 31671 Epoch: [31] [2210/5278] eta: 2:09:13 lr: 1.2511353173570625e-05 loss: 0.0337 (0.0385) loss_seg: 0.0366 (0.0410) loss_lansim: 0.0771 (0.0846) loss_contra: 0.0000 (0.0023) time: 2.4982 data: 0.0025 max mem: 31671 Epoch: [31] [2220/5278] eta: 2:08:48 lr: 1.2508866952869836e-05 loss: 0.0332 (0.0385) loss_seg: 0.0360 (0.0410) loss_lansim: 0.0777 (0.0846) loss_contra: 0.0000 (0.0023) time: 2.5060 data: 0.0025 max mem: 31671 Epoch: [31] [2230/5278] eta: 2:08:23 lr: 1.250638067726195e-05 loss: 0.0333 (0.0385) loss_seg: 0.0364 (0.0410) loss_lansim: 0.0777 (0.0845) loss_contra: 0.0000 (0.0023) time: 2.5134 data: 0.0025 max mem: 31671 Epoch: [31] [2240/5278] eta: 2:07:58 lr: 1.2503894346733632e-05 loss: 0.0333 (0.0385) loss_seg: 0.0366 (0.0411) loss_lansim: 0.0776 (0.0845) loss_contra: 0.0000 (0.0023) time: 2.5172 data: 0.0025 max mem: 31671 Epoch: [31] [2250/5278] eta: 2:07:33 lr: 1.2501407961271528e-05 loss: 0.0333 (0.0385) loss_seg: 0.0366 (0.0411) loss_lansim: 0.0758 (0.0845) loss_contra: 0.0000 (0.0023) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [31] [2260/5278] eta: 2:07:08 lr: 1.2498921520862283e-05 loss: 0.0340 (0.0385) loss_seg: 0.0373 (0.0411) loss_lansim: 0.0777 (0.0845) loss_contra: 0.0000 (0.0023) time: 2.5243 data: 0.0024 max mem: 31671 Epoch: [31] [2270/5278] eta: 2:06:43 lr: 1.249643502549254e-05 loss: 0.0340 (0.0385) loss_seg: 0.0373 (0.0410) loss_lansim: 0.0784 (0.0845) loss_contra: 0.0000 (0.0023) time: 2.5307 data: 0.0025 max mem: 31671 Epoch: [31] [2280/5278] eta: 2:06:17 lr: 1.2493948475148938e-05 loss: 0.0356 (0.0384) loss_seg: 0.0383 (0.0410) loss_lansim: 0.0791 (0.0844) loss_contra: 0.0000 (0.0023) time: 2.5291 data: 0.0025 max mem: 31671 Epoch: [31] [2290/5278] eta: 2:05:53 lr: 1.2491461869818093e-05 loss: 0.0363 (0.0385) loss_seg: 0.0393 (0.0411) loss_lansim: 0.0787 (0.0844) loss_contra: 0.0000 (0.0023) time: 2.5335 data: 0.0025 max mem: 31671 Epoch: [31] [2300/5278] eta: 2:05:28 lr: 1.2488975209486632e-05 loss: 0.0364 (0.0385) loss_seg: 0.0400 (0.0411) loss_lansim: 0.0795 (0.0844) loss_contra: 0.0000 (0.0023) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [31] [2310/5278] eta: 2:05:03 lr: 1.248648849414117e-05 loss: 0.0356 (0.0385) loss_seg: 0.0379 (0.0410) loss_lansim: 0.0799 (0.0844) loss_contra: 0.0000 (0.0023) time: 2.5463 data: 0.0024 max mem: 31671 Epoch: [31] [2320/5278] eta: 2:04:38 lr: 1.248400172376832e-05 loss: 0.0334 (0.0385) loss_seg: 0.0368 (0.0410) loss_lansim: 0.0790 (0.0843) loss_contra: 0.0000 (0.0023) time: 2.5493 data: 0.0024 max mem: 31671 Epoch: [31] [2330/5278] eta: 2:04:14 lr: 1.2481514898354678e-05 loss: 0.0344 (0.0384) loss_seg: 0.0364 (0.0410) loss_lansim: 0.0782 (0.0843) loss_contra: 0.0000 (0.0023) time: 2.5532 data: 0.0024 max mem: 31671 Epoch: [31] [2340/5278] eta: 2:03:48 lr: 1.247902801788684e-05 loss: 0.0326 (0.0384) loss_seg: 0.0350 (0.0410) loss_lansim: 0.0784 (0.0843) loss_contra: 0.0000 (0.0023) time: 2.5517 data: 0.0024 max mem: 31671 Epoch: [31] [2350/5278] eta: 2:03:23 lr: 1.2476541082351401e-05 loss: 0.0331 (0.0385) loss_seg: 0.0359 (0.0411) loss_lansim: 0.0777 (0.0843) loss_contra: 0.0000 (0.0023) time: 2.5484 data: 0.0024 max mem: 31671 Epoch: [31] [2360/5278] eta: 2:02:58 lr: 1.2474054091734946e-05 loss: 0.0331 (0.0385) loss_seg: 0.0359 (0.0411) loss_lansim: 0.0761 (0.0842) loss_contra: 0.0000 (0.0023) time: 2.5508 data: 0.0024 max mem: 31671 Epoch: [31] [2370/5278] eta: 2:02:34 lr: 1.2471567046024046e-05 loss: 0.0333 (0.0385) loss_seg: 0.0364 (0.0411) loss_lansim: 0.0761 (0.0842) loss_contra: 0.0000 (0.0023) time: 2.5566 data: 0.0024 max mem: 31671 Epoch: [31] [2380/5278] eta: 2:02:08 lr: 1.2469079945205275e-05 loss: 0.0331 (0.0385) loss_seg: 0.0350 (0.0411) loss_lansim: 0.0757 (0.0842) loss_contra: 0.0000 (0.0023) time: 2.5544 data: 0.0024 max mem: 31671 Epoch: [31] [2390/5278] eta: 2:01:41 lr: 1.24665927892652e-05 loss: 0.0331 (0.0385) loss_seg: 0.0354 (0.0410) loss_lansim: 0.0760 (0.0841) loss_contra: 0.0000 (0.0023) time: 2.5343 data: 0.0024 max mem: 31671 Epoch: [31] [2400/5278] eta: 2:01:14 lr: 1.2464105578190377e-05 loss: 0.0314 (0.0384) loss_seg: 0.0342 (0.0410) loss_lansim: 0.0760 (0.0841) loss_contra: 0.0000 (0.0023) time: 2.5161 data: 0.0024 max mem: 31671 Epoch: [31] [2410/5278] eta: 2:00:48 lr: 1.2461618311967368e-05 loss: 0.0314 (0.0384) loss_seg: 0.0342 (0.0410) loss_lansim: 0.0757 (0.0841) loss_contra: 0.0000 (0.0023) time: 2.5129 data: 0.0024 max mem: 31671 Epoch: [31] [2420/5278] eta: 2:00:22 lr: 1.2459130990582705e-05 loss: 0.0333 (0.0384) loss_seg: 0.0361 (0.0410) loss_lansim: 0.0760 (0.0841) loss_contra: 0.0000 (0.0023) time: 2.5016 data: 0.0024 max mem: 31671 Epoch: [31] [2430/5278] eta: 1:59:56 lr: 1.2456643614022936e-05 loss: 0.0340 (0.0384) loss_seg: 0.0364 (0.0410) loss_lansim: 0.0766 (0.0841) loss_contra: 0.0000 (0.0023) time: 2.4842 data: 0.0024 max mem: 31671 Epoch: [31] [2440/5278] eta: 1:59:30 lr: 1.2454156182274593e-05 loss: 0.0345 (0.0384) loss_seg: 0.0365 (0.0410) loss_lansim: 0.0760 (0.0840) loss_contra: 0.0000 (0.0023) time: 2.4787 data: 0.0024 max mem: 31671 Epoch: [31] [2450/5278] eta: 1:59:03 lr: 1.2451668695324212e-05 loss: 0.0333 (0.0384) loss_seg: 0.0361 (0.0410) loss_lansim: 0.0765 (0.0840) loss_contra: 0.0000 (0.0022) time: 2.4694 data: 0.0024 max mem: 31671 Epoch: [31] [2460/5278] eta: 1:58:38 lr: 1.24491811531583e-05 loss: 0.0340 (0.0384) loss_seg: 0.0361 (0.0410) loss_lansim: 0.0770 (0.0840) loss_contra: 0.0000 (0.0022) time: 2.4614 data: 0.0024 max mem: 31671 Epoch: [31] [2470/5278] eta: 1:58:12 lr: 1.2446693555763378e-05 loss: 0.0345 (0.0384) loss_seg: 0.0364 (0.0410) loss_lansim: 0.0770 (0.0839) loss_contra: 0.0000 (0.0022) time: 2.4508 data: 0.0024 max mem: 31671 Epoch: [31] [2480/5278] eta: 1:57:45 lr: 1.2444205903125956e-05 loss: 0.0340 (0.0384) loss_seg: 0.0359 (0.0410) loss_lansim: 0.0770 (0.0839) loss_contra: 0.0000 (0.0022) time: 2.4387 data: 0.0024 max mem: 31671 Epoch: [31] [2490/5278] eta: 1:57:18 lr: 1.2441718195232543e-05 loss: 0.0331 (0.0383) loss_seg: 0.0355 (0.0409) loss_lansim: 0.0765 (0.0839) loss_contra: 0.0000 (0.0022) time: 2.4446 data: 0.0024 max mem: 31671 Epoch: [31] [2500/5278] eta: 1:56:53 lr: 1.2439230432069622e-05 loss: 0.0340 (0.0384) loss_seg: 0.0358 (0.0410) loss_lansim: 0.0762 (0.0839) loss_contra: 0.0000 (0.0022) time: 2.4535 data: 0.0024 max mem: 31671 Epoch: [31] [2510/5278] eta: 1:56:27 lr: 1.2436742613623688e-05 loss: 0.0340 (0.0384) loss_seg: 0.0358 (0.0409) loss_lansim: 0.0754 (0.0838) loss_contra: 0.0000 (0.0022) time: 2.4474 data: 0.0024 max mem: 31671 Epoch: [31] [2520/5278] eta: 1:56:02 lr: 1.2434254739881226e-05 loss: 0.0313 (0.0383) loss_seg: 0.0335 (0.0409) loss_lansim: 0.0742 (0.0838) loss_contra: 0.0000 (0.0022) time: 2.4580 data: 0.0024 max mem: 31671 Epoch: [31] [2530/5278] eta: 1:55:37 lr: 1.2431766810828718e-05 loss: 0.0311 (0.0383) loss_seg: 0.0335 (0.0409) loss_lansim: 0.0742 (0.0838) loss_contra: 0.0000 (0.0022) time: 2.4727 data: 0.0024 max mem: 31671 Epoch: [31] [2540/5278] eta: 1:55:12 lr: 1.2429278826452626e-05 loss: 0.0311 (0.0383) loss_seg: 0.0335 (0.0409) loss_lansim: 0.0734 (0.0837) loss_contra: 0.0000 (0.0022) time: 2.4790 data: 0.0025 max mem: 31671 Epoch: [31] [2550/5278] eta: 1:54:47 lr: 1.2426790786739414e-05 loss: 0.0326 (0.0383) loss_seg: 0.0340 (0.0409) loss_lansim: 0.0732 (0.0837) loss_contra: 0.0000 (0.0022) time: 2.4894 data: 0.0024 max mem: 31671 Epoch: [31] [2560/5278] eta: 1:54:20 lr: 1.2424302691675547e-05 loss: 0.0320 (0.0383) loss_seg: 0.0342 (0.0409) loss_lansim: 0.0734 (0.0837) loss_contra: 0.0000 (0.0022) time: 2.4779 data: 0.0025 max mem: 31671 Epoch: [31] [2570/5278] eta: 1:53:55 lr: 1.242181454124748e-05 loss: 0.0312 (0.0383) loss_seg: 0.0335 (0.0409) loss_lansim: 0.0736 (0.0836) loss_contra: 0.0000 (0.0022) time: 2.4796 data: 0.0025 max mem: 31671 Epoch: [31] [2580/5278] eta: 1:53:28 lr: 1.2419326335441647e-05 loss: 0.0305 (0.0382) loss_seg: 0.0335 (0.0408) loss_lansim: 0.0736 (0.0836) loss_contra: 0.0000 (0.0022) time: 2.4876 data: 0.0025 max mem: 31671 Epoch: [31] [2590/5278] eta: 1:53:03 lr: 1.2416838074244494e-05 loss: 0.0306 (0.0382) loss_seg: 0.0335 (0.0408) loss_lansim: 0.0739 (0.0836) loss_contra: 0.0000 (0.0022) time: 2.4992 data: 0.0024 max mem: 31671 Epoch: [31] [2600/5278] eta: 1:52:38 lr: 1.2414349757642451e-05 loss: 0.0313 (0.0383) loss_seg: 0.0343 (0.0408) loss_lansim: 0.0732 (0.0836) loss_contra: 0.0000 (0.0023) time: 2.5000 data: 0.0024 max mem: 31671 Epoch: [31] [2610/5278] eta: 1:52:12 lr: 1.2411861385621955e-05 loss: 0.0316 (0.0382) loss_seg: 0.0344 (0.0408) loss_lansim: 0.0731 (0.0835) loss_contra: 0.0000 (0.0023) time: 2.5015 data: 0.0024 max mem: 31671 Epoch: [31] [2620/5278] eta: 1:51:46 lr: 1.240937295816941e-05 loss: 0.0321 (0.0383) loss_seg: 0.0350 (0.0409) loss_lansim: 0.0731 (0.0835) loss_contra: 0.0000 (0.0023) time: 2.4924 data: 0.0023 max mem: 31671 Epoch: [31] [2630/5278] eta: 1:51:20 lr: 1.2406884475271238e-05 loss: 0.0320 (0.0382) loss_seg: 0.0348 (0.0408) loss_lansim: 0.0734 (0.0835) loss_contra: 0.0000 (0.0023) time: 2.4811 data: 0.0023 max mem: 31671 Epoch: [31] [2640/5278] eta: 1:50:55 lr: 1.2404395936913847e-05 loss: 0.0321 (0.0383) loss_seg: 0.0350 (0.0408) loss_lansim: 0.0753 (0.0835) loss_contra: 0.0000 (0.0023) time: 2.4759 data: 0.0023 max mem: 31671 Epoch: [31] [2650/5278] eta: 1:50:28 lr: 1.2401907343083638e-05 loss: 0.0321 (0.0383) loss_seg: 0.0348 (0.0409) loss_lansim: 0.0754 (0.0834) loss_contra: 0.0000 (0.0023) time: 2.4636 data: 0.0023 max mem: 31671 Epoch: [31] [2660/5278] eta: 1:50:03 lr: 1.2399418693767009e-05 loss: 0.0327 (0.0383) loss_seg: 0.0350 (0.0409) loss_lansim: 0.0742 (0.0834) loss_contra: 0.0000 (0.0023) time: 2.4729 data: 0.0023 max mem: 31671 Epoch: [31] [2670/5278] eta: 1:49:37 lr: 1.2396929988950342e-05 loss: 0.0328 (0.0383) loss_seg: 0.0350 (0.0409) loss_lansim: 0.0738 (0.0834) loss_contra: 0.0000 (0.0023) time: 2.4739 data: 0.0023 max mem: 31671 Epoch: [31] [2680/5278] eta: 1:49:11 lr: 1.2394441228620018e-05 loss: 0.0345 (0.0383) loss_seg: 0.0352 (0.0409) loss_lansim: 0.0733 (0.0833) loss_contra: 0.0000 (0.0023) time: 2.4751 data: 0.0023 max mem: 31671 Epoch: [31] [2690/5278] eta: 1:48:46 lr: 1.2391952412762418e-05 loss: 0.0350 (0.0383) loss_seg: 0.0365 (0.0409) loss_lansim: 0.0734 (0.0833) loss_contra: 0.0000 (0.0023) time: 2.4754 data: 0.0023 max mem: 31671 Epoch: [31] [2700/5278] eta: 1:48:21 lr: 1.2389463541363914e-05 loss: 0.0350 (0.0383) loss_seg: 0.0365 (0.0409) loss_lansim: 0.0738 (0.0832) loss_contra: 0.0000 (0.0023) time: 2.4724 data: 0.0024 max mem: 31671 Epoch: [31] [2710/5278] eta: 1:47:54 lr: 1.2386974614410862e-05 loss: 0.0350 (0.0383) loss_seg: 0.0365 (0.0409) loss_lansim: 0.0738 (0.0832) loss_contra: 0.0000 (0.0023) time: 2.4671 data: 0.0024 max mem: 31671 Epoch: [31] [2720/5278] eta: 1:47:28 lr: 1.2384485631889617e-05 loss: 0.0350 (0.0383) loss_seg: 0.0373 (0.0409) loss_lansim: 0.0746 (0.0832) loss_contra: 0.0000 (0.0023) time: 2.4634 data: 0.0024 max mem: 31671 Epoch: [31] [2730/5278] eta: 1:47:03 lr: 1.2381996593786535e-05 loss: 0.0355 (0.0383) loss_seg: 0.0383 (0.0409) loss_lansim: 0.0738 (0.0832) loss_contra: 0.0000 (0.0023) time: 2.4747 data: 0.0024 max mem: 31671 Epoch: [31] [2740/5278] eta: 1:46:38 lr: 1.2379507500087962e-05 loss: 0.0358 (0.0383) loss_seg: 0.0385 (0.0409) loss_lansim: 0.0737 (0.0831) loss_contra: 0.0000 (0.0023) time: 2.4783 data: 0.0023 max mem: 31671 Epoch: [31] [2750/5278] eta: 1:46:14 lr: 1.2377018350780228e-05 loss: 0.0345 (0.0383) loss_seg: 0.0359 (0.0409) loss_lansim: 0.0733 (0.0831) loss_contra: 0.0000 (0.0023) time: 2.4966 data: 0.0024 max mem: 31671 Epoch: [31] [2760/5278] eta: 1:45:48 lr: 1.2374529145849664e-05 loss: 0.0350 (0.0383) loss_seg: 0.0372 (0.0409) loss_lansim: 0.0733 (0.0831) loss_contra: 0.0000 (0.0023) time: 2.4946 data: 0.0024 max mem: 31671 Epoch: [31] [2770/5278] eta: 1:45:23 lr: 1.2372039885282598e-05 loss: 0.0358 (0.0383) loss_seg: 0.0383 (0.0409) loss_lansim: 0.0725 (0.0830) loss_contra: 0.0000 (0.0023) time: 2.4968 data: 0.0024 max mem: 31671 Epoch: [31] [2780/5278] eta: 1:44:58 lr: 1.2369550569065354e-05 loss: 0.0350 (0.0383) loss_seg: 0.0375 (0.0409) loss_lansim: 0.0734 (0.0830) loss_contra: 0.0000 (0.0023) time: 2.5044 data: 0.0024 max mem: 31671 Epoch: [31] [2790/5278] eta: 1:44:31 lr: 1.2367061197184229e-05 loss: 0.0360 (0.0383) loss_seg: 0.0377 (0.0409) loss_lansim: 0.0729 (0.0830) loss_contra: 0.0000 (0.0023) time: 2.4909 data: 0.0023 max mem: 31671 Epoch: [31] [2800/5278] eta: 1:44:06 lr: 1.2364571769625538e-05 loss: 0.0360 (0.0383) loss_seg: 0.0385 (0.0409) loss_lansim: 0.0729 (0.0829) loss_contra: 0.0000 (0.0023) time: 2.4927 data: 0.0023 max mem: 31671 Epoch: [31] [2810/5278] eta: 1:43:40 lr: 1.2362082286375577e-05 loss: 0.0355 (0.0383) loss_seg: 0.0375 (0.0409) loss_lansim: 0.0725 (0.0829) loss_contra: 0.0000 (0.0023) time: 2.5006 data: 0.0023 max mem: 31671 Epoch: [31] [2820/5278] eta: 1:43:14 lr: 1.2359592747420645e-05 loss: 0.0343 (0.0383) loss_seg: 0.0359 (0.0409) loss_lansim: 0.0722 (0.0829) loss_contra: 0.0000 (0.0023) time: 2.4986 data: 0.0023 max mem: 31671 Epoch: [31] [2830/5278] eta: 1:42:49 lr: 1.2357103152747016e-05 loss: 0.0344 (0.0383) loss_seg: 0.0374 (0.0409) loss_lansim: 0.0725 (0.0829) loss_contra: 0.0000 (0.0023) time: 2.4937 data: 0.0023 max mem: 31671 Epoch: [31] [2840/5278] eta: 1:42:23 lr: 1.2354613502340976e-05 loss: 0.0352 (0.0383) loss_seg: 0.0375 (0.0409) loss_lansim: 0.0730 (0.0828) loss_contra: 0.0000 (0.0023) time: 2.4867 data: 0.0023 max mem: 31671 Epoch: [31] [2850/5278] eta: 1:41:57 lr: 1.2352123796188796e-05 loss: 0.0360 (0.0383) loss_seg: 0.0379 (0.0409) loss_lansim: 0.0737 (0.0828) loss_contra: 0.0000 (0.0023) time: 2.4696 data: 0.0023 max mem: 31671 Epoch: [31] [2860/5278] eta: 1:41:33 lr: 1.234963403427675e-05 loss: 0.0352 (0.0383) loss_seg: 0.0377 (0.0409) loss_lansim: 0.0738 (0.0828) loss_contra: 0.0000 (0.0023) time: 2.4858 data: 0.0023 max mem: 31671 Epoch: [31] [2870/5278] eta: 1:41:06 lr: 1.2347144216591086e-05 loss: 0.0343 (0.0383) loss_seg: 0.0374 (0.0409) loss_lansim: 0.0747 (0.0828) loss_contra: 0.0001 (0.0023) time: 2.4708 data: 0.0023 max mem: 31671 Epoch: [31] [2880/5278] eta: 1:40:41 lr: 1.2344654343118063e-05 loss: 0.0344 (0.0383) loss_seg: 0.0374 (0.0409) loss_lansim: 0.0743 (0.0827) loss_contra: 0.0001 (0.0022) time: 2.4635 data: 0.0023 max mem: 31671 Epoch: [31] [2890/5278] eta: 1:40:16 lr: 1.234216441384393e-05 loss: 0.0323 (0.0382) loss_seg: 0.0348 (0.0408) loss_lansim: 0.0750 (0.0827) loss_contra: 0.0001 (0.0023) time: 2.4762 data: 0.0023 max mem: 31671 Epoch: [31] [2900/5278] eta: 1:39:49 lr: 1.2339674428754926e-05 loss: 0.0323 (0.0383) loss_seg: 0.0346 (0.0409) loss_lansim: 0.0750 (0.0827) loss_contra: 0.0000 (0.0022) time: 2.4670 data: 0.0023 max mem: 31671 Epoch: [31] [2910/5278] eta: 1:39:24 lr: 1.233718438783729e-05 loss: 0.0318 (0.0383) loss_seg: 0.0342 (0.0408) loss_lansim: 0.0751 (0.0826) loss_contra: 0.0000 (0.0023) time: 2.4637 data: 0.0023 max mem: 31671 Epoch: [31] [2920/5278] eta: 1:38:58 lr: 1.2334694291077239e-05 loss: 0.0325 (0.0383) loss_seg: 0.0351 (0.0408) loss_lansim: 0.0751 (0.0826) loss_contra: 0.0000 (0.0022) time: 2.4652 data: 0.0023 max mem: 31671 Epoch: [31] [2930/5278] eta: 1:38:33 lr: 1.2332204138461001e-05 loss: 0.0311 (0.0382) loss_seg: 0.0339 (0.0408) loss_lansim: 0.0747 (0.0826) loss_contra: 0.0000 (0.0022) time: 2.4664 data: 0.0023 max mem: 31671 Epoch: [31] [2940/5278] eta: 1:38:07 lr: 1.232971392997479e-05 loss: 0.0316 (0.0383) loss_seg: 0.0342 (0.0409) loss_lansim: 0.0747 (0.0826) loss_contra: 0.0000 (0.0022) time: 2.4676 data: 0.0024 max mem: 31671 Epoch: [31] [2950/5278] eta: 1:37:42 lr: 1.2327223665604818e-05 loss: 0.0319 (0.0383) loss_seg: 0.0346 (0.0409) loss_lansim: 0.0739 (0.0825) loss_contra: 0.0000 (0.0022) time: 2.4744 data: 0.0024 max mem: 31671 Epoch: [31] [2960/5278] eta: 1:37:16 lr: 1.232473334533728e-05 loss: 0.0316 (0.0382) loss_seg: 0.0340 (0.0408) loss_lansim: 0.0751 (0.0825) loss_contra: 0.0000 (0.0022) time: 2.4591 data: 0.0024 max mem: 31671 Epoch: [31] [2970/5278] eta: 1:36:50 lr: 1.2322242969158371e-05 loss: 0.0319 (0.0382) loss_seg: 0.0339 (0.0408) loss_lansim: 0.0755 (0.0825) loss_contra: 0.0000 (0.0022) time: 2.4642 data: 0.0024 max mem: 31671 Epoch: [31] [2980/5278] eta: 1:36:24 lr: 1.2319752537054285e-05 loss: 0.0311 (0.0382) loss_seg: 0.0339 (0.0408) loss_lansim: 0.0761 (0.0825) loss_contra: 0.0000 (0.0022) time: 2.4602 data: 0.0024 max mem: 31671 Epoch: [31] [2990/5278] eta: 1:35:59 lr: 1.2317262049011206e-05 loss: 0.0311 (0.0382) loss_seg: 0.0339 (0.0408) loss_lansim: 0.0752 (0.0824) loss_contra: 0.0000 (0.0022) time: 2.4601 data: 0.0025 max mem: 31671 Epoch: [31] [3000/5278] eta: 1:35:33 lr: 1.23147715050153e-05 loss: 0.0309 (0.0382) loss_seg: 0.0337 (0.0408) loss_lansim: 0.0752 (0.0824) loss_contra: 0.0000 (0.0022) time: 2.4634 data: 0.0024 max mem: 31671 Epoch: [31] [3010/5278] eta: 1:35:08 lr: 1.2312280905052742e-05 loss: 0.0311 (0.0382) loss_seg: 0.0338 (0.0408) loss_lansim: 0.0752 (0.0824) loss_contra: 0.0000 (0.0022) time: 2.4643 data: 0.0024 max mem: 31671 Epoch: [31] [3020/5278] eta: 1:34:42 lr: 1.2309790249109694e-05 loss: 0.0311 (0.0382) loss_seg: 0.0337 (0.0408) loss_lansim: 0.0760 (0.0824) loss_contra: 0.0000 (0.0022) time: 2.4694 data: 0.0024 max mem: 31671 Epoch: [31] [3030/5278] eta: 1:34:17 lr: 1.2307299537172317e-05 loss: 0.0322 (0.0382) loss_seg: 0.0344 (0.0408) loss_lansim: 0.0759 (0.0824) loss_contra: 0.0000 (0.0022) time: 2.4669 data: 0.0025 max mem: 31671 Epoch: [31] [3040/5278] eta: 1:33:52 lr: 1.2304808769226754e-05 loss: 0.0314 (0.0382) loss_seg: 0.0337 (0.0408) loss_lansim: 0.0759 (0.0823) loss_contra: 0.0000 (0.0022) time: 2.4712 data: 0.0024 max mem: 31671 Epoch: [31] [3050/5278] eta: 1:33:27 lr: 1.2302317945259144e-05 loss: 0.0328 (0.0382) loss_seg: 0.0339 (0.0408) loss_lansim: 0.0760 (0.0823) loss_contra: 0.0000 (0.0022) time: 2.4771 data: 0.0024 max mem: 31671 Epoch: [31] [3060/5278] eta: 1:33:01 lr: 1.2299827065255633e-05 loss: 0.0333 (0.0382) loss_seg: 0.0365 (0.0408) loss_lansim: 0.0759 (0.0823) loss_contra: 0.0000 (0.0022) time: 2.4715 data: 0.0024 max mem: 31671 Epoch: [31] [3070/5278] eta: 1:32:35 lr: 1.2297336129202352e-05 loss: 0.0348 (0.0382) loss_seg: 0.0370 (0.0408) loss_lansim: 0.0757 (0.0823) loss_contra: 0.0000 (0.0022) time: 2.4722 data: 0.0023 max mem: 31671 Epoch: [31] [3080/5278] eta: 1:32:09 lr: 1.2294845137085412e-05 loss: 0.0349 (0.0382) loss_seg: 0.0384 (0.0408) loss_lansim: 0.0750 (0.0823) loss_contra: 0.0000 (0.0022) time: 2.4721 data: 0.0023 max mem: 31671 Epoch: [31] [3090/5278] eta: 1:31:43 lr: 1.2292354088890938e-05 loss: 0.0367 (0.0383) loss_seg: 0.0387 (0.0409) loss_lansim: 0.0756 (0.0822) loss_contra: 0.0000 (0.0022) time: 2.4591 data: 0.0023 max mem: 31671 Epoch: [31] [3100/5278] eta: 1:31:18 lr: 1.2289862984605038e-05 loss: 0.0369 (0.0383) loss_seg: 0.0391 (0.0409) loss_lansim: 0.0756 (0.0822) loss_contra: 0.0000 (0.0022) time: 2.4670 data: 0.0023 max mem: 31671 Epoch: [31] [3110/5278] eta: 1:30:53 lr: 1.2287371824213825e-05 loss: 0.0376 (0.0383) loss_seg: 0.0396 (0.0409) loss_lansim: 0.0749 (0.0822) loss_contra: 0.0000 (0.0022) time: 2.4751 data: 0.0023 max mem: 31671 Epoch: [31] [3120/5278] eta: 1:30:28 lr: 1.228488060770338e-05 loss: 0.0372 (0.0383) loss_seg: 0.0402 (0.0409) loss_lansim: 0.0744 (0.0822) loss_contra: 0.0000 (0.0022) time: 2.4732 data: 0.0023 max mem: 31671 Epoch: [31] [3130/5278] eta: 1:30:02 lr: 1.2282389335059803e-05 loss: 0.0390 (0.0383) loss_seg: 0.0402 (0.0410) loss_lansim: 0.0744 (0.0821) loss_contra: 0.0000 (0.0022) time: 2.4616 data: 0.0023 max mem: 31671 Epoch: [31] [3140/5278] eta: 1:29:37 lr: 1.2279898006269177e-05 loss: 0.0390 (0.0383) loss_seg: 0.0398 (0.0410) loss_lansim: 0.0744 (0.0821) loss_contra: 0.0000 (0.0022) time: 2.4674 data: 0.0023 max mem: 31671 Epoch: [31] [3150/5278] eta: 1:29:11 lr: 1.2277406621317578e-05 loss: 0.0386 (0.0384) loss_seg: 0.0398 (0.0410) loss_lansim: 0.0744 (0.0821) loss_contra: 0.0000 (0.0022) time: 2.4618 data: 0.0023 max mem: 31671 Epoch: [31] [3160/5278] eta: 1:28:46 lr: 1.2274915180191082e-05 loss: 0.0371 (0.0384) loss_seg: 0.0393 (0.0410) loss_lansim: 0.0744 (0.0821) loss_contra: 0.0000 (0.0022) time: 2.4644 data: 0.0024 max mem: 31671 Epoch: [31] [3170/5278] eta: 1:28:20 lr: 1.2272423682875744e-05 loss: 0.0364 (0.0384) loss_seg: 0.0385 (0.0410) loss_lansim: 0.0742 (0.0821) loss_contra: 0.0000 (0.0022) time: 2.4668 data: 0.0024 max mem: 31671 Epoch: [31] [3180/5278] eta: 1:27:55 lr: 1.2269932129357627e-05 loss: 0.0360 (0.0384) loss_seg: 0.0383 (0.0410) loss_lansim: 0.0744 (0.0820) loss_contra: 0.0000 (0.0022) time: 2.4707 data: 0.0024 max mem: 31671 Epoch: [31] [3190/5278] eta: 1:27:29 lr: 1.2267440519622778e-05 loss: 0.0350 (0.0383) loss_seg: 0.0377 (0.0409) loss_lansim: 0.0744 (0.0820) loss_contra: 0.0000 (0.0022) time: 2.4681 data: 0.0024 max mem: 31671 Epoch: [31] [3200/5278] eta: 1:27:03 lr: 1.2264948853657253e-05 loss: 0.0350 (0.0383) loss_seg: 0.0379 (0.0409) loss_lansim: 0.0744 (0.0820) loss_contra: 0.0000 (0.0022) time: 2.4556 data: 0.0024 max mem: 31671 Epoch: [31] [3210/5278] eta: 1:26:38 lr: 1.2262457131447073e-05 loss: 0.0344 (0.0383) loss_seg: 0.0366 (0.0409) loss_lansim: 0.0747 (0.0820) loss_contra: 0.0000 (0.0022) time: 2.4522 data: 0.0024 max mem: 31671 Epoch: [31] [3220/5278] eta: 1:26:12 lr: 1.2259965352978279e-05 loss: 0.0339 (0.0383) loss_seg: 0.0362 (0.0409) loss_lansim: 0.0750 (0.0820) loss_contra: 0.0000 (0.0022) time: 2.4497 data: 0.0024 max mem: 31671 Epoch: [31] [3230/5278] eta: 1:25:46 lr: 1.2257473518236892e-05 loss: 0.0321 (0.0383) loss_seg: 0.0336 (0.0409) loss_lansim: 0.0747 (0.0819) loss_contra: 0.0000 (0.0022) time: 2.4557 data: 0.0025 max mem: 31671 Epoch: [31] [3240/5278] eta: 1:25:21 lr: 1.2254981627208936e-05 loss: 0.0311 (0.0383) loss_seg: 0.0322 (0.0409) loss_lansim: 0.0742 (0.0819) loss_contra: 0.0000 (0.0022) time: 2.4507 data: 0.0025 max mem: 31671 Epoch: [31] [3250/5278] eta: 1:24:56 lr: 1.2252489679880414e-05 loss: 0.0296 (0.0383) loss_seg: 0.0315 (0.0409) loss_lansim: 0.0741 (0.0819) loss_contra: 0.0000 (0.0022) time: 2.4508 data: 0.0024 max mem: 31671 Epoch: [31] [3260/5278] eta: 1:24:30 lr: 1.2249997676237332e-05 loss: 0.0299 (0.0383) loss_seg: 0.0318 (0.0409) loss_lansim: 0.0741 (0.0819) loss_contra: 0.0000 (0.0022) time: 2.4515 data: 0.0024 max mem: 31671 Epoch: [31] [3270/5278] eta: 1:24:05 lr: 1.2247505616265691e-05 loss: 0.0318 (0.0383) loss_seg: 0.0334 (0.0409) loss_lansim: 0.0743 (0.0819) loss_contra: 0.0000 (0.0021) time: 2.4482 data: 0.0024 max mem: 31671 Epoch: [31] [3280/5278] eta: 1:23:39 lr: 1.2245013499951486e-05 loss: 0.0317 (0.0383) loss_seg: 0.0332 (0.0409) loss_lansim: 0.0741 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.4501 data: 0.0024 max mem: 31671 Epoch: [31] [3290/5278] eta: 1:23:14 lr: 1.2242521327280692e-05 loss: 0.0321 (0.0383) loss_seg: 0.0340 (0.0409) loss_lansim: 0.0741 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.4579 data: 0.0025 max mem: 31671 Epoch: [31] [3300/5278] eta: 1:22:48 lr: 1.2240029098239292e-05 loss: 0.0346 (0.0384) loss_seg: 0.0367 (0.0410) loss_lansim: 0.0738 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.4518 data: 0.0025 max mem: 31671 Epoch: [31] [3310/5278] eta: 1:22:22 lr: 1.2237536812813254e-05 loss: 0.0346 (0.0384) loss_seg: 0.0367 (0.0410) loss_lansim: 0.0740 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.4444 data: 0.0024 max mem: 31671 Epoch: [31] [3320/5278] eta: 1:21:56 lr: 1.2235044470988555e-05 loss: 0.0346 (0.0384) loss_seg: 0.0360 (0.0410) loss_lansim: 0.0738 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.4423 data: 0.0024 max mem: 31671 Epoch: [31] [3330/5278] eta: 1:21:31 lr: 1.2232552072751135e-05 loss: 0.0349 (0.0384) loss_seg: 0.0367 (0.0410) loss_lansim: 0.0740 (0.0818) loss_contra: 0.0000 (0.0021) time: 2.4476 data: 0.0024 max mem: 31671 Epoch: [31] [3340/5278] eta: 1:21:06 lr: 1.2230059618086956e-05 loss: 0.0349 (0.0383) loss_seg: 0.0360 (0.0410) loss_lansim: 0.0767 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4397 data: 0.0024 max mem: 31671 Epoch: [31] [3350/5278] eta: 1:20:40 lr: 1.222756710698196e-05 loss: 0.0321 (0.0383) loss_seg: 0.0339 (0.0409) loss_lansim: 0.0758 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4390 data: 0.0024 max mem: 31671 Epoch: [31] [3360/5278] eta: 1:20:15 lr: 1.2225074539422089e-05 loss: 0.0360 (0.0384) loss_seg: 0.0360 (0.0410) loss_lansim: 0.0747 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4448 data: 0.0024 max mem: 31671 Epoch: [31] [3370/5278] eta: 1:19:50 lr: 1.2222581915393265e-05 loss: 0.0326 (0.0384) loss_seg: 0.0351 (0.0410) loss_lansim: 0.0746 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4516 data: 0.0024 max mem: 31671 Epoch: [31] [3380/5278] eta: 1:19:25 lr: 1.2220089234881418e-05 loss: 0.0328 (0.0384) loss_seg: 0.0352 (0.0410) loss_lansim: 0.0758 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4596 data: 0.0024 max mem: 31671 Epoch: [31] [3390/5278] eta: 1:19:00 lr: 1.2217596497872467e-05 loss: 0.0320 (0.0384) loss_seg: 0.0350 (0.0410) loss_lansim: 0.0760 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4578 data: 0.0024 max mem: 31671 Epoch: [31] [3400/5278] eta: 1:18:34 lr: 1.2215103704352322e-05 loss: 0.0310 (0.0383) loss_seg: 0.0335 (0.0410) loss_lansim: 0.0770 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4723 data: 0.0023 max mem: 31671 Epoch: [31] [3410/5278] eta: 1:18:09 lr: 1.2212610854306891e-05 loss: 0.0320 (0.0384) loss_seg: 0.0350 (0.0410) loss_lansim: 0.0770 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4780 data: 0.0023 max mem: 31671 Epoch: [31] [3420/5278] eta: 1:17:44 lr: 1.2210117947722063e-05 loss: 0.0319 (0.0384) loss_seg: 0.0339 (0.0410) loss_lansim: 0.0773 (0.0817) loss_contra: 0.0000 (0.0021) time: 2.4822 data: 0.0023 max mem: 31671 Epoch: [31] [3430/5278] eta: 1:17:18 lr: 1.2207624984583734e-05 loss: 0.0319 (0.0384) loss_seg: 0.0339 (0.0410) loss_lansim: 0.0773 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4790 data: 0.0023 max mem: 31671 Epoch: [31] [3440/5278] eta: 1:16:53 lr: 1.2205131964877788e-05 loss: 0.0326 (0.0384) loss_seg: 0.0350 (0.0410) loss_lansim: 0.0770 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4790 data: 0.0023 max mem: 31671 Epoch: [31] [3450/5278] eta: 1:16:28 lr: 1.2202638888590108e-05 loss: 0.0328 (0.0383) loss_seg: 0.0351 (0.0409) loss_lansim: 0.0768 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4791 data: 0.0023 max mem: 31671 Epoch: [31] [3460/5278] eta: 1:16:02 lr: 1.2200145755706555e-05 loss: 0.0320 (0.0383) loss_seg: 0.0337 (0.0409) loss_lansim: 0.0768 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4786 data: 0.0023 max mem: 31671 Epoch: [31] [3470/5278] eta: 1:15:37 lr: 1.2197652566212996e-05 loss: 0.0313 (0.0383) loss_seg: 0.0334 (0.0410) loss_lansim: 0.0784 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4795 data: 0.0023 max mem: 31671 Epoch: [31] [3480/5278] eta: 1:15:12 lr: 1.219515932009529e-05 loss: 0.0326 (0.0383) loss_seg: 0.0335 (0.0410) loss_lansim: 0.0773 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4724 data: 0.0023 max mem: 31671 Epoch: [31] [3490/5278] eta: 1:14:47 lr: 1.2192666017339294e-05 loss: 0.0326 (0.0383) loss_seg: 0.0335 (0.0410) loss_lansim: 0.0772 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4731 data: 0.0023 max mem: 31671 Epoch: [31] [3500/5278] eta: 1:14:21 lr: 1.2190172657930838e-05 loss: 0.0336 (0.0384) loss_seg: 0.0364 (0.0410) loss_lansim: 0.0772 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4741 data: 0.0023 max mem: 31671 Epoch: [31] [3510/5278] eta: 1:13:56 lr: 1.2187679241855766e-05 loss: 0.0307 (0.0384) loss_seg: 0.0335 (0.0410) loss_lansim: 0.0785 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4766 data: 0.0024 max mem: 31671 Epoch: [31] [3520/5278] eta: 1:13:31 lr: 1.2185185769099911e-05 loss: 0.0308 (0.0384) loss_seg: 0.0336 (0.0410) loss_lansim: 0.0785 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4741 data: 0.0024 max mem: 31671 Epoch: [31] [3530/5278] eta: 1:13:06 lr: 1.2182692239649098e-05 loss: 0.0326 (0.0384) loss_seg: 0.0341 (0.0410) loss_lansim: 0.0785 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4766 data: 0.0024 max mem: 31671 Epoch: [31] [3540/5278] eta: 1:12:40 lr: 1.2180198653489133e-05 loss: 0.0326 (0.0384) loss_seg: 0.0347 (0.0410) loss_lansim: 0.0787 (0.0816) loss_contra: 0.0000 (0.0021) time: 2.4782 data: 0.0023 max mem: 31671 Epoch: [31] [3550/5278] eta: 1:12:15 lr: 1.2177705010605834e-05 loss: 0.0327 (0.0384) loss_seg: 0.0351 (0.0410) loss_lansim: 0.0792 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4719 data: 0.0023 max mem: 31671 Epoch: [31] [3560/5278] eta: 1:11:50 lr: 1.2175211310985002e-05 loss: 0.0331 (0.0384) loss_seg: 0.0357 (0.0410) loss_lansim: 0.0798 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4743 data: 0.0023 max mem: 31671 Epoch: [31] [3570/5278] eta: 1:11:24 lr: 1.2172717554612442e-05 loss: 0.0330 (0.0384) loss_seg: 0.0356 (0.0410) loss_lansim: 0.0788 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4688 data: 0.0024 max mem: 31671 Epoch: [31] [3580/5278] eta: 1:10:59 lr: 1.2170223741473926e-05 loss: 0.0333 (0.0384) loss_seg: 0.0357 (0.0410) loss_lansim: 0.0802 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4649 data: 0.0024 max mem: 31671 Epoch: [31] [3590/5278] eta: 1:10:34 lr: 1.216772987155525e-05 loss: 0.0327 (0.0383) loss_seg: 0.0351 (0.0410) loss_lansim: 0.0806 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4789 data: 0.0024 max mem: 31671 Epoch: [31] [3600/5278] eta: 1:10:09 lr: 1.2165235944842187e-05 loss: 0.0326 (0.0383) loss_seg: 0.0347 (0.0410) loss_lansim: 0.0815 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4703 data: 0.0024 max mem: 31671 Epoch: [31] [3610/5278] eta: 1:09:43 lr: 1.2162741961320511e-05 loss: 0.0334 (0.0384) loss_seg: 0.0357 (0.0410) loss_lansim: 0.0814 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4641 data: 0.0024 max mem: 31671 Epoch: [31] [3620/5278] eta: 1:09:18 lr: 1.2160247920975974e-05 loss: 0.0340 (0.0384) loss_seg: 0.0364 (0.0410) loss_lansim: 0.0810 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4669 data: 0.0024 max mem: 31671 Epoch: [31] [3630/5278] eta: 1:08:53 lr: 1.2157753823794335e-05 loss: 0.0348 (0.0384) loss_seg: 0.0370 (0.0410) loss_lansim: 0.0797 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4705 data: 0.0024 max mem: 31671 Epoch: [31] [3640/5278] eta: 1:08:28 lr: 1.2155259669761345e-05 loss: 0.0346 (0.0384) loss_seg: 0.0370 (0.0410) loss_lansim: 0.0788 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4702 data: 0.0024 max mem: 31671 Epoch: [31] [3650/5278] eta: 1:08:02 lr: 1.2152765458862748e-05 loss: 0.0346 (0.0383) loss_seg: 0.0370 (0.0409) loss_lansim: 0.0782 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4742 data: 0.0024 max mem: 31671 Epoch: [31] [3660/5278] eta: 1:07:37 lr: 1.215027119108428e-05 loss: 0.0353 (0.0383) loss_seg: 0.0374 (0.0410) loss_lansim: 0.0778 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4731 data: 0.0024 max mem: 31671 Epoch: [31] [3670/5278] eta: 1:07:12 lr: 1.2147776866411664e-05 loss: 0.0357 (0.0384) loss_seg: 0.0377 (0.0410) loss_lansim: 0.0793 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4703 data: 0.0024 max mem: 31671 Epoch: [31] [3680/5278] eta: 1:06:46 lr: 1.2145282484830622e-05 loss: 0.0353 (0.0384) loss_seg: 0.0372 (0.0410) loss_lansim: 0.0796 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4696 data: 0.0024 max mem: 31671 Epoch: [31] [3690/5278] eta: 1:06:21 lr: 1.2142788046326868e-05 loss: 0.0357 (0.0384) loss_seg: 0.0377 (0.0410) loss_lansim: 0.0807 (0.0816) loss_contra: 0.0000 (0.0020) time: 2.4481 data: 0.0024 max mem: 31671 Epoch: [31] [3700/5278] eta: 1:05:55 lr: 1.214029355088612e-05 loss: 0.0346 (0.0384) loss_seg: 0.0368 (0.0410) loss_lansim: 0.0810 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4484 data: 0.0024 max mem: 31671 Epoch: [31] [3710/5278] eta: 1:05:30 lr: 1.2137798998494065e-05 loss: 0.0336 (0.0384) loss_seg: 0.0366 (0.0410) loss_lansim: 0.0810 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4477 data: 0.0024 max mem: 31671 Epoch: [31] [3720/5278] eta: 1:05:05 lr: 1.2135304389136402e-05 loss: 0.0334 (0.0384) loss_seg: 0.0362 (0.0410) loss_lansim: 0.0814 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4464 data: 0.0024 max mem: 31671 Epoch: [31] [3730/5278] eta: 1:04:39 lr: 1.213280972279882e-05 loss: 0.0328 (0.0384) loss_seg: 0.0348 (0.0410) loss_lansim: 0.0831 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4418 data: 0.0024 max mem: 31671 Epoch: [31] [3740/5278] eta: 1:04:14 lr: 1.2130314999467005e-05 loss: 0.0328 (0.0384) loss_seg: 0.0348 (0.0410) loss_lansim: 0.0831 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4498 data: 0.0023 max mem: 31671 Epoch: [31] [3750/5278] eta: 1:03:49 lr: 1.2127820219126616e-05 loss: 0.0337 (0.0384) loss_seg: 0.0361 (0.0410) loss_lansim: 0.0844 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4491 data: 0.0023 max mem: 31671 Epoch: [31] [3760/5278] eta: 1:03:24 lr: 1.2125325381763329e-05 loss: 0.0334 (0.0384) loss_seg: 0.0348 (0.0410) loss_lansim: 0.0845 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4419 data: 0.0023 max mem: 31671 Epoch: [31] [3770/5278] eta: 1:02:58 lr: 1.2122830487362802e-05 loss: 0.0333 (0.0384) loss_seg: 0.0348 (0.0410) loss_lansim: 0.0837 (0.0817) loss_contra: 0.0001 (0.0023) time: 2.4408 data: 0.0023 max mem: 31671 Epoch: [31] [3780/5278] eta: 1:02:33 lr: 1.2120335535910694e-05 loss: 0.0319 (0.0384) loss_seg: 0.0342 (0.0410) loss_lansim: 0.0834 (0.0817) loss_contra: 0.0001 (0.0023) time: 2.4445 data: 0.0023 max mem: 31671 Epoch: [31] [3790/5278] eta: 1:02:08 lr: 1.2117840527392639e-05 loss: 0.0316 (0.0383) loss_seg: 0.0339 (0.0410) loss_lansim: 0.0834 (0.0817) loss_contra: 0.0001 (0.0023) time: 2.4513 data: 0.0023 max mem: 31671 Epoch: [31] [3800/5278] eta: 1:01:43 lr: 1.2115345461794283e-05 loss: 0.0329 (0.0383) loss_seg: 0.0342 (0.0409) loss_lansim: 0.0815 (0.0817) loss_contra: 0.0001 (0.0022) time: 2.4548 data: 0.0023 max mem: 31671 Epoch: [31] [3810/5278] eta: 1:01:17 lr: 1.2112850339101255e-05 loss: 0.0331 (0.0383) loss_seg: 0.0353 (0.0409) loss_lansim: 0.0815 (0.0817) loss_contra: 0.0001 (0.0022) time: 2.4576 data: 0.0023 max mem: 31671 Epoch: [31] [3820/5278] eta: 1:00:52 lr: 1.211035515929919e-05 loss: 0.0331 (0.0383) loss_seg: 0.0353 (0.0409) loss_lansim: 0.0817 (0.0817) loss_contra: 0.0001 (0.0022) time: 2.4549 data: 0.0024 max mem: 31671 Epoch: [31] [3830/5278] eta: 1:00:27 lr: 1.2107859922373691e-05 loss: 0.0331 (0.0383) loss_seg: 0.0350 (0.0409) loss_lansim: 0.0827 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4522 data: 0.0024 max mem: 31671 Epoch: [31] [3840/5278] eta: 1:00:02 lr: 1.2105364628310378e-05 loss: 0.0333 (0.0383) loss_seg: 0.0360 (0.0409) loss_lansim: 0.0829 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4468 data: 0.0024 max mem: 31671 Epoch: [31] [3850/5278] eta: 0:59:36 lr: 1.2102869277094856e-05 loss: 0.0333 (0.0383) loss_seg: 0.0361 (0.0409) loss_lansim: 0.0830 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4367 data: 0.0024 max mem: 31671 Epoch: [31] [3860/5278] eta: 0:59:11 lr: 1.2100373868712725e-05 loss: 0.0335 (0.0383) loss_seg: 0.0364 (0.0409) loss_lansim: 0.0829 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4349 data: 0.0024 max mem: 31671 Epoch: [31] [3870/5278] eta: 0:58:46 lr: 1.2097878403149566e-05 loss: 0.0335 (0.0383) loss_seg: 0.0363 (0.0409) loss_lansim: 0.0827 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4436 data: 0.0024 max mem: 31671 Epoch: [31] [3880/5278] eta: 0:58:20 lr: 1.209538288039097e-05 loss: 0.0336 (0.0383) loss_seg: 0.0367 (0.0409) loss_lansim: 0.0820 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4416 data: 0.0024 max mem: 31671 Epoch: [31] [3890/5278] eta: 0:57:55 lr: 1.209288730042251e-05 loss: 0.0341 (0.0383) loss_seg: 0.0373 (0.0409) loss_lansim: 0.0814 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4444 data: 0.0025 max mem: 31671 Epoch: [31] [3900/5278] eta: 0:57:30 lr: 1.209039166322976e-05 loss: 0.0338 (0.0383) loss_seg: 0.0369 (0.0409) loss_lansim: 0.0820 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4466 data: 0.0024 max mem: 31671 Epoch: [31] [3910/5278] eta: 0:57:05 lr: 1.2087895968798283e-05 loss: 0.0346 (0.0383) loss_seg: 0.0363 (0.0409) loss_lansim: 0.0815 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4413 data: 0.0024 max mem: 31671 Epoch: [31] [3920/5278] eta: 0:56:39 lr: 1.2085400217113631e-05 loss: 0.0333 (0.0383) loss_seg: 0.0356 (0.0409) loss_lansim: 0.0806 (0.0817) loss_contra: 0.0000 (0.0022) time: 2.4418 data: 0.0024 max mem: 31671 Epoch: [31] [3930/5278] eta: 0:56:14 lr: 1.2082904408161352e-05 loss: 0.0336 (0.0383) loss_seg: 0.0359 (0.0409) loss_lansim: 0.0797 (0.0817) loss_contra: 0.0000 (0.0023) time: 2.4354 data: 0.0024 max mem: 31671 Epoch: [31] [3940/5278] eta: 0:55:49 lr: 1.2080408541926991e-05 loss: 0.0329 (0.0383) loss_seg: 0.0356 (0.0409) loss_lansim: 0.0796 (0.0817) loss_contra: 0.0000 (0.0023) time: 2.4374 data: 0.0024 max mem: 31671 Epoch: [31] [3950/5278] eta: 0:55:24 lr: 1.2077912618396088e-05 loss: 0.0324 (0.0383) loss_seg: 0.0350 (0.0409) loss_lansim: 0.0788 (0.0817) loss_contra: 0.0001 (0.0023) time: 2.4465 data: 0.0024 max mem: 31671 Epoch: [31] [3960/5278] eta: 0:54:58 lr: 1.207541663755416e-05 loss: 0.0306 (0.0382) loss_seg: 0.0330 (0.0408) loss_lansim: 0.0792 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4551 data: 0.0024 max mem: 31671 Epoch: [31] [3970/5278] eta: 0:54:33 lr: 1.2072920599386735e-05 loss: 0.0303 (0.0382) loss_seg: 0.0326 (0.0408) loss_lansim: 0.0778 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4448 data: 0.0024 max mem: 31671 Epoch: [31] [3980/5278] eta: 0:54:08 lr: 1.2070424503879324e-05 loss: 0.0306 (0.0383) loss_seg: 0.0330 (0.0409) loss_lansim: 0.0788 (0.0817) loss_contra: 0.0001 (0.0023) time: 2.4425 data: 0.0024 max mem: 31671 Epoch: [31] [3990/5278] eta: 0:53:43 lr: 1.2067928351017441e-05 loss: 0.0306 (0.0383) loss_seg: 0.0330 (0.0409) loss_lansim: 0.0788 (0.0817) loss_contra: 0.0001 (0.0023) time: 2.4379 data: 0.0024 max mem: 31671 Epoch: [31] [4000/5278] eta: 0:53:17 lr: 1.2065432140786575e-05 loss: 0.0306 (0.0383) loss_seg: 0.0330 (0.0409) loss_lansim: 0.0782 (0.0817) loss_contra: 0.0001 (0.0023) time: 2.4355 data: 0.0024 max mem: 31671 Epoch: [31] [4010/5278] eta: 0:52:52 lr: 1.2062935873172227e-05 loss: 0.0299 (0.0382) loss_seg: 0.0322 (0.0408) loss_lansim: 0.0788 (0.0816) loss_contra: 0.0001 (0.0023) time: 2.4420 data: 0.0024 max mem: 31671 Epoch: [31] [4020/5278] eta: 0:52:27 lr: 1.2060439548159878e-05 loss: 0.0316 (0.0382) loss_seg: 0.0343 (0.0408) loss_lansim: 0.0797 (0.0817) loss_contra: 0.0000 (0.0023) time: 2.4348 data: 0.0024 max mem: 31671 Epoch: [31] [4030/5278] eta: 0:52:02 lr: 1.2057943165735018e-05 loss: 0.0313 (0.0382) loss_seg: 0.0333 (0.0408) loss_lansim: 0.0806 (0.0817) loss_contra: 0.0000 (0.0023) time: 2.4398 data: 0.0024 max mem: 31671 Epoch: [31] [4040/5278] eta: 0:51:37 lr: 1.2055446725883104e-05 loss: 0.0304 (0.0382) loss_seg: 0.0329 (0.0408) loss_lansim: 0.0806 (0.0817) loss_contra: 0.0001 (0.0023) time: 2.4439 data: 0.0024 max mem: 31671 Epoch: [31] [4050/5278] eta: 0:51:11 lr: 1.205295022858961e-05 loss: 0.0306 (0.0382) loss_seg: 0.0330 (0.0408) loss_lansim: 0.0798 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4439 data: 0.0024 max mem: 31671 Epoch: [31] [4060/5278] eta: 0:50:47 lr: 1.2050453673839989e-05 loss: 0.0306 (0.0382) loss_seg: 0.0332 (0.0408) loss_lansim: 0.0808 (0.0817) loss_contra: 0.0000 (0.0023) time: 2.4472 data: 0.0024 max mem: 31671 Epoch: [31] [4070/5278] eta: 0:50:21 lr: 1.2047957061619702e-05 loss: 0.0312 (0.0382) loss_seg: 0.0341 (0.0408) loss_lansim: 0.0812 (0.0817) loss_contra: 0.0000 (0.0023) time: 2.4545 data: 0.0024 max mem: 31671 Epoch: [31] [4080/5278] eta: 0:49:57 lr: 1.204546039191418e-05 loss: 0.0304 (0.0382) loss_seg: 0.0329 (0.0408) loss_lansim: 0.0808 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4656 data: 0.0025 max mem: 31671 Epoch: [31] [4090/5278] eta: 0:49:31 lr: 1.2042963664708867e-05 loss: 0.0306 (0.0382) loss_seg: 0.0332 (0.0408) loss_lansim: 0.0806 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4698 data: 0.0025 max mem: 31671 Epoch: [31] [4100/5278] eta: 0:49:06 lr: 1.204046687998919e-05 loss: 0.0312 (0.0382) loss_seg: 0.0333 (0.0408) loss_lansim: 0.0806 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4748 data: 0.0024 max mem: 31671 Epoch: [31] [4110/5278] eta: 0:48:41 lr: 1.203797003774058e-05 loss: 0.0337 (0.0382) loss_seg: 0.0367 (0.0408) loss_lansim: 0.0805 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4699 data: 0.0024 max mem: 31671 Epoch: [31] [4120/5278] eta: 0:48:16 lr: 1.203547313794844e-05 loss: 0.0318 (0.0382) loss_seg: 0.0339 (0.0408) loss_lansim: 0.0794 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4743 data: 0.0024 max mem: 31671 Epoch: [31] [4130/5278] eta: 0:47:51 lr: 1.2032976180598184e-05 loss: 0.0334 (0.0382) loss_seg: 0.0342 (0.0408) loss_lansim: 0.0784 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4703 data: 0.0024 max mem: 31671 Epoch: [31] [4140/5278] eta: 0:47:25 lr: 1.2030479165675215e-05 loss: 0.0321 (0.0382) loss_seg: 0.0339 (0.0408) loss_lansim: 0.0786 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4586 data: 0.0024 max mem: 31671 Epoch: [31] [4150/5278] eta: 0:47:00 lr: 1.2027982093164928e-05 loss: 0.0345 (0.0382) loss_seg: 0.0370 (0.0408) loss_lansim: 0.0776 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4591 data: 0.0025 max mem: 31671 Epoch: [31] [4160/5278] eta: 0:46:35 lr: 1.2025484963052715e-05 loss: 0.0347 (0.0382) loss_seg: 0.0373 (0.0408) loss_lansim: 0.0744 (0.0815) loss_contra: 0.0000 (0.0023) time: 2.4489 data: 0.0025 max mem: 31671 Epoch: [31] [4170/5278] eta: 0:46:10 lr: 1.2022987775323945e-05 loss: 0.0341 (0.0382) loss_seg: 0.0367 (0.0408) loss_lansim: 0.0758 (0.0816) loss_contra: 0.0000 (0.0023) time: 2.4394 data: 0.0025 max mem: 31671 Epoch: [31] [4180/5278] eta: 0:45:45 lr: 1.2020490529963996e-05 loss: 0.0339 (0.0382) loss_seg: 0.0367 (0.0408) loss_lansim: 0.0740 (0.0815) loss_contra: 0.0000 (0.0023) time: 2.4409 data: 0.0025 max mem: 31671 Epoch: [31] [4190/5278] eta: 0:45:20 lr: 1.2017993226958236e-05 loss: 0.0334 (0.0382) loss_seg: 0.0342 (0.0408) loss_lansim: 0.0736 (0.0815) loss_contra: 0.0000 (0.0023) time: 2.4391 data: 0.0024 max mem: 31671 Epoch: [31] [4200/5278] eta: 0:44:54 lr: 1.201549586629203e-05 loss: 0.0332 (0.0382) loss_seg: 0.0338 (0.0408) loss_lansim: 0.0737 (0.0815) loss_contra: 0.0000 (0.0023) time: 2.4341 data: 0.0024 max mem: 31671 Epoch: [31] [4210/5278] eta: 0:44:29 lr: 1.2012998447950717e-05 loss: 0.0325 (0.0381) loss_seg: 0.0334 (0.0407) loss_lansim: 0.0740 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.4298 data: 0.0024 max mem: 31671 Epoch: [31] [4220/5278] eta: 0:44:04 lr: 1.2010500971919649e-05 loss: 0.0321 (0.0381) loss_seg: 0.0333 (0.0407) loss_lansim: 0.0745 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.4318 data: 0.0024 max mem: 31671 Epoch: [31] [4230/5278] eta: 0:43:39 lr: 1.2008003438184163e-05 loss: 0.0325 (0.0381) loss_seg: 0.0336 (0.0407) loss_lansim: 0.0755 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.4441 data: 0.0024 max mem: 31671 Epoch: [31] [4240/5278] eta: 0:43:14 lr: 1.2005505846729593e-05 loss: 0.0328 (0.0381) loss_seg: 0.0342 (0.0407) loss_lansim: 0.0758 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.4525 data: 0.0024 max mem: 31671 Epoch: [31] [4250/5278] eta: 0:42:49 lr: 1.2003008197541257e-05 loss: 0.0314 (0.0381) loss_seg: 0.0334 (0.0407) loss_lansim: 0.0766 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.4541 data: 0.0023 max mem: 31671 Epoch: [31] [4260/5278] eta: 0:42:24 lr: 1.2000510490604473e-05 loss: 0.0325 (0.0381) loss_seg: 0.0337 (0.0407) loss_lansim: 0.0766 (0.0815) loss_contra: 0.0000 (0.0022) time: 2.4673 data: 0.0023 max mem: 31671 Epoch: [31] [4270/5278] eta: 0:41:59 lr: 1.1998012725904551e-05 loss: 0.0314 (0.0381) loss_seg: 0.0335 (0.0407) loss_lansim: 0.0765 (0.0815) loss_contra: 0.0001 (0.0022) time: 2.4735 data: 0.0023 max mem: 31671 Epoch: [31] [4280/5278] eta: 0:41:34 lr: 1.1995514903426799e-05 loss: 0.0309 (0.0381) loss_seg: 0.0334 (0.0407) loss_lansim: 0.0766 (0.0814) loss_contra: 0.0001 (0.0022) time: 2.4590 data: 0.0023 max mem: 31671 Epoch: [31] [4290/5278] eta: 0:41:09 lr: 1.1993017023156502e-05 loss: 0.0312 (0.0381) loss_seg: 0.0337 (0.0407) loss_lansim: 0.0765 (0.0814) loss_contra: 0.0000 (0.0022) time: 2.4583 data: 0.0023 max mem: 31671 Epoch: [31] [4300/5278] eta: 0:40:44 lr: 1.199051908507895e-05 loss: 0.0316 (0.0381) loss_seg: 0.0343 (0.0407) loss_lansim: 0.0757 (0.0814) loss_contra: 0.0000 (0.0022) time: 2.4640 data: 0.0023 max mem: 31671 Epoch: [31] [4310/5278] eta: 0:40:18 lr: 1.1988021089179429e-05 loss: 0.0320 (0.0380) loss_seg: 0.0347 (0.0406) loss_lansim: 0.0752 (0.0814) loss_contra: 0.0000 (0.0022) time: 2.4682 data: 0.0023 max mem: 31671 Epoch: [31] [4320/5278] eta: 0:39:53 lr: 1.1985523035443211e-05 loss: 0.0327 (0.0380) loss_seg: 0.0357 (0.0406) loss_lansim: 0.0753 (0.0814) loss_contra: 0.0000 (0.0022) time: 2.4723 data: 0.0023 max mem: 31671 Epoch: [31] [4330/5278] eta: 0:39:28 lr: 1.198302492385556e-05 loss: 0.0320 (0.0380) loss_seg: 0.0347 (0.0406) loss_lansim: 0.0753 (0.0814) loss_contra: 0.0000 (0.0022) time: 2.4732 data: 0.0024 max mem: 31671 Epoch: [31] [4340/5278] eta: 0:39:03 lr: 1.1980526754401734e-05 loss: 0.0320 (0.0380) loss_seg: 0.0347 (0.0406) loss_lansim: 0.0750 (0.0814) loss_contra: 0.0000 (0.0022) time: 2.4607 data: 0.0024 max mem: 31671 Epoch: [31] [4350/5278] eta: 0:38:38 lr: 1.1978028527066986e-05 loss: 0.0324 (0.0380) loss_seg: 0.0348 (0.0406) loss_lansim: 0.0748 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4631 data: 0.0024 max mem: 31671 Epoch: [31] [4360/5278] eta: 0:38:13 lr: 1.1975530241836571e-05 loss: 0.0320 (0.0380) loss_seg: 0.0347 (0.0406) loss_lansim: 0.0752 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4498 data: 0.0024 max mem: 31671 Epoch: [31] [4370/5278] eta: 0:37:48 lr: 1.197303189869571e-05 loss: 0.0336 (0.0381) loss_seg: 0.0362 (0.0407) loss_lansim: 0.0746 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4470 data: 0.0024 max mem: 31671 Epoch: [31] [4380/5278] eta: 0:37:23 lr: 1.1970533497629643e-05 loss: 0.0348 (0.0381) loss_seg: 0.0379 (0.0406) loss_lansim: 0.0738 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4480 data: 0.0025 max mem: 31671 Epoch: [31] [4390/5278] eta: 0:36:58 lr: 1.196803503862359e-05 loss: 0.0367 (0.0381) loss_seg: 0.0399 (0.0406) loss_lansim: 0.0738 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4512 data: 0.0024 max mem: 31671 Epoch: [31] [4400/5278] eta: 0:36:33 lr: 1.196553652166277e-05 loss: 0.0367 (0.0381) loss_seg: 0.0399 (0.0406) loss_lansim: 0.0746 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4475 data: 0.0024 max mem: 31671 Epoch: [31] [4410/5278] eta: 0:36:08 lr: 1.1963037946732396e-05 loss: 0.0350 (0.0380) loss_seg: 0.0381 (0.0406) loss_lansim: 0.0751 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4466 data: 0.0024 max mem: 31671 Epoch: [31] [4420/5278] eta: 0:35:42 lr: 1.1960539313817659e-05 loss: 0.0364 (0.0380) loss_seg: 0.0397 (0.0406) loss_lansim: 0.0744 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4454 data: 0.0024 max mem: 31671 Epoch: [31] [4430/5278] eta: 0:35:18 lr: 1.195804062290376e-05 loss: 0.0361 (0.0380) loss_seg: 0.0397 (0.0406) loss_lansim: 0.0744 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4421 data: 0.0024 max mem: 31671 Epoch: [31] [4440/5278] eta: 0:34:53 lr: 1.1955541873975883e-05 loss: 0.0341 (0.0380) loss_seg: 0.0375 (0.0406) loss_lansim: 0.0751 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4550 data: 0.0024 max mem: 31671 Epoch: [31] [4450/5278] eta: 0:34:28 lr: 1.1953043067019219e-05 loss: 0.0339 (0.0380) loss_seg: 0.0372 (0.0406) loss_lansim: 0.0750 (0.0813) loss_contra: 0.0000 (0.0022) time: 2.4546 data: 0.0023 max mem: 31671 Epoch: [31] [4460/5278] eta: 0:34:03 lr: 1.1950544202018925e-05 loss: 0.0340 (0.0380) loss_seg: 0.0373 (0.0406) loss_lansim: 0.0744 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.4658 data: 0.0023 max mem: 31671 Epoch: [31] [4470/5278] eta: 0:33:38 lr: 1.1948045278960174e-05 loss: 0.0339 (0.0380) loss_seg: 0.0372 (0.0406) loss_lansim: 0.0757 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.4659 data: 0.0024 max mem: 31671 Epoch: [31] [4480/5278] eta: 0:33:13 lr: 1.1945546297828125e-05 loss: 0.0338 (0.0380) loss_seg: 0.0372 (0.0406) loss_lansim: 0.0756 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.4712 data: 0.0023 max mem: 31671 Epoch: [31] [4490/5278] eta: 0:32:48 lr: 1.1943047258607933e-05 loss: 0.0327 (0.0380) loss_seg: 0.0359 (0.0406) loss_lansim: 0.0750 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.4766 data: 0.0023 max mem: 31671 Epoch: [31] [4500/5278] eta: 0:32:23 lr: 1.1940548161284731e-05 loss: 0.0328 (0.0380) loss_seg: 0.0358 (0.0406) loss_lansim: 0.0757 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.4815 data: 0.0023 max mem: 31671 Epoch: [31] [4510/5278] eta: 0:31:58 lr: 1.1938049005843662e-05 loss: 0.0340 (0.0380) loss_seg: 0.0359 (0.0406) loss_lansim: 0.0757 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.4896 data: 0.0024 max mem: 31671 Epoch: [31] [4520/5278] eta: 0:31:33 lr: 1.1935549792269857e-05 loss: 0.0327 (0.0380) loss_seg: 0.0355 (0.0406) loss_lansim: 0.0757 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.4888 data: 0.0023 max mem: 31671 Epoch: [31] [4530/5278] eta: 0:31:08 lr: 1.193305052054844e-05 loss: 0.0341 (0.0380) loss_seg: 0.0369 (0.0406) loss_lansim: 0.0759 (0.0812) loss_contra: 0.0000 (0.0021) time: 2.4835 data: 0.0023 max mem: 31671 Epoch: [31] [4540/5278] eta: 0:30:42 lr: 1.1930551190664518e-05 loss: 0.0353 (0.0380) loss_seg: 0.0369 (0.0406) loss_lansim: 0.0754 (0.0812) loss_contra: 0.0000 (0.0022) time: 2.4761 data: 0.0023 max mem: 31671 Epoch: [31] [4550/5278] eta: 0:30:17 lr: 1.1928051802603202e-05 loss: 0.0360 (0.0380) loss_seg: 0.0374 (0.0406) loss_lansim: 0.0754 (0.0812) loss_contra: 0.0000 (0.0021) time: 2.4721 data: 0.0023 max mem: 31671 Epoch: [31] [4560/5278] eta: 0:29:52 lr: 1.1925552356349592e-05 loss: 0.0343 (0.0380) loss_seg: 0.0365 (0.0406) loss_lansim: 0.0759 (0.0812) loss_contra: 0.0000 (0.0021) time: 2.4618 data: 0.0023 max mem: 31671 Epoch: [31] [4570/5278] eta: 0:29:27 lr: 1.192305285188879e-05 loss: 0.0353 (0.0380) loss_seg: 0.0369 (0.0406) loss_lansim: 0.0762 (0.0812) loss_contra: 0.0000 (0.0021) time: 2.4589 data: 0.0023 max mem: 31671 Epoch: [31] [4580/5278] eta: 0:29:02 lr: 1.1920553289205866e-05 loss: 0.0341 (0.0380) loss_seg: 0.0359 (0.0406) loss_lansim: 0.0767 (0.0812) loss_contra: 0.0000 (0.0021) time: 2.4526 data: 0.0024 max mem: 31671 Epoch: [31] [4590/5278] eta: 0:28:37 lr: 1.1918053668285905e-05 loss: 0.0353 (0.0380) loss_seg: 0.0369 (0.0406) loss_lansim: 0.0764 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4432 data: 0.0023 max mem: 31671 Epoch: [31] [4600/5278] eta: 0:28:12 lr: 1.191555398911398e-05 loss: 0.0353 (0.0380) loss_seg: 0.0365 (0.0406) loss_lansim: 0.0767 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4428 data: 0.0024 max mem: 31671 Epoch: [31] [4610/5278] eta: 0:27:47 lr: 1.1913054251675161e-05 loss: 0.0345 (0.0380) loss_seg: 0.0365 (0.0406) loss_lansim: 0.0768 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4384 data: 0.0024 max mem: 31671 Epoch: [31] [4620/5278] eta: 0:27:22 lr: 1.1910554455954491e-05 loss: 0.0345 (0.0380) loss_seg: 0.0374 (0.0406) loss_lansim: 0.0769 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4368 data: 0.0024 max mem: 31671 Epoch: [31] [4630/5278] eta: 0:26:57 lr: 1.1908054601937025e-05 loss: 0.0343 (0.0380) loss_seg: 0.0367 (0.0406) loss_lansim: 0.0771 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4462 data: 0.0024 max mem: 31671 Epoch: [31] [4640/5278] eta: 0:26:32 lr: 1.1905554689607804e-05 loss: 0.0354 (0.0380) loss_seg: 0.0374 (0.0406) loss_lansim: 0.0775 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4502 data: 0.0024 max mem: 31671 Epoch: [31] [4650/5278] eta: 0:26:07 lr: 1.1903054718951864e-05 loss: 0.0354 (0.0380) loss_seg: 0.0375 (0.0406) loss_lansim: 0.0781 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4459 data: 0.0024 max mem: 31671 Epoch: [31] [4660/5278] eta: 0:25:42 lr: 1.190055468995424e-05 loss: 0.0355 (0.0380) loss_seg: 0.0377 (0.0406) loss_lansim: 0.0785 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4468 data: 0.0024 max mem: 31671 Epoch: [31] [4670/5278] eta: 0:25:17 lr: 1.1898054602599935e-05 loss: 0.0343 (0.0380) loss_seg: 0.0370 (0.0406) loss_lansim: 0.0781 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4551 data: 0.0024 max mem: 31671 Epoch: [31] [4680/5278] eta: 0:24:52 lr: 1.189555445687397e-05 loss: 0.0355 (0.0380) loss_seg: 0.0377 (0.0406) loss_lansim: 0.0774 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4579 data: 0.0024 max mem: 31671 Epoch: [31] [4690/5278] eta: 0:24:27 lr: 1.1893054252761352e-05 loss: 0.0355 (0.0380) loss_seg: 0.0373 (0.0406) loss_lansim: 0.0789 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4627 data: 0.0024 max mem: 31671 Epoch: [31] [4700/5278] eta: 0:24:02 lr: 1.1890553990247083e-05 loss: 0.0355 (0.0380) loss_seg: 0.0375 (0.0406) loss_lansim: 0.0785 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4621 data: 0.0024 max mem: 31671 Epoch: [31] [4710/5278] eta: 0:23:37 lr: 1.188805366931614e-05 loss: 0.0355 (0.0380) loss_seg: 0.0375 (0.0406) loss_lansim: 0.0781 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4657 data: 0.0024 max mem: 31671 Epoch: [31] [4720/5278] eta: 0:23:12 lr: 1.1885553289953515e-05 loss: 0.0336 (0.0380) loss_seg: 0.0370 (0.0406) loss_lansim: 0.0774 (0.0811) loss_contra: 0.0000 (0.0021) time: 2.4794 data: 0.0024 max mem: 31671 Epoch: [31] [4730/5278] eta: 0:22:47 lr: 1.1883052852144181e-05 loss: 0.0336 (0.0380) loss_seg: 0.0367 (0.0406) loss_lansim: 0.0772 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4763 data: 0.0024 max mem: 31671 Epoch: [31] [4740/5278] eta: 0:22:22 lr: 1.1880552355873115e-05 loss: 0.0335 (0.0380) loss_seg: 0.0366 (0.0406) loss_lansim: 0.0772 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4717 data: 0.0024 max mem: 31671 Epoch: [31] [4750/5278] eta: 0:21:57 lr: 1.1878051801125262e-05 loss: 0.0327 (0.0380) loss_seg: 0.0356 (0.0406) loss_lansim: 0.0762 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4769 data: 0.0024 max mem: 31671 Epoch: [31] [4760/5278] eta: 0:21:32 lr: 1.1875551187885585e-05 loss: 0.0319 (0.0380) loss_seg: 0.0339 (0.0406) loss_lansim: 0.0762 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4746 data: 0.0024 max mem: 31671 Epoch: [31] [4770/5278] eta: 0:21:07 lr: 1.187305051613903e-05 loss: 0.0327 (0.0380) loss_seg: 0.0341 (0.0406) loss_lansim: 0.0764 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4741 data: 0.0024 max mem: 31671 Epoch: [31] [4780/5278] eta: 0:20:42 lr: 1.1870549785870538e-05 loss: 0.0324 (0.0380) loss_seg: 0.0337 (0.0406) loss_lansim: 0.0762 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4731 data: 0.0024 max mem: 31671 Epoch: [31] [4790/5278] eta: 0:20:17 lr: 1.1868048997065034e-05 loss: 0.0319 (0.0380) loss_seg: 0.0332 (0.0406) loss_lansim: 0.0758 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4771 data: 0.0024 max mem: 31671 Epoch: [31] [4800/5278] eta: 0:19:52 lr: 1.1865548149707444e-05 loss: 0.0307 (0.0380) loss_seg: 0.0325 (0.0406) loss_lansim: 0.0755 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4782 data: 0.0024 max mem: 31671 Epoch: [31] [4810/5278] eta: 0:19:27 lr: 1.1863047243782684e-05 loss: 0.0304 (0.0380) loss_seg: 0.0325 (0.0405) loss_lansim: 0.0758 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4791 data: 0.0023 max mem: 31671 Epoch: [31] [4820/5278] eta: 0:19:02 lr: 1.1860546279275672e-05 loss: 0.0321 (0.0380) loss_seg: 0.0332 (0.0406) loss_lansim: 0.0760 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4697 data: 0.0024 max mem: 31671 Epoch: [31] [4830/5278] eta: 0:18:37 lr: 1.1858045256171295e-05 loss: 0.0324 (0.0380) loss_seg: 0.0334 (0.0406) loss_lansim: 0.0760 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4642 data: 0.0024 max mem: 31671 Epoch: [31] [4840/5278] eta: 0:18:12 lr: 1.1855544174454456e-05 loss: 0.0313 (0.0380) loss_seg: 0.0325 (0.0405) loss_lansim: 0.0760 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4651 data: 0.0024 max mem: 31671 Epoch: [31] [4850/5278] eta: 0:17:47 lr: 1.1853043034110038e-05 loss: 0.0302 (0.0380) loss_seg: 0.0324 (0.0405) loss_lansim: 0.0762 (0.0810) loss_contra: 0.0000 (0.0021) time: 2.4688 data: 0.0024 max mem: 31671 Epoch: [31] [4860/5278] eta: 0:17:22 lr: 1.1850541835122925e-05 loss: 0.0307 (0.0380) loss_seg: 0.0330 (0.0405) loss_lansim: 0.0765 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4589 data: 0.0025 max mem: 31671 Epoch: [31] [4870/5278] eta: 0:16:57 lr: 1.1848040577477992e-05 loss: 0.0303 (0.0379) loss_seg: 0.0325 (0.0405) loss_lansim: 0.0762 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4524 data: 0.0024 max mem: 31671 Epoch: [31] [4880/5278] eta: 0:16:32 lr: 1.1845539261160089e-05 loss: 0.0301 (0.0380) loss_seg: 0.0319 (0.0405) loss_lansim: 0.0763 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4549 data: 0.0024 max mem: 31671 Epoch: [31] [4890/5278] eta: 0:16:07 lr: 1.1843037886154085e-05 loss: 0.0301 (0.0379) loss_seg: 0.0320 (0.0405) loss_lansim: 0.0775 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4569 data: 0.0024 max mem: 31671 Epoch: [31] [4900/5278] eta: 0:15:42 lr: 1.1840536452444825e-05 loss: 0.0295 (0.0379) loss_seg: 0.0316 (0.0405) loss_lansim: 0.0786 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4427 data: 0.0024 max mem: 31671 Epoch: [31] [4910/5278] eta: 0:15:17 lr: 1.183803496001716e-05 loss: 0.0303 (0.0379) loss_seg: 0.0320 (0.0405) loss_lansim: 0.0775 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4464 data: 0.0025 max mem: 31671 Epoch: [31] [4920/5278] eta: 0:14:52 lr: 1.183553340885591e-05 loss: 0.0303 (0.0379) loss_seg: 0.0322 (0.0405) loss_lansim: 0.0775 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4438 data: 0.0025 max mem: 31671 Epoch: [31] [4930/5278] eta: 0:14:27 lr: 1.1833031798945908e-05 loss: 0.0311 (0.0379) loss_seg: 0.0326 (0.0405) loss_lansim: 0.0783 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4436 data: 0.0025 max mem: 31671 Epoch: [31] [4940/5278] eta: 0:14:03 lr: 1.1830530130271977e-05 loss: 0.0316 (0.0379) loss_seg: 0.0341 (0.0405) loss_lansim: 0.0793 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4504 data: 0.0025 max mem: 31671 Epoch: [31] [4950/5278] eta: 0:13:38 lr: 1.182802840281893e-05 loss: 0.0317 (0.0379) loss_seg: 0.0346 (0.0405) loss_lansim: 0.0789 (0.0809) loss_contra: 0.0001 (0.0021) time: 2.4517 data: 0.0024 max mem: 31671 Epoch: [31] [4960/5278] eta: 0:13:13 lr: 1.1825526616571566e-05 loss: 0.0316 (0.0379) loss_seg: 0.0341 (0.0405) loss_lansim: 0.0783 (0.0809) loss_contra: 0.0001 (0.0021) time: 2.4587 data: 0.0024 max mem: 31671 Epoch: [31] [4970/5278] eta: 0:12:48 lr: 1.1823024771514682e-05 loss: 0.0316 (0.0379) loss_seg: 0.0341 (0.0405) loss_lansim: 0.0783 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4682 data: 0.0024 max mem: 31671 Epoch: [31] [4980/5278] eta: 0:12:23 lr: 1.1820522867633071e-05 loss: 0.0317 (0.0379) loss_seg: 0.0346 (0.0405) loss_lansim: 0.0768 (0.0809) loss_contra: 0.0001 (0.0021) time: 2.4716 data: 0.0024 max mem: 31671 Epoch: [31] [4990/5278] eta: 0:11:58 lr: 1.181802090491152e-05 loss: 0.0317 (0.0379) loss_seg: 0.0346 (0.0404) loss_lansim: 0.0765 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4673 data: 0.0024 max mem: 31671 Epoch: [31] [5000/5278] eta: 0:11:33 lr: 1.1815518883334794e-05 loss: 0.0317 (0.0379) loss_seg: 0.0346 (0.0404) loss_lansim: 0.0765 (0.0809) loss_contra: 0.0001 (0.0021) time: 2.4840 data: 0.0024 max mem: 31671 Epoch: [31] [5010/5278] eta: 0:11:08 lr: 1.1813016802887663e-05 loss: 0.0316 (0.0379) loss_seg: 0.0339 (0.0404) loss_lansim: 0.0767 (0.0809) loss_contra: 0.0001 (0.0021) time: 2.4744 data: 0.0024 max mem: 31671 Epoch: [31] [5020/5278] eta: 0:10:43 lr: 1.1810514663554886e-05 loss: 0.0317 (0.0379) loss_seg: 0.0336 (0.0404) loss_lansim: 0.0778 (0.0809) loss_contra: 0.0001 (0.0021) time: 2.4856 data: 0.0024 max mem: 31671 Epoch: [31] [5030/5278] eta: 0:10:18 lr: 1.1808012465321225e-05 loss: 0.0317 (0.0379) loss_seg: 0.0336 (0.0404) loss_lansim: 0.0773 (0.0809) loss_contra: 0.0001 (0.0021) time: 2.4891 data: 0.0023 max mem: 31671 Epoch: [31] [5040/5278] eta: 0:09:53 lr: 1.180551020817141e-05 loss: 0.0317 (0.0379) loss_seg: 0.0336 (0.0404) loss_lansim: 0.0758 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4915 data: 0.0023 max mem: 31671 Epoch: [31] [5050/5278] eta: 0:09:28 lr: 1.1803007892090183e-05 loss: 0.0317 (0.0379) loss_seg: 0.0332 (0.0404) loss_lansim: 0.0758 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4921 data: 0.0023 max mem: 31671 Epoch: [31] [5060/5278] eta: 0:09:03 lr: 1.1800505517062274e-05 loss: 0.0318 (0.0378) loss_seg: 0.0337 (0.0404) loss_lansim: 0.0759 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4994 data: 0.0023 max mem: 31671 Epoch: [31] [5070/5278] eta: 0:08:38 lr: 1.1798003083072412e-05 loss: 0.0321 (0.0379) loss_seg: 0.0345 (0.0404) loss_lansim: 0.0759 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4938 data: 0.0023 max mem: 31671 Epoch: [31] [5080/5278] eta: 0:08:13 lr: 1.1795500590105299e-05 loss: 0.0321 (0.0379) loss_seg: 0.0345 (0.0404) loss_lansim: 0.0776 (0.0809) loss_contra: 0.0000 (0.0021) time: 2.4922 data: 0.0023 max mem: 31671 Epoch: [31] [5090/5278] eta: 0:07:48 lr: 1.1792998038145648e-05 loss: 0.0321 (0.0378) loss_seg: 0.0345 (0.0404) loss_lansim: 0.0768 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4951 data: 0.0023 max mem: 31671 Epoch: [31] [5100/5278] eta: 0:07:23 lr: 1.1790495427178156e-05 loss: 0.0333 (0.0378) loss_seg: 0.0355 (0.0404) loss_lansim: 0.0759 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4879 data: 0.0023 max mem: 31671 Epoch: [31] [5110/5278] eta: 0:06:58 lr: 1.1787992757187515e-05 loss: 0.0338 (0.0378) loss_seg: 0.0356 (0.0404) loss_lansim: 0.0758 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4897 data: 0.0024 max mem: 31671 Epoch: [31] [5120/5278] eta: 0:06:34 lr: 1.1785490028158416e-05 loss: 0.0331 (0.0378) loss_seg: 0.0356 (0.0404) loss_lansim: 0.0743 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4786 data: 0.0024 max mem: 31671 Epoch: [31] [5130/5278] eta: 0:06:09 lr: 1.1782987240075526e-05 loss: 0.0325 (0.0378) loss_seg: 0.0346 (0.0404) loss_lansim: 0.0755 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4782 data: 0.0024 max mem: 31671 Epoch: [31] [5140/5278] eta: 0:05:44 lr: 1.1780484392923515e-05 loss: 0.0324 (0.0378) loss_seg: 0.0346 (0.0404) loss_lansim: 0.0756 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4718 data: 0.0024 max mem: 31671 Epoch: [31] [5150/5278] eta: 0:05:19 lr: 1.1777981486687045e-05 loss: 0.0325 (0.0378) loss_seg: 0.0346 (0.0404) loss_lansim: 0.0744 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4679 data: 0.0024 max mem: 31671 Epoch: [31] [5160/5278] eta: 0:04:54 lr: 1.1775478521350779e-05 loss: 0.0330 (0.0378) loss_seg: 0.0356 (0.0404) loss_lansim: 0.0743 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4655 data: 0.0024 max mem: 31671 Epoch: [31] [5170/5278] eta: 0:04:29 lr: 1.1772975496899346e-05 loss: 0.0332 (0.0378) loss_seg: 0.0362 (0.0404) loss_lansim: 0.0743 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4736 data: 0.0024 max mem: 31671 Epoch: [31] [5180/5278] eta: 0:04:04 lr: 1.1770472413317396e-05 loss: 0.0331 (0.0378) loss_seg: 0.0362 (0.0404) loss_lansim: 0.0749 (0.0808) loss_contra: 0.0000 (0.0021) time: 2.4692 data: 0.0025 max mem: 31671 Epoch: [31] [5190/5278] eta: 0:03:39 lr: 1.1767969270589554e-05 loss: 0.0333 (0.0378) loss_seg: 0.0363 (0.0404) loss_lansim: 0.0756 (0.0808) loss_contra: 0.0000 (0.0020) time: 2.4673 data: 0.0025 max mem: 31671 Epoch: [31] [5200/5278] eta: 0:03:14 lr: 1.1765466068700453e-05 loss: 0.0343 (0.0378) loss_seg: 0.0363 (0.0404) loss_lansim: 0.0757 (0.0808) loss_contra: 0.0000 (0.0020) time: 2.4647 data: 0.0024 max mem: 31671 Epoch: [31] [5210/5278] eta: 0:02:49 lr: 1.1762962807634695e-05 loss: 0.0338 (0.0378) loss_seg: 0.0363 (0.0404) loss_lansim: 0.0765 (0.0808) loss_contra: 0.0000 (0.0020) time: 2.4702 data: 0.0024 max mem: 31671 Epoch: [31] [5220/5278] eta: 0:02:24 lr: 1.1760459487376896e-05 loss: 0.0353 (0.0379) loss_seg: 0.0374 (0.0404) loss_lansim: 0.0769 (0.0807) loss_contra: 0.0000 (0.0020) time: 2.4736 data: 0.0024 max mem: 31671 Epoch: [31] [5230/5278] eta: 0:01:59 lr: 1.1757956107911653e-05 loss: 0.0356 (0.0379) loss_seg: 0.0386 (0.0404) loss_lansim: 0.0771 (0.0807) loss_contra: 0.0000 (0.0020) time: 2.4722 data: 0.0024 max mem: 31671 Epoch: [31] [5240/5278] eta: 0:01:34 lr: 1.1755452669223566e-05 loss: 0.0361 (0.0379) loss_seg: 0.0387 (0.0404) loss_lansim: 0.0765 (0.0807) loss_contra: 0.0000 (0.0020) time: 2.4786 data: 0.0024 max mem: 31671 Epoch: [31] [5250/5278] eta: 0:01:09 lr: 1.1752949171297207e-05 loss: 0.0361 (0.0379) loss_seg: 0.0390 (0.0404) loss_lansim: 0.0765 (0.0807) loss_contra: 0.0000 (0.0020) time: 2.4777 data: 0.0024 max mem: 31671 Epoch: [31] [5260/5278] eta: 0:00:44 lr: 1.175044561411716e-05 loss: 0.0352 (0.0378) loss_seg: 0.0386 (0.0404) loss_lansim: 0.0771 (0.0807) loss_contra: 0.0000 (0.0020) time: 2.4779 data: 0.0024 max mem: 31671 Epoch: [31] [5270/5278] eta: 0:00:19 lr: 1.1747941997667996e-05 loss: 0.0343 (0.0378) loss_seg: 0.0374 (0.0404) loss_lansim: 0.0771 (0.0807) loss_contra: 0.0000 (0.0020) time: 2.4728 data: 0.0024 max mem: 31671 Epoch: [31] Total time: 3:39:19 Test: [ 0/2573] eta: 1:35:29 time: 2.2268 data: 1.9095 max mem: 31671 Test: [ 100/2573] eta: 0:06:37 time: 0.1401 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:03 time: 0.1454 data: 0.0013 max mem: 31671 Test: [ 300/2573] eta: 0:05:38 time: 0.1405 data: 0.0014 max mem: 31671 Test: [ 400/2573] eta: 0:05:20 time: 0.1436 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:04 time: 0.1447 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:49 time: 0.1444 data: 0.0014 max mem: 31671 Test: [ 700/2573] eta: 0:04:35 time: 0.1488 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:20 time: 0.1461 data: 0.0014 max mem: 31671 Test: [ 900/2573] eta: 0:04:05 time: 0.1459 data: 0.0015 max mem: 31671 Test: [1000/2573] eta: 0:03:50 time: 0.1449 data: 0.0014 max mem: 31671 Test: [1100/2573] eta: 0:03:35 time: 0.1438 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:20 time: 0.1445 data: 0.0014 max mem: 31671 Test: [1300/2573] eta: 0:03:05 time: 0.1438 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:50 time: 0.1406 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:36 time: 0.1461 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:21 time: 0.1456 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:07 time: 0.1450 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:52 time: 0.1440 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:37 time: 0.1417 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1411 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:08 time: 0.1456 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1408 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1446 data: 0.0014 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1426 data: 0.0014 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1456 data: 0.0014 max mem: 31671 Test: Total time: 0:06:12 Final results: precision@0.5 = 70.55 precision@0.6 = 66.09 precision@0.7 = 59.91 precision@0.8 = 48.90 precision@0.9 = 25.20 overall IoU = 60.06 mean IoU = 62.53 Average object IoU 0.6253423388351024 Overall IoU 60.060453596170596 Better epoch: 31 The best_performance is 60.060453596170596 Epoch: [32] [ 0/5278] eta: 6:02:47 lr: 1.1745939061824527e-05 loss: 0.0302 (0.0302) loss_seg: 0.0331 (0.0331) loss_lansim: 0.0697 (0.0697) loss_contra: 0.0000 (0.0000) time: 4.1243 data: 1.3998 max mem: 31671 Epoch: [32] [ 10/5278] eta: 3:48:18 lr: 1.1743435338652038e-05 loss: 0.0385 (0.0415) loss_seg: 0.0378 (0.0428) loss_lansim: 0.0815 (0.0820) loss_contra: 0.0000 (0.0102) time: 2.6002 data: 0.1292 max mem: 31671 Epoch: [32] [ 20/5278] eta: 3:45:34 lr: 1.1740931556167191e-05 loss: 0.0385 (0.0422) loss_seg: 0.0389 (0.0447) loss_lansim: 0.0765 (0.0797) loss_contra: 0.0000 (0.0082) time: 2.5741 data: 0.0686 max mem: 31671 Epoch: [32] [ 30/5278] eta: 3:43:43 lr: 1.1738427714354514e-05 loss: 0.0376 (0.0402) loss_seg: 0.0378 (0.0428) loss_lansim: 0.0765 (0.0788) loss_contra: 0.0000 (0.0062) time: 2.5578 data: 0.0473 max mem: 31671 Epoch: [32] [ 40/5278] eta: 3:40:58 lr: 1.1735923813198545e-05 loss: 0.0346 (0.0370) loss_seg: 0.0349 (0.0392) loss_lansim: 0.0761 (0.0781) loss_contra: 0.0000 (0.0047) time: 2.5311 data: 0.0364 max mem: 31671 Epoch: [32] [ 50/5278] eta: 3:38:54 lr: 1.173341985268381e-05 loss: 0.0345 (0.0369) loss_seg: 0.0365 (0.0391) loss_lansim: 0.0761 (0.0782) loss_contra: 0.0000 (0.0040) time: 2.5124 data: 0.0298 max mem: 31671 Epoch: [32] [ 60/5278] eta: 3:37:27 lr: 1.1730915832794829e-05 loss: 0.0350 (0.0381) loss_seg: 0.0372 (0.0405) loss_lansim: 0.0769 (0.0790) loss_contra: 0.0000 (0.0042) time: 2.5005 data: 0.0252 max mem: 31671 Epoch: [32] [ 70/5278] eta: 3:37:01 lr: 1.1728411753516105e-05 loss: 0.0345 (0.0374) loss_seg: 0.0369 (0.0397) loss_lansim: 0.0779 (0.0793) loss_contra: 0.0000 (0.0036) time: 2.5004 data: 0.0220 max mem: 31671 Epoch: [32] [ 80/5278] eta: 3:35:37 lr: 1.1725907614832141e-05 loss: 0.0342 (0.0370) loss_seg: 0.0365 (0.0393) loss_lansim: 0.0779 (0.0794) loss_contra: 0.0000 (0.0031) time: 2.4889 data: 0.0196 max mem: 31671 Epoch: [32] [ 90/5278] eta: 3:34:14 lr: 1.1723403416727432e-05 loss: 0.0345 (0.0372) loss_seg: 0.0369 (0.0394) loss_lansim: 0.0776 (0.0793) loss_contra: 0.0000 (0.0034) time: 2.4778 data: 0.0177 max mem: 31671 Epoch: [32] [ 100/5278] eta: 3:33:29 lr: 1.1720899159186473e-05 loss: 0.0345 (0.0370) loss_seg: 0.0369 (0.0393) loss_lansim: 0.0779 (0.0796) loss_contra: 0.0000 (0.0031) time: 2.4572 data: 0.0023 max mem: 31671 Epoch: [32] [ 110/5278] eta: 3:33:25 lr: 1.1718394842193727e-05 loss: 0.0342 (0.0374) loss_seg: 0.0363 (0.0397) loss_lansim: 0.0776 (0.0790) loss_contra: 0.0000 (0.0028) time: 2.4643 data: 0.0024 max mem: 31671 Epoch: [32] [ 120/5278] eta: 3:32:22 lr: 1.1715890465733675e-05 loss: 0.0322 (0.0371) loss_seg: 0.0349 (0.0393) loss_lansim: 0.0779 (0.0793) loss_contra: 0.0000 (0.0031) time: 2.4487 data: 0.0024 max mem: 31671 Epoch: [32] [ 130/5278] eta: 3:32:04 lr: 1.1713386029790778e-05 loss: 0.0316 (0.0366) loss_seg: 0.0344 (0.0387) loss_lansim: 0.0784 (0.0792) loss_contra: 0.0000 (0.0029) time: 2.4451 data: 0.0024 max mem: 31671 Epoch: [32] [ 140/5278] eta: 3:31:40 lr: 1.1710881534349491e-05 loss: 0.0318 (0.0368) loss_seg: 0.0346 (0.0391) loss_lansim: 0.0785 (0.0790) loss_contra: 0.0000 (0.0029) time: 2.4476 data: 0.0024 max mem: 31671 Epoch: [32] [ 150/5278] eta: 3:30:43 lr: 1.1708376979394267e-05 loss: 0.0312 (0.0362) loss_seg: 0.0332 (0.0384) loss_lansim: 0.0785 (0.0788) loss_contra: 0.0000 (0.0027) time: 2.4415 data: 0.0023 max mem: 31671 Epoch: [32] [ 160/5278] eta: 3:30:31 lr: 1.1705872364909535e-05 loss: 0.0307 (0.0358) loss_seg: 0.0318 (0.0379) loss_lansim: 0.0779 (0.0783) loss_contra: 0.0000 (0.0027) time: 2.4481 data: 0.0024 max mem: 31671 Epoch: [32] [ 170/5278] eta: 3:29:48 lr: 1.1703367690879733e-05 loss: 0.0307 (0.0355) loss_seg: 0.0318 (0.0377) loss_lansim: 0.0758 (0.0782) loss_contra: 0.0000 (0.0025) time: 2.4391 data: 0.0023 max mem: 31671 Epoch: [32] [ 180/5278] eta: 3:29:28 lr: 1.1700862957289286e-05 loss: 0.0311 (0.0359) loss_seg: 0.0332 (0.0381) loss_lansim: 0.0744 (0.0777) loss_contra: 0.0000 (0.0024) time: 2.4463 data: 0.0023 max mem: 31671 Epoch: [32] [ 190/5278] eta: 3:29:10 lr: 1.1698358164122615e-05 loss: 0.0311 (0.0362) loss_seg: 0.0332 (0.0384) loss_lansim: 0.0746 (0.0778) loss_contra: 0.0000 (0.0023) time: 2.4568 data: 0.0024 max mem: 31671 Epoch: [32] [ 200/5278] eta: 3:28:17 lr: 1.1695853311364118e-05 loss: 0.0307 (0.0360) loss_seg: 0.0328 (0.0382) loss_lansim: 0.0749 (0.0781) loss_contra: 0.0000 (0.0022) time: 2.4482 data: 0.0024 max mem: 31671 Epoch: [32] [ 210/5278] eta: 3:27:39 lr: 1.16933483989982e-05 loss: 0.0309 (0.0367) loss_seg: 0.0332 (0.0390) loss_lansim: 0.0749 (0.0781) loss_contra: 0.0000 (0.0021) time: 2.4370 data: 0.0024 max mem: 31671 Epoch: [32] [ 220/5278] eta: 3:27:06 lr: 1.1690843427009259e-05 loss: 0.0314 (0.0376) loss_seg: 0.0336 (0.0400) loss_lansim: 0.0740 (0.0778) loss_contra: 0.0000 (0.0020) time: 2.4403 data: 0.0023 max mem: 31671 Epoch: [32] [ 230/5278] eta: 3:26:44 lr: 1.168833839538168e-05 loss: 0.0317 (0.0375) loss_seg: 0.0336 (0.0399) loss_lansim: 0.0740 (0.0779) loss_contra: 0.0000 (0.0019) time: 2.4383 data: 0.0024 max mem: 31671 Epoch: [32] [ 240/5278] eta: 3:26:11 lr: 1.1685833304099835e-05 loss: 0.0320 (0.0373) loss_seg: 0.0338 (0.0397) loss_lansim: 0.0744 (0.0780) loss_contra: 0.0000 (0.0018) time: 2.4326 data: 0.0024 max mem: 31671 Epoch: [32] [ 250/5278] eta: 3:25:54 lr: 1.1683328153148094e-05 loss: 0.0340 (0.0372) loss_seg: 0.0348 (0.0396) loss_lansim: 0.0750 (0.0779) loss_contra: 0.0000 (0.0018) time: 2.4444 data: 0.0024 max mem: 31671 Epoch: [32] [ 260/5278] eta: 3:25:19 lr: 1.168082294251082e-05 loss: 0.0343 (0.0368) loss_seg: 0.0348 (0.0392) loss_lansim: 0.0760 (0.0779) loss_contra: 0.0000 (0.0018) time: 2.4342 data: 0.0024 max mem: 31671 Epoch: [32] [ 270/5278] eta: 3:25:00 lr: 1.1678317672172377e-05 loss: 0.0345 (0.0368) loss_seg: 0.0357 (0.0392) loss_lansim: 0.0767 (0.0779) loss_contra: 0.0000 (0.0017) time: 2.4419 data: 0.0024 max mem: 31671 Epoch: [32] [ 280/5278] eta: 3:24:38 lr: 1.1675812342117096e-05 loss: 0.0330 (0.0366) loss_seg: 0.0348 (0.0390) loss_lansim: 0.0766 (0.0777) loss_contra: 0.0000 (0.0017) time: 2.4411 data: 0.0024 max mem: 31671 Epoch: [32] [ 290/5278] eta: 3:24:06 lr: 1.1673306952329323e-05 loss: 0.0330 (0.0365) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0767 (0.0778) loss_contra: 0.0000 (0.0016) time: 2.4330 data: 0.0024 max mem: 31671 Epoch: [32] [ 300/5278] eta: 3:23:42 lr: 1.1670801502793387e-05 loss: 0.0324 (0.0362) loss_seg: 0.0343 (0.0386) loss_lansim: 0.0757 (0.0776) loss_contra: 0.0000 (0.0016) time: 2.4440 data: 0.0024 max mem: 31671 Epoch: [32] [ 310/5278] eta: 3:23:18 lr: 1.1668295993493617e-05 loss: 0.0318 (0.0360) loss_seg: 0.0340 (0.0383) loss_lansim: 0.0745 (0.0774) loss_contra: 0.0000 (0.0016) time: 2.4493 data: 0.0024 max mem: 31671 Epoch: [32] [ 320/5278] eta: 3:22:43 lr: 1.1665790424414317e-05 loss: 0.0318 (0.0361) loss_seg: 0.0331 (0.0384) loss_lansim: 0.0749 (0.0773) loss_contra: 0.0000 (0.0017) time: 2.4455 data: 0.0024 max mem: 31671 Epoch: [32] [ 330/5278] eta: 3:22:10 lr: 1.1663284795539799e-05 loss: 0.0327 (0.0362) loss_seg: 0.0340 (0.0385) loss_lansim: 0.0745 (0.0774) loss_contra: 0.0000 (0.0017) time: 2.4384 data: 0.0024 max mem: 31671 Epoch: [32] [ 340/5278] eta: 3:21:37 lr: 1.1660779106854364e-05 loss: 0.0327 (0.0362) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0748 (0.0774) loss_contra: 0.0000 (0.0017) time: 2.4359 data: 0.0024 max mem: 31671 Epoch: [32] [ 350/5278] eta: 3:21:07 lr: 1.1658273358342305e-05 loss: 0.0327 (0.0361) loss_seg: 0.0355 (0.0385) loss_lansim: 0.0749 (0.0777) loss_contra: 0.0000 (0.0016) time: 2.4276 data: 0.0024 max mem: 31671 Epoch: [32] [ 360/5278] eta: 3:20:56 lr: 1.1655767549987899e-05 loss: 0.0332 (0.0363) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0755 (0.0779) loss_contra: 0.0000 (0.0016) time: 2.4420 data: 0.0024 max mem: 31671 Epoch: [32] [ 370/5278] eta: 3:20:26 lr: 1.1653261681775424e-05 loss: 0.0327 (0.0362) loss_seg: 0.0341 (0.0386) loss_lansim: 0.0749 (0.0779) loss_contra: 0.0000 (0.0015) time: 2.4350 data: 0.0025 max mem: 31671 Epoch: [32] [ 380/5278] eta: 3:20:02 lr: 1.1650755753689148e-05 loss: 0.0327 (0.0360) loss_seg: 0.0346 (0.0384) loss_lansim: 0.0768 (0.0780) loss_contra: 0.0000 (0.0015) time: 2.4327 data: 0.0024 max mem: 31671 Epoch: [32] [ 390/5278] eta: 3:19:29 lr: 1.1648249765713331e-05 loss: 0.0327 (0.0359) loss_seg: 0.0346 (0.0383) loss_lansim: 0.0749 (0.0779) loss_contra: 0.0000 (0.0015) time: 2.4300 data: 0.0024 max mem: 31671 Epoch: [32] [ 400/5278] eta: 3:19:09 lr: 1.1645743717832232e-05 loss: 0.0332 (0.0359) loss_seg: 0.0356 (0.0382) loss_lansim: 0.0771 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4323 data: 0.0025 max mem: 31671 Epoch: [32] [ 410/5278] eta: 3:18:49 lr: 1.1643237610030081e-05 loss: 0.0327 (0.0358) loss_seg: 0.0355 (0.0381) loss_lansim: 0.0777 (0.0778) loss_contra: 0.0000 (0.0015) time: 2.4350 data: 0.0025 max mem: 31671 Epoch: [32] [ 420/5278] eta: 3:18:28 lr: 1.1640731442291122e-05 loss: 0.0327 (0.0357) loss_seg: 0.0346 (0.0380) loss_lansim: 0.0779 (0.0778) loss_contra: 0.0000 (0.0015) time: 2.4447 data: 0.0024 max mem: 31671 Epoch: [32] [ 430/5278] eta: 3:18:02 lr: 1.1638225214599582e-05 loss: 0.0327 (0.0357) loss_seg: 0.0346 (0.0381) loss_lansim: 0.0779 (0.0778) loss_contra: 0.0000 (0.0015) time: 2.4489 data: 0.0024 max mem: 31671 Epoch: [32] [ 440/5278] eta: 3:17:30 lr: 1.1635718926939688e-05 loss: 0.0327 (0.0357) loss_seg: 0.0346 (0.0381) loss_lansim: 0.0768 (0.0776) loss_contra: 0.0000 (0.0014) time: 2.4480 data: 0.0025 max mem: 31671 Epoch: [32] [ 450/5278] eta: 3:17:08 lr: 1.1633212579295636e-05 loss: 0.0323 (0.0358) loss_seg: 0.0346 (0.0381) loss_lansim: 0.0755 (0.0775) loss_contra: 0.0000 (0.0014) time: 2.4549 data: 0.0025 max mem: 31671 Epoch: [32] [ 460/5278] eta: 3:16:44 lr: 1.1630706171651644e-05 loss: 0.0333 (0.0358) loss_seg: 0.0349 (0.0381) loss_lansim: 0.0757 (0.0776) loss_contra: 0.0000 (0.0014) time: 2.4449 data: 0.0025 max mem: 31671 Epoch: [32] [ 470/5278] eta: 3:16:24 lr: 1.1628199703991902e-05 loss: 0.0350 (0.0359) loss_seg: 0.0373 (0.0382) loss_lansim: 0.0757 (0.0776) loss_contra: 0.0000 (0.0014) time: 2.4532 data: 0.0025 max mem: 31671 Epoch: [32] [ 480/5278] eta: 3:16:00 lr: 1.1625693176300606e-05 loss: 0.0347 (0.0358) loss_seg: 0.0368 (0.0381) loss_lansim: 0.0758 (0.0778) loss_contra: 0.0000 (0.0014) time: 2.4538 data: 0.0025 max mem: 31671 Epoch: [32] [ 490/5278] eta: 3:15:43 lr: 1.1623186588561927e-05 loss: 0.0339 (0.0358) loss_seg: 0.0363 (0.0381) loss_lansim: 0.0771 (0.0777) loss_contra: 0.0000 (0.0014) time: 2.4679 data: 0.0025 max mem: 31671 Epoch: [32] [ 500/5278] eta: 3:15:19 lr: 1.1620679940760041e-05 loss: 0.0339 (0.0357) loss_seg: 0.0363 (0.0381) loss_lansim: 0.0759 (0.0777) loss_contra: 0.0000 (0.0014) time: 2.4659 data: 0.0025 max mem: 31671 Epoch: [32] [ 510/5278] eta: 3:14:52 lr: 1.1618173232879111e-05 loss: 0.0347 (0.0358) loss_seg: 0.0373 (0.0382) loss_lansim: 0.0759 (0.0777) loss_contra: 0.0000 (0.0014) time: 2.4594 data: 0.0025 max mem: 31671 Epoch: [32] [ 520/5278] eta: 3:14:23 lr: 1.1615666464903303e-05 loss: 0.0347 (0.0359) loss_seg: 0.0373 (0.0383) loss_lansim: 0.0761 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4517 data: 0.0025 max mem: 31671 Epoch: [32] [ 530/5278] eta: 3:14:03 lr: 1.1613159636816753e-05 loss: 0.0346 (0.0359) loss_seg: 0.0358 (0.0383) loss_lansim: 0.0764 (0.0778) loss_contra: 0.0000 (0.0013) time: 2.4576 data: 0.0025 max mem: 31671 Epoch: [32] [ 540/5278] eta: 3:13:41 lr: 1.1610652748603606e-05 loss: 0.0346 (0.0360) loss_seg: 0.0358 (0.0384) loss_lansim: 0.0779 (0.0778) loss_contra: 0.0000 (0.0013) time: 2.4675 data: 0.0024 max mem: 31671 Epoch: [32] [ 550/5278] eta: 3:13:21 lr: 1.1608145800247995e-05 loss: 0.0322 (0.0358) loss_seg: 0.0348 (0.0382) loss_lansim: 0.0785 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4706 data: 0.0024 max mem: 31671 Epoch: [32] [ 560/5278] eta: 3:12:55 lr: 1.1605638791734052e-05 loss: 0.0328 (0.0359) loss_seg: 0.0353 (0.0384) loss_lansim: 0.0784 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4697 data: 0.0024 max mem: 31671 Epoch: [32] [ 570/5278] eta: 3:12:25 lr: 1.1603131723045881e-05 loss: 0.0322 (0.0359) loss_seg: 0.0348 (0.0383) loss_lansim: 0.0784 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4588 data: 0.0024 max mem: 31671 Epoch: [32] [ 580/5278] eta: 3:12:03 lr: 1.1600624594167594e-05 loss: 0.0322 (0.0358) loss_seg: 0.0348 (0.0382) loss_lansim: 0.0782 (0.0781) loss_contra: 0.0000 (0.0014) time: 2.4612 data: 0.0024 max mem: 31671 Epoch: [32] [ 590/5278] eta: 3:11:41 lr: 1.1598117405083297e-05 loss: 0.0322 (0.0358) loss_seg: 0.0351 (0.0383) loss_lansim: 0.0777 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4568 data: 0.0024 max mem: 31671 Epoch: [32] [ 600/5278] eta: 3:11:13 lr: 1.1595610155777083e-05 loss: 0.0321 (0.0357) loss_seg: 0.0338 (0.0382) loss_lansim: 0.0775 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4517 data: 0.0024 max mem: 31671 Epoch: [32] [ 610/5278] eta: 3:10:52 lr: 1.1593102846233028e-05 loss: 0.0321 (0.0357) loss_seg: 0.0335 (0.0382) loss_lansim: 0.0775 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4599 data: 0.0024 max mem: 31671 Epoch: [32] [ 620/5278] eta: 3:10:27 lr: 1.1590595476435213e-05 loss: 0.0309 (0.0357) loss_seg: 0.0334 (0.0382) loss_lansim: 0.0770 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4638 data: 0.0023 max mem: 31671 Epoch: [32] [ 630/5278] eta: 3:10:03 lr: 1.1588088046367707e-05 loss: 0.0309 (0.0359) loss_seg: 0.0335 (0.0383) loss_lansim: 0.0771 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4603 data: 0.0023 max mem: 31671 Epoch: [32] [ 640/5278] eta: 3:09:39 lr: 1.1585580556014571e-05 loss: 0.0309 (0.0359) loss_seg: 0.0334 (0.0383) loss_lansim: 0.0768 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4577 data: 0.0023 max mem: 31671 Epoch: [32] [ 650/5278] eta: 3:09:14 lr: 1.158307300535986e-05 loss: 0.0327 (0.0360) loss_seg: 0.0357 (0.0384) loss_lansim: 0.0764 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4520 data: 0.0023 max mem: 31671 Epoch: [32] [ 660/5278] eta: 3:08:53 lr: 1.1580565394387613e-05 loss: 0.0315 (0.0360) loss_seg: 0.0335 (0.0384) loss_lansim: 0.0758 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4583 data: 0.0023 max mem: 31671 Epoch: [32] [ 670/5278] eta: 3:08:31 lr: 1.1578057723081865e-05 loss: 0.0315 (0.0360) loss_seg: 0.0344 (0.0384) loss_lansim: 0.0758 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4677 data: 0.0023 max mem: 31671 Epoch: [32] [ 680/5278] eta: 3:08:10 lr: 1.157554999142665e-05 loss: 0.0319 (0.0360) loss_seg: 0.0345 (0.0385) loss_lansim: 0.0747 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4706 data: 0.0023 max mem: 31671 Epoch: [32] [ 690/5278] eta: 3:07:41 lr: 1.1573042199405992e-05 loss: 0.0319 (0.0360) loss_seg: 0.0345 (0.0385) loss_lansim: 0.0760 (0.0780) loss_contra: 0.0000 (0.0015) time: 2.4611 data: 0.0023 max mem: 31671 Epoch: [32] [ 700/5278] eta: 3:07:21 lr: 1.1570534347003888e-05 loss: 0.0329 (0.0360) loss_seg: 0.0358 (0.0384) loss_lansim: 0.0756 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4727 data: 0.0023 max mem: 31671 Epoch: [32] [ 710/5278] eta: 3:06:55 lr: 1.1568026434204352e-05 loss: 0.0329 (0.0360) loss_seg: 0.0358 (0.0384) loss_lansim: 0.0758 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4664 data: 0.0023 max mem: 31671 Epoch: [32] [ 720/5278] eta: 3:06:31 lr: 1.1565518460991378e-05 loss: 0.0337 (0.0359) loss_seg: 0.0360 (0.0384) loss_lansim: 0.0758 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4682 data: 0.0023 max mem: 31671 Epoch: [32] [ 730/5278] eta: 3:06:04 lr: 1.156301042734896e-05 loss: 0.0332 (0.0359) loss_seg: 0.0356 (0.0383) loss_lansim: 0.0746 (0.0779) loss_contra: 0.0000 (0.0015) time: 2.4631 data: 0.0023 max mem: 31671 Epoch: [32] [ 740/5278] eta: 3:05:44 lr: 1.1560502333261069e-05 loss: 0.0339 (0.0360) loss_seg: 0.0360 (0.0384) loss_lansim: 0.0746 (0.0779) loss_contra: 0.0000 (0.0015) time: 2.4701 data: 0.0023 max mem: 31671 Epoch: [32] [ 750/5278] eta: 3:05:18 lr: 1.1557994178711675e-05 loss: 0.0332 (0.0359) loss_seg: 0.0354 (0.0383) loss_lansim: 0.0751 (0.0779) loss_contra: 0.0000 (0.0015) time: 2.4682 data: 0.0023 max mem: 31671 Epoch: [32] [ 760/5278] eta: 3:04:54 lr: 1.155548596368475e-05 loss: 0.0337 (0.0362) loss_seg: 0.0363 (0.0386) loss_lansim: 0.0765 (0.0780) loss_contra: 0.0000 (0.0015) time: 2.4646 data: 0.0023 max mem: 31671 Epoch: [32] [ 770/5278] eta: 3:04:32 lr: 1.1552977688164247e-05 loss: 0.0338 (0.0362) loss_seg: 0.0364 (0.0387) loss_lansim: 0.0764 (0.0780) loss_contra: 0.0000 (0.0015) time: 2.4668 data: 0.0023 max mem: 31671 Epoch: [32] [ 780/5278] eta: 3:04:09 lr: 1.1550469352134108e-05 loss: 0.0337 (0.0362) loss_seg: 0.0356 (0.0386) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0015) time: 2.4638 data: 0.0023 max mem: 31671 Epoch: [32] [ 790/5278] eta: 3:03:47 lr: 1.1547960955578275e-05 loss: 0.0337 (0.0364) loss_seg: 0.0356 (0.0389) loss_lansim: 0.0758 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4748 data: 0.0023 max mem: 31671 Epoch: [32] [ 800/5278] eta: 3:03:19 lr: 1.154545249848068e-05 loss: 0.0339 (0.0364) loss_seg: 0.0364 (0.0389) loss_lansim: 0.0781 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4615 data: 0.0024 max mem: 31671 Epoch: [32] [ 810/5278] eta: 3:02:57 lr: 1.1542943980825249e-05 loss: 0.0338 (0.0364) loss_seg: 0.0360 (0.0389) loss_lansim: 0.0764 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4679 data: 0.0024 max mem: 31671 Epoch: [32] [ 820/5278] eta: 3:02:33 lr: 1.154043540259589e-05 loss: 0.0338 (0.0364) loss_seg: 0.0351 (0.0389) loss_lansim: 0.0777 (0.0780) loss_contra: 0.0000 (0.0015) time: 2.4689 data: 0.0024 max mem: 31671 Epoch: [32] [ 830/5278] eta: 3:02:09 lr: 1.153792676377651e-05 loss: 0.0338 (0.0364) loss_seg: 0.0360 (0.0389) loss_lansim: 0.0781 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4745 data: 0.0024 max mem: 31671 Epoch: [32] [ 840/5278] eta: 3:01:44 lr: 1.1535418064351008e-05 loss: 0.0329 (0.0365) loss_seg: 0.0350 (0.0389) loss_lansim: 0.0781 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4666 data: 0.0023 max mem: 31671 Epoch: [32] [ 850/5278] eta: 3:01:15 lr: 1.1532909304303284e-05 loss: 0.0327 (0.0364) loss_seg: 0.0349 (0.0389) loss_lansim: 0.0786 (0.0781) loss_contra: 0.0000 (0.0015) time: 2.4602 data: 0.0023 max mem: 31671 Epoch: [32] [ 860/5278] eta: 3:00:53 lr: 1.1530400483617206e-05 loss: 0.0320 (0.0364) loss_seg: 0.0335 (0.0388) loss_lansim: 0.0781 (0.0781) loss_contra: 0.0000 (0.0015) time: 2.4650 data: 0.0023 max mem: 31671 Epoch: [32] [ 870/5278] eta: 3:00:30 lr: 1.1527891602276652e-05 loss: 0.0320 (0.0364) loss_seg: 0.0341 (0.0389) loss_lansim: 0.0788 (0.0782) loss_contra: 0.0000 (0.0015) time: 2.4622 data: 0.0023 max mem: 31671 Epoch: [32] [ 880/5278] eta: 3:00:10 lr: 1.1525382660265488e-05 loss: 0.0321 (0.0364) loss_seg: 0.0346 (0.0389) loss_lansim: 0.0781 (0.0782) loss_contra: 0.0000 (0.0015) time: 2.4699 data: 0.0024 max mem: 31671 Epoch: [32] [ 890/5278] eta: 2:59:50 lr: 1.1522873657567573e-05 loss: 0.0320 (0.0364) loss_seg: 0.0342 (0.0389) loss_lansim: 0.0795 (0.0782) loss_contra: 0.0000 (0.0015) time: 2.4753 data: 0.0024 max mem: 31671 Epoch: [32] [ 900/5278] eta: 2:59:22 lr: 1.1520364594166762e-05 loss: 0.0320 (0.0364) loss_seg: 0.0342 (0.0389) loss_lansim: 0.0795 (0.0782) loss_contra: 0.0000 (0.0015) time: 2.4752 data: 0.0023 max mem: 31671 Epoch: [32] [ 910/5278] eta: 2:58:57 lr: 1.1517855470046882e-05 loss: 0.0319 (0.0363) loss_seg: 0.0327 (0.0388) loss_lansim: 0.0795 (0.0782) loss_contra: 0.0000 (0.0015) time: 2.4687 data: 0.0023 max mem: 31671 Epoch: [32] [ 920/5278] eta: 2:58:32 lr: 1.1515346285191774e-05 loss: 0.0311 (0.0363) loss_seg: 0.0326 (0.0388) loss_lansim: 0.0792 (0.0782) loss_contra: 0.0000 (0.0015) time: 2.4669 data: 0.0024 max mem: 31671 Epoch: [32] [ 930/5278] eta: 2:58:10 lr: 1.1512837039585262e-05 loss: 0.0306 (0.0362) loss_seg: 0.0326 (0.0387) loss_lansim: 0.0790 (0.0782) loss_contra: 0.0000 (0.0014) time: 2.4713 data: 0.0024 max mem: 31671 Epoch: [32] [ 940/5278] eta: 2:57:42 lr: 1.1510327733211166e-05 loss: 0.0312 (0.0363) loss_seg: 0.0327 (0.0389) loss_lansim: 0.0786 (0.0782) loss_contra: 0.0000 (0.0015) time: 2.4657 data: 0.0024 max mem: 31671 Epoch: [32] [ 950/5278] eta: 2:57:19 lr: 1.1507818366053285e-05 loss: 0.0311 (0.0363) loss_seg: 0.0327 (0.0388) loss_lansim: 0.0786 (0.0783) loss_contra: 0.0000 (0.0014) time: 2.4783 data: 0.0024 max mem: 31671 Epoch: [32] [ 960/5278] eta: 2:56:56 lr: 1.1505308938095425e-05 loss: 0.0311 (0.0363) loss_seg: 0.0339 (0.0387) loss_lansim: 0.0790 (0.0783) loss_contra: 0.0000 (0.0015) time: 2.4751 data: 0.0024 max mem: 31671 Epoch: [32] [ 970/5278] eta: 2:56:31 lr: 1.1502799449321375e-05 loss: 0.0307 (0.0362) loss_seg: 0.0327 (0.0387) loss_lansim: 0.0786 (0.0783) loss_contra: 0.0000 (0.0014) time: 2.4724 data: 0.0024 max mem: 31671 Epoch: [32] [ 980/5278] eta: 2:56:02 lr: 1.1500289899714926e-05 loss: 0.0301 (0.0362) loss_seg: 0.0314 (0.0386) loss_lansim: 0.0779 (0.0783) loss_contra: 0.0000 (0.0014) time: 2.4521 data: 0.0024 max mem: 31671 Epoch: [32] [ 990/5278] eta: 2:55:38 lr: 1.1497780289259841e-05 loss: 0.0301 (0.0362) loss_seg: 0.0316 (0.0387) loss_lansim: 0.0772 (0.0783) loss_contra: 0.0000 (0.0014) time: 2.4443 data: 0.0024 max mem: 31671 Epoch: [32] [1000/5278] eta: 2:55:14 lr: 1.1495270617939893e-05 loss: 0.0299 (0.0361) loss_seg: 0.0314 (0.0386) loss_lansim: 0.0762 (0.0783) loss_contra: 0.0000 (0.0014) time: 2.4518 data: 0.0024 max mem: 31671 Epoch: [32] [1010/5278] eta: 2:54:47 lr: 1.149276088573884e-05 loss: 0.0301 (0.0360) loss_seg: 0.0316 (0.0385) loss_lansim: 0.0772 (0.0784) loss_contra: 0.0000 (0.0014) time: 2.4481 data: 0.0024 max mem: 31671 Epoch: [32] [1020/5278] eta: 2:54:21 lr: 1.1490251092640436e-05 loss: 0.0294 (0.0359) loss_seg: 0.0311 (0.0384) loss_lansim: 0.0768 (0.0784) loss_contra: 0.0000 (0.0014) time: 2.4468 data: 0.0023 max mem: 31671 Epoch: [32] [1030/5278] eta: 2:53:54 lr: 1.1487741238628416e-05 loss: 0.0289 (0.0359) loss_seg: 0.0310 (0.0383) loss_lansim: 0.0768 (0.0784) loss_contra: 0.0001 (0.0014) time: 2.4342 data: 0.0024 max mem: 31671 Epoch: [32] [1040/5278] eta: 2:53:31 lr: 1.1485231323686517e-05 loss: 0.0285 (0.0359) loss_seg: 0.0310 (0.0384) loss_lansim: 0.0768 (0.0784) loss_contra: 0.0000 (0.0014) time: 2.4452 data: 0.0024 max mem: 31671 Epoch: [32] [1050/5278] eta: 2:53:04 lr: 1.1482721347798462e-05 loss: 0.0294 (0.0360) loss_seg: 0.0316 (0.0385) loss_lansim: 0.0768 (0.0784) loss_contra: 0.0000 (0.0014) time: 2.4342 data: 0.0024 max mem: 31671 Epoch: [32] [1060/5278] eta: 2:52:38 lr: 1.1480211310947981e-05 loss: 0.0294 (0.0360) loss_seg: 0.0316 (0.0385) loss_lansim: 0.0767 (0.0784) loss_contra: 0.0000 (0.0013) time: 2.4298 data: 0.0024 max mem: 31671 Epoch: [32] [1070/5278] eta: 2:52:16 lr: 1.1477701213118763e-05 loss: 0.0310 (0.0360) loss_seg: 0.0331 (0.0385) loss_lansim: 0.0767 (0.0783) loss_contra: 0.0000 (0.0014) time: 2.4351 data: 0.0024 max mem: 31671 Epoch: [32] [1080/5278] eta: 2:51:48 lr: 1.1475191054294517e-05 loss: 0.0310 (0.0360) loss_seg: 0.0334 (0.0385) loss_lansim: 0.0768 (0.0783) loss_contra: 0.0000 (0.0013) time: 2.4379 data: 0.0024 max mem: 31671 Epoch: [32] [1090/5278] eta: 2:51:26 lr: 1.147268083445894e-05 loss: 0.0316 (0.0360) loss_seg: 0.0334 (0.0385) loss_lansim: 0.0768 (0.0783) loss_contra: 0.0000 (0.0013) time: 2.4412 data: 0.0024 max mem: 31671 Epoch: [32] [1100/5278] eta: 2:51:01 lr: 1.1470170553595715e-05 loss: 0.0318 (0.0359) loss_seg: 0.0338 (0.0384) loss_lansim: 0.0778 (0.0783) loss_contra: 0.0000 (0.0013) time: 2.4391 data: 0.0024 max mem: 31671 Epoch: [32] [1110/5278] eta: 2:50:38 lr: 1.1467660211688508e-05 loss: 0.0309 (0.0358) loss_seg: 0.0326 (0.0383) loss_lansim: 0.0763 (0.0783) loss_contra: 0.0000 (0.0013) time: 2.4495 data: 0.0024 max mem: 31671 Epoch: [32] [1120/5278] eta: 2:50:13 lr: 1.1465149808720994e-05 loss: 0.0321 (0.0359) loss_seg: 0.0334 (0.0384) loss_lansim: 0.0768 (0.0783) loss_contra: 0.0000 (0.0013) time: 2.4500 data: 0.0023 max mem: 31671 Epoch: [32] [1130/5278] eta: 2:49:46 lr: 1.1462639344676828e-05 loss: 0.0323 (0.0360) loss_seg: 0.0346 (0.0384) loss_lansim: 0.0767 (0.0784) loss_contra: 0.0000 (0.0013) time: 2.4497 data: 0.0023 max mem: 31671 Epoch: [32] [1140/5278] eta: 2:49:19 lr: 1.1460128819539666e-05 loss: 0.0321 (0.0359) loss_seg: 0.0345 (0.0384) loss_lansim: 0.0768 (0.0784) loss_contra: 0.0000 (0.0013) time: 2.4385 data: 0.0023 max mem: 31671 Epoch: [32] [1150/5278] eta: 2:48:53 lr: 1.1457618233293151e-05 loss: 0.0320 (0.0360) loss_seg: 0.0334 (0.0385) loss_lansim: 0.0759 (0.0783) loss_contra: 0.0000 (0.0013) time: 2.4428 data: 0.0023 max mem: 31671 Epoch: [32] [1160/5278] eta: 2:48:30 lr: 1.1455107585920907e-05 loss: 0.0321 (0.0361) loss_seg: 0.0345 (0.0386) loss_lansim: 0.0751 (0.0783) loss_contra: 0.0000 (0.0013) time: 2.4467 data: 0.0023 max mem: 31671 Epoch: [32] [1170/5278] eta: 2:48:08 lr: 1.1452596877406565e-05 loss: 0.0310 (0.0360) loss_seg: 0.0327 (0.0385) loss_lansim: 0.0751 (0.0782) loss_contra: 0.0000 (0.0013) time: 2.4491 data: 0.0023 max mem: 31671 Epoch: [32] [1180/5278] eta: 2:47:44 lr: 1.1450086107733742e-05 loss: 0.0305 (0.0360) loss_seg: 0.0326 (0.0385) loss_lansim: 0.0750 (0.0782) loss_contra: 0.0000 (0.0013) time: 2.4585 data: 0.0023 max mem: 31671 Epoch: [32] [1190/5278] eta: 2:47:20 lr: 1.1447575276886052e-05 loss: 0.0303 (0.0359) loss_seg: 0.0325 (0.0384) loss_lansim: 0.0751 (0.0782) loss_contra: 0.0000 (0.0013) time: 2.4549 data: 0.0023 max mem: 31671 Epoch: [32] [1200/5278] eta: 2:46:56 lr: 1.1445064384847085e-05 loss: 0.0303 (0.0359) loss_seg: 0.0326 (0.0384) loss_lansim: 0.0751 (0.0782) loss_contra: 0.0000 (0.0013) time: 2.4588 data: 0.0023 max mem: 31671 Epoch: [32] [1210/5278] eta: 2:46:31 lr: 1.1442553431600438e-05 loss: 0.0316 (0.0359) loss_seg: 0.0332 (0.0384) loss_lansim: 0.0751 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4508 data: 0.0023 max mem: 31671 Epoch: [32] [1220/5278] eta: 2:46:06 lr: 1.1440042417129693e-05 loss: 0.0310 (0.0359) loss_seg: 0.0332 (0.0384) loss_lansim: 0.0749 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4511 data: 0.0023 max mem: 31671 Epoch: [32] [1230/5278] eta: 2:45:44 lr: 1.1437531341418432e-05 loss: 0.0303 (0.0359) loss_seg: 0.0329 (0.0384) loss_lansim: 0.0749 (0.0782) loss_contra: 0.0000 (0.0013) time: 2.4670 data: 0.0024 max mem: 31671 Epoch: [32] [1240/5278] eta: 2:45:18 lr: 1.143502020445021e-05 loss: 0.0303 (0.0359) loss_seg: 0.0329 (0.0384) loss_lansim: 0.0748 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4685 data: 0.0024 max mem: 31671 Epoch: [32] [1250/5278] eta: 2:44:55 lr: 1.1432509006208591e-05 loss: 0.0305 (0.0359) loss_seg: 0.0329 (0.0384) loss_lansim: 0.0749 (0.0781) loss_contra: 0.0000 (0.0012) time: 2.4769 data: 0.0024 max mem: 31671 Epoch: [32] [1260/5278] eta: 2:44:30 lr: 1.1429997746677127e-05 loss: 0.0303 (0.0359) loss_seg: 0.0317 (0.0384) loss_lansim: 0.0754 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4753 data: 0.0023 max mem: 31671 Epoch: [32] [1270/5278] eta: 2:44:06 lr: 1.142748642583936e-05 loss: 0.0306 (0.0359) loss_seg: 0.0317 (0.0384) loss_lansim: 0.0756 (0.0781) loss_contra: 0.0000 (0.0012) time: 2.4691 data: 0.0024 max mem: 31671 Epoch: [32] [1280/5278] eta: 2:43:39 lr: 1.1424975043678816e-05 loss: 0.0311 (0.0359) loss_seg: 0.0333 (0.0384) loss_lansim: 0.0767 (0.0781) loss_contra: 0.0000 (0.0012) time: 2.4578 data: 0.0024 max mem: 31671 Epoch: [32] [1290/5278] eta: 2:43:14 lr: 1.142246360017902e-05 loss: 0.0313 (0.0360) loss_seg: 0.0336 (0.0385) loss_lansim: 0.0754 (0.0781) loss_contra: 0.0000 (0.0012) time: 2.4548 data: 0.0024 max mem: 31671 Epoch: [32] [1300/5278] eta: 2:42:49 lr: 1.1419952095323495e-05 loss: 0.0313 (0.0359) loss_seg: 0.0336 (0.0384) loss_lansim: 0.0754 (0.0781) loss_contra: 0.0000 (0.0012) time: 2.4530 data: 0.0024 max mem: 31671 Epoch: [32] [1310/5278] eta: 2:42:21 lr: 1.1417440529095749e-05 loss: 0.0324 (0.0360) loss_seg: 0.0344 (0.0385) loss_lansim: 0.0754 (0.0781) loss_contra: 0.0000 (0.0012) time: 2.4445 data: 0.0023 max mem: 31671 Epoch: [32] [1320/5278] eta: 2:41:56 lr: 1.1414928901479271e-05 loss: 0.0331 (0.0360) loss_seg: 0.0356 (0.0385) loss_lansim: 0.0763 (0.0781) loss_contra: 0.0000 (0.0012) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [32] [1330/5278] eta: 2:41:32 lr: 1.1412417212457558e-05 loss: 0.0324 (0.0360) loss_seg: 0.0344 (0.0385) loss_lansim: 0.0749 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4361 data: 0.0023 max mem: 31671 Epoch: [32] [1340/5278] eta: 2:41:07 lr: 1.1409905462014092e-05 loss: 0.0324 (0.0360) loss_seg: 0.0344 (0.0385) loss_lansim: 0.0756 (0.0781) loss_contra: 0.0000 (0.0014) time: 2.4393 data: 0.0023 max mem: 31671 Epoch: [32] [1350/5278] eta: 2:40:43 lr: 1.1407393650132354e-05 loss: 0.0331 (0.0360) loss_seg: 0.0344 (0.0385) loss_lansim: 0.0760 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4349 data: 0.0023 max mem: 31671 Epoch: [32] [1360/5278] eta: 2:40:18 lr: 1.1404881776795792e-05 loss: 0.0331 (0.0359) loss_seg: 0.0345 (0.0385) loss_lansim: 0.0756 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4331 data: 0.0023 max mem: 31671 Epoch: [32] [1370/5278] eta: 2:39:52 lr: 1.1402369841987875e-05 loss: 0.0331 (0.0359) loss_seg: 0.0344 (0.0384) loss_lansim: 0.0756 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4277 data: 0.0023 max mem: 31671 Epoch: [32] [1380/5278] eta: 2:39:30 lr: 1.1399857845692045e-05 loss: 0.0331 (0.0359) loss_seg: 0.0346 (0.0384) loss_lansim: 0.0744 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4439 data: 0.0023 max mem: 31671 Epoch: [32] [1390/5278] eta: 2:39:07 lr: 1.1397345787891746e-05 loss: 0.0336 (0.0360) loss_seg: 0.0355 (0.0385) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4520 data: 0.0022 max mem: 31671 Epoch: [32] [1400/5278] eta: 2:38:44 lr: 1.1394833668570417e-05 loss: 0.0345 (0.0359) loss_seg: 0.0356 (0.0385) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4575 data: 0.0022 max mem: 31671 Epoch: [32] [1410/5278] eta: 2:38:19 lr: 1.1392321487711463e-05 loss: 0.0336 (0.0359) loss_seg: 0.0356 (0.0384) loss_lansim: 0.0760 (0.0781) loss_contra: 0.0000 (0.0014) time: 2.4658 data: 0.0022 max mem: 31671 Epoch: [32] [1420/5278] eta: 2:37:53 lr: 1.1389809245298307e-05 loss: 0.0331 (0.0360) loss_seg: 0.0356 (0.0385) loss_lansim: 0.0760 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4622 data: 0.0022 max mem: 31671 Epoch: [32] [1430/5278] eta: 2:37:28 lr: 1.1387296941314353e-05 loss: 0.0346 (0.0360) loss_seg: 0.0362 (0.0384) loss_lansim: 0.0769 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4613 data: 0.0022 max mem: 31671 Epoch: [32] [1440/5278] eta: 2:37:04 lr: 1.1384784575743007e-05 loss: 0.0346 (0.0360) loss_seg: 0.0362 (0.0385) loss_lansim: 0.0760 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4637 data: 0.0023 max mem: 31671 Epoch: [32] [1450/5278] eta: 2:36:40 lr: 1.1382272148567642e-05 loss: 0.0346 (0.0360) loss_seg: 0.0367 (0.0385) loss_lansim: 0.0752 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4639 data: 0.0023 max mem: 31671 Epoch: [32] [1460/5278] eta: 2:36:15 lr: 1.1379759659771647e-05 loss: 0.0348 (0.0360) loss_seg: 0.0372 (0.0385) loss_lansim: 0.0763 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4653 data: 0.0023 max mem: 31671 Epoch: [32] [1470/5278] eta: 2:35:51 lr: 1.1377247109338391e-05 loss: 0.0346 (0.0360) loss_seg: 0.0370 (0.0385) loss_lansim: 0.0762 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4707 data: 0.0023 max mem: 31671 Epoch: [32] [1480/5278] eta: 2:35:26 lr: 1.1374734497251242e-05 loss: 0.0364 (0.0361) loss_seg: 0.0379 (0.0385) loss_lansim: 0.0763 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4622 data: 0.0023 max mem: 31671 Epoch: [32] [1490/5278] eta: 2:35:02 lr: 1.1372221823493546e-05 loss: 0.0344 (0.0360) loss_seg: 0.0370 (0.0385) loss_lansim: 0.0769 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4574 data: 0.0023 max mem: 31671 Epoch: [32] [1500/5278] eta: 2:34:37 lr: 1.136970908804865e-05 loss: 0.0346 (0.0360) loss_seg: 0.0375 (0.0385) loss_lansim: 0.0770 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4504 data: 0.0023 max mem: 31671 Epoch: [32] [1510/5278] eta: 2:34:13 lr: 1.1367196290899894e-05 loss: 0.0346 (0.0360) loss_seg: 0.0375 (0.0385) loss_lansim: 0.0769 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4528 data: 0.0023 max mem: 31671 Epoch: [32] [1520/5278] eta: 2:33:48 lr: 1.1364683432030612e-05 loss: 0.0337 (0.0360) loss_seg: 0.0368 (0.0385) loss_lansim: 0.0762 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4591 data: 0.0023 max mem: 31671 Epoch: [32] [1530/5278] eta: 2:33:25 lr: 1.1362170511424112e-05 loss: 0.0337 (0.0360) loss_seg: 0.0370 (0.0385) loss_lansim: 0.0763 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4661 data: 0.0023 max mem: 31671 Epoch: [32] [1540/5278] eta: 2:33:02 lr: 1.1359657529063709e-05 loss: 0.0335 (0.0360) loss_seg: 0.0365 (0.0385) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4710 data: 0.0023 max mem: 31671 Epoch: [32] [1550/5278] eta: 2:32:38 lr: 1.1357144484932709e-05 loss: 0.0335 (0.0360) loss_seg: 0.0365 (0.0385) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4702 data: 0.0023 max mem: 31671 Epoch: [32] [1560/5278] eta: 2:32:12 lr: 1.1354631379014407e-05 loss: 0.0332 (0.0360) loss_seg: 0.0360 (0.0385) loss_lansim: 0.0770 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4638 data: 0.0023 max mem: 31671 Epoch: [32] [1570/5278] eta: 2:31:48 lr: 1.1352118211292083e-05 loss: 0.0332 (0.0360) loss_seg: 0.0363 (0.0385) loss_lansim: 0.0770 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4679 data: 0.0023 max mem: 31671 Epoch: [32] [1580/5278] eta: 2:31:25 lr: 1.1349604981749014e-05 loss: 0.0328 (0.0360) loss_seg: 0.0358 (0.0385) loss_lansim: 0.0773 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4745 data: 0.0023 max mem: 31671 Epoch: [32] [1590/5278] eta: 2:31:01 lr: 1.1347091690368471e-05 loss: 0.0321 (0.0359) loss_seg: 0.0350 (0.0384) loss_lansim: 0.0773 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4779 data: 0.0023 max mem: 31671 Epoch: [32] [1600/5278] eta: 2:30:37 lr: 1.1344578337133719e-05 loss: 0.0307 (0.0359) loss_seg: 0.0332 (0.0384) loss_lansim: 0.0778 (0.0781) loss_contra: 0.0000 (0.0013) time: 2.4780 data: 0.0023 max mem: 31671 Epoch: [32] [1610/5278] eta: 2:30:10 lr: 1.1342064922027995e-05 loss: 0.0307 (0.0359) loss_seg: 0.0334 (0.0384) loss_lansim: 0.0770 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4709 data: 0.0023 max mem: 31671 Epoch: [32] [1620/5278] eta: 2:29:46 lr: 1.1339551445034551e-05 loss: 0.0307 (0.0359) loss_seg: 0.0335 (0.0384) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4720 data: 0.0022 max mem: 31671 Epoch: [32] [1630/5278] eta: 2:29:22 lr: 1.1337037906136616e-05 loss: 0.0309 (0.0359) loss_seg: 0.0337 (0.0384) loss_lansim: 0.0769 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4675 data: 0.0022 max mem: 31671 Epoch: [32] [1640/5278] eta: 2:28:57 lr: 1.1334524305317417e-05 loss: 0.0319 (0.0359) loss_seg: 0.0342 (0.0384) loss_lansim: 0.0765 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4604 data: 0.0022 max mem: 31671 Epoch: [32] [1650/5278] eta: 2:28:33 lr: 1.1332010642560175e-05 loss: 0.0319 (0.0359) loss_seg: 0.0342 (0.0384) loss_lansim: 0.0755 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4629 data: 0.0022 max mem: 31671 Epoch: [32] [1660/5278] eta: 2:28:08 lr: 1.1329496917848086e-05 loss: 0.0320 (0.0359) loss_seg: 0.0347 (0.0384) loss_lansim: 0.0734 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4654 data: 0.0023 max mem: 31671 Epoch: [32] [1670/5278] eta: 2:27:42 lr: 1.1326983131164355e-05 loss: 0.0319 (0.0360) loss_seg: 0.0342 (0.0385) loss_lansim: 0.0749 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4524 data: 0.0023 max mem: 31671 Epoch: [32] [1680/5278] eta: 2:27:16 lr: 1.1324469282492173e-05 loss: 0.0320 (0.0360) loss_seg: 0.0347 (0.0385) loss_lansim: 0.0753 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4433 data: 0.0023 max mem: 31671 Epoch: [32] [1690/5278] eta: 2:26:52 lr: 1.1321955371814724e-05 loss: 0.0328 (0.0360) loss_seg: 0.0352 (0.0385) loss_lansim: 0.0749 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4401 data: 0.0023 max mem: 31671 Epoch: [32] [1700/5278] eta: 2:26:28 lr: 1.1319441399115171e-05 loss: 0.0338 (0.0360) loss_seg: 0.0362 (0.0385) loss_lansim: 0.0746 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4416 data: 0.0023 max mem: 31671 Epoch: [32] [1710/5278] eta: 2:26:02 lr: 1.1316927364376685e-05 loss: 0.0333 (0.0359) loss_seg: 0.0361 (0.0384) loss_lansim: 0.0737 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4424 data: 0.0023 max mem: 31671 Epoch: [32] [1720/5278] eta: 2:25:38 lr: 1.131441326758242e-05 loss: 0.0328 (0.0359) loss_seg: 0.0360 (0.0384) loss_lansim: 0.0733 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4423 data: 0.0023 max mem: 31671 Epoch: [32] [1730/5278] eta: 2:25:13 lr: 1.1311899108715525e-05 loss: 0.0328 (0.0359) loss_seg: 0.0345 (0.0384) loss_lansim: 0.0732 (0.0778) loss_contra: 0.0000 (0.0012) time: 2.4371 data: 0.0023 max mem: 31671 Epoch: [32] [1740/5278] eta: 2:24:47 lr: 1.130938488775913e-05 loss: 0.0333 (0.0359) loss_seg: 0.0348 (0.0384) loss_lansim: 0.0733 (0.0778) loss_contra: 0.0000 (0.0012) time: 2.4355 data: 0.0023 max mem: 31671 Epoch: [32] [1750/5278] eta: 2:24:24 lr: 1.130687060469637e-05 loss: 0.0314 (0.0359) loss_seg: 0.0338 (0.0384) loss_lansim: 0.0757 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4370 data: 0.0023 max mem: 31671 Epoch: [32] [1760/5278] eta: 2:23:57 lr: 1.130435625951036e-05 loss: 0.0314 (0.0359) loss_seg: 0.0338 (0.0384) loss_lansim: 0.0762 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4316 data: 0.0023 max mem: 31671 Epoch: [32] [1770/5278] eta: 2:23:32 lr: 1.1301841852184223e-05 loss: 0.0319 (0.0359) loss_seg: 0.0345 (0.0384) loss_lansim: 0.0757 (0.0779) loss_contra: 0.0000 (0.0013) time: 2.4348 data: 0.0022 max mem: 31671 Epoch: [32] [1780/5278] eta: 2:23:08 lr: 1.1299327382701048e-05 loss: 0.0323 (0.0360) loss_seg: 0.0345 (0.0385) loss_lansim: 0.0757 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4414 data: 0.0023 max mem: 31671 Epoch: [32] [1790/5278] eta: 2:22:42 lr: 1.1296812851043936e-05 loss: 0.0330 (0.0360) loss_seg: 0.0359 (0.0385) loss_lansim: 0.0757 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4331 data: 0.0023 max mem: 31671 Epoch: [32] [1800/5278] eta: 2:22:16 lr: 1.1294298257195968e-05 loss: 0.0327 (0.0359) loss_seg: 0.0345 (0.0384) loss_lansim: 0.0759 (0.0779) loss_contra: 0.0001 (0.0012) time: 2.4258 data: 0.0023 max mem: 31671 Epoch: [32] [1810/5278] eta: 2:21:51 lr: 1.1291783601140229e-05 loss: 0.0328 (0.0359) loss_seg: 0.0344 (0.0384) loss_lansim: 0.0762 (0.0779) loss_contra: 0.0001 (0.0012) time: 2.4301 data: 0.0023 max mem: 31671 Epoch: [32] [1820/5278] eta: 2:21:26 lr: 1.1289268882859776e-05 loss: 0.0328 (0.0359) loss_seg: 0.0344 (0.0384) loss_lansim: 0.0760 (0.0778) loss_contra: 0.0000 (0.0012) time: 2.4213 data: 0.0023 max mem: 31671 Epoch: [32] [1830/5278] eta: 2:21:00 lr: 1.128675410233767e-05 loss: 0.0327 (0.0359) loss_seg: 0.0344 (0.0384) loss_lansim: 0.0763 (0.0779) loss_contra: 0.0001 (0.0012) time: 2.4208 data: 0.0023 max mem: 31671 Epoch: [32] [1840/5278] eta: 2:20:36 lr: 1.1284239259556965e-05 loss: 0.0314 (0.0358) loss_seg: 0.0341 (0.0383) loss_lansim: 0.0771 (0.0779) loss_contra: 0.0001 (0.0012) time: 2.4226 data: 0.0023 max mem: 31671 Epoch: [32] [1850/5278] eta: 2:20:11 lr: 1.1281724354500698e-05 loss: 0.0315 (0.0359) loss_seg: 0.0342 (0.0384) loss_lansim: 0.0768 (0.0779) loss_contra: 0.0001 (0.0012) time: 2.4195 data: 0.0023 max mem: 31671 Epoch: [32] [1860/5278] eta: 2:19:46 lr: 1.1279209387151908e-05 loss: 0.0313 (0.0359) loss_seg: 0.0341 (0.0384) loss_lansim: 0.0760 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4265 data: 0.0023 max mem: 31671 Epoch: [32] [1870/5278] eta: 2:19:22 lr: 1.127669435749361e-05 loss: 0.0312 (0.0359) loss_seg: 0.0341 (0.0384) loss_lansim: 0.0758 (0.0778) loss_contra: 0.0000 (0.0012) time: 2.4301 data: 0.0024 max mem: 31671 Epoch: [32] [1880/5278] eta: 2:18:56 lr: 1.127417926550882e-05 loss: 0.0303 (0.0359) loss_seg: 0.0324 (0.0384) loss_lansim: 0.0757 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4216 data: 0.0024 max mem: 31671 Epoch: [32] [1890/5278] eta: 2:18:31 lr: 1.1271664111180548e-05 loss: 0.0300 (0.0359) loss_seg: 0.0320 (0.0384) loss_lansim: 0.0760 (0.0778) loss_contra: 0.0000 (0.0012) time: 2.4259 data: 0.0024 max mem: 31671 Epoch: [32] [1900/5278] eta: 2:18:08 lr: 1.1269148894491793e-05 loss: 0.0300 (0.0359) loss_seg: 0.0319 (0.0384) loss_lansim: 0.0761 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4362 data: 0.0024 max mem: 31671 Epoch: [32] [1910/5278] eta: 2:17:44 lr: 1.1266633615425534e-05 loss: 0.0303 (0.0359) loss_seg: 0.0324 (0.0384) loss_lansim: 0.0761 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4457 data: 0.0024 max mem: 31671 Epoch: [32] [1920/5278] eta: 2:17:19 lr: 1.1264118273964754e-05 loss: 0.0307 (0.0359) loss_seg: 0.0334 (0.0384) loss_lansim: 0.0763 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4464 data: 0.0024 max mem: 31671 Epoch: [32] [1930/5278] eta: 2:16:55 lr: 1.1261602870092423e-05 loss: 0.0313 (0.0360) loss_seg: 0.0338 (0.0385) loss_lansim: 0.0763 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4525 data: 0.0024 max mem: 31671 Epoch: [32] [1940/5278] eta: 2:16:30 lr: 1.1259087403791512e-05 loss: 0.0313 (0.0359) loss_seg: 0.0338 (0.0384) loss_lansim: 0.0763 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4502 data: 0.0024 max mem: 31671 Epoch: [32] [1950/5278] eta: 2:16:06 lr: 1.1256571875044956e-05 loss: 0.0319 (0.0359) loss_seg: 0.0338 (0.0384) loss_lansim: 0.0769 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4515 data: 0.0024 max mem: 31671 Epoch: [32] [1960/5278] eta: 2:15:40 lr: 1.125405628383571e-05 loss: 0.0319 (0.0359) loss_seg: 0.0338 (0.0384) loss_lansim: 0.0786 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4499 data: 0.0024 max mem: 31671 Epoch: [32] [1970/5278] eta: 2:15:16 lr: 1.1251540630146707e-05 loss: 0.0306 (0.0359) loss_seg: 0.0333 (0.0383) loss_lansim: 0.0793 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4503 data: 0.0024 max mem: 31671 Epoch: [32] [1980/5278] eta: 2:14:52 lr: 1.1249024913960877e-05 loss: 0.0306 (0.0358) loss_seg: 0.0327 (0.0383) loss_lansim: 0.0793 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4587 data: 0.0023 max mem: 31671 Epoch: [32] [1990/5278] eta: 2:14:27 lr: 1.1246509135261127e-05 loss: 0.0307 (0.0358) loss_seg: 0.0327 (0.0383) loss_lansim: 0.0788 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4572 data: 0.0023 max mem: 31671 Epoch: [32] [2000/5278] eta: 2:14:03 lr: 1.124399329403037e-05 loss: 0.0308 (0.0358) loss_seg: 0.0333 (0.0383) loss_lansim: 0.0792 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4558 data: 0.0023 max mem: 31671 Epoch: [32] [2010/5278] eta: 2:13:39 lr: 1.1241477390251505e-05 loss: 0.0305 (0.0358) loss_seg: 0.0319 (0.0383) loss_lansim: 0.0792 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4520 data: 0.0023 max mem: 31671 Epoch: [32] [2020/5278] eta: 2:13:15 lr: 1.1238961423907429e-05 loss: 0.0291 (0.0357) loss_seg: 0.0313 (0.0382) loss_lansim: 0.0793 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4634 data: 0.0023 max mem: 31671 Epoch: [32] [2030/5278] eta: 2:12:51 lr: 1.1236445394981012e-05 loss: 0.0286 (0.0358) loss_seg: 0.0307 (0.0383) loss_lansim: 0.0792 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4624 data: 0.0023 max mem: 31671 Epoch: [32] [2040/5278] eta: 2:12:26 lr: 1.1233929303455129e-05 loss: 0.0290 (0.0358) loss_seg: 0.0314 (0.0383) loss_lansim: 0.0793 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4667 data: 0.0023 max mem: 31671 Epoch: [32] [2050/5278] eta: 2:12:01 lr: 1.1231413149312647e-05 loss: 0.0293 (0.0358) loss_seg: 0.0318 (0.0383) loss_lansim: 0.0788 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4587 data: 0.0023 max mem: 31671 Epoch: [32] [2060/5278] eta: 2:11:37 lr: 1.1228896932536423e-05 loss: 0.0293 (0.0357) loss_seg: 0.0314 (0.0382) loss_lansim: 0.0792 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4638 data: 0.0023 max mem: 31671 Epoch: [32] [2070/5278] eta: 2:11:11 lr: 1.1226380653109292e-05 loss: 0.0307 (0.0357) loss_seg: 0.0315 (0.0382) loss_lansim: 0.0782 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4556 data: 0.0023 max mem: 31671 Epoch: [32] [2080/5278] eta: 2:10:47 lr: 1.12238643110141e-05 loss: 0.0311 (0.0358) loss_seg: 0.0335 (0.0382) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4589 data: 0.0023 max mem: 31671 Epoch: [32] [2090/5278] eta: 2:10:22 lr: 1.1221347906233668e-05 loss: 0.0307 (0.0357) loss_seg: 0.0334 (0.0382) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4581 data: 0.0023 max mem: 31671 Epoch: [32] [2100/5278] eta: 2:09:58 lr: 1.121883143875082e-05 loss: 0.0307 (0.0358) loss_seg: 0.0332 (0.0382) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4581 data: 0.0024 max mem: 31671 Epoch: [32] [2110/5278] eta: 2:09:35 lr: 1.1216314908548367e-05 loss: 0.0307 (0.0357) loss_seg: 0.0332 (0.0382) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4681 data: 0.0024 max mem: 31671 Epoch: [32] [2120/5278] eta: 2:09:11 lr: 1.12137983156091e-05 loss: 0.0313 (0.0358) loss_seg: 0.0334 (0.0383) loss_lansim: 0.0773 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4648 data: 0.0024 max mem: 31671 Epoch: [32] [2130/5278] eta: 2:08:47 lr: 1.1211281659915816e-05 loss: 0.0307 (0.0358) loss_seg: 0.0332 (0.0383) loss_lansim: 0.0773 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4670 data: 0.0024 max mem: 31671 Epoch: [32] [2140/5278] eta: 2:08:22 lr: 1.1208764941451298e-05 loss: 0.0307 (0.0358) loss_seg: 0.0328 (0.0383) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4619 data: 0.0024 max mem: 31671 Epoch: [32] [2150/5278] eta: 2:07:58 lr: 1.1206248160198324e-05 loss: 0.0306 (0.0358) loss_seg: 0.0325 (0.0382) loss_lansim: 0.0752 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4707 data: 0.0024 max mem: 31671 Epoch: [32] [2160/5278] eta: 2:07:33 lr: 1.1203731316139649e-05 loss: 0.0308 (0.0358) loss_seg: 0.0332 (0.0383) loss_lansim: 0.0752 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4689 data: 0.0024 max mem: 31671 Epoch: [32] [2170/5278] eta: 2:07:09 lr: 1.120121440925803e-05 loss: 0.0308 (0.0358) loss_seg: 0.0332 (0.0383) loss_lansim: 0.0754 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4791 data: 0.0024 max mem: 31671 Epoch: [32] [2180/5278] eta: 2:06:45 lr: 1.1198697439536218e-05 loss: 0.0308 (0.0358) loss_seg: 0.0332 (0.0383) loss_lansim: 0.0758 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4778 data: 0.0024 max mem: 31671 Epoch: [32] [2190/5278] eta: 2:06:20 lr: 1.1196180406956954e-05 loss: 0.0313 (0.0358) loss_seg: 0.0332 (0.0383) loss_lansim: 0.0754 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4808 data: 0.0024 max mem: 31671 Epoch: [32] [2200/5278] eta: 2:05:56 lr: 1.1193663311502956e-05 loss: 0.0313 (0.0358) loss_seg: 0.0331 (0.0383) loss_lansim: 0.0754 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4804 data: 0.0024 max mem: 31671 Epoch: [32] [2210/5278] eta: 2:05:31 lr: 1.1191146153156945e-05 loss: 0.0318 (0.0358) loss_seg: 0.0331 (0.0383) loss_lansim: 0.0759 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4628 data: 0.0023 max mem: 31671 Epoch: [32] [2220/5278] eta: 2:05:07 lr: 1.1188628931901635e-05 loss: 0.0315 (0.0358) loss_seg: 0.0331 (0.0383) loss_lansim: 0.0759 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4625 data: 0.0023 max mem: 31671 Epoch: [32] [2230/5278] eta: 2:04:43 lr: 1.1186111647719733e-05 loss: 0.0320 (0.0358) loss_seg: 0.0339 (0.0383) loss_lansim: 0.0759 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4629 data: 0.0023 max mem: 31671 Epoch: [32] [2240/5278] eta: 2:04:18 lr: 1.1183594300593917e-05 loss: 0.0323 (0.0358) loss_seg: 0.0345 (0.0383) loss_lansim: 0.0767 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4642 data: 0.0023 max mem: 31671 Epoch: [32] [2250/5278] eta: 2:03:54 lr: 1.1181076890506876e-05 loss: 0.0319 (0.0358) loss_seg: 0.0336 (0.0383) loss_lansim: 0.0760 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4635 data: 0.0023 max mem: 31671 Epoch: [32] [2260/5278] eta: 2:03:28 lr: 1.1178559417441283e-05 loss: 0.0315 (0.0358) loss_seg: 0.0332 (0.0383) loss_lansim: 0.0762 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4589 data: 0.0023 max mem: 31671 Epoch: [32] [2270/5278] eta: 2:03:04 lr: 1.1176041881379811e-05 loss: 0.0321 (0.0358) loss_seg: 0.0336 (0.0383) loss_lansim: 0.0770 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4592 data: 0.0023 max mem: 31671 Epoch: [32] [2280/5278] eta: 2:02:39 lr: 1.1173524282305105e-05 loss: 0.0320 (0.0358) loss_seg: 0.0334 (0.0383) loss_lansim: 0.0772 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4518 data: 0.0023 max mem: 31671 Epoch: [32] [2290/5278] eta: 2:02:14 lr: 1.1171006620199813e-05 loss: 0.0324 (0.0358) loss_seg: 0.0339 (0.0383) loss_lansim: 0.0776 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4464 data: 0.0024 max mem: 31671 Epoch: [32] [2300/5278] eta: 2:01:49 lr: 1.1168488895046575e-05 loss: 0.0327 (0.0358) loss_seg: 0.0340 (0.0383) loss_lansim: 0.0772 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4426 data: 0.0024 max mem: 31671 Epoch: [32] [2310/5278] eta: 2:01:25 lr: 1.1165971106828022e-05 loss: 0.0323 (0.0358) loss_seg: 0.0339 (0.0383) loss_lansim: 0.0772 (0.0779) loss_contra: 0.0000 (0.0012) time: 2.4471 data: 0.0023 max mem: 31671 Epoch: [32] [2320/5278] eta: 2:01:00 lr: 1.1163453255526766e-05 loss: 0.0324 (0.0358) loss_seg: 0.0340 (0.0383) loss_lansim: 0.0779 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4480 data: 0.0024 max mem: 31671 Epoch: [32] [2330/5278] eta: 2:00:36 lr: 1.116093534112542e-05 loss: 0.0321 (0.0358) loss_seg: 0.0339 (0.0383) loss_lansim: 0.0784 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4473 data: 0.0024 max mem: 31671 Epoch: [32] [2340/5278] eta: 2:00:12 lr: 1.1158417363606585e-05 loss: 0.0319 (0.0358) loss_seg: 0.0339 (0.0382) loss_lansim: 0.0770 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4551 data: 0.0024 max mem: 31671 Epoch: [32] [2350/5278] eta: 1:59:48 lr: 1.1155899322952853e-05 loss: 0.0324 (0.0358) loss_seg: 0.0345 (0.0383) loss_lansim: 0.0776 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4496 data: 0.0024 max mem: 31671 Epoch: [32] [2360/5278] eta: 1:59:23 lr: 1.115338121914681e-05 loss: 0.0324 (0.0358) loss_seg: 0.0349 (0.0383) loss_lansim: 0.0784 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4527 data: 0.0024 max mem: 31671 Epoch: [32] [2370/5278] eta: 1:58:59 lr: 1.1150863052171022e-05 loss: 0.0322 (0.0358) loss_seg: 0.0340 (0.0383) loss_lansim: 0.0776 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4580 data: 0.0024 max mem: 31671 Epoch: [32] [2380/5278] eta: 1:58:34 lr: 1.1148344822008053e-05 loss: 0.0327 (0.0358) loss_seg: 0.0350 (0.0383) loss_lansim: 0.0768 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4598 data: 0.0024 max mem: 31671 Epoch: [32] [2390/5278] eta: 1:58:09 lr: 1.1145826528640464e-05 loss: 0.0327 (0.0358) loss_seg: 0.0350 (0.0383) loss_lansim: 0.0768 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4561 data: 0.0024 max mem: 31671 Epoch: [32] [2400/5278] eta: 1:57:45 lr: 1.1143308172050802e-05 loss: 0.0329 (0.0358) loss_seg: 0.0356 (0.0383) loss_lansim: 0.0782 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4645 data: 0.0024 max mem: 31671 Epoch: [32] [2410/5278] eta: 1:57:21 lr: 1.1140789752221593e-05 loss: 0.0336 (0.0358) loss_seg: 0.0363 (0.0383) loss_lansim: 0.0782 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4692 data: 0.0024 max mem: 31671 Epoch: [32] [2420/5278] eta: 1:56:56 lr: 1.1138271269135372e-05 loss: 0.0336 (0.0359) loss_seg: 0.0363 (0.0384) loss_lansim: 0.0782 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4645 data: 0.0024 max mem: 31671 Epoch: [32] [2430/5278] eta: 1:56:32 lr: 1.1135752722774654e-05 loss: 0.0346 (0.0359) loss_seg: 0.0364 (0.0384) loss_lansim: 0.0781 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4606 data: 0.0024 max mem: 31671 Epoch: [32] [2440/5278] eta: 1:56:07 lr: 1.1133234113121955e-05 loss: 0.0350 (0.0359) loss_seg: 0.0364 (0.0384) loss_lansim: 0.0782 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4577 data: 0.0024 max mem: 31671 Epoch: [32] [2450/5278] eta: 1:55:43 lr: 1.1130715440159762e-05 loss: 0.0347 (0.0359) loss_seg: 0.0363 (0.0383) loss_lansim: 0.0781 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4598 data: 0.0023 max mem: 31671 Epoch: [32] [2460/5278] eta: 1:55:18 lr: 1.1128196703870573e-05 loss: 0.0347 (0.0359) loss_seg: 0.0364 (0.0384) loss_lansim: 0.0777 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4657 data: 0.0023 max mem: 31671 Epoch: [32] [2470/5278] eta: 1:54:54 lr: 1.1125677904236868e-05 loss: 0.0350 (0.0359) loss_seg: 0.0374 (0.0384) loss_lansim: 0.0777 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4567 data: 0.0022 max mem: 31671 Epoch: [32] [2480/5278] eta: 1:54:29 lr: 1.1123159041241124e-05 loss: 0.0330 (0.0359) loss_seg: 0.0346 (0.0384) loss_lansim: 0.0774 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4539 data: 0.0022 max mem: 31671 Epoch: [32] [2490/5278] eta: 1:54:04 lr: 1.1120640114865793e-05 loss: 0.0333 (0.0359) loss_seg: 0.0356 (0.0384) loss_lansim: 0.0767 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4633 data: 0.0022 max mem: 31671 Epoch: [32] [2500/5278] eta: 1:53:39 lr: 1.1118121125093334e-05 loss: 0.0330 (0.0359) loss_seg: 0.0352 (0.0384) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4561 data: 0.0022 max mem: 31671 Epoch: [32] [2510/5278] eta: 1:53:15 lr: 1.111560207190619e-05 loss: 0.0330 (0.0359) loss_seg: 0.0352 (0.0384) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4530 data: 0.0022 max mem: 31671 Epoch: [32] [2520/5278] eta: 1:52:50 lr: 1.1113082955286803e-05 loss: 0.0319 (0.0359) loss_seg: 0.0338 (0.0384) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4494 data: 0.0022 max mem: 31671 Epoch: [32] [2530/5278] eta: 1:52:24 lr: 1.1110563775217585e-05 loss: 0.0324 (0.0358) loss_seg: 0.0341 (0.0383) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4405 data: 0.0022 max mem: 31671 Epoch: [32] [2540/5278] eta: 1:52:00 lr: 1.110804453168096e-05 loss: 0.0321 (0.0359) loss_seg: 0.0341 (0.0384) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4371 data: 0.0023 max mem: 31671 Epoch: [32] [2550/5278] eta: 1:51:35 lr: 1.1105525224659332e-05 loss: 0.0324 (0.0359) loss_seg: 0.0352 (0.0384) loss_lansim: 0.0755 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4397 data: 0.0023 max mem: 31671 Epoch: [32] [2560/5278] eta: 1:51:11 lr: 1.1103005854135107e-05 loss: 0.0344 (0.0359) loss_seg: 0.0356 (0.0384) loss_lansim: 0.0750 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4328 data: 0.0023 max mem: 31671 Epoch: [32] [2570/5278] eta: 1:50:47 lr: 1.110048642009066e-05 loss: 0.0350 (0.0359) loss_seg: 0.0378 (0.0384) loss_lansim: 0.0755 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4415 data: 0.0023 max mem: 31671 Epoch: [32] [2580/5278] eta: 1:50:22 lr: 1.1097966922508379e-05 loss: 0.0357 (0.0360) loss_seg: 0.0384 (0.0385) loss_lansim: 0.0763 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4438 data: 0.0023 max mem: 31671 Epoch: [32] [2590/5278] eta: 1:49:57 lr: 1.1095447361370628e-05 loss: 0.0352 (0.0360) loss_seg: 0.0378 (0.0385) loss_lansim: 0.0772 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4402 data: 0.0023 max mem: 31671 Epoch: [32] [2600/5278] eta: 1:49:33 lr: 1.109292773665977e-05 loss: 0.0361 (0.0360) loss_seg: 0.0384 (0.0385) loss_lansim: 0.0785 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [32] [2610/5278] eta: 1:49:08 lr: 1.1090408048358161e-05 loss: 0.0357 (0.0360) loss_seg: 0.0384 (0.0385) loss_lansim: 0.0770 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4422 data: 0.0023 max mem: 31671 Epoch: [32] [2620/5278] eta: 1:48:44 lr: 1.1087888296448133e-05 loss: 0.0364 (0.0360) loss_seg: 0.0393 (0.0386) loss_lansim: 0.0768 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4470 data: 0.0023 max mem: 31671 Epoch: [32] [2630/5278] eta: 1:48:19 lr: 1.1085368480912022e-05 loss: 0.0367 (0.0360) loss_seg: 0.0393 (0.0386) loss_lansim: 0.0763 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4516 data: 0.0023 max mem: 31671 Epoch: [32] [2640/5278] eta: 1:47:54 lr: 1.1082848601732151e-05 loss: 0.0367 (0.0360) loss_seg: 0.0393 (0.0385) loss_lansim: 0.0760 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4529 data: 0.0023 max mem: 31671 Epoch: [32] [2650/5278] eta: 1:47:30 lr: 1.1080328658890839e-05 loss: 0.0357 (0.0360) loss_seg: 0.0385 (0.0385) loss_lansim: 0.0789 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4544 data: 0.0023 max mem: 31671 Epoch: [32] [2660/5278] eta: 1:47:05 lr: 1.107780865237038e-05 loss: 0.0356 (0.0360) loss_seg: 0.0384 (0.0386) loss_lansim: 0.0778 (0.0780) loss_contra: 0.0000 (0.0012) time: 2.4565 data: 0.0023 max mem: 31671 Epoch: [32] [2670/5278] eta: 1:46:40 lr: 1.107528858215307e-05 loss: 0.0344 (0.0360) loss_seg: 0.0372 (0.0386) loss_lansim: 0.0760 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4454 data: 0.0023 max mem: 31671 Epoch: [32] [2680/5278] eta: 1:46:16 lr: 1.1072768448221198e-05 loss: 0.0343 (0.0361) loss_seg: 0.0362 (0.0386) loss_lansim: 0.0760 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4456 data: 0.0023 max mem: 31671 Epoch: [32] [2690/5278] eta: 1:45:51 lr: 1.1070248250557048e-05 loss: 0.0331 (0.0360) loss_seg: 0.0358 (0.0386) loss_lansim: 0.0754 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4477 data: 0.0023 max mem: 31671 Epoch: [32] [2700/5278] eta: 1:45:27 lr: 1.106772798914287e-05 loss: 0.0331 (0.0361) loss_seg: 0.0359 (0.0386) loss_lansim: 0.0752 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4473 data: 0.0023 max mem: 31671 Epoch: [32] [2710/5278] eta: 1:45:03 lr: 1.1065207663960926e-05 loss: 0.0331 (0.0361) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0757 (0.0780) loss_contra: 0.0000 (0.0013) time: 2.4555 data: 0.0023 max mem: 31671 Epoch: [32] [2720/5278] eta: 1:44:38 lr: 1.1062687274993467e-05 loss: 0.0327 (0.0361) loss_seg: 0.0358 (0.0386) loss_lansim: 0.0756 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4556 data: 0.0023 max mem: 31671 Epoch: [32] [2730/5278] eta: 1:44:13 lr: 1.1060166822222737e-05 loss: 0.0324 (0.0361) loss_seg: 0.0350 (0.0386) loss_lansim: 0.0752 (0.0780) loss_contra: 0.0000 (0.0014) time: 2.4472 data: 0.0023 max mem: 31671 Epoch: [32] [2740/5278] eta: 1:43:49 lr: 1.1057646305630951e-05 loss: 0.0320 (0.0361) loss_seg: 0.0350 (0.0386) loss_lansim: 0.0745 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4562 data: 0.0023 max mem: 31671 Epoch: [32] [2750/5278] eta: 1:43:24 lr: 1.1055125725200335e-05 loss: 0.0327 (0.0361) loss_seg: 0.0358 (0.0387) loss_lansim: 0.0740 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4493 data: 0.0023 max mem: 31671 Epoch: [32] [2760/5278] eta: 1:43:00 lr: 1.1052605080913097e-05 loss: 0.0320 (0.0361) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0744 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4517 data: 0.0023 max mem: 31671 Epoch: [32] [2770/5278] eta: 1:42:35 lr: 1.1050084372751445e-05 loss: 0.0324 (0.0361) loss_seg: 0.0356 (0.0386) loss_lansim: 0.0745 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4569 data: 0.0024 max mem: 31671 Epoch: [32] [2780/5278] eta: 1:42:11 lr: 1.1047563600697556e-05 loss: 0.0320 (0.0361) loss_seg: 0.0352 (0.0386) loss_lansim: 0.0745 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4598 data: 0.0024 max mem: 31671 Epoch: [32] [2790/5278] eta: 1:41:46 lr: 1.104504276473362e-05 loss: 0.0319 (0.0361) loss_seg: 0.0349 (0.0386) loss_lansim: 0.0745 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4644 data: 0.0024 max mem: 31671 Epoch: [32] [2800/5278] eta: 1:41:22 lr: 1.1042521864841809e-05 loss: 0.0312 (0.0361) loss_seg: 0.0341 (0.0386) loss_lansim: 0.0745 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4578 data: 0.0025 max mem: 31671 Epoch: [32] [2810/5278] eta: 1:40:57 lr: 1.1040000901004288e-05 loss: 0.0305 (0.0361) loss_seg: 0.0329 (0.0386) loss_lansim: 0.0744 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4505 data: 0.0025 max mem: 31671 Epoch: [32] [2820/5278] eta: 1:40:33 lr: 1.1037479873203199e-05 loss: 0.0316 (0.0361) loss_seg: 0.0341 (0.0386) loss_lansim: 0.0745 (0.0779) loss_contra: 0.0001 (0.0014) time: 2.4555 data: 0.0025 max mem: 31671 Epoch: [32] [2830/5278] eta: 1:40:09 lr: 1.1034958781420693e-05 loss: 0.0316 (0.0361) loss_seg: 0.0333 (0.0387) loss_lansim: 0.0750 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4710 data: 0.0025 max mem: 31671 Epoch: [32] [2840/5278] eta: 1:39:44 lr: 1.1032437625638903e-05 loss: 0.0317 (0.0361) loss_seg: 0.0341 (0.0387) loss_lansim: 0.0770 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4590 data: 0.0025 max mem: 31671 Epoch: [32] [2850/5278] eta: 1:39:20 lr: 1.1029916405839951e-05 loss: 0.0312 (0.0361) loss_seg: 0.0331 (0.0386) loss_lansim: 0.0767 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4652 data: 0.0025 max mem: 31671 Epoch: [32] [2860/5278] eta: 1:38:55 lr: 1.1027395122005962e-05 loss: 0.0303 (0.0361) loss_seg: 0.0328 (0.0386) loss_lansim: 0.0767 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4623 data: 0.0025 max mem: 31671 Epoch: [32] [2870/5278] eta: 1:38:31 lr: 1.1024873774119026e-05 loss: 0.0306 (0.0361) loss_seg: 0.0330 (0.0387) loss_lansim: 0.0770 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4638 data: 0.0024 max mem: 31671 Epoch: [32] [2880/5278] eta: 1:38:06 lr: 1.1022352362161244e-05 loss: 0.0312 (0.0361) loss_seg: 0.0333 (0.0387) loss_lansim: 0.0770 (0.0779) loss_contra: 0.0000 (0.0014) time: 2.4678 data: 0.0024 max mem: 31671 Epoch: [32] [2890/5278] eta: 1:37:42 lr: 1.1019830886114705e-05 loss: 0.0323 (0.0361) loss_seg: 0.0348 (0.0387) loss_lansim: 0.0753 (0.0778) loss_contra: 0.0000 (0.0014) time: 2.4706 data: 0.0024 max mem: 31671 Epoch: [32] [2900/5278] eta: 1:37:18 lr: 1.1017309345961488e-05 loss: 0.0318 (0.0362) loss_seg: 0.0339 (0.0387) loss_lansim: 0.0741 (0.0778) loss_contra: 0.0000 (0.0014) time: 2.4716 data: 0.0024 max mem: 31671 Epoch: [32] [2910/5278] eta: 1:36:52 lr: 1.101478774168365e-05 loss: 0.0325 (0.0362) loss_seg: 0.0354 (0.0387) loss_lansim: 0.0741 (0.0778) loss_contra: 0.0000 (0.0014) time: 2.4607 data: 0.0024 max mem: 31671 Epoch: [32] [2920/5278] eta: 1:36:27 lr: 1.1012266073263256e-05 loss: 0.0323 (0.0362) loss_seg: 0.0340 (0.0387) loss_lansim: 0.0736 (0.0778) loss_contra: 0.0000 (0.0014) time: 2.4502 data: 0.0024 max mem: 31671 Epoch: [32] [2930/5278] eta: 1:36:02 lr: 1.100974434068235e-05 loss: 0.0324 (0.0362) loss_seg: 0.0354 (0.0387) loss_lansim: 0.0734 (0.0778) loss_contra: 0.0000 (0.0013) time: 2.4434 data: 0.0025 max mem: 31671 Epoch: [32] [2940/5278] eta: 1:35:37 lr: 1.100722254392298e-05 loss: 0.0318 (0.0362) loss_seg: 0.0340 (0.0387) loss_lansim: 0.0729 (0.0778) loss_contra: 0.0000 (0.0013) time: 2.4424 data: 0.0025 max mem: 31671 Epoch: [32] [2950/5278] eta: 1:35:13 lr: 1.100470068296716e-05 loss: 0.0318 (0.0361) loss_seg: 0.0339 (0.0387) loss_lansim: 0.0733 (0.0778) loss_contra: 0.0000 (0.0013) time: 2.4375 data: 0.0025 max mem: 31671 Epoch: [32] [2960/5278] eta: 1:34:48 lr: 1.1002178757796913e-05 loss: 0.0324 (0.0361) loss_seg: 0.0354 (0.0387) loss_lansim: 0.0733 (0.0778) loss_contra: 0.0000 (0.0013) time: 2.4429 data: 0.0025 max mem: 31671 Epoch: [32] [2970/5278] eta: 1:34:24 lr: 1.0999656768394253e-05 loss: 0.0327 (0.0361) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0728 (0.0778) loss_contra: 0.0000 (0.0013) time: 2.4395 data: 0.0025 max mem: 31671 Epoch: [32] [2980/5278] eta: 1:33:59 lr: 1.0997134714741183e-05 loss: 0.0329 (0.0361) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0729 (0.0778) loss_contra: 0.0000 (0.0013) time: 2.4260 data: 0.0025 max mem: 31671 Epoch: [32] [2990/5278] eta: 1:33:34 lr: 1.0994612596819683e-05 loss: 0.0324 (0.0361) loss_seg: 0.0340 (0.0387) loss_lansim: 0.0734 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4228 data: 0.0025 max mem: 31671 Epoch: [32] [3000/5278] eta: 1:33:10 lr: 1.0992090414611737e-05 loss: 0.0324 (0.0361) loss_seg: 0.0345 (0.0386) loss_lansim: 0.0733 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4324 data: 0.0025 max mem: 31671 Epoch: [32] [3010/5278] eta: 1:32:46 lr: 1.0989568168099316e-05 loss: 0.0318 (0.0361) loss_seg: 0.0339 (0.0386) loss_lansim: 0.0741 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4403 data: 0.0025 max mem: 31671 Epoch: [32] [3020/5278] eta: 1:32:21 lr: 1.098704585726439e-05 loss: 0.0320 (0.0361) loss_seg: 0.0336 (0.0386) loss_lansim: 0.0752 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4451 data: 0.0025 max mem: 31671 Epoch: [32] [3030/5278] eta: 1:31:57 lr: 1.0984523482088896e-05 loss: 0.0318 (0.0361) loss_seg: 0.0336 (0.0386) loss_lansim: 0.0759 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4543 data: 0.0025 max mem: 31671 Epoch: [32] [3040/5278] eta: 1:31:32 lr: 1.0982001042554781e-05 loss: 0.0318 (0.0361) loss_seg: 0.0336 (0.0386) loss_lansim: 0.0759 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4594 data: 0.0024 max mem: 31671 Epoch: [32] [3050/5278] eta: 1:31:08 lr: 1.097947853864398e-05 loss: 0.0315 (0.0363) loss_seg: 0.0336 (0.0388) loss_lansim: 0.0759 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4631 data: 0.0024 max mem: 31671 Epoch: [32] [3060/5278] eta: 1:30:43 lr: 1.0976955970338417e-05 loss: 0.0318 (0.0363) loss_seg: 0.0336 (0.0389) loss_lansim: 0.0760 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4559 data: 0.0024 max mem: 31671 Epoch: [32] [3070/5278] eta: 1:30:19 lr: 1.0974433337619999e-05 loss: 0.0307 (0.0363) loss_seg: 0.0331 (0.0389) loss_lansim: 0.0754 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4670 data: 0.0024 max mem: 31671 Epoch: [32] [3080/5278] eta: 1:29:54 lr: 1.097191064047063e-05 loss: 0.0306 (0.0364) loss_seg: 0.0331 (0.0389) loss_lansim: 0.0754 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4675 data: 0.0023 max mem: 31671 Epoch: [32] [3090/5278] eta: 1:29:30 lr: 1.0969387878872204e-05 loss: 0.0310 (0.0364) loss_seg: 0.0336 (0.0389) loss_lansim: 0.0758 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4665 data: 0.0024 max mem: 31671 Epoch: [32] [3100/5278] eta: 1:29:05 lr: 1.0966865052806608e-05 loss: 0.0323 (0.0364) loss_seg: 0.0340 (0.0389) loss_lansim: 0.0772 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4572 data: 0.0024 max mem: 31671 Epoch: [32] [3110/5278] eta: 1:28:41 lr: 1.0964342162255716e-05 loss: 0.0318 (0.0363) loss_seg: 0.0336 (0.0389) loss_lansim: 0.0772 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4585 data: 0.0024 max mem: 31671 Epoch: [32] [3120/5278] eta: 1:28:16 lr: 1.0961819207201387e-05 loss: 0.0310 (0.0363) loss_seg: 0.0331 (0.0389) loss_lansim: 0.0763 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4547 data: 0.0023 max mem: 31671 Epoch: [32] [3130/5278] eta: 1:27:51 lr: 1.0959296187625476e-05 loss: 0.0321 (0.0363) loss_seg: 0.0340 (0.0389) loss_lansim: 0.0777 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4479 data: 0.0024 max mem: 31671 Epoch: [32] [3140/5278] eta: 1:27:26 lr: 1.0956773103509831e-05 loss: 0.0333 (0.0364) loss_seg: 0.0351 (0.0389) loss_lansim: 0.0768 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4477 data: 0.0024 max mem: 31671 Epoch: [32] [3150/5278] eta: 1:27:02 lr: 1.095424995483629e-05 loss: 0.0340 (0.0364) loss_seg: 0.0366 (0.0389) loss_lansim: 0.0767 (0.0777) loss_contra: 0.0001 (0.0013) time: 2.4481 data: 0.0024 max mem: 31671 Epoch: [32] [3160/5278] eta: 1:26:38 lr: 1.0951726741586668e-05 loss: 0.0326 (0.0364) loss_seg: 0.0340 (0.0389) loss_lansim: 0.0767 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4511 data: 0.0024 max mem: 31671 Epoch: [32] [3170/5278] eta: 1:26:13 lr: 1.0949203463742787e-05 loss: 0.0334 (0.0364) loss_seg: 0.0351 (0.0389) loss_lansim: 0.0767 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4355 data: 0.0024 max mem: 31671 Epoch: [32] [3180/5278] eta: 1:25:48 lr: 1.0946680121286451e-05 loss: 0.0333 (0.0364) loss_seg: 0.0345 (0.0389) loss_lansim: 0.0767 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4345 data: 0.0024 max mem: 31671 Epoch: [32] [3190/5278] eta: 1:25:23 lr: 1.0944156714199462e-05 loss: 0.0328 (0.0364) loss_seg: 0.0344 (0.0389) loss_lansim: 0.0768 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4344 data: 0.0024 max mem: 31671 Epoch: [32] [3200/5278] eta: 1:24:59 lr: 1.0941633242463595e-05 loss: 0.0312 (0.0363) loss_seg: 0.0331 (0.0389) loss_lansim: 0.0762 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4385 data: 0.0024 max mem: 31671 Epoch: [32] [3210/5278] eta: 1:24:34 lr: 1.0939109706060632e-05 loss: 0.0326 (0.0363) loss_seg: 0.0344 (0.0389) loss_lansim: 0.0757 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4405 data: 0.0023 max mem: 31671 Epoch: [32] [3220/5278] eta: 1:24:10 lr: 1.0936586104972339e-05 loss: 0.0332 (0.0363) loss_seg: 0.0345 (0.0389) loss_lansim: 0.0751 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4479 data: 0.0023 max mem: 31671 Epoch: [32] [3230/5278] eta: 1:23:46 lr: 1.0934062439180478e-05 loss: 0.0321 (0.0363) loss_seg: 0.0337 (0.0388) loss_lansim: 0.0742 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4602 data: 0.0023 max mem: 31671 Epoch: [32] [3240/5278] eta: 1:23:21 lr: 1.0931538708666786e-05 loss: 0.0312 (0.0363) loss_seg: 0.0332 (0.0388) loss_lansim: 0.0740 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4595 data: 0.0023 max mem: 31671 Epoch: [32] [3250/5278] eta: 1:22:57 lr: 1.0929014913413003e-05 loss: 0.0319 (0.0363) loss_seg: 0.0343 (0.0389) loss_lansim: 0.0739 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4584 data: 0.0023 max mem: 31671 Epoch: [32] [3260/5278] eta: 1:22:32 lr: 1.0926491053400858e-05 loss: 0.0325 (0.0363) loss_seg: 0.0345 (0.0389) loss_lansim: 0.0739 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4551 data: 0.0023 max mem: 31671 Epoch: [32] [3270/5278] eta: 1:22:08 lr: 1.0923967128612074e-05 loss: 0.0321 (0.0363) loss_seg: 0.0344 (0.0388) loss_lansim: 0.0735 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4653 data: 0.0022 max mem: 31671 Epoch: [32] [3280/5278] eta: 1:21:43 lr: 1.0921443139028347e-05 loss: 0.0319 (0.0363) loss_seg: 0.0343 (0.0389) loss_lansim: 0.0740 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4702 data: 0.0022 max mem: 31671 Epoch: [32] [3290/5278] eta: 1:21:19 lr: 1.0918919084631377e-05 loss: 0.0322 (0.0363) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0735 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4756 data: 0.0022 max mem: 31671 Epoch: [32] [3300/5278] eta: 1:20:54 lr: 1.0916394965402855e-05 loss: 0.0328 (0.0363) loss_seg: 0.0358 (0.0389) loss_lansim: 0.0738 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4734 data: 0.0023 max mem: 31671 Epoch: [32] [3310/5278] eta: 1:20:30 lr: 1.0913870781324467e-05 loss: 0.0327 (0.0363) loss_seg: 0.0357 (0.0389) loss_lansim: 0.0738 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4664 data: 0.0023 max mem: 31671 Epoch: [32] [3320/5278] eta: 1:20:05 lr: 1.0911346532377862e-05 loss: 0.0325 (0.0363) loss_seg: 0.0357 (0.0389) loss_lansim: 0.0738 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4579 data: 0.0023 max mem: 31671 Epoch: [32] [3330/5278] eta: 1:19:40 lr: 1.090882221854471e-05 loss: 0.0335 (0.0363) loss_seg: 0.0367 (0.0389) loss_lansim: 0.0745 (0.0777) loss_contra: 0.0000 (0.0013) time: 2.4512 data: 0.0023 max mem: 31671 Epoch: [32] [3340/5278] eta: 1:19:15 lr: 1.0906297839806658e-05 loss: 0.0338 (0.0363) loss_seg: 0.0367 (0.0389) loss_lansim: 0.0752 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4408 data: 0.0023 max mem: 31671 Epoch: [32] [3350/5278] eta: 1:18:50 lr: 1.0903773396145341e-05 loss: 0.0336 (0.0363) loss_seg: 0.0367 (0.0389) loss_lansim: 0.0758 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4352 data: 0.0024 max mem: 31671 Epoch: [32] [3360/5278] eta: 1:18:26 lr: 1.0901248887542396e-05 loss: 0.0335 (0.0363) loss_seg: 0.0367 (0.0389) loss_lansim: 0.0758 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4418 data: 0.0023 max mem: 31671 Epoch: [32] [3370/5278] eta: 1:18:02 lr: 1.0898724313979428e-05 loss: 0.0328 (0.0363) loss_seg: 0.0360 (0.0388) loss_lansim: 0.0758 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4415 data: 0.0024 max mem: 31671 Epoch: [32] [3380/5278] eta: 1:17:37 lr: 1.0896199675438055e-05 loss: 0.0322 (0.0363) loss_seg: 0.0353 (0.0389) loss_lansim: 0.0745 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4471 data: 0.0024 max mem: 31671 Epoch: [32] [3390/5278] eta: 1:17:13 lr: 1.089367497189987e-05 loss: 0.0319 (0.0363) loss_seg: 0.0350 (0.0389) loss_lansim: 0.0756 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4365 data: 0.0024 max mem: 31671 Epoch: [32] [3400/5278] eta: 1:16:48 lr: 1.089115020334647e-05 loss: 0.0309 (0.0363) loss_seg: 0.0337 (0.0388) loss_lansim: 0.0752 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4319 data: 0.0024 max mem: 31671 Epoch: [32] [3410/5278] eta: 1:16:23 lr: 1.0888625369759422e-05 loss: 0.0308 (0.0363) loss_seg: 0.0323 (0.0388) loss_lansim: 0.0746 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4397 data: 0.0024 max mem: 31671 Epoch: [32] [3420/5278] eta: 1:15:59 lr: 1.0886100471120302e-05 loss: 0.0306 (0.0363) loss_seg: 0.0322 (0.0388) loss_lansim: 0.0759 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4456 data: 0.0024 max mem: 31671 Epoch: [32] [3430/5278] eta: 1:15:35 lr: 1.0883575507410664e-05 loss: 0.0308 (0.0363) loss_seg: 0.0333 (0.0388) loss_lansim: 0.0746 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4520 data: 0.0024 max mem: 31671 Epoch: [32] [3440/5278] eta: 1:15:10 lr: 1.0881050478612067e-05 loss: 0.0320 (0.0363) loss_seg: 0.0352 (0.0388) loss_lansim: 0.0746 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4516 data: 0.0024 max mem: 31671 Epoch: [32] [3450/5278] eta: 1:14:45 lr: 1.0878525384706035e-05 loss: 0.0310 (0.0363) loss_seg: 0.0337 (0.0388) loss_lansim: 0.0741 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4628 data: 0.0024 max mem: 31671 Epoch: [32] [3460/5278] eta: 1:14:21 lr: 1.0876000225674104e-05 loss: 0.0321 (0.0363) loss_seg: 0.0352 (0.0388) loss_lansim: 0.0747 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4622 data: 0.0024 max mem: 31671 Epoch: [32] [3470/5278] eta: 1:13:56 lr: 1.0873475001497793e-05 loss: 0.0326 (0.0363) loss_seg: 0.0356 (0.0388) loss_lansim: 0.0751 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4549 data: 0.0024 max mem: 31671 Epoch: [32] [3480/5278] eta: 1:13:32 lr: 1.0870949712158616e-05 loss: 0.0327 (0.0363) loss_seg: 0.0357 (0.0389) loss_lansim: 0.0759 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4552 data: 0.0024 max mem: 31671 Epoch: [32] [3490/5278] eta: 1:13:08 lr: 1.0868424357638057e-05 loss: 0.0326 (0.0363) loss_seg: 0.0356 (0.0389) loss_lansim: 0.0752 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4633 data: 0.0024 max mem: 31671 Epoch: [32] [3500/5278] eta: 1:12:43 lr: 1.0865898937917616e-05 loss: 0.0326 (0.0363) loss_seg: 0.0356 (0.0388) loss_lansim: 0.0751 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4597 data: 0.0024 max mem: 31671 Epoch: [32] [3510/5278] eta: 1:12:18 lr: 1.0863373452978766e-05 loss: 0.0328 (0.0363) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0747 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4553 data: 0.0024 max mem: 31671 Epoch: [32] [3520/5278] eta: 1:11:53 lr: 1.0860847902802984e-05 loss: 0.0339 (0.0363) loss_seg: 0.0360 (0.0388) loss_lansim: 0.0751 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4515 data: 0.0023 max mem: 31671 Epoch: [32] [3530/5278] eta: 1:11:29 lr: 1.0858322287371717e-05 loss: 0.0326 (0.0363) loss_seg: 0.0356 (0.0388) loss_lansim: 0.0743 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4427 data: 0.0023 max mem: 31671 Epoch: [32] [3540/5278] eta: 1:11:04 lr: 1.085579660666642e-05 loss: 0.0302 (0.0363) loss_seg: 0.0330 (0.0388) loss_lansim: 0.0747 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4525 data: 0.0023 max mem: 31671 Epoch: [32] [3550/5278] eta: 1:10:39 lr: 1.0853270860668527e-05 loss: 0.0302 (0.0363) loss_seg: 0.0323 (0.0388) loss_lansim: 0.0747 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4395 data: 0.0023 max mem: 31671 Epoch: [32] [3560/5278] eta: 1:10:15 lr: 1.0850745049359475e-05 loss: 0.0286 (0.0363) loss_seg: 0.0311 (0.0388) loss_lansim: 0.0745 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4364 data: 0.0023 max mem: 31671 Epoch: [32] [3570/5278] eta: 1:09:50 lr: 1.0848219172720673e-05 loss: 0.0293 (0.0363) loss_seg: 0.0313 (0.0388) loss_lansim: 0.0752 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4280 data: 0.0023 max mem: 31671 Epoch: [32] [3580/5278] eta: 1:09:25 lr: 1.084569323073353e-05 loss: 0.0296 (0.0363) loss_seg: 0.0319 (0.0388) loss_lansim: 0.0759 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4303 data: 0.0023 max mem: 31671 Epoch: [32] [3590/5278] eta: 1:09:01 lr: 1.0843167223379447e-05 loss: 0.0296 (0.0362) loss_seg: 0.0319 (0.0388) loss_lansim: 0.0759 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4232 data: 0.0023 max mem: 31671 Epoch: [32] [3600/5278] eta: 1:08:36 lr: 1.084064115063981e-05 loss: 0.0296 (0.0362) loss_seg: 0.0319 (0.0388) loss_lansim: 0.0766 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4360 data: 0.0023 max mem: 31671 Epoch: [32] [3610/5278] eta: 1:08:12 lr: 1.0838115012496002e-05 loss: 0.0297 (0.0362) loss_seg: 0.0319 (0.0388) loss_lansim: 0.0765 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4353 data: 0.0023 max mem: 31671 Epoch: [32] [3620/5278] eta: 1:07:47 lr: 1.0835588808929384e-05 loss: 0.0319 (0.0362) loss_seg: 0.0322 (0.0388) loss_lansim: 0.0759 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4406 data: 0.0023 max mem: 31671 Epoch: [32] [3630/5278] eta: 1:07:23 lr: 1.0833062539921312e-05 loss: 0.0299 (0.0362) loss_seg: 0.0322 (0.0387) loss_lansim: 0.0767 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4370 data: 0.0023 max mem: 31671 Epoch: [32] [3640/5278] eta: 1:06:58 lr: 1.0830536205453138e-05 loss: 0.0320 (0.0362) loss_seg: 0.0328 (0.0387) loss_lansim: 0.0764 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4464 data: 0.0023 max mem: 31671 Epoch: [32] [3650/5278] eta: 1:06:34 lr: 1.0828009805506205e-05 loss: 0.0334 (0.0362) loss_seg: 0.0358 (0.0388) loss_lansim: 0.0759 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4466 data: 0.0023 max mem: 31671 Epoch: [32] [3660/5278] eta: 1:06:09 lr: 1.0825483340061824e-05 loss: 0.0352 (0.0362) loss_seg: 0.0365 (0.0388) loss_lansim: 0.0766 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4426 data: 0.0023 max mem: 31671 Epoch: [32] [3670/5278] eta: 1:05:44 lr: 1.0822956809101322e-05 loss: 0.0345 (0.0362) loss_seg: 0.0365 (0.0388) loss_lansim: 0.0764 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4548 data: 0.0024 max mem: 31671 Epoch: [32] [3680/5278] eta: 1:05:20 lr: 1.0820430212606004e-05 loss: 0.0345 (0.0362) loss_seg: 0.0364 (0.0388) loss_lansim: 0.0756 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4492 data: 0.0024 max mem: 31671 Epoch: [32] [3690/5278] eta: 1:04:56 lr: 1.0817903550557174e-05 loss: 0.0353 (0.0362) loss_seg: 0.0371 (0.0388) loss_lansim: 0.0759 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4559 data: 0.0024 max mem: 31671 Epoch: [32] [3700/5278] eta: 1:04:31 lr: 1.0815376822936103e-05 loss: 0.0350 (0.0362) loss_seg: 0.0368 (0.0388) loss_lansim: 0.0756 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4538 data: 0.0024 max mem: 31671 Epoch: [32] [3710/5278] eta: 1:04:06 lr: 1.0812850029724074e-05 loss: 0.0348 (0.0362) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0755 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4536 data: 0.0024 max mem: 31671 Epoch: [32] [3720/5278] eta: 1:03:42 lr: 1.0810323170902355e-05 loss: 0.0335 (0.0362) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0755 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4577 data: 0.0024 max mem: 31671 Epoch: [32] [3730/5278] eta: 1:03:17 lr: 1.0807796246452206e-05 loss: 0.0338 (0.0362) loss_seg: 0.0361 (0.0387) loss_lansim: 0.0754 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4550 data: 0.0024 max mem: 31671 Epoch: [32] [3740/5278] eta: 1:02:53 lr: 1.080526925635486e-05 loss: 0.0334 (0.0362) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0754 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4509 data: 0.0024 max mem: 31671 Epoch: [32] [3750/5278] eta: 1:02:29 lr: 1.080274220059156e-05 loss: 0.0329 (0.0362) loss_seg: 0.0350 (0.0387) loss_lansim: 0.0757 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4616 data: 0.0023 max mem: 31671 Epoch: [32] [3760/5278] eta: 1:02:04 lr: 1.0800215079143528e-05 loss: 0.0321 (0.0361) loss_seg: 0.0340 (0.0387) loss_lansim: 0.0754 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4659 data: 0.0023 max mem: 31671 Epoch: [32] [3770/5278] eta: 1:01:40 lr: 1.0797687891991987e-05 loss: 0.0312 (0.0361) loss_seg: 0.0333 (0.0386) loss_lansim: 0.0754 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4679 data: 0.0023 max mem: 31671 Epoch: [32] [3780/5278] eta: 1:01:15 lr: 1.0795160639118126e-05 loss: 0.0310 (0.0361) loss_seg: 0.0333 (0.0387) loss_lansim: 0.0763 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4636 data: 0.0023 max mem: 31671 Epoch: [32] [3790/5278] eta: 1:00:51 lr: 1.0792633320503152e-05 loss: 0.0306 (0.0361) loss_seg: 0.0323 (0.0386) loss_lansim: 0.0766 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4626 data: 0.0023 max mem: 31671 Epoch: [32] [3800/5278] eta: 1:00:26 lr: 1.079010593612824e-05 loss: 0.0283 (0.0361) loss_seg: 0.0307 (0.0386) loss_lansim: 0.0767 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4612 data: 0.0023 max mem: 31671 Epoch: [32] [3810/5278] eta: 1:00:02 lr: 1.0787578485974577e-05 loss: 0.0286 (0.0361) loss_seg: 0.0310 (0.0386) loss_lansim: 0.0771 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4669 data: 0.0023 max mem: 31671 Epoch: [32] [3820/5278] eta: 0:59:37 lr: 1.0785050970023311e-05 loss: 0.0307 (0.0361) loss_seg: 0.0327 (0.0386) loss_lansim: 0.0772 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4580 data: 0.0023 max mem: 31671 Epoch: [32] [3830/5278] eta: 0:59:12 lr: 1.0782523388255602e-05 loss: 0.0307 (0.0361) loss_seg: 0.0329 (0.0386) loss_lansim: 0.0772 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4616 data: 0.0023 max mem: 31671 Epoch: [32] [3840/5278] eta: 0:58:48 lr: 1.077999574065259e-05 loss: 0.0307 (0.0361) loss_seg: 0.0333 (0.0386) loss_lansim: 0.0771 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4507 data: 0.0023 max mem: 31671 Epoch: [32] [3850/5278] eta: 0:58:23 lr: 1.077746802719541e-05 loss: 0.0310 (0.0361) loss_seg: 0.0333 (0.0386) loss_lansim: 0.0766 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4454 data: 0.0023 max mem: 31671 Epoch: [32] [3860/5278] eta: 0:57:58 lr: 1.0774940247865188e-05 loss: 0.0324 (0.0361) loss_seg: 0.0343 (0.0386) loss_lansim: 0.0767 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4457 data: 0.0023 max mem: 31671 Epoch: [32] [3870/5278] eta: 0:57:34 lr: 1.0772412402643027e-05 loss: 0.0324 (0.0361) loss_seg: 0.0341 (0.0386) loss_lansim: 0.0771 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4403 data: 0.0023 max mem: 31671 Epoch: [32] [3880/5278] eta: 0:57:09 lr: 1.076988449151003e-05 loss: 0.0334 (0.0361) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0773 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [32] [3890/5278] eta: 0:56:45 lr: 1.0767356514447293e-05 loss: 0.0336 (0.0361) loss_seg: 0.0360 (0.0387) loss_lansim: 0.0773 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4396 data: 0.0022 max mem: 31671 Epoch: [32] [3900/5278] eta: 0:56:20 lr: 1.0764828471435898e-05 loss: 0.0336 (0.0361) loss_seg: 0.0360 (0.0386) loss_lansim: 0.0773 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4479 data: 0.0023 max mem: 31671 Epoch: [32] [3910/5278] eta: 0:55:56 lr: 1.0762300362456906e-05 loss: 0.0336 (0.0361) loss_seg: 0.0360 (0.0386) loss_lansim: 0.0774 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4462 data: 0.0023 max mem: 31671 Epoch: [32] [3920/5278] eta: 0:55:31 lr: 1.0759772187491381e-05 loss: 0.0342 (0.0361) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0771 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4474 data: 0.0023 max mem: 31671 Epoch: [32] [3930/5278] eta: 0:55:07 lr: 1.0757243946520374e-05 loss: 0.0342 (0.0361) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0778 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4491 data: 0.0023 max mem: 31671 Epoch: [32] [3940/5278] eta: 0:54:42 lr: 1.0754715639524929e-05 loss: 0.0344 (0.0361) loss_seg: 0.0375 (0.0387) loss_lansim: 0.0766 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4544 data: 0.0023 max mem: 31671 Epoch: [32] [3950/5278] eta: 0:54:18 lr: 1.0752187266486063e-05 loss: 0.0342 (0.0362) loss_seg: 0.0368 (0.0387) loss_lansim: 0.0770 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4562 data: 0.0023 max mem: 31671 Epoch: [32] [3960/5278] eta: 0:53:53 lr: 1.0749658827384802e-05 loss: 0.0342 (0.0362) loss_seg: 0.0361 (0.0387) loss_lansim: 0.0774 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4639 data: 0.0023 max mem: 31671 Epoch: [32] [3970/5278] eta: 0:53:29 lr: 1.0747130322202153e-05 loss: 0.0342 (0.0362) loss_seg: 0.0375 (0.0387) loss_lansim: 0.0774 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4709 data: 0.0023 max mem: 31671 Epoch: [32] [3980/5278] eta: 0:53:04 lr: 1.0744601750919116e-05 loss: 0.0336 (0.0362) loss_seg: 0.0351 (0.0387) loss_lansim: 0.0774 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4654 data: 0.0023 max mem: 31671 Epoch: [32] [3990/5278] eta: 0:52:40 lr: 1.074207311351667e-05 loss: 0.0342 (0.0362) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0774 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4687 data: 0.0023 max mem: 31671 Epoch: [32] [4000/5278] eta: 0:52:15 lr: 1.0739544409975796e-05 loss: 0.0344 (0.0362) loss_seg: 0.0362 (0.0387) loss_lansim: 0.0774 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4622 data: 0.0023 max mem: 31671 Epoch: [32] [4010/5278] eta: 0:54:38 lr: 1.0737015640277462e-05 loss: 0.0331 (0.0362) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0773 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7329 data: 0.0027 max mem: 31671 Epoch: [32] [4020/5278] eta: 0:54:11 lr: 1.0734486804402626e-05 loss: 0.0324 (0.0362) loss_seg: 0.0350 (0.0387) loss_lansim: 0.0773 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7370 data: 0.0027 max mem: 31671 Epoch: [32] [4030/5278] eta: 0:53:45 lr: 1.0731957902332226e-05 loss: 0.0327 (0.0362) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0756 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7363 data: 0.0027 max mem: 31671 Epoch: [32] [4040/5278] eta: 0:53:19 lr: 1.07294289340472e-05 loss: 0.0351 (0.0362) loss_seg: 0.0355 (0.0388) loss_lansim: 0.0770 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7322 data: 0.0027 max mem: 31671 Epoch: [32] [4050/5278] eta: 0:52:52 lr: 1.072689989952847e-05 loss: 0.0351 (0.0362) loss_seg: 0.0355 (0.0388) loss_lansim: 0.0783 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7334 data: 0.0027 max mem: 31671 Epoch: [32] [4060/5278] eta: 0:52:26 lr: 1.072437079875696e-05 loss: 0.0331 (0.0362) loss_seg: 0.0352 (0.0388) loss_lansim: 0.0771 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7168 data: 0.0027 max mem: 31671 Epoch: [32] [4070/5278] eta: 0:51:59 lr: 1.0721841631713559e-05 loss: 0.0331 (0.0362) loss_seg: 0.0353 (0.0388) loss_lansim: 0.0770 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7000 data: 0.0027 max mem: 31671 Epoch: [32] [4080/5278] eta: 0:51:33 lr: 1.0719312398379164e-05 loss: 0.0331 (0.0362) loss_seg: 0.0360 (0.0388) loss_lansim: 0.0770 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7047 data: 0.0027 max mem: 31671 Epoch: [32] [4090/5278] eta: 0:51:07 lr: 1.071678309873466e-05 loss: 0.0324 (0.0362) loss_seg: 0.0350 (0.0387) loss_lansim: 0.0769 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.7004 data: 0.0027 max mem: 31671 Epoch: [32] [4100/5278] eta: 0:50:40 lr: 1.071425373276092e-05 loss: 0.0327 (0.0362) loss_seg: 0.0350 (0.0388) loss_lansim: 0.0757 (0.0776) loss_contra: 0.0000 (0.0013) time: 7.6905 data: 0.0027 max mem: 31671 Epoch: [32] [4110/5278] eta: 0:50:14 lr: 1.0711724300438807e-05 loss: 0.0338 (0.0362) loss_seg: 0.0360 (0.0388) loss_lansim: 0.0767 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4223 data: 0.0023 max mem: 31671 Epoch: [32] [4120/5278] eta: 0:49:48 lr: 1.0709194801749163e-05 loss: 0.0338 (0.0362) loss_seg: 0.0360 (0.0388) loss_lansim: 0.0757 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4147 data: 0.0023 max mem: 31671 Epoch: [32] [4130/5278] eta: 0:49:22 lr: 1.070666523667283e-05 loss: 0.0323 (0.0362) loss_seg: 0.0348 (0.0388) loss_lansim: 0.0754 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4133 data: 0.0023 max mem: 31671 Epoch: [32] [4140/5278] eta: 0:48:56 lr: 1.070413560519064e-05 loss: 0.0319 (0.0362) loss_seg: 0.0346 (0.0388) loss_lansim: 0.0757 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4205 data: 0.0023 max mem: 31671 Epoch: [32] [4150/5278] eta: 0:48:30 lr: 1.070160590728342e-05 loss: 0.0319 (0.0362) loss_seg: 0.0345 (0.0388) loss_lansim: 0.0747 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4163 data: 0.0023 max mem: 31671 Epoch: [32] [4160/5278] eta: 0:48:03 lr: 1.0699076142931965e-05 loss: 0.0332 (0.0363) loss_seg: 0.0355 (0.0388) loss_lansim: 0.0739 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4260 data: 0.0023 max mem: 31671 Epoch: [32] [4170/5278] eta: 0:47:37 lr: 1.0696546312117076e-05 loss: 0.0323 (0.0363) loss_seg: 0.0348 (0.0388) loss_lansim: 0.0735 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4356 data: 0.0022 max mem: 31671 Epoch: [32] [4180/5278] eta: 0:47:11 lr: 1.0694016414819543e-05 loss: 0.0332 (0.0363) loss_seg: 0.0355 (0.0388) loss_lansim: 0.0730 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4362 data: 0.0022 max mem: 31671 Epoch: [32] [4190/5278] eta: 0:46:45 lr: 1.0691486451020146e-05 loss: 0.0341 (0.0363) loss_seg: 0.0365 (0.0388) loss_lansim: 0.0734 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4316 data: 0.0022 max mem: 31671 Epoch: [32] [4200/5278] eta: 0:46:19 lr: 1.0688956420699642e-05 loss: 0.0332 (0.0363) loss_seg: 0.0355 (0.0388) loss_lansim: 0.0739 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4396 data: 0.0022 max mem: 31671 Epoch: [32] [4210/5278] eta: 0:45:53 lr: 1.0686426323838791e-05 loss: 0.0330 (0.0363) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0739 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4366 data: 0.0023 max mem: 31671 Epoch: [32] [4220/5278] eta: 0:45:27 lr: 1.0683896160418337e-05 loss: 0.0335 (0.0363) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0739 (0.0776) loss_contra: 0.0000 (0.0013) time: 2.4481 data: 0.0023 max mem: 31671 Epoch: [32] [4230/5278] eta: 0:45:01 lr: 1.0681365930419021e-05 loss: 0.0335 (0.0363) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0739 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4515 data: 0.0023 max mem: 31671 Epoch: [32] [4240/5278] eta: 0:44:34 lr: 1.0678835633821553e-05 loss: 0.0340 (0.0363) loss_seg: 0.0359 (0.0388) loss_lansim: 0.0744 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4447 data: 0.0023 max mem: 31671 Epoch: [32] [4250/5278] eta: 0:44:08 lr: 1.0676305270606652e-05 loss: 0.0334 (0.0363) loss_seg: 0.0359 (0.0388) loss_lansim: 0.0744 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4422 data: 0.0024 max mem: 31671 Epoch: [32] [4260/5278] eta: 0:43:42 lr: 1.0673774840755024e-05 loss: 0.0330 (0.0363) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0753 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4452 data: 0.0024 max mem: 31671 Epoch: [32] [4270/5278] eta: 0:43:16 lr: 1.067124434424736e-05 loss: 0.0330 (0.0363) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0753 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4417 data: 0.0024 max mem: 31671 Epoch: [32] [4280/5278] eta: 0:42:50 lr: 1.0668713781064331e-05 loss: 0.0329 (0.0362) loss_seg: 0.0349 (0.0388) loss_lansim: 0.0749 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4393 data: 0.0023 max mem: 31671 Epoch: [32] [4290/5278] eta: 0:42:24 lr: 1.0666183151186616e-05 loss: 0.0330 (0.0363) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0744 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4484 data: 0.0023 max mem: 31671 Epoch: [32] [4300/5278] eta: 0:41:58 lr: 1.066365245459487e-05 loss: 0.0330 (0.0362) loss_seg: 0.0349 (0.0388) loss_lansim: 0.0740 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4489 data: 0.0023 max mem: 31671 Epoch: [32] [4310/5278] eta: 0:41:32 lr: 1.066112169126975e-05 loss: 0.0330 (0.0362) loss_seg: 0.0349 (0.0388) loss_lansim: 0.0743 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4373 data: 0.0023 max mem: 31671 Epoch: [32] [4320/5278] eta: 0:41:05 lr: 1.065859086119188e-05 loss: 0.0327 (0.0362) loss_seg: 0.0345 (0.0388) loss_lansim: 0.0744 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4249 data: 0.0023 max mem: 31671 Epoch: [32] [4330/5278] eta: 0:40:39 lr: 1.0656059964341897e-05 loss: 0.0322 (0.0362) loss_seg: 0.0345 (0.0388) loss_lansim: 0.0744 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4239 data: 0.0023 max mem: 31671 Epoch: [32] [4340/5278] eta: 0:40:13 lr: 1.0653529000700415e-05 loss: 0.0327 (0.0362) loss_seg: 0.0344 (0.0388) loss_lansim: 0.0744 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4289 data: 0.0023 max mem: 31671 Epoch: [32] [4350/5278] eta: 0:39:48 lr: 1.0650997970248037e-05 loss: 0.0327 (0.0362) loss_seg: 0.0347 (0.0388) loss_lansim: 0.0745 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4367 data: 0.0023 max mem: 31671 Epoch: [32] [4360/5278] eta: 0:39:22 lr: 1.0648466872965368e-05 loss: 0.0316 (0.0362) loss_seg: 0.0330 (0.0388) loss_lansim: 0.0737 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4353 data: 0.0023 max mem: 31671 Epoch: [32] [4370/5278] eta: 0:38:56 lr: 1.0645935708832978e-05 loss: 0.0316 (0.0363) loss_seg: 0.0343 (0.0388) loss_lansim: 0.0737 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4359 data: 0.0023 max mem: 31671 Epoch: [32] [4380/5278] eta: 0:38:30 lr: 1.0643404477831448e-05 loss: 0.0316 (0.0363) loss_seg: 0.0346 (0.0388) loss_lansim: 0.0745 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4448 data: 0.0023 max mem: 31671 Epoch: [32] [4390/5278] eta: 0:38:04 lr: 1.0640873179941338e-05 loss: 0.0309 (0.0364) loss_seg: 0.0331 (0.0389) loss_lansim: 0.0742 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4429 data: 0.0024 max mem: 31671 Epoch: [32] [4400/5278] eta: 0:37:38 lr: 1.0638341815143209e-05 loss: 0.0313 (0.0364) loss_seg: 0.0340 (0.0389) loss_lansim: 0.0761 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4343 data: 0.0024 max mem: 31671 Epoch: [32] [4410/5278] eta: 0:37:12 lr: 1.0635810383417586e-05 loss: 0.0320 (0.0364) loss_seg: 0.0347 (0.0389) loss_lansim: 0.0762 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4390 data: 0.0023 max mem: 31671 Epoch: [32] [4420/5278] eta: 0:36:46 lr: 1.0633278884745009e-05 loss: 0.0316 (0.0364) loss_seg: 0.0346 (0.0389) loss_lansim: 0.0758 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [32] [4430/5278] eta: 0:36:20 lr: 1.0630747319105997e-05 loss: 0.0327 (0.0364) loss_seg: 0.0357 (0.0389) loss_lansim: 0.0762 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [32] [4440/5278] eta: 0:35:54 lr: 1.0628215686481061e-05 loss: 0.0328 (0.0364) loss_seg: 0.0357 (0.0389) loss_lansim: 0.0766 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4438 data: 0.0023 max mem: 31671 Epoch: [32] [4450/5278] eta: 0:35:28 lr: 1.062568398685069e-05 loss: 0.0327 (0.0364) loss_seg: 0.0352 (0.0389) loss_lansim: 0.0762 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4397 data: 0.0023 max mem: 31671 Epoch: [32] [4460/5278] eta: 0:35:02 lr: 1.0623152220195377e-05 loss: 0.0330 (0.0364) loss_seg: 0.0359 (0.0389) loss_lansim: 0.0766 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4340 data: 0.0023 max mem: 31671 Epoch: [32] [4470/5278] eta: 0:34:36 lr: 1.0620620386495595e-05 loss: 0.0330 (0.0364) loss_seg: 0.0359 (0.0390) loss_lansim: 0.0762 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4379 data: 0.0024 max mem: 31671 Epoch: [32] [4480/5278] eta: 0:34:10 lr: 1.0618088485731817e-05 loss: 0.0327 (0.0364) loss_seg: 0.0357 (0.0389) loss_lansim: 0.0765 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4273 data: 0.0024 max mem: 31671 Epoch: [32] [4490/5278] eta: 0:33:44 lr: 1.0615556517884489e-05 loss: 0.0339 (0.0364) loss_seg: 0.0364 (0.0389) loss_lansim: 0.0769 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4240 data: 0.0023 max mem: 31671 Epoch: [32] [4500/5278] eta: 0:33:18 lr: 1.0613024482934053e-05 loss: 0.0340 (0.0364) loss_seg: 0.0364 (0.0389) loss_lansim: 0.0765 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4323 data: 0.0023 max mem: 31671 Epoch: [32] [4510/5278] eta: 0:32:52 lr: 1.0610492380860947e-05 loss: 0.0339 (0.0364) loss_seg: 0.0358 (0.0389) loss_lansim: 0.0765 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4276 data: 0.0023 max mem: 31671 Epoch: [32] [4520/5278] eta: 0:32:26 lr: 1.0607960211645596e-05 loss: 0.0347 (0.0364) loss_seg: 0.0360 (0.0389) loss_lansim: 0.0762 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4294 data: 0.0024 max mem: 31671 Epoch: [32] [4530/5278] eta: 0:32:00 lr: 1.06054279752684e-05 loss: 0.0339 (0.0364) loss_seg: 0.0358 (0.0389) loss_lansim: 0.0762 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4153 data: 0.0024 max mem: 31671 Epoch: [32] [4540/5278] eta: 0:31:34 lr: 1.0602895671709766e-05 loss: 0.0332 (0.0364) loss_seg: 0.0352 (0.0389) loss_lansim: 0.0737 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4139 data: 0.0024 max mem: 31671 Epoch: [32] [4550/5278] eta: 0:31:08 lr: 1.060036330095008e-05 loss: 0.0347 (0.0364) loss_seg: 0.0358 (0.0390) loss_lansim: 0.0737 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4121 data: 0.0024 max mem: 31671 Epoch: [32] [4560/5278] eta: 0:30:42 lr: 1.0597830862969727e-05 loss: 0.0332 (0.0364) loss_seg: 0.0354 (0.0389) loss_lansim: 0.0728 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4148 data: 0.0024 max mem: 31671 Epoch: [32] [4570/5278] eta: 0:30:17 lr: 1.0595298357749062e-05 loss: 0.0330 (0.0364) loss_seg: 0.0354 (0.0389) loss_lansim: 0.0737 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4213 data: 0.0023 max mem: 31671 Epoch: [32] [4580/5278] eta: 0:29:51 lr: 1.0592765785268449e-05 loss: 0.0339 (0.0364) loss_seg: 0.0358 (0.0389) loss_lansim: 0.0737 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4278 data: 0.0024 max mem: 31671 Epoch: [32] [4590/5278] eta: 0:29:25 lr: 1.0590233145508232e-05 loss: 0.0340 (0.0364) loss_seg: 0.0358 (0.0389) loss_lansim: 0.0726 (0.0775) loss_contra: 0.0000 (0.0013) time: 2.4185 data: 0.0023 max mem: 31671 Epoch: [32] [4600/5278] eta: 0:28:59 lr: 1.0587700438448743e-05 loss: 0.0322 (0.0364) loss_seg: 0.0339 (0.0389) loss_lansim: 0.0734 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4169 data: 0.0023 max mem: 31671 Epoch: [32] [4610/5278] eta: 0:28:33 lr: 1.0585167664070313e-05 loss: 0.0321 (0.0364) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0735 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4289 data: 0.0023 max mem: 31671 Epoch: [32] [4620/5278] eta: 0:28:07 lr: 1.0582634822353242e-05 loss: 0.0321 (0.0364) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0734 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4261 data: 0.0023 max mem: 31671 Epoch: [32] [4630/5278] eta: 0:27:41 lr: 1.0580101913277837e-05 loss: 0.0322 (0.0364) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0735 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4373 data: 0.0023 max mem: 31671 Epoch: [32] [4640/5278] eta: 0:27:15 lr: 1.0577568936824389e-05 loss: 0.0319 (0.0364) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0741 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4259 data: 0.0023 max mem: 31671 Epoch: [32] [4650/5278] eta: 0:26:50 lr: 1.0575035892973182e-05 loss: 0.0319 (0.0364) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0746 (0.0774) loss_contra: 0.0000 (0.0014) time: 2.4245 data: 0.0023 max mem: 31671 Epoch: [32] [4660/5278] eta: 0:26:24 lr: 1.0572502781704474e-05 loss: 0.0322 (0.0364) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0750 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4211 data: 0.0023 max mem: 31671 Epoch: [32] [4670/5278] eta: 0:25:58 lr: 1.0569969602998526e-05 loss: 0.0319 (0.0364) loss_seg: 0.0348 (0.0389) loss_lansim: 0.0753 (0.0774) loss_contra: 0.0000 (0.0014) time: 2.4166 data: 0.0023 max mem: 31671 Epoch: [32] [4680/5278] eta: 0:25:32 lr: 1.0567436356835584e-05 loss: 0.0332 (0.0364) loss_seg: 0.0361 (0.0389) loss_lansim: 0.0753 (0.0774) loss_contra: 0.0000 (0.0014) time: 2.4117 data: 0.0023 max mem: 31671 Epoch: [32] [4690/5278] eta: 0:25:06 lr: 1.056490304319589e-05 loss: 0.0329 (0.0364) loss_seg: 0.0354 (0.0389) loss_lansim: 0.0755 (0.0774) loss_contra: 0.0000 (0.0014) time: 2.4295 data: 0.0023 max mem: 31671 Epoch: [32] [4700/5278] eta: 0:24:41 lr: 1.0562369662059655e-05 loss: 0.0327 (0.0364) loss_seg: 0.0354 (0.0389) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0014) time: 2.4258 data: 0.0023 max mem: 31671 Epoch: [32] [4710/5278] eta: 0:24:15 lr: 1.0559836213407102e-05 loss: 0.0322 (0.0364) loss_seg: 0.0353 (0.0389) loss_lansim: 0.0757 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4322 data: 0.0023 max mem: 31671 Epoch: [32] [4720/5278] eta: 0:23:49 lr: 1.0557302697218425e-05 loss: 0.0318 (0.0363) loss_seg: 0.0347 (0.0389) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4383 data: 0.0023 max mem: 31671 Epoch: [32] [4730/5278] eta: 0:23:24 lr: 1.0554769113473829e-05 loss: 0.0316 (0.0363) loss_seg: 0.0345 (0.0389) loss_lansim: 0.0766 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4440 data: 0.0023 max mem: 31671 Epoch: [32] [4740/5278] eta: 0:22:58 lr: 1.0552235462153476e-05 loss: 0.0315 (0.0363) loss_seg: 0.0338 (0.0388) loss_lansim: 0.0766 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4533 data: 0.0023 max mem: 31671 Epoch: [32] [4750/5278] eta: 0:22:32 lr: 1.0549701743237541e-05 loss: 0.0313 (0.0363) loss_seg: 0.0331 (0.0389) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4533 data: 0.0023 max mem: 31671 Epoch: [32] [4760/5278] eta: 0:22:06 lr: 1.0547167956706185e-05 loss: 0.0308 (0.0363) loss_seg: 0.0322 (0.0389) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4529 data: 0.0023 max mem: 31671 Epoch: [32] [4770/5278] eta: 0:21:40 lr: 1.0544634102539558e-05 loss: 0.0308 (0.0363) loss_seg: 0.0322 (0.0389) loss_lansim: 0.0761 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4459 data: 0.0023 max mem: 31671 Epoch: [32] [4780/5278] eta: 0:21:15 lr: 1.0542100180717781e-05 loss: 0.0308 (0.0363) loss_seg: 0.0320 (0.0389) loss_lansim: 0.0757 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4556 data: 0.0023 max mem: 31671 Epoch: [32] [4790/5278] eta: 0:20:49 lr: 1.0539566191220988e-05 loss: 0.0308 (0.0363) loss_seg: 0.0318 (0.0388) loss_lansim: 0.0756 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4480 data: 0.0023 max mem: 31671 Epoch: [32] [4800/5278] eta: 0:20:23 lr: 1.053703213402929e-05 loss: 0.0308 (0.0363) loss_seg: 0.0320 (0.0389) loss_lansim: 0.0752 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4506 data: 0.0023 max mem: 31671 Epoch: [32] [4810/5278] eta: 0:19:58 lr: 1.0534498009122789e-05 loss: 0.0308 (0.0363) loss_seg: 0.0320 (0.0389) loss_lansim: 0.0750 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4420 data: 0.0023 max mem: 31671 Epoch: [32] [4820/5278] eta: 0:19:32 lr: 1.053196381648158e-05 loss: 0.0308 (0.0363) loss_seg: 0.0331 (0.0388) loss_lansim: 0.0751 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4445 data: 0.0023 max mem: 31671 Epoch: [32] [4830/5278] eta: 0:19:06 lr: 1.0529429556085733e-05 loss: 0.0307 (0.0363) loss_seg: 0.0320 (0.0388) loss_lansim: 0.0744 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4385 data: 0.0023 max mem: 31671 Epoch: [32] [4840/5278] eta: 0:18:40 lr: 1.0526895227915321e-05 loss: 0.0308 (0.0363) loss_seg: 0.0331 (0.0388) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4359 data: 0.0023 max mem: 31671 Epoch: [32] [4850/5278] eta: 0:18:15 lr: 1.05243608319504e-05 loss: 0.0307 (0.0362) loss_seg: 0.0320 (0.0388) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4398 data: 0.0023 max mem: 31671 Epoch: [32] [4860/5278] eta: 0:17:49 lr: 1.0521826368171023e-05 loss: 0.0302 (0.0362) loss_seg: 0.0317 (0.0388) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4405 data: 0.0023 max mem: 31671 Epoch: [32] [4870/5278] eta: 0:17:23 lr: 1.0519291836557211e-05 loss: 0.0307 (0.0362) loss_seg: 0.0320 (0.0388) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4454 data: 0.0023 max mem: 31671 Epoch: [32] [4880/5278] eta: 0:16:58 lr: 1.0516757237088996e-05 loss: 0.0302 (0.0363) loss_seg: 0.0315 (0.0388) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4317 data: 0.0023 max mem: 31671 Epoch: [32] [4890/5278] eta: 0:16:32 lr: 1.0514222569746389e-05 loss: 0.0302 (0.0363) loss_seg: 0.0319 (0.0388) loss_lansim: 0.0759 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4338 data: 0.0023 max mem: 31671 Epoch: [32] [4900/5278] eta: 0:16:06 lr: 1.0511687834509395e-05 loss: 0.0306 (0.0363) loss_seg: 0.0331 (0.0388) loss_lansim: 0.0761 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4388 data: 0.0023 max mem: 31671 Epoch: [32] [4910/5278] eta: 0:15:41 lr: 1.0509153031357994e-05 loss: 0.0302 (0.0363) loss_seg: 0.0319 (0.0388) loss_lansim: 0.0770 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4380 data: 0.0023 max mem: 31671 Epoch: [32] [4920/5278] eta: 0:15:15 lr: 1.0506618160272167e-05 loss: 0.0297 (0.0362) loss_seg: 0.0319 (0.0388) loss_lansim: 0.0786 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4387 data: 0.0023 max mem: 31671 Epoch: [32] [4930/5278] eta: 0:14:49 lr: 1.0504083221231887e-05 loss: 0.0306 (0.0363) loss_seg: 0.0334 (0.0388) loss_lansim: 0.0789 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4446 data: 0.0023 max mem: 31671 Epoch: [32] [4940/5278] eta: 0:14:24 lr: 1.050154821421711e-05 loss: 0.0311 (0.0363) loss_seg: 0.0335 (0.0388) loss_lansim: 0.0787 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4461 data: 0.0023 max mem: 31671 Epoch: [32] [4950/5278] eta: 0:13:58 lr: 1.049901313920777e-05 loss: 0.0311 (0.0362) loss_seg: 0.0335 (0.0388) loss_lansim: 0.0789 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4429 data: 0.0023 max mem: 31671 Epoch: [32] [4960/5278] eta: 0:13:32 lr: 1.0496477996183808e-05 loss: 0.0313 (0.0362) loss_seg: 0.0340 (0.0388) loss_lansim: 0.0786 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4483 data: 0.0023 max mem: 31671 Epoch: [32] [4970/5278] eta: 0:13:07 lr: 1.0493942785125145e-05 loss: 0.0311 (0.0362) loss_seg: 0.0334 (0.0388) loss_lansim: 0.0772 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4526 data: 0.0023 max mem: 31671 Epoch: [32] [4980/5278] eta: 0:12:41 lr: 1.0491407506011697e-05 loss: 0.0306 (0.0362) loss_seg: 0.0331 (0.0388) loss_lansim: 0.0769 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4654 data: 0.0023 max mem: 31671 Epoch: [32] [4990/5278] eta: 0:12:16 lr: 1.0488872158823352e-05 loss: 0.0305 (0.0362) loss_seg: 0.0326 (0.0388) loss_lansim: 0.0768 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4653 data: 0.0023 max mem: 31671 Epoch: [32] [5000/5278] eta: 0:11:50 lr: 1.0486336743540002e-05 loss: 0.0305 (0.0362) loss_seg: 0.0326 (0.0388) loss_lansim: 0.0761 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4591 data: 0.0023 max mem: 31671 Epoch: [32] [5010/5278] eta: 0:11:24 lr: 1.0483801260141527e-05 loss: 0.0305 (0.0362) loss_seg: 0.0325 (0.0388) loss_lansim: 0.0762 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4575 data: 0.0024 max mem: 31671 Epoch: [32] [5020/5278] eta: 0:10:59 lr: 1.0481265708607794e-05 loss: 0.0305 (0.0362) loss_seg: 0.0325 (0.0387) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4508 data: 0.0024 max mem: 31671 Epoch: [32] [5030/5278] eta: 0:10:33 lr: 1.0478730088918648e-05 loss: 0.0304 (0.0362) loss_seg: 0.0325 (0.0388) loss_lansim: 0.0753 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4474 data: 0.0023 max mem: 31671 Epoch: [32] [5040/5278] eta: 0:10:08 lr: 1.0476194401053936e-05 loss: 0.0299 (0.0362) loss_seg: 0.0321 (0.0387) loss_lansim: 0.0756 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4474 data: 0.0023 max mem: 31671 Epoch: [32] [5050/5278] eta: 0:09:42 lr: 1.0473658644993491e-05 loss: 0.0304 (0.0362) loss_seg: 0.0325 (0.0387) loss_lansim: 0.0753 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4488 data: 0.0023 max mem: 31671 Epoch: [32] [5060/5278] eta: 0:09:16 lr: 1.047112282071713e-05 loss: 0.0307 (0.0362) loss_seg: 0.0325 (0.0388) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4471 data: 0.0023 max mem: 31671 Epoch: [32] [5070/5278] eta: 0:08:51 lr: 1.0468586928204669e-05 loss: 0.0303 (0.0362) loss_seg: 0.0318 (0.0387) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4490 data: 0.0023 max mem: 31671 Epoch: [32] [5080/5278] eta: 0:08:25 lr: 1.0466050967435892e-05 loss: 0.0316 (0.0362) loss_seg: 0.0339 (0.0388) loss_lansim: 0.0757 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4434 data: 0.0023 max mem: 31671 Epoch: [32] [5090/5278] eta: 0:08:00 lr: 1.0463514938390591e-05 loss: 0.0315 (0.0362) loss_seg: 0.0332 (0.0388) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4377 data: 0.0023 max mem: 31671 Epoch: [32] [5100/5278] eta: 0:07:34 lr: 1.046097884104854e-05 loss: 0.0291 (0.0362) loss_seg: 0.0315 (0.0387) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4455 data: 0.0023 max mem: 31671 Epoch: [32] [5110/5278] eta: 0:07:08 lr: 1.0458442675389508e-05 loss: 0.0304 (0.0362) loss_seg: 0.0330 (0.0387) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4476 data: 0.0023 max mem: 31671 Epoch: [32] [5120/5278] eta: 0:06:43 lr: 1.045590644139323e-05 loss: 0.0329 (0.0362) loss_seg: 0.0344 (0.0388) loss_lansim: 0.0761 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4423 data: 0.0022 max mem: 31671 Epoch: [32] [5130/5278] eta: 0:06:17 lr: 1.0453370139039459e-05 loss: 0.0329 (0.0362) loss_seg: 0.0348 (0.0388) loss_lansim: 0.0761 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4408 data: 0.0022 max mem: 31671 Epoch: [32] [5140/5278] eta: 0:05:52 lr: 1.0450833768307918e-05 loss: 0.0337 (0.0362) loss_seg: 0.0362 (0.0388) loss_lansim: 0.0760 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4507 data: 0.0023 max mem: 31671 Epoch: [32] [5150/5278] eta: 0:05:26 lr: 1.044829732917833e-05 loss: 0.0334 (0.0362) loss_seg: 0.0348 (0.0388) loss_lansim: 0.0753 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4540 data: 0.0023 max mem: 31671 Epoch: [32] [5160/5278] eta: 0:05:01 lr: 1.044576082163039e-05 loss: 0.0334 (0.0363) loss_seg: 0.0348 (0.0388) loss_lansim: 0.0748 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4550 data: 0.0023 max mem: 31671 Epoch: [32] [5170/5278] eta: 0:04:35 lr: 1.0443224245643798e-05 loss: 0.0324 (0.0362) loss_seg: 0.0339 (0.0388) loss_lansim: 0.0749 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4556 data: 0.0023 max mem: 31671 Epoch: [32] [5180/5278] eta: 0:04:10 lr: 1.0440687601198234e-05 loss: 0.0324 (0.0363) loss_seg: 0.0334 (0.0388) loss_lansim: 0.0753 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4519 data: 0.0023 max mem: 31671 Epoch: [32] [5190/5278] eta: 0:03:44 lr: 1.0438150888273375e-05 loss: 0.0329 (0.0363) loss_seg: 0.0347 (0.0388) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4580 data: 0.0023 max mem: 31671 Epoch: [32] [5200/5278] eta: 0:03:19 lr: 1.043561410684887e-05 loss: 0.0337 (0.0363) loss_seg: 0.0369 (0.0388) loss_lansim: 0.0761 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4485 data: 0.0023 max mem: 31671 Epoch: [32] [5210/5278] eta: 0:02:53 lr: 1.0433077256904372e-05 loss: 0.0336 (0.0363) loss_seg: 0.0366 (0.0388) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4519 data: 0.0023 max mem: 31671 Epoch: [32] [5220/5278] eta: 0:02:27 lr: 1.0430540338419516e-05 loss: 0.0336 (0.0363) loss_seg: 0.0362 (0.0388) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4524 data: 0.0023 max mem: 31671 Epoch: [32] [5230/5278] eta: 0:02:02 lr: 1.0428003351373933e-05 loss: 0.0336 (0.0363) loss_seg: 0.0362 (0.0388) loss_lansim: 0.0758 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4612 data: 0.0023 max mem: 31671 Epoch: [32] [5240/5278] eta: 0:01:36 lr: 1.0425466295747224e-05 loss: 0.0331 (0.0363) loss_seg: 0.0349 (0.0388) loss_lansim: 0.0754 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4483 data: 0.0023 max mem: 31671 Epoch: [32] [5250/5278] eta: 0:01:11 lr: 1.0422929171518997e-05 loss: 0.0329 (0.0363) loss_seg: 0.0347 (0.0388) loss_lansim: 0.0761 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4397 data: 0.0023 max mem: 31671 Epoch: [32] [5260/5278] eta: 0:00:45 lr: 1.042039197866884e-05 loss: 0.0329 (0.0362) loss_seg: 0.0349 (0.0388) loss_lansim: 0.0775 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4406 data: 0.0023 max mem: 31671 Epoch: [32] [5270/5278] eta: 0:00:20 lr: 1.0417854717176342e-05 loss: 0.0331 (0.0362) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0775 (0.0774) loss_contra: 0.0000 (0.0013) time: 2.4348 data: 0.0023 max mem: 31671 Epoch: [32] Total time: 3:44:19 Test: [ 0/2573] eta: 2:20:47 time: 3.2833 data: 2.7263 max mem: 31671 Test: [ 100/2573] eta: 0:07:02 time: 0.1399 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:15 time: 0.1455 data: 0.0014 max mem: 31671 Test: [ 300/2573] eta: 0:05:46 time: 0.1411 data: 0.0014 max mem: 31671 Test: [ 400/2573] eta: 0:05:26 time: 0.1430 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:08 time: 0.1426 data: 0.0014 max mem: 31671 Test: [ 600/2573] eta: 0:04:51 time: 0.1437 data: 0.0013 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1499 data: 0.0015 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1465 data: 0.0014 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1454 data: 0.0014 max mem: 31671 Test: [1000/2573] eta: 0:03:51 time: 0.1439 data: 0.0014 max mem: 31671 Test: [1100/2573] eta: 0:03:36 time: 0.1447 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:22 time: 0.1481 data: 0.0014 max mem: 31671 Test: [1300/2573] eta: 0:03:07 time: 0.1459 data: 0.0014 max mem: 31671 Test: [1400/2573] eta: 0:02:52 time: 0.1427 data: 0.0014 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1453 data: 0.0014 max mem: 31671 Test: [1600/2573] eta: 0:02:22 time: 0.1455 data: 0.0014 max mem: 31671 Test: [1700/2573] eta: 0:02:07 time: 0.1447 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:53 time: 0.1419 data: 0.0014 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1417 data: 0.0015 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1408 data: 0.0015 max mem: 31671 Test: [2100/2573] eta: 0:01:08 time: 0.1448 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1392 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1441 data: 0.0014 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1424 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1455 data: 0.0015 max mem: 31671 Test: Total time: 0:06:13 Final results: precision@0.5 = 71.73 precision@0.6 = 67.61 precision@0.7 = 60.99 precision@0.8 = 50.14 precision@0.9 = 25.59 overall IoU = 60.57 mean IoU = 63.37 Average object IoU 0.6336869547543027 Overall IoU 60.565725935677605 Better epoch: 32 The best_performance is 60.565725935677605 Epoch: [33] [ 0/5278] eta: 5:37:06 lr: 1.0415824858546109e-05 loss: 0.0316 (0.0316) loss_seg: 0.0309 (0.0309) loss_lansim: 0.0713 (0.0713) loss_contra: 0.0000 (0.0000) time: 3.8323 data: 1.2647 max mem: 31671 Epoch: [33] [ 10/5278] eta: 3:42:21 lr: 1.0413287473445876e-05 loss: 0.0311 (0.0340) loss_seg: 0.0302 (0.0343) loss_lansim: 0.0771 (0.0788) loss_contra: 0.0001 (0.0011) time: 2.5326 data: 0.1171 max mem: 31671 Epoch: [33] [ 20/5278] eta: 3:37:43 lr: 1.0410750019646045e-05 loss: 0.0307 (0.0371) loss_seg: 0.0302 (0.0390) loss_lansim: 0.0728 (0.0767) loss_contra: 0.0000 (0.0010) time: 2.4844 data: 0.0621 max mem: 31671 Epoch: [33] [ 30/5278] eta: 3:36:55 lr: 1.0408212497126157e-05 loss: 0.0307 (0.0366) loss_seg: 0.0302 (0.0382) loss_lansim: 0.0728 (0.0770) loss_contra: 0.0000 (0.0010) time: 2.4800 data: 0.0428 max mem: 31671 Epoch: [33] [ 40/5278] eta: 3:34:38 lr: 1.0405674905865728e-05 loss: 0.0281 (0.0340) loss_seg: 0.0299 (0.0357) loss_lansim: 0.0742 (0.0769) loss_contra: 0.0000 (0.0009) time: 2.4586 data: 0.0329 max mem: 31671 Epoch: [33] [ 50/5278] eta: 3:33:52 lr: 1.0403137245844279e-05 loss: 0.0311 (0.0349) loss_seg: 0.0309 (0.0369) loss_lansim: 0.0742 (0.0770) loss_contra: 0.0000 (0.0008) time: 2.4546 data: 0.0269 max mem: 31671 Epoch: [33] [ 60/5278] eta: 3:33:07 lr: 1.04005995170413e-05 loss: 0.0306 (0.0337) loss_seg: 0.0303 (0.0356) loss_lansim: 0.0742 (0.0768) loss_contra: 0.0000 (0.0007) time: 2.4507 data: 0.0229 max mem: 31671 Epoch: [33] [ 70/5278] eta: 3:32:00 lr: 1.039806171943628e-05 loss: 0.0307 (0.0342) loss_seg: 0.0309 (0.0361) loss_lansim: 0.0742 (0.0765) loss_contra: 0.0000 (0.0008) time: 2.4424 data: 0.0200 max mem: 31671 Epoch: [33] [ 80/5278] eta: 3:31:39 lr: 1.0395523853008694e-05 loss: 0.0312 (0.0348) loss_seg: 0.0323 (0.0369) loss_lansim: 0.0742 (0.0761) loss_contra: 0.0000 (0.0007) time: 2.4432 data: 0.0178 max mem: 31671 Epoch: [33] [ 90/5278] eta: 3:31:25 lr: 1.039298591773801e-05 loss: 0.0311 (0.0343) loss_seg: 0.0315 (0.0363) loss_lansim: 0.0757 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4453 data: 0.0161 max mem: 31671 Epoch: [33] [ 100/5278] eta: 3:30:56 lr: 1.0390447913603684e-05 loss: 0.0308 (0.0340) loss_seg: 0.0315 (0.0362) loss_lansim: 0.0746 (0.0765) loss_contra: 0.0000 (0.0012) time: 2.4305 data: 0.0022 max mem: 31671 Epoch: [33] [ 110/5278] eta: 3:29:51 lr: 1.0387909840585145e-05 loss: 0.0306 (0.0339) loss_seg: 0.0323 (0.0360) loss_lansim: 0.0746 (0.0768) loss_contra: 0.0000 (0.0012) time: 2.4258 data: 0.0022 max mem: 31671 Epoch: [33] [ 120/5278] eta: 3:29:34 lr: 1.0385371698661828e-05 loss: 0.0308 (0.0338) loss_seg: 0.0325 (0.0359) loss_lansim: 0.0752 (0.0765) loss_contra: 0.0000 (0.0012) time: 2.4281 data: 0.0023 max mem: 31671 Epoch: [33] [ 130/5278] eta: 3:29:17 lr: 1.0382833487813149e-05 loss: 0.0308 (0.0339) loss_seg: 0.0331 (0.0360) loss_lansim: 0.0757 (0.0767) loss_contra: 0.0000 (0.0011) time: 2.4266 data: 0.0023 max mem: 31671 Epoch: [33] [ 140/5278] eta: 3:29:10 lr: 1.0380295208018521e-05 loss: 0.0338 (0.0342) loss_seg: 0.0337 (0.0363) loss_lansim: 0.0757 (0.0766) loss_contra: 0.0000 (0.0011) time: 2.4361 data: 0.0023 max mem: 31671 Epoch: [33] [ 150/5278] eta: 3:28:57 lr: 1.0377756859257326e-05 loss: 0.0335 (0.0345) loss_seg: 0.0343 (0.0366) loss_lansim: 0.0757 (0.0766) loss_contra: 0.0000 (0.0011) time: 2.4399 data: 0.0023 max mem: 31671 Epoch: [33] [ 160/5278] eta: 3:28:45 lr: 1.0375218441508949e-05 loss: 0.0338 (0.0353) loss_seg: 0.0363 (0.0375) loss_lansim: 0.0752 (0.0764) loss_contra: 0.0000 (0.0013) time: 2.4454 data: 0.0023 max mem: 31671 Epoch: [33] [ 170/5278] eta: 3:28:29 lr: 1.0372679954752764e-05 loss: 0.0335 (0.0349) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0744 (0.0764) loss_contra: 0.0000 (0.0012) time: 2.4538 data: 0.0023 max mem: 31671 Epoch: [33] [ 180/5278] eta: 3:28:31 lr: 1.0370141398968132e-05 loss: 0.0315 (0.0349) loss_seg: 0.0334 (0.0371) loss_lansim: 0.0747 (0.0764) loss_contra: 0.0000 (0.0014) time: 2.4629 data: 0.0023 max mem: 31671 Epoch: [33] [ 190/5278] eta: 3:28:10 lr: 1.036760277413439e-05 loss: 0.0331 (0.0350) loss_seg: 0.0337 (0.0372) loss_lansim: 0.0742 (0.0763) loss_contra: 0.0000 (0.0013) time: 2.4637 data: 0.0023 max mem: 31671 Epoch: [33] [ 200/5278] eta: 3:27:38 lr: 1.0365064080230878e-05 loss: 0.0336 (0.0353) loss_seg: 0.0363 (0.0376) loss_lansim: 0.0742 (0.0765) loss_contra: 0.0000 (0.0012) time: 2.4626 data: 0.0023 max mem: 31671 Epoch: [33] [ 210/5278] eta: 3:26:59 lr: 1.036252531723692e-05 loss: 0.0338 (0.0353) loss_seg: 0.0363 (0.0377) loss_lansim: 0.0734 (0.0767) loss_contra: 0.0000 (0.0012) time: 2.4664 data: 0.0023 max mem: 31671 Epoch: [33] [ 220/5278] eta: 3:26:25 lr: 1.035998648513183e-05 loss: 0.0338 (0.0354) loss_seg: 0.0367 (0.0378) loss_lansim: 0.0735 (0.0766) loss_contra: 0.0000 (0.0011) time: 2.4616 data: 0.0023 max mem: 31671 Epoch: [33] [ 230/5278] eta: 3:25:51 lr: 1.0357447583894897e-05 loss: 0.0335 (0.0353) loss_seg: 0.0363 (0.0376) loss_lansim: 0.0743 (0.0767) loss_contra: 0.0000 (0.0011) time: 2.4569 data: 0.0023 max mem: 31671 Epoch: [33] [ 240/5278] eta: 3:25:32 lr: 1.0354908613505416e-05 loss: 0.0335 (0.0352) loss_seg: 0.0362 (0.0375) loss_lansim: 0.0743 (0.0766) loss_contra: 0.0000 (0.0011) time: 2.4551 data: 0.0023 max mem: 31671 Epoch: [33] [ 250/5278] eta: 3:24:54 lr: 1.035236957394266e-05 loss: 0.0335 (0.0352) loss_seg: 0.0352 (0.0375) loss_lansim: 0.0743 (0.0765) loss_contra: 0.0000 (0.0012) time: 2.4456 data: 0.0023 max mem: 31671 Epoch: [33] [ 260/5278] eta: 3:24:37 lr: 1.0349830465185901e-05 loss: 0.0335 (0.0351) loss_seg: 0.0358 (0.0374) loss_lansim: 0.0747 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4455 data: 0.0023 max mem: 31671 Epoch: [33] [ 270/5278] eta: 3:24:10 lr: 1.034729128721438e-05 loss: 0.0336 (0.0354) loss_seg: 0.0364 (0.0378) loss_lansim: 0.0751 (0.0764) loss_contra: 0.0000 (0.0014) time: 2.4415 data: 0.0023 max mem: 31671 Epoch: [33] [ 280/5278] eta: 3:23:42 lr: 1.0344752040007338e-05 loss: 0.0339 (0.0354) loss_seg: 0.0366 (0.0378) loss_lansim: 0.0746 (0.0762) loss_contra: 0.0000 (0.0013) time: 2.4297 data: 0.0023 max mem: 31671 Epoch: [33] [ 290/5278] eta: 3:23:15 lr: 1.0342212723544007e-05 loss: 0.0339 (0.0356) loss_seg: 0.0358 (0.0380) loss_lansim: 0.0748 (0.0763) loss_contra: 0.0000 (0.0021) time: 2.4259 data: 0.0023 max mem: 31671 Epoch: [33] [ 300/5278] eta: 3:22:50 lr: 1.0339673337803609e-05 loss: 0.0327 (0.0353) loss_seg: 0.0348 (0.0377) loss_lansim: 0.0755 (0.0765) loss_contra: 0.0000 (0.0022) time: 2.4278 data: 0.0023 max mem: 31671 Epoch: [33] [ 310/5278] eta: 3:22:26 lr: 1.0337133882765335e-05 loss: 0.0324 (0.0353) loss_seg: 0.0348 (0.0376) loss_lansim: 0.0758 (0.0765) loss_contra: 0.0000 (0.0021) time: 2.4331 data: 0.0023 max mem: 31671 Epoch: [33] [ 320/5278] eta: 3:22:01 lr: 1.0334594358408384e-05 loss: 0.0326 (0.0355) loss_seg: 0.0347 (0.0379) loss_lansim: 0.0757 (0.0765) loss_contra: 0.0000 (0.0021) time: 2.4366 data: 0.0024 max mem: 31671 Epoch: [33] [ 330/5278] eta: 3:21:37 lr: 1.0332054764711937e-05 loss: 0.0331 (0.0353) loss_seg: 0.0347 (0.0377) loss_lansim: 0.0753 (0.0765) loss_contra: 0.0000 (0.0020) time: 2.4402 data: 0.0024 max mem: 31671 Epoch: [33] [ 340/5278] eta: 3:21:19 lr: 1.0329515101655161e-05 loss: 0.0320 (0.0352) loss_seg: 0.0336 (0.0375) loss_lansim: 0.0755 (0.0766) loss_contra: 0.0000 (0.0020) time: 2.4427 data: 0.0024 max mem: 31671 Epoch: [33] [ 350/5278] eta: 3:20:45 lr: 1.0326975369217223e-05 loss: 0.0312 (0.0350) loss_seg: 0.0328 (0.0373) loss_lansim: 0.0757 (0.0766) loss_contra: 0.0000 (0.0019) time: 2.4424 data: 0.0024 max mem: 31671 Epoch: [33] [ 360/5278] eta: 3:20:20 lr: 1.0324435567377249e-05 loss: 0.0316 (0.0351) loss_seg: 0.0330 (0.0374) loss_lansim: 0.0752 (0.0764) loss_contra: 0.0000 (0.0019) time: 2.4379 data: 0.0024 max mem: 31671 Epoch: [33] [ 370/5278] eta: 3:20:00 lr: 1.032189569611438e-05 loss: 0.0316 (0.0352) loss_seg: 0.0327 (0.0375) loss_lansim: 0.0750 (0.0764) loss_contra: 0.0000 (0.0019) time: 2.4416 data: 0.0024 max mem: 31671 Epoch: [33] [ 380/5278] eta: 3:19:35 lr: 1.0319355755407738e-05 loss: 0.0318 (0.0353) loss_seg: 0.0328 (0.0377) loss_lansim: 0.0754 (0.0764) loss_contra: 0.0000 (0.0019) time: 2.4435 data: 0.0024 max mem: 31671 Epoch: [33] [ 390/5278] eta: 3:19:09 lr: 1.0316815745236438e-05 loss: 0.0320 (0.0353) loss_seg: 0.0341 (0.0377) loss_lansim: 0.0755 (0.0766) loss_contra: 0.0000 (0.0019) time: 2.4436 data: 0.0024 max mem: 31671 Epoch: [33] [ 400/5278] eta: 3:18:46 lr: 1.0314275665579564e-05 loss: 0.0320 (0.0353) loss_seg: 0.0342 (0.0376) loss_lansim: 0.0756 (0.0766) loss_contra: 0.0000 (0.0018) time: 2.4452 data: 0.0024 max mem: 31671 Epoch: [33] [ 410/5278] eta: 3:18:36 lr: 1.0311735516416205e-05 loss: 0.0323 (0.0353) loss_seg: 0.0347 (0.0376) loss_lansim: 0.0755 (0.0766) loss_contra: 0.0000 (0.0018) time: 2.4575 data: 0.0024 max mem: 31671 Epoch: [33] [ 420/5278] eta: 3:18:13 lr: 1.0309195297725436e-05 loss: 0.0312 (0.0351) loss_seg: 0.0330 (0.0375) loss_lansim: 0.0751 (0.0765) loss_contra: 0.0000 (0.0018) time: 2.4590 data: 0.0024 max mem: 31671 Epoch: [33] [ 430/5278] eta: 3:17:36 lr: 1.0306655009486324e-05 loss: 0.0313 (0.0351) loss_seg: 0.0341 (0.0374) loss_lansim: 0.0747 (0.0764) loss_contra: 0.0000 (0.0018) time: 2.4484 data: 0.0023 max mem: 31671 Epoch: [33] [ 440/5278] eta: 3:17:01 lr: 1.0304114651677903e-05 loss: 0.0313 (0.0349) loss_seg: 0.0341 (0.0373) loss_lansim: 0.0741 (0.0763) loss_contra: 0.0000 (0.0017) time: 2.4334 data: 0.0023 max mem: 31671 Epoch: [33] [ 450/5278] eta: 3:16:45 lr: 1.0301574224279215e-05 loss: 0.0313 (0.0349) loss_seg: 0.0343 (0.0372) loss_lansim: 0.0739 (0.0763) loss_contra: 0.0000 (0.0017) time: 2.4482 data: 0.0023 max mem: 31671 Epoch: [33] [ 460/5278] eta: 3:16:28 lr: 1.029903372726929e-05 loss: 0.0308 (0.0347) loss_seg: 0.0327 (0.0370) loss_lansim: 0.0743 (0.0763) loss_contra: 0.0000 (0.0017) time: 2.4563 data: 0.0023 max mem: 31671 Epoch: [33] [ 470/5278] eta: 3:16:07 lr: 1.0296493160627138e-05 loss: 0.0308 (0.0348) loss_seg: 0.0327 (0.0371) loss_lansim: 0.0747 (0.0764) loss_contra: 0.0000 (0.0017) time: 2.4564 data: 0.0024 max mem: 31671 Epoch: [33] [ 480/5278] eta: 3:15:34 lr: 1.0293952524331753e-05 loss: 0.0310 (0.0347) loss_seg: 0.0331 (0.0370) loss_lansim: 0.0741 (0.0764) loss_contra: 0.0000 (0.0017) time: 2.4486 data: 0.0024 max mem: 31671 Epoch: [33] [ 490/5278] eta: 3:15:03 lr: 1.029141181836213e-05 loss: 0.0302 (0.0347) loss_seg: 0.0310 (0.0370) loss_lansim: 0.0731 (0.0763) loss_contra: 0.0000 (0.0018) time: 2.4429 data: 0.0024 max mem: 31671 Epoch: [33] [ 500/5278] eta: 3:14:31 lr: 1.0288871042697242e-05 loss: 0.0308 (0.0347) loss_seg: 0.0327 (0.0370) loss_lansim: 0.0730 (0.0763) loss_contra: 0.0000 (0.0018) time: 2.4338 data: 0.0024 max mem: 31671 Epoch: [33] [ 510/5278] eta: 3:14:08 lr: 1.028633019731606e-05 loss: 0.0310 (0.0348) loss_seg: 0.0331 (0.0371) loss_lansim: 0.0724 (0.0763) loss_contra: 0.0000 (0.0019) time: 2.4230 data: 0.0024 max mem: 31671 Epoch: [33] [ 520/5278] eta: 3:13:40 lr: 1.0283789282197522e-05 loss: 0.0314 (0.0348) loss_seg: 0.0340 (0.0371) loss_lansim: 0.0731 (0.0764) loss_contra: 0.0000 (0.0019) time: 2.4178 data: 0.0024 max mem: 31671 Epoch: [33] [ 530/5278] eta: 3:13:14 lr: 1.0281248297320578e-05 loss: 0.0314 (0.0348) loss_seg: 0.0332 (0.0370) loss_lansim: 0.0755 (0.0764) loss_contra: 0.0000 (0.0018) time: 2.4255 data: 0.0024 max mem: 31671 Epoch: [33] [ 540/5278] eta: 3:12:48 lr: 1.027870724266415e-05 loss: 0.0319 (0.0347) loss_seg: 0.0344 (0.0370) loss_lansim: 0.0758 (0.0764) loss_contra: 0.0001 (0.0018) time: 2.4340 data: 0.0024 max mem: 31671 Epoch: [33] [ 550/5278] eta: 3:12:29 lr: 1.0276166118207165e-05 loss: 0.0319 (0.0346) loss_seg: 0.0343 (0.0369) loss_lansim: 0.0776 (0.0765) loss_contra: 0.0001 (0.0018) time: 2.4312 data: 0.0024 max mem: 31671 Epoch: [33] [ 560/5278] eta: 3:12:01 lr: 1.0273624923928509e-05 loss: 0.0319 (0.0347) loss_seg: 0.0344 (0.0370) loss_lansim: 0.0776 (0.0766) loss_contra: 0.0001 (0.0018) time: 2.4199 data: 0.0024 max mem: 31671 Epoch: [33] [ 570/5278] eta: 3:11:37 lr: 1.0271083659807083e-05 loss: 0.0324 (0.0348) loss_seg: 0.0344 (0.0371) loss_lansim: 0.0759 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4174 data: 0.0024 max mem: 31671 Epoch: [33] [ 580/5278] eta: 3:11:04 lr: 1.0268542325821765e-05 loss: 0.0315 (0.0347) loss_seg: 0.0334 (0.0370) loss_lansim: 0.0760 (0.0766) loss_contra: 0.0001 (0.0017) time: 2.4147 data: 0.0024 max mem: 31671 Epoch: [33] [ 590/5278] eta: 3:10:39 lr: 1.0266000921951422e-05 loss: 0.0322 (0.0348) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0758 (0.0766) loss_contra: 0.0001 (0.0017) time: 2.4198 data: 0.0024 max mem: 31671 Epoch: [33] [ 600/5278] eta: 3:10:14 lr: 1.0263459448174913e-05 loss: 0.0322 (0.0348) loss_seg: 0.0344 (0.0371) loss_lansim: 0.0759 (0.0766) loss_contra: 0.0001 (0.0019) time: 2.4266 data: 0.0024 max mem: 31671 Epoch: [33] [ 610/5278] eta: 3:09:59 lr: 1.026091790447107e-05 loss: 0.0321 (0.0348) loss_seg: 0.0343 (0.0370) loss_lansim: 0.0758 (0.0766) loss_contra: 0.0001 (0.0018) time: 2.4368 data: 0.0024 max mem: 31671 Epoch: [33] [ 620/5278] eta: 3:09:35 lr: 1.0258376290818726e-05 loss: 0.0321 (0.0348) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0758 (0.0766) loss_contra: 0.0001 (0.0018) time: 2.4404 data: 0.0024 max mem: 31671 Epoch: [33] [ 630/5278] eta: 3:09:09 lr: 1.0255834607196702e-05 loss: 0.0318 (0.0347) loss_seg: 0.0342 (0.0370) loss_lansim: 0.0759 (0.0767) loss_contra: 0.0001 (0.0018) time: 2.4412 data: 0.0024 max mem: 31671 Epoch: [33] [ 640/5278] eta: 3:08:50 lr: 1.0253292853583807e-05 loss: 0.0312 (0.0346) loss_seg: 0.0334 (0.0369) loss_lansim: 0.0753 (0.0766) loss_contra: 0.0000 (0.0018) time: 2.4500 data: 0.0025 max mem: 31671 Epoch: [33] [ 650/5278] eta: 3:08:22 lr: 1.0250751029958825e-05 loss: 0.0317 (0.0346) loss_seg: 0.0340 (0.0369) loss_lansim: 0.0751 (0.0765) loss_contra: 0.0000 (0.0018) time: 2.4401 data: 0.0025 max mem: 31671 Epoch: [33] [ 660/5278] eta: 3:08:05 lr: 1.0248209136300541e-05 loss: 0.0318 (0.0347) loss_seg: 0.0341 (0.0370) loss_lansim: 0.0750 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4530 data: 0.0025 max mem: 31671 Epoch: [33] [ 670/5278] eta: 3:07:44 lr: 1.0245667172587726e-05 loss: 0.0318 (0.0347) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0752 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4585 data: 0.0025 max mem: 31671 Epoch: [33] [ 680/5278] eta: 3:07:25 lr: 1.0243125138799139e-05 loss: 0.0321 (0.0347) loss_seg: 0.0348 (0.0370) loss_lansim: 0.0752 (0.0765) loss_contra: 0.0001 (0.0017) time: 2.4775 data: 0.0025 max mem: 31671 Epoch: [33] [ 690/5278] eta: 3:07:06 lr: 1.0240583034913514e-05 loss: 0.0318 (0.0347) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0751 (0.0764) loss_contra: 0.0000 (0.0017) time: 2.4879 data: 0.0025 max mem: 31671 Epoch: [33] [ 700/5278] eta: 3:06:42 lr: 1.0238040860909587e-05 loss: 0.0317 (0.0347) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0754 (0.0764) loss_contra: 0.0000 (0.0017) time: 2.4892 data: 0.0024 max mem: 31671 Epoch: [33] [ 710/5278] eta: 3:06:20 lr: 1.0235498616766082e-05 loss: 0.0317 (0.0347) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0751 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4805 data: 0.0024 max mem: 31671 Epoch: [33] [ 720/5278] eta: 3:05:57 lr: 1.0232956302461708e-05 loss: 0.0317 (0.0347) loss_seg: 0.0347 (0.0370) loss_lansim: 0.0757 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4843 data: 0.0024 max mem: 31671 Epoch: [33] [ 730/5278] eta: 3:05:30 lr: 1.0230413917975148e-05 loss: 0.0316 (0.0346) loss_seg: 0.0346 (0.0369) loss_lansim: 0.0754 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4830 data: 0.0024 max mem: 31671 Epoch: [33] [ 740/5278] eta: 3:05:04 lr: 1.0227871463285094e-05 loss: 0.0332 (0.0346) loss_seg: 0.0359 (0.0369) loss_lansim: 0.0760 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4732 data: 0.0024 max mem: 31671 Epoch: [33] [ 750/5278] eta: 3:04:41 lr: 1.0225328938370211e-05 loss: 0.0332 (0.0346) loss_seg: 0.0360 (0.0369) loss_lansim: 0.0765 (0.0766) loss_contra: 0.0000 (0.0016) time: 2.4795 data: 0.0023 max mem: 31671 Epoch: [33] [ 760/5278] eta: 3:04:13 lr: 1.0222786343209168e-05 loss: 0.0327 (0.0346) loss_seg: 0.0359 (0.0370) loss_lansim: 0.0769 (0.0766) loss_contra: 0.0000 (0.0016) time: 2.4650 data: 0.0023 max mem: 31671 Epoch: [33] [ 770/5278] eta: 3:03:52 lr: 1.0220243677780594e-05 loss: 0.0326 (0.0347) loss_seg: 0.0356 (0.0370) loss_lansim: 0.0768 (0.0766) loss_contra: 0.0000 (0.0015) time: 2.4649 data: 0.0023 max mem: 31671 Epoch: [33] [ 780/5278] eta: 3:03:27 lr: 1.0217700942063131e-05 loss: 0.0324 (0.0346) loss_seg: 0.0347 (0.0369) loss_lansim: 0.0768 (0.0766) loss_contra: 0.0000 (0.0015) time: 2.4561 data: 0.0023 max mem: 31671 Epoch: [33] [ 790/5278] eta: 3:03:05 lr: 1.0215158136035397e-05 loss: 0.0322 (0.0346) loss_seg: 0.0341 (0.0369) loss_lansim: 0.0772 (0.0767) loss_contra: 0.0000 (0.0015) time: 2.4531 data: 0.0023 max mem: 31671 Epoch: [33] [ 800/5278] eta: 3:02:46 lr: 1.021261525967601e-05 loss: 0.0321 (0.0346) loss_seg: 0.0341 (0.0368) loss_lansim: 0.0777 (0.0767) loss_contra: 0.0000 (0.0015) time: 2.4616 data: 0.0023 max mem: 31671 Epoch: [33] [ 810/5278] eta: 3:02:20 lr: 1.0210072312963548e-05 loss: 0.0312 (0.0346) loss_seg: 0.0336 (0.0369) loss_lansim: 0.0777 (0.0766) loss_contra: 0.0000 (0.0015) time: 2.4576 data: 0.0023 max mem: 31671 Epoch: [33] [ 820/5278] eta: 3:01:54 lr: 1.0207529295876604e-05 loss: 0.0312 (0.0346) loss_seg: 0.0336 (0.0369) loss_lansim: 0.0750 (0.0765) loss_contra: 0.0000 (0.0015) time: 2.4514 data: 0.0023 max mem: 31671 Epoch: [33] [ 830/5278] eta: 3:01:28 lr: 1.0204986208393749e-05 loss: 0.0322 (0.0346) loss_seg: 0.0345 (0.0369) loss_lansim: 0.0750 (0.0765) loss_contra: 0.0000 (0.0015) time: 2.4526 data: 0.0022 max mem: 31671 Epoch: [33] [ 840/5278] eta: 3:01:03 lr: 1.0202443050493538e-05 loss: 0.0322 (0.0346) loss_seg: 0.0345 (0.0369) loss_lansim: 0.0744 (0.0765) loss_contra: 0.0000 (0.0015) time: 2.4546 data: 0.0023 max mem: 31671 Epoch: [33] [ 850/5278] eta: 3:00:38 lr: 1.0199899822154528e-05 loss: 0.0315 (0.0346) loss_seg: 0.0341 (0.0369) loss_lansim: 0.0740 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4512 data: 0.0023 max mem: 31671 Epoch: [33] [ 860/5278] eta: 3:00:11 lr: 1.0197356523355237e-05 loss: 0.0322 (0.0346) loss_seg: 0.0348 (0.0369) loss_lansim: 0.0744 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4511 data: 0.0023 max mem: 31671 Epoch: [33] [ 870/5278] eta: 2:59:44 lr: 1.0194813154074192e-05 loss: 0.0315 (0.0345) loss_seg: 0.0341 (0.0368) loss_lansim: 0.0748 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4418 data: 0.0023 max mem: 31671 Epoch: [33] [ 880/5278] eta: 2:59:21 lr: 1.0192269714289902e-05 loss: 0.0317 (0.0346) loss_seg: 0.0347 (0.0369) loss_lansim: 0.0740 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4454 data: 0.0023 max mem: 31671 Epoch: [33] [ 890/5278] eta: 2:58:54 lr: 1.018972620398087e-05 loss: 0.0317 (0.0346) loss_seg: 0.0345 (0.0369) loss_lansim: 0.0748 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4356 data: 0.0023 max mem: 31671 Epoch: [33] [ 900/5278] eta: 2:58:29 lr: 1.0187182623125565e-05 loss: 0.0317 (0.0347) loss_seg: 0.0345 (0.0370) loss_lansim: 0.0748 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4241 data: 0.0023 max mem: 31671 Epoch: [33] [ 910/5278] eta: 2:58:01 lr: 1.0184638971702463e-05 loss: 0.0317 (0.0351) loss_seg: 0.0345 (0.0375) loss_lansim: 0.0755 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4192 data: 0.0023 max mem: 31671 Epoch: [33] [ 920/5278] eta: 2:57:36 lr: 1.0182095249690027e-05 loss: 0.0317 (0.0351) loss_seg: 0.0334 (0.0374) loss_lansim: 0.0756 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4206 data: 0.0023 max mem: 31671 Epoch: [33] [ 930/5278] eta: 2:57:14 lr: 1.0179551457066704e-05 loss: 0.0296 (0.0352) loss_seg: 0.0317 (0.0376) loss_lansim: 0.0755 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4273 data: 0.0023 max mem: 31671 Epoch: [33] [ 940/5278] eta: 2:56:49 lr: 1.017700759381092e-05 loss: 0.0291 (0.0352) loss_seg: 0.0312 (0.0376) loss_lansim: 0.0756 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4260 data: 0.0024 max mem: 31671 Epoch: [33] [ 950/5278] eta: 2:56:23 lr: 1.0174463659901095e-05 loss: 0.0293 (0.0352) loss_seg: 0.0312 (0.0376) loss_lansim: 0.0758 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4252 data: 0.0024 max mem: 31671 Epoch: [33] [ 960/5278] eta: 2:55:59 lr: 1.0171919655315642e-05 loss: 0.0296 (0.0352) loss_seg: 0.0317 (0.0376) loss_lansim: 0.0757 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4328 data: 0.0024 max mem: 31671 Epoch: [33] [ 970/5278] eta: 2:55:38 lr: 1.0169375580032963e-05 loss: 0.0320 (0.0354) loss_seg: 0.0327 (0.0378) loss_lansim: 0.0756 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4434 data: 0.0024 max mem: 31671 Epoch: [33] [ 980/5278] eta: 2:55:14 lr: 1.0166831434031424e-05 loss: 0.0320 (0.0354) loss_seg: 0.0327 (0.0378) loss_lansim: 0.0758 (0.0767) loss_contra: 0.0000 (0.0014) time: 2.4412 data: 0.0024 max mem: 31671 Epoch: [33] [ 990/5278] eta: 2:54:52 lr: 1.0164287217289404e-05 loss: 0.0330 (0.0354) loss_seg: 0.0335 (0.0378) loss_lansim: 0.0755 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4512 data: 0.0024 max mem: 31671 Epoch: [33] [1000/5278] eta: 2:54:26 lr: 1.0161742929785262e-05 loss: 0.0330 (0.0354) loss_seg: 0.0335 (0.0378) loss_lansim: 0.0755 (0.0767) loss_contra: 0.0000 (0.0014) time: 2.4517 data: 0.0024 max mem: 31671 Epoch: [33] [1010/5278] eta: 2:54:03 lr: 1.0159198571497345e-05 loss: 0.0307 (0.0353) loss_seg: 0.0332 (0.0377) loss_lansim: 0.0756 (0.0768) loss_contra: 0.0000 (0.0014) time: 2.4613 data: 0.0024 max mem: 31671 Epoch: [33] [1020/5278] eta: 2:53:37 lr: 1.0156654142403977e-05 loss: 0.0322 (0.0354) loss_seg: 0.0332 (0.0378) loss_lansim: 0.0775 (0.0768) loss_contra: 0.0000 (0.0014) time: 2.4578 data: 0.0024 max mem: 31671 Epoch: [33] [1030/5278] eta: 2:53:13 lr: 1.015410964248348e-05 loss: 0.0327 (0.0353) loss_seg: 0.0342 (0.0377) loss_lansim: 0.0768 (0.0768) loss_contra: 0.0000 (0.0014) time: 2.4555 data: 0.0024 max mem: 31671 Epoch: [33] [1040/5278] eta: 2:52:47 lr: 1.0151565071714165e-05 loss: 0.0321 (0.0353) loss_seg: 0.0335 (0.0377) loss_lansim: 0.0771 (0.0768) loss_contra: 0.0000 (0.0014) time: 2.4531 data: 0.0024 max mem: 31671 Epoch: [33] [1050/5278] eta: 2:52:21 lr: 1.014902043007433e-05 loss: 0.0319 (0.0352) loss_seg: 0.0335 (0.0376) loss_lansim: 0.0758 (0.0768) loss_contra: 0.0000 (0.0014) time: 2.4516 data: 0.0023 max mem: 31671 Epoch: [33] [1060/5278] eta: 2:51:55 lr: 1.0146475717542242e-05 loss: 0.0312 (0.0352) loss_seg: 0.0335 (0.0376) loss_lansim: 0.0758 (0.0768) loss_contra: 0.0000 (0.0014) time: 2.4461 data: 0.0023 max mem: 31671 Epoch: [33] [1070/5278] eta: 2:51:29 lr: 1.0143930934096179e-05 loss: 0.0314 (0.0352) loss_seg: 0.0335 (0.0376) loss_lansim: 0.0761 (0.0768) loss_contra: 0.0000 (0.0014) time: 2.4354 data: 0.0023 max mem: 31671 Epoch: [33] [1080/5278] eta: 2:51:07 lr: 1.0141386079714397e-05 loss: 0.0312 (0.0351) loss_seg: 0.0335 (0.0376) loss_lansim: 0.0757 (0.0768) loss_contra: 0.0000 (0.0015) time: 2.4409 data: 0.0023 max mem: 31671 Epoch: [33] [1090/5278] eta: 2:50:43 lr: 1.013884115437514e-05 loss: 0.0314 (0.0352) loss_seg: 0.0335 (0.0377) loss_lansim: 0.0766 (0.0768) loss_contra: 0.0000 (0.0015) time: 2.4350 data: 0.0023 max mem: 31671 Epoch: [33] [1100/5278] eta: 2:50:18 lr: 1.013629615805664e-05 loss: 0.0316 (0.0353) loss_seg: 0.0335 (0.0378) loss_lansim: 0.0757 (0.0768) loss_contra: 0.0000 (0.0015) time: 2.4378 data: 0.0023 max mem: 31671 Epoch: [33] [1110/5278] eta: 2:49:56 lr: 1.0133751090737107e-05 loss: 0.0321 (0.0353) loss_seg: 0.0341 (0.0378) loss_lansim: 0.0754 (0.0768) loss_contra: 0.0000 (0.0014) time: 2.4387 data: 0.0023 max mem: 31671 Epoch: [33] [1120/5278] eta: 2:49:33 lr: 1.0131205952394751e-05 loss: 0.0317 (0.0353) loss_seg: 0.0335 (0.0378) loss_lansim: 0.0748 (0.0767) loss_contra: 0.0000 (0.0014) time: 2.4496 data: 0.0023 max mem: 31671 Epoch: [33] [1130/5278] eta: 2:49:06 lr: 1.0128660743007764e-05 loss: 0.0317 (0.0353) loss_seg: 0.0335 (0.0377) loss_lansim: 0.0748 (0.0767) loss_contra: 0.0000 (0.0014) time: 2.4397 data: 0.0023 max mem: 31671 Epoch: [33] [1140/5278] eta: 2:48:41 lr: 1.0126115462554332e-05 loss: 0.0315 (0.0353) loss_seg: 0.0335 (0.0377) loss_lansim: 0.0743 (0.0767) loss_contra: 0.0000 (0.0014) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [33] [1150/5278] eta: 2:48:15 lr: 1.012357011101261e-05 loss: 0.0315 (0.0352) loss_seg: 0.0335 (0.0377) loss_lansim: 0.0751 (0.0767) loss_contra: 0.0000 (0.0014) time: 2.4414 data: 0.0023 max mem: 31671 Epoch: [33] [1160/5278] eta: 2:47:52 lr: 1.0121024688360756e-05 loss: 0.0315 (0.0352) loss_seg: 0.0335 (0.0377) loss_lansim: 0.0739 (0.0766) loss_contra: 0.0000 (0.0015) time: 2.4493 data: 0.0023 max mem: 31671 Epoch: [33] [1170/5278] eta: 2:47:26 lr: 1.0118479194576913e-05 loss: 0.0307 (0.0352) loss_seg: 0.0333 (0.0376) loss_lansim: 0.0739 (0.0766) loss_contra: 0.0000 (0.0015) time: 2.4479 data: 0.0023 max mem: 31671 Epoch: [33] [1180/5278] eta: 2:47:02 lr: 1.0115933629639213e-05 loss: 0.0315 (0.0353) loss_seg: 0.0341 (0.0377) loss_lansim: 0.0743 (0.0766) loss_contra: 0.0000 (0.0015) time: 2.4432 data: 0.0023 max mem: 31671 Epoch: [33] [1190/5278] eta: 2:46:38 lr: 1.0113387993525762e-05 loss: 0.0317 (0.0353) loss_seg: 0.0346 (0.0378) loss_lansim: 0.0742 (0.0766) loss_contra: 0.0000 (0.0015) time: 2.4463 data: 0.0023 max mem: 31671 Epoch: [33] [1200/5278] eta: 2:46:14 lr: 1.0110842286214669e-05 loss: 0.0317 (0.0353) loss_seg: 0.0346 (0.0377) loss_lansim: 0.0734 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4456 data: 0.0023 max mem: 31671 Epoch: [33] [1210/5278] eta: 2:45:50 lr: 1.010829650768402e-05 loss: 0.0320 (0.0353) loss_seg: 0.0347 (0.0378) loss_lansim: 0.0722 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4432 data: 0.0023 max mem: 31671 Epoch: [33] [1220/5278] eta: 2:45:24 lr: 1.01057506579119e-05 loss: 0.0320 (0.0353) loss_seg: 0.0352 (0.0378) loss_lansim: 0.0730 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4326 data: 0.0023 max mem: 31671 Epoch: [33] [1230/5278] eta: 2:44:58 lr: 1.0103204736876361e-05 loss: 0.0320 (0.0353) loss_seg: 0.0348 (0.0377) loss_lansim: 0.0722 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4367 data: 0.0023 max mem: 31671 Epoch: [33] [1240/5278] eta: 2:44:36 lr: 1.0100658744555459e-05 loss: 0.0320 (0.0352) loss_seg: 0.0352 (0.0376) loss_lansim: 0.0730 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4424 data: 0.0023 max mem: 31671 Epoch: [33] [1250/5278] eta: 2:44:14 lr: 1.0098112680927235e-05 loss: 0.0320 (0.0352) loss_seg: 0.0352 (0.0377) loss_lansim: 0.0730 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4578 data: 0.0023 max mem: 31671 Epoch: [33] [1260/5278] eta: 2:43:49 lr: 1.0095566545969717e-05 loss: 0.0320 (0.0352) loss_seg: 0.0352 (0.0377) loss_lansim: 0.0740 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4510 data: 0.0023 max mem: 31671 Epoch: [33] [1270/5278] eta: 2:43:23 lr: 1.0093020339660906e-05 loss: 0.0314 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0740 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4519 data: 0.0023 max mem: 31671 Epoch: [33] [1280/5278] eta: 2:42:58 lr: 1.0090474061978807e-05 loss: 0.0310 (0.0352) loss_seg: 0.0332 (0.0376) loss_lansim: 0.0740 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4482 data: 0.0023 max mem: 31671 Epoch: [33] [1290/5278] eta: 2:42:37 lr: 1.0087927712901407e-05 loss: 0.0305 (0.0352) loss_seg: 0.0332 (0.0376) loss_lansim: 0.0736 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4563 data: 0.0023 max mem: 31671 Epoch: [33] [1300/5278] eta: 2:42:10 lr: 1.0085381292406686e-05 loss: 0.0310 (0.0352) loss_seg: 0.0332 (0.0376) loss_lansim: 0.0749 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4483 data: 0.0023 max mem: 31671 Epoch: [33] [1310/5278] eta: 2:41:43 lr: 1.008283480047259e-05 loss: 0.0312 (0.0353) loss_seg: 0.0340 (0.0377) loss_lansim: 0.0749 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4383 data: 0.0023 max mem: 31671 Epoch: [33] [1320/5278] eta: 2:41:17 lr: 1.0080288237077076e-05 loss: 0.0312 (0.0353) loss_seg: 0.0340 (0.0377) loss_lansim: 0.0737 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4388 data: 0.0023 max mem: 31671 Epoch: [33] [1330/5278] eta: 2:40:55 lr: 1.0077741602198076e-05 loss: 0.0314 (0.0353) loss_seg: 0.0341 (0.0377) loss_lansim: 0.0758 (0.0766) loss_contra: 0.0000 (0.0014) time: 2.4480 data: 0.0023 max mem: 31671 Epoch: [33] [1340/5278] eta: 2:40:31 lr: 1.0075194895813512e-05 loss: 0.0312 (0.0353) loss_seg: 0.0340 (0.0377) loss_lansim: 0.0758 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4453 data: 0.0023 max mem: 31671 Epoch: [33] [1350/5278] eta: 2:40:08 lr: 1.0072648117901296e-05 loss: 0.0312 (0.0353) loss_seg: 0.0340 (0.0377) loss_lansim: 0.0737 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4402 data: 0.0023 max mem: 31671 Epoch: [33] [1360/5278] eta: 2:39:40 lr: 1.0070101268439316e-05 loss: 0.0315 (0.0353) loss_seg: 0.0340 (0.0377) loss_lansim: 0.0737 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4325 data: 0.0023 max mem: 31671 Epoch: [33] [1370/5278] eta: 2:39:16 lr: 1.0067554347405458e-05 loss: 0.0328 (0.0353) loss_seg: 0.0354 (0.0377) loss_lansim: 0.0737 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4373 data: 0.0023 max mem: 31671 Epoch: [33] [1380/5278] eta: 2:38:50 lr: 1.006500735477759e-05 loss: 0.0334 (0.0353) loss_seg: 0.0366 (0.0377) loss_lansim: 0.0737 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4327 data: 0.0023 max mem: 31671 Epoch: [33] [1390/5278] eta: 2:38:27 lr: 1.0062460290533576e-05 loss: 0.0320 (0.0353) loss_seg: 0.0340 (0.0377) loss_lansim: 0.0737 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4287 data: 0.0023 max mem: 31671 Epoch: [33] [1400/5278] eta: 2:38:02 lr: 1.0059913154651246e-05 loss: 0.0322 (0.0352) loss_seg: 0.0354 (0.0376) loss_lansim: 0.0731 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4325 data: 0.0024 max mem: 31671 Epoch: [33] [1410/5278] eta: 2:37:35 lr: 1.0057365947108437e-05 loss: 0.0305 (0.0352) loss_seg: 0.0325 (0.0376) loss_lansim: 0.0736 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4324 data: 0.0024 max mem: 31671 Epoch: [33] [1420/5278] eta: 2:37:11 lr: 1.0054818667882965e-05 loss: 0.0305 (0.0352) loss_seg: 0.0318 (0.0376) loss_lansim: 0.0740 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4400 data: 0.0024 max mem: 31671 Epoch: [33] [1430/5278] eta: 2:36:46 lr: 1.005227131695264e-05 loss: 0.0309 (0.0352) loss_seg: 0.0318 (0.0376) loss_lansim: 0.0740 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4293 data: 0.0024 max mem: 31671 Epoch: [33] [1440/5278] eta: 2:36:22 lr: 1.004972389429524e-05 loss: 0.0319 (0.0352) loss_seg: 0.0322 (0.0376) loss_lansim: 0.0747 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4283 data: 0.0024 max mem: 31671 Epoch: [33] [1450/5278] eta: 2:35:55 lr: 1.004717639988855e-05 loss: 0.0313 (0.0351) loss_seg: 0.0318 (0.0375) loss_lansim: 0.0746 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4162 data: 0.0024 max mem: 31671 Epoch: [33] [1460/5278] eta: 2:35:30 lr: 1.0044628833710334e-05 loss: 0.0311 (0.0351) loss_seg: 0.0312 (0.0375) loss_lansim: 0.0743 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4237 data: 0.0024 max mem: 31671 Epoch: [33] [1470/5278] eta: 2:35:05 lr: 1.0042081195738348e-05 loss: 0.0311 (0.0351) loss_seg: 0.0318 (0.0374) loss_lansim: 0.0747 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4189 data: 0.0024 max mem: 31671 Epoch: [33] [1480/5278] eta: 2:34:41 lr: 1.003953348595032e-05 loss: 0.0311 (0.0352) loss_seg: 0.0318 (0.0375) loss_lansim: 0.0746 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4287 data: 0.0025 max mem: 31671 Epoch: [33] [1490/5278] eta: 2:34:17 lr: 1.0036985704323979e-05 loss: 0.0299 (0.0351) loss_seg: 0.0308 (0.0375) loss_lansim: 0.0747 (0.0765) loss_contra: 0.0000 (0.0014) time: 2.4218 data: 0.0024 max mem: 31671 Epoch: [33] [1500/5278] eta: 2:33:52 lr: 1.0034437850837038e-05 loss: 0.0293 (0.0351) loss_seg: 0.0308 (0.0375) loss_lansim: 0.0757 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4260 data: 0.0024 max mem: 31671 Epoch: [33] [1510/5278] eta: 2:33:28 lr: 1.00318899254672e-05 loss: 0.0293 (0.0351) loss_seg: 0.0308 (0.0375) loss_lansim: 0.0752 (0.0765) loss_contra: 0.0000 (0.0013) time: 2.4357 data: 0.0024 max mem: 31671 Epoch: [33] [1520/5278] eta: 2:33:03 lr: 1.0029341928192139e-05 loss: 0.0296 (0.0352) loss_seg: 0.0308 (0.0376) loss_lansim: 0.0763 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4303 data: 0.0024 max mem: 31671 Epoch: [33] [1530/5278] eta: 2:32:38 lr: 1.0026793858989535e-05 loss: 0.0296 (0.0351) loss_seg: 0.0306 (0.0375) loss_lansim: 0.0763 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4320 data: 0.0024 max mem: 31671 Epoch: [33] [1540/5278] eta: 2:32:12 lr: 1.0024245717837042e-05 loss: 0.0296 (0.0351) loss_seg: 0.0306 (0.0375) loss_lansim: 0.0762 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4235 data: 0.0025 max mem: 31671 Epoch: [33] [1550/5278] eta: 2:31:47 lr: 1.0021697504712318e-05 loss: 0.0303 (0.0351) loss_seg: 0.0319 (0.0375) loss_lansim: 0.0766 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4296 data: 0.0025 max mem: 31671 Epoch: [33] [1560/5278] eta: 2:31:21 lr: 1.001914921959298e-05 loss: 0.0303 (0.0351) loss_seg: 0.0319 (0.0375) loss_lansim: 0.0764 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4232 data: 0.0025 max mem: 31671 Epoch: [33] [1570/5278] eta: 2:30:56 lr: 1.0016600862456648e-05 loss: 0.0308 (0.0351) loss_seg: 0.0319 (0.0375) loss_lansim: 0.0760 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4249 data: 0.0025 max mem: 31671 Epoch: [33] [1580/5278] eta: 2:30:34 lr: 1.0014052433280936e-05 loss: 0.0307 (0.0351) loss_seg: 0.0319 (0.0375) loss_lansim: 0.0762 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4319 data: 0.0025 max mem: 31671 Epoch: [33] [1590/5278] eta: 2:30:10 lr: 1.0011503932043433e-05 loss: 0.0308 (0.0351) loss_seg: 0.0323 (0.0374) loss_lansim: 0.0762 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4364 data: 0.0025 max mem: 31671 Epoch: [33] [1600/5278] eta: 2:29:45 lr: 1.0008955358721723e-05 loss: 0.0308 (0.0351) loss_seg: 0.0326 (0.0374) loss_lansim: 0.0750 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4295 data: 0.0025 max mem: 31671 Epoch: [33] [1610/5278] eta: 2:29:20 lr: 1.0006406713293363e-05 loss: 0.0308 (0.0350) loss_seg: 0.0323 (0.0374) loss_lansim: 0.0749 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4253 data: 0.0025 max mem: 31671 Epoch: [33] [1620/5278] eta: 2:28:54 lr: 1.0003857995735907e-05 loss: 0.0317 (0.0350) loss_seg: 0.0328 (0.0374) loss_lansim: 0.0748 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4202 data: 0.0025 max mem: 31671 Epoch: [33] [1630/5278] eta: 2:28:30 lr: 1.0001309206026897e-05 loss: 0.0322 (0.0351) loss_seg: 0.0337 (0.0374) loss_lansim: 0.0749 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4277 data: 0.0024 max mem: 31671 Epoch: [33] [1640/5278] eta: 2:28:08 lr: 9.998760344143863e-06 loss: 0.0327 (0.0350) loss_seg: 0.0343 (0.0374) loss_lansim: 0.0748 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4436 data: 0.0024 max mem: 31671 Epoch: [33] [1650/5278] eta: 2:27:43 lr: 9.996211410064307e-06 loss: 0.0327 (0.0350) loss_seg: 0.0343 (0.0374) loss_lansim: 0.0734 (0.0765) loss_contra: 0.0000 (0.0017) time: 2.4414 data: 0.0024 max mem: 31671 Epoch: [33] [1660/5278] eta: 2:27:16 lr: 9.993662403765734e-06 loss: 0.0325 (0.0350) loss_seg: 0.0343 (0.0374) loss_lansim: 0.0733 (0.0764) loss_contra: 0.0000 (0.0017) time: 2.4408 data: 0.0024 max mem: 31671 Epoch: [33] [1670/5278] eta: 2:26:52 lr: 9.991113325225629e-06 loss: 0.0313 (0.0350) loss_seg: 0.0343 (0.0374) loss_lansim: 0.0740 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4430 data: 0.0024 max mem: 31671 Epoch: [33] [1680/5278] eta: 2:26:27 lr: 9.98856417442147e-06 loss: 0.0317 (0.0350) loss_seg: 0.0343 (0.0373) loss_lansim: 0.0733 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4292 data: 0.0024 max mem: 31671 Epoch: [33] [1690/5278] eta: 2:26:02 lr: 9.986014951330703e-06 loss: 0.0324 (0.0350) loss_seg: 0.0347 (0.0373) loss_lansim: 0.0740 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4248 data: 0.0024 max mem: 31671 Epoch: [33] [1700/5278] eta: 2:25:38 lr: 9.983465655930782e-06 loss: 0.0324 (0.0350) loss_seg: 0.0344 (0.0374) loss_lansim: 0.0741 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4308 data: 0.0024 max mem: 31671 Epoch: [33] [1710/5278] eta: 2:25:13 lr: 9.980916288199137e-06 loss: 0.0333 (0.0350) loss_seg: 0.0344 (0.0373) loss_lansim: 0.0743 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4322 data: 0.0025 max mem: 31671 Epoch: [33] [1720/5278] eta: 2:24:50 lr: 9.978366848113192e-06 loss: 0.0313 (0.0350) loss_seg: 0.0343 (0.0373) loss_lansim: 0.0742 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4430 data: 0.0025 max mem: 31671 Epoch: [33] [1730/5278] eta: 2:24:23 lr: 9.975817335650343e-06 loss: 0.0312 (0.0350) loss_seg: 0.0340 (0.0373) loss_lansim: 0.0738 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4295 data: 0.0025 max mem: 31671 Epoch: [33] [1740/5278] eta: 2:24:01 lr: 9.973267750787981e-06 loss: 0.0322 (0.0350) loss_seg: 0.0343 (0.0374) loss_lansim: 0.0740 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4292 data: 0.0025 max mem: 31671 Epoch: [33] [1750/5278] eta: 2:23:36 lr: 9.970718093503493e-06 loss: 0.0312 (0.0350) loss_seg: 0.0340 (0.0374) loss_lansim: 0.0741 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4338 data: 0.0024 max mem: 31671 Epoch: [33] [1760/5278] eta: 2:23:11 lr: 9.968168363774242e-06 loss: 0.0312 (0.0350) loss_seg: 0.0336 (0.0374) loss_lansim: 0.0756 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4387 data: 0.0024 max mem: 31671 Epoch: [33] [1770/5278] eta: 2:22:48 lr: 9.965618561577571e-06 loss: 0.0322 (0.0350) loss_seg: 0.0344 (0.0374) loss_lansim: 0.0765 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4427 data: 0.0024 max mem: 31671 Epoch: [33] [1780/5278] eta: 2:22:23 lr: 9.963068686890822e-06 loss: 0.0325 (0.0350) loss_seg: 0.0353 (0.0374) loss_lansim: 0.0774 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4456 data: 0.0024 max mem: 31671 Epoch: [33] [1790/5278] eta: 2:22:00 lr: 9.96051873969132e-06 loss: 0.0322 (0.0350) loss_seg: 0.0344 (0.0374) loss_lansim: 0.0767 (0.0765) loss_contra: 0.0000 (0.0016) time: 2.4541 data: 0.0024 max mem: 31671 Epoch: [33] [1800/5278] eta: 2:21:37 lr: 9.957968719956375e-06 loss: 0.0319 (0.0350) loss_seg: 0.0342 (0.0374) loss_lansim: 0.0751 (0.0764) loss_contra: 0.0000 (0.0017) time: 2.4601 data: 0.0024 max mem: 31671 Epoch: [33] [1810/5278] eta: 2:21:13 lr: 9.95541862766329e-06 loss: 0.0310 (0.0350) loss_seg: 0.0337 (0.0373) loss_lansim: 0.0744 (0.0764) loss_contra: 0.0000 (0.0017) time: 2.4653 data: 0.0024 max mem: 31671 Epoch: [33] [1820/5278] eta: 2:20:49 lr: 9.952868462789334e-06 loss: 0.0310 (0.0350) loss_seg: 0.0337 (0.0373) loss_lansim: 0.0744 (0.0764) loss_contra: 0.0000 (0.0017) time: 2.4619 data: 0.0023 max mem: 31671 Epoch: [33] [1830/5278] eta: 2:20:24 lr: 9.950318225311787e-06 loss: 0.0310 (0.0350) loss_seg: 0.0337 (0.0373) loss_lansim: 0.0758 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4684 data: 0.0023 max mem: 31671 Epoch: [33] [1840/5278] eta: 2:19:58 lr: 9.947767915207901e-06 loss: 0.0309 (0.0350) loss_seg: 0.0328 (0.0374) loss_lansim: 0.0751 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4532 data: 0.0024 max mem: 31671 Epoch: [33] [1850/5278] eta: 2:19:36 lr: 9.945217532454928e-06 loss: 0.0324 (0.0351) loss_seg: 0.0341 (0.0374) loss_lansim: 0.0746 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4642 data: 0.0023 max mem: 31671 Epoch: [33] [1860/5278] eta: 2:19:12 lr: 9.942667077030083e-06 loss: 0.0328 (0.0351) loss_seg: 0.0346 (0.0375) loss_lansim: 0.0751 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4701 data: 0.0023 max mem: 31671 Epoch: [33] [1870/5278] eta: 2:18:47 lr: 9.940116548910588e-06 loss: 0.0324 (0.0351) loss_seg: 0.0331 (0.0374) loss_lansim: 0.0745 (0.0764) loss_contra: 0.0000 (0.0016) time: 2.4642 data: 0.0023 max mem: 31671 Epoch: [33] [1880/5278] eta: 2:18:23 lr: 9.937565948073643e-06 loss: 0.0313 (0.0351) loss_seg: 0.0331 (0.0374) loss_lansim: 0.0730 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4646 data: 0.0024 max mem: 31671 Epoch: [33] [1890/5278] eta: 2:17:58 lr: 9.935015274496444e-06 loss: 0.0325 (0.0351) loss_seg: 0.0341 (0.0375) loss_lansim: 0.0751 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4514 data: 0.0024 max mem: 31671 Epoch: [33] [1900/5278] eta: 2:17:32 lr: 9.932464528156152e-06 loss: 0.0313 (0.0351) loss_seg: 0.0331 (0.0375) loss_lansim: 0.0741 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4390 data: 0.0024 max mem: 31671 Epoch: [33] [1910/5278] eta: 2:17:07 lr: 9.929913709029935e-06 loss: 0.0325 (0.0351) loss_seg: 0.0340 (0.0375) loss_lansim: 0.0753 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4321 data: 0.0024 max mem: 31671 Epoch: [33] [1920/5278] eta: 2:16:42 lr: 9.92736281709494e-06 loss: 0.0325 (0.0351) loss_seg: 0.0340 (0.0375) loss_lansim: 0.0756 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4277 data: 0.0024 max mem: 31671 Epoch: [33] [1930/5278] eta: 2:16:17 lr: 9.924811852328305e-06 loss: 0.0325 (0.0351) loss_seg: 0.0340 (0.0375) loss_lansim: 0.0747 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4260 data: 0.0024 max mem: 31671 Epoch: [33] [1940/5278] eta: 2:15:52 lr: 9.922260814707136e-06 loss: 0.0319 (0.0351) loss_seg: 0.0331 (0.0374) loss_lansim: 0.0747 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4317 data: 0.0024 max mem: 31671 Epoch: [33] [1950/5278] eta: 2:15:29 lr: 9.919709704208548e-06 loss: 0.0319 (0.0351) loss_seg: 0.0340 (0.0374) loss_lansim: 0.0756 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4291 data: 0.0024 max mem: 31671 Epoch: [33] [1960/5278] eta: 2:15:05 lr: 9.917158520809631e-06 loss: 0.0313 (0.0351) loss_seg: 0.0337 (0.0374) loss_lansim: 0.0753 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4290 data: 0.0024 max mem: 31671 Epoch: [33] [1970/5278] eta: 2:14:41 lr: 9.914607264487472e-06 loss: 0.0322 (0.0351) loss_seg: 0.0343 (0.0374) loss_lansim: 0.0747 (0.0763) loss_contra: 0.0000 (0.0017) time: 2.4311 data: 0.0024 max mem: 31671 Epoch: [33] [1980/5278] eta: 2:14:16 lr: 9.912055935219121e-06 loss: 0.0310 (0.0350) loss_seg: 0.0337 (0.0374) loss_lansim: 0.0747 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4308 data: 0.0024 max mem: 31671 Epoch: [33] [1990/5278] eta: 2:13:53 lr: 9.909504532981635e-06 loss: 0.0300 (0.0351) loss_seg: 0.0330 (0.0374) loss_lansim: 0.0738 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4412 data: 0.0024 max mem: 31671 Epoch: [33] [2000/5278] eta: 2:13:28 lr: 9.906953057752051e-06 loss: 0.0317 (0.0351) loss_seg: 0.0342 (0.0374) loss_lansim: 0.0748 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4427 data: 0.0024 max mem: 31671 Epoch: [33] [2010/5278] eta: 2:13:02 lr: 9.9044015095074e-06 loss: 0.0317 (0.0350) loss_seg: 0.0342 (0.0374) loss_lansim: 0.0754 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4408 data: 0.0024 max mem: 31671 Epoch: [33] [2020/5278] eta: 2:12:37 lr: 9.901849888224676e-06 loss: 0.0317 (0.0351) loss_seg: 0.0348 (0.0375) loss_lansim: 0.0753 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4393 data: 0.0024 max mem: 31671 Epoch: [33] [2030/5278] eta: 2:12:14 lr: 9.899298193880885e-06 loss: 0.0317 (0.0351) loss_seg: 0.0343 (0.0374) loss_lansim: 0.0751 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4525 data: 0.0024 max mem: 31671 Epoch: [33] [2040/5278] eta: 2:11:49 lr: 9.896746426453005e-06 loss: 0.0317 (0.0351) loss_seg: 0.0343 (0.0375) loss_lansim: 0.0750 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4489 data: 0.0024 max mem: 31671 Epoch: [33] [2050/5278] eta: 2:11:24 lr: 9.894194585918005e-06 loss: 0.0317 (0.0351) loss_seg: 0.0343 (0.0375) loss_lansim: 0.0738 (0.0763) loss_contra: 0.0000 (0.0016) time: 2.4359 data: 0.0024 max mem: 31671 Epoch: [33] [2060/5278] eta: 2:11:00 lr: 9.891642672252845e-06 loss: 0.0296 (0.0351) loss_seg: 0.0324 (0.0375) loss_lansim: 0.0733 (0.0763) loss_contra: 0.0000 (0.0019) time: 2.4368 data: 0.0024 max mem: 31671 Epoch: [33] [2070/5278] eta: 2:10:36 lr: 9.889090685434454e-06 loss: 0.0289 (0.0351) loss_seg: 0.0311 (0.0375) loss_lansim: 0.0733 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4385 data: 0.0024 max mem: 31671 Epoch: [33] [2080/5278] eta: 2:10:11 lr: 9.886538625439763e-06 loss: 0.0296 (0.0351) loss_seg: 0.0316 (0.0375) loss_lansim: 0.0744 (0.0763) loss_contra: 0.0000 (0.0019) time: 2.4354 data: 0.0024 max mem: 31671 Epoch: [33] [2090/5278] eta: 2:09:47 lr: 9.883986492245685e-06 loss: 0.0296 (0.0351) loss_seg: 0.0316 (0.0375) loss_lansim: 0.0742 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4356 data: 0.0024 max mem: 31671 Epoch: [33] [2100/5278] eta: 2:09:23 lr: 9.881434285829125e-06 loss: 0.0324 (0.0351) loss_seg: 0.0352 (0.0375) loss_lansim: 0.0742 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4411 data: 0.0023 max mem: 31671 Epoch: [33] [2110/5278] eta: 2:08:59 lr: 9.878882006166954e-06 loss: 0.0306 (0.0351) loss_seg: 0.0329 (0.0375) loss_lansim: 0.0742 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4502 data: 0.0023 max mem: 31671 Epoch: [33] [2120/5278] eta: 2:08:34 lr: 9.87632965323605e-06 loss: 0.0308 (0.0351) loss_seg: 0.0329 (0.0375) loss_lansim: 0.0742 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4487 data: 0.0023 max mem: 31671 Epoch: [33] [2130/5278] eta: 2:08:10 lr: 9.87377722701327e-06 loss: 0.0324 (0.0351) loss_seg: 0.0335 (0.0375) loss_lansim: 0.0742 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4423 data: 0.0023 max mem: 31671 Epoch: [33] [2140/5278] eta: 2:07:45 lr: 9.87122472747546e-06 loss: 0.0324 (0.0351) loss_seg: 0.0335 (0.0375) loss_lansim: 0.0739 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4425 data: 0.0023 max mem: 31671 Epoch: [33] [2150/5278] eta: 2:07:21 lr: 9.86867215459944e-06 loss: 0.0308 (0.0351) loss_seg: 0.0329 (0.0375) loss_lansim: 0.0739 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4479 data: 0.0024 max mem: 31671 Epoch: [33] [2160/5278] eta: 2:06:57 lr: 9.866119508362028e-06 loss: 0.0319 (0.0351) loss_seg: 0.0335 (0.0375) loss_lansim: 0.0739 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4548 data: 0.0024 max mem: 31671 Epoch: [33] [2170/5278] eta: 2:06:33 lr: 9.863566788740027e-06 loss: 0.0319 (0.0351) loss_seg: 0.0335 (0.0374) loss_lansim: 0.0740 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4524 data: 0.0024 max mem: 31671 Epoch: [33] [2180/5278] eta: 2:06:08 lr: 9.861013995710228e-06 loss: 0.0319 (0.0351) loss_seg: 0.0335 (0.0374) loss_lansim: 0.0734 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4510 data: 0.0024 max mem: 31671 Epoch: [33] [2190/5278] eta: 2:05:44 lr: 9.858461129249392e-06 loss: 0.0305 (0.0350) loss_seg: 0.0321 (0.0374) loss_lansim: 0.0738 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4459 data: 0.0023 max mem: 31671 Epoch: [33] [2200/5278] eta: 2:05:19 lr: 9.855908189334283e-06 loss: 0.0300 (0.0350) loss_seg: 0.0319 (0.0374) loss_lansim: 0.0731 (0.0762) loss_contra: 0.0000 (0.0019) time: 2.4485 data: 0.0023 max mem: 31671 Epoch: [33] [2210/5278] eta: 2:04:55 lr: 9.853355175941648e-06 loss: 0.0291 (0.0350) loss_seg: 0.0319 (0.0373) loss_lansim: 0.0723 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4430 data: 0.0023 max mem: 31671 Epoch: [33] [2220/5278] eta: 2:04:30 lr: 9.850802089048222e-06 loss: 0.0291 (0.0350) loss_seg: 0.0319 (0.0373) loss_lansim: 0.0723 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4463 data: 0.0023 max mem: 31671 Epoch: [33] [2230/5278] eta: 2:04:05 lr: 9.848248928630709e-06 loss: 0.0291 (0.0350) loss_seg: 0.0315 (0.0373) loss_lansim: 0.0724 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4408 data: 0.0023 max mem: 31671 Epoch: [33] [2240/5278] eta: 2:03:41 lr: 9.845695694665819e-06 loss: 0.0291 (0.0350) loss_seg: 0.0307 (0.0373) loss_lansim: 0.0731 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4462 data: 0.0023 max mem: 31671 Epoch: [33] [2250/5278] eta: 2:03:15 lr: 9.84314238713024e-06 loss: 0.0298 (0.0350) loss_seg: 0.0315 (0.0373) loss_lansim: 0.0734 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4333 data: 0.0023 max mem: 31671 Epoch: [33] [2260/5278] eta: 2:02:50 lr: 9.84058900600065e-06 loss: 0.0305 (0.0350) loss_seg: 0.0322 (0.0373) loss_lansim: 0.0735 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4225 data: 0.0023 max mem: 31671 Epoch: [33] [2270/5278] eta: 2:02:25 lr: 9.838035551253696e-06 loss: 0.0307 (0.0350) loss_seg: 0.0325 (0.0373) loss_lansim: 0.0734 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4191 data: 0.0023 max mem: 31671 Epoch: [33] [2280/5278] eta: 2:02:01 lr: 9.835482022866036e-06 loss: 0.0307 (0.0350) loss_seg: 0.0330 (0.0373) loss_lansim: 0.0738 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4258 data: 0.0023 max mem: 31671 Epoch: [33] [2290/5278] eta: 2:01:36 lr: 9.832928420814296e-06 loss: 0.0324 (0.0350) loss_seg: 0.0354 (0.0373) loss_lansim: 0.0728 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4214 data: 0.0023 max mem: 31671 Epoch: [33] [2300/5278] eta: 2:01:12 lr: 9.830374745075097e-06 loss: 0.0324 (0.0349) loss_seg: 0.0354 (0.0373) loss_lansim: 0.0727 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4206 data: 0.0024 max mem: 31671 Epoch: [33] [2310/5278] eta: 2:00:48 lr: 9.82782099562505e-06 loss: 0.0328 (0.0349) loss_seg: 0.0356 (0.0373) loss_lansim: 0.0734 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4238 data: 0.0024 max mem: 31671 Epoch: [33] [2320/5278] eta: 2:00:25 lr: 9.825267172440726e-06 loss: 0.0323 (0.0349) loss_seg: 0.0340 (0.0372) loss_lansim: 0.0734 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4403 data: 0.0024 max mem: 31671 Epoch: [33] [2330/5278] eta: 2:00:01 lr: 9.82271327549871e-06 loss: 0.0323 (0.0349) loss_seg: 0.0354 (0.0373) loss_lansim: 0.0739 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4410 data: 0.0024 max mem: 31671 Epoch: [33] [2340/5278] eta: 1:59:36 lr: 9.820159304775562e-06 loss: 0.0313 (0.0349) loss_seg: 0.0343 (0.0373) loss_lansim: 0.0727 (0.0761) loss_contra: 0.0000 (0.0019) time: 2.4375 data: 0.0024 max mem: 31671 Epoch: [33] [2350/5278] eta: 1:59:11 lr: 9.817605260247837e-06 loss: 0.0310 (0.0349) loss_seg: 0.0336 (0.0372) loss_lansim: 0.0727 (0.0760) loss_contra: 0.0000 (0.0019) time: 2.4477 data: 0.0024 max mem: 31671 Epoch: [33] [2360/5278] eta: 1:58:47 lr: 9.815051141892052e-06 loss: 0.0311 (0.0349) loss_seg: 0.0340 (0.0373) loss_lansim: 0.0722 (0.0760) loss_contra: 0.0000 (0.0019) time: 2.4486 data: 0.0024 max mem: 31671 Epoch: [33] [2370/5278] eta: 1:58:22 lr: 9.812496949684732e-06 loss: 0.0310 (0.0349) loss_seg: 0.0335 (0.0373) loss_lansim: 0.0723 (0.0760) loss_contra: 0.0000 (0.0019) time: 2.4505 data: 0.0023 max mem: 31671 Epoch: [33] [2380/5278] eta: 1:57:59 lr: 9.809942683602383e-06 loss: 0.0310 (0.0349) loss_seg: 0.0335 (0.0372) loss_lansim: 0.0716 (0.0760) loss_contra: 0.0000 (0.0019) time: 2.4576 data: 0.0023 max mem: 31671 Epoch: [33] [2390/5278] eta: 1:57:34 lr: 9.807388343621498e-06 loss: 0.0301 (0.0349) loss_seg: 0.0325 (0.0372) loss_lansim: 0.0716 (0.0760) loss_contra: 0.0000 (0.0018) time: 2.4597 data: 0.0023 max mem: 31671 Epoch: [33] [2400/5278] eta: 1:57:10 lr: 9.804833929718542e-06 loss: 0.0298 (0.0348) loss_seg: 0.0323 (0.0372) loss_lansim: 0.0716 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4553 data: 0.0024 max mem: 31671 Epoch: [33] [2410/5278] eta: 1:56:45 lr: 9.802279441869982e-06 loss: 0.0298 (0.0348) loss_seg: 0.0321 (0.0372) loss_lansim: 0.0716 (0.0760) loss_contra: 0.0000 (0.0018) time: 2.4487 data: 0.0023 max mem: 31671 Epoch: [33] [2420/5278] eta: 1:56:21 lr: 9.799724880052263e-06 loss: 0.0310 (0.0349) loss_seg: 0.0325 (0.0372) loss_lansim: 0.0723 (0.0760) loss_contra: 0.0000 (0.0018) time: 2.4380 data: 0.0023 max mem: 31671 Epoch: [33] [2430/5278] eta: 1:55:56 lr: 9.797170244241825e-06 loss: 0.0310 (0.0349) loss_seg: 0.0325 (0.0372) loss_lansim: 0.0723 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4386 data: 0.0024 max mem: 31671 Epoch: [33] [2440/5278] eta: 1:55:32 lr: 9.794615534415072e-06 loss: 0.0310 (0.0348) loss_seg: 0.0325 (0.0372) loss_lansim: 0.0730 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4412 data: 0.0024 max mem: 31671 Epoch: [33] [2450/5278] eta: 1:55:08 lr: 9.792060750548415e-06 loss: 0.0313 (0.0349) loss_seg: 0.0327 (0.0372) loss_lansim: 0.0728 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4486 data: 0.0024 max mem: 31671 Epoch: [33] [2460/5278] eta: 1:54:43 lr: 9.789505892618245e-06 loss: 0.0310 (0.0349) loss_seg: 0.0327 (0.0372) loss_lansim: 0.0738 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4500 data: 0.0024 max mem: 31671 Epoch: [33] [2470/5278] eta: 1:54:19 lr: 9.78695096060094e-06 loss: 0.0314 (0.0349) loss_seg: 0.0327 (0.0372) loss_lansim: 0.0729 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4491 data: 0.0024 max mem: 31671 Epoch: [33] [2480/5278] eta: 1:53:55 lr: 9.784395954472851e-06 loss: 0.0298 (0.0349) loss_seg: 0.0319 (0.0372) loss_lansim: 0.0723 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4423 data: 0.0024 max mem: 31671 Epoch: [33] [2490/5278] eta: 1:53:31 lr: 9.781840874210328e-06 loss: 0.0313 (0.0349) loss_seg: 0.0327 (0.0372) loss_lansim: 0.0733 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4502 data: 0.0024 max mem: 31671 Epoch: [33] [2500/5278] eta: 1:53:07 lr: 9.779285719789705e-06 loss: 0.0317 (0.0349) loss_seg: 0.0332 (0.0372) loss_lansim: 0.0738 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4536 data: 0.0024 max mem: 31671 Epoch: [33] [2510/5278] eta: 1:52:42 lr: 9.776730491187304e-06 loss: 0.0333 (0.0349) loss_seg: 0.0348 (0.0372) loss_lansim: 0.0733 (0.0759) loss_contra: 0.0000 (0.0018) time: 2.4581 data: 0.0024 max mem: 31671 Epoch: [33] [2520/5278] eta: 1:52:18 lr: 9.774175188379415e-06 loss: 0.0331 (0.0349) loss_seg: 0.0348 (0.0373) loss_lansim: 0.0728 (0.0758) loss_contra: 0.0000 (0.0019) time: 2.4603 data: 0.0024 max mem: 31671 Epoch: [33] [2530/5278] eta: 1:51:54 lr: 9.771619811342333e-06 loss: 0.0331 (0.0349) loss_seg: 0.0339 (0.0372) loss_lansim: 0.0720 (0.0758) loss_contra: 0.0000 (0.0018) time: 2.4681 data: 0.0024 max mem: 31671 Epoch: [33] [2540/5278] eta: 1:51:30 lr: 9.769064360052333e-06 loss: 0.0335 (0.0350) loss_seg: 0.0348 (0.0373) loss_lansim: 0.0721 (0.0758) loss_contra: 0.0000 (0.0019) time: 2.4718 data: 0.0024 max mem: 31671 Epoch: [33] [2550/5278] eta: 1:51:06 lr: 9.766508834485673e-06 loss: 0.0335 (0.0350) loss_seg: 0.0362 (0.0373) loss_lansim: 0.0734 (0.0758) loss_contra: 0.0000 (0.0018) time: 2.4695 data: 0.0024 max mem: 31671 Epoch: [33] [2560/5278] eta: 1:50:42 lr: 9.763953234618604e-06 loss: 0.0339 (0.0350) loss_seg: 0.0362 (0.0373) loss_lansim: 0.0726 (0.0758) loss_contra: 0.0000 (0.0018) time: 2.4665 data: 0.0024 max mem: 31671 Epoch: [33] [2570/5278] eta: 1:50:16 lr: 9.761397560427348e-06 loss: 0.0339 (0.0351) loss_seg: 0.0362 (0.0374) loss_lansim: 0.0734 (0.0758) loss_contra: 0.0000 (0.0018) time: 2.4619 data: 0.0024 max mem: 31671 Epoch: [33] [2580/5278] eta: 1:49:52 lr: 9.758841811888121e-06 loss: 0.0345 (0.0350) loss_seg: 0.0362 (0.0374) loss_lansim: 0.0732 (0.0758) loss_contra: 0.0000 (0.0019) time: 2.4568 data: 0.0023 max mem: 31671 Epoch: [33] [2590/5278] eta: 1:49:27 lr: 9.756285988977128e-06 loss: 0.0339 (0.0351) loss_seg: 0.0354 (0.0375) loss_lansim: 0.0721 (0.0758) loss_contra: 0.0000 (0.0019) time: 2.4515 data: 0.0023 max mem: 31671 Epoch: [33] [2600/5278] eta: 1:49:04 lr: 9.75373009167056e-06 loss: 0.0335 (0.0351) loss_seg: 0.0354 (0.0374) loss_lansim: 0.0721 (0.0758) loss_contra: 0.0000 (0.0018) time: 2.4606 data: 0.0023 max mem: 31671 Epoch: [33] [2610/5278] eta: 1:48:40 lr: 9.751174119944581e-06 loss: 0.0325 (0.0351) loss_seg: 0.0340 (0.0374) loss_lansim: 0.0719 (0.0758) loss_contra: 0.0000 (0.0018) time: 2.4621 data: 0.0023 max mem: 31671 Epoch: [33] [2620/5278] eta: 1:48:16 lr: 9.748618073775351e-06 loss: 0.0315 (0.0351) loss_seg: 0.0338 (0.0375) loss_lansim: 0.0721 (0.0758) loss_contra: 0.0000 (0.0018) time: 2.4651 data: 0.0023 max mem: 31671 Epoch: [33] [2630/5278] eta: 1:47:51 lr: 9.746061953139013e-06 loss: 0.0315 (0.0351) loss_seg: 0.0338 (0.0374) loss_lansim: 0.0726 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4564 data: 0.0023 max mem: 31671 Epoch: [33] [2640/5278] eta: 1:47:27 lr: 9.743505758011703e-06 loss: 0.0316 (0.0351) loss_seg: 0.0340 (0.0375) loss_lansim: 0.0716 (0.0757) loss_contra: 0.0000 (0.0019) time: 2.4531 data: 0.0023 max mem: 31671 Epoch: [33] [2650/5278] eta: 1:47:03 lr: 9.740949488369525e-06 loss: 0.0315 (0.0351) loss_seg: 0.0340 (0.0374) loss_lansim: 0.0711 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4503 data: 0.0023 max mem: 31671 Epoch: [33] [2660/5278] eta: 1:46:38 lr: 9.73839314418858e-06 loss: 0.0313 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0711 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4499 data: 0.0023 max mem: 31671 Epoch: [33] [2670/5278] eta: 1:46:14 lr: 9.735836725444953e-06 loss: 0.0307 (0.0351) loss_seg: 0.0322 (0.0375) loss_lansim: 0.0707 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4639 data: 0.0023 max mem: 31671 Epoch: [33] [2680/5278] eta: 1:45:50 lr: 9.733280232114723e-06 loss: 0.0307 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0709 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4678 data: 0.0023 max mem: 31671 Epoch: [33] [2690/5278] eta: 1:45:25 lr: 9.730723664173932e-06 loss: 0.0302 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0716 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4638 data: 0.0023 max mem: 31671 Epoch: [33] [2700/5278] eta: 1:45:01 lr: 9.728167021598628e-06 loss: 0.0315 (0.0351) loss_seg: 0.0346 (0.0375) loss_lansim: 0.0718 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4557 data: 0.0023 max mem: 31671 Epoch: [33] [2710/5278] eta: 1:44:37 lr: 9.725610304364833e-06 loss: 0.0321 (0.0351) loss_seg: 0.0352 (0.0375) loss_lansim: 0.0718 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4581 data: 0.0024 max mem: 31671 Epoch: [33] [2720/5278] eta: 1:44:12 lr: 9.723053512448567e-06 loss: 0.0315 (0.0351) loss_seg: 0.0346 (0.0375) loss_lansim: 0.0722 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4519 data: 0.0023 max mem: 31671 Epoch: [33] [2730/5278] eta: 1:43:49 lr: 9.720496645825816e-06 loss: 0.0321 (0.0351) loss_seg: 0.0352 (0.0375) loss_lansim: 0.0723 (0.0757) loss_contra: 0.0000 (0.0018) time: 2.4614 data: 0.0024 max mem: 31671 Epoch: [33] [2740/5278] eta: 1:43:24 lr: 9.717939704472563e-06 loss: 0.0302 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0723 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4571 data: 0.0024 max mem: 31671 Epoch: [33] [2750/5278] eta: 1:42:59 lr: 9.71538268836478e-06 loss: 0.0312 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0724 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4544 data: 0.0024 max mem: 31671 Epoch: [33] [2760/5278] eta: 1:42:34 lr: 9.712825597478423e-06 loss: 0.0320 (0.0352) loss_seg: 0.0343 (0.0376) loss_lansim: 0.0724 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4534 data: 0.0024 max mem: 31671 Epoch: [33] [2770/5278] eta: 1:42:09 lr: 9.710268431789417e-06 loss: 0.0320 (0.0352) loss_seg: 0.0343 (0.0376) loss_lansim: 0.0727 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4402 data: 0.0024 max mem: 31671 Epoch: [33] [2780/5278] eta: 1:41:46 lr: 9.707711191273692e-06 loss: 0.0320 (0.0352) loss_seg: 0.0343 (0.0376) loss_lansim: 0.0729 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4504 data: 0.0024 max mem: 31671 Epoch: [33] [2790/5278] eta: 1:41:22 lr: 9.705153875907155e-06 loss: 0.0323 (0.0352) loss_seg: 0.0354 (0.0376) loss_lansim: 0.0735 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4554 data: 0.0024 max mem: 31671 Epoch: [33] [2800/5278] eta: 1:40:57 lr: 9.7025964856657e-06 loss: 0.0323 (0.0352) loss_seg: 0.0352 (0.0376) loss_lansim: 0.0732 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4508 data: 0.0024 max mem: 31671 Epoch: [33] [2810/5278] eta: 1:40:33 lr: 9.70003902052521e-06 loss: 0.0323 (0.0352) loss_seg: 0.0352 (0.0376) loss_lansim: 0.0729 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4490 data: 0.0023 max mem: 31671 Epoch: [33] [2820/5278] eta: 1:40:08 lr: 9.697481480461538e-06 loss: 0.0323 (0.0352) loss_seg: 0.0352 (0.0376) loss_lansim: 0.0720 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4482 data: 0.0023 max mem: 31671 Epoch: [33] [2830/5278] eta: 1:39:45 lr: 9.694923865450537e-06 loss: 0.0331 (0.0353) loss_seg: 0.0360 (0.0377) loss_lansim: 0.0720 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4556 data: 0.0023 max mem: 31671 Epoch: [33] [2840/5278] eta: 1:39:21 lr: 9.692366175468043e-06 loss: 0.0351 (0.0352) loss_seg: 0.0385 (0.0377) loss_lansim: 0.0715 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4608 data: 0.0023 max mem: 31671 Epoch: [33] [2850/5278] eta: 1:38:56 lr: 9.689808410489876e-06 loss: 0.0337 (0.0352) loss_seg: 0.0363 (0.0376) loss_lansim: 0.0720 (0.0756) loss_contra: 0.0000 (0.0018) time: 2.4591 data: 0.0023 max mem: 31671 Epoch: [33] [2860/5278] eta: 1:38:32 lr: 9.687250570491834e-06 loss: 0.0326 (0.0352) loss_seg: 0.0354 (0.0376) loss_lansim: 0.0717 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4652 data: 0.0023 max mem: 31671 Epoch: [33] [2870/5278] eta: 1:38:08 lr: 9.684692655449711e-06 loss: 0.0337 (0.0352) loss_seg: 0.0356 (0.0376) loss_lansim: 0.0715 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4757 data: 0.0023 max mem: 31671 Epoch: [33] [2880/5278] eta: 1:37:43 lr: 9.682134665339276e-06 loss: 0.0337 (0.0352) loss_seg: 0.0368 (0.0376) loss_lansim: 0.0717 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4589 data: 0.0023 max mem: 31671 Epoch: [33] [2890/5278] eta: 1:37:18 lr: 9.6795766001363e-06 loss: 0.0325 (0.0352) loss_seg: 0.0343 (0.0376) loss_lansim: 0.0715 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4568 data: 0.0022 max mem: 31671 Epoch: [33] [2900/5278] eta: 1:36:55 lr: 9.677018459816511e-06 loss: 0.0325 (0.0352) loss_seg: 0.0343 (0.0376) loss_lansim: 0.0715 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4702 data: 0.0022 max mem: 31671 Epoch: [33] [2910/5278] eta: 1:36:30 lr: 9.674460244355647e-06 loss: 0.0325 (0.0352) loss_seg: 0.0343 (0.0376) loss_lansim: 0.0717 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4676 data: 0.0022 max mem: 31671 Epoch: [33] [2920/5278] eta: 1:36:05 lr: 9.671901953729421e-06 loss: 0.0321 (0.0352) loss_seg: 0.0342 (0.0376) loss_lansim: 0.0726 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4594 data: 0.0022 max mem: 31671 Epoch: [33] [2930/5278] eta: 1:35:41 lr: 9.66934358791354e-06 loss: 0.0306 (0.0352) loss_seg: 0.0329 (0.0376) loss_lansim: 0.0727 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4456 data: 0.0022 max mem: 31671 Epoch: [33] [2940/5278] eta: 1:35:17 lr: 9.666785146883673e-06 loss: 0.0308 (0.0352) loss_seg: 0.0332 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4497 data: 0.0022 max mem: 31671 Epoch: [33] [2950/5278] eta: 1:34:52 lr: 9.664226630615498e-06 loss: 0.0318 (0.0351) loss_seg: 0.0337 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4534 data: 0.0022 max mem: 31671 Epoch: [33] [2960/5278] eta: 1:34:28 lr: 9.661668039084669e-06 loss: 0.0306 (0.0351) loss_seg: 0.0329 (0.0375) loss_lansim: 0.0752 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4548 data: 0.0023 max mem: 31671 Epoch: [33] [2970/5278] eta: 1:34:03 lr: 9.659109372266832e-06 loss: 0.0301 (0.0351) loss_seg: 0.0329 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4455 data: 0.0023 max mem: 31671 Epoch: [33] [2980/5278] eta: 1:33:38 lr: 9.656550630137594e-06 loss: 0.0299 (0.0351) loss_seg: 0.0327 (0.0375) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4499 data: 0.0023 max mem: 31671 Epoch: [33] [2990/5278] eta: 1:33:14 lr: 9.653991812672578e-06 loss: 0.0293 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4450 data: 0.0023 max mem: 31671 Epoch: [33] [3000/5278] eta: 1:32:49 lr: 9.651432919847372e-06 loss: 0.0296 (0.0351) loss_seg: 0.0326 (0.0375) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4334 data: 0.0023 max mem: 31671 Epoch: [33] [3010/5278] eta: 1:32:25 lr: 9.648873951637564e-06 loss: 0.0284 (0.0351) loss_seg: 0.0306 (0.0375) loss_lansim: 0.0717 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4378 data: 0.0023 max mem: 31671 Epoch: [33] [3020/5278] eta: 1:32:00 lr: 9.646314908018702e-06 loss: 0.0290 (0.0351) loss_seg: 0.0310 (0.0375) loss_lansim: 0.0725 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4393 data: 0.0023 max mem: 31671 Epoch: [33] [3030/5278] eta: 1:31:36 lr: 9.643755788966346e-06 loss: 0.0293 (0.0351) loss_seg: 0.0310 (0.0375) loss_lansim: 0.0714 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4400 data: 0.0023 max mem: 31671 Epoch: [33] [3040/5278] eta: 1:31:12 lr: 9.641196594456028e-06 loss: 0.0288 (0.0351) loss_seg: 0.0302 (0.0375) loss_lansim: 0.0714 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4400 data: 0.0023 max mem: 31671 Epoch: [33] [3050/5278] eta: 1:30:48 lr: 9.638637324463262e-06 loss: 0.0296 (0.0351) loss_seg: 0.0310 (0.0375) loss_lansim: 0.0711 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4504 data: 0.0023 max mem: 31671 Epoch: [33] [3060/5278] eta: 1:30:24 lr: 9.636077978963561e-06 loss: 0.0301 (0.0351) loss_seg: 0.0317 (0.0375) loss_lansim: 0.0714 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4531 data: 0.0023 max mem: 31671 Epoch: [33] [3070/5278] eta: 1:29:59 lr: 9.633518557932402e-06 loss: 0.0308 (0.0351) loss_seg: 0.0326 (0.0375) loss_lansim: 0.0716 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4533 data: 0.0023 max mem: 31671 Epoch: [33] [3080/5278] eta: 1:29:35 lr: 9.630959061345261e-06 loss: 0.0316 (0.0352) loss_seg: 0.0339 (0.0376) loss_lansim: 0.0735 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4565 data: 0.0023 max mem: 31671 Epoch: [33] [3090/5278] eta: 1:29:11 lr: 9.628399489177598e-06 loss: 0.0320 (0.0352) loss_seg: 0.0342 (0.0376) loss_lansim: 0.0730 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4682 data: 0.0023 max mem: 31671 Epoch: [33] [3100/5278] eta: 1:28:46 lr: 9.62583984140486e-06 loss: 0.0320 (0.0351) loss_seg: 0.0342 (0.0375) loss_lansim: 0.0737 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4604 data: 0.0022 max mem: 31671 Epoch: [33] [3110/5278] eta: 1:28:21 lr: 9.623280118002462e-06 loss: 0.0341 (0.0352) loss_seg: 0.0369 (0.0376) loss_lansim: 0.0738 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4565 data: 0.0022 max mem: 31671 Epoch: [33] [3120/5278] eta: 1:27:57 lr: 9.620720318945822e-06 loss: 0.0325 (0.0352) loss_seg: 0.0354 (0.0376) loss_lansim: 0.0738 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4643 data: 0.0022 max mem: 31671 Epoch: [33] [3130/5278] eta: 1:27:32 lr: 9.618160444210338e-06 loss: 0.0316 (0.0351) loss_seg: 0.0337 (0.0375) loss_lansim: 0.0746 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4626 data: 0.0022 max mem: 31671 Epoch: [33] [3140/5278] eta: 1:27:08 lr: 9.615600493771394e-06 loss: 0.0323 (0.0351) loss_seg: 0.0342 (0.0375) loss_lansim: 0.0748 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4597 data: 0.0022 max mem: 31671 Epoch: [33] [3150/5278] eta: 1:26:44 lr: 9.61304046760435e-06 loss: 0.0307 (0.0351) loss_seg: 0.0326 (0.0375) loss_lansim: 0.0744 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4548 data: 0.0022 max mem: 31671 Epoch: [33] [3160/5278] eta: 1:26:20 lr: 9.610480365684556e-06 loss: 0.0303 (0.0351) loss_seg: 0.0326 (0.0375) loss_lansim: 0.0744 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4545 data: 0.0023 max mem: 31671 Epoch: [33] [3170/5278] eta: 1:25:55 lr: 9.607920187987351e-06 loss: 0.0316 (0.0351) loss_seg: 0.0337 (0.0375) loss_lansim: 0.0740 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4554 data: 0.0022 max mem: 31671 Epoch: [33] [3180/5278] eta: 1:25:31 lr: 9.60535993448806e-06 loss: 0.0303 (0.0351) loss_seg: 0.0326 (0.0375) loss_lansim: 0.0747 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4557 data: 0.0023 max mem: 31671 Epoch: [33] [3190/5278] eta: 1:25:06 lr: 9.602799605161979e-06 loss: 0.0312 (0.0351) loss_seg: 0.0333 (0.0375) loss_lansim: 0.0744 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4449 data: 0.0023 max mem: 31671 Epoch: [33] [3200/5278] eta: 1:24:42 lr: 9.600239199984398e-06 loss: 0.0324 (0.0351) loss_seg: 0.0335 (0.0375) loss_lansim: 0.0739 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4553 data: 0.0023 max mem: 31671 Epoch: [33] [3210/5278] eta: 1:24:18 lr: 9.597678718930594e-06 loss: 0.0312 (0.0352) loss_seg: 0.0334 (0.0376) loss_lansim: 0.0740 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4576 data: 0.0023 max mem: 31671 Epoch: [33] [3220/5278] eta: 1:23:53 lr: 9.595118161975834e-06 loss: 0.0311 (0.0351) loss_seg: 0.0333 (0.0375) loss_lansim: 0.0739 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4573 data: 0.0023 max mem: 31671 Epoch: [33] [3230/5278] eta: 1:23:29 lr: 9.592557529095344e-06 loss: 0.0312 (0.0351) loss_seg: 0.0334 (0.0375) loss_lansim: 0.0734 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4614 data: 0.0023 max mem: 31671 Epoch: [33] [3240/5278] eta: 1:23:04 lr: 9.58999682026436e-06 loss: 0.0305 (0.0351) loss_seg: 0.0332 (0.0375) loss_lansim: 0.0734 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4560 data: 0.0023 max mem: 31671 Epoch: [33] [3250/5278] eta: 1:22:40 lr: 9.587436035458096e-06 loss: 0.0312 (0.0351) loss_seg: 0.0335 (0.0375) loss_lansim: 0.0740 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4529 data: 0.0023 max mem: 31671 Epoch: [33] [3260/5278] eta: 1:22:16 lr: 9.584875174651753e-06 loss: 0.0318 (0.0351) loss_seg: 0.0341 (0.0375) loss_lansim: 0.0740 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4499 data: 0.0023 max mem: 31671 Epoch: [33] [3270/5278] eta: 1:21:51 lr: 9.582314237820502e-06 loss: 0.0312 (0.0351) loss_seg: 0.0334 (0.0375) loss_lansim: 0.0752 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4567 data: 0.0023 max mem: 31671 Epoch: [33] [3280/5278] eta: 1:21:26 lr: 9.579753224939512e-06 loss: 0.0312 (0.0351) loss_seg: 0.0333 (0.0375) loss_lansim: 0.0755 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4474 data: 0.0024 max mem: 31671 Epoch: [33] [3290/5278] eta: 1:21:02 lr: 9.577192135983937e-06 loss: 0.0312 (0.0352) loss_seg: 0.0333 (0.0376) loss_lansim: 0.0758 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4484 data: 0.0024 max mem: 31671 Epoch: [33] [3300/5278] eta: 1:20:38 lr: 9.574630970928909e-06 loss: 0.0311 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0750 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4509 data: 0.0024 max mem: 31671 Epoch: [33] [3310/5278] eta: 1:20:13 lr: 9.572069729749555e-06 loss: 0.0293 (0.0351) loss_seg: 0.0314 (0.0375) loss_lansim: 0.0750 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4394 data: 0.0025 max mem: 31671 Epoch: [33] [3320/5278] eta: 1:19:48 lr: 9.569508412420968e-06 loss: 0.0312 (0.0351) loss_seg: 0.0331 (0.0375) loss_lansim: 0.0765 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4401 data: 0.0024 max mem: 31671 Epoch: [33] [3330/5278] eta: 1:19:23 lr: 9.56694701891824e-06 loss: 0.0313 (0.0351) loss_seg: 0.0337 (0.0375) loss_lansim: 0.0751 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4306 data: 0.0024 max mem: 31671 Epoch: [33] [3340/5278] eta: 1:18:59 lr: 9.564385549216446e-06 loss: 0.0320 (0.0351) loss_seg: 0.0341 (0.0375) loss_lansim: 0.0750 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4345 data: 0.0024 max mem: 31671 Epoch: [33] [3350/5278] eta: 1:18:34 lr: 9.561824003290646e-06 loss: 0.0314 (0.0351) loss_seg: 0.0339 (0.0375) loss_lansim: 0.0750 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4307 data: 0.0024 max mem: 31671 Epoch: [33] [3360/5278] eta: 1:18:10 lr: 9.559262381115874e-06 loss: 0.0311 (0.0351) loss_seg: 0.0327 (0.0375) loss_lansim: 0.0751 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4336 data: 0.0024 max mem: 31671 Epoch: [33] [3370/5278] eta: 1:17:46 lr: 9.556700682667157e-06 loss: 0.0306 (0.0351) loss_seg: 0.0319 (0.0375) loss_lansim: 0.0751 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4405 data: 0.0024 max mem: 31671 Epoch: [33] [3380/5278] eta: 1:17:22 lr: 9.554138907919511e-06 loss: 0.0307 (0.0351) loss_seg: 0.0327 (0.0375) loss_lansim: 0.0751 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4492 data: 0.0024 max mem: 31671 Epoch: [33] [3390/5278] eta: 1:16:57 lr: 9.551577056847932e-06 loss: 0.0306 (0.0351) loss_seg: 0.0327 (0.0375) loss_lansim: 0.0752 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4467 data: 0.0024 max mem: 31671 Epoch: [33] [3400/5278] eta: 1:16:33 lr: 9.54901512942739e-06 loss: 0.0321 (0.0351) loss_seg: 0.0339 (0.0375) loss_lansim: 0.0762 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4388 data: 0.0024 max mem: 31671 Epoch: [33] [3410/5278] eta: 1:16:08 lr: 9.546453125632854e-06 loss: 0.0316 (0.0351) loss_seg: 0.0337 (0.0375) loss_lansim: 0.0757 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4524 data: 0.0023 max mem: 31671 Epoch: [33] [3420/5278] eta: 1:15:44 lr: 9.543891045439271e-06 loss: 0.0331 (0.0351) loss_seg: 0.0351 (0.0375) loss_lansim: 0.0757 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4472 data: 0.0023 max mem: 31671 Epoch: [33] [3430/5278] eta: 1:15:20 lr: 9.541328888821578e-06 loss: 0.0322 (0.0351) loss_seg: 0.0347 (0.0375) loss_lansim: 0.0759 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4607 data: 0.0023 max mem: 31671 Epoch: [33] [3440/5278] eta: 1:14:56 lr: 9.53876665575468e-06 loss: 0.0331 (0.0351) loss_seg: 0.0356 (0.0375) loss_lansim: 0.0762 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4686 data: 0.0023 max mem: 31671 Epoch: [33] [3450/5278] eta: 1:14:31 lr: 9.536204346213487e-06 loss: 0.0331 (0.0351) loss_seg: 0.0361 (0.0375) loss_lansim: 0.0764 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4714 data: 0.0023 max mem: 31671 Epoch: [33] [3460/5278] eta: 1:14:07 lr: 9.53364196017288e-06 loss: 0.0348 (0.0351) loss_seg: 0.0373 (0.0375) loss_lansim: 0.0762 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4670 data: 0.0023 max mem: 31671 Epoch: [33] [3470/5278] eta: 1:13:42 lr: 9.531079497607735e-06 loss: 0.0339 (0.0351) loss_seg: 0.0361 (0.0375) loss_lansim: 0.0757 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4531 data: 0.0023 max mem: 31671 Epoch: [33] [3480/5278] eta: 1:13:18 lr: 9.528516958492894e-06 loss: 0.0344 (0.0351) loss_seg: 0.0361 (0.0375) loss_lansim: 0.0755 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4588 data: 0.0023 max mem: 31671 Epoch: [33] [3490/5278] eta: 1:12:54 lr: 9.525954342803201e-06 loss: 0.0347 (0.0351) loss_seg: 0.0373 (0.0375) loss_lansim: 0.0753 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4682 data: 0.0023 max mem: 31671 Epoch: [33] [3500/5278] eta: 1:12:30 lr: 9.523391650513477e-06 loss: 0.0328 (0.0351) loss_seg: 0.0354 (0.0375) loss_lansim: 0.0749 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4820 data: 0.0023 max mem: 31671 Epoch: [33] [3510/5278] eta: 1:12:05 lr: 9.520828881598534e-06 loss: 0.0339 (0.0351) loss_seg: 0.0361 (0.0375) loss_lansim: 0.0749 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4745 data: 0.0023 max mem: 31671 Epoch: [33] [3520/5278] eta: 1:11:41 lr: 9.518266036033151e-06 loss: 0.0320 (0.0351) loss_seg: 0.0345 (0.0375) loss_lansim: 0.0746 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4816 data: 0.0023 max mem: 31671 Epoch: [33] [3530/5278] eta: 1:11:17 lr: 9.515703113792106e-06 loss: 0.0328 (0.0351) loss_seg: 0.0348 (0.0375) loss_lansim: 0.0746 (0.0755) loss_contra: 0.0001 (0.0017) time: 2.4782 data: 0.0023 max mem: 31671 Epoch: [33] [3540/5278] eta: 1:10:52 lr: 9.513140114850161e-06 loss: 0.0322 (0.0351) loss_seg: 0.0348 (0.0375) loss_lansim: 0.0731 (0.0755) loss_contra: 0.0001 (0.0017) time: 2.4694 data: 0.0023 max mem: 31671 Epoch: [33] [3550/5278] eta: 1:10:28 lr: 9.510577039182056e-06 loss: 0.0322 (0.0351) loss_seg: 0.0350 (0.0375) loss_lansim: 0.0731 (0.0755) loss_contra: 0.0001 (0.0017) time: 2.4660 data: 0.0023 max mem: 31671 Epoch: [33] [3560/5278] eta: 1:10:03 lr: 9.508013886762525e-06 loss: 0.0323 (0.0351) loss_seg: 0.0351 (0.0376) loss_lansim: 0.0728 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4696 data: 0.0023 max mem: 31671 Epoch: [33] [3570/5278] eta: 1:09:39 lr: 9.505450657566265e-06 loss: 0.0328 (0.0351) loss_seg: 0.0353 (0.0376) loss_lansim: 0.0731 (0.0755) loss_contra: 0.0001 (0.0017) time: 2.4776 data: 0.0023 max mem: 31671 Epoch: [33] [3580/5278] eta: 1:09:15 lr: 9.50288735156798e-06 loss: 0.0328 (0.0352) loss_seg: 0.0354 (0.0376) loss_lansim: 0.0728 (0.0755) loss_contra: 0.0001 (0.0017) time: 2.4714 data: 0.0023 max mem: 31671 Epoch: [33] [3590/5278] eta: 1:08:50 lr: 9.500323968742348e-06 loss: 0.0320 (0.0351) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0727 (0.0755) loss_contra: 0.0001 (0.0017) time: 2.4706 data: 0.0024 max mem: 31671 Epoch: [33] [3600/5278] eta: 1:08:26 lr: 9.497760509064036e-06 loss: 0.0339 (0.0352) loss_seg: 0.0363 (0.0376) loss_lansim: 0.0732 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4595 data: 0.0024 max mem: 31671 Epoch: [33] [3610/5278] eta: 1:08:01 lr: 9.495196972507684e-06 loss: 0.0323 (0.0352) loss_seg: 0.0353 (0.0376) loss_lansim: 0.0733 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4578 data: 0.0023 max mem: 31671 Epoch: [33] [3620/5278] eta: 1:07:37 lr: 9.492633359047922e-06 loss: 0.0337 (0.0352) loss_seg: 0.0363 (0.0376) loss_lansim: 0.0733 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4538 data: 0.0024 max mem: 31671 Epoch: [33] [3630/5278] eta: 1:07:12 lr: 9.49006966865937e-06 loss: 0.0325 (0.0351) loss_seg: 0.0357 (0.0376) loss_lansim: 0.0731 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4484 data: 0.0024 max mem: 31671 Epoch: [33] [3640/5278] eta: 1:06:48 lr: 9.487505901316631e-06 loss: 0.0313 (0.0351) loss_seg: 0.0343 (0.0375) loss_lansim: 0.0744 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4508 data: 0.0024 max mem: 31671 Epoch: [33] [3650/5278] eta: 1:06:23 lr: 9.484942056994278e-06 loss: 0.0299 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0733 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4521 data: 0.0024 max mem: 31671 Epoch: [33] [3660/5278] eta: 1:05:59 lr: 9.482378135666884e-06 loss: 0.0296 (0.0351) loss_seg: 0.0318 (0.0375) loss_lansim: 0.0733 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4434 data: 0.0024 max mem: 31671 Epoch: [33] [3670/5278] eta: 1:05:34 lr: 9.479814137308998e-06 loss: 0.0313 (0.0351) loss_seg: 0.0343 (0.0375) loss_lansim: 0.0730 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4363 data: 0.0024 max mem: 31671 Epoch: [33] [3680/5278] eta: 1:05:10 lr: 9.477250061895164e-06 loss: 0.0296 (0.0351) loss_seg: 0.0318 (0.0375) loss_lansim: 0.0730 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4396 data: 0.0024 max mem: 31671 Epoch: [33] [3690/5278] eta: 1:04:45 lr: 9.474685909399887e-06 loss: 0.0299 (0.0351) loss_seg: 0.0327 (0.0375) loss_lansim: 0.0730 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4396 data: 0.0024 max mem: 31671 Epoch: [33] [3700/5278] eta: 1:04:21 lr: 9.472121679797674e-06 loss: 0.0290 (0.0351) loss_seg: 0.0315 (0.0375) loss_lansim: 0.0728 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4470 data: 0.0024 max mem: 31671 Epoch: [33] [3710/5278] eta: 1:03:56 lr: 9.469557373063014e-06 loss: 0.0296 (0.0351) loss_seg: 0.0317 (0.0375) loss_lansim: 0.0727 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4473 data: 0.0024 max mem: 31671 Epoch: [33] [3720/5278] eta: 1:03:32 lr: 9.466992989170386e-06 loss: 0.0296 (0.0351) loss_seg: 0.0317 (0.0375) loss_lansim: 0.0761 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4470 data: 0.0024 max mem: 31671 Epoch: [33] [3730/5278] eta: 1:03:07 lr: 9.464428528094226e-06 loss: 0.0299 (0.0351) loss_seg: 0.0326 (0.0375) loss_lansim: 0.0761 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4506 data: 0.0024 max mem: 31671 Epoch: [33] [3740/5278] eta: 1:02:43 lr: 9.461863989808986e-06 loss: 0.0299 (0.0351) loss_seg: 0.0326 (0.0375) loss_lansim: 0.0752 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4446 data: 0.0024 max mem: 31671 Epoch: [33] [3750/5278] eta: 1:02:18 lr: 9.459299374289082e-06 loss: 0.0304 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0752 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4469 data: 0.0024 max mem: 31671 Epoch: [33] [3760/5278] eta: 1:01:54 lr: 9.456734681508928e-06 loss: 0.0300 (0.0351) loss_seg: 0.0325 (0.0375) loss_lansim: 0.0761 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4514 data: 0.0023 max mem: 31671 Epoch: [33] [3770/5278] eta: 1:01:29 lr: 9.454169911442903e-06 loss: 0.0300 (0.0351) loss_seg: 0.0325 (0.0375) loss_lansim: 0.0764 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4521 data: 0.0024 max mem: 31671 Epoch: [33] [3780/5278] eta: 1:01:05 lr: 9.451605064065386e-06 loss: 0.0304 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0771 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4476 data: 0.0024 max mem: 31671 Epoch: [33] [3790/5278] eta: 1:00:40 lr: 9.449040139350733e-06 loss: 0.0304 (0.0351) loss_seg: 0.0324 (0.0375) loss_lansim: 0.0761 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4421 data: 0.0024 max mem: 31671 Epoch: [33] [3800/5278] eta: 1:00:16 lr: 9.446475137273287e-06 loss: 0.0337 (0.0351) loss_seg: 0.0341 (0.0376) loss_lansim: 0.0771 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4324 data: 0.0024 max mem: 31671 Epoch: [33] [3810/5278] eta: 0:59:51 lr: 9.443910057807376e-06 loss: 0.0351 (0.0352) loss_seg: 0.0343 (0.0376) loss_lansim: 0.0771 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4338 data: 0.0024 max mem: 31671 Epoch: [33] [3820/5278] eta: 0:59:27 lr: 9.441344900927298e-06 loss: 0.0351 (0.0352) loss_seg: 0.0342 (0.0376) loss_lansim: 0.0764 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4387 data: 0.0024 max mem: 31671 Epoch: [33] [3830/5278] eta: 0:59:02 lr: 9.438779666607353e-06 loss: 0.0351 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0759 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4378 data: 0.0024 max mem: 31671 Epoch: [33] [3840/5278] eta: 0:58:38 lr: 9.436214354821815e-06 loss: 0.0352 (0.0352) loss_seg: 0.0376 (0.0377) loss_lansim: 0.0759 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4490 data: 0.0024 max mem: 31671 Epoch: [33] [3850/5278] eta: 0:58:14 lr: 9.43364896554495e-06 loss: 0.0352 (0.0352) loss_seg: 0.0376 (0.0376) loss_lansim: 0.0753 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4521 data: 0.0024 max mem: 31671 Epoch: [33] [3860/5278] eta: 0:57:49 lr: 9.43108349875099e-06 loss: 0.0351 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0749 (0.0755) loss_contra: 0.0000 (0.0016) time: 2.4502 data: 0.0024 max mem: 31671 Epoch: [33] [3870/5278] eta: 0:57:25 lr: 9.42851795441417e-06 loss: 0.0343 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0746 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4521 data: 0.0024 max mem: 31671 Epoch: [33] [3880/5278] eta: 0:57:00 lr: 9.425952332508695e-06 loss: 0.0329 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0738 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4472 data: 0.0024 max mem: 31671 Epoch: [33] [3890/5278] eta: 0:56:36 lr: 9.423386633008769e-06 loss: 0.0335 (0.0352) loss_seg: 0.0362 (0.0376) loss_lansim: 0.0738 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4478 data: 0.0024 max mem: 31671 Epoch: [33] [3900/5278] eta: 0:56:11 lr: 9.420820855888557e-06 loss: 0.0329 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0731 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4469 data: 0.0024 max mem: 31671 Epoch: [33] [3910/5278] eta: 0:55:46 lr: 9.418255001122225e-06 loss: 0.0315 (0.0352) loss_seg: 0.0337 (0.0376) loss_lansim: 0.0731 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4455 data: 0.0024 max mem: 31671 Epoch: [33] [3920/5278] eta: 0:55:22 lr: 9.415689068683922e-06 loss: 0.0324 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0744 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4330 data: 0.0024 max mem: 31671 Epoch: [33] [3930/5278] eta: 0:54:57 lr: 9.413123058547779e-06 loss: 0.0324 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4304 data: 0.0024 max mem: 31671 Epoch: [33] [3940/5278] eta: 0:54:33 lr: 9.410556970687898e-06 loss: 0.0323 (0.0352) loss_seg: 0.0344 (0.0376) loss_lansim: 0.0735 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4224 data: 0.0024 max mem: 31671 Epoch: [33] [3950/5278] eta: 0:54:08 lr: 9.407990805078378e-06 loss: 0.0328 (0.0352) loss_seg: 0.0355 (0.0377) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4202 data: 0.0024 max mem: 31671 Epoch: [33] [3960/5278] eta: 0:53:44 lr: 9.405424561693301e-06 loss: 0.0335 (0.0352) loss_seg: 0.0360 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4176 data: 0.0024 max mem: 31671 Epoch: [33] [3970/5278] eta: 0:53:19 lr: 9.402858240506736e-06 loss: 0.0324 (0.0352) loss_seg: 0.0355 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4206 data: 0.0024 max mem: 31671 Epoch: [33] [3980/5278] eta: 0:52:55 lr: 9.400291841492714e-06 loss: 0.0305 (0.0352) loss_seg: 0.0334 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4295 data: 0.0024 max mem: 31671 Epoch: [33] [3990/5278] eta: 0:52:31 lr: 9.397725364625273e-06 loss: 0.0323 (0.0352) loss_seg: 0.0334 (0.0376) loss_lansim: 0.0740 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4336 data: 0.0024 max mem: 31671 Epoch: [33] [4000/5278] eta: 0:52:06 lr: 9.395158809878426e-06 loss: 0.0328 (0.0352) loss_seg: 0.0345 (0.0377) loss_lansim: 0.0740 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4353 data: 0.0023 max mem: 31671 Epoch: [33] [4010/5278] eta: 0:51:42 lr: 9.392592177226173e-06 loss: 0.0330 (0.0352) loss_seg: 0.0360 (0.0376) loss_lansim: 0.0724 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4464 data: 0.0023 max mem: 31671 Epoch: [33] [4020/5278] eta: 0:51:17 lr: 9.390025466642484e-06 loss: 0.0328 (0.0352) loss_seg: 0.0356 (0.0376) loss_lansim: 0.0725 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4485 data: 0.0023 max mem: 31671 Epoch: [33] [4030/5278] eta: 0:50:53 lr: 9.387458678101328e-06 loss: 0.0328 (0.0352) loss_seg: 0.0356 (0.0376) loss_lansim: 0.0726 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4525 data: 0.0023 max mem: 31671 Epoch: [33] [4040/5278] eta: 0:50:28 lr: 9.384891811576652e-06 loss: 0.0329 (0.0352) loss_seg: 0.0359 (0.0377) loss_lansim: 0.0726 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4563 data: 0.0023 max mem: 31671 Epoch: [33] [4050/5278] eta: 0:50:04 lr: 9.382324867042385e-06 loss: 0.0328 (0.0352) loss_seg: 0.0334 (0.0377) loss_lansim: 0.0726 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4581 data: 0.0023 max mem: 31671 Epoch: [33] [4060/5278] eta: 0:49:40 lr: 9.379757844472448e-06 loss: 0.0329 (0.0352) loss_seg: 0.0335 (0.0377) loss_lansim: 0.0725 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4650 data: 0.0023 max mem: 31671 Epoch: [33] [4070/5278] eta: 0:49:15 lr: 9.377190743840724e-06 loss: 0.0334 (0.0352) loss_seg: 0.0360 (0.0377) loss_lansim: 0.0726 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4588 data: 0.0023 max mem: 31671 Epoch: [33] [4080/5278] eta: 0:48:51 lr: 9.3746235651211e-06 loss: 0.0342 (0.0352) loss_seg: 0.0362 (0.0377) loss_lansim: 0.0725 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4612 data: 0.0023 max mem: 31671 Epoch: [33] [4090/5278] eta: 0:48:27 lr: 9.37205630828744e-06 loss: 0.0333 (0.0352) loss_seg: 0.0360 (0.0377) loss_lansim: 0.0725 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4664 data: 0.0023 max mem: 31671 Epoch: [33] [4100/5278] eta: 0:48:02 lr: 9.369488973313596e-06 loss: 0.0335 (0.0353) loss_seg: 0.0360 (0.0377) loss_lansim: 0.0722 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4630 data: 0.0023 max mem: 31671 Epoch: [33] [4110/5278] eta: 0:47:38 lr: 9.366921560173385e-06 loss: 0.0335 (0.0352) loss_seg: 0.0356 (0.0377) loss_lansim: 0.0733 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4610 data: 0.0024 max mem: 31671 Epoch: [33] [4120/5278] eta: 0:47:13 lr: 9.364354068840626e-06 loss: 0.0333 (0.0352) loss_seg: 0.0352 (0.0377) loss_lansim: 0.0725 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4623 data: 0.0024 max mem: 31671 Epoch: [33] [4130/5278] eta: 0:46:49 lr: 9.361786499289118e-06 loss: 0.0336 (0.0353) loss_seg: 0.0356 (0.0377) loss_lansim: 0.0721 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4634 data: 0.0024 max mem: 31671 Epoch: [33] [4140/5278] eta: 0:46:24 lr: 9.359218851492646e-06 loss: 0.0342 (0.0353) loss_seg: 0.0356 (0.0377) loss_lansim: 0.0722 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4668 data: 0.0024 max mem: 31671 Epoch: [33] [4150/5278] eta: 0:46:00 lr: 9.356651125424958e-06 loss: 0.0342 (0.0353) loss_seg: 0.0359 (0.0377) loss_lansim: 0.0725 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4560 data: 0.0024 max mem: 31671 Epoch: [33] [4160/5278] eta: 0:45:35 lr: 9.35408332105981e-06 loss: 0.0335 (0.0352) loss_seg: 0.0352 (0.0377) loss_lansim: 0.0725 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4511 data: 0.0024 max mem: 31671 Epoch: [33] [4170/5278] eta: 0:45:11 lr: 9.351515438370929e-06 loss: 0.0319 (0.0352) loss_seg: 0.0335 (0.0377) loss_lansim: 0.0736 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4530 data: 0.0024 max mem: 31671 Epoch: [33] [4180/5278] eta: 0:44:46 lr: 9.348947477332034e-06 loss: 0.0313 (0.0352) loss_seg: 0.0333 (0.0377) loss_lansim: 0.0739 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4435 data: 0.0024 max mem: 31671 Epoch: [33] [4190/5278] eta: 0:44:21 lr: 9.34637943791681e-06 loss: 0.0310 (0.0352) loss_seg: 0.0333 (0.0377) loss_lansim: 0.0739 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4306 data: 0.0024 max mem: 31671 Epoch: [33] [4200/5278] eta: 0:43:57 lr: 9.343811320098937e-06 loss: 0.0306 (0.0352) loss_seg: 0.0327 (0.0377) loss_lansim: 0.0741 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4288 data: 0.0023 max mem: 31671 Epoch: [33] [4210/5278] eta: 0:43:32 lr: 9.341243123852082e-06 loss: 0.0306 (0.0353) loss_seg: 0.0327 (0.0377) loss_lansim: 0.0753 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4133 data: 0.0023 max mem: 31671 Epoch: [33] [4220/5278] eta: 0:43:07 lr: 9.338674849149894e-06 loss: 0.0299 (0.0352) loss_seg: 0.0321 (0.0377) loss_lansim: 0.0755 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4164 data: 0.0023 max mem: 31671 Epoch: [33] [4230/5278] eta: 0:42:43 lr: 9.33610649596599e-06 loss: 0.0299 (0.0352) loss_seg: 0.0311 (0.0377) loss_lansim: 0.0755 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4073 data: 0.0023 max mem: 31671 Epoch: [33] [4240/5278] eta: 0:42:18 lr: 9.333538064273987e-06 loss: 0.0306 (0.0352) loss_seg: 0.0311 (0.0377) loss_lansim: 0.0753 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.3935 data: 0.0023 max mem: 31671 Epoch: [33] [4250/5278] eta: 0:41:54 lr: 9.330969554047477e-06 loss: 0.0309 (0.0352) loss_seg: 0.0321 (0.0377) loss_lansim: 0.0739 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.3935 data: 0.0023 max mem: 31671 Epoch: [33] [4260/5278] eta: 0:41:29 lr: 9.328400965260045e-06 loss: 0.0309 (0.0352) loss_seg: 0.0326 (0.0377) loss_lansim: 0.0737 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.3996 data: 0.0023 max mem: 31671 Epoch: [33] [4270/5278] eta: 0:41:05 lr: 9.32583229788524e-06 loss: 0.0318 (0.0352) loss_seg: 0.0329 (0.0377) loss_lansim: 0.0737 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.3970 data: 0.0024 max mem: 31671 Epoch: [33] [4280/5278] eta: 0:40:40 lr: 9.323263551896609e-06 loss: 0.0318 (0.0352) loss_seg: 0.0329 (0.0377) loss_lansim: 0.0735 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4053 data: 0.0024 max mem: 31671 Epoch: [33] [4290/5278] eta: 0:40:16 lr: 9.32069472726768e-06 loss: 0.0318 (0.0352) loss_seg: 0.0329 (0.0377) loss_lansim: 0.0735 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4061 data: 0.0024 max mem: 31671 Epoch: [33] [4300/5278] eta: 0:39:51 lr: 9.318125823971962e-06 loss: 0.0318 (0.0352) loss_seg: 0.0329 (0.0377) loss_lansim: 0.0737 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4110 data: 0.0024 max mem: 31671 Epoch: [33] [4310/5278] eta: 0:39:27 lr: 9.315556841982953e-06 loss: 0.0318 (0.0352) loss_seg: 0.0340 (0.0377) loss_lansim: 0.0733 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4224 data: 0.0023 max mem: 31671 Epoch: [33] [4320/5278] eta: 0:39:02 lr: 9.312987781274115e-06 loss: 0.0320 (0.0352) loss_seg: 0.0342 (0.0377) loss_lansim: 0.0733 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4244 data: 0.0023 max mem: 31671 Epoch: [33] [4330/5278] eta: 0:38:38 lr: 9.310418641818913e-06 loss: 0.0310 (0.0352) loss_seg: 0.0329 (0.0377) loss_lansim: 0.0738 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4297 data: 0.0023 max mem: 31671 Epoch: [33] [4340/5278] eta: 0:38:13 lr: 9.307849423590789e-06 loss: 0.0300 (0.0352) loss_seg: 0.0329 (0.0376) loss_lansim: 0.0733 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4263 data: 0.0023 max mem: 31671 Epoch: [33] [4350/5278] eta: 0:37:49 lr: 9.305280126563173e-06 loss: 0.0299 (0.0352) loss_seg: 0.0320 (0.0376) loss_lansim: 0.0743 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4269 data: 0.0023 max mem: 31671 Epoch: [33] [4360/5278] eta: 0:37:24 lr: 9.302710750709457e-06 loss: 0.0310 (0.0352) loss_seg: 0.0329 (0.0376) loss_lansim: 0.0749 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4212 data: 0.0023 max mem: 31671 Epoch: [33] [4370/5278] eta: 0:37:00 lr: 9.300141296003037e-06 loss: 0.0307 (0.0352) loss_seg: 0.0333 (0.0376) loss_lansim: 0.0759 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4299 data: 0.0022 max mem: 31671 Epoch: [33] [4380/5278] eta: 0:36:35 lr: 9.297571762417288e-06 loss: 0.0306 (0.0352) loss_seg: 0.0320 (0.0376) loss_lansim: 0.0749 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4264 data: 0.0022 max mem: 31671 Epoch: [33] [4390/5278] eta: 0:36:11 lr: 9.295002149925569e-06 loss: 0.0309 (0.0352) loss_seg: 0.0336 (0.0376) loss_lansim: 0.0743 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4345 data: 0.0022 max mem: 31671 Epoch: [33] [4400/5278] eta: 0:35:47 lr: 9.292432458501208e-06 loss: 0.0317 (0.0352) loss_seg: 0.0337 (0.0376) loss_lansim: 0.0746 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4404 data: 0.0022 max mem: 31671 Epoch: [33] [4410/5278] eta: 0:35:22 lr: 9.28986268811753e-06 loss: 0.0294 (0.0352) loss_seg: 0.0317 (0.0376) loss_lansim: 0.0749 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4374 data: 0.0022 max mem: 31671 Epoch: [33] [4420/5278] eta: 0:34:58 lr: 9.287292838747842e-06 loss: 0.0314 (0.0352) loss_seg: 0.0337 (0.0376) loss_lansim: 0.0754 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4391 data: 0.0022 max mem: 31671 Epoch: [33] [4430/5278] eta: 0:34:33 lr: 9.284722910365431e-06 loss: 0.0316 (0.0352) loss_seg: 0.0340 (0.0376) loss_lansim: 0.0760 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4293 data: 0.0022 max mem: 31671 Epoch: [33] [4440/5278] eta: 0:34:09 lr: 9.282152902943557e-06 loss: 0.0325 (0.0352) loss_seg: 0.0346 (0.0376) loss_lansim: 0.0764 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4347 data: 0.0022 max mem: 31671 Epoch: [33] [4450/5278] eta: 0:33:44 lr: 9.279582816455477e-06 loss: 0.0328 (0.0352) loss_seg: 0.0349 (0.0376) loss_lansim: 0.0764 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4443 data: 0.0022 max mem: 31671 Epoch: [33] [4460/5278] eta: 0:33:20 lr: 9.277012650874429e-06 loss: 0.0316 (0.0352) loss_seg: 0.0345 (0.0376) loss_lansim: 0.0763 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4434 data: 0.0022 max mem: 31671 Epoch: [33] [4470/5278] eta: 0:32:55 lr: 9.274442406173632e-06 loss: 0.0319 (0.0352) loss_seg: 0.0346 (0.0376) loss_lansim: 0.0739 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4398 data: 0.0022 max mem: 31671 Epoch: [33] [4480/5278] eta: 0:32:31 lr: 9.271872082326277e-06 loss: 0.0319 (0.0352) loss_seg: 0.0345 (0.0376) loss_lansim: 0.0751 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4355 data: 0.0022 max mem: 31671 Epoch: [33] [4490/5278] eta: 0:32:06 lr: 9.26930167930555e-06 loss: 0.0319 (0.0352) loss_seg: 0.0346 (0.0376) loss_lansim: 0.0763 (0.0755) loss_contra: 0.0000 (0.0018) time: 2.4308 data: 0.0022 max mem: 31671 Epoch: [33] [4500/5278] eta: 0:31:42 lr: 9.26673119708462e-06 loss: 0.0316 (0.0352) loss_seg: 0.0345 (0.0376) loss_lansim: 0.0746 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4327 data: 0.0022 max mem: 31671 Epoch: [33] [4510/5278] eta: 0:31:17 lr: 9.264160635636637e-06 loss: 0.0319 (0.0352) loss_seg: 0.0346 (0.0376) loss_lansim: 0.0736 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4326 data: 0.0023 max mem: 31671 Epoch: [33] [4520/5278] eta: 0:30:53 lr: 9.261589994934722e-06 loss: 0.0316 (0.0351) loss_seg: 0.0345 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4319 data: 0.0023 max mem: 31671 Epoch: [33] [4530/5278] eta: 0:30:28 lr: 9.259019274951993e-06 loss: 0.0318 (0.0351) loss_seg: 0.0345 (0.0376) loss_lansim: 0.0724 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4429 data: 0.0023 max mem: 31671 Epoch: [33] [4540/5278] eta: 0:30:04 lr: 9.256448475661544e-06 loss: 0.0315 (0.0351) loss_seg: 0.0334 (0.0376) loss_lansim: 0.0723 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4497 data: 0.0023 max mem: 31671 Epoch: [33] [4550/5278] eta: 0:29:40 lr: 9.253877597036457e-06 loss: 0.0312 (0.0351) loss_seg: 0.0330 (0.0375) loss_lansim: 0.0725 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4498 data: 0.0023 max mem: 31671 Epoch: [33] [4560/5278] eta: 0:29:15 lr: 9.251306639049798e-06 loss: 0.0312 (0.0351) loss_seg: 0.0334 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4546 data: 0.0023 max mem: 31671 Epoch: [33] [4570/5278] eta: 0:28:51 lr: 9.248735601674596e-06 loss: 0.0316 (0.0351) loss_seg: 0.0338 (0.0376) loss_lansim: 0.0741 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4580 data: 0.0023 max mem: 31671 Epoch: [33] [4580/5278] eta: 0:28:27 lr: 9.246164484883885e-06 loss: 0.0318 (0.0351) loss_seg: 0.0338 (0.0376) loss_lansim: 0.0740 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4667 data: 0.0023 max mem: 31671 Epoch: [33] [4590/5278] eta: 0:28:02 lr: 9.243593288650671e-06 loss: 0.0314 (0.0351) loss_seg: 0.0330 (0.0376) loss_lansim: 0.0741 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4645 data: 0.0023 max mem: 31671 Epoch: [33] [4600/5278] eta: 0:27:38 lr: 9.241022012947954e-06 loss: 0.0306 (0.0351) loss_seg: 0.0328 (0.0376) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4624 data: 0.0023 max mem: 31671 Epoch: [33] [4610/5278] eta: 0:27:13 lr: 9.238450657748695e-06 loss: 0.0302 (0.0351) loss_seg: 0.0328 (0.0375) loss_lansim: 0.0761 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4650 data: 0.0023 max mem: 31671 Epoch: [33] [4620/5278] eta: 0:26:49 lr: 9.235879223025854e-06 loss: 0.0299 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4662 data: 0.0023 max mem: 31671 Epoch: [33] [4630/5278] eta: 0:26:24 lr: 9.233307708752368e-06 loss: 0.0299 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0745 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4608 data: 0.0023 max mem: 31671 Epoch: [33] [4640/5278] eta: 0:26:00 lr: 9.230736114901168e-06 loss: 0.0296 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0750 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4587 data: 0.0023 max mem: 31671 Epoch: [33] [4650/5278] eta: 0:25:35 lr: 9.22816444144514e-06 loss: 0.0296 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0760 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4589 data: 0.0023 max mem: 31671 Epoch: [33] [4660/5278] eta: 0:25:11 lr: 9.22559268835718e-06 loss: 0.0295 (0.0351) loss_seg: 0.0319 (0.0375) loss_lansim: 0.0746 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4568 data: 0.0024 max mem: 31671 Epoch: [33] [4670/5278] eta: 0:24:46 lr: 9.223020855610153e-06 loss: 0.0294 (0.0351) loss_seg: 0.0316 (0.0375) loss_lansim: 0.0746 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4557 data: 0.0024 max mem: 31671 Epoch: [33] [4680/5278] eta: 0:24:22 lr: 9.220448943176915e-06 loss: 0.0294 (0.0351) loss_seg: 0.0316 (0.0375) loss_lansim: 0.0757 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4583 data: 0.0024 max mem: 31671 Epoch: [33] [4690/5278] eta: 0:23:58 lr: 9.217876951030287e-06 loss: 0.0296 (0.0351) loss_seg: 0.0317 (0.0375) loss_lansim: 0.0745 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4669 data: 0.0024 max mem: 31671 Epoch: [33] [4700/5278] eta: 0:23:33 lr: 9.21530487914309e-06 loss: 0.0307 (0.0351) loss_seg: 0.0325 (0.0375) loss_lansim: 0.0746 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4709 data: 0.0024 max mem: 31671 Epoch: [33] [4710/5278] eta: 0:23:09 lr: 9.21273272748812e-06 loss: 0.0312 (0.0351) loss_seg: 0.0332 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4709 data: 0.0024 max mem: 31671 Epoch: [33] [4720/5278] eta: 0:22:44 lr: 9.210160496038165e-06 loss: 0.0312 (0.0351) loss_seg: 0.0332 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4714 data: 0.0025 max mem: 31671 Epoch: [33] [4730/5278] eta: 0:22:20 lr: 9.20758818476597e-06 loss: 0.0307 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4775 data: 0.0024 max mem: 31671 Epoch: [33] [4740/5278] eta: 0:21:56 lr: 9.20501579364429e-06 loss: 0.0311 (0.0351) loss_seg: 0.0332 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4763 data: 0.0024 max mem: 31671 Epoch: [33] [4750/5278] eta: 0:21:31 lr: 9.202443322645847e-06 loss: 0.0313 (0.0351) loss_seg: 0.0343 (0.0375) loss_lansim: 0.0742 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4729 data: 0.0024 max mem: 31671 Epoch: [33] [4760/5278] eta: 0:21:07 lr: 9.199870771743352e-06 loss: 0.0341 (0.0351) loss_seg: 0.0365 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4783 data: 0.0025 max mem: 31671 Epoch: [33] [4770/5278] eta: 0:20:42 lr: 9.1972981409095e-06 loss: 0.0341 (0.0351) loss_seg: 0.0365 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4729 data: 0.0025 max mem: 31671 Epoch: [33] [4780/5278] eta: 0:20:18 lr: 9.194725430116951e-06 loss: 0.0318 (0.0351) loss_seg: 0.0347 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4719 data: 0.0025 max mem: 31671 Epoch: [33] [4790/5278] eta: 0:19:53 lr: 9.192152639338366e-06 loss: 0.0312 (0.0351) loss_seg: 0.0342 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4669 data: 0.0024 max mem: 31671 Epoch: [33] [4800/5278] eta: 0:19:29 lr: 9.189579768546385e-06 loss: 0.0311 (0.0351) loss_seg: 0.0341 (0.0375) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4654 data: 0.0024 max mem: 31671 Epoch: [33] [4810/5278] eta: 0:19:04 lr: 9.187006817713629e-06 loss: 0.0309 (0.0351) loss_seg: 0.0339 (0.0376) loss_lansim: 0.0743 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4661 data: 0.0024 max mem: 31671 Epoch: [33] [4820/5278] eta: 0:18:40 lr: 9.184433786812688e-06 loss: 0.0311 (0.0351) loss_seg: 0.0341 (0.0376) loss_lansim: 0.0748 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4600 data: 0.0024 max mem: 31671 Epoch: [33] [4830/5278] eta: 0:18:16 lr: 9.181860675816152e-06 loss: 0.0309 (0.0351) loss_seg: 0.0339 (0.0376) loss_lansim: 0.0745 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4607 data: 0.0024 max mem: 31671 Epoch: [33] [4840/5278] eta: 0:17:51 lr: 9.179287484696587e-06 loss: 0.0308 (0.0351) loss_seg: 0.0339 (0.0376) loss_lansim: 0.0739 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4643 data: 0.0024 max mem: 31671 Epoch: [33] [4850/5278] eta: 0:17:27 lr: 9.176714213426546e-06 loss: 0.0305 (0.0351) loss_seg: 0.0334 (0.0376) loss_lansim: 0.0739 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4701 data: 0.0024 max mem: 31671 Epoch: [33] [4860/5278] eta: 0:17:02 lr: 9.174140861978546e-06 loss: 0.0300 (0.0351) loss_seg: 0.0329 (0.0376) loss_lansim: 0.0741 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4614 data: 0.0023 max mem: 31671 Epoch: [33] [4870/5278] eta: 0:16:38 lr: 9.171567430325104e-06 loss: 0.0302 (0.0351) loss_seg: 0.0329 (0.0376) loss_lansim: 0.0738 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4597 data: 0.0023 max mem: 31671 Epoch: [33] [4880/5278] eta: 0:16:13 lr: 9.168993918438713e-06 loss: 0.0308 (0.0351) loss_seg: 0.0333 (0.0376) loss_lansim: 0.0736 (0.0755) loss_contra: 0.0000 (0.0017) time: 2.4518 data: 0.0023 max mem: 31671 Epoch: [33] [4890/5278] eta: 0:15:49 lr: 9.166420326291856e-06 loss: 0.0308 (0.0351) loss_seg: 0.0337 (0.0376) loss_lansim: 0.0732 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4495 data: 0.0023 max mem: 31671 Epoch: [33] [4900/5278] eta: 0:15:24 lr: 9.163846653856976e-06 loss: 0.0308 (0.0351) loss_seg: 0.0333 (0.0376) loss_lansim: 0.0726 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4470 data: 0.0023 max mem: 31671 Epoch: [33] [4910/5278] eta: 0:15:00 lr: 9.161272901106523e-06 loss: 0.0305 (0.0351) loss_seg: 0.0331 (0.0376) loss_lansim: 0.0738 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4415 data: 0.0023 max mem: 31671 Epoch: [33] [4920/5278] eta: 0:14:35 lr: 9.158699068012914e-06 loss: 0.0305 (0.0351) loss_seg: 0.0329 (0.0376) loss_lansim: 0.0726 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4406 data: 0.0023 max mem: 31671 Epoch: [33] [4930/5278] eta: 0:14:11 lr: 9.156125154548558e-06 loss: 0.0305 (0.0351) loss_seg: 0.0325 (0.0375) loss_lansim: 0.0726 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4419 data: 0.0023 max mem: 31671 Epoch: [33] [4940/5278] eta: 0:13:46 lr: 9.153551160685829e-06 loss: 0.0306 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0741 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4393 data: 0.0023 max mem: 31671 Epoch: [33] [4950/5278] eta: 0:13:22 lr: 9.150977086397101e-06 loss: 0.0306 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0738 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4391 data: 0.0022 max mem: 31671 Epoch: [33] [4960/5278] eta: 0:12:57 lr: 9.148402931654723e-06 loss: 0.0303 (0.0351) loss_seg: 0.0309 (0.0375) loss_lansim: 0.0724 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4418 data: 0.0023 max mem: 31671 Epoch: [33] [4970/5278] eta: 0:12:33 lr: 9.145828696431031e-06 loss: 0.0313 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0724 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4461 data: 0.0023 max mem: 31671 Epoch: [33] [4980/5278] eta: 0:12:09 lr: 9.143254380698325e-06 loss: 0.0306 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0724 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4433 data: 0.0023 max mem: 31671 Epoch: [33] [4990/5278] eta: 0:11:44 lr: 9.140679984428904e-06 loss: 0.0306 (0.0351) loss_seg: 0.0323 (0.0375) loss_lansim: 0.0732 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4444 data: 0.0023 max mem: 31671 Epoch: [33] [5000/5278] eta: 0:11:20 lr: 9.138105507595048e-06 loss: 0.0306 (0.0351) loss_seg: 0.0314 (0.0375) loss_lansim: 0.0732 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4453 data: 0.0023 max mem: 31671 Epoch: [33] [5010/5278] eta: 0:10:55 lr: 9.13553095016901e-06 loss: 0.0317 (0.0351) loss_seg: 0.0335 (0.0375) loss_lansim: 0.0724 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4556 data: 0.0023 max mem: 31671 Epoch: [33] [5020/5278] eta: 0:10:31 lr: 9.13295631212304e-06 loss: 0.0317 (0.0351) loss_seg: 0.0335 (0.0375) loss_lansim: 0.0724 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4539 data: 0.0023 max mem: 31671 Epoch: [33] [5030/5278] eta: 0:10:06 lr: 9.130381593429344e-06 loss: 0.0327 (0.0351) loss_seg: 0.0342 (0.0375) loss_lansim: 0.0723 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4498 data: 0.0023 max mem: 31671 Epoch: [33] [5040/5278] eta: 0:09:42 lr: 9.127806794060134e-06 loss: 0.0327 (0.0351) loss_seg: 0.0342 (0.0375) loss_lansim: 0.0723 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4502 data: 0.0023 max mem: 31671 Epoch: [33] [5050/5278] eta: 0:09:17 lr: 9.125231913987593e-06 loss: 0.0327 (0.0351) loss_seg: 0.0344 (0.0375) loss_lansim: 0.0723 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4452 data: 0.0023 max mem: 31671 Epoch: [33] [5060/5278] eta: 0:08:53 lr: 9.122656953183895e-06 loss: 0.0330 (0.0351) loss_seg: 0.0350 (0.0375) loss_lansim: 0.0729 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4499 data: 0.0023 max mem: 31671 Epoch: [33] [5070/5278] eta: 0:08:28 lr: 9.120081911621174e-06 loss: 0.0320 (0.0351) loss_seg: 0.0336 (0.0375) loss_lansim: 0.0735 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4566 data: 0.0023 max mem: 31671 Epoch: [33] [5080/5278] eta: 0:08:04 lr: 9.117506789271565e-06 loss: 0.0310 (0.0351) loss_seg: 0.0336 (0.0375) loss_lansim: 0.0737 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4625 data: 0.0023 max mem: 31671 Epoch: [33] [5090/5278] eta: 0:07:39 lr: 9.114931586107182e-06 loss: 0.0331 (0.0351) loss_seg: 0.0359 (0.0376) loss_lansim: 0.0737 (0.0754) loss_contra: 0.0000 (0.0017) time: 2.4655 data: 0.0023 max mem: 31671 Epoch: [33] [5100/5278] eta: 0:07:15 lr: 9.112356302100124e-06 loss: 0.0337 (0.0351) loss_seg: 0.0359 (0.0375) loss_lansim: 0.0738 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4641 data: 0.0023 max mem: 31671 Epoch: [33] [5110/5278] eta: 0:06:51 lr: 9.109780937222451e-06 loss: 0.0320 (0.0351) loss_seg: 0.0340 (0.0376) loss_lansim: 0.0743 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4603 data: 0.0023 max mem: 31671 Epoch: [33] [5120/5278] eta: 0:06:26 lr: 9.107205491446231e-06 loss: 0.0310 (0.0351) loss_seg: 0.0337 (0.0376) loss_lansim: 0.0750 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4668 data: 0.0023 max mem: 31671 Epoch: [33] [5130/5278] eta: 0:06:02 lr: 9.104629964743493e-06 loss: 0.0320 (0.0351) loss_seg: 0.0340 (0.0376) loss_lansim: 0.0750 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4678 data: 0.0023 max mem: 31671 Epoch: [33] [5140/5278] eta: 0:05:37 lr: 9.102054357086271e-06 loss: 0.0336 (0.0351) loss_seg: 0.0359 (0.0376) loss_lansim: 0.0748 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4675 data: 0.0023 max mem: 31671 Epoch: [33] [5150/5278] eta: 0:05:13 lr: 9.099478668446546e-06 loss: 0.0308 (0.0351) loss_seg: 0.0322 (0.0376) loss_lansim: 0.0750 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4667 data: 0.0023 max mem: 31671 Epoch: [33] [5160/5278] eta: 0:04:48 lr: 9.096902898796315e-06 loss: 0.0308 (0.0351) loss_seg: 0.0326 (0.0376) loss_lansim: 0.0743 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4639 data: 0.0024 max mem: 31671 Epoch: [33] [5170/5278] eta: 0:04:24 lr: 9.094327048107534e-06 loss: 0.0308 (0.0351) loss_seg: 0.0327 (0.0376) loss_lansim: 0.0737 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4586 data: 0.0024 max mem: 31671 Epoch: [33] [5180/5278] eta: 0:03:59 lr: 9.091751116352157e-06 loss: 0.0308 (0.0351) loss_seg: 0.0326 (0.0376) loss_lansim: 0.0735 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4560 data: 0.0024 max mem: 31671 Epoch: [33] [5190/5278] eta: 0:03:35 lr: 9.0891751035021e-06 loss: 0.0297 (0.0351) loss_seg: 0.0318 (0.0376) loss_lansim: 0.0723 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4553 data: 0.0023 max mem: 31671 Epoch: [33] [5200/5278] eta: 0:03:10 lr: 9.086599009529276e-06 loss: 0.0298 (0.0351) loss_seg: 0.0322 (0.0376) loss_lansim: 0.0722 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4604 data: 0.0023 max mem: 31671 Epoch: [33] [5210/5278] eta: 0:02:46 lr: 9.084022834405575e-06 loss: 0.0297 (0.0351) loss_seg: 0.0322 (0.0376) loss_lansim: 0.0727 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4654 data: 0.0023 max mem: 31671 Epoch: [33] [5220/5278] eta: 0:02:21 lr: 9.081446578102875e-06 loss: 0.0297 (0.0351) loss_seg: 0.0322 (0.0376) loss_lansim: 0.0723 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4638 data: 0.0024 max mem: 31671 Epoch: [33] [5230/5278] eta: 0:01:57 lr: 9.078870240593014e-06 loss: 0.0298 (0.0351) loss_seg: 0.0325 (0.0376) loss_lansim: 0.0722 (0.0754) loss_contra: 0.0000 (0.0016) time: 2.4727 data: 0.0024 max mem: 31671 Epoch: [33] [5240/5278] eta: 0:01:33 lr: 9.076293821847834e-06 loss: 0.0297 (0.0351) loss_seg: 0.0316 (0.0375) loss_lansim: 0.0722 (0.0753) loss_contra: 0.0000 (0.0016) time: 2.4724 data: 0.0024 max mem: 31671 Epoch: [33] [5250/5278] eta: 0:01:08 lr: 9.073717321839148e-06 loss: 0.0298 (0.0351) loss_seg: 0.0321 (0.0375) loss_lansim: 0.0721 (0.0753) loss_contra: 0.0000 (0.0016) time: 2.4682 data: 0.0024 max mem: 31671 Epoch: [33] [5260/5278] eta: 0:00:44 lr: 9.071140740538754e-06 loss: 0.0297 (0.0351) loss_seg: 0.0316 (0.0375) loss_lansim: 0.0722 (0.0753) loss_contra: 0.0000 (0.0016) time: 2.4619 data: 0.0024 max mem: 31671 Epoch: [33] [5270/5278] eta: 0:00:19 lr: 9.068564077918435e-06 loss: 0.0297 (0.0351) loss_seg: 0.0310 (0.0375) loss_lansim: 0.0727 (0.0753) loss_contra: 0.0000 (0.0016) time: 2.4587 data: 0.0024 max mem: 31671 Epoch: [33] Total time: 3:35:16 Test: [ 0/2573] eta: 1:32:36 time: 2.1597 data: 1.9380 max mem: 31671 Test: [ 100/2573] eta: 0:06:39 time: 0.1417 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:06 time: 0.1468 data: 0.0013 max mem: 31671 Test: [ 300/2573] eta: 0:05:41 time: 0.1418 data: 0.0014 max mem: 31671 Test: [ 400/2573] eta: 0:05:22 time: 0.1433 data: 0.0013 max mem: 31671 Test: [ 500/2573] eta: 0:05:05 time: 0.1434 data: 0.0014 max mem: 31671 Test: [ 600/2573] eta: 0:04:50 time: 0.1450 data: 0.0013 max mem: 31671 Test: [ 700/2573] eta: 0:04:35 time: 0.1482 data: 0.0013 max mem: 31671 Test: [ 800/2573] eta: 0:04:20 time: 0.1456 data: 0.0013 max mem: 31671 Test: [ 900/2573] eta: 0:04:05 time: 0.1461 data: 0.0014 max mem: 31671 Test: [1000/2573] eta: 0:03:50 time: 0.1433 data: 0.0013 max mem: 31671 Test: [1100/2573] eta: 0:03:35 time: 0.1446 data: 0.0014 max mem: 31671 Test: [1200/2573] eta: 0:03:20 time: 0.1466 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:06 time: 0.1455 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:51 time: 0.1401 data: 0.0014 max mem: 31671 Test: [1500/2573] eta: 0:02:36 time: 0.1439 data: 0.0013 max mem: 31671 Test: [1600/2573] eta: 0:02:21 time: 0.1437 data: 0.0013 max mem: 31671 Test: [1700/2573] eta: 0:02:07 time: 0.1460 data: 0.0014 max mem: 31671 Test: [1800/2573] eta: 0:01:52 time: 0.1433 data: 0.0013 max mem: 31671 Test: [1900/2573] eta: 0:01:37 time: 0.1417 data: 0.0013 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1419 data: 0.0013 max mem: 31671 Test: [2100/2573] eta: 0:01:08 time: 0.1452 data: 0.0013 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1403 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1442 data: 0.0014 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1439 data: 0.0014 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1461 data: 0.0014 max mem: 31671 Test: Total time: 0:06:13 Final results: precision@0.5 = 71.32 precision@0.6 = 67.36 precision@0.7 = 60.97 precision@0.8 = 49.49 precision@0.9 = 25.45 overall IoU = 60.67 mean IoU = 63.14 Average object IoU 0.6313678659709244 Overall IoU 60.66657172445085 Better epoch: 33 The best_performance is 60.66657172445085 Epoch: [34] [ 0/5278] eta: 5:36:42 lr: 9.066502689252851e-06 loss: 0.0151 (0.0151) loss_seg: 0.0161 (0.0161) loss_lansim: 0.0823 (0.0823) loss_contra: 0.0032 (0.0032) time: 3.8276 data: 1.2691 max mem: 31671 Epoch: [34] [ 10/5278] eta: 3:43:49 lr: 9.063925880185471e-06 loss: 0.0254 (0.0259) loss_seg: 0.0277 (0.0277) loss_lansim: 0.0756 (0.0746) loss_contra: 0.0004 (0.0091) time: 2.5493 data: 0.1170 max mem: 31671 Epoch: [34] [ 20/5278] eta: 3:36:35 lr: 9.06134898971904e-06 loss: 0.0250 (0.0270) loss_seg: 0.0256 (0.0286) loss_lansim: 0.0756 (0.0758) loss_contra: 0.0001 (0.0048) time: 2.4716 data: 0.0624 max mem: 31671 Epoch: [34] [ 30/5278] eta: 3:35:39 lr: 9.05877201782526e-06 loss: 0.0259 (0.0278) loss_seg: 0.0277 (0.0295) loss_lansim: 0.0756 (0.0762) loss_contra: 0.0000 (0.0033) time: 2.4657 data: 0.0430 max mem: 31671 Epoch: [34] [ 40/5278] eta: 3:36:13 lr: 9.056194964475822e-06 loss: 0.0254 (0.0273) loss_seg: 0.0272 (0.0291) loss_lansim: 0.0736 (0.0753) loss_contra: 0.0000 (0.0026) time: 2.4769 data: 0.0331 max mem: 31671 Epoch: [34] [ 50/5278] eta: 3:34:48 lr: 9.053617829642403e-06 loss: 0.0264 (0.0290) loss_seg: 0.0280 (0.0311) loss_lansim: 0.0736 (0.0757) loss_contra: 0.0000 (0.0021) time: 2.4653 data: 0.0271 max mem: 31671 Epoch: [34] [ 60/5278] eta: 3:34:14 lr: 9.051040613296636e-06 loss: 0.0273 (0.0295) loss_seg: 0.0287 (0.0316) loss_lansim: 0.0736 (0.0753) loss_contra: 0.0000 (0.0023) time: 2.4635 data: 0.0231 max mem: 31671 Epoch: [34] [ 70/5278] eta: 3:33:56 lr: 9.048463315410162e-06 loss: 0.0278 (0.0297) loss_seg: 0.0298 (0.0318) loss_lansim: 0.0744 (0.0762) loss_contra: 0.0000 (0.0021) time: 2.4647 data: 0.0202 max mem: 31671 Epoch: [34] [ 80/5278] eta: 3:32:22 lr: 9.045885935954593e-06 loss: 0.0279 (0.0303) loss_seg: 0.0298 (0.0324) loss_lansim: 0.0736 (0.0758) loss_contra: 0.0000 (0.0021) time: 2.4513 data: 0.0180 max mem: 31671 Epoch: [34] [ 90/5278] eta: 3:31:14 lr: 9.043308474901526e-06 loss: 0.0278 (0.0308) loss_seg: 0.0298 (0.0330) loss_lansim: 0.0733 (0.0754) loss_contra: 0.0000 (0.0018) time: 2.4430 data: 0.0163 max mem: 31671 Epoch: [34] [ 100/5278] eta: 3:30:24 lr: 9.040730932222527e-06 loss: 0.0282 (0.0311) loss_seg: 0.0298 (0.0333) loss_lansim: 0.0733 (0.0752) loss_contra: 0.0000 (0.0017) time: 2.4243 data: 0.0023 max mem: 31671 Epoch: [34] [ 110/5278] eta: 3:30:08 lr: 9.038153307889157e-06 loss: 0.0288 (0.0311) loss_seg: 0.0305 (0.0332) loss_lansim: 0.0731 (0.0749) loss_contra: 0.0000 (0.0017) time: 2.4278 data: 0.0024 max mem: 31671 Epoch: [34] [ 120/5278] eta: 3:30:07 lr: 9.03557560187295e-06 loss: 0.0290 (0.0312) loss_seg: 0.0307 (0.0333) loss_lansim: 0.0724 (0.0745) loss_contra: 0.0000 (0.0016) time: 2.4386 data: 0.0024 max mem: 31671 Epoch: [34] [ 130/5278] eta: 3:29:36 lr: 9.032997814145433e-06 loss: 0.0290 (0.0309) loss_seg: 0.0307 (0.0330) loss_lansim: 0.0727 (0.0747) loss_contra: 0.0000 (0.0015) time: 2.4359 data: 0.0024 max mem: 31671 Epoch: [34] [ 140/5278] eta: 3:29:22 lr: 9.030419944678092e-06 loss: 0.0296 (0.0307) loss_seg: 0.0316 (0.0328) loss_lansim: 0.0731 (0.0747) loss_contra: 0.0000 (0.0029) time: 2.4318 data: 0.0024 max mem: 31671 Epoch: [34] [ 150/5278] eta: 3:28:39 lr: 9.027841993442413e-06 loss: 0.0289 (0.0311) loss_seg: 0.0301 (0.0331) loss_lansim: 0.0736 (0.0751) loss_contra: 0.0000 (0.0030) time: 2.4293 data: 0.0023 max mem: 31671 Epoch: [34] [ 160/5278] eta: 3:28:12 lr: 9.025263960409856e-06 loss: 0.0288 (0.0311) loss_seg: 0.0299 (0.0332) loss_lansim: 0.0736 (0.0750) loss_contra: 0.0000 (0.0029) time: 2.4272 data: 0.0023 max mem: 31671 Epoch: [34] [ 170/5278] eta: 3:27:43 lr: 9.022685845551871e-06 loss: 0.0283 (0.0310) loss_seg: 0.0298 (0.0330) loss_lansim: 0.0729 (0.0750) loss_contra: 0.0000 (0.0027) time: 2.4225 data: 0.0022 max mem: 31671 Epoch: [34] [ 180/5278] eta: 3:27:26 lr: 9.020107648839866e-06 loss: 0.0288 (0.0312) loss_seg: 0.0301 (0.0333) loss_lansim: 0.0731 (0.0747) loss_contra: 0.0000 (0.0028) time: 2.4334 data: 0.0023 max mem: 31671 Epoch: [34] [ 190/5278] eta: 3:27:04 lr: 9.017529370245254e-06 loss: 0.0288 (0.0311) loss_seg: 0.0299 (0.0331) loss_lansim: 0.0733 (0.0748) loss_contra: 0.0000 (0.0026) time: 2.4409 data: 0.0022 max mem: 31671 Epoch: [34] [ 200/5278] eta: 3:26:16 lr: 9.014951009739419e-06 loss: 0.0277 (0.0311) loss_seg: 0.0289 (0.0330) loss_lansim: 0.0739 (0.0750) loss_contra: 0.0000 (0.0027) time: 2.4364 data: 0.0023 max mem: 31671 Epoch: [34] [ 210/5278] eta: 3:26:00 lr: 9.012372567293729e-06 loss: 0.0287 (0.0313) loss_seg: 0.0300 (0.0333) loss_lansim: 0.0736 (0.0747) loss_contra: 0.0000 (0.0025) time: 2.4379 data: 0.0023 max mem: 31671 Epoch: [34] [ 220/5278] eta: 3:25:36 lr: 9.009794042879522e-06 loss: 0.0289 (0.0320) loss_seg: 0.0300 (0.0341) loss_lansim: 0.0733 (0.0745) loss_contra: 0.0000 (0.0025) time: 2.4327 data: 0.0023 max mem: 31671 Epoch: [34] [ 230/5278] eta: 3:25:11 lr: 9.007215436468131e-06 loss: 0.0295 (0.0321) loss_seg: 0.0301 (0.0341) loss_lansim: 0.0723 (0.0742) loss_contra: 0.0000 (0.0024) time: 2.4337 data: 0.0023 max mem: 31671 Epoch: [34] [ 240/5278] eta: 3:25:00 lr: 9.004636748030863e-06 loss: 0.0301 (0.0320) loss_seg: 0.0303 (0.0340) loss_lansim: 0.0723 (0.0743) loss_contra: 0.0000 (0.0023) time: 2.4366 data: 0.0023 max mem: 31671 Epoch: [34] [ 250/5278] eta: 3:24:52 lr: 9.002057977539015e-06 loss: 0.0301 (0.0318) loss_seg: 0.0303 (0.0338) loss_lansim: 0.0722 (0.0741) loss_contra: 0.0000 (0.0022) time: 2.4500 data: 0.0023 max mem: 31671 Epoch: [34] [ 260/5278] eta: 3:24:19 lr: 8.999479124963843e-06 loss: 0.0287 (0.0317) loss_seg: 0.0300 (0.0338) loss_lansim: 0.0722 (0.0742) loss_contra: 0.0000 (0.0022) time: 2.4465 data: 0.0023 max mem: 31671 Epoch: [34] [ 270/5278] eta: 3:24:06 lr: 8.996900190276606e-06 loss: 0.0287 (0.0318) loss_seg: 0.0297 (0.0338) loss_lansim: 0.0714 (0.0740) loss_contra: 0.0000 (0.0021) time: 2.4547 data: 0.0024 max mem: 31671 Epoch: [34] [ 280/5278] eta: 3:23:35 lr: 8.994321173448531e-06 loss: 0.0284 (0.0317) loss_seg: 0.0296 (0.0338) loss_lansim: 0.0723 (0.0741) loss_contra: 0.0000 (0.0020) time: 2.4491 data: 0.0024 max mem: 31671 Epoch: [34] [ 290/5278] eta: 3:23:25 lr: 8.991742074450834e-06 loss: 0.0304 (0.0318) loss_seg: 0.0310 (0.0338) loss_lansim: 0.0722 (0.0740) loss_contra: 0.0000 (0.0019) time: 2.4564 data: 0.0024 max mem: 31671 Epoch: [34] [ 300/5278] eta: 3:23:19 lr: 8.989162893254715e-06 loss: 0.0312 (0.0320) loss_seg: 0.0328 (0.0341) loss_lansim: 0.0712 (0.0740) loss_contra: 0.0000 (0.0019) time: 2.4778 data: 0.0024 max mem: 31671 Epoch: [34] [ 310/5278] eta: 3:23:09 lr: 8.98658362983133e-06 loss: 0.0301 (0.0318) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0710 (0.0738) loss_contra: 0.0000 (0.0019) time: 2.4845 data: 0.0024 max mem: 31671 Epoch: [34] [ 320/5278] eta: 3:22:49 lr: 8.984004284151846e-06 loss: 0.0301 (0.0319) loss_seg: 0.0310 (0.0339) loss_lansim: 0.0708 (0.0736) loss_contra: 0.0000 (0.0019) time: 2.4887 data: 0.0024 max mem: 31671 Epoch: [34] [ 330/5278] eta: 3:22:25 lr: 8.98142485618739e-06 loss: 0.0306 (0.0320) loss_seg: 0.0321 (0.0342) loss_lansim: 0.0712 (0.0736) loss_contra: 0.0000 (0.0018) time: 2.4912 data: 0.0024 max mem: 31671 Epoch: [34] [ 340/5278] eta: 3:21:56 lr: 8.978845345909093e-06 loss: 0.0312 (0.0322) loss_seg: 0.0328 (0.0343) loss_lansim: 0.0722 (0.0736) loss_contra: 0.0000 (0.0018) time: 2.4834 data: 0.0024 max mem: 31671 Epoch: [34] [ 350/5278] eta: 3:21:42 lr: 8.976265753288033e-06 loss: 0.0306 (0.0322) loss_seg: 0.0324 (0.0343) loss_lansim: 0.0710 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4835 data: 0.0025 max mem: 31671 Epoch: [34] [ 360/5278] eta: 3:21:14 lr: 8.973686078295296e-06 loss: 0.0309 (0.0321) loss_seg: 0.0334 (0.0342) loss_lansim: 0.0722 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4868 data: 0.0025 max mem: 31671 Epoch: [34] [ 370/5278] eta: 3:20:59 lr: 8.971106320901936e-06 loss: 0.0313 (0.0322) loss_seg: 0.0334 (0.0343) loss_lansim: 0.0732 (0.0736) loss_contra: 0.0000 (0.0017) time: 2.4889 data: 0.0025 max mem: 31671 Epoch: [34] [ 380/5278] eta: 3:20:31 lr: 8.968526481079001e-06 loss: 0.0312 (0.0322) loss_seg: 0.0333 (0.0344) loss_lansim: 0.0713 (0.0736) loss_contra: 0.0000 (0.0016) time: 2.4906 data: 0.0024 max mem: 31671 Epoch: [34] [ 390/5278] eta: 3:20:02 lr: 8.965946558797494e-06 loss: 0.0306 (0.0322) loss_seg: 0.0320 (0.0343) loss_lansim: 0.0735 (0.0737) loss_contra: 0.0000 (0.0016) time: 2.4802 data: 0.0024 max mem: 31671 Epoch: [34] [ 400/5278] eta: 3:19:30 lr: 8.963366554028425e-06 loss: 0.0312 (0.0323) loss_seg: 0.0337 (0.0345) loss_lansim: 0.0713 (0.0735) loss_contra: 0.0000 (0.0016) time: 2.4639 data: 0.0024 max mem: 31671 Epoch: [34] [ 410/5278] eta: 3:18:57 lr: 8.960786466742766e-06 loss: 0.0314 (0.0323) loss_seg: 0.0342 (0.0344) loss_lansim: 0.0732 (0.0735) loss_contra: 0.0000 (0.0016) time: 2.4484 data: 0.0024 max mem: 31671 Epoch: [34] [ 420/5278] eta: 3:18:30 lr: 8.958206296911492e-06 loss: 0.0311 (0.0322) loss_seg: 0.0333 (0.0344) loss_lansim: 0.0738 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4426 data: 0.0024 max mem: 31671 Epoch: [34] [ 430/5278] eta: 3:17:59 lr: 8.955626044505526e-06 loss: 0.0306 (0.0323) loss_seg: 0.0324 (0.0345) loss_lansim: 0.0739 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4358 data: 0.0024 max mem: 31671 Epoch: [34] [ 440/5278] eta: 3:17:36 lr: 8.953045709495797e-06 loss: 0.0306 (0.0325) loss_seg: 0.0333 (0.0347) loss_lansim: 0.0738 (0.0738) loss_contra: 0.0000 (0.0015) time: 2.4405 data: 0.0024 max mem: 31671 Epoch: [34] [ 450/5278] eta: 3:17:02 lr: 8.950465291853206e-06 loss: 0.0315 (0.0326) loss_seg: 0.0342 (0.0348) loss_lansim: 0.0742 (0.0738) loss_contra: 0.0000 (0.0015) time: 2.4239 data: 0.0024 max mem: 31671 Epoch: [34] [ 460/5278] eta: 3:16:48 lr: 8.947884791548641e-06 loss: 0.0316 (0.0325) loss_seg: 0.0342 (0.0347) loss_lansim: 0.0738 (0.0738) loss_contra: 0.0000 (0.0015) time: 2.4351 data: 0.0024 max mem: 31671 Epoch: [34] [ 470/5278] eta: 3:16:24 lr: 8.945304208552952e-06 loss: 0.0311 (0.0328) loss_seg: 0.0342 (0.0350) loss_lansim: 0.0738 (0.0739) loss_contra: 0.0000 (0.0014) time: 2.4281 data: 0.0024 max mem: 31671 Epoch: [34] [ 480/5278] eta: 3:16:12 lr: 8.942723542836991e-06 loss: 0.0318 (0.0328) loss_seg: 0.0342 (0.0350) loss_lansim: 0.0733 (0.0738) loss_contra: 0.0000 (0.0014) time: 2.4435 data: 0.0025 max mem: 31671 Epoch: [34] [ 490/5278] eta: 3:15:48 lr: 8.940142794371578e-06 loss: 0.0311 (0.0328) loss_seg: 0.0336 (0.0351) loss_lansim: 0.0729 (0.0738) loss_contra: 0.0000 (0.0015) time: 2.4475 data: 0.0025 max mem: 31671 Epoch: [34] [ 500/5278] eta: 3:15:24 lr: 8.937561963127522e-06 loss: 0.0300 (0.0328) loss_seg: 0.0324 (0.0350) loss_lansim: 0.0731 (0.0737) loss_contra: 0.0000 (0.0015) time: 2.4530 data: 0.0025 max mem: 31671 Epoch: [34] [ 510/5278] eta: 3:15:00 lr: 8.934981049075596e-06 loss: 0.0303 (0.0329) loss_seg: 0.0328 (0.0351) loss_lansim: 0.0728 (0.0737) loss_contra: 0.0000 (0.0014) time: 2.4607 data: 0.0025 max mem: 31671 Epoch: [34] [ 520/5278] eta: 3:14:41 lr: 8.932400052186572e-06 loss: 0.0307 (0.0329) loss_seg: 0.0333 (0.0352) loss_lansim: 0.0728 (0.0737) loss_contra: 0.0000 (0.0014) time: 2.4694 data: 0.0025 max mem: 31671 Epoch: [34] [ 530/5278] eta: 3:14:12 lr: 8.929818972431193e-06 loss: 0.0307 (0.0329) loss_seg: 0.0332 (0.0351) loss_lansim: 0.0722 (0.0737) loss_contra: 0.0000 (0.0014) time: 2.4714 data: 0.0025 max mem: 31671 Epoch: [34] [ 540/5278] eta: 3:13:50 lr: 8.927237809780182e-06 loss: 0.0303 (0.0328) loss_seg: 0.0329 (0.0351) loss_lansim: 0.0718 (0.0737) loss_contra: 0.0000 (0.0014) time: 2.4720 data: 0.0025 max mem: 31671 Epoch: [34] [ 550/5278] eta: 3:13:28 lr: 8.92465656420425e-06 loss: 0.0299 (0.0328) loss_seg: 0.0324 (0.0351) loss_lansim: 0.0710 (0.0736) loss_contra: 0.0000 (0.0014) time: 2.4850 data: 0.0025 max mem: 31671 Epoch: [34] [ 560/5278] eta: 3:13:08 lr: 8.922075235674074e-06 loss: 0.0297 (0.0328) loss_seg: 0.0323 (0.0351) loss_lansim: 0.0707 (0.0736) loss_contra: 0.0000 (0.0014) time: 2.4809 data: 0.0025 max mem: 31671 Epoch: [34] [ 570/5278] eta: 3:12:43 lr: 8.91949382416032e-06 loss: 0.0300 (0.0329) loss_seg: 0.0324 (0.0352) loss_lansim: 0.0707 (0.0736) loss_contra: 0.0000 (0.0014) time: 2.4810 data: 0.0024 max mem: 31671 Epoch: [34] [ 580/5278] eta: 3:12:17 lr: 8.91691232963364e-06 loss: 0.0300 (0.0329) loss_seg: 0.0329 (0.0352) loss_lansim: 0.0708 (0.0737) loss_contra: 0.0000 (0.0014) time: 2.4660 data: 0.0024 max mem: 31671 Epoch: [34] [ 590/5278] eta: 3:11:50 lr: 8.914330752064661e-06 loss: 0.0305 (0.0330) loss_seg: 0.0333 (0.0353) loss_lansim: 0.0708 (0.0737) loss_contra: 0.0000 (0.0014) time: 2.4629 data: 0.0024 max mem: 31671 Epoch: [34] [ 600/5278] eta: 3:11:24 lr: 8.911749091423978e-06 loss: 0.0305 (0.0330) loss_seg: 0.0333 (0.0353) loss_lansim: 0.0723 (0.0737) loss_contra: 0.0001 (0.0014) time: 2.4613 data: 0.0023 max mem: 31671 Epoch: [34] [ 610/5278] eta: 3:10:58 lr: 8.909167347682184e-06 loss: 0.0320 (0.0331) loss_seg: 0.0346 (0.0353) loss_lansim: 0.0724 (0.0736) loss_contra: 0.0000 (0.0014) time: 2.4590 data: 0.0023 max mem: 31671 Epoch: [34] [ 620/5278] eta: 3:10:34 lr: 8.906585520809844e-06 loss: 0.0325 (0.0332) loss_seg: 0.0346 (0.0355) loss_lansim: 0.0723 (0.0736) loss_contra: 0.0000 (0.0014) time: 2.4534 data: 0.0023 max mem: 31671 Epoch: [34] [ 630/5278] eta: 3:10:15 lr: 8.904003610777511e-06 loss: 0.0330 (0.0332) loss_seg: 0.0357 (0.0355) loss_lansim: 0.0727 (0.0736) loss_contra: 0.0000 (0.0014) time: 2.4656 data: 0.0023 max mem: 31671 Epoch: [34] [ 640/5278] eta: 3:09:51 lr: 8.901421617555698e-06 loss: 0.0305 (0.0332) loss_seg: 0.0333 (0.0354) loss_lansim: 0.0727 (0.0736) loss_contra: 0.0000 (0.0014) time: 2.4645 data: 0.0023 max mem: 31671 Epoch: [34] [ 650/5278] eta: 3:09:25 lr: 8.898839541114918e-06 loss: 0.0305 (0.0331) loss_seg: 0.0333 (0.0354) loss_lansim: 0.0737 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4588 data: 0.0023 max mem: 31671 Epoch: [34] [ 660/5278] eta: 3:09:03 lr: 8.896257381425659e-06 loss: 0.0325 (0.0331) loss_seg: 0.0350 (0.0354) loss_lansim: 0.0737 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4572 data: 0.0023 max mem: 31671 Epoch: [34] [ 670/5278] eta: 3:08:36 lr: 8.893675138458392e-06 loss: 0.0305 (0.0331) loss_seg: 0.0326 (0.0354) loss_lansim: 0.0726 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4530 data: 0.0023 max mem: 31671 Epoch: [34] [ 680/5278] eta: 3:08:12 lr: 8.891092812183552e-06 loss: 0.0304 (0.0330) loss_seg: 0.0324 (0.0353) loss_lansim: 0.0725 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4572 data: 0.0023 max mem: 31671 Epoch: [34] [ 690/5278] eta: 3:07:45 lr: 8.888510402571568e-06 loss: 0.0311 (0.0331) loss_seg: 0.0326 (0.0354) loss_lansim: 0.0726 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4561 data: 0.0023 max mem: 31671 Epoch: [34] [ 700/5278] eta: 3:07:22 lr: 8.885927909592854e-06 loss: 0.0312 (0.0330) loss_seg: 0.0340 (0.0353) loss_lansim: 0.0719 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4592 data: 0.0023 max mem: 31671 Epoch: [34] [ 710/5278] eta: 3:06:55 lr: 8.883345333217794e-06 loss: 0.0304 (0.0331) loss_seg: 0.0322 (0.0354) loss_lansim: 0.0720 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4577 data: 0.0023 max mem: 31671 Epoch: [34] [ 720/5278] eta: 3:06:34 lr: 8.880762673416747e-06 loss: 0.0301 (0.0330) loss_seg: 0.0319 (0.0353) loss_lansim: 0.0719 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4633 data: 0.0023 max mem: 31671 Epoch: [34] [ 730/5278] eta: 3:06:04 lr: 8.878179930160063e-06 loss: 0.0292 (0.0330) loss_seg: 0.0315 (0.0353) loss_lansim: 0.0715 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4471 data: 0.0023 max mem: 31671 Epoch: [34] [ 740/5278] eta: 3:05:39 lr: 8.87559710341807e-06 loss: 0.0301 (0.0330) loss_seg: 0.0317 (0.0353) loss_lansim: 0.0715 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4459 data: 0.0023 max mem: 31671 Epoch: [34] [ 750/5278] eta: 3:05:10 lr: 8.873014193161077e-06 loss: 0.0301 (0.0330) loss_seg: 0.0315 (0.0352) loss_lansim: 0.0717 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4400 data: 0.0023 max mem: 31671 Epoch: [34] [ 760/5278] eta: 3:04:46 lr: 8.870431199359359e-06 loss: 0.0292 (0.0330) loss_seg: 0.0314 (0.0353) loss_lansim: 0.0718 (0.0735) loss_contra: 0.0000 (0.0013) time: 2.4376 data: 0.0023 max mem: 31671 Epoch: [34] [ 770/5278] eta: 3:04:22 lr: 8.867848121983188e-06 loss: 0.0305 (0.0331) loss_seg: 0.0319 (0.0354) loss_lansim: 0.0718 (0.0735) loss_contra: 0.0000 (0.0013) time: 2.4424 data: 0.0023 max mem: 31671 Epoch: [34] [ 780/5278] eta: 3:03:55 lr: 8.865264961002809e-06 loss: 0.0291 (0.0330) loss_seg: 0.0314 (0.0353) loss_lansim: 0.0720 (0.0734) loss_contra: 0.0000 (0.0013) time: 2.4362 data: 0.0023 max mem: 31671 Epoch: [34] [ 790/5278] eta: 3:03:31 lr: 8.862681716388446e-06 loss: 0.0287 (0.0330) loss_seg: 0.0309 (0.0354) loss_lansim: 0.0721 (0.0735) loss_contra: 0.0000 (0.0013) time: 2.4396 data: 0.0023 max mem: 31671 Epoch: [34] [ 800/5278] eta: 3:03:00 lr: 8.860098388110311e-06 loss: 0.0289 (0.0330) loss_seg: 0.0314 (0.0353) loss_lansim: 0.0721 (0.0735) loss_contra: 0.0000 (0.0013) time: 2.4273 data: 0.0023 max mem: 31671 Epoch: [34] [ 810/5278] eta: 3:02:36 lr: 8.857514976138576e-06 loss: 0.0294 (0.0330) loss_seg: 0.0316 (0.0353) loss_lansim: 0.0725 (0.0735) loss_contra: 0.0000 (0.0013) time: 2.4319 data: 0.0023 max mem: 31671 Epoch: [34] [ 820/5278] eta: 3:02:09 lr: 8.85493148044341e-06 loss: 0.0305 (0.0331) loss_seg: 0.0323 (0.0354) loss_lansim: 0.0730 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4203 data: 0.0023 max mem: 31671 Epoch: [34] [ 830/5278] eta: 3:01:43 lr: 8.852347900994958e-06 loss: 0.0306 (0.0331) loss_seg: 0.0327 (0.0354) loss_lansim: 0.0730 (0.0735) loss_contra: 0.0000 (0.0013) time: 2.4248 data: 0.0024 max mem: 31671 Epoch: [34] [ 840/5278] eta: 3:01:16 lr: 8.84976423776335e-06 loss: 0.0306 (0.0332) loss_seg: 0.0324 (0.0355) loss_lansim: 0.0730 (0.0735) loss_contra: 0.0000 (0.0013) time: 2.4203 data: 0.0024 max mem: 31671 Epoch: [34] [ 850/5278] eta: 3:00:51 lr: 8.847180490718676e-06 loss: 0.0308 (0.0332) loss_seg: 0.0330 (0.0355) loss_lansim: 0.0731 (0.0736) loss_contra: 0.0000 (0.0012) time: 2.4272 data: 0.0024 max mem: 31671 Epoch: [34] [ 860/5278] eta: 3:00:28 lr: 8.844596659831025e-06 loss: 0.0316 (0.0333) loss_seg: 0.0330 (0.0356) loss_lansim: 0.0731 (0.0736) loss_contra: 0.0000 (0.0012) time: 2.4283 data: 0.0024 max mem: 31671 Epoch: [34] [ 870/5278] eta: 3:00:04 lr: 8.84201274507046e-06 loss: 0.0307 (0.0333) loss_seg: 0.0329 (0.0356) loss_lansim: 0.0737 (0.0736) loss_contra: 0.0000 (0.0012) time: 2.4278 data: 0.0024 max mem: 31671 Epoch: [34] [ 880/5278] eta: 2:59:41 lr: 8.83942874640703e-06 loss: 0.0325 (0.0332) loss_seg: 0.0353 (0.0355) loss_lansim: 0.0731 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4348 data: 0.0025 max mem: 31671 Epoch: [34] [ 890/5278] eta: 2:59:14 lr: 8.83684466381074e-06 loss: 0.0329 (0.0333) loss_seg: 0.0356 (0.0356) loss_lansim: 0.0730 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4312 data: 0.0025 max mem: 31671 Epoch: [34] [ 900/5278] eta: 2:58:50 lr: 8.834260497251603e-06 loss: 0.0329 (0.0333) loss_seg: 0.0353 (0.0356) loss_lansim: 0.0731 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4424 data: 0.0025 max mem: 31671 Epoch: [34] [ 910/5278] eta: 2:58:26 lr: 8.831676246699596e-06 loss: 0.0329 (0.0336) loss_seg: 0.0353 (0.0360) loss_lansim: 0.0726 (0.0736) loss_contra: 0.0000 (0.0013) time: 2.4409 data: 0.0025 max mem: 31671 Epoch: [34] [ 920/5278] eta: 2:58:01 lr: 8.829091912124685e-06 loss: 0.0309 (0.0336) loss_seg: 0.0337 (0.0360) loss_lansim: 0.0722 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4447 data: 0.0025 max mem: 31671 Epoch: [34] [ 930/5278] eta: 2:57:33 lr: 8.826507493496801e-06 loss: 0.0332 (0.0338) loss_seg: 0.0361 (0.0362) loss_lansim: 0.0723 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4423 data: 0.0025 max mem: 31671 Epoch: [34] [ 940/5278] eta: 2:57:07 lr: 8.823922990785865e-06 loss: 0.0341 (0.0339) loss_seg: 0.0371 (0.0363) loss_lansim: 0.0722 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4416 data: 0.0024 max mem: 31671 Epoch: [34] [ 950/5278] eta: 2:56:42 lr: 8.821338403961778e-06 loss: 0.0341 (0.0340) loss_seg: 0.0364 (0.0363) loss_lansim: 0.0718 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4416 data: 0.0024 max mem: 31671 Epoch: [34] [ 960/5278] eta: 2:56:14 lr: 8.818753732994422e-06 loss: 0.0341 (0.0340) loss_seg: 0.0361 (0.0363) loss_lansim: 0.0718 (0.0737) loss_contra: 0.0000 (0.0015) time: 2.4317 data: 0.0024 max mem: 31671 Epoch: [34] [ 970/5278] eta: 2:55:49 lr: 8.816168977853645e-06 loss: 0.0336 (0.0339) loss_seg: 0.0348 (0.0363) loss_lansim: 0.0718 (0.0737) loss_contra: 0.0000 (0.0015) time: 2.4304 data: 0.0024 max mem: 31671 Epoch: [34] [ 980/5278] eta: 2:55:26 lr: 8.813584138509287e-06 loss: 0.0328 (0.0339) loss_seg: 0.0346 (0.0363) loss_lansim: 0.0718 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4299 data: 0.0024 max mem: 31671 Epoch: [34] [ 990/5278] eta: 2:55:07 lr: 8.810999214931166e-06 loss: 0.0328 (0.0340) loss_seg: 0.0346 (0.0363) loss_lansim: 0.0717 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4472 data: 0.0023 max mem: 31671 Epoch: [34] [1000/5278] eta: 2:54:43 lr: 8.808414207089081e-06 loss: 0.0336 (0.0340) loss_seg: 0.0356 (0.0364) loss_lansim: 0.0715 (0.0736) loss_contra: 0.0000 (0.0015) time: 2.4467 data: 0.0023 max mem: 31671 Epoch: [34] [1010/5278] eta: 2:54:17 lr: 8.805829114952799e-06 loss: 0.0332 (0.0340) loss_seg: 0.0352 (0.0364) loss_lansim: 0.0713 (0.0735) loss_contra: 0.0000 (0.0015) time: 2.4418 data: 0.0023 max mem: 31671 Epoch: [34] [1020/5278] eta: 2:53:53 lr: 8.803243938492075e-06 loss: 0.0321 (0.0340) loss_seg: 0.0346 (0.0363) loss_lansim: 0.0711 (0.0735) loss_contra: 0.0000 (0.0015) time: 2.4441 data: 0.0023 max mem: 31671 Epoch: [34] [1030/5278] eta: 2:53:29 lr: 8.800658677676647e-06 loss: 0.0312 (0.0339) loss_seg: 0.0339 (0.0363) loss_lansim: 0.0701 (0.0735) loss_contra: 0.0000 (0.0015) time: 2.4512 data: 0.0023 max mem: 31671 Epoch: [34] [1040/5278] eta: 2:53:05 lr: 8.798073332476223e-06 loss: 0.0304 (0.0339) loss_seg: 0.0320 (0.0363) loss_lansim: 0.0698 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4594 data: 0.0022 max mem: 31671 Epoch: [34] [1050/5278] eta: 2:52:43 lr: 8.795487902860504e-06 loss: 0.0289 (0.0339) loss_seg: 0.0317 (0.0362) loss_lansim: 0.0695 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4653 data: 0.0022 max mem: 31671 Epoch: [34] [1060/5278] eta: 2:52:20 lr: 8.792902388799147e-06 loss: 0.0293 (0.0339) loss_seg: 0.0318 (0.0362) loss_lansim: 0.0685 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4757 data: 0.0022 max mem: 31671 Epoch: [34] [1070/5278] eta: 2:51:51 lr: 8.79031679026181e-06 loss: 0.0289 (0.0338) loss_seg: 0.0311 (0.0361) loss_lansim: 0.0695 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4664 data: 0.0022 max mem: 31671 Epoch: [34] [1080/5278] eta: 2:51:25 lr: 8.78773110721812e-06 loss: 0.0297 (0.0338) loss_seg: 0.0320 (0.0361) loss_lansim: 0.0700 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4589 data: 0.0022 max mem: 31671 Epoch: [34] [1090/5278] eta: 2:51:02 lr: 8.785145339637694e-06 loss: 0.0284 (0.0338) loss_seg: 0.0304 (0.0362) loss_lansim: 0.0709 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4501 data: 0.0022 max mem: 31671 Epoch: [34] [1100/5278] eta: 2:50:36 lr: 8.782559487490108e-06 loss: 0.0284 (0.0338) loss_seg: 0.0304 (0.0361) loss_lansim: 0.0715 (0.0734) loss_contra: 0.0000 (0.0014) time: 2.4443 data: 0.0023 max mem: 31671 Epoch: [34] [1110/5278] eta: 2:50:09 lr: 8.77997355074493e-06 loss: 0.0291 (0.0338) loss_seg: 0.0309 (0.0362) loss_lansim: 0.0723 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4425 data: 0.0023 max mem: 31671 Epoch: [34] [1120/5278] eta: 2:49:42 lr: 8.777387529371712e-06 loss: 0.0293 (0.0339) loss_seg: 0.0311 (0.0362) loss_lansim: 0.0728 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4351 data: 0.0023 max mem: 31671 Epoch: [34] [1130/5278] eta: 2:49:16 lr: 8.774801423339981e-06 loss: 0.0299 (0.0339) loss_seg: 0.0318 (0.0362) loss_lansim: 0.0728 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4294 data: 0.0023 max mem: 31671 Epoch: [34] [1140/5278] eta: 2:48:52 lr: 8.772215232619232e-06 loss: 0.0291 (0.0338) loss_seg: 0.0311 (0.0361) loss_lansim: 0.0727 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4262 data: 0.0023 max mem: 31671 Epoch: [34] [1150/5278] eta: 2:48:27 lr: 8.769628957178948e-06 loss: 0.0297 (0.0338) loss_seg: 0.0313 (0.0361) loss_lansim: 0.0728 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4202 data: 0.0023 max mem: 31671 Epoch: [34] [1160/5278] eta: 2:48:01 lr: 8.767042596988597e-06 loss: 0.0297 (0.0338) loss_seg: 0.0313 (0.0362) loss_lansim: 0.0734 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4147 data: 0.0024 max mem: 31671 Epoch: [34] [1170/5278] eta: 2:47:41 lr: 8.764456152017622e-06 loss: 0.0320 (0.0339) loss_seg: 0.0348 (0.0362) loss_lansim: 0.0736 (0.0736) loss_contra: 0.0000 (0.0014) time: 2.4362 data: 0.0024 max mem: 31671 Epoch: [34] [1180/5278] eta: 2:47:18 lr: 8.761869622235435e-06 loss: 0.0317 (0.0340) loss_seg: 0.0340 (0.0364) loss_lansim: 0.0734 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4443 data: 0.0024 max mem: 31671 Epoch: [34] [1190/5278] eta: 2:46:52 lr: 8.759283007611436e-06 loss: 0.0316 (0.0340) loss_seg: 0.0340 (0.0364) loss_lansim: 0.0734 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4366 data: 0.0024 max mem: 31671 Epoch: [34] [1200/5278] eta: 2:46:26 lr: 8.756696308115007e-06 loss: 0.0311 (0.0340) loss_seg: 0.0336 (0.0364) loss_lansim: 0.0736 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4357 data: 0.0024 max mem: 31671 Epoch: [34] [1210/5278] eta: 2:46:01 lr: 8.754109523715507e-06 loss: 0.0306 (0.0340) loss_seg: 0.0335 (0.0363) loss_lansim: 0.0737 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4405 data: 0.0024 max mem: 31671 Epoch: [34] [1220/5278] eta: 2:45:37 lr: 8.75152265438226e-06 loss: 0.0306 (0.0339) loss_seg: 0.0335 (0.0363) loss_lansim: 0.0731 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4476 data: 0.0024 max mem: 31671 Epoch: [34] [1230/5278] eta: 2:45:13 lr: 8.74893570008459e-06 loss: 0.0306 (0.0339) loss_seg: 0.0334 (0.0363) loss_lansim: 0.0721 (0.0735) loss_contra: 0.0000 (0.0014) time: 2.4550 data: 0.0024 max mem: 31671 Epoch: [34] [1240/5278] eta: 2:44:52 lr: 8.746348660791787e-06 loss: 0.0306 (0.0339) loss_seg: 0.0335 (0.0362) loss_lansim: 0.0731 (0.0734) loss_contra: 0.0000 (0.0014) time: 2.4655 data: 0.0024 max mem: 31671 Epoch: [34] [1250/5278] eta: 2:44:25 lr: 8.74376153647313e-06 loss: 0.0311 (0.0339) loss_seg: 0.0337 (0.0363) loss_lansim: 0.0718 (0.0734) loss_contra: 0.0000 (0.0014) time: 2.4590 data: 0.0024 max mem: 31671 Epoch: [34] [1260/5278] eta: 2:44:02 lr: 8.741174327097857e-06 loss: 0.0306 (0.0339) loss_seg: 0.0335 (0.0362) loss_lansim: 0.0707 (0.0734) loss_contra: 0.0000 (0.0014) time: 2.4641 data: 0.0024 max mem: 31671 Epoch: [34] [1270/5278] eta: 2:43:39 lr: 8.738587032635203e-06 loss: 0.0301 (0.0339) loss_seg: 0.0320 (0.0362) loss_lansim: 0.0702 (0.0734) loss_contra: 0.0000 (0.0014) time: 2.4566 data: 0.0024 max mem: 31671 Epoch: [34] [1280/5278] eta: 2:43:13 lr: 8.735999653054377e-06 loss: 0.0301 (0.0339) loss_seg: 0.0322 (0.0363) loss_lansim: 0.0707 (0.0734) loss_contra: 0.0000 (0.0014) time: 2.4489 data: 0.0024 max mem: 31671 Epoch: [34] [1290/5278] eta: 2:42:50 lr: 8.733412188324567e-06 loss: 0.0301 (0.0340) loss_seg: 0.0330 (0.0363) loss_lansim: 0.0707 (0.0733) loss_contra: 0.0000 (0.0014) time: 2.4575 data: 0.0024 max mem: 31671 Epoch: [34] [1300/5278] eta: 2:42:24 lr: 8.730824638414943e-06 loss: 0.0298 (0.0340) loss_seg: 0.0322 (0.0363) loss_lansim: 0.0699 (0.0733) loss_contra: 0.0000 (0.0014) time: 2.4592 data: 0.0023 max mem: 31671 Epoch: [34] [1310/5278] eta: 2:42:00 lr: 8.72823700329464e-06 loss: 0.0301 (0.0340) loss_seg: 0.0330 (0.0363) loss_lansim: 0.0700 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4621 data: 0.0024 max mem: 31671 Epoch: [34] [1320/5278] eta: 2:41:37 lr: 8.725649282932783e-06 loss: 0.0301 (0.0340) loss_seg: 0.0322 (0.0363) loss_lansim: 0.0702 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4678 data: 0.0023 max mem: 31671 Epoch: [34] [1330/5278] eta: 2:41:15 lr: 8.723061477298478e-06 loss: 0.0304 (0.0339) loss_seg: 0.0330 (0.0363) loss_lansim: 0.0709 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4705 data: 0.0023 max mem: 31671 Epoch: [34] [1340/5278] eta: 2:40:48 lr: 8.720473586360808e-06 loss: 0.0307 (0.0339) loss_seg: 0.0331 (0.0362) loss_lansim: 0.0709 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4517 data: 0.0023 max mem: 31671 Epoch: [34] [1350/5278] eta: 2:40:23 lr: 8.717885610088818e-06 loss: 0.0304 (0.0339) loss_seg: 0.0322 (0.0362) loss_lansim: 0.0707 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4568 data: 0.0023 max mem: 31671 Epoch: [34] [1360/5278] eta: 2:40:01 lr: 8.715297548451558e-06 loss: 0.0304 (0.0338) loss_seg: 0.0324 (0.0361) loss_lansim: 0.0709 (0.0732) loss_contra: 0.0000 (0.0016) time: 2.4636 data: 0.0024 max mem: 31671 Epoch: [34] [1370/5278] eta: 2:39:35 lr: 8.712709401418038e-06 loss: 0.0304 (0.0338) loss_seg: 0.0324 (0.0362) loss_lansim: 0.0712 (0.0732) loss_contra: 0.0000 (0.0016) time: 2.4559 data: 0.0024 max mem: 31671 Epoch: [34] [1380/5278] eta: 2:39:10 lr: 8.710121168957263e-06 loss: 0.0304 (0.0338) loss_seg: 0.0322 (0.0361) loss_lansim: 0.0712 (0.0732) loss_contra: 0.0000 (0.0016) time: 2.4564 data: 0.0023 max mem: 31671 Epoch: [34] [1390/5278] eta: 2:38:44 lr: 8.70753285103819e-06 loss: 0.0298 (0.0338) loss_seg: 0.0317 (0.0362) loss_lansim: 0.0723 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4459 data: 0.0023 max mem: 31671 Epoch: [34] [1400/5278] eta: 2:38:19 lr: 8.70494444762978e-06 loss: 0.0304 (0.0338) loss_seg: 0.0324 (0.0362) loss_lansim: 0.0724 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4503 data: 0.0023 max mem: 31671 Epoch: [34] [1410/5278] eta: 2:37:54 lr: 8.702355958700958e-06 loss: 0.0298 (0.0340) loss_seg: 0.0324 (0.0363) loss_lansim: 0.0723 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4469 data: 0.0023 max mem: 31671 Epoch: [34] [1420/5278] eta: 2:37:31 lr: 8.699767384220642e-06 loss: 0.0306 (0.0340) loss_seg: 0.0327 (0.0364) loss_lansim: 0.0724 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4444 data: 0.0023 max mem: 31671 Epoch: [34] [1430/5278] eta: 2:37:05 lr: 8.697178724157708e-06 loss: 0.0309 (0.0341) loss_seg: 0.0330 (0.0364) loss_lansim: 0.0714 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4339 data: 0.0023 max mem: 31671 Epoch: [34] [1440/5278] eta: 2:36:41 lr: 8.694589978481024e-06 loss: 0.0309 (0.0340) loss_seg: 0.0326 (0.0364) loss_lansim: 0.0713 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4445 data: 0.0024 max mem: 31671 Epoch: [34] [1450/5278] eta: 2:36:16 lr: 8.692001147159435e-06 loss: 0.0316 (0.0340) loss_seg: 0.0330 (0.0364) loss_lansim: 0.0716 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4428 data: 0.0024 max mem: 31671 Epoch: [34] [1460/5278] eta: 2:35:51 lr: 8.68941223016177e-06 loss: 0.0321 (0.0340) loss_seg: 0.0339 (0.0363) loss_lansim: 0.0714 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4313 data: 0.0024 max mem: 31671 Epoch: [34] [1470/5278] eta: 2:35:25 lr: 8.686823227456816e-06 loss: 0.0321 (0.0340) loss_seg: 0.0334 (0.0363) loss_lansim: 0.0713 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4299 data: 0.0024 max mem: 31671 Epoch: [34] [1480/5278] eta: 2:35:01 lr: 8.684234139013355e-06 loss: 0.0306 (0.0339) loss_seg: 0.0327 (0.0362) loss_lansim: 0.0711 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4366 data: 0.0024 max mem: 31671 Epoch: [34] [1490/5278] eta: 2:34:38 lr: 8.681644964800148e-06 loss: 0.0316 (0.0340) loss_seg: 0.0336 (0.0363) loss_lansim: 0.0709 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4451 data: 0.0024 max mem: 31671 Epoch: [34] [1500/5278] eta: 2:34:12 lr: 8.679055704785934e-06 loss: 0.0306 (0.0339) loss_seg: 0.0317 (0.0363) loss_lansim: 0.0713 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4402 data: 0.0024 max mem: 31671 Epoch: [34] [1510/5278] eta: 2:33:48 lr: 8.676466358939413e-06 loss: 0.0306 (0.0340) loss_seg: 0.0317 (0.0363) loss_lansim: 0.0713 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4421 data: 0.0024 max mem: 31671 Epoch: [34] [1520/5278] eta: 2:33:22 lr: 8.673876927229286e-06 loss: 0.0306 (0.0340) loss_seg: 0.0316 (0.0364) loss_lansim: 0.0707 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4326 data: 0.0024 max mem: 31671 Epoch: [34] [1530/5278] eta: 2:32:56 lr: 8.671287409624219e-06 loss: 0.0289 (0.0340) loss_seg: 0.0310 (0.0363) loss_lansim: 0.0712 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4345 data: 0.0024 max mem: 31671 Epoch: [34] [1540/5278] eta: 2:32:29 lr: 8.668697806092862e-06 loss: 0.0302 (0.0340) loss_seg: 0.0309 (0.0364) loss_lansim: 0.0717 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4210 data: 0.0024 max mem: 31671 Epoch: [34] [1550/5278] eta: 2:32:05 lr: 8.666108116603847e-06 loss: 0.0302 (0.0340) loss_seg: 0.0309 (0.0363) loss_lansim: 0.0731 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4241 data: 0.0023 max mem: 31671 Epoch: [34] [1560/5278] eta: 2:31:40 lr: 8.663518341125765e-06 loss: 0.0302 (0.0340) loss_seg: 0.0312 (0.0363) loss_lansim: 0.0728 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4240 data: 0.0023 max mem: 31671 Epoch: [34] [1570/5278] eta: 2:31:16 lr: 8.660928479627204e-06 loss: 0.0302 (0.0340) loss_seg: 0.0309 (0.0363) loss_lansim: 0.0731 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4309 data: 0.0023 max mem: 31671 Epoch: [34] [1580/5278] eta: 2:30:52 lr: 8.658338532076726e-06 loss: 0.0310 (0.0340) loss_seg: 0.0323 (0.0363) loss_lansim: 0.0731 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4321 data: 0.0024 max mem: 31671 Epoch: [34] [1590/5278] eta: 2:30:28 lr: 8.655748498442876e-06 loss: 0.0304 (0.0341) loss_seg: 0.0321 (0.0364) loss_lansim: 0.0728 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4283 data: 0.0024 max mem: 31671 Epoch: [34] [1600/5278] eta: 2:30:03 lr: 8.653158378694154e-06 loss: 0.0306 (0.0341) loss_seg: 0.0328 (0.0364) loss_lansim: 0.0719 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4324 data: 0.0024 max mem: 31671 Epoch: [34] [1610/5278] eta: 2:29:37 lr: 8.650568172799064e-06 loss: 0.0307 (0.0341) loss_seg: 0.0330 (0.0364) loss_lansim: 0.0732 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4264 data: 0.0024 max mem: 31671 Epoch: [34] [1620/5278] eta: 2:29:13 lr: 8.647977880726078e-06 loss: 0.0304 (0.0341) loss_seg: 0.0329 (0.0364) loss_lansim: 0.0733 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4311 data: 0.0024 max mem: 31671 Epoch: [34] [1630/5278] eta: 2:28:48 lr: 8.645387502443652e-06 loss: 0.0311 (0.0341) loss_seg: 0.0333 (0.0365) loss_lansim: 0.0733 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4332 data: 0.0024 max mem: 31671 Epoch: [34] [1640/5278] eta: 2:28:23 lr: 8.642797037920201e-06 loss: 0.0322 (0.0342) loss_seg: 0.0341 (0.0365) loss_lansim: 0.0732 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4427 data: 0.0024 max mem: 31671 Epoch: [34] [1650/5278] eta: 2:27:58 lr: 8.64020648712414e-06 loss: 0.0311 (0.0341) loss_seg: 0.0333 (0.0365) loss_lansim: 0.0727 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4374 data: 0.0024 max mem: 31671 Epoch: [34] [1660/5278] eta: 2:27:33 lr: 8.63761585002385e-06 loss: 0.0322 (0.0341) loss_seg: 0.0341 (0.0364) loss_lansim: 0.0725 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4398 data: 0.0024 max mem: 31671 Epoch: [34] [1670/5278] eta: 2:27:10 lr: 8.635025126587703e-06 loss: 0.0324 (0.0341) loss_seg: 0.0346 (0.0365) loss_lansim: 0.0728 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4408 data: 0.0024 max mem: 31671 Epoch: [34] [1680/5278] eta: 2:26:44 lr: 8.632434316784022e-06 loss: 0.0303 (0.0341) loss_seg: 0.0328 (0.0364) loss_lansim: 0.0728 (0.0732) loss_contra: 0.0000 (0.0015) time: 2.4324 data: 0.0024 max mem: 31671 Epoch: [34] [1690/5278] eta: 2:26:20 lr: 8.629843420581133e-06 loss: 0.0304 (0.0341) loss_seg: 0.0327 (0.0364) loss_lansim: 0.0728 (0.0732) loss_contra: 0.0000 (0.0016) time: 2.4318 data: 0.0023 max mem: 31671 Epoch: [34] [1700/5278] eta: 2:25:54 lr: 8.627252437947332e-06 loss: 0.0298 (0.0341) loss_seg: 0.0316 (0.0364) loss_lansim: 0.0728 (0.0732) loss_contra: 0.0000 (0.0016) time: 2.4277 data: 0.0023 max mem: 31671 Epoch: [34] [1710/5278] eta: 2:25:29 lr: 8.624661368850896e-06 loss: 0.0296 (0.0340) loss_seg: 0.0314 (0.0364) loss_lansim: 0.0723 (0.0732) loss_contra: 0.0000 (0.0016) time: 2.4310 data: 0.0023 max mem: 31671 Epoch: [34] [1720/5278] eta: 2:25:05 lr: 8.622070213260066e-06 loss: 0.0292 (0.0341) loss_seg: 0.0310 (0.0364) loss_lansim: 0.0723 (0.0732) loss_contra: 0.0000 (0.0016) time: 2.4322 data: 0.0024 max mem: 31671 Epoch: [34] [1730/5278] eta: 2:24:41 lr: 8.619478971143079e-06 loss: 0.0285 (0.0340) loss_seg: 0.0308 (0.0364) loss_lansim: 0.0723 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4333 data: 0.0024 max mem: 31671 Epoch: [34] [1740/5278] eta: 2:24:15 lr: 8.616887642468136e-06 loss: 0.0287 (0.0341) loss_seg: 0.0309 (0.0364) loss_lansim: 0.0728 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4287 data: 0.0024 max mem: 31671 Epoch: [34] [1750/5278] eta: 2:23:52 lr: 8.614296227203431e-06 loss: 0.0292 (0.0341) loss_seg: 0.0308 (0.0364) loss_lansim: 0.0735 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4439 data: 0.0024 max mem: 31671 Epoch: [34] [1760/5278] eta: 2:23:29 lr: 8.611704725317113e-06 loss: 0.0285 (0.0341) loss_seg: 0.0307 (0.0364) loss_lansim: 0.0755 (0.0733) loss_contra: 0.0000 (0.0016) time: 2.4499 data: 0.0024 max mem: 31671 Epoch: [34] [1770/5278] eta: 2:23:04 lr: 8.609113136777326e-06 loss: 0.0287 (0.0341) loss_seg: 0.0310 (0.0364) loss_lansim: 0.0755 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4407 data: 0.0024 max mem: 31671 Epoch: [34] [1780/5278] eta: 2:22:40 lr: 8.606521461552189e-06 loss: 0.0305 (0.0341) loss_seg: 0.0330 (0.0365) loss_lansim: 0.0757 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4501 data: 0.0023 max mem: 31671 Epoch: [34] [1790/5278] eta: 2:22:16 lr: 8.603929699609795e-06 loss: 0.0305 (0.0341) loss_seg: 0.0330 (0.0365) loss_lansim: 0.0757 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4520 data: 0.0023 max mem: 31671 Epoch: [34] [1800/5278] eta: 2:21:52 lr: 8.601337850918224e-06 loss: 0.0314 (0.0341) loss_seg: 0.0335 (0.0365) loss_lansim: 0.0757 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4607 data: 0.0023 max mem: 31671 Epoch: [34] [1810/5278] eta: 2:21:27 lr: 8.598745915445512e-06 loss: 0.0305 (0.0341) loss_seg: 0.0334 (0.0364) loss_lansim: 0.0757 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4581 data: 0.0023 max mem: 31671 Epoch: [34] [1820/5278] eta: 2:21:01 lr: 8.596153893159694e-06 loss: 0.0311 (0.0341) loss_seg: 0.0335 (0.0364) loss_lansim: 0.0767 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4512 data: 0.0023 max mem: 31671 Epoch: [34] [1830/5278] eta: 2:20:35 lr: 8.593561784028773e-06 loss: 0.0311 (0.0341) loss_seg: 0.0335 (0.0365) loss_lansim: 0.0765 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4447 data: 0.0023 max mem: 31671 Epoch: [34] [1840/5278] eta: 2:20:11 lr: 8.590969588020741e-06 loss: 0.0305 (0.0341) loss_seg: 0.0329 (0.0364) loss_lansim: 0.0757 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4502 data: 0.0022 max mem: 31671 Epoch: [34] [1850/5278] eta: 2:19:46 lr: 8.58837730510354e-06 loss: 0.0305 (0.0341) loss_seg: 0.0334 (0.0365) loss_lansim: 0.0757 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4392 data: 0.0022 max mem: 31671 Epoch: [34] [1860/5278] eta: 2:19:22 lr: 8.585784935245116e-06 loss: 0.0312 (0.0341) loss_seg: 0.0341 (0.0365) loss_lansim: 0.0737 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4327 data: 0.0022 max mem: 31671 Epoch: [34] [1870/5278] eta: 2:18:59 lr: 8.583192478413386e-06 loss: 0.0328 (0.0342) loss_seg: 0.0342 (0.0366) loss_lansim: 0.0731 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4462 data: 0.0022 max mem: 31671 Epoch: [34] [1880/5278] eta: 2:18:33 lr: 8.580599934576246e-06 loss: 0.0312 (0.0342) loss_seg: 0.0341 (0.0366) loss_lansim: 0.0742 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4343 data: 0.0023 max mem: 31671 Epoch: [34] [1890/5278] eta: 2:18:10 lr: 8.578007303701551e-06 loss: 0.0305 (0.0342) loss_seg: 0.0329 (0.0366) loss_lansim: 0.0745 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4409 data: 0.0023 max mem: 31671 Epoch: [34] [1900/5278] eta: 2:17:45 lr: 8.575414585757158e-06 loss: 0.0303 (0.0342) loss_seg: 0.0329 (0.0365) loss_lansim: 0.0734 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4363 data: 0.0023 max mem: 31671 Epoch: [34] [1910/5278] eta: 2:17:21 lr: 8.572821780710889e-06 loss: 0.0306 (0.0342) loss_seg: 0.0330 (0.0365) loss_lansim: 0.0735 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4392 data: 0.0023 max mem: 31671 Epoch: [34] [1920/5278] eta: 2:16:56 lr: 8.57022888853055e-06 loss: 0.0306 (0.0342) loss_seg: 0.0330 (0.0365) loss_lansim: 0.0724 (0.0735) loss_contra: 0.0000 (0.0017) time: 2.4444 data: 0.0023 max mem: 31671 Epoch: [34] [1930/5278] eta: 2:16:33 lr: 8.567635909183908e-06 loss: 0.0311 (0.0342) loss_seg: 0.0341 (0.0365) loss_lansim: 0.0709 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4608 data: 0.0023 max mem: 31671 Epoch: [34] [1940/5278] eta: 2:16:09 lr: 8.565042842638728e-06 loss: 0.0314 (0.0341) loss_seg: 0.0346 (0.0365) loss_lansim: 0.0700 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4651 data: 0.0023 max mem: 31671 Epoch: [34] [1950/5278] eta: 2:15:44 lr: 8.562449688862738e-06 loss: 0.0317 (0.0341) loss_seg: 0.0348 (0.0365) loss_lansim: 0.0717 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4610 data: 0.0023 max mem: 31671 Epoch: [34] [1960/5278] eta: 2:15:20 lr: 8.559856447823658e-06 loss: 0.0318 (0.0342) loss_seg: 0.0349 (0.0365) loss_lansim: 0.0724 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4655 data: 0.0023 max mem: 31671 Epoch: [34] [1970/5278] eta: 2:14:54 lr: 8.557263119489163e-06 loss: 0.0317 (0.0342) loss_seg: 0.0346 (0.0366) loss_lansim: 0.0724 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4500 data: 0.0023 max mem: 31671 Epoch: [34] [1980/5278] eta: 2:14:29 lr: 8.554669703826921e-06 loss: 0.0318 (0.0342) loss_seg: 0.0348 (0.0366) loss_lansim: 0.0717 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4536 data: 0.0023 max mem: 31671 Epoch: [34] [1990/5278] eta: 2:14:05 lr: 8.552076200804578e-06 loss: 0.0322 (0.0342) loss_seg: 0.0351 (0.0366) loss_lansim: 0.0722 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [34] [2000/5278] eta: 2:13:41 lr: 8.549482610389747e-06 loss: 0.0329 (0.0342) loss_seg: 0.0355 (0.0366) loss_lansim: 0.0712 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4514 data: 0.0024 max mem: 31671 Epoch: [34] [2010/5278] eta: 2:13:18 lr: 8.546888932550036e-06 loss: 0.0329 (0.0342) loss_seg: 0.0356 (0.0366) loss_lansim: 0.0704 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4587 data: 0.0024 max mem: 31671 Epoch: [34] [2020/5278] eta: 2:12:54 lr: 8.544295167253002e-06 loss: 0.0329 (0.0342) loss_seg: 0.0356 (0.0366) loss_lansim: 0.0718 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4614 data: 0.0024 max mem: 31671 Epoch: [34] [2030/5278] eta: 2:12:29 lr: 8.5417013144662e-06 loss: 0.0335 (0.0342) loss_seg: 0.0357 (0.0366) loss_lansim: 0.0727 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4514 data: 0.0024 max mem: 31671 Epoch: [34] [2040/5278] eta: 2:12:04 lr: 8.539107374157162e-06 loss: 0.0328 (0.0342) loss_seg: 0.0356 (0.0365) loss_lansim: 0.0738 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4416 data: 0.0024 max mem: 31671 Epoch: [34] [2050/5278] eta: 2:11:39 lr: 8.536513346293394e-06 loss: 0.0320 (0.0342) loss_seg: 0.0344 (0.0365) loss_lansim: 0.0732 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4450 data: 0.0024 max mem: 31671 Epoch: [34] [2060/5278] eta: 2:11:14 lr: 8.533919230842365e-06 loss: 0.0318 (0.0342) loss_seg: 0.0339 (0.0366) loss_lansim: 0.0734 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4388 data: 0.0024 max mem: 31671 Epoch: [34] [2070/5278] eta: 2:10:50 lr: 8.53132502777154e-06 loss: 0.0317 (0.0342) loss_seg: 0.0338 (0.0366) loss_lansim: 0.0727 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4515 data: 0.0024 max mem: 31671 Epoch: [34] [2080/5278] eta: 2:10:26 lr: 8.528730737048352e-06 loss: 0.0313 (0.0343) loss_seg: 0.0332 (0.0367) loss_lansim: 0.0729 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4566 data: 0.0024 max mem: 31671 Epoch: [34] [2090/5278] eta: 2:10:02 lr: 8.526136358640223e-06 loss: 0.0312 (0.0344) loss_seg: 0.0326 (0.0367) loss_lansim: 0.0720 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4586 data: 0.0023 max mem: 31671 Epoch: [34] [2100/5278] eta: 2:09:38 lr: 8.523541892514525e-06 loss: 0.0306 (0.0344) loss_seg: 0.0320 (0.0367) loss_lansim: 0.0727 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4536 data: 0.0023 max mem: 31671 Epoch: [34] [2110/5278] eta: 2:09:13 lr: 8.52094733863863e-06 loss: 0.0298 (0.0344) loss_seg: 0.0309 (0.0368) loss_lansim: 0.0727 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4450 data: 0.0023 max mem: 31671 Epoch: [34] [2120/5278] eta: 2:08:49 lr: 8.518352696979882e-06 loss: 0.0304 (0.0344) loss_seg: 0.0321 (0.0368) loss_lansim: 0.0713 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4499 data: 0.0024 max mem: 31671 Epoch: [34] [2130/5278] eta: 2:08:25 lr: 8.515757967505605e-06 loss: 0.0303 (0.0344) loss_seg: 0.0313 (0.0368) loss_lansim: 0.0718 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4506 data: 0.0024 max mem: 31671 Epoch: [34] [2140/5278] eta: 2:08:00 lr: 8.51316315018308e-06 loss: 0.0303 (0.0344) loss_seg: 0.0321 (0.0368) loss_lansim: 0.0713 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4572 data: 0.0024 max mem: 31671 Epoch: [34] [2150/5278] eta: 2:07:35 lr: 8.51056824497959e-06 loss: 0.0304 (0.0344) loss_seg: 0.0332 (0.0368) loss_lansim: 0.0716 (0.0734) loss_contra: 0.0000 (0.0016) time: 2.4553 data: 0.0024 max mem: 31671 Epoch: [34] [2160/5278] eta: 2:07:10 lr: 8.50797325186238e-06 loss: 0.0303 (0.0344) loss_seg: 0.0329 (0.0368) loss_lansim: 0.0718 (0.0735) loss_contra: 0.0000 (0.0016) time: 2.4494 data: 0.0025 max mem: 31671 Epoch: [34] [2170/5278] eta: 2:06:44 lr: 8.505378170798686e-06 loss: 0.0312 (0.0344) loss_seg: 0.0335 (0.0368) loss_lansim: 0.0726 (0.0735) loss_contra: 0.0000 (0.0016) time: 2.4368 data: 0.0025 max mem: 31671 Epoch: [34] [2180/5278] eta: 2:06:19 lr: 8.502783001755695e-06 loss: 0.0320 (0.0344) loss_seg: 0.0343 (0.0368) loss_lansim: 0.0716 (0.0735) loss_contra: 0.0000 (0.0016) time: 2.4304 data: 0.0025 max mem: 31671 Epoch: [34] [2190/5278] eta: 2:05:55 lr: 8.500187744700596e-06 loss: 0.0304 (0.0344) loss_seg: 0.0332 (0.0367) loss_lansim: 0.0718 (0.0735) loss_contra: 0.0000 (0.0015) time: 2.4298 data: 0.0025 max mem: 31671 Epoch: [34] [2200/5278] eta: 2:05:30 lr: 8.49759239960054e-06 loss: 0.0320 (0.0344) loss_seg: 0.0342 (0.0367) loss_lansim: 0.0718 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4283 data: 0.0025 max mem: 31671 Epoch: [34] [2210/5278] eta: 2:05:05 lr: 8.49499696642267e-06 loss: 0.0311 (0.0344) loss_seg: 0.0335 (0.0367) loss_lansim: 0.0726 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4250 data: 0.0025 max mem: 31671 Epoch: [34] [2220/5278] eta: 2:04:40 lr: 8.492401445134079e-06 loss: 0.0311 (0.0344) loss_seg: 0.0337 (0.0367) loss_lansim: 0.0738 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4151 data: 0.0024 max mem: 31671 Epoch: [34] [2230/5278] eta: 2:04:16 lr: 8.48980583570186e-06 loss: 0.0309 (0.0344) loss_seg: 0.0322 (0.0367) loss_lansim: 0.0738 (0.0735) loss_contra: 0.0000 (0.0015) time: 2.4181 data: 0.0024 max mem: 31671 Epoch: [34] [2240/5278] eta: 2:03:51 lr: 8.487210138093074e-06 loss: 0.0310 (0.0344) loss_seg: 0.0325 (0.0367) loss_lansim: 0.0729 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4098 data: 0.0024 max mem: 31671 Epoch: [34] [2250/5278] eta: 2:03:27 lr: 8.484614352274762e-06 loss: 0.0314 (0.0344) loss_seg: 0.0337 (0.0368) loss_lansim: 0.0731 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4170 data: 0.0023 max mem: 31671 Epoch: [34] [2260/5278] eta: 2:03:02 lr: 8.482018478213943e-06 loss: 0.0311 (0.0344) loss_seg: 0.0336 (0.0367) loss_lansim: 0.0716 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4206 data: 0.0023 max mem: 31671 Epoch: [34] [2270/5278] eta: 2:02:37 lr: 8.479422515877597e-06 loss: 0.0311 (0.0344) loss_seg: 0.0336 (0.0367) loss_lansim: 0.0704 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4302 data: 0.0023 max mem: 31671 Epoch: [34] [2280/5278] eta: 2:02:13 lr: 8.476826465232697e-06 loss: 0.0310 (0.0343) loss_seg: 0.0321 (0.0367) loss_lansim: 0.0709 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4364 data: 0.0023 max mem: 31671 Epoch: [34] [2290/5278] eta: 2:01:48 lr: 8.474230326246188e-06 loss: 0.0314 (0.0343) loss_seg: 0.0338 (0.0367) loss_lansim: 0.0704 (0.0734) loss_contra: 0.0000 (0.0015) time: 2.4325 data: 0.0023 max mem: 31671 Epoch: [34] [2300/5278] eta: 2:01:24 lr: 8.471634098884996e-06 loss: 0.0320 (0.0344) loss_seg: 0.0338 (0.0367) loss_lansim: 0.0694 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4346 data: 0.0024 max mem: 31671 Epoch: [34] [2310/5278] eta: 2:00:59 lr: 8.469037783116008e-06 loss: 0.0335 (0.0344) loss_seg: 0.0346 (0.0367) loss_lansim: 0.0695 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4370 data: 0.0024 max mem: 31671 Epoch: [34] [2320/5278] eta: 2:00:35 lr: 8.4664413789061e-06 loss: 0.0324 (0.0343) loss_seg: 0.0355 (0.0367) loss_lansim: 0.0695 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4407 data: 0.0024 max mem: 31671 Epoch: [34] [2330/5278] eta: 2:00:10 lr: 8.463844886222125e-06 loss: 0.0336 (0.0343) loss_seg: 0.0367 (0.0367) loss_lansim: 0.0701 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4341 data: 0.0024 max mem: 31671 Epoch: [34] [2340/5278] eta: 1:59:45 lr: 8.46124830503091e-06 loss: 0.0336 (0.0343) loss_seg: 0.0367 (0.0367) loss_lansim: 0.0703 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4361 data: 0.0024 max mem: 31671 Epoch: [34] [2350/5278] eta: 1:59:20 lr: 8.45865163529925e-06 loss: 0.0317 (0.0343) loss_seg: 0.0336 (0.0367) loss_lansim: 0.0702 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4287 data: 0.0024 max mem: 31671 Epoch: [34] [2360/5278] eta: 1:58:55 lr: 8.456054876993928e-06 loss: 0.0314 (0.0343) loss_seg: 0.0326 (0.0367) loss_lansim: 0.0703 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4338 data: 0.0024 max mem: 31671 Epoch: [34] [2370/5278] eta: 1:58:32 lr: 8.453458030081697e-06 loss: 0.0290 (0.0343) loss_seg: 0.0310 (0.0367) loss_lansim: 0.0706 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4370 data: 0.0024 max mem: 31671 Epoch: [34] [2380/5278] eta: 1:58:07 lr: 8.450861094529294e-06 loss: 0.0290 (0.0343) loss_seg: 0.0310 (0.0366) loss_lansim: 0.0706 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4321 data: 0.0024 max mem: 31671 Epoch: [34] [2390/5278] eta: 1:57:42 lr: 8.448264070303413e-06 loss: 0.0304 (0.0343) loss_seg: 0.0326 (0.0367) loss_lansim: 0.0711 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4332 data: 0.0024 max mem: 31671 Epoch: [34] [2400/5278] eta: 1:57:17 lr: 8.445666957370745e-06 loss: 0.0290 (0.0343) loss_seg: 0.0310 (0.0366) loss_lansim: 0.0711 (0.0733) loss_contra: 0.0000 (0.0015) time: 2.4245 data: 0.0024 max mem: 31671 Epoch: [34] [2410/5278] eta: 1:56:53 lr: 8.44306975569795e-06 loss: 0.0290 (0.0343) loss_seg: 0.0310 (0.0366) loss_lansim: 0.0711 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4302 data: 0.0024 max mem: 31671 Epoch: [34] [2420/5278] eta: 1:56:28 lr: 8.440472465251664e-06 loss: 0.0290 (0.0342) loss_seg: 0.0316 (0.0366) loss_lansim: 0.0729 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4305 data: 0.0024 max mem: 31671 Epoch: [34] [2430/5278] eta: 1:56:04 lr: 8.43787508599849e-06 loss: 0.0290 (0.0342) loss_seg: 0.0316 (0.0366) loss_lansim: 0.0729 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4357 data: 0.0024 max mem: 31671 Epoch: [34] [2440/5278] eta: 1:55:40 lr: 8.435277617905022e-06 loss: 0.0290 (0.0342) loss_seg: 0.0316 (0.0366) loss_lansim: 0.0723 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4402 data: 0.0024 max mem: 31671 Epoch: [34] [2450/5278] eta: 1:55:15 lr: 8.432680060937819e-06 loss: 0.0296 (0.0342) loss_seg: 0.0318 (0.0366) loss_lansim: 0.0721 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4433 data: 0.0024 max mem: 31671 Epoch: [34] [2460/5278] eta: 1:54:51 lr: 8.43008241506343e-06 loss: 0.0302 (0.0342) loss_seg: 0.0322 (0.0366) loss_lansim: 0.0731 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4423 data: 0.0024 max mem: 31671 Epoch: [34] [2470/5278] eta: 1:54:26 lr: 8.427484680248355e-06 loss: 0.0304 (0.0342) loss_seg: 0.0318 (0.0365) loss_lansim: 0.0721 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4364 data: 0.0024 max mem: 31671 Epoch: [34] [2480/5278] eta: 1:54:02 lr: 8.424886856459094e-06 loss: 0.0310 (0.0342) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0732 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4391 data: 0.0025 max mem: 31671 Epoch: [34] [2490/5278] eta: 1:53:37 lr: 8.422288943662111e-06 loss: 0.0304 (0.0342) loss_seg: 0.0318 (0.0365) loss_lansim: 0.0725 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4451 data: 0.0025 max mem: 31671 Epoch: [34] [2500/5278] eta: 1:53:12 lr: 8.41969094182385e-06 loss: 0.0309 (0.0342) loss_seg: 0.0324 (0.0365) loss_lansim: 0.0734 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4458 data: 0.0025 max mem: 31671 Epoch: [34] [2510/5278] eta: 1:52:48 lr: 8.417092850910736e-06 loss: 0.0304 (0.0342) loss_seg: 0.0318 (0.0365) loss_lansim: 0.0731 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4465 data: 0.0024 max mem: 31671 Epoch: [34] [2520/5278] eta: 1:52:25 lr: 8.414494670889152e-06 loss: 0.0311 (0.0342) loss_seg: 0.0324 (0.0365) loss_lansim: 0.0723 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4533 data: 0.0024 max mem: 31671 Epoch: [34] [2530/5278] eta: 1:51:59 lr: 8.411896401725471e-06 loss: 0.0309 (0.0341) loss_seg: 0.0318 (0.0365) loss_lansim: 0.0723 (0.0734) loss_contra: 0.0000 (0.0017) time: 2.4433 data: 0.0025 max mem: 31671 Epoch: [34] [2540/5278] eta: 1:51:36 lr: 8.409298043386041e-06 loss: 0.0302 (0.0342) loss_seg: 0.0317 (0.0365) loss_lansim: 0.0723 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4513 data: 0.0025 max mem: 31671 Epoch: [34] [2550/5278] eta: 1:51:11 lr: 8.40669959583719e-06 loss: 0.0309 (0.0342) loss_seg: 0.0318 (0.0365) loss_lansim: 0.0715 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4546 data: 0.0025 max mem: 31671 Epoch: [34] [2560/5278] eta: 1:50:47 lr: 8.404101059045202e-06 loss: 0.0313 (0.0342) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0710 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4517 data: 0.0026 max mem: 31671 Epoch: [34] [2570/5278] eta: 1:50:22 lr: 8.401502432976357e-06 loss: 0.0314 (0.0342) loss_seg: 0.0340 (0.0365) loss_lansim: 0.0721 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4514 data: 0.0026 max mem: 31671 Epoch: [34] [2580/5278] eta: 1:49:58 lr: 8.398903717596904e-06 loss: 0.0309 (0.0342) loss_seg: 0.0337 (0.0365) loss_lansim: 0.0708 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4544 data: 0.0025 max mem: 31671 Epoch: [34] [2590/5278] eta: 1:49:34 lr: 8.396304912873073e-06 loss: 0.0311 (0.0342) loss_seg: 0.0340 (0.0365) loss_lansim: 0.0710 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4562 data: 0.0025 max mem: 31671 Epoch: [34] [2600/5278] eta: 1:49:09 lr: 8.39370601877105e-06 loss: 0.0311 (0.0342) loss_seg: 0.0340 (0.0366) loss_lansim: 0.0704 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4535 data: 0.0024 max mem: 31671 Epoch: [34] [2610/5278] eta: 1:48:44 lr: 8.391107035257019e-06 loss: 0.0310 (0.0342) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0692 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4465 data: 0.0024 max mem: 31671 Epoch: [34] [2620/5278] eta: 1:48:19 lr: 8.38850796229713e-06 loss: 0.0295 (0.0342) loss_seg: 0.0317 (0.0365) loss_lansim: 0.0701 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4375 data: 0.0024 max mem: 31671 Epoch: [34] [2630/5278] eta: 1:47:55 lr: 8.385908799857517e-06 loss: 0.0304 (0.0342) loss_seg: 0.0323 (0.0365) loss_lansim: 0.0703 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4471 data: 0.0023 max mem: 31671 Epoch: [34] [2640/5278] eta: 1:47:31 lr: 8.383309547904268e-06 loss: 0.0303 (0.0342) loss_seg: 0.0325 (0.0365) loss_lansim: 0.0703 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4458 data: 0.0023 max mem: 31671 Epoch: [34] [2650/5278] eta: 1:47:06 lr: 8.380710206403467e-06 loss: 0.0286 (0.0342) loss_seg: 0.0312 (0.0365) loss_lansim: 0.0720 (0.0733) loss_contra: 0.0001 (0.0017) time: 2.4398 data: 0.0023 max mem: 31671 Epoch: [34] [2660/5278] eta: 1:46:41 lr: 8.378110775321169e-06 loss: 0.0295 (0.0342) loss_seg: 0.0322 (0.0365) loss_lansim: 0.0721 (0.0733) loss_contra: 0.0001 (0.0017) time: 2.4381 data: 0.0023 max mem: 31671 Epoch: [34] [2670/5278] eta: 1:46:17 lr: 8.375511254623404e-06 loss: 0.0295 (0.0342) loss_seg: 0.0323 (0.0365) loss_lansim: 0.0726 (0.0733) loss_contra: 0.0001 (0.0017) time: 2.4438 data: 0.0022 max mem: 31671 Epoch: [34] [2680/5278] eta: 1:45:53 lr: 8.372911644276168e-06 loss: 0.0295 (0.0342) loss_seg: 0.0313 (0.0365) loss_lansim: 0.0726 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4415 data: 0.0023 max mem: 31671 Epoch: [34] [2690/5278] eta: 1:45:28 lr: 8.370311944245445e-06 loss: 0.0286 (0.0341) loss_seg: 0.0312 (0.0365) loss_lansim: 0.0721 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4322 data: 0.0023 max mem: 31671 Epoch: [34] [2700/5278] eta: 1:45:04 lr: 8.367712154497189e-06 loss: 0.0285 (0.0341) loss_seg: 0.0306 (0.0365) loss_lansim: 0.0724 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4395 data: 0.0023 max mem: 31671 Epoch: [34] [2710/5278] eta: 1:44:39 lr: 8.365112274997337e-06 loss: 0.0286 (0.0341) loss_seg: 0.0312 (0.0364) loss_lansim: 0.0733 (0.0733) loss_contra: 0.0001 (0.0017) time: 2.4471 data: 0.0023 max mem: 31671 Epoch: [34] [2720/5278] eta: 1:44:15 lr: 8.362512305711781e-06 loss: 0.0294 (0.0341) loss_seg: 0.0320 (0.0365) loss_lansim: 0.0718 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4487 data: 0.0023 max mem: 31671 Epoch: [34] [2730/5278] eta: 1:43:49 lr: 8.359912246606408e-06 loss: 0.0292 (0.0341) loss_seg: 0.0313 (0.0365) loss_lansim: 0.0712 (0.0733) loss_contra: 0.0001 (0.0017) time: 2.4328 data: 0.0023 max mem: 31671 Epoch: [34] [2740/5278] eta: 1:43:25 lr: 8.357312097647073e-06 loss: 0.0286 (0.0341) loss_seg: 0.0312 (0.0365) loss_lansim: 0.0712 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4238 data: 0.0024 max mem: 31671 Epoch: [34] [2750/5278] eta: 1:43:00 lr: 8.354711858799607e-06 loss: 0.0289 (0.0341) loss_seg: 0.0312 (0.0364) loss_lansim: 0.0707 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4266 data: 0.0024 max mem: 31671 Epoch: [34] [2760/5278] eta: 1:42:36 lr: 8.352111530029822e-06 loss: 0.0282 (0.0341) loss_seg: 0.0303 (0.0364) loss_lansim: 0.0700 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4404 data: 0.0024 max mem: 31671 Epoch: [34] [2770/5278] eta: 1:42:12 lr: 8.349511111303489e-06 loss: 0.0282 (0.0341) loss_seg: 0.0303 (0.0364) loss_lansim: 0.0698 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4352 data: 0.0024 max mem: 31671 Epoch: [34] [2780/5278] eta: 1:41:47 lr: 8.34691060258637e-06 loss: 0.0284 (0.0341) loss_seg: 0.0312 (0.0364) loss_lansim: 0.0700 (0.0733) loss_contra: 0.0000 (0.0017) time: 2.4336 data: 0.0024 max mem: 31671 Epoch: [34] [2790/5278] eta: 1:41:23 lr: 8.344310003844191e-06 loss: 0.0284 (0.0341) loss_seg: 0.0309 (0.0364) loss_lansim: 0.0700 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4394 data: 0.0024 max mem: 31671 Epoch: [34] [2800/5278] eta: 1:40:59 lr: 8.341709315042671e-06 loss: 0.0284 (0.0341) loss_seg: 0.0309 (0.0364) loss_lansim: 0.0694 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4415 data: 0.0024 max mem: 31671 Epoch: [34] [2810/5278] eta: 1:40:34 lr: 8.33910853614748e-06 loss: 0.0295 (0.0341) loss_seg: 0.0313 (0.0364) loss_lansim: 0.0691 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4327 data: 0.0024 max mem: 31671 Epoch: [34] [2820/5278] eta: 1:40:10 lr: 8.336507667124274e-06 loss: 0.0295 (0.0341) loss_seg: 0.0313 (0.0364) loss_lansim: 0.0698 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4377 data: 0.0025 max mem: 31671 Epoch: [34] [2830/5278] eta: 1:39:46 lr: 8.33390670793869e-06 loss: 0.0298 (0.0341) loss_seg: 0.0321 (0.0364) loss_lansim: 0.0701 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4563 data: 0.0025 max mem: 31671 Epoch: [34] [2840/5278] eta: 1:39:21 lr: 8.331305658556339e-06 loss: 0.0308 (0.0341) loss_seg: 0.0325 (0.0365) loss_lansim: 0.0707 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4596 data: 0.0025 max mem: 31671 Epoch: [34] [2850/5278] eta: 1:38:57 lr: 8.328704518942792e-06 loss: 0.0308 (0.0341) loss_seg: 0.0329 (0.0365) loss_lansim: 0.0703 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4600 data: 0.0025 max mem: 31671 Epoch: [34] [2860/5278] eta: 1:38:33 lr: 8.326103289063608e-06 loss: 0.0312 (0.0341) loss_seg: 0.0330 (0.0365) loss_lansim: 0.0709 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4537 data: 0.0025 max mem: 31671 Epoch: [34] [2870/5278] eta: 1:38:08 lr: 8.323501968884322e-06 loss: 0.0312 (0.0341) loss_seg: 0.0330 (0.0365) loss_lansim: 0.0712 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4516 data: 0.0026 max mem: 31671 Epoch: [34] [2880/5278] eta: 1:37:44 lr: 8.320900558370443e-06 loss: 0.0316 (0.0341) loss_seg: 0.0335 (0.0365) loss_lansim: 0.0707 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4603 data: 0.0026 max mem: 31671 Epoch: [34] [2890/5278] eta: 1:37:19 lr: 8.318299057487444e-06 loss: 0.0319 (0.0341) loss_seg: 0.0345 (0.0365) loss_lansim: 0.0703 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4564 data: 0.0026 max mem: 31671 Epoch: [34] [2900/5278] eta: 1:36:55 lr: 8.315697466200784e-06 loss: 0.0319 (0.0341) loss_seg: 0.0348 (0.0364) loss_lansim: 0.0703 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4563 data: 0.0025 max mem: 31671 Epoch: [34] [2910/5278] eta: 1:36:31 lr: 8.313095784475893e-06 loss: 0.0311 (0.0341) loss_seg: 0.0342 (0.0364) loss_lansim: 0.0711 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4680 data: 0.0025 max mem: 31671 Epoch: [34] [2920/5278] eta: 1:36:07 lr: 8.310494012278183e-06 loss: 0.0311 (0.0341) loss_seg: 0.0342 (0.0364) loss_lansim: 0.0711 (0.0732) loss_contra: 0.0000 (0.0018) time: 2.4661 data: 0.0025 max mem: 31671 Epoch: [34] [2930/5278] eta: 1:35:43 lr: 8.307892149573024e-06 loss: 0.0303 (0.0341) loss_seg: 0.0332 (0.0364) loss_lansim: 0.0708 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4713 data: 0.0025 max mem: 31671 Epoch: [34] [2940/5278] eta: 1:35:19 lr: 8.305290196325773e-06 loss: 0.0301 (0.0340) loss_seg: 0.0328 (0.0364) loss_lansim: 0.0708 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4746 data: 0.0025 max mem: 31671 Epoch: [34] [2950/5278] eta: 1:34:55 lr: 8.302688152501765e-06 loss: 0.0296 (0.0340) loss_seg: 0.0318 (0.0363) loss_lansim: 0.0710 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4764 data: 0.0025 max mem: 31671 Epoch: [34] [2960/5278] eta: 1:34:30 lr: 8.300086018066303e-06 loss: 0.0291 (0.0340) loss_seg: 0.0313 (0.0363) loss_lansim: 0.0708 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4700 data: 0.0024 max mem: 31671 Epoch: [34] [2970/5278] eta: 1:34:06 lr: 8.29748379298466e-06 loss: 0.0287 (0.0340) loss_seg: 0.0313 (0.0363) loss_lansim: 0.0706 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4743 data: 0.0025 max mem: 31671 Epoch: [34] [2980/5278] eta: 1:33:41 lr: 8.294881477222093e-06 loss: 0.0282 (0.0340) loss_seg: 0.0304 (0.0363) loss_lansim: 0.0712 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4652 data: 0.0024 max mem: 31671 Epoch: [34] [2990/5278] eta: 1:33:16 lr: 8.29227907074383e-06 loss: 0.0282 (0.0340) loss_seg: 0.0307 (0.0363) loss_lansim: 0.0712 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4664 data: 0.0025 max mem: 31671 Epoch: [34] [3000/5278] eta: 1:32:51 lr: 8.289676573515074e-06 loss: 0.0289 (0.0340) loss_seg: 0.0310 (0.0363) loss_lansim: 0.0724 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4568 data: 0.0025 max mem: 31671 Epoch: [34] [3010/5278] eta: 1:32:26 lr: 8.287073985501006e-06 loss: 0.0289 (0.0340) loss_seg: 0.0307 (0.0363) loss_lansim: 0.0718 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4414 data: 0.0025 max mem: 31671 Epoch: [34] [3020/5278] eta: 1:32:01 lr: 8.284471306666766e-06 loss: 0.0282 (0.0339) loss_seg: 0.0295 (0.0363) loss_lansim: 0.0718 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4290 data: 0.0025 max mem: 31671 Epoch: [34] [3030/5278] eta: 1:31:37 lr: 8.28186853697749e-06 loss: 0.0290 (0.0339) loss_seg: 0.0307 (0.0363) loss_lansim: 0.0724 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4270 data: 0.0024 max mem: 31671 Epoch: [34] [3040/5278] eta: 1:31:13 lr: 8.27926567639827e-06 loss: 0.0290 (0.0339) loss_seg: 0.0308 (0.0363) loss_lansim: 0.0725 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4268 data: 0.0024 max mem: 31671 Epoch: [34] [3050/5278] eta: 1:30:48 lr: 8.276662724894194e-06 loss: 0.0286 (0.0339) loss_seg: 0.0304 (0.0362) loss_lansim: 0.0725 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4221 data: 0.0024 max mem: 31671 Epoch: [34] [3060/5278] eta: 1:30:25 lr: 8.274059682430295e-06 loss: 0.0290 (0.0339) loss_seg: 0.0308 (0.0363) loss_lansim: 0.0725 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4351 data: 0.0024 max mem: 31671 Epoch: [34] [3070/5278] eta: 1:30:00 lr: 8.271456548971606e-06 loss: 0.0302 (0.0340) loss_seg: 0.0310 (0.0363) loss_lansim: 0.0725 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4354 data: 0.0024 max mem: 31671 Epoch: [34] [3080/5278] eta: 1:29:36 lr: 8.26885332448312e-06 loss: 0.0289 (0.0340) loss_seg: 0.0304 (0.0363) loss_lansim: 0.0721 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4354 data: 0.0024 max mem: 31671 Epoch: [34] [3090/5278] eta: 1:29:11 lr: 8.26625000892982e-06 loss: 0.0289 (0.0340) loss_seg: 0.0304 (0.0363) loss_lansim: 0.0721 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4352 data: 0.0024 max mem: 31671 Epoch: [34] [3100/5278] eta: 1:28:47 lr: 8.263646602276639e-06 loss: 0.0282 (0.0340) loss_seg: 0.0300 (0.0363) loss_lansim: 0.0710 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4431 data: 0.0024 max mem: 31671 Epoch: [34] [3110/5278] eta: 1:28:22 lr: 8.261043104488499e-06 loss: 0.0279 (0.0339) loss_seg: 0.0293 (0.0362) loss_lansim: 0.0703 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4542 data: 0.0024 max mem: 31671 Epoch: [34] [3120/5278] eta: 1:27:58 lr: 8.2584395155303e-06 loss: 0.0284 (0.0339) loss_seg: 0.0300 (0.0362) loss_lansim: 0.0703 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4616 data: 0.0024 max mem: 31671 Epoch: [34] [3130/5278] eta: 1:27:33 lr: 8.255835835366915e-06 loss: 0.0282 (0.0339) loss_seg: 0.0300 (0.0363) loss_lansim: 0.0702 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4543 data: 0.0024 max mem: 31671 Epoch: [34] [3140/5278] eta: 1:27:09 lr: 8.253232063963175e-06 loss: 0.0281 (0.0339) loss_seg: 0.0298 (0.0362) loss_lansim: 0.0702 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4517 data: 0.0024 max mem: 31671 Epoch: [34] [3150/5278] eta: 1:26:45 lr: 8.250628201283902e-06 loss: 0.0284 (0.0339) loss_seg: 0.0308 (0.0362) loss_lansim: 0.0699 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4596 data: 0.0023 max mem: 31671 Epoch: [34] [3160/5278] eta: 1:26:20 lr: 8.24802424729389e-06 loss: 0.0284 (0.0339) loss_seg: 0.0309 (0.0362) loss_lansim: 0.0699 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4539 data: 0.0024 max mem: 31671 Epoch: [34] [3170/5278] eta: 1:25:57 lr: 8.245420201957907e-06 loss: 0.0288 (0.0339) loss_seg: 0.0310 (0.0362) loss_lansim: 0.0702 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4604 data: 0.0023 max mem: 31671 Epoch: [34] [3180/5278] eta: 1:25:32 lr: 8.242816065240682e-06 loss: 0.0289 (0.0339) loss_seg: 0.0311 (0.0362) loss_lansim: 0.0713 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4595 data: 0.0023 max mem: 31671 Epoch: [34] [3190/5278] eta: 1:25:08 lr: 8.240211837106935e-06 loss: 0.0284 (0.0339) loss_seg: 0.0309 (0.0362) loss_lansim: 0.0713 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4630 data: 0.0023 max mem: 31671 Epoch: [34] [3200/5278] eta: 1:24:43 lr: 8.237607517521354e-06 loss: 0.0288 (0.0339) loss_seg: 0.0310 (0.0362) loss_lansim: 0.0708 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4593 data: 0.0023 max mem: 31671 Epoch: [34] [3210/5278] eta: 1:24:19 lr: 8.235003106448604e-06 loss: 0.0289 (0.0339) loss_seg: 0.0311 (0.0362) loss_lansim: 0.0713 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4605 data: 0.0023 max mem: 31671 Epoch: [34] [3220/5278] eta: 1:23:54 lr: 8.232398603853309e-06 loss: 0.0289 (0.0339) loss_seg: 0.0316 (0.0362) loss_lansim: 0.0722 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4596 data: 0.0023 max mem: 31671 Epoch: [34] [3230/5278] eta: 1:23:29 lr: 8.229794009700085e-06 loss: 0.0289 (0.0338) loss_seg: 0.0314 (0.0362) loss_lansim: 0.0724 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4538 data: 0.0023 max mem: 31671 Epoch: [34] [3240/5278] eta: 1:23:05 lr: 8.227189323953512e-06 loss: 0.0296 (0.0339) loss_seg: 0.0321 (0.0362) loss_lansim: 0.0720 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4525 data: 0.0023 max mem: 31671 Epoch: [34] [3250/5278] eta: 1:22:40 lr: 8.22458454657815e-06 loss: 0.0297 (0.0339) loss_seg: 0.0324 (0.0362) loss_lansim: 0.0726 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4414 data: 0.0023 max mem: 31671 Epoch: [34] [3260/5278] eta: 1:22:15 lr: 8.221979677538533e-06 loss: 0.0297 (0.0339) loss_seg: 0.0324 (0.0362) loss_lansim: 0.0733 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4390 data: 0.0023 max mem: 31671 Epoch: [34] [3270/5278] eta: 1:21:51 lr: 8.219374716799157e-06 loss: 0.0299 (0.0339) loss_seg: 0.0324 (0.0362) loss_lansim: 0.0736 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4337 data: 0.0023 max mem: 31671 Epoch: [34] [3280/5278] eta: 1:21:27 lr: 8.216769664324502e-06 loss: 0.0309 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0736 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4391 data: 0.0023 max mem: 31671 Epoch: [34] [3290/5278] eta: 1:21:02 lr: 8.214164520079024e-06 loss: 0.0309 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0736 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4379 data: 0.0023 max mem: 31671 Epoch: [34] [3300/5278] eta: 1:20:38 lr: 8.211559284027151e-06 loss: 0.0309 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0744 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4431 data: 0.0022 max mem: 31671 Epoch: [34] [3310/5278] eta: 1:20:13 lr: 8.208953956133273e-06 loss: 0.0316 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0736 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4367 data: 0.0022 max mem: 31671 Epoch: [34] [3320/5278] eta: 1:19:49 lr: 8.206348536361765e-06 loss: 0.0315 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0731 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4399 data: 0.0023 max mem: 31671 Epoch: [34] [3330/5278] eta: 1:19:24 lr: 8.203743024676977e-06 loss: 0.0319 (0.0339) loss_seg: 0.0346 (0.0362) loss_lansim: 0.0730 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4387 data: 0.0023 max mem: 31671 Epoch: [34] [3340/5278] eta: 1:19:00 lr: 8.201137421043232e-06 loss: 0.0335 (0.0339) loss_seg: 0.0348 (0.0362) loss_lansim: 0.0728 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4433 data: 0.0023 max mem: 31671 Epoch: [34] [3350/5278] eta: 1:18:35 lr: 8.198531725424816e-06 loss: 0.0317 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0710 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4474 data: 0.0023 max mem: 31671 Epoch: [34] [3360/5278] eta: 1:18:11 lr: 8.195925937785998e-06 loss: 0.0309 (0.0339) loss_seg: 0.0334 (0.0362) loss_lansim: 0.0710 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4495 data: 0.0023 max mem: 31671 Epoch: [34] [3370/5278] eta: 1:17:47 lr: 8.19332005809102e-06 loss: 0.0316 (0.0339) loss_seg: 0.0335 (0.0362) loss_lansim: 0.0704 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4594 data: 0.0023 max mem: 31671 Epoch: [34] [3380/5278] eta: 1:17:23 lr: 8.1907140863041e-06 loss: 0.0304 (0.0339) loss_seg: 0.0326 (0.0362) loss_lansim: 0.0702 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4572 data: 0.0024 max mem: 31671 Epoch: [34] [3390/5278] eta: 1:16:58 lr: 8.188108022389418e-06 loss: 0.0304 (0.0338) loss_seg: 0.0323 (0.0362) loss_lansim: 0.0699 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4579 data: 0.0024 max mem: 31671 Epoch: [34] [3400/5278] eta: 1:16:34 lr: 8.185501866311139e-06 loss: 0.0301 (0.0339) loss_seg: 0.0324 (0.0363) loss_lansim: 0.0697 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4583 data: 0.0024 max mem: 31671 Epoch: [34] [3410/5278] eta: 1:16:10 lr: 8.182895618033394e-06 loss: 0.0295 (0.0339) loss_seg: 0.0323 (0.0362) loss_lansim: 0.0693 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4632 data: 0.0024 max mem: 31671 Epoch: [34] [3420/5278] eta: 1:15:45 lr: 8.1802892775203e-06 loss: 0.0301 (0.0339) loss_seg: 0.0328 (0.0363) loss_lansim: 0.0697 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4532 data: 0.0024 max mem: 31671 Epoch: [34] [3430/5278] eta: 1:15:20 lr: 8.177682844735925e-06 loss: 0.0294 (0.0339) loss_seg: 0.0323 (0.0363) loss_lansim: 0.0699 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4540 data: 0.0024 max mem: 31671 Epoch: [34] [3440/5278] eta: 1:14:55 lr: 8.175076319644329e-06 loss: 0.0293 (0.0339) loss_seg: 0.0322 (0.0362) loss_lansim: 0.0697 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4420 data: 0.0024 max mem: 31671 Epoch: [34] [3450/5278] eta: 1:14:31 lr: 8.17246970220954e-06 loss: 0.0294 (0.0339) loss_seg: 0.0322 (0.0363) loss_lansim: 0.0693 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4460 data: 0.0024 max mem: 31671 Epoch: [34] [3460/5278] eta: 1:14:06 lr: 8.169862992395563e-06 loss: 0.0289 (0.0339) loss_seg: 0.0317 (0.0363) loss_lansim: 0.0693 (0.0730) loss_contra: 0.0000 (0.0016) time: 2.4442 data: 0.0024 max mem: 31671 Epoch: [34] [3470/5278] eta: 1:13:42 lr: 8.167256190166363e-06 loss: 0.0293 (0.0340) loss_seg: 0.0322 (0.0363) loss_lansim: 0.0699 (0.0730) loss_contra: 0.0000 (0.0016) time: 2.4270 data: 0.0025 max mem: 31671 Epoch: [34] [3480/5278] eta: 1:13:17 lr: 8.16464929548589e-06 loss: 0.0293 (0.0339) loss_seg: 0.0322 (0.0363) loss_lansim: 0.0699 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4285 data: 0.0025 max mem: 31671 Epoch: [34] [3490/5278] eta: 1:12:52 lr: 8.162042308318066e-06 loss: 0.0295 (0.0339) loss_seg: 0.0323 (0.0363) loss_lansim: 0.0711 (0.0731) loss_contra: 0.0000 (0.0017) time: 2.4190 data: 0.0024 max mem: 31671 Epoch: [34] [3500/5278] eta: 1:12:28 lr: 8.159435228626782e-06 loss: 0.0297 (0.0339) loss_seg: 0.0323 (0.0363) loss_lansim: 0.0711 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4219 data: 0.0024 max mem: 31671 Epoch: [34] [3510/5278] eta: 1:12:04 lr: 8.156828056375915e-06 loss: 0.0293 (0.0339) loss_seg: 0.0312 (0.0363) loss_lansim: 0.0704 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4218 data: 0.0024 max mem: 31671 Epoch: [34] [3520/5278] eta: 1:11:39 lr: 8.154220791529286e-06 loss: 0.0284 (0.0339) loss_seg: 0.0301 (0.0363) loss_lansim: 0.0703 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4303 data: 0.0024 max mem: 31671 Epoch: [34] [3530/5278] eta: 1:11:15 lr: 8.15161343405072e-06 loss: 0.0298 (0.0339) loss_seg: 0.0306 (0.0363) loss_lansim: 0.0695 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4385 data: 0.0024 max mem: 31671 Epoch: [34] [3540/5278] eta: 1:10:51 lr: 8.149005983903996e-06 loss: 0.0293 (0.0339) loss_seg: 0.0305 (0.0363) loss_lansim: 0.0688 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4520 data: 0.0024 max mem: 31671 Epoch: [34] [3550/5278] eta: 1:10:27 lr: 8.146398441052885e-06 loss: 0.0303 (0.0339) loss_seg: 0.0306 (0.0363) loss_lansim: 0.0695 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4564 data: 0.0024 max mem: 31671 Epoch: [34] [3560/5278] eta: 1:10:02 lr: 8.143790805461101e-06 loss: 0.0306 (0.0339) loss_seg: 0.0316 (0.0363) loss_lansim: 0.0692 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4603 data: 0.0023 max mem: 31671 Epoch: [34] [3570/5278] eta: 1:09:38 lr: 8.141183077092358e-06 loss: 0.0300 (0.0339) loss_seg: 0.0312 (0.0363) loss_lansim: 0.0692 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4649 data: 0.0023 max mem: 31671 Epoch: [34] [3580/5278] eta: 1:09:14 lr: 8.13857525591033e-06 loss: 0.0306 (0.0339) loss_seg: 0.0319 (0.0363) loss_lansim: 0.0685 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4654 data: 0.0023 max mem: 31671 Epoch: [34] [3590/5278] eta: 1:08:49 lr: 8.135967341878672e-06 loss: 0.0300 (0.0339) loss_seg: 0.0309 (0.0363) loss_lansim: 0.0677 (0.0730) loss_contra: 0.0000 (0.0017) time: 2.4702 data: 0.0023 max mem: 31671 Epoch: [34] [3600/5278] eta: 1:08:25 lr: 8.133359334960999e-06 loss: 0.0303 (0.0339) loss_seg: 0.0311 (0.0363) loss_lansim: 0.0678 (0.0729) loss_contra: 0.0000 (0.0017) time: 2.4691 data: 0.0023 max mem: 31671 Epoch: [34] [3610/5278] eta: 1:08:00 lr: 8.130751235120911e-06 loss: 0.0311 (0.0339) loss_seg: 0.0323 (0.0363) loss_lansim: 0.0680 (0.0729) loss_contra: 0.0000 (0.0017) time: 2.4613 data: 0.0023 max mem: 31671 Epoch: [34] [3620/5278] eta: 1:07:36 lr: 8.128143042321976e-06 loss: 0.0314 (0.0339) loss_seg: 0.0328 (0.0363) loss_lansim: 0.0690 (0.0729) loss_contra: 0.0000 (0.0017) time: 2.4674 data: 0.0023 max mem: 31671 Epoch: [34] [3630/5278] eta: 1:07:11 lr: 8.12553475652774e-06 loss: 0.0314 (0.0339) loss_seg: 0.0330 (0.0363) loss_lansim: 0.0692 (0.0729) loss_contra: 0.0000 (0.0017) time: 2.4614 data: 0.0023 max mem: 31671 Epoch: [34] [3640/5278] eta: 1:06:46 lr: 8.122926377701704e-06 loss: 0.0314 (0.0339) loss_seg: 0.0328 (0.0363) loss_lansim: 0.0695 (0.0729) loss_contra: 0.0000 (0.0017) time: 2.4521 data: 0.0023 max mem: 31671 Epoch: [34] [3650/5278] eta: 1:06:22 lr: 8.120317905807363e-06 loss: 0.0314 (0.0339) loss_seg: 0.0328 (0.0363) loss_lansim: 0.0692 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4478 data: 0.0024 max mem: 31671 Epoch: [34] [3660/5278] eta: 1:05:58 lr: 8.117709340808175e-06 loss: 0.0300 (0.0339) loss_seg: 0.0323 (0.0363) loss_lansim: 0.0687 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4431 data: 0.0024 max mem: 31671 Epoch: [34] [3670/5278] eta: 1:05:33 lr: 8.115100682667579e-06 loss: 0.0300 (0.0339) loss_seg: 0.0322 (0.0363) loss_lansim: 0.0683 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4498 data: 0.0024 max mem: 31671 Epoch: [34] [3680/5278] eta: 1:05:09 lr: 8.112491931348963e-06 loss: 0.0298 (0.0339) loss_seg: 0.0322 (0.0362) loss_lansim: 0.0687 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4484 data: 0.0024 max mem: 31671 Epoch: [34] [3690/5278] eta: 1:04:45 lr: 8.109883086815714e-06 loss: 0.0300 (0.0339) loss_seg: 0.0322 (0.0362) loss_lansim: 0.0687 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4543 data: 0.0024 max mem: 31671 Epoch: [34] [3700/5278] eta: 1:04:21 lr: 8.107274149031176e-06 loss: 0.0300 (0.0339) loss_seg: 0.0322 (0.0362) loss_lansim: 0.0683 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4582 data: 0.0024 max mem: 31671 Epoch: [34] [3710/5278] eta: 1:03:56 lr: 8.104665117958684e-06 loss: 0.0296 (0.0339) loss_seg: 0.0315 (0.0362) loss_lansim: 0.0683 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4656 data: 0.0024 max mem: 31671 Epoch: [34] [3720/5278] eta: 1:03:32 lr: 8.102055993561516e-06 loss: 0.0303 (0.0339) loss_seg: 0.0325 (0.0362) loss_lansim: 0.0687 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4593 data: 0.0024 max mem: 31671 Epoch: [34] [3730/5278] eta: 1:03:07 lr: 8.099446775802941e-06 loss: 0.0303 (0.0339) loss_seg: 0.0326 (0.0362) loss_lansim: 0.0696 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4579 data: 0.0024 max mem: 31671 Epoch: [34] [3740/5278] eta: 1:02:43 lr: 8.096837464646204e-06 loss: 0.0304 (0.0339) loss_seg: 0.0328 (0.0362) loss_lansim: 0.0702 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4628 data: 0.0024 max mem: 31671 Epoch: [34] [3750/5278] eta: 1:02:18 lr: 8.094228060054515e-06 loss: 0.0294 (0.0339) loss_seg: 0.0314 (0.0362) loss_lansim: 0.0699 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4612 data: 0.0023 max mem: 31671 Epoch: [34] [3760/5278] eta: 1:01:53 lr: 8.091618561991063e-06 loss: 0.0306 (0.0339) loss_seg: 0.0331 (0.0362) loss_lansim: 0.0707 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4575 data: 0.0023 max mem: 31671 Epoch: [34] [3770/5278] eta: 1:01:29 lr: 8.08900897041899e-06 loss: 0.0306 (0.0339) loss_seg: 0.0331 (0.0362) loss_lansim: 0.0711 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4542 data: 0.0023 max mem: 31671 Epoch: [34] [3780/5278] eta: 1:01:04 lr: 8.086399285301432e-06 loss: 0.0307 (0.0339) loss_seg: 0.0331 (0.0362) loss_lansim: 0.0713 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4478 data: 0.0023 max mem: 31671 Epoch: [34] [3790/5278] eta: 1:00:40 lr: 8.08378950660149e-06 loss: 0.0312 (0.0339) loss_seg: 0.0338 (0.0362) loss_lansim: 0.0715 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4396 data: 0.0023 max mem: 31671 Epoch: [34] [3800/5278] eta: 1:00:15 lr: 8.081179634282241e-06 loss: 0.0312 (0.0339) loss_seg: 0.0335 (0.0362) loss_lansim: 0.0718 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4344 data: 0.0022 max mem: 31671 Epoch: [34] [3810/5278] eta: 0:59:51 lr: 8.078569668306718e-06 loss: 0.0317 (0.0339) loss_seg: 0.0344 (0.0362) loss_lansim: 0.0724 (0.0729) loss_contra: 0.0000 (0.0016) time: 2.4377 data: 0.0023 max mem: 31671 Epoch: [34] [3820/5278] eta: 0:59:27 lr: 8.075959608637945e-06 loss: 0.0313 (0.0339) loss_seg: 0.0343 (0.0362) loss_lansim: 0.0724 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4393 data: 0.0023 max mem: 31671 Epoch: [34] [3830/5278] eta: 0:59:02 lr: 8.07334945523891e-06 loss: 0.0312 (0.0339) loss_seg: 0.0331 (0.0362) loss_lansim: 0.0710 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4454 data: 0.0023 max mem: 31671 Epoch: [34] [3840/5278] eta: 0:58:38 lr: 8.07073920807258e-06 loss: 0.0313 (0.0339) loss_seg: 0.0342 (0.0362) loss_lansim: 0.0698 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4486 data: 0.0024 max mem: 31671 Epoch: [34] [3850/5278] eta: 0:58:13 lr: 8.068128867101878e-06 loss: 0.0328 (0.0339) loss_seg: 0.0346 (0.0362) loss_lansim: 0.0707 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4354 data: 0.0024 max mem: 31671 Epoch: [34] [3860/5278] eta: 0:57:48 lr: 8.065518432289714e-06 loss: 0.0314 (0.0339) loss_seg: 0.0342 (0.0362) loss_lansim: 0.0701 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4355 data: 0.0024 max mem: 31671 Epoch: [34] [3870/5278] eta: 0:57:24 lr: 8.062907903598966e-06 loss: 0.0330 (0.0339) loss_seg: 0.0355 (0.0362) loss_lansim: 0.0701 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4265 data: 0.0024 max mem: 31671 Epoch: [34] [3880/5278] eta: 0:56:59 lr: 8.060297280992485e-06 loss: 0.0325 (0.0339) loss_seg: 0.0344 (0.0362) loss_lansim: 0.0698 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4324 data: 0.0024 max mem: 31671 Epoch: [34] [3890/5278] eta: 0:56:35 lr: 8.057686564433087e-06 loss: 0.0313 (0.0339) loss_seg: 0.0340 (0.0362) loss_lansim: 0.0700 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4390 data: 0.0024 max mem: 31671 Epoch: [34] [3900/5278] eta: 0:56:11 lr: 8.055075753883565e-06 loss: 0.0326 (0.0339) loss_seg: 0.0341 (0.0363) loss_lansim: 0.0701 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4413 data: 0.0025 max mem: 31671 Epoch: [34] [3910/5278] eta: 0:55:46 lr: 8.052464849306686e-06 loss: 0.0308 (0.0339) loss_seg: 0.0337 (0.0363) loss_lansim: 0.0701 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4402 data: 0.0025 max mem: 31671 Epoch: [34] [3920/5278] eta: 0:55:22 lr: 8.049853850665194e-06 loss: 0.0307 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0701 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4384 data: 0.0025 max mem: 31671 Epoch: [34] [3930/5278] eta: 0:54:57 lr: 8.047242757921783e-06 loss: 0.0308 (0.0339) loss_seg: 0.0335 (0.0362) loss_lansim: 0.0712 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4278 data: 0.0024 max mem: 31671 Epoch: [34] [3940/5278] eta: 0:54:32 lr: 8.04463157103914e-06 loss: 0.0310 (0.0339) loss_seg: 0.0335 (0.0362) loss_lansim: 0.0714 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4225 data: 0.0024 max mem: 31671 Epoch: [34] [3950/5278] eta: 0:54:08 lr: 8.042020289979918e-06 loss: 0.0308 (0.0339) loss_seg: 0.0330 (0.0362) loss_lansim: 0.0709 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4369 data: 0.0024 max mem: 31671 Epoch: [34] [3960/5278] eta: 0:53:44 lr: 8.039408914706744e-06 loss: 0.0311 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0705 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4405 data: 0.0024 max mem: 31671 Epoch: [34] [3970/5278] eta: 0:53:19 lr: 8.036797445182205e-06 loss: 0.0310 (0.0339) loss_seg: 0.0337 (0.0363) loss_lansim: 0.0702 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4317 data: 0.0024 max mem: 31671 Epoch: [34] [3980/5278] eta: 0:52:54 lr: 8.03418588136887e-06 loss: 0.0310 (0.0339) loss_seg: 0.0330 (0.0362) loss_lansim: 0.0701 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4285 data: 0.0024 max mem: 31671 Epoch: [34] [3990/5278] eta: 0:52:29 lr: 8.03157422322928e-06 loss: 0.0310 (0.0339) loss_seg: 0.0333 (0.0362) loss_lansim: 0.0702 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4229 data: 0.0024 max mem: 31671 Epoch: [34] [4000/5278] eta: 0:52:05 lr: 8.028962470725946e-06 loss: 0.0311 (0.0339) loss_seg: 0.0335 (0.0363) loss_lansim: 0.0695 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4181 data: 0.0023 max mem: 31671 Epoch: [34] [4010/5278] eta: 0:51:40 lr: 8.026350623821354e-06 loss: 0.0312 (0.0339) loss_seg: 0.0337 (0.0363) loss_lansim: 0.0702 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4032 data: 0.0023 max mem: 31671 Epoch: [34] [4020/5278] eta: 0:51:15 lr: 8.023738682477945e-06 loss: 0.0320 (0.0339) loss_seg: 0.0342 (0.0363) loss_lansim: 0.0703 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.3973 data: 0.0023 max mem: 31671 Epoch: [34] [4030/5278] eta: 0:50:51 lr: 8.02112664665815e-06 loss: 0.0312 (0.0339) loss_seg: 0.0340 (0.0363) loss_lansim: 0.0704 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.3970 data: 0.0023 max mem: 31671 Epoch: [34] [4040/5278] eta: 0:50:26 lr: 8.018514516324365e-06 loss: 0.0307 (0.0339) loss_seg: 0.0330 (0.0362) loss_lansim: 0.0703 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.3997 data: 0.0023 max mem: 31671 Epoch: [34] [4050/5278] eta: 0:50:02 lr: 8.015902291438964e-06 loss: 0.0305 (0.0339) loss_seg: 0.0324 (0.0362) loss_lansim: 0.0703 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4034 data: 0.0023 max mem: 31671 Epoch: [34] [4060/5278] eta: 0:49:38 lr: 8.013289971964274e-06 loss: 0.0296 (0.0339) loss_seg: 0.0304 (0.0362) loss_lansim: 0.0711 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.3997 data: 0.0023 max mem: 31671 Epoch: [34] [4070/5278] eta: 0:49:13 lr: 8.01067755786261e-06 loss: 0.0286 (0.0339) loss_seg: 0.0303 (0.0362) loss_lansim: 0.0703 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4153 data: 0.0023 max mem: 31671 Epoch: [34] [4080/5278] eta: 0:48:49 lr: 8.008065049096255e-06 loss: 0.0296 (0.0339) loss_seg: 0.0303 (0.0362) loss_lansim: 0.0718 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4256 data: 0.0023 max mem: 31671 Epoch: [34] [4090/5278] eta: 0:48:25 lr: 8.005452445627468e-06 loss: 0.0286 (0.0339) loss_seg: 0.0303 (0.0362) loss_lansim: 0.0714 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4320 data: 0.0023 max mem: 31671 Epoch: [34] [4100/5278] eta: 0:48:00 lr: 8.00283974741846e-06 loss: 0.0296 (0.0339) loss_seg: 0.0308 (0.0362) loss_lansim: 0.0720 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4307 data: 0.0023 max mem: 31671 Epoch: [34] [4110/5278] eta: 0:47:35 lr: 8.000226954431432e-06 loss: 0.0289 (0.0339) loss_seg: 0.0303 (0.0362) loss_lansim: 0.0721 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4328 data: 0.0023 max mem: 31671 Epoch: [34] [4120/5278] eta: 0:47:11 lr: 7.997614066628551e-06 loss: 0.0278 (0.0339) loss_seg: 0.0298 (0.0362) loss_lansim: 0.0711 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [34] [4130/5278] eta: 0:46:47 lr: 7.995001083971961e-06 loss: 0.0278 (0.0339) loss_seg: 0.0299 (0.0362) loss_lansim: 0.0711 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4533 data: 0.0023 max mem: 31671 Epoch: [34] [4140/5278] eta: 0:46:22 lr: 7.99238800642376e-06 loss: 0.0280 (0.0339) loss_seg: 0.0301 (0.0362) loss_lansim: 0.0721 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4559 data: 0.0023 max mem: 31671 Epoch: [34] [4150/5278] eta: 0:45:58 lr: 7.989774833946032e-06 loss: 0.0280 (0.0339) loss_seg: 0.0298 (0.0362) loss_lansim: 0.0721 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4445 data: 0.0023 max mem: 31671 Epoch: [34] [4160/5278] eta: 0:45:33 lr: 7.987161566500828e-06 loss: 0.0283 (0.0339) loss_seg: 0.0302 (0.0362) loss_lansim: 0.0714 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4426 data: 0.0023 max mem: 31671 Epoch: [34] [4170/5278] eta: 0:45:08 lr: 7.984548204050177e-06 loss: 0.0287 (0.0339) loss_seg: 0.0303 (0.0362) loss_lansim: 0.0726 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4371 data: 0.0023 max mem: 31671 Epoch: [34] [4180/5278] eta: 0:44:44 lr: 7.98193474655606e-06 loss: 0.0293 (0.0339) loss_seg: 0.0310 (0.0362) loss_lansim: 0.0714 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4258 data: 0.0023 max mem: 31671 Epoch: [34] [4190/5278] eta: 0:44:19 lr: 7.979321193980444e-06 loss: 0.0297 (0.0339) loss_seg: 0.0310 (0.0362) loss_lansim: 0.0717 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4207 data: 0.0023 max mem: 31671 Epoch: [34] [4200/5278] eta: 0:43:55 lr: 7.976707546285268e-06 loss: 0.0289 (0.0339) loss_seg: 0.0303 (0.0362) loss_lansim: 0.0714 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4175 data: 0.0023 max mem: 31671 Epoch: [34] [4210/5278] eta: 0:43:30 lr: 7.974093803432443e-06 loss: 0.0305 (0.0339) loss_seg: 0.0316 (0.0362) loss_lansim: 0.0709 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4289 data: 0.0024 max mem: 31671 Epoch: [34] [4220/5278] eta: 0:43:06 lr: 7.971479965383832e-06 loss: 0.0315 (0.0339) loss_seg: 0.0339 (0.0362) loss_lansim: 0.0726 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4239 data: 0.0024 max mem: 31671 Epoch: [34] [4230/5278] eta: 0:42:42 lr: 7.96886603210129e-06 loss: 0.0319 (0.0339) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0723 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4250 data: 0.0024 max mem: 31671 Epoch: [34] [4240/5278] eta: 0:42:17 lr: 7.966252003546633e-06 loss: 0.0324 (0.0339) loss_seg: 0.0355 (0.0362) loss_lansim: 0.0716 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4286 data: 0.0025 max mem: 31671 Epoch: [34] [4250/5278] eta: 0:41:53 lr: 7.963637879681652e-06 loss: 0.0328 (0.0339) loss_seg: 0.0358 (0.0362) loss_lansim: 0.0717 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4303 data: 0.0025 max mem: 31671 Epoch: [34] [4260/5278] eta: 0:41:28 lr: 7.961023660468113e-06 loss: 0.0330 (0.0339) loss_seg: 0.0360 (0.0362) loss_lansim: 0.0726 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4416 data: 0.0024 max mem: 31671 Epoch: [34] [4270/5278] eta: 0:41:04 lr: 7.958409345867733e-06 loss: 0.0325 (0.0339) loss_seg: 0.0357 (0.0362) loss_lansim: 0.0723 (0.0727) loss_contra: 0.0000 (0.0015) time: 2.4431 data: 0.0024 max mem: 31671 Epoch: [34] [4280/5278] eta: 0:40:40 lr: 7.955794935842218e-06 loss: 0.0324 (0.0339) loss_seg: 0.0348 (0.0362) loss_lansim: 0.0726 (0.0727) loss_contra: 0.0000 (0.0015) time: 2.4525 data: 0.0024 max mem: 31671 Epoch: [34] [4290/5278] eta: 0:40:15 lr: 7.953180430353245e-06 loss: 0.0324 (0.0339) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0728 (0.0727) loss_contra: 0.0000 (0.0015) time: 2.4561 data: 0.0024 max mem: 31671 Epoch: [34] [4300/5278] eta: 0:39:51 lr: 7.950565829362458e-06 loss: 0.0315 (0.0339) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0728 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4665 data: 0.0024 max mem: 31671 Epoch: [34] [4310/5278] eta: 0:39:26 lr: 7.947951132831458e-06 loss: 0.0300 (0.0339) loss_seg: 0.0323 (0.0362) loss_lansim: 0.0730 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4668 data: 0.0024 max mem: 31671 Epoch: [34] [4320/5278] eta: 0:39:02 lr: 7.945336340721836e-06 loss: 0.0300 (0.0339) loss_seg: 0.0328 (0.0362) loss_lansim: 0.0723 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4677 data: 0.0024 max mem: 31671 Epoch: [34] [4330/5278] eta: 0:38:37 lr: 7.942721452995145e-06 loss: 0.0314 (0.0339) loss_seg: 0.0332 (0.0362) loss_lansim: 0.0726 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4636 data: 0.0023 max mem: 31671 Epoch: [34] [4340/5278] eta: 0:38:13 lr: 7.940106469612915e-06 loss: 0.0306 (0.0339) loss_seg: 0.0329 (0.0362) loss_lansim: 0.0726 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4587 data: 0.0023 max mem: 31671 Epoch: [34] [4350/5278] eta: 0:37:49 lr: 7.93749139053663e-06 loss: 0.0315 (0.0339) loss_seg: 0.0332 (0.0362) loss_lansim: 0.0723 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4644 data: 0.0023 max mem: 31671 Epoch: [34] [4360/5278] eta: 0:37:24 lr: 7.93487621572776e-06 loss: 0.0300 (0.0339) loss_seg: 0.0320 (0.0362) loss_lansim: 0.0722 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4586 data: 0.0023 max mem: 31671 Epoch: [34] [4370/5278] eta: 0:37:00 lr: 7.932260945147742e-06 loss: 0.0286 (0.0339) loss_seg: 0.0307 (0.0362) loss_lansim: 0.0722 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4570 data: 0.0023 max mem: 31671 Epoch: [34] [4380/5278] eta: 0:36:35 lr: 7.929645578757988e-06 loss: 0.0286 (0.0339) loss_seg: 0.0307 (0.0362) loss_lansim: 0.0722 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4568 data: 0.0023 max mem: 31671 Epoch: [34] [4390/5278] eta: 0:36:11 lr: 7.92703011651986e-06 loss: 0.0264 (0.0338) loss_seg: 0.0281 (0.0362) loss_lansim: 0.0713 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4635 data: 0.0023 max mem: 31671 Epoch: [34] [4400/5278] eta: 0:35:46 lr: 7.924414558394715e-06 loss: 0.0260 (0.0338) loss_seg: 0.0277 (0.0361) loss_lansim: 0.0721 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4539 data: 0.0023 max mem: 31671 Epoch: [34] [4410/5278] eta: 0:35:22 lr: 7.921798904343863e-06 loss: 0.0271 (0.0338) loss_seg: 0.0289 (0.0361) loss_lansim: 0.0715 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4502 data: 0.0023 max mem: 31671 Epoch: [34] [4420/5278] eta: 0:34:58 lr: 7.919183154328604e-06 loss: 0.0264 (0.0338) loss_seg: 0.0281 (0.0361) loss_lansim: 0.0724 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4559 data: 0.0023 max mem: 31671 Epoch: [34] [4430/5278] eta: 0:34:33 lr: 7.916567308310179e-06 loss: 0.0264 (0.0338) loss_seg: 0.0281 (0.0361) loss_lansim: 0.0723 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4648 data: 0.0023 max mem: 31671 Epoch: [34] [4440/5278] eta: 0:34:09 lr: 7.913951366249821e-06 loss: 0.0263 (0.0338) loss_seg: 0.0281 (0.0361) loss_lansim: 0.0723 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4697 data: 0.0023 max mem: 31671 Epoch: [34] [4450/5278] eta: 0:33:44 lr: 7.911335328108728e-06 loss: 0.0263 (0.0338) loss_seg: 0.0278 (0.0361) loss_lansim: 0.0728 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4639 data: 0.0023 max mem: 31671 Epoch: [34] [4460/5278] eta: 0:33:20 lr: 7.908719193848074e-06 loss: 0.0270 (0.0338) loss_seg: 0.0284 (0.0361) loss_lansim: 0.0729 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4606 data: 0.0023 max mem: 31671 Epoch: [34] [4470/5278] eta: 0:32:56 lr: 7.906102963428985e-06 loss: 0.0278 (0.0338) loss_seg: 0.0288 (0.0361) loss_lansim: 0.0731 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4659 data: 0.0023 max mem: 31671 Epoch: [34] [4480/5278] eta: 0:32:31 lr: 7.903486636812573e-06 loss: 0.0278 (0.0338) loss_seg: 0.0285 (0.0361) loss_lansim: 0.0731 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4555 data: 0.0024 max mem: 31671 Epoch: [34] [4490/5278] eta: 0:32:07 lr: 7.900870213959916e-06 loss: 0.0278 (0.0338) loss_seg: 0.0290 (0.0361) loss_lansim: 0.0731 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4474 data: 0.0024 max mem: 31671 Epoch: [34] [4500/5278] eta: 0:31:42 lr: 7.898253694832062e-06 loss: 0.0284 (0.0338) loss_seg: 0.0300 (0.0361) loss_lansim: 0.0720 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4578 data: 0.0024 max mem: 31671 Epoch: [34] [4510/5278] eta: 0:31:18 lr: 7.895637079390032e-06 loss: 0.0285 (0.0338) loss_seg: 0.0296 (0.0361) loss_lansim: 0.0722 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4552 data: 0.0024 max mem: 31671 Epoch: [34] [4520/5278] eta: 0:30:53 lr: 7.893020367594805e-06 loss: 0.0294 (0.0338) loss_seg: 0.0305 (0.0361) loss_lansim: 0.0710 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4459 data: 0.0024 max mem: 31671 Epoch: [34] [4530/5278] eta: 0:30:29 lr: 7.890403559407338e-06 loss: 0.0286 (0.0338) loss_seg: 0.0296 (0.0361) loss_lansim: 0.0699 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4437 data: 0.0024 max mem: 31671 Epoch: [34] [4540/5278] eta: 0:30:04 lr: 7.887786654788562e-06 loss: 0.0278 (0.0338) loss_seg: 0.0292 (0.0361) loss_lansim: 0.0698 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4313 data: 0.0024 max mem: 31671 Epoch: [34] [4550/5278] eta: 0:29:40 lr: 7.885169653699377e-06 loss: 0.0286 (0.0338) loss_seg: 0.0292 (0.0361) loss_lansim: 0.0693 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4405 data: 0.0024 max mem: 31671 Epoch: [34] [4560/5278] eta: 0:29:15 lr: 7.882552556100639e-06 loss: 0.0286 (0.0338) loss_seg: 0.0296 (0.0361) loss_lansim: 0.0691 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4500 data: 0.0024 max mem: 31671 Epoch: [34] [4570/5278] eta: 0:28:51 lr: 7.87993536195319e-06 loss: 0.0286 (0.0338) loss_seg: 0.0300 (0.0361) loss_lansim: 0.0688 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4431 data: 0.0024 max mem: 31671 Epoch: [34] [4580/5278] eta: 0:28:26 lr: 7.877318071217833e-06 loss: 0.0293 (0.0337) loss_seg: 0.0302 (0.0361) loss_lansim: 0.0691 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4425 data: 0.0024 max mem: 31671 Epoch: [34] [4590/5278] eta: 0:28:02 lr: 7.874700683855351e-06 loss: 0.0295 (0.0338) loss_seg: 0.0313 (0.0361) loss_lansim: 0.0693 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4446 data: 0.0023 max mem: 31671 Epoch: [34] [4600/5278] eta: 0:27:38 lr: 7.872083199826477e-06 loss: 0.0294 (0.0338) loss_seg: 0.0307 (0.0361) loss_lansim: 0.0698 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4434 data: 0.0023 max mem: 31671 Epoch: [34] [4610/5278] eta: 0:27:13 lr: 7.86946561909193e-06 loss: 0.0292 (0.0337) loss_seg: 0.0302 (0.0360) loss_lansim: 0.0698 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4558 data: 0.0023 max mem: 31671 Epoch: [34] [4620/5278] eta: 0:26:49 lr: 7.866847941612395e-06 loss: 0.0281 (0.0337) loss_seg: 0.0301 (0.0360) loss_lansim: 0.0698 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4546 data: 0.0023 max mem: 31671 Epoch: [34] [4630/5278] eta: 0:26:24 lr: 7.864230167348527e-06 loss: 0.0289 (0.0337) loss_seg: 0.0305 (0.0360) loss_lansim: 0.0709 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4495 data: 0.0023 max mem: 31671 Epoch: [34] [4640/5278] eta: 0:26:00 lr: 7.861612296260943e-06 loss: 0.0297 (0.0337) loss_seg: 0.0308 (0.0360) loss_lansim: 0.0716 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4475 data: 0.0023 max mem: 31671 Epoch: [34] [4650/5278] eta: 0:25:35 lr: 7.858994328310235e-06 loss: 0.0295 (0.0337) loss_seg: 0.0307 (0.0360) loss_lansim: 0.0709 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4406 data: 0.0023 max mem: 31671 Epoch: [34] [4660/5278] eta: 0:25:11 lr: 7.856376263456968e-06 loss: 0.0300 (0.0337) loss_seg: 0.0308 (0.0360) loss_lansim: 0.0721 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4425 data: 0.0023 max mem: 31671 Epoch: [34] [4670/5278] eta: 0:24:46 lr: 7.853758101661678e-06 loss: 0.0301 (0.0337) loss_seg: 0.0316 (0.0360) loss_lansim: 0.0721 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4502 data: 0.0024 max mem: 31671 Epoch: [34] [4680/5278] eta: 0:24:22 lr: 7.85113984288485e-06 loss: 0.0307 (0.0337) loss_seg: 0.0321 (0.0361) loss_lansim: 0.0721 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4623 data: 0.0024 max mem: 31671 Epoch: [34] [4690/5278] eta: 0:23:58 lr: 7.848521487086966e-06 loss: 0.0305 (0.0337) loss_seg: 0.0319 (0.0361) loss_lansim: 0.0733 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4622 data: 0.0023 max mem: 31671 Epoch: [34] [4700/5278] eta: 0:23:33 lr: 7.845903034228458e-06 loss: 0.0300 (0.0337) loss_seg: 0.0311 (0.0360) loss_lansim: 0.0728 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4580 data: 0.0023 max mem: 31671 Epoch: [34] [4710/5278] eta: 0:23:09 lr: 7.843284484269737e-06 loss: 0.0305 (0.0337) loss_seg: 0.0321 (0.0360) loss_lansim: 0.0733 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4423 data: 0.0024 max mem: 31671 Epoch: [34] [4720/5278] eta: 0:22:44 lr: 7.840665837171183e-06 loss: 0.0305 (0.0337) loss_seg: 0.0330 (0.0360) loss_lansim: 0.0733 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4583 data: 0.0024 max mem: 31671 Epoch: [34] [4730/5278] eta: 0:22:20 lr: 7.838047092893133e-06 loss: 0.0307 (0.0337) loss_seg: 0.0331 (0.0360) loss_lansim: 0.0733 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4547 data: 0.0024 max mem: 31671 Epoch: [34] [4740/5278] eta: 0:21:55 lr: 7.835428251395905e-06 loss: 0.0319 (0.0337) loss_seg: 0.0335 (0.0361) loss_lansim: 0.0716 (0.0728) loss_contra: 0.0000 (0.0016) time: 2.4630 data: 0.0024 max mem: 31671 Epoch: [34] [4750/5278] eta: 0:21:31 lr: 7.832809312639788e-06 loss: 0.0324 (0.0337) loss_seg: 0.0337 (0.0361) loss_lansim: 0.0715 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4605 data: 0.0024 max mem: 31671 Epoch: [34] [4760/5278] eta: 0:21:06 lr: 7.830190276585037e-06 loss: 0.0320 (0.0337) loss_seg: 0.0337 (0.0361) loss_lansim: 0.0709 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4500 data: 0.0024 max mem: 31671 Epoch: [34] [4770/5278] eta: 0:20:42 lr: 7.827571143191862e-06 loss: 0.0320 (0.0337) loss_seg: 0.0336 (0.0361) loss_lansim: 0.0713 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4437 data: 0.0024 max mem: 31671 Epoch: [34] [4780/5278] eta: 0:20:17 lr: 7.824951912420462e-06 loss: 0.0306 (0.0337) loss_seg: 0.0324 (0.0360) loss_lansim: 0.0715 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4305 data: 0.0024 max mem: 31671 Epoch: [34] [4790/5278] eta: 0:19:53 lr: 7.822332584230994e-06 loss: 0.0316 (0.0337) loss_seg: 0.0331 (0.0361) loss_lansim: 0.0703 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4293 data: 0.0024 max mem: 31671 Epoch: [34] [4800/5278] eta: 0:19:28 lr: 7.819713158583595e-06 loss: 0.0324 (0.0337) loss_seg: 0.0335 (0.0360) loss_lansim: 0.0715 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4237 data: 0.0024 max mem: 31671 Epoch: [34] [4810/5278] eta: 0:19:04 lr: 7.817093635438353e-06 loss: 0.0306 (0.0337) loss_seg: 0.0326 (0.0360) loss_lansim: 0.0715 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4289 data: 0.0024 max mem: 31671 Epoch: [34] [4820/5278] eta: 0:18:40 lr: 7.814474014755336e-06 loss: 0.0305 (0.0337) loss_seg: 0.0326 (0.0360) loss_lansim: 0.0712 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4281 data: 0.0023 max mem: 31671 Epoch: [34] [4830/5278] eta: 0:18:15 lr: 7.811854296494579e-06 loss: 0.0301 (0.0337) loss_seg: 0.0324 (0.0360) loss_lansim: 0.0712 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4376 data: 0.0023 max mem: 31671 Epoch: [34] [4840/5278] eta: 0:17:51 lr: 7.809234480616096e-06 loss: 0.0302 (0.0337) loss_seg: 0.0324 (0.0360) loss_lansim: 0.0715 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4412 data: 0.0023 max mem: 31671 Epoch: [34] [4850/5278] eta: 0:17:26 lr: 7.806614567079845e-06 loss: 0.0300 (0.0337) loss_seg: 0.0316 (0.0360) loss_lansim: 0.0718 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4474 data: 0.0023 max mem: 31671 Epoch: [34] [4860/5278] eta: 0:17:02 lr: 7.803994555845773e-06 loss: 0.0288 (0.0337) loss_seg: 0.0310 (0.0360) loss_lansim: 0.0722 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4411 data: 0.0024 max mem: 31671 Epoch: [34] [4870/5278] eta: 0:16:37 lr: 7.80137444687379e-06 loss: 0.0286 (0.0337) loss_seg: 0.0305 (0.0360) loss_lansim: 0.0713 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4442 data: 0.0024 max mem: 31671 Epoch: [34] [4880/5278] eta: 0:16:13 lr: 7.798754240123783e-06 loss: 0.0288 (0.0337) loss_seg: 0.0313 (0.0360) loss_lansim: 0.0713 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4509 data: 0.0024 max mem: 31671 Epoch: [34] [4890/5278] eta: 0:15:48 lr: 7.796133935555585e-06 loss: 0.0286 (0.0337) loss_seg: 0.0305 (0.0360) loss_lansim: 0.0712 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4479 data: 0.0024 max mem: 31671 Epoch: [34] [4900/5278] eta: 0:15:24 lr: 7.793513533129015e-06 loss: 0.0296 (0.0337) loss_seg: 0.0322 (0.0360) loss_lansim: 0.0713 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4457 data: 0.0024 max mem: 31671 Epoch: [34] [4910/5278] eta: 0:14:59 lr: 7.790893032803861e-06 loss: 0.0308 (0.0337) loss_seg: 0.0338 (0.0360) loss_lansim: 0.0703 (0.0727) loss_contra: 0.0000 (0.0015) time: 2.4499 data: 0.0024 max mem: 31671 Epoch: [34] [4920/5278] eta: 0:14:35 lr: 7.78827243453988e-06 loss: 0.0317 (0.0337) loss_seg: 0.0343 (0.0361) loss_lansim: 0.0703 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4433 data: 0.0024 max mem: 31671 Epoch: [34] [4930/5278] eta: 0:14:11 lr: 7.785651738296782e-06 loss: 0.0317 (0.0337) loss_seg: 0.0343 (0.0360) loss_lansim: 0.0696 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4402 data: 0.0024 max mem: 31671 Epoch: [34] [4940/5278] eta: 0:13:46 lr: 7.78303094403426e-06 loss: 0.0316 (0.0337) loss_seg: 0.0338 (0.0360) loss_lansim: 0.0694 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4419 data: 0.0024 max mem: 31671 Epoch: [34] [4950/5278] eta: 0:13:22 lr: 7.78041005171197e-06 loss: 0.0312 (0.0337) loss_seg: 0.0338 (0.0360) loss_lansim: 0.0692 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4436 data: 0.0023 max mem: 31671 Epoch: [34] [4960/5278] eta: 0:12:57 lr: 7.777789061289542e-06 loss: 0.0316 (0.0337) loss_seg: 0.0338 (0.0360) loss_lansim: 0.0692 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4506 data: 0.0023 max mem: 31671 Epoch: [34] [4970/5278] eta: 0:12:33 lr: 7.775167972726575e-06 loss: 0.0317 (0.0337) loss_seg: 0.0343 (0.0360) loss_lansim: 0.0700 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4471 data: 0.0023 max mem: 31671 Epoch: [34] [4980/5278] eta: 0:12:08 lr: 7.772546785982617e-06 loss: 0.0319 (0.0337) loss_seg: 0.0343 (0.0361) loss_lansim: 0.0703 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4456 data: 0.0023 max mem: 31671 Epoch: [34] [4990/5278] eta: 0:11:44 lr: 7.769925501017205e-06 loss: 0.0311 (0.0337) loss_seg: 0.0328 (0.0360) loss_lansim: 0.0712 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4485 data: 0.0023 max mem: 31671 Epoch: [34] [5000/5278] eta: 0:11:19 lr: 7.76730411778984e-06 loss: 0.0311 (0.0337) loss_seg: 0.0319 (0.0360) loss_lansim: 0.0700 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4569 data: 0.0023 max mem: 31671 Epoch: [34] [5010/5278] eta: 0:10:55 lr: 7.764682636259992e-06 loss: 0.0287 (0.0337) loss_seg: 0.0312 (0.0360) loss_lansim: 0.0700 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4520 data: 0.0023 max mem: 31671 Epoch: [34] [5020/5278] eta: 0:10:30 lr: 7.762061056387088e-06 loss: 0.0281 (0.0337) loss_seg: 0.0307 (0.0360) loss_lansim: 0.0709 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4474 data: 0.0023 max mem: 31671 Epoch: [34] [5030/5278] eta: 0:10:06 lr: 7.759439378130531e-06 loss: 0.0281 (0.0337) loss_seg: 0.0307 (0.0360) loss_lansim: 0.0709 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4436 data: 0.0023 max mem: 31671 Epoch: [34] [5040/5278] eta: 0:09:41 lr: 7.756817601449695e-06 loss: 0.0281 (0.0337) loss_seg: 0.0304 (0.0360) loss_lansim: 0.0709 (0.0727) loss_contra: 0.0000 (0.0016) time: 2.4307 data: 0.0024 max mem: 31671 Epoch: [34] [5050/5278] eta: 0:09:17 lr: 7.754195726303924e-06 loss: 0.0281 (0.0337) loss_seg: 0.0304 (0.0360) loss_lansim: 0.0694 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4301 data: 0.0024 max mem: 31671 Epoch: [34] [5060/5278] eta: 0:08:53 lr: 7.751573752652513e-06 loss: 0.0285 (0.0337) loss_seg: 0.0305 (0.0360) loss_lansim: 0.0694 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4301 data: 0.0024 max mem: 31671 Epoch: [34] [5070/5278] eta: 0:08:28 lr: 7.748951680454744e-06 loss: 0.0290 (0.0337) loss_seg: 0.0314 (0.0361) loss_lansim: 0.0694 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4276 data: 0.0023 max mem: 31671 Epoch: [34] [5080/5278] eta: 0:08:04 lr: 7.746329509669855e-06 loss: 0.0285 (0.0338) loss_seg: 0.0305 (0.0361) loss_lansim: 0.0693 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4269 data: 0.0023 max mem: 31671 Epoch: [34] [5090/5278] eta: 0:07:39 lr: 7.743707240257068e-06 loss: 0.0293 (0.0338) loss_seg: 0.0320 (0.0361) loss_lansim: 0.0679 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4304 data: 0.0024 max mem: 31671 Epoch: [34] [5100/5278] eta: 0:07:15 lr: 7.741084872175544e-06 loss: 0.0297 (0.0338) loss_seg: 0.0320 (0.0361) loss_lansim: 0.0683 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4322 data: 0.0024 max mem: 31671 Epoch: [34] [5110/5278] eta: 0:06:50 lr: 7.738462405384437e-06 loss: 0.0303 (0.0338) loss_seg: 0.0330 (0.0361) loss_lansim: 0.0691 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4308 data: 0.0023 max mem: 31671 Epoch: [34] [5120/5278] eta: 0:06:26 lr: 7.73583983984286e-06 loss: 0.0302 (0.0338) loss_seg: 0.0326 (0.0361) loss_lansim: 0.0689 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4332 data: 0.0023 max mem: 31671 Epoch: [34] [5130/5278] eta: 0:06:01 lr: 7.733217175509901e-06 loss: 0.0303 (0.0338) loss_seg: 0.0330 (0.0361) loss_lansim: 0.0689 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4352 data: 0.0023 max mem: 31671 Epoch: [34] [5140/5278] eta: 0:05:37 lr: 7.730594412344594e-06 loss: 0.0308 (0.0338) loss_seg: 0.0332 (0.0361) loss_lansim: 0.0697 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4410 data: 0.0023 max mem: 31671 Epoch: [34] [5150/5278] eta: 0:05:12 lr: 7.727971550305964e-06 loss: 0.0309 (0.0338) loss_seg: 0.0333 (0.0361) loss_lansim: 0.0699 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4412 data: 0.0023 max mem: 31671 Epoch: [34] [5160/5278] eta: 0:04:48 lr: 7.725348589352994e-06 loss: 0.0312 (0.0339) loss_seg: 0.0342 (0.0362) loss_lansim: 0.0703 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4380 data: 0.0024 max mem: 31671 Epoch: [34] [5170/5278] eta: 0:04:24 lr: 7.722725529444642e-06 loss: 0.0307 (0.0338) loss_seg: 0.0326 (0.0362) loss_lansim: 0.0694 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4469 data: 0.0023 max mem: 31671 Epoch: [34] [5180/5278] eta: 0:03:59 lr: 7.72010237053981e-06 loss: 0.0307 (0.0338) loss_seg: 0.0330 (0.0362) loss_lansim: 0.0703 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4472 data: 0.0023 max mem: 31671 Epoch: [34] [5190/5278] eta: 0:03:35 lr: 7.717479112597397e-06 loss: 0.0307 (0.0338) loss_seg: 0.0326 (0.0362) loss_lansim: 0.0707 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4452 data: 0.0023 max mem: 31671 Epoch: [34] [5200/5278] eta: 0:03:10 lr: 7.714855755576254e-06 loss: 0.0304 (0.0338) loss_seg: 0.0326 (0.0361) loss_lansim: 0.0707 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4401 data: 0.0024 max mem: 31671 Epoch: [34] [5210/5278] eta: 0:02:46 lr: 7.7122322994352e-06 loss: 0.0293 (0.0338) loss_seg: 0.0321 (0.0362) loss_lansim: 0.0707 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4401 data: 0.0024 max mem: 31671 Epoch: [34] [5220/5278] eta: 0:02:21 lr: 7.70960874413303e-06 loss: 0.0303 (0.0339) loss_seg: 0.0324 (0.0362) loss_lansim: 0.0707 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4487 data: 0.0024 max mem: 31671 Epoch: [34] [5230/5278] eta: 0:01:57 lr: 7.70698508962849e-06 loss: 0.0299 (0.0339) loss_seg: 0.0321 (0.0362) loss_lansim: 0.0704 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4447 data: 0.0024 max mem: 31671 Epoch: [34] [5240/5278] eta: 0:01:32 lr: 7.704361335880306e-06 loss: 0.0293 (0.0338) loss_seg: 0.0313 (0.0362) loss_lansim: 0.0687 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4485 data: 0.0024 max mem: 31671 Epoch: [34] [5250/5278] eta: 0:01:08 lr: 7.701737482847168e-06 loss: 0.0291 (0.0338) loss_seg: 0.0307 (0.0362) loss_lansim: 0.0693 (0.0726) loss_contra: 0.0000 (0.0015) time: 2.4468 data: 0.0024 max mem: 31671 Epoch: [34] [5260/5278] eta: 0:00:44 lr: 7.699113530487742e-06 loss: 0.0286 (0.0338) loss_seg: 0.0306 (0.0362) loss_lansim: 0.0693 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4561 data: 0.0024 max mem: 31671 Epoch: [34] [5270/5278] eta: 0:00:19 lr: 7.696489478760638e-06 loss: 0.0293 (0.0339) loss_seg: 0.0313 (0.0362) loss_lansim: 0.0705 (0.0726) loss_contra: 0.0000 (0.0016) time: 2.4456 data: 0.0023 max mem: 31671 Epoch: [34] Total time: 3:35:06 Test: [ 0/2573] eta: 1:34:02 time: 2.1930 data: 2.0164 max mem: 31671 Test: [ 100/2573] eta: 0:06:39 time: 0.1412 data: 0.0016 max mem: 31671 Test: [ 200/2573] eta: 0:06:05 time: 0.1462 data: 0.0017 max mem: 31671 Test: [ 300/2573] eta: 0:05:40 time: 0.1416 data: 0.0017 max mem: 31671 Test: [ 400/2573] eta: 0:05:22 time: 0.1438 data: 0.0017 max mem: 31671 Test: [ 500/2573] eta: 0:05:06 time: 0.1451 data: 0.0015 max mem: 31671 Test: [ 600/2573] eta: 0:04:51 time: 0.1467 data: 0.0014 max mem: 31671 Test: [ 700/2573] eta: 0:04:37 time: 0.1501 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:22 time: 0.1469 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:07 time: 0.1471 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:52 time: 0.1457 data: 0.0017 max mem: 31671 Test: [1100/2573] eta: 0:03:36 time: 0.1437 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:21 time: 0.1454 data: 0.0014 max mem: 31671 Test: [1300/2573] eta: 0:03:06 time: 0.1449 data: 0.0014 max mem: 31671 Test: [1400/2573] eta: 0:02:51 time: 0.1411 data: 0.0013 max mem: 31671 Test: [1500/2573] eta: 0:02:37 time: 0.1453 data: 0.0013 max mem: 31671 Test: [1600/2573] eta: 0:02:22 time: 0.1446 data: 0.0014 max mem: 31671 Test: [1700/2573] eta: 0:02:07 time: 0.1448 data: 0.0014 max mem: 31671 Test: [1800/2573] eta: 0:01:52 time: 0.1417 data: 0.0014 max mem: 31671 Test: [1900/2573] eta: 0:01:38 time: 0.1404 data: 0.0013 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1401 data: 0.0014 max mem: 31671 Test: [2100/2573] eta: 0:01:08 time: 0.1446 data: 0.0014 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1387 data: 0.0014 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1439 data: 0.0013 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1419 data: 0.0013 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1442 data: 0.0014 max mem: 31671 Test: Total time: 0:06:12 Final results: precision@0.5 = 71.79 precision@0.6 = 67.48 precision@0.7 = 61.23 precision@0.8 = 50.14 precision@0.9 = 25.33 overall IoU = 60.69 mean IoU = 63.68 Average object IoU 0.6367853383678523 Overall IoU 60.68542127556298 Better epoch: 34 The best_performance is 60.68542127556298 Epoch: [35] [ 0/5278] eta: 5:56:33 lr: 7.694390165806406e-06 loss: 0.0215 (0.0215) loss_seg: 0.0234 (0.0234) loss_lansim: 0.0708 (0.0708) loss_contra: 0.0000 (0.0000) time: 4.0533 data: 1.1912 max mem: 31671 Epoch: [35] [ 10/5278] eta: 3:47:44 lr: 7.69176593511312e-06 loss: 0.0302 (0.0361) loss_seg: 0.0327 (0.0388) loss_lansim: 0.0696 (0.0699) loss_contra: 0.0001 (0.0203) time: 2.5938 data: 0.1106 max mem: 31671 Epoch: [35] [ 20/5278] eta: 3:41:59 lr: 7.689141604936136e-06 loss: 0.0312 (0.0343) loss_seg: 0.0327 (0.0367) loss_lansim: 0.0658 (0.0669) loss_contra: 0.0000 (0.0108) time: 2.5331 data: 0.0588 max mem: 31671 Epoch: [35] [ 30/5278] eta: 3:40:12 lr: 7.686517175233949e-06 loss: 0.0297 (0.0333) loss_seg: 0.0316 (0.0358) loss_lansim: 0.0667 (0.0674) loss_contra: 0.0000 (0.0075) time: 2.5177 data: 0.0405 max mem: 31671 Epoch: [35] [ 40/5278] eta: 3:37:05 lr: 7.683892645965036e-06 loss: 0.0297 (0.0325) loss_seg: 0.0316 (0.0349) loss_lansim: 0.0671 (0.0681) loss_contra: 0.0000 (0.0064) time: 2.4867 data: 0.0312 max mem: 31671 Epoch: [35] [ 50/5278] eta: 3:36:19 lr: 7.681268017087814e-06 loss: 0.0296 (0.0334) loss_seg: 0.0314 (0.0358) loss_lansim: 0.0662 (0.0674) loss_contra: 0.0001 (0.0053) time: 2.4826 data: 0.0256 max mem: 31671 Epoch: [35] [ 60/5278] eta: 3:36:02 lr: 7.678643288560692e-06 loss: 0.0297 (0.0339) loss_seg: 0.0318 (0.0363) loss_lansim: 0.0662 (0.0678) loss_contra: 0.0000 (0.0047) time: 2.4842 data: 0.0218 max mem: 31671 Epoch: [35] [ 70/5278] eta: 3:36:11 lr: 7.676018460342032e-06 loss: 0.0297 (0.0336) loss_seg: 0.0316 (0.0360) loss_lansim: 0.0679 (0.0680) loss_contra: 0.0000 (0.0040) time: 2.4907 data: 0.0191 max mem: 31671 Epoch: [35] [ 80/5278] eta: 3:35:51 lr: 7.673393532390178e-06 loss: 0.0303 (0.0336) loss_seg: 0.0321 (0.0360) loss_lansim: 0.0671 (0.0682) loss_contra: 0.0000 (0.0036) time: 2.4916 data: 0.0170 max mem: 31671 Epoch: [35] [ 90/5278] eta: 3:35:08 lr: 7.670768504663413e-06 loss: 0.0303 (0.0332) loss_seg: 0.0318 (0.0355) loss_lansim: 0.0683 (0.0688) loss_contra: 0.0000 (0.0032) time: 2.4881 data: 0.0154 max mem: 31671 Epoch: [35] [ 100/5278] eta: 3:34:42 lr: 7.668143377120015e-06 loss: 0.0303 (0.0338) loss_seg: 0.0321 (0.0362) loss_lansim: 0.0684 (0.0694) loss_contra: 0.0000 (0.0033) time: 2.4723 data: 0.0023 max mem: 31671 Epoch: [35] [ 110/5278] eta: 3:34:04 lr: 7.665518149718212e-06 loss: 0.0299 (0.0338) loss_seg: 0.0316 (0.0362) loss_lansim: 0.0689 (0.0698) loss_contra: 0.0000 (0.0094) time: 2.4734 data: 0.0023 max mem: 31671 Epoch: [35] [ 120/5278] eta: 3:33:15 lr: 7.662892822416215e-06 loss: 0.0303 (0.0340) loss_seg: 0.0319 (0.0363) loss_lansim: 0.0698 (0.0702) loss_contra: 0.0000 (0.0088) time: 2.4697 data: 0.0024 max mem: 31671 Epoch: [35] [ 130/5278] eta: 3:32:20 lr: 7.660267395172176e-06 loss: 0.0314 (0.0340) loss_seg: 0.0326 (0.0364) loss_lansim: 0.0698 (0.0699) loss_contra: 0.0000 (0.0081) time: 2.4616 data: 0.0024 max mem: 31671 Epoch: [35] [ 140/5278] eta: 3:31:28 lr: 7.657641867944232e-06 loss: 0.0314 (0.0340) loss_seg: 0.0330 (0.0364) loss_lansim: 0.0702 (0.0700) loss_contra: 0.0000 (0.0101) time: 2.4624 data: 0.0024 max mem: 31671 Epoch: [35] [ 150/5278] eta: 3:30:51 lr: 7.655016240690486e-06 loss: 0.0322 (0.0340) loss_seg: 0.0333 (0.0363) loss_lansim: 0.0708 (0.0699) loss_contra: 0.0000 (0.0095) time: 2.4594 data: 0.0024 max mem: 31671 Epoch: [35] [ 160/5278] eta: 3:30:06 lr: 7.652390513369011e-06 loss: 0.0321 (0.0338) loss_seg: 0.0333 (0.0361) loss_lansim: 0.0714 (0.0702) loss_contra: 0.0000 (0.0089) time: 2.4505 data: 0.0024 max mem: 31671 Epoch: [35] [ 170/5278] eta: 3:29:23 lr: 7.649764685937824e-06 loss: 0.0320 (0.0334) loss_seg: 0.0332 (0.0357) loss_lansim: 0.0717 (0.0703) loss_contra: 0.0000 (0.0084) time: 2.4374 data: 0.0024 max mem: 31671 Epoch: [35] [ 180/5278] eta: 3:28:46 lr: 7.647138758354929e-06 loss: 0.0320 (0.0337) loss_seg: 0.0333 (0.0361) loss_lansim: 0.0719 (0.0705) loss_contra: 0.0000 (0.0080) time: 2.4292 data: 0.0024 max mem: 31671 Epoch: [35] [ 190/5278] eta: 3:28:19 lr: 7.644512730578296e-06 loss: 0.0325 (0.0338) loss_seg: 0.0339 (0.0361) loss_lansim: 0.0714 (0.0704) loss_contra: 0.0000 (0.0076) time: 2.4279 data: 0.0024 max mem: 31671 Epoch: [35] [ 200/5278] eta: 3:27:41 lr: 7.64188660256586e-06 loss: 0.0321 (0.0336) loss_seg: 0.0333 (0.0359) loss_lansim: 0.0708 (0.0706) loss_contra: 0.0000 (0.0072) time: 2.4196 data: 0.0024 max mem: 31671 Epoch: [35] [ 210/5278] eta: 3:27:18 lr: 7.639260374275505e-06 loss: 0.0325 (0.0335) loss_seg: 0.0341 (0.0359) loss_lansim: 0.0708 (0.0706) loss_contra: 0.0000 (0.0069) time: 2.4200 data: 0.0024 max mem: 31671 Epoch: [35] [ 220/5278] eta: 3:26:54 lr: 7.636634045665103e-06 loss: 0.0321 (0.0335) loss_seg: 0.0334 (0.0359) loss_lansim: 0.0716 (0.0709) loss_contra: 0.0000 (0.0066) time: 2.4228 data: 0.0024 max mem: 31671 Epoch: [35] [ 230/5278] eta: 3:26:09 lr: 7.634007616692484e-06 loss: 0.0317 (0.0333) loss_seg: 0.0329 (0.0356) loss_lansim: 0.0717 (0.0708) loss_contra: 0.0000 (0.0064) time: 2.4181 data: 0.0023 max mem: 31671 Epoch: [35] [ 240/5278] eta: 3:25:53 lr: 7.631381087315447e-06 loss: 0.0311 (0.0331) loss_seg: 0.0322 (0.0353) loss_lansim: 0.0716 (0.0708) loss_contra: 0.0000 (0.0061) time: 2.4277 data: 0.0023 max mem: 31671 Epoch: [35] [ 250/5278] eta: 3:25:32 lr: 7.628754457491754e-06 loss: 0.0303 (0.0331) loss_seg: 0.0322 (0.0353) loss_lansim: 0.0717 (0.0709) loss_contra: 0.0000 (0.0062) time: 2.4311 data: 0.0023 max mem: 31671 Epoch: [35] [ 260/5278] eta: 3:25:08 lr: 7.626127727179128e-06 loss: 0.0303 (0.0332) loss_seg: 0.0322 (0.0355) loss_lansim: 0.0709 (0.0709) loss_contra: 0.0000 (0.0063) time: 2.4363 data: 0.0023 max mem: 31671 Epoch: [35] [ 270/5278] eta: 3:24:38 lr: 7.623500896335266e-06 loss: 0.0320 (0.0333) loss_seg: 0.0322 (0.0356) loss_lansim: 0.0709 (0.0709) loss_contra: 0.0000 (0.0060) time: 2.4384 data: 0.0023 max mem: 31671 Epoch: [35] [ 280/5278] eta: 3:24:06 lr: 7.620873964917828e-06 loss: 0.0317 (0.0333) loss_seg: 0.0322 (0.0356) loss_lansim: 0.0712 (0.0711) loss_contra: 0.0000 (0.0058) time: 2.4378 data: 0.0023 max mem: 31671 Epoch: [35] [ 290/5278] eta: 3:23:30 lr: 7.618246932884449e-06 loss: 0.0312 (0.0335) loss_seg: 0.0322 (0.0357) loss_lansim: 0.0721 (0.0713) loss_contra: 0.0000 (0.0056) time: 2.4313 data: 0.0023 max mem: 31671 Epoch: [35] [ 300/5278] eta: 3:22:58 lr: 7.615619800192708e-06 loss: 0.0312 (0.0334) loss_seg: 0.0322 (0.0357) loss_lansim: 0.0724 (0.0713) loss_contra: 0.0000 (0.0055) time: 2.4314 data: 0.0023 max mem: 31671 Epoch: [35] [ 310/5278] eta: 3:22:38 lr: 7.6129925668001684e-06 loss: 0.0305 (0.0333) loss_seg: 0.0322 (0.0355) loss_lansim: 0.0720 (0.0714) loss_contra: 0.0000 (0.0053) time: 2.4326 data: 0.0023 max mem: 31671 Epoch: [35] [ 320/5278] eta: 3:22:02 lr: 7.610365232664357e-06 loss: 0.0306 (0.0332) loss_seg: 0.0322 (0.0355) loss_lansim: 0.0718 (0.0715) loss_contra: 0.0000 (0.0051) time: 2.4244 data: 0.0023 max mem: 31671 Epoch: [35] [ 330/5278] eta: 3:21:39 lr: 7.6077377977427655e-06 loss: 0.0311 (0.0334) loss_seg: 0.0334 (0.0357) loss_lansim: 0.0712 (0.0714) loss_contra: 0.0000 (0.0051) time: 2.4340 data: 0.0023 max mem: 31671 Epoch: [35] [ 340/5278] eta: 3:21:17 lr: 7.605110261992843e-06 loss: 0.0312 (0.0334) loss_seg: 0.0341 (0.0357) loss_lansim: 0.0707 (0.0712) loss_contra: 0.0000 (0.0050) time: 2.4304 data: 0.0023 max mem: 31671 Epoch: [35] [ 350/5278] eta: 3:20:44 lr: 7.6024826253720105e-06 loss: 0.0312 (0.0334) loss_seg: 0.0341 (0.0357) loss_lansim: 0.0705 (0.0712) loss_contra: 0.0000 (0.0048) time: 2.4223 data: 0.0024 max mem: 31671 Epoch: [35] [ 360/5278] eta: 3:20:13 lr: 7.59985488783766e-06 loss: 0.0311 (0.0333) loss_seg: 0.0335 (0.0356) loss_lansim: 0.0700 (0.0711) loss_contra: 0.0000 (0.0047) time: 2.4166 data: 0.0023 max mem: 31671 Epoch: [35] [ 370/5278] eta: 3:19:55 lr: 7.597227049347147e-06 loss: 0.0306 (0.0333) loss_seg: 0.0323 (0.0357) loss_lansim: 0.0692 (0.0711) loss_contra: 0.0000 (0.0047) time: 2.4230 data: 0.0023 max mem: 31671 Epoch: [35] [ 380/5278] eta: 3:19:28 lr: 7.59459910985778e-06 loss: 0.0289 (0.0331) loss_seg: 0.0313 (0.0355) loss_lansim: 0.0680 (0.0709) loss_contra: 0.0000 (0.0046) time: 2.4244 data: 0.0023 max mem: 31671 Epoch: [35] [ 390/5278] eta: 3:19:07 lr: 7.5919710693268474e-06 loss: 0.0287 (0.0331) loss_seg: 0.0312 (0.0354) loss_lansim: 0.0677 (0.0708) loss_contra: 0.0000 (0.0045) time: 2.4337 data: 0.0023 max mem: 31671 Epoch: [35] [ 400/5278] eta: 3:18:42 lr: 7.589342927711597e-06 loss: 0.0286 (0.0333) loss_seg: 0.0312 (0.0357) loss_lansim: 0.0676 (0.0707) loss_contra: 0.0000 (0.0044) time: 2.4371 data: 0.0023 max mem: 31671 Epoch: [35] [ 410/5278] eta: 3:18:24 lr: 7.586714684969252e-06 loss: 0.0286 (0.0333) loss_seg: 0.0310 (0.0357) loss_lansim: 0.0667 (0.0707) loss_contra: 0.0000 (0.0045) time: 2.4396 data: 0.0023 max mem: 31671 Epoch: [35] [ 420/5278] eta: 3:17:55 lr: 7.58408634105698e-06 loss: 0.0284 (0.0333) loss_seg: 0.0306 (0.0356) loss_lansim: 0.0664 (0.0707) loss_contra: 0.0000 (0.0044) time: 2.4425 data: 0.0024 max mem: 31671 Epoch: [35] [ 430/5278] eta: 3:17:35 lr: 7.58145789593193e-06 loss: 0.0284 (0.0333) loss_seg: 0.0306 (0.0356) loss_lansim: 0.0672 (0.0707) loss_contra: 0.0000 (0.0043) time: 2.4455 data: 0.0023 max mem: 31671 Epoch: [35] [ 440/5278] eta: 3:17:04 lr: 7.578829349551216e-06 loss: 0.0284 (0.0332) loss_seg: 0.0306 (0.0356) loss_lansim: 0.0667 (0.0707) loss_contra: 0.0000 (0.0042) time: 2.4383 data: 0.0023 max mem: 31671 Epoch: [35] [ 450/5278] eta: 3:16:30 lr: 7.576200701871917e-06 loss: 0.0283 (0.0331) loss_seg: 0.0305 (0.0355) loss_lansim: 0.0672 (0.0707) loss_contra: 0.0000 (0.0041) time: 2.4352 data: 0.0023 max mem: 31671 Epoch: [35] [ 460/5278] eta: 3:16:08 lr: 7.5735719528510645e-06 loss: 0.0279 (0.0331) loss_seg: 0.0305 (0.0354) loss_lansim: 0.0679 (0.0708) loss_contra: 0.0000 (0.0041) time: 2.4416 data: 0.0023 max mem: 31671 Epoch: [35] [ 470/5278] eta: 3:15:40 lr: 7.570943102445671e-06 loss: 0.0286 (0.0332) loss_seg: 0.0307 (0.0355) loss_lansim: 0.0684 (0.0708) loss_contra: 0.0000 (0.0040) time: 2.4341 data: 0.0023 max mem: 31671 Epoch: [35] [ 480/5278] eta: 3:15:14 lr: 7.568314150612707e-06 loss: 0.0295 (0.0331) loss_seg: 0.0312 (0.0354) loss_lansim: 0.0689 (0.0709) loss_contra: 0.0000 (0.0039) time: 2.4340 data: 0.0023 max mem: 31671 Epoch: [35] [ 490/5278] eta: 3:14:54 lr: 7.565685097309111e-06 loss: 0.0297 (0.0330) loss_seg: 0.0312 (0.0353) loss_lansim: 0.0705 (0.0709) loss_contra: 0.0000 (0.0039) time: 2.4353 data: 0.0023 max mem: 31671 Epoch: [35] [ 500/5278] eta: 3:14:22 lr: 7.563055942491788e-06 loss: 0.0299 (0.0331) loss_seg: 0.0312 (0.0354) loss_lansim: 0.0701 (0.0709) loss_contra: 0.0000 (0.0040) time: 2.4275 data: 0.0023 max mem: 31671 Epoch: [35] [ 510/5278] eta: 3:13:56 lr: 7.5604266861175945e-06 loss: 0.0301 (0.0331) loss_seg: 0.0318 (0.0354) loss_lansim: 0.0705 (0.0709) loss_contra: 0.0000 (0.0039) time: 2.4200 data: 0.0022 max mem: 31671 Epoch: [35] [ 520/5278] eta: 3:13:32 lr: 7.557797328143369e-06 loss: 0.0299 (0.0329) loss_seg: 0.0313 (0.0352) loss_lansim: 0.0705 (0.0708) loss_contra: 0.0000 (0.0039) time: 2.4242 data: 0.0023 max mem: 31671 Epoch: [35] [ 530/5278] eta: 3:13:07 lr: 7.5551678685259075e-06 loss: 0.0301 (0.0330) loss_seg: 0.0318 (0.0354) loss_lansim: 0.0699 (0.0707) loss_contra: 0.0000 (0.0038) time: 2.4194 data: 0.0023 max mem: 31671 Epoch: [35] [ 540/5278] eta: 3:12:44 lr: 7.552538307221979e-06 loss: 0.0294 (0.0329) loss_seg: 0.0312 (0.0352) loss_lansim: 0.0694 (0.0707) loss_contra: 0.0000 (0.0037) time: 2.4262 data: 0.0023 max mem: 31671 Epoch: [35] [ 550/5278] eta: 3:12:15 lr: 7.549908644188295e-06 loss: 0.0292 (0.0330) loss_seg: 0.0306 (0.0353) loss_lansim: 0.0700 (0.0708) loss_contra: 0.0000 (0.0037) time: 2.4298 data: 0.0023 max mem: 31671 Epoch: [35] [ 560/5278] eta: 3:11:45 lr: 7.5472788793815586e-06 loss: 0.0299 (0.0330) loss_seg: 0.0312 (0.0353) loss_lansim: 0.0694 (0.0708) loss_contra: 0.0000 (0.0036) time: 2.4204 data: 0.0023 max mem: 31671 Epoch: [35] [ 570/5278] eta: 3:11:17 lr: 7.54464901275842e-06 loss: 0.0291 (0.0330) loss_seg: 0.0311 (0.0353) loss_lansim: 0.0694 (0.0708) loss_contra: 0.0000 (0.0036) time: 2.4190 data: 0.0023 max mem: 31671 Epoch: [35] [ 580/5278] eta: 3:10:51 lr: 7.54201904427551e-06 loss: 0.0299 (0.0330) loss_seg: 0.0311 (0.0353) loss_lansim: 0.0694 (0.0708) loss_contra: 0.0000 (0.0035) time: 2.4186 data: 0.0023 max mem: 31671 Epoch: [35] [ 590/5278] eta: 3:10:24 lr: 7.5393889738894014e-06 loss: 0.0295 (0.0330) loss_seg: 0.0313 (0.0353) loss_lansim: 0.0692 (0.0708) loss_contra: 0.0000 (0.0035) time: 2.4106 data: 0.0024 max mem: 31671 Epoch: [35] [ 600/5278] eta: 3:10:02 lr: 7.536758801556649e-06 loss: 0.0293 (0.0330) loss_seg: 0.0311 (0.0352) loss_lansim: 0.0692 (0.0708) loss_contra: 0.0000 (0.0035) time: 2.4202 data: 0.0024 max mem: 31671 Epoch: [35] [ 610/5278] eta: 3:09:40 lr: 7.53412852723377e-06 loss: 0.0291 (0.0328) loss_seg: 0.0300 (0.0351) loss_lansim: 0.0687 (0.0707) loss_contra: 0.0000 (0.0034) time: 2.4255 data: 0.0024 max mem: 31671 Epoch: [35] [ 620/5278] eta: 3:09:15 lr: 7.531498150877249e-06 loss: 0.0293 (0.0328) loss_seg: 0.0311 (0.0350) loss_lansim: 0.0686 (0.0706) loss_contra: 0.0000 (0.0035) time: 2.4239 data: 0.0024 max mem: 31671 Epoch: [35] [ 630/5278] eta: 3:08:48 lr: 7.528867672443518e-06 loss: 0.0291 (0.0328) loss_seg: 0.0300 (0.0350) loss_lansim: 0.0686 (0.0706) loss_contra: 0.0000 (0.0034) time: 2.4203 data: 0.0024 max mem: 31671 Epoch: [35] [ 640/5278] eta: 3:08:16 lr: 7.5262370918889924e-06 loss: 0.0292 (0.0327) loss_seg: 0.0300 (0.0349) loss_lansim: 0.0683 (0.0705) loss_contra: 0.0000 (0.0034) time: 2.4073 data: 0.0024 max mem: 31671 Epoch: [35] [ 650/5278] eta: 3:07:49 lr: 7.5236064091700445e-06 loss: 0.0293 (0.0327) loss_seg: 0.0300 (0.0349) loss_lansim: 0.0680 (0.0705) loss_contra: 0.0000 (0.0034) time: 2.4080 data: 0.0024 max mem: 31671 Epoch: [35] [ 660/5278] eta: 3:07:25 lr: 7.520975624243018e-06 loss: 0.0291 (0.0327) loss_seg: 0.0298 (0.0349) loss_lansim: 0.0682 (0.0704) loss_contra: 0.0000 (0.0034) time: 2.4159 data: 0.0024 max mem: 31671 Epoch: [35] [ 670/5278] eta: 3:07:01 lr: 7.518344737064202e-06 loss: 0.0291 (0.0326) loss_seg: 0.0297 (0.0349) loss_lansim: 0.0679 (0.0704) loss_contra: 0.0000 (0.0033) time: 2.4205 data: 0.0024 max mem: 31671 Epoch: [35] [ 680/5278] eta: 3:06:40 lr: 7.515713747589869e-06 loss: 0.0289 (0.0326) loss_seg: 0.0297 (0.0348) loss_lansim: 0.0678 (0.0704) loss_contra: 0.0000 (0.0033) time: 2.4269 data: 0.0024 max mem: 31671 Epoch: [35] [ 690/5278] eta: 3:06:18 lr: 7.513082655776252e-06 loss: 0.0282 (0.0326) loss_seg: 0.0294 (0.0348) loss_lansim: 0.0671 (0.0704) loss_contra: 0.0000 (0.0033) time: 2.4325 data: 0.0024 max mem: 31671 Epoch: [35] [ 700/5278] eta: 3:05:55 lr: 7.510451461579547e-06 loss: 0.0291 (0.0326) loss_seg: 0.0298 (0.0348) loss_lansim: 0.0668 (0.0703) loss_contra: 0.0000 (0.0032) time: 2.4329 data: 0.0024 max mem: 31671 Epoch: [35] [ 710/5278] eta: 3:05:33 lr: 7.507820164955903e-06 loss: 0.0293 (0.0327) loss_seg: 0.0306 (0.0349) loss_lansim: 0.0677 (0.0703) loss_contra: 0.0000 (0.0032) time: 2.4333 data: 0.0024 max mem: 31671 Epoch: [35] [ 720/5278] eta: 3:05:12 lr: 7.50518876586145e-06 loss: 0.0293 (0.0328) loss_seg: 0.0307 (0.0351) loss_lansim: 0.0677 (0.0703) loss_contra: 0.0000 (0.0031) time: 2.4383 data: 0.0024 max mem: 31671 Epoch: [35] [ 730/5278] eta: 3:04:49 lr: 7.5025572642522735e-06 loss: 0.0289 (0.0328) loss_seg: 0.0306 (0.0351) loss_lansim: 0.0668 (0.0703) loss_contra: 0.0000 (0.0031) time: 2.4444 data: 0.0024 max mem: 31671 Epoch: [35] [ 740/5278] eta: 3:04:20 lr: 7.499925660084425e-06 loss: 0.0285 (0.0327) loss_seg: 0.0298 (0.0350) loss_lansim: 0.0665 (0.0702) loss_contra: 0.0000 (0.0031) time: 2.4481 data: 0.0024 max mem: 31671 Epoch: [35] [ 750/5278] eta: 3:03:55 lr: 7.497293953313927e-06 loss: 0.0289 (0.0327) loss_seg: 0.0313 (0.0350) loss_lansim: 0.0680 (0.0702) loss_contra: 0.0000 (0.0030) time: 2.4510 data: 0.0024 max mem: 31671 Epoch: [35] [ 760/5278] eta: 3:03:29 lr: 7.494662143896745e-06 loss: 0.0293 (0.0327) loss_seg: 0.0321 (0.0350) loss_lansim: 0.0668 (0.0702) loss_contra: 0.0000 (0.0030) time: 2.4468 data: 0.0024 max mem: 31671 Epoch: [35] [ 770/5278] eta: 3:03:02 lr: 7.492030231788828e-06 loss: 0.0289 (0.0326) loss_seg: 0.0313 (0.0349) loss_lansim: 0.0686 (0.0702) loss_contra: 0.0000 (0.0030) time: 2.4421 data: 0.0024 max mem: 31671 Epoch: [35] [ 780/5278] eta: 3:02:37 lr: 7.489398216946085e-06 loss: 0.0293 (0.0327) loss_seg: 0.0318 (0.0349) loss_lansim: 0.0672 (0.0701) loss_contra: 0.0000 (0.0029) time: 2.4363 data: 0.0024 max mem: 31671 Epoch: [35] [ 790/5278] eta: 3:02:13 lr: 7.486766099324391e-06 loss: 0.0304 (0.0326) loss_seg: 0.0321 (0.0349) loss_lansim: 0.0686 (0.0701) loss_contra: 0.0000 (0.0029) time: 2.4352 data: 0.0024 max mem: 31671 Epoch: [35] [ 800/5278] eta: 3:01:50 lr: 7.484133878879568e-06 loss: 0.0280 (0.0325) loss_seg: 0.0308 (0.0348) loss_lansim: 0.0683 (0.0701) loss_contra: 0.0000 (0.0029) time: 2.4344 data: 0.0024 max mem: 31671 Epoch: [35] [ 810/5278] eta: 3:01:24 lr: 7.481501555567421e-06 loss: 0.0285 (0.0325) loss_seg: 0.0313 (0.0348) loss_lansim: 0.0683 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4267 data: 0.0024 max mem: 31671 Epoch: [35] [ 820/5278] eta: 3:00:53 lr: 7.478869129343713e-06 loss: 0.0287 (0.0326) loss_seg: 0.0315 (0.0349) loss_lansim: 0.0686 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4110 data: 0.0024 max mem: 31671 Epoch: [35] [ 830/5278] eta: 3:00:29 lr: 7.476236600164174e-06 loss: 0.0315 (0.0326) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0686 (0.0702) loss_contra: 0.0000 (0.0028) time: 2.4078 data: 0.0024 max mem: 31671 Epoch: [35] [ 840/5278] eta: 3:00:06 lr: 7.473603967984484e-06 loss: 0.0315 (0.0326) loss_seg: 0.0337 (0.0349) loss_lansim: 0.0690 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4189 data: 0.0024 max mem: 31671 Epoch: [35] [ 850/5278] eta: 2:59:41 lr: 7.4709712327602984e-06 loss: 0.0306 (0.0326) loss_seg: 0.0333 (0.0349) loss_lansim: 0.0684 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4178 data: 0.0024 max mem: 31671 Epoch: [35] [ 860/5278] eta: 2:59:19 lr: 7.468338394447235e-06 loss: 0.0296 (0.0326) loss_seg: 0.0320 (0.0349) loss_lansim: 0.0685 (0.0701) loss_contra: 0.0000 (0.0029) time: 2.4252 data: 0.0024 max mem: 31671 Epoch: [35] [ 870/5278] eta: 2:58:55 lr: 7.465705453000883e-06 loss: 0.0306 (0.0325) loss_seg: 0.0326 (0.0348) loss_lansim: 0.0682 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4292 data: 0.0024 max mem: 31671 Epoch: [35] [ 880/5278] eta: 2:58:29 lr: 7.463072408376768e-06 loss: 0.0296 (0.0325) loss_seg: 0.0320 (0.0348) loss_lansim: 0.0684 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4285 data: 0.0024 max mem: 31671 Epoch: [35] [ 890/5278] eta: 2:58:04 lr: 7.460439260530408e-06 loss: 0.0304 (0.0326) loss_seg: 0.0324 (0.0349) loss_lansim: 0.0685 (0.0702) loss_contra: 0.0000 (0.0028) time: 2.4245 data: 0.0024 max mem: 31671 Epoch: [35] [ 900/5278] eta: 2:57:39 lr: 7.4578060094172705e-06 loss: 0.0325 (0.0326) loss_seg: 0.0346 (0.0349) loss_lansim: 0.0684 (0.0702) loss_contra: 0.0000 (0.0027) time: 2.4206 data: 0.0024 max mem: 31671 Epoch: [35] [ 910/5278] eta: 2:57:15 lr: 7.455172654992794e-06 loss: 0.0307 (0.0326) loss_seg: 0.0324 (0.0349) loss_lansim: 0.0684 (0.0702) loss_contra: 0.0000 (0.0027) time: 2.4263 data: 0.0024 max mem: 31671 Epoch: [35] [ 920/5278] eta: 2:56:49 lr: 7.4525391972123656e-06 loss: 0.0293 (0.0325) loss_seg: 0.0315 (0.0348) loss_lansim: 0.0685 (0.0702) loss_contra: 0.0000 (0.0027) time: 2.4334 data: 0.0024 max mem: 31671 Epoch: [35] [ 930/5278] eta: 2:56:26 lr: 7.44990563603135e-06 loss: 0.0293 (0.0326) loss_seg: 0.0315 (0.0348) loss_lansim: 0.0690 (0.0703) loss_contra: 0.0000 (0.0027) time: 2.4355 data: 0.0024 max mem: 31671 Epoch: [35] [ 940/5278] eta: 2:55:58 lr: 7.4472719714050705e-06 loss: 0.0287 (0.0325) loss_seg: 0.0305 (0.0347) loss_lansim: 0.0692 (0.0702) loss_contra: 0.0000 (0.0027) time: 2.4252 data: 0.0024 max mem: 31671 Epoch: [35] [ 950/5278] eta: 2:55:34 lr: 7.444638203288818e-06 loss: 0.0286 (0.0325) loss_seg: 0.0305 (0.0347) loss_lansim: 0.0692 (0.0702) loss_contra: 0.0000 (0.0026) time: 2.4264 data: 0.0024 max mem: 31671 Epoch: [35] [ 960/5278] eta: 2:55:09 lr: 7.442004331637833e-06 loss: 0.0275 (0.0324) loss_seg: 0.0300 (0.0347) loss_lansim: 0.0697 (0.0702) loss_contra: 0.0000 (0.0026) time: 2.4209 data: 0.0024 max mem: 31671 Epoch: [35] [ 970/5278] eta: 2:54:42 lr: 7.439370356407331e-06 loss: 0.0277 (0.0324) loss_seg: 0.0300 (0.0346) loss_lansim: 0.0698 (0.0703) loss_contra: 0.0000 (0.0031) time: 2.4150 data: 0.0024 max mem: 31671 Epoch: [35] [ 980/5278] eta: 2:54:21 lr: 7.436736277552489e-06 loss: 0.0280 (0.0324) loss_seg: 0.0300 (0.0346) loss_lansim: 0.0699 (0.0703) loss_contra: 0.0000 (0.0030) time: 2.4247 data: 0.0024 max mem: 31671 Epoch: [35] [ 990/5278] eta: 2:53:57 lr: 7.434102095028444e-06 loss: 0.0275 (0.0323) loss_seg: 0.0285 (0.0345) loss_lansim: 0.0697 (0.0703) loss_contra: 0.0000 (0.0030) time: 2.4259 data: 0.0024 max mem: 31671 Epoch: [35] [1000/5278] eta: 2:53:35 lr: 7.431467808790305e-06 loss: 0.0269 (0.0323) loss_seg: 0.0285 (0.0346) loss_lansim: 0.0701 (0.0703) loss_contra: 0.0000 (0.0030) time: 2.4352 data: 0.0024 max mem: 31671 Epoch: [35] [1010/5278] eta: 2:53:11 lr: 7.428833418793122e-06 loss: 0.0277 (0.0323) loss_seg: 0.0300 (0.0346) loss_lansim: 0.0697 (0.0703) loss_contra: 0.0000 (0.0030) time: 2.4331 data: 0.0024 max mem: 31671 Epoch: [35] [1020/5278] eta: 2:52:46 lr: 7.42619892499193e-06 loss: 0.0278 (0.0323) loss_seg: 0.0286 (0.0346) loss_lansim: 0.0693 (0.0702) loss_contra: 0.0000 (0.0029) time: 2.4350 data: 0.0024 max mem: 31671 Epoch: [35] [1030/5278] eta: 2:52:23 lr: 7.423564327341715e-06 loss: 0.0278 (0.0323) loss_seg: 0.0286 (0.0346) loss_lansim: 0.0686 (0.0702) loss_contra: 0.0000 (0.0029) time: 2.4363 data: 0.0024 max mem: 31671 Epoch: [35] [1040/5278] eta: 2:52:00 lr: 7.4209296257974415e-06 loss: 0.0278 (0.0323) loss_seg: 0.0300 (0.0346) loss_lansim: 0.0684 (0.0702) loss_contra: 0.0000 (0.0029) time: 2.4474 data: 0.0024 max mem: 31671 Epoch: [35] [1050/5278] eta: 2:51:35 lr: 7.418294820314008e-06 loss: 0.0280 (0.0323) loss_seg: 0.0306 (0.0346) loss_lansim: 0.0686 (0.0702) loss_contra: 0.0000 (0.0029) time: 2.4452 data: 0.0024 max mem: 31671 Epoch: [35] [1060/5278] eta: 2:51:08 lr: 7.4156599108463e-06 loss: 0.0282 (0.0323) loss_seg: 0.0305 (0.0346) loss_lansim: 0.0683 (0.0701) loss_contra: 0.0000 (0.0029) time: 2.4403 data: 0.0024 max mem: 31671 Epoch: [35] [1070/5278] eta: 2:50:45 lr: 7.4130248973491555e-06 loss: 0.0290 (0.0323) loss_seg: 0.0305 (0.0345) loss_lansim: 0.0684 (0.0702) loss_contra: 0.0000 (0.0029) time: 2.4497 data: 0.0023 max mem: 31671 Epoch: [35] [1080/5278] eta: 2:50:20 lr: 7.410389779777385e-06 loss: 0.0280 (0.0323) loss_seg: 0.0299 (0.0345) loss_lansim: 0.0670 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4393 data: 0.0023 max mem: 31671 Epoch: [35] [1090/5278] eta: 2:49:56 lr: 7.4077545580857445e-06 loss: 0.0287 (0.0323) loss_seg: 0.0301 (0.0346) loss_lansim: 0.0670 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4405 data: 0.0023 max mem: 31671 Epoch: [35] [1100/5278] eta: 2:49:36 lr: 7.405119232228963e-06 loss: 0.0295 (0.0323) loss_seg: 0.0305 (0.0346) loss_lansim: 0.0661 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4457 data: 0.0023 max mem: 31671 Epoch: [35] [1110/5278] eta: 2:49:14 lr: 7.4024838021617335e-06 loss: 0.0296 (0.0324) loss_seg: 0.0306 (0.0347) loss_lansim: 0.0657 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4510 data: 0.0023 max mem: 31671 Epoch: [35] [1120/5278] eta: 2:48:49 lr: 7.399848267838713e-06 loss: 0.0297 (0.0323) loss_seg: 0.0312 (0.0346) loss_lansim: 0.0669 (0.0701) loss_contra: 0.0000 (0.0028) time: 2.4528 data: 0.0023 max mem: 31671 Epoch: [35] [1130/5278] eta: 2:48:22 lr: 7.397212629214508e-06 loss: 0.0301 (0.0324) loss_seg: 0.0312 (0.0346) loss_lansim: 0.0676 (0.0701) loss_contra: 0.0000 (0.0027) time: 2.4437 data: 0.0023 max mem: 31671 Epoch: [35] [1140/5278] eta: 2:47:55 lr: 7.394576886243697e-06 loss: 0.0307 (0.0325) loss_seg: 0.0317 (0.0348) loss_lansim: 0.0683 (0.0701) loss_contra: 0.0000 (0.0027) time: 2.4294 data: 0.0023 max mem: 31671 Epoch: [35] [1150/5278] eta: 2:47:31 lr: 7.391941038880821e-06 loss: 0.0306 (0.0325) loss_seg: 0.0312 (0.0347) loss_lansim: 0.0683 (0.0701) loss_contra: 0.0000 (0.0027) time: 2.4350 data: 0.0023 max mem: 31671 Epoch: [35] [1160/5278] eta: 2:47:05 lr: 7.389305087080389e-06 loss: 0.0307 (0.0326) loss_seg: 0.0322 (0.0349) loss_lansim: 0.0683 (0.0701) loss_contra: 0.0000 (0.0027) time: 2.4358 data: 0.0023 max mem: 31671 Epoch: [35] [1170/5278] eta: 2:46:45 lr: 7.386669030796852e-06 loss: 0.0313 (0.0326) loss_seg: 0.0328 (0.0349) loss_lansim: 0.0685 (0.0702) loss_contra: 0.0000 (0.0027) time: 2.4437 data: 0.0023 max mem: 31671 Epoch: [35] [1180/5278] eta: 2:46:20 lr: 7.384032869984641e-06 loss: 0.0318 (0.0326) loss_seg: 0.0339 (0.0349) loss_lansim: 0.0683 (0.0701) loss_contra: 0.0000 (0.0026) time: 2.4451 data: 0.0023 max mem: 31671 Epoch: [35] [1190/5278] eta: 2:45:58 lr: 7.381396604598144e-06 loss: 0.0322 (0.0326) loss_seg: 0.0339 (0.0349) loss_lansim: 0.0688 (0.0701) loss_contra: 0.0000 (0.0026) time: 2.4501 data: 0.0023 max mem: 31671 Epoch: [35] [1200/5278] eta: 2:45:35 lr: 7.378760234591717e-06 loss: 0.0318 (0.0326) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0698 (0.0702) loss_contra: 0.0000 (0.0026) time: 2.4427 data: 0.0023 max mem: 31671 Epoch: [35] [1210/5278] eta: 2:45:11 lr: 7.376123759919659e-06 loss: 0.0313 (0.0325) loss_seg: 0.0332 (0.0348) loss_lansim: 0.0709 (0.0703) loss_contra: 0.0000 (0.0026) time: 2.4387 data: 0.0023 max mem: 31671 Epoch: [35] [1220/5278] eta: 2:44:44 lr: 7.373487180536251e-06 loss: 0.0303 (0.0325) loss_seg: 0.0329 (0.0348) loss_lansim: 0.0709 (0.0703) loss_contra: 0.0000 (0.0026) time: 2.4305 data: 0.0023 max mem: 31671 Epoch: [35] [1230/5278] eta: 2:44:20 lr: 7.370850496395727e-06 loss: 0.0303 (0.0325) loss_seg: 0.0328 (0.0348) loss_lansim: 0.0705 (0.0703) loss_contra: 0.0000 (0.0025) time: 2.4398 data: 0.0022 max mem: 31671 Epoch: [35] [1240/5278] eta: 2:43:58 lr: 7.368213707452286e-06 loss: 0.0303 (0.0325) loss_seg: 0.0328 (0.0348) loss_lansim: 0.0705 (0.0703) loss_contra: 0.0000 (0.0025) time: 2.4548 data: 0.0022 max mem: 31671 Epoch: [35] [1250/5278] eta: 2:43:33 lr: 7.365576813660091e-06 loss: 0.0303 (0.0326) loss_seg: 0.0328 (0.0349) loss_lansim: 0.0707 (0.0703) loss_contra: 0.0000 (0.0025) time: 2.4494 data: 0.0022 max mem: 31671 Epoch: [35] [1260/5278] eta: 2:43:09 lr: 7.362939814973254e-06 loss: 0.0291 (0.0325) loss_seg: 0.0307 (0.0348) loss_lansim: 0.0709 (0.0703) loss_contra: 0.0000 (0.0025) time: 2.4589 data: 0.0023 max mem: 31671 Epoch: [35] [1270/5278] eta: 2:42:45 lr: 7.360302711345858e-06 loss: 0.0285 (0.0325) loss_seg: 0.0302 (0.0348) loss_lansim: 0.0706 (0.0703) loss_contra: 0.0000 (0.0025) time: 2.4462 data: 0.0023 max mem: 31671 Epoch: [35] [1280/5278] eta: 2:42:20 lr: 7.357665502731952e-06 loss: 0.0276 (0.0325) loss_seg: 0.0294 (0.0347) loss_lansim: 0.0706 (0.0702) loss_contra: 0.0000 (0.0024) time: 2.4466 data: 0.0023 max mem: 31671 Epoch: [35] [1290/5278] eta: 2:41:56 lr: 7.355028189085544e-06 loss: 0.0272 (0.0326) loss_seg: 0.0292 (0.0348) loss_lansim: 0.0706 (0.0702) loss_contra: 0.0000 (0.0024) time: 2.4427 data: 0.0023 max mem: 31671 Epoch: [35] [1300/5278] eta: 2:41:31 lr: 7.352390770360592e-06 loss: 0.0271 (0.0325) loss_seg: 0.0287 (0.0348) loss_lansim: 0.0704 (0.0702) loss_contra: 0.0000 (0.0024) time: 2.4346 data: 0.0023 max mem: 31671 Epoch: [35] [1310/5278] eta: 2:41:08 lr: 7.349753246511029e-06 loss: 0.0263 (0.0325) loss_seg: 0.0272 (0.0348) loss_lansim: 0.0680 (0.0702) loss_contra: 0.0000 (0.0024) time: 2.4392 data: 0.0023 max mem: 31671 Epoch: [35] [1320/5278] eta: 2:40:45 lr: 7.347115617490745e-06 loss: 0.0276 (0.0325) loss_seg: 0.0287 (0.0347) loss_lansim: 0.0673 (0.0701) loss_contra: 0.0000 (0.0024) time: 2.4504 data: 0.0023 max mem: 31671 Epoch: [35] [1330/5278] eta: 2:40:19 lr: 7.3444778832535975e-06 loss: 0.0263 (0.0324) loss_seg: 0.0272 (0.0347) loss_lansim: 0.0678 (0.0701) loss_contra: 0.0000 (0.0024) time: 2.4440 data: 0.0023 max mem: 31671 Epoch: [35] [1340/5278] eta: 2:39:53 lr: 7.341840043753387e-06 loss: 0.0263 (0.0324) loss_seg: 0.0277 (0.0347) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0024) time: 2.4328 data: 0.0023 max mem: 31671 Epoch: [35] [1350/5278] eta: 2:39:29 lr: 7.339202098943894e-06 loss: 0.0271 (0.0324) loss_seg: 0.0287 (0.0347) loss_lansim: 0.0679 (0.0702) loss_contra: 0.0000 (0.0024) time: 2.4379 data: 0.0023 max mem: 31671 Epoch: [35] [1360/5278] eta: 2:39:05 lr: 7.336564048778853e-06 loss: 0.0268 (0.0324) loss_seg: 0.0278 (0.0347) loss_lansim: 0.0680 (0.0702) loss_contra: 0.0000 (0.0023) time: 2.4334 data: 0.0023 max mem: 31671 Epoch: [35] [1370/5278] eta: 2:38:39 lr: 7.333925893211967e-06 loss: 0.0271 (0.0324) loss_seg: 0.0287 (0.0347) loss_lansim: 0.0685 (0.0702) loss_contra: 0.0000 (0.0023) time: 2.4283 data: 0.0023 max mem: 31671 Epoch: [35] [1380/5278] eta: 2:38:14 lr: 7.33128763219688e-06 loss: 0.0283 (0.0324) loss_seg: 0.0298 (0.0347) loss_lansim: 0.0687 (0.0702) loss_contra: 0.0000 (0.0023) time: 2.4287 data: 0.0024 max mem: 31671 Epoch: [35] [1390/5278] eta: 2:37:51 lr: 7.328649265687218e-06 loss: 0.0278 (0.0324) loss_seg: 0.0295 (0.0347) loss_lansim: 0.0686 (0.0702) loss_contra: 0.0000 (0.0023) time: 2.4304 data: 0.0024 max mem: 31671 Epoch: [35] [1400/5278] eta: 2:37:28 lr: 7.326010793636561e-06 loss: 0.0283 (0.0324) loss_seg: 0.0296 (0.0347) loss_lansim: 0.0684 (0.0702) loss_contra: 0.0000 (0.0023) time: 2.4400 data: 0.0024 max mem: 31671 Epoch: [35] [1410/5278] eta: 2:37:06 lr: 7.323372215998453e-06 loss: 0.0290 (0.0324) loss_seg: 0.0298 (0.0347) loss_lansim: 0.0687 (0.0701) loss_contra: 0.0000 (0.0023) time: 2.4422 data: 0.0024 max mem: 31671 Epoch: [35] [1420/5278] eta: 2:36:54 lr: 7.320733532726387e-06 loss: 0.0290 (0.0324) loss_seg: 0.0298 (0.0347) loss_lansim: 0.0692 (0.0701) loss_contra: 0.0000 (0.0022) time: 2.4845 data: 0.0025 max mem: 31671 Epoch: [35] [1430/5278] eta: 2:36:44 lr: 7.318094743773829e-06 loss: 0.0291 (0.0324) loss_seg: 0.0318 (0.0347) loss_lansim: 0.0695 (0.0701) loss_contra: 0.0000 (0.0022) time: 2.5426 data: 0.0025 max mem: 31671 Epoch: [35] [1440/5278] eta: 2:36:27 lr: 7.3154558490942035e-06 loss: 0.0290 (0.0324) loss_seg: 0.0318 (0.0347) loss_lansim: 0.0692 (0.0701) loss_contra: 0.0000 (0.0022) time: 2.5791 data: 0.0025 max mem: 31671 Epoch: [35] [1450/5278] eta: 2:36:09 lr: 7.3128168486409e-06 loss: 0.0291 (0.0325) loss_seg: 0.0318 (0.0348) loss_lansim: 0.0702 (0.0702) loss_contra: 0.0000 (0.0022) time: 2.5998 data: 0.0026 max mem: 31671 Epoch: [35] [1460/5278] eta: 2:35:49 lr: 7.310177742367251e-06 loss: 0.0290 (0.0325) loss_seg: 0.0309 (0.0348) loss_lansim: 0.0696 (0.0702) loss_contra: 0.0000 (0.0022) time: 2.6207 data: 0.0026 max mem: 31671 Epoch: [35] [1470/5278] eta: 2:35:31 lr: 7.307538530226568e-06 loss: 0.0291 (0.0325) loss_seg: 0.0318 (0.0348) loss_lansim: 0.0692 (0.0701) loss_contra: 0.0000 (0.0022) time: 2.6527 data: 0.0026 max mem: 31671 Epoch: [35] [1480/5278] eta: 2:35:16 lr: 7.304899212172118e-06 loss: 0.0294 (0.0325) loss_seg: 0.0318 (0.0348) loss_lansim: 0.0688 (0.0701) loss_contra: 0.0000 (0.0022) time: 2.6911 data: 0.0027 max mem: 31671 Epoch: [35] [1490/5278] eta: 2:34:59 lr: 7.302259788157129e-06 loss: 0.0291 (0.0325) loss_seg: 0.0315 (0.0348) loss_lansim: 0.0690 (0.0701) loss_contra: 0.0000 (0.0022) time: 2.7201 data: 0.0027 max mem: 31671 Epoch: [35] [1500/5278] eta: 2:34:42 lr: 7.29962025813479e-06 loss: 0.0287 (0.0325) loss_seg: 0.0312 (0.0348) loss_lansim: 0.0693 (0.0701) loss_contra: 0.0000 (0.0022) time: 2.7431 data: 0.0027 max mem: 31671 Epoch: [35] [1510/5278] eta: 2:34:22 lr: 7.29698062205824e-06 loss: 0.0296 (0.0325) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0689 (0.0701) loss_contra: 0.0000 (0.0021) time: 2.7562 data: 0.0027 max mem: 31671 Epoch: [35] [1520/5278] eta: 2:34:04 lr: 7.2943408798805944e-06 loss: 0.0287 (0.0325) loss_seg: 0.0312 (0.0348) loss_lansim: 0.0688 (0.0701) loss_contra: 0.0000 (0.0021) time: 2.7392 data: 0.0027 max mem: 31671 Epoch: [35] [1530/5278] eta: 2:33:48 lr: 7.2917010315549176e-06 loss: 0.0285 (0.0325) loss_seg: 0.0310 (0.0348) loss_lansim: 0.0682 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.7216 data: 0.0026 max mem: 31671 Epoch: [35] [1540/5278] eta: 2:33:34 lr: 7.2890610770342485e-06 loss: 0.0302 (0.0326) loss_seg: 0.0322 (0.0349) loss_lansim: 0.0686 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.7383 data: 0.0026 max mem: 31671 Epoch: [35] [1550/5278] eta: 2:33:23 lr: 7.286421016271563e-06 loss: 0.0302 (0.0326) loss_seg: 0.0315 (0.0349) loss_lansim: 0.0679 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.7763 data: 0.0027 max mem: 31671 Epoch: [35] [1560/5278] eta: 2:33:10 lr: 7.283780849219817e-06 loss: 0.0308 (0.0326) loss_seg: 0.0339 (0.0349) loss_lansim: 0.0683 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8085 data: 0.0026 max mem: 31671 Epoch: [35] [1570/5278] eta: 2:32:52 lr: 7.2811405758319184e-06 loss: 0.0307 (0.0326) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0686 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8144 data: 0.0026 max mem: 31671 Epoch: [35] [1580/5278] eta: 2:32:33 lr: 7.278500196060746e-06 loss: 0.0307 (0.0326) loss_seg: 0.0339 (0.0349) loss_lansim: 0.0686 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8038 data: 0.0026 max mem: 31671 Epoch: [35] [1590/5278] eta: 2:32:16 lr: 7.275859709859116e-06 loss: 0.0317 (0.0326) loss_seg: 0.0341 (0.0349) loss_lansim: 0.0683 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8090 data: 0.0026 max mem: 31671 Epoch: [35] [1600/5278] eta: 2:31:55 lr: 7.273219117179825e-06 loss: 0.0318 (0.0326) loss_seg: 0.0348 (0.0349) loss_lansim: 0.0679 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8033 data: 0.0026 max mem: 31671 Epoch: [35] [1610/5278] eta: 2:31:35 lr: 7.270578417975624e-06 loss: 0.0317 (0.0327) loss_seg: 0.0348 (0.0350) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8056 data: 0.0026 max mem: 31671 Epoch: [35] [1620/5278] eta: 2:31:17 lr: 7.267937612199227e-06 loss: 0.0318 (0.0327) loss_seg: 0.0349 (0.0350) loss_lansim: 0.0677 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8097 data: 0.0026 max mem: 31671 Epoch: [35] [1630/5278] eta: 2:31:04 lr: 7.2652966998032936e-06 loss: 0.0320 (0.0327) loss_seg: 0.0351 (0.0350) loss_lansim: 0.0679 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8307 data: 0.0026 max mem: 31671 Epoch: [35] [1640/5278] eta: 2:30:45 lr: 7.2626556807404585e-06 loss: 0.0317 (0.0327) loss_seg: 0.0346 (0.0350) loss_lansim: 0.0677 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.8168 data: 0.0026 max mem: 31671 Epoch: [35] [1650/5278] eta: 2:30:25 lr: 7.260014554963313e-06 loss: 0.0316 (0.0328) loss_seg: 0.0346 (0.0351) loss_lansim: 0.0677 (0.0700) loss_contra: 0.0000 (0.0021) time: 2.7826 data: 0.0026 max mem: 31671 Epoch: [35] [1660/5278] eta: 2:30:04 lr: 7.25737332242441e-06 loss: 0.0317 (0.0329) loss_seg: 0.0346 (0.0351) loss_lansim: 0.0669 (0.0699) loss_contra: 0.0000 (0.0021) time: 2.7521 data: 0.0026 max mem: 31671 Epoch: [35] [1670/5278] eta: 2:29:45 lr: 7.254731983076249e-06 loss: 0.0317 (0.0329) loss_seg: 0.0346 (0.0352) loss_lansim: 0.0674 (0.0699) loss_contra: 0.0000 (0.0021) time: 2.7527 data: 0.0026 max mem: 31671 Epoch: [35] [1680/5278] eta: 2:29:28 lr: 7.252090536871303e-06 loss: 0.0315 (0.0328) loss_seg: 0.0336 (0.0351) loss_lansim: 0.0674 (0.0699) loss_contra: 0.0000 (0.0021) time: 2.7692 data: 0.0027 max mem: 31671 Epoch: [35] [1690/5278] eta: 2:29:07 lr: 7.249448983762002e-06 loss: 0.0307 (0.0328) loss_seg: 0.0332 (0.0351) loss_lansim: 0.0674 (0.0699) loss_contra: 0.0000 (0.0021) time: 2.7555 data: 0.0026 max mem: 31671 Epoch: [35] [1700/5278] eta: 2:28:47 lr: 7.246807323700737e-06 loss: 0.0305 (0.0328) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0667 (0.0699) loss_contra: 0.0000 (0.0021) time: 2.7600 data: 0.0026 max mem: 31671 Epoch: [35] [1710/5278] eta: 2:28:26 lr: 7.244165556639847e-06 loss: 0.0305 (0.0328) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0661 (0.0698) loss_contra: 0.0000 (0.0021) time: 2.7639 data: 0.0026 max mem: 31671 Epoch: [35] [1720/5278] eta: 2:28:07 lr: 7.241523682531642e-06 loss: 0.0305 (0.0328) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0662 (0.0698) loss_contra: 0.0000 (0.0021) time: 2.7636 data: 0.0026 max mem: 31671 Epoch: [35] [1730/5278] eta: 2:27:48 lr: 7.23888170132839e-06 loss: 0.0299 (0.0328) loss_seg: 0.0314 (0.0351) loss_lansim: 0.0661 (0.0698) loss_contra: 0.0000 (0.0021) time: 2.7407 data: 0.0026 max mem: 31671 Epoch: [35] [1740/5278] eta: 2:27:26 lr: 7.236239612982316e-06 loss: 0.0284 (0.0328) loss_seg: 0.0308 (0.0351) loss_lansim: 0.0669 (0.0698) loss_contra: 0.0000 (0.0021) time: 2.7313 data: 0.0026 max mem: 31671 Epoch: [35] [1750/5278] eta: 2:27:05 lr: 7.23359741744561e-06 loss: 0.0283 (0.0328) loss_seg: 0.0308 (0.0351) loss_lansim: 0.0676 (0.0699) loss_contra: 0.0000 (0.0021) time: 2.7299 data: 0.0026 max mem: 31671 Epoch: [35] [1760/5278] eta: 2:26:46 lr: 7.230955114670406e-06 loss: 0.0283 (0.0329) loss_seg: 0.0309 (0.0352) loss_lansim: 0.0681 (0.0699) loss_contra: 0.0000 (0.0020) time: 2.7429 data: 0.0026 max mem: 31671 Epoch: [35] [1770/5278] eta: 2:26:25 lr: 7.228312704608811e-06 loss: 0.0283 (0.0329) loss_seg: 0.0308 (0.0352) loss_lansim: 0.0676 (0.0699) loss_contra: 0.0000 (0.0020) time: 2.7400 data: 0.0026 max mem: 31671 Epoch: [35] [1780/5278] eta: 2:26:05 lr: 7.2256701872128895e-06 loss: 0.0283 (0.0328) loss_seg: 0.0309 (0.0352) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0021) time: 2.7286 data: 0.0026 max mem: 31671 Epoch: [35] [1790/5278] eta: 2:25:43 lr: 7.2230275624346685e-06 loss: 0.0284 (0.0328) loss_seg: 0.0311 (0.0351) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7260 data: 0.0026 max mem: 31671 Epoch: [35] [1800/5278] eta: 2:25:21 lr: 7.220384830226115e-06 loss: 0.0291 (0.0328) loss_seg: 0.0318 (0.0352) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7201 data: 0.0027 max mem: 31671 Epoch: [35] [1810/5278] eta: 2:25:00 lr: 7.2177419905391776e-06 loss: 0.0291 (0.0329) loss_seg: 0.0315 (0.0352) loss_lansim: 0.0683 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7238 data: 0.0027 max mem: 31671 Epoch: [35] [1820/5278] eta: 2:24:40 lr: 7.215099043325752e-06 loss: 0.0300 (0.0329) loss_seg: 0.0324 (0.0352) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7243 data: 0.0028 max mem: 31671 Epoch: [35] [1830/5278] eta: 2:24:17 lr: 7.212455988537703e-06 loss: 0.0309 (0.0329) loss_seg: 0.0336 (0.0352) loss_lansim: 0.0689 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7097 data: 0.0028 max mem: 31671 Epoch: [35] [1840/5278] eta: 2:23:53 lr: 7.2098128261268344e-06 loss: 0.0322 (0.0329) loss_seg: 0.0338 (0.0352) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.6973 data: 0.0028 max mem: 31671 Epoch: [35] [1850/5278] eta: 2:23:37 lr: 7.207169556044928e-06 loss: 0.0317 (0.0329) loss_seg: 0.0337 (0.0352) loss_lansim: 0.0680 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7264 data: 0.0028 max mem: 31671 Epoch: [35] [1860/5278] eta: 2:23:15 lr: 7.204526178243716e-06 loss: 0.0310 (0.0329) loss_seg: 0.0336 (0.0352) loss_lansim: 0.0680 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7177 data: 0.0028 max mem: 31671 Epoch: [35] [1870/5278] eta: 2:22:55 lr: 7.201882692674898e-06 loss: 0.0307 (0.0329) loss_seg: 0.0334 (0.0352) loss_lansim: 0.0680 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7223 data: 0.0027 max mem: 31671 Epoch: [35] [1880/5278] eta: 2:22:32 lr: 7.199239099290113e-06 loss: 0.0307 (0.0329) loss_seg: 0.0334 (0.0352) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7112 data: 0.0027 max mem: 31671 Epoch: [35] [1890/5278] eta: 2:22:10 lr: 7.1965953980409755e-06 loss: 0.0306 (0.0328) loss_seg: 0.0334 (0.0352) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7178 data: 0.0027 max mem: 31671 Epoch: [35] [1900/5278] eta: 2:21:48 lr: 7.193951588879055e-06 loss: 0.0301 (0.0328) loss_seg: 0.0323 (0.0351) loss_lansim: 0.0695 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7234 data: 0.0027 max mem: 31671 Epoch: [35] [1910/5278] eta: 2:21:29 lr: 7.191307671755884e-06 loss: 0.0296 (0.0328) loss_seg: 0.0323 (0.0352) loss_lansim: 0.0697 (0.0698) loss_contra: 0.0000 (0.0020) time: 2.7344 data: 0.0027 max mem: 31671 Epoch: [35] [1920/5278] eta: 2:21:16 lr: 7.188663646622935e-06 loss: 0.0293 (0.0328) loss_seg: 0.0314 (0.0351) loss_lansim: 0.0696 (0.0699) loss_contra: 0.0000 (0.0020) time: 2.7785 data: 0.0027 max mem: 31671 Epoch: [35] [1930/5278] eta: 2:20:58 lr: 7.1860195134316576e-06 loss: 0.0287 (0.0328) loss_seg: 0.0310 (0.0352) loss_lansim: 0.0691 (0.0699) loss_contra: 0.0000 (0.0020) time: 2.8086 data: 0.0027 max mem: 31671 Epoch: [35] [1940/5278] eta: 2:20:41 lr: 7.183375272133454e-06 loss: 0.0289 (0.0328) loss_seg: 0.0314 (0.0351) loss_lansim: 0.0697 (0.0699) loss_contra: 0.0000 (0.0020) time: 2.8543 data: 0.0027 max mem: 31671 Epoch: [35] [1950/5278] eta: 2:20:25 lr: 7.180730922679682e-06 loss: 0.0294 (0.0328) loss_seg: 0.0317 (0.0351) loss_lansim: 0.0700 (0.0699) loss_contra: 0.0000 (0.0020) time: 2.8616 data: 0.0027 max mem: 31671 Epoch: [35] [1960/5278] eta: 2:20:02 lr: 7.178086465021669e-06 loss: 0.0287 (0.0328) loss_seg: 0.0303 (0.0351) loss_lansim: 0.0707 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.8613 data: 0.0027 max mem: 31671 Epoch: [35] [1970/5278] eta: 2:19:40 lr: 7.175441899110677e-06 loss: 0.0285 (0.0328) loss_seg: 0.0303 (0.0351) loss_lansim: 0.0702 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.8549 data: 0.0028 max mem: 31671 Epoch: [35] [1980/5278] eta: 2:19:16 lr: 7.172797224897947e-06 loss: 0.0287 (0.0328) loss_seg: 0.0307 (0.0351) loss_lansim: 0.0700 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.8553 data: 0.0028 max mem: 31671 Epoch: [35] [1990/5278] eta: 2:18:54 lr: 7.170152442334671e-06 loss: 0.0293 (0.0328) loss_seg: 0.0307 (0.0351) loss_lansim: 0.0700 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.8568 data: 0.0028 max mem: 31671 Epoch: [35] [2000/5278] eta: 2:18:33 lr: 7.167507551372006e-06 loss: 0.0299 (0.0328) loss_seg: 0.0321 (0.0351) loss_lansim: 0.0707 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.8608 data: 0.0028 max mem: 31671 Epoch: [35] [2010/5278] eta: 2:18:11 lr: 7.164862551961049e-06 loss: 0.0294 (0.0328) loss_seg: 0.0307 (0.0351) loss_lansim: 0.0707 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.8491 data: 0.0028 max mem: 31671 Epoch: [35] [2020/5278] eta: 2:17:46 lr: 7.162217444052871e-06 loss: 0.0293 (0.0328) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0702 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7875 data: 0.0027 max mem: 31671 Epoch: [35] [2030/5278] eta: 2:17:23 lr: 7.1595722275984976e-06 loss: 0.0288 (0.0327) loss_seg: 0.0303 (0.0350) loss_lansim: 0.0702 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7632 data: 0.0027 max mem: 31671 Epoch: [35] [2040/5278] eta: 2:17:02 lr: 7.156926902548915e-06 loss: 0.0288 (0.0328) loss_seg: 0.0311 (0.0350) loss_lansim: 0.0706 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7426 data: 0.0027 max mem: 31671 Epoch: [35] [2050/5278] eta: 2:16:41 lr: 7.154281468855052e-06 loss: 0.0293 (0.0328) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0705 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7192 data: 0.0026 max mem: 31671 Epoch: [35] [2060/5278] eta: 2:16:19 lr: 7.151635926467811e-06 loss: 0.0294 (0.0328) loss_seg: 0.0317 (0.0351) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7244 data: 0.0026 max mem: 31671 Epoch: [35] [2070/5278] eta: 2:15:55 lr: 7.148990275338047e-06 loss: 0.0293 (0.0328) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0700 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7179 data: 0.0025 max mem: 31671 Epoch: [35] [2080/5278] eta: 2:15:30 lr: 7.146344515416578e-06 loss: 0.0293 (0.0328) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0690 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7093 data: 0.0025 max mem: 31671 Epoch: [35] [2090/5278] eta: 2:15:08 lr: 7.143698646654164e-06 loss: 0.0292 (0.0328) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0700 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7156 data: 0.0025 max mem: 31671 Epoch: [35] [2100/5278] eta: 2:14:44 lr: 7.141052669001537e-06 loss: 0.0289 (0.0328) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0690 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7024 data: 0.0025 max mem: 31671 Epoch: [35] [2110/5278] eta: 2:14:21 lr: 7.138406582409381e-06 loss: 0.0293 (0.0328) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7011 data: 0.0025 max mem: 31671 Epoch: [35] [2120/5278] eta: 2:13:59 lr: 7.135760386828345e-06 loss: 0.0293 (0.0328) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7139 data: 0.0025 max mem: 31671 Epoch: [35] [2130/5278] eta: 2:13:35 lr: 7.133114082209017e-06 loss: 0.0298 (0.0328) loss_seg: 0.0317 (0.0351) loss_lansim: 0.0683 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7121 data: 0.0025 max mem: 31671 Epoch: [35] [2140/5278] eta: 2:13:14 lr: 7.130467668501958e-06 loss: 0.0293 (0.0327) loss_seg: 0.0316 (0.0350) loss_lansim: 0.0683 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7139 data: 0.0025 max mem: 31671 Epoch: [35] [2150/5278] eta: 2:12:52 lr: 7.127821145657683e-06 loss: 0.0279 (0.0327) loss_seg: 0.0304 (0.0350) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7138 data: 0.0025 max mem: 31671 Epoch: [35] [2160/5278] eta: 2:12:32 lr: 7.12517451362667e-06 loss: 0.0275 (0.0327) loss_seg: 0.0300 (0.0350) loss_lansim: 0.0683 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7315 data: 0.0025 max mem: 31671 Epoch: [35] [2170/5278] eta: 2:12:08 lr: 7.122527772359333e-06 loss: 0.0292 (0.0327) loss_seg: 0.0307 (0.0350) loss_lansim: 0.0683 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7322 data: 0.0025 max mem: 31671 Epoch: [35] [2180/5278] eta: 2:11:43 lr: 7.119880921806063e-06 loss: 0.0298 (0.0327) loss_seg: 0.0308 (0.0350) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7374 data: 0.0025 max mem: 31671 Epoch: [35] [2190/5278] eta: 2:11:20 lr: 7.1172339619172055e-06 loss: 0.0299 (0.0327) loss_seg: 0.0308 (0.0350) loss_lansim: 0.0675 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7301 data: 0.0025 max mem: 31671 Epoch: [35] [2200/5278] eta: 2:10:55 lr: 7.114586892643055e-06 loss: 0.0299 (0.0327) loss_seg: 0.0307 (0.0350) loss_lansim: 0.0680 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.7275 data: 0.0025 max mem: 31671 Epoch: [35] [2210/5278] eta: 2:10:30 lr: 7.111939713933875e-06 loss: 0.0294 (0.0327) loss_seg: 0.0305 (0.0350) loss_lansim: 0.0682 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.7098 data: 0.0025 max mem: 31671 Epoch: [35] [2220/5278] eta: 2:10:04 lr: 7.109292425739866e-06 loss: 0.0309 (0.0327) loss_seg: 0.0322 (0.0350) loss_lansim: 0.0682 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.6946 data: 0.0026 max mem: 31671 Epoch: [35] [2230/5278] eta: 2:09:38 lr: 7.1066450280112055e-06 loss: 0.0309 (0.0327) loss_seg: 0.0322 (0.0350) loss_lansim: 0.0689 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.6731 data: 0.0026 max mem: 31671 Epoch: [35] [2240/5278] eta: 2:09:12 lr: 7.103997520698015e-06 loss: 0.0310 (0.0327) loss_seg: 0.0322 (0.0350) loss_lansim: 0.0689 (0.0699) loss_contra: 0.0000 (0.0018) time: 2.6429 data: 0.0026 max mem: 31671 Epoch: [35] [2250/5278] eta: 2:08:46 lr: 7.101349903750387e-06 loss: 0.0312 (0.0327) loss_seg: 0.0339 (0.0350) loss_lansim: 0.0689 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.6122 data: 0.0026 max mem: 31671 Epoch: [35] [2260/5278] eta: 2:08:20 lr: 7.0987021771183475e-06 loss: 0.0314 (0.0327) loss_seg: 0.0343 (0.0350) loss_lansim: 0.0690 (0.0699) loss_contra: 0.0000 (0.0018) time: 2.5736 data: 0.0026 max mem: 31671 Epoch: [35] [2270/5278] eta: 2:07:53 lr: 7.096054340751898e-06 loss: 0.0312 (0.0327) loss_seg: 0.0343 (0.0350) loss_lansim: 0.0691 (0.0699) loss_contra: 0.0000 (0.0018) time: 2.5498 data: 0.0026 max mem: 31671 Epoch: [35] [2280/5278] eta: 2:07:26 lr: 7.09340639460099e-06 loss: 0.0311 (0.0327) loss_seg: 0.0339 (0.0350) loss_lansim: 0.0696 (0.0699) loss_contra: 0.0000 (0.0018) time: 2.5332 data: 0.0026 max mem: 31671 Epoch: [35] [2290/5278] eta: 2:07:02 lr: 7.090758338615538e-06 loss: 0.0311 (0.0327) loss_seg: 0.0341 (0.0350) loss_lansim: 0.0696 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.5252 data: 0.0027 max mem: 31671 Epoch: [35] [2300/5278] eta: 2:06:36 lr: 7.0881101727453975e-06 loss: 0.0310 (0.0327) loss_seg: 0.0338 (0.0350) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.5227 data: 0.0027 max mem: 31671 Epoch: [35] [2310/5278] eta: 2:06:10 lr: 7.085461896940393e-06 loss: 0.0310 (0.0326) loss_seg: 0.0338 (0.0350) loss_lansim: 0.0699 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5200 data: 0.0026 max mem: 31671 Epoch: [35] [2320/5278] eta: 2:05:44 lr: 7.082813511150303e-06 loss: 0.0296 (0.0326) loss_seg: 0.0319 (0.0350) loss_lansim: 0.0699 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5102 data: 0.0026 max mem: 31671 Epoch: [35] [2330/5278] eta: 2:05:18 lr: 7.080165015324868e-06 loss: 0.0292 (0.0326) loss_seg: 0.0312 (0.0350) loss_lansim: 0.0697 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5146 data: 0.0026 max mem: 31671 Epoch: [35] [2340/5278] eta: 2:04:53 lr: 7.077516409413763e-06 loss: 0.0292 (0.0326) loss_seg: 0.0319 (0.0349) loss_lansim: 0.0694 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5227 data: 0.0025 max mem: 31671 Epoch: [35] [2350/5278] eta: 2:04:28 lr: 7.074867693366642e-06 loss: 0.0280 (0.0326) loss_seg: 0.0307 (0.0349) loss_lansim: 0.0694 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [35] [2360/5278] eta: 2:04:03 lr: 7.072218867133107e-06 loss: 0.0276 (0.0326) loss_seg: 0.0302 (0.0350) loss_lansim: 0.0694 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [35] [2370/5278] eta: 2:03:37 lr: 7.069569930662721e-06 loss: 0.0277 (0.0327) loss_seg: 0.0303 (0.0350) loss_lansim: 0.0694 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [35] [2380/5278] eta: 2:03:09 lr: 7.066920883904986e-06 loss: 0.0280 (0.0327) loss_seg: 0.0305 (0.0350) loss_lansim: 0.0685 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5379 data: 0.0025 max mem: 31671 Epoch: [35] [2390/5278] eta: 2:02:43 lr: 7.064271726809378e-06 loss: 0.0277 (0.0327) loss_seg: 0.0302 (0.0350) loss_lansim: 0.0690 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5240 data: 0.0025 max mem: 31671 Epoch: [35] [2400/5278] eta: 2:02:16 lr: 7.0616224593253205e-06 loss: 0.0285 (0.0327) loss_seg: 0.0308 (0.0350) loss_lansim: 0.0685 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5074 data: 0.0025 max mem: 31671 Epoch: [35] [2410/5278] eta: 2:01:50 lr: 7.058973081402202e-06 loss: 0.0282 (0.0326) loss_seg: 0.0305 (0.0350) loss_lansim: 0.0674 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.5016 data: 0.0024 max mem: 31671 Epoch: [35] [2420/5278] eta: 2:01:23 lr: 7.056323592989347e-06 loss: 0.0282 (0.0326) loss_seg: 0.0303 (0.0349) loss_lansim: 0.0680 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4995 data: 0.0024 max mem: 31671 Epoch: [35] [2430/5278] eta: 2:00:56 lr: 7.053673994036054e-06 loss: 0.0285 (0.0326) loss_seg: 0.0305 (0.0349) loss_lansim: 0.0684 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4882 data: 0.0024 max mem: 31671 Epoch: [35] [2440/5278] eta: 2:00:29 lr: 7.051024284491571e-06 loss: 0.0282 (0.0326) loss_seg: 0.0304 (0.0349) loss_lansim: 0.0690 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4717 data: 0.0024 max mem: 31671 Epoch: [35] [2450/5278] eta: 2:00:01 lr: 7.048374464305102e-06 loss: 0.0282 (0.0326) loss_seg: 0.0305 (0.0349) loss_lansim: 0.0685 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4488 data: 0.0024 max mem: 31671 Epoch: [35] [2460/5278] eta: 1:59:34 lr: 7.045724533425809e-06 loss: 0.0286 (0.0326) loss_seg: 0.0308 (0.0349) loss_lansim: 0.0685 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4326 data: 0.0023 max mem: 31671 Epoch: [35] [2470/5278] eta: 1:59:08 lr: 7.043074491802797e-06 loss: 0.0282 (0.0326) loss_seg: 0.0305 (0.0349) loss_lansim: 0.0683 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4349 data: 0.0023 max mem: 31671 Epoch: [35] [2480/5278] eta: 1:58:41 lr: 7.040424339385141e-06 loss: 0.0278 (0.0325) loss_seg: 0.0304 (0.0348) loss_lansim: 0.0698 (0.0699) loss_contra: 0.0000 (0.0018) time: 2.4350 data: 0.0023 max mem: 31671 Epoch: [35] [2490/5278] eta: 1:58:14 lr: 7.037774076121863e-06 loss: 0.0278 (0.0325) loss_seg: 0.0302 (0.0348) loss_lansim: 0.0698 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4262 data: 0.0023 max mem: 31671 Epoch: [35] [2500/5278] eta: 1:57:49 lr: 7.0351237019619525e-06 loss: 0.0272 (0.0325) loss_seg: 0.0296 (0.0348) loss_lansim: 0.0705 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4398 data: 0.0023 max mem: 31671 Epoch: [35] [2510/5278] eta: 1:57:23 lr: 7.032473216854332e-06 loss: 0.0278 (0.0325) loss_seg: 0.0299 (0.0348) loss_lansim: 0.0709 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4403 data: 0.0023 max mem: 31671 Epoch: [35] [2520/5278] eta: 1:56:57 lr: 7.029822620747897e-06 loss: 0.0278 (0.0325) loss_seg: 0.0303 (0.0348) loss_lansim: 0.0709 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4473 data: 0.0023 max mem: 31671 Epoch: [35] [2530/5278] eta: 1:56:29 lr: 7.027171913591494e-06 loss: 0.0278 (0.0325) loss_seg: 0.0299 (0.0348) loss_lansim: 0.0705 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4435 data: 0.0023 max mem: 31671 Epoch: [35] [2540/5278] eta: 1:56:03 lr: 7.024521095333926e-06 loss: 0.0278 (0.0325) loss_seg: 0.0299 (0.0348) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4484 data: 0.0023 max mem: 31671 Epoch: [35] [2550/5278] eta: 1:55:37 lr: 7.021870165923938e-06 loss: 0.0278 (0.0325) loss_seg: 0.0299 (0.0348) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4526 data: 0.0023 max mem: 31671 Epoch: [35] [2560/5278] eta: 1:55:10 lr: 7.019219125310249e-06 loss: 0.0280 (0.0325) loss_seg: 0.0303 (0.0348) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4581 data: 0.0023 max mem: 31671 Epoch: [35] [2570/5278] eta: 1:54:44 lr: 7.016567973441519e-06 loss: 0.0280 (0.0325) loss_seg: 0.0303 (0.0348) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4500 data: 0.0023 max mem: 31671 Epoch: [35] [2580/5278] eta: 1:54:17 lr: 7.0139167102663755e-06 loss: 0.0287 (0.0325) loss_seg: 0.0307 (0.0348) loss_lansim: 0.0684 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4501 data: 0.0023 max mem: 31671 Epoch: [35] [2590/5278] eta: 1:53:51 lr: 7.011265335733382e-06 loss: 0.0291 (0.0325) loss_seg: 0.0316 (0.0348) loss_lansim: 0.0684 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4542 data: 0.0023 max mem: 31671 Epoch: [35] [2600/5278] eta: 1:53:25 lr: 7.008613849791071e-06 loss: 0.0296 (0.0325) loss_seg: 0.0320 (0.0348) loss_lansim: 0.0682 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4489 data: 0.0023 max mem: 31671 Epoch: [35] [2610/5278] eta: 1:52:58 lr: 7.005962252387928e-06 loss: 0.0290 (0.0325) loss_seg: 0.0316 (0.0348) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4397 data: 0.0023 max mem: 31671 Epoch: [35] [2620/5278] eta: 1:52:31 lr: 7.0033105434723955e-06 loss: 0.0295 (0.0325) loss_seg: 0.0320 (0.0348) loss_lansim: 0.0678 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4312 data: 0.0023 max mem: 31671 Epoch: [35] [2630/5278] eta: 1:52:03 lr: 7.0006587229928545e-06 loss: 0.0307 (0.0325) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4281 data: 0.0023 max mem: 31671 Epoch: [35] [2640/5278] eta: 1:51:37 lr: 6.9980067908976584e-06 loss: 0.0307 (0.0325) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4230 data: 0.0023 max mem: 31671 Epoch: [35] [2650/5278] eta: 1:51:10 lr: 6.995354747135106e-06 loss: 0.0307 (0.0325) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0689 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4224 data: 0.0023 max mem: 31671 Epoch: [35] [2660/5278] eta: 1:50:44 lr: 6.99270259165346e-06 loss: 0.0307 (0.0326) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0690 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4201 data: 0.0023 max mem: 31671 Epoch: [35] [2670/5278] eta: 1:50:17 lr: 6.990050324400919e-06 loss: 0.0307 (0.0326) loss_seg: 0.0324 (0.0349) loss_lansim: 0.0690 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4185 data: 0.0023 max mem: 31671 Epoch: [35] [2680/5278] eta: 1:49:51 lr: 6.987397945325652e-06 loss: 0.0298 (0.0326) loss_seg: 0.0321 (0.0348) loss_lansim: 0.0689 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4165 data: 0.0023 max mem: 31671 Epoch: [35] [2690/5278] eta: 1:49:24 lr: 6.984745454375775e-06 loss: 0.0298 (0.0325) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0697 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4114 data: 0.0024 max mem: 31671 Epoch: [35] [2700/5278] eta: 1:48:58 lr: 6.982092851499362e-06 loss: 0.0310 (0.0325) loss_seg: 0.0330 (0.0348) loss_lansim: 0.0689 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4065 data: 0.0024 max mem: 31671 Epoch: [35] [2710/5278] eta: 1:48:32 lr: 6.979440136644444e-06 loss: 0.0328 (0.0326) loss_seg: 0.0336 (0.0348) loss_lansim: 0.0689 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4154 data: 0.0024 max mem: 31671 Epoch: [35] [2720/5278] eta: 1:48:05 lr: 6.976787309758989e-06 loss: 0.0307 (0.0325) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0690 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4156 data: 0.0024 max mem: 31671 Epoch: [35] [2730/5278] eta: 1:47:40 lr: 6.9741343707909355e-06 loss: 0.0298 (0.0325) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4329 data: 0.0024 max mem: 31671 Epoch: [35] [2740/5278] eta: 1:47:14 lr: 6.9714813196881725e-06 loss: 0.0307 (0.0325) loss_seg: 0.0329 (0.0348) loss_lansim: 0.0682 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4386 data: 0.0024 max mem: 31671 Epoch: [35] [2750/5278] eta: 1:46:47 lr: 6.968828156398545e-06 loss: 0.0307 (0.0325) loss_seg: 0.0330 (0.0348) loss_lansim: 0.0679 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4371 data: 0.0025 max mem: 31671 Epoch: [35] [2760/5278] eta: 1:46:20 lr: 6.966174880869836e-06 loss: 0.0298 (0.0325) loss_seg: 0.0321 (0.0348) loss_lansim: 0.0670 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4272 data: 0.0025 max mem: 31671 Epoch: [35] [2770/5278] eta: 1:45:54 lr: 6.9635214930498e-06 loss: 0.0307 (0.0325) loss_seg: 0.0329 (0.0348) loss_lansim: 0.0674 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4349 data: 0.0025 max mem: 31671 Epoch: [35] [2780/5278] eta: 1:45:28 lr: 6.960867992886142e-06 loss: 0.0300 (0.0325) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0679 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4332 data: 0.0025 max mem: 31671 Epoch: [35] [2790/5278] eta: 1:45:02 lr: 6.958214380326518e-06 loss: 0.0295 (0.0325) loss_seg: 0.0316 (0.0348) loss_lansim: 0.0677 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4397 data: 0.0024 max mem: 31671 Epoch: [35] [2800/5278] eta: 1:44:36 lr: 6.955560655318527e-06 loss: 0.0286 (0.0325) loss_seg: 0.0304 (0.0348) loss_lansim: 0.0677 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4456 data: 0.0024 max mem: 31671 Epoch: [35] [2810/5278] eta: 1:44:10 lr: 6.9529068178097385e-06 loss: 0.0273 (0.0325) loss_seg: 0.0296 (0.0347) loss_lansim: 0.0670 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4448 data: 0.0024 max mem: 31671 Epoch: [35] [2820/5278] eta: 1:43:44 lr: 6.950252867747665e-06 loss: 0.0271 (0.0324) loss_seg: 0.0296 (0.0347) loss_lansim: 0.0677 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4466 data: 0.0024 max mem: 31671 Epoch: [35] [2830/5278] eta: 1:43:17 lr: 6.9475988050797846e-06 loss: 0.0266 (0.0324) loss_seg: 0.0290 (0.0347) loss_lansim: 0.0666 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4335 data: 0.0023 max mem: 31671 Epoch: [35] [2840/5278] eta: 1:42:52 lr: 6.9449446297535055e-06 loss: 0.0271 (0.0324) loss_seg: 0.0297 (0.0347) loss_lansim: 0.0677 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4332 data: 0.0023 max mem: 31671 Epoch: [35] [2850/5278] eta: 1:42:25 lr: 6.942290341716207e-06 loss: 0.0262 (0.0324) loss_seg: 0.0284 (0.0347) loss_lansim: 0.0681 (0.0697) loss_contra: 0.0000 (0.0018) time: 2.4312 data: 0.0023 max mem: 31671 Epoch: [35] [2860/5278] eta: 1:41:59 lr: 6.939635940915218e-06 loss: 0.0271 (0.0324) loss_seg: 0.0297 (0.0347) loss_lansim: 0.0684 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4406 data: 0.0023 max mem: 31671 Epoch: [35] [2870/5278] eta: 1:41:32 lr: 6.936981427297827e-06 loss: 0.0271 (0.0324) loss_seg: 0.0297 (0.0347) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4325 data: 0.0023 max mem: 31671 Epoch: [35] [2880/5278] eta: 1:41:07 lr: 6.934326800811254e-06 loss: 0.0271 (0.0324) loss_seg: 0.0296 (0.0347) loss_lansim: 0.0681 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4401 data: 0.0023 max mem: 31671 Epoch: [35] [2890/5278] eta: 1:40:40 lr: 6.931672061402692e-06 loss: 0.0276 (0.0324) loss_seg: 0.0301 (0.0347) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4330 data: 0.0023 max mem: 31671 Epoch: [35] [2900/5278] eta: 1:40:14 lr: 6.929017209019281e-06 loss: 0.0281 (0.0324) loss_seg: 0.0306 (0.0347) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4259 data: 0.0023 max mem: 31671 Epoch: [35] [2910/5278] eta: 1:39:48 lr: 6.92636224360812e-06 loss: 0.0281 (0.0324) loss_seg: 0.0303 (0.0347) loss_lansim: 0.0695 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4287 data: 0.0023 max mem: 31671 Epoch: [35] [2920/5278] eta: 1:39:23 lr: 6.92370716511624e-06 loss: 0.0281 (0.0324) loss_seg: 0.0302 (0.0347) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4363 data: 0.0024 max mem: 31671 Epoch: [35] [2930/5278] eta: 1:38:58 lr: 6.921051973490647e-06 loss: 0.0287 (0.0324) loss_seg: 0.0307 (0.0347) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4569 data: 0.0024 max mem: 31671 Epoch: [35] [2940/5278] eta: 1:38:32 lr: 6.918396668678289e-06 loss: 0.0275 (0.0324) loss_seg: 0.0299 (0.0346) loss_lansim: 0.0681 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4507 data: 0.0023 max mem: 31671 Epoch: [35] [2950/5278] eta: 1:38:06 lr: 6.915741250626069e-06 loss: 0.0275 (0.0324) loss_seg: 0.0299 (0.0347) loss_lansim: 0.0688 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4585 data: 0.0023 max mem: 31671 Epoch: [35] [2960/5278] eta: 1:37:40 lr: 6.9130857192808485e-06 loss: 0.0277 (0.0324) loss_seg: 0.0302 (0.0347) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4589 data: 0.0023 max mem: 31671 Epoch: [35] [2970/5278] eta: 1:37:15 lr: 6.910430074589422e-06 loss: 0.0275 (0.0324) loss_seg: 0.0301 (0.0347) loss_lansim: 0.0684 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4692 data: 0.0023 max mem: 31671 Epoch: [35] [2980/5278] eta: 1:36:49 lr: 6.9077743164985566e-06 loss: 0.0275 (0.0324) loss_seg: 0.0299 (0.0347) loss_lansim: 0.0675 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4717 data: 0.0023 max mem: 31671 Epoch: [35] [2990/5278] eta: 1:36:23 lr: 6.905118444954964e-06 loss: 0.0275 (0.0324) loss_seg: 0.0299 (0.0347) loss_lansim: 0.0670 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4727 data: 0.0023 max mem: 31671 Epoch: [35] [3000/5278] eta: 1:35:57 lr: 6.902462459905314e-06 loss: 0.0277 (0.0324) loss_seg: 0.0299 (0.0347) loss_lansim: 0.0677 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4731 data: 0.0023 max mem: 31671 Epoch: [35] [3010/5278] eta: 1:35:31 lr: 6.89980636129621e-06 loss: 0.0275 (0.0324) loss_seg: 0.0293 (0.0346) loss_lansim: 0.0673 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4681 data: 0.0023 max mem: 31671 Epoch: [35] [3020/5278] eta: 1:35:05 lr: 6.897150149074226e-06 loss: 0.0280 (0.0324) loss_seg: 0.0300 (0.0347) loss_lansim: 0.0677 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4553 data: 0.0023 max mem: 31671 Epoch: [35] [3030/5278] eta: 1:34:39 lr: 6.8944938231858856e-06 loss: 0.0288 (0.0324) loss_seg: 0.0302 (0.0346) loss_lansim: 0.0682 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4415 data: 0.0023 max mem: 31671 Epoch: [35] [3040/5278] eta: 1:34:13 lr: 6.8918373835776625e-06 loss: 0.0295 (0.0324) loss_seg: 0.0311 (0.0347) loss_lansim: 0.0684 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4436 data: 0.0024 max mem: 31671 Epoch: [35] [3050/5278] eta: 1:33:47 lr: 6.8891808301959706e-06 loss: 0.0298 (0.0324) loss_seg: 0.0323 (0.0347) loss_lansim: 0.0684 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4438 data: 0.0024 max mem: 31671 Epoch: [35] [3060/5278] eta: 1:33:21 lr: 6.886524162987193e-06 loss: 0.0295 (0.0324) loss_seg: 0.0310 (0.0347) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4429 data: 0.0024 max mem: 31671 Epoch: [35] [3070/5278] eta: 1:32:55 lr: 6.883867381897656e-06 loss: 0.0296 (0.0325) loss_seg: 0.0310 (0.0348) loss_lansim: 0.0687 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4361 data: 0.0024 max mem: 31671 Epoch: [35] [3080/5278] eta: 1:32:30 lr: 6.881210486873645e-06 loss: 0.0302 (0.0325) loss_seg: 0.0327 (0.0348) loss_lansim: 0.0696 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4351 data: 0.0024 max mem: 31671 Epoch: [35] [3090/5278] eta: 1:32:04 lr: 6.878553477861377e-06 loss: 0.0302 (0.0325) loss_seg: 0.0327 (0.0348) loss_lansim: 0.0698 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4368 data: 0.0024 max mem: 31671 Epoch: [35] [3100/5278] eta: 1:31:38 lr: 6.8758963548070435e-06 loss: 0.0307 (0.0325) loss_seg: 0.0336 (0.0348) loss_lansim: 0.0700 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4352 data: 0.0025 max mem: 31671 Epoch: [35] [3110/5278] eta: 1:31:12 lr: 6.873239117656777e-06 loss: 0.0310 (0.0325) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0698 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4399 data: 0.0024 max mem: 31671 Epoch: [35] [3120/5278] eta: 1:30:46 lr: 6.870581766356668e-06 loss: 0.0310 (0.0325) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0698 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4403 data: 0.0024 max mem: 31671 Epoch: [35] [3130/5278] eta: 1:30:20 lr: 6.8679243008527415e-06 loss: 0.0296 (0.0324) loss_seg: 0.0326 (0.0347) loss_lansim: 0.0693 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4392 data: 0.0025 max mem: 31671 Epoch: [35] [3140/5278] eta: 1:29:55 lr: 6.865266721090992e-06 loss: 0.0291 (0.0325) loss_seg: 0.0319 (0.0347) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4490 data: 0.0024 max mem: 31671 Epoch: [35] [3150/5278] eta: 1:29:29 lr: 6.8626090270173565e-06 loss: 0.0284 (0.0324) loss_seg: 0.0290 (0.0347) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4436 data: 0.0024 max mem: 31671 Epoch: [35] [3160/5278] eta: 1:29:03 lr: 6.859951218577734e-06 loss: 0.0287 (0.0324) loss_seg: 0.0304 (0.0347) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4472 data: 0.0024 max mem: 31671 Epoch: [35] [3170/5278] eta: 1:28:38 lr: 6.857293295717952e-06 loss: 0.0281 (0.0324) loss_seg: 0.0290 (0.0347) loss_lansim: 0.0693 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4469 data: 0.0024 max mem: 31671 Epoch: [35] [3180/5278] eta: 1:28:12 lr: 6.8546352583838095e-06 loss: 0.0277 (0.0324) loss_seg: 0.0283 (0.0347) loss_lansim: 0.0698 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4496 data: 0.0025 max mem: 31671 Epoch: [35] [3190/5278] eta: 1:27:46 lr: 6.85197710652105e-06 loss: 0.0277 (0.0324) loss_seg: 0.0282 (0.0347) loss_lansim: 0.0704 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4508 data: 0.0024 max mem: 31671 Epoch: [35] [3200/5278] eta: 1:27:21 lr: 6.849318840075367e-06 loss: 0.0269 (0.0324) loss_seg: 0.0280 (0.0347) loss_lansim: 0.0704 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4576 data: 0.0024 max mem: 31671 Epoch: [35] [3210/5278] eta: 1:26:55 lr: 6.846660458992411e-06 loss: 0.0269 (0.0324) loss_seg: 0.0280 (0.0347) loss_lansim: 0.0707 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4508 data: 0.0024 max mem: 31671 Epoch: [35] [3220/5278] eta: 1:26:29 lr: 6.844001963217767e-06 loss: 0.0272 (0.0324) loss_seg: 0.0282 (0.0347) loss_lansim: 0.0707 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4541 data: 0.0024 max mem: 31671 Epoch: [35] [3230/5278] eta: 1:26:03 lr: 6.841343352696984e-06 loss: 0.0272 (0.0324) loss_seg: 0.0282 (0.0347) loss_lansim: 0.0707 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4569 data: 0.0024 max mem: 31671 Epoch: [35] [3240/5278] eta: 1:25:38 lr: 6.838684627375565e-06 loss: 0.0280 (0.0324) loss_seg: 0.0297 (0.0347) loss_lansim: 0.0711 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4476 data: 0.0024 max mem: 31671 Epoch: [35] [3250/5278] eta: 1:25:12 lr: 6.836025787198958e-06 loss: 0.0277 (0.0324) loss_seg: 0.0297 (0.0347) loss_lansim: 0.0707 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4482 data: 0.0024 max mem: 31671 Epoch: [35] [3260/5278] eta: 1:24:46 lr: 6.833366832112552e-06 loss: 0.0284 (0.0324) loss_seg: 0.0301 (0.0347) loss_lansim: 0.0707 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4364 data: 0.0024 max mem: 31671 Epoch: [35] [3270/5278] eta: 1:24:20 lr: 6.8307077620617e-06 loss: 0.0289 (0.0324) loss_seg: 0.0312 (0.0347) loss_lansim: 0.0702 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4399 data: 0.0024 max mem: 31671 Epoch: [35] [3280/5278] eta: 1:23:55 lr: 6.8280485769917025e-06 loss: 0.0290 (0.0325) loss_seg: 0.0317 (0.0347) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4357 data: 0.0024 max mem: 31671 Epoch: [35] [3290/5278] eta: 1:23:29 lr: 6.825389276847813e-06 loss: 0.0289 (0.0325) loss_seg: 0.0311 (0.0347) loss_lansim: 0.0680 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4346 data: 0.0024 max mem: 31671 Epoch: [35] [3300/5278] eta: 1:23:03 lr: 6.822729861575221e-06 loss: 0.0306 (0.0325) loss_seg: 0.0318 (0.0347) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4317 data: 0.0025 max mem: 31671 Epoch: [35] [3310/5278] eta: 1:22:38 lr: 6.820070331119079e-06 loss: 0.0306 (0.0325) loss_seg: 0.0318 (0.0347) loss_lansim: 0.0678 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4356 data: 0.0025 max mem: 31671 Epoch: [35] [3320/5278] eta: 1:22:12 lr: 6.817410685424489e-06 loss: 0.0306 (0.0325) loss_seg: 0.0323 (0.0347) loss_lansim: 0.0677 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4379 data: 0.0024 max mem: 31671 Epoch: [35] [3330/5278] eta: 1:21:47 lr: 6.814750924436504e-06 loss: 0.0306 (0.0324) loss_seg: 0.0320 (0.0347) loss_lansim: 0.0669 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4443 data: 0.0024 max mem: 31671 Epoch: [35] [3340/5278] eta: 1:21:21 lr: 6.8120910481001135e-06 loss: 0.0303 (0.0324) loss_seg: 0.0309 (0.0347) loss_lansim: 0.0669 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4344 data: 0.0024 max mem: 31671 Epoch: [35] [3350/5278] eta: 1:20:56 lr: 6.809431056360274e-06 loss: 0.0304 (0.0324) loss_seg: 0.0316 (0.0347) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4461 data: 0.0024 max mem: 31671 Epoch: [35] [3360/5278] eta: 1:20:30 lr: 6.806770949161883e-06 loss: 0.0298 (0.0324) loss_seg: 0.0309 (0.0347) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4606 data: 0.0024 max mem: 31671 Epoch: [35] [3370/5278] eta: 1:20:04 lr: 6.804110726449797e-06 loss: 0.0296 (0.0324) loss_seg: 0.0305 (0.0347) loss_lansim: 0.0680 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4549 data: 0.0024 max mem: 31671 Epoch: [35] [3380/5278] eta: 1:19:39 lr: 6.801450388168801e-06 loss: 0.0291 (0.0324) loss_seg: 0.0304 (0.0347) loss_lansim: 0.0682 (0.0698) loss_contra: 0.0000 (0.0019) time: 2.4496 data: 0.0024 max mem: 31671 Epoch: [35] [3390/5278] eta: 1:19:13 lr: 6.798789934263649e-06 loss: 0.0291 (0.0324) loss_seg: 0.0304 (0.0347) loss_lansim: 0.0685 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4460 data: 0.0024 max mem: 31671 Epoch: [35] [3400/5278] eta: 1:18:47 lr: 6.796129364679041e-06 loss: 0.0283 (0.0324) loss_seg: 0.0297 (0.0347) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4375 data: 0.0024 max mem: 31671 Epoch: [35] [3410/5278] eta: 1:18:21 lr: 6.79346867935963e-06 loss: 0.0283 (0.0324) loss_seg: 0.0297 (0.0347) loss_lansim: 0.0684 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4276 data: 0.0024 max mem: 31671 Epoch: [35] [3420/5278] eta: 1:17:56 lr: 6.7908078782499995e-06 loss: 0.0272 (0.0324) loss_seg: 0.0295 (0.0347) loss_lansim: 0.0685 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4355 data: 0.0024 max mem: 31671 Epoch: [35] [3430/5278] eta: 1:17:30 lr: 6.788146961294701e-06 loss: 0.0278 (0.0324) loss_seg: 0.0298 (0.0347) loss_lansim: 0.0700 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4218 data: 0.0024 max mem: 31671 Epoch: [35] [3440/5278] eta: 1:17:04 lr: 6.785485928438233e-06 loss: 0.0278 (0.0324) loss_seg: 0.0301 (0.0347) loss_lansim: 0.0707 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4376 data: 0.0024 max mem: 31671 Epoch: [35] [3450/5278] eta: 1:16:39 lr: 6.7828247796250365e-06 loss: 0.0280 (0.0324) loss_seg: 0.0302 (0.0347) loss_lansim: 0.0707 (0.0698) loss_contra: 0.0000 (0.0018) time: 2.4278 data: 0.0024 max mem: 31671 Epoch: [35] [3460/5278] eta: 1:16:14 lr: 6.780163514799515e-06 loss: 0.0283 (0.0324) loss_seg: 0.0302 (0.0346) loss_lansim: 0.0709 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4273 data: 0.0024 max mem: 31671 Epoch: [35] [3470/5278] eta: 1:15:48 lr: 6.777502133905996e-06 loss: 0.0280 (0.0324) loss_seg: 0.0298 (0.0346) loss_lansim: 0.0709 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4298 data: 0.0024 max mem: 31671 Epoch: [35] [3480/5278] eta: 1:15:23 lr: 6.7748406368887785e-06 loss: 0.0277 (0.0324) loss_seg: 0.0297 (0.0346) loss_lansim: 0.0714 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4353 data: 0.0024 max mem: 31671 Epoch: [35] [3490/5278] eta: 1:14:57 lr: 6.772179023692103e-06 loss: 0.0278 (0.0323) loss_seg: 0.0298 (0.0346) loss_lansim: 0.0709 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4464 data: 0.0024 max mem: 31671 Epoch: [35] [3500/5278] eta: 1:14:31 lr: 6.769517294260167e-06 loss: 0.0278 (0.0323) loss_seg: 0.0297 (0.0346) loss_lansim: 0.0715 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4461 data: 0.0024 max mem: 31671 Epoch: [35] [3510/5278] eta: 1:14:06 lr: 6.766855448537095e-06 loss: 0.0277 (0.0323) loss_seg: 0.0296 (0.0346) loss_lansim: 0.0715 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4520 data: 0.0024 max mem: 31671 Epoch: [35] [3520/5278] eta: 1:13:40 lr: 6.7641934864669784e-06 loss: 0.0279 (0.0323) loss_seg: 0.0297 (0.0346) loss_lansim: 0.0715 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4401 data: 0.0024 max mem: 31671 Epoch: [35] [3530/5278] eta: 1:13:15 lr: 6.7615314079938565e-06 loss: 0.0278 (0.0323) loss_seg: 0.0292 (0.0346) loss_lansim: 0.0720 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4462 data: 0.0024 max mem: 31671 Epoch: [35] [3540/5278] eta: 1:12:49 lr: 6.758869213061719e-06 loss: 0.0279 (0.0323) loss_seg: 0.0292 (0.0346) loss_lansim: 0.0718 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4338 data: 0.0024 max mem: 31671 Epoch: [35] [3550/5278] eta: 1:12:23 lr: 6.756206901614485e-06 loss: 0.0278 (0.0323) loss_seg: 0.0279 (0.0346) loss_lansim: 0.0718 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4350 data: 0.0024 max mem: 31671 Epoch: [35] [3560/5278] eta: 1:11:58 lr: 6.753544473596043e-06 loss: 0.0265 (0.0323) loss_seg: 0.0272 (0.0345) loss_lansim: 0.0720 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4288 data: 0.0024 max mem: 31671 Epoch: [35] [3570/5278] eta: 1:11:33 lr: 6.750881928950224e-06 loss: 0.0265 (0.0323) loss_seg: 0.0273 (0.0345) loss_lansim: 0.0711 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4358 data: 0.0024 max mem: 31671 Epoch: [35] [3580/5278] eta: 1:11:07 lr: 6.7482192676208105e-06 loss: 0.0287 (0.0323) loss_seg: 0.0292 (0.0346) loss_lansim: 0.0707 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4356 data: 0.0024 max mem: 31671 Epoch: [35] [3590/5278] eta: 1:10:42 lr: 6.7455564895515145e-06 loss: 0.0272 (0.0323) loss_seg: 0.0287 (0.0346) loss_lansim: 0.0708 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4304 data: 0.0023 max mem: 31671 Epoch: [35] [3600/5278] eta: 1:10:16 lr: 6.742893594686021e-06 loss: 0.0280 (0.0323) loss_seg: 0.0292 (0.0346) loss_lansim: 0.0703 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4350 data: 0.0023 max mem: 31671 Epoch: [35] [3610/5278] eta: 1:09:51 lr: 6.740230582967949e-06 loss: 0.0279 (0.0323) loss_seg: 0.0287 (0.0345) loss_lansim: 0.0697 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4367 data: 0.0023 max mem: 31671 Epoch: [35] [3620/5278] eta: 1:09:25 lr: 6.737567454340878e-06 loss: 0.0280 (0.0323) loss_seg: 0.0292 (0.0345) loss_lansim: 0.0703 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4356 data: 0.0023 max mem: 31671 Epoch: [35] [3630/5278] eta: 1:09:00 lr: 6.734904208748312e-06 loss: 0.0280 (0.0323) loss_seg: 0.0297 (0.0345) loss_lansim: 0.0697 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4381 data: 0.0023 max mem: 31671 Epoch: [35] [3640/5278] eta: 1:08:34 lr: 6.7322408461337235e-06 loss: 0.0280 (0.0323) loss_seg: 0.0297 (0.0345) loss_lansim: 0.0696 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4451 data: 0.0023 max mem: 31671 Epoch: [35] [3650/5278] eta: 1:08:09 lr: 6.7295773664405285e-06 loss: 0.0280 (0.0323) loss_seg: 0.0297 (0.0345) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4424 data: 0.0023 max mem: 31671 Epoch: [35] [3660/5278] eta: 1:07:43 lr: 6.726913769612093e-06 loss: 0.0280 (0.0322) loss_seg: 0.0297 (0.0345) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4418 data: 0.0023 max mem: 31671 Epoch: [35] [3670/5278] eta: 1:07:18 lr: 6.724250055591716e-06 loss: 0.0283 (0.0322) loss_seg: 0.0302 (0.0345) loss_lansim: 0.0692 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4383 data: 0.0023 max mem: 31671 Epoch: [35] [3680/5278] eta: 1:06:53 lr: 6.721586224322661e-06 loss: 0.0280 (0.0322) loss_seg: 0.0297 (0.0345) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4466 data: 0.0023 max mem: 31671 Epoch: [35] [3690/5278] eta: 1:06:28 lr: 6.718922275748131e-06 loss: 0.0280 (0.0322) loss_seg: 0.0297 (0.0345) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4512 data: 0.0023 max mem: 31671 Epoch: [35] [3700/5278] eta: 1:06:02 lr: 6.716258209811279e-06 loss: 0.0284 (0.0322) loss_seg: 0.0307 (0.0345) loss_lansim: 0.0702 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4530 data: 0.0023 max mem: 31671 Epoch: [35] [3710/5278] eta: 1:05:37 lr: 6.71359402645521e-06 loss: 0.0284 (0.0322) loss_seg: 0.0307 (0.0345) loss_lansim: 0.0700 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4633 data: 0.0023 max mem: 31671 Epoch: [35] [3720/5278] eta: 1:05:12 lr: 6.710929725622961e-06 loss: 0.0283 (0.0322) loss_seg: 0.0299 (0.0345) loss_lansim: 0.0702 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4760 data: 0.0023 max mem: 31671 Epoch: [35] [3730/5278] eta: 1:04:47 lr: 6.708265307257529e-06 loss: 0.0280 (0.0322) loss_seg: 0.0306 (0.0345) loss_lansim: 0.0700 (0.0699) loss_contra: 0.0000 (0.0019) time: 2.4786 data: 0.0023 max mem: 31671 Epoch: [35] [3740/5278] eta: 1:04:22 lr: 6.705600771301858e-06 loss: 0.0283 (0.0322) loss_seg: 0.0306 (0.0345) loss_lansim: 0.0701 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4825 data: 0.0023 max mem: 31671 Epoch: [35] [3750/5278] eta: 1:03:56 lr: 6.7029361176988406e-06 loss: 0.0288 (0.0322) loss_seg: 0.0316 (0.0345) loss_lansim: 0.0703 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4824 data: 0.0024 max mem: 31671 Epoch: [35] [3760/5278] eta: 1:03:31 lr: 6.700271346391301e-06 loss: 0.0297 (0.0322) loss_seg: 0.0321 (0.0345) loss_lansim: 0.0703 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4786 data: 0.0023 max mem: 31671 Epoch: [35] [3770/5278] eta: 1:03:05 lr: 6.697606457322027e-06 loss: 0.0297 (0.0322) loss_seg: 0.0321 (0.0345) loss_lansim: 0.0708 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4780 data: 0.0024 max mem: 31671 Epoch: [35] [3780/5278] eta: 1:02:40 lr: 6.694941450433749e-06 loss: 0.0287 (0.0322) loss_seg: 0.0315 (0.0345) loss_lansim: 0.0707 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4717 data: 0.0024 max mem: 31671 Epoch: [35] [3790/5278] eta: 1:02:15 lr: 6.692276325669149e-06 loss: 0.0297 (0.0322) loss_seg: 0.0325 (0.0345) loss_lansim: 0.0707 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4700 data: 0.0024 max mem: 31671 Epoch: [35] [3800/5278] eta: 1:01:50 lr: 6.689611082970836e-06 loss: 0.0299 (0.0322) loss_seg: 0.0326 (0.0345) loss_lansim: 0.0708 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4711 data: 0.0024 max mem: 31671 Epoch: [35] [3810/5278] eta: 1:01:24 lr: 6.686945722281385e-06 loss: 0.0305 (0.0323) loss_seg: 0.0331 (0.0345) loss_lansim: 0.0707 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4558 data: 0.0024 max mem: 31671 Epoch: [35] [3820/5278] eta: 1:00:58 lr: 6.684280243543314e-06 loss: 0.0304 (0.0323) loss_seg: 0.0329 (0.0345) loss_lansim: 0.0713 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4433 data: 0.0024 max mem: 31671 Epoch: [35] [3830/5278] eta: 1:00:33 lr: 6.681614646699093e-06 loss: 0.0299 (0.0323) loss_seg: 0.0326 (0.0345) loss_lansim: 0.0713 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4437 data: 0.0025 max mem: 31671 Epoch: [35] [3840/5278] eta: 1:00:08 lr: 6.678948931691115e-06 loss: 0.0308 (0.0323) loss_seg: 0.0329 (0.0345) loss_lansim: 0.0714 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4358 data: 0.0025 max mem: 31671 Epoch: [35] [3850/5278] eta: 0:59:43 lr: 6.6762830984617425e-06 loss: 0.0298 (0.0323) loss_seg: 0.0321 (0.0345) loss_lansim: 0.0716 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4415 data: 0.0026 max mem: 31671 Epoch: [35] [3860/5278] eta: 0:59:17 lr: 6.67361714695328e-06 loss: 0.0299 (0.0323) loss_seg: 0.0328 (0.0345) loss_lansim: 0.0714 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4483 data: 0.0026 max mem: 31671 Epoch: [35] [3870/5278] eta: 0:58:52 lr: 6.670951077107977e-06 loss: 0.0301 (0.0323) loss_seg: 0.0329 (0.0345) loss_lansim: 0.0713 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4535 data: 0.0026 max mem: 31671 Epoch: [35] [3880/5278] eta: 0:58:27 lr: 6.6682848888680194e-06 loss: 0.0321 (0.0323) loss_seg: 0.0338 (0.0345) loss_lansim: 0.0713 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4583 data: 0.0026 max mem: 31671 Epoch: [35] [3890/5278] eta: 0:58:02 lr: 6.665618582175549e-06 loss: 0.0319 (0.0323) loss_seg: 0.0338 (0.0345) loss_lansim: 0.0720 (0.0700) loss_contra: 0.0000 (0.0019) time: 2.4490 data: 0.0026 max mem: 31671 Epoch: [35] [3900/5278] eta: 0:57:36 lr: 6.662952156972656e-06 loss: 0.0319 (0.0323) loss_seg: 0.0338 (0.0346) loss_lansim: 0.0719 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4464 data: 0.0025 max mem: 31671 Epoch: [35] [3910/5278] eta: 0:57:11 lr: 6.660285613201377e-06 loss: 0.0308 (0.0323) loss_seg: 0.0337 (0.0346) loss_lansim: 0.0718 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4517 data: 0.0025 max mem: 31671 Epoch: [35] [3920/5278] eta: 0:56:46 lr: 6.657618950803677e-06 loss: 0.0308 (0.0323) loss_seg: 0.0337 (0.0346) loss_lansim: 0.0716 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4581 data: 0.0025 max mem: 31671 Epoch: [35] [3930/5278] eta: 0:56:20 lr: 6.6549521697214834e-06 loss: 0.0307 (0.0323) loss_seg: 0.0333 (0.0345) loss_lansim: 0.0719 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4456 data: 0.0025 max mem: 31671 Epoch: [35] [3940/5278] eta: 0:55:55 lr: 6.65228526989667e-06 loss: 0.0307 (0.0323) loss_seg: 0.0333 (0.0346) loss_lansim: 0.0721 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4515 data: 0.0024 max mem: 31671 Epoch: [35] [3950/5278] eta: 0:55:29 lr: 6.649618251271049e-06 loss: 0.0307 (0.0323) loss_seg: 0.0333 (0.0345) loss_lansim: 0.0721 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4417 data: 0.0024 max mem: 31671 Epoch: [35] [3960/5278] eta: 0:55:04 lr: 6.646951113786387e-06 loss: 0.0301 (0.0323) loss_seg: 0.0327 (0.0345) loss_lansim: 0.0728 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4410 data: 0.0024 max mem: 31671 Epoch: [35] [3970/5278] eta: 0:54:39 lr: 6.64428385738438e-06 loss: 0.0297 (0.0323) loss_seg: 0.0310 (0.0345) loss_lansim: 0.0726 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4328 data: 0.0024 max mem: 31671 Epoch: [35] [3980/5278] eta: 0:54:14 lr: 6.641616482006683e-06 loss: 0.0293 (0.0323) loss_seg: 0.0301 (0.0346) loss_lansim: 0.0739 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4256 data: 0.0023 max mem: 31671 Epoch: [35] [3990/5278] eta: 0:53:48 lr: 6.638948987594891e-06 loss: 0.0293 (0.0323) loss_seg: 0.0301 (0.0346) loss_lansim: 0.0721 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4276 data: 0.0024 max mem: 31671 Epoch: [35] [4000/5278] eta: 0:53:23 lr: 6.636281374090555e-06 loss: 0.0290 (0.0323) loss_seg: 0.0300 (0.0346) loss_lansim: 0.0708 (0.0701) loss_contra: 0.0000 (0.0019) time: 2.4307 data: 0.0024 max mem: 31671 Epoch: [35] [4010/5278] eta: 0:52:58 lr: 6.633613641435151e-06 loss: 0.0293 (0.0323) loss_seg: 0.0301 (0.0346) loss_lansim: 0.0711 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.4263 data: 0.0024 max mem: 31671 Epoch: [35] [4020/5278] eta: 0:52:32 lr: 6.630945789570112e-06 loss: 0.0294 (0.0323) loss_seg: 0.0309 (0.0346) loss_lansim: 0.0715 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.4220 data: 0.0024 max mem: 31671 Epoch: [35] [4030/5278] eta: 0:52:07 lr: 6.6282778184368195e-06 loss: 0.0300 (0.0323) loss_seg: 0.0316 (0.0346) loss_lansim: 0.0740 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.4295 data: 0.0023 max mem: 31671 Epoch: [35] [4040/5278] eta: 0:51:42 lr: 6.6256097279766e-06 loss: 0.0300 (0.0324) loss_seg: 0.0311 (0.0346) loss_lansim: 0.0715 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.4320 data: 0.0023 max mem: 31671 Epoch: [35] [4050/5278] eta: 0:51:17 lr: 6.62294151813071e-06 loss: 0.0305 (0.0324) loss_seg: 0.0317 (0.0346) loss_lansim: 0.0715 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.4348 data: 0.0024 max mem: 31671 Epoch: [35] [4060/5278] eta: 0:50:51 lr: 6.620273188840365e-06 loss: 0.0309 (0.0324) loss_seg: 0.0323 (0.0346) loss_lansim: 0.0714 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.4362 data: 0.0024 max mem: 31671 Epoch: [35] [4070/5278] eta: 0:50:26 lr: 6.617604740046722e-06 loss: 0.0313 (0.0324) loss_seg: 0.0329 (0.0346) loss_lansim: 0.0715 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.4281 data: 0.0024 max mem: 31671 Epoch: [35] [4080/5278] eta: 0:50:01 lr: 6.614936171690888e-06 loss: 0.0305 (0.0324) loss_seg: 0.0321 (0.0346) loss_lansim: 0.0715 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.4252 data: 0.0025 max mem: 31671 Epoch: [35] [4090/5278] eta: 0:49:35 lr: 6.612267483713898e-06 loss: 0.0294 (0.0323) loss_seg: 0.0317 (0.0346) loss_lansim: 0.0715 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.4355 data: 0.0025 max mem: 31671 Epoch: [35] [4100/5278] eta: 0:49:11 lr: 6.609598676056745e-06 loss: 0.0310 (0.0324) loss_seg: 0.0321 (0.0346) loss_lansim: 0.0716 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.4446 data: 0.0025 max mem: 31671 Epoch: [35] [4110/5278] eta: 0:48:46 lr: 6.606929748660367e-06 loss: 0.0305 (0.0323) loss_seg: 0.0322 (0.0346) loss_lansim: 0.0716 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.4732 data: 0.0025 max mem: 31671 Epoch: [35] [4120/5278] eta: 0:48:21 lr: 6.604260701465648e-06 loss: 0.0320 (0.0324) loss_seg: 0.0332 (0.0346) loss_lansim: 0.0714 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.5007 data: 0.0025 max mem: 31671 Epoch: [35] [4130/5278] eta: 0:47:57 lr: 6.6015915344133966e-06 loss: 0.0310 (0.0324) loss_seg: 0.0327 (0.0346) loss_lansim: 0.0701 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.5402 data: 0.0026 max mem: 31671 Epoch: [35] [4140/5278] eta: 0:47:34 lr: 6.5989222474443894e-06 loss: 0.0304 (0.0324) loss_seg: 0.0326 (0.0346) loss_lansim: 0.0701 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.5966 data: 0.0026 max mem: 31671 Epoch: [35] [4150/5278] eta: 0:47:10 lr: 6.596252840499334e-06 loss: 0.0305 (0.0324) loss_seg: 0.0326 (0.0346) loss_lansim: 0.0698 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.6611 data: 0.0027 max mem: 31671 Epoch: [35] [4160/5278] eta: 0:46:46 lr: 6.593583313518895e-06 loss: 0.0304 (0.0324) loss_seg: 0.0325 (0.0346) loss_lansim: 0.0705 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.6912 data: 0.0027 max mem: 31671 Epoch: [35] [4170/5278] eta: 0:46:21 lr: 6.590913666443658e-06 loss: 0.0302 (0.0324) loss_seg: 0.0317 (0.0346) loss_lansim: 0.0703 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.7288 data: 0.0027 max mem: 31671 Epoch: [35] [4180/5278] eta: 0:45:57 lr: 6.588243899214173e-06 loss: 0.0303 (0.0324) loss_seg: 0.0327 (0.0346) loss_lansim: 0.0698 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.7732 data: 0.0027 max mem: 31671 Epoch: [35] [4190/5278] eta: 0:45:33 lr: 6.585574011770926e-06 loss: 0.0309 (0.0324) loss_seg: 0.0335 (0.0346) loss_lansim: 0.0698 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.8105 data: 0.0027 max mem: 31671 Epoch: [35] [4200/5278] eta: 0:45:09 lr: 6.582904004054348e-06 loss: 0.0306 (0.0324) loss_seg: 0.0332 (0.0346) loss_lansim: 0.0696 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.8466 data: 0.0027 max mem: 31671 Epoch: [35] [4210/5278] eta: 0:44:44 lr: 6.580233876004821e-06 loss: 0.0304 (0.0324) loss_seg: 0.0331 (0.0346) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.8542 data: 0.0027 max mem: 31671 Epoch: [35] [4220/5278] eta: 0:44:20 lr: 6.5775636275626465e-06 loss: 0.0303 (0.0324) loss_seg: 0.0331 (0.0346) loss_lansim: 0.0684 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.8630 data: 0.0028 max mem: 31671 Epoch: [35] [4230/5278] eta: 0:43:55 lr: 6.574893258668095e-06 loss: 0.0306 (0.0324) loss_seg: 0.0332 (0.0346) loss_lansim: 0.0682 (0.0702) loss_contra: 0.0000 (0.0018) time: 2.8643 data: 0.0027 max mem: 31671 Epoch: [35] [4240/5278] eta: 0:43:31 lr: 6.572222769261372e-06 loss: 0.0306 (0.0324) loss_seg: 0.0332 (0.0346) loss_lansim: 0.0677 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.8509 data: 0.0028 max mem: 31671 Epoch: [35] [4250/5278] eta: 0:43:07 lr: 6.569552159282627e-06 loss: 0.0306 (0.0324) loss_seg: 0.0332 (0.0346) loss_lansim: 0.0672 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.8269 data: 0.0027 max mem: 31671 Epoch: [35] [4260/5278] eta: 0:42:42 lr: 6.566881428671943e-06 loss: 0.0306 (0.0324) loss_seg: 0.0332 (0.0346) loss_lansim: 0.0668 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.8233 data: 0.0028 max mem: 31671 Epoch: [35] [4270/5278] eta: 0:42:18 lr: 6.56421057736936e-06 loss: 0.0307 (0.0324) loss_seg: 0.0335 (0.0346) loss_lansim: 0.0670 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.8314 data: 0.0028 max mem: 31671 Epoch: [35] [4280/5278] eta: 0:41:53 lr: 6.561539605314853e-06 loss: 0.0327 (0.0324) loss_seg: 0.0346 (0.0347) loss_lansim: 0.0673 (0.0701) loss_contra: 0.0000 (0.0018) time: 2.8294 data: 0.0028 max mem: 31671 Epoch: [35] [4290/5278] eta: 0:41:29 lr: 6.558868512448352e-06 loss: 0.0322 (0.0324) loss_seg: 0.0337 (0.0347) loss_lansim: 0.0695 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.8366 data: 0.0028 max mem: 31671 Epoch: [35] [4300/5278] eta: 0:41:05 lr: 6.5561972987097045e-06 loss: 0.0321 (0.0324) loss_seg: 0.0341 (0.0347) loss_lansim: 0.0696 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8255 data: 0.0028 max mem: 31671 Epoch: [35] [4310/5278] eta: 0:40:40 lr: 6.553525964038724e-06 loss: 0.0327 (0.0325) loss_seg: 0.0353 (0.0347) loss_lansim: 0.0706 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8192 data: 0.0028 max mem: 31671 Epoch: [35] [4320/5278] eta: 0:40:15 lr: 6.550854508375161e-06 loss: 0.0306 (0.0324) loss_seg: 0.0331 (0.0347) loss_lansim: 0.0706 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8284 data: 0.0028 max mem: 31671 Epoch: [35] [4330/5278] eta: 0:39:51 lr: 6.54818293165871e-06 loss: 0.0295 (0.0324) loss_seg: 0.0322 (0.0347) loss_lansim: 0.0708 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8286 data: 0.0028 max mem: 31671 Epoch: [35] [4340/5278] eta: 0:39:26 lr: 6.545511233828995e-06 loss: 0.0294 (0.0324) loss_seg: 0.0316 (0.0347) loss_lansim: 0.0709 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8280 data: 0.0028 max mem: 31671 Epoch: [35] [4350/5278] eta: 0:39:02 lr: 6.542839414825598e-06 loss: 0.0280 (0.0324) loss_seg: 0.0305 (0.0347) loss_lansim: 0.0702 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.8193 data: 0.0028 max mem: 31671 Epoch: [35] [4360/5278] eta: 0:38:37 lr: 6.540167474588038e-06 loss: 0.0287 (0.0324) loss_seg: 0.0305 (0.0347) loss_lansim: 0.0706 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.8172 data: 0.0028 max mem: 31671 Epoch: [35] [4370/5278] eta: 0:38:12 lr: 6.537495413055782e-06 loss: 0.0285 (0.0324) loss_seg: 0.0301 (0.0347) loss_lansim: 0.0705 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.8123 data: 0.0028 max mem: 31671 Epoch: [35] [4380/5278] eta: 0:37:48 lr: 6.534823230168223e-06 loss: 0.0279 (0.0324) loss_seg: 0.0291 (0.0347) loss_lansim: 0.0699 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.8227 data: 0.0029 max mem: 31671 Epoch: [35] [4390/5278] eta: 0:37:23 lr: 6.532150925864711e-06 loss: 0.0264 (0.0324) loss_seg: 0.0281 (0.0347) loss_lansim: 0.0699 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.8155 data: 0.0028 max mem: 31671 Epoch: [35] [4400/5278] eta: 0:36:58 lr: 6.529478500084535e-06 loss: 0.0264 (0.0324) loss_seg: 0.0282 (0.0347) loss_lansim: 0.0700 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8142 data: 0.0028 max mem: 31671 Epoch: [35] [4410/5278] eta: 0:36:34 lr: 6.52680595276693e-06 loss: 0.0266 (0.0324) loss_seg: 0.0282 (0.0347) loss_lansim: 0.0695 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8213 data: 0.0029 max mem: 31671 Epoch: [35] [4420/5278] eta: 0:36:09 lr: 6.5241332838510585e-06 loss: 0.0279 (0.0324) loss_seg: 0.0291 (0.0347) loss_lansim: 0.0699 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8194 data: 0.0028 max mem: 31671 Epoch: [35] [4430/5278] eta: 0:35:44 lr: 6.521460493276035e-06 loss: 0.0275 (0.0324) loss_seg: 0.0291 (0.0346) loss_lansim: 0.0700 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8187 data: 0.0028 max mem: 31671 Epoch: [35] [4440/5278] eta: 0:35:20 lr: 6.5187875809809205e-06 loss: 0.0278 (0.0324) loss_seg: 0.0297 (0.0346) loss_lansim: 0.0699 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8467 data: 0.0029 max mem: 31671 Epoch: [35] [4450/5278] eta: 0:34:55 lr: 6.5161145469047085e-06 loss: 0.0289 (0.0324) loss_seg: 0.0302 (0.0347) loss_lansim: 0.0702 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8538 data: 0.0028 max mem: 31671 Epoch: [35] [4460/5278] eta: 0:34:31 lr: 6.513441390986347e-06 loss: 0.0289 (0.0324) loss_seg: 0.0314 (0.0347) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8887 data: 0.0029 max mem: 31671 Epoch: [35] [4470/5278] eta: 0:34:07 lr: 6.5107681131647e-06 loss: 0.0290 (0.0324) loss_seg: 0.0317 (0.0347) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9223 data: 0.0029 max mem: 31671 Epoch: [35] [4480/5278] eta: 0:33:43 lr: 6.5080947133785985e-06 loss: 0.0303 (0.0324) loss_seg: 0.0328 (0.0347) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9566 data: 0.0029 max mem: 31671 Epoch: [35] [4490/5278] eta: 0:33:18 lr: 6.505421191566803e-06 loss: 0.0303 (0.0324) loss_seg: 0.0328 (0.0347) loss_lansim: 0.0696 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9509 data: 0.0029 max mem: 31671 Epoch: [35] [4500/5278] eta: 0:32:53 lr: 6.502747547668028e-06 loss: 0.0303 (0.0324) loss_seg: 0.0322 (0.0347) loss_lansim: 0.0695 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9448 data: 0.0029 max mem: 31671 Epoch: [35] [4510/5278] eta: 0:32:28 lr: 6.5000737816209026e-06 loss: 0.0292 (0.0324) loss_seg: 0.0317 (0.0346) loss_lansim: 0.0693 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9572 data: 0.0029 max mem: 31671 Epoch: [35] [4520/5278] eta: 0:32:03 lr: 6.497399893364022e-06 loss: 0.0292 (0.0324) loss_seg: 0.0317 (0.0346) loss_lansim: 0.0681 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9555 data: 0.0029 max mem: 31671 Epoch: [35] [4530/5278] eta: 0:31:38 lr: 6.494725882835913e-06 loss: 0.0303 (0.0324) loss_seg: 0.0323 (0.0346) loss_lansim: 0.0681 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9622 data: 0.0029 max mem: 31671 Epoch: [35] [4540/5278] eta: 0:31:13 lr: 6.49205174997505e-06 loss: 0.0295 (0.0324) loss_seg: 0.0320 (0.0346) loss_lansim: 0.0681 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9155 data: 0.0029 max mem: 31671 Epoch: [35] [4550/5278] eta: 0:30:48 lr: 6.4893774947198314e-06 loss: 0.0295 (0.0324) loss_seg: 0.0322 (0.0346) loss_lansim: 0.0681 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.9120 data: 0.0029 max mem: 31671 Epoch: [35] [4560/5278] eta: 0:30:23 lr: 6.486703117008612e-06 loss: 0.0293 (0.0324) loss_seg: 0.0317 (0.0347) loss_lansim: 0.0681 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8884 data: 0.0029 max mem: 31671 Epoch: [35] [4570/5278] eta: 0:29:58 lr: 6.484028616779684e-06 loss: 0.0295 (0.0324) loss_seg: 0.0323 (0.0347) loss_lansim: 0.0680 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8600 data: 0.0029 max mem: 31671 Epoch: [35] [4580/5278] eta: 0:29:33 lr: 6.481353993971287e-06 loss: 0.0293 (0.0324) loss_seg: 0.0316 (0.0347) loss_lansim: 0.0695 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8082 data: 0.0028 max mem: 31671 Epoch: [35] [4590/5278] eta: 0:29:08 lr: 6.478679248521577e-06 loss: 0.0295 (0.0324) loss_seg: 0.0323 (0.0347) loss_lansim: 0.0702 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7943 data: 0.0029 max mem: 31671 Epoch: [35] [4600/5278] eta: 0:28:43 lr: 6.476004380368673e-06 loss: 0.0298 (0.0324) loss_seg: 0.0324 (0.0347) loss_lansim: 0.0708 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7957 data: 0.0028 max mem: 31671 Epoch: [35] [4610/5278] eta: 0:28:18 lr: 6.47332938945063e-06 loss: 0.0313 (0.0324) loss_seg: 0.0340 (0.0347) loss_lansim: 0.0718 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7892 data: 0.0028 max mem: 31671 Epoch: [35] [4620/5278] eta: 0:27:53 lr: 6.470654275705447e-06 loss: 0.0332 (0.0325) loss_seg: 0.0349 (0.0347) loss_lansim: 0.0719 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7865 data: 0.0028 max mem: 31671 Epoch: [35] [4630/5278] eta: 0:27:28 lr: 6.467979039071044e-06 loss: 0.0333 (0.0325) loss_seg: 0.0349 (0.0348) loss_lansim: 0.0718 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7756 data: 0.0028 max mem: 31671 Epoch: [35] [4640/5278] eta: 0:27:03 lr: 6.4653036794853e-06 loss: 0.0348 (0.0325) loss_seg: 0.0368 (0.0348) loss_lansim: 0.0719 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7851 data: 0.0028 max mem: 31671 Epoch: [35] [4650/5278] eta: 0:26:38 lr: 6.462628196886031e-06 loss: 0.0343 (0.0325) loss_seg: 0.0354 (0.0348) loss_lansim: 0.0718 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7830 data: 0.0028 max mem: 31671 Epoch: [35] [4660/5278] eta: 0:26:13 lr: 6.459952591210994e-06 loss: 0.0323 (0.0325) loss_seg: 0.0330 (0.0348) loss_lansim: 0.0716 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7889 data: 0.0029 max mem: 31671 Epoch: [35] [4670/5278] eta: 0:25:48 lr: 6.457276862397871e-06 loss: 0.0308 (0.0325) loss_seg: 0.0326 (0.0348) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7912 data: 0.0028 max mem: 31671 Epoch: [35] [4680/5278] eta: 0:25:23 lr: 6.4546010103843e-06 loss: 0.0308 (0.0325) loss_seg: 0.0326 (0.0348) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7995 data: 0.0028 max mem: 31671 Epoch: [35] [4690/5278] eta: 0:24:57 lr: 6.451925035107855e-06 loss: 0.0308 (0.0325) loss_seg: 0.0327 (0.0348) loss_lansim: 0.0697 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.8010 data: 0.0028 max mem: 31671 Epoch: [35] [4700/5278] eta: 0:24:32 lr: 6.449248936506047e-06 loss: 0.0296 (0.0325) loss_seg: 0.0324 (0.0347) loss_lansim: 0.0690 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7912 data: 0.0028 max mem: 31671 Epoch: [35] [4710/5278] eta: 0:24:07 lr: 6.446572714516335e-06 loss: 0.0273 (0.0325) loss_seg: 0.0296 (0.0347) loss_lansim: 0.0692 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7837 data: 0.0028 max mem: 31671 Epoch: [35] [4720/5278] eta: 0:23:42 lr: 6.443896369076098e-06 loss: 0.0270 (0.0325) loss_seg: 0.0294 (0.0347) loss_lansim: 0.0694 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7855 data: 0.0028 max mem: 31671 Epoch: [35] [4730/5278] eta: 0:23:16 lr: 6.441219900122671e-06 loss: 0.0270 (0.0325) loss_seg: 0.0289 (0.0347) loss_lansim: 0.0692 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7833 data: 0.0028 max mem: 31671 Epoch: [35] [4740/5278] eta: 0:22:51 lr: 6.438543307593325e-06 loss: 0.0268 (0.0325) loss_seg: 0.0289 (0.0347) loss_lansim: 0.0688 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7763 data: 0.0027 max mem: 31671 Epoch: [35] [4750/5278] eta: 0:22:26 lr: 6.435866591425274e-06 loss: 0.0279 (0.0325) loss_seg: 0.0297 (0.0347) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7663 data: 0.0027 max mem: 31671 Epoch: [35] [4760/5278] eta: 0:22:00 lr: 6.433189751555655e-06 loss: 0.0287 (0.0325) loss_seg: 0.0311 (0.0347) loss_lansim: 0.0690 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7464 data: 0.0026 max mem: 31671 Epoch: [35] [4770/5278] eta: 0:21:35 lr: 6.430512787921558e-06 loss: 0.0290 (0.0325) loss_seg: 0.0317 (0.0347) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7425 data: 0.0026 max mem: 31671 Epoch: [35] [4780/5278] eta: 0:21:10 lr: 6.427835700460013e-06 loss: 0.0297 (0.0325) loss_seg: 0.0324 (0.0347) loss_lansim: 0.0687 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7321 data: 0.0026 max mem: 31671 Epoch: [35] [4790/5278] eta: 0:20:44 lr: 6.425158489107987e-06 loss: 0.0290 (0.0325) loss_seg: 0.0317 (0.0347) loss_lansim: 0.0687 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7362 data: 0.0026 max mem: 31671 Epoch: [35] [4800/5278] eta: 0:20:19 lr: 6.422481153802372e-06 loss: 0.0296 (0.0325) loss_seg: 0.0317 (0.0347) loss_lansim: 0.0679 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7339 data: 0.0026 max mem: 31671 Epoch: [35] [4810/5278] eta: 0:19:54 lr: 6.419803694480017e-06 loss: 0.0309 (0.0325) loss_seg: 0.0334 (0.0347) loss_lansim: 0.0674 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7318 data: 0.0026 max mem: 31671 Epoch: [35] [4820/5278] eta: 0:19:28 lr: 6.417126111077701e-06 loss: 0.0305 (0.0325) loss_seg: 0.0332 (0.0347) loss_lansim: 0.0668 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7120 data: 0.0026 max mem: 31671 Epoch: [35] [4830/5278] eta: 0:19:03 lr: 6.414448403532151e-06 loss: 0.0303 (0.0325) loss_seg: 0.0324 (0.0347) loss_lansim: 0.0670 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.7015 data: 0.0026 max mem: 31671 Epoch: [35] [4840/5278] eta: 0:18:37 lr: 6.41177057178001e-06 loss: 0.0296 (0.0325) loss_seg: 0.0313 (0.0347) loss_lansim: 0.0674 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6970 data: 0.0025 max mem: 31671 Epoch: [35] [4850/5278] eta: 0:18:12 lr: 6.4090926157578795e-06 loss: 0.0296 (0.0325) loss_seg: 0.0321 (0.0347) loss_lansim: 0.0674 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6978 data: 0.0026 max mem: 31671 Epoch: [35] [4860/5278] eta: 0:17:47 lr: 6.406414535402296e-06 loss: 0.0297 (0.0325) loss_seg: 0.0322 (0.0347) loss_lansim: 0.0674 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6925 data: 0.0025 max mem: 31671 Epoch: [35] [4870/5278] eta: 0:17:21 lr: 6.403736330649733e-06 loss: 0.0293 (0.0325) loss_seg: 0.0321 (0.0347) loss_lansim: 0.0673 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6757 data: 0.0025 max mem: 31671 Epoch: [35] [4880/5278] eta: 0:16:56 lr: 6.401058001436591e-06 loss: 0.0292 (0.0325) loss_seg: 0.0320 (0.0347) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6656 data: 0.0025 max mem: 31671 Epoch: [35] [4890/5278] eta: 0:16:30 lr: 6.398379547699224e-06 loss: 0.0292 (0.0325) loss_seg: 0.0319 (0.0347) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6691 data: 0.0025 max mem: 31671 Epoch: [35] [4900/5278] eta: 0:16:05 lr: 6.395700969373915e-06 loss: 0.0292 (0.0325) loss_seg: 0.0319 (0.0347) loss_lansim: 0.0688 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6900 data: 0.0025 max mem: 31671 Epoch: [35] [4910/5278] eta: 0:15:39 lr: 6.393022266396889e-06 loss: 0.0284 (0.0325) loss_seg: 0.0307 (0.0347) loss_lansim: 0.0687 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6822 data: 0.0025 max mem: 31671 Epoch: [35] [4920/5278] eta: 0:15:14 lr: 6.3903434387043145e-06 loss: 0.0292 (0.0325) loss_seg: 0.0311 (0.0347) loss_lansim: 0.0687 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6697 data: 0.0025 max mem: 31671 Epoch: [35] [4930/5278] eta: 0:14:48 lr: 6.387664486232274e-06 loss: 0.0292 (0.0325) loss_seg: 0.0311 (0.0348) loss_lansim: 0.0687 (0.0702) loss_contra: 0.0000 (0.0017) time: 2.6751 data: 0.0025 max mem: 31671 Epoch: [35] [4940/5278] eta: 0:14:23 lr: 6.384985408916812e-06 loss: 0.0292 (0.0325) loss_seg: 0.0311 (0.0348) loss_lansim: 0.0679 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.6916 data: 0.0025 max mem: 31671 Epoch: [35] [4950/5278] eta: 0:13:58 lr: 6.382306206693901e-06 loss: 0.0292 (0.0325) loss_seg: 0.0311 (0.0348) loss_lansim: 0.0682 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.6781 data: 0.0026 max mem: 31671 Epoch: [35] [4960/5278] eta: 0:13:32 lr: 6.379626879499458e-06 loss: 0.0292 (0.0325) loss_seg: 0.0311 (0.0348) loss_lansim: 0.0682 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.6592 data: 0.0026 max mem: 31671 Epoch: [35] [4970/5278] eta: 0:13:06 lr: 6.3769474272693184e-06 loss: 0.0292 (0.0325) loss_seg: 0.0314 (0.0348) loss_lansim: 0.0680 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.6466 data: 0.0026 max mem: 31671 Epoch: [35] [4980/5278] eta: 0:12:41 lr: 6.374267849939272e-06 loss: 0.0287 (0.0325) loss_seg: 0.0311 (0.0348) loss_lansim: 0.0679 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.6397 data: 0.0026 max mem: 31671 Epoch: [35] [4990/5278] eta: 0:12:15 lr: 6.3715881474450425e-06 loss: 0.0297 (0.0325) loss_seg: 0.0315 (0.0348) loss_lansim: 0.0679 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.6219 data: 0.0026 max mem: 31671 Epoch: [35] [5000/5278] eta: 0:11:50 lr: 6.368908319722294e-06 loss: 0.0297 (0.0325) loss_seg: 0.0317 (0.0348) loss_lansim: 0.0682 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.6106 data: 0.0026 max mem: 31671 Epoch: [35] [5010/5278] eta: 0:11:24 lr: 6.36622836670661e-06 loss: 0.0301 (0.0325) loss_seg: 0.0322 (0.0348) loss_lansim: 0.0675 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.5860 data: 0.0025 max mem: 31671 Epoch: [35] [5020/5278] eta: 0:10:59 lr: 6.363548288333529e-06 loss: 0.0301 (0.0325) loss_seg: 0.0317 (0.0348) loss_lansim: 0.0677 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.5732 data: 0.0025 max mem: 31671 Epoch: [35] [5030/5278] eta: 0:10:33 lr: 6.360868084538518e-06 loss: 0.0303 (0.0325) loss_seg: 0.0322 (0.0348) loss_lansim: 0.0677 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.5535 data: 0.0025 max mem: 31671 Epoch: [35] [5040/5278] eta: 0:10:08 lr: 6.358187755256992e-06 loss: 0.0309 (0.0325) loss_seg: 0.0326 (0.0348) loss_lansim: 0.0682 (0.0701) loss_contra: 0.0000 (0.0017) time: 2.5251 data: 0.0025 max mem: 31671 Epoch: [35] [5050/5278] eta: 0:09:42 lr: 6.355507300424279e-06 loss: 0.0297 (0.0325) loss_seg: 0.0317 (0.0348) loss_lansim: 0.0675 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5347 data: 0.0025 max mem: 31671 Epoch: [35] [5060/5278] eta: 0:09:16 lr: 6.352826719975663e-06 loss: 0.0297 (0.0325) loss_seg: 0.0314 (0.0348) loss_lansim: 0.0675 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5467 data: 0.0025 max mem: 31671 Epoch: [35] [5070/5278] eta: 0:08:51 lr: 6.350146013846359e-06 loss: 0.0293 (0.0325) loss_seg: 0.0313 (0.0348) loss_lansim: 0.0688 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5458 data: 0.0025 max mem: 31671 Epoch: [35] [5080/5278] eta: 0:08:25 lr: 6.3474651819715235e-06 loss: 0.0287 (0.0325) loss_seg: 0.0303 (0.0348) loss_lansim: 0.0682 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5405 data: 0.0025 max mem: 31671 Epoch: [35] [5090/5278] eta: 0:08:00 lr: 6.344784224286234e-06 loss: 0.0286 (0.0326) loss_seg: 0.0302 (0.0348) loss_lansim: 0.0670 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5375 data: 0.0025 max mem: 31671 Epoch: [35] [5100/5278] eta: 0:07:34 lr: 6.342103140725514e-06 loss: 0.0278 (0.0326) loss_seg: 0.0300 (0.0348) loss_lansim: 0.0668 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5263 data: 0.0025 max mem: 31671 Epoch: [35] [5110/5278] eta: 0:07:09 lr: 6.339421931224328e-06 loss: 0.0284 (0.0326) loss_seg: 0.0302 (0.0348) loss_lansim: 0.0675 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5313 data: 0.0025 max mem: 31671 Epoch: [35] [5120/5278] eta: 0:06:43 lr: 6.336740595717573e-06 loss: 0.0281 (0.0326) loss_seg: 0.0302 (0.0348) loss_lansim: 0.0672 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5398 data: 0.0025 max mem: 31671 Epoch: [35] [5130/5278] eta: 0:06:18 lr: 6.334059134140069e-06 loss: 0.0274 (0.0326) loss_seg: 0.0291 (0.0348) loss_lansim: 0.0670 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5326 data: 0.0025 max mem: 31671 Epoch: [35] [5140/5278] eta: 0:05:52 lr: 6.331377546426587e-06 loss: 0.0278 (0.0326) loss_seg: 0.0300 (0.0348) loss_lansim: 0.0670 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5230 data: 0.0025 max mem: 31671 Epoch: [35] [5150/5278] eta: 0:05:26 lr: 6.3286958325118275e-06 loss: 0.0290 (0.0326) loss_seg: 0.0319 (0.0349) loss_lansim: 0.0672 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5065 data: 0.0025 max mem: 31671 Epoch: [35] [5160/5278] eta: 0:05:01 lr: 6.32601399233043e-06 loss: 0.0290 (0.0326) loss_seg: 0.0319 (0.0349) loss_lansim: 0.0675 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5057 data: 0.0024 max mem: 31671 Epoch: [35] [5170/5278] eta: 0:04:35 lr: 6.323332025816972e-06 loss: 0.0296 (0.0326) loss_seg: 0.0325 (0.0349) loss_lansim: 0.0669 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.5030 data: 0.0024 max mem: 31671 Epoch: [35] [5180/5278] eta: 0:04:10 lr: 6.320649932905948e-06 loss: 0.0303 (0.0326) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0672 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4915 data: 0.0024 max mem: 31671 Epoch: [35] [5190/5278] eta: 0:03:44 lr: 6.317967713531807e-06 loss: 0.0305 (0.0326) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0681 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4805 data: 0.0024 max mem: 31671 Epoch: [35] [5200/5278] eta: 0:03:19 lr: 6.315285367628927e-06 loss: 0.0303 (0.0326) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0681 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4678 data: 0.0024 max mem: 31671 Epoch: [35] [5210/5278] eta: 0:02:53 lr: 6.312602895131627e-06 loss: 0.0305 (0.0326) loss_seg: 0.0332 (0.0348) loss_lansim: 0.0695 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4720 data: 0.0024 max mem: 31671 Epoch: [35] [5220/5278] eta: 0:02:28 lr: 6.30992029597414e-06 loss: 0.0300 (0.0326) loss_seg: 0.0327 (0.0348) loss_lansim: 0.0695 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4705 data: 0.0024 max mem: 31671 Epoch: [35] [5230/5278] eta: 0:02:02 lr: 6.307237570090657e-06 loss: 0.0303 (0.0326) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0703 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4643 data: 0.0024 max mem: 31671 Epoch: [35] [5240/5278] eta: 0:01:36 lr: 6.304554717415295e-06 loss: 0.0305 (0.0326) loss_seg: 0.0335 (0.0349) loss_lansim: 0.0699 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4604 data: 0.0024 max mem: 31671 Epoch: [35] [5250/5278] eta: 0:01:11 lr: 6.30187173788211e-06 loss: 0.0305 (0.0326) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0691 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4631 data: 0.0024 max mem: 31671 Epoch: [35] [5260/5278] eta: 0:00:45 lr: 6.299188631425078e-06 loss: 0.0305 (0.0326) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0691 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4503 data: 0.0024 max mem: 31671 Epoch: [35] [5270/5278] eta: 0:00:20 lr: 6.296505397978124e-06 loss: 0.0303 (0.0326) loss_seg: 0.0328 (0.0349) loss_lansim: 0.0688 (0.0701) loss_contra: 0.0000 (0.0016) time: 2.4513 data: 0.0024 max mem: 31671 Epoch: [35] Total time: 3:44:28 Test: [ 0/2573] eta: 1:34:42 time: 2.2085 data: 2.0043 max mem: 31671 Test: [ 100/2573] eta: 0:06:34 time: 0.1392 data: 0.0014 max mem: 31671 Test: [ 200/2573] eta: 0:06:03 time: 0.1462 data: 0.0014 max mem: 31671 Test: [ 300/2573] eta: 0:05:38 time: 0.1408 data: 0.0014 max mem: 31671 Test: [ 400/2573] eta: 0:05:20 time: 0.1428 data: 0.0013 max mem: 31671 Test: [ 500/2573] eta: 0:05:04 time: 0.1454 data: 0.0014 max mem: 31671 Test: [ 600/2573] eta: 0:04:49 time: 0.1457 data: 0.0013 max mem: 31671 Test: [ 700/2573] eta: 0:04:35 time: 0.1494 data: 0.0014 max mem: 31671 Test: [ 800/2573] eta: 0:04:20 time: 0.1458 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:05 time: 0.1454 data: 0.0014 max mem: 31671 Test: [1000/2573] eta: 0:03:50 time: 0.1441 data: 0.0014 max mem: 31671 Test: [1100/2573] eta: 0:03:35 time: 0.1441 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:20 time: 0.1464 data: 0.0015 max mem: 31671 Test: [1300/2573] eta: 0:03:06 time: 0.1449 data: 0.0014 max mem: 31671 Test: [1400/2573] eta: 0:02:51 time: 0.1411 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:36 time: 0.1457 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:21 time: 0.1449 data: 0.0015 max mem: 31671 Test: [1700/2573] eta: 0:02:07 time: 0.1463 data: 0.0015 max mem: 31671 Test: [1800/2573] eta: 0:01:52 time: 0.1436 data: 0.0015 max mem: 31671 Test: [1900/2573] eta: 0:01:37 time: 0.1418 data: 0.0014 max mem: 31671 Test: [2000/2573] eta: 0:01:23 time: 0.1414 data: 0.0014 max mem: 31671 Test: [2100/2573] eta: 0:01:08 time: 0.1463 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:54 time: 0.1412 data: 0.0013 max mem: 31671 Test: [2300/2573] eta: 0:00:39 time: 0.1464 data: 0.0014 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1441 data: 0.0014 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1465 data: 0.0014 max mem: 31671 Test: Total time: 0:06:13 Final results: precision@0.5 = 71.59 precision@0.6 = 67.46 precision@0.7 = 61.09 precision@0.8 = 49.55 precision@0.9 = 25.76 overall IoU = 60.78 mean IoU = 63.58 Average object IoU 0.635845689599178 Overall IoU 60.78072694748048 Better epoch: 35 The best_performance is 60.78072694748048 Epoch: [36] [ 0/5278] eta: 5:42:16 lr: 6.294358719743372e-06 loss: 0.0366 (0.0366) loss_seg: 0.0403 (0.0403) loss_lansim: 0.0764 (0.0764) loss_contra: 0.0000 (0.0000) time: 3.8910 data: 1.3315 max mem: 31671 Epoch: [36] [ 10/5278] eta: 3:50:16 lr: 6.291675257547827e-06 loss: 0.0366 (0.0354) loss_seg: 0.0403 (0.0379) loss_lansim: 0.0749 (0.0712) loss_contra: 0.0000 (0.0004) time: 2.6228 data: 0.1226 max mem: 31671 Epoch: [36] [ 20/5278] eta: 3:42:18 lr: 6.288991668176989e-06 loss: 0.0313 (0.0325) loss_seg: 0.0333 (0.0347) loss_lansim: 0.0702 (0.0711) loss_contra: 0.0000 (0.0002) time: 2.5369 data: 0.0652 max mem: 31671 Epoch: [36] [ 30/5278] eta: 3:38:16 lr: 6.286307951564534e-06 loss: 0.0304 (0.0342) loss_seg: 0.0307 (0.0363) loss_lansim: 0.0700 (0.0706) loss_contra: 0.0000 (0.0003) time: 2.4955 data: 0.0449 max mem: 31671 Epoch: [36] [ 40/5278] eta: 3:36:41 lr: 6.28362410764405e-06 loss: 0.0304 (0.0331) loss_seg: 0.0307 (0.0353) loss_lansim: 0.0689 (0.0701) loss_contra: 0.0000 (0.0013) time: 2.4822 data: 0.0346 max mem: 31671 Epoch: [36] [ 50/5278] eta: 3:36:23 lr: 6.280940136349085e-06 loss: 0.0304 (0.0336) loss_seg: 0.0310 (0.0361) loss_lansim: 0.0686 (0.0703) loss_contra: 0.0000 (0.0011) time: 2.4835 data: 0.0283 max mem: 31671 Epoch: [36] [ 60/5278] eta: 3:34:38 lr: 6.278256037613111e-06 loss: 0.0305 (0.0335) loss_seg: 0.0317 (0.0359) loss_lansim: 0.0686 (0.0700) loss_contra: 0.0000 (0.0009) time: 2.4680 data: 0.0240 max mem: 31671 Epoch: [36] [ 70/5278] eta: 3:33:41 lr: 6.275571811369537e-06 loss: 0.0304 (0.0328) loss_seg: 0.0307 (0.0352) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0008) time: 2.4619 data: 0.0210 max mem: 31671 Epoch: [36] [ 80/5278] eta: 3:33:37 lr: 6.272887457551689e-06 loss: 0.0304 (0.0330) loss_seg: 0.0308 (0.0353) loss_lansim: 0.0686 (0.0700) loss_contra: 0.0000 (0.0008) time: 2.4659 data: 0.0187 max mem: 31671 Epoch: [36] [ 90/5278] eta: 3:33:22 lr: 6.270202976092848e-06 loss: 0.0285 (0.0321) loss_seg: 0.0307 (0.0343) loss_lansim: 0.0686 (0.0704) loss_contra: 0.0000 (0.0007) time: 2.4677 data: 0.0169 max mem: 31671 Epoch: [36] [ 100/5278] eta: 3:33:03 lr: 6.26751836692622e-06 loss: 0.0285 (0.0323) loss_seg: 0.0306 (0.0345) loss_lansim: 0.0686 (0.0703) loss_contra: 0.0000 (0.0007) time: 2.4546 data: 0.0023 max mem: 31671 Epoch: [36] [ 110/5278] eta: 3:32:09 lr: 6.264833629984948e-06 loss: 0.0285 (0.0324) loss_seg: 0.0306 (0.0346) loss_lansim: 0.0686 (0.0700) loss_contra: 0.0000 (0.0007) time: 2.4456 data: 0.0024 max mem: 31671 Epoch: [36] [ 120/5278] eta: 3:31:59 lr: 6.262148765202091e-06 loss: 0.0285 (0.0323) loss_seg: 0.0302 (0.0345) loss_lansim: 0.0680 (0.0697) loss_contra: 0.0000 (0.0006) time: 2.4510 data: 0.0024 max mem: 31671 Epoch: [36] [ 130/5278] eta: 3:31:29 lr: 6.259463772510664e-06 loss: 0.0282 (0.0329) loss_seg: 0.0302 (0.0352) loss_lansim: 0.0675 (0.0696) loss_contra: 0.0000 (0.0006) time: 2.4553 data: 0.0024 max mem: 31671 Epoch: [36] [ 140/5278] eta: 3:31:01 lr: 6.2567786518436005e-06 loss: 0.0281 (0.0325) loss_seg: 0.0301 (0.0348) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0006) time: 2.4568 data: 0.0024 max mem: 31671 Epoch: [36] [ 150/5278] eta: 3:30:36 lr: 6.25409340313378e-06 loss: 0.0282 (0.0329) loss_seg: 0.0302 (0.0353) loss_lansim: 0.0692 (0.0699) loss_contra: 0.0000 (0.0006) time: 2.4543 data: 0.0024 max mem: 31671 Epoch: [36] [ 160/5278] eta: 3:29:50 lr: 6.251408026313994e-06 loss: 0.0281 (0.0329) loss_seg: 0.0301 (0.0353) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0006) time: 2.4553 data: 0.0024 max mem: 31671 Epoch: [36] [ 170/5278] eta: 3:29:10 lr: 6.248722521316985e-06 loss: 0.0286 (0.0335) loss_seg: 0.0308 (0.0359) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0006) time: 2.4535 data: 0.0024 max mem: 31671 Epoch: [36] [ 180/5278] eta: 3:28:58 lr: 6.24603688807542e-06 loss: 0.0282 (0.0335) loss_seg: 0.0302 (0.0359) loss_lansim: 0.0692 (0.0699) loss_contra: 0.0000 (0.0006) time: 2.4544 data: 0.0024 max mem: 31671 Epoch: [36] [ 190/5278] eta: 3:28:07 lr: 6.2433511265219e-06 loss: 0.0303 (0.0333) loss_seg: 0.0329 (0.0357) loss_lansim: 0.0692 (0.0699) loss_contra: 0.0000 (0.0012) time: 2.4423 data: 0.0023 max mem: 31671 Epoch: [36] [ 200/5278] eta: 3:27:49 lr: 6.240665236588968e-06 loss: 0.0288 (0.0334) loss_seg: 0.0314 (0.0359) loss_lansim: 0.0694 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.4422 data: 0.0023 max mem: 31671 Epoch: [36] [ 210/5278] eta: 3:27:36 lr: 6.237979218209075e-06 loss: 0.0303 (0.0333) loss_seg: 0.0332 (0.0357) loss_lansim: 0.0689 (0.0699) loss_contra: 0.0000 (0.0012) time: 2.4518 data: 0.0023 max mem: 31671 Epoch: [36] [ 220/5278] eta: 3:26:56 lr: 6.235293071314625e-06 loss: 0.0304 (0.0332) loss_seg: 0.0332 (0.0355) loss_lansim: 0.0691 (0.0701) loss_contra: 0.0000 (0.0012) time: 2.4412 data: 0.0023 max mem: 31671 Epoch: [36] [ 230/5278] eta: 3:26:21 lr: 6.232606795837949e-06 loss: 0.0304 (0.0330) loss_seg: 0.0317 (0.0353) loss_lansim: 0.0704 (0.0701) loss_contra: 0.0000 (0.0012) time: 2.4368 data: 0.0023 max mem: 31671 Epoch: [36] [ 240/5278] eta: 3:25:52 lr: 6.229920391711314e-06 loss: 0.0309 (0.0327) loss_seg: 0.0332 (0.0351) loss_lansim: 0.0702 (0.0701) loss_contra: 0.0000 (0.0012) time: 2.4343 data: 0.0023 max mem: 31671 Epoch: [36] [ 250/5278] eta: 3:25:06 lr: 6.227233858866903e-06 loss: 0.0291 (0.0325) loss_seg: 0.0305 (0.0348) loss_lansim: 0.0702 (0.0703) loss_contra: 0.0000 (0.0011) time: 2.4225 data: 0.0023 max mem: 31671 Epoch: [36] [ 260/5278] eta: 3:24:45 lr: 6.224547197236846e-06 loss: 0.0287 (0.0324) loss_seg: 0.0302 (0.0347) loss_lansim: 0.0704 (0.0703) loss_contra: 0.0000 (0.0011) time: 2.4294 data: 0.0023 max mem: 31671 Epoch: [36] [ 270/5278] eta: 3:24:06 lr: 6.2218604067532014e-06 loss: 0.0280 (0.0322) loss_seg: 0.0295 (0.0345) loss_lansim: 0.0714 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.4255 data: 0.0023 max mem: 31671 Epoch: [36] [ 280/5278] eta: 3:23:30 lr: 6.2191734873479634e-06 loss: 0.0291 (0.0324) loss_seg: 0.0304 (0.0346) loss_lansim: 0.0719 (0.0707) loss_contra: 0.0000 (0.0011) time: 2.4133 data: 0.0023 max mem: 31671 Epoch: [36] [ 290/5278] eta: 3:23:13 lr: 6.21648643895304e-06 loss: 0.0283 (0.0322) loss_seg: 0.0297 (0.0344) loss_lansim: 0.0725 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.4258 data: 0.0024 max mem: 31671 Epoch: [36] [ 300/5278] eta: 3:22:57 lr: 6.2137992615002885e-06 loss: 0.0280 (0.0320) loss_seg: 0.0293 (0.0342) loss_lansim: 0.0729 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.4273 data: 0.0024 max mem: 31671 Epoch: [36] [ 310/5278] eta: 3:22:38 lr: 6.211111954921493e-06 loss: 0.0284 (0.0323) loss_seg: 0.0297 (0.0345) loss_lansim: 0.0730 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.4254 data: 0.0024 max mem: 31671 Epoch: [36] [ 320/5278] eta: 3:22:08 lr: 6.208424519148372e-06 loss: 0.0290 (0.0323) loss_seg: 0.0305 (0.0345) loss_lansim: 0.0729 (0.0707) loss_contra: 0.0000 (0.0011) time: 2.4272 data: 0.0024 max mem: 31671 Epoch: [36] [ 330/5278] eta: 3:21:43 lr: 6.205736954112558e-06 loss: 0.0284 (0.0322) loss_seg: 0.0304 (0.0344) loss_lansim: 0.0730 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.4309 data: 0.0024 max mem: 31671 Epoch: [36] [ 340/5278] eta: 3:21:18 lr: 6.203049259745634e-06 loss: 0.0291 (0.0322) loss_seg: 0.0305 (0.0344) loss_lansim: 0.0738 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.4324 data: 0.0024 max mem: 31671 Epoch: [36] [ 350/5278] eta: 3:20:51 lr: 6.200361435979106e-06 loss: 0.0290 (0.0322) loss_seg: 0.0304 (0.0343) loss_lansim: 0.0736 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.4403 data: 0.0024 max mem: 31671 Epoch: [36] [ 360/5278] eta: 3:20:33 lr: 6.197673482744417e-06 loss: 0.0293 (0.0322) loss_seg: 0.0312 (0.0344) loss_lansim: 0.0729 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.4428 data: 0.0024 max mem: 31671 Epoch: [36] [ 370/5278] eta: 3:20:08 lr: 6.1949853999729224e-06 loss: 0.0301 (0.0323) loss_seg: 0.0320 (0.0344) loss_lansim: 0.0720 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.4501 data: 0.0024 max mem: 31671 Epoch: [36] [ 380/5278] eta: 3:19:48 lr: 6.192297187595928e-06 loss: 0.0299 (0.0327) loss_seg: 0.0312 (0.0349) loss_lansim: 0.0706 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.4604 data: 0.0024 max mem: 31671 Epoch: [36] [ 390/5278] eta: 3:19:25 lr: 6.189608845544662e-06 loss: 0.0303 (0.0327) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0726 (0.0711) loss_contra: 0.0000 (0.0010) time: 2.4580 data: 0.0024 max mem: 31671 Epoch: [36] [ 400/5278] eta: 3:19:07 lr: 6.18692037375029e-06 loss: 0.0304 (0.0325) loss_seg: 0.0327 (0.0348) loss_lansim: 0.0719 (0.0711) loss_contra: 0.0000 (0.0010) time: 2.4580 data: 0.0024 max mem: 31671 Epoch: [36] [ 410/5278] eta: 3:18:46 lr: 6.1842317721438885e-06 loss: 0.0301 (0.0325) loss_seg: 0.0307 (0.0347) loss_lansim: 0.0726 (0.0712) loss_contra: 0.0000 (0.0010) time: 2.4579 data: 0.0024 max mem: 31671 Epoch: [36] [ 420/5278] eta: 3:18:23 lr: 6.181543040656484e-06 loss: 0.0301 (0.0326) loss_seg: 0.0307 (0.0348) loss_lansim: 0.0729 (0.0713) loss_contra: 0.0000 (0.0010) time: 2.4638 data: 0.0023 max mem: 31671 Epoch: [36] [ 430/5278] eta: 3:17:46 lr: 6.178854179219025e-06 loss: 0.0308 (0.0326) loss_seg: 0.0320 (0.0348) loss_lansim: 0.0726 (0.0713) loss_contra: 0.0000 (0.0010) time: 2.4526 data: 0.0023 max mem: 31671 Epoch: [36] [ 440/5278] eta: 3:17:21 lr: 6.176165187762391e-06 loss: 0.0308 (0.0328) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0722 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4525 data: 0.0023 max mem: 31671 Epoch: [36] [ 450/5278] eta: 3:17:01 lr: 6.173476066217397e-06 loss: 0.0322 (0.0331) loss_seg: 0.0344 (0.0353) loss_lansim: 0.0719 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4592 data: 0.0023 max mem: 31671 Epoch: [36] [ 460/5278] eta: 3:16:46 lr: 6.17078681451477e-06 loss: 0.0308 (0.0331) loss_seg: 0.0334 (0.0353) loss_lansim: 0.0731 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4634 data: 0.0023 max mem: 31671 Epoch: [36] [ 470/5278] eta: 3:16:20 lr: 6.168097432585184e-06 loss: 0.0304 (0.0330) loss_seg: 0.0313 (0.0353) loss_lansim: 0.0733 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4630 data: 0.0023 max mem: 31671 Epoch: [36] [ 480/5278] eta: 3:15:53 lr: 6.165407920359238e-06 loss: 0.0297 (0.0330) loss_seg: 0.0313 (0.0352) loss_lansim: 0.0722 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4575 data: 0.0023 max mem: 31671 Epoch: [36] [ 490/5278] eta: 3:15:26 lr: 6.162718277767463e-06 loss: 0.0288 (0.0329) loss_seg: 0.0309 (0.0351) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.4538 data: 0.0023 max mem: 31671 Epoch: [36] [ 500/5278] eta: 3:15:04 lr: 6.160028504740305e-06 loss: 0.0302 (0.0331) loss_seg: 0.0322 (0.0353) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.4512 data: 0.0023 max mem: 31671 Epoch: [36] [ 510/5278] eta: 3:14:39 lr: 6.157338601208155e-06 loss: 0.0302 (0.0330) loss_seg: 0.0322 (0.0353) loss_lansim: 0.0714 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.4478 data: 0.0023 max mem: 31671 Epoch: [36] [ 520/5278] eta: 3:14:11 lr: 6.154648567101326e-06 loss: 0.0312 (0.0331) loss_seg: 0.0334 (0.0353) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.4421 data: 0.0023 max mem: 31671 Epoch: [36] [ 530/5278] eta: 3:13:43 lr: 6.151958402350071e-06 loss: 0.0310 (0.0331) loss_seg: 0.0326 (0.0353) loss_lansim: 0.0714 (0.0716) loss_contra: 0.0000 (0.0009) time: 2.4502 data: 0.0023 max mem: 31671 Epoch: [36] [ 540/5278] eta: 3:13:12 lr: 6.149268106884548e-06 loss: 0.0304 (0.0330) loss_seg: 0.0325 (0.0352) loss_lansim: 0.0712 (0.0716) loss_contra: 0.0000 (0.0009) time: 2.4431 data: 0.0023 max mem: 31671 Epoch: [36] [ 550/5278] eta: 3:12:46 lr: 6.146577680634864e-06 loss: 0.0299 (0.0329) loss_seg: 0.0322 (0.0351) loss_lansim: 0.0714 (0.0717) loss_contra: 0.0000 (0.0009) time: 2.4371 data: 0.0023 max mem: 31671 Epoch: [36] [ 560/5278] eta: 3:12:19 lr: 6.1438871235310496e-06 loss: 0.0297 (0.0328) loss_seg: 0.0306 (0.0350) loss_lansim: 0.0716 (0.0718) loss_contra: 0.0000 (0.0009) time: 2.4248 data: 0.0023 max mem: 31671 Epoch: [36] [ 570/5278] eta: 3:11:58 lr: 6.141196435503068e-06 loss: 0.0297 (0.0328) loss_seg: 0.0316 (0.0350) loss_lansim: 0.0712 (0.0718) loss_contra: 0.0000 (0.0009) time: 2.4302 data: 0.0023 max mem: 31671 Epoch: [36] [ 580/5278] eta: 3:11:35 lr: 6.138505616480794e-06 loss: 0.0299 (0.0328) loss_seg: 0.0316 (0.0349) loss_lansim: 0.0712 (0.0718) loss_contra: 0.0000 (0.0009) time: 2.4339 data: 0.0023 max mem: 31671 Epoch: [36] [ 590/5278] eta: 3:11:16 lr: 6.1358146663940484e-06 loss: 0.0303 (0.0327) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0710 (0.0718) loss_contra: 0.0000 (0.0009) time: 2.4420 data: 0.0024 max mem: 31671 Epoch: [36] [ 600/5278] eta: 3:10:50 lr: 6.133123585172574e-06 loss: 0.0297 (0.0326) loss_seg: 0.0305 (0.0348) loss_lansim: 0.0710 (0.0717) loss_contra: 0.0000 (0.0009) time: 2.4389 data: 0.0024 max mem: 31671 Epoch: [36] [ 610/5278] eta: 3:10:23 lr: 6.130432372746049e-06 loss: 0.0297 (0.0325) loss_seg: 0.0303 (0.0347) loss_lansim: 0.0706 (0.0717) loss_contra: 0.0000 (0.0009) time: 2.4358 data: 0.0024 max mem: 31671 Epoch: [36] [ 620/5278] eta: 3:09:54 lr: 6.127741029044058e-06 loss: 0.0280 (0.0325) loss_seg: 0.0298 (0.0347) loss_lansim: 0.0710 (0.0717) loss_contra: 0.0000 (0.0009) time: 2.4332 data: 0.0024 max mem: 31671 Epoch: [36] [ 630/5278] eta: 3:09:26 lr: 6.125049553996136e-06 loss: 0.0279 (0.0325) loss_seg: 0.0294 (0.0347) loss_lansim: 0.0703 (0.0716) loss_contra: 0.0000 (0.0009) time: 2.4318 data: 0.0024 max mem: 31671 Epoch: [36] [ 640/5278] eta: 3:09:06 lr: 6.122357947531737e-06 loss: 0.0279 (0.0325) loss_seg: 0.0295 (0.0347) loss_lansim: 0.0703 (0.0716) loss_contra: 0.0000 (0.0009) time: 2.4446 data: 0.0024 max mem: 31671 Epoch: [36] [ 650/5278] eta: 3:08:38 lr: 6.119666209580249e-06 loss: 0.0273 (0.0324) loss_seg: 0.0294 (0.0347) loss_lansim: 0.0703 (0.0716) loss_contra: 0.0000 (0.0009) time: 2.4416 data: 0.0024 max mem: 31671 Epoch: [36] [ 660/5278] eta: 3:08:12 lr: 6.116974340070969e-06 loss: 0.0287 (0.0326) loss_seg: 0.0302 (0.0349) loss_lansim: 0.0696 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4429 data: 0.0025 max mem: 31671 Epoch: [36] [ 670/5278] eta: 3:07:49 lr: 6.1142823389331425e-06 loss: 0.0277 (0.0326) loss_seg: 0.0299 (0.0349) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.4406 data: 0.0025 max mem: 31671 Epoch: [36] [ 680/5278] eta: 3:07:24 lr: 6.111590206095932e-06 loss: 0.0291 (0.0326) loss_seg: 0.0303 (0.0348) loss_lansim: 0.0698 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.4366 data: 0.0025 max mem: 31671 Epoch: [36] [ 690/5278] eta: 3:07:00 lr: 6.108897941488428e-06 loss: 0.0278 (0.0325) loss_seg: 0.0295 (0.0347) loss_lansim: 0.0702 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.4321 data: 0.0024 max mem: 31671 Epoch: [36] [ 700/5278] eta: 3:06:38 lr: 6.106205545039659e-06 loss: 0.0287 (0.0325) loss_seg: 0.0302 (0.0347) loss_lansim: 0.0702 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4361 data: 0.0024 max mem: 31671 Epoch: [36] [ 710/5278] eta: 3:06:20 lr: 6.1035130166785554e-06 loss: 0.0291 (0.0325) loss_seg: 0.0312 (0.0347) loss_lansim: 0.0702 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.4490 data: 0.0024 max mem: 31671 Epoch: [36] [ 720/5278] eta: 3:06:01 lr: 6.100820356333997e-06 loss: 0.0291 (0.0324) loss_seg: 0.0312 (0.0347) loss_lansim: 0.0702 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4639 data: 0.0024 max mem: 31671 Epoch: [36] [ 730/5278] eta: 3:05:35 lr: 6.0981275639347824e-06 loss: 0.0287 (0.0324) loss_seg: 0.0308 (0.0346) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.4666 data: 0.0024 max mem: 31671 Epoch: [36] [ 740/5278] eta: 3:05:12 lr: 6.095434639409645e-06 loss: 0.0282 (0.0323) loss_seg: 0.0304 (0.0345) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.4638 data: 0.0024 max mem: 31671 Epoch: [36] [ 750/5278] eta: 3:04:46 lr: 6.092741582687223e-06 loss: 0.0282 (0.0323) loss_seg: 0.0308 (0.0345) loss_lansim: 0.0696 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.4663 data: 0.0024 max mem: 31671 Epoch: [36] [ 760/5278] eta: 3:04:19 lr: 6.090048393696103e-06 loss: 0.0282 (0.0323) loss_seg: 0.0308 (0.0345) loss_lansim: 0.0719 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4636 data: 0.0024 max mem: 31671 Epoch: [36] [ 770/5278] eta: 3:03:56 lr: 6.08735507236479e-06 loss: 0.0287 (0.0323) loss_seg: 0.0308 (0.0345) loss_lansim: 0.0723 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4658 data: 0.0024 max mem: 31671 Epoch: [36] [ 780/5278] eta: 3:03:32 lr: 6.084661618621721e-06 loss: 0.0291 (0.0324) loss_seg: 0.0308 (0.0346) loss_lansim: 0.0717 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4679 data: 0.0024 max mem: 31671 Epoch: [36] [ 790/5278] eta: 3:03:08 lr: 6.081968032395241e-06 loss: 0.0296 (0.0323) loss_seg: 0.0312 (0.0345) loss_lansim: 0.0719 (0.0717) loss_contra: 0.0000 (0.0008) time: 2.4665 data: 0.0024 max mem: 31671 Epoch: [36] [ 800/5278] eta: 3:02:43 lr: 6.07927431361364e-06 loss: 0.0306 (0.0323) loss_seg: 0.0319 (0.0345) loss_lansim: 0.0717 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4643 data: 0.0024 max mem: 31671 Epoch: [36] [ 810/5278] eta: 3:02:18 lr: 6.076580462205127e-06 loss: 0.0293 (0.0323) loss_seg: 0.0309 (0.0345) loss_lansim: 0.0717 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4536 data: 0.0024 max mem: 31671 Epoch: [36] [ 820/5278] eta: 3:01:54 lr: 6.073886478097843e-06 loss: 0.0293 (0.0323) loss_seg: 0.0315 (0.0345) loss_lansim: 0.0706 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4450 data: 0.0025 max mem: 31671 Epoch: [36] [ 830/5278] eta: 3:01:30 lr: 6.0711923612198365e-06 loss: 0.0293 (0.0322) loss_seg: 0.0315 (0.0344) loss_lansim: 0.0706 (0.0717) loss_contra: 0.0000 (0.0008) time: 2.4479 data: 0.0025 max mem: 31671 Epoch: [36] [ 840/5278] eta: 3:01:07 lr: 6.068498111499101e-06 loss: 0.0293 (0.0322) loss_seg: 0.0315 (0.0344) loss_lansim: 0.0706 (0.0717) loss_contra: 0.0000 (0.0008) time: 2.4488 data: 0.0024 max mem: 31671 Epoch: [36] [ 850/5278] eta: 3:00:42 lr: 6.0658037288635446e-06 loss: 0.0297 (0.0322) loss_seg: 0.0319 (0.0345) loss_lansim: 0.0716 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4498 data: 0.0024 max mem: 31671 Epoch: [36] [ 860/5278] eta: 3:00:17 lr: 6.063109213241013e-06 loss: 0.0297 (0.0324) loss_seg: 0.0319 (0.0346) loss_lansim: 0.0706 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.4537 data: 0.0024 max mem: 31671 Epoch: [36] [ 870/5278] eta: 2:59:50 lr: 6.0604145645592555e-06 loss: 0.0297 (0.0323) loss_seg: 0.0323 (0.0346) loss_lansim: 0.0706 (0.0717) loss_contra: 0.0000 (0.0010) time: 2.4451 data: 0.0024 max mem: 31671 Epoch: [36] [ 880/5278] eta: 2:59:23 lr: 6.057719782745965e-06 loss: 0.0293 (0.0323) loss_seg: 0.0319 (0.0345) loss_lansim: 0.0711 (0.0717) loss_contra: 0.0000 (0.0010) time: 2.4390 data: 0.0024 max mem: 31671 Epoch: [36] [ 890/5278] eta: 2:58:57 lr: 6.0550248677287526e-06 loss: 0.0292 (0.0322) loss_seg: 0.0319 (0.0344) loss_lansim: 0.0713 (0.0717) loss_contra: 0.0000 (0.0010) time: 2.4362 data: 0.0024 max mem: 31671 Epoch: [36] [ 900/5278] eta: 2:58:33 lr: 6.052329819435163e-06 loss: 0.0292 (0.0322) loss_seg: 0.0319 (0.0344) loss_lansim: 0.0711 (0.0716) loss_contra: 0.0000 (0.0011) time: 2.4376 data: 0.0023 max mem: 31671 Epoch: [36] [ 910/5278] eta: 2:58:07 lr: 6.049634637792643e-06 loss: 0.0297 (0.0323) loss_seg: 0.0324 (0.0345) loss_lansim: 0.0700 (0.0716) loss_contra: 0.0000 (0.0011) time: 2.4352 data: 0.0024 max mem: 31671 Epoch: [36] [ 920/5278] eta: 2:57:43 lr: 6.046939322728587e-06 loss: 0.0297 (0.0322) loss_seg: 0.0323 (0.0344) loss_lansim: 0.0698 (0.0716) loss_contra: 0.0000 (0.0011) time: 2.4347 data: 0.0023 max mem: 31671 Epoch: [36] [ 930/5278] eta: 2:57:20 lr: 6.044243874170304e-06 loss: 0.0299 (0.0322) loss_seg: 0.0325 (0.0344) loss_lansim: 0.0702 (0.0716) loss_contra: 0.0000 (0.0011) time: 2.4380 data: 0.0023 max mem: 31671 Epoch: [36] [ 940/5278] eta: 2:56:56 lr: 6.04154829204503e-06 loss: 0.0296 (0.0322) loss_seg: 0.0320 (0.0344) loss_lansim: 0.0702 (0.0716) loss_contra: 0.0000 (0.0010) time: 2.4358 data: 0.0023 max mem: 31671 Epoch: [36] [ 950/5278] eta: 2:56:30 lr: 6.038852576279928e-06 loss: 0.0296 (0.0322) loss_seg: 0.0320 (0.0344) loss_lansim: 0.0699 (0.0716) loss_contra: 0.0000 (0.0010) time: 2.4323 data: 0.0023 max mem: 31671 Epoch: [36] [ 960/5278] eta: 2:56:04 lr: 6.036156726802072e-06 loss: 0.0282 (0.0322) loss_seg: 0.0300 (0.0343) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4306 data: 0.0023 max mem: 31671 Epoch: [36] [ 970/5278] eta: 2:55:38 lr: 6.0334607435384744e-06 loss: 0.0274 (0.0321) loss_seg: 0.0291 (0.0343) loss_lansim: 0.0693 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4313 data: 0.0023 max mem: 31671 Epoch: [36] [ 980/5278] eta: 2:55:11 lr: 6.030764626416065e-06 loss: 0.0274 (0.0321) loss_seg: 0.0294 (0.0343) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4311 data: 0.0023 max mem: 31671 Epoch: [36] [ 990/5278] eta: 2:54:47 lr: 6.028068375361707e-06 loss: 0.0278 (0.0321) loss_seg: 0.0294 (0.0342) loss_lansim: 0.0693 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4345 data: 0.0023 max mem: 31671 Epoch: [36] [1000/5278] eta: 2:54:25 lr: 6.025371990302164e-06 loss: 0.0278 (0.0321) loss_seg: 0.0294 (0.0342) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4390 data: 0.0024 max mem: 31671 Epoch: [36] [1010/5278] eta: 2:54:02 lr: 6.022675471164147e-06 loss: 0.0274 (0.0320) loss_seg: 0.0289 (0.0342) loss_lansim: 0.0698 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4464 data: 0.0024 max mem: 31671 Epoch: [36] [1020/5278] eta: 2:53:38 lr: 6.01997881787428e-06 loss: 0.0278 (0.0320) loss_seg: 0.0291 (0.0342) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4467 data: 0.0023 max mem: 31671 Epoch: [36] [1030/5278] eta: 2:53:12 lr: 6.0172820303591185e-06 loss: 0.0278 (0.0321) loss_seg: 0.0295 (0.0343) loss_lansim: 0.0693 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4380 data: 0.0023 max mem: 31671 Epoch: [36] [1040/5278] eta: 2:52:50 lr: 6.014585108545122e-06 loss: 0.0292 (0.0321) loss_seg: 0.0298 (0.0343) loss_lansim: 0.0686 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4437 data: 0.0023 max mem: 31671 Epoch: [36] [1050/5278] eta: 2:52:27 lr: 6.011888052358692e-06 loss: 0.0285 (0.0320) loss_seg: 0.0295 (0.0342) loss_lansim: 0.0687 (0.0715) loss_contra: 0.0000 (0.0011) time: 2.4521 data: 0.0023 max mem: 31671 Epoch: [36] [1060/5278] eta: 2:52:01 lr: 6.009190861726145e-06 loss: 0.0292 (0.0321) loss_seg: 0.0301 (0.0343) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4497 data: 0.0023 max mem: 31671 Epoch: [36] [1070/5278] eta: 2:51:36 lr: 6.006493536573731e-06 loss: 0.0295 (0.0321) loss_seg: 0.0304 (0.0343) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4523 data: 0.0024 max mem: 31671 Epoch: [36] [1080/5278] eta: 2:51:11 lr: 6.003796076827599e-06 loss: 0.0294 (0.0321) loss_seg: 0.0302 (0.0342) loss_lansim: 0.0702 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4575 data: 0.0024 max mem: 31671 Epoch: [36] [1090/5278] eta: 2:50:46 lr: 6.001098482413842e-06 loss: 0.0296 (0.0322) loss_seg: 0.0315 (0.0343) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4556 data: 0.0024 max mem: 31671 Epoch: [36] [1100/5278] eta: 2:50:22 lr: 5.998400753258468e-06 loss: 0.0296 (0.0322) loss_seg: 0.0315 (0.0344) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4495 data: 0.0024 max mem: 31671 Epoch: [36] [1110/5278] eta: 2:50:01 lr: 5.995702889287416e-06 loss: 0.0296 (0.0322) loss_seg: 0.0315 (0.0343) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4561 data: 0.0024 max mem: 31671 Epoch: [36] [1120/5278] eta: 2:49:35 lr: 5.993004890426525e-06 loss: 0.0301 (0.0322) loss_seg: 0.0315 (0.0344) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4515 data: 0.0024 max mem: 31671 Epoch: [36] [1130/5278] eta: 2:49:11 lr: 5.990306756601577e-06 loss: 0.0306 (0.0322) loss_seg: 0.0323 (0.0344) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4587 data: 0.0024 max mem: 31671 Epoch: [36] [1140/5278] eta: 2:48:47 lr: 5.98760848773827e-06 loss: 0.0306 (0.0322) loss_seg: 0.0329 (0.0344) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4511 data: 0.0024 max mem: 31671 Epoch: [36] [1150/5278] eta: 2:48:23 lr: 5.984910083762228e-06 loss: 0.0322 (0.0322) loss_seg: 0.0334 (0.0344) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4486 data: 0.0024 max mem: 31671 Epoch: [36] [1160/5278] eta: 2:47:57 lr: 5.982211544598981e-06 loss: 0.0306 (0.0322) loss_seg: 0.0322 (0.0343) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4497 data: 0.0024 max mem: 31671 Epoch: [36] [1170/5278] eta: 2:47:31 lr: 5.979512870173996e-06 loss: 0.0322 (0.0322) loss_seg: 0.0334 (0.0344) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4477 data: 0.0024 max mem: 31671 Epoch: [36] [1180/5278] eta: 2:47:07 lr: 5.97681406041266e-06 loss: 0.0322 (0.0322) loss_seg: 0.0340 (0.0344) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4499 data: 0.0024 max mem: 31671 Epoch: [36] [1190/5278] eta: 2:46:44 lr: 5.974115115240275e-06 loss: 0.0305 (0.0321) loss_seg: 0.0318 (0.0343) loss_lansim: 0.0693 (0.0714) loss_contra: 0.0000 (0.0011) time: 2.4549 data: 0.0024 max mem: 31671 Epoch: [36] [1200/5278] eta: 2:46:19 lr: 5.971416034582077e-06 loss: 0.0291 (0.0321) loss_seg: 0.0317 (0.0343) loss_lansim: 0.0694 (0.0714) loss_contra: 0.0000 (0.0012) time: 2.4528 data: 0.0023 max mem: 31671 Epoch: [36] [1210/5278] eta: 2:45:55 lr: 5.968716818363199e-06 loss: 0.0314 (0.0321) loss_seg: 0.0319 (0.0343) loss_lansim: 0.0694 (0.0714) loss_contra: 0.0000 (0.0012) time: 2.4436 data: 0.0023 max mem: 31671 Epoch: [36] [1220/5278] eta: 2:45:32 lr: 5.966017466508718e-06 loss: 0.0290 (0.0321) loss_seg: 0.0316 (0.0343) loss_lansim: 0.0685 (0.0714) loss_contra: 0.0000 (0.0012) time: 2.4513 data: 0.0023 max mem: 31671 Epoch: [36] [1230/5278] eta: 2:45:04 lr: 5.963317978943622e-06 loss: 0.0278 (0.0320) loss_seg: 0.0298 (0.0342) loss_lansim: 0.0687 (0.0714) loss_contra: 0.0000 (0.0012) time: 2.4399 data: 0.0023 max mem: 31671 Epoch: [36] [1240/5278] eta: 2:44:41 lr: 5.960618355592828e-06 loss: 0.0263 (0.0320) loss_seg: 0.0283 (0.0342) loss_lansim: 0.0685 (0.0713) loss_contra: 0.0000 (0.0012) time: 2.4447 data: 0.0023 max mem: 31671 Epoch: [36] [1250/5278] eta: 2:44:16 lr: 5.957918596381156e-06 loss: 0.0261 (0.0320) loss_seg: 0.0283 (0.0341) loss_lansim: 0.0684 (0.0713) loss_contra: 0.0000 (0.0012) time: 2.4413 data: 0.0023 max mem: 31671 Epoch: [36] [1260/5278] eta: 2:43:53 lr: 5.955218701233362e-06 loss: 0.0272 (0.0320) loss_seg: 0.0283 (0.0342) loss_lansim: 0.0683 (0.0713) loss_contra: 0.0000 (0.0012) time: 2.4498 data: 0.0023 max mem: 31671 Epoch: [36] [1270/5278] eta: 2:43:27 lr: 5.95251867007412e-06 loss: 0.0273 (0.0320) loss_seg: 0.0294 (0.0342) loss_lansim: 0.0678 (0.0713) loss_contra: 0.0000 (0.0012) time: 2.4478 data: 0.0023 max mem: 31671 Epoch: [36] [1280/5278] eta: 2:43:03 lr: 5.949818502828026e-06 loss: 0.0286 (0.0321) loss_seg: 0.0308 (0.0343) loss_lansim: 0.0685 (0.0713) loss_contra: 0.0000 (0.0012) time: 2.4500 data: 0.0022 max mem: 31671 Epoch: [36] [1290/5278] eta: 2:42:38 lr: 5.9471181994195835e-06 loss: 0.0290 (0.0321) loss_seg: 0.0316 (0.0342) loss_lansim: 0.0687 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4435 data: 0.0022 max mem: 31671 Epoch: [36] [1300/5278] eta: 2:42:13 lr: 5.944417759773228e-06 loss: 0.0292 (0.0321) loss_seg: 0.0318 (0.0343) loss_lansim: 0.0687 (0.0713) loss_contra: 0.0000 (0.0012) time: 2.4435 data: 0.0022 max mem: 31671 Epoch: [36] [1310/5278] eta: 2:41:49 lr: 5.941717183813315e-06 loss: 0.0292 (0.0321) loss_seg: 0.0318 (0.0342) loss_lansim: 0.0697 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4432 data: 0.0022 max mem: 31671 Epoch: [36] [1320/5278] eta: 2:41:24 lr: 5.93901647146412e-06 loss: 0.0294 (0.0320) loss_seg: 0.0318 (0.0342) loss_lansim: 0.0688 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4377 data: 0.0022 max mem: 31671 Epoch: [36] [1330/5278] eta: 2:40:59 lr: 5.936315622649824e-06 loss: 0.0294 (0.0320) loss_seg: 0.0318 (0.0342) loss_lansim: 0.0691 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4453 data: 0.0022 max mem: 31671 Epoch: [36] [1340/5278] eta: 2:40:35 lr: 5.933614637294543e-06 loss: 0.0302 (0.0321) loss_seg: 0.0323 (0.0343) loss_lansim: 0.0688 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4426 data: 0.0022 max mem: 31671 Epoch: [36] [1350/5278] eta: 2:40:09 lr: 5.930913515322308e-06 loss: 0.0302 (0.0321) loss_seg: 0.0325 (0.0343) loss_lansim: 0.0701 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4382 data: 0.0022 max mem: 31671 Epoch: [36] [1360/5278] eta: 2:39:43 lr: 5.928212256657077e-06 loss: 0.0308 (0.0322) loss_seg: 0.0326 (0.0343) loss_lansim: 0.0713 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4308 data: 0.0022 max mem: 31671 Epoch: [36] [1370/5278] eta: 2:39:17 lr: 5.925510861222706e-06 loss: 0.0311 (0.0323) loss_seg: 0.0332 (0.0345) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0011) time: 2.4291 data: 0.0023 max mem: 31671 Epoch: [36] [1380/5278] eta: 2:38:53 lr: 5.9228093289429885e-06 loss: 0.0302 (0.0323) loss_seg: 0.0319 (0.0345) loss_lansim: 0.0713 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4280 data: 0.0023 max mem: 31671 Epoch: [36] [1390/5278] eta: 2:38:31 lr: 5.920107659741631e-06 loss: 0.0300 (0.0323) loss_seg: 0.0318 (0.0344) loss_lansim: 0.0697 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4365 data: 0.0023 max mem: 31671 Epoch: [36] [1400/5278] eta: 2:38:05 lr: 5.917405853542267e-06 loss: 0.0297 (0.0323) loss_seg: 0.0317 (0.0345) loss_lansim: 0.0705 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4347 data: 0.0023 max mem: 31671 Epoch: [36] [1410/5278] eta: 2:37:40 lr: 5.9147039102684284e-06 loss: 0.0300 (0.0323) loss_seg: 0.0318 (0.0345) loss_lansim: 0.0697 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4303 data: 0.0024 max mem: 31671 Epoch: [36] [1420/5278] eta: 2:37:16 lr: 5.912001829843584e-06 loss: 0.0297 (0.0323) loss_seg: 0.0318 (0.0345) loss_lansim: 0.0697 (0.0713) loss_contra: 0.0000 (0.0011) time: 2.4359 data: 0.0024 max mem: 31671 Epoch: [36] [1430/5278] eta: 2:36:52 lr: 5.909299612191113e-06 loss: 0.0300 (0.0323) loss_seg: 0.0317 (0.0344) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0011) time: 2.4385 data: 0.0024 max mem: 31671 Epoch: [36] [1440/5278] eta: 2:36:28 lr: 5.906597257234318e-06 loss: 0.0297 (0.0323) loss_seg: 0.0316 (0.0345) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0011) time: 2.4375 data: 0.0025 max mem: 31671 Epoch: [36] [1450/5278] eta: 2:36:02 lr: 5.903894764896421e-06 loss: 0.0305 (0.0323) loss_seg: 0.0316 (0.0345) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0011) time: 2.4385 data: 0.0025 max mem: 31671 Epoch: [36] [1460/5278] eta: 2:35:39 lr: 5.9011921351005465e-06 loss: 0.0305 (0.0323) loss_seg: 0.0316 (0.0345) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0011) time: 2.4456 data: 0.0024 max mem: 31671 Epoch: [36] [1470/5278] eta: 2:35:14 lr: 5.898489367769753e-06 loss: 0.0297 (0.0323) loss_seg: 0.0306 (0.0345) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0011) time: 2.4508 data: 0.0024 max mem: 31671 Epoch: [36] [1480/5278] eta: 2:34:50 lr: 5.895786462827011e-06 loss: 0.0305 (0.0323) loss_seg: 0.0313 (0.0345) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4490 data: 0.0024 max mem: 31671 Epoch: [36] [1490/5278] eta: 2:34:26 lr: 5.893083420195219e-06 loss: 0.0315 (0.0323) loss_seg: 0.0317 (0.0345) loss_lansim: 0.0715 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4453 data: 0.0024 max mem: 31671 Epoch: [36] [1500/5278] eta: 2:34:01 lr: 5.890380239797167e-06 loss: 0.0324 (0.0323) loss_seg: 0.0325 (0.0345) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4473 data: 0.0024 max mem: 31671 Epoch: [36] [1510/5278] eta: 2:33:36 lr: 5.887676921555587e-06 loss: 0.0310 (0.0323) loss_seg: 0.0316 (0.0345) loss_lansim: 0.0723 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4479 data: 0.0024 max mem: 31671 Epoch: [36] [1520/5278] eta: 2:33:11 lr: 5.8849734653931175e-06 loss: 0.0306 (0.0323) loss_seg: 0.0312 (0.0345) loss_lansim: 0.0723 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4426 data: 0.0023 max mem: 31671 Epoch: [36] [1530/5278] eta: 2:32:48 lr: 5.882269871232325e-06 loss: 0.0308 (0.0323) loss_seg: 0.0316 (0.0344) loss_lansim: 0.0722 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4467 data: 0.0023 max mem: 31671 Epoch: [36] [1540/5278] eta: 2:32:24 lr: 5.879566138995671e-06 loss: 0.0306 (0.0323) loss_seg: 0.0315 (0.0344) loss_lansim: 0.0720 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4495 data: 0.0023 max mem: 31671 Epoch: [36] [1550/5278] eta: 2:32:00 lr: 5.876862268605554e-06 loss: 0.0305 (0.0323) loss_seg: 0.0315 (0.0344) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4547 data: 0.0023 max mem: 31671 Epoch: [36] [1560/5278] eta: 2:31:34 lr: 5.874158259984281e-06 loss: 0.0304 (0.0322) loss_seg: 0.0318 (0.0344) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4451 data: 0.0023 max mem: 31671 Epoch: [36] [1570/5278] eta: 2:31:08 lr: 5.871454113054084e-06 loss: 0.0308 (0.0323) loss_seg: 0.0329 (0.0344) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4426 data: 0.0023 max mem: 31671 Epoch: [36] [1580/5278] eta: 2:30:44 lr: 5.868749827737092e-06 loss: 0.0304 (0.0323) loss_seg: 0.0329 (0.0344) loss_lansim: 0.0708 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4424 data: 0.0024 max mem: 31671 Epoch: [36] [1590/5278] eta: 2:30:18 lr: 5.8660454039553675e-06 loss: 0.0289 (0.0323) loss_seg: 0.0311 (0.0344) loss_lansim: 0.0714 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4326 data: 0.0024 max mem: 31671 Epoch: [36] [1600/5278] eta: 2:29:55 lr: 5.863340841630886e-06 loss: 0.0288 (0.0323) loss_seg: 0.0304 (0.0344) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4385 data: 0.0024 max mem: 31671 Epoch: [36] [1610/5278] eta: 2:29:32 lr: 5.860636140685542e-06 loss: 0.0285 (0.0322) loss_seg: 0.0294 (0.0344) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4502 data: 0.0024 max mem: 31671 Epoch: [36] [1620/5278] eta: 2:29:08 lr: 5.85793130104113e-06 loss: 0.0289 (0.0322) loss_seg: 0.0311 (0.0344) loss_lansim: 0.0711 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4548 data: 0.0024 max mem: 31671 Epoch: [36] [1630/5278] eta: 2:28:44 lr: 5.855226322619376e-06 loss: 0.0288 (0.0322) loss_seg: 0.0312 (0.0344) loss_lansim: 0.0708 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4510 data: 0.0023 max mem: 31671 Epoch: [36] [1640/5278] eta: 2:28:18 lr: 5.852521205341918e-06 loss: 0.0289 (0.0322) loss_seg: 0.0316 (0.0344) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4405 data: 0.0023 max mem: 31671 Epoch: [36] [1650/5278] eta: 2:27:56 lr: 5.849815949130314e-06 loss: 0.0290 (0.0322) loss_seg: 0.0316 (0.0344) loss_lansim: 0.0722 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4490 data: 0.0023 max mem: 31671 Epoch: [36] [1660/5278] eta: 2:27:31 lr: 5.84711055390602e-06 loss: 0.0288 (0.0322) loss_seg: 0.0306 (0.0344) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4548 data: 0.0023 max mem: 31671 Epoch: [36] [1670/5278] eta: 2:27:06 lr: 5.844405019590426e-06 loss: 0.0284 (0.0322) loss_seg: 0.0305 (0.0344) loss_lansim: 0.0711 (0.0715) loss_contra: 0.0000 (0.0010) time: 2.4545 data: 0.0023 max mem: 31671 Epoch: [36] [1680/5278] eta: 2:26:40 lr: 5.841699346104828e-06 loss: 0.0279 (0.0322) loss_seg: 0.0302 (0.0343) loss_lansim: 0.0703 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4480 data: 0.0023 max mem: 31671 Epoch: [36] [1690/5278] eta: 2:26:14 lr: 5.838993533370441e-06 loss: 0.0286 (0.0322) loss_seg: 0.0306 (0.0343) loss_lansim: 0.0688 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4484 data: 0.0023 max mem: 31671 Epoch: [36] [1700/5278] eta: 2:25:51 lr: 5.836287581308398e-06 loss: 0.0286 (0.0322) loss_seg: 0.0312 (0.0344) loss_lansim: 0.0687 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4496 data: 0.0024 max mem: 31671 Epoch: [36] [1710/5278] eta: 2:25:28 lr: 5.8335814898397286e-06 loss: 0.0286 (0.0322) loss_seg: 0.0312 (0.0344) loss_lansim: 0.0687 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4467 data: 0.0024 max mem: 31671 Epoch: [36] [1720/5278] eta: 2:25:04 lr: 5.830875258885398e-06 loss: 0.0286 (0.0322) loss_seg: 0.0312 (0.0344) loss_lansim: 0.0687 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.4477 data: 0.0024 max mem: 31671 Epoch: [36] [1730/5278] eta: 2:24:39 lr: 5.828168888366276e-06 loss: 0.0280 (0.0322) loss_seg: 0.0303 (0.0344) loss_lansim: 0.0687 (0.0713) loss_contra: 0.0000 (0.0010) time: 2.4425 data: 0.0024 max mem: 31671 Epoch: [36] [1740/5278] eta: 2:24:14 lr: 5.825462378203154e-06 loss: 0.0278 (0.0322) loss_seg: 0.0303 (0.0344) loss_lansim: 0.0686 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4480 data: 0.0024 max mem: 31671 Epoch: [36] [1750/5278] eta: 2:23:51 lr: 5.8227557283167224e-06 loss: 0.0280 (0.0322) loss_seg: 0.0306 (0.0344) loss_lansim: 0.0686 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4473 data: 0.0024 max mem: 31671 Epoch: [36] [1760/5278] eta: 2:23:27 lr: 5.820048938627598e-06 loss: 0.0286 (0.0322) loss_seg: 0.0313 (0.0344) loss_lansim: 0.0690 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4499 data: 0.0024 max mem: 31671 Epoch: [36] [1770/5278] eta: 2:23:03 lr: 5.817342009056309e-06 loss: 0.0288 (0.0322) loss_seg: 0.0306 (0.0344) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4555 data: 0.0024 max mem: 31671 Epoch: [36] [1780/5278] eta: 2:22:39 lr: 5.814634939523304e-06 loss: 0.0288 (0.0322) loss_seg: 0.0314 (0.0344) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4619 data: 0.0024 max mem: 31671 Epoch: [36] [1790/5278] eta: 2:22:18 lr: 5.8119277299489246e-06 loss: 0.0282 (0.0322) loss_seg: 0.0303 (0.0343) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4889 data: 0.0024 max mem: 31671 Epoch: [36] [1800/5278] eta: 2:22:00 lr: 5.809220380253446e-06 loss: 0.0287 (0.0322) loss_seg: 0.0303 (0.0343) loss_lansim: 0.0701 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5170 data: 0.0024 max mem: 31671 Epoch: [36] [1810/5278] eta: 2:21:40 lr: 5.80651289035705e-06 loss: 0.0290 (0.0322) loss_seg: 0.0308 (0.0343) loss_lansim: 0.0702 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5327 data: 0.0024 max mem: 31671 Epoch: [36] [1820/5278] eta: 2:21:20 lr: 5.803805260179837e-06 loss: 0.0286 (0.0321) loss_seg: 0.0298 (0.0343) loss_lansim: 0.0704 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5567 data: 0.0025 max mem: 31671 Epoch: [36] [1830/5278] eta: 2:21:01 lr: 5.801097489641803e-06 loss: 0.0290 (0.0321) loss_seg: 0.0304 (0.0343) loss_lansim: 0.0704 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5878 data: 0.0025 max mem: 31671 Epoch: [36] [1840/5278] eta: 2:20:41 lr: 5.798389578662875e-06 loss: 0.0289 (0.0321) loss_seg: 0.0304 (0.0343) loss_lansim: 0.0701 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6140 data: 0.0025 max mem: 31671 Epoch: [36] [1850/5278] eta: 2:20:24 lr: 5.795681527162885e-06 loss: 0.0285 (0.0321) loss_seg: 0.0291 (0.0342) loss_lansim: 0.0702 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6504 data: 0.0026 max mem: 31671 Epoch: [36] [1860/5278] eta: 2:20:03 lr: 5.792973335061586e-06 loss: 0.0287 (0.0321) loss_seg: 0.0303 (0.0343) loss_lansim: 0.0688 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6694 data: 0.0027 max mem: 31671 Epoch: [36] [1870/5278] eta: 2:19:44 lr: 5.790265002278626e-06 loss: 0.0287 (0.0321) loss_seg: 0.0298 (0.0342) loss_lansim: 0.0686 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6980 data: 0.0027 max mem: 31671 Epoch: [36] [1880/5278] eta: 2:19:26 lr: 5.787556528733579e-06 loss: 0.0288 (0.0321) loss_seg: 0.0298 (0.0343) loss_lansim: 0.0689 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7341 data: 0.0027 max mem: 31671 Epoch: [36] [1890/5278] eta: 2:19:04 lr: 5.784847914345929e-06 loss: 0.0295 (0.0321) loss_seg: 0.0315 (0.0343) loss_lansim: 0.0700 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7301 data: 0.0028 max mem: 31671 Epoch: [36] [1900/5278] eta: 2:18:42 lr: 5.782139159035072e-06 loss: 0.0289 (0.0321) loss_seg: 0.0313 (0.0343) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7129 data: 0.0028 max mem: 31671 Epoch: [36] [1910/5278] eta: 2:18:22 lr: 5.779430262720319e-06 loss: 0.0289 (0.0321) loss_seg: 0.0313 (0.0343) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7225 data: 0.0028 max mem: 31671 Epoch: [36] [1920/5278] eta: 2:18:04 lr: 5.7767212253208784e-06 loss: 0.0304 (0.0321) loss_seg: 0.0315 (0.0343) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7331 data: 0.0028 max mem: 31671 Epoch: [36] [1930/5278] eta: 2:17:44 lr: 5.774012046755886e-06 loss: 0.0306 (0.0321) loss_seg: 0.0316 (0.0343) loss_lansim: 0.0701 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7363 data: 0.0028 max mem: 31671 Epoch: [36] [1940/5278] eta: 2:17:23 lr: 5.7713027269443825e-06 loss: 0.0320 (0.0321) loss_seg: 0.0336 (0.0343) loss_lansim: 0.0704 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7337 data: 0.0027 max mem: 31671 Epoch: [36] [1950/5278] eta: 2:17:02 lr: 5.768593265805328e-06 loss: 0.0330 (0.0322) loss_seg: 0.0358 (0.0343) loss_lansim: 0.0724 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7146 data: 0.0027 max mem: 31671 Epoch: [36] [1960/5278] eta: 2:16:42 lr: 5.765883663257574e-06 loss: 0.0322 (0.0321) loss_seg: 0.0352 (0.0343) loss_lansim: 0.0731 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7229 data: 0.0027 max mem: 31671 Epoch: [36] [1970/5278] eta: 2:16:22 lr: 5.7631739192199025e-06 loss: 0.0322 (0.0321) loss_seg: 0.0351 (0.0343) loss_lansim: 0.0731 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7252 data: 0.0027 max mem: 31671 Epoch: [36] [1980/5278] eta: 2:16:05 lr: 5.760464033610999e-06 loss: 0.0321 (0.0321) loss_seg: 0.0351 (0.0343) loss_lansim: 0.0726 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7333 data: 0.0027 max mem: 31671 Epoch: [36] [1990/5278] eta: 2:15:42 lr: 5.757754006349466e-06 loss: 0.0290 (0.0321) loss_seg: 0.0315 (0.0343) loss_lansim: 0.0725 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7329 data: 0.0026 max mem: 31671 Epoch: [36] [2000/5278] eta: 2:15:20 lr: 5.755043837353799e-06 loss: 0.0291 (0.0321) loss_seg: 0.0316 (0.0342) loss_lansim: 0.0730 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.7361 data: 0.0026 max mem: 31671 Epoch: [36] [2010/5278] eta: 2:14:59 lr: 5.752333526542421e-06 loss: 0.0290 (0.0320) loss_seg: 0.0315 (0.0342) loss_lansim: 0.0726 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7297 data: 0.0026 max mem: 31671 Epoch: [36] [2020/5278] eta: 2:14:38 lr: 5.7496230738336635e-06 loss: 0.0291 (0.0321) loss_seg: 0.0315 (0.0342) loss_lansim: 0.0730 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.7186 data: 0.0026 max mem: 31671 Epoch: [36] [2030/5278] eta: 2:14:16 lr: 5.746912479145767e-06 loss: 0.0292 (0.0321) loss_seg: 0.0315 (0.0342) loss_lansim: 0.0716 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7089 data: 0.0026 max mem: 31671 Epoch: [36] [2040/5278] eta: 2:13:54 lr: 5.74420174239687e-06 loss: 0.0291 (0.0321) loss_seg: 0.0314 (0.0342) loss_lansim: 0.0710 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7052 data: 0.0026 max mem: 31671 Epoch: [36] [2050/5278] eta: 2:13:34 lr: 5.741490863505035e-06 loss: 0.0285 (0.0320) loss_seg: 0.0303 (0.0342) loss_lansim: 0.0710 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7171 data: 0.0027 max mem: 31671 Epoch: [36] [2060/5278] eta: 2:13:19 lr: 5.738779842388233e-06 loss: 0.0285 (0.0320) loss_seg: 0.0305 (0.0342) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.7512 data: 0.0027 max mem: 31671 Epoch: [36] [2070/5278] eta: 2:12:59 lr: 5.736068678964344e-06 loss: 0.0283 (0.0320) loss_seg: 0.0300 (0.0342) loss_lansim: 0.0710 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7560 data: 0.0027 max mem: 31671 Epoch: [36] [2080/5278] eta: 2:12:37 lr: 5.733357373151144e-06 loss: 0.0285 (0.0320) loss_seg: 0.0305 (0.0342) loss_lansim: 0.0713 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7385 data: 0.0027 max mem: 31671 Epoch: [36] [2090/5278] eta: 2:12:15 lr: 5.730645924866337e-06 loss: 0.0293 (0.0320) loss_seg: 0.0311 (0.0342) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7456 data: 0.0027 max mem: 31671 Epoch: [36] [2100/5278] eta: 2:11:54 lr: 5.727934334027526e-06 loss: 0.0293 (0.0320) loss_seg: 0.0312 (0.0342) loss_lansim: 0.0699 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7511 data: 0.0027 max mem: 31671 Epoch: [36] [2110/5278] eta: 2:11:33 lr: 5.725222600552232e-06 loss: 0.0305 (0.0321) loss_seg: 0.0322 (0.0342) loss_lansim: 0.0696 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7602 data: 0.0027 max mem: 31671 Epoch: [36] [2120/5278] eta: 2:11:17 lr: 5.722510724357867e-06 loss: 0.0298 (0.0320) loss_seg: 0.0316 (0.0342) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7985 data: 0.0027 max mem: 31671 Epoch: [36] [2130/5278] eta: 2:10:55 lr: 5.719798705361768e-06 loss: 0.0293 (0.0320) loss_seg: 0.0311 (0.0342) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8016 data: 0.0028 max mem: 31671 Epoch: [36] [2140/5278] eta: 2:10:36 lr: 5.717086543481176e-06 loss: 0.0293 (0.0320) loss_seg: 0.0310 (0.0342) loss_lansim: 0.0696 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8287 data: 0.0028 max mem: 31671 Epoch: [36] [2150/5278] eta: 2:10:20 lr: 5.714374238633239e-06 loss: 0.0300 (0.0321) loss_seg: 0.0322 (0.0342) loss_lansim: 0.0699 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8534 data: 0.0028 max mem: 31671 Epoch: [36] [2160/5278] eta: 2:10:01 lr: 5.711661790735021e-06 loss: 0.0305 (0.0321) loss_seg: 0.0327 (0.0342) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8419 data: 0.0028 max mem: 31671 Epoch: [36] [2170/5278] eta: 2:09:43 lr: 5.7089491997034735e-06 loss: 0.0305 (0.0320) loss_seg: 0.0322 (0.0342) loss_lansim: 0.0696 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8594 data: 0.0029 max mem: 31671 Epoch: [36] [2180/5278] eta: 2:09:22 lr: 5.706236465455477e-06 loss: 0.0298 (0.0320) loss_seg: 0.0310 (0.0342) loss_lansim: 0.0696 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8675 data: 0.0029 max mem: 31671 Epoch: [36] [2190/5278] eta: 2:09:01 lr: 5.703523587907811e-06 loss: 0.0300 (0.0320) loss_seg: 0.0317 (0.0342) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8740 data: 0.0030 max mem: 31671 Epoch: [36] [2200/5278] eta: 2:08:39 lr: 5.700810566977171e-06 loss: 0.0293 (0.0320) loss_seg: 0.0310 (0.0342) loss_lansim: 0.0701 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8810 data: 0.0029 max mem: 31671 Epoch: [36] [2210/5278] eta: 2:08:18 lr: 5.69809740258014e-06 loss: 0.0289 (0.0320) loss_seg: 0.0308 (0.0342) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8837 data: 0.0029 max mem: 31671 Epoch: [36] [2220/5278] eta: 2:07:55 lr: 5.695384094633228e-06 loss: 0.0289 (0.0320) loss_seg: 0.0308 (0.0342) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8332 data: 0.0029 max mem: 31671 Epoch: [36] [2230/5278] eta: 2:07:32 lr: 5.6926706430528464e-06 loss: 0.0284 (0.0320) loss_seg: 0.0302 (0.0342) loss_lansim: 0.0708 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8316 data: 0.0029 max mem: 31671 Epoch: [36] [2240/5278] eta: 2:07:10 lr: 5.689957047755317e-06 loss: 0.0275 (0.0320) loss_seg: 0.0293 (0.0341) loss_lansim: 0.0709 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8179 data: 0.0029 max mem: 31671 Epoch: [36] [2250/5278] eta: 2:06:48 lr: 5.687243308656852e-06 loss: 0.0266 (0.0320) loss_seg: 0.0289 (0.0341) loss_lansim: 0.0704 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7861 data: 0.0028 max mem: 31671 Epoch: [36] [2260/5278] eta: 2:06:25 lr: 5.684529425673589e-06 loss: 0.0271 (0.0320) loss_seg: 0.0289 (0.0341) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7566 data: 0.0028 max mem: 31671 Epoch: [36] [2270/5278] eta: 2:06:01 lr: 5.681815398721567e-06 loss: 0.0271 (0.0320) loss_seg: 0.0289 (0.0341) loss_lansim: 0.0699 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7140 data: 0.0027 max mem: 31671 Epoch: [36] [2280/5278] eta: 2:05:41 lr: 5.679101227716735e-06 loss: 0.0271 (0.0320) loss_seg: 0.0289 (0.0341) loss_lansim: 0.0695 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7245 data: 0.0027 max mem: 31671 Epoch: [36] [2290/5278] eta: 2:05:22 lr: 5.676386912574929e-06 loss: 0.0271 (0.0320) loss_seg: 0.0289 (0.0341) loss_lansim: 0.0693 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7522 data: 0.0027 max mem: 31671 Epoch: [36] [2300/5278] eta: 2:05:04 lr: 5.6736724532119136e-06 loss: 0.0271 (0.0319) loss_seg: 0.0289 (0.0341) loss_lansim: 0.0693 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7822 data: 0.0028 max mem: 31671 Epoch: [36] [2310/5278] eta: 2:04:44 lr: 5.670957849543352e-06 loss: 0.0264 (0.0319) loss_seg: 0.0279 (0.0341) loss_lansim: 0.0689 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7914 data: 0.0028 max mem: 31671 Epoch: [36] [2320/5278] eta: 2:04:23 lr: 5.668243101484817e-06 loss: 0.0271 (0.0319) loss_seg: 0.0284 (0.0341) loss_lansim: 0.0690 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8173 data: 0.0028 max mem: 31671 Epoch: [36] [2330/5278] eta: 2:04:01 lr: 5.66552820895177e-06 loss: 0.0278 (0.0319) loss_seg: 0.0303 (0.0341) loss_lansim: 0.0695 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8287 data: 0.0028 max mem: 31671 Epoch: [36] [2340/5278] eta: 2:03:39 lr: 5.6628131718595985e-06 loss: 0.0282 (0.0319) loss_seg: 0.0307 (0.0341) loss_lansim: 0.0690 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8284 data: 0.0028 max mem: 31671 Epoch: [36] [2350/5278] eta: 2:03:18 lr: 5.660097990123584e-06 loss: 0.0288 (0.0319) loss_seg: 0.0303 (0.0341) loss_lansim: 0.0695 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8477 data: 0.0028 max mem: 31671 Epoch: [36] [2360/5278] eta: 2:02:56 lr: 5.6573826636589244e-06 loss: 0.0291 (0.0319) loss_seg: 0.0311 (0.0341) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8525 data: 0.0028 max mem: 31671 Epoch: [36] [2370/5278] eta: 2:02:32 lr: 5.654667192380702e-06 loss: 0.0293 (0.0319) loss_seg: 0.0320 (0.0341) loss_lansim: 0.0694 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8637 data: 0.0028 max mem: 31671 Epoch: [36] [2380/5278] eta: 2:02:09 lr: 5.6519515762039214e-06 loss: 0.0299 (0.0319) loss_seg: 0.0320 (0.0341) loss_lansim: 0.0694 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8423 data: 0.0027 max mem: 31671 Epoch: [36] [2390/5278] eta: 2:01:47 lr: 5.649235815043489e-06 loss: 0.0299 (0.0319) loss_seg: 0.0320 (0.0341) loss_lansim: 0.0694 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.8192 data: 0.0028 max mem: 31671 Epoch: [36] [2400/5278] eta: 2:01:23 lr: 5.646519908814212e-06 loss: 0.0297 (0.0319) loss_seg: 0.0320 (0.0341) loss_lansim: 0.0689 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7803 data: 0.0027 max mem: 31671 Epoch: [36] [2410/5278] eta: 2:01:00 lr: 5.64380385743081e-06 loss: 0.0299 (0.0320) loss_seg: 0.0322 (0.0341) loss_lansim: 0.0689 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7575 data: 0.0028 max mem: 31671 Epoch: [36] [2420/5278] eta: 2:00:36 lr: 5.64108766080789e-06 loss: 0.0293 (0.0320) loss_seg: 0.0316 (0.0341) loss_lansim: 0.0687 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7403 data: 0.0027 max mem: 31671 Epoch: [36] [2430/5278] eta: 2:00:13 lr: 5.638371318859977e-06 loss: 0.0292 (0.0319) loss_seg: 0.0311 (0.0341) loss_lansim: 0.0684 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7311 data: 0.0027 max mem: 31671 Epoch: [36] [2440/5278] eta: 1:59:50 lr: 5.635654831501497e-06 loss: 0.0292 (0.0319) loss_seg: 0.0312 (0.0341) loss_lansim: 0.0686 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7288 data: 0.0028 max mem: 31671 Epoch: [36] [2450/5278] eta: 1:59:26 lr: 5.632938198646788e-06 loss: 0.0292 (0.0319) loss_seg: 0.0311 (0.0341) loss_lansim: 0.0684 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7005 data: 0.0027 max mem: 31671 Epoch: [36] [2460/5278] eta: 1:59:01 lr: 5.630221420210068e-06 loss: 0.0284 (0.0319) loss_seg: 0.0306 (0.0341) loss_lansim: 0.0684 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6898 data: 0.0027 max mem: 31671 Epoch: [36] [2470/5278] eta: 1:58:37 lr: 5.6275044961054794e-06 loss: 0.0280 (0.0319) loss_seg: 0.0301 (0.0340) loss_lansim: 0.0684 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6837 data: 0.0027 max mem: 31671 Epoch: [36] [2480/5278] eta: 1:58:14 lr: 5.6247874262470616e-06 loss: 0.0279 (0.0319) loss_seg: 0.0298 (0.0341) loss_lansim: 0.0688 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6880 data: 0.0027 max mem: 31671 Epoch: [36] [2490/5278] eta: 1:57:51 lr: 5.622070210548766e-06 loss: 0.0279 (0.0319) loss_seg: 0.0295 (0.0341) loss_lansim: 0.0701 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6848 data: 0.0026 max mem: 31671 Epoch: [36] [2500/5278] eta: 1:57:28 lr: 5.619352848924422e-06 loss: 0.0272 (0.0319) loss_seg: 0.0295 (0.0340) loss_lansim: 0.0699 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6932 data: 0.0026 max mem: 31671 Epoch: [36] [2510/5278] eta: 1:57:04 lr: 5.616635341287786e-06 loss: 0.0279 (0.0319) loss_seg: 0.0295 (0.0340) loss_lansim: 0.0699 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6861 data: 0.0026 max mem: 31671 Epoch: [36] [2520/5278] eta: 1:56:41 lr: 5.6139176875525095e-06 loss: 0.0272 (0.0319) loss_seg: 0.0295 (0.0340) loss_lansim: 0.0701 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6972 data: 0.0026 max mem: 31671 Epoch: [36] [2530/5278] eta: 1:56:18 lr: 5.611199887632152e-06 loss: 0.0278 (0.0318) loss_seg: 0.0295 (0.0340) loss_lansim: 0.0703 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6996 data: 0.0026 max mem: 31671 Epoch: [36] [2540/5278] eta: 1:55:53 lr: 5.608481941440156e-06 loss: 0.0282 (0.0319) loss_seg: 0.0305 (0.0340) loss_lansim: 0.0703 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6862 data: 0.0026 max mem: 31671 Epoch: [36] [2550/5278] eta: 1:55:26 lr: 5.605763848889886e-06 loss: 0.0281 (0.0318) loss_seg: 0.0305 (0.0340) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6640 data: 0.0026 max mem: 31671 Epoch: [36] [2560/5278] eta: 1:55:01 lr: 5.603045609894602e-06 loss: 0.0281 (0.0318) loss_seg: 0.0305 (0.0340) loss_lansim: 0.0712 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6524 data: 0.0026 max mem: 31671 Epoch: [36] [2570/5278] eta: 1:54:36 lr: 5.600327224367471e-06 loss: 0.0294 (0.0318) loss_seg: 0.0316 (0.0340) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6570 data: 0.0026 max mem: 31671 Epoch: [36] [2580/5278] eta: 1:54:12 lr: 5.597608692221544e-06 loss: 0.0296 (0.0319) loss_seg: 0.0321 (0.0340) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6450 data: 0.0026 max mem: 31671 Epoch: [36] [2590/5278] eta: 1:53:46 lr: 5.594890013369792e-06 loss: 0.0296 (0.0319) loss_seg: 0.0321 (0.0340) loss_lansim: 0.0705 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6169 data: 0.0026 max mem: 31671 Epoch: [36] [2600/5278] eta: 1:53:20 lr: 5.592171187725083e-06 loss: 0.0294 (0.0319) loss_seg: 0.0318 (0.0340) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.5950 data: 0.0026 max mem: 31671 Epoch: [36] [2610/5278] eta: 1:52:55 lr: 5.589452215200188e-06 loss: 0.0295 (0.0319) loss_seg: 0.0319 (0.0340) loss_lansim: 0.0705 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5842 data: 0.0025 max mem: 31671 Epoch: [36] [2620/5278] eta: 1:52:30 lr: 5.586733095707764e-06 loss: 0.0295 (0.0319) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0704 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5665 data: 0.0025 max mem: 31671 Epoch: [36] [2630/5278] eta: 1:52:06 lr: 5.584013829160385e-06 loss: 0.0298 (0.0319) loss_seg: 0.0321 (0.0340) loss_lansim: 0.0703 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5602 data: 0.0025 max mem: 31671 Epoch: [36] [2640/5278] eta: 1:51:41 lr: 5.581294415470522e-06 loss: 0.0294 (0.0319) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0703 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5588 data: 0.0025 max mem: 31671 Epoch: [36] [2650/5278] eta: 1:51:15 lr: 5.578574854550544e-06 loss: 0.0298 (0.0319) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0693 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5692 data: 0.0025 max mem: 31671 Epoch: [36] [2660/5278] eta: 1:50:50 lr: 5.57585514631273e-06 loss: 0.0295 (0.0319) loss_seg: 0.0319 (0.0340) loss_lansim: 0.0687 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5733 data: 0.0025 max mem: 31671 Epoch: [36] [2670/5278] eta: 1:50:25 lr: 5.573135290669234e-06 loss: 0.0294 (0.0319) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5667 data: 0.0025 max mem: 31671 Epoch: [36] [2680/5278] eta: 1:50:00 lr: 5.570415287532137e-06 loss: 0.0292 (0.0319) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5653 data: 0.0025 max mem: 31671 Epoch: [36] [2690/5278] eta: 1:49:35 lr: 5.567695136813406e-06 loss: 0.0290 (0.0319) loss_seg: 0.0307 (0.0340) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [36] [2700/5278] eta: 1:49:10 lr: 5.56497483842492e-06 loss: 0.0292 (0.0319) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0689 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5735 data: 0.0025 max mem: 31671 Epoch: [36] [2710/5278] eta: 1:48:45 lr: 5.562254392278434e-06 loss: 0.0288 (0.0318) loss_seg: 0.0306 (0.0340) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5808 data: 0.0025 max mem: 31671 Epoch: [36] [2720/5278] eta: 1:48:19 lr: 5.5595337982856245e-06 loss: 0.0287 (0.0318) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0700 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5719 data: 0.0026 max mem: 31671 Epoch: [36] [2730/5278] eta: 1:47:54 lr: 5.5568130563580584e-06 loss: 0.0279 (0.0318) loss_seg: 0.0292 (0.0340) loss_lansim: 0.0700 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5598 data: 0.0025 max mem: 31671 Epoch: [36] [2740/5278] eta: 1:47:27 lr: 5.55409216640721e-06 loss: 0.0281 (0.0318) loss_seg: 0.0293 (0.0340) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5404 data: 0.0025 max mem: 31671 Epoch: [36] [2750/5278] eta: 1:46:59 lr: 5.551371128344432e-06 loss: 0.0274 (0.0318) loss_seg: 0.0292 (0.0340) loss_lansim: 0.0711 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5201 data: 0.0025 max mem: 31671 Epoch: [36] [2760/5278] eta: 1:46:33 lr: 5.548649942080994e-06 loss: 0.0274 (0.0318) loss_seg: 0.0292 (0.0340) loss_lansim: 0.0703 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.5100 data: 0.0025 max mem: 31671 Epoch: [36] [2770/5278] eta: 1:46:07 lr: 5.54592860752806e-06 loss: 0.0279 (0.0319) loss_seg: 0.0292 (0.0340) loss_lansim: 0.0697 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4915 data: 0.0025 max mem: 31671 Epoch: [36] [2780/5278] eta: 1:45:40 lr: 5.543207124596696e-06 loss: 0.0281 (0.0319) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0706 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4754 data: 0.0024 max mem: 31671 Epoch: [36] [2790/5278] eta: 1:45:14 lr: 5.54048549319785e-06 loss: 0.0281 (0.0319) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0711 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4605 data: 0.0024 max mem: 31671 Epoch: [36] [2800/5278] eta: 1:44:47 lr: 5.537763713242386e-06 loss: 0.0284 (0.0319) loss_seg: 0.0299 (0.0340) loss_lansim: 0.0706 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4492 data: 0.0024 max mem: 31671 Epoch: [36] [2810/5278] eta: 1:44:21 lr: 5.535041784641057e-06 loss: 0.0284 (0.0319) loss_seg: 0.0299 (0.0340) loss_lansim: 0.0706 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4388 data: 0.0024 max mem: 31671 Epoch: [36] [2820/5278] eta: 1:43:56 lr: 5.532319707304522e-06 loss: 0.0287 (0.0319) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0706 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4352 data: 0.0023 max mem: 31671 Epoch: [36] [2830/5278] eta: 1:43:30 lr: 5.52959748114332e-06 loss: 0.0286 (0.0319) loss_seg: 0.0308 (0.0340) loss_lansim: 0.0702 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4340 data: 0.0023 max mem: 31671 Epoch: [36] [2840/5278] eta: 1:43:03 lr: 5.526875106067902e-06 loss: 0.0287 (0.0319) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0701 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4319 data: 0.0023 max mem: 31671 Epoch: [36] [2850/5278] eta: 1:42:38 lr: 5.524152581988614e-06 loss: 0.0286 (0.0318) loss_seg: 0.0309 (0.0340) loss_lansim: 0.0686 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4497 data: 0.0023 max mem: 31671 Epoch: [36] [2860/5278] eta: 1:42:12 lr: 5.521429908815703e-06 loss: 0.0286 (0.0318) loss_seg: 0.0309 (0.0340) loss_lansim: 0.0693 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4470 data: 0.0023 max mem: 31671 Epoch: [36] [2870/5278] eta: 1:41:45 lr: 5.518707086459293e-06 loss: 0.0301 (0.0319) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0693 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4498 data: 0.0023 max mem: 31671 Epoch: [36] [2880/5278] eta: 1:41:19 lr: 5.515984114829427e-06 loss: 0.0301 (0.0319) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0686 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4432 data: 0.0023 max mem: 31671 Epoch: [36] [2890/5278] eta: 1:40:53 lr: 5.513260993836034e-06 loss: 0.0309 (0.0319) loss_seg: 0.0326 (0.0340) loss_lansim: 0.0693 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4552 data: 0.0022 max mem: 31671 Epoch: [36] [2900/5278] eta: 1:40:27 lr: 5.510537723388941e-06 loss: 0.0309 (0.0319) loss_seg: 0.0313 (0.0340) loss_lansim: 0.0693 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4524 data: 0.0023 max mem: 31671 Epoch: [36] [2910/5278] eta: 1:40:01 lr: 5.507814303397877e-06 loss: 0.0309 (0.0319) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0682 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4524 data: 0.0023 max mem: 31671 Epoch: [36] [2920/5278] eta: 1:39:34 lr: 5.505090733772449e-06 loss: 0.0309 (0.0319) loss_seg: 0.0327 (0.0340) loss_lansim: 0.0683 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4389 data: 0.0023 max mem: 31671 Epoch: [36] [2930/5278] eta: 1:39:08 lr: 5.502367014422177e-06 loss: 0.0305 (0.0319) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0700 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4316 data: 0.0023 max mem: 31671 Epoch: [36] [2940/5278] eta: 1:38:42 lr: 5.499643145256472e-06 loss: 0.0297 (0.0318) loss_seg: 0.0311 (0.0340) loss_lansim: 0.0684 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4421 data: 0.0023 max mem: 31671 Epoch: [36] [2950/5278] eta: 1:38:16 lr: 5.496919126184645e-06 loss: 0.0309 (0.0319) loss_seg: 0.0327 (0.0340) loss_lansim: 0.0700 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4301 data: 0.0023 max mem: 31671 Epoch: [36] [2960/5278] eta: 1:37:50 lr: 5.494194957115882e-06 loss: 0.0310 (0.0319) loss_seg: 0.0327 (0.0340) loss_lansim: 0.0700 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4344 data: 0.0024 max mem: 31671 Epoch: [36] [2970/5278] eta: 1:37:24 lr: 5.491470637959287e-06 loss: 0.0298 (0.0319) loss_seg: 0.0313 (0.0340) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4362 data: 0.0024 max mem: 31671 Epoch: [36] [2980/5278] eta: 1:36:58 lr: 5.488746168623849e-06 loss: 0.0295 (0.0319) loss_seg: 0.0305 (0.0340) loss_lansim: 0.0694 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4490 data: 0.0024 max mem: 31671 Epoch: [36] [2990/5278] eta: 1:36:33 lr: 5.486021549018458e-06 loss: 0.0297 (0.0319) loss_seg: 0.0319 (0.0340) loss_lansim: 0.0694 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4448 data: 0.0024 max mem: 31671 Epoch: [36] [3000/5278] eta: 1:36:07 lr: 5.483296779051883e-06 loss: 0.0296 (0.0319) loss_seg: 0.0324 (0.0340) loss_lansim: 0.0701 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4476 data: 0.0024 max mem: 31671 Epoch: [36] [3010/5278] eta: 1:35:41 lr: 5.4805718586328e-06 loss: 0.0297 (0.0319) loss_seg: 0.0326 (0.0340) loss_lansim: 0.0696 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4433 data: 0.0024 max mem: 31671 Epoch: [36] [3020/5278] eta: 1:35:15 lr: 5.47784678766978e-06 loss: 0.0295 (0.0319) loss_seg: 0.0319 (0.0340) loss_lansim: 0.0695 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.4573 data: 0.0024 max mem: 31671 Epoch: [36] [3030/5278] eta: 1:34:49 lr: 5.475121566071288e-06 loss: 0.0297 (0.0319) loss_seg: 0.0324 (0.0340) loss_lansim: 0.0690 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.4567 data: 0.0024 max mem: 31671 Epoch: [36] [3040/5278] eta: 1:34:23 lr: 5.472396193745667e-06 loss: 0.0299 (0.0319) loss_seg: 0.0329 (0.0340) loss_lansim: 0.0694 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.4575 data: 0.0024 max mem: 31671 Epoch: [36] [3050/5278] eta: 1:33:58 lr: 5.4696706706011715e-06 loss: 0.0296 (0.0319) loss_seg: 0.0324 (0.0340) loss_lansim: 0.0695 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.4688 data: 0.0024 max mem: 31671 Epoch: [36] [3060/5278] eta: 1:33:32 lr: 5.4669449965459435e-06 loss: 0.0294 (0.0318) loss_seg: 0.0322 (0.0340) loss_lansim: 0.0692 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.4681 data: 0.0024 max mem: 31671 Epoch: [36] [3070/5278] eta: 1:33:07 lr: 5.464219171488023e-06 loss: 0.0299 (0.0318) loss_seg: 0.0325 (0.0340) loss_lansim: 0.0690 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.4742 data: 0.0024 max mem: 31671 Epoch: [36] [3080/5278] eta: 1:32:41 lr: 5.461493195335326e-06 loss: 0.0299 (0.0319) loss_seg: 0.0324 (0.0340) loss_lansim: 0.0680 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.4700 data: 0.0023 max mem: 31671 Epoch: [36] [3090/5278] eta: 1:32:14 lr: 5.458767067995679e-06 loss: 0.0294 (0.0319) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0689 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.4627 data: 0.0023 max mem: 31671 Epoch: [36] [3100/5278] eta: 1:31:49 lr: 5.456040789376796e-06 loss: 0.0294 (0.0319) loss_seg: 0.0310 (0.0340) loss_lansim: 0.0689 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4675 data: 0.0023 max mem: 31671 Epoch: [36] [3110/5278] eta: 1:31:23 lr: 5.453314359386288e-06 loss: 0.0284 (0.0319) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0680 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4701 data: 0.0024 max mem: 31671 Epoch: [36] [3120/5278] eta: 1:30:58 lr: 5.45058777793164e-06 loss: 0.0282 (0.0318) loss_seg: 0.0289 (0.0340) loss_lansim: 0.0675 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4691 data: 0.0024 max mem: 31671 Epoch: [36] [3130/5278] eta: 1:30:31 lr: 5.447861044920248e-06 loss: 0.0284 (0.0318) loss_seg: 0.0289 (0.0340) loss_lansim: 0.0679 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4651 data: 0.0024 max mem: 31671 Epoch: [36] [3140/5278] eta: 1:30:05 lr: 5.445134160259393e-06 loss: 0.0283 (0.0318) loss_seg: 0.0283 (0.0340) loss_lansim: 0.0678 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4594 data: 0.0024 max mem: 31671 Epoch: [36] [3150/5278] eta: 1:29:39 lr: 5.442407123856249e-06 loss: 0.0282 (0.0318) loss_seg: 0.0279 (0.0340) loss_lansim: 0.0676 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4480 data: 0.0024 max mem: 31671 Epoch: [36] [3160/5278] eta: 1:29:13 lr: 5.439679935617888e-06 loss: 0.0284 (0.0319) loss_seg: 0.0288 (0.0340) loss_lansim: 0.0679 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4421 data: 0.0024 max mem: 31671 Epoch: [36] [3170/5278] eta: 1:28:47 lr: 5.436952595451251e-06 loss: 0.0287 (0.0319) loss_seg: 0.0291 (0.0340) loss_lansim: 0.0688 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4335 data: 0.0023 max mem: 31671 Epoch: [36] [3180/5278] eta: 1:28:21 lr: 5.434225103263192e-06 loss: 0.0290 (0.0319) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0697 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4352 data: 0.0023 max mem: 31671 Epoch: [36] [3190/5278] eta: 1:27:55 lr: 5.43149745896045e-06 loss: 0.0290 (0.0319) loss_seg: 0.0294 (0.0340) loss_lansim: 0.0680 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4382 data: 0.0023 max mem: 31671 Epoch: [36] [3200/5278] eta: 1:27:30 lr: 5.428769662449659e-06 loss: 0.0290 (0.0319) loss_seg: 0.0303 (0.0341) loss_lansim: 0.0685 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4341 data: 0.0023 max mem: 31671 Epoch: [36] [3210/5278] eta: 1:27:04 lr: 5.4260417136373265e-06 loss: 0.0286 (0.0319) loss_seg: 0.0294 (0.0340) loss_lansim: 0.0685 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4282 data: 0.0023 max mem: 31671 Epoch: [36] [3220/5278] eta: 1:26:38 lr: 5.423313612429867e-06 loss: 0.0287 (0.0319) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0686 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4205 data: 0.0023 max mem: 31671 Epoch: [36] [3230/5278] eta: 1:26:12 lr: 5.4205853587335795e-06 loss: 0.0287 (0.0319) loss_seg: 0.0302 (0.0340) loss_lansim: 0.0686 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4225 data: 0.0022 max mem: 31671 Epoch: [36] [3240/5278] eta: 1:25:46 lr: 5.417856952454663e-06 loss: 0.0287 (0.0319) loss_seg: 0.0303 (0.0340) loss_lansim: 0.0688 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4209 data: 0.0022 max mem: 31671 Epoch: [36] [3250/5278] eta: 1:25:20 lr: 5.415128393499181e-06 loss: 0.0282 (0.0319) loss_seg: 0.0303 (0.0340) loss_lansim: 0.0692 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4314 data: 0.0022 max mem: 31671 Epoch: [36] [3260/5278] eta: 1:24:55 lr: 5.412399681773111e-06 loss: 0.0282 (0.0319) loss_seg: 0.0303 (0.0340) loss_lansim: 0.0694 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4370 data: 0.0023 max mem: 31671 Epoch: [36] [3270/5278] eta: 1:24:29 lr: 5.40967081718231e-06 loss: 0.0277 (0.0318) loss_seg: 0.0289 (0.0340) loss_lansim: 0.0688 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4335 data: 0.0023 max mem: 31671 Epoch: [36] [3280/5278] eta: 1:24:03 lr: 5.4069417996325316e-06 loss: 0.0275 (0.0318) loss_seg: 0.0284 (0.0340) loss_lansim: 0.0690 (0.0712) loss_contra: 0.0000 (0.0011) time: 2.4244 data: 0.0023 max mem: 31671 Epoch: [36] [3290/5278] eta: 1:23:37 lr: 5.404212629029401e-06 loss: 0.0277 (0.0319) loss_seg: 0.0284 (0.0340) loss_lansim: 0.0691 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4258 data: 0.0022 max mem: 31671 Epoch: [36] [3300/5278] eta: 1:23:11 lr: 5.401483305278448e-06 loss: 0.0259 (0.0319) loss_seg: 0.0280 (0.0340) loss_lansim: 0.0687 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4197 data: 0.0023 max mem: 31671 Epoch: [36] [3310/5278] eta: 1:22:45 lr: 5.398753828285088e-06 loss: 0.0277 (0.0319) loss_seg: 0.0295 (0.0340) loss_lansim: 0.0690 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4285 data: 0.0023 max mem: 31671 Epoch: [36] [3320/5278] eta: 1:22:19 lr: 5.396024197954628e-06 loss: 0.0279 (0.0318) loss_seg: 0.0301 (0.0340) loss_lansim: 0.0695 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4240 data: 0.0023 max mem: 31671 Epoch: [36] [3330/5278] eta: 1:21:53 lr: 5.393294414192248e-06 loss: 0.0280 (0.0319) loss_seg: 0.0303 (0.0340) loss_lansim: 0.0697 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4214 data: 0.0023 max mem: 31671 Epoch: [36] [3340/5278] eta: 1:21:27 lr: 5.390564476903032e-06 loss: 0.0279 (0.0318) loss_seg: 0.0301 (0.0340) loss_lansim: 0.0691 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4201 data: 0.0023 max mem: 31671 Epoch: [36] [3350/5278] eta: 1:21:01 lr: 5.387834385991945e-06 loss: 0.0279 (0.0318) loss_seg: 0.0301 (0.0340) loss_lansim: 0.0690 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4052 data: 0.0023 max mem: 31671 Epoch: [36] [3360/5278] eta: 1:20:35 lr: 5.385104141363849e-06 loss: 0.0272 (0.0318) loss_seg: 0.0289 (0.0340) loss_lansim: 0.0685 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4060 data: 0.0023 max mem: 31671 Epoch: [36] [3370/5278] eta: 1:20:10 lr: 5.382373742923472e-06 loss: 0.0279 (0.0318) loss_seg: 0.0298 (0.0340) loss_lansim: 0.0691 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4111 data: 0.0023 max mem: 31671 Epoch: [36] [3380/5278] eta: 1:19:45 lr: 5.379643190575448e-06 loss: 0.0295 (0.0318) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0690 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4262 data: 0.0023 max mem: 31671 Epoch: [36] [3390/5278] eta: 1:19:19 lr: 5.376912484224296e-06 loss: 0.0295 (0.0318) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0693 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4276 data: 0.0024 max mem: 31671 Epoch: [36] [3400/5278] eta: 1:18:53 lr: 5.374181623774415e-06 loss: 0.0298 (0.0319) loss_seg: 0.0321 (0.0340) loss_lansim: 0.0693 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4299 data: 0.0024 max mem: 31671 Epoch: [36] [3410/5278] eta: 1:18:28 lr: 5.371450609130102e-06 loss: 0.0296 (0.0318) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0693 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4252 data: 0.0024 max mem: 31671 Epoch: [36] [3420/5278] eta: 1:18:02 lr: 5.36871944019552e-06 loss: 0.0298 (0.0318) loss_seg: 0.0321 (0.0340) loss_lansim: 0.0695 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4306 data: 0.0023 max mem: 31671 Epoch: [36] [3430/5278] eta: 1:17:36 lr: 5.365988116874738e-06 loss: 0.0292 (0.0318) loss_seg: 0.0305 (0.0340) loss_lansim: 0.0691 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4294 data: 0.0023 max mem: 31671 Epoch: [36] [3440/5278] eta: 1:17:10 lr: 5.363256639071701e-06 loss: 0.0292 (0.0318) loss_seg: 0.0305 (0.0340) loss_lansim: 0.0693 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4337 data: 0.0024 max mem: 31671 Epoch: [36] [3450/5278] eta: 1:16:45 lr: 5.360525006690253e-06 loss: 0.0296 (0.0318) loss_seg: 0.0318 (0.0340) loss_lansim: 0.0693 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4485 data: 0.0024 max mem: 31671 Epoch: [36] [3460/5278] eta: 1:16:19 lr: 5.357793219634099e-06 loss: 0.0298 (0.0319) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0709 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4490 data: 0.0024 max mem: 31671 Epoch: [36] [3470/5278] eta: 1:15:53 lr: 5.3550612778068495e-06 loss: 0.0295 (0.0319) loss_seg: 0.0318 (0.0341) loss_lansim: 0.0691 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4381 data: 0.0024 max mem: 31671 Epoch: [36] [3480/5278] eta: 1:15:28 lr: 5.352329181111996e-06 loss: 0.0290 (0.0319) loss_seg: 0.0299 (0.0340) loss_lansim: 0.0691 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4316 data: 0.0024 max mem: 31671 Epoch: [36] [3490/5278] eta: 1:15:03 lr: 5.3495969294529184e-06 loss: 0.0284 (0.0319) loss_seg: 0.0299 (0.0340) loss_lansim: 0.0686 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4359 data: 0.0024 max mem: 31671 Epoch: [36] [3500/5278] eta: 1:14:37 lr: 5.346864522732865e-06 loss: 0.0283 (0.0319) loss_seg: 0.0299 (0.0340) loss_lansim: 0.0686 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4307 data: 0.0024 max mem: 31671 Epoch: [36] [3510/5278] eta: 1:14:11 lr: 5.344131960854988e-06 loss: 0.0284 (0.0319) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0691 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4269 data: 0.0024 max mem: 31671 Epoch: [36] [3520/5278] eta: 1:13:45 lr: 5.341399243722314e-06 loss: 0.0283 (0.0319) loss_seg: 0.0290 (0.0340) loss_lansim: 0.0691 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4329 data: 0.0024 max mem: 31671 Epoch: [36] [3530/5278] eta: 1:13:20 lr: 5.338666371237765e-06 loss: 0.0280 (0.0319) loss_seg: 0.0290 (0.0340) loss_lansim: 0.0700 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4396 data: 0.0024 max mem: 31671 Epoch: [36] [3540/5278] eta: 1:12:54 lr: 5.335933343304124e-06 loss: 0.0283 (0.0318) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0700 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4403 data: 0.0024 max mem: 31671 Epoch: [36] [3550/5278] eta: 1:12:29 lr: 5.3332001598240795e-06 loss: 0.0280 (0.0318) loss_seg: 0.0299 (0.0340) loss_lansim: 0.0700 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4312 data: 0.0024 max mem: 31671 Epoch: [36] [3560/5278] eta: 1:12:03 lr: 5.330466820700196e-06 loss: 0.0281 (0.0318) loss_seg: 0.0300 (0.0340) loss_lansim: 0.0698 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4326 data: 0.0024 max mem: 31671 Epoch: [36] [3570/5278] eta: 1:11:38 lr: 5.327733325834928e-06 loss: 0.0280 (0.0318) loss_seg: 0.0297 (0.0340) loss_lansim: 0.0692 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4417 data: 0.0024 max mem: 31671 Epoch: [36] [3580/5278] eta: 1:11:12 lr: 5.324999675130594e-06 loss: 0.0278 (0.0319) loss_seg: 0.0290 (0.0341) loss_lansim: 0.0698 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4398 data: 0.0023 max mem: 31671 Epoch: [36] [3590/5278] eta: 1:10:47 lr: 5.322265868489417e-06 loss: 0.0278 (0.0319) loss_seg: 0.0290 (0.0341) loss_lansim: 0.0702 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4373 data: 0.0023 max mem: 31671 Epoch: [36] [3600/5278] eta: 1:10:22 lr: 5.31953190581349e-06 loss: 0.0276 (0.0319) loss_seg: 0.0290 (0.0341) loss_lansim: 0.0698 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4508 data: 0.0023 max mem: 31671 Epoch: [36] [3610/5278] eta: 1:09:56 lr: 5.316797787004802e-06 loss: 0.0278 (0.0319) loss_seg: 0.0297 (0.0341) loss_lansim: 0.0692 (0.0711) loss_contra: 0.0000 (0.0011) time: 2.4588 data: 0.0023 max mem: 31671 Epoch: [36] [3620/5278] eta: 1:09:31 lr: 5.3140635119652025e-06 loss: 0.0280 (0.0319) loss_seg: 0.0297 (0.0341) loss_lansim: 0.0692 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.4537 data: 0.0023 max mem: 31671 Epoch: [36] [3630/5278] eta: 1:09:06 lr: 5.3113290805964415e-06 loss: 0.0281 (0.0319) loss_seg: 0.0304 (0.0341) loss_lansim: 0.0685 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.4605 data: 0.0023 max mem: 31671 Epoch: [36] [3640/5278] eta: 1:08:40 lr: 5.308594492800146e-06 loss: 0.0280 (0.0319) loss_seg: 0.0286 (0.0341) loss_lansim: 0.0678 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.4565 data: 0.0023 max mem: 31671 Epoch: [36] [3650/5278] eta: 1:08:15 lr: 5.3058597484778236e-06 loss: 0.0281 (0.0319) loss_seg: 0.0308 (0.0341) loss_lansim: 0.0677 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.4756 data: 0.0023 max mem: 31671 Epoch: [36] [3660/5278] eta: 1:07:50 lr: 5.3031248475308696e-06 loss: 0.0280 (0.0319) loss_seg: 0.0305 (0.0341) loss_lansim: 0.0678 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.4840 data: 0.0024 max mem: 31671 Epoch: [36] [3670/5278] eta: 1:07:26 lr: 5.300389789860543e-06 loss: 0.0279 (0.0319) loss_seg: 0.0305 (0.0341) loss_lansim: 0.0684 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.5105 data: 0.0024 max mem: 31671 Epoch: [36] [3680/5278] eta: 1:07:01 lr: 5.297654575368003e-06 loss: 0.0278 (0.0319) loss_seg: 0.0285 (0.0340) loss_lansim: 0.0679 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.5317 data: 0.0024 max mem: 31671 Epoch: [36] [3690/5278] eta: 1:06:37 lr: 5.294919203954282e-06 loss: 0.0278 (0.0319) loss_seg: 0.0302 (0.0340) loss_lansim: 0.0684 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [36] [3700/5278] eta: 1:06:12 lr: 5.2921836755202986e-06 loss: 0.0278 (0.0319) loss_seg: 0.0302 (0.0340) loss_lansim: 0.0687 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.5719 data: 0.0025 max mem: 31671 Epoch: [36] [3710/5278] eta: 1:05:48 lr: 5.289447989966836e-06 loss: 0.0276 (0.0318) loss_seg: 0.0283 (0.0340) loss_lansim: 0.0687 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.5875 data: 0.0025 max mem: 31671 Epoch: [36] [3720/5278] eta: 1:05:24 lr: 5.286712147194574e-06 loss: 0.0276 (0.0318) loss_seg: 0.0283 (0.0340) loss_lansim: 0.0685 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6205 data: 0.0025 max mem: 31671 Epoch: [36] [3730/5278] eta: 1:04:59 lr: 5.283976147104068e-06 loss: 0.0272 (0.0318) loss_seg: 0.0283 (0.0340) loss_lansim: 0.0689 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6418 data: 0.0026 max mem: 31671 Epoch: [36] [3740/5278] eta: 1:04:35 lr: 5.2812399895957586e-06 loss: 0.0262 (0.0318) loss_seg: 0.0278 (0.0340) loss_lansim: 0.0695 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6730 data: 0.0026 max mem: 31671 Epoch: [36] [3750/5278] eta: 1:04:10 lr: 5.278503674569946e-06 loss: 0.0262 (0.0318) loss_seg: 0.0278 (0.0340) loss_lansim: 0.0695 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6779 data: 0.0027 max mem: 31671 Epoch: [36] [3760/5278] eta: 1:03:46 lr: 5.275767201926831e-06 loss: 0.0272 (0.0318) loss_seg: 0.0283 (0.0340) loss_lansim: 0.0695 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6873 data: 0.0027 max mem: 31671 Epoch: [36] [3770/5278] eta: 1:03:21 lr: 5.2730305715664865e-06 loss: 0.0272 (0.0318) loss_seg: 0.0285 (0.0340) loss_lansim: 0.0698 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6834 data: 0.0027 max mem: 31671 Epoch: [36] [3780/5278] eta: 1:02:57 lr: 5.27029378338887e-06 loss: 0.0277 (0.0318) loss_seg: 0.0293 (0.0340) loss_lansim: 0.0713 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6949 data: 0.0027 max mem: 31671 Epoch: [36] [3790/5278] eta: 1:02:32 lr: 5.267556837293797e-06 loss: 0.0272 (0.0318) loss_seg: 0.0290 (0.0339) loss_lansim: 0.0705 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6992 data: 0.0027 max mem: 31671 Epoch: [36] [3800/5278] eta: 1:02:07 lr: 5.264819733180987e-06 loss: 0.0269 (0.0318) loss_seg: 0.0287 (0.0339) loss_lansim: 0.0701 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.6919 data: 0.0027 max mem: 31671 Epoch: [36] [3810/5278] eta: 1:01:43 lr: 5.262082470950024e-06 loss: 0.0277 (0.0318) loss_seg: 0.0294 (0.0339) loss_lansim: 0.0690 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.7053 data: 0.0027 max mem: 31671 Epoch: [36] [3820/5278] eta: 1:01:19 lr: 5.25934505050038e-06 loss: 0.0289 (0.0318) loss_seg: 0.0309 (0.0340) loss_lansim: 0.0693 (0.0710) loss_contra: 0.0000 (0.0011) time: 2.7084 data: 0.0027 max mem: 31671 Epoch: [36] [3830/5278] eta: 1:00:54 lr: 5.256607471731386e-06 loss: 0.0291 (0.0318) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0690 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7064 data: 0.0027 max mem: 31671 Epoch: [36] [3840/5278] eta: 1:00:30 lr: 5.25386973454227e-06 loss: 0.0296 (0.0318) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0690 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.6976 data: 0.0027 max mem: 31671 Epoch: [36] [3850/5278] eta: 1:00:05 lr: 5.2511318388321295e-06 loss: 0.0296 (0.0318) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0689 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7099 data: 0.0027 max mem: 31671 Epoch: [36] [3860/5278] eta: 0:59:41 lr: 5.248393784499947e-06 loss: 0.0291 (0.0318) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0682 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7173 data: 0.0027 max mem: 31671 Epoch: [36] [3870/5278] eta: 0:59:16 lr: 5.245655571444562e-06 loss: 0.0286 (0.0318) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0681 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7242 data: 0.0027 max mem: 31671 Epoch: [36] [3880/5278] eta: 0:58:51 lr: 5.2429171995647106e-06 loss: 0.0283 (0.0317) loss_seg: 0.0305 (0.0339) loss_lansim: 0.0672 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7031 data: 0.0027 max mem: 31671 Epoch: [36] [3890/5278] eta: 0:58:26 lr: 5.240178668758999e-06 loss: 0.0286 (0.0317) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0675 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7003 data: 0.0027 max mem: 31671 Epoch: [36] [3900/5278] eta: 0:58:02 lr: 5.237439978925909e-06 loss: 0.0286 (0.0318) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0676 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7166 data: 0.0027 max mem: 31671 Epoch: [36] [3910/5278] eta: 0:57:37 lr: 5.234701129963805e-06 loss: 0.0291 (0.0318) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0675 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7073 data: 0.0027 max mem: 31671 Epoch: [36] [3920/5278] eta: 0:57:13 lr: 5.2319621217709094e-06 loss: 0.0276 (0.0318) loss_seg: 0.0302 (0.0339) loss_lansim: 0.0665 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.7014 data: 0.0027 max mem: 31671 Epoch: [36] [3930/5278] eta: 0:56:48 lr: 5.229222954245339e-06 loss: 0.0273 (0.0317) loss_seg: 0.0296 (0.0339) loss_lansim: 0.0676 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.6842 data: 0.0027 max mem: 31671 Epoch: [36] [3940/5278] eta: 0:56:23 lr: 5.226483627285079e-06 loss: 0.0278 (0.0317) loss_seg: 0.0300 (0.0339) loss_lansim: 0.0676 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.6911 data: 0.0027 max mem: 31671 Epoch: [36] [3950/5278] eta: 0:55:58 lr: 5.223744140787996e-06 loss: 0.0278 (0.0318) loss_seg: 0.0300 (0.0339) loss_lansim: 0.0699 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.6800 data: 0.0027 max mem: 31671 Epoch: [36] [3960/5278] eta: 0:55:34 lr: 5.221004494651813e-06 loss: 0.0279 (0.0318) loss_seg: 0.0305 (0.0339) loss_lansim: 0.0702 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.6873 data: 0.0027 max mem: 31671 Epoch: [36] [3970/5278] eta: 0:55:09 lr: 5.218264688774148e-06 loss: 0.0286 (0.0318) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0703 (0.0709) loss_contra: 0.0000 (0.0011) time: 2.6790 data: 0.0027 max mem: 31671 Epoch: [36] [3980/5278] eta: 0:54:44 lr: 5.215524723052485e-06 loss: 0.0288 (0.0318) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0706 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.6916 data: 0.0028 max mem: 31671 Epoch: [36] [3990/5278] eta: 0:54:19 lr: 5.212784597384191e-06 loss: 0.0288 (0.0318) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0706 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.6930 data: 0.0027 max mem: 31671 Epoch: [36] [4000/5278] eta: 0:53:54 lr: 5.210044311666485e-06 loss: 0.0278 (0.0318) loss_seg: 0.0301 (0.0339) loss_lansim: 0.0703 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.6877 data: 0.0028 max mem: 31671 Epoch: [36] [4010/5278] eta: 0:53:31 lr: 5.207303865796482e-06 loss: 0.0274 (0.0317) loss_seg: 0.0296 (0.0339) loss_lansim: 0.0704 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.7383 data: 0.0028 max mem: 31671 Epoch: [36] [4020/5278] eta: 0:53:07 lr: 5.204563259671163e-06 loss: 0.0293 (0.0318) loss_seg: 0.0301 (0.0339) loss_lansim: 0.0704 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.7459 data: 0.0028 max mem: 31671 Epoch: [36] [4030/5278] eta: 0:52:42 lr: 5.201822493187389e-06 loss: 0.0293 (0.0318) loss_seg: 0.0321 (0.0339) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7560 data: 0.0027 max mem: 31671 Epoch: [36] [4040/5278] eta: 0:52:17 lr: 5.199081566241875e-06 loss: 0.0271 (0.0317) loss_seg: 0.0294 (0.0339) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7454 data: 0.0027 max mem: 31671 Epoch: [36] [4050/5278] eta: 0:51:51 lr: 5.196340478731227e-06 loss: 0.0271 (0.0317) loss_seg: 0.0291 (0.0339) loss_lansim: 0.0673 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7360 data: 0.0027 max mem: 31671 Epoch: [36] [4060/5278] eta: 0:51:27 lr: 5.1935992305519196e-06 loss: 0.0271 (0.0317) loss_seg: 0.0291 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7330 data: 0.0026 max mem: 31671 Epoch: [36] [4070/5278] eta: 0:51:02 lr: 5.190857821600303e-06 loss: 0.0268 (0.0317) loss_seg: 0.0282 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7327 data: 0.0026 max mem: 31671 Epoch: [36] [4080/5278] eta: 0:50:37 lr: 5.188116251772586e-06 loss: 0.0267 (0.0317) loss_seg: 0.0272 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7314 data: 0.0026 max mem: 31671 Epoch: [36] [4090/5278] eta: 0:50:12 lr: 5.185374520964861e-06 loss: 0.0270 (0.0317) loss_seg: 0.0282 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7309 data: 0.0026 max mem: 31671 Epoch: [36] [4100/5278] eta: 0:49:47 lr: 5.182632629073094e-06 loss: 0.0270 (0.0317) loss_seg: 0.0286 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7203 data: 0.0026 max mem: 31671 Epoch: [36] [4110/5278] eta: 0:49:22 lr: 5.17989057599312e-06 loss: 0.0269 (0.0317) loss_seg: 0.0282 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6824 data: 0.0025 max mem: 31671 Epoch: [36] [4120/5278] eta: 0:48:58 lr: 5.177148361620636e-06 loss: 0.0269 (0.0317) loss_seg: 0.0282 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6875 data: 0.0026 max mem: 31671 Epoch: [36] [4130/5278] eta: 0:48:33 lr: 5.174405985851221e-06 loss: 0.0268 (0.0317) loss_seg: 0.0282 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6939 data: 0.0026 max mem: 31671 Epoch: [36] [4140/5278] eta: 0:48:08 lr: 5.171663448580323e-06 loss: 0.0273 (0.0317) loss_seg: 0.0286 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6976 data: 0.0026 max mem: 31671 Epoch: [36] [4150/5278] eta: 0:47:43 lr: 5.16892074970326e-06 loss: 0.0275 (0.0317) loss_seg: 0.0295 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7113 data: 0.0026 max mem: 31671 Epoch: [36] [4160/5278] eta: 0:47:18 lr: 5.166177889115224e-06 loss: 0.0279 (0.0317) loss_seg: 0.0301 (0.0339) loss_lansim: 0.0691 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7041 data: 0.0026 max mem: 31671 Epoch: [36] [4170/5278] eta: 0:46:53 lr: 5.1634348667112625e-06 loss: 0.0279 (0.0317) loss_seg: 0.0301 (0.0339) loss_lansim: 0.0690 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7218 data: 0.0026 max mem: 31671 Epoch: [36] [4180/5278] eta: 0:46:28 lr: 5.1606916823863085e-06 loss: 0.0287 (0.0317) loss_seg: 0.0311 (0.0339) loss_lansim: 0.0681 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7229 data: 0.0026 max mem: 31671 Epoch: [36] [4190/5278] eta: 0:46:03 lr: 5.15794833603516e-06 loss: 0.0287 (0.0317) loss_seg: 0.0311 (0.0339) loss_lansim: 0.0684 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7183 data: 0.0026 max mem: 31671 Epoch: [36] [4200/5278] eta: 0:45:38 lr: 5.155204827552489e-06 loss: 0.0292 (0.0317) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0681 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7221 data: 0.0026 max mem: 31671 Epoch: [36] [4210/5278] eta: 0:45:13 lr: 5.15246115683282e-06 loss: 0.0304 (0.0317) loss_seg: 0.0332 (0.0339) loss_lansim: 0.0681 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7171 data: 0.0026 max mem: 31671 Epoch: [36] [4220/5278] eta: 0:44:48 lr: 5.149717323770565e-06 loss: 0.0304 (0.0317) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7082 data: 0.0026 max mem: 31671 Epoch: [36] [4230/5278] eta: 0:44:23 lr: 5.146973328259997e-06 loss: 0.0306 (0.0317) loss_seg: 0.0332 (0.0339) loss_lansim: 0.0694 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7019 data: 0.0026 max mem: 31671 Epoch: [36] [4240/5278] eta: 0:43:58 lr: 5.1442291701952635e-06 loss: 0.0306 (0.0317) loss_seg: 0.0332 (0.0339) loss_lansim: 0.0694 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7036 data: 0.0026 max mem: 31671 Epoch: [36] [4250/5278] eta: 0:43:33 lr: 5.141484849470364e-06 loss: 0.0304 (0.0317) loss_seg: 0.0326 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6975 data: 0.0026 max mem: 31671 Epoch: [36] [4260/5278] eta: 0:43:07 lr: 5.138740365979184e-06 loss: 0.0293 (0.0317) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6861 data: 0.0026 max mem: 31671 Epoch: [36] [4270/5278] eta: 0:42:42 lr: 5.1359957196154676e-06 loss: 0.0293 (0.0317) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0707 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6769 data: 0.0026 max mem: 31671 Epoch: [36] [4280/5278] eta: 0:42:17 lr: 5.133250910272836e-06 loss: 0.0287 (0.0317) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0710 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6803 data: 0.0027 max mem: 31671 Epoch: [36] [4290/5278] eta: 0:41:52 lr: 5.130505937844757e-06 loss: 0.0283 (0.0317) loss_seg: 0.0308 (0.0338) loss_lansim: 0.0710 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6790 data: 0.0027 max mem: 31671 Epoch: [36] [4300/5278] eta: 0:41:27 lr: 5.127760802224585e-06 loss: 0.0274 (0.0317) loss_seg: 0.0301 (0.0338) loss_lansim: 0.0707 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6703 data: 0.0027 max mem: 31671 Epoch: [36] [4310/5278] eta: 0:41:02 lr: 5.125015503305534e-06 loss: 0.0271 (0.0317) loss_seg: 0.0294 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6558 data: 0.0027 max mem: 31671 Epoch: [36] [4320/5278] eta: 0:40:36 lr: 5.1222700409806946e-06 loss: 0.0264 (0.0317) loss_seg: 0.0287 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6438 data: 0.0027 max mem: 31671 Epoch: [36] [4330/5278] eta: 0:40:11 lr: 5.119524415142999e-06 loss: 0.0264 (0.0317) loss_seg: 0.0287 (0.0339) loss_lansim: 0.0699 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6548 data: 0.0027 max mem: 31671 Epoch: [36] [4340/5278] eta: 0:39:46 lr: 5.116778625685267e-06 loss: 0.0261 (0.0317) loss_seg: 0.0280 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6491 data: 0.0027 max mem: 31671 Epoch: [36] [4350/5278] eta: 0:39:21 lr: 5.114032672500179e-06 loss: 0.0273 (0.0317) loss_seg: 0.0284 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6515 data: 0.0027 max mem: 31671 Epoch: [36] [4360/5278] eta: 0:38:55 lr: 5.1112865554802864e-06 loss: 0.0287 (0.0317) loss_seg: 0.0311 (0.0339) loss_lansim: 0.0693 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6436 data: 0.0027 max mem: 31671 Epoch: [36] [4370/5278] eta: 0:38:30 lr: 5.1085402745179866e-06 loss: 0.0296 (0.0317) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0675 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6331 data: 0.0027 max mem: 31671 Epoch: [36] [4380/5278] eta: 0:38:05 lr: 5.105793829505561e-06 loss: 0.0296 (0.0317) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0682 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6258 data: 0.0026 max mem: 31671 Epoch: [36] [4390/5278] eta: 0:37:40 lr: 5.103047220335149e-06 loss: 0.0299 (0.0317) loss_seg: 0.0317 (0.0339) loss_lansim: 0.0671 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6303 data: 0.0026 max mem: 31671 Epoch: [36] [4400/5278] eta: 0:37:14 lr: 5.100300446898755e-06 loss: 0.0298 (0.0317) loss_seg: 0.0325 (0.0339) loss_lansim: 0.0691 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6368 data: 0.0026 max mem: 31671 Epoch: [36] [4410/5278] eta: 0:36:49 lr: 5.097553509088256e-06 loss: 0.0298 (0.0317) loss_seg: 0.0305 (0.0339) loss_lansim: 0.0691 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6357 data: 0.0027 max mem: 31671 Epoch: [36] [4420/5278] eta: 0:36:24 lr: 5.09480640679537e-06 loss: 0.0298 (0.0317) loss_seg: 0.0305 (0.0339) loss_lansim: 0.0691 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6299 data: 0.0026 max mem: 31671 Epoch: [36] [4430/5278] eta: 0:35:58 lr: 5.092059139911701e-06 loss: 0.0298 (0.0317) loss_seg: 0.0308 (0.0339) loss_lansim: 0.0692 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6224 data: 0.0026 max mem: 31671 Epoch: [36] [4440/5278] eta: 0:35:33 lr: 5.08931170832871e-06 loss: 0.0298 (0.0317) loss_seg: 0.0308 (0.0339) loss_lansim: 0.0692 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6241 data: 0.0026 max mem: 31671 Epoch: [36] [4450/5278] eta: 0:35:08 lr: 5.086564111937725e-06 loss: 0.0296 (0.0317) loss_seg: 0.0301 (0.0339) loss_lansim: 0.0692 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6184 data: 0.0026 max mem: 31671 Epoch: [36] [4460/5278] eta: 0:34:43 lr: 5.083816350629921e-06 loss: 0.0293 (0.0317) loss_seg: 0.0301 (0.0339) loss_lansim: 0.0692 (0.0707) loss_contra: 0.0000 (0.0011) time: 2.6360 data: 0.0026 max mem: 31671 Epoch: [36] [4470/5278] eta: 0:34:17 lr: 5.081068424296353e-06 loss: 0.0293 (0.0317) loss_seg: 0.0299 (0.0339) loss_lansim: 0.0698 (0.0707) loss_contra: 0.0000 (0.0011) time: 2.6250 data: 0.0026 max mem: 31671 Epoch: [36] [4480/5278] eta: 0:33:52 lr: 5.078320332827934e-06 loss: 0.0296 (0.0317) loss_seg: 0.0308 (0.0339) loss_lansim: 0.0703 (0.0707) loss_contra: 0.0000 (0.0011) time: 2.6146 data: 0.0026 max mem: 31671 Epoch: [36] [4490/5278] eta: 0:33:26 lr: 5.075572076115441e-06 loss: 0.0299 (0.0318) loss_seg: 0.0316 (0.0339) loss_lansim: 0.0707 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6032 data: 0.0025 max mem: 31671 Epoch: [36] [4500/5278] eta: 0:33:01 lr: 5.072823654049502e-06 loss: 0.0308 (0.0318) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0707 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6004 data: 0.0026 max mem: 31671 Epoch: [36] [4510/5278] eta: 0:32:36 lr: 5.070075066520617e-06 loss: 0.0310 (0.0318) loss_seg: 0.0326 (0.0339) loss_lansim: 0.0707 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6154 data: 0.0025 max mem: 31671 Epoch: [36] [4520/5278] eta: 0:32:10 lr: 5.0673263134191464e-06 loss: 0.0308 (0.0318) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0710 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.6167 data: 0.0025 max mem: 31671 Epoch: [36] [4530/5278] eta: 0:31:45 lr: 5.064577394635318e-06 loss: 0.0293 (0.0318) loss_seg: 0.0316 (0.0339) loss_lansim: 0.0705 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.5993 data: 0.0025 max mem: 31671 Epoch: [36] [4540/5278] eta: 0:31:19 lr: 5.061828310059199e-06 loss: 0.0291 (0.0318) loss_seg: 0.0316 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.5907 data: 0.0025 max mem: 31671 Epoch: [36] [4550/5278] eta: 0:30:54 lr: 5.059079059580739e-06 loss: 0.0290 (0.0318) loss_seg: 0.0316 (0.0339) loss_lansim: 0.0711 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.5919 data: 0.0025 max mem: 31671 Epoch: [36] [4560/5278] eta: 0:30:28 lr: 5.05632964308974e-06 loss: 0.0290 (0.0318) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0724 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.5819 data: 0.0026 max mem: 31671 Epoch: [36] [4570/5278] eta: 0:30:03 lr: 5.05358006047587e-06 loss: 0.0283 (0.0317) loss_seg: 0.0300 (0.0339) loss_lansim: 0.0722 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [36] [4580/5278] eta: 0:29:38 lr: 5.050830311628641e-06 loss: 0.0282 (0.0317) loss_seg: 0.0300 (0.0339) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5981 data: 0.0026 max mem: 31671 Epoch: [36] [4590/5278] eta: 0:29:12 lr: 5.04808039643744e-06 loss: 0.0275 (0.0317) loss_seg: 0.0296 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5973 data: 0.0026 max mem: 31671 Epoch: [36] [4600/5278] eta: 0:28:47 lr: 5.045330314791509e-06 loss: 0.0272 (0.0317) loss_seg: 0.0287 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5907 data: 0.0026 max mem: 31671 Epoch: [36] [4610/5278] eta: 0:28:21 lr: 5.042580066579955e-06 loss: 0.0268 (0.0317) loss_seg: 0.0286 (0.0339) loss_lansim: 0.0702 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5789 data: 0.0026 max mem: 31671 Epoch: [36] [4620/5278] eta: 0:27:56 lr: 5.039829651691725e-06 loss: 0.0275 (0.0317) loss_seg: 0.0296 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5843 data: 0.0026 max mem: 31671 Epoch: [36] [4630/5278] eta: 0:27:31 lr: 5.037079070015644e-06 loss: 0.0275 (0.0317) loss_seg: 0.0297 (0.0339) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5969 data: 0.0026 max mem: 31671 Epoch: [36] [4640/5278] eta: 0:27:05 lr: 5.034328321440388e-06 loss: 0.0275 (0.0317) loss_seg: 0.0299 (0.0339) loss_lansim: 0.0702 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6107 data: 0.0026 max mem: 31671 Epoch: [36] [4650/5278] eta: 0:26:40 lr: 5.0315774058544906e-06 loss: 0.0272 (0.0317) loss_seg: 0.0293 (0.0339) loss_lansim: 0.0702 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6073 data: 0.0026 max mem: 31671 Epoch: [36] [4660/5278] eta: 0:26:15 lr: 5.028826323146353e-06 loss: 0.0268 (0.0317) loss_seg: 0.0291 (0.0339) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6161 data: 0.0025 max mem: 31671 Epoch: [36] [4670/5278] eta: 0:25:49 lr: 5.02607507320421e-06 loss: 0.0268 (0.0317) loss_seg: 0.0291 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6256 data: 0.0025 max mem: 31671 Epoch: [36] [4680/5278] eta: 0:25:24 lr: 5.023323655916177e-06 loss: 0.0267 (0.0317) loss_seg: 0.0285 (0.0339) loss_lansim: 0.0702 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6620 data: 0.0026 max mem: 31671 Epoch: [36] [4690/5278] eta: 0:24:59 lr: 5.020572071170216e-06 loss: 0.0268 (0.0317) loss_seg: 0.0287 (0.0339) loss_lansim: 0.0702 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6753 data: 0.0026 max mem: 31671 Epoch: [36] [4700/5278] eta: 0:24:34 lr: 5.017820318854156e-06 loss: 0.0272 (0.0317) loss_seg: 0.0290 (0.0339) loss_lansim: 0.0708 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6733 data: 0.0026 max mem: 31671 Epoch: [36] [4710/5278] eta: 0:24:08 lr: 5.015068398855661e-06 loss: 0.0273 (0.0317) loss_seg: 0.0290 (0.0338) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6698 data: 0.0026 max mem: 31671 Epoch: [36] [4720/5278] eta: 0:23:43 lr: 5.012316311062272e-06 loss: 0.0273 (0.0317) loss_seg: 0.0285 (0.0338) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6622 data: 0.0026 max mem: 31671 Epoch: [36] [4730/5278] eta: 0:23:17 lr: 5.009564055361376e-06 loss: 0.0272 (0.0317) loss_seg: 0.0284 (0.0338) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6515 data: 0.0025 max mem: 31671 Epoch: [36] [4740/5278] eta: 0:22:52 lr: 5.006811631640226e-06 loss: 0.0272 (0.0317) loss_seg: 0.0281 (0.0339) loss_lansim: 0.0706 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6418 data: 0.0026 max mem: 31671 Epoch: [36] [4750/5278] eta: 0:22:26 lr: 5.00405903978591e-06 loss: 0.0273 (0.0317) loss_seg: 0.0283 (0.0339) loss_lansim: 0.0699 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6424 data: 0.0026 max mem: 31671 Epoch: [36] [4760/5278] eta: 0:22:01 lr: 5.001306279685389e-06 loss: 0.0273 (0.0317) loss_seg: 0.0281 (0.0339) loss_lansim: 0.0700 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6306 data: 0.0026 max mem: 31671 Epoch: [36] [4770/5278] eta: 0:21:35 lr: 4.998553351225473e-06 loss: 0.0273 (0.0317) loss_seg: 0.0281 (0.0338) loss_lansim: 0.0706 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6101 data: 0.0025 max mem: 31671 Epoch: [36] [4780/5278] eta: 0:21:10 lr: 4.995800254292834e-06 loss: 0.0274 (0.0317) loss_seg: 0.0287 (0.0338) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5762 data: 0.0025 max mem: 31671 Epoch: [36] [4790/5278] eta: 0:20:44 lr: 4.993046988773978e-06 loss: 0.0274 (0.0317) loss_seg: 0.0287 (0.0338) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5722 data: 0.0025 max mem: 31671 Epoch: [36] [4800/5278] eta: 0:20:19 lr: 4.990293554555285e-06 loss: 0.0264 (0.0317) loss_seg: 0.0281 (0.0338) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5810 data: 0.0025 max mem: 31671 Epoch: [36] [4810/5278] eta: 0:19:53 lr: 4.98753995152298e-06 loss: 0.0269 (0.0317) loss_seg: 0.0287 (0.0338) loss_lansim: 0.0710 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5871 data: 0.0025 max mem: 31671 Epoch: [36] [4820/5278] eta: 0:19:28 lr: 4.984786179563152e-06 loss: 0.0269 (0.0317) loss_seg: 0.0290 (0.0338) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.5904 data: 0.0025 max mem: 31671 Epoch: [36] [4830/5278] eta: 0:19:03 lr: 4.9820322385617185e-06 loss: 0.0273 (0.0317) loss_seg: 0.0294 (0.0338) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6085 data: 0.0025 max mem: 31671 Epoch: [36] [4840/5278] eta: 0:18:37 lr: 4.979278128404475e-06 loss: 0.0269 (0.0317) loss_seg: 0.0293 (0.0338) loss_lansim: 0.0710 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6176 data: 0.0025 max mem: 31671 Epoch: [36] [4850/5278] eta: 0:18:12 lr: 4.97652384897706e-06 loss: 0.0269 (0.0317) loss_seg: 0.0294 (0.0338) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6165 data: 0.0025 max mem: 31671 Epoch: [36] [4860/5278] eta: 0:17:46 lr: 4.973769400164963e-06 loss: 0.0273 (0.0317) loss_seg: 0.0295 (0.0338) loss_lansim: 0.0702 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6212 data: 0.0026 max mem: 31671 Epoch: [36] [4870/5278] eta: 0:17:21 lr: 4.971014781853534e-06 loss: 0.0285 (0.0317) loss_seg: 0.0306 (0.0339) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6400 data: 0.0026 max mem: 31671 Epoch: [36] [4880/5278] eta: 0:16:55 lr: 4.968259993927956e-06 loss: 0.0273 (0.0317) loss_seg: 0.0295 (0.0338) loss_lansim: 0.0691 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6450 data: 0.0026 max mem: 31671 Epoch: [36] [4890/5278] eta: 0:16:30 lr: 4.965505036273281e-06 loss: 0.0272 (0.0317) loss_seg: 0.0295 (0.0338) loss_lansim: 0.0691 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6466 data: 0.0026 max mem: 31671 Epoch: [36] [4900/5278] eta: 0:16:04 lr: 4.962749908774406e-06 loss: 0.0280 (0.0317) loss_seg: 0.0298 (0.0338) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6463 data: 0.0026 max mem: 31671 Epoch: [36] [4910/5278] eta: 0:15:39 lr: 4.959994611316087e-06 loss: 0.0273 (0.0317) loss_seg: 0.0298 (0.0338) loss_lansim: 0.0699 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6502 data: 0.0026 max mem: 31671 Epoch: [36] [4920/5278] eta: 0:15:14 lr: 4.957239143782909e-06 loss: 0.0272 (0.0317) loss_seg: 0.0295 (0.0338) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6567 data: 0.0027 max mem: 31671 Epoch: [36] [4930/5278] eta: 0:14:48 lr: 4.9544835060593286e-06 loss: 0.0270 (0.0317) loss_seg: 0.0294 (0.0338) loss_lansim: 0.0702 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6584 data: 0.0027 max mem: 31671 Epoch: [36] [4940/5278] eta: 0:14:23 lr: 4.951727698029645e-06 loss: 0.0271 (0.0316) loss_seg: 0.0295 (0.0338) loss_lansim: 0.0707 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6536 data: 0.0027 max mem: 31671 Epoch: [36] [4950/5278] eta: 0:13:57 lr: 4.948971719578013e-06 loss: 0.0271 (0.0316) loss_seg: 0.0295 (0.0338) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6672 data: 0.0027 max mem: 31671 Epoch: [36] [4960/5278] eta: 0:13:32 lr: 4.946215570588419e-06 loss: 0.0272 (0.0316) loss_seg: 0.0297 (0.0338) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6789 data: 0.0027 max mem: 31671 Epoch: [36] [4970/5278] eta: 0:13:06 lr: 4.943459250944716e-06 loss: 0.0278 (0.0316) loss_seg: 0.0298 (0.0338) loss_lansim: 0.0716 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6820 data: 0.0026 max mem: 31671 Epoch: [36] [4980/5278] eta: 0:12:41 lr: 4.9407027605306024e-06 loss: 0.0278 (0.0316) loss_seg: 0.0298 (0.0338) loss_lansim: 0.0716 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6970 data: 0.0026 max mem: 31671 Epoch: [36] [4990/5278] eta: 0:12:16 lr: 4.937946099229628e-06 loss: 0.0292 (0.0316) loss_seg: 0.0319 (0.0338) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7035 data: 0.0027 max mem: 31671 Epoch: [36] [5000/5278] eta: 0:11:50 lr: 4.935189266925175e-06 loss: 0.0298 (0.0316) loss_seg: 0.0321 (0.0338) loss_lansim: 0.0705 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7022 data: 0.0027 max mem: 31671 Epoch: [36] [5010/5278] eta: 0:11:25 lr: 4.93243226350049e-06 loss: 0.0300 (0.0317) loss_seg: 0.0324 (0.0338) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.6951 data: 0.0027 max mem: 31671 Epoch: [36] [5020/5278] eta: 0:10:59 lr: 4.929675088838663e-06 loss: 0.0305 (0.0317) loss_seg: 0.0324 (0.0338) loss_lansim: 0.0705 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7004 data: 0.0027 max mem: 31671 Epoch: [36] [5030/5278] eta: 0:10:34 lr: 4.926917742822637e-06 loss: 0.0308 (0.0317) loss_seg: 0.0324 (0.0338) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7113 data: 0.0027 max mem: 31671 Epoch: [36] [5040/5278] eta: 0:10:08 lr: 4.924160225335181e-06 loss: 0.0302 (0.0317) loss_seg: 0.0321 (0.0338) loss_lansim: 0.0706 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7208 data: 0.0028 max mem: 31671 Epoch: [36] [5050/5278] eta: 0:09:43 lr: 4.921402536258936e-06 loss: 0.0303 (0.0317) loss_seg: 0.0323 (0.0338) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7230 data: 0.0028 max mem: 31671 Epoch: [36] [5060/5278] eta: 0:09:17 lr: 4.918644675476375e-06 loss: 0.0303 (0.0316) loss_seg: 0.0320 (0.0338) loss_lansim: 0.0706 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7258 data: 0.0028 max mem: 31671 Epoch: [36] [5070/5278] eta: 0:08:52 lr: 4.915886642869829e-06 loss: 0.0302 (0.0317) loss_seg: 0.0318 (0.0338) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7364 data: 0.0028 max mem: 31671 Epoch: [36] [5080/5278] eta: 0:08:26 lr: 4.913128438321455e-06 loss: 0.0302 (0.0317) loss_seg: 0.0318 (0.0338) loss_lansim: 0.0701 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7303 data: 0.0028 max mem: 31671 Epoch: [36] [5090/5278] eta: 0:08:01 lr: 4.910370061713275e-06 loss: 0.0291 (0.0317) loss_seg: 0.0303 (0.0338) loss_lansim: 0.0708 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7306 data: 0.0028 max mem: 31671 Epoch: [36] [5100/5278] eta: 0:07:35 lr: 4.907611512927148e-06 loss: 0.0284 (0.0316) loss_seg: 0.0296 (0.0338) loss_lansim: 0.0706 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7473 data: 0.0028 max mem: 31671 Epoch: [36] [5110/5278] eta: 0:07:10 lr: 4.90485279184478e-06 loss: 0.0279 (0.0316) loss_seg: 0.0296 (0.0338) loss_lansim: 0.0699 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7588 data: 0.0028 max mem: 31671 Epoch: [36] [5120/5278] eta: 0:06:44 lr: 4.902093898347725e-06 loss: 0.0284 (0.0316) loss_seg: 0.0301 (0.0338) loss_lansim: 0.0695 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7554 data: 0.0028 max mem: 31671 Epoch: [36] [5130/5278] eta: 0:06:18 lr: 4.899334832317368e-06 loss: 0.0279 (0.0316) loss_seg: 0.0301 (0.0338) loss_lansim: 0.0686 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7407 data: 0.0028 max mem: 31671 Epoch: [36] [5140/5278] eta: 0:05:53 lr: 4.8965755936349526e-06 loss: 0.0275 (0.0316) loss_seg: 0.0297 (0.0338) loss_lansim: 0.0685 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7492 data: 0.0028 max mem: 31671 Epoch: [36] [5150/5278] eta: 0:05:27 lr: 4.893816182181561e-06 loss: 0.0279 (0.0316) loss_seg: 0.0304 (0.0338) loss_lansim: 0.0685 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7471 data: 0.0028 max mem: 31671 Epoch: [36] [5160/5278] eta: 0:05:02 lr: 4.891056597838126e-06 loss: 0.0284 (0.0316) loss_seg: 0.0304 (0.0338) loss_lansim: 0.0683 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7474 data: 0.0028 max mem: 31671 Epoch: [36] [5170/5278] eta: 0:04:36 lr: 4.888296840485404e-06 loss: 0.0286 (0.0316) loss_seg: 0.0304 (0.0338) loss_lansim: 0.0674 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7396 data: 0.0028 max mem: 31671 Epoch: [36] [5180/5278] eta: 0:04:11 lr: 4.885536910004014e-06 loss: 0.0279 (0.0316) loss_seg: 0.0300 (0.0338) loss_lansim: 0.0669 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7302 data: 0.0028 max mem: 31671 Epoch: [36] [5190/5278] eta: 0:03:45 lr: 4.882776806274409e-06 loss: 0.0279 (0.0316) loss_seg: 0.0301 (0.0338) loss_lansim: 0.0671 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7488 data: 0.0028 max mem: 31671 Epoch: [36] [5200/5278] eta: 0:03:19 lr: 4.880016529176894e-06 loss: 0.0286 (0.0316) loss_seg: 0.0301 (0.0338) loss_lansim: 0.0672 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7470 data: 0.0028 max mem: 31671 Epoch: [36] [5210/5278] eta: 0:02:54 lr: 4.877256078591595e-06 loss: 0.0286 (0.0316) loss_seg: 0.0301 (0.0338) loss_lansim: 0.0674 (0.0708) loss_contra: 0.0000 (0.0011) time: 2.7531 data: 0.0029 max mem: 31671 Epoch: [36] [5220/5278] eta: 0:02:28 lr: 4.874495454398499e-06 loss: 0.0279 (0.0316) loss_seg: 0.0300 (0.0338) loss_lansim: 0.0678 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.7559 data: 0.0028 max mem: 31671 Epoch: [36] [5230/5278] eta: 0:02:03 lr: 4.871734656477428e-06 loss: 0.0279 (0.0316) loss_seg: 0.0299 (0.0338) loss_lansim: 0.0680 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.7694 data: 0.0028 max mem: 31671 Epoch: [36] [5240/5278] eta: 0:01:37 lr: 4.868973684708053e-06 loss: 0.0284 (0.0316) loss_seg: 0.0301 (0.0338) loss_lansim: 0.0683 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.7643 data: 0.0028 max mem: 31671 Epoch: [36] [5250/5278] eta: 0:01:11 lr: 4.8662125389698625e-06 loss: 0.0278 (0.0316) loss_seg: 0.0294 (0.0338) loss_lansim: 0.0680 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.7712 data: 0.0028 max mem: 31671 Epoch: [36] [5260/5278] eta: 0:00:46 lr: 4.8634512191422095e-06 loss: 0.0274 (0.0316) loss_seg: 0.0293 (0.0338) loss_lansim: 0.0683 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.7665 data: 0.0028 max mem: 31671 Epoch: [36] [5270/5278] eta: 0:00:20 lr: 4.860689725104278e-06 loss: 0.0273 (0.0316) loss_seg: 0.0287 (0.0338) loss_lansim: 0.0689 (0.0708) loss_contra: 0.0000 (0.0012) time: 2.7627 data: 0.0028 max mem: 31671 Epoch: [36] Total time: 3:45:43 Test: [ 0/2573] eta: 1:28:39 time: 2.0674 data: 1.8315 max mem: 31671 Test: [ 100/2573] eta: 0:06:43 time: 0.1440 data: 0.0017 max mem: 31671 Test: [ 200/2573] eta: 0:06:09 time: 0.1485 data: 0.0017 max mem: 31671 Test: [ 300/2573] eta: 0:05:45 time: 0.1446 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:27 time: 0.1457 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:10 time: 0.1475 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:56 time: 0.1522 data: 0.0017 max mem: 31671 Test: [ 700/2573] eta: 0:04:42 time: 0.1554 data: 0.0017 max mem: 31671 Test: [ 800/2573] eta: 0:04:28 time: 0.1530 data: 0.0017 max mem: 31671 Test: [ 900/2573] eta: 0:04:12 time: 0.1506 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:57 time: 0.1499 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:41 time: 0.1467 data: 0.0016 max mem: 31671 Test: [1200/2573] eta: 0:03:26 time: 0.1489 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:11 time: 0.1492 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:55 time: 0.1448 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:42 time: 0.1677 data: 0.0019 max mem: 31671 Test: [1600/2573] eta: 0:02:26 time: 0.1487 data: 0.0017 max mem: 31671 Test: [1700/2573] eta: 0:02:11 time: 0.1517 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:56 time: 0.1474 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:41 time: 0.1460 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:26 time: 0.1455 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:11 time: 0.1500 data: 0.0016 max mem: 31671 Test: [2200/2573] eta: 0:00:56 time: 0.1600 data: 0.0019 max mem: 31671 Test: [2300/2573] eta: 0:00:41 time: 0.1498 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:26 time: 0.1556 data: 0.0017 max mem: 31671 Test: [2500/2573] eta: 0:00:11 time: 0.1492 data: 0.0016 max mem: 31671 Test: Total time: 0:06:28 Final results: precision@0.5 = 72.51 precision@0.6 = 68.63 precision@0.7 = 62.48 precision@0.8 = 51.37 precision@0.9 = 26.23 overall IoU = 61.27 mean IoU = 64.34 Average object IoU 0.6434488897786217 Overall IoU 61.27029525730012 Better epoch: 36 The best_performance is 61.27029525730012 Epoch: [37] [ 0/5278] eta: 6:46:57 lr: 4.858480404361244e-06 loss: 0.0286 (0.0286) loss_seg: 0.0312 (0.0312) loss_lansim: 0.0827 (0.0827) loss_contra: 0.0000 (0.0000) time: 4.6264 data: 1.7324 max mem: 31671 Epoch: [37] [ 10/5278] eta: 4:13:44 lr: 4.855718596439846e-06 loss: 0.0300 (0.0306) loss_seg: 0.0312 (0.0316) loss_lansim: 0.0713 (0.0706) loss_contra: 0.0000 (0.0000) time: 2.8900 data: 0.1597 max mem: 31671 Epoch: [37] [ 20/5278] eta: 4:05:34 lr: 4.852956613969038e-06 loss: 0.0289 (0.0298) loss_seg: 0.0312 (0.0316) loss_lansim: 0.0703 (0.0717) loss_contra: 0.0000 (0.0000) time: 2.8022 data: 0.0846 max mem: 31671 Epoch: [37] [ 30/5278] eta: 4:02:11 lr: 4.850194456827384e-06 loss: 0.0300 (0.0341) loss_seg: 0.0327 (0.0365) loss_lansim: 0.0703 (0.0712) loss_contra: 0.0000 (0.0002) time: 2.7690 data: 0.0583 max mem: 31671 Epoch: [37] [ 40/5278] eta: 4:00:12 lr: 4.847432124893303e-06 loss: 0.0289 (0.0319) loss_seg: 0.0312 (0.0342) loss_lansim: 0.0702 (0.0708) loss_contra: 0.0000 (0.0002) time: 2.7514 data: 0.0448 max mem: 31671 Epoch: [37] [ 50/5278] eta: 3:58:20 lr: 4.844669618045045e-06 loss: 0.0283 (0.0307) loss_seg: 0.0307 (0.0329) loss_lansim: 0.0697 (0.0703) loss_contra: 0.0000 (0.0001) time: 2.7354 data: 0.0365 max mem: 31671 Epoch: [37] [ 60/5278] eta: 3:58:02 lr: 4.8419069361607075e-06 loss: 0.0281 (0.0314) loss_seg: 0.0300 (0.0336) loss_lansim: 0.0702 (0.0707) loss_contra: 0.0000 (0.0019) time: 2.7372 data: 0.0310 max mem: 31671 Epoch: [37] [ 70/5278] eta: 3:57:34 lr: 4.839144079118203e-06 loss: 0.0282 (0.0313) loss_seg: 0.0300 (0.0336) loss_lansim: 0.0702 (0.0704) loss_contra: 0.0000 (0.0016) time: 2.7370 data: 0.0270 max mem: 31671 Epoch: [37] [ 80/5278] eta: 3:57:24 lr: 4.836381046795303e-06 loss: 0.0279 (0.0310) loss_seg: 0.0298 (0.0332) loss_lansim: 0.0702 (0.0706) loss_contra: 0.0000 (0.0017) time: 2.7404 data: 0.0240 max mem: 31671 Epoch: [37] [ 90/5278] eta: 3:57:41 lr: 4.833617839069608e-06 loss: 0.0281 (0.0310) loss_seg: 0.0303 (0.0334) loss_lansim: 0.0713 (0.0707) loss_contra: 0.0000 (0.0016) time: 2.7490 data: 0.0217 max mem: 31671 Epoch: [37] [ 100/5278] eta: 3:56:32 lr: 4.8308544558185644e-06 loss: 0.0281 (0.0309) loss_seg: 0.0300 (0.0332) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0022) time: 2.7221 data: 0.0027 max mem: 31671 Epoch: [37] [ 110/5278] eta: 3:56:41 lr: 4.828090896919432e-06 loss: 0.0281 (0.0311) loss_seg: 0.0300 (0.0333) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0021) time: 2.7324 data: 0.0027 max mem: 31671 Epoch: [37] [ 120/5278] eta: 3:59:22 lr: 4.825327162249329e-06 loss: 0.0281 (0.0312) loss_seg: 0.0300 (0.0334) loss_lansim: 0.0709 (0.0712) loss_contra: 0.0000 (0.0019) time: 2.7807 data: 0.0028 max mem: 31671 Epoch: [37] [ 130/5278] eta: 4:01:44 lr: 4.8225632516852005e-06 loss: 0.0277 (0.0311) loss_seg: 0.0290 (0.0333) loss_lansim: 0.0694 (0.0709) loss_contra: 0.0000 (0.0018) time: 2.8326 data: 0.0028 max mem: 31671 Epoch: [37] [ 140/5278] eta: 4:01:03 lr: 4.819799165103829e-06 loss: 0.0282 (0.0310) loss_seg: 0.0299 (0.0333) loss_lansim: 0.0713 (0.0713) loss_contra: 0.0000 (0.0017) time: 2.8410 data: 0.0028 max mem: 31671 Epoch: [37] [ 150/5278] eta: 4:00:15 lr: 4.817034902381838e-06 loss: 0.0289 (0.0312) loss_seg: 0.0303 (0.0334) loss_lansim: 0.0718 (0.0714) loss_contra: 0.0000 (0.0016) time: 2.8497 data: 0.0028 max mem: 31671 Epoch: [37] [ 160/5278] eta: 3:59:14 lr: 4.814270463395666e-06 loss: 0.0303 (0.0315) loss_seg: 0.0306 (0.0337) loss_lansim: 0.0720 (0.0716) loss_contra: 0.0000 (0.0015) time: 2.8458 data: 0.0028 max mem: 31671 Epoch: [37] [ 170/5278] eta: 3:58:55 lr: 4.811505848021606e-06 loss: 0.0296 (0.0312) loss_seg: 0.0305 (0.0333) loss_lansim: 0.0715 (0.0713) loss_contra: 0.0000 (0.0014) time: 2.8558 data: 0.0028 max mem: 31671 Epoch: [37] [ 180/5278] eta: 3:58:44 lr: 4.808741056135777e-06 loss: 0.0307 (0.0314) loss_seg: 0.0333 (0.0335) loss_lansim: 0.0708 (0.0711) loss_contra: 0.0000 (0.0013) time: 2.8659 data: 0.0028 max mem: 31671 Epoch: [37] [ 190/5278] eta: 3:57:38 lr: 4.805976087614141e-06 loss: 0.0303 (0.0313) loss_seg: 0.0317 (0.0333) loss_lansim: 0.0694 (0.0710) loss_contra: 0.0000 (0.0013) time: 2.8508 data: 0.0028 max mem: 31671 Epoch: [37] [ 200/5278] eta: 3:56:47 lr: 4.803210942332471e-06 loss: 0.0296 (0.0310) loss_seg: 0.0306 (0.0330) loss_lansim: 0.0685 (0.0707) loss_contra: 0.0000 (0.0016) time: 2.8553 data: 0.0028 max mem: 31671 Epoch: [37] [ 210/5278] eta: 3:56:24 lr: 4.800445620166394e-06 loss: 0.0296 (0.0312) loss_seg: 0.0306 (0.0332) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0016) time: 2.8553 data: 0.0028 max mem: 31671 Epoch: [37] [ 220/5278] eta: 3:55:48 lr: 4.797680120991365e-06 loss: 0.0300 (0.0314) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0694 (0.0709) loss_contra: 0.0000 (0.0015) time: 2.8128 data: 0.0028 max mem: 31671 Epoch: [37] [ 230/5278] eta: 3:55:32 lr: 4.794914444682677e-06 loss: 0.0296 (0.0311) loss_seg: 0.0309 (0.0332) loss_lansim: 0.0708 (0.0709) loss_contra: 0.0000 (0.0015) time: 2.7761 data: 0.0027 max mem: 31671 Epoch: [37] [ 240/5278] eta: 3:54:53 lr: 4.792148591115433e-06 loss: 0.0289 (0.0310) loss_seg: 0.0301 (0.0330) loss_lansim: 0.0700 (0.0708) loss_contra: 0.0000 (0.0014) time: 2.7728 data: 0.0028 max mem: 31671 Epoch: [37] [ 250/5278] eta: 3:54:08 lr: 4.789382560164589e-06 loss: 0.0277 (0.0307) loss_seg: 0.0299 (0.0328) loss_lansim: 0.0695 (0.0706) loss_contra: 0.0000 (0.0014) time: 2.7682 data: 0.0028 max mem: 31671 Epoch: [37] [ 260/5278] eta: 3:53:32 lr: 4.786616351704929e-06 loss: 0.0274 (0.0306) loss_seg: 0.0296 (0.0327) loss_lansim: 0.0674 (0.0704) loss_contra: 0.0000 (0.0013) time: 2.7727 data: 0.0028 max mem: 31671 Epoch: [37] [ 270/5278] eta: 3:53:09 lr: 4.7838499656110705e-06 loss: 0.0274 (0.0304) loss_seg: 0.0291 (0.0325) loss_lansim: 0.0684 (0.0704) loss_contra: 0.0000 (0.0013) time: 2.7714 data: 0.0028 max mem: 31671 Epoch: [37] [ 280/5278] eta: 3:52:19 lr: 4.781083401757442e-06 loss: 0.0273 (0.0305) loss_seg: 0.0284 (0.0325) loss_lansim: 0.0687 (0.0705) loss_contra: 0.0000 (0.0012) time: 2.7512 data: 0.0028 max mem: 31671 Epoch: [37] [ 290/5278] eta: 3:51:51 lr: 4.778316660018328e-06 loss: 0.0275 (0.0305) loss_seg: 0.0296 (0.0326) loss_lansim: 0.0695 (0.0704) loss_contra: 0.0000 (0.0012) time: 2.7638 data: 0.0028 max mem: 31671 Epoch: [37] [ 300/5278] eta: 3:51:19 lr: 4.7755497402678274e-06 loss: 0.0275 (0.0304) loss_seg: 0.0293 (0.0324) loss_lansim: 0.0700 (0.0705) loss_contra: 0.0000 (0.0012) time: 2.7684 data: 0.0028 max mem: 31671 Epoch: [37] [ 310/5278] eta: 3:51:05 lr: 4.772782642379884e-06 loss: 0.0276 (0.0305) loss_seg: 0.0296 (0.0325) loss_lansim: 0.0685 (0.0705) loss_contra: 0.0000 (0.0011) time: 2.7746 data: 0.0029 max mem: 31671 Epoch: [37] [ 320/5278] eta: 3:50:27 lr: 4.770015366228246e-06 loss: 0.0279 (0.0306) loss_seg: 0.0297 (0.0327) loss_lansim: 0.0682 (0.0704) loss_contra: 0.0000 (0.0011) time: 2.7706 data: 0.0029 max mem: 31671 Epoch: [37] [ 330/5278] eta: 3:49:34 lr: 4.767247911686513e-06 loss: 0.0279 (0.0306) loss_seg: 0.0297 (0.0327) loss_lansim: 0.0675 (0.0704) loss_contra: 0.0000 (0.0011) time: 2.7474 data: 0.0029 max mem: 31671 Epoch: [37] [ 340/5278] eta: 3:48:44 lr: 4.764480278628107e-06 loss: 0.0294 (0.0308) loss_seg: 0.0321 (0.0329) loss_lansim: 0.0683 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.7358 data: 0.0029 max mem: 31671 Epoch: [37] [ 350/5278] eta: 3:48:11 lr: 4.761712466926281e-06 loss: 0.0299 (0.0308) loss_seg: 0.0323 (0.0329) loss_lansim: 0.0685 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.7393 data: 0.0028 max mem: 31671 Epoch: [37] [ 360/5278] eta: 3:47:29 lr: 4.758944476454102e-06 loss: 0.0305 (0.0308) loss_seg: 0.0328 (0.0329) loss_lansim: 0.0692 (0.0706) loss_contra: 0.0000 (0.0012) time: 2.7311 data: 0.0028 max mem: 31671 Epoch: [37] [ 370/5278] eta: 3:46:55 lr: 4.756176307084481e-06 loss: 0.0308 (0.0307) loss_seg: 0.0328 (0.0328) loss_lansim: 0.0685 (0.0705) loss_contra: 0.0000 (0.0011) time: 2.7219 data: 0.0029 max mem: 31671 Epoch: [37] [ 380/5278] eta: 3:46:11 lr: 4.75340795869015e-06 loss: 0.0301 (0.0307) loss_seg: 0.0325 (0.0328) loss_lansim: 0.0682 (0.0705) loss_contra: 0.0000 (0.0011) time: 2.7197 data: 0.0028 max mem: 31671 Epoch: [37] [ 390/5278] eta: 3:45:44 lr: 4.750639431143669e-06 loss: 0.0299 (0.0308) loss_seg: 0.0323 (0.0329) loss_lansim: 0.0692 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.7183 data: 0.0028 max mem: 31671 Epoch: [37] [ 400/5278] eta: 3:45:27 lr: 4.7478707243174315e-06 loss: 0.0295 (0.0307) loss_seg: 0.0323 (0.0328) loss_lansim: 0.0692 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.7285 data: 0.0029 max mem: 31671 Epoch: [37] [ 410/5278] eta: 3:44:51 lr: 4.745101838083636e-06 loss: 0.0293 (0.0308) loss_seg: 0.0308 (0.0329) loss_lansim: 0.0692 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.7107 data: 0.0028 max mem: 31671 Epoch: [37] [ 420/5278] eta: 3:44:12 lr: 4.742332772314329e-06 loss: 0.0275 (0.0306) loss_seg: 0.0298 (0.0327) loss_lansim: 0.0693 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.7055 data: 0.0028 max mem: 31671 Epoch: [37] [ 430/5278] eta: 3:43:44 lr: 4.739563526881374e-06 loss: 0.0280 (0.0307) loss_seg: 0.0305 (0.0327) loss_lansim: 0.0693 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.7201 data: 0.0028 max mem: 31671 Epoch: [37] [ 440/5278] eta: 3:43:24 lr: 4.736794101656466e-06 loss: 0.0272 (0.0307) loss_seg: 0.0289 (0.0328) loss_lansim: 0.0693 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.7406 data: 0.0028 max mem: 31671 Epoch: [37] [ 450/5278] eta: 3:43:05 lr: 4.73402449651111e-06 loss: 0.0273 (0.0307) loss_seg: 0.0297 (0.0328) loss_lansim: 0.0693 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.7518 data: 0.0029 max mem: 31671 Epoch: [37] [ 460/5278] eta: 3:42:42 lr: 4.7312547113166485e-06 loss: 0.0270 (0.0306) loss_seg: 0.0288 (0.0327) loss_lansim: 0.0694 (0.0705) loss_contra: 0.0000 (0.0011) time: 2.7665 data: 0.0029 max mem: 31671 Epoch: [37] [ 470/5278] eta: 3:42:04 lr: 4.728484745944246e-06 loss: 0.0271 (0.0307) loss_seg: 0.0293 (0.0328) loss_lansim: 0.0694 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.7610 data: 0.0029 max mem: 31671 Epoch: [37] [ 480/5278] eta: 3:41:37 lr: 4.725714600264896e-06 loss: 0.0272 (0.0306) loss_seg: 0.0296 (0.0328) loss_lansim: 0.0693 (0.0704) loss_contra: 0.0000 (0.0011) time: 2.7745 data: 0.0030 max mem: 31671 Epoch: [37] [ 490/5278] eta: 3:41:01 lr: 4.722944274149397e-06 loss: 0.0270 (0.0305) loss_seg: 0.0289 (0.0327) loss_lansim: 0.0692 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.7645 data: 0.0030 max mem: 31671 Epoch: [37] [ 500/5278] eta: 3:40:26 lr: 4.720173767468388e-06 loss: 0.0271 (0.0305) loss_seg: 0.0293 (0.0326) loss_lansim: 0.0693 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.7484 data: 0.0029 max mem: 31671 Epoch: [37] [ 510/5278] eta: 3:40:04 lr: 4.717403080092328e-06 loss: 0.0263 (0.0303) loss_seg: 0.0285 (0.0324) loss_lansim: 0.0693 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.7607 data: 0.0029 max mem: 31671 Epoch: [37] [ 520/5278] eta: 3:39:47 lr: 4.714632211891502e-06 loss: 0.0263 (0.0302) loss_seg: 0.0284 (0.0323) loss_lansim: 0.0692 (0.0704) loss_contra: 0.0000 (0.0010) time: 2.7824 data: 0.0030 max mem: 31671 Epoch: [37] [ 530/5278] eta: 3:39:13 lr: 4.711861162735998e-06 loss: 0.0260 (0.0302) loss_seg: 0.0280 (0.0323) loss_lansim: 0.0692 (0.0704) loss_contra: 0.0000 (0.0010) time: 2.7762 data: 0.0029 max mem: 31671 Epoch: [37] [ 540/5278] eta: 3:38:38 lr: 4.709089932495745e-06 loss: 0.0257 (0.0302) loss_seg: 0.0278 (0.0323) loss_lansim: 0.0692 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.7611 data: 0.0029 max mem: 31671 Epoch: [37] [ 550/5278] eta: 3:38:11 lr: 4.706318521040488e-06 loss: 0.0257 (0.0303) loss_seg: 0.0280 (0.0323) loss_lansim: 0.0687 (0.0703) loss_contra: 0.0000 (0.0010) time: 2.7534 data: 0.0028 max mem: 31671 Epoch: [37] [ 560/5278] eta: 3:37:37 lr: 4.7035469282398e-06 loss: 0.0255 (0.0303) loss_seg: 0.0276 (0.0324) loss_lansim: 0.0687 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7409 data: 0.0028 max mem: 31671 Epoch: [37] [ 570/5278] eta: 3:37:06 lr: 4.700775153963053e-06 loss: 0.0255 (0.0303) loss_seg: 0.0275 (0.0323) loss_lansim: 0.0692 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7461 data: 0.0027 max mem: 31671 Epoch: [37] [ 580/5278] eta: 3:36:43 lr: 4.698003198079459e-06 loss: 0.0260 (0.0303) loss_seg: 0.0276 (0.0324) loss_lansim: 0.0693 (0.0703) loss_contra: 0.0000 (0.0009) time: 2.7499 data: 0.0027 max mem: 31671 Epoch: [37] [ 590/5278] eta: 3:36:25 lr: 4.695231060458047e-06 loss: 0.0273 (0.0303) loss_seg: 0.0284 (0.0324) loss_lansim: 0.0690 (0.0703) loss_contra: 0.0000 (0.0009) time: 2.7709 data: 0.0027 max mem: 31671 Epoch: [37] [ 600/5278] eta: 3:35:53 lr: 4.692458740967668e-06 loss: 0.0268 (0.0304) loss_seg: 0.0284 (0.0324) loss_lansim: 0.0690 (0.0703) loss_contra: 0.0000 (0.0009) time: 2.7725 data: 0.0027 max mem: 31671 Epoch: [37] [ 610/5278] eta: 3:35:22 lr: 4.689686239476973e-06 loss: 0.0288 (0.0304) loss_seg: 0.0304 (0.0325) loss_lansim: 0.0692 (0.0703) loss_contra: 0.0000 (0.0009) time: 2.7635 data: 0.0027 max mem: 31671 Epoch: [37] [ 620/5278] eta: 3:34:56 lr: 4.686913555854454e-06 loss: 0.0289 (0.0304) loss_seg: 0.0315 (0.0325) loss_lansim: 0.0694 (0.0703) loss_contra: 0.0000 (0.0009) time: 2.7527 data: 0.0027 max mem: 31671 Epoch: [37] [ 630/5278] eta: 3:34:18 lr: 4.684140689968412e-06 loss: 0.0299 (0.0305) loss_seg: 0.0327 (0.0326) loss_lansim: 0.0694 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7456 data: 0.0027 max mem: 31671 Epoch: [37] [ 640/5278] eta: 3:33:40 lr: 4.6813676416869696e-06 loss: 0.0292 (0.0304) loss_seg: 0.0320 (0.0325) loss_lansim: 0.0693 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7396 data: 0.0027 max mem: 31671 Epoch: [37] [ 650/5278] eta: 3:33:16 lr: 4.67859441087807e-06 loss: 0.0279 (0.0303) loss_seg: 0.0305 (0.0324) loss_lansim: 0.0693 (0.0704) loss_contra: 0.0000 (0.0008) time: 2.7431 data: 0.0027 max mem: 31671 Epoch: [37] [ 660/5278] eta: 3:32:57 lr: 4.675820997409455e-06 loss: 0.0280 (0.0303) loss_seg: 0.0300 (0.0325) loss_lansim: 0.0693 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7621 data: 0.0028 max mem: 31671 Epoch: [37] [ 670/5278] eta: 3:32:26 lr: 4.6730474011487046e-06 loss: 0.0280 (0.0303) loss_seg: 0.0300 (0.0324) loss_lansim: 0.0691 (0.0704) loss_contra: 0.0000 (0.0008) time: 2.7614 data: 0.0028 max mem: 31671 Epoch: [37] [ 680/5278] eta: 3:31:50 lr: 4.670273621963208e-06 loss: 0.0272 (0.0303) loss_seg: 0.0294 (0.0323) loss_lansim: 0.0701 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7445 data: 0.0028 max mem: 31671 Epoch: [37] [ 690/5278] eta: 3:31:15 lr: 4.667499659720176e-06 loss: 0.0279 (0.0303) loss_seg: 0.0295 (0.0324) loss_lansim: 0.0701 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7213 data: 0.0028 max mem: 31671 Epoch: [37] [ 700/5278] eta: 3:30:48 lr: 4.664725514286617e-06 loss: 0.0280 (0.0304) loss_seg: 0.0299 (0.0325) loss_lansim: 0.0704 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7269 data: 0.0028 max mem: 31671 Epoch: [37] [ 710/5278] eta: 3:30:25 lr: 4.661951185529374e-06 loss: 0.0288 (0.0304) loss_seg: 0.0300 (0.0325) loss_lansim: 0.0696 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7365 data: 0.0028 max mem: 31671 Epoch: [37] [ 720/5278] eta: 3:29:55 lr: 4.6591766733151e-06 loss: 0.0288 (0.0304) loss_seg: 0.0300 (0.0325) loss_lansim: 0.0704 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7301 data: 0.0028 max mem: 31671 Epoch: [37] [ 730/5278] eta: 3:29:21 lr: 4.656401977510266e-06 loss: 0.0281 (0.0303) loss_seg: 0.0295 (0.0324) loss_lansim: 0.0706 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7343 data: 0.0028 max mem: 31671 Epoch: [37] [ 740/5278] eta: 3:28:58 lr: 4.6536270979811404e-06 loss: 0.0297 (0.0305) loss_seg: 0.0313 (0.0326) loss_lansim: 0.0704 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7548 data: 0.0028 max mem: 31671 Epoch: [37] [ 750/5278] eta: 3:28:42 lr: 4.650852034593824e-06 loss: 0.0299 (0.0305) loss_seg: 0.0318 (0.0326) loss_lansim: 0.0711 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7690 data: 0.0028 max mem: 31671 Epoch: [37] [ 760/5278] eta: 3:28:10 lr: 4.648076787214226e-06 loss: 0.0297 (0.0304) loss_seg: 0.0325 (0.0325) loss_lansim: 0.0719 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7494 data: 0.0027 max mem: 31671 Epoch: [37] [ 770/5278] eta: 3:27:44 lr: 4.645301355708072e-06 loss: 0.0300 (0.0304) loss_seg: 0.0325 (0.0325) loss_lansim: 0.0711 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7573 data: 0.0028 max mem: 31671 Epoch: [37] [ 780/5278] eta: 3:27:11 lr: 4.642525739940886e-06 loss: 0.0301 (0.0304) loss_seg: 0.0326 (0.0325) loss_lansim: 0.0711 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7594 data: 0.0028 max mem: 31671 Epoch: [37] [ 790/5278] eta: 3:26:44 lr: 4.639749939778019e-06 loss: 0.0297 (0.0304) loss_seg: 0.0325 (0.0325) loss_lansim: 0.0711 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7720 data: 0.0028 max mem: 31671 Epoch: [37] [ 800/5278] eta: 3:26:17 lr: 4.636973955084629e-06 loss: 0.0297 (0.0303) loss_seg: 0.0318 (0.0324) loss_lansim: 0.0696 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7713 data: 0.0028 max mem: 31671 Epoch: [37] [ 810/5278] eta: 3:25:49 lr: 4.634197785725696e-06 loss: 0.0297 (0.0303) loss_seg: 0.0318 (0.0324) loss_lansim: 0.0695 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7650 data: 0.0028 max mem: 31671 Epoch: [37] [ 820/5278] eta: 3:25:21 lr: 4.631421431565984e-06 loss: 0.0284 (0.0303) loss_seg: 0.0311 (0.0324) loss_lansim: 0.0695 (0.0704) loss_contra: 0.0000 (0.0008) time: 2.7689 data: 0.0028 max mem: 31671 Epoch: [37] [ 830/5278] eta: 3:24:53 lr: 4.628644892470095e-06 loss: 0.0284 (0.0303) loss_seg: 0.0301 (0.0324) loss_lansim: 0.0692 (0.0704) loss_contra: 0.0000 (0.0008) time: 2.7766 data: 0.0028 max mem: 31671 Epoch: [37] [ 840/5278] eta: 3:24:25 lr: 4.6258681683024295e-06 loss: 0.0284 (0.0304) loss_seg: 0.0299 (0.0325) loss_lansim: 0.0694 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7692 data: 0.0028 max mem: 31671 Epoch: [37] [ 850/5278] eta: 3:23:51 lr: 4.623091258927208e-06 loss: 0.0284 (0.0304) loss_seg: 0.0299 (0.0325) loss_lansim: 0.0694 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7378 data: 0.0028 max mem: 31671 Epoch: [37] [ 860/5278] eta: 3:23:18 lr: 4.620314164208441e-06 loss: 0.0284 (0.0305) loss_seg: 0.0311 (0.0326) loss_lansim: 0.0681 (0.0704) loss_contra: 0.0000 (0.0010) time: 2.7340 data: 0.0028 max mem: 31671 Epoch: [37] [ 870/5278] eta: 3:22:53 lr: 4.617536884009964e-06 loss: 0.0284 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0680 (0.0703) loss_contra: 0.0000 (0.0010) time: 2.7353 data: 0.0028 max mem: 31671 Epoch: [37] [ 880/5278] eta: 3:22:25 lr: 4.614759418195421e-06 loss: 0.0284 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0680 (0.0704) loss_contra: 0.0000 (0.0010) time: 2.7443 data: 0.0027 max mem: 31671 Epoch: [37] [ 890/5278] eta: 3:21:58 lr: 4.611981766628259e-06 loss: 0.0283 (0.0305) loss_seg: 0.0294 (0.0326) loss_lansim: 0.0694 (0.0704) loss_contra: 0.0000 (0.0010) time: 2.7436 data: 0.0027 max mem: 31671 Epoch: [37] [ 900/5278] eta: 3:21:32 lr: 4.609203929171741e-06 loss: 0.0283 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0695 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7471 data: 0.0027 max mem: 31671 Epoch: [37] [ 910/5278] eta: 3:21:03 lr: 4.60642590568892e-06 loss: 0.0283 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0698 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7426 data: 0.0028 max mem: 31671 Epoch: [37] [ 920/5278] eta: 3:20:27 lr: 4.603647696042676e-06 loss: 0.0283 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0694 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7265 data: 0.0028 max mem: 31671 Epoch: [37] [ 930/5278] eta: 3:19:54 lr: 4.600869300095685e-06 loss: 0.0283 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0694 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7145 data: 0.0027 max mem: 31671 Epoch: [37] [ 940/5278] eta: 3:19:33 lr: 4.5980907177104414e-06 loss: 0.0283 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0688 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7308 data: 0.0028 max mem: 31671 Epoch: [37] [ 950/5278] eta: 3:19:09 lr: 4.595311948749224e-06 loss: 0.0283 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0680 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7488 data: 0.0028 max mem: 31671 Epoch: [37] [ 960/5278] eta: 3:18:39 lr: 4.592532993074135e-06 loss: 0.0286 (0.0305) loss_seg: 0.0300 (0.0326) loss_lansim: 0.0679 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7557 data: 0.0028 max mem: 31671 Epoch: [37] [ 970/5278] eta: 3:18:06 lr: 4.589753850547079e-06 loss: 0.0294 (0.0305) loss_seg: 0.0315 (0.0327) loss_lansim: 0.0680 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7391 data: 0.0028 max mem: 31671 Epoch: [37] [ 980/5278] eta: 3:17:39 lr: 4.586974521029768e-06 loss: 0.0294 (0.0305) loss_seg: 0.0315 (0.0327) loss_lansim: 0.0684 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7386 data: 0.0028 max mem: 31671 Epoch: [37] [ 990/5278] eta: 3:17:13 lr: 4.584195004383703e-06 loss: 0.0294 (0.0305) loss_seg: 0.0314 (0.0326) loss_lansim: 0.0680 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7409 data: 0.0028 max mem: 31671 Epoch: [37] [1000/5278] eta: 3:16:48 lr: 4.581415300470204e-06 loss: 0.0294 (0.0305) loss_seg: 0.0315 (0.0326) loss_lansim: 0.0680 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7447 data: 0.0028 max mem: 31671 Epoch: [37] [1010/5278] eta: 3:16:22 lr: 4.578635409150394e-06 loss: 0.0288 (0.0304) loss_seg: 0.0307 (0.0326) loss_lansim: 0.0673 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7520 data: 0.0027 max mem: 31671 Epoch: [37] [1020/5278] eta: 3:15:55 lr: 4.5758553302851994e-06 loss: 0.0294 (0.0304) loss_seg: 0.0315 (0.0326) loss_lansim: 0.0667 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7688 data: 0.0027 max mem: 31671 Epoch: [37] [1030/5278] eta: 3:15:24 lr: 4.573075063735336e-06 loss: 0.0295 (0.0305) loss_seg: 0.0318 (0.0326) loss_lansim: 0.0681 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7734 data: 0.0027 max mem: 31671 Epoch: [37] [1040/5278] eta: 3:14:55 lr: 4.570294609361335e-06 loss: 0.0289 (0.0305) loss_seg: 0.0315 (0.0326) loss_lansim: 0.0681 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7546 data: 0.0027 max mem: 31671 Epoch: [37] [1050/5278] eta: 3:14:25 lr: 4.567513967023529e-06 loss: 0.0280 (0.0305) loss_seg: 0.0303 (0.0326) loss_lansim: 0.0681 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7429 data: 0.0026 max mem: 31671 Epoch: [37] [1060/5278] eta: 3:13:56 lr: 4.564733136582055e-06 loss: 0.0278 (0.0305) loss_seg: 0.0298 (0.0326) loss_lansim: 0.0690 (0.0704) loss_contra: 0.0000 (0.0009) time: 2.7438 data: 0.0026 max mem: 31671 Epoch: [37] [1070/5278] eta: 3:13:28 lr: 4.561952117896835e-06 loss: 0.0274 (0.0305) loss_seg: 0.0292 (0.0326) loss_lansim: 0.0697 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7523 data: 0.0026 max mem: 31671 Epoch: [37] [1080/5278] eta: 3:12:54 lr: 4.559170910827606e-06 loss: 0.0276 (0.0305) loss_seg: 0.0292 (0.0326) loss_lansim: 0.0703 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7372 data: 0.0026 max mem: 31671 Epoch: [37] [1090/5278] eta: 3:12:24 lr: 4.556389515233905e-06 loss: 0.0279 (0.0305) loss_seg: 0.0295 (0.0326) loss_lansim: 0.0701 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7260 data: 0.0025 max mem: 31671 Epoch: [37] [1100/5278] eta: 3:11:58 lr: 4.553607930975071e-06 loss: 0.0279 (0.0305) loss_seg: 0.0295 (0.0326) loss_lansim: 0.0705 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7228 data: 0.0026 max mem: 31671 Epoch: [37] [1110/5278] eta: 3:11:30 lr: 4.550826157910225e-06 loss: 0.0279 (0.0305) loss_seg: 0.0295 (0.0326) loss_lansim: 0.0711 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7185 data: 0.0026 max mem: 31671 Epoch: [37] [1120/5278] eta: 3:11:05 lr: 4.5480441958983045e-06 loss: 0.0280 (0.0306) loss_seg: 0.0303 (0.0327) loss_lansim: 0.0715 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7248 data: 0.0026 max mem: 31671 Epoch: [37] [1130/5278] eta: 3:10:33 lr: 4.545262044798042e-06 loss: 0.0281 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0711 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7207 data: 0.0027 max mem: 31671 Epoch: [37] [1140/5278] eta: 3:10:01 lr: 4.542479704467966e-06 loss: 0.0290 (0.0307) loss_seg: 0.0313 (0.0328) loss_lansim: 0.0709 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7109 data: 0.0027 max mem: 31671 Epoch: [37] [1150/5278] eta: 3:09:41 lr: 4.539697174766412e-06 loss: 0.0293 (0.0306) loss_seg: 0.0316 (0.0327) loss_lansim: 0.0709 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7370 data: 0.0027 max mem: 31671 Epoch: [37] [1160/5278] eta: 3:09:15 lr: 4.53691445555149e-06 loss: 0.0296 (0.0306) loss_seg: 0.0319 (0.0327) loss_lansim: 0.0709 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7435 data: 0.0027 max mem: 31671 Epoch: [37] [1170/5278] eta: 3:08:45 lr: 4.534131546681128e-06 loss: 0.0296 (0.0306) loss_seg: 0.0316 (0.0327) loss_lansim: 0.0698 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7390 data: 0.0028 max mem: 31671 Epoch: [37] [1180/5278] eta: 3:08:15 lr: 4.531348448013045e-06 loss: 0.0296 (0.0306) loss_seg: 0.0319 (0.0327) loss_lansim: 0.0684 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7481 data: 0.0028 max mem: 31671 Epoch: [37] [1190/5278] eta: 3:07:51 lr: 4.5285651594047594e-06 loss: 0.0282 (0.0306) loss_seg: 0.0304 (0.0327) loss_lansim: 0.0690 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7637 data: 0.0028 max mem: 31671 Epoch: [37] [1200/5278] eta: 3:07:19 lr: 4.525781680713569e-06 loss: 0.0282 (0.0306) loss_seg: 0.0300 (0.0327) loss_lansim: 0.0680 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7457 data: 0.0028 max mem: 31671 Epoch: [37] [1210/5278] eta: 3:06:47 lr: 4.522998011796587e-06 loss: 0.0273 (0.0306) loss_seg: 0.0300 (0.0327) loss_lansim: 0.0682 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7350 data: 0.0028 max mem: 31671 Epoch: [37] [1220/5278] eta: 3:06:22 lr: 4.520214152510711e-06 loss: 0.0273 (0.0306) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0686 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7331 data: 0.0027 max mem: 31671 Epoch: [37] [1230/5278] eta: 3:05:50 lr: 4.517430102712642e-06 loss: 0.0263 (0.0305) loss_seg: 0.0288 (0.0326) loss_lansim: 0.0686 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7327 data: 0.0027 max mem: 31671 Epoch: [37] [1240/5278] eta: 3:05:27 lr: 4.5146458622588555e-06 loss: 0.0268 (0.0305) loss_seg: 0.0290 (0.0326) loss_lansim: 0.0707 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.7574 data: 0.0027 max mem: 31671 Epoch: [37] [1250/5278] eta: 3:05:14 lr: 4.511861431005639e-06 loss: 0.0270 (0.0306) loss_seg: 0.0292 (0.0327) loss_lansim: 0.0693 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.7815 data: 0.0027 max mem: 31671 Epoch: [37] [1260/5278] eta: 3:04:59 lr: 4.509076808809066e-06 loss: 0.0268 (0.0305) loss_seg: 0.0286 (0.0326) loss_lansim: 0.0698 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.8181 data: 0.0028 max mem: 31671 Epoch: [37] [1270/5278] eta: 3:04:36 lr: 4.506291995525012e-06 loss: 0.0270 (0.0306) loss_seg: 0.0292 (0.0326) loss_lansim: 0.0694 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.8424 data: 0.0028 max mem: 31671 Epoch: [37] [1280/5278] eta: 3:04:09 lr: 4.503506991009122e-06 loss: 0.0270 (0.0306) loss_seg: 0.0294 (0.0327) loss_lansim: 0.0701 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.8518 data: 0.0029 max mem: 31671 Epoch: [37] [1290/5278] eta: 3:03:43 lr: 4.500721795116854e-06 loss: 0.0274 (0.0306) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0698 (0.0705) loss_contra: 0.0000 (0.0008) time: 2.8481 data: 0.0029 max mem: 31671 Epoch: [37] [1300/5278] eta: 3:03:17 lr: 4.49793640770345e-06 loss: 0.0277 (0.0306) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0698 (0.0705) loss_contra: 0.0000 (0.0008) time: 2.8680 data: 0.0029 max mem: 31671 Epoch: [37] [1310/5278] eta: 3:02:48 lr: 4.4951508286239496e-06 loss: 0.0277 (0.0306) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0694 (0.0705) loss_contra: 0.0000 (0.0011) time: 2.8733 data: 0.0029 max mem: 31671 Epoch: [37] [1320/5278] eta: 3:02:19 lr: 4.492365057733161e-06 loss: 0.0277 (0.0306) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0694 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.8669 data: 0.0030 max mem: 31671 Epoch: [37] [1330/5278] eta: 3:01:54 lr: 4.489579094885708e-06 loss: 0.0284 (0.0307) loss_seg: 0.0302 (0.0328) loss_lansim: 0.0694 (0.0705) loss_contra: 0.0000 (0.0011) time: 2.8878 data: 0.0030 max mem: 31671 Epoch: [37] [1340/5278] eta: 3:01:29 lr: 4.486792939935992e-06 loss: 0.0282 (0.0307) loss_seg: 0.0300 (0.0328) loss_lansim: 0.0691 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.8848 data: 0.0030 max mem: 31671 Epoch: [37] [1350/5278] eta: 3:01:03 lr: 4.4840065927382095e-06 loss: 0.0285 (0.0307) loss_seg: 0.0302 (0.0328) loss_lansim: 0.0694 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8459 data: 0.0029 max mem: 31671 Epoch: [37] [1360/5278] eta: 3:00:37 lr: 4.4812200531463285e-06 loss: 0.0288 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0691 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.8115 data: 0.0029 max mem: 31671 Epoch: [37] [1370/5278] eta: 3:00:10 lr: 4.478433321014125e-06 loss: 0.0285 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0690 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.7974 data: 0.0028 max mem: 31671 Epoch: [37] [1380/5278] eta: 2:59:44 lr: 4.475646396195156e-06 loss: 0.0285 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0690 (0.0705) loss_contra: 0.0000 (0.0010) time: 2.8034 data: 0.0028 max mem: 31671 Epoch: [37] [1390/5278] eta: 2:59:21 lr: 4.4728592785427625e-06 loss: 0.0288 (0.0308) loss_seg: 0.0307 (0.0329) loss_lansim: 0.0700 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8163 data: 0.0028 max mem: 31671 Epoch: [37] [1400/5278] eta: 2:58:58 lr: 4.470071967910083e-06 loss: 0.0283 (0.0308) loss_seg: 0.0304 (0.0329) loss_lansim: 0.0696 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8255 data: 0.0029 max mem: 31671 Epoch: [37] [1410/5278] eta: 2:58:31 lr: 4.467284464150019e-06 loss: 0.0285 (0.0308) loss_seg: 0.0309 (0.0329) loss_lansim: 0.0709 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8374 data: 0.0029 max mem: 31671 Epoch: [37] [1420/5278] eta: 2:58:04 lr: 4.464496767115281e-06 loss: 0.0281 (0.0308) loss_seg: 0.0304 (0.0329) loss_lansim: 0.0694 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8414 data: 0.0029 max mem: 31671 Epoch: [37] [1430/5278] eta: 2:57:37 lr: 4.461708876658356e-06 loss: 0.0281 (0.0308) loss_seg: 0.0308 (0.0329) loss_lansim: 0.0694 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8376 data: 0.0028 max mem: 31671 Epoch: [37] [1440/5278] eta: 2:57:10 lr: 4.458920792631523e-06 loss: 0.0281 (0.0308) loss_seg: 0.0308 (0.0329) loss_lansim: 0.0691 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8311 data: 0.0029 max mem: 31671 Epoch: [37] [1450/5278] eta: 2:56:44 lr: 4.456132514886827e-06 loss: 0.0274 (0.0307) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0698 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8313 data: 0.0029 max mem: 31671 Epoch: [37] [1460/5278] eta: 2:56:19 lr: 4.453344043276114e-06 loss: 0.0276 (0.0308) loss_seg: 0.0300 (0.0329) loss_lansim: 0.0709 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8402 data: 0.0029 max mem: 31671 Epoch: [37] [1470/5278] eta: 2:55:50 lr: 4.45055537765101e-06 loss: 0.0276 (0.0308) loss_seg: 0.0295 (0.0329) loss_lansim: 0.0709 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8333 data: 0.0029 max mem: 31671 Epoch: [37] [1480/5278] eta: 2:55:25 lr: 4.447766517862928e-06 loss: 0.0276 (0.0308) loss_seg: 0.0295 (0.0329) loss_lansim: 0.0709 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8365 data: 0.0029 max mem: 31671 Epoch: [37] [1490/5278] eta: 2:54:59 lr: 4.4449774637630444e-06 loss: 0.0273 (0.0308) loss_seg: 0.0295 (0.0329) loss_lansim: 0.0691 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8259 data: 0.0028 max mem: 31671 Epoch: [37] [1500/5278] eta: 2:54:32 lr: 4.442188215202341e-06 loss: 0.0266 (0.0308) loss_seg: 0.0282 (0.0329) loss_lansim: 0.0699 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8131 data: 0.0028 max mem: 31671 Epoch: [37] [1510/5278] eta: 2:54:04 lr: 4.439398772031568e-06 loss: 0.0259 (0.0308) loss_seg: 0.0282 (0.0330) loss_lansim: 0.0698 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8077 data: 0.0028 max mem: 31671 Epoch: [37] [1520/5278] eta: 2:53:38 lr: 4.43660913410127e-06 loss: 0.0258 (0.0308) loss_seg: 0.0281 (0.0329) loss_lansim: 0.0709 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8145 data: 0.0028 max mem: 31671 Epoch: [37] [1530/5278] eta: 2:53:14 lr: 4.433819301261748e-06 loss: 0.0259 (0.0308) loss_seg: 0.0282 (0.0330) loss_lansim: 0.0714 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.8250 data: 0.0028 max mem: 31671 Epoch: [37] [1540/5278] eta: 2:52:46 lr: 4.431029273363105e-06 loss: 0.0270 (0.0308) loss_seg: 0.0282 (0.0329) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.8230 data: 0.0028 max mem: 31671 Epoch: [37] [1550/5278] eta: 2:52:18 lr: 4.428239050255216e-06 loss: 0.0278 (0.0308) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0708 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.8158 data: 0.0028 max mem: 31671 Epoch: [37] [1560/5278] eta: 2:51:48 lr: 4.425448631787745e-06 loss: 0.0273 (0.0308) loss_seg: 0.0299 (0.0330) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7962 data: 0.0028 max mem: 31671 Epoch: [37] [1570/5278] eta: 2:51:24 lr: 4.4226580178101104e-06 loss: 0.0270 (0.0308) loss_seg: 0.0293 (0.0329) loss_lansim: 0.0714 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.8178 data: 0.0028 max mem: 31671 Epoch: [37] [1580/5278] eta: 2:51:00 lr: 4.419867208171532e-06 loss: 0.0272 (0.0308) loss_seg: 0.0297 (0.0330) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.8239 data: 0.0028 max mem: 31671 Epoch: [37] [1590/5278] eta: 2:50:34 lr: 4.417076202720999e-06 loss: 0.0270 (0.0308) loss_seg: 0.0293 (0.0329) loss_lansim: 0.0700 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8235 data: 0.0028 max mem: 31671 Epoch: [37] [1600/5278] eta: 2:50:09 lr: 4.414285001307285e-06 loss: 0.0278 (0.0308) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0698 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8362 data: 0.0028 max mem: 31671 Epoch: [37] [1610/5278] eta: 2:49:45 lr: 4.411493603778923e-06 loss: 0.0280 (0.0308) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0700 (0.0707) loss_contra: 0.0000 (0.0011) time: 2.8522 data: 0.0028 max mem: 31671 Epoch: [37] [1620/5278] eta: 2:49:18 lr: 4.408702009984238e-06 loss: 0.0282 (0.0308) loss_seg: 0.0303 (0.0329) loss_lansim: 0.0700 (0.0707) loss_contra: 0.0000 (0.0011) time: 2.8467 data: 0.0028 max mem: 31671 Epoch: [37] [1630/5278] eta: 2:48:49 lr: 4.405910219771326e-06 loss: 0.0278 (0.0308) loss_seg: 0.0297 (0.0329) loss_lansim: 0.0698 (0.0706) loss_contra: 0.0000 (0.0011) time: 2.8288 data: 0.0028 max mem: 31671 Epoch: [37] [1640/5278] eta: 2:48:21 lr: 4.403118232988062e-06 loss: 0.0286 (0.0309) loss_seg: 0.0303 (0.0330) loss_lansim: 0.0692 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8292 data: 0.0028 max mem: 31671 Epoch: [37] [1650/5278] eta: 2:47:54 lr: 4.4003260494820956e-06 loss: 0.0290 (0.0309) loss_seg: 0.0303 (0.0330) loss_lansim: 0.0688 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.8351 data: 0.0028 max mem: 31671 Epoch: [37] [1660/5278] eta: 2:47:25 lr: 4.397533669100837e-06 loss: 0.0290 (0.0309) loss_seg: 0.0304 (0.0330) loss_lansim: 0.0692 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.8376 data: 0.0029 max mem: 31671 Epoch: [37] [1670/5278] eta: 2:46:56 lr: 4.394741091691487e-06 loss: 0.0297 (0.0309) loss_seg: 0.0314 (0.0330) loss_lansim: 0.0696 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.8159 data: 0.0029 max mem: 31671 Epoch: [37] [1680/5278] eta: 2:46:28 lr: 4.391948317101014e-06 loss: 0.0293 (0.0309) loss_seg: 0.0310 (0.0330) loss_lansim: 0.0702 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7985 data: 0.0029 max mem: 31671 Epoch: [37] [1690/5278] eta: 2:45:59 lr: 4.389155345176166e-06 loss: 0.0308 (0.0309) loss_seg: 0.0326 (0.0331) loss_lansim: 0.0709 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7890 data: 0.0029 max mem: 31671 Epoch: [37] [1700/5278] eta: 2:45:33 lr: 4.386362175763445e-06 loss: 0.0297 (0.0309) loss_seg: 0.0317 (0.0330) loss_lansim: 0.0709 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7821 data: 0.0028 max mem: 31671 Epoch: [37] [1710/5278] eta: 2:45:04 lr: 4.383568808709141e-06 loss: 0.0307 (0.0309) loss_seg: 0.0326 (0.0331) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7587 data: 0.0028 max mem: 31671 Epoch: [37] [1720/5278] eta: 2:44:35 lr: 4.380775243859313e-06 loss: 0.0314 (0.0310) loss_seg: 0.0327 (0.0331) loss_lansim: 0.0700 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7511 data: 0.0028 max mem: 31671 Epoch: [37] [1730/5278] eta: 2:44:09 lr: 4.377981481059794e-06 loss: 0.0314 (0.0310) loss_seg: 0.0334 (0.0331) loss_lansim: 0.0702 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7645 data: 0.0028 max mem: 31671 Epoch: [37] [1740/5278] eta: 2:43:42 lr: 4.3751875201561705e-06 loss: 0.0308 (0.0310) loss_seg: 0.0324 (0.0331) loss_lansim: 0.0709 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7682 data: 0.0027 max mem: 31671 Epoch: [37] [1750/5278] eta: 2:43:13 lr: 4.372393360993818e-06 loss: 0.0308 (0.0310) loss_seg: 0.0322 (0.0331) loss_lansim: 0.0711 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7592 data: 0.0027 max mem: 31671 Epoch: [37] [1760/5278] eta: 2:42:46 lr: 4.369599003417873e-06 loss: 0.0303 (0.0310) loss_seg: 0.0318 (0.0331) loss_lansim: 0.0713 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7669 data: 0.0027 max mem: 31671 Epoch: [37] [1770/5278] eta: 2:42:18 lr: 4.3668044472732494e-06 loss: 0.0303 (0.0310) loss_seg: 0.0318 (0.0331) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7759 data: 0.0027 max mem: 31671 Epoch: [37] [1780/5278] eta: 2:41:53 lr: 4.36400969240461e-06 loss: 0.0309 (0.0310) loss_seg: 0.0324 (0.0332) loss_lansim: 0.0698 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7898 data: 0.0027 max mem: 31671 Epoch: [37] [1790/5278] eta: 2:41:26 lr: 4.361214738656402e-06 loss: 0.0290 (0.0310) loss_seg: 0.0314 (0.0331) loss_lansim: 0.0700 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.7960 data: 0.0027 max mem: 31671 Epoch: [37] [1800/5278] eta: 2:40:56 lr: 4.3584195858728385e-06 loss: 0.0303 (0.0310) loss_seg: 0.0314 (0.0331) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.7800 data: 0.0027 max mem: 31671 Epoch: [37] [1810/5278] eta: 2:40:29 lr: 4.355624233897902e-06 loss: 0.0292 (0.0310) loss_seg: 0.0312 (0.0331) loss_lansim: 0.0710 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.7899 data: 0.0027 max mem: 31671 Epoch: [37] [1820/5278] eta: 2:40:02 lr: 4.352828682575323e-06 loss: 0.0292 (0.0310) loss_seg: 0.0315 (0.0331) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.8002 data: 0.0027 max mem: 31671 Epoch: [37] [1830/5278] eta: 2:39:34 lr: 4.350032931748618e-06 loss: 0.0286 (0.0310) loss_seg: 0.0312 (0.0331) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.7893 data: 0.0027 max mem: 31671 Epoch: [37] [1840/5278] eta: 2:39:06 lr: 4.347236981261061e-06 loss: 0.0281 (0.0309) loss_seg: 0.0307 (0.0331) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.7848 data: 0.0027 max mem: 31671 Epoch: [37] [1850/5278] eta: 2:38:35 lr: 4.344440830955692e-06 loss: 0.0275 (0.0309) loss_seg: 0.0298 (0.0330) loss_lansim: 0.0710 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.7776 data: 0.0027 max mem: 31671 Epoch: [37] [1860/5278] eta: 2:38:09 lr: 4.341644480675322e-06 loss: 0.0281 (0.0310) loss_seg: 0.0301 (0.0331) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.7811 data: 0.0027 max mem: 31671 Epoch: [37] [1870/5278] eta: 2:37:50 lr: 4.338847930262504e-06 loss: 0.0281 (0.0309) loss_seg: 0.0301 (0.0331) loss_lansim: 0.0718 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.8287 data: 0.0028 max mem: 31671 Epoch: [37] [1880/5278] eta: 2:37:22 lr: 4.336051179559575e-06 loss: 0.0275 (0.0309) loss_seg: 0.0297 (0.0331) loss_lansim: 0.0728 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8118 data: 0.0027 max mem: 31671 Epoch: [37] [1890/5278] eta: 2:36:58 lr: 4.333254228408631e-06 loss: 0.0281 (0.0310) loss_seg: 0.0298 (0.0331) loss_lansim: 0.0724 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8350 data: 0.0028 max mem: 31671 Epoch: [37] [1900/5278] eta: 2:36:29 lr: 4.330457076651531e-06 loss: 0.0286 (0.0310) loss_seg: 0.0301 (0.0331) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0010) time: 2.8355 data: 0.0028 max mem: 31671 Epoch: [37] [1910/5278] eta: 2:36:04 lr: 4.327659724129881e-06 loss: 0.0286 (0.0309) loss_seg: 0.0298 (0.0331) loss_lansim: 0.0723 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8508 data: 0.0028 max mem: 31671 Epoch: [37] [1920/5278] eta: 2:35:43 lr: 4.3248621706850655e-06 loss: 0.0281 (0.0310) loss_seg: 0.0297 (0.0331) loss_lansim: 0.0728 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8836 data: 0.0028 max mem: 31671 Epoch: [37] [1930/5278] eta: 2:35:20 lr: 4.322064416158223e-06 loss: 0.0282 (0.0309) loss_seg: 0.0301 (0.0330) loss_lansim: 0.0723 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.9179 data: 0.0029 max mem: 31671 Epoch: [37] [1940/5278] eta: 2:34:52 lr: 4.31926646039026e-06 loss: 0.0281 (0.0309) loss_seg: 0.0298 (0.0330) loss_lansim: 0.0714 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.9146 data: 0.0028 max mem: 31671 Epoch: [37] [1950/5278] eta: 2:34:25 lr: 4.31646830322182e-06 loss: 0.0287 (0.0310) loss_seg: 0.0309 (0.0331) loss_lansim: 0.0731 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.9326 data: 0.0029 max mem: 31671 Epoch: [37] [1960/5278] eta: 2:34:03 lr: 4.313669944493329e-06 loss: 0.0286 (0.0310) loss_seg: 0.0308 (0.0331) loss_lansim: 0.0714 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.9665 data: 0.0029 max mem: 31671 Epoch: [37] [1970/5278] eta: 2:33:36 lr: 4.310871384044961e-06 loss: 0.0281 (0.0310) loss_seg: 0.0303 (0.0331) loss_lansim: 0.0703 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.9192 data: 0.0029 max mem: 31671 Epoch: [37] [1980/5278] eta: 2:33:06 lr: 4.3080726217166585e-06 loss: 0.0281 (0.0310) loss_seg: 0.0307 (0.0331) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.9128 data: 0.0029 max mem: 31671 Epoch: [37] [1990/5278] eta: 2:32:38 lr: 4.305273657348096e-06 loss: 0.0287 (0.0310) loss_seg: 0.0315 (0.0331) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8876 data: 0.0029 max mem: 31671 Epoch: [37] [2000/5278] eta: 2:32:09 lr: 4.302474490778732e-06 loss: 0.0287 (0.0310) loss_seg: 0.0309 (0.0331) loss_lansim: 0.0702 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8914 data: 0.0029 max mem: 31671 Epoch: [37] [2010/5278] eta: 2:31:41 lr: 4.299675121847768e-06 loss: 0.0281 (0.0309) loss_seg: 0.0307 (0.0331) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8745 data: 0.0029 max mem: 31671 Epoch: [37] [2020/5278] eta: 2:31:13 lr: 4.29687555039417e-06 loss: 0.0277 (0.0309) loss_seg: 0.0300 (0.0330) loss_lansim: 0.0702 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8327 data: 0.0028 max mem: 31671 Epoch: [37] [2030/5278] eta: 2:30:46 lr: 4.294075776256642e-06 loss: 0.0277 (0.0309) loss_seg: 0.0300 (0.0330) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8090 data: 0.0028 max mem: 31671 Epoch: [37] [2040/5278] eta: 2:30:21 lr: 4.291275799273658e-06 loss: 0.0290 (0.0309) loss_seg: 0.0314 (0.0330) loss_lansim: 0.0702 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8325 data: 0.0029 max mem: 31671 Epoch: [37] [2050/5278] eta: 2:29:53 lr: 4.288475619283444e-06 loss: 0.0277 (0.0309) loss_seg: 0.0300 (0.0330) loss_lansim: 0.0694 (0.0709) loss_contra: 0.0000 (0.0010) time: 2.8274 data: 0.0029 max mem: 31671 Epoch: [37] [2060/5278] eta: 2:29:24 lr: 4.28567523612398e-06 loss: 0.0272 (0.0309) loss_seg: 0.0291 (0.0330) loss_lansim: 0.0710 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7819 data: 0.0028 max mem: 31671 Epoch: [37] [2070/5278] eta: 2:28:55 lr: 4.282874649632987e-06 loss: 0.0272 (0.0309) loss_seg: 0.0290 (0.0330) loss_lansim: 0.0709 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7717 data: 0.0028 max mem: 31671 Epoch: [37] [2080/5278] eta: 2:28:27 lr: 4.2800738596479515e-06 loss: 0.0271 (0.0309) loss_seg: 0.0290 (0.0330) loss_lansim: 0.0709 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7790 data: 0.0028 max mem: 31671 Epoch: [37] [2090/5278] eta: 2:27:59 lr: 4.27727286600611e-06 loss: 0.0266 (0.0309) loss_seg: 0.0283 (0.0330) loss_lansim: 0.0711 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7816 data: 0.0028 max mem: 31671 Epoch: [37] [2100/5278] eta: 2:27:30 lr: 4.2744716685444444e-06 loss: 0.0266 (0.0309) loss_seg: 0.0283 (0.0330) loss_lansim: 0.0711 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7783 data: 0.0028 max mem: 31671 Epoch: [37] [2110/5278] eta: 2:27:01 lr: 4.271670267099702e-06 loss: 0.0263 (0.0309) loss_seg: 0.0277 (0.0329) loss_lansim: 0.0711 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7738 data: 0.0029 max mem: 31671 Epoch: [37] [2120/5278] eta: 2:26:33 lr: 4.268868661508353e-06 loss: 0.0266 (0.0309) loss_seg: 0.0282 (0.0329) loss_lansim: 0.0711 (0.0710) loss_contra: 0.0000 (0.0010) time: 2.7788 data: 0.0029 max mem: 31671 Epoch: [37] [2130/5278] eta: 2:26:05 lr: 4.266066851606642e-06 loss: 0.0272 (0.0309) loss_seg: 0.0290 (0.0329) loss_lansim: 0.0715 (0.0710) loss_contra: 0.0000 (0.0010) time: 2.7717 data: 0.0029 max mem: 31671 Epoch: [37] [2140/5278] eta: 2:25:36 lr: 4.263264837230553e-06 loss: 0.0271 (0.0309) loss_seg: 0.0286 (0.0330) loss_lansim: 0.0715 (0.0710) loss_contra: 0.0000 (0.0010) time: 2.7418 data: 0.0029 max mem: 31671 Epoch: [37] [2150/5278] eta: 2:25:07 lr: 4.260462618215826e-06 loss: 0.0272 (0.0309) loss_seg: 0.0289 (0.0330) loss_lansim: 0.0714 (0.0710) loss_contra: 0.0000 (0.0010) time: 2.7342 data: 0.0029 max mem: 31671 Epoch: [37] [2160/5278] eta: 2:24:40 lr: 4.2576601943979294e-06 loss: 0.0279 (0.0309) loss_seg: 0.0295 (0.0330) loss_lansim: 0.0711 (0.0710) loss_contra: 0.0000 (0.0009) time: 2.7444 data: 0.0029 max mem: 31671 Epoch: [37] [2170/5278] eta: 2:24:11 lr: 4.254857565612099e-06 loss: 0.0276 (0.0309) loss_seg: 0.0295 (0.0329) loss_lansim: 0.0719 (0.0710) loss_contra: 0.0000 (0.0009) time: 2.7489 data: 0.0029 max mem: 31671 Epoch: [37] [2180/5278] eta: 2:23:44 lr: 4.25205473169331e-06 loss: 0.0276 (0.0309) loss_seg: 0.0296 (0.0329) loss_lansim: 0.0714 (0.0710) loss_contra: 0.0000 (0.0009) time: 2.7548 data: 0.0029 max mem: 31671 Epoch: [37] [2190/5278] eta: 2:23:15 lr: 4.249251692476291e-06 loss: 0.0279 (0.0309) loss_seg: 0.0296 (0.0329) loss_lansim: 0.0711 (0.0710) loss_contra: 0.0000 (0.0009) time: 2.7439 data: 0.0029 max mem: 31671 Epoch: [37] [2200/5278] eta: 2:22:47 lr: 4.246448447795495e-06 loss: 0.0272 (0.0308) loss_seg: 0.0289 (0.0329) loss_lansim: 0.0706 (0.0710) loss_contra: 0.0000 (0.0009) time: 2.7527 data: 0.0029 max mem: 31671 Epoch: [37] [2210/5278] eta: 2:22:22 lr: 4.2436449974851415e-06 loss: 0.0276 (0.0308) loss_seg: 0.0296 (0.0329) loss_lansim: 0.0696 (0.0710) loss_contra: 0.0000 (0.0009) time: 2.7796 data: 0.0029 max mem: 31671 Epoch: [37] [2220/5278] eta: 2:21:59 lr: 4.240841341379187e-06 loss: 0.0293 (0.0309) loss_seg: 0.0305 (0.0329) loss_lansim: 0.0691 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8173 data: 0.0029 max mem: 31671 Epoch: [37] [2230/5278] eta: 2:21:32 lr: 4.238037479311339e-06 loss: 0.0276 (0.0308) loss_seg: 0.0298 (0.0329) loss_lansim: 0.0691 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8242 data: 0.0030 max mem: 31671 Epoch: [37] [2240/5278] eta: 2:21:10 lr: 4.235233411115028e-06 loss: 0.0276 (0.0308) loss_seg: 0.0302 (0.0329) loss_lansim: 0.0691 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8775 data: 0.0030 max mem: 31671 Epoch: [37] [2250/5278] eta: 2:20:47 lr: 4.232429136623446e-06 loss: 0.0276 (0.0308) loss_seg: 0.0302 (0.0329) loss_lansim: 0.0693 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9242 data: 0.0030 max mem: 31671 Epoch: [37] [2260/5278] eta: 2:20:26 lr: 4.229624655669523e-06 loss: 0.0283 (0.0309) loss_seg: 0.0310 (0.0329) loss_lansim: 0.0692 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9670 data: 0.0031 max mem: 31671 Epoch: [37] [2270/5278] eta: 2:19:58 lr: 4.226819968085934e-06 loss: 0.0283 (0.0309) loss_seg: 0.0310 (0.0329) loss_lansim: 0.0688 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9701 data: 0.0030 max mem: 31671 Epoch: [37] [2280/5278] eta: 2:19:30 lr: 4.224015073705078e-06 loss: 0.0283 (0.0309) loss_seg: 0.0310 (0.0329) loss_lansim: 0.0688 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9747 data: 0.0030 max mem: 31671 Epoch: [37] [2290/5278] eta: 2:19:02 lr: 4.221209972359113e-06 loss: 0.0286 (0.0309) loss_seg: 0.0310 (0.0329) loss_lansim: 0.0688 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9820 data: 0.0030 max mem: 31671 Epoch: [37] [2300/5278] eta: 2:18:35 lr: 4.21840466387993e-06 loss: 0.0307 (0.0309) loss_seg: 0.0317 (0.0329) loss_lansim: 0.0688 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9884 data: 0.0030 max mem: 31671 Epoch: [37] [2310/5278] eta: 2:18:07 lr: 4.215599148099164e-06 loss: 0.0308 (0.0309) loss_seg: 0.0330 (0.0329) loss_lansim: 0.0689 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9662 data: 0.0030 max mem: 31671 Epoch: [37] [2320/5278] eta: 2:17:41 lr: 4.212793424848172e-06 loss: 0.0290 (0.0309) loss_seg: 0.0315 (0.0329) loss_lansim: 0.0692 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9416 data: 0.0029 max mem: 31671 Epoch: [37] [2330/5278] eta: 2:17:13 lr: 4.209987493958066e-06 loss: 0.0295 (0.0309) loss_seg: 0.0317 (0.0329) loss_lansim: 0.0691 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9364 data: 0.0029 max mem: 31671 Epoch: [37] [2340/5278] eta: 2:16:45 lr: 4.2071813552596905e-06 loss: 0.0290 (0.0309) loss_seg: 0.0315 (0.0329) loss_lansim: 0.0687 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8956 data: 0.0029 max mem: 31671 Epoch: [37] [2350/5278] eta: 2:16:22 lr: 4.204375008583627e-06 loss: 0.0295 (0.0309) loss_seg: 0.0322 (0.0329) loss_lansim: 0.0687 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8960 data: 0.0029 max mem: 31671 Epoch: [37] [2360/5278] eta: 2:15:57 lr: 4.201568453760198e-06 loss: 0.0292 (0.0309) loss_seg: 0.0317 (0.0330) loss_lansim: 0.0687 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8745 data: 0.0028 max mem: 31671 Epoch: [37] [2370/5278] eta: 2:15:29 lr: 4.198761690619442e-06 loss: 0.0290 (0.0309) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0679 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.8768 data: 0.0029 max mem: 31671 Epoch: [37] [2380/5278] eta: 2:15:01 lr: 4.1959547189911535e-06 loss: 0.0289 (0.0309) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0683 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.8726 data: 0.0029 max mem: 31671 Epoch: [37] [2390/5278] eta: 2:14:33 lr: 4.193147538704853e-06 loss: 0.0288 (0.0309) loss_seg: 0.0297 (0.0329) loss_lansim: 0.0687 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8739 data: 0.0029 max mem: 31671 Epoch: [37] [2400/5278] eta: 2:14:06 lr: 4.190340149589804e-06 loss: 0.0289 (0.0309) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0688 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8801 data: 0.0030 max mem: 31671 Epoch: [37] [2410/5278] eta: 2:13:41 lr: 4.187532551474978e-06 loss: 0.0288 (0.0309) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0687 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9029 data: 0.0030 max mem: 31671 Epoch: [37] [2420/5278] eta: 2:13:14 lr: 4.184724744189107e-06 loss: 0.0282 (0.0309) loss_seg: 0.0295 (0.0329) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.8969 data: 0.0030 max mem: 31671 Epoch: [37] [2430/5278] eta: 2:12:45 lr: 4.181916727560639e-06 loss: 0.0288 (0.0309) loss_seg: 0.0305 (0.0329) loss_lansim: 0.0688 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8930 data: 0.0030 max mem: 31671 Epoch: [37] [2440/5278] eta: 2:12:20 lr: 4.1791085014177666e-06 loss: 0.0282 (0.0308) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0696 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9167 data: 0.0030 max mem: 31671 Epoch: [37] [2450/5278] eta: 2:11:58 lr: 4.1763000655883904e-06 loss: 0.0279 (0.0308) loss_seg: 0.0295 (0.0329) loss_lansim: 0.0696 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9298 data: 0.0031 max mem: 31671 Epoch: [37] [2460/5278] eta: 2:11:34 lr: 4.173491419900162e-06 loss: 0.0272 (0.0309) loss_seg: 0.0293 (0.0329) loss_lansim: 0.0692 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9452 data: 0.0031 max mem: 31671 Epoch: [37] [2470/5278] eta: 2:11:11 lr: 4.170682564180452e-06 loss: 0.0282 (0.0309) loss_seg: 0.0298 (0.0329) loss_lansim: 0.0696 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.9850 data: 0.0031 max mem: 31671 Epoch: [37] [2480/5278] eta: 2:10:46 lr: 4.167873498256372e-06 loss: 0.0272 (0.0309) loss_seg: 0.0296 (0.0329) loss_lansim: 0.0696 (0.0708) loss_contra: 0.0000 (0.0009) time: 3.0118 data: 0.0031 max mem: 31671 Epoch: [37] [2490/5278] eta: 2:10:18 lr: 4.165064221954738e-06 loss: 0.0276 (0.0309) loss_seg: 0.0298 (0.0329) loss_lansim: 0.0697 (0.0709) loss_contra: 0.0000 (0.0009) time: 3.0118 data: 0.0031 max mem: 31671 Epoch: [37] [2500/5278] eta: 2:09:49 lr: 4.1622547351021155e-06 loss: 0.0276 (0.0309) loss_seg: 0.0295 (0.0329) loss_lansim: 0.0702 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9990 data: 0.0031 max mem: 31671 Epoch: [37] [2510/5278] eta: 2:09:21 lr: 4.159445037524787e-06 loss: 0.0276 (0.0309) loss_seg: 0.0296 (0.0329) loss_lansim: 0.0696 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9771 data: 0.0031 max mem: 31671 Epoch: [37] [2520/5278] eta: 2:08:52 lr: 4.156635129048772e-06 loss: 0.0276 (0.0309) loss_seg: 0.0298 (0.0329) loss_lansim: 0.0702 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9614 data: 0.0031 max mem: 31671 Epoch: [37] [2530/5278] eta: 2:08:25 lr: 4.153825009499792e-06 loss: 0.0264 (0.0308) loss_seg: 0.0287 (0.0329) loss_lansim: 0.0702 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9724 data: 0.0031 max mem: 31671 Epoch: [37] [2540/5278] eta: 2:07:55 lr: 4.151014678703315e-06 loss: 0.0276 (0.0308) loss_seg: 0.0290 (0.0329) loss_lansim: 0.0696 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.9332 data: 0.0030 max mem: 31671 Epoch: [37] [2550/5278] eta: 2:07:26 lr: 4.1482041364845275e-06 loss: 0.0276 (0.0308) loss_seg: 0.0281 (0.0329) loss_lansim: 0.0704 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8741 data: 0.0030 max mem: 31671 Epoch: [37] [2560/5278] eta: 2:06:57 lr: 4.145393382668343e-06 loss: 0.0278 (0.0308) loss_seg: 0.0290 (0.0329) loss_lansim: 0.0704 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.8297 data: 0.0030 max mem: 31671 Epoch: [37] [2570/5278] eta: 2:06:27 lr: 4.142582417079382e-06 loss: 0.0276 (0.0308) loss_seg: 0.0277 (0.0328) loss_lansim: 0.0704 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7685 data: 0.0029 max mem: 31671 Epoch: [37] [2580/5278] eta: 2:05:58 lr: 4.1397712395420055e-06 loss: 0.0276 (0.0308) loss_seg: 0.0281 (0.0329) loss_lansim: 0.0693 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7289 data: 0.0029 max mem: 31671 Epoch: [37] [2590/5278] eta: 2:05:28 lr: 4.136959849880289e-06 loss: 0.0276 (0.0308) loss_seg: 0.0286 (0.0329) loss_lansim: 0.0687 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.7197 data: 0.0029 max mem: 31671 Epoch: [37] [2600/5278] eta: 2:04:59 lr: 4.13414824791803e-06 loss: 0.0278 (0.0308) loss_seg: 0.0287 (0.0329) loss_lansim: 0.0682 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7082 data: 0.0028 max mem: 31671 Epoch: [37] [2610/5278] eta: 2:04:29 lr: 4.131336433478751e-06 loss: 0.0278 (0.0308) loss_seg: 0.0279 (0.0329) loss_lansim: 0.0683 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.6886 data: 0.0028 max mem: 31671 Epoch: [37] [2620/5278] eta: 2:03:59 lr: 4.128524406385676e-06 loss: 0.0278 (0.0308) loss_seg: 0.0287 (0.0329) loss_lansim: 0.0680 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.6828 data: 0.0028 max mem: 31671 Epoch: [37] [2630/5278] eta: 2:03:31 lr: 4.12571216646177e-06 loss: 0.0279 (0.0309) loss_seg: 0.0294 (0.0329) loss_lansim: 0.0682 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.6699 data: 0.0028 max mem: 31671 Epoch: [37] [2640/5278] eta: 2:03:01 lr: 4.122899713529705e-06 loss: 0.0279 (0.0308) loss_seg: 0.0296 (0.0329) loss_lansim: 0.0682 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.6737 data: 0.0027 max mem: 31671 Epoch: [37] [2650/5278] eta: 2:02:32 lr: 4.1200870474118815e-06 loss: 0.0294 (0.0309) loss_seg: 0.0305 (0.0329) loss_lansim: 0.0682 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.6675 data: 0.0027 max mem: 31671 Epoch: [37] [2660/5278] eta: 2:02:01 lr: 4.117274167930396e-06 loss: 0.0289 (0.0309) loss_seg: 0.0304 (0.0329) loss_lansim: 0.0683 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.6426 data: 0.0026 max mem: 31671 Epoch: [37] [2670/5278] eta: 2:01:30 lr: 4.1144610749070785e-06 loss: 0.0289 (0.0308) loss_seg: 0.0303 (0.0329) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.6344 data: 0.0026 max mem: 31671 Epoch: [37] [2680/5278] eta: 2:01:00 lr: 4.1116477681634725e-06 loss: 0.0294 (0.0309) loss_seg: 0.0305 (0.0329) loss_lansim: 0.0699 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.6215 data: 0.0026 max mem: 31671 Epoch: [37] [2690/5278] eta: 2:00:29 lr: 4.10883424752084e-06 loss: 0.0289 (0.0309) loss_seg: 0.0305 (0.0329) loss_lansim: 0.0698 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5958 data: 0.0025 max mem: 31671 Epoch: [37] [2700/5278] eta: 1:59:58 lr: 4.1060205128001395e-06 loss: 0.0291 (0.0308) loss_seg: 0.0305 (0.0329) loss_lansim: 0.0699 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5849 data: 0.0025 max mem: 31671 Epoch: [37] [2710/5278] eta: 1:59:29 lr: 4.103206563822062e-06 loss: 0.0289 (0.0308) loss_seg: 0.0310 (0.0329) loss_lansim: 0.0699 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.5911 data: 0.0025 max mem: 31671 Epoch: [37] [2720/5278] eta: 1:58:59 lr: 4.1003924004070045e-06 loss: 0.0291 (0.0308) loss_seg: 0.0310 (0.0329) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.5827 data: 0.0025 max mem: 31671 Epoch: [37] [2730/5278] eta: 1:58:28 lr: 4.097578022375085e-06 loss: 0.0285 (0.0308) loss_seg: 0.0304 (0.0329) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [37] [2740/5278] eta: 1:57:59 lr: 4.0947634295461105e-06 loss: 0.0285 (0.0308) loss_seg: 0.0304 (0.0329) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.5528 data: 0.0025 max mem: 31671 Epoch: [37] [2750/5278] eta: 1:57:29 lr: 4.091948621739621e-06 loss: 0.0281 (0.0308) loss_seg: 0.0297 (0.0329) loss_lansim: 0.0698 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.5406 data: 0.0025 max mem: 31671 Epoch: [37] [2760/5278] eta: 1:56:59 lr: 4.08913359877486e-06 loss: 0.0281 (0.0308) loss_seg: 0.0300 (0.0329) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5472 data: 0.0025 max mem: 31671 Epoch: [37] [2770/5278] eta: 1:56:28 lr: 4.086318360470786e-06 loss: 0.0283 (0.0308) loss_seg: 0.0300 (0.0329) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5473 data: 0.0025 max mem: 31671 Epoch: [37] [2780/5278] eta: 1:55:59 lr: 4.083502906646048e-06 loss: 0.0275 (0.0308) loss_seg: 0.0292 (0.0328) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5519 data: 0.0025 max mem: 31671 Epoch: [37] [2790/5278] eta: 1:55:28 lr: 4.0806872371190225e-06 loss: 0.0280 (0.0308) loss_seg: 0.0290 (0.0328) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5552 data: 0.0026 max mem: 31671 Epoch: [37] [2800/5278] eta: 1:54:58 lr: 4.077871351707785e-06 loss: 0.0281 (0.0308) loss_seg: 0.0290 (0.0329) loss_lansim: 0.0700 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5557 data: 0.0026 max mem: 31671 Epoch: [37] [2810/5278] eta: 1:54:29 lr: 4.07505525023013e-06 loss: 0.0269 (0.0308) loss_seg: 0.0289 (0.0328) loss_lansim: 0.0703 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5521 data: 0.0026 max mem: 31671 Epoch: [37] [2820/5278] eta: 1:54:00 lr: 4.0722389325035305e-06 loss: 0.0269 (0.0308) loss_seg: 0.0289 (0.0328) loss_lansim: 0.0705 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5581 data: 0.0026 max mem: 31671 Epoch: [37] [2830/5278] eta: 1:53:30 lr: 4.069422398345192e-06 loss: 0.0287 (0.0308) loss_seg: 0.0307 (0.0329) loss_lansim: 0.0705 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5677 data: 0.0026 max mem: 31671 Epoch: [37] [2840/5278] eta: 1:53:00 lr: 4.066605647572015e-06 loss: 0.0288 (0.0308) loss_seg: 0.0308 (0.0329) loss_lansim: 0.0703 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5592 data: 0.0027 max mem: 31671 Epoch: [37] [2850/5278] eta: 1:52:30 lr: 4.063788680000601e-06 loss: 0.0287 (0.0308) loss_seg: 0.0307 (0.0329) loss_lansim: 0.0705 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5577 data: 0.0027 max mem: 31671 Epoch: [37] [2860/5278] eta: 1:52:01 lr: 4.060971495447269e-06 loss: 0.0288 (0.0308) loss_seg: 0.0307 (0.0329) loss_lansim: 0.0703 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5596 data: 0.0027 max mem: 31671 Epoch: [37] [2870/5278] eta: 1:51:31 lr: 4.0581540937280136e-06 loss: 0.0292 (0.0308) loss_seg: 0.0313 (0.0329) loss_lansim: 0.0695 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5657 data: 0.0027 max mem: 31671 Epoch: [37] [2880/5278] eta: 1:51:01 lr: 4.055336474658555e-06 loss: 0.0298 (0.0308) loss_seg: 0.0315 (0.0329) loss_lansim: 0.0699 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5594 data: 0.0027 max mem: 31671 Epoch: [37] [2890/5278] eta: 1:50:32 lr: 4.052518638054307e-06 loss: 0.0294 (0.0308) loss_seg: 0.0315 (0.0329) loss_lansim: 0.0693 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5676 data: 0.0027 max mem: 31671 Epoch: [37] [2900/5278] eta: 1:50:02 lr: 4.04970058373039e-06 loss: 0.0288 (0.0308) loss_seg: 0.0314 (0.0329) loss_lansim: 0.0690 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.5648 data: 0.0026 max mem: 31671 Epoch: [37] [2910/5278] eta: 1:49:33 lr: 4.046882311501605e-06 loss: 0.0294 (0.0308) loss_seg: 0.0315 (0.0329) loss_lansim: 0.0679 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5673 data: 0.0026 max mem: 31671 Epoch: [37] [2920/5278] eta: 1:49:04 lr: 4.044063821182473e-06 loss: 0.0291 (0.0308) loss_seg: 0.0315 (0.0329) loss_lansim: 0.0680 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.5679 data: 0.0026 max mem: 31671 Epoch: [37] [2930/5278] eta: 1:48:34 lr: 4.041245112587204e-06 loss: 0.0287 (0.0308) loss_seg: 0.0310 (0.0328) loss_lansim: 0.0685 (0.0709) loss_contra: 0.0000 (0.0008) time: 2.5607 data: 0.0026 max mem: 31671 Epoch: [37] [2940/5278] eta: 1:48:05 lr: 4.038426185529714e-06 loss: 0.0270 (0.0308) loss_seg: 0.0297 (0.0328) loss_lansim: 0.0686 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.5727 data: 0.0026 max mem: 31671 Epoch: [37] [2950/5278] eta: 1:47:36 lr: 4.035607039823595e-06 loss: 0.0284 (0.0308) loss_seg: 0.0309 (0.0328) loss_lansim: 0.0686 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.5728 data: 0.0025 max mem: 31671 Epoch: [37] [2960/5278] eta: 1:47:06 lr: 4.032787675282158e-06 loss: 0.0284 (0.0308) loss_seg: 0.0309 (0.0329) loss_lansim: 0.0685 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.5720 data: 0.0025 max mem: 31671 Epoch: [37] [2970/5278] eta: 1:46:37 lr: 4.029968091718399e-06 loss: 0.0282 (0.0308) loss_seg: 0.0301 (0.0328) loss_lansim: 0.0684 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.5735 data: 0.0025 max mem: 31671 Epoch: [37] [2980/5278] eta: 1:46:07 lr: 4.027148288945016e-06 loss: 0.0282 (0.0308) loss_seg: 0.0301 (0.0329) loss_lansim: 0.0684 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5694 data: 0.0025 max mem: 31671 Epoch: [37] [2990/5278] eta: 1:45:37 lr: 4.024328266774384e-06 loss: 0.0284 (0.0308) loss_seg: 0.0306 (0.0329) loss_lansim: 0.0678 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5590 data: 0.0025 max mem: 31671 Epoch: [37] [3000/5278] eta: 1:45:08 lr: 4.0215080250185874e-06 loss: 0.0284 (0.0308) loss_seg: 0.0301 (0.0329) loss_lansim: 0.0684 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5599 data: 0.0025 max mem: 31671 Epoch: [37] [3010/5278] eta: 1:44:39 lr: 4.018687563489399e-06 loss: 0.0287 (0.0308) loss_seg: 0.0311 (0.0329) loss_lansim: 0.0686 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5575 data: 0.0025 max mem: 31671 Epoch: [37] [3020/5278] eta: 1:44:10 lr: 4.015866881998288e-06 loss: 0.0275 (0.0308) loss_seg: 0.0297 (0.0329) loss_lansim: 0.0678 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5625 data: 0.0025 max mem: 31671 Epoch: [37] [3030/5278] eta: 1:43:41 lr: 4.0130459803563975e-06 loss: 0.0281 (0.0308) loss_seg: 0.0297 (0.0329) loss_lansim: 0.0678 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5556 data: 0.0025 max mem: 31671 Epoch: [37] [3040/5278] eta: 1:43:12 lr: 4.010224858374578e-06 loss: 0.0299 (0.0308) loss_seg: 0.0307 (0.0329) loss_lansim: 0.0677 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5500 data: 0.0025 max mem: 31671 Epoch: [37] [3050/5278] eta: 1:42:42 lr: 4.007403515863363e-06 loss: 0.0299 (0.0308) loss_seg: 0.0307 (0.0329) loss_lansim: 0.0676 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5526 data: 0.0025 max mem: 31671 Epoch: [37] [3060/5278] eta: 1:42:14 lr: 4.004581952632983e-06 loss: 0.0301 (0.0308) loss_seg: 0.0330 (0.0329) loss_lansim: 0.0676 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5610 data: 0.0025 max mem: 31671 Epoch: [37] [3070/5278] eta: 1:41:45 lr: 4.0017601684933364e-06 loss: 0.0291 (0.0308) loss_seg: 0.0320 (0.0329) loss_lansim: 0.0665 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5577 data: 0.0025 max mem: 31671 Epoch: [37] [3080/5278] eta: 1:41:16 lr: 3.998938163254027e-06 loss: 0.0275 (0.0308) loss_seg: 0.0298 (0.0329) loss_lansim: 0.0667 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.5682 data: 0.0026 max mem: 31671 Epoch: [37] [3090/5278] eta: 1:40:46 lr: 3.99611593672434e-06 loss: 0.0291 (0.0308) loss_seg: 0.0302 (0.0329) loss_lansim: 0.0676 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5661 data: 0.0026 max mem: 31671 Epoch: [37] [3100/5278] eta: 1:40:17 lr: 3.993293488713245e-06 loss: 0.0275 (0.0308) loss_seg: 0.0298 (0.0329) loss_lansim: 0.0676 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5742 data: 0.0025 max mem: 31671 Epoch: [37] [3110/5278] eta: 1:39:49 lr: 3.990470819029406e-06 loss: 0.0275 (0.0308) loss_seg: 0.0297 (0.0328) loss_lansim: 0.0676 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5766 data: 0.0025 max mem: 31671 Epoch: [37] [3120/5278] eta: 1:39:20 lr: 3.987647927481147e-06 loss: 0.0281 (0.0308) loss_seg: 0.0298 (0.0328) loss_lansim: 0.0676 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5731 data: 0.0026 max mem: 31671 Epoch: [37] [3130/5278] eta: 1:38:51 lr: 3.984824813876499e-06 loss: 0.0275 (0.0308) loss_seg: 0.0298 (0.0328) loss_lansim: 0.0679 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5759 data: 0.0026 max mem: 31671 Epoch: [37] [3140/5278] eta: 1:38:21 lr: 3.982001478023167e-06 loss: 0.0280 (0.0308) loss_seg: 0.0299 (0.0328) loss_lansim: 0.0679 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5646 data: 0.0026 max mem: 31671 Epoch: [37] [3150/5278] eta: 1:37:53 lr: 3.979177919728544e-06 loss: 0.0275 (0.0308) loss_seg: 0.0298 (0.0329) loss_lansim: 0.0688 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5765 data: 0.0026 max mem: 31671 Epoch: [37] [3160/5278] eta: 1:37:24 lr: 3.976354138799686e-06 loss: 0.0266 (0.0308) loss_seg: 0.0292 (0.0329) loss_lansim: 0.0688 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5705 data: 0.0026 max mem: 31671 Epoch: [37] [3170/5278] eta: 1:36:55 lr: 3.973530135043349e-06 loss: 0.0281 (0.0308) loss_seg: 0.0299 (0.0329) loss_lansim: 0.0692 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5687 data: 0.0026 max mem: 31671 Epoch: [37] [3180/5278] eta: 1:36:26 lr: 3.970705908265961e-06 loss: 0.0291 (0.0308) loss_seg: 0.0304 (0.0329) loss_lansim: 0.0688 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5577 data: 0.0026 max mem: 31671 Epoch: [37] [3190/5278] eta: 1:35:57 lr: 3.967881458273635e-06 loss: 0.0270 (0.0308) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0681 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5747 data: 0.0026 max mem: 31671 Epoch: [37] [3200/5278] eta: 1:35:29 lr: 3.965056784872143e-06 loss: 0.0281 (0.0308) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0681 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5736 data: 0.0026 max mem: 31671 Epoch: [37] [3210/5278] eta: 1:35:00 lr: 3.962231887866953e-06 loss: 0.0286 (0.0308) loss_seg: 0.0309 (0.0328) loss_lansim: 0.0688 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5689 data: 0.0026 max mem: 31671 Epoch: [37] [3220/5278] eta: 1:34:31 lr: 3.959406767063203e-06 loss: 0.0291 (0.0308) loss_seg: 0.0309 (0.0328) loss_lansim: 0.0690 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5582 data: 0.0026 max mem: 31671 Epoch: [37] [3230/5278] eta: 1:34:02 lr: 3.956581422265716e-06 loss: 0.0296 (0.0308) loss_seg: 0.0319 (0.0329) loss_lansim: 0.0693 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5612 data: 0.0026 max mem: 31671 Epoch: [37] [3240/5278] eta: 1:33:33 lr: 3.953755853278964e-06 loss: 0.0298 (0.0308) loss_seg: 0.0322 (0.0329) loss_lansim: 0.0694 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5702 data: 0.0026 max mem: 31671 Epoch: [37] [3250/5278] eta: 1:33:05 lr: 3.9509300599071185e-06 loss: 0.0296 (0.0308) loss_seg: 0.0320 (0.0329) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.5629 data: 0.0026 max mem: 31671 Epoch: [37] [3260/5278] eta: 1:32:35 lr: 3.948104041954015e-06 loss: 0.0296 (0.0308) loss_seg: 0.0321 (0.0329) loss_lansim: 0.0702 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5535 data: 0.0026 max mem: 31671 Epoch: [37] [3270/5278] eta: 1:32:07 lr: 3.945277799223168e-06 loss: 0.0293 (0.0308) loss_seg: 0.0309 (0.0329) loss_lansim: 0.0711 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5583 data: 0.0025 max mem: 31671 Epoch: [37] [3280/5278] eta: 1:31:38 lr: 3.9424513315177435e-06 loss: 0.0291 (0.0308) loss_seg: 0.0307 (0.0329) loss_lansim: 0.0714 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5598 data: 0.0025 max mem: 31671 Epoch: [37] [3290/5278] eta: 1:31:10 lr: 3.9396246386405985e-06 loss: 0.0293 (0.0308) loss_seg: 0.0309 (0.0328) loss_lansim: 0.0714 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5710 data: 0.0026 max mem: 31671 Epoch: [37] [3300/5278] eta: 1:30:43 lr: 3.936797720394254e-06 loss: 0.0294 (0.0308) loss_seg: 0.0316 (0.0329) loss_lansim: 0.0702 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.5852 data: 0.0026 max mem: 31671 Epoch: [37] [3310/5278] eta: 1:30:15 lr: 3.933970576580906e-06 loss: 0.0294 (0.0308) loss_seg: 0.0316 (0.0329) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.6032 data: 0.0026 max mem: 31671 Epoch: [37] [3320/5278] eta: 1:29:47 lr: 3.931143207002398e-06 loss: 0.0284 (0.0308) loss_seg: 0.0305 (0.0328) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.6175 data: 0.0026 max mem: 31671 Epoch: [37] [3330/5278] eta: 1:29:20 lr: 3.928315611460262e-06 loss: 0.0280 (0.0308) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0701 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.6397 data: 0.0026 max mem: 31671 Epoch: [37] [3340/5278] eta: 1:28:52 lr: 3.92548778975569e-06 loss: 0.0273 (0.0307) loss_seg: 0.0288 (0.0328) loss_lansim: 0.0701 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6638 data: 0.0026 max mem: 31671 Epoch: [37] [3350/5278] eta: 1:28:25 lr: 3.92265974168954e-06 loss: 0.0273 (0.0307) loss_seg: 0.0288 (0.0328) loss_lansim: 0.0685 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6865 data: 0.0027 max mem: 31671 Epoch: [37] [3360/5278] eta: 1:27:57 lr: 3.91983146706234e-06 loss: 0.0280 (0.0308) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0689 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.6992 data: 0.0027 max mem: 31671 Epoch: [37] [3370/5278] eta: 1:27:29 lr: 3.917002965674264e-06 loss: 0.0273 (0.0308) loss_seg: 0.0292 (0.0328) loss_lansim: 0.0689 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7056 data: 0.0027 max mem: 31671 Epoch: [37] [3380/5278] eta: 1:27:01 lr: 3.9141742373251685e-06 loss: 0.0280 (0.0307) loss_seg: 0.0292 (0.0328) loss_lansim: 0.0694 (0.0707) loss_contra: 0.0000 (0.0008) time: 2.7304 data: 0.0028 max mem: 31671 Epoch: [37] [3390/5278] eta: 1:26:34 lr: 3.911345281814566e-06 loss: 0.0283 (0.0307) loss_seg: 0.0297 (0.0328) loss_lansim: 0.0706 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7341 data: 0.0027 max mem: 31671 Epoch: [37] [3400/5278] eta: 1:26:07 lr: 3.908516098941637e-06 loss: 0.0283 (0.0308) loss_seg: 0.0298 (0.0328) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7373 data: 0.0027 max mem: 31671 Epoch: [37] [3410/5278] eta: 1:25:39 lr: 3.905686688505203e-06 loss: 0.0284 (0.0308) loss_seg: 0.0298 (0.0328) loss_lansim: 0.0711 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7310 data: 0.0027 max mem: 31671 Epoch: [37] [3420/5278] eta: 1:25:11 lr: 3.902857050303766e-06 loss: 0.0292 (0.0308) loss_seg: 0.0312 (0.0329) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7390 data: 0.0028 max mem: 31671 Epoch: [37] [3430/5278] eta: 1:24:43 lr: 3.900027184135479e-06 loss: 0.0298 (0.0308) loss_seg: 0.0322 (0.0329) loss_lansim: 0.0710 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7327 data: 0.0028 max mem: 31671 Epoch: [37] [3440/5278] eta: 1:24:16 lr: 3.897197089798161e-06 loss: 0.0305 (0.0308) loss_seg: 0.0326 (0.0329) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7219 data: 0.0028 max mem: 31671 Epoch: [37] [3450/5278] eta: 1:23:48 lr: 3.8943667670892686e-06 loss: 0.0296 (0.0308) loss_seg: 0.0323 (0.0328) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7094 data: 0.0027 max mem: 31671 Epoch: [37] [3460/5278] eta: 1:23:20 lr: 3.891536215805934e-06 loss: 0.0293 (0.0308) loss_seg: 0.0320 (0.0329) loss_lansim: 0.0711 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7222 data: 0.0027 max mem: 31671 Epoch: [37] [3470/5278] eta: 1:22:54 lr: 3.8887054357449384e-06 loss: 0.0294 (0.0308) loss_seg: 0.0320 (0.0328) loss_lansim: 0.0712 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7618 data: 0.0027 max mem: 31671 Epoch: [37] [3480/5278] eta: 1:22:28 lr: 3.885874426702725e-06 loss: 0.0293 (0.0307) loss_seg: 0.0320 (0.0328) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7848 data: 0.0027 max mem: 31671 Epoch: [37] [3490/5278] eta: 1:22:00 lr: 3.883043188475372e-06 loss: 0.0292 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7797 data: 0.0027 max mem: 31671 Epoch: [37] [3500/5278] eta: 1:21:34 lr: 3.880211720858629e-06 loss: 0.0278 (0.0307) loss_seg: 0.0299 (0.0328) loss_lansim: 0.0713 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7985 data: 0.0027 max mem: 31671 Epoch: [37] [3510/5278] eta: 1:21:06 lr: 3.87738002364789e-06 loss: 0.0277 (0.0307) loss_seg: 0.0288 (0.0328) loss_lansim: 0.0719 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7984 data: 0.0027 max mem: 31671 Epoch: [37] [3520/5278] eta: 1:20:38 lr: 3.87454809663821e-06 loss: 0.0270 (0.0307) loss_seg: 0.0283 (0.0328) loss_lansim: 0.0712 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7962 data: 0.0027 max mem: 31671 Epoch: [37] [3530/5278] eta: 1:20:12 lr: 3.871715939624273e-06 loss: 0.0257 (0.0307) loss_seg: 0.0277 (0.0328) loss_lansim: 0.0714 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.8222 data: 0.0027 max mem: 31671 Epoch: [37] [3540/5278] eta: 1:19:44 lr: 3.868883552400432e-06 loss: 0.0258 (0.0307) loss_seg: 0.0278 (0.0328) loss_lansim: 0.0709 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.8184 data: 0.0027 max mem: 31671 Epoch: [37] [3550/5278] eta: 1:19:16 lr: 3.866050934760683e-06 loss: 0.0259 (0.0307) loss_seg: 0.0282 (0.0328) loss_lansim: 0.0703 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.8250 data: 0.0027 max mem: 31671 Epoch: [37] [3560/5278] eta: 1:18:49 lr: 3.8632180864986766e-06 loss: 0.0259 (0.0307) loss_seg: 0.0282 (0.0328) loss_lansim: 0.0698 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.8341 data: 0.0028 max mem: 31671 Epoch: [37] [3570/5278] eta: 1:18:21 lr: 3.860385007407689e-06 loss: 0.0258 (0.0307) loss_seg: 0.0279 (0.0327) loss_lansim: 0.0692 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7941 data: 0.0027 max mem: 31671 Epoch: [37] [3580/5278] eta: 1:17:53 lr: 3.857551697280662e-06 loss: 0.0257 (0.0307) loss_seg: 0.0278 (0.0327) loss_lansim: 0.0688 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7637 data: 0.0027 max mem: 31671 Epoch: [37] [3590/5278] eta: 1:17:25 lr: 3.854718155910179e-06 loss: 0.0258 (0.0307) loss_seg: 0.0279 (0.0327) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7593 data: 0.0027 max mem: 31671 Epoch: [37] [3600/5278] eta: 1:16:58 lr: 3.851884383088464e-06 loss: 0.0258 (0.0307) loss_seg: 0.0278 (0.0327) loss_lansim: 0.0686 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7431 data: 0.0027 max mem: 31671 Epoch: [37] [3610/5278] eta: 1:16:31 lr: 3.849050378607394e-06 loss: 0.0258 (0.0306) loss_seg: 0.0279 (0.0327) loss_lansim: 0.0683 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7484 data: 0.0027 max mem: 31671 Epoch: [37] [3620/5278] eta: 1:16:03 lr: 3.846216142258466e-06 loss: 0.0261 (0.0307) loss_seg: 0.0282 (0.0327) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7452 data: 0.0027 max mem: 31671 Epoch: [37] [3630/5278] eta: 1:15:36 lr: 3.843381673832839e-06 loss: 0.0270 (0.0306) loss_seg: 0.0287 (0.0327) loss_lansim: 0.0680 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7367 data: 0.0027 max mem: 31671 Epoch: [37] [3640/5278] eta: 1:15:08 lr: 3.840546973121308e-06 loss: 0.0257 (0.0306) loss_seg: 0.0275 (0.0327) loss_lansim: 0.0680 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7462 data: 0.0028 max mem: 31671 Epoch: [37] [3650/5278] eta: 1:14:41 lr: 3.83771203991431e-06 loss: 0.0268 (0.0306) loss_seg: 0.0286 (0.0327) loss_lansim: 0.0686 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7527 data: 0.0027 max mem: 31671 Epoch: [37] [3660/5278] eta: 1:14:13 lr: 3.834876874001906e-06 loss: 0.0268 (0.0306) loss_seg: 0.0287 (0.0327) loss_lansim: 0.0686 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7362 data: 0.0027 max mem: 31671 Epoch: [37] [3670/5278] eta: 1:13:45 lr: 3.832041475173811e-06 loss: 0.0274 (0.0306) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0690 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7295 data: 0.0027 max mem: 31671 Epoch: [37] [3680/5278] eta: 1:13:17 lr: 3.829205843219372e-06 loss: 0.0279 (0.0306) loss_seg: 0.0302 (0.0327) loss_lansim: 0.0691 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7226 data: 0.0027 max mem: 31671 Epoch: [37] [3690/5278] eta: 1:12:50 lr: 3.8263699779275775e-06 loss: 0.0279 (0.0306) loss_seg: 0.0302 (0.0327) loss_lansim: 0.0690 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7441 data: 0.0027 max mem: 31671 Epoch: [37] [3700/5278] eta: 1:12:23 lr: 3.823533879087032e-06 loss: 0.0277 (0.0306) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0682 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7648 data: 0.0028 max mem: 31671 Epoch: [37] [3710/5278] eta: 1:11:57 lr: 3.820697546485994e-06 loss: 0.0277 (0.0306) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0690 (0.0708) loss_contra: 0.0000 (0.0008) time: 2.7840 data: 0.0028 max mem: 31671 Epoch: [37] [3720/5278] eta: 1:11:29 lr: 3.817860979912349e-06 loss: 0.0277 (0.0307) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0686 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7871 data: 0.0028 max mem: 31671 Epoch: [37] [3730/5278] eta: 1:11:01 lr: 3.815024179153619e-06 loss: 0.0277 (0.0307) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7695 data: 0.0028 max mem: 31671 Epoch: [37] [3740/5278] eta: 1:10:34 lr: 3.8121871439969406e-06 loss: 0.0282 (0.0307) loss_seg: 0.0303 (0.0327) loss_lansim: 0.0690 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7839 data: 0.0028 max mem: 31671 Epoch: [37] [3750/5278] eta: 1:10:07 lr: 3.809349874229099e-06 loss: 0.0277 (0.0306) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0692 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7772 data: 0.0028 max mem: 31671 Epoch: [37] [3760/5278] eta: 1:09:39 lr: 3.8065123696365014e-06 loss: 0.0279 (0.0307) loss_seg: 0.0301 (0.0327) loss_lansim: 0.0687 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7717 data: 0.0028 max mem: 31671 Epoch: [37] [3770/5278] eta: 1:09:11 lr: 3.8036746300051925e-06 loss: 0.0273 (0.0306) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0682 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7816 data: 0.0028 max mem: 31671 Epoch: [37] [3780/5278] eta: 1:08:43 lr: 3.8008366551208214e-06 loss: 0.0261 (0.0306) loss_seg: 0.0285 (0.0327) loss_lansim: 0.0667 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7888 data: 0.0028 max mem: 31671 Epoch: [37] [3790/5278] eta: 1:08:16 lr: 3.797998444768687e-06 loss: 0.0261 (0.0307) loss_seg: 0.0287 (0.0327) loss_lansim: 0.0670 (0.0708) loss_contra: 0.0000 (0.0009) time: 2.7780 data: 0.0028 max mem: 31671 Epoch: [37] [3800/5278] eta: 1:07:48 lr: 3.795159998733705e-06 loss: 0.0268 (0.0307) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0670 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7432 data: 0.0027 max mem: 31671 Epoch: [37] [3810/5278] eta: 1:07:20 lr: 3.7923213168004228e-06 loss: 0.0273 (0.0307) loss_seg: 0.0292 (0.0327) loss_lansim: 0.0670 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7079 data: 0.0026 max mem: 31671 Epoch: [37] [3820/5278] eta: 1:06:52 lr: 3.7894823987529913e-06 loss: 0.0273 (0.0307) loss_seg: 0.0292 (0.0327) loss_lansim: 0.0670 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7057 data: 0.0026 max mem: 31671 Epoch: [37] [3830/5278] eta: 1:06:24 lr: 3.7866432443752056e-06 loss: 0.0276 (0.0306) loss_seg: 0.0297 (0.0327) loss_lansim: 0.0671 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7125 data: 0.0026 max mem: 31671 Epoch: [37] [3840/5278] eta: 1:05:57 lr: 3.7838038534504733e-06 loss: 0.0277 (0.0307) loss_seg: 0.0300 (0.0327) loss_lansim: 0.0683 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6953 data: 0.0026 max mem: 31671 Epoch: [37] [3850/5278] eta: 1:05:29 lr: 3.780964225761824e-06 loss: 0.0279 (0.0307) loss_seg: 0.0301 (0.0327) loss_lansim: 0.0683 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6807 data: 0.0026 max mem: 31671 Epoch: [37] [3860/5278] eta: 1:05:01 lr: 3.778124361091915e-06 loss: 0.0278 (0.0307) loss_seg: 0.0297 (0.0327) loss_lansim: 0.0676 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6971 data: 0.0027 max mem: 31671 Epoch: [37] [3870/5278] eta: 1:04:34 lr: 3.775284259223e-06 loss: 0.0285 (0.0307) loss_seg: 0.0303 (0.0327) loss_lansim: 0.0673 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7120 data: 0.0028 max mem: 31671 Epoch: [37] [3880/5278] eta: 1:04:06 lr: 3.7724439199369724e-06 loss: 0.0285 (0.0307) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0671 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7141 data: 0.0027 max mem: 31671 Epoch: [37] [3890/5278] eta: 1:03:39 lr: 3.7696033430153337e-06 loss: 0.0279 (0.0307) loss_seg: 0.0297 (0.0327) loss_lansim: 0.0671 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7103 data: 0.0027 max mem: 31671 Epoch: [37] [3900/5278] eta: 1:03:11 lr: 3.7667625282392103e-06 loss: 0.0276 (0.0307) loss_seg: 0.0297 (0.0327) loss_lansim: 0.0671 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7088 data: 0.0027 max mem: 31671 Epoch: [37] [3910/5278] eta: 1:02:43 lr: 3.763921475389322e-06 loss: 0.0278 (0.0306) loss_seg: 0.0298 (0.0327) loss_lansim: 0.0670 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7097 data: 0.0027 max mem: 31671 Epoch: [37] [3920/5278] eta: 1:02:15 lr: 3.7610801842460216e-06 loss: 0.0281 (0.0307) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0672 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7062 data: 0.0027 max mem: 31671 Epoch: [37] [3930/5278] eta: 1:01:47 lr: 3.7582386545892695e-06 loss: 0.0278 (0.0306) loss_seg: 0.0298 (0.0327) loss_lansim: 0.0674 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7021 data: 0.0027 max mem: 31671 Epoch: [37] [3940/5278] eta: 1:01:20 lr: 3.755396886198645e-06 loss: 0.0278 (0.0306) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0669 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6985 data: 0.0027 max mem: 31671 Epoch: [37] [3950/5278] eta: 1:00:52 lr: 3.7525548788533157e-06 loss: 0.0274 (0.0307) loss_seg: 0.0298 (0.0327) loss_lansim: 0.0669 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6956 data: 0.0027 max mem: 31671 Epoch: [37] [3960/5278] eta: 1:00:24 lr: 3.7497126323320813e-06 loss: 0.0276 (0.0307) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0669 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6816 data: 0.0026 max mem: 31671 Epoch: [37] [3970/5278] eta: 0:59:56 lr: 3.746870146413342e-06 loss: 0.0273 (0.0306) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0681 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6641 data: 0.0026 max mem: 31671 Epoch: [37] [3980/5278] eta: 0:59:28 lr: 3.744027420875114e-06 loss: 0.0273 (0.0306) loss_seg: 0.0298 (0.0327) loss_lansim: 0.0690 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6618 data: 0.0026 max mem: 31671 Epoch: [37] [3990/5278] eta: 0:59:01 lr: 3.7411844554949983e-06 loss: 0.0273 (0.0306) loss_seg: 0.0295 (0.0327) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6608 data: 0.0026 max mem: 31671 Epoch: [37] [4000/5278] eta: 0:58:33 lr: 3.738341250050223e-06 loss: 0.0271 (0.0306) loss_seg: 0.0293 (0.0327) loss_lansim: 0.0699 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6662 data: 0.0026 max mem: 31671 Epoch: [37] [4010/5278] eta: 0:58:05 lr: 3.7354978043176134e-06 loss: 0.0267 (0.0306) loss_seg: 0.0292 (0.0327) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6766 data: 0.0026 max mem: 31671 Epoch: [37] [4020/5278] eta: 0:57:39 lr: 3.732654118073605e-06 loss: 0.0267 (0.0306) loss_seg: 0.0287 (0.0327) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7058 data: 0.0026 max mem: 31671 Epoch: [37] [4030/5278] eta: 0:57:11 lr: 3.7298101910942172e-06 loss: 0.0271 (0.0306) loss_seg: 0.0292 (0.0327) loss_lansim: 0.0694 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6997 data: 0.0026 max mem: 31671 Epoch: [37] [4040/5278] eta: 0:56:43 lr: 3.726966023155089e-06 loss: 0.0271 (0.0306) loss_seg: 0.0292 (0.0327) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6969 data: 0.0027 max mem: 31671 Epoch: [37] [4050/5278] eta: 0:56:15 lr: 3.724121614031453e-06 loss: 0.0271 (0.0306) loss_seg: 0.0279 (0.0327) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7020 data: 0.0027 max mem: 31671 Epoch: [37] [4060/5278] eta: 0:55:48 lr: 3.7212769634981513e-06 loss: 0.0268 (0.0306) loss_seg: 0.0279 (0.0327) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7073 data: 0.0027 max mem: 31671 Epoch: [37] [4070/5278] eta: 0:55:20 lr: 3.7184320713296002e-06 loss: 0.0273 (0.0306) loss_seg: 0.0295 (0.0327) loss_lansim: 0.0694 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7100 data: 0.0027 max mem: 31671 Epoch: [37] [4080/5278] eta: 0:54:52 lr: 3.715586937299835e-06 loss: 0.0276 (0.0306) loss_seg: 0.0287 (0.0327) loss_lansim: 0.0695 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7112 data: 0.0027 max mem: 31671 Epoch: [37] [4090/5278] eta: 0:54:25 lr: 3.7127415611824805e-06 loss: 0.0282 (0.0306) loss_seg: 0.0299 (0.0327) loss_lansim: 0.0689 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7134 data: 0.0027 max mem: 31671 Epoch: [37] [4100/5278] eta: 0:53:57 lr: 3.709895942750758e-06 loss: 0.0285 (0.0307) loss_seg: 0.0300 (0.0327) loss_lansim: 0.0689 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.7059 data: 0.0027 max mem: 31671 Epoch: [37] [4110/5278] eta: 0:53:29 lr: 3.707050081777487e-06 loss: 0.0293 (0.0307) loss_seg: 0.0310 (0.0327) loss_lansim: 0.0687 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6958 data: 0.0027 max mem: 31671 Epoch: [37] [4120/5278] eta: 0:53:01 lr: 3.704203978035062e-06 loss: 0.0296 (0.0307) loss_seg: 0.0317 (0.0328) loss_lansim: 0.0687 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6626 data: 0.0027 max mem: 31671 Epoch: [37] [4130/5278] eta: 0:52:33 lr: 3.701357631295488e-06 loss: 0.0296 (0.0307) loss_seg: 0.0318 (0.0328) loss_lansim: 0.0693 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6614 data: 0.0027 max mem: 31671 Epoch: [37] [4140/5278] eta: 0:52:06 lr: 3.6985110413303547e-06 loss: 0.0293 (0.0307) loss_seg: 0.0315 (0.0328) loss_lansim: 0.0693 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6560 data: 0.0026 max mem: 31671 Epoch: [37] [4150/5278] eta: 0:51:38 lr: 3.6956642079108496e-06 loss: 0.0290 (0.0307) loss_seg: 0.0313 (0.0328) loss_lansim: 0.0689 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6588 data: 0.0026 max mem: 31671 Epoch: [37] [4160/5278] eta: 0:51:10 lr: 3.692817130807727e-06 loss: 0.0296 (0.0307) loss_seg: 0.0313 (0.0328) loss_lansim: 0.0689 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6425 data: 0.0026 max mem: 31671 Epoch: [37] [4170/5278] eta: 0:50:42 lr: 3.6899698097913493e-06 loss: 0.0290 (0.0307) loss_seg: 0.0307 (0.0328) loss_lansim: 0.0688 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.6392 data: 0.0026 max mem: 31671 Epoch: [37] [4180/5278] eta: 0:50:14 lr: 3.68712224463166e-06 loss: 0.0299 (0.0307) loss_seg: 0.0313 (0.0328) loss_lansim: 0.0687 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.6214 data: 0.0026 max mem: 31671 Epoch: [37] [4190/5278] eta: 0:49:46 lr: 3.6842744350981916e-06 loss: 0.0290 (0.0307) loss_seg: 0.0301 (0.0328) loss_lansim: 0.0688 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.6016 data: 0.0026 max mem: 31671 Epoch: [37] [4200/5278] eta: 0:49:18 lr: 3.681426380960045e-06 loss: 0.0290 (0.0307) loss_seg: 0.0307 (0.0328) loss_lansim: 0.0686 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5962 data: 0.0026 max mem: 31671 Epoch: [37] [4210/5278] eta: 0:48:50 lr: 3.6785780819859208e-06 loss: 0.0285 (0.0307) loss_seg: 0.0301 (0.0328) loss_lansim: 0.0686 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [37] [4220/5278] eta: 0:48:23 lr: 3.6757295379440967e-06 loss: 0.0273 (0.0307) loss_seg: 0.0296 (0.0328) loss_lansim: 0.0686 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5911 data: 0.0026 max mem: 31671 Epoch: [37] [4230/5278] eta: 0:47:54 lr: 3.672880748602438e-06 loss: 0.0280 (0.0307) loss_seg: 0.0297 (0.0328) loss_lansim: 0.0684 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5755 data: 0.0026 max mem: 31671 Epoch: [37] [4240/5278] eta: 0:47:27 lr: 3.670031713728369e-06 loss: 0.0273 (0.0307) loss_seg: 0.0296 (0.0328) loss_lansim: 0.0681 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5709 data: 0.0026 max mem: 31671 Epoch: [37] [4250/5278] eta: 0:46:59 lr: 3.6671824330889134e-06 loss: 0.0280 (0.0307) loss_seg: 0.0297 (0.0328) loss_lansim: 0.0681 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5633 data: 0.0026 max mem: 31671 Epoch: [37] [4260/5278] eta: 0:46:31 lr: 3.664332906450666e-06 loss: 0.0274 (0.0307) loss_seg: 0.0297 (0.0328) loss_lansim: 0.0688 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5588 data: 0.0026 max mem: 31671 Epoch: [37] [4270/5278] eta: 0:46:03 lr: 3.661483133579804e-06 loss: 0.0272 (0.0307) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5477 data: 0.0026 max mem: 31671 Epoch: [37] [4280/5278] eta: 0:45:35 lr: 3.6586331142420605e-06 loss: 0.0271 (0.0307) loss_seg: 0.0285 (0.0328) loss_lansim: 0.0702 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5424 data: 0.0026 max mem: 31671 Epoch: [37] [4290/5278] eta: 0:45:07 lr: 3.655782848202762e-06 loss: 0.0269 (0.0307) loss_seg: 0.0293 (0.0328) loss_lansim: 0.0688 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5386 data: 0.0026 max mem: 31671 Epoch: [37] [4300/5278] eta: 0:44:39 lr: 3.6529323352268023e-06 loss: 0.0261 (0.0307) loss_seg: 0.0281 (0.0328) loss_lansim: 0.0695 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5263 data: 0.0026 max mem: 31671 Epoch: [37] [4310/5278] eta: 0:44:11 lr: 3.650081575078654e-06 loss: 0.0257 (0.0307) loss_seg: 0.0269 (0.0328) loss_lansim: 0.0684 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5229 data: 0.0026 max mem: 31671 Epoch: [37] [4320/5278] eta: 0:43:43 lr: 3.647230567522338e-06 loss: 0.0250 (0.0307) loss_seg: 0.0261 (0.0328) loss_lansim: 0.0669 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5188 data: 0.0026 max mem: 31671 Epoch: [37] [4330/5278] eta: 0:43:16 lr: 3.6443793123214686e-06 loss: 0.0250 (0.0307) loss_seg: 0.0264 (0.0328) loss_lansim: 0.0669 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5382 data: 0.0026 max mem: 31671 Epoch: [37] [4340/5278] eta: 0:42:48 lr: 3.641527809239219e-06 loss: 0.0266 (0.0307) loss_seg: 0.0283 (0.0328) loss_lansim: 0.0662 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5412 data: 0.0026 max mem: 31671 Epoch: [37] [4350/5278] eta: 0:42:20 lr: 3.63867605803833e-06 loss: 0.0257 (0.0307) loss_seg: 0.0274 (0.0328) loss_lansim: 0.0669 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5388 data: 0.0026 max mem: 31671 Epoch: [37] [4360/5278] eta: 0:41:52 lr: 3.6358240584811166e-06 loss: 0.0266 (0.0307) loss_seg: 0.0283 (0.0327) loss_lansim: 0.0669 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5462 data: 0.0026 max mem: 31671 Epoch: [37] [4370/5278] eta: 0:41:25 lr: 3.632971810329437e-06 loss: 0.0269 (0.0307) loss_seg: 0.0283 (0.0327) loss_lansim: 0.0669 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5431 data: 0.0026 max mem: 31671 Epoch: [37] [4380/5278] eta: 0:40:57 lr: 3.630119313344734e-06 loss: 0.0266 (0.0307) loss_seg: 0.0283 (0.0327) loss_lansim: 0.0669 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5654 data: 0.0026 max mem: 31671 Epoch: [37] [4390/5278] eta: 0:40:29 lr: 3.627266567288006e-06 loss: 0.0269 (0.0307) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0674 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5728 data: 0.0026 max mem: 31671 Epoch: [37] [4400/5278] eta: 0:40:02 lr: 3.624413571919821e-06 loss: 0.0276 (0.0307) loss_seg: 0.0302 (0.0328) loss_lansim: 0.0669 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5873 data: 0.0026 max mem: 31671 Epoch: [37] [4410/5278] eta: 0:39:34 lr: 3.6215603270002833e-06 loss: 0.0277 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0674 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5851 data: 0.0026 max mem: 31671 Epoch: [37] [4420/5278] eta: 0:39:06 lr: 3.61870683228908e-06 loss: 0.0282 (0.0307) loss_seg: 0.0308 (0.0328) loss_lansim: 0.0677 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5737 data: 0.0026 max mem: 31671 Epoch: [37] [4430/5278] eta: 0:38:39 lr: 3.6158530875454483e-06 loss: 0.0284 (0.0307) loss_seg: 0.0308 (0.0328) loss_lansim: 0.0677 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5744 data: 0.0026 max mem: 31671 Epoch: [37] [4440/5278] eta: 0:38:11 lr: 3.612999092528188e-06 loss: 0.0284 (0.0307) loss_seg: 0.0311 (0.0328) loss_lansim: 0.0684 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5723 data: 0.0026 max mem: 31671 Epoch: [37] [4450/5278] eta: 0:37:43 lr: 3.6101448469956354e-06 loss: 0.0288 (0.0307) loss_seg: 0.0316 (0.0328) loss_lansim: 0.0699 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5665 data: 0.0025 max mem: 31671 Epoch: [37] [4460/5278] eta: 0:37:15 lr: 3.6072903507056984e-06 loss: 0.0288 (0.0307) loss_seg: 0.0308 (0.0328) loss_lansim: 0.0696 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5558 data: 0.0025 max mem: 31671 Epoch: [37] [4470/5278] eta: 0:36:48 lr: 3.6044356034158346e-06 loss: 0.0288 (0.0307) loss_seg: 0.0308 (0.0328) loss_lansim: 0.0696 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5571 data: 0.0025 max mem: 31671 Epoch: [37] [4480/5278] eta: 0:36:20 lr: 3.6015806048830576e-06 loss: 0.0284 (0.0307) loss_seg: 0.0307 (0.0328) loss_lansim: 0.0696 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [37] [4490/5278] eta: 0:35:52 lr: 3.5987253548639124e-06 loss: 0.0284 (0.0307) loss_seg: 0.0307 (0.0328) loss_lansim: 0.0699 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5431 data: 0.0025 max mem: 31671 Epoch: [37] [4500/5278] eta: 0:35:25 lr: 3.5958698531145133e-06 loss: 0.0280 (0.0307) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0696 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5348 data: 0.0025 max mem: 31671 Epoch: [37] [4510/5278] eta: 0:34:57 lr: 3.5930140993905162e-06 loss: 0.0279 (0.0307) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0712 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5282 data: 0.0026 max mem: 31671 Epoch: [37] [4520/5278] eta: 0:34:29 lr: 3.590158093447129e-06 loss: 0.0280 (0.0308) loss_seg: 0.0303 (0.0328) loss_lansim: 0.0718 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [37] [4530/5278] eta: 0:34:02 lr: 3.587301835039087e-06 loss: 0.0279 (0.0308) loss_seg: 0.0296 (0.0328) loss_lansim: 0.0715 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5159 data: 0.0025 max mem: 31671 Epoch: [37] [4540/5278] eta: 0:33:34 lr: 3.5844453239206898e-06 loss: 0.0274 (0.0307) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0711 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5147 data: 0.0025 max mem: 31671 Epoch: [37] [4550/5278] eta: 0:33:06 lr: 3.5815885598457715e-06 loss: 0.0266 (0.0307) loss_seg: 0.0289 (0.0328) loss_lansim: 0.0714 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5163 data: 0.0026 max mem: 31671 Epoch: [37] [4560/5278] eta: 0:32:39 lr: 3.578731542567716e-06 loss: 0.0266 (0.0307) loss_seg: 0.0289 (0.0328) loss_lansim: 0.0708 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5302 data: 0.0025 max mem: 31671 Epoch: [37] [4570/5278] eta: 0:32:11 lr: 3.5758742718394286e-06 loss: 0.0267 (0.0307) loss_seg: 0.0291 (0.0328) loss_lansim: 0.0707 (0.0706) loss_contra: 0.0000 (0.0009) time: 2.5329 data: 0.0025 max mem: 31671 Epoch: [37] [4580/5278] eta: 0:31:44 lr: 3.5730167474133726e-06 loss: 0.0269 (0.0307) loss_seg: 0.0291 (0.0328) loss_lansim: 0.0704 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5486 data: 0.0025 max mem: 31671 Epoch: [37] [4590/5278] eta: 0:31:16 lr: 3.5701589690415426e-06 loss: 0.0269 (0.0307) loss_seg: 0.0295 (0.0328) loss_lansim: 0.0704 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5322 data: 0.0025 max mem: 31671 Epoch: [37] [4600/5278] eta: 0:30:49 lr: 3.567300936475471e-06 loss: 0.0269 (0.0307) loss_seg: 0.0293 (0.0328) loss_lansim: 0.0708 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5339 data: 0.0025 max mem: 31671 Epoch: [37] [4610/5278] eta: 0:30:21 lr: 3.5644426494662312e-06 loss: 0.0271 (0.0307) loss_seg: 0.0291 (0.0328) loss_lansim: 0.0707 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5393 data: 0.0025 max mem: 31671 Epoch: [37] [4620/5278] eta: 0:29:53 lr: 3.561584107764411e-06 loss: 0.0271 (0.0308) loss_seg: 0.0291 (0.0328) loss_lansim: 0.0703 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5392 data: 0.0025 max mem: 31671 Epoch: [37] [4630/5278] eta: 0:29:26 lr: 3.558725311120152e-06 loss: 0.0273 (0.0307) loss_seg: 0.0293 (0.0328) loss_lansim: 0.0701 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5516 data: 0.0025 max mem: 31671 Epoch: [37] [4640/5278] eta: 0:28:59 lr: 3.55586625928312e-06 loss: 0.0282 (0.0308) loss_seg: 0.0297 (0.0328) loss_lansim: 0.0701 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5482 data: 0.0025 max mem: 31671 Epoch: [37] [4650/5278] eta: 0:28:31 lr: 3.5530069520025173e-06 loss: 0.0288 (0.0307) loss_seg: 0.0300 (0.0328) loss_lansim: 0.0701 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5512 data: 0.0025 max mem: 31671 Epoch: [37] [4660/5278] eta: 0:28:04 lr: 3.5501473890270567e-06 loss: 0.0288 (0.0307) loss_seg: 0.0300 (0.0328) loss_lansim: 0.0710 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5479 data: 0.0026 max mem: 31671 Epoch: [37] [4670/5278] eta: 0:27:36 lr: 3.5472875701049973e-06 loss: 0.0300 (0.0308) loss_seg: 0.0314 (0.0328) loss_lansim: 0.0710 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [37] [4680/5278] eta: 0:27:09 lr: 3.5444274949841183e-06 loss: 0.0300 (0.0308) loss_seg: 0.0314 (0.0328) loss_lansim: 0.0716 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5333 data: 0.0026 max mem: 31671 Epoch: [37] [4690/5278] eta: 0:26:41 lr: 3.541567163411731e-06 loss: 0.0300 (0.0308) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0710 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5435 data: 0.0025 max mem: 31671 Epoch: [37] [4700/5278] eta: 0:26:14 lr: 3.53870657513465e-06 loss: 0.0303 (0.0308) loss_seg: 0.0329 (0.0328) loss_lansim: 0.0698 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5479 data: 0.0025 max mem: 31671 Epoch: [37] [4710/5278] eta: 0:25:46 lr: 3.535845729899233e-06 loss: 0.0302 (0.0308) loss_seg: 0.0329 (0.0328) loss_lansim: 0.0700 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5523 data: 0.0025 max mem: 31671 Epoch: [37] [4720/5278] eta: 0:25:19 lr: 3.532984627451351e-06 loss: 0.0300 (0.0308) loss_seg: 0.0325 (0.0328) loss_lansim: 0.0693 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5608 data: 0.0025 max mem: 31671 Epoch: [37] [4730/5278] eta: 0:24:52 lr: 3.5301232675364024e-06 loss: 0.0300 (0.0308) loss_seg: 0.0325 (0.0328) loss_lansim: 0.0694 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5620 data: 0.0026 max mem: 31671 Epoch: [37] [4740/5278] eta: 0:24:24 lr: 3.527261649899284e-06 loss: 0.0300 (0.0308) loss_seg: 0.0325 (0.0328) loss_lansim: 0.0693 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5667 data: 0.0026 max mem: 31671 Epoch: [37] [4750/5278] eta: 0:23:57 lr: 3.5243997742844293e-06 loss: 0.0300 (0.0308) loss_seg: 0.0325 (0.0328) loss_lansim: 0.0694 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5759 data: 0.0025 max mem: 31671 Epoch: [37] [4760/5278] eta: 0:23:29 lr: 3.5215376404357805e-06 loss: 0.0302 (0.0308) loss_seg: 0.0325 (0.0328) loss_lansim: 0.0700 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5630 data: 0.0025 max mem: 31671 Epoch: [37] [4770/5278] eta: 0:23:02 lr: 3.5186752480968013e-06 loss: 0.0300 (0.0308) loss_seg: 0.0318 (0.0328) loss_lansim: 0.0696 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5595 data: 0.0025 max mem: 31671 Epoch: [37] [4780/5278] eta: 0:22:34 lr: 3.515812597010449e-06 loss: 0.0288 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0686 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5666 data: 0.0025 max mem: 31671 Epoch: [37] [4790/5278] eta: 0:22:07 lr: 3.512949686919211e-06 loss: 0.0281 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0692 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5636 data: 0.0025 max mem: 31671 Epoch: [37] [4800/5278] eta: 0:21:40 lr: 3.5100865175650796e-06 loss: 0.0287 (0.0308) loss_seg: 0.0307 (0.0328) loss_lansim: 0.0692 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5617 data: 0.0025 max mem: 31671 Epoch: [37] [4810/5278] eta: 0:21:12 lr: 3.5072230886895564e-06 loss: 0.0280 (0.0307) loss_seg: 0.0300 (0.0328) loss_lansim: 0.0684 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5545 data: 0.0025 max mem: 31671 Epoch: [37] [4820/5278] eta: 0:20:45 lr: 3.5043594000336543e-06 loss: 0.0281 (0.0307) loss_seg: 0.0300 (0.0328) loss_lansim: 0.0690 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5355 data: 0.0025 max mem: 31671 Epoch: [37] [4830/5278] eta: 0:20:17 lr: 3.5014954513378768e-06 loss: 0.0287 (0.0308) loss_seg: 0.0307 (0.0328) loss_lansim: 0.0690 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5320 data: 0.0024 max mem: 31671 Epoch: [37] [4840/5278] eta: 0:19:50 lr: 3.498631242342247e-06 loss: 0.0277 (0.0307) loss_seg: 0.0283 (0.0328) loss_lansim: 0.0698 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5378 data: 0.0024 max mem: 31671 Epoch: [37] [4850/5278] eta: 0:19:23 lr: 3.4957667727862903e-06 loss: 0.0281 (0.0307) loss_seg: 0.0299 (0.0328) loss_lansim: 0.0690 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5258 data: 0.0024 max mem: 31671 Epoch: [37] [4860/5278] eta: 0:18:56 lr: 3.492902042409036e-06 loss: 0.0276 (0.0307) loss_seg: 0.0283 (0.0328) loss_lansim: 0.0686 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5352 data: 0.0024 max mem: 31671 Epoch: [37] [4870/5278] eta: 0:18:28 lr: 3.4900370509489966e-06 loss: 0.0254 (0.0307) loss_seg: 0.0279 (0.0328) loss_lansim: 0.0691 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5285 data: 0.0024 max mem: 31671 Epoch: [37] [4880/5278] eta: 0:18:01 lr: 3.4871717981442017e-06 loss: 0.0281 (0.0307) loss_seg: 0.0307 (0.0328) loss_lansim: 0.0690 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5146 data: 0.0024 max mem: 31671 Epoch: [37] [4890/5278] eta: 0:17:33 lr: 3.4843062837321734e-06 loss: 0.0285 (0.0307) loss_seg: 0.0311 (0.0328) loss_lansim: 0.0690 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.5084 data: 0.0024 max mem: 31671 Epoch: [37] [4900/5278] eta: 0:17:06 lr: 3.4814405074499375e-06 loss: 0.0285 (0.0307) loss_seg: 0.0311 (0.0328) loss_lansim: 0.0699 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.4949 data: 0.0024 max mem: 31671 Epoch: [37] [4910/5278] eta: 0:16:39 lr: 3.4785744690339928e-06 loss: 0.0288 (0.0307) loss_seg: 0.0313 (0.0328) loss_lansim: 0.0705 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.4800 data: 0.0023 max mem: 31671 Epoch: [37] [4920/5278] eta: 0:16:11 lr: 3.4757081682203514e-06 loss: 0.0289 (0.0308) loss_seg: 0.0315 (0.0328) loss_lansim: 0.0705 (0.0706) loss_contra: 0.0000 (0.0010) time: 2.4820 data: 0.0023 max mem: 31671 Epoch: [37] [4930/5278] eta: 0:15:44 lr: 3.4728416047445125e-06 loss: 0.0288 (0.0308) loss_seg: 0.0315 (0.0328) loss_lansim: 0.0712 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4699 data: 0.0024 max mem: 31671 Epoch: [37] [4940/5278] eta: 0:15:17 lr: 3.469974778341471e-06 loss: 0.0291 (0.0308) loss_seg: 0.0315 (0.0328) loss_lansim: 0.0713 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4523 data: 0.0024 max mem: 31671 Epoch: [37] [4950/5278] eta: 0:14:49 lr: 3.4671076887456915e-06 loss: 0.0294 (0.0308) loss_seg: 0.0315 (0.0328) loss_lansim: 0.0715 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4467 data: 0.0024 max mem: 31671 Epoch: [37] [4960/5278] eta: 0:14:22 lr: 3.464240335691147e-06 loss: 0.0300 (0.0308) loss_seg: 0.0322 (0.0328) loss_lansim: 0.0715 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4435 data: 0.0024 max mem: 31671 Epoch: [37] [4970/5278] eta: 0:13:55 lr: 3.4613727189112884e-06 loss: 0.0294 (0.0307) loss_seg: 0.0321 (0.0328) loss_lansim: 0.0717 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4476 data: 0.0024 max mem: 31671 Epoch: [37] [4980/5278] eta: 0:13:28 lr: 3.4585048381390586e-06 loss: 0.0281 (0.0307) loss_seg: 0.0308 (0.0328) loss_lansim: 0.0723 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4585 data: 0.0024 max mem: 31671 Epoch: [37] [4990/5278] eta: 0:13:00 lr: 3.455636693106864e-06 loss: 0.0282 (0.0307) loss_seg: 0.0308 (0.0328) loss_lansim: 0.0717 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4515 data: 0.0024 max mem: 31671 Epoch: [37] [5000/5278] eta: 0:12:33 lr: 3.4527682835466124e-06 loss: 0.0281 (0.0307) loss_seg: 0.0306 (0.0328) loss_lansim: 0.0713 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4568 data: 0.0024 max mem: 31671 Epoch: [37] [5010/5278] eta: 0:12:06 lr: 3.4498996091896858e-06 loss: 0.0277 (0.0307) loss_seg: 0.0296 (0.0328) loss_lansim: 0.0717 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4721 data: 0.0024 max mem: 31671 Epoch: [37] [5020/5278] eta: 0:11:39 lr: 3.4470306697669498e-06 loss: 0.0264 (0.0307) loss_seg: 0.0288 (0.0328) loss_lansim: 0.0713 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4824 data: 0.0024 max mem: 31671 Epoch: [37] [5030/5278] eta: 0:11:11 lr: 3.4441614650087307e-06 loss: 0.0258 (0.0307) loss_seg: 0.0282 (0.0328) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4901 data: 0.0024 max mem: 31671 Epoch: [37] [5040/5278] eta: 0:10:44 lr: 3.441291994644847e-06 loss: 0.0264 (0.0307) loss_seg: 0.0288 (0.0328) loss_lansim: 0.0701 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4971 data: 0.0024 max mem: 31671 Epoch: [37] [5050/5278] eta: 0:10:17 lr: 3.4384222584045866e-06 loss: 0.0264 (0.0307) loss_seg: 0.0289 (0.0328) loss_lansim: 0.0702 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5033 data: 0.0024 max mem: 31671 Epoch: [37] [5060/5278] eta: 0:09:50 lr: 3.435552256016711e-06 loss: 0.0266 (0.0307) loss_seg: 0.0290 (0.0328) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4969 data: 0.0023 max mem: 31671 Epoch: [37] [5070/5278] eta: 0:09:23 lr: 3.4326819872094574e-06 loss: 0.0273 (0.0307) loss_seg: 0.0290 (0.0328) loss_lansim: 0.0707 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4977 data: 0.0023 max mem: 31671 Epoch: [37] [5080/5278] eta: 0:08:56 lr: 3.4298114517105136e-06 loss: 0.0283 (0.0307) loss_seg: 0.0303 (0.0328) loss_lansim: 0.0705 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4973 data: 0.0023 max mem: 31671 Epoch: [37] [5090/5278] eta: 0:08:28 lr: 3.4269406492470568e-06 loss: 0.0277 (0.0307) loss_seg: 0.0303 (0.0328) loss_lansim: 0.0707 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5042 data: 0.0023 max mem: 31671 Epoch: [37] [5100/5278] eta: 0:08:01 lr: 3.4240695795457224e-06 loss: 0.0273 (0.0307) loss_seg: 0.0299 (0.0328) loss_lansim: 0.0707 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5062 data: 0.0023 max mem: 31671 Epoch: [37] [5110/5278] eta: 0:07:34 lr: 3.421198242332619e-06 loss: 0.0286 (0.0307) loss_seg: 0.0315 (0.0328) loss_lansim: 0.0698 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5020 data: 0.0023 max mem: 31671 Epoch: [37] [5120/5278] eta: 0:07:07 lr: 3.418326637333297e-06 loss: 0.0286 (0.0307) loss_seg: 0.0310 (0.0328) loss_lansim: 0.0707 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4964 data: 0.0024 max mem: 31671 Epoch: [37] [5130/5278] eta: 0:06:40 lr: 3.415454764272792e-06 loss: 0.0286 (0.0307) loss_seg: 0.0310 (0.0328) loss_lansim: 0.0708 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4902 data: 0.0024 max mem: 31671 Epoch: [37] [5140/5278] eta: 0:06:13 lr: 3.4125826228755894e-06 loss: 0.0282 (0.0307) loss_seg: 0.0308 (0.0328) loss_lansim: 0.0709 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4858 data: 0.0024 max mem: 31671 Epoch: [37] [5150/5278] eta: 0:05:46 lr: 3.409710212865644e-06 loss: 0.0290 (0.0307) loss_seg: 0.0310 (0.0328) loss_lansim: 0.0708 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4854 data: 0.0024 max mem: 31671 Epoch: [37] [5160/5278] eta: 0:05:19 lr: 3.4068375339663437e-06 loss: 0.0283 (0.0307) loss_seg: 0.0308 (0.0328) loss_lansim: 0.0707 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.4955 data: 0.0024 max mem: 31671 Epoch: [37] [5170/5278] eta: 0:04:52 lr: 3.4039645859005562e-06 loss: 0.0282 (0.0307) loss_seg: 0.0303 (0.0328) loss_lansim: 0.0708 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5081 data: 0.0024 max mem: 31671 Epoch: [37] [5180/5278] eta: 0:04:24 lr: 3.4010913683905952e-06 loss: 0.0273 (0.0307) loss_seg: 0.0289 (0.0328) loss_lansim: 0.0708 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5156 data: 0.0025 max mem: 31671 Epoch: [37] [5190/5278] eta: 0:03:57 lr: 3.3982178811582324e-06 loss: 0.0273 (0.0307) loss_seg: 0.0288 (0.0328) loss_lansim: 0.0714 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5254 data: 0.0025 max mem: 31671 Epoch: [37] [5200/5278] eta: 0:03:30 lr: 3.395344123924673e-06 loss: 0.0265 (0.0307) loss_seg: 0.0286 (0.0328) loss_lansim: 0.0708 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5381 data: 0.0025 max mem: 31671 Epoch: [37] [5210/5278] eta: 0:03:03 lr: 3.3924700964105883e-06 loss: 0.0279 (0.0307) loss_seg: 0.0289 (0.0328) loss_lansim: 0.0715 (0.0707) loss_contra: 0.0000 (0.0009) time: 2.5541 data: 0.0025 max mem: 31671 Epoch: [37] [5220/5278] eta: 0:02:36 lr: 3.3895957983360933e-06 loss: 0.0285 (0.0307) loss_seg: 0.0300 (0.0328) loss_lansim: 0.0698 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5665 data: 0.0025 max mem: 31671 Epoch: [37] [5230/5278] eta: 0:02:09 lr: 3.386721229420755e-06 loss: 0.0290 (0.0307) loss_seg: 0.0306 (0.0328) loss_lansim: 0.0690 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5841 data: 0.0025 max mem: 31671 Epoch: [37] [5240/5278] eta: 0:01:42 lr: 3.383846389383566e-06 loss: 0.0285 (0.0307) loss_seg: 0.0306 (0.0328) loss_lansim: 0.0681 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.6010 data: 0.0025 max mem: 31671 Epoch: [37] [5250/5278] eta: 0:01:15 lr: 3.380971277942979e-06 loss: 0.0293 (0.0307) loss_seg: 0.0312 (0.0328) loss_lansim: 0.0680 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.6027 data: 0.0026 max mem: 31671 Epoch: [37] [5260/5278] eta: 0:00:48 lr: 3.3780958948168845e-06 loss: 0.0297 (0.0307) loss_seg: 0.0313 (0.0328) loss_lansim: 0.0671 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [37] [5270/5278] eta: 0:00:21 lr: 3.375220239722617e-06 loss: 0.0284 (0.0307) loss_seg: 0.0311 (0.0328) loss_lansim: 0.0671 (0.0707) loss_contra: 0.0000 (0.0010) time: 2.5868 data: 0.0025 max mem: 31671 Epoch: [37] Total time: 3:57:39 Test: [ 0/2573] eta: 1:34:49 time: 2.2111 data: 1.9065 max mem: 31671 Test: [ 100/2573] eta: 0:06:47 time: 0.1444 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:14 time: 0.1508 data: 0.0016 max mem: 31671 Test: [ 300/2573] eta: 0:05:48 time: 0.1448 data: 0.0016 max mem: 31671 Test: [ 400/2573] eta: 0:05:29 time: 0.1451 data: 0.0015 max mem: 31671 Test: [ 500/2573] eta: 0:05:11 time: 0.1465 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:55 time: 0.1474 data: 0.0016 max mem: 31671 Test: [ 700/2573] eta: 0:04:41 time: 0.1513 data: 0.0016 max mem: 31671 Test: [ 800/2573] eta: 0:04:25 time: 0.1469 data: 0.0015 max mem: 31671 Test: [ 900/2573] eta: 0:04:10 time: 0.1482 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:54 time: 0.1459 data: 0.0015 max mem: 31671 Test: [1100/2573] eta: 0:03:39 time: 0.1471 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:24 time: 0.1508 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:09 time: 0.1495 data: 0.0015 max mem: 31671 Test: [1400/2573] eta: 0:02:54 time: 0.1444 data: 0.0015 max mem: 31671 Test: [1500/2573] eta: 0:02:39 time: 0.1483 data: 0.0015 max mem: 31671 Test: [1600/2573] eta: 0:02:24 time: 0.1481 data: 0.0017 max mem: 31671 Test: [1700/2573] eta: 0:02:09 time: 0.1475 data: 0.0016 max mem: 31671 Test: [1800/2573] eta: 0:01:54 time: 0.1473 data: 0.0016 max mem: 31671 Test: [1900/2573] eta: 0:01:39 time: 0.1448 data: 0.0016 max mem: 31671 Test: [2000/2573] eta: 0:01:24 time: 0.1432 data: 0.0016 max mem: 31671 Test: [2100/2573] eta: 0:01:10 time: 0.1504 data: 0.0015 max mem: 31671 Test: [2200/2573] eta: 0:00:55 time: 0.1446 data: 0.0015 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1475 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1458 data: 0.0015 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1485 data: 0.0015 max mem: 31671 Test: Total time: 0:06:21 Final results: precision@0.5 = 72.14 precision@0.6 = 68.46 precision@0.7 = 62.19 precision@0.8 = 51.25 precision@0.9 = 26.08 overall IoU = 61.38 mean IoU = 64.16 Average object IoU 0.6415825931062403 Overall IoU 61.37570766746952 Better epoch: 37 The best_performance is 61.37570766746952 Epoch: [38] [ 0/5278] eta: 6:37:01 lr: 3.3729195196397916e-06 loss: 0.0189 (0.0189) loss_seg: 0.0207 (0.0207) loss_lansim: 0.0536 (0.0536) loss_contra: 0.0000 (0.0000) time: 4.5134 data: 1.3706 max mem: 31671 Epoch: [38] [ 10/5278] eta: 4:02:54 lr: 3.3700433742886755e-06 loss: 0.0265 (0.0268) loss_seg: 0.0290 (0.0289) loss_lansim: 0.0714 (0.0688) loss_contra: 0.0000 (0.0001) time: 2.7666 data: 0.1274 max mem: 31671 Epoch: [38] [ 20/5278] eta: 3:56:13 lr: 3.367166956174899e-06 loss: 0.0255 (0.0266) loss_seg: 0.0278 (0.0288) loss_lansim: 0.0708 (0.0690) loss_contra: 0.0000 (0.0003) time: 2.6957 data: 0.0674 max mem: 31671 Epoch: [38] [ 30/5278] eta: 3:54:00 lr: 3.364290265013653e-06 loss: 0.0255 (0.0261) loss_seg: 0.0278 (0.0283) loss_lansim: 0.0706 (0.0707) loss_contra: 0.0000 (0.0003) time: 2.6754 data: 0.0465 max mem: 31671 Epoch: [38] [ 40/5278] eta: 3:52:01 lr: 3.3614133005195544e-06 loss: 0.0264 (0.0302) loss_seg: 0.0283 (0.0326) loss_lansim: 0.0706 (0.0707) loss_contra: 0.0000 (0.0003) time: 2.6577 data: 0.0359 max mem: 31671 Epoch: [38] [ 50/5278] eta: 3:50:06 lr: 3.3585360624066553e-06 loss: 0.0265 (0.0316) loss_seg: 0.0289 (0.0343) loss_lansim: 0.0678 (0.0700) loss_contra: 0.0000 (0.0008) time: 2.6409 data: 0.0295 max mem: 31671 Epoch: [38] [ 60/5278] eta: 3:49:04 lr: 3.3556585503884172e-06 loss: 0.0274 (0.0321) loss_seg: 0.0297 (0.0345) loss_lansim: 0.0686 (0.0705) loss_contra: 0.0000 (0.0009) time: 2.6341 data: 0.0251 max mem: 31671 Epoch: [38] [ 70/5278] eta: 3:48:40 lr: 3.3527807641777465e-06 loss: 0.0273 (0.0315) loss_seg: 0.0296 (0.0338) loss_lansim: 0.0688 (0.0709) loss_contra: 0.0000 (0.0009) time: 2.6345 data: 0.0220 max mem: 31671 Epoch: [38] [ 80/5278] eta: 3:48:48 lr: 3.3499027034869707e-06 loss: 0.0274 (0.0310) loss_seg: 0.0299 (0.0333) loss_lansim: 0.0686 (0.0705) loss_contra: 0.0000 (0.0008) time: 2.6410 data: 0.0195 max mem: 31671 Epoch: [38] [ 90/5278] eta: 3:48:12 lr: 3.3470243680278388e-06 loss: 0.0283 (0.0314) loss_seg: 0.0306 (0.0338) loss_lansim: 0.0686 (0.0711) loss_contra: 0.0000 (0.0008) time: 2.6393 data: 0.0177 max mem: 31671 Epoch: [38] [ 100/5278] eta: 3:47:15 lr: 3.3441457575115284e-06 loss: 0.0283 (0.0316) loss_seg: 0.0309 (0.0341) loss_lansim: 0.0686 (0.0707) loss_contra: 0.0000 (0.0007) time: 2.6146 data: 0.0027 max mem: 31671 Epoch: [38] [ 110/5278] eta: 3:47:06 lr: 3.341266871648616e-06 loss: 0.0287 (0.0316) loss_seg: 0.0310 (0.0340) loss_lansim: 0.0682 (0.0705) loss_contra: 0.0000 (0.0006) time: 2.6225 data: 0.0026 max mem: 31671 Epoch: [38] [ 120/5278] eta: 3:46:08 lr: 3.338387710149118e-06 loss: 0.0284 (0.0312) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0006) time: 2.6169 data: 0.0027 max mem: 31671 Epoch: [38] [ 130/5278] eta: 3:44:47 lr: 3.335508272722459e-06 loss: 0.0288 (0.0311) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0006) time: 2.6027 data: 0.0028 max mem: 31671 Epoch: [38] [ 140/5278] eta: 3:43:45 lr: 3.3326285590774853e-06 loss: 0.0287 (0.0308) loss_seg: 0.0309 (0.0330) loss_lansim: 0.0670 (0.0699) loss_contra: 0.0000 (0.0005) time: 2.5947 data: 0.0027 max mem: 31671 Epoch: [38] [ 150/5278] eta: 3:43:28 lr: 3.3297485689224367e-06 loss: 0.0286 (0.0306) loss_seg: 0.0306 (0.0328) loss_lansim: 0.0678 (0.0701) loss_contra: 0.0000 (0.0005) time: 2.6014 data: 0.0027 max mem: 31671 Epoch: [38] [ 160/5278] eta: 3:42:54 lr: 3.326868301964984e-06 loss: 0.0286 (0.0306) loss_seg: 0.0306 (0.0329) loss_lansim: 0.0678 (0.0701) loss_contra: 0.0000 (0.0005) time: 2.6005 data: 0.0027 max mem: 31671 Epoch: [38] [ 170/5278] eta: 3:42:46 lr: 3.3239877579121997e-06 loss: 0.0291 (0.0311) loss_seg: 0.0313 (0.0334) loss_lansim: 0.0678 (0.0701) loss_contra: 0.0000 (0.0004) time: 2.6042 data: 0.0027 max mem: 31671 Epoch: [38] [ 180/5278] eta: 3:41:52 lr: 3.321106936470571e-06 loss: 0.0295 (0.0311) loss_seg: 0.0315 (0.0334) loss_lansim: 0.0678 (0.0700) loss_contra: 0.0000 (0.0006) time: 2.5872 data: 0.0027 max mem: 31671 Epoch: [38] [ 190/5278] eta: 3:41:36 lr: 3.318225837345972e-06 loss: 0.0295 (0.0311) loss_seg: 0.0315 (0.0334) loss_lansim: 0.0678 (0.0704) loss_contra: 0.0000 (0.0005) time: 2.5897 data: 0.0027 max mem: 31671 Epoch: [38] [ 200/5278] eta: 3:41:04 lr: 3.315344460243701e-06 loss: 0.0306 (0.0313) loss_seg: 0.0315 (0.0336) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0005) time: 2.5906 data: 0.0027 max mem: 31671 Epoch: [38] [ 210/5278] eta: 3:40:53 lr: 3.312462804868449e-06 loss: 0.0303 (0.0313) loss_seg: 0.0315 (0.0336) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0005) time: 2.5911 data: 0.0027 max mem: 31671 Epoch: [38] [ 220/5278] eta: 3:40:20 lr: 3.309580870924318e-06 loss: 0.0303 (0.0311) loss_seg: 0.0315 (0.0333) loss_lansim: 0.0688 (0.0704) loss_contra: 0.0000 (0.0005) time: 2.5935 data: 0.0027 max mem: 31671 Epoch: [38] [ 230/5278] eta: 3:40:00 lr: 3.306698658114786e-06 loss: 0.0297 (0.0308) loss_seg: 0.0309 (0.0330) loss_lansim: 0.0687 (0.0704) loss_contra: 0.0000 (0.0005) time: 2.6084 data: 0.0027 max mem: 31671 Epoch: [38] [ 240/5278] eta: 3:39:24 lr: 3.303816166142749e-06 loss: 0.0303 (0.0311) loss_seg: 0.0326 (0.0333) loss_lansim: 0.0689 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.6132 data: 0.0027 max mem: 31671 Epoch: [38] [ 250/5278] eta: 3:39:13 lr: 3.300933394710492e-06 loss: 0.0303 (0.0310) loss_seg: 0.0326 (0.0333) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0006) time: 2.6182 data: 0.0027 max mem: 31671 Epoch: [38] [ 260/5278] eta: 3:39:07 lr: 3.2980503435196985e-06 loss: 0.0297 (0.0309) loss_seg: 0.0315 (0.0332) loss_lansim: 0.0688 (0.0702) loss_contra: 0.0000 (0.0006) time: 2.6311 data: 0.0027 max mem: 31671 Epoch: [38] [ 270/5278] eta: 3:38:21 lr: 3.2951670122714254e-06 loss: 0.0287 (0.0308) loss_seg: 0.0309 (0.0330) loss_lansim: 0.0691 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.6150 data: 0.0027 max mem: 31671 Epoch: [38] [ 280/5278] eta: 3:38:02 lr: 3.2922834006661357e-06 loss: 0.0286 (0.0307) loss_seg: 0.0307 (0.0330) loss_lansim: 0.0693 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.6288 data: 0.0027 max mem: 31671 Epoch: [38] [ 290/5278] eta: 3:37:36 lr: 3.2893995084036782e-06 loss: 0.0279 (0.0305) loss_seg: 0.0302 (0.0327) loss_lansim: 0.0693 (0.0705) loss_contra: 0.0000 (0.0005) time: 2.6258 data: 0.0026 max mem: 31671 Epoch: [38] [ 300/5278] eta: 3:36:52 lr: 3.2865153351832908e-06 loss: 0.0268 (0.0305) loss_seg: 0.0280 (0.0326) loss_lansim: 0.0688 (0.0705) loss_contra: 0.0000 (0.0005) time: 2.6178 data: 0.0026 max mem: 31671 Epoch: [38] [ 310/5278] eta: 3:36:25 lr: 3.283630880703576e-06 loss: 0.0265 (0.0304) loss_seg: 0.0279 (0.0325) loss_lansim: 0.0677 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.6110 data: 0.0026 max mem: 31671 Epoch: [38] [ 320/5278] eta: 3:35:49 lr: 3.28074614466254e-06 loss: 0.0265 (0.0308) loss_seg: 0.0280 (0.0330) loss_lansim: 0.0684 (0.0704) loss_contra: 0.0000 (0.0005) time: 2.6075 data: 0.0026 max mem: 31671 Epoch: [38] [ 330/5278] eta: 3:35:09 lr: 3.2778611267575615e-06 loss: 0.0268 (0.0307) loss_seg: 0.0280 (0.0329) loss_lansim: 0.0684 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.5956 data: 0.0026 max mem: 31671 Epoch: [38] [ 340/5278] eta: 3:34:48 lr: 3.2749758266853976e-06 loss: 0.0265 (0.0309) loss_seg: 0.0280 (0.0331) loss_lansim: 0.0689 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.6029 data: 0.0026 max mem: 31671 Epoch: [38] [ 350/5278] eta: 3:34:22 lr: 3.272090244142189e-06 loss: 0.0265 (0.0308) loss_seg: 0.0278 (0.0329) loss_lansim: 0.0686 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.5951 data: 0.0026 max mem: 31671 Epoch: [38] [ 360/5278] eta: 3:33:49 lr: 3.2692043788234308e-06 loss: 0.0264 (0.0306) loss_seg: 0.0275 (0.0328) loss_lansim: 0.0685 (0.0702) loss_contra: 0.0000 (0.0005) time: 2.5787 data: 0.0026 max mem: 31671 Epoch: [38] [ 370/5278] eta: 3:33:19 lr: 3.2663182304240114e-06 loss: 0.0260 (0.0306) loss_seg: 0.0279 (0.0327) loss_lansim: 0.0691 (0.0704) loss_contra: 0.0000 (0.0005) time: 2.5856 data: 0.0026 max mem: 31671 Epoch: [38] [ 380/5278] eta: 3:33:11 lr: 3.263431798638183e-06 loss: 0.0264 (0.0306) loss_seg: 0.0279 (0.0328) loss_lansim: 0.0689 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.5945 data: 0.0026 max mem: 31671 Epoch: [38] [ 390/5278] eta: 3:32:43 lr: 3.260545083159573e-06 loss: 0.0259 (0.0305) loss_seg: 0.0279 (0.0326) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0005) time: 2.5929 data: 0.0026 max mem: 31671 Epoch: [38] [ 400/5278] eta: 3:32:18 lr: 3.2576580836811575e-06 loss: 0.0264 (0.0306) loss_seg: 0.0285 (0.0328) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0006) time: 2.6035 data: 0.0026 max mem: 31671 Epoch: [38] [ 410/5278] eta: 3:31:56 lr: 3.2547707998952946e-06 loss: 0.0273 (0.0307) loss_seg: 0.0290 (0.0328) loss_lansim: 0.0695 (0.0702) loss_contra: 0.0000 (0.0006) time: 2.6070 data: 0.0026 max mem: 31671 Epoch: [38] [ 420/5278] eta: 3:31:31 lr: 3.251883231493701e-06 loss: 0.0287 (0.0308) loss_seg: 0.0312 (0.0329) loss_lansim: 0.0695 (0.0703) loss_contra: 0.0000 (0.0006) time: 2.6142 data: 0.0026 max mem: 31671 Epoch: [38] [ 430/5278] eta: 3:30:55 lr: 3.2489953781674623e-06 loss: 0.0286 (0.0307) loss_seg: 0.0304 (0.0328) loss_lansim: 0.0701 (0.0704) loss_contra: 0.0000 (0.0006) time: 2.6145 data: 0.0026 max mem: 31671 Epoch: [38] [ 440/5278] eta: 3:30:33 lr: 3.2461072396070014e-06 loss: 0.0286 (0.0309) loss_seg: 0.0304 (0.0331) loss_lansim: 0.0699 (0.0703) loss_contra: 0.0000 (0.0006) time: 2.6155 data: 0.0026 max mem: 31671 Epoch: [38] [ 450/5278] eta: 3:30:03 lr: 3.2432188155021185e-06 loss: 0.0297 (0.0309) loss_seg: 0.0324 (0.0330) loss_lansim: 0.0699 (0.0704) loss_contra: 0.0000 (0.0006) time: 2.6118 data: 0.0026 max mem: 31671 Epoch: [38] [ 460/5278] eta: 3:29:47 lr: 3.240330105541963e-06 loss: 0.0297 (0.0308) loss_seg: 0.0324 (0.0329) loss_lansim: 0.0706 (0.0703) loss_contra: 0.0000 (0.0006) time: 2.6269 data: 0.0026 max mem: 31671 Epoch: [38] [ 470/5278] eta: 3:29:17 lr: 3.2374411094150458e-06 loss: 0.0297 (0.0306) loss_seg: 0.0324 (0.0327) loss_lansim: 0.0699 (0.0703) loss_contra: 0.0000 (0.0006) time: 2.6261 data: 0.0026 max mem: 31671 Epoch: [38] [ 480/5278] eta: 3:28:42 lr: 3.234551826809206e-06 loss: 0.0297 (0.0307) loss_seg: 0.0323 (0.0328) loss_lansim: 0.0699 (0.0703) loss_contra: 0.0000 (0.0005) time: 2.6040 data: 0.0026 max mem: 31671 Epoch: [38] [ 490/5278] eta: 3:28:14 lr: 3.2316622574116543e-06 loss: 0.0307 (0.0307) loss_seg: 0.0325 (0.0328) loss_lansim: 0.0706 (0.0703) loss_contra: 0.0000 (0.0006) time: 2.6028 data: 0.0026 max mem: 31671 Epoch: [38] [ 500/5278] eta: 3:27:49 lr: 3.2287724009089415e-06 loss: 0.0297 (0.0306) loss_seg: 0.0323 (0.0327) loss_lansim: 0.0706 (0.0702) loss_contra: 0.0000 (0.0006) time: 2.6035 data: 0.0026 max mem: 31671 Epoch: [38] [ 510/5278] eta: 3:27:20 lr: 3.2258822569869707e-06 loss: 0.0295 (0.0307) loss_seg: 0.0316 (0.0328) loss_lansim: 0.0694 (0.0702) loss_contra: 0.0000 (0.0009) time: 2.5963 data: 0.0026 max mem: 31671 Epoch: [38] [ 520/5278] eta: 3:26:51 lr: 3.222991825330967e-06 loss: 0.0271 (0.0306) loss_seg: 0.0296 (0.0327) loss_lansim: 0.0682 (0.0700) loss_contra: 0.0000 (0.0009) time: 2.5928 data: 0.0026 max mem: 31671 Epoch: [38] [ 530/5278] eta: 3:26:24 lr: 3.2201011056255186e-06 loss: 0.0274 (0.0306) loss_seg: 0.0296 (0.0327) loss_lansim: 0.0678 (0.0700) loss_contra: 0.0000 (0.0009) time: 2.5995 data: 0.0025 max mem: 31671 Epoch: [38] [ 540/5278] eta: 3:25:52 lr: 3.217210097554545e-06 loss: 0.0274 (0.0306) loss_seg: 0.0296 (0.0327) loss_lansim: 0.0680 (0.0701) loss_contra: 0.0000 (0.0008) time: 2.5882 data: 0.0025 max mem: 31671 Epoch: [38] [ 550/5278] eta: 3:25:28 lr: 3.21431880080131e-06 loss: 0.0271 (0.0306) loss_seg: 0.0296 (0.0327) loss_lansim: 0.0661 (0.0700) loss_contra: 0.0000 (0.0008) time: 2.5948 data: 0.0025 max mem: 31671 Epoch: [38] [ 560/5278] eta: 3:25:06 lr: 3.2114272150483923e-06 loss: 0.0271 (0.0306) loss_seg: 0.0285 (0.0327) loss_lansim: 0.0664 (0.0700) loss_contra: 0.0000 (0.0008) time: 2.5889 data: 0.0025 max mem: 31671 Epoch: [38] [ 570/5278] eta: 3:24:48 lr: 3.2085353399777245e-06 loss: 0.0271 (0.0306) loss_seg: 0.0294 (0.0327) loss_lansim: 0.0664 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.6029 data: 0.0025 max mem: 31671 Epoch: [38] [ 580/5278] eta: 3:24:22 lr: 3.2056431752705625e-06 loss: 0.0271 (0.0306) loss_seg: 0.0292 (0.0327) loss_lansim: 0.0664 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.6108 data: 0.0025 max mem: 31671 Epoch: [38] [ 590/5278] eta: 3:23:54 lr: 3.202750720607492e-06 loss: 0.0275 (0.0307) loss_seg: 0.0296 (0.0328) loss_lansim: 0.0661 (0.0698) loss_contra: 0.0000 (0.0008) time: 2.6110 data: 0.0025 max mem: 31671 Epoch: [38] [ 600/5278] eta: 3:23:23 lr: 3.1998579756684307e-06 loss: 0.0284 (0.0307) loss_seg: 0.0306 (0.0328) loss_lansim: 0.0673 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.6026 data: 0.0025 max mem: 31671 Epoch: [38] [ 610/5278] eta: 3:22:56 lr: 3.1969649401326025e-06 loss: 0.0284 (0.0307) loss_seg: 0.0306 (0.0328) loss_lansim: 0.0674 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.6062 data: 0.0025 max mem: 31671 Epoch: [38] [ 620/5278] eta: 3:22:27 lr: 3.1940716136785745e-06 loss: 0.0284 (0.0306) loss_seg: 0.0306 (0.0327) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.6042 data: 0.0025 max mem: 31671 Epoch: [38] [ 630/5278] eta: 3:22:02 lr: 3.1911779959842255e-06 loss: 0.0286 (0.0306) loss_seg: 0.0310 (0.0327) loss_lansim: 0.0685 (0.0699) loss_contra: 0.0000 (0.0009) time: 2.6072 data: 0.0026 max mem: 31671 Epoch: [38] [ 640/5278] eta: 3:21:28 lr: 3.1882840867267607e-06 loss: 0.0287 (0.0307) loss_seg: 0.0311 (0.0328) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0009) time: 2.6032 data: 0.0025 max mem: 31671 Epoch: [38] [ 650/5278] eta: 3:21:02 lr: 3.1853898855826825e-06 loss: 0.0287 (0.0307) loss_seg: 0.0314 (0.0328) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0008) time: 2.6002 data: 0.0026 max mem: 31671 Epoch: [38] [ 660/5278] eta: 3:20:44 lr: 3.182495392227825e-06 loss: 0.0300 (0.0307) loss_seg: 0.0314 (0.0328) loss_lansim: 0.0692 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.6064 data: 0.0025 max mem: 31671 Epoch: [38] [ 670/5278] eta: 3:20:16 lr: 3.1796006063373303e-06 loss: 0.0289 (0.0306) loss_seg: 0.0314 (0.0327) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.5933 data: 0.0025 max mem: 31671 Epoch: [38] [ 680/5278] eta: 3:19:52 lr: 3.176705527585654e-06 loss: 0.0286 (0.0305) loss_seg: 0.0308 (0.0326) loss_lansim: 0.0691 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.5974 data: 0.0025 max mem: 31671 Epoch: [38] [ 690/5278] eta: 3:19:27 lr: 3.173810155646542e-06 loss: 0.0286 (0.0305) loss_seg: 0.0307 (0.0326) loss_lansim: 0.0697 (0.0699) loss_contra: 0.0000 (0.0008) time: 2.5997 data: 0.0025 max mem: 31671 Epoch: [38] [ 700/5278] eta: 3:19:05 lr: 3.1709144901930653e-06 loss: 0.0279 (0.0305) loss_seg: 0.0305 (0.0325) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0008) time: 2.6132 data: 0.0025 max mem: 31671 Epoch: [38] [ 710/5278] eta: 3:18:46 lr: 3.1680185308975903e-06 loss: 0.0285 (0.0305) loss_seg: 0.0307 (0.0326) loss_lansim: 0.0702 (0.0700) loss_contra: 0.0000 (0.0009) time: 2.6253 data: 0.0025 max mem: 31671 Epoch: [38] [ 720/5278] eta: 3:18:26 lr: 3.165122277431791e-06 loss: 0.0292 (0.0305) loss_seg: 0.0313 (0.0327) loss_lansim: 0.0704 (0.0700) loss_contra: 0.0000 (0.0009) time: 2.6390 data: 0.0025 max mem: 31671 Epoch: [38] [ 730/5278] eta: 3:17:58 lr: 3.1622257294666216e-06 loss: 0.0292 (0.0305) loss_seg: 0.0314 (0.0326) loss_lansim: 0.0699 (0.0700) loss_contra: 0.0000 (0.0009) time: 2.6350 data: 0.0025 max mem: 31671 Epoch: [38] [ 740/5278] eta: 3:17:29 lr: 3.159328886672354e-06 loss: 0.0289 (0.0305) loss_seg: 0.0308 (0.0326) loss_lansim: 0.0699 (0.0700) loss_contra: 0.0000 (0.0009) time: 2.6412 data: 0.0025 max mem: 31671 Epoch: [38] [ 750/5278] eta: 3:17:07 lr: 3.156431748718544e-06 loss: 0.0275 (0.0305) loss_seg: 0.0300 (0.0326) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0010) time: 2.6477 data: 0.0025 max mem: 31671 Epoch: [38] [ 760/5278] eta: 3:16:45 lr: 3.1535343152740503e-06 loss: 0.0272 (0.0305) loss_seg: 0.0297 (0.0326) loss_lansim: 0.0694 (0.0699) loss_contra: 0.0000 (0.0010) time: 2.6457 data: 0.0025 max mem: 31671 Epoch: [38] [ 770/5278] eta: 3:16:19 lr: 3.150636586006999e-06 loss: 0.0275 (0.0305) loss_seg: 0.0300 (0.0326) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0010) time: 2.6497 data: 0.0025 max mem: 31671 Epoch: [38] [ 780/5278] eta: 3:15:53 lr: 3.147738560584826e-06 loss: 0.0292 (0.0304) loss_seg: 0.0307 (0.0325) loss_lansim: 0.0699 (0.0700) loss_contra: 0.0000 (0.0010) time: 2.6453 data: 0.0025 max mem: 31671 Epoch: [38] [ 790/5278] eta: 3:15:22 lr: 3.1448402386742437e-06 loss: 0.0276 (0.0304) loss_seg: 0.0300 (0.0325) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0010) time: 2.6365 data: 0.0025 max mem: 31671 Epoch: [38] [ 800/5278] eta: 3:15:11 lr: 3.141941619941257e-06 loss: 0.0268 (0.0303) loss_seg: 0.0291 (0.0323) loss_lansim: 0.0682 (0.0700) loss_contra: 0.0000 (0.0010) time: 2.6588 data: 0.0025 max mem: 31671 Epoch: [38] [ 810/5278] eta: 3:14:41 lr: 3.139042704051129e-06 loss: 0.0260 (0.0303) loss_seg: 0.0281 (0.0324) loss_lansim: 0.0678 (0.0699) loss_contra: 0.0000 (0.0010) time: 2.6404 data: 0.0025 max mem: 31671 Epoch: [38] [ 820/5278] eta: 3:15:16 lr: 3.1361434906684237e-06 loss: 0.0260 (0.0304) loss_seg: 0.0282 (0.0325) loss_lansim: 0.0678 (0.0699) loss_contra: 0.0000 (0.0010) time: 2.7428 data: 0.0025 max mem: 31671 Epoch: [38] [ 830/5278] eta: 3:14:44 lr: 3.1332439794569733e-06 loss: 0.0268 (0.0304) loss_seg: 0.0284 (0.0325) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0010) time: 2.7375 data: 0.0024 max mem: 31671 Epoch: [38] [ 840/5278] eta: 3:14:27 lr: 3.130344170079886e-06 loss: 0.0270 (0.0305) loss_seg: 0.0284 (0.0326) loss_lansim: 0.0689 (0.0699) loss_contra: 0.0000 (0.0009) time: 2.7621 data: 0.0024 max mem: 31671 Epoch: [38] [ 850/5278] eta: 3:13:51 lr: 3.1274440621995456e-06 loss: 0.0270 (0.0304) loss_seg: 0.0284 (0.0325) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0009) time: 2.7380 data: 0.0024 max mem: 31671 Epoch: [38] [ 860/5278] eta: 3:13:24 lr: 3.1245436554775872e-06 loss: 0.0276 (0.0305) loss_seg: 0.0281 (0.0326) loss_lansim: 0.0678 (0.0698) loss_contra: 0.0000 (0.0009) time: 2.7309 data: 0.0023 max mem: 31671 Epoch: [38] [ 870/5278] eta: 3:12:58 lr: 3.1216429495749322e-06 loss: 0.0276 (0.0305) loss_seg: 0.0278 (0.0326) loss_lansim: 0.0678 (0.0698) loss_contra: 0.0000 (0.0009) time: 2.7319 data: 0.0023 max mem: 31671 Epoch: [38] [ 880/5278] eta: 3:12:31 lr: 3.118741944151761e-06 loss: 0.0257 (0.0304) loss_seg: 0.0276 (0.0325) loss_lansim: 0.0668 (0.0698) loss_contra: 0.0000 (0.0009) time: 2.7325 data: 0.0024 max mem: 31671 Epoch: [38] [ 890/5278] eta: 3:12:07 lr: 3.115840638867523e-06 loss: 0.0257 (0.0303) loss_seg: 0.0276 (0.0324) loss_lansim: 0.0665 (0.0697) loss_contra: 0.0000 (0.0009) time: 2.7466 data: 0.0024 max mem: 31671 Epoch: [38] [ 900/5278] eta: 3:11:40 lr: 3.112939033380905e-06 loss: 0.0260 (0.0303) loss_seg: 0.0276 (0.0324) loss_lansim: 0.0656 (0.0696) loss_contra: 0.0000 (0.0009) time: 2.7189 data: 0.0024 max mem: 31671 Epoch: [38] [ 910/5278] eta: 3:11:11 lr: 3.1100371273498754e-06 loss: 0.0260 (0.0302) loss_seg: 0.0274 (0.0323) loss_lansim: 0.0656 (0.0696) loss_contra: 0.0000 (0.0009) time: 2.7215 data: 0.0024 max mem: 31671 Epoch: [38] [ 920/5278] eta: 3:10:44 lr: 3.1071349204316483e-06 loss: 0.0249 (0.0302) loss_seg: 0.0271 (0.0323) loss_lansim: 0.0655 (0.0696) loss_contra: 0.0000 (0.0009) time: 2.6092 data: 0.0025 max mem: 31671 Epoch: [38] [ 930/5278] eta: 3:10:20 lr: 3.1042324122826986e-06 loss: 0.0249 (0.0302) loss_seg: 0.0269 (0.0323) loss_lansim: 0.0656 (0.0696) loss_contra: 0.0000 (0.0009) time: 2.6235 data: 0.0025 max mem: 31671 Epoch: [38] [ 940/5278] eta: 3:09:48 lr: 3.101329602558731e-06 loss: 0.0249 (0.0302) loss_seg: 0.0269 (0.0323) loss_lansim: 0.0659 (0.0697) loss_contra: 0.0000 (0.0009) time: 2.5941 data: 0.0026 max mem: 31671 Epoch: [38] [ 950/5278] eta: 3:09:22 lr: 3.0984264909147185e-06 loss: 0.0260 (0.0302) loss_seg: 0.0274 (0.0323) loss_lansim: 0.0664 (0.0697) loss_contra: 0.0000 (0.0009) time: 2.6126 data: 0.0026 max mem: 31671 Epoch: [38] [ 960/5278] eta: 3:08:54 lr: 3.095523077004873e-06 loss: 0.0260 (0.0302) loss_seg: 0.0269 (0.0323) loss_lansim: 0.0661 (0.0696) loss_contra: 0.0000 (0.0009) time: 2.6088 data: 0.0026 max mem: 31671 Epoch: [38] [ 970/5278] eta: 3:08:27 lr: 3.0926193604826565e-06 loss: 0.0260 (0.0302) loss_seg: 0.0274 (0.0323) loss_lansim: 0.0664 (0.0696) loss_contra: 0.0000 (0.0009) time: 2.6084 data: 0.0026 max mem: 31671 Epoch: [38] [ 980/5278] eta: 3:07:57 lr: 3.0897153410007516e-06 loss: 0.0263 (0.0302) loss_seg: 0.0282 (0.0323) loss_lansim: 0.0667 (0.0696) loss_contra: 0.0000 (0.0008) time: 2.6000 data: 0.0025 max mem: 31671 Epoch: [38] [ 990/5278] eta: 3:07:30 lr: 3.086811018211098e-06 loss: 0.0264 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0671 (0.0697) loss_contra: 0.0000 (0.0008) time: 2.5935 data: 0.0025 max mem: 31671 Epoch: [38] [1000/5278] eta: 3:07:03 lr: 3.0839063917648668e-06 loss: 0.0282 (0.0302) loss_seg: 0.0292 (0.0323) loss_lansim: 0.0690 (0.0697) loss_contra: 0.0000 (0.0008) time: 2.5942 data: 0.0025 max mem: 31671 Epoch: [38] [1010/5278] eta: 3:06:38 lr: 3.0810014613124666e-06 loss: 0.0286 (0.0302) loss_seg: 0.0308 (0.0323) loss_lansim: 0.0690 (0.0697) loss_contra: 0.0000 (0.0009) time: 2.6017 data: 0.0025 max mem: 31671 Epoch: [38] [1020/5278] eta: 3:06:12 lr: 3.0780962265035186e-06 loss: 0.0292 (0.0303) loss_seg: 0.0317 (0.0324) loss_lansim: 0.0695 (0.0697) loss_contra: 0.0000 (0.0009) time: 2.6043 data: 0.0025 max mem: 31671 Epoch: [38] [1030/5278] eta: 3:05:43 lr: 3.075190686986892e-06 loss: 0.0292 (0.0303) loss_seg: 0.0316 (0.0324) loss_lansim: 0.0690 (0.0697) loss_contra: 0.0000 (0.0009) time: 2.5931 data: 0.0025 max mem: 31671 Epoch: [38] [1040/5278] eta: 3:05:14 lr: 3.0722848424106743e-06 loss: 0.0291 (0.0303) loss_seg: 0.0315 (0.0324) loss_lansim: 0.0687 (0.0697) loss_contra: 0.0000 (0.0009) time: 2.5971 data: 0.0025 max mem: 31671 Epoch: [38] [1050/5278] eta: 3:04:45 lr: 3.0693786924221832e-06 loss: 0.0289 (0.0303) loss_seg: 0.0308 (0.0324) loss_lansim: 0.0685 (0.0696) loss_contra: 0.0000 (0.0010) time: 2.5889 data: 0.0026 max mem: 31671 Epoch: [38] [1060/5278] eta: 3:04:15 lr: 3.066472236667938e-06 loss: 0.0292 (0.0303) loss_seg: 0.0316 (0.0324) loss_lansim: 0.0689 (0.0697) loss_contra: 0.0000 (0.0016) time: 2.5843 data: 0.0026 max mem: 31671 Epoch: [38] [1070/5278] eta: 3:03:48 lr: 3.063565474793695e-06 loss: 0.0292 (0.0304) loss_seg: 0.0317 (0.0325) loss_lansim: 0.0692 (0.0697) loss_contra: 0.0000 (0.0016) time: 2.5820 data: 0.0026 max mem: 31671 Epoch: [38] [1080/5278] eta: 3:03:23 lr: 3.0606584064444207e-06 loss: 0.0293 (0.0304) loss_seg: 0.0318 (0.0325) loss_lansim: 0.0689 (0.0696) loss_contra: 0.0000 (0.0016) time: 2.5947 data: 0.0026 max mem: 31671 Epoch: [38] [1090/5278] eta: 3:02:54 lr: 3.057751031264294e-06 loss: 0.0297 (0.0304) loss_seg: 0.0323 (0.0325) loss_lansim: 0.0687 (0.0697) loss_contra: 0.0000 (0.0016) time: 2.5901 data: 0.0027 max mem: 31671 Epoch: [38] [1100/5278] eta: 3:02:29 lr: 3.0548433488967102e-06 loss: 0.0289 (0.0304) loss_seg: 0.0312 (0.0325) loss_lansim: 0.0687 (0.0697) loss_contra: 0.0000 (0.0016) time: 2.5909 data: 0.0027 max mem: 31671 Epoch: [38] [1110/5278] eta: 3:02:01 lr: 3.0519353589842545e-06 loss: 0.0292 (0.0304) loss_seg: 0.0315 (0.0325) loss_lansim: 0.0697 (0.0697) loss_contra: 0.0000 (0.0016) time: 2.5849 data: 0.0027 max mem: 31671 Epoch: [38] [1120/5278] eta: 3:01:35 lr: 3.0490270611687355e-06 loss: 0.0289 (0.0305) loss_seg: 0.0312 (0.0326) loss_lansim: 0.0697 (0.0697) loss_contra: 0.0000 (0.0015) time: 2.5828 data: 0.0026 max mem: 31671 Epoch: [38] [1130/5278] eta: 3:01:09 lr: 3.046118455091158e-06 loss: 0.0289 (0.0305) loss_seg: 0.0312 (0.0326) loss_lansim: 0.0706 (0.0698) loss_contra: 0.0000 (0.0015) time: 2.5909 data: 0.0026 max mem: 31671 Epoch: [38] [1140/5278] eta: 3:00:38 lr: 3.043209540391736e-06 loss: 0.0300 (0.0305) loss_seg: 0.0312 (0.0326) loss_lansim: 0.0707 (0.0698) loss_contra: 0.0000 (0.0015) time: 2.5831 data: 0.0025 max mem: 31671 Epoch: [38] [1150/5278] eta: 3:00:12 lr: 3.0403003167098566e-06 loss: 0.0303 (0.0305) loss_seg: 0.0323 (0.0325) loss_lansim: 0.0710 (0.0698) loss_contra: 0.0000 (0.0015) time: 2.5936 data: 0.0025 max mem: 31671 Epoch: [38] [1160/5278] eta: 2:59:44 lr: 3.037390783684126e-06 loss: 0.0293 (0.0305) loss_seg: 0.0314 (0.0326) loss_lansim: 0.0710 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5966 data: 0.0025 max mem: 31671 Epoch: [38] [1170/5278] eta: 2:59:19 lr: 3.0344809409523334e-06 loss: 0.0280 (0.0305) loss_seg: 0.0306 (0.0326) loss_lansim: 0.0710 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5998 data: 0.0025 max mem: 31671 Epoch: [38] [1180/5278] eta: 2:58:50 lr: 3.0315707881514646e-06 loss: 0.0288 (0.0305) loss_seg: 0.0310 (0.0326) loss_lansim: 0.0711 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5902 data: 0.0025 max mem: 31671 Epoch: [38] [1190/5278] eta: 2:58:24 lr: 3.028660324917672e-06 loss: 0.0300 (0.0305) loss_seg: 0.0310 (0.0326) loss_lansim: 0.0711 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5976 data: 0.0024 max mem: 31671 Epoch: [38] [1200/5278] eta: 2:57:59 lr: 3.0257495508863137e-06 loss: 0.0300 (0.0304) loss_seg: 0.0313 (0.0325) loss_lansim: 0.0711 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5975 data: 0.0024 max mem: 31671 Epoch: [38] [1210/5278] eta: 2:57:36 lr: 3.02283846569192e-06 loss: 0.0288 (0.0304) loss_seg: 0.0310 (0.0325) loss_lansim: 0.0710 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.6107 data: 0.0025 max mem: 31671 Epoch: [38] [1220/5278] eta: 2:57:05 lr: 3.0199270689682082e-06 loss: 0.0280 (0.0304) loss_seg: 0.0306 (0.0325) loss_lansim: 0.0710 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5972 data: 0.0025 max mem: 31671 Epoch: [38] [1230/5278] eta: 2:56:31 lr: 3.017015360348051e-06 loss: 0.0282 (0.0304) loss_seg: 0.0305 (0.0325) loss_lansim: 0.0704 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5729 data: 0.0025 max mem: 31671 Epoch: [38] [1240/5278] eta: 2:56:00 lr: 3.0141033394635147e-06 loss: 0.0282 (0.0305) loss_seg: 0.0303 (0.0325) loss_lansim: 0.0704 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5721 data: 0.0025 max mem: 31671 Epoch: [38] [1250/5278] eta: 2:55:28 lr: 3.011191005945829e-06 loss: 0.0280 (0.0304) loss_seg: 0.0303 (0.0325) loss_lansim: 0.0704 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5510 data: 0.0025 max mem: 31671 Epoch: [38] [1260/5278] eta: 2:54:57 lr: 3.0082783594253986e-06 loss: 0.0279 (0.0304) loss_seg: 0.0302 (0.0325) loss_lansim: 0.0685 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5389 data: 0.0025 max mem: 31671 Epoch: [38] [1270/5278] eta: 2:54:24 lr: 3.0053653995317724e-06 loss: 0.0279 (0.0304) loss_seg: 0.0300 (0.0325) loss_lansim: 0.0682 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5152 data: 0.0025 max mem: 31671 Epoch: [38] [1280/5278] eta: 2:53:54 lr: 3.002452125893681e-06 loss: 0.0280 (0.0305) loss_seg: 0.0302 (0.0326) loss_lansim: 0.0685 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5074 data: 0.0024 max mem: 31671 Epoch: [38] [1290/5278] eta: 2:53:21 lr: 2.999538538139009e-06 loss: 0.0280 (0.0305) loss_seg: 0.0303 (0.0326) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.4851 data: 0.0024 max mem: 31671 Epoch: [38] [1300/5278] eta: 2:52:51 lr: 2.996624635894804e-06 loss: 0.0280 (0.0306) loss_seg: 0.0303 (0.0326) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.4701 data: 0.0024 max mem: 31671 Epoch: [38] [1310/5278] eta: 2:52:23 lr: 2.9937104187872453e-06 loss: 0.0280 (0.0306) loss_seg: 0.0303 (0.0327) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.4522 data: 0.0024 max mem: 31671 Epoch: [38] [1320/5278] eta: 2:51:52 lr: 2.990795886441686e-06 loss: 0.0280 (0.0306) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4481 data: 0.0024 max mem: 31671 Epoch: [38] [1330/5278] eta: 2:51:22 lr: 2.9878810384826185e-06 loss: 0.0276 (0.0306) loss_seg: 0.0289 (0.0326) loss_lansim: 0.0685 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4546 data: 0.0024 max mem: 31671 Epoch: [38] [1340/5278] eta: 2:50:55 lr: 2.984965874533681e-06 loss: 0.0271 (0.0305) loss_seg: 0.0285 (0.0326) loss_lansim: 0.0685 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4647 data: 0.0024 max mem: 31671 Epoch: [38] [1350/5278] eta: 2:50:26 lr: 2.982050394217661e-06 loss: 0.0274 (0.0305) loss_seg: 0.0288 (0.0326) loss_lansim: 0.0682 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4712 data: 0.0023 max mem: 31671 Epoch: [38] [1360/5278] eta: 2:49:56 lr: 2.9791345971564635e-06 loss: 0.0274 (0.0305) loss_seg: 0.0288 (0.0326) loss_lansim: 0.0685 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4743 data: 0.0023 max mem: 31671 Epoch: [38] [1370/5278] eta: 2:49:25 lr: 2.9762184829711532e-06 loss: 0.0274 (0.0305) loss_seg: 0.0287 (0.0326) loss_lansim: 0.0688 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4795 data: 0.0023 max mem: 31671 Epoch: [38] [1380/5278] eta: 2:48:56 lr: 2.973302051281919e-06 loss: 0.0263 (0.0305) loss_seg: 0.0283 (0.0325) loss_lansim: 0.0682 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4790 data: 0.0023 max mem: 31671 Epoch: [38] [1390/5278] eta: 2:48:28 lr: 2.9703853017080885e-06 loss: 0.0263 (0.0305) loss_seg: 0.0283 (0.0325) loss_lansim: 0.0685 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4925 data: 0.0023 max mem: 31671 Epoch: [38] [1400/5278] eta: 2:48:00 lr: 2.967468233868096e-06 loss: 0.0266 (0.0305) loss_seg: 0.0283 (0.0325) loss_lansim: 0.0688 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4948 data: 0.0024 max mem: 31671 Epoch: [38] [1410/5278] eta: 2:47:31 lr: 2.9645508473795212e-06 loss: 0.0273 (0.0305) loss_seg: 0.0291 (0.0325) loss_lansim: 0.0688 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4929 data: 0.0024 max mem: 31671 Epoch: [38] [1420/5278] eta: 2:47:03 lr: 2.9616331418590587e-06 loss: 0.0274 (0.0305) loss_seg: 0.0291 (0.0325) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5000 data: 0.0024 max mem: 31671 Epoch: [38] [1430/5278] eta: 2:46:34 lr: 2.958715116922529e-06 loss: 0.0277 (0.0305) loss_seg: 0.0291 (0.0325) loss_lansim: 0.0676 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5042 data: 0.0024 max mem: 31671 Epoch: [38] [1440/5278] eta: 2:46:06 lr: 2.9557967721848474e-06 loss: 0.0281 (0.0305) loss_seg: 0.0297 (0.0325) loss_lansim: 0.0676 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4969 data: 0.0024 max mem: 31671 Epoch: [38] [1450/5278] eta: 2:45:37 lr: 2.9528781072600633e-06 loss: 0.0277 (0.0304) loss_seg: 0.0291 (0.0325) loss_lansim: 0.0675 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4984 data: 0.0024 max mem: 31671 Epoch: [38] [1460/5278] eta: 2:45:09 lr: 2.9499591217613276e-06 loss: 0.0283 (0.0305) loss_seg: 0.0303 (0.0325) loss_lansim: 0.0675 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5029 data: 0.0024 max mem: 31671 Epoch: [38] [1470/5278] eta: 2:44:39 lr: 2.9470398153009064e-06 loss: 0.0286 (0.0305) loss_seg: 0.0309 (0.0325) loss_lansim: 0.0676 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.5006 data: 0.0025 max mem: 31671 Epoch: [38] [1480/5278] eta: 2:44:11 lr: 2.944120187490148e-06 loss: 0.0293 (0.0305) loss_seg: 0.0320 (0.0326) loss_lansim: 0.0677 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.5031 data: 0.0024 max mem: 31671 Epoch: [38] [1490/5278] eta: 2:43:43 lr: 2.941200237939522e-06 loss: 0.0296 (0.0305) loss_seg: 0.0322 (0.0325) loss_lansim: 0.0687 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5018 data: 0.0024 max mem: 31671 Epoch: [38] [1500/5278] eta: 2:43:15 lr: 2.9382799662585884e-06 loss: 0.0295 (0.0305) loss_seg: 0.0320 (0.0326) loss_lansim: 0.0682 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5005 data: 0.0024 max mem: 31671 Epoch: [38] [1510/5278] eta: 2:42:46 lr: 2.9353593720560095e-06 loss: 0.0295 (0.0305) loss_seg: 0.0311 (0.0326) loss_lansim: 0.0682 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4949 data: 0.0024 max mem: 31671 Epoch: [38] [1520/5278] eta: 2:42:17 lr: 2.932438454939518e-06 loss: 0.0283 (0.0304) loss_seg: 0.0308 (0.0325) loss_lansim: 0.0687 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4932 data: 0.0025 max mem: 31671 Epoch: [38] [1530/5278] eta: 2:41:49 lr: 2.9295172145159545e-06 loss: 0.0296 (0.0305) loss_seg: 0.0320 (0.0325) loss_lansim: 0.0687 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4932 data: 0.0024 max mem: 31671 Epoch: [38] [1540/5278] eta: 2:41:20 lr: 2.9265956503912383e-06 loss: 0.0296 (0.0305) loss_seg: 0.0320 (0.0325) loss_lansim: 0.0686 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4895 data: 0.0024 max mem: 31671 Epoch: [38] [1550/5278] eta: 2:40:50 lr: 2.9236737621703785e-06 loss: 0.0297 (0.0305) loss_seg: 0.0320 (0.0326) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.4790 data: 0.0024 max mem: 31671 Epoch: [38] [1560/5278] eta: 2:40:21 lr: 2.920751549457442e-06 loss: 0.0291 (0.0305) loss_seg: 0.0312 (0.0326) loss_lansim: 0.0689 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.4749 data: 0.0024 max mem: 31671 Epoch: [38] [1570/5278] eta: 2:39:52 lr: 2.9178290118555902e-06 loss: 0.0284 (0.0305) loss_seg: 0.0303 (0.0326) loss_lansim: 0.0690 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4747 data: 0.0024 max mem: 31671 Epoch: [38] [1580/5278] eta: 2:39:24 lr: 2.9149061489670525e-06 loss: 0.0277 (0.0305) loss_seg: 0.0293 (0.0325) loss_lansim: 0.0690 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.4779 data: 0.0024 max mem: 31671 Epoch: [38] [1590/5278] eta: 2:38:56 lr: 2.911982960393126e-06 loss: 0.0275 (0.0305) loss_seg: 0.0291 (0.0325) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0014) time: 2.4719 data: 0.0024 max mem: 31671 Epoch: [38] [1600/5278] eta: 2:38:29 lr: 2.9090594457341815e-06 loss: 0.0275 (0.0305) loss_seg: 0.0291 (0.0326) loss_lansim: 0.0690 (0.0698) loss_contra: 0.0000 (0.0014) time: 2.4772 data: 0.0023 max mem: 31671 Epoch: [38] [1610/5278] eta: 2:38:01 lr: 2.906135604589631e-06 loss: 0.0275 (0.0305) loss_seg: 0.0289 (0.0326) loss_lansim: 0.0686 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.4788 data: 0.0024 max mem: 31671 Epoch: [38] [1620/5278] eta: 2:37:33 lr: 2.903211436557968e-06 loss: 0.0275 (0.0305) loss_seg: 0.0290 (0.0325) loss_lansim: 0.0674 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.4799 data: 0.0023 max mem: 31671 Epoch: [38] [1630/5278] eta: 2:37:04 lr: 2.900286941236734e-06 loss: 0.0268 (0.0305) loss_seg: 0.0289 (0.0325) loss_lansim: 0.0674 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.4739 data: 0.0023 max mem: 31671 Epoch: [38] [1640/5278] eta: 2:36:37 lr: 2.8973621182225312e-06 loss: 0.0267 (0.0305) loss_seg: 0.0287 (0.0325) loss_lansim: 0.0673 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.4798 data: 0.0023 max mem: 31671 Epoch: [38] [1650/5278] eta: 2:36:10 lr: 2.8944369671109915e-06 loss: 0.0261 (0.0304) loss_seg: 0.0277 (0.0325) loss_lansim: 0.0694 (0.0698) loss_contra: 0.0000 (0.0013) time: 2.4947 data: 0.0023 max mem: 31671 Epoch: [38] [1660/5278] eta: 2:35:41 lr: 2.891511487496811e-06 loss: 0.0263 (0.0305) loss_seg: 0.0279 (0.0325) loss_lansim: 0.0694 (0.0698) loss_contra: 0.0000 (0.0015) time: 2.4897 data: 0.0023 max mem: 31671 Epoch: [38] [1670/5278] eta: 2:35:15 lr: 2.8885856789737263e-06 loss: 0.0263 (0.0304) loss_seg: 0.0279 (0.0325) loss_lansim: 0.0694 (0.0698) loss_contra: 0.0000 (0.0015) time: 2.5030 data: 0.0023 max mem: 31671 Epoch: [38] [1680/5278] eta: 2:34:47 lr: 2.8856595411345167e-06 loss: 0.0267 (0.0305) loss_seg: 0.0283 (0.0325) loss_lansim: 0.0700 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.4990 data: 0.0023 max mem: 31671 Epoch: [38] [1690/5278] eta: 2:34:20 lr: 2.882733073570979e-06 loss: 0.0268 (0.0304) loss_seg: 0.0288 (0.0325) loss_lansim: 0.0694 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5054 data: 0.0023 max mem: 31671 Epoch: [38] [1700/5278] eta: 2:33:53 lr: 2.8798062758739643e-06 loss: 0.0267 (0.0304) loss_seg: 0.0282 (0.0325) loss_lansim: 0.0692 (0.0698) loss_contra: 0.0000 (0.0015) time: 2.5049 data: 0.0023 max mem: 31671 Epoch: [38] [1710/5278] eta: 2:33:25 lr: 2.876879147633345e-06 loss: 0.0267 (0.0304) loss_seg: 0.0283 (0.0325) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5030 data: 0.0023 max mem: 31671 Epoch: [38] [1720/5278] eta: 2:32:57 lr: 2.8739516884380266e-06 loss: 0.0272 (0.0304) loss_seg: 0.0288 (0.0325) loss_lansim: 0.0703 (0.0699) loss_contra: 0.0000 (0.0015) time: 2.5003 data: 0.0023 max mem: 31671 Epoch: [38] [1730/5278] eta: 2:32:31 lr: 2.8710238978759183e-06 loss: 0.0265 (0.0304) loss_seg: 0.0283 (0.0324) loss_lansim: 0.0705 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5104 data: 0.0023 max mem: 31671 Epoch: [38] [1740/5278] eta: 2:32:03 lr: 2.8680957755339676e-06 loss: 0.0265 (0.0304) loss_seg: 0.0283 (0.0324) loss_lansim: 0.0705 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5086 data: 0.0023 max mem: 31671 Epoch: [38] [1750/5278] eta: 2:31:34 lr: 2.865167320998132e-06 loss: 0.0273 (0.0304) loss_seg: 0.0288 (0.0324) loss_lansim: 0.0705 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4954 data: 0.0023 max mem: 31671 Epoch: [38] [1760/5278] eta: 2:31:06 lr: 2.862238533853388e-06 loss: 0.0273 (0.0304) loss_seg: 0.0288 (0.0324) loss_lansim: 0.0705 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4978 data: 0.0024 max mem: 31671 Epoch: [38] [1770/5278] eta: 2:30:40 lr: 2.859309413683701e-06 loss: 0.0276 (0.0304) loss_seg: 0.0288 (0.0324) loss_lansim: 0.0708 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4958 data: 0.0024 max mem: 31671 Epoch: [38] [1780/5278] eta: 2:30:12 lr: 2.8563799600720614e-06 loss: 0.0264 (0.0303) loss_seg: 0.0285 (0.0324) loss_lansim: 0.0708 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4964 data: 0.0024 max mem: 31671 Epoch: [38] [1790/5278] eta: 2:29:44 lr: 2.8534501726004553e-06 loss: 0.0266 (0.0303) loss_seg: 0.0285 (0.0323) loss_lansim: 0.0708 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4869 data: 0.0024 max mem: 31671 Epoch: [38] [1800/5278] eta: 2:29:17 lr: 2.8505200508498677e-06 loss: 0.0264 (0.0303) loss_seg: 0.0282 (0.0323) loss_lansim: 0.0712 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4839 data: 0.0024 max mem: 31671 Epoch: [38] [1810/5278] eta: 2:28:49 lr: 2.8475895944002843e-06 loss: 0.0264 (0.0303) loss_seg: 0.0281 (0.0323) loss_lansim: 0.0716 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4835 data: 0.0024 max mem: 31671 Epoch: [38] [1820/5278] eta: 2:28:20 lr: 2.8446588028306627e-06 loss: 0.0264 (0.0303) loss_seg: 0.0281 (0.0323) loss_lansim: 0.0712 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4797 data: 0.0024 max mem: 31671 Epoch: [38] [1830/5278] eta: 2:27:53 lr: 2.841727675718968e-06 loss: 0.0266 (0.0303) loss_seg: 0.0286 (0.0323) loss_lansim: 0.0710 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4746 data: 0.0024 max mem: 31671 Epoch: [38] [1840/5278] eta: 2:27:25 lr: 2.838796212642142e-06 loss: 0.0273 (0.0304) loss_seg: 0.0289 (0.0324) loss_lansim: 0.0711 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4674 data: 0.0024 max mem: 31671 Epoch: [38] [1850/5278] eta: 2:26:58 lr: 2.8358644131761157e-06 loss: 0.0280 (0.0304) loss_seg: 0.0304 (0.0325) loss_lansim: 0.0711 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4790 data: 0.0024 max mem: 31671 Epoch: [38] [1860/5278] eta: 2:26:31 lr: 2.832932276895775e-06 loss: 0.0278 (0.0304) loss_seg: 0.0289 (0.0324) loss_lansim: 0.0712 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4832 data: 0.0024 max mem: 31671 Epoch: [38] [1870/5278] eta: 2:26:03 lr: 2.829999803375e-06 loss: 0.0278 (0.0304) loss_seg: 0.0294 (0.0324) loss_lansim: 0.0705 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4757 data: 0.0023 max mem: 31671 Epoch: [38] [1880/5278] eta: 2:25:36 lr: 2.8270669921866337e-06 loss: 0.0278 (0.0304) loss_seg: 0.0294 (0.0324) loss_lansim: 0.0705 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4750 data: 0.0023 max mem: 31671 Epoch: [38] [1890/5278] eta: 2:25:09 lr: 2.824133842902491e-06 loss: 0.0280 (0.0304) loss_seg: 0.0303 (0.0324) loss_lansim: 0.0705 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4808 data: 0.0023 max mem: 31671 Epoch: [38] [1900/5278] eta: 2:24:42 lr: 2.8212003550933302e-06 loss: 0.0281 (0.0304) loss_seg: 0.0308 (0.0324) loss_lansim: 0.0694 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4772 data: 0.0023 max mem: 31671 Epoch: [38] [1910/5278] eta: 2:24:14 lr: 2.818266528328887e-06 loss: 0.0286 (0.0304) loss_seg: 0.0309 (0.0324) loss_lansim: 0.0694 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4794 data: 0.0023 max mem: 31671 Epoch: [38] [1920/5278] eta: 2:23:47 lr: 2.8153323621778454e-06 loss: 0.0288 (0.0304) loss_seg: 0.0313 (0.0325) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4833 data: 0.0023 max mem: 31671 Epoch: [38] [1930/5278] eta: 2:23:21 lr: 2.812397856207848e-06 loss: 0.0287 (0.0304) loss_seg: 0.0312 (0.0325) loss_lansim: 0.0701 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4876 data: 0.0024 max mem: 31671 Epoch: [38] [1940/5278] eta: 2:22:53 lr: 2.8094630099854626e-06 loss: 0.0287 (0.0304) loss_seg: 0.0312 (0.0325) loss_lansim: 0.0694 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4883 data: 0.0024 max mem: 31671 Epoch: [38] [1950/5278] eta: 2:22:26 lr: 2.8065278230762228e-06 loss: 0.0286 (0.0304) loss_seg: 0.0308 (0.0325) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4850 data: 0.0024 max mem: 31671 Epoch: [38] [1960/5278] eta: 2:21:58 lr: 2.803592295044593e-06 loss: 0.0299 (0.0304) loss_seg: 0.0313 (0.0325) loss_lansim: 0.0694 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4762 data: 0.0024 max mem: 31671 Epoch: [38] [1970/5278] eta: 2:21:30 lr: 2.800656425453982e-06 loss: 0.0301 (0.0304) loss_seg: 0.0329 (0.0325) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4763 data: 0.0023 max mem: 31671 Epoch: [38] [1980/5278] eta: 2:21:04 lr: 2.79772021386671e-06 loss: 0.0301 (0.0304) loss_seg: 0.0329 (0.0325) loss_lansim: 0.0690 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4778 data: 0.0023 max mem: 31671 Epoch: [38] [1990/5278] eta: 2:20:37 lr: 2.7947836598440434e-06 loss: 0.0289 (0.0304) loss_seg: 0.0312 (0.0325) loss_lansim: 0.0691 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.4823 data: 0.0024 max mem: 31671 Epoch: [38] [2000/5278] eta: 2:20:11 lr: 2.791846762946169e-06 loss: 0.0289 (0.0304) loss_seg: 0.0312 (0.0324) loss_lansim: 0.0690 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4884 data: 0.0024 max mem: 31671 Epoch: [38] [2010/5278] eta: 2:19:44 lr: 2.788909522732199e-06 loss: 0.0287 (0.0304) loss_seg: 0.0312 (0.0324) loss_lansim: 0.0687 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4898 data: 0.0024 max mem: 31671 Epoch: [38] [2020/5278] eta: 2:19:18 lr: 2.7859719387601428e-06 loss: 0.0277 (0.0304) loss_seg: 0.0287 (0.0324) loss_lansim: 0.0679 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4935 data: 0.0024 max mem: 31671 Epoch: [38] [2030/5278] eta: 2:18:51 lr: 2.7830340105869407e-06 loss: 0.0276 (0.0304) loss_seg: 0.0288 (0.0324) loss_lansim: 0.0678 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4867 data: 0.0024 max mem: 31671 Epoch: [38] [2040/5278] eta: 2:18:23 lr: 2.7800957377684367e-06 loss: 0.0269 (0.0304) loss_seg: 0.0280 (0.0324) loss_lansim: 0.0678 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4885 data: 0.0024 max mem: 31671 Epoch: [38] [2050/5278] eta: 2:17:56 lr: 2.7771571198593787e-06 loss: 0.0269 (0.0304) loss_seg: 0.0287 (0.0324) loss_lansim: 0.0677 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4863 data: 0.0024 max mem: 31671 Epoch: [38] [2060/5278] eta: 2:17:29 lr: 2.774218156413421e-06 loss: 0.0262 (0.0304) loss_seg: 0.0279 (0.0324) loss_lansim: 0.0678 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4893 data: 0.0024 max mem: 31671 Epoch: [38] [2070/5278] eta: 2:17:01 lr: 2.771278846983096e-06 loss: 0.0259 (0.0304) loss_seg: 0.0278 (0.0324) loss_lansim: 0.0680 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4873 data: 0.0024 max mem: 31671 Epoch: [38] [2080/5278] eta: 2:16:34 lr: 2.768339191119847e-06 loss: 0.0262 (0.0304) loss_seg: 0.0278 (0.0324) loss_lansim: 0.0681 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4815 data: 0.0025 max mem: 31671 Epoch: [38] [2090/5278] eta: 2:16:07 lr: 2.765399188374e-06 loss: 0.0260 (0.0304) loss_seg: 0.0278 (0.0324) loss_lansim: 0.0676 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4740 data: 0.0025 max mem: 31671 Epoch: [38] [2100/5278] eta: 2:15:39 lr: 2.7624588382947723e-06 loss: 0.0260 (0.0304) loss_seg: 0.0278 (0.0324) loss_lansim: 0.0680 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4625 data: 0.0024 max mem: 31671 Epoch: [38] [2110/5278] eta: 2:15:13 lr: 2.7595181404302404e-06 loss: 0.0256 (0.0304) loss_seg: 0.0277 (0.0324) loss_lansim: 0.0676 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.4639 data: 0.0024 max mem: 31671 Epoch: [38] [2120/5278] eta: 2:14:45 lr: 2.7565770943273775e-06 loss: 0.0273 (0.0304) loss_seg: 0.0288 (0.0324) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4575 data: 0.0024 max mem: 31671 Epoch: [38] [2130/5278] eta: 2:14:17 lr: 2.7536356995320233e-06 loss: 0.0264 (0.0303) loss_seg: 0.0280 (0.0324) loss_lansim: 0.0672 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4517 data: 0.0023 max mem: 31671 Epoch: [38] [2140/5278] eta: 2:13:49 lr: 2.7506939555888903e-06 loss: 0.0273 (0.0303) loss_seg: 0.0291 (0.0324) loss_lansim: 0.0672 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4438 data: 0.0023 max mem: 31671 Epoch: [38] [2150/5278] eta: 2:13:22 lr: 2.747751862041536e-06 loss: 0.0260 (0.0303) loss_seg: 0.0275 (0.0324) loss_lansim: 0.0672 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4427 data: 0.0023 max mem: 31671 Epoch: [38] [2160/5278] eta: 2:12:56 lr: 2.744809418432396e-06 loss: 0.0260 (0.0303) loss_seg: 0.0275 (0.0324) loss_lansim: 0.0671 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4503 data: 0.0023 max mem: 31671 Epoch: [38] [2170/5278] eta: 2:12:30 lr: 2.7418666243027563e-06 loss: 0.0273 (0.0303) loss_seg: 0.0280 (0.0324) loss_lansim: 0.0672 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4563 data: 0.0024 max mem: 31671 Epoch: [38] [2180/5278] eta: 2:12:03 lr: 2.73892347919276e-06 loss: 0.0256 (0.0303) loss_seg: 0.0278 (0.0324) loss_lansim: 0.0672 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4564 data: 0.0024 max mem: 31671 Epoch: [38] [2190/5278] eta: 2:11:37 lr: 2.735979982641376e-06 loss: 0.0259 (0.0303) loss_seg: 0.0284 (0.0324) loss_lansim: 0.0681 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.4690 data: 0.0024 max mem: 31671 Epoch: [38] [2200/5278] eta: 2:11:11 lr: 2.733036134186438e-06 loss: 0.0255 (0.0303) loss_seg: 0.0278 (0.0323) loss_lansim: 0.0687 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4767 data: 0.0024 max mem: 31671 Epoch: [38] [2210/5278] eta: 2:10:45 lr: 2.7300919333646085e-06 loss: 0.0268 (0.0303) loss_seg: 0.0288 (0.0324) loss_lansim: 0.0688 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4794 data: 0.0025 max mem: 31671 Epoch: [38] [2220/5278] eta: 2:10:21 lr: 2.727147379711393e-06 loss: 0.0263 (0.0303) loss_seg: 0.0280 (0.0324) loss_lansim: 0.0694 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.4982 data: 0.0025 max mem: 31671 Epoch: [38] [2230/5278] eta: 2:09:55 lr: 2.7242024727611054e-06 loss: 0.0254 (0.0303) loss_seg: 0.0274 (0.0323) loss_lansim: 0.0704 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5119 data: 0.0025 max mem: 31671 Epoch: [38] [2240/5278] eta: 2:09:29 lr: 2.721257212046905e-06 loss: 0.0256 (0.0303) loss_seg: 0.0273 (0.0323) loss_lansim: 0.0704 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5275 data: 0.0025 max mem: 31671 Epoch: [38] [2250/5278] eta: 2:09:04 lr: 2.718311597100766e-06 loss: 0.0259 (0.0303) loss_seg: 0.0277 (0.0323) loss_lansim: 0.0704 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5373 data: 0.0025 max mem: 31671 Epoch: [38] [2260/5278] eta: 2:08:39 lr: 2.7153656274534847e-06 loss: 0.0266 (0.0303) loss_seg: 0.0281 (0.0323) loss_lansim: 0.0694 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5497 data: 0.0025 max mem: 31671 Epoch: [38] [2270/5278] eta: 2:08:14 lr: 2.7124193026346504e-06 loss: 0.0259 (0.0303) loss_seg: 0.0275 (0.0323) loss_lansim: 0.0702 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5554 data: 0.0025 max mem: 31671 Epoch: [38] [2280/5278] eta: 2:07:48 lr: 2.709472622172679e-06 loss: 0.0266 (0.0302) loss_seg: 0.0277 (0.0323) loss_lansim: 0.0702 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5630 data: 0.0025 max mem: 31671 Epoch: [38] [2290/5278] eta: 2:07:22 lr: 2.7065255855947838e-06 loss: 0.0266 (0.0302) loss_seg: 0.0277 (0.0323) loss_lansim: 0.0702 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [38] [2300/5278] eta: 2:06:56 lr: 2.703578192426977e-06 loss: 0.0266 (0.0302) loss_seg: 0.0280 (0.0323) loss_lansim: 0.0694 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5631 data: 0.0025 max mem: 31671 Epoch: [38] [2310/5278] eta: 2:06:31 lr: 2.7006304421940698e-06 loss: 0.0266 (0.0303) loss_seg: 0.0280 (0.0323) loss_lansim: 0.0700 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5674 data: 0.0025 max mem: 31671 Epoch: [38] [2320/5278] eta: 2:06:05 lr: 2.697682334419645e-06 loss: 0.0266 (0.0302) loss_seg: 0.0281 (0.0323) loss_lansim: 0.0700 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5553 data: 0.0025 max mem: 31671 Epoch: [38] [2330/5278] eta: 2:05:39 lr: 2.6947338686260893e-06 loss: 0.0276 (0.0302) loss_seg: 0.0295 (0.0323) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5585 data: 0.0025 max mem: 31671 Epoch: [38] [2340/5278] eta: 2:05:14 lr: 2.691785044334564e-06 loss: 0.0276 (0.0302) loss_seg: 0.0295 (0.0323) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5644 data: 0.0025 max mem: 31671 Epoch: [38] [2350/5278] eta: 2:04:48 lr: 2.6888358610650127e-06 loss: 0.0280 (0.0305) loss_seg: 0.0300 (0.0325) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5609 data: 0.0025 max mem: 31671 Epoch: [38] [2360/5278] eta: 2:04:23 lr: 2.6858863183361295e-06 loss: 0.0275 (0.0304) loss_seg: 0.0295 (0.0325) loss_lansim: 0.0703 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5540 data: 0.0026 max mem: 31671 Epoch: [38] [2370/5278] eta: 2:03:57 lr: 2.6829364156653954e-06 loss: 0.0280 (0.0304) loss_seg: 0.0298 (0.0325) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5534 data: 0.0025 max mem: 31671 Epoch: [38] [2380/5278] eta: 2:03:32 lr: 2.6799861525690472e-06 loss: 0.0280 (0.0305) loss_seg: 0.0302 (0.0325) loss_lansim: 0.0708 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5613 data: 0.0026 max mem: 31671 Epoch: [38] [2390/5278] eta: 2:03:08 lr: 2.677035528562086e-06 loss: 0.0287 (0.0305) loss_seg: 0.0307 (0.0325) loss_lansim: 0.0700 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5721 data: 0.0026 max mem: 31671 Epoch: [38] [2400/5278] eta: 2:02:42 lr: 2.674084543158244e-06 loss: 0.0280 (0.0305) loss_seg: 0.0305 (0.0325) loss_lansim: 0.0700 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5729 data: 0.0026 max mem: 31671 Epoch: [38] [2410/5278] eta: 2:02:18 lr: 2.671133195870022e-06 loss: 0.0280 (0.0305) loss_seg: 0.0300 (0.0325) loss_lansim: 0.0687 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5801 data: 0.0026 max mem: 31671 Epoch: [38] [2420/5278] eta: 2:01:53 lr: 2.6681814862086565e-06 loss: 0.0281 (0.0305) loss_seg: 0.0305 (0.0325) loss_lansim: 0.0682 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5894 data: 0.0026 max mem: 31671 Epoch: [38] [2430/5278] eta: 2:01:27 lr: 2.6652294136841305e-06 loss: 0.0285 (0.0305) loss_seg: 0.0307 (0.0325) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5835 data: 0.0026 max mem: 31671 Epoch: [38] [2440/5278] eta: 2:01:01 lr: 2.6622769778051384e-06 loss: 0.0286 (0.0305) loss_seg: 0.0308 (0.0325) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5842 data: 0.0026 max mem: 31671 Epoch: [38] [2450/5278] eta: 2:00:36 lr: 2.6593241780791242e-06 loss: 0.0280 (0.0304) loss_seg: 0.0297 (0.0325) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5906 data: 0.0026 max mem: 31671 Epoch: [38] [2460/5278] eta: 2:00:11 lr: 2.656371014012249e-06 loss: 0.0287 (0.0305) loss_seg: 0.0307 (0.0325) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5916 data: 0.0026 max mem: 31671 Epoch: [38] [2470/5278] eta: 1:59:46 lr: 2.653417485109399e-06 loss: 0.0291 (0.0305) loss_seg: 0.0308 (0.0325) loss_lansim: 0.0687 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6000 data: 0.0026 max mem: 31671 Epoch: [38] [2480/5278] eta: 1:59:21 lr: 2.6504635908741547e-06 loss: 0.0289 (0.0304) loss_seg: 0.0308 (0.0325) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5952 data: 0.0026 max mem: 31671 Epoch: [38] [2490/5278] eta: 1:58:56 lr: 2.647509330808825e-06 loss: 0.0281 (0.0304) loss_seg: 0.0293 (0.0325) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5961 data: 0.0026 max mem: 31671 Epoch: [38] [2500/5278] eta: 1:58:30 lr: 2.644554704414416e-06 loss: 0.0281 (0.0304) loss_seg: 0.0293 (0.0325) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5939 data: 0.0026 max mem: 31671 Epoch: [38] [2510/5278] eta: 1:58:04 lr: 2.641599711190641e-06 loss: 0.0266 (0.0304) loss_seg: 0.0281 (0.0325) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5788 data: 0.0026 max mem: 31671 Epoch: [38] [2520/5278] eta: 1:57:39 lr: 2.638644350635885e-06 loss: 0.0266 (0.0304) loss_seg: 0.0281 (0.0325) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5778 data: 0.0026 max mem: 31671 Epoch: [38] [2530/5278] eta: 1:57:13 lr: 2.635688622247244e-06 loss: 0.0266 (0.0305) loss_seg: 0.0284 (0.0326) loss_lansim: 0.0684 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5787 data: 0.0026 max mem: 31671 Epoch: [38] [2540/5278] eta: 1:56:47 lr: 2.632732525520489e-06 loss: 0.0266 (0.0305) loss_seg: 0.0284 (0.0326) loss_lansim: 0.0684 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5688 data: 0.0026 max mem: 31671 Epoch: [38] [2550/5278] eta: 1:56:24 lr: 2.629776059950073e-06 loss: 0.0266 (0.0305) loss_seg: 0.0286 (0.0326) loss_lansim: 0.0684 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5922 data: 0.0026 max mem: 31671 Epoch: [38] [2560/5278] eta: 1:55:59 lr: 2.6268192250291267e-06 loss: 0.0261 (0.0305) loss_seg: 0.0280 (0.0326) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [38] [2570/5278] eta: 1:55:34 lr: 2.6238620202494295e-06 loss: 0.0256 (0.0305) loss_seg: 0.0276 (0.0325) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5986 data: 0.0026 max mem: 31671 Epoch: [38] [2580/5278] eta: 1:55:08 lr: 2.6209044451014454e-06 loss: 0.0258 (0.0305) loss_seg: 0.0277 (0.0325) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5949 data: 0.0026 max mem: 31671 Epoch: [38] [2590/5278] eta: 1:54:43 lr: 2.6179464990742896e-06 loss: 0.0260 (0.0305) loss_seg: 0.0280 (0.0325) loss_lansim: 0.0680 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5891 data: 0.0026 max mem: 31671 Epoch: [38] [2600/5278] eta: 1:54:17 lr: 2.614988181655736e-06 loss: 0.0266 (0.0305) loss_seg: 0.0288 (0.0326) loss_lansim: 0.0679 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5872 data: 0.0026 max mem: 31671 Epoch: [38] [2610/5278] eta: 1:53:51 lr: 2.612029492332187e-06 loss: 0.0282 (0.0305) loss_seg: 0.0301 (0.0326) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5925 data: 0.0026 max mem: 31671 Epoch: [38] [2620/5278] eta: 1:53:26 lr: 2.6090704305887068e-06 loss: 0.0285 (0.0305) loss_seg: 0.0303 (0.0326) loss_lansim: 0.0686 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5888 data: 0.0025 max mem: 31671 Epoch: [38] [2630/5278] eta: 1:53:01 lr: 2.6061109959089914e-06 loss: 0.0281 (0.0305) loss_seg: 0.0303 (0.0326) loss_lansim: 0.0687 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5957 data: 0.0025 max mem: 31671 Epoch: [38] [2640/5278] eta: 1:52:35 lr: 2.6031511877753735e-06 loss: 0.0281 (0.0305) loss_seg: 0.0301 (0.0326) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.6063 data: 0.0026 max mem: 31671 Epoch: [38] [2650/5278] eta: 1:52:10 lr: 2.6001910056687935e-06 loss: 0.0274 (0.0305) loss_seg: 0.0299 (0.0326) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5782 data: 0.0025 max mem: 31671 Epoch: [38] [2660/5278] eta: 1:51:44 lr: 2.5972304490688326e-06 loss: 0.0281 (0.0305) loss_seg: 0.0307 (0.0326) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5710 data: 0.0025 max mem: 31671 Epoch: [38] [2670/5278] eta: 1:51:19 lr: 2.5942695174536803e-06 loss: 0.0292 (0.0305) loss_seg: 0.0310 (0.0326) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5694 data: 0.0025 max mem: 31671 Epoch: [38] [2680/5278] eta: 1:50:54 lr: 2.591308210300144e-06 loss: 0.0285 (0.0305) loss_seg: 0.0309 (0.0326) loss_lansim: 0.0687 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5816 data: 0.0025 max mem: 31671 Epoch: [38] [2690/5278] eta: 1:50:29 lr: 2.588346527083614e-06 loss: 0.0286 (0.0305) loss_seg: 0.0309 (0.0326) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5810 data: 0.0026 max mem: 31671 Epoch: [38] [2700/5278] eta: 1:50:04 lr: 2.585384467278102e-06 loss: 0.0273 (0.0305) loss_seg: 0.0299 (0.0325) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5892 data: 0.0026 max mem: 31671 Epoch: [38] [2710/5278] eta: 1:49:38 lr: 2.582422030356206e-06 loss: 0.0272 (0.0304) loss_seg: 0.0297 (0.0325) loss_lansim: 0.0685 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5919 data: 0.0026 max mem: 31671 Epoch: [38] [2720/5278] eta: 1:49:12 lr: 2.5794592157891175e-06 loss: 0.0271 (0.0304) loss_seg: 0.0291 (0.0325) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5898 data: 0.0026 max mem: 31671 Epoch: [38] [2730/5278] eta: 1:48:47 lr: 2.5764960230465926e-06 loss: 0.0272 (0.0305) loss_seg: 0.0297 (0.0325) loss_lansim: 0.0687 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5898 data: 0.0027 max mem: 31671 Epoch: [38] [2740/5278] eta: 1:48:22 lr: 2.5735324515969826e-06 loss: 0.0271 (0.0304) loss_seg: 0.0291 (0.0325) loss_lansim: 0.0687 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5934 data: 0.0026 max mem: 31671 Epoch: [38] [2750/5278] eta: 1:47:57 lr: 2.570568500907204e-06 loss: 0.0277 (0.0305) loss_seg: 0.0298 (0.0325) loss_lansim: 0.0687 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5950 data: 0.0026 max mem: 31671 Epoch: [38] [2760/5278] eta: 1:47:31 lr: 2.567604170442747e-06 loss: 0.0266 (0.0304) loss_seg: 0.0287 (0.0325) loss_lansim: 0.0688 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5980 data: 0.0026 max mem: 31671 Epoch: [38] [2770/5278] eta: 1:47:06 lr: 2.5646394596676386e-06 loss: 0.0266 (0.0305) loss_seg: 0.0286 (0.0325) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5897 data: 0.0026 max mem: 31671 Epoch: [38] [2780/5278] eta: 1:46:40 lr: 2.561674368044483e-06 loss: 0.0269 (0.0304) loss_seg: 0.0286 (0.0325) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5788 data: 0.0026 max mem: 31671 Epoch: [38] [2790/5278] eta: 1:46:15 lr: 2.5587088950344238e-06 loss: 0.0269 (0.0304) loss_seg: 0.0285 (0.0325) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5825 data: 0.0026 max mem: 31671 Epoch: [38] [2800/5278] eta: 1:45:49 lr: 2.555743040097149e-06 loss: 0.0274 (0.0304) loss_seg: 0.0286 (0.0325) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5825 data: 0.0026 max mem: 31671 Epoch: [38] [2810/5278] eta: 1:45:24 lr: 2.5527768026908895e-06 loss: 0.0269 (0.0304) loss_seg: 0.0282 (0.0325) loss_lansim: 0.0695 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5830 data: 0.0026 max mem: 31671 Epoch: [38] [2820/5278] eta: 1:44:58 lr: 2.5498101822723863e-06 loss: 0.0266 (0.0304) loss_seg: 0.0277 (0.0325) loss_lansim: 0.0701 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5805 data: 0.0026 max mem: 31671 Epoch: [38] [2830/5278] eta: 1:44:33 lr: 2.546843178296926e-06 loss: 0.0262 (0.0304) loss_seg: 0.0275 (0.0324) loss_lansim: 0.0690 (0.0699) loss_contra: 0.0000 (0.0014) time: 2.5824 data: 0.0026 max mem: 31671 Epoch: [38] [2840/5278] eta: 1:44:08 lr: 2.5438757902183087e-06 loss: 0.0256 (0.0304) loss_seg: 0.0272 (0.0324) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5791 data: 0.0026 max mem: 31671 Epoch: [38] [2850/5278] eta: 1:43:42 lr: 2.540908017488853e-06 loss: 0.0256 (0.0303) loss_seg: 0.0267 (0.0324) loss_lansim: 0.0695 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5743 data: 0.0026 max mem: 31671 Epoch: [38] [2860/5278] eta: 1:43:16 lr: 2.5379398595593638e-06 loss: 0.0249 (0.0303) loss_seg: 0.0259 (0.0324) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5727 data: 0.0026 max mem: 31671 Epoch: [38] [2870/5278] eta: 1:42:51 lr: 2.5349713158791695e-06 loss: 0.0249 (0.0303) loss_seg: 0.0256 (0.0324) loss_lansim: 0.0690 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5836 data: 0.0025 max mem: 31671 Epoch: [38] [2880/5278] eta: 1:42:25 lr: 2.532002385896085e-06 loss: 0.0237 (0.0303) loss_seg: 0.0250 (0.0323) loss_lansim: 0.0687 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5781 data: 0.0025 max mem: 31671 Epoch: [38] [2890/5278] eta: 1:42:00 lr: 2.5290330690564232e-06 loss: 0.0235 (0.0303) loss_seg: 0.0253 (0.0323) loss_lansim: 0.0690 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5781 data: 0.0025 max mem: 31671 Epoch: [38] [2900/5278] eta: 1:41:33 lr: 2.526063364804957e-06 loss: 0.0240 (0.0303) loss_seg: 0.0253 (0.0323) loss_lansim: 0.0687 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5657 data: 0.0026 max mem: 31671 Epoch: [38] [2910/5278] eta: 1:41:08 lr: 2.523093272584958e-06 loss: 0.0256 (0.0303) loss_seg: 0.0259 (0.0323) loss_lansim: 0.0697 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5653 data: 0.0025 max mem: 31671 Epoch: [38] [2920/5278] eta: 1:40:42 lr: 2.5201227918381616e-06 loss: 0.0261 (0.0303) loss_seg: 0.0263 (0.0323) loss_lansim: 0.0683 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5716 data: 0.0025 max mem: 31671 Epoch: [38] [2930/5278] eta: 1:40:17 lr: 2.5171519220047736e-06 loss: 0.0265 (0.0303) loss_seg: 0.0279 (0.0323) loss_lansim: 0.0690 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.5640 data: 0.0025 max mem: 31671 Epoch: [38] [2940/5278] eta: 1:39:52 lr: 2.514180662523438e-06 loss: 0.0269 (0.0303) loss_seg: 0.0285 (0.0323) loss_lansim: 0.0681 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5667 data: 0.0025 max mem: 31671 Epoch: [38] [2950/5278] eta: 1:39:26 lr: 2.511209012831271e-06 loss: 0.0265 (0.0303) loss_seg: 0.0285 (0.0323) loss_lansim: 0.0679 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5762 data: 0.0026 max mem: 31671 Epoch: [38] [2960/5278] eta: 1:39:01 lr: 2.508236972363828e-06 loss: 0.0266 (0.0302) loss_seg: 0.0287 (0.0323) loss_lansim: 0.0675 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5763 data: 0.0026 max mem: 31671 Epoch: [38] [2970/5278] eta: 1:38:34 lr: 2.5052645405551103e-06 loss: 0.0268 (0.0302) loss_seg: 0.0291 (0.0323) loss_lansim: 0.0679 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5578 data: 0.0026 max mem: 31671 Epoch: [38] [2980/5278] eta: 1:38:09 lr: 2.502291716837531e-06 loss: 0.0272 (0.0303) loss_seg: 0.0295 (0.0324) loss_lansim: 0.0675 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5633 data: 0.0026 max mem: 31671 Epoch: [38] [2990/5278] eta: 1:37:43 lr: 2.4993185006419503e-06 loss: 0.0269 (0.0303) loss_seg: 0.0294 (0.0323) loss_lansim: 0.0675 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5607 data: 0.0026 max mem: 31671 Epoch: [38] [3000/5278] eta: 1:37:19 lr: 2.4963448913976418e-06 loss: 0.0274 (0.0303) loss_seg: 0.0294 (0.0324) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5840 data: 0.0026 max mem: 31671 Epoch: [38] [3010/5278] eta: 1:36:53 lr: 2.4933708885323e-06 loss: 0.0269 (0.0303) loss_seg: 0.0287 (0.0323) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5766 data: 0.0026 max mem: 31671 Epoch: [38] [3020/5278] eta: 1:36:28 lr: 2.4903964914720044e-06 loss: 0.0269 (0.0303) loss_seg: 0.0287 (0.0323) loss_lansim: 0.0679 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5829 data: 0.0026 max mem: 31671 Epoch: [38] [3030/5278] eta: 1:36:01 lr: 2.4874216996412566e-06 loss: 0.0263 (0.0303) loss_seg: 0.0287 (0.0323) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5775 data: 0.0026 max mem: 31671 Epoch: [38] [3040/5278] eta: 1:35:36 lr: 2.4844465124629446e-06 loss: 0.0263 (0.0303) loss_seg: 0.0287 (0.0323) loss_lansim: 0.0686 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5729 data: 0.0026 max mem: 31671 Epoch: [38] [3050/5278] eta: 1:35:11 lr: 2.4814709293583443e-06 loss: 0.0263 (0.0302) loss_seg: 0.0286 (0.0323) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5739 data: 0.0026 max mem: 31671 Epoch: [38] [3060/5278] eta: 1:34:46 lr: 2.4784949497471176e-06 loss: 0.0267 (0.0302) loss_seg: 0.0286 (0.0323) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5836 data: 0.0026 max mem: 31671 Epoch: [38] [3070/5278] eta: 1:34:21 lr: 2.4755185730472816e-06 loss: 0.0260 (0.0302) loss_seg: 0.0284 (0.0323) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6012 data: 0.0026 max mem: 31671 Epoch: [38] [3080/5278] eta: 1:33:57 lr: 2.4725417986752397e-06 loss: 0.0261 (0.0302) loss_seg: 0.0276 (0.0323) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6232 data: 0.0026 max mem: 31671 Epoch: [38] [3090/5278] eta: 1:33:31 lr: 2.469564626045749e-06 loss: 0.0268 (0.0302) loss_seg: 0.0284 (0.0323) loss_lansim: 0.0680 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6182 data: 0.0026 max mem: 31671 Epoch: [38] [3100/5278] eta: 1:33:06 lr: 2.4665870545719273e-06 loss: 0.0268 (0.0302) loss_seg: 0.0276 (0.0323) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6122 data: 0.0026 max mem: 31671 Epoch: [38] [3110/5278] eta: 1:32:41 lr: 2.463609083665218e-06 loss: 0.0271 (0.0302) loss_seg: 0.0284 (0.0323) loss_lansim: 0.0677 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6300 data: 0.0027 max mem: 31671 Epoch: [38] [3120/5278] eta: 1:32:15 lr: 2.460630712735426e-06 loss: 0.0273 (0.0302) loss_seg: 0.0288 (0.0323) loss_lansim: 0.0675 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6238 data: 0.0027 max mem: 31671 Epoch: [38] [3130/5278] eta: 1:31:50 lr: 2.457651941190681e-06 loss: 0.0276 (0.0302) loss_seg: 0.0298 (0.0323) loss_lansim: 0.0692 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6270 data: 0.0026 max mem: 31671 Epoch: [38] [3140/5278] eta: 1:31:24 lr: 2.454672768437446e-06 loss: 0.0276 (0.0302) loss_seg: 0.0299 (0.0323) loss_lansim: 0.0694 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6283 data: 0.0026 max mem: 31671 Epoch: [38] [3150/5278] eta: 1:30:58 lr: 2.451693193880482e-06 loss: 0.0280 (0.0302) loss_seg: 0.0301 (0.0323) loss_lansim: 0.0695 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6157 data: 0.0026 max mem: 31671 Epoch: [38] [3160/5278] eta: 1:30:32 lr: 2.4487132169228827e-06 loss: 0.0276 (0.0302) loss_seg: 0.0296 (0.0323) loss_lansim: 0.0695 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6051 data: 0.0026 max mem: 31671 Epoch: [38] [3170/5278] eta: 1:30:08 lr: 2.445732836966039e-06 loss: 0.0281 (0.0302) loss_seg: 0.0301 (0.0323) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6089 data: 0.0026 max mem: 31671 Epoch: [38] [3180/5278] eta: 1:29:42 lr: 2.442752053409649e-06 loss: 0.0286 (0.0302) loss_seg: 0.0303 (0.0323) loss_lansim: 0.0694 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5948 data: 0.0026 max mem: 31671 Epoch: [38] [3190/5278] eta: 1:29:16 lr: 2.4397708656516775e-06 loss: 0.0281 (0.0302) loss_seg: 0.0303 (0.0323) loss_lansim: 0.0695 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5955 data: 0.0026 max mem: 31671 Epoch: [38] [3200/5278] eta: 1:28:52 lr: 2.4367892730883943e-06 loss: 0.0292 (0.0302) loss_seg: 0.0311 (0.0323) loss_lansim: 0.0691 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.6002 data: 0.0026 max mem: 31671 Epoch: [38] [3210/5278] eta: 1:28:26 lr: 2.4338072751143394e-06 loss: 0.0278 (0.0302) loss_seg: 0.0303 (0.0322) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5860 data: 0.0026 max mem: 31671 Epoch: [38] [3220/5278] eta: 1:28:00 lr: 2.430824871122327e-06 loss: 0.0284 (0.0302) loss_seg: 0.0303 (0.0322) loss_lansim: 0.0693 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5845 data: 0.0026 max mem: 31671 Epoch: [38] [3230/5278] eta: 1:27:34 lr: 2.4278420605034132e-06 loss: 0.0284 (0.0302) loss_seg: 0.0299 (0.0323) loss_lansim: 0.0689 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5847 data: 0.0026 max mem: 31671 Epoch: [38] [3240/5278] eta: 1:27:09 lr: 2.424858842646929e-06 loss: 0.0284 (0.0302) loss_seg: 0.0300 (0.0323) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5876 data: 0.0026 max mem: 31671 Epoch: [38] [3250/5278] eta: 1:26:44 lr: 2.421875216940444e-06 loss: 0.0278 (0.0302) loss_seg: 0.0297 (0.0322) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5972 data: 0.0027 max mem: 31671 Epoch: [38] [3260/5278] eta: 1:26:18 lr: 2.4188911827697757e-06 loss: 0.0287 (0.0302) loss_seg: 0.0304 (0.0322) loss_lansim: 0.0684 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5987 data: 0.0027 max mem: 31671 Epoch: [38] [3270/5278] eta: 1:25:52 lr: 2.4159067395189513e-06 loss: 0.0283 (0.0302) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0686 (0.0699) loss_contra: 0.0000 (0.0013) time: 2.5896 data: 0.0027 max mem: 31671 Epoch: [38] [3280/5278] eta: 1:25:26 lr: 2.412921886570244e-06 loss: 0.0283 (0.0302) loss_seg: 0.0297 (0.0322) loss_lansim: 0.0695 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5779 data: 0.0027 max mem: 31671 Epoch: [38] [3290/5278] eta: 1:25:01 lr: 2.4099366233041356e-06 loss: 0.0279 (0.0302) loss_seg: 0.0297 (0.0322) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5848 data: 0.0027 max mem: 31671 Epoch: [38] [3300/5278] eta: 1:24:35 lr: 2.4069509490993183e-06 loss: 0.0272 (0.0302) loss_seg: 0.0290 (0.0322) loss_lansim: 0.0696 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5667 data: 0.0027 max mem: 31671 Epoch: [38] [3310/5278] eta: 1:24:10 lr: 2.403964863332692e-06 loss: 0.0272 (0.0301) loss_seg: 0.0290 (0.0322) loss_lansim: 0.0696 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5717 data: 0.0027 max mem: 31671 Epoch: [38] [3320/5278] eta: 1:23:44 lr: 2.4009783653793303e-06 loss: 0.0272 (0.0302) loss_seg: 0.0295 (0.0322) loss_lansim: 0.0702 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5762 data: 0.0026 max mem: 31671 Epoch: [38] [3330/5278] eta: 1:23:19 lr: 2.397991454612512e-06 loss: 0.0268 (0.0302) loss_seg: 0.0289 (0.0322) loss_lansim: 0.0707 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5924 data: 0.0026 max mem: 31671 Epoch: [38] [3340/5278] eta: 1:22:55 lr: 2.3950041304036894e-06 loss: 0.0272 (0.0302) loss_seg: 0.0291 (0.0322) loss_lansim: 0.0709 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6064 data: 0.0026 max mem: 31671 Epoch: [38] [3350/5278] eta: 1:22:29 lr: 2.3920163921224906e-06 loss: 0.0267 (0.0301) loss_seg: 0.0290 (0.0322) loss_lansim: 0.0726 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6020 data: 0.0026 max mem: 31671 Epoch: [38] [3360/5278] eta: 1:22:03 lr: 2.3890282391366857e-06 loss: 0.0263 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0724 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5954 data: 0.0025 max mem: 31671 Epoch: [38] [3370/5278] eta: 1:21:39 lr: 2.3860396708122205e-06 loss: 0.0264 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0724 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6133 data: 0.0026 max mem: 31671 Epoch: [38] [3380/5278] eta: 1:21:13 lr: 2.38305068651318e-06 loss: 0.0263 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0706 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6219 data: 0.0026 max mem: 31671 Epoch: [38] [3390/5278] eta: 1:20:48 lr: 2.3800612856017965e-06 loss: 0.0263 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0704 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6274 data: 0.0025 max mem: 31671 Epoch: [38] [3400/5278] eta: 1:20:23 lr: 2.37707146743841e-06 loss: 0.0267 (0.0302) loss_seg: 0.0292 (0.0322) loss_lansim: 0.0704 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6391 data: 0.0025 max mem: 31671 Epoch: [38] [3410/5278] eta: 1:19:57 lr: 2.374081231381504e-06 loss: 0.0272 (0.0302) loss_seg: 0.0292 (0.0322) loss_lansim: 0.0699 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6392 data: 0.0026 max mem: 31671 Epoch: [38] [3420/5278] eta: 1:19:31 lr: 2.3710905767876714e-06 loss: 0.0266 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0699 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6312 data: 0.0026 max mem: 31671 Epoch: [38] [3430/5278] eta: 1:19:05 lr: 2.3680995030116156e-06 loss: 0.0272 (0.0301) loss_seg: 0.0290 (0.0322) loss_lansim: 0.0687 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6163 data: 0.0026 max mem: 31671 Epoch: [38] [3440/5278] eta: 1:18:40 lr: 2.365108009406119e-06 loss: 0.0263 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0691 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.6002 data: 0.0025 max mem: 31671 Epoch: [38] [3450/5278] eta: 1:18:14 lr: 2.3621160953220744e-06 loss: 0.0267 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5977 data: 0.0025 max mem: 31671 Epoch: [38] [3460/5278] eta: 1:17:48 lr: 2.359123760108447e-06 loss: 0.0281 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6004 data: 0.0026 max mem: 31671 Epoch: [38] [3470/5278] eta: 1:17:22 lr: 2.3561310031122836e-06 loss: 0.0283 (0.0301) loss_seg: 0.0300 (0.0322) loss_lansim: 0.0684 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5682 data: 0.0025 max mem: 31671 Epoch: [38] [3480/5278] eta: 1:16:56 lr: 2.353137823678675e-06 loss: 0.0283 (0.0302) loss_seg: 0.0308 (0.0322) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5725 data: 0.0025 max mem: 31671 Epoch: [38] [3490/5278] eta: 1:16:31 lr: 2.3501442211507875e-06 loss: 0.0283 (0.0302) loss_seg: 0.0308 (0.0322) loss_lansim: 0.0683 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5631 data: 0.0026 max mem: 31671 Epoch: [38] [3500/5278] eta: 1:16:05 lr: 2.347150194869829e-06 loss: 0.0283 (0.0302) loss_seg: 0.0304 (0.0322) loss_lansim: 0.0683 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5563 data: 0.0025 max mem: 31671 Epoch: [38] [3510/5278] eta: 1:15:39 lr: 2.3441557441750515e-06 loss: 0.0288 (0.0302) loss_seg: 0.0311 (0.0322) loss_lansim: 0.0684 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5491 data: 0.0025 max mem: 31671 Epoch: [38] [3520/5278] eta: 1:15:14 lr: 2.3411608684037193e-06 loss: 0.0283 (0.0302) loss_seg: 0.0308 (0.0322) loss_lansim: 0.0683 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5577 data: 0.0025 max mem: 31671 Epoch: [38] [3530/5278] eta: 1:14:48 lr: 2.3381655668911364e-06 loss: 0.0285 (0.0302) loss_seg: 0.0311 (0.0322) loss_lansim: 0.0683 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5506 data: 0.0025 max mem: 31671 Epoch: [38] [3540/5278] eta: 1:14:22 lr: 2.335169838970615e-06 loss: 0.0304 (0.0302) loss_seg: 0.0321 (0.0323) loss_lansim: 0.0680 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5420 data: 0.0025 max mem: 31671 Epoch: [38] [3550/5278] eta: 1:13:56 lr: 2.3321736839734685e-06 loss: 0.0305 (0.0302) loss_seg: 0.0333 (0.0323) loss_lansim: 0.0678 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5508 data: 0.0025 max mem: 31671 Epoch: [38] [3560/5278] eta: 1:13:31 lr: 2.329177101229015e-06 loss: 0.0305 (0.0302) loss_seg: 0.0333 (0.0322) loss_lansim: 0.0678 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5600 data: 0.0025 max mem: 31671 Epoch: [38] [3570/5278] eta: 1:13:06 lr: 2.326180090064538e-06 loss: 0.0304 (0.0302) loss_seg: 0.0328 (0.0323) loss_lansim: 0.0680 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5845 data: 0.0025 max mem: 31671 Epoch: [38] [3580/5278] eta: 1:12:40 lr: 2.323182649805317e-06 loss: 0.0303 (0.0302) loss_seg: 0.0319 (0.0322) loss_lansim: 0.0674 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5799 data: 0.0025 max mem: 31671 Epoch: [38] [3590/5278] eta: 1:12:15 lr: 2.3201847797745953e-06 loss: 0.0292 (0.0302) loss_seg: 0.0312 (0.0322) loss_lansim: 0.0674 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5822 data: 0.0025 max mem: 31671 Epoch: [38] [3600/5278] eta: 1:11:49 lr: 2.317186479293582e-06 loss: 0.0292 (0.0302) loss_seg: 0.0316 (0.0323) loss_lansim: 0.0680 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5822 data: 0.0025 max mem: 31671 Epoch: [38] [3610/5278] eta: 1:11:24 lr: 2.3141877476814142e-06 loss: 0.0289 (0.0302) loss_seg: 0.0312 (0.0322) loss_lansim: 0.0681 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5982 data: 0.0026 max mem: 31671 Epoch: [38] [3620/5278] eta: 1:10:58 lr: 2.3111885842551933e-06 loss: 0.0300 (0.0302) loss_seg: 0.0317 (0.0322) loss_lansim: 0.0686 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.5949 data: 0.0026 max mem: 31671 Epoch: [38] [3630/5278] eta: 1:10:32 lr: 2.308188988329944e-06 loss: 0.0296 (0.0302) loss_seg: 0.0314 (0.0323) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6014 data: 0.0026 max mem: 31671 Epoch: [38] [3640/5278] eta: 1:10:07 lr: 2.305188959218621e-06 loss: 0.0288 (0.0302) loss_seg: 0.0311 (0.0323) loss_lansim: 0.0696 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6026 data: 0.0026 max mem: 31671 Epoch: [38] [3650/5278] eta: 1:09:41 lr: 2.3021884962320717e-06 loss: 0.0288 (0.0302) loss_seg: 0.0311 (0.0322) loss_lansim: 0.0696 (0.0700) loss_contra: 0.0000 (0.0013) time: 2.6056 data: 0.0026 max mem: 31671 Epoch: [38] [3660/5278] eta: 1:09:15 lr: 2.2991875986790685e-06 loss: 0.0289 (0.0302) loss_seg: 0.0312 (0.0322) loss_lansim: 0.0696 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.5966 data: 0.0026 max mem: 31671 Epoch: [38] [3670/5278] eta: 1:08:50 lr: 2.2961862658662705e-06 loss: 0.0288 (0.0302) loss_seg: 0.0311 (0.0323) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.5875 data: 0.0026 max mem: 31671 Epoch: [38] [3680/5278] eta: 1:08:25 lr: 2.2931844970982303e-06 loss: 0.0289 (0.0302) loss_seg: 0.0313 (0.0323) loss_lansim: 0.0694 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.5959 data: 0.0026 max mem: 31671 Epoch: [38] [3690/5278] eta: 1:08:00 lr: 2.2901822916773535e-06 loss: 0.0289 (0.0302) loss_seg: 0.0313 (0.0323) loss_lansim: 0.0696 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6119 data: 0.0026 max mem: 31671 Epoch: [38] [3700/5278] eta: 1:07:34 lr: 2.2871796489039343e-06 loss: 0.0285 (0.0302) loss_seg: 0.0305 (0.0323) loss_lansim: 0.0697 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6090 data: 0.0026 max mem: 31671 Epoch: [38] [3710/5278] eta: 1:07:09 lr: 2.2841765680761146e-06 loss: 0.0280 (0.0302) loss_seg: 0.0296 (0.0322) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6068 data: 0.0025 max mem: 31671 Epoch: [38] [3720/5278] eta: 1:06:44 lr: 2.2811730484898907e-06 loss: 0.0276 (0.0302) loss_seg: 0.0293 (0.0322) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6250 data: 0.0025 max mem: 31671 Epoch: [38] [3730/5278] eta: 1:06:19 lr: 2.2781690894390753e-06 loss: 0.0269 (0.0302) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0685 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6481 data: 0.0026 max mem: 31671 Epoch: [38] [3740/5278] eta: 1:05:53 lr: 2.275164690215328e-06 loss: 0.0269 (0.0302) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6521 data: 0.0026 max mem: 31671 Epoch: [38] [3750/5278] eta: 1:05:28 lr: 2.2721598501081185e-06 loss: 0.0267 (0.0302) loss_seg: 0.0287 (0.0322) loss_lansim: 0.0693 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6478 data: 0.0026 max mem: 31671 Epoch: [38] [3760/5278] eta: 1:05:02 lr: 2.269154568404731e-06 loss: 0.0263 (0.0302) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0689 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6633 data: 0.0026 max mem: 31671 Epoch: [38] [3770/5278] eta: 1:04:37 lr: 2.2661488443902276e-06 loss: 0.0262 (0.0302) loss_seg: 0.0284 (0.0322) loss_lansim: 0.0694 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6642 data: 0.0026 max mem: 31671 Epoch: [38] [3780/5278] eta: 1:04:12 lr: 2.263142677347475e-06 loss: 0.0261 (0.0302) loss_seg: 0.0284 (0.0322) loss_lansim: 0.0695 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6719 data: 0.0027 max mem: 31671 Epoch: [38] [3790/5278] eta: 1:03:46 lr: 2.260136066557113e-06 loss: 0.0263 (0.0302) loss_seg: 0.0284 (0.0322) loss_lansim: 0.0697 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6611 data: 0.0027 max mem: 31671 Epoch: [38] [3800/5278] eta: 1:03:21 lr: 2.2571290112975456e-06 loss: 0.0262 (0.0302) loss_seg: 0.0284 (0.0322) loss_lansim: 0.0697 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6611 data: 0.0027 max mem: 31671 Epoch: [38] [3810/5278] eta: 1:02:55 lr: 2.254121510844943e-06 loss: 0.0270 (0.0302) loss_seg: 0.0290 (0.0322) loss_lansim: 0.0701 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6691 data: 0.0028 max mem: 31671 Epoch: [38] [3820/5278] eta: 1:02:31 lr: 2.2511135644731988e-06 loss: 0.0263 (0.0302) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0702 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6740 data: 0.0028 max mem: 31671 Epoch: [38] [3830/5278] eta: 1:02:06 lr: 2.248105171453963e-06 loss: 0.0262 (0.0302) loss_seg: 0.0284 (0.0322) loss_lansim: 0.0698 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.6899 data: 0.0028 max mem: 31671 Epoch: [38] [3840/5278] eta: 1:01:42 lr: 2.2450963310566066e-06 loss: 0.0262 (0.0302) loss_seg: 0.0284 (0.0322) loss_lansim: 0.0690 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.7243 data: 0.0028 max mem: 31671 Epoch: [38] [3850/5278] eta: 1:01:17 lr: 2.24208704254822e-06 loss: 0.0266 (0.0301) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.7548 data: 0.0028 max mem: 31671 Epoch: [38] [3860/5278] eta: 1:00:53 lr: 2.2390773051935767e-06 loss: 0.0272 (0.0301) loss_seg: 0.0289 (0.0322) loss_lansim: 0.0698 (0.0700) loss_contra: 0.0000 (0.0015) time: 2.7771 data: 0.0028 max mem: 31671 Epoch: [38] [3870/5278] eta: 1:00:29 lr: 2.236067118255168e-06 loss: 0.0273 (0.0301) loss_seg: 0.0289 (0.0322) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.8190 data: 0.0029 max mem: 31671 Epoch: [38] [3880/5278] eta: 1:00:04 lr: 2.233056480993158e-06 loss: 0.0273 (0.0301) loss_seg: 0.0289 (0.0322) loss_lansim: 0.0692 (0.0700) loss_contra: 0.0000 (0.0014) time: 2.8269 data: 0.0029 max mem: 31671 Epoch: [38] [3890/5278] eta: 0:59:39 lr: 2.2300453926653907e-06 loss: 0.0272 (0.0301) loss_seg: 0.0281 (0.0322) loss_lansim: 0.0695 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8391 data: 0.0029 max mem: 31671 Epoch: [38] [3900/5278] eta: 0:59:14 lr: 2.227033852527353e-06 loss: 0.0273 (0.0301) loss_seg: 0.0289 (0.0322) loss_lansim: 0.0695 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8663 data: 0.0029 max mem: 31671 Epoch: [38] [3910/5278] eta: 0:58:49 lr: 2.2240218598321993e-06 loss: 0.0272 (0.0302) loss_seg: 0.0287 (0.0322) loss_lansim: 0.0690 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8763 data: 0.0029 max mem: 31671 Epoch: [38] [3920/5278] eta: 0:58:24 lr: 2.2210094138307197e-06 loss: 0.0282 (0.0302) loss_seg: 0.0296 (0.0322) loss_lansim: 0.0695 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8734 data: 0.0030 max mem: 31671 Epoch: [38] [3930/5278] eta: 0:57:59 lr: 2.217996513771339e-06 loss: 0.0282 (0.0302) loss_seg: 0.0297 (0.0322) loss_lansim: 0.0702 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8689 data: 0.0030 max mem: 31671 Epoch: [38] [3940/5278] eta: 0:57:35 lr: 2.2149831589000776e-06 loss: 0.0284 (0.0302) loss_seg: 0.0297 (0.0322) loss_lansim: 0.0709 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8751 data: 0.0029 max mem: 31671 Epoch: [38] [3950/5278] eta: 0:57:10 lr: 2.2119693484605847e-06 loss: 0.0282 (0.0302) loss_seg: 0.0301 (0.0322) loss_lansim: 0.0708 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8710 data: 0.0030 max mem: 31671 Epoch: [38] [3960/5278] eta: 0:56:45 lr: 2.2089550816940956e-06 loss: 0.0279 (0.0301) loss_seg: 0.0302 (0.0322) loss_lansim: 0.0702 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8794 data: 0.0029 max mem: 31671 Epoch: [38] [3970/5278] eta: 0:56:20 lr: 2.205940357839438e-06 loss: 0.0278 (0.0302) loss_seg: 0.0300 (0.0322) loss_lansim: 0.0709 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8578 data: 0.0029 max mem: 31671 Epoch: [38] [3980/5278] eta: 0:55:56 lr: 2.2029251761329905e-06 loss: 0.0275 (0.0302) loss_seg: 0.0298 (0.0322) loss_lansim: 0.0706 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8773 data: 0.0029 max mem: 31671 Epoch: [38] [3990/5278] eta: 0:55:33 lr: 2.1999095358087135e-06 loss: 0.0278 (0.0302) loss_seg: 0.0302 (0.0322) loss_lansim: 0.0706 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9413 data: 0.0029 max mem: 31671 Epoch: [38] [4000/5278] eta: 0:55:08 lr: 2.1968934360981093e-06 loss: 0.0275 (0.0301) loss_seg: 0.0300 (0.0322) loss_lansim: 0.0700 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9474 data: 0.0029 max mem: 31671 Epoch: [38] [4010/5278] eta: 0:54:43 lr: 2.193876876230226e-06 loss: 0.0278 (0.0302) loss_seg: 0.0302 (0.0322) loss_lansim: 0.0699 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9481 data: 0.0029 max mem: 31671 Epoch: [38] [4020/5278] eta: 0:54:18 lr: 2.1908598554316156e-06 loss: 0.0276 (0.0301) loss_seg: 0.0300 (0.0322) loss_lansim: 0.0696 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9599 data: 0.0028 max mem: 31671 Epoch: [38] [4030/5278] eta: 0:53:52 lr: 2.1878423729263673e-06 loss: 0.0275 (0.0301) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0700 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9540 data: 0.0028 max mem: 31671 Epoch: [38] [4040/5278] eta: 0:53:27 lr: 2.1848244279360638e-06 loss: 0.0273 (0.0301) loss_seg: 0.0293 (0.0321) loss_lansim: 0.0706 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9429 data: 0.0028 max mem: 31671 Epoch: [38] [4050/5278] eta: 0:53:02 lr: 2.1818060196797803e-06 loss: 0.0273 (0.0301) loss_seg: 0.0293 (0.0322) loss_lansim: 0.0706 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9464 data: 0.0028 max mem: 31671 Epoch: [38] [4060/5278] eta: 0:52:37 lr: 2.1787871473740767e-06 loss: 0.0271 (0.0301) loss_seg: 0.0290 (0.0321) loss_lansim: 0.0711 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9382 data: 0.0028 max mem: 31671 Epoch: [38] [4070/5278] eta: 0:52:12 lr: 2.1757678102329585e-06 loss: 0.0274 (0.0301) loss_seg: 0.0300 (0.0322) loss_lansim: 0.0699 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9414 data: 0.0028 max mem: 31671 Epoch: [38] [4080/5278] eta: 0:51:47 lr: 2.172748007467908e-06 loss: 0.0273 (0.0301) loss_seg: 0.0297 (0.0322) loss_lansim: 0.0699 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9272 data: 0.0027 max mem: 31671 Epoch: [38] [4090/5278] eta: 0:51:22 lr: 2.1697277382878415e-06 loss: 0.0271 (0.0301) loss_seg: 0.0293 (0.0322) loss_lansim: 0.0702 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8669 data: 0.0027 max mem: 31671 Epoch: [38] [4100/5278] eta: 0:50:57 lr: 2.1667070018991134e-06 loss: 0.0271 (0.0301) loss_seg: 0.0293 (0.0322) loss_lansim: 0.0711 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8736 data: 0.0027 max mem: 31671 Epoch: [38] [4110/5278] eta: 0:50:32 lr: 2.1636857975054747e-06 loss: 0.0270 (0.0301) loss_seg: 0.0284 (0.0322) loss_lansim: 0.0711 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8772 data: 0.0027 max mem: 31671 Epoch: [38] [4120/5278] eta: 0:50:07 lr: 2.160664124308102e-06 loss: 0.0271 (0.0301) loss_seg: 0.0295 (0.0322) loss_lansim: 0.0704 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8743 data: 0.0027 max mem: 31671 Epoch: [38] [4130/5278] eta: 0:49:41 lr: 2.1576419815055593e-06 loss: 0.0272 (0.0301) loss_seg: 0.0295 (0.0322) loss_lansim: 0.0699 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8799 data: 0.0028 max mem: 31671 Epoch: [38] [4140/5278] eta: 0:49:16 lr: 2.154619368293797e-06 loss: 0.0274 (0.0301) loss_seg: 0.0300 (0.0322) loss_lansim: 0.0685 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8761 data: 0.0027 max mem: 31671 Epoch: [38] [4150/5278] eta: 0:48:51 lr: 2.1515962838661116e-06 loss: 0.0272 (0.0301) loss_seg: 0.0297 (0.0322) loss_lansim: 0.0685 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8662 data: 0.0028 max mem: 31671 Epoch: [38] [4160/5278] eta: 0:48:26 lr: 2.148572727413177e-06 loss: 0.0284 (0.0301) loss_seg: 0.0304 (0.0322) loss_lansim: 0.0685 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8720 data: 0.0028 max mem: 31671 Epoch: [38] [4170/5278] eta: 0:48:00 lr: 2.1455486981230005e-06 loss: 0.0278 (0.0301) loss_seg: 0.0304 (0.0322) loss_lansim: 0.0704 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8744 data: 0.0028 max mem: 31671 Epoch: [38] [4180/5278] eta: 0:47:36 lr: 2.142524195180927e-06 loss: 0.0272 (0.0301) loss_seg: 0.0279 (0.0322) loss_lansim: 0.0704 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8902 data: 0.0028 max mem: 31671 Epoch: [38] [4190/5278] eta: 0:47:10 lr: 2.139499217769596e-06 loss: 0.0272 (0.0301) loss_seg: 0.0279 (0.0322) loss_lansim: 0.0715 (0.0702) loss_contra: 0.0000 (0.0014) time: 2.8932 data: 0.0028 max mem: 31671 Epoch: [38] [4200/5278] eta: 0:46:45 lr: 2.1364737650689707e-06 loss: 0.0272 (0.0301) loss_seg: 0.0277 (0.0322) loss_lansim: 0.0709 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8861 data: 0.0028 max mem: 31671 Epoch: [38] [4210/5278] eta: 0:46:20 lr: 2.1334478362562983e-06 loss: 0.0272 (0.0301) loss_seg: 0.0277 (0.0322) loss_lansim: 0.0704 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.8906 data: 0.0028 max mem: 31671 Epoch: [38] [4220/5278] eta: 0:45:55 lr: 2.1304214305061085e-06 loss: 0.0257 (0.0301) loss_seg: 0.0267 (0.0322) loss_lansim: 0.0709 (0.0701) loss_contra: 0.0000 (0.0014) time: 2.9005 data: 0.0029 max mem: 31671 Epoch: [38] [4230/5278] eta: 0:45:29 lr: 2.1273945469901744e-06 loss: 0.0266 (0.0301) loss_seg: 0.0279 (0.0322) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0014) time: 2.8913 data: 0.0028 max mem: 31671 Epoch: [38] [4240/5278] eta: 0:45:04 lr: 2.124367184877539e-06 loss: 0.0257 (0.0301) loss_seg: 0.0277 (0.0322) loss_lansim: 0.0712 (0.0702) loss_contra: 0.0000 (0.0014) time: 2.8997 data: 0.0028 max mem: 31671 Epoch: [38] [4250/5278] eta: 0:44:38 lr: 2.121339343334477e-06 loss: 0.0264 (0.0301) loss_seg: 0.0279 (0.0321) loss_lansim: 0.0711 (0.0702) loss_contra: 0.0000 (0.0014) time: 2.9119 data: 0.0028 max mem: 31671 Epoch: [38] [4260/5278] eta: 0:44:13 lr: 2.1183110215244898e-06 loss: 0.0269 (0.0301) loss_seg: 0.0284 (0.0321) loss_lansim: 0.0704 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8974 data: 0.0028 max mem: 31671 Epoch: [38] [4270/5278] eta: 0:43:48 lr: 2.1152822186082696e-06 loss: 0.0261 (0.0301) loss_seg: 0.0281 (0.0322) loss_lansim: 0.0701 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.9140 data: 0.0028 max mem: 31671 Epoch: [38] [4280/5278] eta: 0:43:22 lr: 2.1122529337437237e-06 loss: 0.0279 (0.0301) loss_seg: 0.0290 (0.0322) loss_lansim: 0.0701 (0.0701) loss_contra: 0.0000 (0.0013) time: 2.8856 data: 0.0028 max mem: 31671 Epoch: [38] [4290/5278] eta: 0:42:57 lr: 2.1092231660859345e-06 loss: 0.0283 (0.0301) loss_seg: 0.0307 (0.0322) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0014) time: 2.8970 data: 0.0027 max mem: 31671 Epoch: [38] [4300/5278] eta: 0:42:31 lr: 2.1061929147871526e-06 loss: 0.0285 (0.0301) loss_seg: 0.0309 (0.0321) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0014) time: 2.8988 data: 0.0028 max mem: 31671 Epoch: [38] [4310/5278] eta: 0:42:06 lr: 2.103162178996788e-06 loss: 0.0283 (0.0301) loss_seg: 0.0307 (0.0321) loss_lansim: 0.0684 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8991 data: 0.0028 max mem: 31671 Epoch: [38] [4320/5278] eta: 0:41:40 lr: 2.100130957861369e-06 loss: 0.0283 (0.0301) loss_seg: 0.0307 (0.0321) loss_lansim: 0.0678 (0.0701) loss_contra: 0.0000 (0.0013) time: 2.8814 data: 0.0028 max mem: 31671 Epoch: [38] [4330/5278] eta: 0:41:15 lr: 2.097099250524572e-06 loss: 0.0283 (0.0301) loss_seg: 0.0307 (0.0321) loss_lansim: 0.0665 (0.0701) loss_contra: 0.0000 (0.0013) time: 2.9026 data: 0.0028 max mem: 31671 Epoch: [38] [4340/5278] eta: 0:40:50 lr: 2.0940670561271756e-06 loss: 0.0281 (0.0301) loss_seg: 0.0307 (0.0321) loss_lansim: 0.0668 (0.0701) loss_contra: 0.0000 (0.0013) time: 2.9016 data: 0.0028 max mem: 31671 Epoch: [38] [4350/5278] eta: 0:40:24 lr: 2.091034373807063e-06 loss: 0.0277 (0.0301) loss_seg: 0.0300 (0.0321) loss_lansim: 0.0671 (0.0701) loss_contra: 0.0000 (0.0013) time: 2.9026 data: 0.0027 max mem: 31671 Epoch: [38] [4360/5278] eta: 0:39:58 lr: 2.088001202699178e-06 loss: 0.0273 (0.0301) loss_seg: 0.0292 (0.0321) loss_lansim: 0.0676 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.9010 data: 0.0028 max mem: 31671 Epoch: [38] [4370/5278] eta: 0:39:33 lr: 2.084967541935552e-06 loss: 0.0275 (0.0301) loss_seg: 0.0299 (0.0321) loss_lansim: 0.0676 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8892 data: 0.0027 max mem: 31671 Epoch: [38] [4380/5278] eta: 0:39:07 lr: 2.0819333906452635e-06 loss: 0.0275 (0.0301) loss_seg: 0.0299 (0.0321) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8985 data: 0.0028 max mem: 31671 Epoch: [38] [4390/5278] eta: 0:38:42 lr: 2.0788987479544354e-06 loss: 0.0275 (0.0301) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0684 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8923 data: 0.0028 max mem: 31671 Epoch: [38] [4400/5278] eta: 0:38:16 lr: 2.0758636129861924e-06 loss: 0.0284 (0.0301) loss_seg: 0.0300 (0.0322) loss_lansim: 0.0685 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8889 data: 0.0029 max mem: 31671 Epoch: [38] [4410/5278] eta: 0:37:50 lr: 2.0728279848606877e-06 loss: 0.0279 (0.0301) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0687 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8770 data: 0.0029 max mem: 31671 Epoch: [38] [4420/5278] eta: 0:37:25 lr: 2.0697918626950625e-06 loss: 0.0282 (0.0301) loss_seg: 0.0301 (0.0322) loss_lansim: 0.0693 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8853 data: 0.0029 max mem: 31671 Epoch: [38] [4430/5278] eta: 0:36:59 lr: 2.06675524560344e-06 loss: 0.0280 (0.0301) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0719 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8761 data: 0.0029 max mem: 31671 Epoch: [38] [4440/5278] eta: 0:36:33 lr: 2.0637181326968866e-06 loss: 0.0284 (0.0301) loss_seg: 0.0307 (0.0322) loss_lansim: 0.0720 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8671 data: 0.0029 max mem: 31671 Epoch: [38] [4450/5278] eta: 0:36:07 lr: 2.060680523083436e-06 loss: 0.0287 (0.0301) loss_seg: 0.0310 (0.0322) loss_lansim: 0.0720 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8532 data: 0.0029 max mem: 31671 Epoch: [38] [4460/5278] eta: 0:35:42 lr: 2.057642415868047e-06 loss: 0.0292 (0.0301) loss_seg: 0.0310 (0.0322) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8576 data: 0.0029 max mem: 31671 Epoch: [38] [4470/5278] eta: 0:35:16 lr: 2.0546038101526013e-06 loss: 0.0287 (0.0301) loss_seg: 0.0310 (0.0322) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8435 data: 0.0029 max mem: 31671 Epoch: [38] [4480/5278] eta: 0:34:50 lr: 2.0515647050358593e-06 loss: 0.0285 (0.0301) loss_seg: 0.0309 (0.0322) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8492 data: 0.0029 max mem: 31671 Epoch: [38] [4490/5278] eta: 0:34:24 lr: 2.0485250996134865e-06 loss: 0.0294 (0.0301) loss_seg: 0.0310 (0.0322) loss_lansim: 0.0721 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8441 data: 0.0029 max mem: 31671 Epoch: [38] [4500/5278] eta: 0:33:58 lr: 2.0454849929780117e-06 loss: 0.0305 (0.0302) loss_seg: 0.0310 (0.0322) loss_lansim: 0.0726 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8491 data: 0.0028 max mem: 31671 Epoch: [38] [4510/5278] eta: 0:33:33 lr: 2.0424443842188206e-06 loss: 0.0315 (0.0302) loss_seg: 0.0327 (0.0322) loss_lansim: 0.0721 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8648 data: 0.0028 max mem: 31671 Epoch: [38] [4520/5278] eta: 0:33:07 lr: 2.0394032724221162e-06 loss: 0.0315 (0.0302) loss_seg: 0.0327 (0.0322) loss_lansim: 0.0726 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8545 data: 0.0028 max mem: 31671 Epoch: [38] [4530/5278] eta: 0:32:41 lr: 2.0363616566709415e-06 loss: 0.0315 (0.0302) loss_seg: 0.0335 (0.0322) loss_lansim: 0.0717 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8482 data: 0.0028 max mem: 31671 Epoch: [38] [4540/5278] eta: 0:32:15 lr: 2.033319536045136e-06 loss: 0.0307 (0.0302) loss_seg: 0.0323 (0.0322) loss_lansim: 0.0705 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8416 data: 0.0028 max mem: 31671 Epoch: [38] [4550/5278] eta: 0:31:49 lr: 2.0302769096213277e-06 loss: 0.0307 (0.0301) loss_seg: 0.0310 (0.0322) loss_lansim: 0.0699 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.8126 data: 0.0028 max mem: 31671 Epoch: [38] [4560/5278] eta: 0:31:22 lr: 2.0272337764729205e-06 loss: 0.0282 (0.0301) loss_seg: 0.0301 (0.0322) loss_lansim: 0.0696 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7869 data: 0.0027 max mem: 31671 Epoch: [38] [4570/5278] eta: 0:30:56 lr: 2.024190135670053e-06 loss: 0.0287 (0.0301) loss_seg: 0.0302 (0.0322) loss_lansim: 0.0690 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7919 data: 0.0027 max mem: 31671 Epoch: [38] [4580/5278] eta: 0:30:31 lr: 2.0211459862796206e-06 loss: 0.0287 (0.0301) loss_seg: 0.0301 (0.0322) loss_lansim: 0.0693 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7834 data: 0.0027 max mem: 31671 Epoch: [38] [4590/5278] eta: 0:30:05 lr: 2.0181013273652313e-06 loss: 0.0266 (0.0301) loss_seg: 0.0287 (0.0322) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7761 data: 0.0027 max mem: 31671 Epoch: [38] [4600/5278] eta: 0:29:38 lr: 2.015056157987206e-06 loss: 0.0261 (0.0301) loss_seg: 0.0281 (0.0322) loss_lansim: 0.0685 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7549 data: 0.0026 max mem: 31671 Epoch: [38] [4610/5278] eta: 0:29:12 lr: 2.0120104772025266e-06 loss: 0.0259 (0.0301) loss_seg: 0.0275 (0.0322) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7321 data: 0.0026 max mem: 31671 Epoch: [38] [4620/5278] eta: 0:28:46 lr: 2.0089642840648685e-06 loss: 0.0263 (0.0301) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0689 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7343 data: 0.0026 max mem: 31671 Epoch: [38] [4630/5278] eta: 0:28:20 lr: 2.005917577624549e-06 loss: 0.0261 (0.0301) loss_seg: 0.0285 (0.0322) loss_lansim: 0.0690 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7260 data: 0.0026 max mem: 31671 Epoch: [38] [4640/5278] eta: 0:27:54 lr: 2.002870356928527e-06 loss: 0.0269 (0.0301) loss_seg: 0.0288 (0.0322) loss_lansim: 0.0695 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7286 data: 0.0026 max mem: 31671 Epoch: [38] [4650/5278] eta: 0:27:28 lr: 1.9998226210203556e-06 loss: 0.0263 (0.0301) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0697 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7525 data: 0.0026 max mem: 31671 Epoch: [38] [4660/5278] eta: 0:27:02 lr: 1.996774368940209e-06 loss: 0.0269 (0.0301) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0702 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7691 data: 0.0026 max mem: 31671 Epoch: [38] [4670/5278] eta: 0:26:36 lr: 1.9937255997248326e-06 loss: 0.0271 (0.0301) loss_seg: 0.0291 (0.0322) loss_lansim: 0.0709 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7649 data: 0.0026 max mem: 31671 Epoch: [38] [4680/5278] eta: 0:26:10 lr: 1.990676312407544e-06 loss: 0.0275 (0.0301) loss_seg: 0.0297 (0.0322) loss_lansim: 0.0707 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7528 data: 0.0026 max mem: 31671 Epoch: [38] [4690/5278] eta: 0:25:44 lr: 1.987626506018181e-06 loss: 0.0277 (0.0301) loss_seg: 0.0298 (0.0322) loss_lansim: 0.0711 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7471 data: 0.0026 max mem: 31671 Epoch: [38] [4700/5278] eta: 0:25:17 lr: 1.9845761795831306e-06 loss: 0.0277 (0.0301) loss_seg: 0.0298 (0.0321) loss_lansim: 0.0711 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7245 data: 0.0026 max mem: 31671 Epoch: [38] [4710/5278] eta: 0:24:51 lr: 1.9815253321252804e-06 loss: 0.0277 (0.0301) loss_seg: 0.0298 (0.0321) loss_lansim: 0.0711 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.6987 data: 0.0025 max mem: 31671 Epoch: [38] [4720/5278] eta: 0:24:24 lr: 1.9784739626640124e-06 loss: 0.0265 (0.0301) loss_seg: 0.0275 (0.0321) loss_lansim: 0.0704 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.6680 data: 0.0025 max mem: 31671 Epoch: [38] [4730/5278] eta: 0:23:58 lr: 1.97542207021516e-06 loss: 0.0263 (0.0301) loss_seg: 0.0275 (0.0321) loss_lansim: 0.0709 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.6449 data: 0.0025 max mem: 31671 Epoch: [38] [4740/5278] eta: 0:23:32 lr: 1.972369653791028e-06 loss: 0.0261 (0.0301) loss_seg: 0.0280 (0.0321) loss_lansim: 0.0704 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.6127 data: 0.0025 max mem: 31671 Epoch: [38] [4750/5278] eta: 0:23:05 lr: 1.969316712400347e-06 loss: 0.0267 (0.0301) loss_seg: 0.0291 (0.0321) loss_lansim: 0.0698 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5919 data: 0.0025 max mem: 31671 Epoch: [38] [4760/5278] eta: 0:22:39 lr: 1.9662632450482628e-06 loss: 0.0270 (0.0301) loss_seg: 0.0291 (0.0322) loss_lansim: 0.0694 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5595 data: 0.0025 max mem: 31671 Epoch: [38] [4770/5278] eta: 0:22:13 lr: 1.9632092507363207e-06 loss: 0.0267 (0.0301) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0683 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5369 data: 0.0025 max mem: 31671 Epoch: [38] [4780/5278] eta: 0:21:46 lr: 1.960154728462421e-06 loss: 0.0265 (0.0301) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0676 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5247 data: 0.0024 max mem: 31671 Epoch: [38] [4790/5278] eta: 0:21:20 lr: 1.9570996772208413e-06 loss: 0.0267 (0.0301) loss_seg: 0.0286 (0.0322) loss_lansim: 0.0674 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5014 data: 0.0024 max mem: 31671 Epoch: [38] [4800/5278] eta: 0:20:53 lr: 1.954044096002188e-06 loss: 0.0276 (0.0301) loss_seg: 0.0296 (0.0322) loss_lansim: 0.0674 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.4969 data: 0.0024 max mem: 31671 Epoch: [38] [4810/5278] eta: 0:20:27 lr: 1.95098798379339e-06 loss: 0.0280 (0.0301) loss_seg: 0.0302 (0.0322) loss_lansim: 0.0670 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.4976 data: 0.0024 max mem: 31671 Epoch: [38] [4820/5278] eta: 0:20:01 lr: 1.947931339577653e-06 loss: 0.0296 (0.0302) loss_seg: 0.0306 (0.0322) loss_lansim: 0.0676 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.4989 data: 0.0024 max mem: 31671 Epoch: [38] [4830/5278] eta: 0:19:34 lr: 1.9448741623344796e-06 loss: 0.0296 (0.0302) loss_seg: 0.0310 (0.0322) loss_lansim: 0.0679 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.4872 data: 0.0024 max mem: 31671 Epoch: [38] [4840/5278] eta: 0:19:08 lr: 1.9418164510396215e-06 loss: 0.0306 (0.0302) loss_seg: 0.0318 (0.0322) loss_lansim: 0.0678 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.4985 data: 0.0024 max mem: 31671 Epoch: [38] [4850/5278] eta: 0:18:42 lr: 1.938758204665074e-06 loss: 0.0313 (0.0302) loss_seg: 0.0323 (0.0322) loss_lansim: 0.0679 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5059 data: 0.0024 max mem: 31671 Epoch: [38] [4860/5278] eta: 0:18:15 lr: 1.9356994221790265e-06 loss: 0.0313 (0.0302) loss_seg: 0.0324 (0.0322) loss_lansim: 0.0691 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5119 data: 0.0026 max mem: 31671 Epoch: [38] [4870/5278] eta: 0:17:49 lr: 1.9326401025458847e-06 loss: 0.0311 (0.0302) loss_seg: 0.0319 (0.0322) loss_lansim: 0.0697 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5178 data: 0.0027 max mem: 31671 Epoch: [38] [4880/5278] eta: 0:17:23 lr: 1.9295802447262215e-06 loss: 0.0306 (0.0302) loss_seg: 0.0319 (0.0322) loss_lansim: 0.0702 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5291 data: 0.0027 max mem: 31671 Epoch: [38] [4890/5278] eta: 0:16:57 lr: 1.92651984767677e-06 loss: 0.0306 (0.0302) loss_seg: 0.0319 (0.0322) loss_lansim: 0.0705 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5547 data: 0.0027 max mem: 31671 Epoch: [38] [4900/5278] eta: 0:16:31 lr: 1.923458910350374e-06 loss: 0.0310 (0.0302) loss_seg: 0.0324 (0.0322) loss_lansim: 0.0705 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.5850 data: 0.0027 max mem: 31671 Epoch: [38] [4910/5278] eta: 0:16:05 lr: 1.9203974316960103e-06 loss: 0.0295 (0.0302) loss_seg: 0.0315 (0.0322) loss_lansim: 0.0701 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.6115 data: 0.0027 max mem: 31671 Epoch: [38] [4920/5278] eta: 0:15:39 lr: 1.9173354106587377e-06 loss: 0.0295 (0.0302) loss_seg: 0.0308 (0.0322) loss_lansim: 0.0693 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.6430 data: 0.0028 max mem: 31671 Epoch: [38] [4930/5278] eta: 0:15:12 lr: 1.9142728461796913e-06 loss: 0.0290 (0.0302) loss_seg: 0.0308 (0.0322) loss_lansim: 0.0697 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.6774 data: 0.0028 max mem: 31671 Epoch: [38] [4940/5278] eta: 0:14:46 lr: 1.91120973719603e-06 loss: 0.0277 (0.0302) loss_seg: 0.0298 (0.0322) loss_lansim: 0.0700 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.6990 data: 0.0028 max mem: 31671 Epoch: [38] [4950/5278] eta: 0:14:20 lr: 1.90814608264096e-06 loss: 0.0273 (0.0302) loss_seg: 0.0295 (0.0322) loss_lansim: 0.0700 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7181 data: 0.0029 max mem: 31671 Epoch: [38] [4960/5278] eta: 0:13:54 lr: 1.9050818814436818e-06 loss: 0.0277 (0.0302) loss_seg: 0.0295 (0.0322) loss_lansim: 0.0700 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7387 data: 0.0028 max mem: 31671 Epoch: [38] [4970/5278] eta: 0:13:28 lr: 1.9020171325293846e-06 loss: 0.0277 (0.0301) loss_seg: 0.0294 (0.0322) loss_lansim: 0.0691 (0.0702) loss_contra: 0.0000 (0.0012) time: 2.7425 data: 0.0027 max mem: 31671 Epoch: [38] [4980/5278] eta: 0:13:02 lr: 1.8989518348191945e-06 loss: 0.0282 (0.0302) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0685 (0.0702) loss_contra: 0.0000 (0.0012) time: 2.7480 data: 0.0027 max mem: 31671 Epoch: [38] [4990/5278] eta: 0:12:35 lr: 1.8958859872301941e-06 loss: 0.0277 (0.0302) loss_seg: 0.0295 (0.0322) loss_lansim: 0.0692 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7577 data: 0.0028 max mem: 31671 Epoch: [38] [5000/5278] eta: 0:12:09 lr: 1.8928195886753722e-06 loss: 0.0277 (0.0302) loss_seg: 0.0290 (0.0322) loss_lansim: 0.0677 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7579 data: 0.0028 max mem: 31671 Epoch: [38] [5010/5278] eta: 0:11:43 lr: 1.889752638063608e-06 loss: 0.0282 (0.0302) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0679 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7623 data: 0.0029 max mem: 31671 Epoch: [38] [5020/5278] eta: 0:11:17 lr: 1.8866851342996556e-06 loss: 0.0283 (0.0302) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0695 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7607 data: 0.0029 max mem: 31671 Epoch: [38] [5030/5278] eta: 0:10:51 lr: 1.8836170762840906e-06 loss: 0.0278 (0.0301) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0695 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7643 data: 0.0028 max mem: 31671 Epoch: [38] [5040/5278] eta: 0:10:25 lr: 1.8805484629133324e-06 loss: 0.0283 (0.0302) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0677 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7682 data: 0.0029 max mem: 31671 Epoch: [38] [5050/5278] eta: 0:09:58 lr: 1.8774792930795895e-06 loss: 0.0284 (0.0302) loss_seg: 0.0310 (0.0322) loss_lansim: 0.0677 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7585 data: 0.0028 max mem: 31671 Epoch: [38] [5060/5278] eta: 0:09:32 lr: 1.8744095656708517e-06 loss: 0.0283 (0.0302) loss_seg: 0.0306 (0.0322) loss_lansim: 0.0681 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7582 data: 0.0028 max mem: 31671 Epoch: [38] [5070/5278] eta: 0:09:06 lr: 1.8713392795708378e-06 loss: 0.0285 (0.0302) loss_seg: 0.0311 (0.0322) loss_lansim: 0.0695 (0.0702) loss_contra: 0.0000 (0.0013) time: 2.7671 data: 0.0028 max mem: 31671 Epoch: [38] [5080/5278] eta: 0:08:40 lr: 1.8682684336590127e-06 loss: 0.0285 (0.0302) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0705 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7696 data: 0.0028 max mem: 31671 Epoch: [38] [5090/5278] eta: 0:08:13 lr: 1.8651970268105366e-06 loss: 0.0285 (0.0301) loss_seg: 0.0303 (0.0322) loss_lansim: 0.0704 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7613 data: 0.0027 max mem: 31671 Epoch: [38] [5100/5278] eta: 0:07:47 lr: 1.8621250578962535e-06 loss: 0.0284 (0.0302) loss_seg: 0.0299 (0.0322) loss_lansim: 0.0709 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7696 data: 0.0027 max mem: 31671 Epoch: [38] [5110/5278] eta: 0:07:21 lr: 1.8590525257826398e-06 loss: 0.0289 (0.0302) loss_seg: 0.0303 (0.0322) loss_lansim: 0.0708 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7627 data: 0.0027 max mem: 31671 Epoch: [38] [5120/5278] eta: 0:06:55 lr: 1.8559794293318194e-06 loss: 0.0284 (0.0302) loss_seg: 0.0289 (0.0322) loss_lansim: 0.0708 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7627 data: 0.0027 max mem: 31671 Epoch: [38] [5130/5278] eta: 0:06:29 lr: 1.852905767401514e-06 loss: 0.0285 (0.0302) loss_seg: 0.0303 (0.0322) loss_lansim: 0.0708 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7486 data: 0.0027 max mem: 31671 Epoch: [38] [5140/5278] eta: 0:06:02 lr: 1.8498315388450292e-06 loss: 0.0289 (0.0302) loss_seg: 0.0303 (0.0322) loss_lansim: 0.0708 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7457 data: 0.0027 max mem: 31671 Epoch: [38] [5150/5278] eta: 0:05:36 lr: 1.8467567425112016e-06 loss: 0.0285 (0.0302) loss_seg: 0.0292 (0.0322) loss_lansim: 0.0714 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7524 data: 0.0027 max mem: 31671 Epoch: [38] [5160/5278] eta: 0:05:10 lr: 1.8436813772444168e-06 loss: 0.0285 (0.0302) loss_seg: 0.0304 (0.0322) loss_lansim: 0.0698 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7586 data: 0.0027 max mem: 31671 Epoch: [38] [5170/5278] eta: 0:04:44 lr: 1.8406054418845548e-06 loss: 0.0283 (0.0302) loss_seg: 0.0294 (0.0322) loss_lansim: 0.0698 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7658 data: 0.0028 max mem: 31671 Epoch: [38] [5180/5278] eta: 0:04:17 lr: 1.837528935266977e-06 loss: 0.0283 (0.0302) loss_seg: 0.0304 (0.0322) loss_lansim: 0.0688 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7661 data: 0.0027 max mem: 31671 Epoch: [38] [5190/5278] eta: 0:03:51 lr: 1.8344518562224737e-06 loss: 0.0280 (0.0302) loss_seg: 0.0302 (0.0322) loss_lansim: 0.0688 (0.0703) loss_contra: 0.0000 (0.0013) time: 2.7661 data: 0.0027 max mem: 31671 Epoch: [38] [5200/5278] eta: 0:03:25 lr: 1.8313742035772797e-06 loss: 0.0279 (0.0302) loss_seg: 0.0302 (0.0322) loss_lansim: 0.0689 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7619 data: 0.0027 max mem: 31671 Epoch: [38] [5210/5278] eta: 0:02:58 lr: 1.8282959761530186e-06 loss: 0.0267 (0.0302) loss_seg: 0.0290 (0.0322) loss_lansim: 0.0693 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7653 data: 0.0027 max mem: 31671 Epoch: [38] [5220/5278] eta: 0:02:32 lr: 1.8252171727666912e-06 loss: 0.0267 (0.0302) loss_seg: 0.0292 (0.0322) loss_lansim: 0.0690 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7553 data: 0.0027 max mem: 31671 Epoch: [38] [5230/5278] eta: 0:02:06 lr: 1.8221377922306197e-06 loss: 0.0265 (0.0302) loss_seg: 0.0287 (0.0322) loss_lansim: 0.0690 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7672 data: 0.0027 max mem: 31671 Epoch: [38] [5240/5278] eta: 0:01:39 lr: 1.819057833352464e-06 loss: 0.0265 (0.0302) loss_seg: 0.0287 (0.0322) loss_lansim: 0.0693 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7644 data: 0.0027 max mem: 31671 Epoch: [38] [5250/5278] eta: 0:01:13 lr: 1.815977294935165e-06 loss: 0.0267 (0.0302) loss_seg: 0.0294 (0.0322) loss_lansim: 0.0688 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7607 data: 0.0027 max mem: 31671 Epoch: [38] [5260/5278] eta: 0:00:47 lr: 1.8128961757769247e-06 loss: 0.0258 (0.0302) loss_seg: 0.0273 (0.0322) loss_lansim: 0.0697 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7680 data: 0.0028 max mem: 31671 Epoch: [38] [5270/5278] eta: 0:00:21 lr: 1.8098144746711853e-06 loss: 0.0264 (0.0302) loss_seg: 0.0280 (0.0322) loss_lansim: 0.0691 (0.0703) loss_contra: 0.0000 (0.0012) time: 2.7714 data: 0.0027 max mem: 31671 Epoch: [38] Total time: 3:51:35 Test: [ 0/2573] eta: 1:39:26 time: 2.3187 data: 2.1345 max mem: 31671 Test: [ 100/2573] eta: 0:06:51 time: 0.1450 data: 0.0016 max mem: 31671 Test: [ 200/2573] eta: 0:06:18 time: 0.1526 data: 0.0017 max mem: 31671 Test: [ 300/2573] eta: 0:05:55 time: 0.1495 data: 0.0017 max mem: 31671 Test: [ 400/2573] eta: 0:05:38 time: 0.1550 data: 0.0017 max mem: 31671 Test: [ 500/2573] eta: 0:05:21 time: 0.1519 data: 0.0017 max mem: 31671 Test: [ 600/2573] eta: 0:05:07 time: 0.1584 data: 0.0018 max mem: 31671 Test: [ 700/2573] eta: 0:04:51 time: 0.1570 data: 0.0017 max mem: 31671 Test: [ 800/2573] eta: 0:04:35 time: 0.1538 data: 0.0016 max mem: 31671 Test: [ 900/2573] eta: 0:04:19 time: 0.1528 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:04:03 time: 0.1505 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:47 time: 0.1505 data: 0.0017 max mem: 31671 Test: [1200/2573] eta: 0:03:31 time: 0.1520 data: 0.0017 max mem: 31671 Test: [1300/2573] eta: 0:03:15 time: 0.1502 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:59 time: 0.1458 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:44 time: 0.1513 data: 0.0016 max mem: 31671 Test: [1600/2573] eta: 0:02:28 time: 0.1504 data: 0.0016 max mem: 31671 Test: [1700/2573] eta: 0:02:15 time: 0.1883 data: 0.0021 max mem: 31671 Test: [1800/2573] eta: 0:02:00 time: 0.1686 data: 0.0019 max mem: 31671 Test: [1900/2573] eta: 0:01:44 time: 0.1495 data: 0.0017 max mem: 31671 Test: [2000/2573] eta: 0:01:28 time: 0.1475 data: 0.0018 max mem: 31671 Test: [2100/2573] eta: 0:01:13 time: 0.1504 data: 0.0017 max mem: 31671 Test: [2200/2573] eta: 0:00:57 time: 0.1458 data: 0.0016 max mem: 31671 Test: [2300/2573] eta: 0:00:42 time: 0.1503 data: 0.0016 max mem: 31671 Test: [2400/2573] eta: 0:00:26 time: 0.1492 data: 0.0017 max mem: 31671 Test: [2500/2573] eta: 0:00:11 time: 0.1525 data: 0.0018 max mem: 31671 Test: Total time: 0:06:36 Final results: precision@0.5 = 72.61 precision@0.6 = 68.61 precision@0.7 = 62.28 precision@0.8 = 51.35 precision@0.9 = 26.33 overall IoU = 61.49 mean IoU = 64.40 Average object IoU 0.6440159987056774 Overall IoU 61.49422297900991 Better epoch: 38 The best_performance is 61.49422297900991 Epoch: [39] [ 0/5278] eta: 6:49:19 lr: 1.8073486939705144e-06 loss: 0.0406 (0.0406) loss_seg: 0.0448 (0.0448) loss_lansim: 0.0662 (0.0662) loss_contra: 0.0000 (0.0000) time: 4.6533 data: 1.4652 max mem: 31671 Epoch: [39] [ 10/5278] eta: 4:13:39 lr: 1.8042659423033896e-06 loss: 0.0270 (0.0306) loss_seg: 0.0264 (0.0327) loss_lansim: 0.0691 (0.0700) loss_contra: 0.0001 (0.0004) time: 2.8891 data: 0.1347 max mem: 31671 Epoch: [39] [ 20/5278] eta: 4:09:03 lr: 1.8011826052847787e-06 loss: 0.0240 (0.0277) loss_seg: 0.0254 (0.0294) loss_lansim: 0.0662 (0.0685) loss_contra: 0.0000 (0.0003) time: 2.8421 data: 0.0715 max mem: 31671 Epoch: [39] [ 30/5278] eta: 4:06:01 lr: 1.798098681689746e-06 loss: 0.0282 (0.0297) loss_seg: 0.0293 (0.0318) loss_lansim: 0.0682 (0.0687) loss_contra: 0.0000 (0.0003) time: 2.8128 data: 0.0493 max mem: 31671 Epoch: [39] [ 40/5278] eta: 4:05:39 lr: 1.7950141702884525e-06 loss: 0.0269 (0.0282) loss_seg: 0.0268 (0.0303) loss_lansim: 0.0688 (0.0689) loss_contra: 0.0000 (0.0002) time: 2.8139 data: 0.0380 max mem: 31671 Epoch: [39] [ 50/5278] eta: 4:05:31 lr: 1.791929069846135e-06 loss: 0.0269 (0.0292) loss_seg: 0.0268 (0.0311) loss_lansim: 0.0688 (0.0698) loss_contra: 0.0000 (0.0002) time: 2.8178 data: 0.0311 max mem: 31671 Epoch: [39] [ 60/5278] eta: 4:02:56 lr: 1.788843379123047e-06 loss: 0.0270 (0.0297) loss_seg: 0.0275 (0.0316) loss_lansim: 0.0691 (0.0704) loss_contra: 0.0000 (0.0002) time: 2.7936 data: 0.0264 max mem: 31671 Epoch: [39] [ 70/5278] eta: 4:02:06 lr: 1.7857570968744731e-06 loss: 0.0268 (0.0290) loss_seg: 0.0273 (0.0309) loss_lansim: 0.0682 (0.0700) loss_contra: 0.0000 (0.0002) time: 2.7893 data: 0.0231 max mem: 31671 Epoch: [39] [ 80/5278] eta: 4:01:49 lr: 1.7826702218506697e-06 loss: 0.0269 (0.0289) loss_seg: 0.0275 (0.0307) loss_lansim: 0.0682 (0.0699) loss_contra: 0.0000 (0.0001) time: 2.7913 data: 0.0206 max mem: 31671 Epoch: [39] [ 90/5278] eta: 4:00:56 lr: 1.7795827527968507e-06 loss: 0.0268 (0.0286) loss_seg: 0.0280 (0.0304) loss_lansim: 0.0691 (0.0701) loss_contra: 0.0000 (0.0001) time: 2.7865 data: 0.0186 max mem: 31671 Epoch: [39] [ 100/5278] eta: 4:00:27 lr: 1.776494688453127e-06 loss: 0.0268 (0.0287) loss_seg: 0.0280 (0.0305) loss_lansim: 0.0694 (0.0701) loss_contra: 0.0000 (0.0001) time: 2.7676 data: 0.0026 max mem: 31671 Epoch: [39] [ 110/5278] eta: 3:59:20 lr: 1.7734060275545205e-06 loss: 0.0268 (0.0286) loss_seg: 0.0285 (0.0304) loss_lansim: 0.0691 (0.0702) loss_contra: 0.0000 (0.0004) time: 2.7666 data: 0.0027 max mem: 31671 Epoch: [39] [ 120/5278] eta: 3:58:55 lr: 1.7703167688309042e-06 loss: 0.0266 (0.0282) loss_seg: 0.0280 (0.0300) loss_lansim: 0.0699 (0.0704) loss_contra: 0.0000 (0.0003) time: 2.7660 data: 0.0027 max mem: 31671 Epoch: [39] [ 130/5278] eta: 3:57:55 lr: 1.7672269110069852e-06 loss: 0.0253 (0.0282) loss_seg: 0.0273 (0.0300) loss_lansim: 0.0709 (0.0709) loss_contra: 0.0000 (0.0003) time: 2.7607 data: 0.0027 max mem: 31671 Epoch: [39] [ 140/5278] eta: 3:57:21 lr: 1.764136452802246e-06 loss: 0.0260 (0.0282) loss_seg: 0.0280 (0.0300) loss_lansim: 0.0711 (0.0710) loss_contra: 0.0000 (0.0003) time: 2.7545 data: 0.0027 max mem: 31671 Epoch: [39] [ 150/5278] eta: 3:56:32 lr: 1.7610453929309545e-06 loss: 0.0255 (0.0280) loss_seg: 0.0277 (0.0298) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0003) time: 2.7420 data: 0.0027 max mem: 31671 Epoch: [39] [ 160/5278] eta: 3:56:19 lr: 1.7579537301021052e-06 loss: 0.0255 (0.0282) loss_seg: 0.0277 (0.0301) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0003) time: 2.7565 data: 0.0028 max mem: 31671 Epoch: [39] [ 170/5278] eta: 3:56:11 lr: 1.7548614630194013e-06 loss: 0.0260 (0.0282) loss_seg: 0.0279 (0.0301) loss_lansim: 0.0713 (0.0713) loss_contra: 0.0000 (0.0003) time: 2.7638 data: 0.0028 max mem: 31671 Epoch: [39] [ 180/5278] eta: 3:55:53 lr: 1.7517685903811927e-06 loss: 0.0255 (0.0279) loss_seg: 0.0274 (0.0298) loss_lansim: 0.0716 (0.0713) loss_contra: 0.0000 (0.0003) time: 2.7641 data: 0.0028 max mem: 31671 Epoch: [39] [ 190/5278] eta: 3:57:02 lr: 1.7486751108804878e-06 loss: 0.0260 (0.0282) loss_seg: 0.0277 (0.0301) loss_lansim: 0.0716 (0.0712) loss_contra: 0.0000 (0.0003) time: 2.8034 data: 0.0028 max mem: 31671 Epoch: [39] [ 200/5278] eta: 3:56:18 lr: 1.7455810232048917e-06 loss: 0.0255 (0.0281) loss_seg: 0.0274 (0.0300) loss_lansim: 0.0712 (0.0710) loss_contra: 0.0000 (0.0003) time: 2.7981 data: 0.0029 max mem: 31671 Epoch: [39] [ 210/5278] eta: 3:55:49 lr: 1.7424863260365884e-06 loss: 0.0255 (0.0282) loss_seg: 0.0274 (0.0302) loss_lansim: 0.0712 (0.0710) loss_contra: 0.0000 (0.0002) time: 2.8068 data: 0.0029 max mem: 31671 Epoch: [39] [ 220/5278] eta: 3:55:04 lr: 1.739391018052277e-06 loss: 0.0255 (0.0281) loss_seg: 0.0277 (0.0300) loss_lansim: 0.0712 (0.0712) loss_contra: 0.0000 (0.0003) time: 2.8001 data: 0.0029 max mem: 31671 Epoch: [39] [ 230/5278] eta: 3:54:17 lr: 1.736295097923183e-06 loss: 0.0255 (0.0282) loss_seg: 0.0277 (0.0301) loss_lansim: 0.0711 (0.0713) loss_contra: 0.0000 (0.0003) time: 2.8001 data: 0.0029 max mem: 31671 Epoch: [39] [ 240/5278] eta: 3:53:37 lr: 1.7331985643149955e-06 loss: 0.0256 (0.0282) loss_seg: 0.0277 (0.0301) loss_lansim: 0.0712 (0.0716) loss_contra: 0.0000 (0.0004) time: 2.7971 data: 0.0029 max mem: 31671 Epoch: [39] [ 250/5278] eta: 3:53:04 lr: 1.730101415887847e-06 loss: 0.0270 (0.0283) loss_seg: 0.0279 (0.0302) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0004) time: 2.8020 data: 0.0029 max mem: 31671 Epoch: [39] [ 260/5278] eta: 3:52:27 lr: 1.7270036512962501e-06 loss: 0.0266 (0.0285) loss_seg: 0.0275 (0.0305) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0005) time: 2.7938 data: 0.0029 max mem: 31671 Epoch: [39] [ 270/5278] eta: 3:51:48 lr: 1.7239052691891078e-06 loss: 0.0256 (0.0284) loss_seg: 0.0275 (0.0304) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0004) time: 2.7822 data: 0.0029 max mem: 31671 Epoch: [39] [ 280/5278] eta: 3:51:25 lr: 1.720806268209647e-06 loss: 0.0270 (0.0286) loss_seg: 0.0279 (0.0306) loss_lansim: 0.0706 (0.0714) loss_contra: 0.0000 (0.0004) time: 2.7815 data: 0.0029 max mem: 31671 Epoch: [39] [ 290/5278] eta: 3:50:38 lr: 1.7177066469953942e-06 loss: 0.0256 (0.0286) loss_seg: 0.0273 (0.0305) loss_lansim: 0.0719 (0.0717) loss_contra: 0.0000 (0.0005) time: 2.7345 data: 0.0029 max mem: 31671 Epoch: [39] [ 300/5278] eta: 3:50:03 lr: 1.7146064041781433e-06 loss: 0.0255 (0.0284) loss_seg: 0.0271 (0.0304) loss_lansim: 0.0723 (0.0716) loss_contra: 0.0000 (0.0005) time: 2.7344 data: 0.0029 max mem: 31671 Epoch: [39] [ 310/5278] eta: 3:49:36 lr: 1.7115055383838938e-06 loss: 0.0261 (0.0284) loss_seg: 0.0273 (0.0303) loss_lansim: 0.0721 (0.0715) loss_contra: 0.0000 (0.0005) time: 2.7327 data: 0.0028 max mem: 31671 Epoch: [39] [ 320/5278] eta: 3:49:03 lr: 1.7084040482328569e-06 loss: 0.0266 (0.0284) loss_seg: 0.0284 (0.0303) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0005) time: 2.7352 data: 0.0028 max mem: 31671 Epoch: [39] [ 330/5278] eta: 3:49:01 lr: 1.7053019323393913e-06 loss: 0.0276 (0.0285) loss_seg: 0.0291 (0.0304) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0005) time: 2.7597 data: 0.0028 max mem: 31671 Epoch: [39] [ 340/5278] eta: 3:48:34 lr: 1.702199189311979e-06 loss: 0.0270 (0.0285) loss_seg: 0.0288 (0.0304) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0005) time: 2.7652 data: 0.0029 max mem: 31671 Epoch: [39] [ 350/5278] eta: 3:48:00 lr: 1.699095817753162e-06 loss: 0.0270 (0.0286) loss_seg: 0.0288 (0.0305) loss_lansim: 0.0704 (0.0716) loss_contra: 0.0000 (0.0004) time: 2.7631 data: 0.0028 max mem: 31671 Epoch: [39] [ 360/5278] eta: 3:47:38 lr: 1.6959918162595463e-06 loss: 0.0272 (0.0285) loss_seg: 0.0291 (0.0304) loss_lansim: 0.0699 (0.0714) loss_contra: 0.0000 (0.0004) time: 2.7711 data: 0.0028 max mem: 31671 Epoch: [39] [ 370/5278] eta: 3:47:00 lr: 1.6928871834217363e-06 loss: 0.0275 (0.0286) loss_seg: 0.0297 (0.0305) loss_lansim: 0.0703 (0.0716) loss_contra: 0.0000 (0.0004) time: 2.7694 data: 0.0028 max mem: 31671 Epoch: [39] [ 380/5278] eta: 3:46:23 lr: 1.6897819178243124e-06 loss: 0.0282 (0.0288) loss_seg: 0.0304 (0.0307) loss_lansim: 0.0703 (0.0717) loss_contra: 0.0000 (0.0004) time: 2.7593 data: 0.0028 max mem: 31671 Epoch: [39] [ 390/5278] eta: 3:45:49 lr: 1.6866760180457613e-06 loss: 0.0279 (0.0287) loss_seg: 0.0301 (0.0306) loss_lansim: 0.0702 (0.0719) loss_contra: 0.0000 (0.0004) time: 2.7648 data: 0.0028 max mem: 31671 Epoch: [39] [ 400/5278] eta: 3:45:17 lr: 1.683569482658483e-06 loss: 0.0284 (0.0288) loss_seg: 0.0307 (0.0307) loss_lansim: 0.0711 (0.0720) loss_contra: 0.0000 (0.0004) time: 2.7657 data: 0.0027 max mem: 31671 Epoch: [39] [ 410/5278] eta: 3:44:52 lr: 1.6804623102287234e-06 loss: 0.0284 (0.0289) loss_seg: 0.0310 (0.0308) loss_lansim: 0.0714 (0.0720) loss_contra: 0.0000 (0.0004) time: 2.7674 data: 0.0027 max mem: 31671 Epoch: [39] [ 420/5278] eta: 3:44:20 lr: 1.6773544993165473e-06 loss: 0.0284 (0.0290) loss_seg: 0.0308 (0.0309) loss_lansim: 0.0712 (0.0720) loss_contra: 0.0000 (0.0004) time: 2.7670 data: 0.0028 max mem: 31671 Epoch: [39] [ 430/5278] eta: 3:43:31 lr: 1.6742460484757718e-06 loss: 0.0277 (0.0289) loss_seg: 0.0298 (0.0307) loss_lansim: 0.0711 (0.0720) loss_contra: 0.0000 (0.0004) time: 2.7309 data: 0.0027 max mem: 31671 Epoch: [39] [ 440/5278] eta: 3:43:04 lr: 1.67113695625397e-06 loss: 0.0286 (0.0290) loss_seg: 0.0311 (0.0309) loss_lansim: 0.0702 (0.0718) loss_contra: 0.0000 (0.0004) time: 2.7300 data: 0.0027 max mem: 31671 Epoch: [39] [ 450/5278] eta: 3:42:33 lr: 1.6680272211924003e-06 loss: 0.0284 (0.0289) loss_seg: 0.0310 (0.0309) loss_lansim: 0.0702 (0.0719) loss_contra: 0.0000 (0.0004) time: 2.7296 data: 0.0027 max mem: 31671 Epoch: [39] [ 460/5278] eta: 3:42:04 lr: 1.6649168418259818e-06 loss: 0.0280 (0.0288) loss_seg: 0.0295 (0.0307) loss_lansim: 0.0723 (0.0719) loss_contra: 0.0000 (0.0004) time: 2.7238 data: 0.0027 max mem: 31671 Epoch: [39] [ 470/5278] eta: 3:41:35 lr: 1.6618058166832249e-06 loss: 0.0284 (0.0290) loss_seg: 0.0299 (0.0309) loss_lansim: 0.0711 (0.0720) loss_contra: 0.0000 (0.0004) time: 2.7286 data: 0.0027 max mem: 31671 Epoch: [39] [ 480/5278] eta: 3:41:02 lr: 1.658694144286231e-06 loss: 0.0273 (0.0290) loss_seg: 0.0281 (0.0309) loss_lansim: 0.0708 (0.0719) loss_contra: 0.0000 (0.0004) time: 2.7297 data: 0.0027 max mem: 31671 Epoch: [39] [ 490/5278] eta: 3:40:30 lr: 1.6555818231506256e-06 loss: 0.0280 (0.0291) loss_seg: 0.0299 (0.0310) loss_lansim: 0.0695 (0.0718) loss_contra: 0.0000 (0.0005) time: 2.7289 data: 0.0027 max mem: 31671 Epoch: [39] [ 500/5278] eta: 3:40:08 lr: 1.6524688517855272e-06 loss: 0.0278 (0.0291) loss_seg: 0.0299 (0.0310) loss_lansim: 0.0683 (0.0716) loss_contra: 0.0000 (0.0004) time: 2.7375 data: 0.0027 max mem: 31671 Epoch: [39] [ 510/5278] eta: 3:39:40 lr: 1.6493552286934795e-06 loss: 0.0278 (0.0292) loss_seg: 0.0298 (0.0311) loss_lansim: 0.0691 (0.0717) loss_contra: 0.0000 (0.0004) time: 2.7351 data: 0.0027 max mem: 31671 Epoch: [39] [ 520/5278] eta: 3:39:18 lr: 1.6462409523704485e-06 loss: 0.0284 (0.0291) loss_seg: 0.0299 (0.0311) loss_lansim: 0.0690 (0.0716) loss_contra: 0.0000 (0.0005) time: 2.7440 data: 0.0028 max mem: 31671 Epoch: [39] [ 530/5278] eta: 3:38:43 lr: 1.6431260213057548e-06 loss: 0.0278 (0.0291) loss_seg: 0.0299 (0.0310) loss_lansim: 0.0691 (0.0716) loss_contra: 0.0000 (0.0005) time: 2.7536 data: 0.0028 max mem: 31671 Epoch: [39] [ 540/5278] eta: 3:38:15 lr: 1.6400104339820337e-06 loss: 0.0275 (0.0290) loss_seg: 0.0294 (0.0310) loss_lansim: 0.0695 (0.0716) loss_contra: 0.0000 (0.0005) time: 2.7526 data: 0.0027 max mem: 31671 Epoch: [39] [ 550/5278] eta: 3:37:46 lr: 1.636894188875201e-06 loss: 0.0276 (0.0291) loss_seg: 0.0298 (0.0310) loss_lansim: 0.0691 (0.0716) loss_contra: 0.0000 (0.0004) time: 2.7539 data: 0.0027 max mem: 31671 Epoch: [39] [ 560/5278] eta: 3:37:17 lr: 1.6337772844543793e-06 loss: 0.0278 (0.0290) loss_seg: 0.0301 (0.0310) loss_lansim: 0.0690 (0.0716) loss_contra: 0.0000 (0.0004) time: 2.7529 data: 0.0028 max mem: 31671 Epoch: [39] [ 570/5278] eta: 3:36:51 lr: 1.6306597191818963e-06 loss: 0.0276 (0.0290) loss_seg: 0.0298 (0.0310) loss_lansim: 0.0683 (0.0717) loss_contra: 0.0000 (0.0004) time: 2.7559 data: 0.0027 max mem: 31671 Epoch: [39] [ 580/5278] eta: 3:36:21 lr: 1.6275414915132115e-06 loss: 0.0284 (0.0291) loss_seg: 0.0300 (0.0311) loss_lansim: 0.0689 (0.0717) loss_contra: 0.0000 (0.0005) time: 2.7584 data: 0.0027 max mem: 31671 Epoch: [39] [ 590/5278] eta: 3:35:44 lr: 1.6244225998968855e-06 loss: 0.0284 (0.0292) loss_seg: 0.0299 (0.0311) loss_lansim: 0.0704 (0.0717) loss_contra: 0.0000 (0.0005) time: 2.7519 data: 0.0027 max mem: 31671 Epoch: [39] [ 600/5278] eta: 3:35:21 lr: 1.6213030427745052e-06 loss: 0.0281 (0.0291) loss_seg: 0.0291 (0.0310) loss_lansim: 0.0717 (0.0717) loss_contra: 0.0000 (0.0005) time: 2.7510 data: 0.0027 max mem: 31671 Epoch: [39] [ 610/5278] eta: 3:34:51 lr: 1.618182818580681e-06 loss: 0.0265 (0.0291) loss_seg: 0.0282 (0.0310) loss_lansim: 0.0713 (0.0718) loss_contra: 0.0000 (0.0005) time: 2.7472 data: 0.0027 max mem: 31671 Epoch: [39] [ 620/5278] eta: 3:34:21 lr: 1.6150619257429723e-06 loss: 0.0274 (0.0292) loss_seg: 0.0285 (0.0311) loss_lansim: 0.0714 (0.0718) loss_contra: 0.0000 (0.0004) time: 2.7384 data: 0.0027 max mem: 31671 Epoch: [39] [ 630/5278] eta: 3:33:48 lr: 1.611940362681853e-06 loss: 0.0281 (0.0291) loss_seg: 0.0288 (0.0311) loss_lansim: 0.0704 (0.0717) loss_contra: 0.0000 (0.0004) time: 2.7392 data: 0.0027 max mem: 31671 Epoch: [39] [ 640/5278] eta: 3:33:17 lr: 1.6088181278106372e-06 loss: 0.0276 (0.0291) loss_seg: 0.0288 (0.0310) loss_lansim: 0.0713 (0.0717) loss_contra: 0.0000 (0.0004) time: 2.7338 data: 0.0027 max mem: 31671 Epoch: [39] [ 650/5278] eta: 3:32:48 lr: 1.6056952195354744e-06 loss: 0.0274 (0.0291) loss_seg: 0.0288 (0.0311) loss_lansim: 0.0704 (0.0716) loss_contra: 0.0000 (0.0004) time: 2.7334 data: 0.0027 max mem: 31671 Epoch: [39] [ 660/5278] eta: 3:32:24 lr: 1.602571636255272e-06 loss: 0.0282 (0.0291) loss_seg: 0.0295 (0.0310) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0004) time: 2.7397 data: 0.0027 max mem: 31671 Epoch: [39] [ 670/5278] eta: 3:31:55 lr: 1.5994473763616615e-06 loss: 0.0282 (0.0291) loss_seg: 0.0298 (0.0311) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0004) time: 2.7355 data: 0.0027 max mem: 31671 Epoch: [39] [ 680/5278] eta: 3:31:26 lr: 1.59632243823892e-06 loss: 0.0274 (0.0292) loss_seg: 0.0295 (0.0311) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0004) time: 2.7351 data: 0.0027 max mem: 31671 Epoch: [39] [ 690/5278] eta: 3:30:59 lr: 1.593196820263965e-06 loss: 0.0276 (0.0292) loss_seg: 0.0298 (0.0311) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0004) time: 2.7472 data: 0.0027 max mem: 31671 Epoch: [39] [ 700/5278] eta: 3:30:29 lr: 1.5900705208062757e-06 loss: 0.0279 (0.0292) loss_seg: 0.0301 (0.0311) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0004) time: 2.7375 data: 0.0027 max mem: 31671 Epoch: [39] [ 710/5278] eta: 3:30:01 lr: 1.5869435382278554e-06 loss: 0.0280 (0.0292) loss_seg: 0.0300 (0.0312) loss_lansim: 0.0680 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.7407 data: 0.0028 max mem: 31671 Epoch: [39] [ 720/5278] eta: 3:29:37 lr: 1.5838158708831544e-06 loss: 0.0274 (0.0292) loss_seg: 0.0295 (0.0311) loss_lansim: 0.0679 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.7473 data: 0.0028 max mem: 31671 Epoch: [39] [ 730/5278] eta: 3:29:10 lr: 1.5806875171190593e-06 loss: 0.0280 (0.0292) loss_seg: 0.0300 (0.0312) loss_lansim: 0.0708 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.7567 data: 0.0028 max mem: 31671 Epoch: [39] [ 740/5278] eta: 3:28:42 lr: 1.5775584752748145e-06 loss: 0.0280 (0.0292) loss_seg: 0.0298 (0.0312) loss_lansim: 0.0708 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.7616 data: 0.0028 max mem: 31671 Epoch: [39] [ 750/5278] eta: 3:28:05 lr: 1.574428743681984e-06 loss: 0.0280 (0.0292) loss_seg: 0.0300 (0.0311) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7473 data: 0.0028 max mem: 31671 Epoch: [39] [ 760/5278] eta: 3:27:32 lr: 1.5712983206643696e-06 loss: 0.0280 (0.0292) loss_seg: 0.0298 (0.0311) loss_lansim: 0.0717 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7330 data: 0.0028 max mem: 31671 Epoch: [39] [ 770/5278] eta: 3:27:02 lr: 1.5681672045380003e-06 loss: 0.0280 (0.0292) loss_seg: 0.0298 (0.0312) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7300 data: 0.0027 max mem: 31671 Epoch: [39] [ 780/5278] eta: 3:26:32 lr: 1.5650353936110515e-06 loss: 0.0279 (0.0292) loss_seg: 0.0295 (0.0312) loss_lansim: 0.0716 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7283 data: 0.0027 max mem: 31671 Epoch: [39] [ 790/5278] eta: 3:26:10 lr: 1.5619028861837974e-06 loss: 0.0271 (0.0292) loss_seg: 0.0293 (0.0312) loss_lansim: 0.0716 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7359 data: 0.0027 max mem: 31671 Epoch: [39] [ 800/5278] eta: 3:25:42 lr: 1.5587696805485626e-06 loss: 0.0274 (0.0293) loss_seg: 0.0293 (0.0313) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7398 data: 0.0027 max mem: 31671 Epoch: [39] [ 810/5278] eta: 3:25:12 lr: 1.5556357749896391e-06 loss: 0.0271 (0.0293) loss_seg: 0.0295 (0.0312) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7353 data: 0.0027 max mem: 31671 Epoch: [39] [ 820/5278] eta: 3:24:40 lr: 1.5525011677832751e-06 loss: 0.0271 (0.0292) loss_seg: 0.0293 (0.0312) loss_lansim: 0.0719 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7216 data: 0.0027 max mem: 31671 Epoch: [39] [ 830/5278] eta: 3:24:07 lr: 1.5493658571975877e-06 loss: 0.0267 (0.0293) loss_seg: 0.0289 (0.0312) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7081 data: 0.0027 max mem: 31671 Epoch: [39] [ 840/5278] eta: 3:23:38 lr: 1.5462298414925222e-06 loss: 0.0267 (0.0292) loss_seg: 0.0290 (0.0312) loss_lansim: 0.0709 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7051 data: 0.0026 max mem: 31671 Epoch: [39] [ 850/5278] eta: 3:23:10 lr: 1.5430931189197652e-06 loss: 0.0266 (0.0292) loss_seg: 0.0288 (0.0311) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7195 data: 0.0026 max mem: 31671 Epoch: [39] [ 860/5278] eta: 3:22:41 lr: 1.5399556877227317e-06 loss: 0.0271 (0.0292) loss_seg: 0.0289 (0.0311) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.7259 data: 0.0026 max mem: 31671 Epoch: [39] [ 870/5278] eta: 3:22:18 lr: 1.5368175461364762e-06 loss: 0.0265 (0.0292) loss_seg: 0.0287 (0.0311) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.7385 data: 0.0026 max mem: 31671 Epoch: [39] [ 880/5278] eta: 3:21:48 lr: 1.5336786923876502e-06 loss: 0.0265 (0.0292) loss_seg: 0.0287 (0.0311) loss_lansim: 0.0717 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.7382 data: 0.0026 max mem: 31671 Epoch: [39] [ 890/5278] eta: 3:21:18 lr: 1.5305391246944114e-06 loss: 0.0268 (0.0292) loss_seg: 0.0288 (0.0311) loss_lansim: 0.0709 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.7236 data: 0.0026 max mem: 31671 Epoch: [39] [ 900/5278] eta: 3:20:46 lr: 1.5273988412664108e-06 loss: 0.0268 (0.0292) loss_seg: 0.0287 (0.0311) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0009) time: 2.7131 data: 0.0026 max mem: 31671 Epoch: [39] [ 910/5278] eta: 3:20:14 lr: 1.5242578403046995e-06 loss: 0.0265 (0.0292) loss_seg: 0.0286 (0.0311) loss_lansim: 0.0706 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7080 data: 0.0026 max mem: 31671 Epoch: [39] [ 920/5278] eta: 3:19:46 lr: 1.5211161200016856e-06 loss: 0.0275 (0.0292) loss_seg: 0.0294 (0.0312) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7156 data: 0.0025 max mem: 31671 Epoch: [39] [ 930/5278] eta: 3:19:15 lr: 1.517973678541041e-06 loss: 0.0272 (0.0292) loss_seg: 0.0289 (0.0312) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7194 data: 0.0025 max mem: 31671 Epoch: [39] [ 940/5278] eta: 3:18:47 lr: 1.5148305140976845e-06 loss: 0.0265 (0.0292) loss_seg: 0.0286 (0.0311) loss_lansim: 0.0709 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7185 data: 0.0026 max mem: 31671 Epoch: [39] [ 950/5278] eta: 3:18:17 lr: 1.5116866248376892e-06 loss: 0.0263 (0.0292) loss_seg: 0.0283 (0.0311) loss_lansim: 0.0709 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7144 data: 0.0026 max mem: 31671 Epoch: [39] [ 960/5278] eta: 3:17:49 lr: 1.508542008918234e-06 loss: 0.0259 (0.0291) loss_seg: 0.0277 (0.0311) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7162 data: 0.0026 max mem: 31671 Epoch: [39] [ 970/5278] eta: 3:17:19 lr: 1.5053966644875106e-06 loss: 0.0262 (0.0291) loss_seg: 0.0279 (0.0311) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7008 data: 0.0026 max mem: 31671 Epoch: [39] [ 980/5278] eta: 3:16:47 lr: 1.5022505896847019e-06 loss: 0.0262 (0.0291) loss_seg: 0.0277 (0.0311) loss_lansim: 0.0709 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6953 data: 0.0026 max mem: 31671 Epoch: [39] [ 990/5278] eta: 3:16:25 lr: 1.499103782639889e-06 loss: 0.0259 (0.0291) loss_seg: 0.0276 (0.0311) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7121 data: 0.0026 max mem: 31671 Epoch: [39] [1000/5278] eta: 3:15:54 lr: 1.4959562414739996e-06 loss: 0.0263 (0.0292) loss_seg: 0.0279 (0.0312) loss_lansim: 0.0702 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.7140 data: 0.0027 max mem: 31671 Epoch: [39] [1010/5278] eta: 3:15:22 lr: 1.492807964298711e-06 loss: 0.0264 (0.0292) loss_seg: 0.0283 (0.0312) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.7114 data: 0.0027 max mem: 31671 Epoch: [39] [1020/5278] eta: 3:14:53 lr: 1.4896589492164294e-06 loss: 0.0259 (0.0292) loss_seg: 0.0276 (0.0311) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.7082 data: 0.0027 max mem: 31671 Epoch: [39] [1030/5278] eta: 3:14:25 lr: 1.48650919432019e-06 loss: 0.0264 (0.0292) loss_seg: 0.0283 (0.0311) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.7117 data: 0.0027 max mem: 31671 Epoch: [39] [1040/5278] eta: 3:13:54 lr: 1.4833586976935993e-06 loss: 0.0268 (0.0291) loss_seg: 0.0290 (0.0311) loss_lansim: 0.0702 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.7054 data: 0.0027 max mem: 31671 Epoch: [39] [1050/5278] eta: 3:13:24 lr: 1.4802074574107706e-06 loss: 0.0270 (0.0291) loss_seg: 0.0290 (0.0311) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.7034 data: 0.0027 max mem: 31671 Epoch: [39] [1060/5278] eta: 3:12:53 lr: 1.4770554715362262e-06 loss: 0.0271 (0.0292) loss_seg: 0.0294 (0.0311) loss_lansim: 0.0699 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.6939 data: 0.0027 max mem: 31671 Epoch: [39] [1070/5278] eta: 3:12:22 lr: 1.4739027381248715e-06 loss: 0.0282 (0.0292) loss_seg: 0.0295 (0.0312) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6912 data: 0.0027 max mem: 31671 Epoch: [39] [1080/5278] eta: 3:11:49 lr: 1.4707492552218928e-06 loss: 0.0282 (0.0292) loss_seg: 0.0304 (0.0312) loss_lansim: 0.0694 (0.0712) loss_contra: 0.0000 (0.0008) time: 2.6862 data: 0.0027 max mem: 31671 Epoch: [39] [1090/5278] eta: 3:11:20 lr: 1.4675950208627033e-06 loss: 0.0283 (0.0292) loss_seg: 0.0304 (0.0312) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6696 data: 0.0026 max mem: 31671 Epoch: [39] [1100/5278] eta: 3:10:52 lr: 1.4644400330728378e-06 loss: 0.0282 (0.0292) loss_seg: 0.0305 (0.0312) loss_lansim: 0.0698 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.6747 data: 0.0026 max mem: 31671 Epoch: [39] [1110/5278] eta: 3:10:23 lr: 1.4612842898679262e-06 loss: 0.0283 (0.0293) loss_seg: 0.0305 (0.0312) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6822 data: 0.0026 max mem: 31671 Epoch: [39] [1120/5278] eta: 3:09:53 lr: 1.4581277892535896e-06 loss: 0.0283 (0.0293) loss_seg: 0.0307 (0.0313) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6773 data: 0.0026 max mem: 31671 Epoch: [39] [1130/5278] eta: 3:09:23 lr: 1.4549705292253793e-06 loss: 0.0283 (0.0293) loss_seg: 0.0308 (0.0313) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6717 data: 0.0026 max mem: 31671 Epoch: [39] [1140/5278] eta: 3:08:52 lr: 1.4518125077686735e-06 loss: 0.0285 (0.0293) loss_seg: 0.0308 (0.0313) loss_lansim: 0.0697 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6702 data: 0.0026 max mem: 31671 Epoch: [39] [1150/5278] eta: 3:08:21 lr: 1.4486537228586445e-06 loss: 0.0288 (0.0294) loss_seg: 0.0313 (0.0313) loss_lansim: 0.0706 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6657 data: 0.0027 max mem: 31671 Epoch: [39] [1160/5278] eta: 3:07:54 lr: 1.445494172460153e-06 loss: 0.0288 (0.0294) loss_seg: 0.0308 (0.0314) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6750 data: 0.0027 max mem: 31671 Epoch: [39] [1170/5278] eta: 3:07:28 lr: 1.442333854527685e-06 loss: 0.0290 (0.0295) loss_seg: 0.0313 (0.0315) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0010) time: 2.6888 data: 0.0027 max mem: 31671 Epoch: [39] [1180/5278] eta: 3:07:01 lr: 1.4391727670052433e-06 loss: 0.0290 (0.0295) loss_seg: 0.0313 (0.0315) loss_lansim: 0.0714 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7024 data: 0.0027 max mem: 31671 Epoch: [39] [1190/5278] eta: 3:06:34 lr: 1.4360109078263136e-06 loss: 0.0285 (0.0296) loss_seg: 0.0308 (0.0316) loss_lansim: 0.0703 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7065 data: 0.0027 max mem: 31671 Epoch: [39] [1200/5278] eta: 3:06:06 lr: 1.4328482749137546e-06 loss: 0.0280 (0.0296) loss_seg: 0.0305 (0.0316) loss_lansim: 0.0712 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7056 data: 0.0027 max mem: 31671 Epoch: [39] [1210/5278] eta: 3:05:36 lr: 1.429684866179732e-06 loss: 0.0279 (0.0296) loss_seg: 0.0304 (0.0316) loss_lansim: 0.0714 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7012 data: 0.0027 max mem: 31671 Epoch: [39] [1220/5278] eta: 3:05:08 lr: 1.4265206795256072e-06 loss: 0.0278 (0.0295) loss_seg: 0.0299 (0.0316) loss_lansim: 0.0703 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7076 data: 0.0027 max mem: 31671 Epoch: [39] [1230/5278] eta: 3:04:38 lr: 1.4233557128418996e-06 loss: 0.0278 (0.0295) loss_seg: 0.0299 (0.0316) loss_lansim: 0.0712 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7056 data: 0.0027 max mem: 31671 Epoch: [39] [1240/5278] eta: 3:04:07 lr: 1.4201899640081734e-06 loss: 0.0279 (0.0295) loss_seg: 0.0299 (0.0316) loss_lansim: 0.0714 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7056 data: 0.0026 max mem: 31671 Epoch: [39] [1250/5278] eta: 3:03:40 lr: 1.417023430892969e-06 loss: 0.0279 (0.0296) loss_seg: 0.0299 (0.0316) loss_lansim: 0.0699 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.7143 data: 0.0026 max mem: 31671 Epoch: [39] [1260/5278] eta: 3:03:10 lr: 1.4138561113536876e-06 loss: 0.0276 (0.0295) loss_seg: 0.0296 (0.0315) loss_lansim: 0.0696 (0.0712) loss_contra: 0.0000 (0.0009) time: 2.7062 data: 0.0026 max mem: 31671 Epoch: [39] [1270/5278] eta: 3:02:39 lr: 1.41068800323655e-06 loss: 0.0275 (0.0296) loss_seg: 0.0298 (0.0316) loss_lansim: 0.0697 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6894 data: 0.0026 max mem: 31671 Epoch: [39] [1280/5278] eta: 3:02:12 lr: 1.4075191043764813e-06 loss: 0.0275 (0.0296) loss_seg: 0.0296 (0.0316) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6881 data: 0.0026 max mem: 31671 Epoch: [39] [1290/5278] eta: 3:01:42 lr: 1.4043494125970292e-06 loss: 0.0273 (0.0295) loss_seg: 0.0294 (0.0315) loss_lansim: 0.0711 (0.0713) loss_contra: 0.0000 (0.0009) time: 2.6788 data: 0.0026 max mem: 31671 Epoch: [39] [1300/5278] eta: 3:01:15 lr: 1.4011789257102843e-06 loss: 0.0271 (0.0296) loss_seg: 0.0294 (0.0316) loss_lansim: 0.0717 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6834 data: 0.0026 max mem: 31671 Epoch: [39] [1310/5278] eta: 3:00:56 lr: 1.39800764151676e-06 loss: 0.0268 (0.0296) loss_seg: 0.0276 (0.0316) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7175 data: 0.0027 max mem: 31671 Epoch: [39] [1320/5278] eta: 3:00:25 lr: 1.3948355578053476e-06 loss: 0.0257 (0.0295) loss_seg: 0.0269 (0.0316) loss_lansim: 0.0718 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7071 data: 0.0027 max mem: 31671 Epoch: [39] [1330/5278] eta: 2:59:55 lr: 1.3916626723531946e-06 loss: 0.0273 (0.0297) loss_seg: 0.0295 (0.0317) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7069 data: 0.0027 max mem: 31671 Epoch: [39] [1340/5278] eta: 2:59:25 lr: 1.3884889829256278e-06 loss: 0.0275 (0.0297) loss_seg: 0.0298 (0.0317) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7079 data: 0.0027 max mem: 31671 Epoch: [39] [1350/5278] eta: 2:58:58 lr: 1.3853144872760303e-06 loss: 0.0271 (0.0297) loss_seg: 0.0293 (0.0317) loss_lansim: 0.0721 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7087 data: 0.0027 max mem: 31671 Epoch: [39] [1360/5278] eta: 2:58:30 lr: 1.3821391831457924e-06 loss: 0.0273 (0.0297) loss_seg: 0.0295 (0.0317) loss_lansim: 0.0721 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7124 data: 0.0027 max mem: 31671 Epoch: [39] [1370/5278] eta: 2:58:03 lr: 1.3789630682641857e-06 loss: 0.0273 (0.0297) loss_seg: 0.0295 (0.0317) loss_lansim: 0.0720 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7256 data: 0.0027 max mem: 31671 Epoch: [39] [1380/5278] eta: 2:57:37 lr: 1.375786140348283e-06 loss: 0.0268 (0.0296) loss_seg: 0.0287 (0.0317) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7303 data: 0.0027 max mem: 31671 Epoch: [39] [1390/5278] eta: 2:57:06 lr: 1.3726083971028311e-06 loss: 0.0273 (0.0296) loss_seg: 0.0293 (0.0317) loss_lansim: 0.0715 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7243 data: 0.0028 max mem: 31671 Epoch: [39] [1400/5278] eta: 2:56:36 lr: 1.369429836220197e-06 loss: 0.0268 (0.0296) loss_seg: 0.0289 (0.0316) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7132 data: 0.0028 max mem: 31671 Epoch: [39] [1410/5278] eta: 2:56:08 lr: 1.366250455380239e-06 loss: 0.0263 (0.0296) loss_seg: 0.0285 (0.0316) loss_lansim: 0.0700 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.6819 data: 0.0028 max mem: 31671 Epoch: [39] [1420/5278] eta: 2:55:40 lr: 1.3630702522502214e-06 loss: 0.0265 (0.0296) loss_seg: 0.0285 (0.0316) loss_lansim: 0.0700 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.6904 data: 0.0028 max mem: 31671 Epoch: [39] [1430/5278] eta: 2:55:11 lr: 1.3598892244846839e-06 loss: 0.0261 (0.0295) loss_seg: 0.0280 (0.0315) loss_lansim: 0.0702 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.6930 data: 0.0028 max mem: 31671 Epoch: [39] [1440/5278] eta: 2:54:45 lr: 1.3567073697253834e-06 loss: 0.0243 (0.0295) loss_seg: 0.0255 (0.0315) loss_lansim: 0.0704 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.7066 data: 0.0027 max mem: 31671 Epoch: [39] [1450/5278] eta: 2:54:18 lr: 1.3535246856011608e-06 loss: 0.0245 (0.0295) loss_seg: 0.0265 (0.0315) loss_lansim: 0.0697 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.7076 data: 0.0028 max mem: 31671 Epoch: [39] [1460/5278] eta: 2:53:52 lr: 1.3503411697278513e-06 loss: 0.0253 (0.0295) loss_seg: 0.0274 (0.0315) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7161 data: 0.0028 max mem: 31671 Epoch: [39] [1470/5278] eta: 2:53:21 lr: 1.3471568197081491e-06 loss: 0.0251 (0.0296) loss_seg: 0.0265 (0.0316) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.6996 data: 0.0028 max mem: 31671 Epoch: [39] [1480/5278] eta: 2:52:57 lr: 1.343971633131545e-06 loss: 0.0258 (0.0296) loss_seg: 0.0275 (0.0316) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7082 data: 0.0028 max mem: 31671 Epoch: [39] [1490/5278] eta: 2:52:31 lr: 1.3407856075741887e-06 loss: 0.0261 (0.0296) loss_seg: 0.0279 (0.0316) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7269 data: 0.0027 max mem: 31671 Epoch: [39] [1500/5278] eta: 2:52:01 lr: 1.3375987405987953e-06 loss: 0.0273 (0.0296) loss_seg: 0.0287 (0.0316) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7245 data: 0.0027 max mem: 31671 Epoch: [39] [1510/5278] eta: 2:51:32 lr: 1.3344110297545032e-06 loss: 0.0273 (0.0296) loss_seg: 0.0285 (0.0316) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7213 data: 0.0027 max mem: 31671 Epoch: [39] [1520/5278] eta: 2:50:59 lr: 1.3312224725768096e-06 loss: 0.0273 (0.0296) loss_seg: 0.0287 (0.0316) loss_lansim: 0.0708 (0.0714) loss_contra: 0.0000 (0.0009) time: 2.7032 data: 0.0026 max mem: 31671 Epoch: [39] [1530/5278] eta: 2:50:31 lr: 1.3280330665874262e-06 loss: 0.0273 (0.0296) loss_seg: 0.0287 (0.0316) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7042 data: 0.0027 max mem: 31671 Epoch: [39] [1540/5278] eta: 2:50:03 lr: 1.3248428092941735e-06 loss: 0.0285 (0.0296) loss_seg: 0.0303 (0.0316) loss_lansim: 0.0699 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.6954 data: 0.0027 max mem: 31671 Epoch: [39] [1550/5278] eta: 2:49:32 lr: 1.3216516981908726e-06 loss: 0.0285 (0.0296) loss_seg: 0.0305 (0.0316) loss_lansim: 0.0698 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.6798 data: 0.0027 max mem: 31671 Epoch: [39] [1560/5278] eta: 2:49:01 lr: 1.3184597307571994e-06 loss: 0.0287 (0.0296) loss_seg: 0.0309 (0.0317) loss_lansim: 0.0694 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6601 data: 0.0027 max mem: 31671 Epoch: [39] [1570/5278] eta: 2:48:32 lr: 1.3152669044586109e-06 loss: 0.0302 (0.0297) loss_seg: 0.0312 (0.0317) loss_lansim: 0.0693 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6657 data: 0.0027 max mem: 31671 Epoch: [39] [1580/5278] eta: 2:48:07 lr: 1.3120732167461964e-06 loss: 0.0291 (0.0297) loss_seg: 0.0312 (0.0317) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6603 data: 0.0026 max mem: 31671 Epoch: [39] [1590/5278] eta: 2:47:38 lr: 1.3088786650565721e-06 loss: 0.0287 (0.0297) loss_seg: 0.0309 (0.0317) loss_lansim: 0.0693 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6463 data: 0.0026 max mem: 31671 Epoch: [39] [1600/5278] eta: 2:47:08 lr: 1.3056832468117304e-06 loss: 0.0285 (0.0297) loss_seg: 0.0308 (0.0317) loss_lansim: 0.0701 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6462 data: 0.0027 max mem: 31671 Epoch: [39] [1610/5278] eta: 2:46:39 lr: 1.3024869594189593e-06 loss: 0.0287 (0.0297) loss_seg: 0.0312 (0.0317) loss_lansim: 0.0709 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6444 data: 0.0027 max mem: 31671 Epoch: [39] [1620/5278] eta: 2:46:11 lr: 1.29928980027069e-06 loss: 0.0286 (0.0296) loss_seg: 0.0311 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6626 data: 0.0027 max mem: 31671 Epoch: [39] [1630/5278] eta: 2:45:44 lr: 1.296091766744386e-06 loss: 0.0284 (0.0296) loss_seg: 0.0308 (0.0316) loss_lansim: 0.0701 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6664 data: 0.0027 max mem: 31671 Epoch: [39] [1640/5278] eta: 2:45:13 lr: 1.292892856202384e-06 loss: 0.0282 (0.0296) loss_seg: 0.0306 (0.0316) loss_lansim: 0.0703 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6522 data: 0.0026 max mem: 31671 Epoch: [39] [1650/5278] eta: 2:44:42 lr: 1.2896930659918121e-06 loss: 0.0284 (0.0296) loss_seg: 0.0306 (0.0317) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6518 data: 0.0026 max mem: 31671 Epoch: [39] [1660/5278] eta: 2:44:15 lr: 1.2864923934444286e-06 loss: 0.0275 (0.0297) loss_seg: 0.0294 (0.0317) loss_lansim: 0.0703 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6635 data: 0.0026 max mem: 31671 Epoch: [39] [1670/5278] eta: 2:43:47 lr: 1.2832908358765056e-06 loss: 0.0269 (0.0296) loss_seg: 0.0293 (0.0317) loss_lansim: 0.0713 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6675 data: 0.0026 max mem: 31671 Epoch: [39] [1680/5278] eta: 2:43:18 lr: 1.280088390588665e-06 loss: 0.0268 (0.0296) loss_seg: 0.0287 (0.0317) loss_lansim: 0.0705 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6503 data: 0.0026 max mem: 31671 Epoch: [39] [1690/5278] eta: 2:42:51 lr: 1.2768850548657907e-06 loss: 0.0269 (0.0296) loss_seg: 0.0288 (0.0317) loss_lansim: 0.0703 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6637 data: 0.0026 max mem: 31671 Epoch: [39] [1700/5278] eta: 2:42:22 lr: 1.2736808259768606e-06 loss: 0.0268 (0.0296) loss_seg: 0.0288 (0.0316) loss_lansim: 0.0692 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6627 data: 0.0026 max mem: 31671 Epoch: [39] [1710/5278] eta: 2:41:53 lr: 1.2704757011748242e-06 loss: 0.0268 (0.0296) loss_seg: 0.0288 (0.0316) loss_lansim: 0.0685 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6640 data: 0.0026 max mem: 31671 Epoch: [39] [1720/5278] eta: 2:41:26 lr: 1.2672696776964336e-06 loss: 0.0272 (0.0296) loss_seg: 0.0293 (0.0316) loss_lansim: 0.0689 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6638 data: 0.0026 max mem: 31671 Epoch: [39] [1730/5278] eta: 2:40:56 lr: 1.2640627527621476e-06 loss: 0.0271 (0.0296) loss_seg: 0.0290 (0.0316) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6528 data: 0.0026 max mem: 31671 Epoch: [39] [1740/5278] eta: 2:40:28 lr: 1.2608549235759586e-06 loss: 0.0263 (0.0296) loss_seg: 0.0286 (0.0316) loss_lansim: 0.0689 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6669 data: 0.0026 max mem: 31671 Epoch: [39] [1750/5278] eta: 2:40:01 lr: 1.2576461873252634e-06 loss: 0.0263 (0.0296) loss_seg: 0.0285 (0.0316) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6792 data: 0.0026 max mem: 31671 Epoch: [39] [1760/5278] eta: 2:39:35 lr: 1.2544365411806873e-06 loss: 0.0253 (0.0295) loss_seg: 0.0270 (0.0316) loss_lansim: 0.0691 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.6886 data: 0.0026 max mem: 31671 Epoch: [39] [1770/5278] eta: 2:39:05 lr: 1.251225982295982e-06 loss: 0.0248 (0.0295) loss_seg: 0.0270 (0.0315) loss_lansim: 0.0691 (0.0713) loss_contra: 0.0000 (0.0008) time: 2.6765 data: 0.0026 max mem: 31671 Epoch: [39] [1780/5278] eta: 2:38:35 lr: 1.2480145078078453e-06 loss: 0.0264 (0.0295) loss_seg: 0.0285 (0.0315) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6699 data: 0.0026 max mem: 31671 Epoch: [39] [1790/5278] eta: 2:38:04 lr: 1.2448021148357784e-06 loss: 0.0258 (0.0295) loss_seg: 0.0280 (0.0315) loss_lansim: 0.0703 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6484 data: 0.0026 max mem: 31671 Epoch: [39] [1800/5278] eta: 2:37:35 lr: 1.2415888004819394e-06 loss: 0.0258 (0.0295) loss_seg: 0.0272 (0.0315) loss_lansim: 0.0704 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6487 data: 0.0025 max mem: 31671 Epoch: [39] [1810/5278] eta: 2:37:05 lr: 1.2383745618309597e-06 loss: 0.0248 (0.0295) loss_seg: 0.0270 (0.0315) loss_lansim: 0.0704 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6380 data: 0.0025 max mem: 31671 Epoch: [39] [1820/5278] eta: 2:36:37 lr: 1.2351593959498317e-06 loss: 0.0248 (0.0295) loss_seg: 0.0269 (0.0315) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6344 data: 0.0025 max mem: 31671 Epoch: [39] [1830/5278] eta: 2:36:11 lr: 1.2319432998877207e-06 loss: 0.0252 (0.0295) loss_seg: 0.0271 (0.0315) loss_lansim: 0.0690 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6547 data: 0.0025 max mem: 31671 Epoch: [39] [1840/5278] eta: 2:35:45 lr: 1.22872627067582e-06 loss: 0.0266 (0.0295) loss_seg: 0.0284 (0.0315) loss_lansim: 0.0702 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6643 data: 0.0025 max mem: 31671 Epoch: [39] [1850/5278] eta: 2:35:17 lr: 1.2255083053271573e-06 loss: 0.0266 (0.0295) loss_seg: 0.0284 (0.0315) loss_lansim: 0.0704 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6582 data: 0.0026 max mem: 31671 Epoch: [39] [1860/5278] eta: 2:34:47 lr: 1.2222894008364777e-06 loss: 0.0266 (0.0295) loss_seg: 0.0284 (0.0315) loss_lansim: 0.0718 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6336 data: 0.0025 max mem: 31671 Epoch: [39] [1870/5278] eta: 2:34:17 lr: 1.2190695541800457e-06 loss: 0.0270 (0.0295) loss_seg: 0.0287 (0.0315) loss_lansim: 0.0711 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6356 data: 0.0025 max mem: 31671 Epoch: [39] [1880/5278] eta: 2:33:49 lr: 1.215848762315493e-06 loss: 0.0266 (0.0295) loss_seg: 0.0280 (0.0315) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6449 data: 0.0026 max mem: 31671 Epoch: [39] [1890/5278] eta: 2:33:20 lr: 1.2126270221816185e-06 loss: 0.0266 (0.0295) loss_seg: 0.0281 (0.0315) loss_lansim: 0.0690 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6499 data: 0.0026 max mem: 31671 Epoch: [39] [1900/5278] eta: 2:32:51 lr: 1.2094043306982603e-06 loss: 0.0266 (0.0295) loss_seg: 0.0281 (0.0315) loss_lansim: 0.0695 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6515 data: 0.0026 max mem: 31671 Epoch: [39] [1910/5278] eta: 2:32:23 lr: 1.2061806847660928e-06 loss: 0.0269 (0.0295) loss_seg: 0.0282 (0.0315) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6601 data: 0.0026 max mem: 31671 Epoch: [39] [1920/5278] eta: 2:31:55 lr: 1.2029560812664632e-06 loss: 0.0267 (0.0295) loss_seg: 0.0282 (0.0315) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6608 data: 0.0026 max mem: 31671 Epoch: [39] [1930/5278] eta: 2:31:27 lr: 1.1997305170611852e-06 loss: 0.0259 (0.0295) loss_seg: 0.0278 (0.0315) loss_lansim: 0.0710 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6440 data: 0.0026 max mem: 31671 Epoch: [39] [1940/5278] eta: 2:31:04 lr: 1.1965039889924018e-06 loss: 0.0253 (0.0295) loss_seg: 0.0267 (0.0315) loss_lansim: 0.0706 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6623 data: 0.0026 max mem: 31671 Epoch: [39] [1950/5278] eta: 2:30:38 lr: 1.1932764938823727e-06 loss: 0.0253 (0.0294) loss_seg: 0.0267 (0.0314) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6767 data: 0.0026 max mem: 31671 Epoch: [39] [1960/5278] eta: 2:30:10 lr: 1.1900480285333042e-06 loss: 0.0251 (0.0294) loss_seg: 0.0267 (0.0314) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6869 data: 0.0026 max mem: 31671 Epoch: [39] [1970/5278] eta: 2:29:42 lr: 1.1868185897271318e-06 loss: 0.0244 (0.0294) loss_seg: 0.0266 (0.0314) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6939 data: 0.0026 max mem: 31671 Epoch: [39] [1980/5278] eta: 2:29:13 lr: 1.1835881742253752e-06 loss: 0.0265 (0.0294) loss_seg: 0.0280 (0.0315) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6877 data: 0.0026 max mem: 31671 Epoch: [39] [1990/5278] eta: 2:28:43 lr: 1.1803567787689154e-06 loss: 0.0271 (0.0295) loss_seg: 0.0290 (0.0315) loss_lansim: 0.0696 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6812 data: 0.0026 max mem: 31671 Epoch: [39] [2000/5278] eta: 2:28:15 lr: 1.1771244000778086e-06 loss: 0.0271 (0.0295) loss_seg: 0.0287 (0.0315) loss_lansim: 0.0690 (0.0713) loss_contra: 0.0000 (0.0007) time: 2.6849 data: 0.0026 max mem: 31671 Epoch: [39] [2010/5278] eta: 2:27:47 lr: 1.1738910348510972e-06 loss: 0.0271 (0.0295) loss_seg: 0.0290 (0.0315) loss_lansim: 0.0689 (0.0713) loss_contra: 0.0000 (0.0007) time: 2.6901 data: 0.0025 max mem: 31671 Epoch: [39] [2020/5278] eta: 2:27:21 lr: 1.1706566797665783e-06 loss: 0.0271 (0.0295) loss_seg: 0.0290 (0.0315) loss_lansim: 0.0690 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6967 data: 0.0025 max mem: 31671 Epoch: [39] [2030/5278] eta: 2:26:54 lr: 1.167421331480648e-06 loss: 0.0271 (0.0295) loss_seg: 0.0290 (0.0315) loss_lansim: 0.0690 (0.0713) loss_contra: 0.0000 (0.0007) time: 2.7095 data: 0.0026 max mem: 31671 Epoch: [39] [2040/5278] eta: 2:26:26 lr: 1.164184986628067e-06 loss: 0.0273 (0.0295) loss_seg: 0.0290 (0.0315) loss_lansim: 0.0690 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6751 data: 0.0025 max mem: 31671 Epoch: [39] [2050/5278] eta: 2:25:56 lr: 1.1609476418217682e-06 loss: 0.0278 (0.0295) loss_seg: 0.0289 (0.0315) loss_lansim: 0.0695 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6515 data: 0.0025 max mem: 31671 Epoch: [39] [2060/5278] eta: 2:25:27 lr: 1.157709293652616e-06 loss: 0.0281 (0.0295) loss_seg: 0.0295 (0.0315) loss_lansim: 0.0689 (0.0713) loss_contra: 0.0000 (0.0007) time: 2.6430 data: 0.0024 max mem: 31671 Epoch: [39] [2070/5278] eta: 2:24:58 lr: 1.1544699386892402e-06 loss: 0.0270 (0.0295) loss_seg: 0.0289 (0.0315) loss_lansim: 0.0684 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6393 data: 0.0024 max mem: 31671 Epoch: [39] [2080/5278] eta: 2:24:29 lr: 1.1512295734777902e-06 loss: 0.0263 (0.0295) loss_seg: 0.0287 (0.0315) loss_lansim: 0.0681 (0.0713) loss_contra: 0.0000 (0.0007) time: 2.6346 data: 0.0024 max mem: 31671 Epoch: [39] [2090/5278] eta: 2:24:02 lr: 1.1479881945417324e-06 loss: 0.0261 (0.0295) loss_seg: 0.0279 (0.0315) loss_lansim: 0.0699 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6533 data: 0.0024 max mem: 31671 Epoch: [39] [2100/5278] eta: 2:23:35 lr: 1.144745798381598e-06 loss: 0.0263 (0.0295) loss_seg: 0.0287 (0.0315) loss_lansim: 0.0715 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6548 data: 0.0025 max mem: 31671 Epoch: [39] [2110/5278] eta: 2:23:07 lr: 1.1415023814748067e-06 loss: 0.0263 (0.0295) loss_seg: 0.0287 (0.0315) loss_lansim: 0.0720 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6541 data: 0.0025 max mem: 31671 Epoch: [39] [2120/5278] eta: 2:22:40 lr: 1.1382579402754082e-06 loss: 0.0263 (0.0296) loss_seg: 0.0284 (0.0316) loss_lansim: 0.0712 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6496 data: 0.0025 max mem: 31671 Epoch: [39] [2130/5278] eta: 2:22:12 lr: 1.1350124712138696e-06 loss: 0.0266 (0.0296) loss_seg: 0.0285 (0.0316) loss_lansim: 0.0731 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6369 data: 0.0025 max mem: 31671 Epoch: [39] [2140/5278] eta: 2:21:44 lr: 1.131765970696811e-06 loss: 0.0270 (0.0296) loss_seg: 0.0290 (0.0317) loss_lansim: 0.0732 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6421 data: 0.0025 max mem: 31671 Epoch: [39] [2150/5278] eta: 2:21:16 lr: 1.1285184351068163e-06 loss: 0.0278 (0.0297) loss_seg: 0.0292 (0.0317) loss_lansim: 0.0734 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6495 data: 0.0026 max mem: 31671 Epoch: [39] [2160/5278] eta: 2:20:48 lr: 1.1252698608021643e-06 loss: 0.0278 (0.0297) loss_seg: 0.0292 (0.0317) loss_lansim: 0.0743 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6545 data: 0.0026 max mem: 31671 Epoch: [39] [2170/5278] eta: 2:20:20 lr: 1.1220202441166027e-06 loss: 0.0281 (0.0296) loss_seg: 0.0295 (0.0317) loss_lansim: 0.0741 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6627 data: 0.0026 max mem: 31671 Epoch: [39] [2180/5278] eta: 2:19:52 lr: 1.1187695813590717e-06 loss: 0.0281 (0.0298) loss_seg: 0.0299 (0.0318) loss_lansim: 0.0743 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6699 data: 0.0026 max mem: 31671 Epoch: [39] [2190/5278] eta: 2:19:28 lr: 1.1155178688135023e-06 loss: 0.0278 (0.0297) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0728 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6889 data: 0.0026 max mem: 31671 Epoch: [39] [2200/5278] eta: 2:19:02 lr: 1.112265102738534e-06 loss: 0.0273 (0.0297) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0728 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6979 data: 0.0027 max mem: 31671 Epoch: [39] [2210/5278] eta: 2:18:34 lr: 1.1090112793672754e-06 loss: 0.0273 (0.0298) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6951 data: 0.0027 max mem: 31671 Epoch: [39] [2220/5278] eta: 2:18:05 lr: 1.1057563949070165e-06 loss: 0.0278 (0.0298) loss_seg: 0.0298 (0.0318) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6843 data: 0.0027 max mem: 31671 Epoch: [39] [2230/5278] eta: 2:17:37 lr: 1.1025004455390107e-06 loss: 0.0277 (0.0298) loss_seg: 0.0297 (0.0318) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6862 data: 0.0027 max mem: 31671 Epoch: [39] [2240/5278] eta: 2:17:10 lr: 1.0992434274181817e-06 loss: 0.0273 (0.0298) loss_seg: 0.0285 (0.0318) loss_lansim: 0.0702 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6838 data: 0.0027 max mem: 31671 Epoch: [39] [2250/5278] eta: 2:16:41 lr: 1.0959853366728598e-06 loss: 0.0261 (0.0297) loss_seg: 0.0281 (0.0318) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6810 data: 0.0027 max mem: 31671 Epoch: [39] [2260/5278] eta: 2:16:12 lr: 1.0927261694045193e-06 loss: 0.0263 (0.0297) loss_seg: 0.0285 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6776 data: 0.0027 max mem: 31671 Epoch: [39] [2270/5278] eta: 2:15:47 lr: 1.0894659216874702e-06 loss: 0.0273 (0.0298) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6924 data: 0.0027 max mem: 31671 Epoch: [39] [2280/5278] eta: 2:15:25 lr: 1.0862045895686258e-06 loss: 0.0264 (0.0298) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7368 data: 0.0028 max mem: 31671 Epoch: [39] [2290/5278] eta: 2:14:57 lr: 1.082942169067187e-06 loss: 0.0281 (0.0298) loss_seg: 0.0292 (0.0318) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7139 data: 0.0028 max mem: 31671 Epoch: [39] [2300/5278] eta: 2:14:28 lr: 1.0796786561743711e-06 loss: 0.0268 (0.0297) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6916 data: 0.0027 max mem: 31671 Epoch: [39] [2310/5278] eta: 2:14:01 lr: 1.076414046853089e-06 loss: 0.0268 (0.0297) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6968 data: 0.0028 max mem: 31671 Epoch: [39] [2320/5278] eta: 2:13:33 lr: 1.0731483370376951e-06 loss: 0.0263 (0.0297) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7024 data: 0.0028 max mem: 31671 Epoch: [39] [2330/5278] eta: 2:13:06 lr: 1.069881522633659e-06 loss: 0.0268 (0.0297) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7030 data: 0.0028 max mem: 31671 Epoch: [39] [2340/5278] eta: 2:12:37 lr: 1.0666135995172747e-06 loss: 0.0263 (0.0297) loss_seg: 0.0287 (0.0317) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6954 data: 0.0027 max mem: 31671 Epoch: [39] [2350/5278] eta: 2:12:08 lr: 1.0633445635353232e-06 loss: 0.0274 (0.0297) loss_seg: 0.0287 (0.0317) loss_lansim: 0.0720 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6918 data: 0.0027 max mem: 31671 Epoch: [39] [2360/5278] eta: 2:11:40 lr: 1.0600744105048055e-06 loss: 0.0275 (0.0297) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6985 data: 0.0027 max mem: 31671 Epoch: [39] [2370/5278] eta: 2:11:14 lr: 1.0568031362125955e-06 loss: 0.0274 (0.0297) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6887 data: 0.0028 max mem: 31671 Epoch: [39] [2380/5278] eta: 2:10:46 lr: 1.0535307364151343e-06 loss: 0.0275 (0.0297) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6443 data: 0.0027 max mem: 31671 Epoch: [39] [2390/5278] eta: 2:10:17 lr: 1.0502572068380727e-06 loss: 0.0271 (0.0297) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6307 data: 0.0027 max mem: 31671 Epoch: [39] [2400/5278] eta: 2:09:48 lr: 1.0469825431759884e-06 loss: 0.0280 (0.0297) loss_seg: 0.0297 (0.0318) loss_lansim: 0.0699 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6347 data: 0.0027 max mem: 31671 Epoch: [39] [2410/5278] eta: 2:09:21 lr: 1.0437067410920183e-06 loss: 0.0285 (0.0297) loss_seg: 0.0300 (0.0318) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6352 data: 0.0027 max mem: 31671 Epoch: [39] [2420/5278] eta: 2:08:55 lr: 1.0404297962175358e-06 loss: 0.0285 (0.0297) loss_seg: 0.0300 (0.0318) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6446 data: 0.0027 max mem: 31671 Epoch: [39] [2430/5278] eta: 2:08:27 lr: 1.0371517041517736e-06 loss: 0.0285 (0.0297) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0711 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6404 data: 0.0027 max mem: 31671 Epoch: [39] [2440/5278] eta: 2:07:59 lr: 1.0338724604615216e-06 loss: 0.0287 (0.0297) loss_seg: 0.0303 (0.0318) loss_lansim: 0.0709 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6498 data: 0.0027 max mem: 31671 Epoch: [39] [2450/5278] eta: 2:07:32 lr: 1.0305920606807395e-06 loss: 0.0288 (0.0297) loss_seg: 0.0306 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6638 data: 0.0027 max mem: 31671 Epoch: [39] [2460/5278] eta: 2:07:04 lr: 1.0273105003102145e-06 loss: 0.0286 (0.0297) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6604 data: 0.0026 max mem: 31671 Epoch: [39] [2470/5278] eta: 2:06:37 lr: 1.0240277748171628e-06 loss: 0.0287 (0.0297) loss_seg: 0.0303 (0.0318) loss_lansim: 0.0694 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6561 data: 0.0026 max mem: 31671 Epoch: [39] [2480/5278] eta: 2:06:13 lr: 1.0207438796349076e-06 loss: 0.0286 (0.0297) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0704 (0.0714) loss_contra: 0.0000 (0.0007) time: 2.6854 data: 0.0027 max mem: 31671 Epoch: [39] [2490/5278] eta: 2:05:47 lr: 1.01745881016247e-06 loss: 0.0286 (0.0297) loss_seg: 0.0307 (0.0318) loss_lansim: 0.0709 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7124 data: 0.0027 max mem: 31671 Epoch: [39] [2500/5278] eta: 2:05:19 lr: 1.0141725617641968e-06 loss: 0.0282 (0.0297) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7161 data: 0.0027 max mem: 31671 Epoch: [39] [2510/5278] eta: 2:04:51 lr: 1.0108851297693817e-06 loss: 0.0273 (0.0297) loss_seg: 0.0298 (0.0318) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7073 data: 0.0026 max mem: 31671 Epoch: [39] [2520/5278] eta: 2:04:23 lr: 1.0075965094718387e-06 loss: 0.0282 (0.0297) loss_seg: 0.0307 (0.0318) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6925 data: 0.0026 max mem: 31671 Epoch: [39] [2530/5278] eta: 2:03:54 lr: 1.0043066961295526e-06 loss: 0.0282 (0.0297) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0709 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6874 data: 0.0026 max mem: 31671 Epoch: [39] [2540/5278] eta: 2:03:27 lr: 1.0010156849642422e-06 loss: 0.0288 (0.0297) loss_seg: 0.0316 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6879 data: 0.0026 max mem: 31671 Epoch: [39] [2550/5278] eta: 2:02:59 lr: 9.977234711609645e-07 loss: 0.0281 (0.0297) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6856 data: 0.0026 max mem: 31671 Epoch: [39] [2560/5278] eta: 2:02:33 lr: 9.94430049867668e-07 loss: 0.0276 (0.0297) loss_seg: 0.0300 (0.0318) loss_lansim: 0.0714 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6969 data: 0.0026 max mem: 31671 Epoch: [39] [2570/5278] eta: 2:02:05 lr: 9.91135416194815e-07 loss: 0.0276 (0.0297) loss_seg: 0.0300 (0.0318) loss_lansim: 0.0714 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6882 data: 0.0026 max mem: 31671 Epoch: [39] [2580/5278] eta: 2:01:37 lr: 9.878395652149218e-07 loss: 0.0281 (0.0298) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0714 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6563 data: 0.0025 max mem: 31671 Epoch: [39] [2590/5278] eta: 2:01:09 lr: 9.84542491962137e-07 loss: 0.0275 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6431 data: 0.0025 max mem: 31671 Epoch: [39] [2600/5278] eta: 2:00:41 lr: 9.812441914317682e-07 loss: 0.0276 (0.0298) loss_seg: 0.0299 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6393 data: 0.0025 max mem: 31671 Epoch: [39] [2610/5278] eta: 2:00:14 lr: 9.779446585798798e-07 loss: 0.0276 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6415 data: 0.0025 max mem: 31671 Epoch: [39] [2620/5278] eta: 1:59:46 lr: 9.746438883228035e-07 loss: 0.0274 (0.0297) loss_seg: 0.0291 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6512 data: 0.0025 max mem: 31671 Epoch: [39] [2630/5278] eta: 1:59:19 lr: 9.713418755366925e-07 loss: 0.0274 (0.0297) loss_seg: 0.0292 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6618 data: 0.0025 max mem: 31671 Epoch: [39] [2640/5278] eta: 1:58:51 lr: 9.68038615057018e-07 loss: 0.0273 (0.0298) loss_seg: 0.0291 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6559 data: 0.0026 max mem: 31671 Epoch: [39] [2650/5278] eta: 1:58:23 lr: 9.64734101678138e-07 loss: 0.0281 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6444 data: 0.0026 max mem: 31671 Epoch: [39] [2660/5278] eta: 1:57:56 lr: 9.614283301527815e-07 loss: 0.0273 (0.0298) loss_seg: 0.0291 (0.0318) loss_lansim: 0.0692 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6453 data: 0.0026 max mem: 31671 Epoch: [39] [2670/5278] eta: 1:57:29 lr: 9.581212951915705e-07 loss: 0.0267 (0.0298) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0693 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6482 data: 0.0026 max mem: 31671 Epoch: [39] [2680/5278] eta: 1:57:01 lr: 9.548129914624878e-07 loss: 0.0267 (0.0298) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0696 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6467 data: 0.0026 max mem: 31671 Epoch: [39] [2690/5278] eta: 1:56:32 lr: 9.51503413590415e-07 loss: 0.0281 (0.0298) loss_seg: 0.0293 (0.0318) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6369 data: 0.0026 max mem: 31671 Epoch: [39] [2700/5278] eta: 1:56:05 lr: 9.481925561565842e-07 loss: 0.0267 (0.0298) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6423 data: 0.0026 max mem: 31671 Epoch: [39] [2710/5278] eta: 1:55:38 lr: 9.448804136980692e-07 loss: 0.0262 (0.0298) loss_seg: 0.0285 (0.0318) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6516 data: 0.0025 max mem: 31671 Epoch: [39] [2720/5278] eta: 1:55:11 lr: 9.415669807072206e-07 loss: 0.0263 (0.0298) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6527 data: 0.0026 max mem: 31671 Epoch: [39] [2730/5278] eta: 1:54:44 lr: 9.3825225163117e-07 loss: 0.0262 (0.0298) loss_seg: 0.0282 (0.0318) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6553 data: 0.0026 max mem: 31671 Epoch: [39] [2740/5278] eta: 1:54:16 lr: 9.349362208712484e-07 loss: 0.0263 (0.0298) loss_seg: 0.0285 (0.0318) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6527 data: 0.0026 max mem: 31671 Epoch: [39] [2750/5278] eta: 1:53:48 lr: 9.316188827824347e-07 loss: 0.0263 (0.0298) loss_seg: 0.0281 (0.0318) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6560 data: 0.0025 max mem: 31671 Epoch: [39] [2760/5278] eta: 1:53:20 lr: 9.283002316727943e-07 loss: 0.0270 (0.0298) loss_seg: 0.0285 (0.0318) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6428 data: 0.0025 max mem: 31671 Epoch: [39] [2770/5278] eta: 1:52:53 lr: 9.249802618028699e-07 loss: 0.0270 (0.0298) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6406 data: 0.0025 max mem: 31671 Epoch: [39] [2780/5278] eta: 1:52:25 lr: 9.216589673851411e-07 loss: 0.0271 (0.0298) loss_seg: 0.0285 (0.0318) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6457 data: 0.0025 max mem: 31671 Epoch: [39] [2790/5278] eta: 1:51:58 lr: 9.183363425833957e-07 loss: 0.0263 (0.0298) loss_seg: 0.0281 (0.0318) loss_lansim: 0.0717 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6564 data: 0.0026 max mem: 31671 Epoch: [39] [2800/5278] eta: 1:51:34 lr: 9.150123815121389e-07 loss: 0.0260 (0.0298) loss_seg: 0.0277 (0.0318) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6935 data: 0.0026 max mem: 31671 Epoch: [39] [2810/5278] eta: 1:51:09 lr: 9.116870782359444e-07 loss: 0.0276 (0.0298) loss_seg: 0.0296 (0.0318) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.7109 data: 0.0026 max mem: 31671 Epoch: [39] [2820/5278] eta: 1:50:41 lr: 9.083604267688743e-07 loss: 0.0270 (0.0297) loss_seg: 0.0281 (0.0318) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6999 data: 0.0026 max mem: 31671 Epoch: [39] [2830/5278] eta: 1:50:13 lr: 9.050324210738107e-07 loss: 0.0271 (0.0297) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6856 data: 0.0026 max mem: 31671 Epoch: [39] [2840/5278] eta: 1:49:44 lr: 9.017030550618215e-07 loss: 0.0272 (0.0298) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6825 data: 0.0026 max mem: 31671 Epoch: [39] [2850/5278] eta: 1:49:18 lr: 8.983723225914712e-07 loss: 0.0266 (0.0298) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0692 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7026 data: 0.0026 max mem: 31671 Epoch: [39] [2860/5278] eta: 1:48:51 lr: 8.950402174681965e-07 loss: 0.0263 (0.0298) loss_seg: 0.0281 (0.0318) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7126 data: 0.0026 max mem: 31671 Epoch: [39] [2870/5278] eta: 1:48:23 lr: 8.917067334435936e-07 loss: 0.0272 (0.0298) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7078 data: 0.0026 max mem: 31671 Epoch: [39] [2880/5278] eta: 1:47:56 lr: 8.883718642147404e-07 loss: 0.0266 (0.0298) loss_seg: 0.0287 (0.0318) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7150 data: 0.0027 max mem: 31671 Epoch: [39] [2890/5278] eta: 1:47:29 lr: 8.85035603423459e-07 loss: 0.0268 (0.0298) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0690 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7079 data: 0.0027 max mem: 31671 Epoch: [39] [2900/5278] eta: 1:47:02 lr: 8.816979446556465e-07 loss: 0.0275 (0.0298) loss_seg: 0.0290 (0.0318) loss_lansim: 0.0692 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6800 data: 0.0027 max mem: 31671 Epoch: [39] [2910/5278] eta: 1:46:34 lr: 8.783588814405129e-07 loss: 0.0264 (0.0297) loss_seg: 0.0279 (0.0318) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6497 data: 0.0026 max mem: 31671 Epoch: [39] [2920/5278] eta: 1:46:07 lr: 8.750184072498549e-07 loss: 0.0274 (0.0297) loss_seg: 0.0290 (0.0318) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0007) time: 2.6557 data: 0.0027 max mem: 31671 Epoch: [39] [2930/5278] eta: 1:45:39 lr: 8.716765154972686e-07 loss: 0.0274 (0.0297) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6611 data: 0.0026 max mem: 31671 Epoch: [39] [2940/5278] eta: 1:45:11 lr: 8.683331995374283e-07 loss: 0.0275 (0.0297) loss_seg: 0.0290 (0.0318) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6638 data: 0.0027 max mem: 31671 Epoch: [39] [2950/5278] eta: 1:44:44 lr: 8.649884526652729e-07 loss: 0.0275 (0.0297) loss_seg: 0.0290 (0.0318) loss_lansim: 0.0714 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6453 data: 0.0026 max mem: 31671 Epoch: [39] [2960/5278] eta: 1:44:16 lr: 8.616422681152262e-07 loss: 0.0276 (0.0297) loss_seg: 0.0291 (0.0318) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6390 data: 0.0027 max mem: 31671 Epoch: [39] [2970/5278] eta: 1:43:48 lr: 8.582946390603547e-07 loss: 0.0275 (0.0297) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6360 data: 0.0027 max mem: 31671 Epoch: [39] [2980/5278] eta: 1:43:21 lr: 8.549455586115912e-07 loss: 0.0272 (0.0297) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6352 data: 0.0026 max mem: 31671 Epoch: [39] [2990/5278] eta: 1:42:54 lr: 8.515950198168636e-07 loss: 0.0276 (0.0298) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6367 data: 0.0026 max mem: 31671 Epoch: [39] [3000/5278] eta: 1:42:27 lr: 8.482430156602491e-07 loss: 0.0288 (0.0298) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6298 data: 0.0026 max mem: 31671 Epoch: [39] [3010/5278] eta: 1:41:59 lr: 8.448895390611125e-07 loss: 0.0287 (0.0297) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6297 data: 0.0026 max mem: 31671 Epoch: [39] [3020/5278] eta: 1:41:32 lr: 8.415345828731897e-07 loss: 0.0276 (0.0297) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6413 data: 0.0026 max mem: 31671 Epoch: [39] [3030/5278] eta: 1:41:06 lr: 8.38178139883733e-07 loss: 0.0276 (0.0297) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6502 data: 0.0026 max mem: 31671 Epoch: [39] [3040/5278] eta: 1:40:38 lr: 8.348202028125623e-07 loss: 0.0271 (0.0297) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6592 data: 0.0026 max mem: 31671 Epoch: [39] [3050/5278] eta: 1:40:11 lr: 8.314607643111464e-07 loss: 0.0271 (0.0297) loss_seg: 0.0288 (0.0317) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6619 data: 0.0027 max mem: 31671 Epoch: [39] [3060/5278] eta: 1:39:44 lr: 8.280998169616196e-07 loss: 0.0280 (0.0297) loss_seg: 0.0301 (0.0318) loss_lansim: 0.0717 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6691 data: 0.0027 max mem: 31671 Epoch: [39] [3070/5278] eta: 1:39:17 lr: 8.247373532758591e-07 loss: 0.0271 (0.0297) loss_seg: 0.0294 (0.0317) loss_lansim: 0.0727 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6777 data: 0.0027 max mem: 31671 Epoch: [39] [3080/5278] eta: 1:38:49 lr: 8.213733656944667e-07 loss: 0.0280 (0.0297) loss_seg: 0.0301 (0.0318) loss_lansim: 0.0717 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6701 data: 0.0027 max mem: 31671 Epoch: [39] [3090/5278] eta: 1:38:21 lr: 8.180078465857786e-07 loss: 0.0276 (0.0297) loss_seg: 0.0296 (0.0317) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6625 data: 0.0027 max mem: 31671 Epoch: [39] [3100/5278] eta: 1:37:53 lr: 8.146407882448086e-07 loss: 0.0272 (0.0297) loss_seg: 0.0296 (0.0317) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6456 data: 0.0027 max mem: 31671 Epoch: [39] [3110/5278] eta: 1:37:25 lr: 8.112721828922523e-07 loss: 0.0278 (0.0297) loss_seg: 0.0297 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6427 data: 0.0027 max mem: 31671 Epoch: [39] [3120/5278] eta: 1:36:58 lr: 8.079020226733913e-07 loss: 0.0278 (0.0297) loss_seg: 0.0297 (0.0317) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6336 data: 0.0027 max mem: 31671 Epoch: [39] [3130/5278] eta: 1:36:31 lr: 8.045302996570246e-07 loss: 0.0279 (0.0297) loss_seg: 0.0299 (0.0317) loss_lansim: 0.0698 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6300 data: 0.0027 max mem: 31671 Epoch: [39] [3140/5278] eta: 1:36:04 lr: 8.011570058343333e-07 loss: 0.0291 (0.0297) loss_seg: 0.0306 (0.0318) loss_lansim: 0.0694 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6284 data: 0.0027 max mem: 31671 Epoch: [39] [3150/5278] eta: 1:35:37 lr: 7.977821331178012e-07 loss: 0.0286 (0.0298) loss_seg: 0.0305 (0.0318) loss_lansim: 0.0685 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6299 data: 0.0026 max mem: 31671 Epoch: [39] [3160/5278] eta: 1:35:09 lr: 7.944056733400361e-07 loss: 0.0279 (0.0298) loss_seg: 0.0301 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6242 data: 0.0026 max mem: 31671 Epoch: [39] [3170/5278] eta: 1:34:42 lr: 7.910276182526156e-07 loss: 0.0279 (0.0298) loss_seg: 0.0301 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6192 data: 0.0026 max mem: 31671 Epoch: [39] [3180/5278] eta: 1:34:13 lr: 7.876479595248627e-07 loss: 0.0278 (0.0298) loss_seg: 0.0297 (0.0318) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6070 data: 0.0026 max mem: 31671 Epoch: [39] [3190/5278] eta: 1:33:46 lr: 7.842666887426778e-07 loss: 0.0283 (0.0298) loss_seg: 0.0299 (0.0318) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6078 data: 0.0026 max mem: 31671 Epoch: [39] [3200/5278] eta: 1:33:18 lr: 7.808837974072667e-07 loss: 0.0286 (0.0298) loss_seg: 0.0301 (0.0318) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6210 data: 0.0026 max mem: 31671 Epoch: [39] [3210/5278] eta: 1:32:51 lr: 7.774992769338927e-07 loss: 0.0287 (0.0298) loss_seg: 0.0301 (0.0318) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6247 data: 0.0027 max mem: 31671 Epoch: [39] [3220/5278] eta: 1:32:24 lr: 7.741131186505548e-07 loss: 0.0288 (0.0298) loss_seg: 0.0304 (0.0318) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6292 data: 0.0027 max mem: 31671 Epoch: [39] [3230/5278] eta: 1:31:57 lr: 7.707253137967211e-07 loss: 0.0288 (0.0298) loss_seg: 0.0304 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6251 data: 0.0027 max mem: 31671 Epoch: [39] [3240/5278] eta: 1:31:30 lr: 7.673358535219546e-07 loss: 0.0287 (0.0298) loss_seg: 0.0306 (0.0318) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6280 data: 0.0026 max mem: 31671 Epoch: [39] [3250/5278] eta: 1:31:03 lr: 7.639447288845535e-07 loss: 0.0288 (0.0298) loss_seg: 0.0313 (0.0319) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6304 data: 0.0027 max mem: 31671 Epoch: [39] [3260/5278] eta: 1:30:36 lr: 7.605519308501625e-07 loss: 0.0288 (0.0298) loss_seg: 0.0314 (0.0319) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6322 data: 0.0026 max mem: 31671 Epoch: [39] [3270/5278] eta: 1:30:08 lr: 7.571574502903171e-07 loss: 0.0292 (0.0298) loss_seg: 0.0316 (0.0319) loss_lansim: 0.0698 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6357 data: 0.0026 max mem: 31671 Epoch: [39] [3280/5278] eta: 1:29:41 lr: 7.53761277981037e-07 loss: 0.0306 (0.0298) loss_seg: 0.0319 (0.0319) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6446 data: 0.0026 max mem: 31671 Epoch: [39] [3290/5278] eta: 1:29:14 lr: 7.503634046013109e-07 loss: 0.0308 (0.0299) loss_seg: 0.0320 (0.0319) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6544 data: 0.0026 max mem: 31671 Epoch: [39] [3300/5278] eta: 1:28:46 lr: 7.46963820731599e-07 loss: 0.0292 (0.0298) loss_seg: 0.0316 (0.0319) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6502 data: 0.0026 max mem: 31671 Epoch: [39] [3310/5278] eta: 1:28:20 lr: 7.435625168522547e-07 loss: 0.0291 (0.0298) loss_seg: 0.0316 (0.0319) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6604 data: 0.0026 max mem: 31671 Epoch: [39] [3320/5278] eta: 1:27:52 lr: 7.401594833419956e-07 loss: 0.0289 (0.0299) loss_seg: 0.0316 (0.0319) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6497 data: 0.0026 max mem: 31671 Epoch: [39] [3330/5278] eta: 1:27:25 lr: 7.367547104762596e-07 loss: 0.0287 (0.0298) loss_seg: 0.0314 (0.0319) loss_lansim: 0.0703 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6577 data: 0.0026 max mem: 31671 Epoch: [39] [3340/5278] eta: 1:26:58 lr: 7.333481884255779e-07 loss: 0.0280 (0.0298) loss_seg: 0.0306 (0.0319) loss_lansim: 0.0706 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6553 data: 0.0026 max mem: 31671 Epoch: [39] [3350/5278] eta: 1:26:31 lr: 7.299399072538613e-07 loss: 0.0280 (0.0298) loss_seg: 0.0298 (0.0319) loss_lansim: 0.0707 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6473 data: 0.0026 max mem: 31671 Epoch: [39] [3360/5278] eta: 1:26:03 lr: 7.26529856916735e-07 loss: 0.0286 (0.0298) loss_seg: 0.0306 (0.0319) loss_lansim: 0.0692 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6366 data: 0.0026 max mem: 31671 Epoch: [39] [3370/5278] eta: 1:25:36 lr: 7.231180272597533e-07 loss: 0.0277 (0.0299) loss_seg: 0.0296 (0.0319) loss_lansim: 0.0706 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6356 data: 0.0026 max mem: 31671 Epoch: [39] [3380/5278] eta: 1:25:09 lr: 7.197044080166263e-07 loss: 0.0280 (0.0299) loss_seg: 0.0303 (0.0319) loss_lansim: 0.0696 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6519 data: 0.0026 max mem: 31671 Epoch: [39] [3390/5278] eta: 1:24:42 lr: 7.162889888073593e-07 loss: 0.0271 (0.0299) loss_seg: 0.0289 (0.0319) loss_lansim: 0.0695 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6413 data: 0.0026 max mem: 31671 Epoch: [39] [3400/5278] eta: 1:24:14 lr: 7.128717591364334e-07 loss: 0.0268 (0.0299) loss_seg: 0.0284 (0.0319) loss_lansim: 0.0696 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6434 data: 0.0026 max mem: 31671 Epoch: [39] [3410/5278] eta: 1:23:47 lr: 7.094527083908639e-07 loss: 0.0279 (0.0299) loss_seg: 0.0289 (0.0319) loss_lansim: 0.0695 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6311 data: 0.0026 max mem: 31671 Epoch: [39] [3420/5278] eta: 1:23:20 lr: 7.060318258382657e-07 loss: 0.0271 (0.0298) loss_seg: 0.0287 (0.0319) loss_lansim: 0.0701 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6419 data: 0.0026 max mem: 31671 Epoch: [39] [3430/5278] eta: 1:22:53 lr: 7.026091006248272e-07 loss: 0.0280 (0.0299) loss_seg: 0.0298 (0.0319) loss_lansim: 0.0700 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6355 data: 0.0026 max mem: 31671 Epoch: [39] [3440/5278] eta: 1:22:26 lr: 6.991845217733207e-07 loss: 0.0281 (0.0299) loss_seg: 0.0303 (0.0319) loss_lansim: 0.0700 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6294 data: 0.0026 max mem: 31671 Epoch: [39] [3450/5278] eta: 1:21:58 lr: 6.957580781809857e-07 loss: 0.0280 (0.0298) loss_seg: 0.0298 (0.0319) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6306 data: 0.0026 max mem: 31671 Epoch: [39] [3460/5278] eta: 1:21:31 lr: 6.923297586174155e-07 loss: 0.0272 (0.0298) loss_seg: 0.0287 (0.0319) loss_lansim: 0.0722 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6424 data: 0.0026 max mem: 31671 Epoch: [39] [3470/5278] eta: 1:21:04 lr: 6.888995517223455e-07 loss: 0.0263 (0.0298) loss_seg: 0.0278 (0.0319) loss_lansim: 0.0727 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6394 data: 0.0026 max mem: 31671 Epoch: [39] [3480/5278] eta: 1:20:37 lr: 6.854674460034744e-07 loss: 0.0261 (0.0298) loss_seg: 0.0273 (0.0319) loss_lansim: 0.0727 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6288 data: 0.0026 max mem: 31671 Epoch: [39] [3490/5278] eta: 1:20:10 lr: 6.820334298341522e-07 loss: 0.0255 (0.0298) loss_seg: 0.0270 (0.0319) loss_lansim: 0.0719 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6410 data: 0.0026 max mem: 31671 Epoch: [39] [3500/5278] eta: 1:19:43 lr: 6.78597491451058e-07 loss: 0.0268 (0.0298) loss_seg: 0.0286 (0.0319) loss_lansim: 0.0717 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6525 data: 0.0026 max mem: 31671 Epoch: [39] [3510/5278] eta: 1:19:16 lr: 6.751596189518221e-07 loss: 0.0267 (0.0298) loss_seg: 0.0279 (0.0319) loss_lansim: 0.0721 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6638 data: 0.0026 max mem: 31671 Epoch: [39] [3520/5278] eta: 1:18:50 lr: 6.717198002925544e-07 loss: 0.0262 (0.0298) loss_seg: 0.0270 (0.0318) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6623 data: 0.0026 max mem: 31671 Epoch: [39] [3530/5278] eta: 1:18:22 lr: 6.682780232853949e-07 loss: 0.0248 (0.0298) loss_seg: 0.0264 (0.0318) loss_lansim: 0.0693 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6540 data: 0.0026 max mem: 31671 Epoch: [39] [3540/5278] eta: 1:17:55 lr: 6.648342755959256e-07 loss: 0.0254 (0.0298) loss_seg: 0.0268 (0.0318) loss_lansim: 0.0697 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6575 data: 0.0025 max mem: 31671 Epoch: [39] [3550/5278] eta: 1:17:28 lr: 6.613885447405705e-07 loss: 0.0268 (0.0299) loss_seg: 0.0279 (0.0320) loss_lansim: 0.0700 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6563 data: 0.0026 max mem: 31671 Epoch: [39] [3560/5278] eta: 1:17:00 lr: 6.579408180838851e-07 loss: 0.0271 (0.0299) loss_seg: 0.0287 (0.0319) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6463 data: 0.0026 max mem: 31671 Epoch: [39] [3570/5278] eta: 1:16:34 lr: 6.54491082835862e-07 loss: 0.0277 (0.0299) loss_seg: 0.0295 (0.0320) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6696 data: 0.0026 max mem: 31671 Epoch: [39] [3580/5278] eta: 1:16:07 lr: 6.510393260490904e-07 loss: 0.0283 (0.0299) loss_seg: 0.0298 (0.0320) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6672 data: 0.0026 max mem: 31671 Epoch: [39] [3590/5278] eta: 1:15:39 lr: 6.475855346158966e-07 loss: 0.0284 (0.0299) loss_seg: 0.0299 (0.0320) loss_lansim: 0.0708 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6597 data: 0.0026 max mem: 31671 Epoch: [39] [3600/5278] eta: 1:15:12 lr: 6.441296952653652e-07 loss: 0.0286 (0.0299) loss_seg: 0.0310 (0.0320) loss_lansim: 0.0706 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6514 data: 0.0027 max mem: 31671 Epoch: [39] [3610/5278] eta: 1:14:45 lr: 6.406717945603697e-07 loss: 0.0290 (0.0300) loss_seg: 0.0310 (0.0320) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6509 data: 0.0027 max mem: 31671 Epoch: [39] [3620/5278] eta: 1:14:18 lr: 6.372118188944476e-07 loss: 0.0294 (0.0300) loss_seg: 0.0313 (0.0320) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6412 data: 0.0026 max mem: 31671 Epoch: [39] [3630/5278] eta: 1:13:51 lr: 6.337497544886478e-07 loss: 0.0298 (0.0300) loss_seg: 0.0317 (0.0320) loss_lansim: 0.0719 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6448 data: 0.0026 max mem: 31671 Epoch: [39] [3640/5278] eta: 1:13:24 lr: 6.302855873882505e-07 loss: 0.0295 (0.0300) loss_seg: 0.0317 (0.0320) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6438 data: 0.0027 max mem: 31671 Epoch: [39] [3650/5278] eta: 1:12:57 lr: 6.268193034594864e-07 loss: 0.0294 (0.0300) loss_seg: 0.0317 (0.0320) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6467 data: 0.0026 max mem: 31671 Epoch: [39] [3660/5278] eta: 1:12:29 lr: 6.233508883860911e-07 loss: 0.0295 (0.0300) loss_seg: 0.0317 (0.0320) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6434 data: 0.0026 max mem: 31671 Epoch: [39] [3670/5278] eta: 1:12:02 lr: 6.198803276658223e-07 loss: 0.0299 (0.0300) loss_seg: 0.0321 (0.0320) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6186 data: 0.0026 max mem: 31671 Epoch: [39] [3680/5278] eta: 1:11:35 lr: 6.164076066068374e-07 loss: 0.0296 (0.0300) loss_seg: 0.0317 (0.0320) loss_lansim: 0.0720 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6198 data: 0.0026 max mem: 31671 Epoch: [39] [3690/5278] eta: 1:11:08 lr: 6.12932710324062e-07 loss: 0.0295 (0.0300) loss_seg: 0.0317 (0.0320) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6345 data: 0.0025 max mem: 31671 Epoch: [39] [3700/5278] eta: 1:10:42 lr: 6.094556237353797e-07 loss: 0.0290 (0.0300) loss_seg: 0.0310 (0.0320) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6497 data: 0.0026 max mem: 31671 Epoch: [39] [3710/5278] eta: 1:10:15 lr: 6.05976331557776e-07 loss: 0.0290 (0.0300) loss_seg: 0.0310 (0.0320) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6535 data: 0.0025 max mem: 31671 Epoch: [39] [3720/5278] eta: 1:09:48 lr: 6.024948183033276e-07 loss: 0.0283 (0.0299) loss_seg: 0.0289 (0.0320) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6705 data: 0.0026 max mem: 31671 Epoch: [39] [3730/5278] eta: 1:09:22 lr: 5.990110682751719e-07 loss: 0.0285 (0.0299) loss_seg: 0.0289 (0.0320) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6785 data: 0.0026 max mem: 31671 Epoch: [39] [3740/5278] eta: 1:08:55 lr: 5.955250655632853e-07 loss: 0.0284 (0.0299) loss_seg: 0.0282 (0.0320) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6860 data: 0.0026 max mem: 31671 Epoch: [39] [3750/5278] eta: 1:08:28 lr: 5.920367940401904e-07 loss: 0.0285 (0.0299) loss_seg: 0.0284 (0.0320) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6929 data: 0.0026 max mem: 31671 Epoch: [39] [3760/5278] eta: 1:08:01 lr: 5.885462373565486e-07 loss: 0.0265 (0.0299) loss_seg: 0.0282 (0.0320) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7076 data: 0.0026 max mem: 31671 Epoch: [39] [3770/5278] eta: 1:07:34 lr: 5.850533789365913e-07 loss: 0.0250 (0.0299) loss_seg: 0.0267 (0.0320) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7190 data: 0.0026 max mem: 31671 Epoch: [39] [3780/5278] eta: 1:07:07 lr: 5.815582019735101e-07 loss: 0.0247 (0.0299) loss_seg: 0.0261 (0.0320) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7246 data: 0.0026 max mem: 31671 Epoch: [39] [3790/5278] eta: 1:06:40 lr: 5.780606894246378e-07 loss: 0.0250 (0.0299) loss_seg: 0.0264 (0.0320) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7178 data: 0.0027 max mem: 31671 Epoch: [39] [3800/5278] eta: 1:06:14 lr: 5.745608240065456e-07 loss: 0.0262 (0.0299) loss_seg: 0.0275 (0.0320) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7114 data: 0.0027 max mem: 31671 Epoch: [39] [3810/5278] eta: 1:05:47 lr: 5.710585881899555e-07 loss: 0.0259 (0.0299) loss_seg: 0.0267 (0.0319) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7069 data: 0.0027 max mem: 31671 Epoch: [39] [3820/5278] eta: 1:05:20 lr: 5.675539641945929e-07 loss: 0.0263 (0.0299) loss_seg: 0.0280 (0.0319) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7029 data: 0.0027 max mem: 31671 Epoch: [39] [3830/5278] eta: 1:04:54 lr: 5.640469339838104e-07 loss: 0.0262 (0.0299) loss_seg: 0.0275 (0.0319) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7107 data: 0.0027 max mem: 31671 Epoch: [39] [3840/5278] eta: 1:04:27 lr: 5.605374792591103e-07 loss: 0.0261 (0.0299) loss_seg: 0.0269 (0.0319) loss_lansim: 0.0718 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7148 data: 0.0027 max mem: 31671 Epoch: [39] [3850/5278] eta: 1:04:00 lr: 5.570255814544608e-07 loss: 0.0263 (0.0299) loss_seg: 0.0280 (0.0319) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7098 data: 0.0027 max mem: 31671 Epoch: [39] [3860/5278] eta: 1:03:33 lr: 5.535112217305313e-07 loss: 0.0263 (0.0299) loss_seg: 0.0280 (0.0319) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7197 data: 0.0027 max mem: 31671 Epoch: [39] [3870/5278] eta: 1:03:07 lr: 5.499943809686779e-07 loss: 0.0268 (0.0299) loss_seg: 0.0288 (0.0320) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7227 data: 0.0027 max mem: 31671 Epoch: [39] [3880/5278] eta: 1:02:39 lr: 5.464750397648033e-07 loss: 0.0264 (0.0299) loss_seg: 0.0286 (0.0319) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7182 data: 0.0027 max mem: 31671 Epoch: [39] [3890/5278] eta: 1:02:13 lr: 5.429531784229877e-07 loss: 0.0265 (0.0299) loss_seg: 0.0285 (0.0319) loss_lansim: 0.0698 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7195 data: 0.0027 max mem: 31671 Epoch: [39] [3900/5278] eta: 1:01:46 lr: 5.394287769490127e-07 loss: 0.0268 (0.0299) loss_seg: 0.0286 (0.0319) loss_lansim: 0.0697 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7162 data: 0.0026 max mem: 31671 Epoch: [39] [3910/5278] eta: 1:01:19 lr: 5.359018150436107e-07 loss: 0.0266 (0.0299) loss_seg: 0.0286 (0.0319) loss_lansim: 0.0691 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7156 data: 0.0026 max mem: 31671 Epoch: [39] [3920/5278] eta: 1:00:52 lr: 5.323722720955602e-07 loss: 0.0268 (0.0299) loss_seg: 0.0288 (0.0319) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7119 data: 0.0026 max mem: 31671 Epoch: [39] [3930/5278] eta: 1:00:25 lr: 5.288401271745239e-07 loss: 0.0268 (0.0299) loss_seg: 0.0288 (0.0319) loss_lansim: 0.0691 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6978 data: 0.0026 max mem: 31671 Epoch: [39] [3940/5278] eta: 0:59:58 lr: 5.253053590237515e-07 loss: 0.0278 (0.0299) loss_seg: 0.0300 (0.0320) loss_lansim: 0.0693 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6896 data: 0.0026 max mem: 31671 Epoch: [39] [3950/5278] eta: 0:59:31 lr: 5.217679460524744e-07 loss: 0.0278 (0.0299) loss_seg: 0.0298 (0.0320) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6852 data: 0.0026 max mem: 31671 Epoch: [39] [3960/5278] eta: 0:59:04 lr: 5.182278663281168e-07 loss: 0.0278 (0.0299) loss_seg: 0.0304 (0.0319) loss_lansim: 0.0693 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6731 data: 0.0026 max mem: 31671 Epoch: [39] [3970/5278] eta: 0:58:37 lr: 5.146850975682125e-07 loss: 0.0277 (0.0299) loss_seg: 0.0297 (0.0319) loss_lansim: 0.0693 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6754 data: 0.0026 max mem: 31671 Epoch: [39] [3980/5278] eta: 0:58:10 lr: 5.111396171321543e-07 loss: 0.0278 (0.0299) loss_seg: 0.0303 (0.0319) loss_lansim: 0.0693 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6803 data: 0.0026 max mem: 31671 Epoch: [39] [3990/5278] eta: 0:57:43 lr: 5.07591402012595e-07 loss: 0.0278 (0.0299) loss_seg: 0.0303 (0.0319) loss_lansim: 0.0691 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6802 data: 0.0026 max mem: 31671 Epoch: [39] [4000/5278] eta: 0:57:17 lr: 5.040404288266194e-07 loss: 0.0278 (0.0299) loss_seg: 0.0297 (0.0319) loss_lansim: 0.0693 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6831 data: 0.0026 max mem: 31671 Epoch: [39] [4010/5278] eta: 0:56:50 lr: 5.004866738066318e-07 loss: 0.0280 (0.0299) loss_seg: 0.0303 (0.0319) loss_lansim: 0.0694 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6857 data: 0.0026 max mem: 31671 Epoch: [39] [4020/5278] eta: 0:56:23 lr: 4.969301127909052e-07 loss: 0.0278 (0.0299) loss_seg: 0.0297 (0.0319) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6828 data: 0.0026 max mem: 31671 Epoch: [39] [4030/5278] eta: 0:55:56 lr: 4.933707212139083e-07 loss: 0.0278 (0.0299) loss_seg: 0.0303 (0.0319) loss_lansim: 0.0698 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6804 data: 0.0026 max mem: 31671 Epoch: [39] [4040/5278] eta: 0:55:30 lr: 4.898084740962292e-07 loss: 0.0275 (0.0299) loss_seg: 0.0293 (0.0319) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7068 data: 0.0027 max mem: 31671 Epoch: [39] [4050/5278] eta: 0:55:03 lr: 4.862433460342146e-07 loss: 0.0277 (0.0299) loss_seg: 0.0293 (0.0319) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7185 data: 0.0027 max mem: 31671 Epoch: [39] [4060/5278] eta: 0:54:36 lr: 4.82675311189213e-07 loss: 0.0275 (0.0299) loss_seg: 0.0286 (0.0319) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7167 data: 0.0027 max mem: 31671 Epoch: [39] [4070/5278] eta: 0:54:09 lr: 4.79104343276541e-07 loss: 0.0278 (0.0298) loss_seg: 0.0302 (0.0319) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7093 data: 0.0027 max mem: 31671 Epoch: [39] [4080/5278] eta: 0:53:42 lr: 4.7553041555398696e-07 loss: 0.0277 (0.0298) loss_seg: 0.0293 (0.0319) loss_lansim: 0.0714 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7118 data: 0.0027 max mem: 31671 Epoch: [39] [4090/5278] eta: 0:53:15 lr: 4.719535008099743e-07 loss: 0.0267 (0.0298) loss_seg: 0.0291 (0.0319) loss_lansim: 0.0710 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7026 data: 0.0027 max mem: 31671 Epoch: [39] [4100/5278] eta: 0:52:48 lr: 4.683735713512637e-07 loss: 0.0258 (0.0298) loss_seg: 0.0277 (0.0319) loss_lansim: 0.0709 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7176 data: 0.0027 max mem: 31671 Epoch: [39] [4110/5278] eta: 0:52:22 lr: 4.647905989903118e-07 loss: 0.0266 (0.0298) loss_seg: 0.0292 (0.0319) loss_lansim: 0.0712 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7270 data: 0.0027 max mem: 31671 Epoch: [39] [4120/5278] eta: 0:51:55 lr: 4.6120455503210036e-07 loss: 0.0270 (0.0298) loss_seg: 0.0295 (0.0319) loss_lansim: 0.0703 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7305 data: 0.0027 max mem: 31671 Epoch: [39] [4130/5278] eta: 0:51:28 lr: 4.576154102605497e-07 loss: 0.0265 (0.0298) loss_seg: 0.0291 (0.0319) loss_lansim: 0.0699 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7494 data: 0.0027 max mem: 31671 Epoch: [39] [4140/5278] eta: 0:51:01 lr: 4.540231349243953e-07 loss: 0.0270 (0.0298) loss_seg: 0.0295 (0.0319) loss_lansim: 0.0703 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7211 data: 0.0026 max mem: 31671 Epoch: [39] [4150/5278] eta: 0:50:35 lr: 4.5042769872263986e-07 loss: 0.0271 (0.0298) loss_seg: 0.0297 (0.0319) loss_lansim: 0.0699 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7209 data: 0.0026 max mem: 31671 Epoch: [39] [4160/5278] eta: 0:50:08 lr: 4.4682907078939077e-07 loss: 0.0272 (0.0298) loss_seg: 0.0297 (0.0319) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7223 data: 0.0026 max mem: 31671 Epoch: [39] [4170/5278] eta: 0:49:41 lr: 4.4322721967819107e-07 loss: 0.0272 (0.0298) loss_seg: 0.0295 (0.0319) loss_lansim: 0.0698 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7225 data: 0.0026 max mem: 31671 Epoch: [39] [4180/5278] eta: 0:49:14 lr: 4.3962211334572015e-07 loss: 0.0272 (0.0298) loss_seg: 0.0295 (0.0319) loss_lansim: 0.0700 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7170 data: 0.0026 max mem: 31671 Epoch: [39] [4190/5278] eta: 0:48:47 lr: 4.3601371913496924e-07 loss: 0.0275 (0.0298) loss_seg: 0.0295 (0.0319) loss_lansim: 0.0701 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7265 data: 0.0026 max mem: 31671 Epoch: [39] [4200/5278] eta: 0:48:20 lr: 4.3240200375769664e-07 loss: 0.0283 (0.0298) loss_seg: 0.0307 (0.0319) loss_lansim: 0.0700 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7156 data: 0.0026 max mem: 31671 Epoch: [39] [4210/5278] eta: 0:47:53 lr: 4.2878693327626595e-07 loss: 0.0283 (0.0298) loss_seg: 0.0307 (0.0319) loss_lansim: 0.0701 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.7029 data: 0.0026 max mem: 31671 Epoch: [39] [4220/5278] eta: 0:47:26 lr: 4.2516847308473485e-07 loss: 0.0290 (0.0298) loss_seg: 0.0308 (0.0319) loss_lansim: 0.0715 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6985 data: 0.0026 max mem: 31671 Epoch: [39] [4230/5278] eta: 0:46:59 lr: 4.215465878892965e-07 loss: 0.0290 (0.0298) loss_seg: 0.0308 (0.0319) loss_lansim: 0.0716 (0.0714) loss_contra: 0.0000 (0.0008) time: 2.6861 data: 0.0026 max mem: 31671 Epoch: [39] [4240/5278] eta: 0:46:32 lr: 4.179212416878668e-07 loss: 0.0291 (0.0298) loss_seg: 0.0303 (0.0319) loss_lansim: 0.0716 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6941 data: 0.0026 max mem: 31671 Epoch: [39] [4250/5278] eta: 0:46:05 lr: 4.142923977489088e-07 loss: 0.0279 (0.0298) loss_seg: 0.0295 (0.0319) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6877 data: 0.0026 max mem: 31671 Epoch: [39] [4260/5278] eta: 0:45:39 lr: 4.1066001858941043e-07 loss: 0.0279 (0.0298) loss_seg: 0.0295 (0.0319) loss_lansim: 0.0711 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6942 data: 0.0027 max mem: 31671 Epoch: [39] [4270/5278] eta: 0:45:12 lr: 4.0702406595193144e-07 loss: 0.0271 (0.0298) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7001 data: 0.0027 max mem: 31671 Epoch: [39] [4280/5278] eta: 0:44:45 lr: 4.0338450078080134e-07 loss: 0.0276 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7012 data: 0.0027 max mem: 31671 Epoch: [39] [4290/5278] eta: 0:44:18 lr: 3.997412831972508e-07 loss: 0.0272 (0.0298) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0725 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6961 data: 0.0027 max mem: 31671 Epoch: [39] [4300/5278] eta: 0:43:51 lr: 3.960943724735623e-07 loss: 0.0271 (0.0298) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0733 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6902 data: 0.0027 max mem: 31671 Epoch: [39] [4310/5278] eta: 0:43:24 lr: 3.924437270060829e-07 loss: 0.0271 (0.0298) loss_seg: 0.0292 (0.0318) loss_lansim: 0.0733 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6855 data: 0.0027 max mem: 31671 Epoch: [39] [4320/5278] eta: 0:42:57 lr: 3.8878930428717937e-07 loss: 0.0271 (0.0298) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0733 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6872 data: 0.0027 max mem: 31671 Epoch: [39] [4330/5278] eta: 0:42:30 lr: 3.8513106087590315e-07 loss: 0.0272 (0.0298) loss_seg: 0.0292 (0.0318) loss_lansim: 0.0730 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6876 data: 0.0027 max mem: 31671 Epoch: [39] [4340/5278] eta: 0:42:03 lr: 3.814689523674377e-07 loss: 0.0272 (0.0298) loss_seg: 0.0293 (0.0318) loss_lansim: 0.0730 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6710 data: 0.0027 max mem: 31671 Epoch: [39] [4350/5278] eta: 0:41:36 lr: 3.778029333611552e-07 loss: 0.0272 (0.0298) loss_seg: 0.0294 (0.0318) loss_lansim: 0.0734 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6662 data: 0.0027 max mem: 31671 Epoch: [39] [4360/5278] eta: 0:41:09 lr: 3.741329574273477e-07 loss: 0.0270 (0.0298) loss_seg: 0.0292 (0.0318) loss_lansim: 0.0733 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6684 data: 0.0027 max mem: 31671 Epoch: [39] [4370/5278] eta: 0:40:42 lr: 3.704589770723811e-07 loss: 0.0285 (0.0298) loss_seg: 0.0300 (0.0318) loss_lansim: 0.0743 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6640 data: 0.0027 max mem: 31671 Epoch: [39] [4380/5278] eta: 0:40:15 lr: 3.6678094370232625e-07 loss: 0.0272 (0.0298) loss_seg: 0.0293 (0.0318) loss_lansim: 0.0744 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6663 data: 0.0027 max mem: 31671 Epoch: [39] [4390/5278] eta: 0:39:48 lr: 3.630988075848743e-07 loss: 0.0273 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0733 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6646 data: 0.0027 max mem: 31671 Epoch: [39] [4400/5278] eta: 0:39:22 lr: 3.594125178095781e-07 loss: 0.0272 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0726 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6761 data: 0.0027 max mem: 31671 Epoch: [39] [4410/5278] eta: 0:38:55 lr: 3.557220222461447e-07 loss: 0.0272 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6838 data: 0.0027 max mem: 31671 Epoch: [39] [4420/5278] eta: 0:38:28 lr: 3.520272675008083e-07 loss: 0.0269 (0.0298) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6821 data: 0.0027 max mem: 31671 Epoch: [39] [4430/5278] eta: 0:38:01 lr: 3.4832819887056116e-07 loss: 0.0269 (0.0298) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0694 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6808 data: 0.0027 max mem: 31671 Epoch: [39] [4440/5278] eta: 0:37:34 lr: 3.446247602952563e-07 loss: 0.0269 (0.0298) loss_seg: 0.0290 (0.0318) loss_lansim: 0.0692 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6929 data: 0.0027 max mem: 31671 Epoch: [39] [4450/5278] eta: 0:37:07 lr: 3.409168943072723e-07 loss: 0.0269 (0.0298) loss_seg: 0.0290 (0.0318) loss_lansim: 0.0689 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7076 data: 0.0027 max mem: 31671 Epoch: [39] [4460/5278] eta: 0:36:40 lr: 3.372045419787357e-07 loss: 0.0273 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0689 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7060 data: 0.0027 max mem: 31671 Epoch: [39] [4470/5278] eta: 0:36:14 lr: 3.33487642866039e-07 loss: 0.0271 (0.0298) loss_seg: 0.0290 (0.0318) loss_lansim: 0.0686 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7262 data: 0.0027 max mem: 31671 Epoch: [39] [4480/5278] eta: 0:35:47 lr: 3.2976613495162693e-07 loss: 0.0274 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0692 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7341 data: 0.0027 max mem: 31671 Epoch: [39] [4490/5278] eta: 0:35:20 lr: 3.260399545826958e-07 loss: 0.0273 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0694 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7432 data: 0.0027 max mem: 31671 Epoch: [39] [4500/5278] eta: 0:34:54 lr: 3.2230903640674255e-07 loss: 0.0270 (0.0298) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0692 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7409 data: 0.0027 max mem: 31671 Epoch: [39] [4510/5278] eta: 0:34:26 lr: 3.185733133037099e-07 loss: 0.0274 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0694 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7328 data: 0.0026 max mem: 31671 Epoch: [39] [4520/5278] eta: 0:34:00 lr: 3.148327163144565e-07 loss: 0.0276 (0.0298) loss_seg: 0.0298 (0.0318) loss_lansim: 0.0694 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7367 data: 0.0026 max mem: 31671 Epoch: [39] [4530/5278] eta: 0:33:33 lr: 3.1108717456544037e-07 loss: 0.0276 (0.0298) loss_seg: 0.0299 (0.0318) loss_lansim: 0.0695 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7420 data: 0.0027 max mem: 31671 Epoch: [39] [4540/5278] eta: 0:33:06 lr: 3.0733661518917375e-07 loss: 0.0276 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0696 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7431 data: 0.0027 max mem: 31671 Epoch: [39] [4550/5278] eta: 0:32:39 lr: 3.035809632403042e-07 loss: 0.0287 (0.0298) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0709 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7379 data: 0.0027 max mem: 31671 Epoch: [39] [4560/5278] eta: 0:32:12 lr: 2.9982014160690544e-07 loss: 0.0276 (0.0298) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0709 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7312 data: 0.0026 max mem: 31671 Epoch: [39] [4570/5278] eta: 0:31:45 lr: 2.960540709167804e-07 loss: 0.0272 (0.0298) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7101 data: 0.0026 max mem: 31671 Epoch: [39] [4580/5278] eta: 0:31:18 lr: 2.9228266943823586e-07 loss: 0.0272 (0.0298) loss_seg: 0.0288 (0.0318) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7014 data: 0.0026 max mem: 31671 Epoch: [39] [4590/5278] eta: 0:30:51 lr: 2.885058529750697e-07 loss: 0.0276 (0.0298) loss_seg: 0.0289 (0.0318) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6840 data: 0.0026 max mem: 31671 Epoch: [39] [4600/5278] eta: 0:30:24 lr: 2.8472353475523107e-07 loss: 0.0288 (0.0298) loss_seg: 0.0305 (0.0318) loss_lansim: 0.0717 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6719 data: 0.0026 max mem: 31671 Epoch: [39] [4610/5278] eta: 0:29:57 lr: 2.8093562531282243e-07 loss: 0.0273 (0.0298) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0717 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6790 data: 0.0026 max mem: 31671 Epoch: [39] [4620/5278] eta: 0:29:30 lr: 2.7714203236275003e-07 loss: 0.0264 (0.0298) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0722 (0.0716) loss_contra: 0.0000 (0.0008) time: 2.6778 data: 0.0026 max mem: 31671 Epoch: [39] [4630/5278] eta: 0:29:03 lr: 2.7334266066759955e-07 loss: 0.0264 (0.0298) loss_seg: 0.0285 (0.0318) loss_lansim: 0.0714 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6694 data: 0.0026 max mem: 31671 Epoch: [39] [4640/5278] eta: 0:28:36 lr: 2.6953741189601326e-07 loss: 0.0261 (0.0298) loss_seg: 0.0283 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6740 data: 0.0026 max mem: 31671 Epoch: [39] [4650/5278] eta: 0:28:10 lr: 2.6572618447203443e-07 loss: 0.0261 (0.0298) loss_seg: 0.0283 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6812 data: 0.0027 max mem: 31671 Epoch: [39] [4660/5278] eta: 0:27:43 lr: 2.619088734144974e-07 loss: 0.0273 (0.0298) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6773 data: 0.0026 max mem: 31671 Epoch: [39] [4670/5278] eta: 0:27:16 lr: 2.580853701657906e-07 loss: 0.0276 (0.0297) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0711 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6751 data: 0.0027 max mem: 31671 Epoch: [39] [4680/5278] eta: 0:26:49 lr: 2.542555624089859e-07 loss: 0.0276 (0.0297) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6803 data: 0.0027 max mem: 31671 Epoch: [39] [4690/5278] eta: 0:26:22 lr: 2.504193338724878e-07 loss: 0.0271 (0.0297) loss_seg: 0.0286 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6961 data: 0.0027 max mem: 31671 Epoch: [39] [4700/5278] eta: 0:25:55 lr: 2.4657656412093063e-07 loss: 0.0265 (0.0297) loss_seg: 0.0278 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6991 data: 0.0027 max mem: 31671 Epoch: [39] [4710/5278] eta: 0:25:28 lr: 2.427271283312475e-07 loss: 0.0275 (0.0297) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6999 data: 0.0027 max mem: 31671 Epoch: [39] [4720/5278] eta: 0:25:01 lr: 2.3887089705252853e-07 loss: 0.0281 (0.0297) loss_seg: 0.0301 (0.0318) loss_lansim: 0.0694 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6991 data: 0.0027 max mem: 31671 Epoch: [39] [4730/5278] eta: 0:24:34 lr: 2.3500773594813612e-07 loss: 0.0281 (0.0297) loss_seg: 0.0301 (0.0318) loss_lansim: 0.0694 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7058 data: 0.0027 max mem: 31671 Epoch: [39] [4740/5278] eta: 0:24:07 lr: 2.311375055185611e-07 loss: 0.0283 (0.0297) loss_seg: 0.0302 (0.0318) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6987 data: 0.0027 max mem: 31671 Epoch: [39] [4750/5278] eta: 0:23:41 lr: 2.2726006080299903e-07 loss: 0.0281 (0.0298) loss_seg: 0.0296 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7017 data: 0.0027 max mem: 31671 Epoch: [39] [4760/5278] eta: 0:23:14 lr: 2.2337525105773777e-07 loss: 0.0281 (0.0298) loss_seg: 0.0296 (0.0318) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7052 data: 0.0027 max mem: 31671 Epoch: [39] [4770/5278] eta: 0:22:47 lr: 2.1948291940895212e-07 loss: 0.0281 (0.0297) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7112 data: 0.0027 max mem: 31671 Epoch: [39] [4780/5278] eta: 0:22:20 lr: 2.1558290247747845e-07 loss: 0.0276 (0.0297) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0708 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7062 data: 0.0027 max mem: 31671 Epoch: [39] [4790/5278] eta: 0:21:53 lr: 2.1167502997249835e-07 loss: 0.0276 (0.0297) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7199 data: 0.0027 max mem: 31671 Epoch: [39] [4800/5278] eta: 0:21:26 lr: 2.0775912425102676e-07 loss: 0.0281 (0.0297) loss_seg: 0.0295 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7176 data: 0.0026 max mem: 31671 Epoch: [39] [4810/5278] eta: 0:20:59 lr: 2.0383499983942685e-07 loss: 0.0271 (0.0297) loss_seg: 0.0284 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7173 data: 0.0026 max mem: 31671 Epoch: [39] [4820/5278] eta: 0:20:32 lr: 1.9990246291295167e-07 loss: 0.0267 (0.0297) loss_seg: 0.0279 (0.0317) loss_lansim: 0.0715 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7165 data: 0.0027 max mem: 31671 Epoch: [39] [4830/5278] eta: 0:20:05 lr: 1.9596131072842737e-07 loss: 0.0263 (0.0297) loss_seg: 0.0279 (0.0318) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7156 data: 0.0027 max mem: 31671 Epoch: [39] [4840/5278] eta: 0:19:38 lr: 1.920113310048808e-07 loss: 0.0258 (0.0297) loss_seg: 0.0279 (0.0317) loss_lansim: 0.0699 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7153 data: 0.0027 max mem: 31671 Epoch: [39] [4850/5278] eta: 0:19:11 lr: 1.880523012459092e-07 loss: 0.0258 (0.0297) loss_seg: 0.0279 (0.0317) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6957 data: 0.0026 max mem: 31671 Epoch: [39] [4860/5278] eta: 0:18:44 lr: 1.8408398799697684e-07 loss: 0.0257 (0.0297) loss_seg: 0.0277 (0.0317) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6857 data: 0.0026 max mem: 31671 Epoch: [39] [4870/5278] eta: 0:18:18 lr: 1.8010614602946996e-07 loss: 0.0262 (0.0297) loss_seg: 0.0279 (0.0317) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6899 data: 0.0026 max mem: 31671 Epoch: [39] [4880/5278] eta: 0:17:51 lr: 1.7611851744247586e-07 loss: 0.0258 (0.0297) loss_seg: 0.0278 (0.0317) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6931 data: 0.0026 max mem: 31671 Epoch: [39] [4890/5278] eta: 0:17:24 lr: 1.7212083067157788e-07 loss: 0.0265 (0.0297) loss_seg: 0.0282 (0.0317) loss_lansim: 0.0704 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6747 data: 0.0026 max mem: 31671 Epoch: [39] [4900/5278] eta: 0:16:57 lr: 1.6811279939254694e-07 loss: 0.0254 (0.0297) loss_seg: 0.0274 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6683 data: 0.0026 max mem: 31671 Epoch: [39] [4910/5278] eta: 0:16:30 lr: 1.6409412130548286e-07 loss: 0.0251 (0.0297) loss_seg: 0.0274 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6616 data: 0.0026 max mem: 31671 Epoch: [39] [4920/5278] eta: 0:16:03 lr: 1.6006447678292216e-07 loss: 0.0259 (0.0297) loss_seg: 0.0274 (0.0317) loss_lansim: 0.0696 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6739 data: 0.0026 max mem: 31671 Epoch: [39] [4930/5278] eta: 0:15:36 lr: 1.5602352736231583e-07 loss: 0.0259 (0.0297) loss_seg: 0.0277 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6735 data: 0.0026 max mem: 31671 Epoch: [39] [4940/5278] eta: 0:15:09 lr: 1.5197091406011333e-07 loss: 0.0260 (0.0297) loss_seg: 0.0277 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6709 data: 0.0026 max mem: 31671 Epoch: [39] [4950/5278] eta: 0:14:42 lr: 1.4790625548019113e-07 loss: 0.0266 (0.0297) loss_seg: 0.0285 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6749 data: 0.0026 max mem: 31671 Epoch: [39] [4960/5278] eta: 0:14:15 lr: 1.4382914568462987e-07 loss: 0.0260 (0.0297) loss_seg: 0.0279 (0.0317) loss_lansim: 0.0691 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6924 data: 0.0026 max mem: 31671 Epoch: [39] [4970/5278] eta: 0:13:48 lr: 1.3973915178845845e-07 loss: 0.0259 (0.0297) loss_seg: 0.0284 (0.0317) loss_lansim: 0.0683 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6936 data: 0.0027 max mem: 31671 Epoch: [39] [4980/5278] eta: 0:13:22 lr: 1.35635811232341e-07 loss: 0.0260 (0.0297) loss_seg: 0.0285 (0.0317) loss_lansim: 0.0691 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7224 data: 0.0027 max mem: 31671 Epoch: [39] [4990/5278] eta: 0:12:55 lr: 1.315186286779079e-07 loss: 0.0258 (0.0297) loss_seg: 0.0277 (0.0317) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7262 data: 0.0027 max mem: 31671 Epoch: [39] [5000/5278] eta: 0:12:28 lr: 1.2738707245827484e-07 loss: 0.0272 (0.0297) loss_seg: 0.0291 (0.0317) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7391 data: 0.0027 max mem: 31671 Epoch: [39] [5010/5278] eta: 0:12:01 lr: 1.2324057050178154e-07 loss: 0.0272 (0.0297) loss_seg: 0.0291 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7443 data: 0.0027 max mem: 31671 Epoch: [39] [5020/5278] eta: 0:11:34 lr: 1.1907850562788759e-07 loss: 0.0282 (0.0297) loss_seg: 0.0299 (0.0317) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7240 data: 0.0026 max mem: 31671 Epoch: [39] [5030/5278] eta: 0:11:07 lr: 1.1490021009038998e-07 loss: 0.0282 (0.0297) loss_seg: 0.0301 (0.0317) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7331 data: 0.0026 max mem: 31671 Epoch: [39] [5040/5278] eta: 0:10:40 lr: 1.1070495921179681e-07 loss: 0.0286 (0.0297) loss_seg: 0.0308 (0.0317) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7302 data: 0.0026 max mem: 31671 Epoch: [39] [5050/5278] eta: 0:10:13 lr: 1.0649196391273786e-07 loss: 0.0286 (0.0297) loss_seg: 0.0308 (0.0317) loss_lansim: 0.0710 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7285 data: 0.0026 max mem: 31671 Epoch: [39] [5060/5278] eta: 0:09:46 lr: 1.0226036188705813e-07 loss: 0.0293 (0.0297) loss_seg: 0.0308 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7240 data: 0.0026 max mem: 31671 Epoch: [39] [5070/5278] eta: 0:09:19 lr: 9.80092071031431e-08 loss: 0.0297 (0.0297) loss_seg: 0.0313 (0.0317) loss_lansim: 0.0712 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7129 data: 0.0026 max mem: 31671 Epoch: [39] [5080/5278] eta: 0:08:52 lr: 9.373745721703739e-08 loss: 0.0293 (0.0297) loss_seg: 0.0308 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6780 data: 0.0026 max mem: 31671 Epoch: [39] [5090/5278] eta: 0:08:26 lr: 8.944395835435288e-08 loss: 0.0296 (0.0297) loss_seg: 0.0312 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6750 data: 0.0026 max mem: 31671 Epoch: [39] [5100/5278] eta: 0:07:59 lr: 8.512742653952876e-08 loss: 0.0286 (0.0297) loss_seg: 0.0299 (0.0317) loss_lansim: 0.0701 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6757 data: 0.0026 max mem: 31671 Epoch: [39] [5110/5278] eta: 0:07:32 lr: 8.078642480121587e-08 loss: 0.0287 (0.0297) loss_seg: 0.0299 (0.0317) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6773 data: 0.0026 max mem: 31671 Epoch: [39] [5120/5278] eta: 0:07:05 lr: 7.641933462507396e-08 loss: 0.0288 (0.0297) loss_seg: 0.0302 (0.0317) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6934 data: 0.0026 max mem: 31671 Epoch: [39] [5130/5278] eta: 0:06:38 lr: 7.202431990578926e-08 loss: 0.0290 (0.0297) loss_seg: 0.0306 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6864 data: 0.0026 max mem: 31671 Epoch: [39] [5140/5278] eta: 0:06:11 lr: 6.759928077681818e-08 loss: 0.0284 (0.0297) loss_seg: 0.0297 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6829 data: 0.0026 max mem: 31671 Epoch: [39] [5150/5278] eta: 0:05:44 lr: 6.314179351929863e-08 loss: 0.0272 (0.0297) loss_seg: 0.0288 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6932 data: 0.0026 max mem: 31671 Epoch: [39] [5160/5278] eta: 0:05:17 lr: 5.8649030908792364e-08 loss: 0.0270 (0.0297) loss_seg: 0.0289 (0.0317) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6930 data: 0.0026 max mem: 31671 Epoch: [39] [5170/5278] eta: 0:04:50 lr: 5.411765438525677e-08 loss: 0.0264 (0.0297) loss_seg: 0.0287 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6991 data: 0.0026 max mem: 31671 Epoch: [39] [5180/5278] eta: 0:04:23 lr: 4.954366445786298e-08 loss: 0.0272 (0.0297) loss_seg: 0.0293 (0.0317) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6965 data: 0.0026 max mem: 31671 Epoch: [39] [5190/5278] eta: 0:03:56 lr: 4.4922187085395096e-08 loss: 0.0278 (0.0297) loss_seg: 0.0297 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.7014 data: 0.0026 max mem: 31671 Epoch: [39] [5200/5278] eta: 0:03:29 lr: 4.024715789306472e-08 loss: 0.0284 (0.0297) loss_seg: 0.0297 (0.0317) loss_lansim: 0.0703 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6934 data: 0.0026 max mem: 31671 Epoch: [39] [5210/5278] eta: 0:03:03 lr: 3.551083523511796e-08 loss: 0.0277 (0.0297) loss_seg: 0.0295 (0.0317) loss_lansim: 0.0702 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6907 data: 0.0027 max mem: 31671 Epoch: [39] [5220/5278] eta: 0:02:36 lr: 3.0703008649448016e-08 loss: 0.0278 (0.0297) loss_seg: 0.0297 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6750 data: 0.0027 max mem: 31671 Epoch: [39] [5230/5278] eta: 0:02:09 lr: 2.5809621580666744e-08 loss: 0.0273 (0.0297) loss_seg: 0.0289 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6743 data: 0.0026 max mem: 31671 Epoch: [39] [5240/5278] eta: 0:01:42 lr: 2.0810145489980494e-08 loss: 0.0273 (0.0297) loss_seg: 0.0289 (0.0317) loss_lansim: 0.0705 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6813 data: 0.0026 max mem: 31671 Epoch: [39] [5250/5278] eta: 0:01:15 lr: 1.5671874767305206e-08 loss: 0.0277 (0.0297) loss_seg: 0.0292 (0.0317) loss_lansim: 0.0706 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6736 data: 0.0027 max mem: 31671 Epoch: [39] [5260/5278] eta: 0:00:48 lr: 1.0334693332731133e-08 loss: 0.0284 (0.0297) loss_seg: 0.0294 (0.0317) loss_lansim: 0.0707 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6744 data: 0.0027 max mem: 31671 Epoch: [39] [5270/5278] eta: 0:00:21 lr: 4.650308886050814e-09 loss: 0.0279 (0.0297) loss_seg: 0.0294 (0.0317) loss_lansim: 0.0713 (0.0715) loss_contra: 0.0000 (0.0008) time: 2.6868 data: 0.0027 max mem: 31671 Epoch: [39] Total time: 3:56:49 Test: [ 0/2573] eta: 1:40:58 time: 2.3547 data: 2.1715 max mem: 31671 Test: [ 100/2573] eta: 0:06:49 time: 0.1437 data: 0.0015 max mem: 31671 Test: [ 200/2573] eta: 0:06:12 time: 0.1480 data: 0.0017 max mem: 31671 Test: [ 300/2573] eta: 0:05:45 time: 0.1423 data: 0.0015 max mem: 31671 Test: [ 400/2573] eta: 0:05:30 time: 0.1532 data: 0.0016 max mem: 31671 Test: [ 500/2573] eta: 0:05:13 time: 0.1471 data: 0.0016 max mem: 31671 Test: [ 600/2573] eta: 0:04:57 time: 0.1494 data: 0.0017 max mem: 31671 Test: [ 700/2573] eta: 0:04:43 time: 0.1531 data: 0.0018 max mem: 31671 Test: [ 800/2573] eta: 0:04:28 time: 0.1512 data: 0.0017 max mem: 31671 Test: [ 900/2573] eta: 0:04:13 time: 0.1513 data: 0.0016 max mem: 31671 Test: [1000/2573] eta: 0:03:57 time: 0.1497 data: 0.0016 max mem: 31671 Test: [1100/2573] eta: 0:03:42 time: 0.1469 data: 0.0015 max mem: 31671 Test: [1200/2573] eta: 0:03:26 time: 0.1478 data: 0.0016 max mem: 31671 Test: [1300/2573] eta: 0:03:11 time: 0.1455 data: 0.0016 max mem: 31671 Test: [1400/2573] eta: 0:02:55 time: 0.1413 data: 0.0016 max mem: 31671 Test: [1500/2573] eta: 0:02:40 time: 0.1492 data: 0.0017 max mem: 31671 Test: [1600/2573] eta: 0:02:25 time: 0.1476 data: 0.0017 max mem: 31671 Test: [1700/2573] eta: 0:02:10 time: 0.1497 data: 0.0017 max mem: 31671 Test: [1800/2573] eta: 0:01:55 time: 0.1473 data: 0.0017 max mem: 31671 Test: [1900/2573] eta: 0:01:40 time: 0.1463 data: 0.0017 max mem: 31671 Test: [2000/2573] eta: 0:01:25 time: 0.1467 data: 0.0018 max mem: 31671 Test: [2100/2573] eta: 0:01:10 time: 0.1502 data: 0.0017 max mem: 31671 Test: [2200/2573] eta: 0:00:55 time: 0.1454 data: 0.0017 max mem: 31671 Test: [2300/2573] eta: 0:00:40 time: 0.1497 data: 0.0017 max mem: 31671 Test: [2400/2573] eta: 0:00:25 time: 0.1458 data: 0.0017 max mem: 31671 Test: [2500/2573] eta: 0:00:10 time: 0.1513 data: 0.0016 max mem: 31671 Test: Total time: 0:06:23 Final results: precision@0.5 = 72.71 precision@0.6 = 68.81 precision@0.7 = 62.77 precision@0.8 = 51.31 precision@0.9 = 26.41 overall IoU = 61.60 mean IoU = 64.56 Average object IoU 0.645567696458275 Overall IoU 61.60399551843763 Better epoch: 39 The best_performance is 61.60399551843763 The final_best_performance is 61.60399551843763 Training time 6 days, 9:59:44